diff --git a/assets/model_pricing.json b/assets/model_pricing.json
index e429a74..74fc4a2 100644
--- a/assets/model_pricing.json
+++ b/assets/model_pricing.json
@@ -875,6 +875,30 @@
     "output_cost_per_token": 3e-05,
     "provider": "openai"
   },
+  {
+    "model_pattern": "gpt-5.6",
+    "input_cost_per_token": 5e-06,
+    "output_cost_per_token": 3e-05,
+    "provider": "openai"
+  },
+  {
+    "model_pattern": "gpt-5.6-luna",
+    "input_cost_per_token": 1e-06,
+    "output_cost_per_token": 6e-06,
+    "provider": "openai"
+  },
+  {
+    "model_pattern": "gpt-5.6-sol",
+    "input_cost_per_token": 5e-06,
+    "output_cost_per_token": 3e-05,
+    "provider": "openai"
+  },
+  {
+    "model_pattern": "gpt-5.6-terra",
+    "input_cost_per_token": 2.5e-06,
+    "output_cost_per_token": 1.5e-05,
+    "provider": "openai"
+  },
   {
     "model_pattern": "gpt-audio",
     "input_cost_per_token": 2.5e-06,
@@ -929,6 +953,18 @@
     "output_cost_per_token": 1.6e-05,
     "provider": "openai"
   },
+  {
+    "model_pattern": "gpt-realtime-2.1",
+    "input_cost_per_token": 4e-06,
+    "output_cost_per_token": 2.4e-05,
+    "provider": "openai"
+  },
+  {
+    "model_pattern": "gpt-realtime-2.1-mini",
+    "input_cost_per_token": 6e-07,
+    "output_cost_per_token": 2.4e-06,
+    "provider": "openai"
+  },
   {
     "model_pattern": "gpt-realtime-2025-08-28",
     "input_cost_per_token": 4e-06,
diff --git a/crates/optimizer/crates/optimize-core/src/orchestrator.rs b/crates/optimizer/crates/optimize-core/src/orchestrator.rs
index 6c1a4a9..60177b1 100644
--- a/crates/optimizer/crates/optimize-core/src/orchestrator.rs
+++ b/crates/optimizer/crates/optimize-core/src/orchestrator.rs
@@ -280,350 +280,5 @@ fn decisions_hash(edits: &[(usize, BufferId, EditScript)]) -> u64 {
 }
 
 #[cfg(test)]
-mod tests {
-    use super::*;
-    use crate::budget::HeuristicBudgetCounter;
-    use crate::traits::{CacheModel, Pricing, UniformScorer};
-    use crate::types::{Message, Role};
-
-    struct TestStrategy;
-    impl CacheStrategy for TestStrategy {
-        fn pricing(&self) -> Pricing {
-            Pricing {
-                input: 1.0,
-                cached_read: 0.5,
-                cache_write_mult: 1.0,
-            }
-        }
-        fn model(&self) -> CacheModel {
-            CacheModel::ExplicitBreakpoints
-        }
-        fn breakpoint_at(&self, frontier: usize) -> Option<usize> {
-            Some(frontier)
-        }
-    }
-
-    fn long_user(text: &str) -> Message {
-        Message {
-            role: Role::User,
-            blocks: vec![ContentBlock::Text(text.into())],
-            protection: Protection::Mutable,
-            client_cache_marker: false,
-        }
-    }
-
-    fn convo(n: usize) -> Conversation {
-        let long = "The quick brown fox jumps over the lazy dog again and again across \
-                    the wide green field toward the distant blue mountains beyond the river \
-                    and the tall dark trees under a bright and cloudless summer sky at noon."
-            .to_string();
-        Conversation::new((0..n).map(|_| long_user(&long)).collect())
-    }
-
-    #[test]
-    fn shadow_never_renders_but_reports() {
-        let conv = convo(20);
-        let policy = Policy {
-            mode: Mode::Shadow,
-            ..Default::default()
-        };
-        let mut ws = Workspace::new();
-        let out = optimize(
-            &conv,
-            &policy,
-            &TestStrategy,
-            &UniformScorer,
-            &HeuristicBudgetCounter::default(),
-            &mut ws,
-        );
-        assert!(out.rendered.is_none());
-        assert_eq!(out.report.mode, Mode::Shadow);
-        assert!(out.report.frontier > 0);
-        assert!(out.report.removed_tokens_est > 0);
-    }
-
-    #[test]
-    fn live_renders_and_is_deterministic() {
-        let conv = convo(20);
-        let policy = Policy {
-            mode: Mode::Live,
-            ..Default::default()
-        };
-        let mut ws = Workspace::new();
-        let a = optimize(
-            &conv,
-            &policy,
-            &TestStrategy,
-            &UniformScorer,
-            &HeuristicBudgetCounter::default(),
-            &mut ws,
-        );
-        let b = optimize(
-            &conv,
-            &policy,
-            &TestStrategy,
-            &UniformScorer,
-            &HeuristicBudgetCounter::default(),
-            &mut ws,
-        );
-        assert!(a.rendered.is_some());
-        assert_eq!(a.report.decisions_hash, b.report.decisions_hash);
-        assert!(a.report.applied);
-    }
-
-    #[test]
-    fn cost_delta_is_signed_and_nonzero_for_compression() {
-        let conv = convo(20);
-        let policy = Policy {
-            mode: Mode::Live,
-            ..Default::default()
-        };
-        let mut ws = Workspace::new();
-        let out = optimize(
-            &conv,
-            &policy,
-            &TestStrategy,
-            &UniformScorer,
-            &HeuristicBudgetCounter::default(),
-            &mut ws,
-        );
-        assert!(out.report.applied);
-        assert!(out.report.removed_tokens_est > 0);
-        let expected = net_cost_delta_usd(
-            out.report.removed_tokens_est,
-            out.report.rewrite_suffix_tokens,
-            policy.horizon,
-            &TestStrategy.pricing(),
-            &TestStrategy.model(),
-        );
-        assert!(expected > 0.0, "fixture should have a positive delta");
-        assert_eq!(out.report.est_cost_delta_usd, expected);
-    }
-
-    #[test]
-    fn cost_delta_is_zero_for_noop() {
-        // No message reaches `min_len`, so no edits are produced and dt stays 0 — the
-        // report's delta must be exactly 0.0, not the raw formula's rewrite-cost artifact.
-        let conv = Conversation::new(vec![long_user("too short to compress")]);
-        let policy = Policy {
-            mode: Mode::Live,
-            ..Default::default()
-        };
-        let mut ws = Workspace::new();
-        let out = optimize(
-            &conv,
-            &policy,
-            &TestStrategy,
-            &UniformScorer,
-            &HeuristicBudgetCounter::default(),
-            &mut ws,
-        );
-        assert!(!out.report.applied);
-        assert_eq!(out.report.removed_tokens_est, 0);
-        assert_eq!(out.report.est_cost_delta_usd, 0.0);
-    }
-
-    #[test]
-    fn route_override_turns_off_one_route_while_another_still_compresses() {
-        use crate::policy::{OptimizationPolicy, RouteOverride};
-        use std::collections::HashMap;
-
-        let conv = convo(20);
-        let mut routes = HashMap::new();
-        routes.insert(
-            "batch".to_string(),
-            RouteOverride {
-                mode: Some(Mode::Off),
-                ratios: None,
-                pricing: None,
-            },
-        );
-        let opt_policy = OptimizationPolicy {
-            mode: Mode::Live,
-            routes,
-            ..OptimizationPolicy::default()
-        };
-
-        // Overridden route: rendered stays None, i.e. output ≡ input for that route.
-        let mut ws = Workspace::new();
-        let off = optimize_for_route(
-            &conv,
-            &opt_policy,
-            "batch",
-            &TestStrategy,
-            &UniformScorer,
-            &HeuristicBudgetCounter::default(),
-            &mut ws,
-        );
-        assert!(off.rendered.is_none());
-        assert!(!off.report.applied);
-
-        // Unlisted route: falls back to the top-level Live default and still compresses.
-        let mut ws2 = Workspace::new();
-        let on = optimize_for_route(
-            &conv,
-            &opt_policy,
-            "interactive",
-            &TestStrategy,
-            &UniformScorer,
-            &HeuristicBudgetCounter::default(),
-            &mut ws2,
-        );
-        assert!(on.rendered.is_some());
-        assert!(on.report.applied);
-    }
-
-    /// Scores like `UniformScorer` but sleeps on its very first call, so the deadline
-    /// check ahead of every later message is guaranteed to observe it expired
-    /// regardless of scheduler jitter (sleep duration >> deadline budget below).
-    struct SlowFirstCallScorer {
-        calls: std::sync::atomic::AtomicUsize,
-    }
-    impl TokenScorer for SlowFirstCallScorer {
-        fn score_words(
-            &self,
-            words: &[&str],
-            _ws: &mut Workspace,
-        ) -> Result<Vec<f32>, crate::error::ScoreError> {
-            if self.calls.fetch_add(1, std::sync::atomic::Ordering::SeqCst) == 0 {
-                std::thread::sleep(Duration::from_millis(50));
-            }
-            Ok(vec![0.5; words.len()])
-        }
-        fn artifact_hash(&self) -> u64 {
-            0
-        }
-    }
-
-    #[test]
-    fn deadline_expiry_leaves_later_messages_byte_identical() {
-        // 20 messages -> frontier eligible_end=16 (keep_recent=4), all long enough to
-        // clear `min_len`. A 50ms sleep on the first scorer call vs. a 10ms deadline
-        // guarantees message 0 is scored before the deadline and every later message
-        // observes it already expired (elapsed only ever grows).
-        let conv = convo(20);
-        let mut policy = Policy {
-            mode: Mode::Live,
-            ..Default::default()
-        };
-        policy.compression.deadline = Duration::from_millis(10);
-
-        let scorer = SlowFirstCallScorer {
-            calls: std::sync::atomic::AtomicUsize::new(0),
-        };
-        let mut ws = Workspace::new();
-        let out = optimize(
-            &conv,
-            &policy,
-            &TestStrategy,
-            &scorer,
-            &HeuristicBudgetCounter::default(),
-            &mut ws,
-        );
-
-        assert!(
-            out.report.messages_compressed >= 1,
-            "message scored before the deadline should be compressed"
-        );
-        assert!(
-            out.report.messages_skipped_deadline >= 1,
-            "messages after deadline expiry must be counted as skipped"
-        );
-        assert_eq!(
-            out.report.messages_compressed as usize + out.report.messages_skipped_deadline as usize,
-            out.report.frontier,
-            "every eligible message is either compressed or explicitly deadline-skipped, never silently dropped"
-        );
-
-        let rendered = out
-            .rendered
-            .expect("gate should apply given a nonzero saving");
-        let compressed = out.report.messages_compressed as usize;
-        // Deadline-skipped messages must render byte-identical to the source.
-        for i in compressed..out.report.frontier {
-            assert_eq!(
-                rendered.messages[i].blocks[0], conv.messages[i].blocks[0],
-                "deadline-skipped message {i} must stay byte-identical"
-            );
-        }
-        // The message scored before the deadline actually got edited.
-        assert_ne!(
-            rendered.messages[0].blocks[0], conv.messages[0].blocks[0],
-            "the message scored before the deadline should have been edited"
-        );
-    }
-
-    /// M4.3: `Policy::pricing_override`, loaded from a config string via
-    /// `Pricing::from_config_str` (no hardcoded-table constant), must be what the
-    /// orchestrator actually uses for the cost gate/report — not `TestStrategy`'s own
-    /// (hardcoded-in-code) `pricing()`. Proven by asserting the report's dollar delta
-    /// matches `net_cost_delta_usd` computed with the config pricing and differs from
-    /// the value that would result from `TestStrategy::pricing()` alone.
-    #[test]
-    fn pricing_comes_from_config() {
-        use crate::traits::Pricing;
-
-        let conv = convo(20);
-
-        // Deliberately far from `TestStrategy::pricing()` (input:1.0, cached_read:0.5,
-        // cache_write_mult:1.0) and from any of `anyllm_optimize_passes::cost_gate`'s
-        // hardcoded tables — proves the number really came from this config string.
-        let config_pricing =
-            Pricing::from_config_str("input=9.0\ncached_read=0.05\ncache_write_mult=2.0\n")
-                .expect("well-formed config parses");
-        assert_ne!(config_pricing, TestStrategy.pricing());
-
-        let policy = Policy {
-            mode: Mode::Live,
-            pricing_override: Some(config_pricing),
-            ..Default::default()
-        };
-        let mut ws = Workspace::new();
-        let out = optimize(
-            &conv,
-            &policy,
-            &TestStrategy,
-            &UniformScorer,
-            &HeuristicBudgetCounter::default(),
-            &mut ws,
-        );
-        assert!(out.report.applied);
-        assert!(out.report.removed_tokens_est > 0);
-
-        let expected_from_config = net_cost_delta_usd(
-            out.report.removed_tokens_est,
-            out.report.rewrite_suffix_tokens,
-            policy.horizon,
-            &config_pricing,
-            &TestStrategy.model(),
-        );
-        let would_be_from_hardcoded_strategy = net_cost_delta_usd(
-            out.report.removed_tokens_est,
-            out.report.rewrite_suffix_tokens,
-            policy.horizon,
-            &TestStrategy.pricing(),
-            &TestStrategy.model(),
-        );
-
-        assert_eq!(out.report.est_cost_delta_usd, expected_from_config);
-        assert_ne!(
-            out.report.est_cost_delta_usd, would_be_from_hardcoded_strategy,
-            "orchestrator must use the config-loaded pricing, not the strategy's hardcoded table"
-        );
-    }
-
-    #[test]
-    fn empty_conversation_is_noop() {
-        let conv = Conversation::default();
-        let out = optimize(
-            &conv,
-            &Policy::default(),
-            &TestStrategy,
-            &UniformScorer,
-            &HeuristicBudgetCounter::default(),
-            &mut Workspace::new(),
-        );
-        assert!(out.rendered.is_none());
-        assert_eq!(out.report.frontier, 0);
-    }
-}
+#[path = "orchestrator_tests.rs"]
+mod tests;
diff --git a/crates/optimizer/crates/optimize-core/src/orchestrator_tests.rs b/crates/optimizer/crates/optimize-core/src/orchestrator_tests.rs
new file mode 100644
index 0000000..f2532d7
--- /dev/null
+++ b/crates/optimizer/crates/optimize-core/src/orchestrator_tests.rs
@@ -0,0 +1,345 @@
+use super::*;
+use crate::budget::HeuristicBudgetCounter;
+use crate::traits::{CacheModel, Pricing, UniformScorer};
+use crate::types::{Message, Role};
+
+struct TestStrategy;
+impl CacheStrategy for TestStrategy {
+    fn pricing(&self) -> Pricing {
+        Pricing {
+            input: 1.0,
+            cached_read: 0.5,
+            cache_write_mult: 1.0,
+        }
+    }
+    fn model(&self) -> CacheModel {
+        CacheModel::ExplicitBreakpoints
+    }
+    fn breakpoint_at(&self, frontier: usize) -> Option<usize> {
+        Some(frontier)
+    }
+}
+
+fn long_user(text: &str) -> Message {
+    Message {
+        role: Role::User,
+        blocks: vec![ContentBlock::Text(text.into())],
+        protection: Protection::Mutable,
+        client_cache_marker: false,
+    }
+}
+
+fn convo(n: usize) -> Conversation {
+    let long = "The quick brown fox jumps over the lazy dog again and again across \
+                the wide green field toward the distant blue mountains beyond the river \
+                and the tall dark trees under a bright and cloudless summer sky at noon."
+        .to_string();
+    Conversation::new((0..n).map(|_| long_user(&long)).collect())
+}
+
+#[test]
+fn shadow_never_renders_but_reports() {
+    let conv = convo(20);
+    let policy = Policy {
+        mode: Mode::Shadow,
+        ..Default::default()
+    };
+    let mut ws = Workspace::new();
+    let out = optimize(
+        &conv,
+        &policy,
+        &TestStrategy,
+        &UniformScorer,
+        &HeuristicBudgetCounter::default(),
+        &mut ws,
+    );
+    assert!(out.rendered.is_none());
+    assert_eq!(out.report.mode, Mode::Shadow);
+    assert!(out.report.frontier > 0);
+    assert!(out.report.removed_tokens_est > 0);
+}
+
+#[test]
+fn live_renders_and_is_deterministic() {
+    let conv = convo(20);
+    let policy = Policy {
+        mode: Mode::Live,
+        ..Default::default()
+    };
+    let mut ws = Workspace::new();
+    let a = optimize(
+        &conv,
+        &policy,
+        &TestStrategy,
+        &UniformScorer,
+        &HeuristicBudgetCounter::default(),
+        &mut ws,
+    );
+    let b = optimize(
+        &conv,
+        &policy,
+        &TestStrategy,
+        &UniformScorer,
+        &HeuristicBudgetCounter::default(),
+        &mut ws,
+    );
+    assert!(a.rendered.is_some());
+    assert_eq!(a.report.decisions_hash, b.report.decisions_hash);
+    assert!(a.report.applied);
+}
+
+#[test]
+fn cost_delta_is_signed_and_nonzero_for_compression() {
+    let conv = convo(20);
+    let policy = Policy {
+        mode: Mode::Live,
+        ..Default::default()
+    };
+    let mut ws = Workspace::new();
+    let out = optimize(
+        &conv,
+        &policy,
+        &TestStrategy,
+        &UniformScorer,
+        &HeuristicBudgetCounter::default(),
+        &mut ws,
+    );
+    assert!(out.report.applied);
+    assert!(out.report.removed_tokens_est > 0);
+    let expected = net_cost_delta_usd(
+        out.report.removed_tokens_est,
+        out.report.rewrite_suffix_tokens,
+        policy.horizon,
+        &TestStrategy.pricing(),
+        &TestStrategy.model(),
+    );
+    assert!(expected > 0.0, "fixture should have a positive delta");
+    assert_eq!(out.report.est_cost_delta_usd, expected);
+}
+
+#[test]
+fn cost_delta_is_zero_for_noop() {
+    // No message reaches `min_len`, so no edits are produced and dt stays 0 — the
+    // report's delta must be exactly 0.0, not the raw formula's rewrite-cost artifact.
+    let conv = Conversation::new(vec![long_user("too short to compress")]);
+    let policy = Policy {
+        mode: Mode::Live,
+        ..Default::default()
+    };
+    let mut ws = Workspace::new();
+    let out = optimize(
+        &conv,
+        &policy,
+        &TestStrategy,
+        &UniformScorer,
+        &HeuristicBudgetCounter::default(),
+        &mut ws,
+    );
+    assert!(!out.report.applied);
+    assert_eq!(out.report.removed_tokens_est, 0);
+    assert_eq!(out.report.est_cost_delta_usd, 0.0);
+}
+
+#[test]
+fn route_override_turns_off_one_route_while_another_still_compresses() {
+    use crate::policy::{OptimizationPolicy, RouteOverride};
+    use std::collections::HashMap;
+
+    let conv = convo(20);
+    let mut routes = HashMap::new();
+    routes.insert(
+        "batch".to_string(),
+        RouteOverride {
+            mode: Some(Mode::Off),
+            ratios: None,
+            pricing: None,
+        },
+    );
+    let opt_policy = OptimizationPolicy {
+        mode: Mode::Live,
+        routes,
+        ..OptimizationPolicy::default()
+    };
+
+    // Overridden route: rendered stays None, i.e. output ≡ input for that route.
+    let mut ws = Workspace::new();
+    let off = optimize_for_route(
+        &conv,
+        &opt_policy,
+        "batch",
+        &TestStrategy,
+        &UniformScorer,
+        &HeuristicBudgetCounter::default(),
+        &mut ws,
+    );
+    assert!(off.rendered.is_none());
+    assert!(!off.report.applied);
+
+    // Unlisted route: falls back to the top-level Live default and still compresses.
+    let mut ws2 = Workspace::new();
+    let on = optimize_for_route(
+        &conv,
+        &opt_policy,
+        "interactive",
+        &TestStrategy,
+        &UniformScorer,
+        &HeuristicBudgetCounter::default(),
+        &mut ws2,
+    );
+    assert!(on.rendered.is_some());
+    assert!(on.report.applied);
+}
+
+/// Scores like `UniformScorer` but sleeps on its very first call, so the deadline
+/// check ahead of every later message is guaranteed to observe it expired
+/// regardless of scheduler jitter (sleep duration >> deadline budget below).
+struct SlowFirstCallScorer {
+    calls: std::sync::atomic::AtomicUsize,
+}
+impl TokenScorer for SlowFirstCallScorer {
+    fn score_words(
+        &self,
+        words: &[&str],
+        _ws: &mut Workspace,
+    ) -> Result<Vec<f32>, crate::error::ScoreError> {
+        if self.calls.fetch_add(1, std::sync::atomic::Ordering::SeqCst) == 0 {
+            std::thread::sleep(Duration::from_millis(50));
+        }
+        Ok(vec![0.5; words.len()])
+    }
+    fn artifact_hash(&self) -> u64 {
+        0
+    }
+}
+
+#[test]
+fn deadline_expiry_leaves_later_messages_byte_identical() {
+    // 20 messages -> frontier eligible_end=16 (keep_recent=4), all long enough to
+    // clear `min_len`. A 50ms sleep on the first scorer call vs. a 10ms deadline
+    // guarantees message 0 is scored before the deadline and every later message
+    // observes it already expired (elapsed only ever grows).
+    let conv = convo(20);
+    let mut policy = Policy {
+        mode: Mode::Live,
+        ..Default::default()
+    };
+    policy.compression.deadline = Duration::from_millis(10);
+
+    let scorer = SlowFirstCallScorer {
+        calls: std::sync::atomic::AtomicUsize::new(0),
+    };
+    let mut ws = Workspace::new();
+    let out = optimize(
+        &conv,
+        &policy,
+        &TestStrategy,
+        &scorer,
+        &HeuristicBudgetCounter::default(),
+        &mut ws,
+    );
+
+    assert!(
+        out.report.messages_compressed >= 1,
+        "message scored before the deadline should be compressed"
+    );
+    assert!(
+        out.report.messages_skipped_deadline >= 1,
+        "messages after deadline expiry must be counted as skipped"
+    );
+    assert_eq!(
+        out.report.messages_compressed as usize + out.report.messages_skipped_deadline as usize,
+        out.report.frontier,
+        "every eligible message is either compressed or explicitly deadline-skipped, never silently dropped"
+    );
+
+    let rendered = out
+        .rendered
+        .expect("gate should apply given a nonzero saving");
+    let compressed = out.report.messages_compressed as usize;
+    // Deadline-skipped messages must render byte-identical to the source.
+    for i in compressed..out.report.frontier {
+        assert_eq!(
+            rendered.messages[i].blocks[0], conv.messages[i].blocks[0],
+            "deadline-skipped message {i} must stay byte-identical"
+        );
+    }
+    // The message scored before the deadline actually got edited.
+    assert_ne!(
+        rendered.messages[0].blocks[0], conv.messages[0].blocks[0],
+        "the message scored before the deadline should have been edited"
+    );
+}
+
+/// M4.3: `Policy::pricing_override`, loaded from a config string via
+/// `Pricing::from_config_str` (no hardcoded-table constant), must be what the
+/// orchestrator actually uses for the cost gate/report — not `TestStrategy`'s own
+/// (hardcoded-in-code) `pricing()`. Proven by asserting the report's dollar delta
+/// matches `net_cost_delta_usd` computed with the config pricing and differs from
+/// the value that would result from `TestStrategy::pricing()` alone.
+#[test]
+fn pricing_comes_from_config() {
+    use crate::traits::Pricing;
+
+    let conv = convo(20);
+
+    // Deliberately far from `TestStrategy::pricing()` (input:1.0, cached_read:0.5,
+    // cache_write_mult:1.0) and from any of `anyllm_optimize_passes::cost_gate`'s
+    // hardcoded tables — proves the number really came from this config string.
+    let config_pricing =
+        Pricing::from_config_str("input=9.0\ncached_read=0.05\ncache_write_mult=2.0\n")
+            .expect("well-formed config parses");
+    assert_ne!(config_pricing, TestStrategy.pricing());
+
+    let policy = Policy {
+        mode: Mode::Live,
+        pricing_override: Some(config_pricing),
+        ..Default::default()
+    };
+    let mut ws = Workspace::new();
+    let out = optimize(
+        &conv,
+        &policy,
+        &TestStrategy,
+        &UniformScorer,
+        &HeuristicBudgetCounter::default(),
+        &mut ws,
+    );
+    assert!(out.report.applied);
+    assert!(out.report.removed_tokens_est > 0);
+
+    let expected_from_config = net_cost_delta_usd(
+        out.report.removed_tokens_est,
+        out.report.rewrite_suffix_tokens,
+        policy.horizon,
+        &config_pricing,
+        &TestStrategy.model(),
+    );
+    let would_be_from_hardcoded_strategy = net_cost_delta_usd(
+        out.report.removed_tokens_est,
+        out.report.rewrite_suffix_tokens,
+        policy.horizon,
+        &TestStrategy.pricing(),
+        &TestStrategy.model(),
+    );
+
+    assert_eq!(out.report.est_cost_delta_usd, expected_from_config);
+    assert_ne!(
+        out.report.est_cost_delta_usd, would_be_from_hardcoded_strategy,
+        "orchestrator must use the config-loaded pricing, not the strategy's hardcoded table"
+    );
+}
+
+#[test]
+fn empty_conversation_is_noop() {
+    let conv = Conversation::default();
+    let out = optimize(
+        &conv,
+        &Policy::default(),
+        &TestStrategy,
+        &UniformScorer,
+        &HeuristicBudgetCounter::default(),
+        &mut Workspace::new(),
+    );
+    assert!(out.rendered.is_none());
+    assert_eq!(out.report.frontier, 0);
+}
diff --git a/crates/optimizer/optimize-cli/src/client.rs b/crates/optimizer/optimize-cli/src/client.rs
new file mode 100644
index 0000000..20499ca
--- /dev/null
+++ b/crates/optimizer/optimize-cli/src/client.rs
@@ -0,0 +1,195 @@
+use super::{Api, Args};
+use anyhow::{Context, Result};
+use serde_json::{json, Value};
+
+/// One provider response: token usage + the assistant text.
+pub struct Reply {
+    pub prompt_tokens: u64,
+    pub text: String,
+}
+
+/// Send one request and return usage + assistant text.
+pub fn send_request(
+    client: &reqwest::blocking::Client,
+    args: &Args,
+    body: &Value,
+    base_url: &str,
+    api: Api,
+) -> Result<Reply> {
+    let mut body = body.clone();
+    let url = match api {
+        Api::Openai => format!("{}/chat/completions", base_url.trim_end_matches('/')),
+        Api::Anthropic => format!("{}/messages", base_url.trim_end_matches('/')),
+    };
+    if args.stream {
+        body["stream"] = json!(true);
+        if api == Api::Openai {
+            body["stream_options"] = json!({ "include_usage": true });
+        }
+    }
+
+    let key = resolve_key(args);
+    let mut req = client.post(&url).json(&body);
+    req = match api {
+        Api::Openai => {
+            if key.is_empty() {
+                req
+            } else {
+                req.bearer_auth(key)
+            }
+        }
+        Api::Anthropic => req
+            .header("x-api-key", key)
+            .header("anthropic-version", "2023-06-01"),
+    };
+
+    let resp = req.send().context("request send failed")?;
+    let status = resp.status();
+    let text = resp.text().context("reading response body")?;
+    if !status.is_success() {
+        anyhow::bail!(
+            "HTTP {status}: {}",
+            text.chars().take(300).collect::<String>()
+        );
+    }
+    Ok(Reply {
+        prompt_tokens: extract_prompt_tokens(&text, api, args.stream)
+            .context("could not find prompt/input token usage")?,
+        text: extract_response_text(&text, api, args.stream),
+    })
+}
+
+pub fn resolve_key(args: &Args) -> String {
+    args.api_key
+        .clone()
+        .or_else(|| std::env::var("OPENROUTER_API_KEY").ok())
+        .or_else(|| std::env::var("ANYLLM_API_KEY").ok())
+        .unwrap_or_default()
+}
+
+/// Pull prompt tokens from a JSON body or an SSE stream.
+pub fn extract_prompt_tokens(text: &str, api: Api, stream: bool) -> Result<u64> {
+    let want = |v: &Value| -> Option<u64> {
+        match api {
+            Api::Openai => v.get("usage")?.get("prompt_tokens")?.as_u64(),
+            Api::Anthropic => v
+                .get("usage")
+                .or_else(|| v.get("message").and_then(|m| m.get("usage")))?
+                .get("input_tokens")?
+                .as_u64(),
+        }
+    };
+    if !stream {
+        let v: Value = serde_json::from_str(text)?;
+        return want(&v).context("usage field missing");
+    }
+    for payload in sse_payloads(text) {
+        if let Ok(v) = serde_json::from_str::<Value>(&payload) {
+            if let Some(n) = want(&v) {
+                return Ok(n);
+            }
+        }
+    }
+    anyhow::bail!("no usage in stream")
+}
+
+/// Pull assistant text from a JSON body or an SSE stream. Best-effort: returns "" if the
+/// shape is unrecognized (quality just reads as low, never panics).
+pub fn extract_response_text(text: &str, api: Api, stream: bool) -> String {
+    if !stream {
+        let Ok(v) = serde_json::from_str::<Value>(text) else {
+            return String::new();
+        };
+        return match api {
+            Api::Openai => v
+                .pointer("/choices/0/message/content")
+                .and_then(|c| c.as_str())
+                .unwrap_or("")
+                .to_string(),
+            Api::Anthropic => v
+                .get("content")
+                .and_then(|c| c.as_array())
+                .map(|blocks| {
+                    blocks
+                        .iter()
+                        .filter_map(|b| b.get("text").and_then(|t| t.as_str()))
+                        .collect::<Vec<_>>()
+                        .join("")
+                })
+                .unwrap_or_default(),
+        };
+    }
+    // Streaming: concatenate incremental text deltas.
+    let mut out = String::new();
+    for payload in sse_payloads(text) {
+        let Ok(v) = serde_json::from_str::<Value>(&payload) else {
+            continue;
+        };
+        match api {
+            Api::Openai => {
+                if let Some(s) = v
+                    .pointer("/choices/0/delta/content")
+                    .and_then(|c| c.as_str())
+                {
+                    out.push_str(s);
+                }
+            }
+            Api::Anthropic => {
+                if let Some(s) = v.pointer("/delta/text").and_then(|c| c.as_str()) {
+                    out.push_str(s);
+                }
+            }
+        }
+    }
+    out
+}
+
+/// Yield the JSON payload of each `data:` SSE line, skipping `[DONE]`.
+pub fn sse_payloads(text: &str) -> impl Iterator<Item = String> + '_ {
+    text.lines().filter_map(|line| {
+        let payload = line.trim().strip_prefix("data:")?.trim();
+        (payload != "[DONE]").then(|| payload.to_string())
+    })
+}
+
+/// Ask an OpenAI-compatible judge model to score 1-5 how well `comp` preserves `raw`.
+pub fn run_judge(
+    client: &reqwest::blocking::Client,
+    args: &Args,
+    raw: &str,
+    comp: &str,
+) -> Result<u32> {
+    let model = args.judge_model.as_ref().context("no judge model")?;
+    let base = args.judge_base_url.as_deref().unwrap_or(&args.base_url);
+    let prompt = format!(
+        "You compare two AI assistant responses to the same user request. Response A is \
+         from the full prompt; Response B is from a compressed prompt. Score 1-5 how well B \
+         preserves A's meaning and quality (5 = equivalent, 1 = badly degraded). Reply with \
+         ONLY the integer.\n\n[A]\n{raw}\n\n[B]\n{comp}"
+    );
+    let body = json!({
+        "model": model,
+        "messages": [{ "role": "user", "content": prompt }],
+        "max_tokens": 4,
+        "temperature": 0,
+    });
+    let url = format!("{}/chat/completions", base.trim_end_matches('/'));
+    let key = resolve_key(args);
+    let mut req = client.post(&url).json(&body);
+    if !key.is_empty() {
+        req = req.bearer_auth(key);
+    }
+    let resp = req.send().context("judge send failed")?;
+    let text = resp.text().context("reading judge response")?;
+    let v: Value = serde_json::from_str(&text).context("judge response not JSON")?;
+    let content = v
+        .pointer("/choices/0/message/content")
+        .and_then(|c| c.as_str())
+        .context("judge response has no content")?;
+    let score = content
+        .chars()
+        .find(|c| ('1'..='5').contains(c))
+        .and_then(|c| c.to_digit(10))
+        .context("no 1-5 score in judge reply")?;
+    Ok(score)
+}
diff --git a/crates/optimizer/optimize-cli/src/cost.rs b/crates/optimizer/optimize-cli/src/cost.rs
new file mode 100644
index 0000000..e15bdca
--- /dev/null
+++ b/crates/optimizer/optimize-cli/src/cost.rs
@@ -0,0 +1,78 @@
+use super::{build_scorer, compress, ensure_model, load_inputs, Api, Args};
+use anyhow::Result;
+use anyllm_optimize_core::{net_cost_delta_usd, CacheModel, CacheStrategy};
+use anyllm_optimize_passes::{AnthropicStrategy, OpenAiStrategy};
+
+/// EH-0002 bite 2: simulate the frozen-frontier policy over `--input` and print the
+/// signed net USD delta (compress vs skip) the cost gate computes per row, plus a class
+/// total. Fully offline (no network) — the ΔT/S the gate uses come straight out of the
+/// same `optimize()` call the harness already runs, so this is not a re-derivation, it is
+/// the actual decision the frontier + cost gate would make.
+pub fn run_net_cost(args: &Args) -> Result<()> {
+    let bodies = load_inputs(args)?;
+    let scorer = build_scorer(args);
+    let (pricing, model) = match args.cost_model.unwrap_or(args.api) {
+        Api::Openai => (
+            OpenAiStrategy::default().pricing(),
+            OpenAiStrategy::default().model(),
+        ),
+        Api::Anthropic => (
+            AnthropicStrategy::default().pricing(),
+            AnthropicStrategy::default().model(),
+        ),
+    };
+    println!(
+        "{:<4} {:>9} {:>7} {:>7} {:>7} {:>14}",
+        "#", "frontier", "dt", "s", "apply", "net_usd"
+    );
+    let mut total_dt = 0u64;
+    let mut total_net = 0.0f64;
+    for (i, mut raw) in bodies.into_iter().enumerate() {
+        ensure_model(&mut raw, args);
+        // dt/s come from `--api`'s adapter (must match the input's wire shape, or tool/JSON
+        // blocks get mis-segmented — see cost_model doc comment); the apply decision is
+        // then re-derived under `--cost-model`'s pricing/CacheModel, since `report.applied`
+        // reflects `--api`'s own strategy and the two can differ.
+        let (_compressed, report) = compress(&raw, args, scorer.as_ref());
+        let dt = report.removed_tokens_est;
+        let s = report.rewrite_suffix_tokens;
+        let applies = anyllm_optimize_core::should_apply(dt, s, args.horizon, &pricing, &model);
+        // Only realize the delta when the gate actually applies: `applies == false` means
+        // the original is forwarded untouched, so the realized cost change is $0, not the
+        // negative "forced a no-op rewrite" value the raw formula would give for dt=0
+        // (which `should_apply` exists precisely to avoid ever choosing).
+        let net = if applies {
+            net_cost_delta_usd(dt, s, args.horizon, &pricing, &model)
+        } else {
+            0.0
+        };
+        total_dt += dt;
+        total_net += net;
+        println!(
+            "{:<4} {:>9} {:>7} {:>7} {:>7} {:>14.6}",
+            i, report.frontier, dt, s, applies, net
+        );
+    }
+    let model_name = match model {
+        CacheModel::ImplicitPrefix => "implicit-prefix",
+        CacheModel::ExplicitBreakpoints => "explicit-breakpoints",
+    };
+    println!(
+        "\nNET COST (horizon={}, {model_name}, input=${:.2}/Mtok cached_read=${:.2}/Mtok \
+         write_mult={:.2}x): total ΔT={total_dt} tokens, net_delta=${total_net:.6}",
+        args.horizon, pricing.input, pricing.cached_read, pricing.cache_write_mult,
+    );
+    Ok(())
+}
+
+pub fn opt_u64(v: Option<u64>) -> String {
+    v.map(|x| x.to_string()).unwrap_or_else(|| "-".into())
+}
+
+pub fn pct(raw: u64, comp: u64) -> f64 {
+    if raw == 0 {
+        0.0
+    } else {
+        (raw.saturating_sub(comp)) as f64 / raw as f64 * 100.0
+    }
+}
diff --git a/crates/optimizer/optimize-cli/src/main.rs b/crates/optimizer/optimize-cli/src/main.rs
index c840426..5e8e8ed 100644
--- a/crates/optimizer/optimize-cli/src/main.rs
+++ b/crates/optimizer/optimize-cli/src/main.rs
@@ -17,12 +17,9 @@
 //! Fail-open: a network/API error on one row is reported and skipped; the process exits
 //! non-zero if any row failed, but never panics.
 
-use std::collections::HashSet;
-
 use anyhow::{Context, Result};
 use anyllm_optimize_core::{
-    net_cost_delta_usd, BudgetCounter, CacheModel, CacheStrategy, HeuristicBudgetCounter, Mode,
-    OptimizationReport, Policy, TokenScorer, UniformScorer, Workspace,
+    Mode, OptimizationReport, Policy, TokenScorer, UniformScorer, Workspace,
 };
 use anyllm_optimize_passes::adapter::{anthropic, openai};
 use anyllm_optimize_passes::{
@@ -32,10 +29,22 @@ use clap::{Parser, ValueEnum};
 use serde_json::{json, Value};
 
 #[cfg(feature = "tiktoken")]
-mod budget_tiktoken;
+pub(crate) mod budget_tiktoken;
+
+mod client;
+mod cost;
+#[cfg(test)]
+mod tests;
+mod token_count;
+mod utils;
+
+use client::{run_judge, send_request};
+use cost::{opt_u64, pct, run_net_cost};
+use token_count::{build_counter, count_local};
+use utils::{jaccard, wrap_prompt};
 
 #[derive(Clone, Copy, Debug, ValueEnum, PartialEq)]
-enum Api {
+pub(crate) enum Api {
     Openai,
     Anthropic,
 }
@@ -45,71 +54,65 @@ enum Api {
     name = "optimize-eval",
     about = "FFEC token-savings + response-quality harness"
 )]
-struct Args {
+pub(crate) struct Args {
     /// Wire format of the target endpoint.
     #[arg(long, value_enum, default_value_t = Api::Openai)]
-    api: Api,
+    pub(crate) api: Api,
     /// Base URL. Ollama: http://localhost:11434/v1 ; OpenRouter: https://openrouter.ai/api/v1
     #[arg(long, default_value = "http://localhost:11434/v1")]
-    base_url: String,
+    pub(crate) base_url: String,
     /// Target model id.
     #[arg(long)]
-    model: String,
+    pub(crate) model: String,
     /// API key. Falls back to $OPENROUTER_API_KEY / $ANYLLM_API_KEY; empty for local.
     #[arg(long)]
-    api_key: Option<String>,
+    pub(crate) api_key: Option<String>,
     /// JSONL file: each line a request body (`{"messages":[...]}`) or a bare prompt string.
     #[arg(long, conflicts_with = "prompt")]
-    input: Option<std::path::PathBuf>,
+    pub(crate) input: Option<std::path::PathBuf>,
     /// A single prompt to test instead of --input.
     #[arg(long)]
-    prompt: Option<String>,
+    pub(crate) prompt: Option<String>,
     /// Use streaming requests (adds include_usage for OpenAI).
     #[arg(long)]
-    stream: bool,
+    pub(crate) stream: bool,
     /// max_tokens for the response (Anthropic requires it; also sent to OpenAI).
     #[arg(long, default_value_t = 256)]
-    max_tokens: u64,
+    pub(crate) max_tokens: u64,
     /// Expected remaining turns (cost-gate horizon).
     #[arg(long, default_value_t = 8)]
-    horizon: u64,
+    pub(crate) horizon: u64,
     /// Only compute local estimates; do not call the network (no quality signal).
     #[arg(long)]
-    offline: bool,
+    pub(crate) offline: bool,
     /// Print both full responses per row (raw vs compressed) for eyeballing quality.
     #[arg(long)]
-    show_responses: bool,
+    pub(crate) show_responses: bool,
     /// Optional OpenAI-compatible judge model. If set, scores 1-5 how well the compressed
     /// response preserves the raw response's meaning/quality (adds one call per row).
     #[arg(long)]
-    judge_model: Option<String>,
+    pub(crate) judge_model: Option<String>,
     /// Base URL for the judge (defaults to --base-url). Must be OpenAI-compatible.
     #[arg(long)]
-    judge_base_url: Option<String>,
+    pub(crate) judge_base_url: Option<String>,
     /// Simulate the frozen-frontier cost gate over the input and print the signed net
     /// USD delta (compress vs skip) per row plus a class total, using the CacheModel and
     /// Pricing table implied by `--api` unless `--cost-model` overrides it (EH-0002 M0.3:
     /// offline, no network needed).
     #[arg(long)]
-    net_cost: bool,
+    pub(crate) net_cost: bool,
     /// Override which provider's CacheModel/Pricing the `--net-cost` dollar math uses,
     /// independent of `--api` (which must still match the input's actual wire shape — the
     /// adapter mis-segments tool/content blocks if it doesn't). Defaults to `--api`.
     #[arg(long, value_enum)]
-    cost_model: Option<Api>,
+    pub(crate) cost_model: Option<Api>,
     /// M3.6: directory containing `model.onnx` + `tokenizer.json` for the real
     /// LLMLingua2Pass ML scorer (ROADMAP D8), used in place of `UniformScorer` for every
     /// message the frontier already selects. Requires building with `--features onnx`;
     /// without it (or on a load failure) this falls back to `UniformScorer` with a
     /// warning, per the fail-open invariant — never a hard error.
     #[arg(long)]
-    llmlingua2_model_dir: Option<std::path::PathBuf>,
-}
-
-/// One provider response: token usage + the assistant text.
-struct Reply {
-    prompt_tokens: u64,
-    text: String,
+    pub(crate) llmlingua2_model_dir: Option<std::path::PathBuf>,
 }
 
 fn main() -> std::process::ExitCode {
@@ -254,7 +257,11 @@ fn run(args: &Args) -> Result<u32> {
 /// `UniformScorer` by default, or the real `LLMLingua2Pass` when `--llmlingua2-model-dir`
 /// resolves (see `build_scorer`) — either way it is only ever invoked by `optimize()` for
 /// frontier-eligible D8 targets (tool results, old RAG blocks, old assistant messages).
-fn compress(raw: &Value, args: &Args, scorer: &dyn TokenScorer) -> (Value, OptimizationReport) {
+pub(crate) fn compress(
+    raw: &Value,
+    args: &Args,
+    scorer: &dyn TokenScorer,
+) -> (Value, OptimizationReport) {
     let policy = Policy {
         mode: Mode::Live,
         horizon: args.horizon,
@@ -271,7 +278,7 @@ fn compress(raw: &Value, args: &Args, scorer: &dyn TokenScorer) -> (Value, Optim
                 &policy,
                 &OpenAiStrategy::default(),
                 scorer,
-                &HeuristicBudgetCounter::default(),
+                &anyllm_optimize_core::HeuristicBudgetCounter::default(),
                 &mut ws,
             );
             if let Some(r) = &res.rendered {
@@ -286,7 +293,7 @@ fn compress(raw: &Value, args: &Args, scorer: &dyn TokenScorer) -> (Value, Optim
                 &policy,
                 &AnthropicStrategy::default(),
                 scorer,
-                &HeuristicBudgetCounter::default(),
+                &anyllm_optimize_core::HeuristicBudgetCounter::default(),
                 &mut ws,
             );
             if let Some(r) = &res.rendered {
@@ -305,7 +312,7 @@ fn compress(raw: &Value, args: &Args, scorer: &dyn TokenScorer) -> (Value, Optim
 /// that gating already lives in `optimize()`/`compress_message` (see `LLMLingua2Pass`'s
 /// doc comment). Any failure to build/load falls back to `UniformScorer` with a warning
 /// rather than aborting the run.
-fn build_scorer(args: &Args) -> Box<dyn TokenScorer> {
+pub(crate) fn build_scorer(args: &Args) -> Box<dyn TokenScorer> {
     let Some(dir) = &args.llmlingua2_model_dir else {
         return Box::new(UniformScorer);
     };
@@ -364,339 +371,16 @@ fn fnv1a64(bytes: &[u8]) -> u64 {
         .fold(OFFSET, |h, &b| (h ^ b as u64).wrapping_mul(PRIME))
 }
 
-/// EH-0002 bite 2: simulate the frozen-frontier policy over `--input` and print the
-/// signed net USD delta (compress vs skip) the cost gate computes per row, plus a class
-/// total. Fully offline (no network) — the ΔT/S the gate uses come straight out of the
-/// same `optimize()` call the harness already runs, so this is not a re-derivation, it is
-/// the actual decision the frontier + cost gate would make.
-fn run_net_cost(args: &Args) -> Result<()> {
-    let bodies = load_inputs(args)?;
-    let scorer = build_scorer(args);
-    let (pricing, model) = match args.cost_model.unwrap_or(args.api) {
-        Api::Openai => (
-            OpenAiStrategy::default().pricing(),
-            OpenAiStrategy::default().model(),
-        ),
-        Api::Anthropic => (
-            AnthropicStrategy::default().pricing(),
-            AnthropicStrategy::default().model(),
-        ),
-    };
-    println!(
-        "{:<4} {:>9} {:>7} {:>7} {:>7} {:>14}",
-        "#", "frontier", "dt", "s", "apply", "net_usd"
-    );
-    let mut total_dt = 0u64;
-    let mut total_net = 0.0f64;
-    for (i, mut raw) in bodies.into_iter().enumerate() {
-        ensure_model(&mut raw, args);
-        // dt/s come from `--api`'s adapter (must match the input's wire shape, or tool/JSON
-        // blocks get mis-segmented — see cost_model doc comment); the apply decision is
-        // then re-derived under `--cost-model`'s pricing/CacheModel, since `report.applied`
-        // reflects `--api`'s own strategy and the two can differ.
-        let (_compressed, report) = compress(&raw, args, scorer.as_ref());
-        let dt = report.removed_tokens_est;
-        let s = report.rewrite_suffix_tokens;
-        let applies = anyllm_optimize_core::should_apply(dt, s, args.horizon, &pricing, &model);
-        // Only realize the delta when the gate actually applies: `applies == false` means
-        // the original is forwarded untouched, so the realized cost change is $0, not the
-        // negative "forced a no-op rewrite" value the raw formula would give for dt=0
-        // (which `should_apply` exists precisely to avoid ever choosing).
-        let net = if applies {
-            net_cost_delta_usd(dt, s, args.horizon, &pricing, &model)
-        } else {
-            0.0
-        };
-        total_dt += dt;
-        total_net += net;
-        println!(
-            "{:<4} {:>9} {:>7} {:>7} {:>7} {:>14.6}",
-            i, report.frontier, dt, s, applies, net
-        );
-    }
-    let model_name = match model {
-        CacheModel::ImplicitPrefix => "implicit-prefix",
-        CacheModel::ExplicitBreakpoints => "explicit-breakpoints",
-    };
-    println!(
-        "\nNET COST (horizon={}, {model_name}, input=${:.2}/Mtok cached_read=${:.2}/Mtok \
-         write_mult={:.2}x): total ΔT={total_dt} tokens, net_delta=${total_net:.6}",
-        args.horizon, pricing.input, pricing.cached_read, pricing.cache_write_mult,
-    );
-    Ok(())
-}
-
-fn ensure_model(body: &mut Value, args: &Args) {
+pub(crate) fn ensure_model(body: &mut Value, args: &Args) {
     body["model"] = json!(args.model);
     if args.api == Api::Anthropic && body.get("max_tokens").is_none() {
         body["max_tokens"] = json!(args.max_tokens);
     }
 }
 
-/// M3.6: selects the counter `count_local` uses to report est_raw/est_comp. Defaults to
-/// `HeuristicBudgetCounter` (bytes/3.6, provider-agnostic). When this binary is built with
-/// `--features tiktoken` AND the target is OpenAI-shaped, uses the exact `o200k_base`
-/// tokenizer instead — Anthropic's tokenizer is unpublished, so the heuristic remains the
-/// only option there (ROADMAP risk 3). This only changes what the harness *reports*; the
-/// planning counter `compress()` passes into `optimize()` is unchanged.
-#[cfg_attr(not(feature = "tiktoken"), allow(unused_variables))]
-fn build_counter(args: &Args) -> Box<dyn BudgetCounter> {
-    #[cfg(feature = "tiktoken")]
-    if args.api == Api::Openai {
-        return Box::new(budget_tiktoken::TiktokenBudgetCounter);
-    }
-    Box::new(HeuristicBudgetCounter::default())
-}
-
-/// Local token estimate: sum the budget counter over all message text content.
-fn count_local(body: &Value, api: Api, counter: &dyn BudgetCounter) -> u64 {
-    let mut total = 0u64;
-    if api == Api::Anthropic {
-        if let Some(sys) = body.get("system") {
-            total += count_content(sys, counter);
-        }
-    }
-    if let Some(msgs) = body.get("messages").and_then(|m| m.as_array()) {
-        for m in msgs {
-            if let Some(c) = m.get("content") {
-                total += count_content(c, counter);
-            }
-        }
-    }
-    total
-}
-
-fn count_content(c: &Value, counter: &dyn BudgetCounter) -> u64 {
-    match c {
-        Value::String(s) => counter.count(s),
-        Value::Array(parts) => parts
-            .iter()
-            .map(|p| match p.get("text").and_then(|t| t.as_str()) {
-                Some(t) => counter.count(t),
-                None => counter.count(&p.to_string()),
-            })
-            .sum(),
-        _ => 0,
-    }
-}
-
-/// Send one request and return usage + assistant text.
-fn send_request(
-    client: &reqwest::blocking::Client,
-    args: &Args,
-    body: &Value,
-    base_url: &str,
-    api: Api,
-) -> Result<Reply> {
-    let mut body = body.clone();
-    let url = match api {
-        Api::Openai => format!("{}/chat/completions", base_url.trim_end_matches('/')),
-        Api::Anthropic => format!("{}/messages", base_url.trim_end_matches('/')),
-    };
-    if args.stream {
-        body["stream"] = json!(true);
-        if api == Api::Openai {
-            body["stream_options"] = json!({ "include_usage": true });
-        }
-    }
-
-    let key = resolve_key(args);
-    let mut req = client.post(&url).json(&body);
-    req = match api {
-        Api::Openai => {
-            if key.is_empty() {
-                req
-            } else {
-                req.bearer_auth(key)
-            }
-        }
-        Api::Anthropic => req
-            .header("x-api-key", key)
-            .header("anthropic-version", "2023-06-01"),
-    };
-
-    let resp = req.send().context("request send failed")?;
-    let status = resp.status();
-    let text = resp.text().context("reading response body")?;
-    if !status.is_success() {
-        anyhow::bail!(
-            "HTTP {status}: {}",
-            text.chars().take(300).collect::<String>()
-        );
-    }
-    Ok(Reply {
-        prompt_tokens: extract_prompt_tokens(&text, api, args.stream)
-            .context("could not find prompt/input token usage")?,
-        text: extract_response_text(&text, api, args.stream),
-    })
-}
-
-fn resolve_key(args: &Args) -> String {
-    args.api_key
-        .clone()
-        .or_else(|| std::env::var("OPENROUTER_API_KEY").ok())
-        .or_else(|| std::env::var("ANYLLM_API_KEY").ok())
-        .unwrap_or_default()
-}
-
-/// Pull prompt tokens from a JSON body or an SSE stream.
-fn extract_prompt_tokens(text: &str, api: Api, stream: bool) -> Result<u64> {
-    let want = |v: &Value| -> Option<u64> {
-        match api {
-            Api::Openai => v.get("usage")?.get("prompt_tokens")?.as_u64(),
-            Api::Anthropic => v
-                .get("usage")
-                .or_else(|| v.get("message").and_then(|m| m.get("usage")))?
-                .get("input_tokens")?
-                .as_u64(),
-        }
-    };
-    if !stream {
-        let v: Value = serde_json::from_str(text)?;
-        return want(&v).context("usage field missing");
-    }
-    for payload in sse_payloads(text) {
-        if let Ok(v) = serde_json::from_str::<Value>(&payload) {
-            if let Some(n) = want(&v) {
-                return Ok(n);
-            }
-        }
-    }
-    anyhow::bail!("no usage in stream")
-}
-
-/// Pull assistant text from a JSON body or an SSE stream. Best-effort: returns "" if the
-/// shape is unrecognized (quality just reads as low, never panics).
-fn extract_response_text(text: &str, api: Api, stream: bool) -> String {
-    if !stream {
-        let Ok(v) = serde_json::from_str::<Value>(text) else {
-            return String::new();
-        };
-        return match api {
-            Api::Openai => v
-                .pointer("/choices/0/message/content")
-                .and_then(|c| c.as_str())
-                .unwrap_or("")
-                .to_string(),
-            Api::Anthropic => v
-                .get("content")
-                .and_then(|c| c.as_array())
-                .map(|blocks| {
-                    blocks
-                        .iter()
-                        .filter_map(|b| b.get("text").and_then(|t| t.as_str()))
-                        .collect::<Vec<_>>()
-                        .join("")
-                })
-                .unwrap_or_default(),
-        };
-    }
-    // Streaming: concatenate incremental text deltas.
-    let mut out = String::new();
-    for payload in sse_payloads(text) {
-        let Ok(v) = serde_json::from_str::<Value>(&payload) else {
-            continue;
-        };
-        match api {
-            Api::Openai => {
-                if let Some(s) = v
-                    .pointer("/choices/0/delta/content")
-                    .and_then(|c| c.as_str())
-                {
-                    out.push_str(s);
-                }
-            }
-            Api::Anthropic => {
-                if let Some(s) = v.pointer("/delta/text").and_then(|c| c.as_str()) {
-                    out.push_str(s);
-                }
-            }
-        }
-    }
-    out
-}
-
-/// Yield the JSON payload of each `data:` SSE line, skipping `[DONE]`.
-fn sse_payloads(text: &str) -> impl Iterator<Item = String> + '_ {
-    text.lines().filter_map(|line| {
-        let payload = line.trim().strip_prefix("data:")?.trim();
-        (payload != "[DONE]").then(|| payload.to_string())
-    })
-}
-
-/// Word-level Jaccard similarity in [0,1]. 1.0 if both empty.
-fn jaccard(a: &str, b: &str) -> f64 {
-    let sa: HashSet<&str> = a.split_whitespace().collect();
-    let sb: HashSet<&str> = b.split_whitespace().collect();
-    if sa.is_empty() && sb.is_empty() {
-        return 1.0;
-    }
-    let inter = sa.intersection(&sb).count() as f64;
-    let uni = sa.union(&sb).count() as f64;
-    if uni == 0.0 {
-        1.0
-    } else {
-        inter / uni
-    }
-}
-
-/// Ask an OpenAI-compatible judge model to score 1-5 how well `comp` preserves `raw`.
-fn run_judge(
-    client: &reqwest::blocking::Client,
-    args: &Args,
-    raw: &str,
-    comp: &str,
-) -> Result<u32> {
-    let model = args.judge_model.as_ref().context("no judge model")?;
-    let base = args.judge_base_url.as_deref().unwrap_or(&args.base_url);
-    let prompt = format!(
-        "You compare two AI assistant responses to the same user request. Response A is \
-         from the full prompt; Response B is from a compressed prompt. Score 1-5 how well B \
-         preserves A's meaning and quality (5 = equivalent, 1 = badly degraded). Reply with \
-         ONLY the integer.\n\n[A]\n{raw}\n\n[B]\n{comp}"
-    );
-    let body = json!({
-        "model": model,
-        "messages": [{ "role": "user", "content": prompt }],
-        "max_tokens": 4,
-        "temperature": 0,
-    });
-    let url = format!("{}/chat/completions", base.trim_end_matches('/'));
-    let key = resolve_key(args);
-    let mut req = client.post(&url).json(&body);
-    if !key.is_empty() {
-        req = req.bearer_auth(key);
-    }
-    let resp = req.send().context("judge send failed")?;
-    let text = resp.text().context("reading judge response")?;
-    let v: Value = serde_json::from_str(&text).context("judge response not JSON")?;
-    let content = v
-        .pointer("/choices/0/message/content")
-        .and_then(|c| c.as_str())
-        .context("judge response has no content")?;
-    let score = content
-        .chars()
-        .find(|c| ('1'..='5').contains(c))
-        .and_then(|c| c.to_digit(10))
-        .context("no 1-5 score in judge reply")?;
-    Ok(score)
-}
-
-fn opt_u64(v: Option<u64>) -> String {
-    v.map(|x| x.to_string()).unwrap_or_else(|| "-".into())
-}
-
-fn pct(raw: u64, comp: u64) -> f64 {
-    if raw == 0 {
-        0.0
-    } else {
-        (raw.saturating_sub(comp)) as f64 / raw as f64 * 100.0
-    }
-}
-
 /// Load input bodies. Each JSONL line is either a full request body (`{"messages":...}`)
 /// or a bare JSON string (treated as one user message).
-fn load_inputs(args: &Args) -> Result<Vec<Value>> {
+pub(crate) fn load_inputs(args: &Args) -> Result<Vec<Value>> {
     if let Some(p) = &args.prompt {
         return Ok(vec![wrap_prompt(p)]);
     }
@@ -721,54 +405,3 @@ fn load_inputs(args: &Args) -> Result<Vec<Value>> {
     }
     Ok(out)
 }
-
-fn wrap_prompt(p: &str) -> Value {
-    json!({ "messages": [ { "role": "user", "content": p } ] })
-}
-
-#[cfg(test)]
-mod tests {
-    use super::*;
-
-    #[test]
-    fn jaccard_bounds() {
-        assert_eq!(jaccard("", ""), 1.0);
-        assert_eq!(jaccard("a b c", "a b c"), 1.0);
-        assert!((jaccard("a b", "b c") - 1.0 / 3.0).abs() < 1e-9);
-        assert_eq!(jaccard("a", "z"), 0.0);
-    }
-
-    #[test]
-    fn extract_openai_nonstream() {
-        let body =
-            r#"{"choices":[{"message":{"content":"hello there"}}],"usage":{"prompt_tokens":42}}"#;
-        assert_eq!(extract_prompt_tokens(body, Api::Openai, false).unwrap(), 42);
-        assert_eq!(
-            extract_response_text(body, Api::Openai, false),
-            "hello there"
-        );
-    }
-
-    #[test]
-    fn extract_anthropic_nonstream() {
-        let body = r#"{"content":[{"type":"text","text":"hi"},{"type":"text","text":" world"}],"usage":{"input_tokens":7}}"#;
-        assert_eq!(
-            extract_prompt_tokens(body, Api::Anthropic, false).unwrap(),
-            7
-        );
-        assert_eq!(
-            extract_response_text(body, Api::Anthropic, false),
-            "hi world"
-        );
-    }
-
-    #[test]
-    fn extract_openai_stream_text_and_usage() {
-        let sse = "data: {\"choices\":[{\"delta\":{\"content\":\"foo\"}}]}\n\
-                   data: {\"choices\":[{\"delta\":{\"content\":\"bar\"}}]}\n\
-                   data: {\"choices\":[],\"usage\":{\"prompt_tokens\":11}}\n\
-                   data: [DONE]\n";
-        assert_eq!(extract_prompt_tokens(sse, Api::Openai, true).unwrap(), 11);
-        assert_eq!(extract_response_text(sse, Api::Openai, true), "foobar");
-    }
-}
diff --git a/crates/optimizer/optimize-cli/src/tests.rs b/crates/optimizer/optimize-cli/src/tests.rs
new file mode 100644
index 0000000..2f5c036
--- /dev/null
+++ b/crates/optimizer/optimize-cli/src/tests.rs
@@ -0,0 +1,43 @@
+use super::{client::*, utils::*, Api};
+
+#[test]
+fn jaccard_bounds() {
+    assert_eq!(jaccard("", ""), 1.0);
+    assert_eq!(jaccard("a b c", "a b c"), 1.0);
+    assert!((jaccard("a b", "b c") - 1.0 / 3.0).abs() < 1e-9);
+    assert_eq!(jaccard("a", "z"), 0.0);
+}
+
+#[test]
+fn extract_openai_nonstream() {
+    let body =
+        r#"{"choices":[{"message":{"content":"hello there"}}],"usage":{"prompt_tokens":42}}"#;
+    assert_eq!(extract_prompt_tokens(body, Api::Openai, false).unwrap(), 42);
+    assert_eq!(
+        extract_response_text(body, Api::Openai, false),
+        "hello there"
+    );
+}
+
+#[test]
+fn extract_anthropic_nonstream() {
+    let body = r#"{"content":[{"type":"text","text":"hi"},{"type":"text","text":" world"}],"usage":{"input_tokens":7}}"#;
+    assert_eq!(
+        extract_prompt_tokens(body, Api::Anthropic, false).unwrap(),
+        7
+    );
+    assert_eq!(
+        extract_response_text(body, Api::Anthropic, false),
+        "hi world"
+    );
+}
+
+#[test]
+fn extract_openai_stream_text_and_usage() {
+    let sse = "data: {\"choices\":[{\"delta\":{\"content\":\"foo\"}}]}\n\
+               data: {\"choices\":[{\"delta\":{\"content\":\"bar\"}}]}\n\
+               data: {\"choices\":[],\"usage\":{\"prompt_tokens\":11}}\n\
+               data: [DONE]\n";
+    assert_eq!(extract_prompt_tokens(sse, Api::Openai, true).unwrap(), 11);
+    assert_eq!(extract_response_text(sse, Api::Openai, true), "foobar");
+}
diff --git a/crates/optimizer/optimize-cli/src/token_count.rs b/crates/optimizer/optimize-cli/src/token_count.rs
new file mode 100644
index 0000000..2bc37a8
--- /dev/null
+++ b/crates/optimizer/optimize-cli/src/token_count.rs
@@ -0,0 +1,50 @@
+use super::{Api, Args};
+use anyllm_optimize_core::{BudgetCounter, HeuristicBudgetCounter};
+use serde_json::Value;
+
+/// M3.6: selects the counter `count_local` uses to report est_raw/est_comp. Defaults to
+/// `HeuristicBudgetCounter` (bytes/3.6, provider-agnostic). When this binary is built with
+/// `--features tiktoken` AND the target is OpenAI-shaped, uses the exact `o200k_base`
+/// tokenizer instead — Anthropic's tokenizer is unpublished, so the heuristic remains the
+/// only option there (ROADMAP risk 3). This only changes what the harness *reports*; the
+/// planning counter `compress()` passes into `optimize()` is unchanged.
+#[cfg_attr(not(feature = "tiktoken"), allow(unused_variables))]
+pub fn build_counter(args: &Args) -> Box<dyn BudgetCounter> {
+    #[cfg(feature = "tiktoken")]
+    if args.api == Api::Openai {
+        return Box::new(super::budget_tiktoken::TiktokenBudgetCounter);
+    }
+    Box::new(HeuristicBudgetCounter::default())
+}
+
+/// Local token estimate: sum the budget counter over all message text content.
+pub fn count_local(body: &Value, api: Api, counter: &dyn BudgetCounter) -> u64 {
+    let mut total = 0u64;
+    if api == Api::Anthropic {
+        if let Some(sys) = body.get("system") {
+            total += count_content(sys, counter);
+        }
+    }
+    if let Some(msgs) = body.get("messages").and_then(|m| m.as_array()) {
+        for m in msgs {
+            if let Some(c) = m.get("content") {
+                total += count_content(c, counter);
+            }
+        }
+    }
+    total
+}
+
+pub fn count_content(c: &Value, counter: &dyn BudgetCounter) -> u64 {
+    match c {
+        Value::String(s) => counter.count(s),
+        Value::Array(parts) => parts
+            .iter()
+            .map(|p| match p.get("text").and_then(|t| t.as_str()) {
+                Some(t) => counter.count(t),
+                None => counter.count(&p.to_string()),
+            })
+            .sum(),
+        _ => 0,
+    }
+}
diff --git a/crates/optimizer/optimize-cli/src/utils.rs b/crates/optimizer/optimize-cli/src/utils.rs
new file mode 100644
index 0000000..d4d5c69
--- /dev/null
+++ b/crates/optimizer/optimize-cli/src/utils.rs
@@ -0,0 +1,22 @@
+use serde_json::{json, Value};
+use std::collections::HashSet;
+
+/// Word-level Jaccard similarity in [0,1]. 1.0 if both empty.
+pub fn jaccard(a: &str, b: &str) -> f64 {
+    let sa: HashSet<&str> = a.split_whitespace().collect();
+    let sb: HashSet<&str> = b.split_whitespace().collect();
+    if sa.is_empty() && sb.is_empty() {
+        return 1.0;
+    }
+    let inter = sa.intersection(&sb).count() as f64;
+    let uni = sa.union(&sb).count() as f64;
+    if uni == 0.0 {
+        1.0
+    } else {
+        inter / uni
+    }
+}
+
+pub fn wrap_prompt(p: &str) -> Value {
+    json!({ "messages": [ { "role": "user", "content": p } ] })
+}
diff --git a/crates/providers/README.md b/crates/providers/README.md
index 7221607..896d4b7 100644
--- a/crates/providers/README.md
+++ b/crates/providers/README.md
@@ -1,6 +1,6 @@
 # anyllm_providers
 
-Provider and model catalog for the [anyllm-proxy](https://github.com/whit3rabbit/llm-translate-api) workspace.
+Provider and model catalog.
 
 ## What this crate is
 
diff --git a/crates/proxy/admin-ui/dist/index.html b/crates/proxy/admin-ui/dist/index.html
index 1cc5068..0095e83 100644
--- a/crates/proxy/admin-ui/dist/index.html
+++ b/crates/proxy/admin-ui/dist/index.html
@@ -12,17 +12,17 @@
 `);for(i=r=0;r<c.length&&!c[r].includes(`DetermineComponentFrameRoot`);)r++;for(;i<l.length&&!l[i].includes(`DetermineComponentFrameRoot`);)i++;if(r===c.length||i===l.length)for(r=c.length-1,i=l.length-1;1<=r&&0<=i&&c[r]!==l[i];)i--;for(;1<=r&&0<=i;r--,i--)if(c[r]!==l[i]){if(r!==1||i!==1)do if(r--,i--,0>i||c[r]!==l[i]){var u=`
 `+c[r].replace(` at new `,` at `);return e.displayName&&u.includes(`<anonymous>`)&&(u=u.replace(`<anonymous>`,e.displayName)),u}while(1<=r&&0<=i);break}}}finally{Ce=!1,Error.prepareStackTrace=n}return(n=e?e.displayName||e.name:``)?Se(n):``}function Te(e,t){switch(e.tag){case 26:case 27:case 5:return Se(e.type);case 16:return Se(`Lazy`);case 13:return e.child!==t&&t!==null?Se(`Suspense Fallback`):Se(`Suspense`);case 19:return Se(`SuspenseList`);case 0:case 15:return we(e.type,!1);case 11:return we(e.type.render,!1);case 1:return we(e.type,!0);case 31:return Se(`Activity`);default:return``}}function Ee(e){try{var t=``,n=null;do t+=Te(e,n),n=e,e=e.return;while(e);return t}catch(e){return`
 Error generating stack: `+e.message+`
-`+e.stack}}var De=Object.prototype.hasOwnProperty,Oe=t.unstable_scheduleCallback,ke=t.unstable_cancelCallback,Ae=t.unstable_shouldYield,je=t.unstable_requestPaint,Me=t.unstable_now,Ne=t.unstable_getCurrentPriorityLevel,Pe=t.unstable_ImmediatePriority,Fe=t.unstable_UserBlockingPriority,Ie=t.unstable_NormalPriority,Le=t.unstable_LowPriority,Re=t.unstable_IdlePriority,ze=t.log,Be=t.unstable_setDisableYieldValue,Ve=null,He=null;function Ue(e){if(typeof ze==`function`&&Be(e),He&&typeof He.setStrictMode==`function`)try{He.setStrictMode(Ve,e)}catch{}}var We=Math.clz32?Math.clz32:qe,Ge=Math.log,Ke=Math.LN2;function qe(e){return e>>>=0,e===0?32:31-(Ge(e)/Ke|0)|0}var Je=256,Ye=262144,Xe=4194304;function Ze(e){var t=e&42;if(t!==0)return t;switch(e&-e){case 1:return 1;case 2:return 2;case 4:return 4;case 8:return 8;case 16:return 16;case 32:return 32;case 64:return 64;case 128:return 128;case 256:case 512:case 1024:case 2048:case 4096:case 8192:case 16384:case 32768:case 65536:case 131072:return 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r=e.alternate;r!==null&&(r.lanes|=t),$i(e.return,t,n)}function Dc(e,t,n,r,i,a){var o=e.memoizedState;o===null?e.memoizedState={isBackwards:t,rendering:null,renderingStartTime:0,last:r,tail:n,tailMode:i,treeForkCount:a}:(o.isBackwards=t,o.rendering=null,o.renderingStartTime=0,o.last=r,o.tail=n,o.tailMode=i,o.treeForkCount=a)}function Oc(e,t,n){var r=t.pendingProps,i=r.revealOrder,a=r.tail;r=r.children;var o=fo.current,s=(o&2)!=0;if(s?(o=o&1|2,t.flags|=128):o&=1,j(fo,o),ic(e,t,r,n),r=I?Ti:0,!s&&e!==null&&e.flags&128)a:for(e=t.child;e!==null;){if(e.tag===13)e.memoizedState!==null&&Ec(e,n,t);else if(e.tag===19)Ec(e,n,t);else if(e.child!==null){e.child.return=e,e=e.child;continue}if(e===t)break a;for(;e.sibling===null;){if(e.return===null||e.return===t)break a;e=e.return}e.sibling.return=e.return,e=e.sibling}switch(i){case`forwards`:for(n=t.child,i=null;n!==null;)e=n.alternate,e!==null&&po(e)===null&&(i=n),n=n.sibling;n=i,n===null?(i=t.child,t.child=null):(i=n.sibling,n.sibling=null),Dc(t,!1,i,n,a,r);break;case`backwards`:case`unstable_legacy-backwards`:for(n=null,i=t.child,t.child=null;i!==null;){if(e=i.alternate,e!==null&&po(e)===null){t.child=i;break}e=i.sibling,i.sibling=n,n=i,i=e}Dc(t,!0,n,null,a,r);break;case`together`:Dc(t,!1,null,null,void 0,r);break;default:t.memoizedState=null}return t.child}function kc(e,t,n){if(e!==null&&(t.dependencies=e.dependencies),Kl|=t.lanes,(n&t.childLanes)===0)if(e!==null){if(ta(e,t,n,!1),(n&t.childLanes)===0)return null}else return null;if(e!==null&&t.child!==e.child)throw Error(i(153));if(t.child!==null){for(e=t.child,n=pi(e,e.pendingProps),t.child=n,n.return=t;e.sibling!==null;)e=e.sibling,n=n.sibling=pi(e,e.pendingProps),n.return=t;n.sibling=null}return t.child}function Ac(e,t){return(e.lanes&t)===0?(e=e.dependencies,!!(e!==null&&na(e))):!0}function jc(e,t,n){switch(t.tag){case 3:ge(t,t.stateNode.containerInfo),Zi(t,la,e.memoizedState.cache),Gi();break;case 27:case 5:ve(t);break;case 4:ge(t,t.stateNode.containerInfo);break;case 10:Zi(t,t.type,t.memoizedProps.value);break;case 31:if(t.memoizedState!==null)return t.flags|=128,so(t),null;break;case 13:var r=t.memoizedState;if(r!==null)return r.dehydrated===null?(n&t.child.childLanes)===0?(oo(t),e=kc(e,t,n),e===null?null:e.sibling):Sc(e,t,n):(oo(t),t.flags|=128,null);oo(t);break;case 19:var i=(e.flags&128)!=0;if(r=(n&t.childLanes)!==0,r||(ta(e,t,n,!1),r=(n&t.childLanes)!==0),i){if(r)return Oc(e,t,n);t.flags|=128}if(i=t.memoizedState,i!==null&&(i.rendering=null,i.tail=null,i.lastEffect=null),j(fo,fo.current),r)break;return null;case 22:return t.lanes=0,cc(e,t,n,t.pendingProps);case 24:Zi(t,la,e.memoizedState.cache)}return kc(e,t,n)}function Mc(e,t,n){if(e!==null)if(e.memoizedProps!==t.pendingProps)rc=!0;else{if(!Ac(e,n)&&!(t.flags&128))return rc=!1,jc(e,t,n);rc=!!(e.flags&131072)}else rc=!1,I&&t.flags&1048576&&Mi(t,Ti,t.index);switch(t.lanes=0,t.tag){case 16:a:{var r=t.pendingProps;if(e=Aa(t.elementType),t.type=e,typeof e==`function`)fi(e)?(r=Ks(e,r),t.tag=1,t=_c(null,t,e,r,n)):(t.tag=0,t=hc(null,t,e,r,n));else{if(e!=null){var a=e.$$typeof;if(a===w){t.tag=11,t=ac(null,t,e,r,n);break a}else if(a===D){t.tag=14,t=oc(null,t,e,r,n);break a}}throw t=ae(e)||e,Error(i(306,t,``))}}return t;case 0:return hc(e,t,t.type,t.pendingProps,n);case 1:return r=t.type,a=Ks(r,t.pendingProps),_c(e,t,r,a,n);case 3:a:{if(ge(t,t.stateNode.containerInfo),e===null)throw Error(i(387));r=t.pendingProps;var o=t.memoizedState;a=o.element,Ua(e,t),Xa(t,r,null,n);var s=t.memoizedState;if(r=s.cache,Zi(t,la,r),r!==o.cache&&ea(t,[la],n,!0),Ya(),r=s.element,o.isDehydrated)if(o={element:r,isDehydrated:!1,cache:s.cache},t.updateQueue.baseState=o,t.memoizedState=o,t.flags&256){t=vc(e,t,r,n);break a}else if(r!==a){a=xi(Error(i(424)),t),qi(a),t=vc(e,t,r,n);break a}else{switch(e=t.stateNode.containerInfo,e.nodeType){case 9:e=e.body;break;default:e=e.nodeName===`HTML`?e.ownerDocument.body:e}for(Li=lf(e.firstChild),Ii=t,I=!0,Ri=null,zi=!0,n=Ba(t,null,r,n),t.child=n;n;)n.flags=n.flags&-3|4096,n=n.sibling}else{if(Gi(),r===a){t=kc(e,t,n);break a}ic(e,t,r,n)}t=t.child}return t;case 26:return mc(e,t),e===null?(n=Af(t.type,null,t.pendingProps,null))?t.memoizedState=n:I||(n=t.type,e=t.pendingProps,r=Vd(me.current).createElement(n),r[ft]=t,r[pt]=e,Fd(r,n,e),Tt(r),t.stateNode=r):t.memoizedState=Af(t.type,e.memoizedProps,t.pendingProps,e.memoizedState),null;case 27:return ve(t),e===null&&I&&(r=t.stateNode=pf(t.type,t.pendingProps,me.current),Ii=t,zi=!0,a=Li,Qd(t.type)?(uf=a,Li=lf(r.firstChild)):Li=a),ic(e,t,t.pendingProps.children,n),mc(e,t),e===null&&(t.flags|=4194304),t.child;case 5:return e===null&&I&&((a=r=Li)&&(r=nf(r,t.type,t.pendingProps,zi),r===null?a=!1:(t.stateNode=r,Ii=t,Li=lf(r.firstChild),zi=!1,a=!0)),a||Vi(t)),ve(t),a=t.type,o=t.pendingProps,s=e===null?null:e.memoizedProps,r=o.children,Wd(a,o)?r=null:s!==null&&Wd(a,s)&&(t.flags|=32),t.memoizedState!==null&&(a=wo(e,t,Do,null,null,n),$f._currentValue=a),mc(e,t),ic(e,t,r,n),t.child;case 6:return e===null&&I&&((e=n=Li)&&(n=rf(n,t.pendingProps,zi),n===null?e=!1:(t.stateNode=n,Ii=t,Li=null,e=!0)),e||Vi(t)),null;case 13:return Sc(e,t,n);case 4:return ge(t,t.stateNode.containerInfo),r=t.pendingProps,e===null?t.child=za(t,null,r,n):ic(e,t,r,n),t.child;case 11:return ac(e,t,t.type,t.pendingProps,n);case 7:return ic(e,t,t.pendingProps,n),t.child;case 8:return ic(e,t,t.pendingProps.children,n),t.child;case 12:return ic(e,t,t.pendingProps.children,n),t.child;case 10:return r=t.pendingProps,Zi(t,t.type,r.value),ic(e,t,r.children,n),t.child;case 9:return a=t.type._context,r=t.pendingProps.children,ra(t),a=L(a),r=r(a),t.flags|=1,ic(e,t,r,n),t.child;case 14:return oc(e,t,t.type,t.pendingProps,n);case 15:return sc(e,t,t.type,t.pendingProps,n);case 19:return Oc(e,t,n);case 31:return pc(e,t,n);case 22:return cc(e,t,n,t.pendingProps);case 24:return ra(t),r=L(la),e===null?(a=xa(),a===null&&(a=K,o=ua(),a.pooledCache=o,o.refCount++,o!==null&&(a.pooledCacheLanes|=n),a=o),t.memoizedState={parent:r,cache:a},Ha(t),Zi(t,la,a)):((e.lanes&n)!==0&&(Ua(e,t),Xa(t,null,null,n),Ya()),a=e.memoizedState,o=t.memoizedState,a.parent===r?(r=o.cache,Zi(t,la,r),r!==a.cache&&ea(t,[la],n,!0)):(a={parent:r,cache:r},t.memoizedState=a,t.lanes===0&&(t.memoizedState=t.updateQueue.baseState=a),Zi(t,la,r))),ic(e,t,t.pendingProps.children,n),t.child;case 29:throw t.pendingProps}throw Error(i(156,t.tag))}function Nc(e){e.flags|=4}function Pc(e,t,n,r,i){if((t=(e.mode&32)!=0)&&(t=!1),t){if(e.flags|=16777216,(i&335544128)===i)if(e.stateNode.complete)e.flags|=8192;else if(Tu())e.flags|=8192;else throw ja=Da,Ta}else e.flags&=-16777217}function Fc(e,t){if(t.type!==`stylesheet`||t.state.loading&4)e.flags&=-16777217;else if(e.flags|=16777216,!Gf(t))if(Tu())e.flags|=8192;else throw ja=Da,Ta}function Ic(e,t){t!==null&&(e.flags|=4),e.flags&16384&&(t=e.tag===22?536870912:tt(),e.lanes|=t,Xl|=t)}function Lc(e,t){if(!I)switch(e.tailMode){case`hidden`:t=e.tail;for(var n=null;t!==null;)t.alternate!==null&&(n=t),t=t.sibling;n===null?e.tail=null:n.sibling=null;break;case`collapsed`:n=e.tail;for(var r=null;n!==null;)n.alternate!==null&&(r=n),n=n.sibling;r===null?t||e.tail===null?e.tail=null:e.tail.sibling=null:r.sibling=null}}function Rc(e){var t=e.alternate!==null&&e.alternate.child===e.child,n=0,r=0;if(t)for(var i=e.child;i!==null;)n|=i.lanes|i.childLanes,r|=i.subtreeFlags&65011712,r|=i.flags&65011712,i.return=e,i=i.sibling;else for(i=e.child;i!==null;)n|=i.lanes|i.childLanes,r|=i.subtreeFlags,r|=i.flags,i.return=e,i=i.sibling;return e.subtreeFlags|=r,e.childLanes=n,t}function zc(e,t,n){var r=t.pendingProps;switch(Pi(t),t.tag){case 16:case 15:case 0:case 11:case 7:case 8:case 12:case 9:case 14:return Rc(t),null;case 1:return Rc(t),null;case 3:return n=t.stateNode,r=null,e!==null&&(r=e.memoizedState.cache),t.memoizedState.cache!==r&&(t.flags|=2048),Qi(la),_e(),n.pendingContext&&(n.context=n.pendingContext,n.pendingContext=null),(e===null||e.child===null)&&(Wi(t)?Nc(t):e===null||e.memoizedState.isDehydrated&&!(t.flags&256)||(t.flags|=1024,Ki())),Rc(t),null;case 26:var a=t.type,o=t.memoizedState;return e===null?(Nc(t),o===null?(Rc(t),Pc(t,a,null,r,n)):(Rc(t),Fc(t,o))):o?o===e.memoizedState?(Rc(t),t.flags&=-16777217):(Nc(t),Rc(t),Fc(t,o)):(e=e.memoizedProps,e!==r&&Nc(t),Rc(t),Pc(t,a,e,r,n)),null;case 27:if(ye(t),n=me.current,a=t.type,e!==null&&t.stateNode!=null)e.memoizedProps!==r&&Nc(t);else{if(!r){if(t.stateNode===null)throw Error(i(166));return Rc(t),null}e=fe.current,Wi(t)?Hi(t,e):(e=pf(a,r,n),t.stateNode=e,Nc(t))}return Rc(t),null;case 5:if(ye(t),a=t.type,e!==null&&t.stateNode!=null)e.memoizedProps!==r&&Nc(t);else{if(!r){if(t.stateNode===null)throw Error(i(166));return Rc(t),null}if(o=fe.current,Wi(t))Hi(t,o);else{var s=Vd(me.current);switch(o){case 1:o=s.createElementNS(`http://www.w3.org/2000/svg`,a);break;case 2:o=s.createElementNS(`http://www.w3.org/1998/Math/MathML`,a);break;default:switch(a){case`svg`:o=s.createElementNS(`http://www.w3.org/2000/svg`,a);break;case`math`:o=s.createElementNS(`http://www.w3.org/1998/Math/MathML`,a);break;case`script`:o=s.createElement(`div`),o.innerHTML=`<script><\/script>`,o=o.removeChild(o.firstChild);break;case`select`:o=typeof r.is==`string`?s.createElement(`select`,{is:r.is}):s.createElement(`select`),r.multiple?o.multiple=!0:r.size&&(o.size=r.size);break;default:o=typeof r.is==`string`?s.createElement(a,{is:r.is}):s.createElement(a)}}o[ft]=t,o[pt]=r;a:for(s=t.child;s!==null;){if(s.tag===5||s.tag===6)o.appendChild(s.stateNode);else if(s.tag!==4&&s.tag!==27&&s.child!==null){s.child.return=s,s=s.child;continue}if(s===t)break a;for(;s.sibling===null;){if(s.return===null||s.return===t)break a;s=s.return}s.sibling.return=s.return,s=s.sibling}t.stateNode=o;a:switch(Fd(o,a,r),a){case`button`:case`input`:case`select`:case`textarea`:r=!!r.autoFocus;break a;case`img`:r=!0;break a;default:r=!1}r&&Nc(t)}}return Rc(t),Pc(t,t.type,e===null?null:e.memoizedProps,t.pendingProps,n),null;case 6:if(e&&t.stateNode!=null)e.memoizedProps!==r&&Nc(t);else{if(typeof r!=`string`&&t.stateNode===null)throw Error(i(166));if(e=me.current,Wi(t)){if(e=t.stateNode,n=t.memoizedProps,r=null,a=Ii,a!==null)switch(a.tag){case 27:case 5:r=a.memoizedProps}e[ft]=t,e=!!(e.nodeValue===n||r!==null&&!0===r.suppressHydrationWarning||Nd(e.nodeValue,n)),e||Vi(t,!0)}else e=Vd(e).createTextNode(r),e[ft]=t,t.stateNode=e}return Rc(t),null;case 31:if(n=t.memoizedState,e===null||e.memoizedState!==null){if(r=Wi(t),n!==null){if(e===null){if(!r)throw Error(i(318));if(e=t.memoizedState,e=e===null?null:e.dehydrated,!e)throw Error(i(557));e[ft]=t}else Gi(),!(t.flags&128)&&(t.memoizedState=null),t.flags|=4;Rc(t),e=!1}else n=Ki(),e!==null&&e.memoizedState!==null&&(e.memoizedState.hydrationErrors=n),e=!0;if(!e)return t.flags&256?(uo(t),t):(uo(t),null);if(t.flags&128)throw Error(i(558))}return Rc(t),null;case 13:if(r=t.memoizedState,e===null||e.memoizedState!==null&&e.memoizedState.dehydrated!==null){if(a=Wi(t),r!==null&&r.dehydrated!==null){if(e===null){if(!a)throw Error(i(318));if(a=t.memoizedState,a=a===null?null:a.dehydrated,!a)throw Error(i(317));a[ft]=t}else Gi(),!(t.flags&128)&&(t.memoizedState=null),t.flags|=4;Rc(t),a=!1}else a=Ki(),e!==null&&e.memoizedState!==null&&(e.memoizedState.hydrationErrors=a),a=!0;if(!a)return t.flags&256?(uo(t),t):(uo(t),null)}return uo(t),t.flags&128?(t.lanes=n,t):(n=r!==null,e=e!==null&&e.memoizedState!==null,n&&(r=t.child,a=null,r.alternate!==null&&r.alternate.memoizedState!==null&&r.alternate.memoizedState.cachePool!==null&&(a=r.alternate.memoizedState.cachePool.pool),o=null,r.memoizedState!==null&&r.memoizedState.cachePool!==null&&(o=r.memoizedState.cachePool.pool),o!==a&&(r.flags|=2048)),n!==e&&n&&(t.child.flags|=8192),Ic(t,t.updateQueue),Rc(t),null);case 4:return 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D($e,this).promise;if(e.revert){if(this.state.data===void 0)throw e;return this.state.data}}throw C(nt,this,at).call(this,{type:`error`,error:e}),D(Ze,this).config.onError?.(e,this),D(Ze,this).config.onSettled?.(this.state.data,e,this),e}finally{this.scheduleGc()}}});function it(){return this.state.fetchStatus===`paused`&&this.state.status===`pending`}function at(e){let t=t=>{switch(e.type){case`failed`:return{...t,fetchFailureCount:e.failureCount,fetchFailureReason:e.error};case`pause`:return{...t,fetchStatus:`paused`};case`continue`:return{...t,fetchStatus:`fetching`};case`fetch`:return{...t,...ot(t.data,this.options),fetchMeta:e.meta??null};case`success`:let n={...t,...st(e.data,e.dataUpdatedAt),dataUpdateCount:t.dataUpdateCount+1,...!e.manual&&{fetchStatus:`idle`,fetchFailureCount:0,fetchFailureReason:null}};return T(Xe,this,e.manual?n:void 0),n;case`error`:let r=e.error;return{...t,error:r,errorUpdateCount:t.errorUpdateCount+1,errorUpdatedAt:Date.now(),fetchFailureCount:t.fetchFailureCount+1,fetchFailureReason:r,fetchStatus:`idle`,status:`error`,isInvalidated:!0};case`invalidate`:return{...t,isInvalidated:!0};case`setState`:return{...t,...e.state}}};this.state=t(this.state),Ie.batch(()=>{this.observers.forEach(e=>{e.onQueryUpdate()}),D(Ze,this).notify({query:this,type:`updated`,action:e})})}function ot(e,t){return{fetchFailureCount:0,fetchFailureReason:null,fetchStatus:He(t.networkMode)?`fetching`:`paused`,...e===void 0&&{error:null,status:`pending`}}}function st(e,t){return{data:e,dataUpdatedAt:t??Date.now(),error:null,isInvalidated:!1,status:`success`}}function ct(e){let t=typeof e.initialData==`function`?e.initialData():e.initialData,n=t!==void 0,r=n?typeof e.initialDataUpdatedAt==`function`?e.initialDataUpdatedAt():e.initialDataUpdatedAt:0;return{data:t,dataUpdateCount:0,dataUpdatedAt:n?r??Date.now():0,error:null,errorUpdateCount:0,errorUpdatedAt:0,fetchFailureCount:0,fetchFailureReason:null,fetchMeta:null,isInvalidated:!1,status:n?`success`:`pending`,fetchStatus:`idle`}}Je(),S(),E(),O(),w();var lt,M,ut,dt,ft,pt,mt,ht,gt,_t,vt,yt,bt,xt,St,Ct,wt=(lt=new WeakMap,M=new WeakMap,ut=new WeakMap,dt=new WeakMap,ft=new WeakMap,pt=new WeakMap,mt=new WeakMap,ht=new WeakMap,gt=new WeakMap,_t=new WeakMap,vt=new WeakMap,yt=new WeakMap,bt=new WeakMap,xt=new WeakMap,St=new WeakMap,Ct=new WeakSet,class extends v{constructor(e,t){super(),qe(this,Ct),x(this,lt,void 0),x(this,M,void 0),x(this,ut,void 0),x(this,dt,void 0),x(this,ft,void 0),x(this,pt,void 0),x(this,mt,void 0),x(this,ht,void 0),x(this,gt,void 0),x(this,_t,void 0),x(this,vt,void 0),x(this,yt,void 0),x(this,bt,void 0),x(this,xt,void 0),x(this,St,new Set),this.options=t,T(lt,this,e),T(ht,this,null),T(mt,this,Ne()),this.bindMethods(),this.setOptions(t)}bindMethods(){this.refetch=this.refetch.bind(this)}onSubscribe(){this.listeners.size===1&&(D(M,this).addObserver(this),Ft(D(M,this),this.options)?C(Ct,this,Tt).call(this):this.updateResult(),C(Ct,this,kt).call(this))}onUnsubscribe(){this.hasListeners()||this.destroy()}shouldFetchOnReconnect(){return It(D(M,this),this.options,this.options.refetchOnReconnect)}shouldFetchOnWindowFocus(){return It(D(M,this),this.options,this.options.refetchOnWindowFocus)}destroy(){this.listeners=new Set,C(Ct,this,At).call(this),C(Ct,this,jt).call(this),D(M,this).removeObserver(this)}setOptions(e){let t=this.options,n=D(M,this);if(this.options=D(lt,this).defaultQueryOptions(e),this.options.enabled!==void 0&&typeof this.options.enabled!=`boolean`&&typeof this.options.enabled!=`function`&&typeof fe(this.options.enabled,D(M,this))!=`boolean`)throw Error(`Expected enabled to be a boolean or a callback that returns a boolean`);C(Ct,this,Mt).call(this),D(M,this).setOptions(this.options),t._defaulted&&!be(this.options,t)&&D(lt,this).getQueryCache().notify({type:`observerOptionsUpdated`,query:D(M,this),observer:this});let r=this.hasListeners();r&&Lt(D(M,this),n,this.options,t)&&C(Ct,this,Tt).call(this),this.updateResult(),r&&(D(M,this)!==n||fe(this.options.enabled,D(M,this))!==fe(t.enabled,D(M,this))||j(this.options.staleTime,D(M,this))!==j(t.staleTime,D(M,this)))&&C(Ct,this,Et).call(this);let i=C(Ct,this,Dt).call(this);r&&(D(M,this)!==n||fe(this.options.enabled,D(M,this))!==fe(t.enabled,D(M,this))||i!==D(xt,this))&&C(Ct,this,Ot).call(this,i)}getOptimisticResult(e){let t=D(lt,this).getQueryCache().build(D(lt,this),e),n=this.createResult(t,e);return zt(this,n)&&(T(dt,this,n),T(pt,this,this.options),T(ft,this,D(M,this).state)),n}getCurrentResult(){return D(dt,this)}trackResult(e,t){return new Proxy(e,{get:(e,n)=>(this.trackProp(n),t?.(n),n===`promise`&&(this.trackProp(`data`),!this.options.experimental_prefetchInRender&&D(mt,this).status===`pending`&&D(mt,this).reject(Error(`experimental_prefetchInRender feature flag is not enabled`))),Reflect.get(e,n))})}trackProp(e){D(St,this).add(e)}getCurrentQuery(){return D(M,this)}refetch({...e}={}){return this.fetch({...e})}fetchOptimistic(e){let t=D(lt,this).defaultQueryOptions(e),n=D(lt,this).getQueryCache().build(D(lt,this),t);return n.fetch().then(()=>this.createResult(n,t))}fetch(e){return C(Ct,this,Tt).call(this,{...e,cancelRefetch:e.cancelRefetch??!0}).then(()=>(this.updateResult(),D(dt,this)))}createResult(e,t){let n=D(M,this),r=this.options,i=D(dt,this),a=D(ft,this),o=D(pt,this),s=e===n?D(ut,this):e.state,{state:c}=e,l={...c},u=!1,d;if(t._optimisticResults){let i=this.hasListeners(),a=!i&&Ft(e,t),o=i&&Lt(e,n,t,r);(a||o)&&(l={...l,...ot(c.data,e.options)}),t._optimisticResults===`isRestoring`&&(l.fetchStatus=`idle`)}let{error:f,errorUpdatedAt:p,status:m}=l;d=l.data;let h=!1;if(t.placeholderData!==void 0&&d===void 0&&m===`pending`){let e;i?.isPlaceholderData&&t.placeholderData===o?.placeholderData?(e=i.data,h=!0):e=typeof t.placeholderData==`function`?t.placeholderData(D(vt,this)?.state.data,D(vt,this)):t.placeholderData,e!==void 0&&(m=`success`,d=Te(i?.data,e,t),u=!0)}if(t.select&&d!==void 0&&!h)if(i&&d===a?.data&&t.select===D(gt,this))d=D(_t,this);else try{T(gt,this,t.select),d=t.select(d),d=Te(i?.data,d,t),T(_t,this,d),T(ht,this,null)}catch(e){T(ht,this,e)}D(ht,this)&&(f=D(ht,this),d=D(_t,this),p=Date.now(),m=`error`);let g=l.fetchStatus===`fetching`,_=m===`pending`,v=m===`error`,y=_&&g,b=d!==void 0,x={status:m,fetchStatus:l.fetchStatus,isPending:_,isSuccess:m===`success`,isError:v,isInitialLoading:y,isLoading:y,data:d,dataUpdatedAt:l.dataUpdatedAt,error:f,errorUpdatedAt:p,failureCount:l.fetchFailureCount,failureReason:l.fetchFailureReason,errorUpdateCount:l.errorUpdateCount,isFetched:e.isFetched(),isFetchedAfterMount:l.dataUpdateCount>s.dataUpdateCount||l.errorUpdateCount>s.errorUpdateCount,isFetching:g,isRefetching:g&&!_,isLoadingError:v&&!b,isPaused:l.fetchStatus===`paused`,isPlaceholderData:u,isRefetchError:v&&b,isStale:Rt(e,t),refetch:this.refetch,promise:D(mt,this),isEnabled:fe(t.enabled,e)!==!1};if(this.options.experimental_prefetchInRender){let t=x.data!==void 0,r=x.status===`error`&&!t,i=e=>{r?e.reject(x.error):t&&e.resolve(x.data)},a=()=>{i(T(mt,this,x.promise=Ne()))},o=D(mt,this);switch(o.status){case`pending`:e.queryHash===n.queryHash&&i(o);break;case`fulfilled`:(r||x.data!==o.value)&&a();break;case`rejected`:(!r||x.error!==o.reason)&&a();break}}return x}updateResult(){let e=D(dt,this),t=this.createResult(D(M,this),this.options);T(ft,this,D(M,this).state),T(pt,this,this.options),D(ft,this).data!==void 0&&T(vt,this,D(M,this)),!be(t,e)&&(T(dt,this,t),C(Ct,this,Nt).call(this,{listeners:(()=>{if(!e)return!0;let{notifyOnChangeProps:t}=this.options,n=typeof t==`function`?t():t;if(n===`all`||!n&&!D(St,this).size)return!0;let r=new Set(n??D(St,this));return this.options.throwOnError&&r.add(`error`),Object.keys(D(dt,this)).some(t=>{let n=t;return D(dt,this)[n]!==e[n]&&r.has(n)})})()}))}onQueryUpdate(){this.updateResult(),this.hasListeners()&&C(Ct,this,kt).call(this)}});function Tt(e){C(Ct,this,Mt).call(this);let t=D(M,this).fetch(this.options,e);return e?.throwOnError||(t=t.catch(ce)),t}function Et(){C(Ct,this,At).call(this);let e=j(this.options.staleTime,D(M,this));if(Me.isServer()||D(dt,this).isStale||!ue(e))return;let t=de(D(dt,this).dataUpdatedAt,e)+1;T(yt,this,k.setTimeout(()=>{D(dt,this).isStale||this.updateResult()},t))}function Dt(){return(typeof this.options.refetchInterval==`function`?this.options.refetchInterval(D(M,this)):this.options.refetchInterval)??!1}function Ot(e){C(Ct,this,jt).call(this),T(xt,this,e),!(Me.isServer()||fe(this.options.enabled,D(M,this))===!1||!ue(D(xt,this))||D(xt,this)===0)&&T(bt,this,k.setInterval(()=>{(this.options.refetchIntervalInBackground||re.isFocused())&&C(Ct,this,Tt).call(this)},D(xt,this)))}function kt(){C(Ct,this,Et).call(this),C(Ct,this,Ot).call(this,C(Ct,this,Dt).call(this))}function At(){D(yt,this)&&(k.clearTimeout(D(yt,this)),T(yt,this,void 0))}function jt(){D(bt,this)&&(k.clearInterval(D(bt,this)),T(bt,this,void 0))}function Mt(){let e=D(lt,this).getQueryCache().build(D(lt,this),this.options);if(e===D(M,this))return;let t=D(M,this);T(M,this,e),T(ut,this,e.state),this.hasListeners()&&(t?.removeObserver(this),e.addObserver(this))}function Nt(e){Ie.batch(()=>{e.listeners&&this.listeners.forEach(e=>{e(D(dt,this))}),D(lt,this).getQueryCache().notify({query:D(M,this),type:`observerResultsUpdated`})})}function Pt(e,t){return fe(t.enabled,e)!==!1&&e.state.data===void 0&&!(e.state.status===`error`&&t.retryOnMount===!1)}function Ft(e,t){return Pt(e,t)||e.state.data!==void 0&&It(e,t,t.refetchOnMount)}function It(e,t,n){if(fe(t.enabled,e)!==!1&&j(t.staleTime,e)!==`static`){let r=typeof n==`function`?n(e):n;return r===`always`||r!==!1&&Rt(e,t)}return!1}function Lt(e,t,n,r){return(e!==t||fe(r.enabled,e)===!1)&&(!n.suspense||e.state.status!==`error`)&&Rt(e,n)}function Rt(e,t){return fe(t.enabled,e)!==!1&&e.isStaleByTime(j(t.staleTime,e))}function zt(e,t){return!be(e.getCurrentResult(),t)}function Bt(e){return{onFetch:(t,n)=>{let r=t.options,i=t.fetchOptions?.meta?.fetchMore?.direction,a=t.state.data?.pages||[],o=t.state.data?.pageParams||[],s={pages:[],pageParams:[]},c=0,l=async()=>{let n=!1,l=e=>{je(e,()=>t.signal,()=>n=!0)},u=ke(t.options,t.fetchOptions),d=async(e,r,i)=>{if(n)return Promise.reject();if(r==null&&e.pages.length)return Promise.resolve(e);let a=await u((()=>{let e={client:t.client,queryKey:t.queryKey,pageParam:r,direction:i?`backward`:`forward`,meta:t.options.meta};return l(e),e})()),{maxPages:o}=t.options,s=i?De:Ee;return{pages:s(e.pages,a,o),pageParams:s(e.pageParams,r,o)}};if(i&&a.length){let e=i===`backward`,t=e?Ht:Vt,n={pages:a,pageParams:o};s=await d(n,t(r,n),e)}else{let t=e??a.length;do{let e=c===0?o[0]??r.initialPageParam:Vt(r,s);if(c>0&&e==null)break;s=await d(s,e),c++}while(c<t)}return s};t.options.persister?t.fetchFn=()=>t.options.persister?.(l,{client:t.client,queryKey:t.queryKey,meta:t.options.meta,signal:t.signal},n):t.fetchFn=l}}}function Vt(e,{pages:t,pageParams:n}){let r=t.length-1;return t.length>0?e.getNextPageParam(t[r],t,n[r],n):void 0}function Ht(e,{pages:t,pageParams:n}){return t.length>0?e.getPreviousPageParam?.(t[0],t,n[0],n):void 0}Je(),S(),E(),O(),w();var Ut,Wt,Gt,Kt,qt,Jt=(Ut=new WeakMap,Wt=new WeakMap,Gt=new WeakMap,Kt=new WeakMap,qt=new WeakSet,class extends Ke{constructor(e){super(),qe(this,qt),x(this,Ut,void 0),x(this,Wt,void 0),x(this,Gt,void 0),x(this,Kt,void 0),T(Ut,this,e.client),this.mutationId=e.mutationId,T(Gt,this,e.mutationCache),T(Wt,this,[]),this.state=e.state||Xt(),this.setOptions(e.options),this.scheduleGc()}setOptions(e){this.options=e,this.updateGcTime(this.options.gcTime)}get meta(){return this.options.meta}addObserver(e){D(Wt,this).includes(e)||(D(Wt,this).push(e),this.clearGcTimeout(),D(Gt,this).notify({type:`observerAdded`,mutation:this,observer:e}))}removeObserver(e){T(Wt,this,D(Wt,this).filter(t=>t!==e)),this.scheduleGc(),D(Gt,this).notify({type:`observerRemoved`,mutation:this,observer:e})}optionalRemove(){D(Wt,this).length||(this.state.status===`pending`?this.scheduleGc():D(Gt,this).remove(this))}continue(){return D(Kt,this)?.continue()??this.execute(this.state.variables)}async execute(e){let t=()=>{C(qt,this,Yt).call(this,{type:`continue`})},n={client:D(Ut,this),meta:this.options.meta,mutationKey:this.options.mutationKey};T(Kt,this,We({fn:()=>this.options.mutationFn?this.options.mutationFn(e,n):Promise.reject(Error(`No mutationFn found`)),onFail:(e,t)=>{C(qt,this,Yt).call(this,{type:`failed`,failureCount:e,error:t})},onPause:()=>{C(qt,this,Yt).call(this,{type:`pause`})},onContinue:t,retry:this.options.retry??0,retryDelay:this.options.retryDelay,networkMode:this.options.networkMode,canRun:()=>D(Gt,this).canRun(this)}));let r=this.state.status===`pending`,i=!D(Kt,this).canStart();try{if(r)t();else{C(qt,this,Yt).call(this,{type:`pending`,variables:e,isPaused:i}),D(Gt,this).config.onMutate&&await D(Gt,this).config.onMutate(e,this,n);let t=await this.options.onMutate?.(e,n);t!==this.state.context&&C(qt,this,Yt).call(this,{type:`pending`,context:t,variables:e,isPaused:i})}let a=await D(Kt,this).start();return await D(Gt,this).config.onSuccess?.(a,e,this.state.context,this,n),await this.options.onSuccess?.(a,e,this.state.context,n),await D(Gt,this).config.onSettled?.(a,null,this.state.variables,this.state.context,this,n),await this.options.onSettled?.(a,null,e,this.state.context,n),C(qt,this,Yt).call(this,{type:`success`,data:a}),a}catch(t){try{await D(Gt,this).config.onError?.(t,e,this.state.context,this,n)}catch(e){Promise.reject(e)}try{await this.options.onError?.(t,e,this.state.context,n)}catch(e){Promise.reject(e)}try{await D(Gt,this).config.onSettled?.(void 0,t,this.state.variables,this.state.context,this,n)}catch(e){Promise.reject(e)}try{await this.options.onSettled?.(void 0,t,e,this.state.context,n)}catch(e){Promise.reject(e)}throw C(qt,this,Yt).call(this,{type:`error`,error:t}),t}finally{D(Gt,this).runNext(this)}}});function Yt(e){let t=t=>{switch(e.type){case`failed`:return{...t,failureCount:e.failureCount,failureReason:e.error};case`pause`:return{...t,isPaused:!0};case`continue`:return{...t,isPaused:!1};case`pending`:return{...t,context:e.context,data:void 0,failureCount:0,failureReason:null,error:null,isPaused:e.isPaused,status:`pending`,variables:e.variables,submittedAt:Date.now()};case`success`:return{...t,data:e.data,failureCount:0,failureReason:null,error:null,status:`success`,isPaused:!1};case`error`:return{...t,data:void 0,error:e.error,failureCount:t.failureCount+1,failureReason:e.error,isPaused:!1,status:`error`}}};this.state=t(this.state),Ie.batch(()=>{D(Wt,this).forEach(t=>{t.onMutationUpdate(e)}),D(Gt,this).notify({mutation:this,type:`updated`,action:e})})}function Xt(){return{context:void 0,data:void 0,error:null,failureCount:0,failureReason:null,isPaused:!1,status:`idle`,variables:void 0,submittedAt:0}}S(),E(),O();var Zt,Qt,$t,en=(Zt=new WeakMap,Qt=new WeakMap,$t=new WeakMap,class extends v{constructor(e={}){super(),x(this,Zt,void 0),x(this,Qt,void 0),x(this,$t,void 0),this.config=e,T(Zt,this,new Set),T(Qt,this,new Map),T($t,this,0)}build(e,t,n){var r;let i=new Jt({client:e,mutationCache:this,mutationId:T($t,this,(r=D($t,this),++r)),options:e.defaultMutationOptions(t),state:n});return this.add(i),i}add(e){D(Zt,this).add(e);let t=tn(e);if(typeof t==`string`){let n=D(Qt,this).get(t);n?n.push(e):D(Qt,this).set(t,[e])}this.notify({type:`added`,mutation:e})}remove(e){if(D(Zt,this).delete(e)){let t=tn(e);if(typeof t==`string`){let n=D(Qt,this).get(t);if(n)if(n.length>1){let t=n.indexOf(e);t!==-1&&n.splice(t,1)}else n[0]===e&&D(Qt,this).delete(t)}}this.notify({type:`removed`,mutation:e})}canRun(e){let t=tn(e);if(typeof t==`string`){let n=D(Qt,this).get(t)?.find(e=>e.state.status===`pending`);return!n||n===e}else return!0}runNext(e){let t=tn(e);return typeof 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yc={dehydrated:null,treeContext:null,retryLane:0,hydrationErrors:null};function bc(e){return{baseLanes:e,cachePool:Ca()}}function xc(e,t,n){return e=e===null?0:e.childLanes&~n,t&&(e|=Yl),e}function Sc(e,t,n){var r=t.pendingProps,a=!1,o=(t.flags&128)!=0,s;if((s=o)||(s=e!==null&&e.memoizedState===null?!1:(fo.current&2)!=0),s&&(a=!0,t.flags&=-129),s=(t.flags&32)!=0,t.flags&=-33,e===null){if(I){if(a?oo(t):lo(t),(e=F)?(e=af(e,zi),e=e!==null&&e.data!==`&`?e:null,e!==null&&(t.memoizedState={dehydrated:e,treeContext:ki===null?null:{id:Ai,overflow:ji},retryLane:536870912,hydrationErrors:null},n=yi(e),n.return=t,t.child=n,Li=t,F=null)):e=null,e===null)throw Vi(t);return sf(e)?t.lanes=32:t.lanes=536870912,null}var c=r.children;return r=r.fallback,a?(lo(t),a=t.mode,c=wc({mode:`hidden`,children:c},a),r=_i(r,a,n,null),c.return=t,r.return=t,c.sibling=r,t.child=c,r=t.child,r.memoizedState=bc(n),r.childLanes=xc(e,s,n),t.memoizedState=yc,lc(null,r)):(oo(t),Cc(t,c))}var l=e.memoizedState;if(l!==null&&(c=l.dehydrated,c!==null)){if(o)t.flags&256?(oo(t),t.flags&=-257,t=Tc(e,t,n)):t.memoizedState===null?(lo(t),c=r.fallback,a=t.mode,r=wc({mode:`visible`,children:r.children},a),c=_i(c,a,n,null),c.flags|=2,r.return=t,c.return=t,r.sibling=c,t.child=r,za(t,e.child,null,n),r=t.child,r.memoizedState=bc(n),r.childLanes=xc(e,s,n),t.memoizedState=yc,t=lc(null,r)):(lo(t),t.child=e.child,t.flags|=128,t=null);else if(oo(t),sf(c)){if(s=c.nextSibling&&c.nextSibling.dataset,s)var u=s.dgst;s=u,r=Error(i(419)),r.stack=``,r.digest=s,qi({value:r,source:null,stack:null}),t=Tc(e,t,n)}else if(rc||ta(e,t,n,!1),s=(n&e.childLanes)!==0,rc||s){if(s=K,s!==null&&(r=st(s,n),r!==0&&r!==l.retryLane))throw l.retryLane=r,si(e,r),gu(s,e,r),nc;of(c)||Ou(),t=Tc(e,t,n)}else of(c)?(t.flags|=192,t.child=e.child,t=null):(e=l.treeContext,F=lf(c.nextSibling),Li=t,I=!0,Ri=null,zi=!1,e!==null&&Ii(t,e),t=Cc(t,r.children),t.flags|=4096);return t}return 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i=this.hasListeners(),a=!i&&Ft(e,t),o=i&&Lt(e,n,t,r);(a||o)&&(l={...l,...ot(c.data,e.options)}),t._optimisticResults===`isRestoring`&&(l.fetchStatus=`idle`)}let{error:f,errorUpdatedAt:p,status:m}=l;d=l.data;let h=!1;if(t.placeholderData!==void 0&&d===void 0&&m===`pending`){let e;i?.isPlaceholderData&&t.placeholderData===o?.placeholderData?(e=i.data,h=!0):e=typeof t.placeholderData==`function`?t.placeholderData(D(vt,this)?.state.data,D(vt,this)):t.placeholderData,e!==void 0&&(m=`success`,d=Te(i?.data,e,t),u=!0)}if(t.select&&d!==void 0&&!h)if(i&&d===a?.data&&t.select===D(gt,this))d=D(_t,this);else try{T(gt,this,t.select),d=t.select(d),d=Te(i?.data,d,t),T(_t,this,d),T(ht,this,null)}catch(e){T(ht,this,e)}D(ht,this)&&(f=D(ht,this),d=D(_t,this),p=Date.now(),m=`error`);let g=l.fetchStatus===`fetching`,_=m===`pending`,v=m===`error`,y=_&&g,b=d!==void 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   </head>
diff --git a/crates/proxy/admin-ui/src/api/types.ts b/crates/proxy/admin-ui/src/api/types.ts
index 60a44c5..71f0bdf 100644
--- a/crates/proxy/admin-ui/src/api/types.ts
+++ b/crates/proxy/admin-ui/src/api/types.ts
@@ -1,758 +1,17 @@
 // Mirrors the JSON shapes returned by /admin/api/* endpoints.
 // Keep in sync with Rust structs in crates/proxy/src/admin/state.rs and routes/.
 
-/** Represents the status and configuration details of the proxy server. */
-export interface ProxyStatus {
-  /** True if the proxy backend has been configured. */
-  configured: boolean
-  /** The port number the proxy listens on for client requests. */
-  proxy_port: number
-  /** Whether the proxy is currently running and accepting connections. */
-  proxy_running: boolean
-}
-
-/** Represents real-time usage and performance metrics for the proxy. */
-export interface Metrics {
-  /** The total number of requests received by the proxy. */
-  total_requests: number
-  /** The number of successful requests. */
-  successful_requests: number
-  /** The number of failed requests. */
-  failed_requests: number
-  /** The current request rate per minute. */
-  requests_per_minute: number
-  /** The p50 latency in milliseconds, if available. */
-  p50_latency_ms: number | null
-  /** The p95 latency in milliseconds, if available. */
-  p95_latency_ms: number | null
-  /** The percentage rate of request failures. */
-  error_rate: number
-  /** The number of streaming connection requests started. */
-  streams_started: number
-  /** The number of streaming connections completed. */
-  streams_completed: number
-  /** The number of streaming connections that failed. */
-  streams_failed: number
-  /** The number of streaming connections disconnected by the client. */
-  streams_client_disconnected: number
-  /** Requests where pxpipe text-to-image compression fired. */
-  pxpipe_compressed_total: number
-  /** Total PNG image blocks pxpipe emitted. */
-  pxpipe_images_total: number
-  /** Total source chars pxpipe replaced with images. */
-  pxpipe_imaged_chars_total: number
-  /** Requests where RTK tool-output compression fired. */
-  rtk_compressed_total: number
-  /** Total tool-result payloads RTK rewrote. */
-  rtk_blocks_total: number
-  /** Total source chars RTK removed from tool output. */
-  rtk_saved_chars_total: number
-}
-
-/** A single request transaction log entry. */
-export interface RequestLogEntry {
-  /** Unique transaction ID. */
-  request_id: string
-  /** ISO 8601 timestamp when the request was made. */
-  timestamp: string
-  /** The backend model provider targeted. */
-  backend: string
-  /** The model identifier requested by the client. */
-  model_requested: string | null
-  /** The actual model identifier routed to on the backend. */
-  model_mapped: string | null
-  /** HTTP response status code. */
-  status_code: number
-  /** Request duration in milliseconds. */
-  latency_ms: number
-  /** Number of input tokens processed. */
-  input_tokens: number | null
-  /** Number of output tokens generated. */
-  output_tokens: number | null
-  /** Whether the request was streamed. */
-  is_streaming: boolean
-  /** The raw error message returned by the backend, if any. */
-  error_message: string | null
-  /** Normalized error class/category. */
-  error_kind: string | null
-  /** The virtual key ID used for authorization, if any. */
-  key_id: number | null
-  /** Calculated transaction cost in USD. */
-  cost_usd: number | null
-}
-
-/** Paginated list response for request log queries. */
-export interface RequestsResponse {
-  /** The page of request log entries. */
-  requests: RequestLogEntry[]
-  /** Maximum number of items returned. */
-  limit: number
-  /** Pagination offset. */
-  offset: number
-  /** True if more records are available. */
-  has_more: boolean
-}
-
-/** Represents a virtual API key configuration and its associated limits. */
-export interface VirtualKey {
-  /** Unique database ID. */
-  id: number
-  /** The prefix of the key shown to users. */
-  key_prefix: string
-  /** Optional descriptive note. */
-  description: string | null
-  /** ISO 8601 creation timestamp. */
-  created_at: string
-  /** ISO 8601 expiration timestamp, if set. */
-  expires_at: string | null
-  /** ISO 8601 revocation timestamp, if revoked. */
-  revoked_at: string | null
-  /** Spend limit in USD. */
-  spend_limit: number | null
-  /** Monthly budget limit in USD. */
-  max_budget_usd: number | null
-  /** Duration of the budget period (e.g. 'monthly'). */
-  budget_duration: string | null
-  /** Requests-per-minute limit. */
-  rpm_limit: number | null
-  /** Tokens-per-minute limit. */
-  tpm_limit: number | null
-  /** Total spend in USD across the key lifetime. */
-  total_spend: number
-  /** Total count of requests made with this key. */
-  total_requests: number
-  /** Total count of tokens processed. */
-  total_tokens: number
-  /** ISO 8601 reset timestamp for the current budget period. */
-  period_reset_at: string | null
-  /** List of model names this key is restricted to, if any. */
-  allowed_models: string[] | null
-  /** List of route names this key is restricted to, if any. */
-  allowed_routes: string[] | null
-  /** Active status of the key. */
-  status: 'active' | 'revoked' | 'expired' | 'override'
-  /** Spend in USD during the current budget period. */
-  period_spend_usd: number
-}
-
-/** Spent token and requests details for a virtual key. */
-export interface KeySpend {
-  /** Unique key database ID. */
-  id: number
-  /** Total spend in USD. */
-  total_spend: number
-  /** Total request count. */
-  total_requests: number
-  /** Total token count. */
-  total_tokens: number
-}
-
-/** Represents a backend endpoint model and its metrics. */
-export interface Backend {
-  /** Name of the backend. */
-  name: string
-  /** Model mapped for heavy workloads. */
-  big_model: string
-  /** Model mapped for light workloads. */
-  small_model: string
-  /** Request outcome counters. */
-  metrics: {
-    requests_total: number
-    requests_success: number
-    requests_error: number
-  }
-}
-
-/** Represents a single configuration entry key-value pair. */
-export interface ConfigEntry {
-  /** Configuration key. */
-  key: string
-  /** Configuration value. */
-  value: string
-  /** Timestamp when updated. */
-  updated_at: string
-}
-
-/** Represents the full system configuration and environment variables. */
-export interface ConfigResponse {
-  /** List of config database overrides. */
-  entries: ConfigEntry[]
-  /** Server environment variables map. */
-  env: Record<string, string>
-  /** System logging level. */
-  log_level: string
-  /** Whether requests and responses are logged. */
-  log_bodies: boolean
-  /** Whether credentials are redacted from logs. */
-  redact_secrets: boolean
-  /** Whether to attempt to repair broken thinking blocks in Anthropic streams. */
-  anthropic_thinking_repair: boolean
-  /** True if pxpipe image compression is enabled. */
-  pxpipe_compress: boolean
-  /** CSV of model bases in pxpipe compression scope. */
-  pxpipe_models: string
-  /** Vision-capable Claude models offered as per-model scope toggles. */
-  pxpipe_available_models: string[]
-  /** Whether RTK tool-output compression is active. */
-  rtk_compress: boolean
-  /** CSV of model bases in RTK compression scope (empty = all models). */
-  rtk_models: string
-  /** Whether to pass client authorization headers to backend. */
-  forward_client_auth: boolean
-  /** Tool guardrail mode configured. */
-  tool_guardrail_mode: string
-  /** Prompt-compression optimizer mode: 'off' | 'shadow' | 'live'. */
-  optimizer_mode: string
-  /** Mappings of backend names to their configured big/small models. */
-  backends: Record<string, { big_model: string; small_model: string }>
-  /** List of keys whose overrides are active. */
-  overridden_keys: string[]
-}
-
-/** Status of the optional LLMLingua-2 ONNX model artifact (optimizer scorer tier). */
-export interface OptimizerModelStatus {
-  /** Proxy built with the `optimizer-onnx` feature. When false the tier is inert. */
-  compiled_in: boolean
-  /** Verified model artifact is present on disk. */
-  present: boolean
-  /** A download+verify is currently in flight. */
-  downloading: boolean
-  /** Last download error, if any. */
-  error: string | null
-  /** Pinned sha256 the artifact is verified against. */
-  sha256: string
-  /** Expected download size in bytes. */
-  size_bytes: number
-}
-
-/** A time-series data point for observability charts. */
-export interface ObservabilityPoint {
-  /** UNIX timestamp representing the bucket start time. */
-  bucket_start: number
-  /** Total requests in this bucket. */
-  requests: number
-  /** Total errors in this bucket. */
-  errors: number
-  /** Total input tokens processed in this bucket. */
-  input_tokens: number
-  /** Total output tokens generated in this bucket. */
-  output_tokens: number
-  /** Calculated cost in USD in this bucket. */
-  cost_usd: number
-}
-
-/** Summary of error occurrences on a backend. */
-export interface ObservabilityFailure {
-  /** Class or classification of error. */
-  error_kind: string
-  /** Occurrence count. */
-  count: number
-  /** Last occurrence timestamp. */
-  last_seen: string
-  /** Last error message received. */
-  last_message: string
-}
-
-/** Represents a single trace event in the observability timeline. */
-export interface ObservabilityTimeline {
-  /** Transaction request ID. */
-  request_id: string
-  /** ISO 8601 request timestamp. */
-  timestamp: string
-  /** Backend provider routed to. */
-  backend: string
-  /** Model mapped to. */
-  model: string
-  /** Latency in milliseconds. */
-  latency_ms: number
-  /** Request outcome status. */
-  status: string
-}
-
-/** Observability stats summary response. */
-export interface ObservabilityResponse {
-  /** The time window in hours for metrics. */
-  window_hours: number
-  /** The name of the backend. */
-  backend: string
-  /** Total requests within the window. */
-  total_requests: number
-  /** Total errors within the window. */
-  total_errors: number
-  /** Total input tokens processed. */
-  total_input_tokens: number
-  /** Total output tokens generated. */
-  total_output_tokens: number
-  /** Total cost in USD. */
-  total_cost_usd: number
-  /** Historical metrics series points. */
-  series: ObservabilityPoint[]
-  /** Error breakdown summary. */
-  failures: ObservabilityFailure[]
-  /** Timeline events. */
-  timeline: ObservabilityTimeline[]
-}
-
-/** Represents a single model configuration entry. */
-export interface ModelEntry {
-  /** The unique name/identifier of the model. */
-  model_name: string
-  /** The number of active deployments for this model. */
-  deployments: number
-}
-
-/** Response shape for models list requests. */
-export interface ModelsResponse {
-  /** List of model configurations. */
-  models: ModelEntry[]
-  /** Router strategy (e.g. priority, failover). */
-  strategy: string | null
-  /** Optional descriptive note. */
-  note?: string
-}
-
-/** Represents a model discovered from a backend API. */
-export interface DiscoveredModel {
-  /** The model identifier. */
-  id: string
-  /** Optional human-readable name. */
-  name: string | null
-}
-
-/** Response containing discovered models. */
-export interface DiscoverResponse {
-  /** List of discovered models. */
-  models: DiscoveredModel[]
-  /** Source or method used for discovery. */
-  source: string
-  /** True if authorization was used. */
-  auth_used: boolean
-}
-
-/** A single audit log entry tracking administrative actions. */
-export interface AuditEntry {
-  /** Unique database ID. */
-  id: number
-  /** ISO 8601 action timestamp. */
-  timestamp: string
-  /** The action performed. */
-  action: string
-  /** Type of target resource affected. */
-  target_type: string
-  /** ID of target resource affected. */
-  target_id: string | null
-  /** Detailed changes/payload. */
-  detail: string | null
-  /** Source IP of the requester. */
-  source_ip: string | null
-}
-
-/** Paginated list response for audit log queries. */
-export interface AuditResponse {
-  /** List of audit log entries. */
-  entries: AuditEntry[]
-  /** Maximum number of items returned. */
-  limit: number
-  /** Pagination offset. */
-  offset: number
-  /** True if more records are available. */
-  has_more: boolean
-}
-
-// --- Traffic tab (new) ---
-
-/** Real-time metrics for a specific API route. */
-export interface RouteMetrics {
-  /** The request path/route. */
-  path: string
-  /** Number of requests per minute. */
-  requests_per_min: number
-  /** Percentage rate of failures. */
-  error_rate: number
-  /** Average latency in milliseconds. */
-  avg_latency_ms: number
-  /** The p95 latency in milliseconds. */
-  p95_latency_ms: number
-  /** Total number of requests. */
-  total_requests: number
-}
-
-/** Time-series requests count point for a route. */
-export interface TrafficSeriesPoint {
-  /** UNIX timestamp representing the bucket start time. */
-  bucket_start: number
-  /** API path. */
-  path: string
-  /** Request count. */
-  requests: number
-}
-
-/** Response containing traffic analytics. */
-export interface TrafficResponse {
-  /** Time window in hours. */
-  window_hours: number
-  /** Metrics per route. */
-  routes: RouteMetrics[]
-  /** Time-series data points. */
-  series: TrafficSeriesPoint[]
-}
-
-// --- Uptime tab (new) ---
-
-/** A single day's uptime status. */
-export interface HistoryDay {
-  /** Date in YYYY-MM-DD format. */
-  date: string
-  /** Availability status. */
-  status: 'up' | 'down' | 'degraded' | 'no-data'
-}
-
-/** Uptime info for the proxy itself. */
-export interface ProxyUptimeInfo {
-  /** UNIX timestamp when the proxy started. */
-  started_at: number
-  /** Uptime percentage over the last 30 days. */
-  uptime_pct_30d: number
-  /** Daily uptime history. */
-  history: HistoryDay[]
-}
-
-/** Uptime info for a backend endpoint. */
-export interface BackendUptimeInfo {
-  /** Name of the backend. */
-  name: string
-  /** Current connection status. */
-  status: 'up' | 'down' | 'unknown'
-  /** UNIX timestamp of the last health check. */
-  last_checked_at: number | null
-  /** Last checked latency in milliseconds. */
-  last_latency_ms: number | null
-  /** 30-day uptime percentage. */
-  uptime_pct_30d: number
-  /** Daily uptime history. */
-  history: HistoryDay[]
-}
-
-/** Full uptime summary response. */
-export interface UptimeResponse {
-  /** Proxy server uptime details. */
-  proxy: ProxyUptimeInfo
-  /** Backend endpoints uptime details. */
-  backends: BackendUptimeInfo[]
-}
-
-// --- Env file import / export ---
-
-/** Warning message generated during env import. */
-export interface EnvWarning {
-  /** Affected line number. */
-  line: number | null
-  /** Affected environment variable key. */
-  key: string | null
-  /** Warning message. */
-  message: string
-}
-
-/** Response detailing the result of importing an env file. */
-export interface EnvImportResponse {
-  /** Count of imported variables applied. */
-  applied: number
-  /** Non-fatal warnings generated. */
-  warnings: EnvWarning[]
-}
-
-/** Error payload for env file imports. */
-export interface EnvImportError {
-  /** Hard/blocking validation errors. */
-  hard_errors: string[]
-  /** Non-fatal warnings. */
-  warnings: EnvWarning[]
-}
-
-// --- Provider catalog ---
-
-/** Details of a provider available in the LiteLLM catalog. */
-export interface CatalogProvider {
-  /** Unique provider identifier. */
-  id: string
-  /** User-facing display name. */
-  display_name: string
-  /** Keep for backwards compatibility. */
-  name?: string
-  /** Communication protocol. */
-  protocol: string
-  /** Auth mechanism. */
-  auth: string
-  /** Proxy integration status. */
-  status: 'implemented' | 'wired' | 'stub'
-  /** Default base URL. */
-  default_base_url: string
-  /** Expected environment variables for API keys. */
-  env_vars: string[]
-  /** LiteLLM prefix string. */
-  litellm_prefix: string
-  /** Supported capabilities. */
-  capabilities: {
-    chat_completions: boolean
-    streaming: boolean
-    tool_use: boolean
-    embeddings: boolean
-    vision: boolean
-    batch: boolean
-  }
-  /** Total count of models. */
-  model_count: number
-  /** Count of models currently cached. */
-  cached_model_count: number
-  /** UNIX timestamp of the last cache refresh. */
-  last_refreshed: number | null
-}
-
-// --- Managed backends ---
-
-/** Represents a backend credentials deployment managed by the admin. */
-export interface ManagedBackend {
-  /** Unique database ID. */
-  id: string
-  /** Unique backend name. */
-  name: string
-  /** Provider ID. */
-  provider_id: string
-  /** True if the API key is configured. */
-  api_key_set: boolean
-  /** True if AWS credentials are set (for AWS Bedrock, etc.). */
-  aws_creds_set: boolean
-  /** Base URL of the API endpoint. */
-  api_base: string | null
-  /** Optional deployment name (e.g. Azure deployment name). */
-  deployment: string | null
-  /** Optional API version. */
-  api_version: string | null
-  /** Optional cloud project ID. */
-  project: string | null
-  /** Optional cloud region (e.g. AWS/Azure region). */
-  region: string | null
-  /** Rate limit: requests per minute override. */
-  rpm: number | null
-  /** Rate limit: tokens per minute override. */
-  tpm: number | null
-  /** True if this backend is enabled. */
-  enabled: boolean
-  /** ISO 8601 creation timestamp. */
-  created_at: string
-  /** ISO 8601 last update timestamp. */
-  updated_at: string
-}
-
-/** Response containing managed backends. */
-export interface ManagedBackendsResponse {
-  /** List of managed backends. */
-  backends: ManagedBackend[]
-}
-
-/** Request payload for creating a new managed backend. */
-export interface CreateManagedBackendRequest {
-  /** Unique name for the backend. */
-  name: string
-  /** Catalog provider ID. */
-  provider_id: string
-  /** API key credential string. */
-  api_key?: string
-  /** API base URL. */
-  api_base?: string
-  /** API deployment name. */
-  deployment?: string
-  /** API version. */
-  api_version?: string
-  /** Cloud project ID. */
-  project?: string
-  /** Cloud region. */
-  region?: string
-  /** AWS access key ID. */
-  aws_access_key_id?: string
-  /** AWS secret access key. */
-  aws_secret_access_key?: string
-  /** AWS session token. */
-  aws_session_token?: string
-  /** Requests per minute limit. */
-  rpm?: number
-  /** Tokens per minute limit. */
-  tpm?: number
-  /** Active status toggle. */
-  enabled?: boolean
-}
-
-/** Request payload for updating an existing managed backend. */
-export type UpdateManagedBackendRequest = Partial<Omit<CreateManagedBackendRequest, 'name'>>
-
-// --- Routes ---
-
-/** Represents a configured API routing definition. */
-export interface Route {
-  /** Unique route database ID. */
-  id: string
-  /** Route name. */
-  name: string
-  /** Optional description. */
-  description: string | null
-  /** Load balancing strategy. */
-  strategy: string
-  /** Requests per minute limit. */
-  rpm: number | null
-  /** Tokens per minute limit. */
-  tpm: number | null
-  /** Cost budget in USD. */
-  budget_usd: number | null
-  /** Active status toggle. */
-  enabled: boolean
-  /** Tool guardrail mode override. */
-  guardrail_mode: string | null
-  /** pxpipe image compression toggle override. */
-  pxpipe_compress: boolean | null
-  /** pxpipe models CSV override. */
-  pxpipe_models: string | null
-  /** Secret redaction toggle override. */
-  redact_secrets: boolean | null
-  /** Position order in the router. */
-  position: number
-  /** Count of providers assigned to this route. */
-  provider_count: number
-  /** ISO 8601 creation timestamp. */
-  created_at: string
-  /** ISO 8601 last update timestamp. */
-  updated_at: string
-}
-
-/** Response containing routing configs. */
-export interface RoutesResponse {
-  /** List of routes. */
-  routes: Route[]
-}
-
-/** Request payload to create a new route. */
-export interface CreateRouteRequest {
-  /** Unique route name. */
-  name: string
-  /** Route description. */
-  description?: string
-  /** Load balancing strategy. */
-  strategy?: string
-  /** Requests per minute limit. */
-  rpm?: number
-  /** Tokens per minute limit. */
-  tpm?: number
-  /** Cost budget in USD. */
-  budget_usd?: number
-  /** Active status toggle. */
-  enabled?: boolean
-  /** Tool guardrail mode override. */
-  guardrail_mode?: string | null
-  /** pxpipe image compression toggle override. */
-  pxpipe_compress?: boolean | null
-  /** pxpipe models CSV override. */
-  pxpipe_models?: string | null
-  /** Secret redaction toggle override. */
-  redact_secrets?: boolean | null
-  /** Position order. */
-  position?: number
-}
-
-/** Request payload to update an existing route. */
-export type UpdateRouteRequest = Partial<CreateRouteRequest>
-
-/** Represents a provider mapped to a route. */
-export interface RouteProvider {
-  /** Unique assignment ID. */
-  id: string
-  /** Target route ID. */
-  route_id: string
-  /** Backend ID. */
-  backend_id: string
-  /** Name of the backend. */
-  backend_name: string
-  /** Catalog provider ID. */
-  provider_id: string
-  /** Supported models list. */
-  models: string[]
-  /** Evaluation priority. */
-  priority: number
-  /** Active status. */
-  enabled: boolean
-}
-
-/** Response containing route provider mappings. */
-export interface RouteProvidersResponse {
-  /** List of mappings. */
-  providers: RouteProvider[]
-}
-
-/** Request payload to add a provider assignment to a route. */
-export interface AddRouteProviderRequest {
-  /** Target backend ID. */
-  backend_id: string
-  /** Supported models list. */
-  models?: string[]
-  /** Priority position. */
-  priority?: number
-  /** Active status. */
-  enabled?: boolean
-}
-
-/** Request payload to update a provider assignment configuration. */
-export interface UpdateRouteProviderRequest {
-  /** Supported models list. */
-  models?: string[]
-  /** Priority position. */
-  priority?: number
-  /** Active status. */
-  enabled?: boolean
-}
-
-/** Request payload to reorder provider mappings. */
-export interface ReorderRouteProvidersRequest {
-  /** Ordered list of provider assignment IDs. */
-  provider_ids: string[]
-}
-
-// --- WebSocket events ---
-
-/** Types of events sent over the admin WebSocket channel. */
-export type WSEvent =
-  | { type: 'request_completed'; data: RequestLogEntry }
-  | { type: 'metrics_snapshot'; data: Metrics }
-  | { type: 'config_changed'; data: { key: string; value: string } }
-  | { type: 'backend_health_changed'; data: { backend: string; status: 'up' | 'down'; latency_ms: number | null } }
-
-/** Details of a model available in the LiteLLM catalog. */
-export interface CatalogModel {
-  /** Unique model identifier. */
-  id: string
-  /** Maximum context window size in tokens. */
-  context_window: number
-  /** Maximum output tokens. */
-  max_output_tokens: number
-  /** Availability status of the model. */
-  status: 'available' | 'deprecated' | 'stub'
-  /** Capabilities flags. */
-  capabilities: {
-    streaming: boolean
-    tool_use: boolean
-    vision: boolean
-    extended_thinking: boolean
-  }
-  /** Pricing per million tokens. */
-  pricing: {
-    input_per_million_tokens: number
-    output_per_million_tokens: number
-  } | null
-}
-
-/** Response containing model lists. */
-export interface CatalogModelsResponse {
-  /** Catalog provider ID. */
-  provider_id: string
-  /** True if this provider has models. */
-  has_models: boolean
-  /** List of models. */
-  models: CatalogModel[]
-}
+export * from './types/proxy'
+export * from './types/metrics'
+export * from './types/requests'
+export * from './types/keys'
+export * from './types/backends'
+export * from './types/config'
+export * from './types/optimizer'
+export * from './types/models'
+export * from './types/audit'
+export * from './types/uptime'
+export * from './types/env'
+export * from './types/catalog'
+export * from './types/routes'
+export * from './types/ws'
diff --git a/crates/proxy/admin-ui/src/api/types/audit.ts b/crates/proxy/admin-ui/src/api/types/audit.ts
new file mode 100644
index 0000000..6e8995e
--- /dev/null
+++ b/crates/proxy/admin-ui/src/api/types/audit.ts
@@ -0,0 +1,29 @@
+/** A single audit log entry tracking administrative actions. */
+export interface AuditEntry {
+  /** Unique database ID. */
+  id: number
+  /** ISO 8601 action timestamp. */
+  timestamp: string
+  /** The action performed. */
+  action: string
+  /** Type of target resource affected. */
+  target_type: string
+  /** ID of target resource affected. */
+  target_id: string | null
+  /** Detailed changes/payload. */
+  detail: string | null
+  /** Source IP of the requester. */
+  source_ip: string | null
+}
+
+/** Paginated list response for audit log queries. */
+export interface AuditResponse {
+  /** List of audit log entries. */
+  entries: AuditEntry[]
+  /** Maximum number of items returned. */
+  limit: number
+  /** Pagination offset. */
+  offset: number
+  /** True if more records are available. */
+  has_more: boolean
+}
diff --git a/crates/proxy/admin-ui/src/api/types/backends.ts b/crates/proxy/admin-ui/src/api/types/backends.ts
new file mode 100644
index 0000000..35204cc
--- /dev/null
+++ b/crates/proxy/admin-ui/src/api/types/backends.ts
@@ -0,0 +1,90 @@
+/** Represents a backend endpoint model and its metrics. */
+export interface Backend {
+  /** Name of the backend. */
+  name: string
+  /** Model mapped for heavy workloads. */
+  big_model: string
+  /** Model mapped for light workloads. */
+  small_model: string
+  /** Request outcome counters. */
+  metrics: {
+    requests_total: number
+    requests_success: number
+    requests_error: number
+  }
+}
+
+/** Represents a backend credentials deployment managed by the admin. */
+export interface ManagedBackend {
+  /** Unique database ID. */
+  id: string
+  /** Unique backend name. */
+  name: string
+  /** Provider ID. */
+  provider_id: string
+  /** True if the API key is configured. */
+  api_key_set: boolean
+  /** True if AWS credentials are set (for AWS Bedrock, etc.). */
+  aws_creds_set: boolean
+  /** Base URL of the API endpoint. */
+  api_base: string | null
+  /** Optional deployment name (e.g. Azure deployment name). */
+  deployment: string | null
+  /** Optional API version. */
+  api_version: string | null
+  /** Optional cloud project ID. */
+  project: string | null
+  /** Optional cloud region (e.g. AWS/Azure region). */
+  region: string | null
+  /** Rate limit: requests per minute override. */
+  rpm: number | null
+  /** Rate limit: tokens per minute override. */
+  tpm: number | null
+  /** True if this backend is enabled. */
+  enabled: boolean
+  /** ISO 8601 creation timestamp. */
+  created_at: string
+  /** ISO 8601 last update timestamp. */
+  updated_at: string
+}
+
+/** Response containing managed backends. */
+export interface ManagedBackendsResponse {
+  /** List of managed backends. */
+  backends: ManagedBackend[]
+}
+
+/** Request payload for creating a new managed backend. */
+export interface CreateManagedBackendRequest {
+  /** Unique name for the backend. */
+  name: string
+  /** Catalog provider ID. */
+  provider_id: string
+  /** API key credential string. */
+  api_key?: string
+  /** API base URL. */
+  api_base?: string
+  /** API deployment name. */
+  deployment?: string
+  /** API version. */
+  api_version?: string
+  /** Cloud project ID. */
+  project?: string
+  /** Cloud region. */
+  region?: string
+  /** AWS access key ID. */
+  aws_access_key_id?: string
+  /** AWS secret access key. */
+  aws_secret_access_key?: string
+  /** AWS session token. */
+  aws_session_token?: string
+  /** Requests per minute limit. */
+  rpm?: number
+  /** Tokens per minute limit. */
+  tpm?: number
+  /** Active status toggle. */
+  enabled?: boolean
+}
+
+/** Request payload for updating an existing managed backend. */
+export type UpdateManagedBackendRequest = Partial<Omit<CreateManagedBackendRequest, 'name'>>
diff --git a/crates/proxy/admin-ui/src/api/types/catalog.ts b/crates/proxy/admin-ui/src/api/types/catalog.ts
new file mode 100644
index 0000000..5007e1d
--- /dev/null
+++ b/crates/proxy/admin-ui/src/api/types/catalog.ts
@@ -0,0 +1,36 @@
+/** Details of a provider available in the LiteLLM catalog. */
+export interface CatalogProvider {
+  /** Unique provider identifier. */
+  id: string
+  /** User-facing display name. */
+  display_name: string
+  /** Keep for backwards compatibility. */
+  name?: string
+  /** Communication protocol. */
+  protocol: string
+  /** Auth mechanism. */
+  auth: string
+  /** Proxy integration status. */
+  status: 'implemented' | 'wired' | 'stub'
+  /** Default base URL. */
+  default_base_url: string
+  /** Expected environment variables for API keys. */
+  env_vars: string[]
+  /** LiteLLM prefix string. */
+  litellm_prefix: string
+  /** Supported capabilities. */
+  capabilities: {
+    chat_completions: boolean
+    streaming: boolean
+    tool_use: boolean
+    embeddings: boolean
+    vision: boolean
+    batch: boolean
+  }
+  /** Total count of models. */
+  model_count: number
+  /** Count of models currently cached. */
+  cached_model_count: number
+  /** UNIX timestamp of the last cache refresh. */
+  last_refreshed: number | null
+}
diff --git a/crates/proxy/admin-ui/src/api/types/config.ts b/crates/proxy/admin-ui/src/api/types/config.ts
new file mode 100644
index 0000000..0dfb5a7
--- /dev/null
+++ b/crates/proxy/admin-ui/src/api/types/config.ts
@@ -0,0 +1,45 @@
+/** Represents a single configuration entry key-value pair. */
+export interface ConfigEntry {
+  /** Configuration key. */
+  key: string
+  /** Configuration value. */
+  value: string
+  /** Timestamp when updated. */
+  updated_at: string
+}
+
+/** Represents the full system configuration and environment variables. */
+export interface ConfigResponse {
+  /** List of config database overrides. */
+  entries: ConfigEntry[]
+  /** Server environment variables map. */
+  env: Record<string, string>
+  /** System logging level. */
+  log_level: string
+  /** Whether requests and responses are logged. */
+  log_bodies: boolean
+  /** Whether credentials are redacted from logs. */
+  redact_secrets: boolean
+  /** Whether to attempt to repair broken thinking blocks in Anthropic streams. */
+  anthropic_thinking_repair: boolean
+  /** True if pxpipe image compression is enabled. */
+  pxpipe_compress: boolean
+  /** CSV of model bases in pxpipe compression scope. */
+  pxpipe_models: string
+  /** Vision-capable Claude models offered as per-model scope toggles. */
+  pxpipe_available_models: string[]
+  /** Whether RTK tool-output compression is active. */
+  rtk_compress: boolean
+  /** CSV of model bases in RTK compression scope (empty = all models). */
+  rtk_models: string
+  /** Whether to pass client authorization headers to backend. */
+  forward_client_auth: boolean
+  /** Tool guardrail mode configured. */
+  tool_guardrail_mode: string
+  /** Prompt-compression optimizer mode: 'off' | 'shadow' | 'live'. */
+  optimizer_mode: string
+  /** Mappings of backend names to their configured big/small models. */
+  backends: Record<string, { big_model: string; small_model: string }>
+  /** List of keys whose overrides are active. */
+  overridden_keys: string[]
+}
diff --git a/crates/proxy/admin-ui/src/api/types/env.ts b/crates/proxy/admin-ui/src/api/types/env.ts
new file mode 100644
index 0000000..8f201c1
--- /dev/null
+++ b/crates/proxy/admin-ui/src/api/types/env.ts
@@ -0,0 +1,25 @@
+/** Warning message generated during env import. */
+export interface EnvWarning {
+  /** Affected line number. */
+  line: number | null
+  /** Affected environment variable key. */
+  key: string | null
+  /** Warning message. */
+  message: string
+}
+
+/** Response detailing the result of importing an env file. */
+export interface EnvImportResponse {
+  /** Count of imported variables applied. */
+  applied: number
+  /** Non-fatal warnings generated. */
+  warnings: EnvWarning[]
+}
+
+/** Error payload for env file imports. */
+export interface EnvImportError {
+  /** Hard/blocking validation errors. */
+  hard_errors: string[]
+  /** Non-fatal warnings. */
+  warnings: EnvWarning[]
+}
diff --git a/crates/proxy/admin-ui/src/api/types/keys.ts b/crates/proxy/admin-ui/src/api/types/keys.ts
new file mode 100644
index 0000000..a1d6ed7
--- /dev/null
+++ b/crates/proxy/admin-ui/src/api/types/keys.ts
@@ -0,0 +1,53 @@
+/** Represents a virtual API key configuration and its associated limits. */
+export interface VirtualKey {
+  /** Unique database ID. */
+  id: number
+  /** The prefix of the key shown to users. */
+  key_prefix: string
+  /** Optional descriptive note. */
+  description: string | null
+  /** ISO 8601 creation timestamp. */
+  created_at: string
+  /** ISO 8601 expiration timestamp, if set. */
+  expires_at: string | null
+  /** ISO 8601 revocation timestamp, if revoked. */
+  revoked_at: string | null
+  /** Spend limit in USD. */
+  spend_limit: number | null
+  /** Monthly budget limit in USD. */
+  max_budget_usd: number | null
+  /** Duration of the budget period (e.g. 'monthly'). */
+  budget_duration: string | null
+  /** Requests-per-minute limit. */
+  rpm_limit: number | null
+  /** Tokens-per-minute limit. */
+  tpm_limit: number | null
+  /** Total spend in USD across the key lifetime. */
+  total_spend: number
+  /** Total count of requests made with this key. */
+  total_requests: number
+  /** Total count of tokens processed. */
+  total_tokens: number
+  /** ISO 8601 reset timestamp for the current budget period. */
+  period_reset_at: string | null
+  /** List of model names this key is restricted to, if any. */
+  allowed_models: string[] | null
+  /** List of route names this key is restricted to, if any. */
+  allowed_routes: string[] | null
+  /** Active status of the key. */
+  status: 'active' | 'revoked' | 'expired' | 'override'
+  /** Spend in USD during the current budget period. */
+  period_spend_usd: number
+}
+
+/** Spent token and requests details for a virtual key. */
+export interface KeySpend {
+  /** Unique key database ID. */
+  id: number
+  /** Total spend in USD. */
+  total_spend: number
+  /** Total request count. */
+  total_requests: number
+  /** Total token count. */
+  total_tokens: number
+}
diff --git a/crates/proxy/admin-ui/src/api/types/metrics.ts b/crates/proxy/admin-ui/src/api/types/metrics.ts
new file mode 100644
index 0000000..3b51a99
--- /dev/null
+++ b/crates/proxy/admin-ui/src/api/types/metrics.ts
@@ -0,0 +1,141 @@
+/** Represents real-time usage and performance metrics for the proxy. */
+export interface Metrics {
+  /** The total number of requests received by the proxy. */
+  total_requests: number
+  /** The number of successful requests. */
+  successful_requests: number
+  /** The number of failed requests. */
+  failed_requests: number
+  /** The current request rate per minute. */
+  requests_per_minute: number
+  /** The p50 latency in milliseconds, if available. */
+  p50_latency_ms: number | null
+  /** The p95 latency in milliseconds, if available. */
+  p95_latency_ms: number | null
+  /** The percentage rate of request failures. */
+  error_rate: number
+  /** The number of streaming connection requests started. */
+  streams_started: number
+  /** The number of streaming connections completed. */
+  streams_completed: number
+  /** The number of streaming connections that failed. */
+  streams_failed: number
+  /** The number of streaming connections disconnected by the client. */
+  streams_client_disconnected: number
+  /** Requests where pxpipe text-to-image compression fired. */
+  pxpipe_compressed_total: number
+  /** Total PNG image blocks pxpipe emitted. */
+  pxpipe_images_total: number
+  /** Total source chars pxpipe replaced with images. */
+  pxpipe_imaged_chars_total: number
+  /** Requests where RTK tool-output compression fired. */
+  rtk_compressed_total: number
+  /** Total tool-result payloads RTK rewrote. */
+  rtk_blocks_total: number
+  /** Total source chars RTK removed from tool output. */
+  rtk_saved_chars_total: number
+}
+
+/** A time-series data point for observability charts. */
+export interface ObservabilityPoint {
+  /** UNIX timestamp representing the bucket start time. */
+  bucket_start: number
+  /** Total requests in this bucket. */
+  requests: number
+  /** Total errors in this bucket. */
+  errors: number
+  /** Total input tokens processed in this bucket. */
+  input_tokens: number
+  /** Total output tokens generated in this bucket. */
+  output_tokens: number
+  /** Calculated cost in USD in this bucket. */
+  cost_usd: number
+}
+
+/** Summary of error occurrences on a backend. */
+export interface ObservabilityFailure {
+  /** Class or classification of error. */
+  error_kind: string
+  /** Occurrence count. */
+  count: number
+  /** Last occurrence timestamp. */
+  last_seen: string
+  /** Last error message received. */
+  last_message: string
+}
+
+/** Represents a single trace event in the observability timeline. */
+export interface ObservabilityTimeline {
+  /** Transaction request ID. */
+  request_id: string
+  /** ISO 8601 request timestamp. */
+  timestamp: string
+  /** Backend provider routed to. */
+  backend: string
+  /** Model mapped to. */
+  model: string
+  /** Latency in milliseconds. */
+  latency_ms: number
+  /** Request outcome status. */
+  status: string
+}
+
+/** Observability stats summary response. */
+export interface ObservabilityResponse {
+  /** The time window in hours for metrics. */
+  window_hours: number
+  /** The name of the backend. */
+  backend: string
+  /** Total requests within the window. */
+  total_requests: number
+  /** Total errors within the window. */
+  total_errors: number
+  /** Total input tokens processed. */
+  total_input_tokens: number
+  /** Total output tokens generated. */
+  total_output_tokens: number
+  /** Total cost in USD. */
+  total_cost_usd: number
+  /** Historical metrics series points. */
+  series: ObservabilityPoint[]
+  /** Error breakdown summary. */
+  failures: ObservabilityFailure[]
+  /** Timeline events. */
+  timeline: ObservabilityTimeline[]
+}
+
+/** Real-time metrics for a specific API route. */
+export interface RouteMetrics {
+  /** The request path/route. */
+  path: string
+  /** Number of requests per minute. */
+  requests_per_min: number
+  /** Percentage rate of failures. */
+  error_rate: number
+  /** Average latency in milliseconds. */
+  avg_latency_ms: number
+  /** The p95 latency in milliseconds. */
+  p95_latency_ms: number
+  /** Total number of requests. */
+  total_requests: number
+}
+
+/** Time-series requests count point for a route. */
+export interface TrafficSeriesPoint {
+  /** UNIX timestamp representing the bucket start time. */
+  bucket_start: number
+  /** API path. */
+  path: string
+  /** Request count. */
+  requests: number
+}
+
+/** Response containing traffic analytics. */
+export interface TrafficResponse {
+  /** Time window in hours. */
+  window_hours: number
+  /** Metrics per route. */
+  routes: RouteMetrics[]
+  /** Time-series data points. */
+  series: TrafficSeriesPoint[]
+}
diff --git a/crates/proxy/admin-ui/src/api/types/models.ts b/crates/proxy/admin-ui/src/api/types/models.ts
new file mode 100644
index 0000000..370b142
--- /dev/null
+++ b/crates/proxy/admin-ui/src/api/types/models.ts
@@ -0,0 +1,69 @@
+/** Represents a single model configuration entry. */
+export interface ModelEntry {
+  /** The unique name/identifier of the model. */
+  model_name: string
+  /** The number of active deployments for this model. */
+  deployments: number
+}
+
+/** Response shape for models list requests. */
+export interface ModelsResponse {
+  /** List of model configurations. */
+  models: ModelEntry[]
+  /** Router strategy (e.g. priority, failover). */
+  strategy: string | null
+  /** Optional descriptive note. */
+  note?: string
+}
+
+/** Represents a model discovered from a backend API. */
+export interface DiscoveredModel {
+  /** The model identifier. */
+  id: string
+  /** Optional human-readable name. */
+  name: string | null
+}
+
+/** Response containing discovered models. */
+export interface DiscoverResponse {
+  /** List of discovered models. */
+  models: DiscoveredModel[]
+  /** Source or method used for discovery. */
+  source: string
+  /** True if authorization was used. */
+  auth_used: boolean
+}
+
+/** Details of a model available in the LiteLLM catalog. */
+export interface CatalogModel {
+  /** Unique model identifier. */
+  id: string
+  /** Maximum context window size in tokens. */
+  context_window: number
+  /** Maximum output tokens. */
+  max_output_tokens: number
+  /** Availability status of the model. */
+  status: 'available' | 'deprecated' | 'stub'
+  /** Capabilities flags. */
+  capabilities: {
+    streaming: boolean
+    tool_use: boolean
+    vision: boolean
+    extended_thinking: boolean
+  }
+  /** Pricing per million tokens. */
+  pricing: {
+    input_per_million_tokens: number
+    output_per_million_tokens: number
+  } | null
+}
+
+/** Response containing model lists. */
+export interface CatalogModelsResponse {
+  /** Catalog provider ID. */
+  provider_id: string
+  /** True if this provider has models. */
+  has_models: boolean
+  /** List of models. */
+  models: CatalogModel[]
+}
diff --git a/crates/proxy/admin-ui/src/api/types/optimizer.ts b/crates/proxy/admin-ui/src/api/types/optimizer.ts
new file mode 100644
index 0000000..374a504
--- /dev/null
+++ b/crates/proxy/admin-ui/src/api/types/optimizer.ts
@@ -0,0 +1,15 @@
+/** Status of the optional LLMLingua-2 ONNX model artifact (optimizer scorer tier). */
+export interface OptimizerModelStatus {
+  /** Proxy built with the `optimizer-onnx` feature. When false the tier is inert. */
+  compiled_in: boolean
+  /** Verified model artifact is present on disk. */
+  present: boolean
+  /** A download+verify is currently in flight. */
+  downloading: boolean
+  /** Last download error, if any. */
+  error: string | null
+  /** Pinned sha256 the artifact is verified against. */
+  sha256: string
+  /** Expected download size in bytes. */
+  size_bytes: number
+}
diff --git a/crates/proxy/admin-ui/src/api/types/proxy.ts b/crates/proxy/admin-ui/src/api/types/proxy.ts
new file mode 100644
index 0000000..26e7c5a
--- /dev/null
+++ b/crates/proxy/admin-ui/src/api/types/proxy.ts
@@ -0,0 +1,9 @@
+/** Represents the status and configuration details of the proxy server. */
+export interface ProxyStatus {
+  /** True if the proxy backend has been configured. */
+  configured: boolean
+  /** The port number the proxy listens on for client requests. */
+  proxy_port: number
+  /** Whether the proxy is currently running and accepting connections. */
+  proxy_running: boolean
+}
diff --git a/crates/proxy/admin-ui/src/api/types/requests.ts b/crates/proxy/admin-ui/src/api/types/requests.ts
new file mode 100644
index 0000000..ef7960a
--- /dev/null
+++ b/crates/proxy/admin-ui/src/api/types/requests.ts
@@ -0,0 +1,43 @@
+/** A single request transaction log entry. */
+export interface RequestLogEntry {
+  /** Unique transaction ID. */
+  request_id: string
+  /** ISO 8601 timestamp when the request was made. */
+  timestamp: string
+  /** The backend model provider targeted. */
+  backend: string
+  /** The model identifier requested by the client. */
+  model_requested: string | null
+  /** The actual model identifier routed to on the backend. */
+  model_mapped: string | null
+  /** HTTP response status code. */
+  status_code: number
+  /** Request duration in milliseconds. */
+  latency_ms: number
+  /** Number of input tokens processed. */
+  input_tokens: number | null
+  /** Number of output tokens generated. */
+  output_tokens: number | null
+  /** Whether the request was streamed. */
+  is_streaming: boolean
+  /** The raw error message returned by the backend, if any. */
+  error_message: string | null
+  /** Normalized error class/category. */
+  error_kind: string | null
+  /** The virtual key ID used for authorization, if any. */
+  key_id: number | null
+  /** Calculated transaction cost in USD. */
+  cost_usd: number | null
+}
+
+/** Paginated list response for request log queries. */
+export interface RequestsResponse {
+  /** The page of request log entries. */
+  requests: RequestLogEntry[]
+  /** Maximum number of items returned. */
+  limit: number
+  /** Pagination offset. */
+  offset: number
+  /** True if more records are available. */
+  has_more: boolean
+}
diff --git a/crates/proxy/admin-ui/src/api/types/routes.ts b/crates/proxy/admin-ui/src/api/types/routes.ts
new file mode 100644
index 0000000..e3c2844
--- /dev/null
+++ b/crates/proxy/admin-ui/src/api/types/routes.ts
@@ -0,0 +1,126 @@
+/** Represents a configured API routing definition. */
+export interface Route {
+  /** Unique route database ID. */
+  id: string
+  /** Route name. */
+  name: string
+  /** Optional description. */
+  description: string | null
+  /** Load balancing strategy. */
+  strategy: string
+  /** Requests per minute limit. */
+  rpm: number | null
+  /** Tokens per minute limit. */
+  tpm: number | null
+  /** Cost budget in USD. */
+  budget_usd: number | null
+  /** Active status toggle. */
+  enabled: boolean
+  /** Tool guardrail mode override. */
+  guardrail_mode: string | null
+  /** pxpipe image compression toggle override. */
+  pxpipe_compress: boolean | null
+  /** pxpipe models CSV override. */
+  pxpipe_models: string | null
+  /** Secret redaction toggle override. */
+  redact_secrets: boolean | null
+  /** Position order in the router. */
+  position: number
+  /** Count of providers assigned to this route. */
+  provider_count: number
+  /** ISO 8601 creation timestamp. */
+  created_at: string
+  /** ISO 8601 last update timestamp. */
+  updated_at: string
+}
+
+/** Response containing routing configs. */
+export interface RoutesResponse {
+  /** List of routes. */
+  routes: Route[]
+}
+
+/** Request payload to create a new route. */
+export interface CreateRouteRequest {
+  /** Unique route name. */
+  name: string
+  /** Route description. */
+  description?: string
+  /** Load balancing strategy. */
+  strategy?: string
+  /** Requests per minute limit. */
+  rpm?: number
+  /** Tokens per minute limit. */
+  tpm?: number
+  /** Cost budget in USD. */
+  budget_usd?: number
+  /** Active status toggle. */
+  enabled?: boolean
+  /** Tool guardrail mode override. */
+  guardrail_mode?: string | null
+  /** pxpipe image compression toggle override. */
+  pxpipe_compress?: boolean | null
+  /** pxpipe models CSV override. */
+  pxpipe_models?: string | null
+  /** Secret redaction toggle override. */
+  redact_secrets?: boolean | null
+  /** Position order. */
+  position?: number
+}
+
+/** Request payload to update an existing route. */
+export type UpdateRouteRequest = Partial<CreateRouteRequest>
+
+/** Represents a provider mapped to a route. */
+export interface RouteProvider {
+  /** Unique assignment ID. */
+  id: string
+  /** Target route ID. */
+  route_id: string
+  /** Backend ID. */
+  backend_id: string
+  /** Name of the backend. */
+  backend_name: string
+  /** Catalog provider ID. */
+  provider_id: string
+  /** Supported models list. */
+  models: string[]
+  /** Evaluation priority. */
+  priority: number
+  /** Active status. */
+  enabled: boolean
+}
+
+/** Response containing route provider mappings. */
+export interface RouteProvidersResponse {
+  /** List of mappings. */
+  providers: RouteProvider[]
+}
+
+/** Request payload to add a provider assignment to a route. */
+export interface AddRouteProviderRequest {
+  /** Target backend ID. */
+  backend_id: string
+  /** Supported models list. */
+  models?: string[]
+  /** Priority position. */
+  priority?: number
+  /** Active status. */
+  enabled?: boolean
+}
+
+/** Request payload to update a provider assignment configuration. */
+export interface UpdateRouteProviderRequest {
+  /** Supported models list. */
+  models?: string[]
+  /** Priority position. */
+  priority?: number
+  /** Active status. */
+  enabled?: boolean
+}
+
+/** Request payload to reorder provider mappings. */
+export interface ReorderRouteProvidersRequest {
+  /** Ordered list of provider assignment IDs. */
+  provider_ids: string[]
+}
diff --git a/crates/proxy/admin-ui/src/api/types/uptime.ts b/crates/proxy/admin-ui/src/api/types/uptime.ts
new file mode 100644
index 0000000..39478b5
--- /dev/null
+++ b/crates/proxy/admin-ui/src/api/types/uptime.ts
@@ -0,0 +1,41 @@
+/** A single day's uptime status. */
+export interface HistoryDay {
+  /** Date in YYYY-MM-DD format. */
+  date: string
+  /** Availability status. */
+  status: 'up' | 'down' | 'degraded' | 'no-data'
+}
+
+/** Uptime info for the proxy itself. */
+export interface ProxyUptimeInfo {
+  /** UNIX timestamp when the proxy started. */
+  started_at: number
+  /** Uptime percentage over the last 30 days. */
+  uptime_pct_30d: number
+  /** Daily uptime history. */
+  history: HistoryDay[]
+}
+
+/** Uptime info for a backend endpoint. */
+export interface BackendUptimeInfo {
+  /** Name of the backend. */
+  name: string
+  /** Current connection status. */
+  status: 'up' | 'down' | 'unknown'
+  /** UNIX timestamp of the last health check. */
+  last_checked_at: number | null
+  /** Last checked latency in milliseconds. */
+  last_latency_ms: number | null
+  /** 30-day uptime percentage. */
+  uptime_pct_30d: number
+  /** Daily uptime history. */
+  history: HistoryDay[]
+}
+
+/** Full uptime summary response. */
+export interface UptimeResponse {
+  /** Proxy server uptime details. */
+  proxy: ProxyUptimeInfo
+  /** Backend endpoints uptime details. */
+  backends: BackendUptimeInfo[]
+}
diff --git a/crates/proxy/admin-ui/src/api/types/ws.ts b/crates/proxy/admin-ui/src/api/types/ws.ts
new file mode 100644
index 0000000..52c41c9
--- /dev/null
+++ b/crates/proxy/admin-ui/src/api/types/ws.ts
@@ -0,0 +1,9 @@
+import type { RequestLogEntry } from './requests'
+import type { Metrics } from './metrics'
+
+/** Types of events sent over the admin WebSocket channel. */
+export type WSEvent =
+  | { type: 'request_completed'; data: RequestLogEntry }
+  | { type: 'metrics_snapshot'; data: Metrics }
+  | { type: 'config_changed'; data: { key: string; value: string } }
+  | { type: 'backend_health_changed'; data: { backend: string; status: 'up' | 'down'; latency_ms: number | null } }
diff --git a/crates/proxy/admin-ui/src/tabs/settings/EnvFileSection.tsx b/crates/proxy/admin-ui/src/tabs/settings/EnvFileSection.tsx
new file mode 100644
index 0000000..9d1f026
--- /dev/null
+++ b/crates/proxy/admin-ui/src/tabs/settings/EnvFileSection.tsx
@@ -0,0 +1,149 @@
+import { useRef, useState } from 'react'
+import { useImportEnv, downloadEnvExport } from '../../api/queries'
+import { AdminButton, AdminSurface } from '../../components/shared/Performative'
+import type { EnvImportResponse, EnvImportError } from '../../api/types'
+
+const RESTART_KEY = 'env_import_pending_restart'
+
+function restartPending() {
+  return sessionStorage.getItem(RESTART_KEY) === '1'
+}
+
+export default function EnvFileSection() {
+  const importEnv = useImportEnv()
+  const fileRef = useRef<HTMLInputElement>(null)
+
+  const [importResult, setImportResult] = useState<EnvImportResponse | null>(null)
+  const [importError, setImportError] = useState<EnvImportError | null>(null)
+  const [exportError, setExportError] = useState<string | null>(null)
+  const [showRestartBanner, setShowRestartBanner] = useState(restartPending)
+
+  function handleFileChange(e: React.ChangeEvent<HTMLInputElement>) {
+    const file = e.target.files?.[0]
+    if (!file) return
+    setImportResult(null)
+    setImportError(null)
+
+    importEnv.mutate(file, {
+      onSuccess(data) {
+        setImportResult(data)
+        sessionStorage.setItem(RESTART_KEY, '1')
+        setShowRestartBanner(true)
+      },
+      onError(err) {
+        // Try to parse hard_errors from the response body
+        try {
+          const parsed = JSON.parse(err.message) as EnvImportError
+          if (parsed.hard_errors) {
+            setImportError(parsed)
+            return
+          }
+        } catch {
+          // fall through to generic error
+        }
+        setImportError({ hard_errors: [err.message], warnings: [] })
+      },
+    })
+
+    // Reset file input so the same file can be re-selected after fixing issues
+    if (fileRef.current) fileRef.current.value = ''
+  }
+
+  async function handleExport() {
+    setExportError(null)
+    try {
+      await downloadEnvExport()
+    } catch (err) {
+      setExportError(err instanceof Error ? err.message : String(err))
+    }
+  }
+
+  function dismissRestartBanner() {
+    sessionStorage.removeItem(RESTART_KEY)
+    setShowRestartBanner(false)
+  }
+
+  return (
+    <div style={{ marginBottom: 24 }}>
+      {/* Restart-required banner — shown after a successful import */}
+      {showRestartBanner && (
+        <AdminSurface className="settings-restart-banner" style={{ marginBottom: 16 }}>
+          <span>Restart the proxy for imported env vars to take effect.</span>
+          <AdminButton size="sm" onClick={dismissRestartBanner}>Dismiss</AdminButton>
+        </AdminSurface>
+      )}
+
+      <div className="section-label" style={{ marginBottom: 8 }}>Env File</div>
+      <div style={{ display: 'flex', gap: 8, alignItems: 'center' }}>
+        <input
+          ref={fileRef}
+          type="file"
+          accept=".env,.anyllm.env,text/plain"
+          style={{ display: 'none' }}
+          onChange={handleFileChange}
+        />
+        <AdminButton
+          size="sm"
+          onClick={() => fileRef.current?.click()}
+          disabled={importEnv.isPending}
+          loading={importEnv.isPending}
+        >
+          Import .anyllm.env
+        </AdminButton>
+        <AdminButton size="sm" onClick={handleExport}>
+          Export .anyllm.env
+        </AdminButton>
+      </div>
+
+      {/* Import success */}
+      {importResult && (
+        <div style={{ marginTop: 10 }}>
+          <div className="dim" style={{ marginBottom: 4 }}>
+            {importResult.applied} variable{importResult.applied !== 1 ? 's' : ''} imported.
+            {importResult.warnings.length === 0 && ' No issues.'}
+          </div>
+          {importResult.warnings.length > 0 && (
+            <div style={{ marginTop: 8, padding: '8px 12px', background: 'var(--warn-dim)', borderLeft: '3px solid var(--warn)', borderRadius: 'var(--r)', fontSize: 12 }}>
+              <div style={{ fontWeight: 600, marginBottom: 4 }}>Warnings</div>
+              {importResult.warnings.map((w, i) => (
+                <div key={i} className="mono" style={{ fontSize: 12 }}>
+                  {w.line != null && <span className="dim">[line {w.line}] </span>}
+                  {w.key && <span>{w.key}: </span>}
+                  {w.message}
+                </div>
+              ))}
+            </div>
+          )}
+        </div>
+      )}
+
+      {/* Import hard error */}
+      {importError && (
+        <div style={{ marginTop: 10, padding: '8px 12px', background: 'var(--err-dim)', borderLeft: '3px solid var(--err)', borderRadius: 'var(--r)', fontSize: 12 }}>
+          <div style={{ fontWeight: 600, marginBottom: 4 }}>Import rejected</div>
+          {importError.hard_errors.map((e, i) => (
+            <div key={i} className="mono" style={{ fontSize: 12 }}>{e}</div>
+          ))}
+          {importError.warnings.length > 0 && (
+            <>
+              <div style={{ fontWeight: 600, marginTop: 8, marginBottom: 4 }}>Warnings (from partial parse)</div>
+              {importError.warnings.map((w, i) => (
+                <div key={i} className="mono" style={{ fontSize: 12 }}>
+                  {w.line != null && <span className="dim">[line {w.line}] </span>}
+                  {w.message}
+                </div>
+              ))}
+            </>
+          )}
+        </div>
+      )}
+
+      {/* Export error */}
+      {exportError && (
+        <div style={{ marginTop: 10, padding: '8px 12px', background: 'var(--err-dim)', borderLeft: '3px solid var(--err)', borderRadius: 'var(--r)', fontSize: 12 }}>
+          Export failed: {exportError}
+        </div>
+      )}
+    </div>
+  )
+}
diff --git a/crates/proxy/admin-ui/src/tabs/settings/EnvVariablesSection.tsx b/crates/proxy/admin-ui/src/tabs/settings/EnvVariablesSection.tsx
new file mode 100644
index 0000000..6efe03f
--- /dev/null
+++ b/crates/proxy/admin-ui/src/tabs/settings/EnvVariablesSection.tsx
@@ -0,0 +1,23 @@
+import { Fragment } from 'react'
+
+interface EnvVariablesSectionProps {
+  envData: Record<string, string> | undefined
+}
+
+export default function EnvVariablesSection({ envData }: EnvVariablesSectionProps) {
+  if (!envData) return null
+
+  return (
+    <div className="readonly-section" style={{ marginTop: 16 }}>
+      <div className="section-label">Environment</div>
+      <div style={{ display: 'grid', gridTemplateColumns: '220px 1fr', gap: '4px 12px', marginTop: 8, fontSize: 12 }}>
+        {Object.entries(envData).map(([k, v]) => (
+          <Fragment key={k}>
+            <span className="dim">{k}</span>
+            <span className="mono">{v}</span>
+          </Fragment>
+        ))}
+      </div>
+    </div>
+  )
+}
diff --git a/crates/proxy/admin-ui/src/tabs/settings/GettingStartedNotice.tsx b/crates/proxy/admin-ui/src/tabs/settings/GettingStartedNotice.tsx
new file mode 100644
index 0000000..fadc3c0
--- /dev/null
+++ b/crates/proxy/admin-ui/src/tabs/settings/GettingStartedNotice.tsx
@@ -0,0 +1,43 @@
+interface GettingStartedNoticeProps {
+  configured: boolean
+}
+
+export default function GettingStartedNotice({ configured }: GettingStartedNoticeProps) {
+  if (configured) return null
+
+  return (
+    <div style={{ marginBottom: 20, padding: '12px 16px', border: '1px solid var(--border)', borderLeft: '3px solid var(--warn)', borderRadius: 'var(--r)', fontSize: 13 }}>
+      <div style={{ fontWeight: 600, marginBottom: 8 }}>No backend configured — nothing to forward requests to.</div>
+      <div style={{ marginBottom: 10 }}>
+        Add a backend on the <span className="mono">Backends</span> tab, or configure one via env.
+        The proxy needs a backend endpoint (where to forward) and a listen port (where to accept).
+        LISTEN_PORT defaults to 3000. Create a <span className="mono">.anyllm.env</span> and import it below,
+        or pass it at startup: <span className="mono">anyllm-proxy --webui --env-file .anyllm.env</span>
+      </div>
+      <div style={{ display: 'grid', gridTemplateColumns: '1fr 1fr 1fr', gap: 10 }}>
+        <div>
+          <div style={{ fontWeight: 600, marginBottom: 4, fontSize: 12 }}>OpenAI</div>
+          <pre style={{ margin: 0, padding: '6px 10px', background: 'var(--surface-2)', borderRadius: 'var(--r)', fontSize: 11, overflowX: 'auto' }}>
+{`OPENAI_API_KEY=sk-...
+PROXY_API_KEYS=my-key`}
+          </pre>
+        </div>
+        <div>
+          <div style={{ fontWeight: 600, marginBottom: 4, fontSize: 12 }}>Ollama / local LLM</div>
+          <pre style={{ margin: 0, padding: '6px 10px', background: 'var(--surface-2)', borderRadius: 'var(--r)', fontSize: 11, overflowX: 'auto' }}>
+{`OPENAI_BASE_URL=http://localhost:11434/v1
+PROXY_OPEN_RELAY=true`}
+          </pre>
+        </div>
+        <div>
+          <div style={{ fontWeight: 600, marginBottom: 4, fontSize: 12 }}>OpenRouter / custom</div>
+          <pre style={{ margin: 0, padding: '6px 10px', background: 'var(--surface-2)', borderRadius: 'var(--r)', fontSize: 11, overflowX: 'auto' }}>
+{`OPENAI_BASE_URL=https://openrouter.ai/api/v1
+OPENAI_API_KEY=sk-or-...
+PROXY_API_KEYS=my-key`}
+          </pre>
+        </div>
+      </div>
+    </div>
+  )
+}
diff --git a/crates/proxy/admin-ui/src/tabs/settings/RuntimeSettingsSection.tsx b/crates/proxy/admin-ui/src/tabs/settings/RuntimeSettingsSection.tsx
new file mode 100644
index 0000000..6896074
--- /dev/null
+++ b/crates/proxy/admin-ui/src/tabs/settings/RuntimeSettingsSection.tsx
@@ -0,0 +1,376 @@
+import { useState } from 'react'
+import {
+  useSaveConfig, useDeleteConfigOverride,
+  useOptimizerModel, useDownloadOptimizerModel,
+} from '../../api/queries'
+import ConfirmDialog from '../../components/shared/ConfirmDialog'
+import { AdminButton } from '../../components/shared/Performative'
+import type { ConfigResponse } from '../../api/types'
+
+function fmtMB(bytes: number): string {
+  return `${Math.round(bytes / 1_000_000)} MB`
+}
+
+interface RuntimeSettingsSectionProps {
+  cfg: ConfigResponse
+}
+
+export default function RuntimeSettingsSection({ cfg }: RuntimeSettingsSectionProps) {
+  const save = useSaveConfig()
+  const del = useDeleteConfigOverride()
+  const { data: model } = useOptimizerModel()
+  const downloadModel = useDownloadOptimizerModel()
+
+  const [form, setForm] = useState<Record<string, string>>({})
+  const [pendingReset, setPendingReset] = useState<string | null>(null)
+
+  /** Resets a config override key back to its default value. */
+  function doReset() {
+    if (!pendingReset) return Promise.resolve()
+    const key = pendingReset
+    return del.mutateAsync(key).then(() => undefined)
+  }
+
+  /** Saves a text configuration setting value. */
+  function handleSave(key: string, currentValue: string) {
+    save.mutate({ [key]: form[key] ?? currentValue })
+  }
+
+  /** Saves a boolean configuration setting value. */
+  function handleBooleanSave(key: string, value: boolean) {
+    save.mutate({ [key]: value })
+  }
+
+  // pxpipe model scope is a CSV of model bases; a model is "in scope" when any
+  // base is a substring of its id (mirrors the backend's model_in_scope).
+  function pxpipeScope(): string[] {
+    return (cfg.pxpipe_models ?? '').split(',').map((s) => s.trim()).filter(Boolean)
+  }
+  function pxpipeModelChecked(model: string): boolean {
+    const m = model.toLowerCase()
+    return pxpipeScope().some((base) => m.includes(base.toLowerCase()))
+  }
+  function togglePxpipeModel(model: string, on: boolean) {
+    const cur = pxpipeScope()
+    const next = on
+      ? (pxpipeModelChecked(model) ? cur : [...cur, model])
+      : cur.filter((base) => !model.toLowerCase().includes(base.toLowerCase()))
+    save.mutate({ pxpipe_models: next.join(',') })
+  }
+
+  return (
+    <div>
+      <div className="section-label" style={{ marginBottom: 8 }}>Runtime</div>
+      <div className="form-group">
+        <label className="form-label" htmlFor="cfg-redact-secrets" style={{ display: 'flex', alignItems: 'center', gap: 8 }}>
+          <input
+            id="cfg-redact-secrets"
+            type="checkbox"
+            checked={cfg.redact_secrets}
+            disabled={save.isPending}
+            onChange={(e) => handleBooleanSave('redact_secrets', e.target.checked)}
+          />
+          Redact secrets
+        </label>
+        {cfg.overridden_keys.includes('redact_secrets') && (
+          <div className="form-row">
+            <AdminButton size="sm" onClick={() => setPendingReset('redact_secrets')}>
+              Reset
+            </AdminButton>
+          </div>
+        )}
+      </div>
+
+      <div className="form-group">
+        <label className="form-label" htmlFor="cfg-log-bodies" style={{ display: 'flex', alignItems: 'center', gap: 8 }}>
+          <input
+            id="cfg-log-bodies"
+            type="checkbox"
+            checked={cfg.log_bodies}
+            disabled={save.isPending}
+            onChange={(e) => handleBooleanSave('log_bodies', e.target.checked)}
+          />
+          Log bodies
+        </label>
+        {cfg.overridden_keys.includes('log_bodies') && (
+          <div className="form-row">
+            <AdminButton size="sm" onClick={() => setPendingReset('log_bodies')}>
+              Reset
+            </AdminButton>
+          </div>
+        )}
+      </div>
+
+      <div className="form-group">
+        <label className="form-label" htmlFor="cfg-thinking-repair" style={{ display: 'flex', alignItems: 'center', gap: 8 }}>
+          <input
+            id="cfg-thinking-repair"
+            type="checkbox"
+            checked={cfg.anthropic_thinking_repair}
+            disabled={save.isPending}
+            onChange={(e) => handleBooleanSave('anthropic_thinking_repair', e.target.checked)}
+          />
+          Anthropic thinking-block repair
+        </label>
+        <div className="dim" style={{ fontSize: 12 }}>
+          Repairs corrupted thinking/redacted_thinking blocks in Anthropic passthrough
+          requests (applies to any backend running in BACKEND=anthropic passthrough mode,
+          including a named backend in a multi-backend config). Off by default.
+        </div>
+        {cfg.overridden_keys.includes('anthropic_thinking_repair') && (
+          <div className="form-row">
+            <AdminButton size="sm" onClick={() => setPendingReset('anthropic_thinking_repair')}>
+              Reset
+            </AdminButton>
+          </div>
+        )}
+      </div>
+
+      <div className="form-group">
+        <label className="form-label" htmlFor="cfg-pxpipe-compress" style={{ display: 'flex', alignItems: 'center', gap: 8 }}>
+          <input
+            id="cfg-pxpipe-compress"
+            type="checkbox"
+            checked={cfg.pxpipe_compress}
+            disabled={save.isPending}
+            onChange={(e) => handleBooleanSave('pxpipe_compress', e.target.checked)}
+          />
+          Image context compression (pxpipe)
+        </label>
+        <div className="dim" style={{ fontSize: 12 }}>
+          Renders the stable system + tool-definition slab of Anthropic passthrough requests to a
+          PNG image block to save input tokens on vision models. Off by default. Enable per-model
+          below — only models that read imaged text reliably are offered.
+        </div>
+        {cfg.overridden_keys.includes('pxpipe_compress') && (
+          <div className="form-row">
+            <AdminButton size="sm" onClick={() => setPendingReset('pxpipe_compress')}>
+              Reset
+            </AdminButton>
+          </div>
+        )}
+        {cfg.pxpipe_compress && (
+          <div style={{ marginTop: 8 }}>
+            <div className="form-label" style={{ fontSize: 13 }}>Models in scope (vision-capable)</div>
+            {cfg.pxpipe_available_models.length === 0 ? (
+              <div className="dim" style={{ fontSize: 12 }}>No vision-capable models in the catalog.</div>
+            ) : (
+              <div style={{ display: 'flex', flexWrap: 'wrap', gap: '4px 16px' }}>
+                {cfg.pxpipe_available_models.map((model) => (
+                  <label key={model} style={{ display: 'flex', alignItems: 'center', gap: 6, fontSize: 12 }}>
+                    <input
+                      type="checkbox"
+                      checked={pxpipeModelChecked(model)}
+                      disabled={save.isPending}
+                      onChange={(e) => togglePxpipeModel(model, e.target.checked)}
+                    />
+                    {model}
+                  </label>
+                ))}
+              </div>
+            )}
+            {cfg.overridden_keys.includes('pxpipe_models') && (
+              <div className="form-row" style={{ marginTop: 6 }}>
+                <AdminButton size="sm" onClick={() => setPendingReset('pxpipe_models')}>
+                  Reset scope
+                </AdminButton>
+              </div>
+            )}
+          </div>
+        )}
+      </div>
+
+      <div className="form-group">
+        <label className="form-label" htmlFor="cfg-rtk-compress" style={{ display: 'flex', alignItems: 'center', gap: 8 }}>
+          <input
+            id="cfg-rtk-compress"
+            type="checkbox"
+            checked={cfg.rtk_compress}
+            disabled={save.isPending}
+            onChange={(e) => handleBooleanSave('rtk_compress', e.target.checked)}
+          />
+          Tool-output compression (RTK)
+        </label>
+        <div className="dim" style={{ fontSize: 12 }}>
+          Command-aware filtering of tool-result text (test/build/git/log output) using the RTK
+          filter catalog. Shrinks noisy machine output before it reaches the backend; deterministic
+          and cache-safe. Off by default. Applies to Anthropic passthrough and translate paths.
+        </div>
+        {cfg.overridden_keys.includes('rtk_compress') && (
+          <div className="form-row">
+            <AdminButton size="sm" onClick={() => setPendingReset('rtk_compress')}>
+              Reset
+            </AdminButton>
+          </div>
+        )}
+        {cfg.rtk_compress && (
+          <div style={{ marginTop: 8 }}>
+            <div className="form-label" style={{ fontSize: 13 }}>Models in scope (CSV, empty = all)</div>
+            <input
+              type="text"
+              className="form-input"
+              key={cfg.rtk_models}
+              defaultValue={cfg.rtk_models}
+              placeholder="empty = all models; e.g. claude, gpt-5"
+              disabled={save.isPending}
+              onBlur={(e) => {
+                const v = e.target.value.trim()
+                if (v === (cfg.rtk_models ?? '')) return
+                save.mutate({ rtk_models: v })
+              }}
+            />
+            {cfg.overridden_keys.includes('rtk_models') && (
+              <div className="form-row" style={{ marginTop: 6 }}>
+                <AdminButton size="sm" onClick={() => setPendingReset('rtk_models')}>
+                  Reset scope
+                </AdminButton>
+              </div>
+            )}
+          </div>
+        )}
+      </div>
+
+      <div className="form-group">
+        <label className="form-label" htmlFor="cfg-forward-client-auth" style={{ display: 'flex', alignItems: 'center', gap: 8 }}>
+          <input
+            id="cfg-forward-client-auth"
+            type="checkbox"
+            checked={cfg.forward_client_auth}
+            disabled={save.isPending}
+            onChange={(e) => handleBooleanSave('forward_client_auth', e.target.checked)}
+          />
+          Forward client credential (Anthropic passthrough)
+        </label>
+        <div className="dim" style={{ fontSize: 12 }}>
+          Forwards the client's own x-api-key/Authorization header upstream instead of the
+          operator's configured credential (BACKEND=anthropic passthrough only, single-key/BYOK
+          deployments). The proxy refuses to enable this with 2+ PROXY_API_KEYS entries and no
+          PROXY_OPEN_RELAY. Off by default.
+        </div>
+        {cfg.overridden_keys.includes('forward_client_auth') && (
+          <div className="form-row">
+            <AdminButton size="sm" onClick={() => setPendingReset('forward_client_auth')}>
+              Reset
+            </AdminButton>
+          </div>
+        )}
+      </div>
+
+      <div className="form-group">
+        <label className="form-label" htmlFor="cfg-tool-guardrail-mode">Tool guardrail mode</label>
+        <div className="form-row">
+          <select
+            id="cfg-tool-guardrail-mode"
+            value={cfg.tool_guardrail_mode}
+            disabled={save.isPending}
+            onChange={(e) => save.mutate({ tool_guardrail_mode: e.target.value })}
+          >
+            <option value="disabled">Disabled</option>
+            <option value="standard">Standard</option>
+          </select>
+          {cfg.overridden_keys.includes('tool_guardrail_mode') && (
+            <AdminButton size="sm" onClick={() => setPendingReset('tool_guardrail_mode')}>
+              Reset
+            </AdminButton>
+          )}
+        </div>
+        <div className="dim" style={{ fontSize: 12 }}>
+          Applies advisory guardrails to tool calls the proxy auto-executes. Disabled by default.
+        </div>
+      </div>
+
+      <div className="form-group">
+        <label className="form-label" htmlFor="cfg-optimizer-mode">Prompt compression (optimizer)</label>
+        <div className="form-row">
+          <select
+            id="cfg-optimizer-mode"
+            value={cfg.optimizer_mode}
+            disabled={save.isPending || (!!model?.compiled_in && !model?.present)}
+            onChange={(e) => save.mutate({ optimizer_mode: e.target.value })}
+          >
+            <option value="off">Off</option>
+            <option value="shadow">Shadow (report only)</option>
+            <option value="live">Live (compress)</option>
+          </select>
+          {cfg.overridden_keys.includes('optimizer_mode') && (
+            <AdminButton size="sm" onClick={() => setPendingReset('optimizer_mode')}>
+              Reset
+            </AdminButton>
+          )}
+        </div>
+        <div className="dim" style={{ fontSize: 12 }}>
+          Frozen-Frontier compression of long conversation history (latest turn untouched). Off by default.
+        </div>
+
+        {model && !model.compiled_in && (
+          <div className="dim" style={{ fontSize: 12, marginTop: 8 }}>
+            Heuristic scorer only. Rebuild the proxy with <code>--features optimizer-onnx</code> to enable the LLMLingua-2 ONNX scorer.
+          </div>
+        )}
+        {model?.compiled_in && !model.present && !model.downloading && (
+          <div className="form-row" style={{ marginTop: 8 }}>
+            <AdminButton
+              size="sm"
+              disabled={downloadModel.isPending}
+              onClick={() => downloadModel.mutate()}
+            >
+              Download model ({fmtMB(model.size_bytes)})
+            </AdminButton>
+            <span className="dim" style={{ fontSize: 12 }}>
+              Required before enabling. Verified against a pinned sha256.
+            </span>
+          </div>
+        )}
+        {model?.downloading && (
+          <div className="dim" style={{ fontSize: 12, marginTop: 8 }}>
+            Downloading and verifying model ({fmtMB(model.size_bytes)})…
+          </div>
+        )}
+        {model?.error && !model.downloading && (
+          <div style={{ fontSize: 12, marginTop: 8, color: 'var(--danger, #c0392b)' }}>
+            Download failed: {model.error}
+          </div>
+        )}
+        {model?.compiled_in && model.present && (
+          <div className="dim" style={{ fontSize: 12, marginTop: 8 }}>
+            ONNX scorer ready — live mode uses LLMLingua-2 (loaded on the next request).
+          </div>
+        )}
+      </div>
+
+      {cfg.entries.filter((entry) => !['redact_secrets', 'log_bodies', 'anthropic_thinking_repair', 'pxpipe_compress', 'pxpipe_models', 'rtk_compress', 'rtk_models', 'forward_client_auth', 'tool_guardrail_mode', 'optimizer_mode'].includes(entry.key)).map((entry) => {
+        const inputId = `cfg-${entry.key}`
+        return (
+          <div className="form-group" key={entry.key}>
+            <label className="form-label" htmlFor={inputId}>{entry.key}</label>
+            <div className="form-row">
+              <input
+                id={inputId}
+                name={entry.key}
+                value={form[entry.key] ?? entry.value}
+                onChange={(e) => setForm((f) => ({ ...f, [entry.key]: e.target.value }))}
+              />
+              <AdminButton tone="primary" size="sm" onClick={() => handleSave(entry.key, entry.value)}>Save</AdminButton>
+              <AdminButton size="sm" onClick={() => setPendingReset(entry.key)}>Reset</AdminButton>
+            </div>
+          </div>
+        )
+      })}
+
+      <ConfirmDialog
+        open={pendingReset !== null}
+        onClose={() => setPendingReset(null)}
+        onConfirm={doReset}
+        title="Reset override?"
+        message={
+          <>
+            Reset override for <span className="mono">{pendingReset}</span>? The runtime value will revert
+            to the env-file or default. Active connections are not affected.
+          </>
+        }
+        confirmLabel="Reset"
+        variant="primary"
+      />
+    </div>
+  )
+}
diff --git a/crates/proxy/admin-ui/src/tabs/settings/Settings.tsx b/crates/proxy/admin-ui/src/tabs/settings/Settings.tsx
index 8059fe0..9be69fc 100644
--- a/crates/proxy/admin-ui/src/tabs/settings/Settings.tsx
+++ b/crates/proxy/admin-ui/src/tabs/settings/Settings.tsx
@@ -1,126 +1,19 @@
-import { Fragment, useRef, useState } from 'react'
-import {
-  useConfig, useSaveConfig, useDeleteConfigOverride, useEnv,
-  useImportEnv, downloadEnvExport, useStatus,
-  useOptimizerModel, useDownloadOptimizerModel,
-} from '../../api/queries'
+import { useConfig, useEnv, useStatus } from '../../api/queries'
 import EmptyState from '../../components/shared/EmptyState'
-import ConfirmDialog from '../../components/shared/ConfirmDialog'
-import { AdminButton, AdminSurface } from '../../components/shared/Performative'
-import type { EnvImportResponse, EnvImportError } from '../../api/types'
-
-const RESTART_KEY = 'env_import_pending_restart'
-
-function restartPending() {
-  return sessionStorage.getItem(RESTART_KEY) === '1'
-}
-
-function fmtMB(bytes: number): string {
-  return `${Math.round(bytes / 1_000_000)} MB`
-}
+import GettingStartedNotice from './GettingStartedNotice'
+import EnvFileSection from './EnvFileSection'
+import RuntimeSettingsSection from './RuntimeSettingsSection'
+import EnvVariablesSection from './EnvVariablesSection'
 
 /**
  * Settings Component.
- * Provides controls for configuring system settings, environment variables export/import,
- * and proxy properties.
+ * Coordinates and provides controls for configuring system settings,
+ * environment variables export/import, and proxy properties.
  */
 export default function Settings({ configured = true }: { configured?: boolean }) {
   const { data: cfg, isLoading, error } = useConfig()
-  const { data: model } = useOptimizerModel()
-  const downloadModel = useDownloadOptimizerModel()
   const { data: envData } = useEnv()
   const { data: status } = useStatus()
-  const save = useSaveConfig()
-  const del = useDeleteConfigOverride()
-  const importEnv = useImportEnv()
-  const fileRef = useRef<HTMLInputElement>(null)
-
-  const [form, setForm] = useState<Record<string, string>>({})
-  const [importResult, setImportResult] = useState<EnvImportResponse | null>(null)
-  const [importError, setImportError] = useState<EnvImportError | null>(null)
-  const [exportError, setExportError] = useState<string | null>(null)
-  const [showRestartBanner, setShowRestartBanner] = useState(restartPending)
-  const [pendingReset, setPendingReset] = useState<string | null>(null)
-
-  /** Resets a config override key back to its default value. */
-  function doReset() {
-    if (!pendingReset) return Promise.resolve()
-    const key = pendingReset
-    return del.mutateAsync(key).then(() => undefined)
-  }
-
-  /** Saves a text configuration setting value. */
-  function handleSave(key: string, currentValue: string) {
-    save.mutate({ [key]: form[key] ?? currentValue })
-  }
-
-  /** Saves a boolean configuration setting value. */
-  function handleBooleanSave(key: string, value: boolean) {
-    save.mutate({ [key]: value })
-  }
-
-  // pxpipe model scope is a CSV of model bases; a model is "in scope" when any
-  // base is a substring of its id (mirrors the backend's model_in_scope).
-  function pxpipeScope(): string[] {
-    return (cfg?.pxpipe_models ?? '').split(',').map((s) => s.trim()).filter(Boolean)
-  }
-  function pxpipeModelChecked(model: string): boolean {
-    const m = model.toLowerCase()
-    return pxpipeScope().some((base) => m.includes(base.toLowerCase()))
-  }
-  function togglePxpipeModel(model: string, on: boolean) {
-    const cur = pxpipeScope()
-    const next = on
-      ? (pxpipeModelChecked(model) ? cur : [...cur, model])
-      : cur.filter((base) => !model.toLowerCase().includes(base.toLowerCase()))
-    save.mutate({ pxpipe_models: next.join(',') })
-  }
-
-  function handleFileChange(e: React.ChangeEvent<HTMLInputElement>) {
-    const file = e.target.files?.[0]
-    if (!file) return
-    setImportResult(null)
-    setImportError(null)
-
-    importEnv.mutate(file, {
-      onSuccess(data) {
-        setImportResult(data)
-        sessionStorage.setItem(RESTART_KEY, '1')
-        setShowRestartBanner(true)
-      },
-      onError(err) {
-        // Try to parse hard_errors from the response body
-        try {
-          const parsed = JSON.parse(err.message) as EnvImportError
-          if (parsed.hard_errors) {
-            setImportError(parsed)
-            return
-          }
-        } catch {
-          // fall through to generic error
-        }
-        setImportError({ hard_errors: [err.message], warnings: [] })
-      },
-    })
-
-    // Reset file input so the same file can be re-selected after fixing issues
-    if (fileRef.current) fileRef.current.value = ''
-  }
-
-  async function handleExport() {
-    setExportError(null)
-    try {
-      await downloadEnvExport()
-    } catch (err) {
-      setExportError(err instanceof Error ? err.message : String(err))
-    }
-  }
-
-  /** Dismisses the restart banner reminding the operator that imports require a restart. */
-  function dismissRestartBanner() {
-    sessionStorage.removeItem(RESTART_KEY)
-    setShowRestartBanner(false)
-  }
 
   const proxyUrl = status ? `http://${window.location.hostname}:${status.proxy_port}` : ''
 
@@ -142,458 +35,19 @@ export default function Settings({ configured = true }: { configured?: boolean }
         </div>
       )}
 
-      {/* Getting-started notice — shown when no backend is configured (no env/config-file
-          signal and no managed backend). Manage backends on the Backends tab. */}
-      {!configured && (
-        <div style={{ marginBottom: 20, padding: '12px 16px', border: '1px solid var(--border)', borderLeft: '3px solid var(--warn)', borderRadius: 'var(--r)', fontSize: 13 }}>
-          <div style={{ fontWeight: 600, marginBottom: 8 }}>No backend configured — nothing to forward requests to.</div>
-          <div style={{ marginBottom: 10 }}>
-            Add a backend on the <span className="mono">Backends</span> tab, or configure one via env.
-            The proxy needs a backend endpoint (where to forward) and a listen port (where to accept).
-            LISTEN_PORT defaults to 3000. Create a <span className="mono">.anyllm.env</span> and import it below,
-            or pass it at startup: <span className="mono">anyllm-proxy --webui --env-file .anyllm.env</span>
-          </div>
-          <div style={{ display: 'grid', gridTemplateColumns: '1fr 1fr 1fr', gap: 10 }}>
-            <div>
-              <div style={{ fontWeight: 600, marginBottom: 4, fontSize: 12 }}>OpenAI</div>
-              <pre style={{ margin: 0, padding: '6px 10px', background: 'var(--surface-2)', borderRadius: 'var(--r)', fontSize: 11, overflowX: 'auto' }}>
-{`OPENAI_API_KEY=sk-...
-PROXY_API_KEYS=my-key`}
-              </pre>
-            </div>
-            <div>
-              <div style={{ fontWeight: 600, marginBottom: 4, fontSize: 12 }}>Ollama / local LLM</div>
-              <pre style={{ margin: 0, padding: '6px 10px', background: 'var(--surface-2)', borderRadius: 'var(--r)', fontSize: 11, overflowX: 'auto' }}>
-{`OPENAI_BASE_URL=http://localhost:11434/v1
-PROXY_OPEN_RELAY=true`}
-              </pre>
-            </div>
-            <div>
-              <div style={{ fontWeight: 600, marginBottom: 4, fontSize: 12 }}>OpenRouter / custom</div>
-              <pre style={{ margin: 0, padding: '6px 10px', background: 'var(--surface-2)', borderRadius: 'var(--r)', fontSize: 11, overflowX: 'auto' }}>
-{`OPENAI_BASE_URL=https://openrouter.ai/api/v1
-OPENAI_API_KEY=sk-or-...
-PROXY_API_KEYS=my-key`}
-              </pre>
-            </div>
-          </div>
-        </div>
-      )}
-
-      {/* Restart-required banner — shown after a successful import */}
-      {showRestartBanner && (
-        <AdminSurface className="settings-restart-banner">
-          <span>Restart the proxy for imported env vars to take effect.</span>
-          <AdminButton size="sm" onClick={dismissRestartBanner}>Dismiss</AdminButton>
-        </AdminSurface>
-      )}
+      {/* Getting-started notice — shown when no backend is configured */}
+      <GettingStartedNotice configured={configured} />
 
       {/* Env file import / export */}
-      <div style={{ marginBottom: 24 }}>
-        <div className="section-label" style={{ marginBottom: 8 }}>Env File</div>
-        <div style={{ display: 'flex', gap: 8, alignItems: 'center' }}>
-          <input
-            ref={fileRef}
-            type="file"
-            accept=".env,.anyllm.env,text/plain"
-            style={{ display: 'none' }}
-            onChange={handleFileChange}
-          />
-          <AdminButton
-            size="sm"
-            onClick={() => fileRef.current?.click()}
-            disabled={importEnv.isPending}
-            loading={importEnv.isPending}
-          >
-            Import .anyllm.env
-          </AdminButton>
-          <AdminButton size="sm" onClick={handleExport}>
-            Export .anyllm.env
-          </AdminButton>
-        </div>
-
-        {/* Import success */}
-        {importResult && (
-          <div style={{ marginTop: 10 }}>
-            <div className="dim" style={{ marginBottom: 4 }}>
-              {importResult.applied} variable{importResult.applied !== 1 ? 's' : ''} imported.
-              {importResult.warnings.length === 0 && ' No issues.'}
-            </div>
-            {importResult.warnings.length > 0 && (
-              <div style={{ marginTop: 8, padding: '8px 12px', background: 'var(--warn-dim)', borderLeft: '3px solid var(--warn)', borderRadius: 'var(--r)', fontSize: 12 }}>
-                <div style={{ fontWeight: 600, marginBottom: 4 }}>Warnings</div>
-                {importResult.warnings.map((w, i) => (
-                  <div key={i} className="mono" style={{ fontSize: 12 }}>
-                    {w.line != null && <span className="dim">[line {w.line}] </span>}
-                    {w.key && <span>{w.key}: </span>}
-                    {w.message}
-                  </div>
-                ))}
-              </div>
-            )}
-          </div>
-        )}
-
-        {/* Import hard error */}
-        {importError && (
-          <div style={{ marginTop: 10, padding: '8px 12px', background: 'var(--err-dim)', borderLeft: '3px solid var(--err)', borderRadius: 'var(--r)', fontSize: 12 }}>
-            <div style={{ fontWeight: 600, marginBottom: 4 }}>Import rejected</div>
-            {importError.hard_errors.map((e, i) => (
-              <div key={i} className="mono" style={{ fontSize: 12 }}>{e}</div>
-            ))}
-            {importError.warnings.length > 0 && (
-              <>
-                <div style={{ fontWeight: 600, marginTop: 8, marginBottom: 4 }}>Warnings (from partial parse)</div>
-                {importError.warnings.map((w, i) => (
-                  <div key={i} className="mono" style={{ fontSize: 12 }}>
-                    {w.line != null && <span className="dim">[line {w.line}] </span>}
-                    {w.message}
-                  </div>
-                ))}
-              </>
-            )}
-          </div>
-        )}
-
-        {/* Export error */}
-        {exportError && (
-          <div style={{ marginTop: 10, padding: '8px 12px', background: 'var(--err-dim)', borderLeft: '3px solid var(--err)', borderRadius: 'var(--r)', fontSize: 12 }}>
-            Export failed: {exportError}
-          </div>
-        )}
-      </div>
+      <EnvFileSection />
 
       <EmptyState loading={isLoading} error={error?.message} />
-      {cfg && (
-        <div>
-          <div className="section-label" style={{ marginBottom: 8 }}>Runtime</div>
-          <div className="form-group">
-            <label className="form-label" htmlFor="cfg-redact-secrets" style={{ display: 'flex', alignItems: 'center', gap: 8 }}>
-              <input
-                id="cfg-redact-secrets"
-                type="checkbox"
-                checked={cfg.redact_secrets}
-                disabled={save.isPending}
-                onChange={(e) => handleBooleanSave('redact_secrets', e.target.checked)}
-              />
-              Redact secrets
-            </label>
-            {cfg.overridden_keys.includes('redact_secrets') && (
-              <div className="form-row">
-                <AdminButton size="sm" onClick={() => setPendingReset('redact_secrets')}>
-                  Reset
-                </AdminButton>
-              </div>
-            )}
-          </div>
 
-          <div className="form-group">
-            <label className="form-label" htmlFor="cfg-log-bodies" style={{ display: 'flex', alignItems: 'center', gap: 8 }}>
-              <input
-                id="cfg-log-bodies"
-                type="checkbox"
-                checked={cfg.log_bodies}
-                disabled={save.isPending}
-                onChange={(e) => handleBooleanSave('log_bodies', e.target.checked)}
-              />
-              Log bodies
-            </label>
-            {cfg.overridden_keys.includes('log_bodies') && (
-              <div className="form-row">
-                <AdminButton size="sm" onClick={() => setPendingReset('log_bodies')}>
-                  Reset
-                </AdminButton>
-              </div>
-            )}
-          </div>
+      {/* Runtime settings override form */}
+      {cfg && <RuntimeSettingsSection cfg={cfg} />}
 
-          <div className="form-group">
-            <label className="form-label" htmlFor="cfg-thinking-repair" style={{ display: 'flex', alignItems: 'center', gap: 8 }}>
-              <input
-                id="cfg-thinking-repair"
-                type="checkbox"
-                checked={cfg.anthropic_thinking_repair}
-                disabled={save.isPending}
-                onChange={(e) => handleBooleanSave('anthropic_thinking_repair', e.target.checked)}
-              />
-              Anthropic thinking-block repair
-            </label>
-            <div className="dim" style={{ fontSize: 12 }}>
-              Repairs corrupted thinking/redacted_thinking blocks in Anthropic passthrough
-              requests (applies to any backend running in BACKEND=anthropic passthrough mode,
-              including a named backend in a multi-backend config). Off by default.
-            </div>
-            {cfg.overridden_keys.includes('anthropic_thinking_repair') && (
-              <div className="form-row">
-                <AdminButton size="sm" onClick={() => setPendingReset('anthropic_thinking_repair')}>
-                  Reset
-                </AdminButton>
-              </div>
-            )}
-          </div>
-
-          <div className="form-group">
-            <label className="form-label" htmlFor="cfg-pxpipe-compress" style={{ display: 'flex', alignItems: 'center', gap: 8 }}>
-              <input
-                id="cfg-pxpipe-compress"
-                type="checkbox"
-                checked={cfg.pxpipe_compress}
-                disabled={save.isPending}
-                onChange={(e) => handleBooleanSave('pxpipe_compress', e.target.checked)}
-              />
-              Image context compression (pxpipe)
-            </label>
-            <div className="dim" style={{ fontSize: 12 }}>
-              Renders the stable system + tool-definition slab of Anthropic passthrough requests to a
-              PNG image block to save input tokens on vision models. Off by default. Enable per-model
-              below — only models that read imaged text reliably are offered.
-            </div>
-            {cfg.overridden_keys.includes('pxpipe_compress') && (
-              <div className="form-row">
-                <AdminButton size="sm" onClick={() => setPendingReset('pxpipe_compress')}>
-                  Reset
-                </AdminButton>
-              </div>
-            )}
-            {cfg.pxpipe_compress && (
-              <div style={{ marginTop: 8 }}>
-                <div className="form-label" style={{ fontSize: 13 }}>Models in scope (vision-capable)</div>
-                {cfg.pxpipe_available_models.length === 0 ? (
-                  <div className="dim" style={{ fontSize: 12 }}>No vision-capable models in the catalog.</div>
-                ) : (
-                  <div style={{ display: 'flex', flexWrap: 'wrap', gap: '4px 16px' }}>
-                    {cfg.pxpipe_available_models.map((model) => (
-                      <label key={model} style={{ display: 'flex', alignItems: 'center', gap: 6, fontSize: 12 }}>
-                        <input
-                          type="checkbox"
-                          checked={pxpipeModelChecked(model)}
-                          disabled={save.isPending}
-                          onChange={(e) => togglePxpipeModel(model, e.target.checked)}
-                        />
-                        {model}
-                      </label>
-                    ))}
-                  </div>
-                )}
-                {cfg.overridden_keys.includes('pxpipe_models') && (
-                  <div className="form-row" style={{ marginTop: 6 }}>
-                    <AdminButton size="sm" onClick={() => setPendingReset('pxpipe_models')}>
-                      Reset scope
-                    </AdminButton>
-                  </div>
-                )}
-              </div>
-            )}
-          </div>
-
-          <div className="form-group">
-            <label className="form-label" htmlFor="cfg-rtk-compress" style={{ display: 'flex', alignItems: 'center', gap: 8 }}>
-              <input
-                id="cfg-rtk-compress"
-                type="checkbox"
-                checked={cfg.rtk_compress}
-                disabled={save.isPending}
-                onChange={(e) => handleBooleanSave('rtk_compress', e.target.checked)}
-              />
-              Tool-output compression (RTK)
-            </label>
-            <div className="dim" style={{ fontSize: 12 }}>
-              Command-aware filtering of tool-result text (test/build/git/log output) using the RTK
-              filter catalog. Shrinks noisy machine output before it reaches the backend; deterministic
-              and cache-safe. Off by default. Applies to Anthropic passthrough and translate paths.
-            </div>
-            {cfg.overridden_keys.includes('rtk_compress') && (
-              <div className="form-row">
-                <AdminButton size="sm" onClick={() => setPendingReset('rtk_compress')}>
-                  Reset
-                </AdminButton>
-              </div>
-            )}
-            {cfg.rtk_compress && (
-              <div style={{ marginTop: 8 }}>
-                <div className="form-label" style={{ fontSize: 13 }}>Models in scope (CSV, empty = all)</div>
-                <input
-                  type="text"
-                  className="form-input"
-                  key={cfg.rtk_models}
-                  defaultValue={cfg.rtk_models}
-                  placeholder="empty = all models; e.g. claude, gpt-5"
-                  disabled={save.isPending}
-                  onBlur={(e) => {
-                    const v = e.target.value.trim()
-                    if (v === (cfg.rtk_models ?? '')) return
-                    save.mutate({ rtk_models: v })
-                  }}
-                />
-                {cfg.overridden_keys.includes('rtk_models') && (
-                  <div className="form-row" style={{ marginTop: 6 }}>
-                    <AdminButton size="sm" onClick={() => setPendingReset('rtk_models')}>
-                      Reset scope
-                    </AdminButton>
-                  </div>
-                )}
-              </div>
-            )}
-          </div>
-
-          <div className="form-group">
-            <label className="form-label" htmlFor="cfg-forward-client-auth" style={{ display: 'flex', alignItems: 'center', gap: 8 }}>
-              <input
-                id="cfg-forward-client-auth"
-                type="checkbox"
-                checked={cfg.forward_client_auth}
-                disabled={save.isPending}
-                onChange={(e) => handleBooleanSave('forward_client_auth', e.target.checked)}
-              />
-              Forward client credential (Anthropic passthrough)
-            </label>
-            <div className="dim" style={{ fontSize: 12 }}>
-              Forwards the client's own x-api-key/Authorization header upstream instead of the
-              operator's configured credential (BACKEND=anthropic passthrough only, single-key/BYOK
-              deployments). The proxy refuses to enable this with 2+ PROXY_API_KEYS entries and no
-              PROXY_OPEN_RELAY. Off by default.
-            </div>
-            {cfg.overridden_keys.includes('forward_client_auth') && (
-              <div className="form-row">
-                <AdminButton size="sm" onClick={() => setPendingReset('forward_client_auth')}>
-                  Reset
-                </AdminButton>
-              </div>
-            )}
-          </div>
-
-          <div className="form-group">
-            <label className="form-label" htmlFor="cfg-tool-guardrail-mode">Tool guardrail mode</label>
-            <div className="form-row">
-              <select
-                id="cfg-tool-guardrail-mode"
-                value={cfg.tool_guardrail_mode}
-                disabled={save.isPending}
-                onChange={(e) => save.mutate({ tool_guardrail_mode: e.target.value })}
-              >
-                <option value="disabled">Disabled</option>
-                <option value="standard">Standard</option>
-              </select>
-              {cfg.overridden_keys.includes('tool_guardrail_mode') && (
-                <AdminButton size="sm" onClick={() => setPendingReset('tool_guardrail_mode')}>
-                  Reset
-                </AdminButton>
-              )}
-            </div>
-            <div className="dim" style={{ fontSize: 12 }}>
-              Applies advisory guardrails to tool calls the proxy auto-executes. Disabled by default.
-            </div>
-          </div>
-
-          <div className="form-group">
-            <label className="form-label" htmlFor="cfg-optimizer-mode">Prompt compression (optimizer)</label>
-            <div className="form-row">
-              <select
-                id="cfg-optimizer-mode"
-                value={cfg.optimizer_mode}
-                // Gate enabling on the ONNX model when the tier is compiled in but the
-                // model isn't downloaded yet (point 2: "not toggle if not detected").
-                disabled={save.isPending || (!!model?.compiled_in && !model?.present)}
-                onChange={(e) => save.mutate({ optimizer_mode: e.target.value })}
-              >
-                <option value="off">Off</option>
-                <option value="shadow">Shadow (report only)</option>
-                <option value="live">Live (compress)</option>
-              </select>
-              {cfg.overridden_keys.includes('optimizer_mode') && (
-                <AdminButton size="sm" onClick={() => setPendingReset('optimizer_mode')}>
-                  Reset
-                </AdminButton>
-              )}
-            </div>
-            <div className="dim" style={{ fontSize: 12 }}>
-              Frozen-Frontier compression of long conversation history (latest turn untouched). Off by default.
-            </div>
-
-            {model && !model.compiled_in && (
-              <div className="dim" style={{ fontSize: 12, marginTop: 8 }}>
-                Heuristic scorer only. Rebuild the proxy with <code>--features optimizer-onnx</code> to enable the LLMLingua-2 ONNX scorer.
-              </div>
-            )}
-            {model?.compiled_in && !model.present && !model.downloading && (
-              <div className="form-row" style={{ marginTop: 8 }}>
-                <AdminButton
-                  size="sm"
-                  disabled={downloadModel.isPending}
-                  onClick={() => downloadModel.mutate()}
-                >
-                  Download model ({fmtMB(model.size_bytes)})
-                </AdminButton>
-                <span className="dim" style={{ fontSize: 12 }}>
-                  Required before enabling. Verified against a pinned sha256.
-                </span>
-              </div>
-            )}
-            {model?.downloading && (
-              <div className="dim" style={{ fontSize: 12, marginTop: 8 }}>
-                Downloading and verifying model ({fmtMB(model.size_bytes)})…
-              </div>
-            )}
-            {model?.error && !model.downloading && (
-              <div style={{ fontSize: 12, marginTop: 8, color: 'var(--danger, #c0392b)' }}>
-                Download failed: {model.error}
-              </div>
-            )}
-            {model?.compiled_in && model.present && (
-              <div className="dim" style={{ fontSize: 12, marginTop: 8 }}>
-                ONNX scorer ready — live mode uses LLMLingua-2 (loaded on the next request).
-              </div>
-            )}
-          </div>
-
-          {cfg.entries.filter((entry) => !['redact_secrets', 'log_bodies', 'anthropic_thinking_repair', 'pxpipe_compress', 'pxpipe_models', 'rtk_compress', 'rtk_models', 'forward_client_auth', 'tool_guardrail_mode', 'optimizer_mode'].includes(entry.key)).map((entry) => {
-            const inputId = `cfg-${entry.key}`
-            return (
-              <div className="form-group" key={entry.key}>
-                <label className="form-label" htmlFor={inputId}>{entry.key}</label>
-                <div className="form-row">
-                  <input
-                    id={inputId}
-                    name={entry.key}
-                    value={form[entry.key] ?? entry.value}
-                    onChange={(e) => setForm((f) => ({ ...f, [entry.key]: e.target.value }))}
-                  />
-                  <AdminButton tone="primary" size="sm" onClick={() => handleSave(entry.key, entry.value)}>Save</AdminButton>
-                  <AdminButton size="sm" onClick={() => setPendingReset(entry.key)}>Reset</AdminButton>
-                </div>
-              </div>
-            )
-          })}
-        </div>
-      )}
-      {envData && (
-        <div className="readonly-section" style={{ marginTop: 16 }}>
-          <div className="section-label">Environment</div>
-          <div style={{ display: 'grid', gridTemplateColumns: '220px 1fr', gap: '4px 12px', marginTop: 8, fontSize: 12 }}>
-            {Object.entries(envData).map(([k, v]) => (
-              <Fragment key={k}>
-                <span className="dim">{k}</span>
-                <span className="mono">{v}</span>
-              </Fragment>
-            ))}
-          </div>
-        </div>
-      )}
-
-      <ConfirmDialog
-        open={pendingReset !== null}
-        onClose={() => setPendingReset(null)}
-        onConfirm={doReset}
-        title="Reset override?"
-        message={
-          <>
-            Reset override for <span className="mono">{pendingReset}</span>? The runtime value will revert
-            to the env-file or default. Active connections are not affected.
-          </>
-        }
-        confirmLabel="Reset"
-        variant="primary"
-      />
+      {/* Environment grid */}
+      <EnvVariablesSection envData={envData} />
     </div>
   )
 }
diff --git a/crates/proxy/assets/model_pricing.json b/crates/proxy/assets/model_pricing.json
index e429a74..74fc4a2 100644
--- a/crates/proxy/assets/model_pricing.json
+++ b/crates/proxy/assets/model_pricing.json
@@ -875,6 +875,30 @@
     "output_cost_per_token": 3e-05,
     "provider": "openai"
   },
+  {
+    "model_pattern": "gpt-5.6",
+    "input_cost_per_token": 5e-06,
+    "output_cost_per_token": 3e-05,
+    "provider": "openai"
+  },
+  {
+    "model_pattern": "gpt-5.6-luna",
+    "input_cost_per_token": 1e-06,
+    "output_cost_per_token": 6e-06,
+    "provider": "openai"
+  },
+  {
+    "model_pattern": "gpt-5.6-sol",
+    "input_cost_per_token": 5e-06,
+    "output_cost_per_token": 3e-05,
+    "provider": "openai"
+  },
+  {
+    "model_pattern": "gpt-5.6-terra",
+    "input_cost_per_token": 2.5e-06,
+    "output_cost_per_token": 1.5e-05,
+    "provider": "openai"
+  },
   {
     "model_pattern": "gpt-audio",
     "input_cost_per_token": 2.5e-06,
@@ -929,6 +953,18 @@
     "output_cost_per_token": 1.6e-05,
     "provider": "openai"
   },
+  {
+    "model_pattern": "gpt-realtime-2.1",
+    "input_cost_per_token": 4e-06,
+    "output_cost_per_token": 2.4e-05,
+    "provider": "openai"
+  },
+  {
+    "model_pattern": "gpt-realtime-2.1-mini",
+    "input_cost_per_token": 6e-07,
+    "output_cost_per_token": 2.4e-06,
+    "provider": "openai"
+  },
   {
     "model_pattern": "gpt-realtime-2025-08-28",
     "input_cost_per_token": 4e-06,
diff --git a/crates/proxy/src/admin/db/routes.rs b/crates/proxy/src/admin/db/routes.rs
index e4df1fe..ce9b9ab 100644
--- a/crates/proxy/src/admin/db/routes.rs
+++ b/crates/proxy/src/admin/db/routes.rs
@@ -458,212 +458,5 @@ pub fn reorder_route_providers(
 }
 
 #[cfg(test)]
-mod tests {
-    use super::*;
-    use crate::admin::db::backends::ManagedBackendRow;
-
-    fn in_memory_db() -> Connection {
-        let conn = Connection::open_in_memory().unwrap();
-        super::super::init_db(&conn).unwrap();
-        conn
-    }
-
-    fn test_row(name: &str) -> ManagedBackendRow {
-        ManagedBackendRow {
-            id: format!("id-{name}"),
-            name: name.to_string(),
-            provider_id: "openai".to_string(),
-            api_key: Some("sk-test".to_string()),
-            api_base: None,
-            deployment: None,
-            api_version: None,
-            project: None,
-            region: None,
-            aws_access_key_id: None,
-            aws_secret_access_key: None,
-            aws_session_token: None,
-            rpm: Some(100),
-            tpm: Some(10_000),
-            enabled: true,
-            created_at: "2026-01-01T00:00:00Z".to_string(),
-            updated_at: "2026-01-01T00:00:00Z".to_string(),
-        }
-    }
-
-    fn seed_route_with_providers(conn: &Connection, count: usize) -> (String, Vec<String>) {
-        let route = RouteRow {
-            id: uuid::Uuid::new_v4().to_string(),
-            name: "r".into(),
-            description: None,
-            strategy: "failover".into(),
-            rpm: None,
-            tpm: None,
-            budget_usd: None,
-            enabled: true,
-            guardrail_mode: None,
-            pxpipe_compress: None,
-            pxpipe_models: None,
-            redact_secrets: None,
-            position: 0,
-            created_at: now_iso8601(),
-            updated_at: now_iso8601(),
-        };
-        insert_route(conn, &route).unwrap();
-
-        for i in 0..count {
-            let mut b = test_row(&format!("b{i}"));
-            b.id = format!("backend-{i}");
-            crate::admin::db::backends::insert_managed_backend(conn, &b).unwrap();
-            add_route_provider(conn, &route.id, &b.id, &["*".to_string()], i as i32, true).unwrap();
-        }
-
-        let ids: Vec<String> = list_route_providers(conn, &route.id)
-            .unwrap()
-            .into_iter()
-            .map(|p| p.id)
-            .collect();
-        (route.id, ids)
-    }
-
-    #[test]
-    fn update_route_sets_and_clears_option_override() {
-        let conn = in_memory_db();
-        let (route_id, _) = seed_route_with_providers(&conn, 1);
-
-        // Set an override.
-        let set = RoutePatch {
-            name: None,
-            description: None,
-            strategy: None,
-            rpm: None,
-            tpm: None,
-            budget_usd: None,
-            enabled: Some(false),
-            guardrail_mode: Some(Some("standard".into())),
-            pxpipe_compress: Some(Some(true)),
-            pxpipe_models: None,
-            redact_secrets: None,
-            position: None,
-        };
-        assert!(update_route(&conn, &route_id, &set).unwrap());
-        let r = get_route(&conn, &route_id).unwrap().unwrap();
-        assert!(!r.enabled);
-        assert_eq!(r.guardrail_mode.as_deref(), Some("standard"));
-        assert_eq!(r.pxpipe_compress, Some(true));
-
-        // Clear the override back to NULL (inherit).
-        let clear = RoutePatch {
-            name: None,
-            description: None,
-            strategy: None,
-            rpm: None,
-            tpm: None,
-            budget_usd: None,
-            enabled: None,
-            guardrail_mode: Some(None),
-            pxpipe_compress: Some(None),
-            pxpipe_models: None,
-            redact_secrets: None,
-            position: None,
-        };
-        assert!(update_route(&conn, &route_id, &clear).unwrap());
-        let r = get_route(&conn, &route_id).unwrap().unwrap();
-        assert_eq!(r.guardrail_mode, None);
-        assert_eq!(r.pxpipe_compress, None);
-        // enabled was left unchanged (None) — still false.
-        assert!(!r.enabled);
-    }
-
-    #[test]
-    fn disabled_route_excluded_from_enabled_route_ids() {
-        let conn = in_memory_db();
-        let (route_id, _) = seed_route_with_providers(&conn, 1);
-        // The seeded backend is "b0"; while enabled the route id is returned.
-        assert_eq!(
-            enabled_route_ids_for_backend_name(&conn, "b0").unwrap(),
-            vec![route_id.clone()]
-        );
-
-        // Disable the route -> it drops out of the virtual-key scope query.
-        let patch = RoutePatch {
-            name: None,
-            description: None,
-            strategy: None,
-            rpm: None,
-            tpm: None,
-            budget_usd: None,
-            enabled: Some(false),
-            guardrail_mode: None,
-            pxpipe_compress: None,
-            pxpipe_models: None,
-            redact_secrets: None,
-            position: None,
-        };
-        assert!(update_route(&conn, &route_id, &patch).unwrap());
-        assert!(enabled_route_ids_for_backend_name(&conn, "b0")
-            .unwrap()
-            .is_empty());
-    }
-
-    #[test]
-    fn reorder_route_providers_rewrites_priorities() {
-        let conn = in_memory_db();
-        let (route_id, ids) = seed_route_with_providers(&conn, 3);
-
-        // Reverse the order.
-        let reversed: Vec<String> = ids.iter().rev().cloned().collect();
-        let outcome = reorder_route_providers(&conn, &route_id, &reversed).unwrap();
-
-        match outcome {
-            ReorderOutcome::Ok(rows) => {
-                let new_order: Vec<String> = rows.iter().map(|p| p.id.clone()).collect();
-                assert_eq!(new_order, reversed);
-                for (i, row) in rows.iter().enumerate() {
-                    assert_eq!(row.priority, i as i32);
-                }
-            }
-            ReorderOutcome::Mismatch => panic!("expected Ok"),
-        }
-    }
-
-    #[test]
-    fn reorder_route_providers_mismatch_rolls_back() {
-        let conn = in_memory_db();
-        let (route_id, ids) = seed_route_with_providers(&conn, 3);
-
-        // Submit a subset — should be rejected as Mismatch, priorities unchanged.
-        let partial: Vec<String> = ids.iter().take(2).cloned().collect();
-        let outcome = reorder_route_providers(&conn, &route_id, &partial).unwrap();
-        assert!(matches!(outcome, ReorderOutcome::Mismatch));
-
-        // Priorities must be untouched.
-        let rows = list_route_providers(&conn, &route_id).unwrap();
-        for (i, row) in rows.iter().enumerate() {
-            assert_eq!(
-                row.priority, i as i32,
-                "priorities must be unchanged after Mismatch"
-            );
-        }
-    }
-
-    #[test]
-    fn reorder_route_providers_rejects_duplicates_and_extras() {
-        let conn = in_memory_db();
-        let (route_id, ids) = seed_route_with_providers(&conn, 3);
-
-        // Duplicate id.
-        let dup = vec![ids[0].clone(), ids[0].clone(), ids[1].clone()];
-        assert!(matches!(
-            reorder_route_providers(&conn, &route_id, &dup).unwrap(),
-            ReorderOutcome::Mismatch
-        ));
-
-        // Extra id that isn't a provider on this route.
-        let mut extra = ids.clone();
-        extra.push("bogus-id".into());
-        assert!(matches!(
-            reorder_route_providers(&conn, &route_id, &extra).unwrap(),
-            ReorderOutcome::Mismatch
-        ));
-    }
-}
+#[path = "routes/tests.rs"]
+mod tests;
diff --git a/crates/proxy/src/admin/db/routes/tests.rs b/crates/proxy/src/admin/db/routes/tests.rs
new file mode 100644
index 0000000..2970e63
--- /dev/null
+++ b/crates/proxy/src/admin/db/routes/tests.rs
@@ -0,0 +1,207 @@
+use super::*;
+use crate::admin::db::backends::ManagedBackendRow;
+
+fn in_memory_db() -> Connection {
+    let conn = Connection::open_in_memory().unwrap();
+    super::super::init_db(&conn).unwrap();
+    conn
+}
+
+fn test_row(name: &str) -> ManagedBackendRow {
+    ManagedBackendRow {
+        id: format!("id-{name}"),
+        name: name.to_string(),
+        provider_id: "openai".to_string(),
+        api_key: Some("sk-test".to_string()),
+        api_base: None,
+        deployment: None,
+        api_version: None,
+        project: None,
+        region: None,
+        aws_access_key_id: None,
+        aws_secret_access_key: None,
+        aws_session_token: None,
+        rpm: Some(100),
+        tpm: Some(10_000),
+        enabled: true,
+        created_at: "2026-01-01T00:00:00Z".to_string(),
+        updated_at: "2026-01-01T00:00:00Z".to_string(),
+    }
+}
+
+fn seed_route_with_providers(conn: &Connection, count: usize) -> (String, Vec<String>) {
+    let route = RouteRow {
+        id: uuid::Uuid::new_v4().to_string(),
+        name: "r".into(),
+        description: None,
+        strategy: "failover".into(),
+        rpm: None,
+        tpm: None,
+        budget_usd: None,
+        enabled: true,
+        guardrail_mode: None,
+        pxpipe_compress: None,
+        pxpipe_models: None,
+        redact_secrets: None,
+        position: 0,
+        created_at: now_iso8601(),
+        updated_at: now_iso8601(),
+    };
+    insert_route(conn, &route).unwrap();
+
+    for i in 0..count {
+        let mut b = test_row(&format!("b{i}"));
+        b.id = format!("backend-{i}");
+        crate::admin::db::backends::insert_managed_backend(conn, &b).unwrap();
+        add_route_provider(conn, &route.id, &b.id, &["*".to_string()], i as i32, true).unwrap();
+    }
+
+    let ids: Vec<String> = list_route_providers(conn, &route.id)
+        .unwrap()
+        .into_iter()
+        .map(|p| p.id)
+        .collect();
+    (route.id, ids)
+}
+
+#[test]
+fn update_route_sets_and_clears_option_override() {
+    let conn = in_memory_db();
+    let (route_id, _) = seed_route_with_providers(&conn, 1);
+
+    // Set an override.
+    let set = RoutePatch {
+        name: None,
+        description: None,
+        strategy: None,
+        rpm: None,
+        tpm: None,
+        budget_usd: None,
+        enabled: Some(false),
+        guardrail_mode: Some(Some("standard".into())),
+        pxpipe_compress: Some(Some(true)),
+        pxpipe_models: None,
+        redact_secrets: None,
+        position: None,
+    };
+    assert!(update_route(&conn, &route_id, &set).unwrap());
+    let r = get_route(&conn, &route_id).unwrap().unwrap();
+    assert!(!r.enabled);
+    assert_eq!(r.guardrail_mode.as_deref(), Some("standard"));
+    assert_eq!(r.pxpipe_compress, Some(true));
+
+    // Clear the override back to NULL (inherit).
+    let clear = RoutePatch {
+        name: None,
+        description: None,
+        strategy: None,
+        rpm: None,
+        tpm: None,
+        budget_usd: None,
+        enabled: None,
+        guardrail_mode: Some(None),
+        pxpipe_compress: Some(None),
+        pxpipe_models: None,
+        redact_secrets: None,
+        position: None,
+    };
+    assert!(update_route(&conn, &route_id, &clear).unwrap());
+    let r = get_route(&conn, &route_id).unwrap().unwrap();
+    assert_eq!(r.guardrail_mode, None);
+    assert_eq!(r.pxpipe_compress, None);
+    // enabled was left unchanged (None) — still false.
+    assert!(!r.enabled);
+}
+
+#[test]
+fn disabled_route_excluded_from_enabled_route_ids() {
+    let conn = in_memory_db();
+    let (route_id, _) = seed_route_with_providers(&conn, 1);
+    // The seeded backend is "b0"; while enabled the route id is returned.
+    assert_eq!(
+        enabled_route_ids_for_backend_name(&conn, "b0").unwrap(),
+        vec![route_id.clone()]
+    );
+
+    // Disable the route -> it drops out of the virtual-key scope query.
+    let patch = RoutePatch {
+        name: None,
+        description: None,
+        strategy: None,
+        rpm: None,
+        tpm: None,
+        budget_usd: None,
+        enabled: Some(false),
+        guardrail_mode: None,
+        pxpipe_compress: None,
+        pxpipe_models: None,
+        redact_secrets: None,
+        position: None,
+    };
+    assert!(update_route(&conn, &route_id, &patch).unwrap());
+    assert!(enabled_route_ids_for_backend_name(&conn, "b0")
+        .unwrap()
+        .is_empty());
+}
+
+#[test]
+fn reorder_route_providers_rewrites_priorities() {
+    let conn = in_memory_db();
+    let (route_id, ids) = seed_route_with_providers(&conn, 3);
+
+    // Reverse the order.
+    let reversed: Vec<String> = ids.iter().rev().cloned().collect();
+    let outcome = reorder_route_providers(&conn, &route_id, &reversed).unwrap();
+
+    match outcome {
+        ReorderOutcome::Ok(rows) => {
+            let new_order: Vec<String> = rows.iter().map(|p| p.id.clone()).collect();
+            assert_eq!(new_order, reversed);
+            for (i, row) in rows.iter().enumerate() {
+                assert_eq!(row.priority, i as i32);
+            }
+        }
+        ReorderOutcome::Mismatch => panic!("expected Ok"),
+    }
+}
+
+#[test]
+fn reorder_route_providers_mismatch_rolls_back() {
+    let conn = in_memory_db();
+    let (route_id, ids) = seed_route_with_providers(&conn, 3);
+
+    // Submit a subset — should be rejected as Mismatch, priorities unchanged.
+    let partial: Vec<String> = ids.iter().take(2).cloned().collect();
+    let outcome = reorder_route_providers(&conn, &route_id, &partial).unwrap();
+    assert!(matches!(outcome, ReorderOutcome::Mismatch));
+
+    // Priorities must be untouched.
+    let rows = list_route_providers(&conn, &route_id).unwrap();
+    for (i, row) in rows.iter().enumerate() {
+        assert_eq!(
+            row.priority, i as i32,
+            "priorities must be unchanged after Mismatch"
+        );
+    }
+}
+
+#[test]
+fn reorder_route_providers_rejects_duplicates_and_extras() {
+    let conn = in_memory_db();
+    let (route_id, ids) = seed_route_with_providers(&conn, 3);
+
+    // Duplicate id.
+    let dup = vec![ids[0].clone(), ids[0].clone(), ids[1].clone()];
+    assert!(matches!(
+        reorder_route_providers(&conn, &route_id, &dup).unwrap(),
+        ReorderOutcome::Mismatch
+    ));
+
+    // Extra id that isn't a provider on this route.
+    let mut extra = ids.clone();
+    extra.push("bogus-id".into());
+    assert!(matches!(
+        reorder_route_providers(&conn, &route_id, &extra).unwrap(),
+        ReorderOutcome::Mismatch
+    ));
+}
diff --git a/crates/proxy/src/admin/routes/config.rs b/crates/proxy/src/admin/routes/config.rs
index 57aec41..5fdee23 100644
--- a/crates/proxy/src/admin/routes/config.rs
+++ b/crates/proxy/src/admin/routes/config.rs
@@ -7,75 +7,6 @@ use axum::{
 };
 use std::net::SocketAddr;
 
-/// GET /admin/api/env -- effective environment variable values.
-/// Secrets (API keys, tokens) are masked; plain config values are shown as-is.
-pub(super) async fn get_env() -> Json<serde_json::Value> {
-    fn plain(key: &str) -> serde_json::Value {
-        match std::env::var(key) {
-            Ok(v) if !v.is_empty() => serde_json::Value::String(v),
-            _ => serde_json::Value::Null,
-        }
-    }
-    fn secret(key: &str) -> serde_json::Value {
-        match std::env::var(key) {
-            Ok(v) if !v.is_empty() => {
-                serde_json::Value::String(anyllm_translate::util::redact::redact_secret(&v))
-            }
-            _ => serde_json::Value::Null,
-        }
-    }
-
-    Json(serde_json::json!({
-        // Core proxy config
-        "BACKEND":            plain("BACKEND"),
-        "LISTEN_PORT":        plain("LISTEN_PORT"),
-        "BIG_MODEL":          plain("BIG_MODEL"),
-        "SMALL_MODEL":        plain("SMALL_MODEL"),
-        "RUST_LOG":           plain("RUST_LOG"),
-        "LOG_BODIES":         plain("LOG_BODIES"),
-        "REDACT_SECRETS":     plain("REDACT_SECRETS"),
-        "PROXY_CONFIG":       plain("PROXY_CONFIG"),
-        // OpenAI / compatible
-        "OPENAI_BASE_URL":    plain("OPENAI_BASE_URL"),
-        "OPENAI_API_FORMAT":  plain("OPENAI_API_FORMAT"),
-        "OPENAI_API_KEY":     secret("OPENAI_API_KEY"),
-        // Vertex AI
-        "VERTEX_PROJECT":     plain("VERTEX_PROJECT"),
-        "VERTEX_REGION":      plain("VERTEX_REGION"),
-        "VERTEX_API_KEY":     secret("VERTEX_API_KEY"),
-        // Gemini
-        "GEMINI_BASE_URL":    plain("GEMINI_BASE_URL"),
-        "GEMINI_API_KEY":     secret("GEMINI_API_KEY"),
-        // Azure OpenAI
-        "AZURE_OPENAI_ENDPOINT":    plain("AZURE_OPENAI_ENDPOINT"),
-        "AZURE_OPENAI_DEPLOYMENT":  plain("AZURE_OPENAI_DEPLOYMENT"),
-        "AZURE_OPENAI_API_KEY":     secret("AZURE_OPENAI_API_KEY"),
-        "AZURE_OPENAI_API_VERSION": plain("AZURE_OPENAI_API_VERSION"),
-        // AWS Bedrock
-        "AWS_REGION":               plain("AWS_REGION"),
-        "AWS_ACCESS_KEY_ID":        secret("AWS_ACCESS_KEY_ID"),
-        "AWS_SECRET_ACCESS_KEY":    secret("AWS_SECRET_ACCESS_KEY"),
-        "AWS_SESSION_TOKEN":        secret("AWS_SESSION_TOKEN"),
-        // Google OAuth bearer token (full token — treat as secret)
-        "GOOGLE_ACCESS_TOKEN":      secret("GOOGLE_ACCESS_TOKEN"),
-        // Auth
-        "PROXY_API_KEYS":     secret("PROXY_API_KEYS"),
-        "PROXY_OPEN_RELAY":   plain("PROXY_OPEN_RELAY"),
-        // TLS
-        "TLS_CLIENT_CERT_P12": plain("TLS_CLIENT_CERT_P12"),
-        "TLS_CA_CERT":         plain("TLS_CA_CERT"),
-        // Network / security
-        "IP_ALLOWLIST":           plain("IP_ALLOWLIST"),
-        "TRUST_PROXY_HEADERS":    plain("TRUST_PROXY_HEADERS"),
-        "WEBHOOK_URLS":           plain("WEBHOOK_URLS"),
-        "RATE_LIMIT_FAIL_POLICY": plain("RATE_LIMIT_FAIL_POLICY"),
-        // Admin
-        "ADMIN_PORT":               plain("ADMIN_PORT"),
-        "ADMIN_DB_PATH":            plain("ADMIN_DB_PATH"),
-        "ADMIN_LOG_RETENTION_DAYS": plain("ADMIN_LOG_RETENTION_DAYS"),
-    }))
-}
-
 /// GET /admin/api/config -- effective config (env defaults + overrides).
 pub(super) async fn get_config(State(shared): State<SharedState>) -> Json<serde_json::Value> {
     // Clone config snapshot and drop the read guard before any .await points.
diff --git a/crates/proxy/src/admin/routes/env.rs b/crates/proxy/src/admin/routes/env.rs
index c068475..44235d5 100644
--- a/crates/proxy/src/admin/routes/env.rs
+++ b/crates/proxy/src/admin/routes/env.rs
@@ -17,6 +17,75 @@ use axum::{
 use serde::Serialize;
 use std::net::SocketAddr;
 
+/// GET /admin/api/env -- effective environment variable values.
+/// Secrets (API keys, tokens) are masked; plain config values are shown as-is.
+pub(super) async fn get_env() -> Json<serde_json::Value> {
+    fn plain(key: &str) -> serde_json::Value {
+        match std::env::var(key) {
+            Ok(v) if !v.is_empty() => serde_json::Value::String(v),
+            _ => serde_json::Value::Null,
+        }
+    }
+    fn secret(key: &str) -> serde_json::Value {
+        match std::env::var(key) {
+            Ok(v) if !v.is_empty() => {
+                serde_json::Value::String(anyllm_translate::util::redact::redact_secret(&v))
+            }
+            _ => serde_json::Value::Null,
+        }
+    }
+
+    Json(serde_json::json!({
+        // Core proxy config
+        "BACKEND":            plain("BACKEND"),
+        "LISTEN_PORT":        plain("LISTEN_PORT"),
+        "BIG_MODEL":          plain("BIG_MODEL"),
+        "SMALL_MODEL":        plain("SMALL_MODEL"),
+        "RUST_LOG":           plain("RUST_LOG"),
+        "LOG_BODIES":         plain("LOG_BODIES"),
+        "REDACT_SECRETS":     plain("REDACT_SECRETS"),
+        "PROXY_CONFIG":       plain("PROXY_CONFIG"),
+        // OpenAI / compatible
+        "OPENAI_BASE_URL":    plain("OPENAI_BASE_URL"),
+        "OPENAI_API_FORMAT":  plain("OPENAI_API_FORMAT"),
+        "OPENAI_API_KEY":     secret("OPENAI_API_KEY"),
+        // Vertex AI
+        "VERTEX_PROJECT":     plain("VERTEX_PROJECT"),
+        "VERTEX_REGION":      plain("VERTEX_REGION"),
+        "VERTEX_API_KEY":     secret("VERTEX_API_KEY"),
+        // Gemini
+        "GEMINI_BASE_URL":    plain("GEMINI_BASE_URL"),
+        "GEMINI_API_KEY":     secret("GEMINI_API_KEY"),
+        // Azure OpenAI
+        "AZURE_OPENAI_ENDPOINT":    plain("AZURE_OPENAI_ENDPOINT"),
+        "AZURE_OPENAI_DEPLOYMENT":  plain("AZURE_OPENAI_DEPLOYMENT"),
+        "AZURE_OPENAI_API_KEY":     secret("AZURE_OPENAI_API_KEY"),
+        "AZURE_OPENAI_API_VERSION": plain("AZURE_OPENAI_API_VERSION"),
+        // AWS Bedrock
+        "AWS_REGION":               plain("AWS_REGION"),
+        "AWS_ACCESS_KEY_ID":        secret("AWS_ACCESS_KEY_ID"),
+        "AWS_SECRET_ACCESS_KEY":    secret("AWS_SECRET_ACCESS_KEY"),
+        "AWS_SESSION_TOKEN":        secret("AWS_SESSION_TOKEN"),
+        // Google OAuth bearer token (full token — treat as secret)
+        "GOOGLE_ACCESS_TOKEN":      secret("GOOGLE_ACCESS_TOKEN"),
+        // Auth
+        "PROXY_API_KEYS":     secret("PROXY_API_KEYS"),
+        "PROXY_OPEN_RELAY":   plain("PROXY_OPEN_RELAY"),
+        // TLS
+        "TLS_CLIENT_CERT_P12": plain("TLS_CLIENT_CERT_P12"),
+        "TLS_CA_CERT":         plain("TLS_CA_CERT"),
+        // Network / security
+        "IP_ALLOWLIST":           plain("IP_ALLOWLIST"),
+        "TRUST_PROXY_HEADERS":    plain("TRUST_PROXY_HEADERS"),
+        "WEBHOOK_URLS":           plain("WEBHOOK_URLS"),
+        "RATE_LIMIT_FAIL_POLICY": plain("RATE_LIMIT_FAIL_POLICY"),
+        // Admin
+        "ADMIN_PORT":               plain("ADMIN_PORT"),
+        "ADMIN_DB_PATH":            plain("ADMIN_DB_PATH"),
+        "ADMIN_LOG_RETENTION_DAYS": plain("ADMIN_LOG_RETENTION_DAYS"),
+    }))
+}
+
 /// Maximum accepted upload size for an env file. Env files are tiny;
 /// anything larger is almost certainly the wrong file type.
 /// The router already enforces a 1 MB body limit; this is a tighter application-level check.
diff --git a/crates/proxy/src/admin/routes/mod.rs b/crates/proxy/src/admin/routes/mod.rs
index 9eb01a1..d2171d9 100644
--- a/crates/proxy/src/admin/routes/mod.rs
+++ b/crates/proxy/src/admin/routes/mod.rs
@@ -83,7 +83,7 @@ pub fn admin_router(shared: SharedState, token: Arc<zeroize::Zeroizing<String>>)
             "/admin/api/config/overrides/{key}",
             delete(config::delete_config_override),
         )
-        .route("/admin/api/env", get(config::get_env))
+        .route("/admin/api/env", get(env::get_env))
         .route("/admin/api/env/import", post(env::import_env))
         .route("/admin/api/env/export", get(env::export_env))
         .route("/admin/api/metrics", get(logs::get_metrics))
diff --git a/crates/proxy/src/admin/routes/models.rs b/crates/proxy/src/admin/routes/models.rs
index a458034..b42abba 100644
--- a/crates/proxy/src/admin/routes/models.rs
+++ b/crates/proxy/src/admin/routes/models.rs
@@ -495,103 +495,5 @@ fn ensure_local_discover_host(parsed: &url::Url) -> Result<(), String> {
 }
 
 #[cfg(test)]
-mod tests {
-    use super::*;
-
-    fn custom_request(url: &str) -> DiscoverRequest {
-        DiscoverRequest {
-            source: "custom".to_string(),
-            url: Some(url.to_string()),
-            provider_id: None,
-            api_key: None,
-        }
-    }
-
-    #[test]
-    fn custom_discover_rejects_loopback_url() {
-        let err = resolve_discover_target(&custom_request("http://127.0.0.1:11434"), false)
-            .expect_err("loopback custom discovery URL must be rejected");
-
-        assert!(err.contains("private/loopback"));
-    }
-
-    #[test]
-    fn custom_discover_rejects_file_scheme() {
-        let err = resolve_discover_target(&custom_request("file:///tmp/anyllm"), false)
-            .expect_err("non-http custom discovery URL must be rejected");
-
-        assert!(err.contains("scheme"));
-    }
-
-    #[test]
-    fn custom_discover_accepts_https_url_and_appends_models() {
-        let (url, api_key) = resolve_discover_target(&custom_request("https://1.1.1.1"), false)
-            .expect("public HTTPS custom discovery URL should be accepted");
-
-        assert_eq!(url, "https://1.1.1.1/v1/models");
-        assert_eq!(api_key, None);
-    }
-
-    #[test]
-    fn custom_discover_accepts_existing_models_suffix() {
-        let (url, api_key) =
-            resolve_discover_target(&custom_request("https://1.1.1.1/v1/models"), false)
-                .expect("public HTTPS custom discovery URL should be accepted");
-
-        assert_eq!(url, "https://1.1.1.1/v1/models");
-        assert_eq!(api_key, None);
-    }
-
-    #[test]
-    fn custom_discover_does_not_double_v1_suffix() {
-        // Local-provider catalog defaults already end in /v1; don't produce /v1/v1/models.
-        let (url, _) =
-            resolve_discover_target(&custom_request("http://192.168.1.72:4444/v1"), true)
-                .expect("local LAN /v1 discovery URL should be accepted when allow_local");
-        assert_eq!(url, "http://192.168.1.72:4444/v1/models");
-
-        // Trailing slash on a /v1 base collapses the same way.
-        let (url, _) =
-            resolve_discover_target(&custom_request("http://192.168.1.72:4444/v1/"), true)
-                .expect("trailing-slash /v1 discovery URL should be accepted when allow_local");
-        assert_eq!(url, "http://192.168.1.72:4444/v1/models");
-    }
-
-    #[test]
-    fn custom_discover_local_allows_loopback_but_keeps_scheme_check() {
-        // allow_local=true: loopback is accepted (LM Studio/Ollama on localhost)...
-        let (url, _) = resolve_discover_target(&custom_request("http://127.0.0.1:1234"), true)
-            .expect("local loopback discovery URL should be accepted when allow_local");
-        assert_eq!(url, "http://127.0.0.1:1234/v1/models");
-
-        // ...but a non-http scheme is still rejected.
-        let err = resolve_discover_target(&custom_request("file:///tmp/anyllm"), true)
-            .expect_err("non-http scheme must be rejected even when allow_local");
-        assert!(err.contains("scheme"));
-    }
-
-    #[test]
-    fn custom_discover_threads_api_key() {
-        let mut req = custom_request("http://192.168.1.72:4444");
-        req.api_key = Some("sk-local".to_string());
-        let (_, api_key) = resolve_discover_target(&req, true)
-            .expect("local LAN discovery URL should be accepted when allow_local");
-        assert_eq!(api_key.as_deref(), Some("sk-local"));
-    }
-
-    #[test]
-    fn custom_discover_local_rejects_public_and_metadata_hosts() {
-        // allow_local must NOT permit public hosts (would be a general outbound fetch).
-        let err = resolve_discover_target(&custom_request("http://1.1.1.1/v1"), true)
-            .expect_err("public IP must be rejected even when allow_local");
-        assert!(err.contains("loopback/LAN"));
-        // Cloud-metadata / link-local stay blocked here too.
-        let err = resolve_discover_target(&custom_request("http://169.254.169.254/"), true)
-            .expect_err("metadata IP must be rejected even when allow_local");
-        assert!(err.contains("loopback/LAN"));
-        // A bare host name that isn't `localhost` cannot be verified as local.
-        let err = resolve_discover_target(&custom_request("http://evil.example.com/"), true)
-            .expect_err("non-local host name must be rejected when allow_local");
-        assert!(err.contains("loopback/LAN"));
-    }
-}
+#[path = "models/tests.rs"]
+mod tests;
diff --git a/crates/proxy/src/admin/routes/models/tests.rs b/crates/proxy/src/admin/routes/models/tests.rs
new file mode 100644
index 0000000..4bbac93
--- /dev/null
+++ b/crates/proxy/src/admin/routes/models/tests.rs
@@ -0,0 +1,96 @@
+use super::*;
+
+fn custom_request(url: &str) -> DiscoverRequest {
+    DiscoverRequest {
+        source: "custom".to_string(),
+        url: Some(url.to_string()),
+        provider_id: None,
+        api_key: None,
+    }
+}
+
+#[test]
+fn custom_discover_rejects_loopback_url() {
+    let err = resolve_discover_target(&custom_request("http://127.0.0.1:11434"), false)
+        .expect_err("loopback custom discovery URL must be rejected");
+
+    assert!(err.contains("private/loopback"));
+}
+
+#[test]
+fn custom_discover_rejects_file_scheme() {
+    let err = resolve_discover_target(&custom_request("file:///tmp/anyllm"), false)
+        .expect_err("non-http custom discovery URL must be rejected");
+
+    assert!(err.contains("scheme"));
+}
+
+#[test]
+fn custom_discover_accepts_https_url_and_appends_models() {
+    let (url, api_key) = resolve_discover_target(&custom_request("https://1.1.1.1"), false)
+        .expect("public HTTPS custom discovery URL should be accepted");
+
+    assert_eq!(url, "https://1.1.1.1/v1/models");
+    assert_eq!(api_key, None);
+}
+
+#[test]
+fn custom_discover_accepts_existing_models_suffix() {
+    let (url, api_key) =
+        resolve_discover_target(&custom_request("https://1.1.1.1/v1/models"), false)
+            .expect("public HTTPS custom discovery URL should be accepted");
+
+    assert_eq!(url, "https://1.1.1.1/v1/models");
+    assert_eq!(api_key, None);
+}
+
+#[test]
+fn custom_discover_does_not_double_v1_suffix() {
+    // Local-provider catalog defaults already end in /v1; don't produce /v1/v1/models.
+    let (url, _) = resolve_discover_target(&custom_request("http://192.168.1.72:4444/v1"), true)
+        .expect("local LAN /v1 discovery URL should be accepted when allow_local");
+    assert_eq!(url, "http://192.168.1.72:4444/v1/models");
+
+    // Trailing slash on a /v1 base collapses the same way.
+    let (url, _) = resolve_discover_target(&custom_request("http://192.168.1.72:4444/v1/"), true)
+        .expect("trailing-slash /v1 discovery URL should be accepted when allow_local");
+    assert_eq!(url, "http://192.168.1.72:4444/v1/models");
+}
+
+#[test]
+fn custom_discover_local_allows_loopback_but_keeps_scheme_check() {
+    // allow_local=true: loopback is accepted (LM Studio/Ollama on localhost)...
+    let (url, _) = resolve_discover_target(&custom_request("http://127.0.0.1:1234"), true)
+        .expect("local loopback discovery URL should be accepted when allow_local");
+    assert_eq!(url, "http://127.0.0.1:1234/v1/models");
+
+    // ...but a non-http scheme is still rejected.
+    let err = resolve_discover_target(&custom_request("file:///tmp/anyllm"), true)
+        .expect_err("non-http scheme must be rejected even when allow_local");
+    assert!(err.contains("scheme"));
+}
+
+#[test]
+fn custom_discover_threads_api_key() {
+    let mut req = custom_request("http://192.168.1.72:4444");
+    req.api_key = Some("sk-local".to_string());
+    let (_, api_key) = resolve_discover_target(&req, true)
+        .expect("local LAN discovery URL should be accepted when allow_local");
+    assert_eq!(api_key.as_deref(), Some("sk-local"));
+}
+
+#[test]
+fn custom_discover_local_rejects_public_and_metadata_hosts() {
+    // allow_local must NOT permit public hosts (would be a general outbound fetch).
+    let err = resolve_discover_target(&custom_request("http://1.1.1.1/v1"), true)
+        .expect_err("public IP must be rejected even when allow_local");
+    assert!(err.contains("loopback/LAN"));
+    // Cloud-metadata / link-local stay blocked here too.
+    let err = resolve_discover_target(&custom_request("http://169.254.169.254/"), true)
+        .expect_err("metadata IP must be rejected even when allow_local");
+    assert!(err.contains("loopback/LAN"));
+    // A bare host name that isn't `localhost` cannot be verified as local.
+    let err = resolve_discover_target(&custom_request("http://evil.example.com/"), true)
+        .expect_err("non-local host name must be rejected when allow_local");
+    assert!(err.contains("loopback/LAN"));
+}
diff --git a/crates/proxy/src/cache/config.rs b/crates/proxy/src/cache/config.rs
new file mode 100644
index 0000000..1e7a0eb
--- /dev/null
+++ b/crates/proxy/src/cache/config.rs
@@ -0,0 +1,42 @@
+/// Configuration for the cache subsystem.
+#[derive(Debug, Clone)]
+pub struct CacheConfig {
+    /// Default TTL in seconds for cached responses.
+    pub ttl_secs: u64,
+    /// Maximum number of entries in the in-memory cache.
+    pub max_entries: u64,
+    /// Optional Redis URL. Used by the Redis L2 cache backend (requires `redis` feature)
+    /// and distributed rate limiting. When set, responses are cached in Redis in addition
+    /// to the in-memory L1 cache, and rate limit state is shared across proxy instances.
+    pub redis_url: Option<String>,
+}
+
+impl Default for CacheConfig {
+    fn default() -> Self {
+        Self {
+            ttl_secs: 300,
+            max_entries: 10_000,
+            redis_url: None,
+        }
+    }
+}
+
+impl CacheConfig {
+    /// Load cache configuration from environment variables.
+    pub fn from_env() -> Self {
+        let ttl_secs = std::env::var("CACHE_TTL_SECS")
+            .ok()
+            .and_then(|v| v.parse().ok())
+            .unwrap_or(300);
+        let max_entries = std::env::var("CACHE_MAX_ENTRIES")
+            .ok()
+            .and_then(|v| v.parse().ok())
+            .unwrap_or(10_000);
+        let redis_url = std::env::var("REDIS_URL").ok();
+        Self {
+            ttl_secs,
+            max_entries,
+            redis_url,
+        }
+    }
+}
diff --git a/crates/proxy/src/cache/control.rs b/crates/proxy/src/cache/control.rs
new file mode 100644
index 0000000..e1d4918
--- /dev/null
+++ b/crates/proxy/src/cache/control.rs
@@ -0,0 +1,189 @@
+use super::CacheEntry;
+use super::MAX_TTL_SECS;
+use std::time::Duration;
+
+/// Per-request cache controls after combining local and LiteLLM-style fields.
+#[derive(Clone, Debug, PartialEq, Eq)]
+pub struct CacheControl {
+    /// Whether to read an existing cached response before calling upstream.
+    pub lookup: bool,
+    /// Whether to store a successful upstream response after the call.
+    pub store: bool,
+    /// Per-entry store TTL override in seconds.
+    pub ttl_secs: Option<u64>,
+    /// Maximum acceptable age for an existing cached entry.
+    pub max_age_secs: Option<u64>,
+    /// Optional caller namespace for exact-match cache isolation.
+    pub namespace: Option<String>,
+    /// Parsed for LiteLLM compatibility. Currently no behavior change.
+    pub use_cache: bool,
+}
+
+impl Default for CacheControl {
+    fn default() -> Self {
+        Self {
+            lookup: true,
+            store: true,
+            ttl_secs: None,
+            max_age_secs: None,
+            namespace: None,
+            use_cache: false,
+        }
+    }
+}
+
+/// Parse the optional `cache_ttl_secs` field from a request body.
+///
+/// Returns:
+/// - `Ok(None)` if the field is absent or null (use default TTL).
+/// - `Ok(Some(0))` if explicitly 0 (bypass cache).
+/// - `Ok(Some(n))` for valid positive values up to MAX_TTL_SECS.
+/// - `Err(message)` for negative values, values > MAX_TTL_SECS, or non-numeric.
+pub fn parse_cache_ttl(body: &serde_json::Value) -> Result<Option<u64>, String> {
+    let Some(val) = body.get("cache_ttl_secs") else {
+        return Ok(None);
+    };
+    if val.is_null() {
+        return Ok(None);
+    }
+    if let Some(n) = val.as_u64() {
+        if n > MAX_TTL_SECS {
+            return Err(format!("cache_ttl_secs must be <= {MAX_TTL_SECS}, got {n}"));
+        }
+        return Ok(Some(n));
+    }
+    if let Some(n) = val.as_i64() {
+        // Negative values are invalid
+        return Err(format!("cache_ttl_secs must be non-negative, got {n}"));
+    }
+    if let Some(n) = val.as_f64() {
+        if n < 0.0 {
+            return Err(format!("cache_ttl_secs must be non-negative, got {n}"));
+        }
+        let truncated = n as u64;
+        if truncated > MAX_TTL_SECS {
+            return Err(format!(
+                "cache_ttl_secs must be <= {MAX_TTL_SECS}, got {truncated}"
+            ));
+        }
+        return Ok(Some(truncated));
+    }
+    Err(format!("cache_ttl_secs must be a number, got {}", val))
+}
+
+/// Parse local `cache_ttl_secs` and LiteLLM-compatible top-level `cache`.
+pub fn parse_cache_control(body: &serde_json::Value) -> Result<CacheControl, String> {
+    let mut control = CacheControl::default();
+    match parse_cache_ttl(body)? {
+        Some(0) => {
+            control.lookup = false;
+            control.store = false;
+            control.ttl_secs = Some(0);
+        }
+        Some(ttl) => {
+            control.ttl_secs = Some(ttl);
+        }
+        None => {}
+    }
+
+    let Some(cache_value) = body.get("cache") else {
+        return Ok(control);
+    };
+    if cache_value.is_null() {
+        return Ok(control);
+    }
+    let Some(cache_obj) = cache_value.as_object() else {
+        return Err(format!("cache must be an object, got {}", cache_value));
+    };
+
+    if parse_cache_bool_field(cache_obj, "no-cache")?.unwrap_or(false) {
+        control.lookup = false;
+    }
+    if parse_cache_bool_field(cache_obj, "no-store")?.unwrap_or(false) {
+        control.store = false;
+    }
+    if let Some(use_cache) = parse_cache_bool_field(cache_obj, "use-cache")? {
+        control.use_cache = use_cache;
+    }
+    if let Some(ttl) = parse_cache_secs_field(cache_obj, "ttl")? {
+        control.ttl_secs = Some(ttl);
+    }
+    if let Some(max_age) = parse_cache_secs_field(cache_obj, "s-maxage")? {
+        control.max_age_secs = Some(max_age);
+    }
+    if let Some(max_age) = parse_cache_secs_field(cache_obj, "s-max-age")? {
+        control.max_age_secs = Some(max_age);
+    }
+    if let Some(namespace_value) = cache_obj.get("namespace") {
+        if !namespace_value.is_null() {
+            let Some(namespace) = namespace_value.as_str() else {
+                return Err(format!(
+                    "cache.namespace must be a string, got {}",
+                    namespace_value
+                ));
+            };
+            if !namespace.is_empty() {
+                control.namespace = Some(namespace.to_string());
+            }
+        }
+    }
+
+    Ok(control)
+}
+
+fn parse_cache_bool_field(
+    cache_obj: &serde_json::Map<String, serde_json::Value>,
+    field: &str,
+) -> Result<Option<bool>, String> {
+    let Some(value) = cache_obj.get(field) else {
+        return Ok(None);
+    };
+    if value.is_null() {
+        return Ok(None);
+    }
+    value
+        .as_bool()
+        .map(Some)
+        .ok_or_else(|| format!("cache.{field} must be a boolean, got {value}"))
+}
+
+fn parse_cache_secs_field(
+    cache_obj: &serde_json::Map<String, serde_json::Value>,
+    field: &str,
+) -> Result<Option<u64>, String> {
+    let Some(value) = cache_obj.get(field) else {
+        return Ok(None);
+    };
+    if value.is_null() {
+        return Ok(None);
+    }
+    if let Some(n) = value.as_u64() {
+        if n > MAX_TTL_SECS {
+            return Err(format!("cache.{field} must be <= {MAX_TTL_SECS}, got {n}"));
+        }
+        return Ok(Some(n));
+    }
+    if let Some(n) = value.as_i64() {
+        return Err(format!("cache.{field} must be non-negative, got {n}"));
+    }
+    if let Some(n) = value.as_f64() {
+        if n < 0.0 {
+            return Err(format!("cache.{field} must be non-negative, got {n}"));
+        }
+        let truncated = n as u64;
+        if truncated > MAX_TTL_SECS {
+            return Err(format!(
+                "cache.{field} must be <= {MAX_TTL_SECS}, got {truncated}"
+            ));
+        }
+        return Ok(Some(truncated));
+    }
+    Err(format!("cache.{field} must be a number, got {}", value))
+}
+
+pub fn cache_entry_is_fresh(entry: &CacheEntry, max_age_secs: Option<u64>) -> bool {
+    match max_age_secs {
+        Some(max_age) => entry.created_at.elapsed() <= Duration::from_secs(max_age),
+        None => true,
+    }
+}
diff --git a/crates/proxy/src/cache/key.rs b/crates/proxy/src/cache/key.rs
new file mode 100644
index 0000000..0019e2c
--- /dev/null
+++ b/crates/proxy/src/cache/key.rs
@@ -0,0 +1,148 @@
+use sha2::{Digest, Sha256};
+use std::io::{self, Write};
+
+/// Namespace prefix for cache keys, preventing cross-endpoint collisions.
+#[derive(Debug, Clone, Copy)]
+pub enum CacheNamespace {
+    /// Anthropic /v1/messages endpoint.
+    Anthropic,
+    /// OpenAI /v1/chat/completions endpoint.
+    OpenAI,
+}
+
+impl CacheNamespace {
+    fn prefix(self) -> &'static str {
+        match self {
+            Self::Anthropic => "anth",
+            Self::OpenAI => "oai",
+        }
+    }
+}
+
+pub struct CacheScope<'a> {
+    pub backend_name: &'a str,
+    pub auth_identity: &'a str,
+    pub namespace: Option<&'a str>,
+}
+
+/// Compute a deterministic cache key for a request body.
+///
+/// Extracts the fields that affect response content, sorts them via BTreeMap,
+/// serializes to canonical JSON, SHA-256 hashes the result, and prepends the
+/// namespace prefix.
+pub fn cache_key_for_request(
+    body: &serde_json::Value,
+    ns: CacheNamespace,
+    scope: &CacheScope<'_>,
+) -> String {
+    let mut hasher = Sha256::new();
+    write_canonical_cache_body(&mut hasher, body, scope);
+    let hash = hasher.finalize();
+    let hex = hex::encode(hash);
+    format!("{}:{}", ns.prefix(), hex)
+}
+
+enum CacheField<'a> {
+    Json(&'a str, &'a serde_json::Value),
+    Str(&'static str, &'a str),
+}
+
+impl<'a> CacheField<'a> {
+    fn key(&self) -> &str {
+        match self {
+            Self::Json(key, _) | Self::Str(key, _) => key,
+        }
+    }
+}
+
+struct HashWriter<'a> {
+    hasher: &'a mut Sha256,
+}
+
+impl Write for HashWriter<'_> {
+    fn write(&mut self, buf: &[u8]) -> io::Result<usize> {
+        self.hasher.update(buf);
+        Ok(buf.len())
+    }
+
+    fn flush(&mut self) -> io::Result<()> {
+        Ok(())
+    }
+}
+
+fn write_canonical_cache_body(
+    hasher: &mut Sha256,
+    body: &serde_json::Value,
+    scope: &CacheScope<'_>,
+) {
+    let mut fields = Vec::new();
+    if let Some(obj) = body.as_object() {
+        fields.extend(
+            obj.iter()
+                .filter(|(key, value)| should_include_cache_field(key, value))
+                .map(|(key, value)| CacheField::Json(key.as_str(), value)),
+        );
+    }
+    fields.push(CacheField::Str("_scope_auth", scope.auth_identity));
+    fields.push(CacheField::Str("_scope_backend", scope.backend_name));
+    if let Some(namespace) = scope.namespace {
+        fields.push(CacheField::Str("_scope_cache_namespace", namespace));
+    }
+    fields.sort_unstable_by(|a, b| a.key().cmp(b.key()));
+
+    let mut writer = HashWriter { hasher };
+    writer
+        .write_all(b"{")
+        .expect("hash writer should not fail writing object start");
+    for (idx, field) in fields.iter().enumerate() {
+        if idx > 0 {
+            writer
+                .write_all(b",")
+                .expect("hash writer should not fail writing separator");
+        }
+        serde_json::to_writer(&mut writer, field.key())
+            .expect("hash writer should not fail writing key");
+        writer
+            .write_all(b":")
+            .expect("hash writer should not fail writing colon");
+        match field {
+            CacheField::Json(_, value) => serde_json::to_writer(&mut writer, value)
+                .expect("hash writer should not fail writing JSON value"),
+            CacheField::Str(_, value) => serde_json::to_writer(&mut writer, value)
+                .expect("hash writer should not fail writing string value"),
+        }
+    }
+    writer
+        .write_all(b"}")
+        .expect("hash writer should not fail writing object end");
+}
+
+fn should_include_cache_field(key: &str, value: &serde_json::Value) -> bool {
+    if value.is_null() {
+        return false;
+    }
+    // Exclude fields that do not affect the backend response:
+    // - stream / stream_options: transport only (a cached non-stream response is
+    //   replayed as a stream and vice versa).
+    // - cache: request cache controls, handled outside response-content hashing.
+    // - _scope_*: added separately as scope fields.
+    // - user / metadata: tracking fields documented as "Ignored" (anyllm_translate
+    //   ChatCompletionRequest user, anthropic Metadata). Hashing them fragments the
+    //   cache per end-user with no correctness benefit (tenant isolation is already
+    //   provided by _scope_auth).
+    //
+    // parallel_tool_calls is NOT excluded: backends that honor it (e.g. OpenAI)
+    // produce different output for true vs false, so it must be part of the cache
+    // identity. (Gemini/Vertex have it stripped before dispatch by the tool policy.)
+    !matches!(
+        key,
+        "stream"
+            | "stream_options"
+            | "cache"
+            | "_scope_auth"
+            | "_scope_backend"
+            | "_scope_cache_namespace"
+            | "user"
+            | "metadata"
+    )
+}
diff --git a/crates/proxy/src/cache/mod.rs b/crates/proxy/src/cache/mod.rs
index 2787393..a6fc359 100644
--- a/crates/proxy/src/cache/mod.rs
+++ b/crates/proxy/src/cache/mod.rs
@@ -15,14 +15,23 @@ pub mod redis;
 #[cfg(feature = "qdrant")]
 pub mod semantic;
 
+mod config;
+mod control;
+mod key;
+
+#[cfg(test)]
+mod tests;
+
 use bytes::Bytes;
-use sha2::{Digest, Sha256};
-use std::io::{self, Write};
-use std::time::{Duration, Instant};
+use std::time::Instant;
 
 /// Maximum allowed value for per-request `cache_ttl_secs`.
 pub const MAX_TTL_SECS: u64 = 86_400;
 
+pub use config::CacheConfig;
+pub use control::{cache_entry_is_fresh, parse_cache_control, parse_cache_ttl, CacheControl};
+pub use key::{cache_key_for_request, CacheNamespace, CacheScope};
+
 /// Cached response entry stored in any cache backend.
 #[derive(Clone, Debug)]
 pub struct CacheEntry {
@@ -37,24 +46,6 @@ pub struct CacheEntry {
     pub ttl_secs: Option<u64>,
 }
 
-/// Namespace prefix for cache keys, preventing cross-endpoint collisions.
-#[derive(Debug, Clone, Copy)]
-pub enum CacheNamespace {
-    /// Anthropic /v1/messages endpoint.
-    Anthropic,
-    /// OpenAI /v1/chat/completions endpoint.
-    OpenAI,
-}
-
-impl CacheNamespace {
-    fn prefix(self) -> &'static str {
-        match self {
-            Self::Anthropic => "anth",
-            Self::OpenAI => "oai",
-        }
-    }
-}
-
 /// Pluggable cache backend trait. Implementations must be Send + Sync
 /// for use behind Arc in axum handlers.
 pub trait CacheBackend: Send + Sync {
@@ -69,863 +60,3 @@ pub trait CacheBackend: Send + Sync {
         ttl_secs: u64,
     ) -> impl std::future::Future<Output = ()> + Send;
 }
-
-/// Compute a deterministic cache key for a request body.
-///
-/// Extracts the fields that affect response content, sorts them via BTreeMap,
-/// serializes to canonical JSON, SHA-256 hashes the result, and prepends the
-/// namespace prefix.
-pub fn cache_key_for_request(
-    body: &serde_json::Value,
-    ns: CacheNamespace,
-    scope: &CacheScope<'_>,
-) -> String {
-    let mut hasher = Sha256::new();
-    write_canonical_cache_body(&mut hasher, body, scope);
-    let hash = hasher.finalize();
-    let hex = hex::encode(hash);
-    format!("{}:{}", ns.prefix(), hex)
-}
-
-enum CacheField<'a> {
-    Json(&'a str, &'a serde_json::Value),
-    Str(&'static str, &'a str),
-}
-
-impl<'a> CacheField<'a> {
-    fn key(&self) -> &str {
-        match self {
-            Self::Json(key, _) | Self::Str(key, _) => key,
-        }
-    }
-}
-
-struct HashWriter<'a> {
-    hasher: &'a mut Sha256,
-}
-
-impl Write for HashWriter<'_> {
-    fn write(&mut self, buf: &[u8]) -> io::Result<usize> {
-        self.hasher.update(buf);
-        Ok(buf.len())
-    }
-
-    fn flush(&mut self) -> io::Result<()> {
-        Ok(())
-    }
-}
-
-fn write_canonical_cache_body(
-    hasher: &mut Sha256,
-    body: &serde_json::Value,
-    scope: &CacheScope<'_>,
-) {
-    let mut fields = Vec::new();
-    if let Some(obj) = body.as_object() {
-        fields.extend(
-            obj.iter()
-                .filter(|(key, value)| should_include_cache_field(key, value))
-                .map(|(key, value)| CacheField::Json(key.as_str(), value)),
-        );
-    }
-    fields.push(CacheField::Str("_scope_auth", scope.auth_identity));
-    fields.push(CacheField::Str("_scope_backend", scope.backend_name));
-    if let Some(namespace) = scope.namespace {
-        fields.push(CacheField::Str("_scope_cache_namespace", namespace));
-    }
-    fields.sort_unstable_by(|a, b| a.key().cmp(b.key()));
-
-    let mut writer = HashWriter { hasher };
-    writer
-        .write_all(b"{")
-        .expect("hash writer should not fail writing object start");
-    for (idx, field) in fields.iter().enumerate() {
-        if idx > 0 {
-            writer
-                .write_all(b",")
-                .expect("hash writer should not fail writing separator");
-        }
-        serde_json::to_writer(&mut writer, field.key())
-            .expect("hash writer should not fail writing key");
-        writer
-            .write_all(b":")
-            .expect("hash writer should not fail writing colon");
-        match field {
-            CacheField::Json(_, value) => serde_json::to_writer(&mut writer, value)
-                .expect("hash writer should not fail writing JSON value"),
-            CacheField::Str(_, value) => serde_json::to_writer(&mut writer, value)
-                .expect("hash writer should not fail writing string value"),
-        }
-    }
-    writer
-        .write_all(b"}")
-        .expect("hash writer should not fail writing object end");
-}
-
-fn should_include_cache_field(key: &str, value: &serde_json::Value) -> bool {
-    if value.is_null() {
-        return false;
-    }
-    // Exclude fields that do not affect the backend response:
-    // - stream / stream_options: transport only (a cached non-stream response is
-    //   replayed as a stream and vice versa).
-    // - cache: request cache controls, handled outside response-content hashing.
-    // - _scope_*: added separately as scope fields.
-    // - user / metadata: tracking fields documented as "Ignored" (anyllm_translate
-    //   ChatCompletionRequest user, anthropic Metadata). Hashing them fragments the
-    //   cache per end-user with no correctness benefit (tenant isolation is already
-    //   provided by _scope_auth).
-    //
-    // parallel_tool_calls is NOT excluded: backends that honor it (e.g. OpenAI)
-    // produce different output for true vs false, so it must be part of the cache
-    // identity. (Gemini/Vertex have it stripped before dispatch by the tool policy.)
-    !matches!(
-        key,
-        "stream"
-            | "stream_options"
-            | "cache"
-            | "_scope_auth"
-            | "_scope_backend"
-            | "_scope_cache_namespace"
-            | "user"
-            | "metadata"
-    )
-}
-
-pub struct CacheScope<'a> {
-    pub backend_name: &'a str,
-    pub auth_identity: &'a str,
-    pub namespace: Option<&'a str>,
-}
-
-/// Per-request cache controls after combining local and LiteLLM-style fields.
-#[derive(Clone, Debug, PartialEq, Eq)]
-pub struct CacheControl {
-    /// Whether to read an existing cached response before calling upstream.
-    pub lookup: bool,
-    /// Whether to store a successful upstream response after the call.
-    pub store: bool,
-    /// Per-entry store TTL override in seconds.
-    pub ttl_secs: Option<u64>,
-    /// Maximum acceptable age for an existing cached entry.
-    pub max_age_secs: Option<u64>,
-    /// Optional caller namespace for exact-match cache isolation.
-    pub namespace: Option<String>,
-    /// Parsed for LiteLLM compatibility. Currently no behavior change.
-    pub use_cache: bool,
-}
-
-impl Default for CacheControl {
-    fn default() -> Self {
-        Self {
-            lookup: true,
-            store: true,
-            ttl_secs: None,
-            max_age_secs: None,
-            namespace: None,
-            use_cache: false,
-        }
-    }
-}
-
-/// Parse the optional `cache_ttl_secs` field from a request body.
-///
-/// Returns:
-/// - `Ok(None)` if the field is absent or null (use default TTL).
-/// - `Ok(Some(0))` if explicitly 0 (bypass cache).
-/// - `Ok(Some(n))` for valid positive values up to MAX_TTL_SECS.
-/// - `Err(message)` for negative values, values > MAX_TTL_SECS, or non-numeric.
-pub fn parse_cache_ttl(body: &serde_json::Value) -> Result<Option<u64>, String> {
-    let Some(val) = body.get("cache_ttl_secs") else {
-        return Ok(None);
-    };
-    if val.is_null() {
-        return Ok(None);
-    }
-    if let Some(n) = val.as_u64() {
-        if n > MAX_TTL_SECS {
-            return Err(format!("cache_ttl_secs must be <= {MAX_TTL_SECS}, got {n}"));
-        }
-        return Ok(Some(n));
-    }
-    if let Some(n) = val.as_i64() {
-        // Negative values are invalid
-        return Err(format!("cache_ttl_secs must be non-negative, got {n}"));
-    }
-    if let Some(n) = val.as_f64() {
-        if n < 0.0 {
-            return Err(format!("cache_ttl_secs must be non-negative, got {n}"));
-        }
-        let truncated = n as u64;
-        if truncated > MAX_TTL_SECS {
-            return Err(format!(
-                "cache_ttl_secs must be <= {MAX_TTL_SECS}, got {truncated}"
-            ));
-        }
-        return Ok(Some(truncated));
-    }
-    Err(format!("cache_ttl_secs must be a number, got {}", val))
-}
-
-/// Parse local `cache_ttl_secs` and LiteLLM-compatible top-level `cache`.
-pub fn parse_cache_control(body: &serde_json::Value) -> Result<CacheControl, String> {
-    let mut control = CacheControl::default();
-    match parse_cache_ttl(body)? {
-        Some(0) => {
-            control.lookup = false;
-            control.store = false;
-            control.ttl_secs = Some(0);
-        }
-        Some(ttl) => {
-            control.ttl_secs = Some(ttl);
-        }
-        None => {}
-    }
-
-    let Some(cache_value) = body.get("cache") else {
-        return Ok(control);
-    };
-    if cache_value.is_null() {
-        return Ok(control);
-    }
-    let Some(cache_obj) = cache_value.as_object() else {
-        return Err(format!("cache must be an object, got {}", cache_value));
-    };
-
-    if parse_cache_bool_field(cache_obj, "no-cache")?.unwrap_or(false) {
-        control.lookup = false;
-    }
-    if parse_cache_bool_field(cache_obj, "no-store")?.unwrap_or(false) {
-        control.store = false;
-    }
-    if let Some(use_cache) = parse_cache_bool_field(cache_obj, "use-cache")? {
-        control.use_cache = use_cache;
-    }
-    if let Some(ttl) = parse_cache_secs_field(cache_obj, "ttl")? {
-        control.ttl_secs = Some(ttl);
-    }
-    if let Some(max_age) = parse_cache_secs_field(cache_obj, "s-maxage")? {
-        control.max_age_secs = Some(max_age);
-    }
-    if let Some(max_age) = parse_cache_secs_field(cache_obj, "s-max-age")? {
-        control.max_age_secs = Some(max_age);
-    }
-    if let Some(namespace_value) = cache_obj.get("namespace") {
-        if !namespace_value.is_null() {
-            let Some(namespace) = namespace_value.as_str() else {
-                return Err(format!(
-                    "cache.namespace must be a string, got {}",
-                    namespace_value
-                ));
-            };
-            if !namespace.is_empty() {
-                control.namespace = Some(namespace.to_string());
-            }
-        }
-    }
-
-    Ok(control)
-}
-
-fn parse_cache_bool_field(
-    cache_obj: &serde_json::Map<String, serde_json::Value>,
-    field: &str,
-) -> Result<Option<bool>, String> {
-    let Some(value) = cache_obj.get(field) else {
-        return Ok(None);
-    };
-    if value.is_null() {
-        return Ok(None);
-    }
-    value
-        .as_bool()
-        .map(Some)
-        .ok_or_else(|| format!("cache.{field} must be a boolean, got {value}"))
-}
-
-fn parse_cache_secs_field(
-    cache_obj: &serde_json::Map<String, serde_json::Value>,
-    field: &str,
-) -> Result<Option<u64>, String> {
-    let Some(value) = cache_obj.get(field) else {
-        return Ok(None);
-    };
-    if value.is_null() {
-        return Ok(None);
-    }
-    if let Some(n) = value.as_u64() {
-        if n > MAX_TTL_SECS {
-            return Err(format!("cache.{field} must be <= {MAX_TTL_SECS}, got {n}"));
-        }
-        return Ok(Some(n));
-    }
-    if let Some(n) = value.as_i64() {
-        return Err(format!("cache.{field} must be non-negative, got {n}"));
-    }
-    if let Some(n) = value.as_f64() {
-        if n < 0.0 {
-            return Err(format!("cache.{field} must be non-negative, got {n}"));
-        }
-        let truncated = n as u64;
-        if truncated > MAX_TTL_SECS {
-            return Err(format!(
-                "cache.{field} must be <= {MAX_TTL_SECS}, got {truncated}"
-            ));
-        }
-        return Ok(Some(truncated));
-    }
-    Err(format!("cache.{field} must be a number, got {}", value))
-}
-
-pub fn cache_entry_is_fresh(entry: &CacheEntry, max_age_secs: Option<u64>) -> bool {
-    match max_age_secs {
-        Some(max_age) => entry.created_at.elapsed() <= Duration::from_secs(max_age),
-        None => true,
-    }
-}
-
-/// Configuration for the cache subsystem.
-#[derive(Debug, Clone)]
-pub struct CacheConfig {
-    /// Default TTL in seconds for cached responses.
-    pub ttl_secs: u64,
-    /// Maximum number of entries in the in-memory cache.
-    pub max_entries: u64,
-    /// Optional Redis URL. Used by the Redis L2 cache backend (requires `redis` feature)
-    /// and distributed rate limiting. When set, responses are cached in Redis in addition
-    /// to the in-memory L1 cache, and rate limit state is shared across proxy instances.
-    pub redis_url: Option<String>,
-}
-
-impl Default for CacheConfig {
-    fn default() -> Self {
-        Self {
-            ttl_secs: 300,
-            max_entries: 10_000,
-            redis_url: None,
-        }
-    }
-}
-
-impl CacheConfig {
-    /// Load cache configuration from environment variables.
-    pub fn from_env() -> Self {
-        let ttl_secs = std::env::var("CACHE_TTL_SECS")
-            .ok()
-            .and_then(|v| v.parse().ok())
-            .unwrap_or(300);
-        let max_entries = std::env::var("CACHE_MAX_ENTRIES")
-            .ok()
-            .and_then(|v| v.parse().ok())
-            .unwrap_or(10_000);
-        let redis_url = std::env::var("REDIS_URL").ok();
-        Self {
-            ttl_secs,
-            max_entries,
-            redis_url,
-        }
-    }
-}
-
-#[cfg(test)]
-mod tests {
-    use super::*;
-
-    #[test]
-    fn cache_key_deterministic_same_fields() {
-        let body = serde_json::json!({
-            "model": "claude-sonnet-4-6",
-            "messages": [{"role": "user", "content": "hello"}],
-            "temperature": 0.7,
-            "max_tokens": 100
-        });
-        let key1 = cache_key_for_request(
-            &body,
-            CacheNamespace::Anthropic,
-            &CacheScope {
-                backend_name: "openai",
-                auth_identity: "k1",
-                namespace: None,
-            },
-        );
-        let key2 = cache_key_for_request(
-            &body,
-            CacheNamespace::Anthropic,
-            &CacheScope {
-                backend_name: "openai",
-                auth_identity: "k1",
-                namespace: None,
-            },
-        );
-        assert_eq!(key1, key2);
-        assert!(key1.starts_with("anth:"));
-    }
-
-    #[test]
-    fn cache_key_different_for_different_temperature() {
-        let body1 = serde_json::json!({
-            "model": "claude-sonnet-4-6",
-            "messages": [{"role": "user", "content": "hello"}],
-            "temperature": 0.7
-        });
-        let body2 = serde_json::json!({
-            "model": "claude-sonnet-4-6",
-            "messages": [{"role": "user", "content": "hello"}],
-            "temperature": 0.9
-        });
-        let key1 = cache_key_for_request(
-            &body1,
-            CacheNamespace::Anthropic,
-            &CacheScope {
-                backend_name: "openai",
-                auth_identity: "k1",
-                namespace: None,
-            },
-        );
-        let key2 = cache_key_for_request(
-            &body2,
-            CacheNamespace::Anthropic,
-            &CacheScope {
-                backend_name: "openai",
-                auth_identity: "k1",
-                namespace: None,
-            },
-        );
-        assert_ne!(key1, key2);
-    }
-
-    #[test]
-    fn cache_key_ignores_field_order() {
-        // JSON object field order should not affect the key because we
-        // extract into a BTreeMap.
-        let body1 = serde_json::json!({
-            "model": "gpt-4o",
-            "temperature": 0.5,
-            "messages": [{"role": "user", "content": "hi"}]
-        });
-        let body2 = serde_json::json!({
-            "messages": [{"role": "user", "content": "hi"}],
-            "model": "gpt-4o",
-            "temperature": 0.5
-        });
-        let key1 = cache_key_for_request(
-            &body1,
-            CacheNamespace::OpenAI,
-            &CacheScope {
-                backend_name: "openai",
-                auth_identity: "k1",
-                namespace: None,
-            },
-        );
-        let key2 = cache_key_for_request(
-            &body2,
-            CacheNamespace::OpenAI,
-            &CacheScope {
-                backend_name: "openai",
-                auth_identity: "k1",
-                namespace: None,
-            },
-        );
-        assert_eq!(key1, key2);
-    }
-
-    #[test]
-    fn cache_key_ignores_non_cache_fields() {
-        let body1 = serde_json::json!({
-            "model": "gpt-4o",
-            "messages": [{"role": "user", "content": "hi"}],
-            "stream": true
-        });
-        let body2 = serde_json::json!({
-            "model": "gpt-4o",
-            "messages": [{"role": "user", "content": "hi"}]
-        });
-        let key1 = cache_key_for_request(
-            &body1,
-            CacheNamespace::OpenAI,
-            &CacheScope {
-                backend_name: "openai",
-                auth_identity: "k1",
-                namespace: None,
-            },
-        );
-        let key2 = cache_key_for_request(
-            &body2,
-            CacheNamespace::OpenAI,
-            &CacheScope {
-                backend_name: "openai",
-                auth_identity: "k1",
-                namespace: None,
-            },
-        );
-        assert_eq!(key1, key2);
-    }
-
-    #[test]
-    fn cache_key_namespace_differs() {
-        let body = serde_json::json!({
-            "model": "test",
-            "messages": []
-        });
-        let anth = cache_key_for_request(
-            &body,
-            CacheNamespace::Anthropic,
-            &CacheScope {
-                backend_name: "openai",
-                auth_identity: "k1",
-                namespace: None,
-            },
-        );
-        let oai = cache_key_for_request(
-            &body,
-            CacheNamespace::OpenAI,
-            &CacheScope {
-                backend_name: "openai",
-                auth_identity: "k1",
-                namespace: None,
-            },
-        );
-        assert_ne!(anth, oai);
-        assert!(anth.starts_with("anth:"));
-        assert!(oai.starts_with("oai:"));
-    }
-
-    #[test]
-    fn cache_key_null_field_same_as_absent() {
-        let body1 = serde_json::json!({
-            "model": "gpt-4o",
-            "messages": [],
-            "temperature": null
-        });
-        let body2 = serde_json::json!({
-            "model": "gpt-4o",
-            "messages": []
-        });
-        let key1 = cache_key_for_request(
-            &body1,
-            CacheNamespace::OpenAI,
-            &CacheScope {
-                backend_name: "openai",
-                auth_identity: "k1",
-                namespace: None,
-            },
-        );
-        let key2 = cache_key_for_request(
-            &body2,
-            CacheNamespace::OpenAI,
-            &CacheScope {
-                backend_name: "openai",
-                auth_identity: "k1",
-                namespace: None,
-            },
-        );
-        assert_eq!(key1, key2);
-    }
-
-    #[test]
-    fn parse_cache_ttl_absent() {
-        let body = serde_json::json!({"model": "test"});
-        assert_eq!(parse_cache_ttl(&body).unwrap(), None);
-    }
-
-    #[test]
-    fn parse_cache_ttl_null() {
-        let body = serde_json::json!({"cache_ttl_secs": null});
-        assert_eq!(parse_cache_ttl(&body).unwrap(), None);
-    }
-
-    #[test]
-    fn parse_cache_ttl_zero() {
-        let body = serde_json::json!({"cache_ttl_secs": 0});
-        assert_eq!(parse_cache_ttl(&body).unwrap(), Some(0));
-    }
-
-    #[test]
-    fn parse_cache_ttl_valid() {
-        let body = serde_json::json!({"cache_ttl_secs": 600});
-        assert_eq!(parse_cache_ttl(&body).unwrap(), Some(600));
-    }
-
-    #[test]
-    fn parse_cache_ttl_max() {
-        let body = serde_json::json!({"cache_ttl_secs": 86400});
-        assert_eq!(parse_cache_ttl(&body).unwrap(), Some(86400));
-    }
-
-    #[test]
-    fn parse_cache_ttl_over_max() {
-        let body = serde_json::json!({"cache_ttl_secs": 86401});
-        assert!(parse_cache_ttl(&body).is_err());
-    }
-
-    #[test]
-    fn parse_cache_ttl_negative() {
-        let body = serde_json::json!({"cache_ttl_secs": -1});
-        assert!(parse_cache_ttl(&body).is_err());
-    }
-
-    #[test]
-    fn parse_cache_ttl_string() {
-        let body = serde_json::json!({"cache_ttl_secs": "not a number"});
-        assert!(parse_cache_ttl(&body).is_err());
-    }
-
-    #[test]
-    fn cache_key_differs_for_different_cache_ttl_secs() {
-        let body1 = serde_json::json!({
-            "model": "gpt-4o",
-            "messages": [{"role": "user", "content": "hi"}],
-            "cache_ttl_secs": 60
-        });
-        let body2 = serde_json::json!({
-            "model": "gpt-4o",
-            "messages": [{"role": "user", "content": "hi"}],
-            "cache_ttl_secs": 3600
-        });
-        let key1 = cache_key_for_request(
-            &body1,
-            CacheNamespace::OpenAI,
-            &CacheScope {
-                backend_name: "openai",
-                auth_identity: "k1",
-                namespace: None,
-            },
-        );
-        let key2 = cache_key_for_request(
-            &body2,
-            CacheNamespace::OpenAI,
-            &CacheScope {
-                backend_name: "openai",
-                auth_identity: "k1",
-                namespace: None,
-            },
-        );
-        assert_ne!(
-            key1, key2,
-            "different cache_ttl_secs must produce different cache keys"
-        );
-    }
-
-    #[test]
-    fn cache_key_ignores_litellm_cache_controls() {
-        let body1 = serde_json::json!({
-            "model": "gpt-4o",
-            "messages": [{"role": "user", "content": "hi"}],
-            "cache": {"ttl": 60, "no-cache": true}
-        });
-        let body2 = serde_json::json!({
-            "model": "gpt-4o",
-            "messages": [{"role": "user", "content": "hi"}],
-            "cache": {"ttl": 3600, "no-store": true}
-        });
-
-        assert_eq!(openai_key(&body1), openai_key(&body2));
-    }
-
-    #[test]
-    fn cache_key_namespace_control_separates_keys() {
-        let body = serde_json::json!({
-            "model": "gpt-4o",
-            "messages": [{"role": "user", "content": "hi"}]
-        });
-        let key1 = cache_key_for_request(
-            &body,
-            CacheNamespace::OpenAI,
-            &CacheScope {
-                backend_name: "openai",
-                auth_identity: "k1",
-                namespace: Some("tenant-a"),
-            },
-        );
-        let key2 = cache_key_for_request(
-            &body,
-            CacheNamespace::OpenAI,
-            &CacheScope {
-                backend_name: "openai",
-                auth_identity: "k1",
-                namespace: Some("tenant-b"),
-            },
-        );
-
-        assert_ne!(key1, key2);
-    }
-
-    #[test]
-    fn parse_cache_control_litellm_fields() {
-        let body = serde_json::json!({
-            "cache": {
-                "ttl": 120,
-                "no-cache": true,
-                "no-store": false,
-                "s-maxage": 30,
-                "namespace": "tenant-a",
-                "use-cache": true
-            }
-        });
-
-        let control = parse_cache_control(&body).unwrap();
-
-        assert!(!control.lookup);
-        assert!(control.store);
-        assert_eq!(control.ttl_secs, Some(120));
-        assert_eq!(control.max_age_secs, Some(30));
-        assert_eq!(control.namespace.as_deref(), Some("tenant-a"));
-        assert!(control.use_cache);
-    }
-
-    #[test]
-    fn parse_cache_control_preserves_cache_ttl_secs_bypass() {
-        let body = serde_json::json!({
-            "cache_ttl_secs": 0,
-            "cache": {"ttl": 120}
-        });
-
-        let control = parse_cache_control(&body).unwrap();
-
-        assert!(!control.lookup);
-        assert!(!control.store);
-        assert_eq!(control.ttl_secs, Some(120));
-    }
-
-    #[test]
-    fn parse_cache_control_rejects_invalid_cache_object() {
-        let body = serde_json::json!({"cache": true});
-
-        assert!(parse_cache_control(&body).is_err());
-    }
-
-    #[test]
-    fn cache_entry_s_maxage_rejects_stale_entries() {
-        let entry = CacheEntry {
-            response_body: Bytes::from_static(b"{}"),
-            model: "gpt-4o".to_string(),
-            created_at: Instant::now() - std::time::Duration::from_secs(10),
-            ttl_secs: None,
-        };
-
-        assert!(!cache_entry_is_fresh(&entry, Some(5)));
-        assert!(cache_entry_is_fresh(&entry, Some(30)));
-        assert!(cache_entry_is_fresh(&entry, None));
-    }
-
-    fn test_scope() -> CacheScope<'static> {
-        CacheScope {
-            backend_name: "openai",
-            auth_identity: "k1",
-            namespace: None,
-        }
-    }
-
-    fn anthropic_key(body: &serde_json::Value) -> String {
-        cache_key_for_request(body, CacheNamespace::Anthropic, &test_scope())
-    }
-
-    fn openai_key(body: &serde_json::Value) -> String {
-        cache_key_for_request(body, CacheNamespace::OpenAI, &test_scope())
-    }
-
-    #[test]
-    fn cache_key_includes_anthropic_response_affecting_fields() {
-        let base = serde_json::json!({
-            "model": "claude-sonnet-4-6",
-            "max_tokens": 128,
-            "messages": [{"role": "user", "content": "hi"}]
-        });
-
-        let with_top_k = serde_json::json!({
-            "model": "claude-sonnet-4-6",
-            "max_tokens": 128,
-            "messages": [{"role": "user", "content": "hi"}],
-            "top_k": 10
-        });
-        let with_stop_sequences = serde_json::json!({
-            "model": "claude-sonnet-4-6",
-            "max_tokens": 128,
-            "messages": [{"role": "user", "content": "hi"}],
-            "stop_sequences": ["END"]
-        });
-        let with_thinking = serde_json::json!({
-            "model": "claude-sonnet-4-6",
-            "max_tokens": 128,
-            "messages": [{"role": "user", "content": "hi"}],
-            "thinking": {"type": "enabled", "budget_tokens": 1024}
-        });
-
-        assert_ne!(anthropic_key(&base), anthropic_key(&with_top_k));
-        assert_ne!(anthropic_key(&base), anthropic_key(&with_stop_sequences));
-        assert_ne!(anthropic_key(&base), anthropic_key(&with_thinking));
-    }
-
-    #[test]
-    fn cache_key_includes_unknown_extra_fields() {
-        let base = serde_json::json!({
-            "model": "gpt-4o",
-            "messages": [{"role": "user", "content": "hi"}]
-        });
-        let with_extra = serde_json::json!({
-            "model": "gpt-4o",
-            "messages": [{"role": "user", "content": "hi"}],
-            "prediction": {"type": "content", "content": "expected"}
-        });
-
-        assert_ne!(openai_key(&base), openai_key(&with_extra));
-    }
-
-    #[test]
-    fn cache_key_ignores_tracking_fields() {
-        let base = serde_json::json!({
-            "model": "gpt-4o",
-            "messages": [{"role": "user", "content": "hi"}]
-        });
-        let with_user = serde_json::json!({
-            "model": "gpt-4o",
-            "messages": [{"role": "user", "content": "hi"}],
-            "user": "end-user-123"
-        });
-        let with_metadata = serde_json::json!({
-            "model": "claude-sonnet-4-6",
-            "max_tokens": 128,
-            "messages": [{"role": "user", "content": "hi"}],
-            "metadata": {"user_id": "session-abc"}
-        });
-        let metadata_base = serde_json::json!({
-            "model": "claude-sonnet-4-6",
-            "max_tokens": 128,
-            "messages": [{"role": "user", "content": "hi"}]
-        });
-
-        assert_eq!(openai_key(&base), openai_key(&with_user));
-        assert_eq!(anthropic_key(&metadata_base), anthropic_key(&with_metadata));
-    }
-
-    #[test]
-    fn cache_key_includes_parallel_tool_calls() {
-        let base = serde_json::json!({
-            "model": "gpt-4o",
-            "messages": [{"role": "user", "content": "hi"}],
-            "tools": [{
-                "type": "function",
-                "function": {
-                    "name": "lookup",
-                    "description": "lookup",
-                    "parameters": {"type": "object", "properties": {}}
-                }
-            }]
-        });
-        let with_parallel_tool_calls = serde_json::json!({
-            "model": "gpt-4o",
-            "messages": [{"role": "user", "content": "hi"}],
-            "tools": [{
-                "type": "function",
-                "function": {
-                    "name": "lookup",
-                    "description": "lookup",
-                    "parameters": {"type": "object", "properties": {}}
-                }
-            }],
-            "parallel_tool_calls": false
-        });
-
-        assert_ne!(openai_key(&base), openai_key(&with_parallel_tool_calls));
-    }
-}
diff --git a/crates/proxy/src/cache/tests.rs b/crates/proxy/src/cache/tests.rs
new file mode 100644
index 0000000..ae5a8fb
--- /dev/null
+++ b/crates/proxy/src/cache/tests.rs
@@ -0,0 +1,501 @@
+use super::*;
+use bytes::Bytes;
+use std::time::Instant;
+
+#[test]
+fn cache_key_deterministic_same_fields() {
+    let body = serde_json::json!({
+        "model": "claude-sonnet-4-6",
+        "messages": [{"role": "user", "content": "hello"}],
+        "temperature": 0.7,
+        "max_tokens": 100
+    });
+    let key1 = cache_key_for_request(
+        &body,
+        CacheNamespace::Anthropic,
+        &CacheScope {
+            backend_name: "openai",
+            auth_identity: "k1",
+            namespace: None,
+        },
+    );
+    let key2 = cache_key_for_request(
+        &body,
+        CacheNamespace::Anthropic,
+        &CacheScope {
+            backend_name: "openai",
+            auth_identity: "k1",
+            namespace: None,
+        },
+    );
+    assert_eq!(key1, key2);
+    assert!(key1.starts_with("anth:"));
+}
+
+#[test]
+fn cache_key_different_for_different_temperature() {
+    let body1 = serde_json::json!({
+        "model": "claude-sonnet-4-6",
+        "messages": [{"role": "user", "content": "hello"}],
+        "temperature": 0.7
+    });
+    let body2 = serde_json::json!({
+        "model": "claude-sonnet-4-6",
+        "messages": [{"role": "user", "content": "hello"}],
+        "temperature": 0.9
+    });
+    let key1 = cache_key_for_request(
+        &body1,
+        CacheNamespace::Anthropic,
+        &CacheScope {
+            backend_name: "openai",
+            auth_identity: "k1",
+            namespace: None,
+        },
+    );
+    let key2 = cache_key_for_request(
+        &body2,
+        CacheNamespace::Anthropic,
+        &CacheScope {
+            backend_name: "openai",
+            auth_identity: "k1",
+            namespace: None,
+        },
+    );
+    assert_ne!(key1, key2);
+}
+
+#[test]
+fn cache_key_ignores_field_order() {
+    // JSON object field order should not affect the key because we
+    // extract into a BTreeMap.
+    let body1 = serde_json::json!({
+        "model": "gpt-4o",
+        "temperature": 0.5,
+        "messages": [{"role": "user", "content": "hi"}]
+    });
+    let body2 = serde_json::json!({
+        "messages": [{"role": "user", "content": "hi"}],
+        "model": "gpt-4o",
+        "temperature": 0.5
+    });
+    let key1 = cache_key_for_request(
+        &body1,
+        CacheNamespace::OpenAI,
+        &CacheScope {
+            backend_name: "openai",
+            auth_identity: "k1",
+            namespace: None,
+        },
+    );
+    let key2 = cache_key_for_request(
+        &body2,
+        CacheNamespace::OpenAI,
+        &CacheScope {
+            backend_name: "openai",
+            auth_identity: "k1",
+            namespace: None,
+        },
+    );
+    assert_eq!(key1, key2);
+}
+
+#[test]
+fn cache_key_ignores_non_cache_fields() {
+    let body1 = serde_json::json!({
+        "model": "gpt-4o",
+        "messages": [{"role": "user", "content": "hi"}],
+        "stream": true
+    });
+    let body2 = serde_json::json!({
+        "model": "gpt-4o",
+        "messages": [{"role": "user", "content": "hi"}]
+    });
+    let key1 = cache_key_for_request(
+        &body1,
+        CacheNamespace::OpenAI,
+        &CacheScope {
+            backend_name: "openai",
+            auth_identity: "k1",
+            namespace: None,
+        },
+    );
+    let key2 = cache_key_for_request(
+        &body2,
+        CacheNamespace::OpenAI,
+        &CacheScope {
+            backend_name: "openai",
+            auth_identity: "k1",
+            namespace: None,
+        },
+    );
+    assert_eq!(key1, key2);
+}
+
+#[test]
+fn cache_key_namespace_differs() {
+    let body = serde_json::json!({
+        "model": "test",
+        "messages": []
+    });
+    let anth = cache_key_for_request(
+        &body,
+        CacheNamespace::Anthropic,
+        &CacheScope {
+            backend_name: "openai",
+            auth_identity: "k1",
+            namespace: None,
+        },
+    );
+    let oai = cache_key_for_request(
+        &body,
+        CacheNamespace::OpenAI,
+        &CacheScope {
+            backend_name: "openai",
+            auth_identity: "k1",
+            namespace: None,
+        },
+    );
+    assert_ne!(anth, oai);
+    assert!(anth.starts_with("anth:"));
+    assert!(oai.starts_with("oai:"));
+}
+
+#[test]
+fn cache_key_null_field_same_as_absent() {
+    let body1 = serde_json::json!({
+        "model": "gpt-4o",
+        "messages": [],
+        "temperature": null
+    });
+    let body2 = serde_json::json!({
+        "model": "gpt-4o",
+        "messages": []
+    });
+    let key1 = cache_key_for_request(
+        &body1,
+        CacheNamespace::OpenAI,
+        &CacheScope {
+            backend_name: "openai",
+            auth_identity: "k1",
+            namespace: None,
+        },
+    );
+    let key2 = cache_key_for_request(
+        &body2,
+        CacheNamespace::OpenAI,
+        &CacheScope {
+            backend_name: "openai",
+            auth_identity: "k1",
+            namespace: None,
+        },
+    );
+    assert_eq!(key1, key2);
+}
+
+#[test]
+fn parse_cache_ttl_absent() {
+    let body = serde_json::json!({"model": "test"});
+    assert_eq!(parse_cache_ttl(&body).unwrap(), None);
+}
+
+#[test]
+fn parse_cache_ttl_null() {
+    let body = serde_json::json!({"cache_ttl_secs": null});
+    assert_eq!(parse_cache_ttl(&body).unwrap(), None);
+}
+
+#[test]
+fn parse_cache_ttl_zero() {
+    let body = serde_json::json!({"cache_ttl_secs": 0});
+    assert_eq!(parse_cache_ttl(&body).unwrap(), Some(0));
+}
+
+#[test]
+fn parse_cache_ttl_valid() {
+    let body = serde_json::json!({"cache_ttl_secs": 600});
+    assert_eq!(parse_cache_ttl(&body).unwrap(), Some(600));
+}
+
+#[test]
+fn parse_cache_ttl_max() {
+    let body = serde_json::json!({"cache_ttl_secs": 86400});
+    assert_eq!(parse_cache_ttl(&body).unwrap(), Some(86400));
+}
+
+#[test]
+fn parse_cache_ttl_over_max() {
+    let body = serde_json::json!({"cache_ttl_secs": 86401});
+    assert!(parse_cache_ttl(&body).is_err());
+}
+
+#[test]
+fn parse_cache_ttl_negative() {
+    let body = serde_json::json!({"cache_ttl_secs": -1});
+    assert!(parse_cache_ttl(&body).is_err());
+}
+
+#[test]
+fn parse_cache_ttl_string() {
+    let body = serde_json::json!({"cache_ttl_secs": "not a number"});
+    assert!(parse_cache_ttl(&body).is_err());
+}
+
+#[test]
+fn cache_key_differs_for_different_cache_ttl_secs() {
+    let body1 = serde_json::json!({
+        "model": "gpt-4o",
+        "messages": [{"role": "user", "content": "hi"}],
+        "cache_ttl_secs": 60
+    });
+    let body2 = serde_json::json!({
+        "model": "gpt-4o",
+        "messages": [{"role": "user", "content": "hi"}],
+        "cache_ttl_secs": 3600
+    });
+    let key1 = cache_key_for_request(
+        &body1,
+        CacheNamespace::OpenAI,
+        &CacheScope {
+            backend_name: "openai",
+            auth_identity: "k1",
+            namespace: None,
+        },
+    );
+    let key2 = cache_key_for_request(
+        &body2,
+        CacheNamespace::OpenAI,
+        &CacheScope {
+            backend_name: "openai",
+            auth_identity: "k1",
+            namespace: None,
+        },
+    );
+    assert_ne!(
+        key1, key2,
+        "different cache_ttl_secs must produce different cache keys"
+    );
+}
+
+#[test]
+fn cache_key_ignores_litellm_cache_controls() {
+    let body1 = serde_json::json!({
+        "model": "gpt-4o",
+        "messages": [{"role": "user", "content": "hi"}],
+        "cache": {"ttl": 60, "no-cache": true}
+    });
+    let body2 = serde_json::json!({
+        "model": "gpt-4o",
+        "messages": [{"role": "user", "content": "hi"}],
+        "cache": {"ttl": 3600, "no-store": true}
+    });
+
+    assert_eq!(openai_key(&body1), openai_key(&body2));
+}
+
+#[test]
+fn cache_key_namespace_control_separates_keys() {
+    let body = serde_json::json!({
+        "model": "gpt-4o",
+        "messages": [{"role": "user", "content": "hi"}]
+    });
+    let key1 = cache_key_for_request(
+        &body,
+        CacheNamespace::OpenAI,
+        &CacheScope {
+            backend_name: "openai",
+            auth_identity: "k1",
+            namespace: Some("tenant-a"),
+        },
+    );
+    let key2 = cache_key_for_request(
+        &body,
+        CacheNamespace::OpenAI,
+        &CacheScope {
+            backend_name: "openai",
+            auth_identity: "k1",
+            namespace: Some("tenant-b"),
+        },
+    );
+
+    assert_ne!(key1, key2);
+}
+
+#[test]
+fn parse_cache_control_litellm_fields() {
+    let body = serde_json::json!({
+        "cache": {
+            "ttl": 120,
+            "no-cache": true,
+            "no-store": false,
+            "s-maxage": 30,
+            "namespace": "tenant-a",
+            "use-cache": true
+        }
+    });
+
+    let control = parse_cache_control(&body).unwrap();
+
+    assert!(!control.lookup);
+    assert!(control.store);
+    assert_eq!(control.ttl_secs, Some(120));
+    assert_eq!(control.max_age_secs, Some(30));
+    assert_eq!(control.namespace.as_deref(), Some("tenant-a"));
+    assert!(control.use_cache);
+}
+
+#[test]
+fn parse_cache_control_preserves_cache_ttl_secs_bypass() {
+    let body = serde_json::json!({
+        "cache_ttl_secs": 0,
+        "cache": {"ttl": 120}
+    });
+
+    let control = parse_cache_control(&body).unwrap();
+
+    assert!(!control.lookup);
+    assert!(!control.store);
+    assert_eq!(control.ttl_secs, Some(120));
+}
+
+#[test]
+fn parse_cache_control_rejects_invalid_cache_object() {
+    let body = serde_json::json!({"cache": true});
+
+    assert!(parse_cache_control(&body).is_err());
+}
+
+#[test]
+fn cache_entry_s_maxage_rejects_stale_entries() {
+    let entry = CacheEntry {
+        response_body: Bytes::from_static(b"{}"),
+        model: "gpt-4o".to_string(),
+        created_at: Instant::now() - std::time::Duration::from_secs(10),
+        ttl_secs: None,
+    };
+
+    assert!(!cache_entry_is_fresh(&entry, Some(5)));
+    assert!(cache_entry_is_fresh(&entry, Some(30)));
+    assert!(cache_entry_is_fresh(&entry, None));
+}
+
+fn test_scope() -> CacheScope<'static> {
+    CacheScope {
+        backend_name: "openai",
+        auth_identity: "k1",
+        namespace: None,
+    }
+}
+
+fn anthropic_key(body: &serde_json::Value) -> String {
+    cache_key_for_request(body, CacheNamespace::Anthropic, &test_scope())
+}
+
+fn openai_key(body: &serde_json::Value) -> String {
+    cache_key_for_request(body, CacheNamespace::OpenAI, &test_scope())
+}
+
+#[test]
+fn cache_key_includes_anthropic_response_affecting_fields() {
+    let base = serde_json::json!({
+        "model": "claude-sonnet-4-6",
+        "max_tokens": 128,
+        "messages": [{"role": "user", "content": "hi"}]
+    });
+
+    let with_top_k = serde_json::json!({
+        "model": "claude-sonnet-4-6",
+        "max_tokens": 128,
+        "messages": [{"role": "user", "content": "hi"}],
+        "top_k": 10
+    });
+    let with_stop_sequences = serde_json::json!({
+        "model": "claude-sonnet-4-6",
+        "max_tokens": 128,
+        "messages": [{"role": "user", "content": "hi"}],
+        "stop_sequences": ["END"]
+    });
+    let with_thinking = serde_json::json!({
+        "model": "claude-sonnet-4-6",
+        "max_tokens": 128,
+        "messages": [{"role": "user", "content": "hi"}],
+        "thinking": {"type": "enabled", "budget_tokens": 1024}
+    });
+
+    assert_ne!(anthropic_key(&base), anthropic_key(&with_top_k));
+    assert_ne!(anthropic_key(&base), anthropic_key(&with_stop_sequences));
+    assert_ne!(anthropic_key(&base), anthropic_key(&with_thinking));
+}
+
+#[test]
+fn cache_key_includes_unknown_extra_fields() {
+    let base = serde_json::json!({
+        "model": "gpt-4o",
+        "messages": [{"role": "user", "content": "hi"}]
+    });
+    let with_extra = serde_json::json!({
+        "model": "gpt-4o",
+        "messages": [{"role": "user", "content": "hi"}],
+        "prediction": {"type": "content", "content": "expected"}
+    });
+
+    assert_ne!(openai_key(&base), openai_key(&with_extra));
+}
+
+#[test]
+fn cache_key_ignores_tracking_fields() {
+    let base = serde_json::json!({
+        "model": "gpt-4o",
+        "messages": [{"role": "user", "content": "hi"}]
+    });
+    let with_user = serde_json::json!({
+        "model": "gpt-4o",
+        "messages": [{"role": "user", "content": "hi"}],
+        "user": "end-user-123"
+    });
+    let with_metadata = serde_json::json!({
+        "model": "claude-sonnet-4-6",
+        "max_tokens": 128,
+        "messages": [{"role": "user", "content": "hi"}],
+        "metadata": {"user_id": "session-abc"}
+    });
+    let metadata_base = serde_json::json!({
+        "model": "claude-sonnet-4-6",
+        "max_tokens": 128,
+        "messages": [{"role": "user", "content": "hi"}]
+    });
+
+    assert_eq!(openai_key(&base), openai_key(&with_user));
+    assert_eq!(anthropic_key(&metadata_base), anthropic_key(&with_metadata));
+}
+
+#[test]
+fn cache_key_includes_parallel_tool_calls() {
+    let base = serde_json::json!({
+        "model": "gpt-4o",
+        "messages": [{"role": "user", "content": "hi"}],
+        "tools": [{
+            "type": "function",
+            "function": {
+                "name": "lookup",
+                "description": "lookup",
+                "parameters": {"type": "object", "properties": {}}
+            }
+        }]
+    });
+    let with_parallel_tool_calls = serde_json::json!({
+        "model": "gpt-4o",
+        "messages": [{"role": "user", "content": "hi"}],
+        "tools": [{
+            "type": "function",
+            "function": {
+                "name": "lookup",
+                "description": "lookup",
+                "parameters": {"type": "object", "properties": {}}
+            }
+        }],
+        "parallel_tool_calls": false
+    });
+
+    assert_ne!(openai_key(&base), openai_key(&with_parallel_tool_calls));
+}
diff --git a/crates/proxy/src/config/litellm/mod.rs b/crates/proxy/src/config/litellm/mod.rs
index 88fb88d..60483e3 100644
--- a/crates/proxy/src/config/litellm/mod.rs
+++ b/crates/proxy/src/config/litellm/mod.rs
@@ -1,667 +1,18 @@
-/// LiteLLM config.yaml parser.
-///
-/// Accepts LiteLLM's YAML config format (model_list, litellm_settings,
-/// router_settings, general_settings) and converts it to anyllm-proxy's
-/// MultiConfig + ModelRouter.
-use std::collections::HashMap;
-use std::sync::Arc;
+//! LiteLLM config.yaml parser.
+//!
+//! Accepts LiteLLM's YAML config format (model_list, litellm_settings,
+//! router_settings, general_settings) and converts it to anyllm-proxy's
+//! MultiConfig + ModelRouter.
+//!
+//! [`types`] holds the Serde structs mapping the LiteLLM schema; [`parser`]
+//! holds the conversion functions.
 
-use indexmap::IndexMap;
-use serde::Deserialize;
+mod parser;
+mod types;
 
-use super::model_router::{Deployment, ModelRouter, RoutingStrategy};
-use super::single::validate_gcp_identifier;
-use super::{
-    resolve_env_value, validate_base_url, BackendAuth, BackendConfig, BackendKind, ModelMapping,
-    MultiConfig, OpenAIApiFormat, TlsConfig,
-};
-
-// ---- Serde structs for LiteLLM config.yaml ----
-
-/// Root structure of a LiteLLM `config.yaml` file.
-#[derive(Deserialize)]
-pub(crate) struct LiteLLMConfig {
-    #[serde(default)]
-    model_list: Vec<LiteLLMModelEntry>,
-    #[serde(default)]
-    litellm_settings: Option<LiteLLMSettings>,
-    #[serde(default)]
-    router_settings: Option<RouterSettings>,
-    #[serde(default)]
-    general_settings: Option<GeneralSettings>,
-}
-
-#[derive(Deserialize)]
-struct LiteLLMModelEntry {
-    model_name: String,
-    litellm_params: LiteLLMParams,
-}
-
-#[derive(Deserialize)]
-struct LiteLLMParams {
-    model: String,
-    api_base: Option<String>,
-    api_key: Option<String>,
-    rpm: Option<u32>,
-    tpm: Option<u64>,
-    weight: Option<u32>,
-    // Azure-specific
-    api_version: Option<String>,
-    // Vertex-specific
-    vertex_project: Option<String>,
-    vertex_location: Option<String>,
-    // Bedrock-specific
-    aws_access_key_id: Option<String>,
-    aws_secret_access_key: Option<String>,
-    aws_region_name: Option<String>,
-    // Catch unknown fields silently (LiteLLM has many we don't support).
-    #[serde(flatten)]
-    _extra: serde_json::Map<String, serde_json::Value>,
-}
-
-#[derive(Deserialize)]
-struct LiteLLMSettings {
-    #[serde(default)]
-    num_retries: Option<u32>,
-    #[serde(default)]
-    request_timeout: Option<u64>,
-    #[serde(default)]
-    callbacks: Vec<String>,
-    #[serde(flatten)]
-    _extra: serde_json::Map<String, serde_json::Value>,
-}
-
-#[derive(Deserialize)]
-struct RouterSettings {
-    #[serde(default)]
-    routing_strategy: Option<String>,
-    #[serde(flatten)]
-    _extra: serde_json::Map<String, serde_json::Value>,
-}
-
-/// Map LiteLLM routing_strategy string to our enum.
-pub(crate) fn parse_routing_strategy_str(s: &str) -> RoutingStrategy {
-    match s.to_ascii_lowercase().replace('_', "-").as_str() {
-        "simple-shuffle" | "round-robin" => RoutingStrategy::RoundRobin,
-        "least-busy" => RoutingStrategy::LeastBusy,
-        "latency-based-routing" | "latency-based" => RoutingStrategy::LatencyBased,
-        "usage-based-routing" | "usage-based" => RoutingStrategy::LeastBusy,
-        "weighted" => RoutingStrategy::Weighted,
-        "cost-based" => RoutingStrategy::CostBased,
-        other => {
-            tracing::warn!(
-                strategy = %other,
-                "unknown routing_strategy, falling back to round-robin"
-            );
-            RoutingStrategy::RoundRobin
-        }
-    }
-}
-
-#[derive(Deserialize)]
-struct GeneralSettings {
-    master_key: Option<String>,
-    #[serde(flatten)]
-    _extra: serde_json::Map<String, serde_json::Value>,
-}
-
-// ---- Provider parsing ----
-
-/// Parse LiteLLM's "provider/model_name" format.
-/// No prefix defaults to OpenAI (matches LiteLLM behavior).
-/// Returns (kind, model_name, stub_provider) where stub_provider is set for
-/// registry-resolved OpenAI-compatible providers so callers can use their default URL.
-fn parse_provider_model(
-    model: &str,
-) -> (
-    BackendKind,
-    String,
-    Option<&'static anyllm_providers::ProviderDef>,
-) {
-    let (provider, model_name) = model.split_once('/').unwrap_or(("openai", model));
-    let mut stub_provider: Option<&'static anyllm_providers::ProviderDef> = None;
-    let kind = match provider.to_ascii_lowercase().as_str() {
-        "openai" => BackendKind::OpenAI,
-        "azure" => BackendKind::AzureOpenAI,
-        "vertex_ai" | "vertex" => BackendKind::Vertex,
-        "gemini" => BackendKind::Gemini,
-        "anthropic" => {
-            stub_provider = anyllm_providers::get_provider("anthropic");
-            BackendKind::Anthropic
-        }
-        "bedrock" => BackendKind::Bedrock,
-        other => {
-            // Try the provider registry for known OpenAI-compatible providers
-            // (e.g. "groq", "together_ai", "mistral", etc.)
-            let prefix_with_slash = format!("{other}/");
-            if let Some(p) = anyllm_providers::find_by_litellm_prefix(&prefix_with_slash) {
-                let resolved = match anyllm_providers::resolve_backend(p.id) {
-                    Some(("openai", _)) => {
-                        stub_provider = Some(p);
-                        BackendKind::OpenAI
-                    }
-                    Some(("anthropic", _)) => BackendKind::Anthropic,
-                    Some(("gemini", _)) => BackendKind::Gemini,
-                    Some(("vertex", _)) => BackendKind::Vertex,
-                    Some(("azure", _)) => BackendKind::AzureOpenAI,
-                    Some(("bedrock", _)) => BackendKind::Bedrock,
-                    _ => {
-                        tracing::warn!(provider = %other, "provider found in registry but protocol not mappable, treating as openai-compatible");
-                        stub_provider = Some(p);
-                        BackendKind::OpenAI
-                    }
-                };
-                resolved
-            } else {
-                tracing::warn!(
-                    provider = %other,
-                    "unknown LiteLLM provider, treating as openai-compatible"
-                );
-                BackendKind::OpenAI
-            }
-        }
-    };
-    (kind, model_name.to_string(), stub_provider)
-}
-
-fn provider_id_for_litellm_model(
-    model: &str,
-    kind: &BackendKind,
-    stub_provider: Option<&'static anyllm_providers::ProviderDef>,
-) -> String {
-    if let Some(provider) = stub_provider {
-        return provider.id.to_string();
-    }
-
-    let raw_provider = model
-        .split_once('/')
-        .map(|(provider, _)| provider)
-        .unwrap_or("openai")
-        .to_ascii_lowercase();
-
-    match kind {
-        BackendKind::OpenAI => raw_provider,
-        BackendKind::AzureOpenAI => "azure".to_string(),
-        BackendKind::Vertex => "vertex_ai".to_string(),
-        BackendKind::Gemini => "gemini".to_string(),
-        BackendKind::Anthropic => "anthropic".to_string(),
-        BackendKind::Bedrock => "bedrock".to_string(),
-    }
-}
-
-// ---- Backend deduplication key ----
-
-/// Unique identity for a backend: same kind + base_url + api_key share one connection pool.
-#[derive(Hash, PartialEq, Eq, Clone)]
-struct BackendKey {
-    kind: String,
-    provider_id: String,
-    base_url: String,
-    /// Hash of the API key (not the key itself) to avoid holding secrets in hash keys.
-    api_key_hash: u64,
-}
-
-fn hash_string(s: &str) -> u64 {
-    use std::hash::{Hash, Hasher};
-    let mut hasher = std::collections::hash_map::DefaultHasher::new();
-    s.hash(&mut hasher);
-    hasher.finish()
-}
-
-// ---- Conversion ----
-
-/// Parse a LiteLLM config.yaml string and produce a MultiConfig + ModelRouter.
-///
-/// # Panics
-/// On invalid YAML, missing required fields, or unresolvable env var references.
-/// Parsed result from a LiteLLM config file.
-pub struct LiteLLMParsed {
-    pub multi_config: MultiConfig,
-    pub router: ModelRouter,
-    /// Webhook callback URLs from litellm_settings.callbacks (non-named entries).
-    pub callback_urls: Vec<String>,
-    /// True when "langfuse" appears in litellm_settings.callbacks.
-    pub langfuse_requested: bool,
-    /// Resolved `general_settings.master_key`, if present.
-    /// Caller should apply as PROXY_API_KEYS if that var is not already set.
-    pub master_key: Option<String>,
-}
-
-/// Parse a LiteLLM YAML config and return the multi-backend config + model router pair.
-pub fn from_litellm_yaml(yaml: &str) -> (MultiConfig, ModelRouter) {
-    let parsed = parse_litellm_yaml(yaml);
-    (parsed.multi_config, parsed.router)
-}
-
-/// Parse a LiteLLM YAML config into the intermediate `LiteLLMParsed` struct.
-/// Panics on invalid YAML (startup-time validation; misconfiguration is unrecoverable).
-pub fn parse_litellm_yaml(yaml: &str) -> LiteLLMParsed {
-    let config: LiteLLMConfig =
-        serde_yaml::from_str(yaml).unwrap_or_else(|e| panic!("invalid LiteLLM config YAML: {e}"));
-
-    if config.model_list.is_empty() {
-        panic!("LiteLLM config must define at least one entry in model_list");
-    }
-
-    // Resolve general_settings.master_key but do not call set_var here.
-    // The caller applies it in the consolidated env override block.
-    let master_key = if let Some(ref gs) = config.general_settings {
-        let mk = gs.master_key.as_ref().map(|mk| {
-            resolve_env_value(mk).unwrap_or_else(|e| panic!("general_settings.master_key: {e}"))
-        });
-        // Log unsupported keys at warn.
-        for key in gs._extra.keys() {
-            tracing::warn!(key = %key, "unsupported general_settings key (ignored)");
-        }
-        mk
-    } else {
-        None
-    };
-
-    if let Some(ref ls) = config.litellm_settings {
-        for key in ls._extra.keys() {
-            tracing::warn!(key = %key, "unsupported litellm_settings key (ignored)");
-        }
-    }
-
-    if let Some(ref rs) = config.router_settings {
-        for key in rs._extra.keys() {
-            tracing::warn!(key = %key, "unsupported router_settings key (ignored)");
-        }
-    }
-
-    let listen_port = std::env::var("LISTEN_PORT")
-        .ok()
-        .and_then(|v| v.parse().ok())
-        .unwrap_or(3000);
-
-    let log_bodies = std::env::var("LOG_BODIES")
-        .map(|v| v == "true" || v == "1")
-        .unwrap_or(false);
-    let redact_secrets = std::env::var("REDACT_SECRETS")
-        .map(|v| v == "true" || v == "1")
-        .unwrap_or(false);
-    let anthropic_thinking_repair = std::env::var("ANTHROPIC_THINKING_REPAIR")
-        .map(|v| v == "true" || v == "1")
-        .unwrap_or(false);
-    let pxpipe_compress = std::env::var("PXPIPE_COMPRESS")
-        .map(|v| v == "true" || v == "1")
-        .unwrap_or(false);
-
-    let tls = TlsConfig::from_env();
-
-    // Group model_list entries into deduplicated backends + deployment list.
-    let mut backend_map: HashMap<BackendKey, (String, BackendConfig)> = HashMap::new();
-    let mut backend_counter = 0u32;
-    // model_name -> Vec<(backend_name, actual_model, rpm, tpm)>
-    let mut model_deployments: HashMap<String, Vec<DeploymentSpec>> = HashMap::new();
-
-    for entry in &config.model_list {
-        let (kind, actual_model, stub_provider) = parse_provider_model(&entry.litellm_params.model);
-        let provider_id =
-            provider_id_for_litellm_model(&entry.litellm_params.model, &kind, stub_provider);
-        let params = &entry.litellm_params;
-
-        let api_key = super::sanitize_api_key(
-            &params
-                .api_key
-                .as_deref()
-                .map(|v| resolve_env_value(v).unwrap_or_else(|e| panic!("model_list api_key: {e}")))
-                .unwrap_or_else(|| {
-                    // Fall back to the provider's own env vars when no api_key in YAML.
-                    stub_provider
-                        .and_then(|p| p.env_vars.iter().find_map(|v| std::env::var(v).ok()))
-                        .or_else(|| {
-                            (kind == BackendKind::Anthropic)
-                                .then(|| std::env::var("ANTHROPIC_AUTH_TOKEN").ok())
-                                .flatten()
-                        })
-                        .unwrap_or_default()
-                }),
-        );
-
-        let base_url = resolve_base_url(&kind, params, stub_provider, &actual_model);
-
-        let bk = BackendKey {
-            kind: format!("{kind:?}"),
-            provider_id: provider_id.clone(),
-            base_url: base_url.clone(),
-            api_key_hash: hash_string(&api_key),
-        };
-
-        let backend_name = if let Some((name, _)) = backend_map.get(&bk) {
-            name.clone()
-        } else {
-            let name = format!("litellm_{backend_counter}");
-            backend_counter += 1;
-
-            let bc = build_backend_config(
-                &name,
-                &kind,
-                &provider_id,
-                &api_key,
-                &base_url,
-                params,
-                &tls,
-                log_bodies,
-                &config,
-            );
-            backend_map.insert(bk, (name.clone(), bc));
-            name
-        };
-
-        model_deployments
-            .entry(entry.model_name.clone())
-            .or_default()
-            .push(DeploymentSpec {
-                backend_name,
-                actual_model,
-                rpm: params.rpm,
-                tpm: params.tpm,
-                weight: params.weight,
-            });
-    }
-
-    // Build MultiConfig backends (ordered).
-    let mut backends = IndexMap::new();
-    for (name, bc) in backend_map.values() {
-        backends.insert(name.clone(), bc.clone());
-    }
-
-    let default_backend = backends
-        .keys()
-        .next()
-        .cloned()
-        .expect("at least one backend");
-
-    let multi = MultiConfig {
-        listen_port,
-        log_bodies,
-        redact_secrets,
-        anthropic_thinking_repair,
-        pxpipe_compress,
-        forward_client_auth: crate::config::env_bool_flag("ANTHROPIC_FORWARD_CLIENT_AUTH"),
-        default_backend,
-        backends,
-        expose_degradation_warnings: false, // overridden in MultiConfig::load()
-    };
-
-    // Determine routing strategy from router_settings.
-    let strategy = config
-        .router_settings
-        .as_ref()
-        .and_then(|rs| rs.routing_strategy.as_deref())
-        .map(parse_routing_strategy_str)
-        .unwrap_or_default();
-
-    if strategy != RoutingStrategy::RoundRobin {
-        tracing::info!(strategy = ?strategy, "using routing strategy from config");
-    }
-
-    // Build ModelRouter.
-    let mut routes: HashMap<String, Vec<Arc<Deployment>>> = HashMap::new();
-    for (model_name, specs) in model_deployments {
-        let deployments = specs
-            .into_iter()
-            .map(|s| {
-                Arc::new(Deployment::with_weight(
-                    s.backend_name,
-                    s.actual_model,
-                    s.rpm,
-                    s.tpm,
-                    s.weight.unwrap_or(1),
-                ))
-            })
-            .collect();
-        routes.insert(model_name, deployments);
-    }
-
-    let router = ModelRouter::with_strategy(routes, strategy);
-
-    let callbacks = config
-        .litellm_settings
-        .as_ref()
-        .map(|s| s.callbacks.clone())
-        .unwrap_or_default();
-    let langfuse_requested = callbacks.iter().any(|c| c.eq_ignore_ascii_case("langfuse"));
-    let callback_urls: Vec<String> = callbacks
-        .into_iter()
-        .filter(|c| !c.eq_ignore_ascii_case("langfuse"))
-        .collect();
-
-    LiteLLMParsed {
-        multi_config: multi,
-        router,
-        callback_urls,
-        langfuse_requested,
-        master_key,
-    }
-}
-
-struct DeploymentSpec {
-    backend_name: String,
-    actual_model: String,
-    rpm: Option<u32>,
-    tpm: Option<u64>,
-    weight: Option<u32>,
-}
-
-/// Extract `general_settings.master_key` from a LiteLLM YAML string without
-/// performing full config parsing. Used by the synchronous `fn main()` to apply
-/// the key via `set_var` before the tokio runtime spawns worker threads.
-pub fn extract_master_key(yaml: &str) -> Option<String> {
-    #[derive(Deserialize)]
-    struct Probe {
-        general_settings: Option<GeneralSettings>,
-    }
-    let probe: Probe = serde_yaml::from_str(yaml).ok()?;
-    let gs = probe.general_settings?;
-    let raw = gs.master_key?;
-    resolve_env_value(&raw).ok()
-}
-
-/// Determine the base URL for a deployment, applying provider-specific defaults.
-fn resolve_base_url(
-    kind: &BackendKind,
-    params: &LiteLLMParams,
-    stub_provider: Option<&'static anyllm_providers::ProviderDef>,
-    actual_model: &str,
-) -> String {
-    if let Some(ref url) = params.api_base {
-        let resolved =
-            resolve_env_value(url).unwrap_or_else(|e| panic!("model_list api_base: {e}"));
-        if *kind == BackendKind::AzureOpenAI {
-            let api_version = params.api_version.as_deref().unwrap_or("2024-10-21");
-            if !resolved.contains("/openai/deployments/") {
-                let deployment = azure_deployment_from_model(actual_model);
-                return format!(
-                    "{}/openai/deployments/{deployment}/chat/completions?api-version={api_version}",
-                    resolved.trim_end_matches('/'),
-                );
-            }
-            // api_base is already a deployment URL. Ensure the required api-version
-            // query is present so a partial deployment URL still authenticates.
-            if !resolved.contains("api-version=") {
-                let sep = if resolved.contains('?') { '&' } else { '?' };
-                return format!("{resolved}{sep}api-version={api_version}");
-            }
-            return resolved;
-        }
-        return resolved;
-    }
-    match kind {
-        BackendKind::OpenAI => {
-            // Use the stub provider's default URL when available (e.g. groq, xai, mistral).
-            // If a known provider has no safe global default, require explicit api_base.
-            let url = if let Some(provider) = stub_provider {
-                if provider.default_base_url.is_empty() {
-                    panic!(
-                        "model_list provider '{}' requires api_base because it has no safe global API base URL",
-                        provider.id
-                    );
-                }
-                provider.default_base_url
-            } else {
-                "https://api.openai.com"
-            };
-            super::strip_v1_suffix(url).to_string()
-        }
-        BackendKind::Gemini => {
-            "https://generativelanguage.googleapis.com/v1beta/openai".to_string()
-        }
-        BackendKind::Anthropic => std::env::var("ANTHROPIC_BASE_URL")
-            .unwrap_or_else(|_| "https://api.anthropic.com".to_string()),
-        BackendKind::Bedrock => {
-            // For Bedrock, base_url stores the region.
-            params
-                .aws_region_name
-                .as_deref()
-                .map(|v| v.to_string())
-                .or_else(|| std::env::var("AWS_REGION").ok())
-                .unwrap_or_else(|| "us-east-1".to_string())
-        }
-        // Azure and Vertex require api_base in the config.
-        BackendKind::AzureOpenAI => {
-            panic!("api_base is required for azure deployments in model_list")
-        }
-        BackendKind::Vertex => {
-            let project = params.vertex_project.as_deref().unwrap_or_else(|| {
-                panic!("vertex_project is required for vertex deployments in model_list")
-            });
-            let location = params.vertex_location.as_deref().unwrap_or_else(|| {
-                panic!("vertex_location is required for vertex deployments in model_list")
-            });
-            validate_gcp_identifier("vertex_project", project);
-            validate_gcp_identifier("vertex_location", location);
-            format!(
-                "https://{location}-aiplatform.googleapis.com/v1/projects/{project}/locations/{location}/endpoints/openapi"
-            )
-        }
-    }
-}
-
-// LiteLLM Azure model names may carry a route-group marker prefix that selects a
-// request-shaping path but is not part of the deployment name. This is the complete
-// set of such markers; they are defined only here (no external producer). Add a
-// marker here if a new Azure route group is introduced.
-fn azure_deployment_from_model(model: &str) -> &str {
-    for marker in ["o_series/", "gpt5_series/"] {
-        if let Some(deployment) = model.strip_prefix(marker) {
-            if !deployment.is_empty() {
-                return deployment;
-            }
-        }
-    }
-    model
-}
-
-/// Build a BackendConfig from LiteLLM model_list params.
-#[allow(clippy::too_many_arguments)]
-fn build_backend_config(
-    name: &str,
-    kind: &BackendKind,
-    provider_id: &str,
-    api_key: &str,
-    base_url: &str,
-    params: &LiteLLMParams,
-    tls: &TlsConfig,
-    log_bodies: bool,
-    config: &LiteLLMConfig,
-) -> BackendConfig {
-    let backend_auth = match kind {
-        BackendKind::AzureOpenAI => BackendAuth::AzureApiKey(api_key.to_string()),
-        BackendKind::Gemini | BackendKind::Vertex => BackendAuth::GoogleApiKey(api_key.to_string()),
-        BackendKind::Anthropic => BackendAuth::anthropic_from_api_key_like(api_key.to_string()),
-        _ => BackendAuth::BearerToken(api_key.to_string()),
-    };
-
-    // For Azure, resolve_base_url already produced the full deployment URL
-    // (deployment name + api-version), so use it as-is here.
-    let effective_url = if *kind == BackendKind::AzureOpenAI {
-        base_url.to_string()
-    } else {
-        // Validate non-Azure URLs.
-        if *kind != BackendKind::Bedrock {
-            if let Err(e) = validate_base_url(base_url) {
-                panic!("backend '{name}' base_url rejected: {e}");
-            }
-        }
-        base_url.to_string()
-    };
-
-    // Bedrock credentials.
-    let bedrock_credentials = if *kind == BackendKind::Bedrock {
-        let region = params
-            .aws_region_name
-            .as_deref()
-            .map(|v| resolve_env_value(v).unwrap_or_else(|e| panic!("backend '{name}': {e}")))
-            .or_else(|| std::env::var("AWS_REGION").ok())
-            .unwrap_or_else(|| "us-east-1".to_string());
-
-        let access_key = params
-            .aws_access_key_id
-            .as_deref()
-            .map(|v| resolve_env_value(v).unwrap_or_else(|e| panic!("backend '{name}': {e}")))
-            .or_else(|| std::env::var("AWS_ACCESS_KEY_ID").ok())
-            .unwrap_or_else(|| panic!("backend '{name}': aws_access_key_id required for bedrock"));
-
-        let secret_key = params
-            .aws_secret_access_key
-            .as_deref()
-            .map(|v| resolve_env_value(v).unwrap_or_else(|e| panic!("backend '{name}': {e}")))
-            .or_else(|| std::env::var("AWS_SECRET_ACCESS_KEY").ok())
-            .unwrap_or_else(|| {
-                panic!("backend '{name}': aws_secret_access_key required for bedrock")
-            });
-
-        // Store region as base_url for Bedrock (matches existing convention).
-        // The effective_url was already set to the region string.
-        let _ = region; // region is used as base_url via resolve_base_url
-
-        Some(aws_credential_types::Credentials::new(
-            access_key,
-            secret_key,
-            None, // session token not commonly in LiteLLM configs
-            None,
-            "litellm-config",
-        ))
-    } else {
-        None
-    };
-
-    // Placeholder model mapping: with model router, these are not used for routing.
-    // They serve as fallback for Anthropic model name translation if needed.
-    let model_mapping = ModelMapping {
-        big_model: String::new(),
-        small_model: String::new(),
-    };
-
-    let _num_retries = config.litellm_settings.as_ref().and_then(|s| s.num_retries);
-    let _request_timeout = config
-        .litellm_settings
-        .as_ref()
-        .and_then(|s| s.request_timeout);
-
-    BackendConfig {
-        kind: kind.clone(),
-        provider_id: Some(provider_id.to_string()),
-        api_key: api_key.to_string(),
-        base_url: effective_url,
-        api_format: OpenAIApiFormat::Chat,
-        model_mapping,
-        tls: tls.clone(),
-        backend_auth,
-        log_bodies,
-        omit_stream_options: false,
-        stream_timeout_secs: std::env::var("REQUEST_TIMEOUT_SECS")
-            .ok()
-            .and_then(|v| v.parse().ok())
-            .unwrap_or(900u64),
-        bedrock_credentials,
-        // Config-file backends are validated against SSRF at load time; no auto-relax.
-        allow_local_ssrf: false,
-    }
-}
+pub(crate) use parser::parse_routing_strategy_str;
+pub use parser::{extract_master_key, from_litellm_yaml, parse_litellm_yaml};
+pub use types::LiteLLMParsed;
 
 #[cfg(test)]
 mod tests;
diff --git a/crates/proxy/src/config/litellm/parser.rs b/crates/proxy/src/config/litellm/parser.rs
new file mode 100644
index 0000000..48f5569
--- /dev/null
+++ b/crates/proxy/src/config/litellm/parser.rs
@@ -0,0 +1,576 @@
+//! Conversion logic: turn parsed LiteLLM YAML structs into anyllm-proxy's
+//! `MultiConfig` + `ModelRouter`.
+
+use std::collections::HashMap;
+use std::sync::Arc;
+
+use indexmap::IndexMap;
+use serde::Deserialize;
+
+use super::types::{GeneralSettings, LiteLLMConfig, LiteLLMParams, LiteLLMParsed};
+use crate::config::model_router::{Deployment, ModelRouter, RoutingStrategy};
+use crate::config::single::validate_gcp_identifier;
+use crate::config::{
+    resolve_env_value, sanitize_api_key, strip_v1_suffix, validate_base_url, BackendAuth,
+    BackendConfig, BackendKind, ModelMapping, MultiConfig, OpenAIApiFormat, TlsConfig,
+};
+
+// ---- Provider parsing ----
+
+/// Map LiteLLM routing_strategy string to our enum.
+pub(crate) fn parse_routing_strategy_str(s: &str) -> RoutingStrategy {
+    match s.to_ascii_lowercase().replace('_', "-").as_str() {
+        "simple-shuffle" | "round-robin" => RoutingStrategy::RoundRobin,
+        "least-busy" => RoutingStrategy::LeastBusy,
+        "latency-based-routing" | "latency-based" => RoutingStrategy::LatencyBased,
+        "usage-based-routing" | "usage-based" => RoutingStrategy::LeastBusy,
+        "weighted" => RoutingStrategy::Weighted,
+        "cost-based" => RoutingStrategy::CostBased,
+        other => {
+            tracing::warn!(
+                strategy = %other,
+                "unknown routing_strategy, falling back to round-robin"
+            );
+            RoutingStrategy::RoundRobin
+        }
+    }
+}
+
+/// Parse LiteLLM's "provider/model_name" format.
+/// No prefix defaults to OpenAI (matches LiteLLM behavior).
+/// Returns (kind, model_name, stub_provider) where stub_provider is set for
+/// registry-resolved OpenAI-compatible providers so callers can use their default URL.
+pub(super) fn parse_provider_model(
+    model: &str,
+) -> (
+    BackendKind,
+    String,
+    Option<&'static anyllm_providers::ProviderDef>,
+) {
+    let (provider, model_name) = model.split_once('/').unwrap_or(("openai", model));
+    let mut stub_provider: Option<&'static anyllm_providers::ProviderDef> = None;
+    let kind = match provider.to_ascii_lowercase().as_str() {
+        "openai" => BackendKind::OpenAI,
+        "azure" => BackendKind::AzureOpenAI,
+        "vertex_ai" | "vertex" => BackendKind::Vertex,
+        "gemini" => BackendKind::Gemini,
+        "anthropic" => {
+            stub_provider = anyllm_providers::get_provider("anthropic");
+            BackendKind::Anthropic
+        }
+        "bedrock" => BackendKind::Bedrock,
+        other => {
+            // Try the provider registry for known OpenAI-compatible providers
+            // (e.g. "groq", "together_ai", "mistral", etc.)
+            let prefix_with_slash = format!("{other}/");
+            if let Some(p) = anyllm_providers::find_by_litellm_prefix(&prefix_with_slash) {
+                let resolved = match anyllm_providers::resolve_backend(p.id) {
+                    Some(("openai", _)) => {
+                        stub_provider = Some(p);
+                        BackendKind::OpenAI
+                    }
+                    Some(("anthropic", _)) => BackendKind::Anthropic,
+                    Some(("gemini", _)) => BackendKind::Gemini,
+                    Some(("vertex", _)) => BackendKind::Vertex,
+                    Some(("azure", _)) => BackendKind::AzureOpenAI,
+                    Some(("bedrock", _)) => BackendKind::Bedrock,
+                    _ => {
+                        tracing::warn!(provider = %other, "provider found in registry but protocol not mappable, treating as openai-compatible");
+                        stub_provider = Some(p);
+                        BackendKind::OpenAI
+                    }
+                };
+                resolved
+            } else {
+                tracing::warn!(
+                    provider = %other,
+                    "unknown LiteLLM provider, treating as openai-compatible"
+                );
+                BackendKind::OpenAI
+            }
+        }
+    };
+    (kind, model_name.to_string(), stub_provider)
+}
+
+fn provider_id_for_litellm_model(
+    model: &str,
+    kind: &BackendKind,
+    stub_provider: Option<&'static anyllm_providers::ProviderDef>,
+) -> String {
+    if let Some(provider) = stub_provider {
+        return provider.id.to_string();
+    }
+
+    let raw_provider = model
+        .split_once('/')
+        .map(|(provider, _)| provider)
+        .unwrap_or("openai")
+        .to_ascii_lowercase();
+
+    match kind {
+        BackendKind::OpenAI => raw_provider,
+        BackendKind::AzureOpenAI => "azure".to_string(),
+        BackendKind::Vertex => "vertex_ai".to_string(),
+        BackendKind::Gemini => "gemini".to_string(),
+        BackendKind::Anthropic => "anthropic".to_string(),
+        BackendKind::Bedrock => "bedrock".to_string(),
+    }
+}
+
+// ---- Backend deduplication key ----
+
+/// Unique identity for a backend: same kind + base_url + api_key share one connection pool.
+#[derive(Hash, PartialEq, Eq, Clone)]
+struct BackendKey {
+    kind: String,
+    provider_id: String,
+    base_url: String,
+    /// Hash of the API key (not the key itself) to avoid holding secrets in hash keys.
+    api_key_hash: u64,
+}
+
+fn hash_string(s: &str) -> u64 {
+    use std::hash::{Hash, Hasher};
+    let mut hasher = std::collections::hash_map::DefaultHasher::new();
+    s.hash(&mut hasher);
+    hasher.finish()
+}
+
+// ---- Conversion ----
+
+/// Parse a LiteLLM YAML config and return the multi-backend config + model router pair.
+pub fn from_litellm_yaml(yaml: &str) -> (MultiConfig, ModelRouter) {
+    let parsed = parse_litellm_yaml(yaml);
+    (parsed.multi_config, parsed.router)
+}
+
+/// Parse a LiteLLM YAML config into the intermediate `LiteLLMParsed` struct.
+/// Panics on invalid YAML (startup-time validation; misconfiguration is unrecoverable).
+pub fn parse_litellm_yaml(yaml: &str) -> LiteLLMParsed {
+    let config: LiteLLMConfig =
+        serde_yaml::from_str(yaml).unwrap_or_else(|e| panic!("invalid LiteLLM config YAML: {e}"));
+
+    if config.model_list.is_empty() {
+        panic!("LiteLLM config must define at least one entry in model_list");
+    }
+
+    // Resolve general_settings.master_key but do not call set_var here.
+    // The caller applies it in the consolidated env override block.
+    let master_key = if let Some(ref gs) = config.general_settings {
+        let mk = gs.master_key.as_ref().map(|mk| {
+            resolve_env_value(mk).unwrap_or_else(|e| panic!("general_settings.master_key: {e}"))
+        });
+        // Log unsupported keys at warn.
+        for key in gs._extra.keys() {
+            tracing::warn!(key = %key, "unsupported general_settings key (ignored)");
+        }
+        mk
+    } else {
+        None
+    };
+
+    if let Some(ref ls) = config.litellm_settings {
+        for key in ls._extra.keys() {
+            tracing::warn!(key = %key, "unsupported litellm_settings key (ignored)");
+        }
+    }
+
+    if let Some(ref rs) = config.router_settings {
+        for key in rs._extra.keys() {
+            tracing::warn!(key = %key, "unsupported router_settings key (ignored)");
+        }
+    }
+
+    let listen_port = std::env::var("LISTEN_PORT")
+        .ok()
+        .and_then(|v| v.parse().ok())
+        .unwrap_or(3000);
+
+    let log_bodies = std::env::var("LOG_BODIES")
+        .map(|v| v == "true" || v == "1")
+        .unwrap_or(false);
+    let redact_secrets = std::env::var("REDACT_SECRETS")
+        .map(|v| v == "true" || v == "1")
+        .unwrap_or(false);
+    let anthropic_thinking_repair = std::env::var("ANTHROPIC_THINKING_REPAIR")
+        .map(|v| v == "true" || v == "1")
+        .unwrap_or(false);
+    let pxpipe_compress = std::env::var("PXPIPE_COMPRESS")
+        .map(|v| v == "true" || v == "1")
+        .unwrap_or(false);
+
+    let tls = TlsConfig::from_env();
+
+    // Group model_list entries into deduplicated backends + deployment list.
+    let mut backend_map: HashMap<BackendKey, (String, BackendConfig)> = HashMap::new();
+    let mut backend_counter = 0u32;
+    // model_name -> Vec<(backend_name, actual_model, rpm, tpm)>
+    let mut model_deployments: HashMap<String, Vec<DeploymentSpec>> = HashMap::new();
+
+    for entry in &config.model_list {
+        let (kind, actual_model, stub_provider) = parse_provider_model(&entry.litellm_params.model);
+        let provider_id =
+            provider_id_for_litellm_model(&entry.litellm_params.model, &kind, stub_provider);
+        let params = &entry.litellm_params;
+
+        let api_key = sanitize_api_key(
+            &params
+                .api_key
+                .as_deref()
+                .map(|v| resolve_env_value(v).unwrap_or_else(|e| panic!("model_list api_key: {e}")))
+                .unwrap_or_else(|| {
+                    // Fall back to the provider's own env vars when no api_key in YAML.
+                    stub_provider
+                        .and_then(|p| p.env_vars.iter().find_map(|v| std::env::var(v).ok()))
+                        .or_else(|| {
+                            (kind == BackendKind::Anthropic)
+                                .then(|| std::env::var("ANTHROPIC_AUTH_TOKEN").ok())
+                                .flatten()
+                        })
+                        .unwrap_or_default()
+                }),
+        );
+
+        let base_url = resolve_base_url(&kind, params, stub_provider, &actual_model);
+
+        let bk = BackendKey {
+            kind: format!("{kind:?}"),
+            provider_id: provider_id.clone(),
+            base_url: base_url.clone(),
+            api_key_hash: hash_string(&api_key),
+        };
+
+        let backend_name = if let Some((name, _)) = backend_map.get(&bk) {
+            name.clone()
+        } else {
+            let name = format!("litellm_{backend_counter}");
+            backend_counter += 1;
+
+            let bc = build_backend_config(
+                &name,
+                &kind,
+                &provider_id,
+                &api_key,
+                &base_url,
+                params,
+                &tls,
+                log_bodies,
+                &config,
+            );
+            backend_map.insert(bk, (name.clone(), bc));
+            name
+        };
+
+        model_deployments
+            .entry(entry.model_name.clone())
+            .or_default()
+            .push(DeploymentSpec {
+                backend_name,
+                actual_model,
+                rpm: params.rpm,
+                tpm: params.tpm,
+                weight: params.weight,
+            });
+    }
+
+    // Build MultiConfig backends (ordered).
+    let mut backends = IndexMap::new();
+    for (name, bc) in backend_map.values() {
+        backends.insert(name.clone(), bc.clone());
+    }
+
+    let default_backend = backends
+        .keys()
+        .next()
+        .cloned()
+        .expect("at least one backend");
+
+    let multi = MultiConfig {
+        listen_port,
+        log_bodies,
+        redact_secrets,
+        anthropic_thinking_repair,
+        pxpipe_compress,
+        forward_client_auth: crate::config::env_bool_flag("ANTHROPIC_FORWARD_CLIENT_AUTH"),
+        default_backend,
+        backends,
+        expose_degradation_warnings: false, // overridden in MultiConfig::load()
+    };
+
+    // Determine routing strategy from router_settings.
+    let strategy = config
+        .router_settings
+        .as_ref()
+        .and_then(|rs| rs.routing_strategy.as_deref())
+        .map(parse_routing_strategy_str)
+        .unwrap_or_default();
+
+    if strategy != RoutingStrategy::RoundRobin {
+        tracing::info!(strategy = ?strategy, "using routing strategy from config");
+    }
+
+    // Build ModelRouter.
+    let mut routes: HashMap<String, Vec<Arc<Deployment>>> = HashMap::new();
+    for (model_name, specs) in model_deployments {
+        let deployments = specs
+            .into_iter()
+            .map(|s| {
+                Arc::new(Deployment::with_weight(
+                    s.backend_name,
+                    s.actual_model,
+                    s.rpm,
+                    s.tpm,
+                    s.weight.unwrap_or(1),
+                ))
+            })
+            .collect();
+        routes.insert(model_name, deployments);
+    }
+
+    let router = ModelRouter::with_strategy(routes, strategy);
+
+    let callbacks = config
+        .litellm_settings
+        .as_ref()
+        .map(|s| s.callbacks.clone())
+        .unwrap_or_default();
+    let langfuse_requested = callbacks.iter().any(|c| c.eq_ignore_ascii_case("langfuse"));
+    let callback_urls: Vec<String> = callbacks
+        .into_iter()
+        .filter(|c| !c.eq_ignore_ascii_case("langfuse"))
+        .collect();
+
+    LiteLLMParsed {
+        multi_config: multi,
+        router,
+        callback_urls,
+        langfuse_requested,
+        master_key,
+    }
+}
+
+struct DeploymentSpec {
+    backend_name: String,
+    actual_model: String,
+    rpm: Option<u32>,
+    tpm: Option<u64>,
+    weight: Option<u32>,
+}
+
+/// Extract `general_settings.master_key` from a LiteLLM YAML string without
+/// performing full config parsing. Used by the synchronous `fn main()` to apply
+/// the key via `set_var` before the tokio runtime spawns worker threads.
+pub fn extract_master_key(yaml: &str) -> Option<String> {
+    #[derive(Deserialize)]
+    struct Probe {
+        general_settings: Option<GeneralSettings>,
+    }
+    let probe: Probe = serde_yaml::from_str(yaml).ok()?;
+    let gs = probe.general_settings?;
+    let raw = gs.master_key?;
+    resolve_env_value(&raw).ok()
+}
+
+/// Determine the base URL for a deployment, applying provider-specific defaults.
+fn resolve_base_url(
+    kind: &BackendKind,
+    params: &LiteLLMParams,
+    stub_provider: Option<&'static anyllm_providers::ProviderDef>,
+    actual_model: &str,
+) -> String {
+    if let Some(ref url) = params.api_base {
+        let resolved =
+            resolve_env_value(url).unwrap_or_else(|e| panic!("model_list api_base: {e}"));
+        if *kind == BackendKind::AzureOpenAI {
+            let api_version = params.api_version.as_deref().unwrap_or("2024-10-21");
+            if !resolved.contains("/openai/deployments/") {
+                let deployment = azure_deployment_from_model(actual_model);
+                return format!(
+                    "{}/openai/deployments/{deployment}/chat/completions?api-version={api_version}",
+                    resolved.trim_end_matches('/'),
+                );
+            }
+            // api_base is already a deployment URL. Ensure the required api-version
+            // query is present so a partial deployment URL still authenticates.
+            if !resolved.contains("api-version=") {
+                let sep = if resolved.contains('?') { '&' } else { '?' };
+                return format!("{resolved}{sep}api-version={api_version}");
+            }
+            return resolved;
+        }
+        return resolved;
+    }
+    match kind {
+        BackendKind::OpenAI => {
+            // Use the stub provider's default URL when available (e.g. groq, xai, mistral).
+            // If a known provider has no safe global default, require explicit api_base.
+            let url = if let Some(provider) = stub_provider {
+                if provider.default_base_url.is_empty() {
+                    panic!(
+                        "model_list provider '{}' requires api_base because it has no safe global API base URL",
+                        provider.id
+                    );
+                }
+                provider.default_base_url
+            } else {
+                "https://api.openai.com"
+            };
+            strip_v1_suffix(url).to_string()
+        }
+        BackendKind::Gemini => {
+            "https://generativelanguage.googleapis.com/v1beta/openai".to_string()
+        }
+        BackendKind::Anthropic => std::env::var("ANTHROPIC_BASE_URL")
+            .unwrap_or_else(|_| "https://api.anthropic.com".to_string()),
+        BackendKind::Bedrock => {
+            // For Bedrock, base_url stores the region.
+            params
+                .aws_region_name
+                .as_deref()
+                .map(|v| v.to_string())
+                .or_else(|| std::env::var("AWS_REGION").ok())
+                .unwrap_or_else(|| "us-east-1".to_string())
+        }
+        // Azure and Vertex require api_base in the config.
+        BackendKind::AzureOpenAI => {
+            panic!("api_base is required for azure deployments in model_list")
+        }
+        BackendKind::Vertex => {
+            let project = params.vertex_project.as_deref().unwrap_or_else(|| {
+                panic!("vertex_project is required for vertex deployments in model_list")
+            });
+            let location = params.vertex_location.as_deref().unwrap_or_else(|| {
+                panic!("vertex_location is required for vertex deployments in model_list")
+            });
+            validate_gcp_identifier("vertex_project", project);
+            validate_gcp_identifier("vertex_location", location);
+            format!(
+                "https://{location}-aiplatform.googleapis.com/v1/projects/{project}/locations/{location}/endpoints/openapi"
+            )
+        }
+    }
+}
+
+// LiteLLM Azure model names may carry a route-group marker prefix that selects a
+// request-shaping path but is not part of the deployment name. This is the complete
+// set of such markers; they are defined only here (no external producer). Add a
+// marker here if a new Azure route group is introduced.
+fn azure_deployment_from_model(model: &str) -> &str {
+    for marker in ["o_series/", "gpt5_series/"] {
+        if let Some(deployment) = model.strip_prefix(marker) {
+            if !deployment.is_empty() {
+                return deployment;
+            }
+        }
+    }
+    model
+}
+
+/// Build a BackendConfig from LiteLLM model_list params.
+#[allow(clippy::too_many_arguments)]
+fn build_backend_config(
+    name: &str,
+    kind: &BackendKind,
+    provider_id: &str,
+    api_key: &str,
+    base_url: &str,
+    params: &LiteLLMParams,
+    tls: &TlsConfig,
+    log_bodies: bool,
+    config: &LiteLLMConfig,
+) -> BackendConfig {
+    let backend_auth = match kind {
+        BackendKind::AzureOpenAI => BackendAuth::AzureApiKey(api_key.to_string()),
+        BackendKind::Gemini | BackendKind::Vertex => BackendAuth::GoogleApiKey(api_key.to_string()),
+        BackendKind::Anthropic => BackendAuth::anthropic_from_api_key_like(api_key.to_string()),
+        _ => BackendAuth::BearerToken(api_key.to_string()),
+    };
+
+    // For Azure, resolve_base_url already produced the full deployment URL
+    // (deployment name + api-version), so use it as-is here.
+    let effective_url = if *kind == BackendKind::AzureOpenAI {
+        base_url.to_string()
+    } else {
+        // Validate non-Azure URLs.
+        if *kind != BackendKind::Bedrock {
+            if let Err(e) = validate_base_url(base_url) {
+                panic!("backend '{name}' base_url rejected: {e}");
+            }
+        }
+        base_url.to_string()
+    };
+
+    // Bedrock credentials.
+    let bedrock_credentials = if *kind == BackendKind::Bedrock {
+        let region = params
+            .aws_region_name
+            .as_deref()
+            .map(|v| resolve_env_value(v).unwrap_or_else(|e| panic!("backend '{name}': {e}")))
+            .or_else(|| std::env::var("AWS_REGION").ok())
+            .unwrap_or_else(|| "us-east-1".to_string());
+
+        let access_key = params
+            .aws_access_key_id
+            .as_deref()
+            .map(|v| resolve_env_value(v).unwrap_or_else(|e| panic!("backend '{name}': {e}")))
+            .or_else(|| std::env::var("AWS_ACCESS_KEY_ID").ok())
+            .unwrap_or_else(|| panic!("backend '{name}': aws_access_key_id required for bedrock"));
+
+        let secret_key = params
+            .aws_secret_access_key
+            .as_deref()
+            .map(|v| resolve_env_value(v).unwrap_or_else(|e| panic!("backend '{name}': {e}")))
+            .or_else(|| std::env::var("AWS_SECRET_ACCESS_KEY").ok())
+            .unwrap_or_else(|| {
+                panic!("backend '{name}': aws_secret_access_key required for bedrock")
+            });
+
+        // Store region as base_url for Bedrock (matches existing convention).
+        // The effective_url was already set to the region string.
+        let _ = region; // region is used as base_url via resolve_base_url
+
+        Some(aws_credential_types::Credentials::new(
+            access_key,
+            secret_key,
+            None, // session token not commonly in LiteLLM configs
+            None,
+            "litellm-config",
+        ))
+    } else {
+        None
+    };
+
+    // Placeholder model mapping: with model router, these are not used for routing.
+    // They serve as fallback for Anthropic model name translation if needed.
+    let model_mapping = ModelMapping {
+        big_model: String::new(),
+        small_model: String::new(),
+    };
+
+    let _num_retries = config.litellm_settings.as_ref().and_then(|s| s.num_retries);
+    let _request_timeout = config
+        .litellm_settings
+        .as_ref()
+        .and_then(|s| s.request_timeout);
+
+    BackendConfig {
+        kind: kind.clone(),
+        provider_id: Some(provider_id.to_string()),
+        api_key: api_key.to_string(),
+        base_url: effective_url,
+        api_format: OpenAIApiFormat::Chat,
+        model_mapping,
+        tls: tls.clone(),
+        backend_auth,
+        log_bodies,
+        omit_stream_options: false,
+        stream_timeout_secs: std::env::var("REQUEST_TIMEOUT_SECS")
+            .ok()
+            .and_then(|v| v.parse().ok())
+            .unwrap_or(900u64),
+        bedrock_credentials,
+        // Config-file backends are validated against SSRF at load time; no auto-relax.
+        allow_local_ssrf: false,
+    }
+}
diff --git a/crates/proxy/src/config/litellm/tests.rs b/crates/proxy/src/config/litellm/tests.rs
index 8795d26..319e8a6 100644
--- a/crates/proxy/src/config/litellm/tests.rs
+++ b/crates/proxy/src/config/litellm/tests.rs
@@ -1,4 +1,7 @@
+use super::parser::parse_provider_model;
 use super::*;
+use crate::config::model_router::RoutingStrategy;
+use crate::config::BackendKind;
 
 #[test]
 fn parse_provider_model_openai() {
diff --git a/crates/proxy/src/config/litellm/types.rs b/crates/proxy/src/config/litellm/types.rs
new file mode 100644
index 0000000..aacb3b6
--- /dev/null
+++ b/crates/proxy/src/config/litellm/types.rs
@@ -0,0 +1,88 @@
+//! Serde structs mapping the LiteLLM `config.yaml` schema, plus the parsed-result
+//! type returned by the conversion functions in [`super::parser`].
+
+use serde::Deserialize;
+
+use crate::config::model_router::ModelRouter;
+use crate::config::MultiConfig;
+
+/// Root structure of a LiteLLM `config.yaml` file.
+#[derive(Deserialize)]
+pub(super) struct LiteLLMConfig {
+    #[serde(default)]
+    pub(super) model_list: Vec<LiteLLMModelEntry>,
+    #[serde(default)]
+    pub(super) litellm_settings: Option<LiteLLMSettings>,
+    #[serde(default)]
+    pub(super) router_settings: Option<RouterSettings>,
+    #[serde(default)]
+    pub(super) general_settings: Option<GeneralSettings>,
+}
+
+#[derive(Deserialize)]
+pub(super) struct LiteLLMModelEntry {
+    pub(super) model_name: String,
+    pub(super) litellm_params: LiteLLMParams,
+}
+
+#[derive(Deserialize)]
+pub(super) struct LiteLLMParams {
+    pub(super) model: String,
+    pub(super) api_base: Option<String>,
+    pub(super) api_key: Option<String>,
+    pub(super) rpm: Option<u32>,
+    pub(super) tpm: Option<u64>,
+    pub(super) weight: Option<u32>,
+    // Azure-specific
+    pub(super) api_version: Option<String>,
+    // Vertex-specific
+    pub(super) vertex_project: Option<String>,
+    pub(super) vertex_location: Option<String>,
+    // Bedrock-specific
+    pub(super) aws_access_key_id: Option<String>,
+    pub(super) aws_secret_access_key: Option<String>,
+    pub(super) aws_region_name: Option<String>,
+    // Catch unknown fields silently (LiteLLM has many we don't support).
+    #[serde(flatten)]
+    pub(super) _extra: serde_json::Map<String, serde_json::Value>,
+}
+
+#[derive(Deserialize)]
+pub(super) struct LiteLLMSettings {
+    #[serde(default)]
+    pub(super) num_retries: Option<u32>,
+    #[serde(default)]
+    pub(super) request_timeout: Option<u64>,
+    #[serde(default)]
+    pub(super) callbacks: Vec<String>,
+    #[serde(flatten)]
+    pub(super) _extra: serde_json::Map<String, serde_json::Value>,
+}
+
+#[derive(Deserialize)]
+pub(super) struct RouterSettings {
+    #[serde(default)]
+    pub(super) routing_strategy: Option<String>,
+    #[serde(flatten)]
+    pub(super) _extra: serde_json::Map<String, serde_json::Value>,
+}
+
+#[derive(Deserialize)]
+pub(super) struct GeneralSettings {
+    pub(super) master_key: Option<String>,
+    #[serde(flatten)]
+    pub(super) _extra: serde_json::Map<String, serde_json::Value>,
+}
+
+/// Parsed result from a LiteLLM config file.
+pub struct LiteLLMParsed {
+    pub multi_config: MultiConfig,
+    pub router: ModelRouter,
+    /// Webhook callback URLs from litellm_settings.callbacks (non-named entries).
+    pub callback_urls: Vec<String>,
+    /// True when "langfuse" appears in litellm_settings.callbacks.
+    pub langfuse_requested: bool,
+    /// Resolved `general_settings.master_key`, if present.
+    /// Caller should apply as PROXY_API_KEYS if that var is not already set.
+    pub master_key: Option<String>,
+}
diff --git a/crates/proxy/src/openai_tool_policy.rs b/crates/proxy/src/openai_tool_policy.rs
index 41b16c6..d4fca60 100644
--- a/crates/proxy/src/openai_tool_policy.rs
+++ b/crates/proxy/src/openai_tool_policy.rs
@@ -346,432 +346,4 @@ fn anthropic_request_requires_tool_choice(req: &anthropic::MessageCreateRequest)
 }
 
 #[cfg(test)]
-mod tests {
-    use serde_json::json;
-
-    use super::*;
-
-    fn catalog(json: serde_json::Value) -> ProviderCatalog {
-        ProviderCatalog::from_litellm_json(&json.to_string()).unwrap()
-    }
-
-    fn empty_catalog() -> ProviderCatalog {
-        ProviderCatalog::from_litellm_json("{}").unwrap()
-    }
-
-    fn request(value: serde_json::Value) -> openai::ChatCompletionRequest {
-        serde_json::from_value(value).unwrap()
-    }
-
-    fn ctx<'a>(
-        backend_kind: BackendKind,
-        provider_id: Option<&'a str>,
-        model: &'a str,
-        provider_catalog: &'a ProviderCatalog,
-    ) -> OpenAiToolPolicyContext<'a> {
-        OpenAiToolPolicyContext {
-            backend_kind,
-            provider_id,
-            model,
-            provider_catalog,
-        }
-    }
-
-    #[test]
-    fn openai_tool_policy_mistral_rewrites_ids_and_matching_tool_results() {
-        let mut req = request(json!({
-            "model": "mistral-large-latest",
-            "messages": [
-                {
-                    "role": "assistant",
-                    "tool_calls": [
-                        {"id": "call_alpha", "type": "function", "function": {"name": "a", "arguments": "{}"}},
-                        {"id": "call_alpha", "type": "function", "function": {"name": "b", "arguments": "{}"}}
-                    ]
-                },
-                {"role": "tool", "tool_call_id": "call_alpha", "content": "first"},
-                {"role": "tool", "tool_call_id": "call_alpha", "content": "second"}
-            ]
-        }));
-        let catalog = empty_catalog();
-        let mut warnings = TranslationWarnings::default();
-
-        let report = prepare_openai_tool_request(
-            &mut req,
-            ctx(
-                BackendKind::OpenAI,
-                Some("mistral"),
-                "mistral-large-latest",
-                &catalog,
-            ),
-            &mut warnings,
-        )
-        .unwrap();
-
-        let calls = req.messages[0].tool_calls.as_ref().unwrap();
-        assert_eq!(calls[0].id, "000000000");
-        assert_eq!(calls[1].id, "000000001");
-        assert_eq!(req.messages[1].tool_call_id.as_deref(), Some("000000000"));
-        assert_eq!(req.messages[2].tool_call_id.as_deref(), Some("000000001"));
-        assert_eq!(report.duplicate_tool_call_ids, 1);
-        assert_eq!(report.remapped_tool_results, 2);
-    }
-
-    #[test]
-    fn openai_tool_policy_gemini_sanitizes_schema_and_removes_strict() {
-        let mut req = request(json!({
-            "model": "gemini-2.5-pro",
-            "messages": [{"role": "user", "content": "hi"}],
-            "tools": [{
-                "type": "function",
-                "function": {
-                    "name": "search",
-                    "strict": true,
-                    "parameters": {
-                        "$schema": "https://json-schema.org/draft/2020-12/schema",
-                        "type": "object",
-                        "additionalProperties": false,
-                        "properties": {
-                            "q": {"type": "string", "default": ""}
-                        }
-                    }
-                }
-            }]
-        }));
-        let catalog = empty_catalog();
-        let mut warnings = TranslationWarnings::default();
-
-        prepare_openai_tool_request(
-            &mut req,
-            ctx(
-                BackendKind::Gemini,
-                Some("gemini"),
-                "gemini-2.5-pro",
-                &catalog,
-            ),
-            &mut warnings,
-        )
-        .unwrap();
-
-        let tool = req.tools.as_ref().unwrap().first().unwrap();
-        assert_eq!(tool.function.strict, None);
-        let params = tool.function.parameters.as_ref().unwrap();
-        assert!(params.get("$schema").is_none());
-        assert!(params.get("additionalProperties").is_none());
-        assert!(
-            params.pointer("/properties/q/default").is_none(),
-            "Gemini rejects JSON Schema default in nested properties"
-        );
-        assert_eq!(
-            warnings.as_header_value().as_deref(),
-            Some("tools.function.strict")
-        );
-    }
-
-    #[test]
-    fn openai_tool_policy_applies_gemini_policy_by_protocol_for_managed_backend() {
-        // A managed/custom backend can run BackendKind::OpenAI while its provider_id
-        // resolves to the Gemini OpenAI shim in the catalog. The policy must key off
-        // the provider protocol, not a hardcoded "gemini" id, so strict-stripping
-        // still applies.
-        let catalog = ProviderCatalog::bundled();
-        let mut req = request(json!({
-            "model": "gemini-2.5-pro",
-            "messages": [{"role": "user", "content": "hi"}],
-            "tools": [{
-                "type": "function",
-                "function": {
-                    "name": "search",
-                    "strict": true,
-                    "parameters": {"type": "object", "additionalProperties": false}
-                }
-            }]
-        }));
-        let mut warnings = TranslationWarnings::default();
-
-        prepare_openai_tool_request(
-            &mut req,
-            ctx(
-                BackendKind::OpenAI,
-                Some("gemini"),
-                "gemini-2.5-pro",
-                &catalog,
-            ),
-            &mut warnings,
-        )
-        .unwrap();
-
-        let tool = req.tools.as_ref().unwrap().first().unwrap();
-        assert_eq!(tool.function.strict, None);
-        assert!(tool
-            .function
-            .parameters
-            .as_ref()
-            .unwrap()
-            .get("additionalProperties")
-            .is_none());
-    }
-
-    #[test]
-    fn openai_tool_policy_gemini_strips_parallel_false_with_multiple_tools() {
-        let mut req = request(json!({
-            "model": "gemini-2.5-pro",
-            "messages": [{"role": "user", "content": "hi"}],
-            "parallel_tool_calls": false,
-            "tools": [
-                {"type": "function", "function": {"name": "a", "parameters": {"type": "object"}}},
-                {"type": "function", "function": {"name": "b", "parameters": {"type": "object"}}}
-            ]
-        }));
-        let catalog = empty_catalog();
-        let mut warnings = TranslationWarnings::default();
-
-        prepare_openai_tool_request(
-            &mut req,
-            ctx(
-                BackendKind::Gemini,
-                Some("gemini"),
-                "gemini-2.5-pro",
-                &catalog,
-            ),
-            &mut warnings,
-        )
-        .unwrap();
-
-        // Gemini cannot honor parallel_tool_calls; the field is stripped and the
-        // degradation is reported rather than the request being rejected.
-        assert!(req.parallel_tool_calls.is_none());
-        assert_eq!(
-            warnings.as_header_value().as_deref(),
-            Some("parallel_tool_calls")
-        );
-    }
-
-    #[test]
-    fn openai_tool_policy_rejects_required_tool_choice_when_model_lacks_it() {
-        let catalog = catalog(json!({
-            "demo-model": {
-                "litellm_provider": "demo",
-                "mode": "chat",
-                "supports_function_calling": true,
-                "supports_tool_choice": false
-            }
-        }));
-        let mut req = request(json!({
-            "model": "demo-model",
-            "messages": [{"role": "user", "content": "hi"}],
-            "tools": [{"type": "function", "function": {"name": "a", "parameters": {"type": "object"}}}],
-            "tool_choice": "required"
-        }));
-        let mut warnings = TranslationWarnings::default();
-
-        let err = prepare_openai_tool_request(
-            &mut req,
-            ctx(BackendKind::OpenAI, Some("demo"), "demo-model", &catalog),
-            &mut warnings,
-        )
-        .unwrap_err();
-
-        assert!(err.message().contains("tool_choice=required"));
-    }
-
-    #[test]
-    fn openai_tool_policy_drops_auto_tool_choice_when_model_lacks_it() {
-        let catalog = catalog(json!({
-            "demo-model": {
-                "litellm_provider": "demo",
-                "mode": "chat",
-                "supports_function_calling": true,
-                "supports_tool_choice": false
-            }
-        }));
-        let mut req = request(json!({
-            "model": "demo-model",
-            "messages": [{"role": "user", "content": "hi"}],
-            "tools": [{"type": "function", "function": {"name": "a", "parameters": {"type": "object"}}}],
-            "tool_choice": "auto"
-        }));
-        let mut warnings = TranslationWarnings::default();
-
-        prepare_openai_tool_request(
-            &mut req,
-            ctx(BackendKind::OpenAI, Some("demo"), "demo-model", &catalog),
-            &mut warnings,
-        )
-        .unwrap();
-
-        assert!(req.tool_choice.is_none());
-        assert!(req.tools.is_some());
-        assert_eq!(warnings.as_header_value().as_deref(), Some("tool_choice"));
-    }
-
-    #[test]
-    fn openai_tool_policy_drops_none_tool_choice_and_tools_without_continuation() {
-        let catalog = catalog(json!({
-            "demo-model": {
-                "litellm_provider": "demo",
-                "mode": "chat",
-                "supports_function_calling": true,
-                "supports_tool_choice": false
-            }
-        }));
-        let mut req = request(json!({
-            "model": "demo-model",
-            "messages": [{"role": "user", "content": "hi"}],
-            "tools": [{"type": "function", "function": {"name": "a", "parameters": {"type": "object"}}}],
-            "tool_choice": "none"
-        }));
-        let mut warnings = TranslationWarnings::default();
-
-        prepare_openai_tool_request(
-            &mut req,
-            ctx(BackendKind::OpenAI, Some("demo"), "demo-model", &catalog),
-            &mut warnings,
-        )
-        .unwrap();
-
-        assert!(req.tool_choice.is_none());
-        assert!(req.tools.is_none());
-        assert_eq!(
-            warnings.as_header_value().as_deref(),
-            Some("tool_choice, tools")
-        );
-    }
-
-    #[test]
-    fn openai_tool_policy_rejects_tools_when_known_model_lacks_tool_use() {
-        let catalog = catalog(json!({
-            "demo-model": {
-                "litellm_provider": "demo",
-                "mode": "chat",
-                "supports_function_calling": false,
-                "supports_tool_choice": false
-            }
-        }));
-        let mut req = request(json!({
-            "model": "demo-model",
-            "messages": [{"role": "user", "content": "hi"}],
-            "tools": [{"type": "function", "function": {"name": "a", "parameters": {"type": "object"}}}]
-        }));
-        let mut warnings = TranslationWarnings::default();
-
-        let err = prepare_openai_tool_request(
-            &mut req,
-            ctx(BackendKind::OpenAI, Some("demo"), "demo-model", &catalog),
-            &mut warnings,
-        )
-        .unwrap_err();
-
-        assert!(err.message().contains("does not support tools"));
-    }
-
-    #[test]
-    fn openai_tool_policy_allows_forced_tool_choice_for_self_hosted_provider() {
-        // vllm/lm_studio/llamafile/triton stubs advertise tool_use but a
-        // conservative provider-level tool_choice:false and carry no per-model
-        // metadata. Forced tool_choice must pass through (the backend decides),
-        // not 400 -- the provider-level flag is not authoritative for an unknown
-        // self-hosted model.
-        let catalog = ProviderCatalog::bundled();
-        assert!(
-            catalog.list_models("vllm").is_empty(),
-            "test assumes vllm has no per-model metadata"
-        );
-        let mut req = request(json!({
-            "model": "Qwen/Qwen2.5-7B-Instruct",
-            "messages": [{"role": "user", "content": "hi"}],
-            "tools": [{"type": "function", "function": {"name": "a", "parameters": {"type": "object"}}}],
-            "tool_choice": "required"
-        }));
-        let mut warnings = TranslationWarnings::default();
-
-        prepare_openai_tool_request(
-            &mut req,
-            ctx(
-                BackendKind::OpenAI,
-                Some("vllm"),
-                "Qwen/Qwen2.5-7B-Instruct",
-                &catalog,
-            ),
-            &mut warnings,
-        )
-        .unwrap();
-
-        assert!(matches!(
-            req.tool_choice,
-            Some(ChatToolChoice::Simple(ref v)) if v == "required"
-        ));
-    }
-
-    #[test]
-    fn openai_tool_policy_rejects_native_anthropic_tools_when_known_model_lacks_tool_use() {
-        let catalog = catalog(json!({
-            "demo-model": {
-                "litellm_provider": "bedrock",
-                "mode": "chat",
-                "supports_function_calling": false,
-                "supports_tool_choice": false
-            }
-        }));
-        let req: anthropic::MessageCreateRequest = serde_json::from_value(json!({
-            "model": "demo-model",
-            "max_tokens": 64,
-            "tools": [{
-                "name": "lookup",
-                "input_schema": {"type": "object"}
-            }],
-            "messages": [
-                {"role": "user", "content": "hi"}
-            ]
-        }))
-        .unwrap();
-
-        let err = validate_anthropic_tool_request(
-            &req,
-            ctx(
-                BackendKind::Bedrock,
-                Some("bedrock"),
-                "demo-model",
-                &catalog,
-            ),
-        )
-        .unwrap_err();
-
-        assert!(err.message().contains("does not support tools"));
-    }
-
-    #[test]
-    fn openai_tool_policy_normalizes_streaming_top_level_tool_call_delta() {
-        let chunk = parse_openai_chat_completion_chunk(
-            r#"{
-                "id": "chatcmpl_1",
-                "object": "chat.completion.chunk",
-                "created": 1,
-                "model": "local",
-                "choices": [{
-                    "index": 0,
-                    "delta": {
-                        "tool_calls": [{
-                            "index": 0,
-                            "id": "call_1",
-                            "name": "lookup",
-                            "arguments": {"q":"x"}
-                        }]
-                    }
-                }]
-            }"#,
-        )
-        .unwrap();
-
-        let tool_call = &chunk.choices[0].delta.tool_calls.as_ref().unwrap()[0];
-        assert_eq!(tool_call.call_type.as_deref(), Some("function"));
-        assert_eq!(
-            tool_call.function.as_ref().unwrap().name.as_deref(),
-            Some("lookup")
-        );
-        assert_eq!(
-            tool_call.function.as_ref().unwrap().arguments.as_deref(),
-            Some(r#"{"q":"x"}"#)
-        );
-    }
-}
+mod tests;
diff --git a/crates/proxy/src/openai_tool_policy/tests.rs b/crates/proxy/src/openai_tool_policy/tests.rs
new file mode 100644
index 0000000..0d9b5b2
--- /dev/null
+++ b/crates/proxy/src/openai_tool_policy/tests.rs
@@ -0,0 +1,427 @@
+use serde_json::json;
+
+use super::*;
+
+fn catalog(json: serde_json::Value) -> ProviderCatalog {
+    ProviderCatalog::from_litellm_json(&json.to_string()).unwrap()
+}
+
+fn empty_catalog() -> ProviderCatalog {
+    ProviderCatalog::from_litellm_json("{}").unwrap()
+}
+
+fn request(value: serde_json::Value) -> openai::ChatCompletionRequest {
+    serde_json::from_value(value).unwrap()
+}
+
+fn ctx<'a>(
+    backend_kind: BackendKind,
+    provider_id: Option<&'a str>,
+    model: &'a str,
+    provider_catalog: &'a ProviderCatalog,
+) -> OpenAiToolPolicyContext<'a> {
+    OpenAiToolPolicyContext {
+        backend_kind,
+        provider_id,
+        model,
+        provider_catalog,
+    }
+}
+
+#[test]
+fn openai_tool_policy_mistral_rewrites_ids_and_matching_tool_results() {
+    let mut req = request(json!({
+        "model": "mistral-large-latest",
+        "messages": [
+            {
+                "role": "assistant",
+                "tool_calls": [
+                    {"id": "call_alpha", "type": "function", "function": {"name": "a", "arguments": "{}"}},
+                    {"id": "call_alpha", "type": "function", "function": {"name": "b", "arguments": "{}"}}
+                ]
+            },
+            {"role": "tool", "tool_call_id": "call_alpha", "content": "first"},
+            {"role": "tool", "tool_call_id": "call_alpha", "content": "second"}
+        ]
+    }));
+    let catalog = empty_catalog();
+    let mut warnings = TranslationWarnings::default();
+
+    let report = prepare_openai_tool_request(
+        &mut req,
+        ctx(
+            BackendKind::OpenAI,
+            Some("mistral"),
+            "mistral-large-latest",
+            &catalog,
+        ),
+        &mut warnings,
+    )
+    .unwrap();
+
+    let calls = req.messages[0].tool_calls.as_ref().unwrap();
+    assert_eq!(calls[0].id, "000000000");
+    assert_eq!(calls[1].id, "000000001");
+    assert_eq!(req.messages[1].tool_call_id.as_deref(), Some("000000000"));
+    assert_eq!(req.messages[2].tool_call_id.as_deref(), Some("000000001"));
+    assert_eq!(report.duplicate_tool_call_ids, 1);
+    assert_eq!(report.remapped_tool_results, 2);
+}
+
+#[test]
+fn openai_tool_policy_gemini_sanitizes_schema_and_removes_strict() {
+    let mut req = request(json!({
+        "model": "gemini-2.5-pro",
+        "messages": [{"role": "user", "content": "hi"}],
+        "tools": [{
+            "type": "function",
+            "function": {
+                "name": "search",
+                "strict": true,
+                "parameters": {
+                    "$schema": "https://json-schema.org/draft/2020-12/schema",
+                    "type": "object",
+                    "additionalProperties": false,
+                    "properties": {
+                        "q": {"type": "string", "default": ""}
+                    }
+                }
+            }
+        }]
+    }));
+    let catalog = empty_catalog();
+    let mut warnings = TranslationWarnings::default();
+
+    prepare_openai_tool_request(
+        &mut req,
+        ctx(
+            BackendKind::Gemini,
+            Some("gemini"),
+            "gemini-2.5-pro",
+            &catalog,
+        ),
+        &mut warnings,
+    )
+    .unwrap();
+
+    let tool = req.tools.as_ref().unwrap().first().unwrap();
+    assert_eq!(tool.function.strict, None);
+    let params = tool.function.parameters.as_ref().unwrap();
+    assert!(params.get("$schema").is_none());
+    assert!(params.get("additionalProperties").is_none());
+    assert!(
+        params.pointer("/properties/q/default").is_none(),
+        "Gemini rejects JSON Schema default in nested properties"
+    );
+    assert_eq!(
+        warnings.as_header_value().as_deref(),
+        Some("tools.function.strict")
+    );
+}
+
+#[test]
+fn openai_tool_policy_applies_gemini_policy_by_protocol_for_managed_backend() {
+    // A managed/custom backend can run BackendKind::OpenAI while its provider_id
+    // resolves to the Gemini OpenAI shim in the catalog. The policy must key off
+    // the provider protocol, not a hardcoded "gemini" id, so strict-stripping
+    // still applies.
+    let catalog = ProviderCatalog::bundled();
+    let mut req = request(json!({
+        "model": "gemini-2.5-pro",
+        "messages": [{"role": "user", "content": "hi"}],
+        "tools": [{
+            "type": "function",
+            "function": {
+                "name": "search",
+                "strict": true,
+                "parameters": {"type": "object", "additionalProperties": false}
+            }
+        }]
+    }));
+    let mut warnings = TranslationWarnings::default();
+
+    prepare_openai_tool_request(
+        &mut req,
+        ctx(
+            BackendKind::OpenAI,
+            Some("gemini"),
+            "gemini-2.5-pro",
+            &catalog,
+        ),
+        &mut warnings,
+    )
+    .unwrap();
+
+    let tool = req.tools.as_ref().unwrap().first().unwrap();
+    assert_eq!(tool.function.strict, None);
+    assert!(tool
+        .function
+        .parameters
+        .as_ref()
+        .unwrap()
+        .get("additionalProperties")
+        .is_none());
+}
+
+#[test]
+fn openai_tool_policy_gemini_strips_parallel_false_with_multiple_tools() {
+    let mut req = request(json!({
+        "model": "gemini-2.5-pro",
+        "messages": [{"role": "user", "content": "hi"}],
+        "parallel_tool_calls": false,
+        "tools": [
+            {"type": "function", "function": {"name": "a", "parameters": {"type": "object"}}},
+            {"type": "function", "function": {"name": "b", "parameters": {"type": "object"}}}
+        ]
+    }));
+    let catalog = empty_catalog();
+    let mut warnings = TranslationWarnings::default();
+
+    prepare_openai_tool_request(
+        &mut req,
+        ctx(
+            BackendKind::Gemini,
+            Some("gemini"),
+            "gemini-2.5-pro",
+            &catalog,
+        ),
+        &mut warnings,
+    )
+    .unwrap();
+
+    // Gemini cannot honor parallel_tool_calls; the field is stripped and the
+    // degradation is reported rather than the request being rejected.
+    assert!(req.parallel_tool_calls.is_none());
+    assert_eq!(
+        warnings.as_header_value().as_deref(),
+        Some("parallel_tool_calls")
+    );
+}
+
+#[test]
+fn openai_tool_policy_rejects_required_tool_choice_when_model_lacks_it() {
+    let catalog = catalog(json!({
+        "demo-model": {
+            "litellm_provider": "demo",
+            "mode": "chat",
+            "supports_function_calling": true,
+            "supports_tool_choice": false
+        }
+    }));
+    let mut req = request(json!({
+        "model": "demo-model",
+        "messages": [{"role": "user", "content": "hi"}],
+        "tools": [{"type": "function", "function": {"name": "a", "parameters": {"type": "object"}}}],
+        "tool_choice": "required"
+    }));
+    let mut warnings = TranslationWarnings::default();
+
+    let err = prepare_openai_tool_request(
+        &mut req,
+        ctx(BackendKind::OpenAI, Some("demo"), "demo-model", &catalog),
+        &mut warnings,
+    )
+    .unwrap_err();
+
+    assert!(err.message().contains("tool_choice=required"));
+}
+
+#[test]
+fn openai_tool_policy_drops_auto_tool_choice_when_model_lacks_it() {
+    let catalog = catalog(json!({
+        "demo-model": {
+            "litellm_provider": "demo",
+            "mode": "chat",
+            "supports_function_calling": true,
+            "supports_tool_choice": false
+        }
+    }));
+    let mut req = request(json!({
+        "model": "demo-model",
+        "messages": [{"role": "user", "content": "hi"}],
+        "tools": [{"type": "function", "function": {"name": "a", "parameters": {"type": "object"}}}],
+        "tool_choice": "auto"
+    }));
+    let mut warnings = TranslationWarnings::default();
+
+    prepare_openai_tool_request(
+        &mut req,
+        ctx(BackendKind::OpenAI, Some("demo"), "demo-model", &catalog),
+        &mut warnings,
+    )
+    .unwrap();
+
+    assert!(req.tool_choice.is_none());
+    assert!(req.tools.is_some());
+    assert_eq!(warnings.as_header_value().as_deref(), Some("tool_choice"));
+}
+
+#[test]
+fn openai_tool_policy_drops_none_tool_choice_and_tools_without_continuation() {
+    let catalog = catalog(json!({
+        "demo-model": {
+            "litellm_provider": "demo",
+            "mode": "chat",
+            "supports_function_calling": true,
+            "supports_tool_choice": false
+        }
+    }));
+    let mut req = request(json!({
+        "model": "demo-model",
+        "messages": [{"role": "user", "content": "hi"}],
+        "tools": [{"type": "function", "function": {"name": "a", "parameters": {"type": "object"}}}],
+        "tool_choice": "none"
+    }));
+    let mut warnings = TranslationWarnings::default();
+
+    prepare_openai_tool_request(
+        &mut req,
+        ctx(BackendKind::OpenAI, Some("demo"), "demo-model", &catalog),
+        &mut warnings,
+    )
+    .unwrap();
+
+    assert!(req.tool_choice.is_none());
+    assert!(req.tools.is_none());
+    assert_eq!(
+        warnings.as_header_value().as_deref(),
+        Some("tool_choice, tools")
+    );
+}
+
+#[test]
+fn openai_tool_policy_rejects_tools_when_known_model_lacks_tool_use() {
+    let catalog = catalog(json!({
+        "demo-model": {
+            "litellm_provider": "demo",
+            "mode": "chat",
+            "supports_function_calling": false,
+            "supports_tool_choice": false
+        }
+    }));
+    let mut req = request(json!({
+        "model": "demo-model",
+        "messages": [{"role": "user", "content": "hi"}],
+        "tools": [{"type": "function", "function": {"name": "a", "parameters": {"type": "object"}}}]
+    }));
+    let mut warnings = TranslationWarnings::default();
+
+    let err = prepare_openai_tool_request(
+        &mut req,
+        ctx(BackendKind::OpenAI, Some("demo"), "demo-model", &catalog),
+        &mut warnings,
+    )
+    .unwrap_err();
+
+    assert!(err.message().contains("does not support tools"));
+}
+
+#[test]
+fn openai_tool_policy_allows_forced_tool_choice_for_self_hosted_provider() {
+    // vllm/lm_studio/llamafile/triton stubs advertise tool_use but a
+    // conservative provider-level tool_choice:false and carry no per-model
+    // metadata. Forced tool_choice must pass through (the backend decides),
+    // not 400 -- the provider-level flag is not authoritative for an unknown
+    // self-hosted model.
+    let catalog = ProviderCatalog::bundled();
+    assert!(
+        catalog.list_models("vllm").is_empty(),
+        "test assumes vllm has no per-model metadata"
+    );
+    let mut req = request(json!({
+        "model": "Qwen/Qwen2.5-7B-Instruct",
+        "messages": [{"role": "user", "content": "hi"}],
+        "tools": [{"type": "function", "function": {"name": "a", "parameters": {"type": "object"}}}],
+        "tool_choice": "required"
+    }));
+    let mut warnings = TranslationWarnings::default();
+
+    prepare_openai_tool_request(
+        &mut req,
+        ctx(
+            BackendKind::OpenAI,
+            Some("vllm"),
+            "Qwen/Qwen2.5-7B-Instruct",
+            &catalog,
+        ),
+        &mut warnings,
+    )
+    .unwrap();
+
+    assert!(matches!(
+        req.tool_choice,
+        Some(ChatToolChoice::Simple(ref v)) if v == "required"
+    ));
+}
+
+#[test]
+fn openai_tool_policy_rejects_native_anthropic_tools_when_known_model_lacks_tool_use() {
+    let catalog = catalog(json!({
+        "demo-model": {
+            "litellm_provider": "bedrock",
+            "mode": "chat",
+            "supports_function_calling": false,
+            "supports_tool_choice": false
+        }
+    }));
+    let req: anthropic::MessageCreateRequest = serde_json::from_value(json!({
+        "model": "demo-model",
+        "max_tokens": 64,
+        "tools": [{
+            "name": "lookup",
+            "input_schema": {"type": "object"}
+        }],
+        "messages": [
+            {"role": "user", "content": "hi"}
+        ]
+    }))
+    .unwrap();
+
+    let err = validate_anthropic_tool_request(
+        &req,
+        ctx(
+            BackendKind::Bedrock,
+            Some("bedrock"),
+            "demo-model",
+            &catalog,
+        ),
+    )
+    .unwrap_err();
+
+    assert!(err.message().contains("does not support tools"));
+}
+
+#[test]
+fn openai_tool_policy_normalizes_streaming_top_level_tool_call_delta() {
+    let chunk = parse_openai_chat_completion_chunk(
+        r#"{
+            "id": "chatcmpl_1",
+            "object": "chat.completion.chunk",
+            "created": 1,
+            "model": "local",
+            "choices": [{
+                "index": 0,
+                "delta": {
+                    "tool_calls": [{
+                        "index": 0,
+                        "id": "call_1",
+                        "name": "lookup",
+                        "arguments": {"q":"x"}
+                    }]
+                }
+            }]
+        }"#,
+    )
+    .unwrap();
+
+    let tool_call = &chunk.choices[0].delta.tool_calls.as_ref().unwrap()[0];
+    assert_eq!(tool_call.call_type.as_deref(), Some("function"));
+    assert_eq!(
+        tool_call.function.as_ref().unwrap().name.as_deref(),
+        Some("lookup")
+    );
+    assert_eq!(
+        tool_call.function.as_ref().unwrap().arguments.as_deref(),
+        Some(r#"{"q":"x"}"#)
+    );
+}
diff --git a/crates/proxy/src/optimizer.rs b/crates/proxy/src/optimizer.rs
index 34369e5..dc14ce9 100644
--- a/crates/proxy/src/optimizer.rs
+++ b/crates/proxy/src/optimizer.rs
@@ -435,249 +435,5 @@ pub fn resolve_runtime_optimizer_locked(
 }
 
 #[cfg(test)]
-mod tests {
-    use super::*;
-    use serde_json::json;
-
-    fn long_text() -> String {
-        "The quick brown fox jumps over the lazy dog again and again across the wide \
-         green field toward the distant blue mountains far beyond the winding river."
-            .repeat(2)
-    }
-
-    fn long_openai_body() -> Value {
-        let long = long_text();
-        let mut messages = vec![json!({"role":"system","content":"you are helpful"})];
-        for _ in 0..16 {
-            messages.push(json!({"role":"user","content": long}));
-            messages.push(json!({"role":"assistant","content": long}));
-        }
-        messages.push(json!({"role":"user","content":"what is the latest?"}));
-        json!({"model":"gpt-4o","messages": messages})
-    }
-
-    #[test]
-    fn resolve_default_mode_unset_is_off() {
-        // Deliberately does not touch process env: relies on OPTIMIZER_MODE being
-        // absent by default in the test environment.
-        if std::env::var("OPTIMIZER_MODE").is_err() {
-            assert_eq!(resolve_default_mode(), Mode::Off);
-        }
-    }
-
-    #[test]
-    fn off_mode_never_mutates_and_reports_off() {
-        let mut body = long_openai_body();
-        let before = body.clone();
-        let engine = OptimizerEngine::new(Mode::Off);
-        let report = engine.optimize_openai(&mut body, "chat_completions");
-        assert_eq!(body, before, "off mode must not mutate the body");
-        assert_eq!(report.mode, Mode::Off);
-        assert!(!report.applied);
-    }
-
-    #[test]
-    fn shadow_mode_never_mutates_but_reports_savings() {
-        let mut body = long_openai_body();
-        let before = body.clone();
-        let engine = OptimizerEngine::new(Mode::Shadow);
-        let report = engine.optimize_openai(&mut body, "chat_completions");
-        assert_eq!(body, before, "shadow mode must not mutate the body");
-        assert!(
-            report.removed_tokens_est > 0,
-            "shadow should still report would-be savings on a long convo"
-        );
-    }
-
-    #[test]
-    fn live_mode_compresses_openai_history_and_preserves_latest_and_system() {
-        let mut body = long_openai_body();
-        let orig_msgs = body["messages"].as_array().unwrap().clone();
-        let engine = OptimizerEngine::new(Mode::Live);
-        let report = engine.optimize_openai(&mut body, "chat_completions");
-        assert!(report.applied || report.rewrite_suffix_tokens == 0);
-
-        let new_msgs = body["messages"].as_array().unwrap();
-        assert_eq!(orig_msgs.len(), new_msgs.len());
-        assert_eq!(orig_msgs[0], new_msgs[0], "system untouched");
-        assert_eq!(
-            orig_msgs.last().unwrap(),
-            new_msgs.last().unwrap(),
-            "latest message untouched"
-        );
-    }
-
-    #[test]
-    fn live_mode_compresses_anthropic_history_and_preserves_latest() {
-        let long = long_text();
-        let mut messages = vec![];
-        for _ in 0..16 {
-            messages.push(json!({"role":"user","content": long}));
-            messages.push(json!({"role":"assistant","content": long}));
-        }
-        messages.push(json!({"role":"user","content":"what is the latest?"}));
-        let mut body = json!({
-            "model":"claude-sonnet-5",
-            "system":"you are helpful",
-            "messages": messages,
-        });
-        let orig_msgs = body["messages"].as_array().unwrap().clone();
-        let orig_system = body["system"].clone();
-
-        let engine = OptimizerEngine::new(Mode::Live);
-        let report = engine.optimize_anthropic(&mut body, "messages");
-
-        assert_eq!(body["system"], orig_system, "system field untouched");
-        let new_msgs = body["messages"].as_array().unwrap();
-        assert_eq!(orig_msgs.len(), new_msgs.len());
-        assert_eq!(
-            orig_msgs.last().unwrap(),
-            new_msgs.last().unwrap(),
-            "latest message untouched"
-        );
-        // Live mode must place the deepest cache breakpoint at the frontier, not just
-        // compress text (crates/optimizer/CLAUDE.md checklist item 5).
-        assert!(
-            report.frontier > 0,
-            "long history must have a nonzero frontier"
-        );
-        let bp_idx = report.frontier - 1;
-        let bp_msg = &new_msgs[bp_idx];
-        let has_marker = bp_msg["content"]
-            .as_array()
-            .is_some_and(|arr| arr.iter().any(|b| b.get("cache_control").is_some()));
-        assert!(
-            has_marker,
-            "expected a cache_control breakpoint on message {bp_idx}, got {bp_msg}"
-        );
-    }
-
-    fn long_anthropic_body() -> Value {
-        let long = long_text();
-        let mut messages = vec![];
-        for _ in 0..16 {
-            messages.push(json!({"role":"user","content": long}));
-            messages.push(json!({"role":"assistant","content": long}));
-        }
-        messages.push(json!({"role":"user","content":"what is the latest?"}));
-        json!({
-            "model":"claude-sonnet-5",
-            "system":"you are helpful",
-            "messages": messages,
-        })
-    }
-
-    #[test]
-    fn optimize_anthropic_bytes_live_shrinks_and_keeps_cache_control() {
-        let body = Bytes::from(serde_json::to_vec(&long_anthropic_body()).unwrap());
-        let metrics = crate::metrics::Metrics::new();
-        let engine = OptimizerEngine::new(Mode::Live);
-        let out = engine.optimize_anthropic_bytes(body.clone(), "messages", &metrics);
-        assert!(out.len() < body.len(), "live output must be smaller");
-        // The frontier cache_control breakpoint must survive to the wire bytes --
-        // the whole point of doing this on Bytes instead of the typed round-trip.
-        let root: Value = serde_json::from_slice(&out).unwrap();
-        let has_marker = root["messages"].as_array().unwrap().iter().any(|m| {
-            m["content"]
-                .as_array()
-                .is_some_and(|arr| arr.iter().any(|b| b.get("cache_control").is_some()))
-        });
-        assert!(
-            has_marker,
-            "cache_control breakpoint dropped from wire bytes"
-        );
-        assert_eq!(metrics.snapshot().optimizer_compressed_total, 1);
-    }
-
-    #[test]
-    fn optimize_anthropic_bytes_off_is_noop() {
-        let body = Bytes::from(serde_json::to_vec(&long_anthropic_body()).unwrap());
-        let metrics = crate::metrics::Metrics::new();
-        let engine = OptimizerEngine::new(Mode::Off);
-        let out = engine.optimize_anthropic_bytes(body.clone(), "messages", &metrics);
-        assert_eq!(out, body, "off mode must return the body unchanged");
-        assert_eq!(metrics.snapshot().optimizer_compressed_total, 0);
-    }
-
-    #[test]
-    fn optimize_anthropic_bytes_fails_open_on_garbage() {
-        let body = Bytes::from_static(b"not json");
-        let metrics = crate::metrics::Metrics::new();
-        let engine = OptimizerEngine::new(Mode::Live);
-        let out = engine.optimize_anthropic_bytes(body.clone(), "messages", &metrics);
-        assert_eq!(out, body, "garbage body returned unchanged");
-        assert_eq!(metrics.snapshot().optimizer_compressed_total, 0);
-    }
-
-    #[test]
-    fn with_mode_override_prefers_override() {
-        let engine = OptimizerEngine::new(Mode::Off);
-        let overridden = engine.with_mode_override("live");
-        assert_eq!(overridden.policy.mode, Mode::Live);
-        // The original engine is untouched.
-        assert_eq!(engine.policy.mode, Mode::Off);
-    }
-
-    #[test]
-    fn with_mode_override_falls_back_on_unparseable_value() {
-        let engine = OptimizerEngine::new(Mode::Shadow);
-        let overridden = engine.with_mode_override("not-a-real-mode");
-        assert_eq!(overridden.policy.mode, Mode::Shadow);
-    }
-
-    #[test]
-    fn resolve_runtime_optimizer_prefers_runtime_override() {
-        let engine = OptimizerEngine::new(Mode::Off);
-        let resolved = resolve_runtime_optimizer(&engine, "live");
-        assert_eq!(resolved.policy.mode, Mode::Live);
-    }
-
-    #[test]
-    fn resolve_runtime_optimizer_keeps_static_when_modes_match() {
-        let engine = OptimizerEngine::new(Mode::Shadow);
-        let resolved = resolve_runtime_optimizer(&engine, "shadow");
-        assert_eq!(resolved.policy.mode, Mode::Shadow);
-    }
-
-    #[test]
-    fn resolve_runtime_optimizer_falls_back_on_unparseable_value() {
-        let engine = OptimizerEngine::new(Mode::Shadow);
-        let resolved = resolve_runtime_optimizer(&engine, "not-a-real-mode");
-        assert_eq!(resolved.policy.mode, Mode::Shadow);
-    }
-
-    #[test]
-    fn route_precedence_wins_over_runtime_and_static() {
-        // Full three-tier precedence, mirroring `effective_optimizer`'s own logic:
-        // static (env-seeded) engine mode is Off, runtime tier says Shadow, but a
-        // route-level override of Live must win over both.
-        let static_engine = OptimizerEngine::new(Mode::Off);
-        let runtime_tier = resolve_runtime_optimizer(&static_engine, "shadow");
-        assert_eq!(
-            runtime_tier.policy.mode,
-            Mode::Shadow,
-            "runtime beats static"
-        );
-
-        // Route override is applied directly against the static engine (as
-        // `effective_optimizer` does), bypassing the runtime tier entirely.
-        let route_tier = static_engine.with_mode_override("live");
-        assert_eq!(
-            route_tier.policy.mode,
-            Mode::Live,
-            "route beats runtime and static"
-        );
-    }
-
-    #[test]
-    fn fails_open_on_malformed_messages_field() {
-        // "messages" is a string, not an array — adapters degrade to an empty
-        // Conversation rather than panicking, so this must not mutate or panic.
-        let mut body = json!({"model":"gpt-4o","messages":"not an array"});
-        let before = body.clone();
-        let engine = OptimizerEngine::new(Mode::Live);
-        let report = engine.optimize_openai(&mut body, "chat_completions");
-        assert_eq!(body, before);
-        assert!(!report.applied);
-    }
-}
+#[path = "optimizer/tests.rs"]
+mod tests;
diff --git a/crates/proxy/src/optimizer/tests.rs b/crates/proxy/src/optimizer/tests.rs
new file mode 100644
index 0000000..08d1b61
--- /dev/null
+++ b/crates/proxy/src/optimizer/tests.rs
@@ -0,0 +1,244 @@
+use super::*;
+use serde_json::json;
+
+fn long_text() -> String {
+    "The quick brown fox jumps over the lazy dog again and again across the wide \
+     green field toward the distant blue mountains far beyond the winding river."
+        .repeat(2)
+}
+
+fn long_openai_body() -> Value {
+    let long = long_text();
+    let mut messages = vec![json!({"role":"system","content":"you are helpful"})];
+    for _ in 0..16 {
+        messages.push(json!({"role":"user","content": long}));
+        messages.push(json!({"role":"assistant","content": long}));
+    }
+    messages.push(json!({"role":"user","content":"what is the latest?"}));
+    json!({"model":"gpt-4o","messages": messages})
+}
+
+#[test]
+fn resolve_default_mode_unset_is_off() {
+    // Deliberately does not touch process env: relies on OPTIMIZER_MODE being
+    // absent by default in the test environment.
+    if std::env::var("OPTIMIZER_MODE").is_err() {
+        assert_eq!(resolve_default_mode(), Mode::Off);
+    }
+}
+
+#[test]
+fn off_mode_never_mutates_and_reports_off() {
+    let mut body = long_openai_body();
+    let before = body.clone();
+    let engine = OptimizerEngine::new(Mode::Off);
+    let report = engine.optimize_openai(&mut body, "chat_completions");
+    assert_eq!(body, before, "off mode must not mutate the body");
+    assert_eq!(report.mode, Mode::Off);
+    assert!(!report.applied);
+}
+
+#[test]
+fn shadow_mode_never_mutates_but_reports_savings() {
+    let mut body = long_openai_body();
+    let before = body.clone();
+    let engine = OptimizerEngine::new(Mode::Shadow);
+    let report = engine.optimize_openai(&mut body, "chat_completions");
+    assert_eq!(body, before, "shadow mode must not mutate the body");
+    assert!(
+        report.removed_tokens_est > 0,
+        "shadow should still report would-be savings on a long convo"
+    );
+}
+
+#[test]
+fn live_mode_compresses_openai_history_and_preserves_latest_and_system() {
+    let mut body = long_openai_body();
+    let orig_msgs = body["messages"].as_array().unwrap().clone();
+    let engine = OptimizerEngine::new(Mode::Live);
+    let report = engine.optimize_openai(&mut body, "chat_completions");
+    assert!(report.applied || report.rewrite_suffix_tokens == 0);
+
+    let new_msgs = body["messages"].as_array().unwrap();
+    assert_eq!(orig_msgs.len(), new_msgs.len());
+    assert_eq!(orig_msgs[0], new_msgs[0], "system untouched");
+    assert_eq!(
+        orig_msgs.last().unwrap(),
+        new_msgs.last().unwrap(),
+        "latest message untouched"
+    );
+}
+
+#[test]
+fn live_mode_compresses_anthropic_history_and_preserves_latest() {
+    let long = long_text();
+    let mut messages = vec![];
+    for _ in 0..16 {
+        messages.push(json!({"role":"user","content": long}));
+        messages.push(json!({"role":"assistant","content": long}));
+    }
+    messages.push(json!({"role":"user","content":"what is the latest?"}));
+    let mut body = json!({
+        "model":"claude-sonnet-5",
+        "system":"you are helpful",
+        "messages": messages,
+    });
+    let orig_msgs = body["messages"].as_array().unwrap().clone();
+    let orig_system = body["system"].clone();
+
+    let engine = OptimizerEngine::new(Mode::Live);
+    let report = engine.optimize_anthropic(&mut body, "messages");
+
+    assert_eq!(body["system"], orig_system, "system field untouched");
+    let new_msgs = body["messages"].as_array().unwrap();
+    assert_eq!(orig_msgs.len(), new_msgs.len());
+    assert_eq!(
+        orig_msgs.last().unwrap(),
+        new_msgs.last().unwrap(),
+        "latest message untouched"
+    );
+    // Live mode must place the deepest cache breakpoint at the frontier, not just
+    // compress text (crates/optimizer/CLAUDE.md checklist item 5).
+    assert!(
+        report.frontier > 0,
+        "long history must have a nonzero frontier"
+    );
+    let bp_idx = report.frontier - 1;
+    let bp_msg = &new_msgs[bp_idx];
+    let has_marker = bp_msg["content"]
+        .as_array()
+        .is_some_and(|arr| arr.iter().any(|b| b.get("cache_control").is_some()));
+    assert!(
+        has_marker,
+        "expected a cache_control breakpoint on message {bp_idx}, got {bp_msg}"
+    );
+}
+
+fn long_anthropic_body() -> Value {
+    let long = long_text();
+    let mut messages = vec![];
+    for _ in 0..16 {
+        messages.push(json!({"role":"user","content": long}));
+        messages.push(json!({"role":"assistant","content": long}));
+    }
+    messages.push(json!({"role":"user","content":"what is the latest?"}));
+    json!({
+        "model":"claude-sonnet-5",
+        "system":"you are helpful",
+        "messages": messages,
+    })
+}
+
+#[test]
+fn optimize_anthropic_bytes_live_shrinks_and_keeps_cache_control() {
+    let body = Bytes::from(serde_json::to_vec(&long_anthropic_body()).unwrap());
+    let metrics = crate::metrics::Metrics::new();
+    let engine = OptimizerEngine::new(Mode::Live);
+    let out = engine.optimize_anthropic_bytes(body.clone(), "messages", &metrics);
+    assert!(out.len() < body.len(), "live output must be smaller");
+    // The frontier cache_control breakpoint must survive to the wire bytes --
+    // the whole point of doing this on Bytes instead of the typed round-trip.
+    let root: Value = serde_json::from_slice(&out).unwrap();
+    let has_marker = root["messages"].as_array().unwrap().iter().any(|m| {
+        m["content"]
+            .as_array()
+            .is_some_and(|arr| arr.iter().any(|b| b.get("cache_control").is_some()))
+    });
+    assert!(
+        has_marker,
+        "cache_control breakpoint dropped from wire bytes"
+    );
+    assert_eq!(metrics.snapshot().optimizer_compressed_total, 1);
+}
+
+#[test]
+fn optimize_anthropic_bytes_off_is_noop() {
+    let body = Bytes::from(serde_json::to_vec(&long_anthropic_body()).unwrap());
+    let metrics = crate::metrics::Metrics::new();
+    let engine = OptimizerEngine::new(Mode::Off);
+    let out = engine.optimize_anthropic_bytes(body.clone(), "messages", &metrics);
+    assert_eq!(out, body, "off mode must return the body unchanged");
+    assert_eq!(metrics.snapshot().optimizer_compressed_total, 0);
+}
+
+#[test]
+fn optimize_anthropic_bytes_fails_open_on_garbage() {
+    let body = Bytes::from_static(b"not json");
+    let metrics = crate::metrics::Metrics::new();
+    let engine = OptimizerEngine::new(Mode::Live);
+    let out = engine.optimize_anthropic_bytes(body.clone(), "messages", &metrics);
+    assert_eq!(out, body, "garbage body returned unchanged");
+    assert_eq!(metrics.snapshot().optimizer_compressed_total, 0);
+}
+
+#[test]
+fn with_mode_override_prefers_override() {
+    let engine = OptimizerEngine::new(Mode::Off);
+    let overridden = engine.with_mode_override("live");
+    assert_eq!(overridden.policy.mode, Mode::Live);
+    // The original engine is untouched.
+    assert_eq!(engine.policy.mode, Mode::Off);
+}
+
+#[test]
+fn with_mode_override_falls_back_on_unparseable_value() {
+    let engine = OptimizerEngine::new(Mode::Shadow);
+    let overridden = engine.with_mode_override("not-a-real-mode");
+    assert_eq!(overridden.policy.mode, Mode::Shadow);
+}
+
+#[test]
+fn resolve_runtime_optimizer_prefers_runtime_override() {
+    let engine = OptimizerEngine::new(Mode::Off);
+    let resolved = resolve_runtime_optimizer(&engine, "live");
+    assert_eq!(resolved.policy.mode, Mode::Live);
+}
+
+#[test]
+fn resolve_runtime_optimizer_keeps_static_when_modes_match() {
+    let engine = OptimizerEngine::new(Mode::Shadow);
+    let resolved = resolve_runtime_optimizer(&engine, "shadow");
+    assert_eq!(resolved.policy.mode, Mode::Shadow);
+}
+
+#[test]
+fn resolve_runtime_optimizer_falls_back_on_unparseable_value() {
+    let engine = OptimizerEngine::new(Mode::Shadow);
+    let resolved = resolve_runtime_optimizer(&engine, "not-a-real-mode");
+    assert_eq!(resolved.policy.mode, Mode::Shadow);
+}
+
+#[test]
+fn route_precedence_wins_over_runtime_and_static() {
+    // Full three-tier precedence, mirroring `effective_optimizer`'s own logic:
+    // static (env-seeded) engine mode is Off, runtime tier says Shadow, but a
+    // route-level override of Live must win over both.
+    let static_engine = OptimizerEngine::new(Mode::Off);
+    let runtime_tier = resolve_runtime_optimizer(&static_engine, "shadow");
+    assert_eq!(
+        runtime_tier.policy.mode,
+        Mode::Shadow,
+        "runtime beats static"
+    );
+
+    // Route override is applied directly against the static engine (as
+    // `effective_optimizer` does), bypassing the runtime tier entirely.
+    let route_tier = static_engine.with_mode_override("live");
+    assert_eq!(
+        route_tier.policy.mode,
+        Mode::Live,
+        "route beats runtime and static"
+    );
+}
+
+#[test]
+fn fails_open_on_malformed_messages_field() {
+    // "messages" is a string, not an array — adapters degrade to an empty
+    // Conversation rather than panicking, so this must not mutate or panic.
+    let mut body = json!({"model":"gpt-4o","messages":"not an array"});
+    let before = body.clone();
+    let engine = OptimizerEngine::new(Mode::Live);
+    let report = engine.optimize_openai(&mut body, "chat_completions");
+    assert_eq!(body, before);
+    assert!(!report.applied);
+}
diff --git a/crates/proxy/src/runtime/error.rs b/crates/proxy/src/runtime/error.rs
new file mode 100644
index 0000000..e5bfa8d
--- /dev/null
+++ b/crates/proxy/src/runtime/error.rs
@@ -0,0 +1,72 @@
+//! Runtime-specific error type (no axum response types).
+
+use crate::backend::BackendError;
+use crate::config::BackendKind;
+use std::fmt;
+
+/// Runtime errors that do not expose axum response types.
+#[derive(Debug)]
+pub enum ChatCompletionError {
+    InvalidRequest(String),
+    Translation(anyllm_translate::TranslateError),
+    Routing(String),
+    UnsupportedBackend {
+        backend_name: String,
+        backend_kind: BackendKind,
+    },
+    Backend(BackendError),
+    StreamRead(String),
+    StreamParse(String),
+    StreamBufferOverflow,
+    StreamTimeout,
+}
+
+impl ChatCompletionError {
+    pub fn status_code(&self) -> u16 {
+        match self {
+            Self::InvalidRequest(_) | Self::Translation(_) | Self::UnsupportedBackend { .. } => 400,
+            Self::Routing(_) => 429,
+            Self::Backend(e) => e.status_code(),
+            Self::StreamRead(_)
+            | Self::StreamParse(_)
+            | Self::StreamBufferOverflow
+            | Self::StreamTimeout => 502,
+        }
+    }
+}
+
+impl fmt::Display for ChatCompletionError {
+    fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result {
+        match self {
+            Self::InvalidRequest(msg) => write!(f, "{msg}"),
+            Self::Translation(e) => write!(f, "{e}"),
+            Self::Routing(msg) => write!(f, "{msg}"),
+            Self::UnsupportedBackend {
+                backend_name,
+                backend_kind,
+            } => write!(
+                f,
+                "backend '{backend_name}' ({backend_kind:?}) does not support Chat Completions runtime"
+            ),
+            Self::Backend(e) => write!(f, "{e}"),
+            Self::StreamRead(e) => write!(f, "stream read error: {e}"),
+            Self::StreamParse(e) => write!(f, "stream parse error: {e}"),
+            Self::StreamBufferOverflow => write!(f, "SSE buffer exceeded maximum size"),
+            Self::StreamTimeout => write!(f, "stream exceeded wall-clock timeout"),
+        }
+    }
+}
+
+impl std::error::Error for ChatCompletionError {}
+
+impl From<anyllm_translate::TranslateError> for ChatCompletionError {
+    fn from(e: anyllm_translate::TranslateError) -> Self {
+        Self::Translation(e)
+    }
+}
+
+impl From<BackendError> for ChatCompletionError {
+    fn from(e: BackendError) -> Self {
+        Self::Backend(e)
+    }
+}
diff --git a/crates/proxy/src/runtime/mod.rs b/crates/proxy/src/runtime/mod.rs
index f085fb5..1913eb6 100644
--- a/crates/proxy/src/runtime/mod.rs
+++ b/crates/proxy/src/runtime/mod.rs
@@ -2,572 +2,20 @@
 //!
 //! This module exposes model routing and backend dispatch without taking
 //! ownership of HTTP routing, auth, admin UI, caching, or tool execution.
+//!
+//! - [`error`]   runtime error type
+//! - [`types`]   result / metadata / service-trait types
+//! - [`service`] the `ChatCompletionRuntime` implementation
+//! - [`stream`]  SSE chunk stream adapters
 
-use crate::backend::{BackendClient, BackendError, RateLimitHeaders};
-use crate::config::{BackendKind, Config, ModelMapping, MultiConfig, OpenAIApiFormat};
-use crate::openai_tool_policy::{prepare_openai_tool_request, OpenAiToolPolicyContext};
-use anyllm_providers::ProviderCatalog;
-use anyllm_translate::{
-    mapping, openai, translate_anthropic_to_openai_response, translate_openai_to_anthropic_request,
-    TranslationWarnings,
-};
-use futures::{
-    future::{BoxFuture, FutureExt},
-    Stream,
-};
-use std::collections::HashMap;
-use std::fmt;
-use std::pin::Pin;
-use std::sync::{Arc, RwLock};
-use std::time::Instant;
-
-/// Stream returned by [`ChatCompletionRuntime::complete_stream`].
-pub type ChatCompletionChunkStream =
-    Pin<Box<dyn Stream<Item = Result<openai::ChatCompletionChunk, ChatCompletionError>> + Send>>;
-
-/// Object-safe service API for one Chat Completions call at a time.
-pub trait ChatCompletionService: Send + Sync {
-    fn complete<'a>(
-        &'a self,
-        req: openai::ChatCompletionRequest,
-    ) -> BoxFuture<'a, Result<ChatCompletionResult, ChatCompletionError>>;
-
-    fn complete_stream<'a>(
-        &'a self,
-        req: openai::ChatCompletionRequest,
-    ) -> BoxFuture<'a, Result<ChatCompletionStreamResult, ChatCompletionError>>;
-}
-
-/// Non-streaming runtime response.
-#[derive(Debug)]
-pub struct ChatCompletionResult {
-    pub response: openai::ChatCompletionResponse,
-    pub usage: Option<openai::ChatUsage>,
-    pub rate_limits: RateLimitHeaders,
-    pub metadata: ChatCompletionMetadata,
-    pub warnings: TranslationWarnings,
-}
-
-/// Streaming runtime response.
-pub struct ChatCompletionStreamResult {
-    pub chunks: ChatCompletionChunkStream,
-    pub rate_limits: RateLimitHeaders,
-    pub metadata: ChatCompletionMetadata,
-    pub warnings: TranslationWarnings,
-}
-
-impl fmt::Debug for ChatCompletionStreamResult {
-    fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result {
-        f.debug_struct("ChatCompletionStreamResult")
-            .field("chunks", &"<stream>")
-            .field("rate_limits", &self.rate_limits)
-            .field("metadata", &self.metadata)
-            .field("warnings", &self.warnings)
-            .finish()
-    }
-}
-
-/// Backend selection metadata for observability and callers that need accounting.
-#[derive(Debug, Clone)]
-pub struct ChatCompletionMetadata {
-    pub requested_model: String,
-    pub selected_backend: String,
-    pub mapped_model: String,
-    pub backend_kind: BackendKind,
-    pub provider_id: Option<String>,
-    pub api_format: OpenAIApiFormat,
-    pub used_responses_api: bool,
-}
-
-/// Runtime errors that do not expose axum response types.
-#[derive(Debug)]
-pub enum ChatCompletionError {
-    InvalidRequest(String),
-    Translation(anyllm_translate::TranslateError),
-    Routing(String),
-    UnsupportedBackend {
-        backend_name: String,
-        backend_kind: BackendKind,
-    },
-    Backend(BackendError),
-    StreamRead(String),
-    StreamParse(String),
-    StreamBufferOverflow,
-    StreamTimeout,
-}
-
-impl ChatCompletionError {
-    pub fn status_code(&self) -> u16 {
-        match self {
-            Self::InvalidRequest(_) | Self::Translation(_) | Self::UnsupportedBackend { .. } => 400,
-            Self::Routing(_) => 429,
-            Self::Backend(e) => e.status_code(),
-            Self::StreamRead(_)
-            | Self::StreamParse(_)
-            | Self::StreamBufferOverflow
-            | Self::StreamTimeout => 502,
-        }
-    }
-}
-
-impl fmt::Display for ChatCompletionError {
-    fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result {
-        match self {
-            Self::InvalidRequest(msg) => write!(f, "{msg}"),
-            Self::Translation(e) => write!(f, "{e}"),
-            Self::Routing(msg) => write!(f, "{msg}"),
-            Self::UnsupportedBackend {
-                backend_name,
-                backend_kind,
-            } => write!(
-                f,
-                "backend '{backend_name}' ({backend_kind:?}) does not support Chat Completions runtime"
-            ),
-            Self::Backend(e) => write!(f, "{e}"),
-            Self::StreamRead(e) => write!(f, "stream read error: {e}"),
-            Self::StreamParse(e) => write!(f, "stream parse error: {e}"),
-            Self::StreamBufferOverflow => write!(f, "SSE buffer exceeded maximum size"),
-            Self::StreamTimeout => write!(f, "stream exceeded wall-clock timeout"),
-        }
-    }
-}
-
-impl std::error::Error for ChatCompletionError {}
-
-impl From<anyllm_translate::TranslateError> for ChatCompletionError {
-    fn from(e: anyllm_translate::TranslateError) -> Self {
-        Self::Translation(e)
-    }
-}
-
-impl From<BackendError> for ChatCompletionError {
-    fn from(e: BackendError) -> Self {
-        Self::Backend(e)
-    }
-}
-
-/// Chat Completions runtime built from proxy backend configuration.
-#[derive(Clone)]
-pub struct ChatCompletionRuntime {
-    default_backend: String,
-    backends: Arc<HashMap<String, RuntimeBackend>>,
-    model_router: Option<Arc<RwLock<crate::config::model_router::ModelRouter>>>,
-    provider_catalog: Arc<ProviderCatalog>,
-}
-
-#[derive(Clone)]
-struct RuntimeBackend {
-    backend: BackendClient,
-    backend_name: String,
-    model_mapping: ModelMapping,
-    backend_kind: BackendKind,
-    api_format: OpenAIApiFormat,
-    omit_stream_options: bool,
-    stream_timeout_secs: u64,
-    provider_id: Option<String>,
-}
-
-struct ResolvedBackend {
-    state: RuntimeBackend,
-    mapped_model: String,
-    deployment: Option<Arc<crate::config::model_router::Deployment>>,
-}
-
-impl ChatCompletionRuntime {
-    /// Build a runtime from a legacy single-backend config.
-    pub fn from_config(config: Config) -> Self {
-        let multi = MultiConfig::from_single_config(&config);
-        let default_backend = multi.default_backend.clone();
-        let (_, bc) = multi
-            .backends
-            .get_key_value(&default_backend)
-            .expect("wrapped config must contain default backend");
-
-        let backend = if config.backend == BackendKind::Bedrock {
-            BackendClient::from_backend_config(bc)
-        } else {
-            BackendClient::new(&config)
-        };
-
-        let mut backends = HashMap::new();
-        backends.insert(
-            default_backend.clone(),
-            RuntimeBackend {
-                backend,
-                backend_name: default_backend.clone(),
-                model_mapping: bc.model_mapping.clone(),
-                backend_kind: bc.kind.clone(),
-                api_format: bc.api_format.clone(),
-                omit_stream_options: bc.omit_stream_options,
-                stream_timeout_secs: bc.stream_timeout_secs,
-                provider_id: config.provider_id.clone(),
-            },
-        );
-
-        Self {
-            default_backend,
-            backends: Arc::new(backends),
-            model_router: None,
-            provider_catalog: Arc::new(ProviderCatalog::bundled()),
-        }
-    }
-
-    /// Build a runtime from multi-backend config without model-list routing.
-    pub fn from_multi_config(config: MultiConfig) -> Self {
-        Self::from_multi_config_with_model_router(config, None)
-    }
-
-    /// Build a runtime from multi-backend config and an optional model router.
-    pub fn from_multi_config_with_model_router(
-        config: MultiConfig,
-        model_router: Option<Arc<RwLock<crate::config::model_router::ModelRouter>>>,
-    ) -> Self {
-        let mut backends = HashMap::new();
-        for (name, bc) in &config.backends {
-            backends.insert(
-                name.clone(),
-                RuntimeBackend {
-                    backend: BackendClient::from_backend_config(bc),
-                    backend_name: name.clone(),
-                    model_mapping: bc.model_mapping.clone(),
-                    backend_kind: bc.kind.clone(),
-                    api_format: bc.api_format.clone(),
-                    omit_stream_options: bc.omit_stream_options,
-                    stream_timeout_secs: bc.stream_timeout_secs,
-                    provider_id: bc.provider_id.clone(),
-                },
-            );
-        }
-
-        Self {
-            default_backend: config.default_backend,
-            backends: Arc::new(backends),
-            model_router,
-            provider_catalog: Arc::new(ProviderCatalog::bundled()),
-        }
-    }
-
-    fn resolve(&self, model: &str) -> Result<ResolvedBackend, ChatCompletionError> {
-        if let Some(ref router_lock) = self.model_router {
-            let router = router_lock.read().unwrap_or_else(|e| e.into_inner());
-            if let Some(routed) = router.route(model) {
-                let state = self
-                    .backends
-                    .get(routed.backend_name)
-                    .cloned()
-                    .ok_or_else(|| {
-                        ChatCompletionError::Routing(format!(
-                            "model '{model}' routed to unknown backend '{}'",
-                            routed.backend_name
-                        ))
-                    })?;
-                return Ok(ResolvedBackend {
-                    state,
-                    mapped_model: routed.actual_model.to_string(),
-                    deployment: Some(routed.deployment.clone()),
-                });
-            }
-            if router.has_model(model) {
-                return Err(ChatCompletionError::Routing(
-                    "all deployments for this model are at their RPM limit".to_string(),
-                ));
-            }
-            return Err(ChatCompletionError::InvalidRequest(format!(
-                "model '{model}' is not configured in model_list"
-            )));
-        }
-
-        let state = self
-            .backends
-            .get(&self.default_backend)
-            .cloned()
-            .ok_or_else(|| {
-                ChatCompletionError::Routing(format!(
-                    "default backend '{}' is not configured",
-                    self.default_backend
-                ))
-            })?;
-        Ok(ResolvedBackend {
-            mapped_model: state.model_mapping.map_model(model),
-            state,
-            deployment: None,
-        })
-    }
-}
-
-impl ChatCompletionService for ChatCompletionRuntime {
-    fn complete<'a>(
-        &'a self,
-        req: openai::ChatCompletionRequest,
-    ) -> BoxFuture<'a, Result<ChatCompletionResult, ChatCompletionError>> {
-        async move { self.complete_inner(req).await }.boxed()
-    }
-
-    fn complete_stream<'a>(
-        &'a self,
-        req: openai::ChatCompletionRequest,
-    ) -> BoxFuture<'a, Result<ChatCompletionStreamResult, ChatCompletionError>> {
-        async move { self.complete_stream_inner(req).await }.boxed()
-    }
-}
-
-impl ChatCompletionRuntime {
-    async fn complete_inner(
-        &self,
-        req: openai::ChatCompletionRequest,
-    ) -> Result<ChatCompletionResult, ChatCompletionError> {
-        if req.stream == Some(true) {
-            return Err(ChatCompletionError::InvalidRequest(
-                "complete does not accept stream=true; use complete_stream".to_string(),
-            ));
-        }
-
-        let requested_model = req.model.clone();
-        let resolved = self.resolve(&requested_model)?;
-        let metadata = metadata(&requested_model, &resolved);
-        let mut warnings = TranslationWarnings::default();
-
-        match &resolved.state.backend {
-            BackendClient::OpenAI(client)
-            | BackendClient::AzureOpenAI(client)
-            | BackendClient::Vertex(client)
-            | BackendClient::GeminiOpenAI(client) => {
-                let mut openai_req = req;
-                prepare_openai_request(
-                    &mut openai_req,
-                    &resolved,
-                    false,
-                    &mut warnings,
-                    &self.provider_catalog,
-                )?;
-
-                let start = record_start(&resolved.deployment);
-                match client.chat_completion(&openai_req).await {
-                    Ok((response, _status, rate_limits)) => {
-                        record_finish(&resolved.deployment, start);
-                        if let Some(ref deployment) = resolved.deployment {
-                            if let Some(ref usage) = response.usage {
-                                deployment.record_tokens(usage.total_tokens as u64);
-                            }
-                        }
-                        Ok(ChatCompletionResult {
-                            usage: response.usage.clone(),
-                            response,
-                            rate_limits,
-                            metadata,
-                            warnings,
-                        })
-                    }
-                    Err(e) => {
-                        record_finish(&resolved.deployment, start);
-                        Err(ChatCompletionError::Backend(BackendError::from(e)))
-                    }
-                }
-            }
-            BackendClient::OpenAIResponses(client) => {
-                let anthropic_req = translate_openai_to_anthropic_request(&req, &mut warnings)?;
-                let mut responses_req =
-                    mapping::responses_message_map::anthropic_to_responses_request(&anthropic_req);
-                responses_req.model = resolved.mapped_model.clone();
-
-                let start = record_start(&resolved.deployment);
-                match client.responses(&responses_req).await {
-                    Ok((resp, _status, rate_limits)) => {
-                        record_finish(&resolved.deployment, start);
-                        let anthropic_resp =
-                            mapping::responses_message_map::responses_to_anthropic_response(
-                                &resp,
-                                &requested_model,
-                            );
-                        if let Some(ref deployment) = resolved.deployment {
-                            deployment.record_tokens(
-                                anthropic_resp.usage.input_tokens as u64
-                                    + anthropic_resp.usage.output_tokens as u64,
-                            );
-                        }
-                        let response = translate_anthropic_to_openai_response(
-                            &anthropic_resp,
-                            &requested_model,
-                        );
-                        Ok(ChatCompletionResult {
-                            usage: response.usage.clone(),
-                            response,
-                            rate_limits,
-                            metadata,
-                            warnings,
-                        })
-                    }
-                    Err(e) => {
-                        record_finish(&resolved.deployment, start);
-                        Err(ChatCompletionError::Backend(BackendError::from(e)))
-                    }
-                }
-            }
-            BackendClient::Anthropic(_)
-            | BackendClient::Bedrock(_)
-            | BackendClient::GeminiNative(_) => Err(ChatCompletionError::UnsupportedBackend {
-                backend_name: resolved.state.backend_name,
-                backend_kind: resolved.state.backend_kind,
-            }),
-        }
-    }
-
-    async fn complete_stream_inner(
-        &self,
-        req: openai::ChatCompletionRequest,
-    ) -> Result<ChatCompletionStreamResult, ChatCompletionError> {
-        let requested_model = req.model.clone();
-        let resolved = self.resolve(&requested_model)?;
-        let metadata = metadata(&requested_model, &resolved);
-        let mut warnings = TranslationWarnings::default();
-
-        match &resolved.state.backend {
-            BackendClient::OpenAI(client)
-            | BackendClient::AzureOpenAI(client)
-            | BackendClient::Vertex(client)
-            | BackendClient::GeminiOpenAI(client) => {
-                let mut openai_req = req;
-                prepare_openai_request(
-                    &mut openai_req,
-                    &resolved,
-                    true,
-                    &mut warnings,
-                    &self.provider_catalog,
-                )?;
-
-                let start = record_start(&resolved.deployment);
-                match client.chat_completion_stream(&openai_req).await {
-                    Ok((response, rate_limits)) => Ok(ChatCompletionStreamResult {
-                        chunks: openai_chunk_stream(
-                            response,
-                            resolved.state.stream_timeout_secs,
-                            DeploymentLatencyGuard::from_started(
-                                resolved.deployment.clone(),
-                                start,
-                            ),
-                        ),
-                        rate_limits,
-                        metadata,
-                        warnings,
-                    }),
-                    Err(e) => {
-                        record_finish(&resolved.deployment, start);
-                        Err(ChatCompletionError::Backend(BackendError::from(e)))
-                    }
-                }
-            }
-            BackendClient::OpenAIResponses(client) => {
-                let anthropic_req = translate_openai_to_anthropic_request(&req, &mut warnings)?;
-                let mut responses_req =
-                    mapping::responses_message_map::anthropic_to_responses_request(&anthropic_req);
-                responses_req.model = resolved.mapped_model.clone();
-                responses_req.stream = Some(true);
-
-                let start = record_start(&resolved.deployment);
-                match client.responses_stream(&responses_req).await {
-                    Ok((response, rate_limits)) => Ok(ChatCompletionStreamResult {
-                        chunks: responses_chunk_stream(
-                            response,
-                            requested_model,
-                            resolved.state.stream_timeout_secs,
-                            DeploymentLatencyGuard::from_started(
-                                resolved.deployment.clone(),
-                                start,
-                            ),
-                        ),
-                        rate_limits,
-                        metadata,
-                        warnings,
-                    }),
-                    Err(e) => {
-                        record_finish(&resolved.deployment, start);
-                        Err(ChatCompletionError::Backend(BackendError::from(e)))
-                    }
-                }
-            }
-            BackendClient::Anthropic(_)
-            | BackendClient::Bedrock(_)
-            | BackendClient::GeminiNative(_) => Err(ChatCompletionError::UnsupportedBackend {
-                backend_name: resolved.state.backend_name,
-                backend_kind: resolved.state.backend_kind,
-            }),
-        }
-    }
-}
-
-fn metadata(requested_model: &str, resolved: &ResolvedBackend) -> ChatCompletionMetadata {
-    ChatCompletionMetadata {
-        requested_model: requested_model.to_string(),
-        selected_backend: resolved.state.backend_name.clone(),
-        mapped_model: resolved.mapped_model.clone(),
-        backend_kind: resolved.state.backend_kind.clone(),
-        provider_id: resolved.state.provider_id.clone(),
-        api_format: resolved.state.api_format.clone(),
-        used_responses_api: matches!(resolved.state.backend, BackendClient::OpenAIResponses(_)),
-    }
-}
-
-fn record_start(
-    deployment: &Option<Arc<crate::config::model_router::Deployment>>,
-) -> Option<Instant> {
-    if let Some(d) = deployment {
-        d.record_start();
-        Some(Instant::now())
-    } else {
-        None
-    }
-}
-
-fn record_finish(
-    deployment: &Option<Arc<crate::config::model_router::Deployment>>,
-    start: Option<Instant>,
-) {
-    if let (Some(d), Some(start)) = (deployment, start) {
-        d.record_finish(start.elapsed().as_millis() as u64);
-    }
-}
-
+mod error;
+mod service;
 pub mod stream;
-use stream::{openai_chunk_stream, responses_chunk_stream, DeploymentLatencyGuard};
+mod types;
 
-fn prepare_openai_request(
-    req: &mut openai::ChatCompletionRequest,
-    resolved: &ResolvedBackend,
-    streaming: bool,
-    warnings: &mut TranslationWarnings,
-    provider_catalog: &ProviderCatalog,
-) -> Result<(), ChatCompletionError> {
-    req.model = resolved.mapped_model.clone();
-    req.stream = Some(streaming);
-
-    if streaming {
-        if resolved.state.omit_stream_options {
-            if req.stream_options.is_some() {
-                warnings.add("stream_options");
-            }
-            req.stream_options = None;
-        } else {
-            req.stream_options = Some(openai::StreamOptions {
-                include_usage: true,
-            });
-        }
-    } else if resolved.state.omit_stream_options {
-        if req.stream_options.is_some() {
-            warnings.add("stream_options");
-        }
-        req.stream_options = None;
-    }
-
-    prepare_openai_tool_request(
-        req,
-        OpenAiToolPolicyContext {
-            backend_kind: resolved.state.backend_kind.clone(),
-            provider_id: resolved.state.provider_id.as_deref(),
-            model: &resolved.mapped_model,
-            provider_catalog,
-        },
-        warnings,
-    )
-    .map(|_| ())
-    .map_err(|e| ChatCompletionError::InvalidRequest(e.to_string()))
-}
+pub use error::ChatCompletionError;
+pub use service::ChatCompletionRuntime;
+pub use types::{
+    ChatCompletionChunkStream, ChatCompletionMetadata, ChatCompletionResult, ChatCompletionService,
+    ChatCompletionStreamResult,
+};
diff --git a/crates/proxy/src/runtime/service.rs b/crates/proxy/src/runtime/service.rs
new file mode 100644
index 0000000..0b05669
--- /dev/null
+++ b/crates/proxy/src/runtime/service.rs
@@ -0,0 +1,443 @@
+//! `ChatCompletionRuntime`: model routing, backend dispatch, and the
+//! `ChatCompletionService` implementation.
+
+use super::error::ChatCompletionError;
+use super::stream::{openai_chunk_stream, responses_chunk_stream, DeploymentLatencyGuard};
+use super::types::{
+    ChatCompletionMetadata, ChatCompletionResult, ChatCompletionService, ChatCompletionStreamResult,
+};
+use crate::backend::{BackendClient, BackendError};
+use crate::config::{BackendKind, Config, ModelMapping, MultiConfig, OpenAIApiFormat};
+use crate::openai_tool_policy::{prepare_openai_tool_request, OpenAiToolPolicyContext};
+use anyllm_providers::ProviderCatalog;
+use anyllm_translate::{
+    mapping, openai, translate_anthropic_to_openai_response, translate_openai_to_anthropic_request,
+    TranslationWarnings,
+};
+use futures::future::{BoxFuture, FutureExt};
+use std::collections::HashMap;
+use std::sync::{Arc, RwLock};
+use std::time::Instant;
+
+/// Chat Completions runtime built from proxy backend configuration.
+#[derive(Clone)]
+pub struct ChatCompletionRuntime {
+    default_backend: String,
+    backends: Arc<HashMap<String, RuntimeBackend>>,
+    model_router: Option<Arc<RwLock<crate::config::model_router::ModelRouter>>>,
+    provider_catalog: Arc<ProviderCatalog>,
+}
+
+#[derive(Clone)]
+struct RuntimeBackend {
+    backend: BackendClient,
+    backend_name: String,
+    model_mapping: ModelMapping,
+    backend_kind: BackendKind,
+    api_format: OpenAIApiFormat,
+    omit_stream_options: bool,
+    stream_timeout_secs: u64,
+    provider_id: Option<String>,
+}
+
+struct ResolvedBackend {
+    state: RuntimeBackend,
+    mapped_model: String,
+    deployment: Option<Arc<crate::config::model_router::Deployment>>,
+}
+
+impl ChatCompletionRuntime {
+    /// Build a runtime from a legacy single-backend config.
+    pub fn from_config(config: Config) -> Self {
+        let multi = MultiConfig::from_single_config(&config);
+        let default_backend = multi.default_backend.clone();
+        let (_, bc) = multi
+            .backends
+            .get_key_value(&default_backend)
+            .expect("wrapped config must contain default backend");
+
+        let backend = if config.backend == BackendKind::Bedrock {
+            BackendClient::from_backend_config(bc)
+        } else {
+            BackendClient::new(&config)
+        };
+
+        let mut backends = HashMap::new();
+        backends.insert(
+            default_backend.clone(),
+            RuntimeBackend {
+                backend,
+                backend_name: default_backend.clone(),
+                model_mapping: bc.model_mapping.clone(),
+                backend_kind: bc.kind.clone(),
+                api_format: bc.api_format.clone(),
+                omit_stream_options: bc.omit_stream_options,
+                stream_timeout_secs: bc.stream_timeout_secs,
+                provider_id: config.provider_id.clone(),
+            },
+        );
+
+        Self {
+            default_backend,
+            backends: Arc::new(backends),
+            model_router: None,
+            provider_catalog: Arc::new(ProviderCatalog::bundled()),
+        }
+    }
+
+    /// Build a runtime from multi-backend config without model-list routing.
+    pub fn from_multi_config(config: MultiConfig) -> Self {
+        Self::from_multi_config_with_model_router(config, None)
+    }
+
+    /// Build a runtime from multi-backend config and an optional model router.
+    pub fn from_multi_config_with_model_router(
+        config: MultiConfig,
+        model_router: Option<Arc<RwLock<crate::config::model_router::ModelRouter>>>,
+    ) -> Self {
+        let mut backends = HashMap::new();
+        for (name, bc) in &config.backends {
+            backends.insert(
+                name.clone(),
+                RuntimeBackend {
+                    backend: BackendClient::from_backend_config(bc),
+                    backend_name: name.clone(),
+                    model_mapping: bc.model_mapping.clone(),
+                    backend_kind: bc.kind.clone(),
+                    api_format: bc.api_format.clone(),
+                    omit_stream_options: bc.omit_stream_options,
+                    stream_timeout_secs: bc.stream_timeout_secs,
+                    provider_id: bc.provider_id.clone(),
+                },
+            );
+        }
+
+        Self {
+            default_backend: config.default_backend,
+            backends: Arc::new(backends),
+            model_router,
+            provider_catalog: Arc::new(ProviderCatalog::bundled()),
+        }
+    }
+
+    fn resolve(&self, model: &str) -> Result<ResolvedBackend, ChatCompletionError> {
+        if let Some(ref router_lock) = self.model_router {
+            let router = router_lock.read().unwrap_or_else(|e| e.into_inner());
+            if let Some(routed) = router.route(model) {
+                let state = self
+                    .backends
+                    .get(routed.backend_name)
+                    .cloned()
+                    .ok_or_else(|| {
+                        ChatCompletionError::Routing(format!(
+                            "model '{model}' routed to unknown backend '{}'",
+                            routed.backend_name
+                        ))
+                    })?;
+                return Ok(ResolvedBackend {
+                    state,
+                    mapped_model: routed.actual_model.to_string(),
+                    deployment: Some(routed.deployment.clone()),
+                });
+            }
+            if router.has_model(model) {
+                return Err(ChatCompletionError::Routing(
+                    "all deployments for this model are at their RPM limit".to_string(),
+                ));
+            }
+            return Err(ChatCompletionError::InvalidRequest(format!(
+                "model '{model}' is not configured in model_list"
+            )));
+        }
+
+        let state = self
+            .backends
+            .get(&self.default_backend)
+            .cloned()
+            .ok_or_else(|| {
+                ChatCompletionError::Routing(format!(
+                    "default backend '{}' is not configured",
+                    self.default_backend
+                ))
+            })?;
+        Ok(ResolvedBackend {
+            mapped_model: state.model_mapping.map_model(model),
+            state,
+            deployment: None,
+        })
+    }
+}
+
+impl ChatCompletionService for ChatCompletionRuntime {
+    fn complete<'a>(
+        &'a self,
+        req: openai::ChatCompletionRequest,
+    ) -> BoxFuture<'a, Result<ChatCompletionResult, ChatCompletionError>> {
+        async move { self.complete_inner(req).await }.boxed()
+    }
+
+    fn complete_stream<'a>(
+        &'a self,
+        req: openai::ChatCompletionRequest,
+    ) -> BoxFuture<'a, Result<ChatCompletionStreamResult, ChatCompletionError>> {
+        async move { self.complete_stream_inner(req).await }.boxed()
+    }
+}
+
+impl ChatCompletionRuntime {
+    async fn complete_inner(
+        &self,
+        req: openai::ChatCompletionRequest,
+    ) -> Result<ChatCompletionResult, ChatCompletionError> {
+        if req.stream == Some(true) {
+            return Err(ChatCompletionError::InvalidRequest(
+                "complete does not accept stream=true; use complete_stream".to_string(),
+            ));
+        }
+
+        let requested_model = req.model.clone();
+        let resolved = self.resolve(&requested_model)?;
+        let metadata = metadata(&requested_model, &resolved);
+        let mut warnings = TranslationWarnings::default();
+
+        match &resolved.state.backend {
+            BackendClient::OpenAI(client)
+            | BackendClient::AzureOpenAI(client)
+            | BackendClient::Vertex(client)
+            | BackendClient::GeminiOpenAI(client) => {
+                let mut openai_req = req;
+                prepare_openai_request(
+                    &mut openai_req,
+                    &resolved,
+                    false,
+                    &mut warnings,
+                    &self.provider_catalog,
+                )?;
+
+                let start = record_start(&resolved.deployment);
+                match client.chat_completion(&openai_req).await {
+                    Ok((response, _status, rate_limits)) => {
+                        record_finish(&resolved.deployment, start);
+                        if let Some(ref deployment) = resolved.deployment {
+                            if let Some(ref usage) = response.usage {
+                                deployment.record_tokens(usage.total_tokens as u64);
+                            }
+                        }
+                        Ok(ChatCompletionResult {
+                            usage: response.usage.clone(),
+                            response,
+                            rate_limits,
+                            metadata,
+                            warnings,
+                        })
+                    }
+                    Err(e) => {
+                        record_finish(&resolved.deployment, start);
+                        Err(ChatCompletionError::Backend(BackendError::from(e)))
+                    }
+                }
+            }
+            BackendClient::OpenAIResponses(client) => {
+                let anthropic_req = translate_openai_to_anthropic_request(&req, &mut warnings)?;
+                let mut responses_req =
+                    mapping::responses_message_map::anthropic_to_responses_request(&anthropic_req);
+                responses_req.model = resolved.mapped_model.clone();
+
+                let start = record_start(&resolved.deployment);
+                match client.responses(&responses_req).await {
+                    Ok((resp, _status, rate_limits)) => {
+                        record_finish(&resolved.deployment, start);
+                        let anthropic_resp =
+                            mapping::responses_message_map::responses_to_anthropic_response(
+                                &resp,
+                                &requested_model,
+                            );
+                        if let Some(ref deployment) = resolved.deployment {
+                            deployment.record_tokens(
+                                anthropic_resp.usage.input_tokens as u64
+                                    + anthropic_resp.usage.output_tokens as u64,
+                            );
+                        }
+                        let response = translate_anthropic_to_openai_response(
+                            &anthropic_resp,
+                            &requested_model,
+                        );
+                        Ok(ChatCompletionResult {
+                            usage: response.usage.clone(),
+                            response,
+                            rate_limits,
+                            metadata,
+                            warnings,
+                        })
+                    }
+                    Err(e) => {
+                        record_finish(&resolved.deployment, start);
+                        Err(ChatCompletionError::Backend(BackendError::from(e)))
+                    }
+                }
+            }
+            BackendClient::Anthropic(_)
+            | BackendClient::Bedrock(_)
+            | BackendClient::GeminiNative(_) => Err(ChatCompletionError::UnsupportedBackend {
+                backend_name: resolved.state.backend_name,
+                backend_kind: resolved.state.backend_kind,
+            }),
+        }
+    }
+
+    async fn complete_stream_inner(
+        &self,
+        req: openai::ChatCompletionRequest,
+    ) -> Result<ChatCompletionStreamResult, ChatCompletionError> {
+        let requested_model = req.model.clone();
+        let resolved = self.resolve(&requested_model)?;
+        let metadata = metadata(&requested_model, &resolved);
+        let mut warnings = TranslationWarnings::default();
+
+        match &resolved.state.backend {
+            BackendClient::OpenAI(client)
+            | BackendClient::AzureOpenAI(client)
+            | BackendClient::Vertex(client)
+            | BackendClient::GeminiOpenAI(client) => {
+                let mut openai_req = req;
+                prepare_openai_request(
+                    &mut openai_req,
+                    &resolved,
+                    true,
+                    &mut warnings,
+                    &self.provider_catalog,
+                )?;
+
+                let start = record_start(&resolved.deployment);
+                match client.chat_completion_stream(&openai_req).await {
+                    Ok((response, rate_limits)) => Ok(ChatCompletionStreamResult {
+                        chunks: openai_chunk_stream(
+                            response,
+                            resolved.state.stream_timeout_secs,
+                            DeploymentLatencyGuard::from_started(
+                                resolved.deployment.clone(),
+                                start,
+                            ),
+                        ),
+                        rate_limits,
+                        metadata,
+                        warnings,
+                    }),
+                    Err(e) => {
+                        record_finish(&resolved.deployment, start);
+                        Err(ChatCompletionError::Backend(BackendError::from(e)))
+                    }
+                }
+            }
+            BackendClient::OpenAIResponses(client) => {
+                let anthropic_req = translate_openai_to_anthropic_request(&req, &mut warnings)?;
+                let mut responses_req =
+                    mapping::responses_message_map::anthropic_to_responses_request(&anthropic_req);
+                responses_req.model = resolved.mapped_model.clone();
+                responses_req.stream = Some(true);
+
+                let start = record_start(&resolved.deployment);
+                match client.responses_stream(&responses_req).await {
+                    Ok((response, rate_limits)) => Ok(ChatCompletionStreamResult {
+                        chunks: responses_chunk_stream(
+                            response,
+                            requested_model,
+                            resolved.state.stream_timeout_secs,
+                            DeploymentLatencyGuard::from_started(
+                                resolved.deployment.clone(),
+                                start,
+                            ),
+                        ),
+                        rate_limits,
+                        metadata,
+                        warnings,
+                    }),
+                    Err(e) => {
+                        record_finish(&resolved.deployment, start);
+                        Err(ChatCompletionError::Backend(BackendError::from(e)))
+                    }
+                }
+            }
+            BackendClient::Anthropic(_)
+            | BackendClient::Bedrock(_)
+            | BackendClient::GeminiNative(_) => Err(ChatCompletionError::UnsupportedBackend {
+                backend_name: resolved.state.backend_name,
+                backend_kind: resolved.state.backend_kind,
+            }),
+        }
+    }
+}
+
+fn metadata(requested_model: &str, resolved: &ResolvedBackend) -> ChatCompletionMetadata {
+    ChatCompletionMetadata {
+        requested_model: requested_model.to_string(),
+        selected_backend: resolved.state.backend_name.clone(),
+        mapped_model: resolved.mapped_model.clone(),
+        backend_kind: resolved.state.backend_kind.clone(),
+        provider_id: resolved.state.provider_id.clone(),
+        api_format: resolved.state.api_format.clone(),
+        used_responses_api: matches!(resolved.state.backend, BackendClient::OpenAIResponses(_)),
+    }
+}
+
+fn record_start(
+    deployment: &Option<Arc<crate::config::model_router::Deployment>>,
+) -> Option<Instant> {
+    if let Some(d) = deployment {
+        d.record_start();
+        Some(Instant::now())
+    } else {
+        None
+    }
+}
+
+fn record_finish(
+    deployment: &Option<Arc<crate::config::model_router::Deployment>>,
+    start: Option<Instant>,
+) {
+    if let (Some(d), Some(start)) = (deployment, start) {
+        d.record_finish(start.elapsed().as_millis() as u64);
+    }
+}
+
+fn prepare_openai_request(
+    req: &mut openai::ChatCompletionRequest,
+    resolved: &ResolvedBackend,
+    streaming: bool,
+    warnings: &mut TranslationWarnings,
+    provider_catalog: &ProviderCatalog,
+) -> Result<(), ChatCompletionError> {
+    req.model = resolved.mapped_model.clone();
+    req.stream = Some(streaming);
+
+    if streaming {
+        if resolved.state.omit_stream_options {
+            if req.stream_options.is_some() {
+                warnings.add("stream_options");
+            }
+            req.stream_options = None;
+        } else {
+            req.stream_options = Some(openai::StreamOptions {
+                include_usage: true,
+            });
+        }
+    } else if resolved.state.omit_stream_options {
+        if req.stream_options.is_some() {
+            warnings.add("stream_options");
+        }
+        req.stream_options = None;
+    }
+
+    prepare_openai_tool_request(
+        req,
+        OpenAiToolPolicyContext {
+            backend_kind: resolved.state.backend_kind.clone(),
+            provider_id: resolved.state.provider_id.as_deref(),
+            model: &resolved.mapped_model,
+            provider_catalog,
+        },
+        warnings,
+    )
+    .map(|_| ())
+    .map_err(|e| ChatCompletionError::InvalidRequest(e.to_string()))
+}
diff --git a/crates/proxy/src/runtime/types.rs b/crates/proxy/src/runtime/types.rs
new file mode 100644
index 0000000..455da73
--- /dev/null
+++ b/crates/proxy/src/runtime/types.rs
@@ -0,0 +1,67 @@
+//! Runtime result, metadata, and service-trait types.
+
+use super::error::ChatCompletionError;
+use crate::backend::RateLimitHeaders;
+use crate::config::{BackendKind, OpenAIApiFormat};
+use anyllm_translate::{openai, TranslationWarnings};
+use futures::{future::BoxFuture, Stream};
+use std::fmt;
+use std::pin::Pin;
+
+/// Stream returned by [`ChatCompletionRuntime::complete_stream`].
+pub type ChatCompletionChunkStream =
+    Pin<Box<dyn Stream<Item = Result<openai::ChatCompletionChunk, ChatCompletionError>> + Send>>;
+
+/// Object-safe service API for one Chat Completions call at a time.
+pub trait ChatCompletionService: Send + Sync {
+    fn complete<'a>(
+        &'a self,
+        req: openai::ChatCompletionRequest,
+    ) -> BoxFuture<'a, Result<ChatCompletionResult, ChatCompletionError>>;
+
+    fn complete_stream<'a>(
+        &'a self,
+        req: openai::ChatCompletionRequest,
+    ) -> BoxFuture<'a, Result<ChatCompletionStreamResult, ChatCompletionError>>;
+}
+
+/// Non-streaming runtime response.
+#[derive(Debug)]
+pub struct ChatCompletionResult {
+    pub response: openai::ChatCompletionResponse,
+    pub usage: Option<openai::ChatUsage>,
+    pub rate_limits: RateLimitHeaders,
+    pub metadata: ChatCompletionMetadata,
+    pub warnings: TranslationWarnings,
+}
+
+/// Streaming runtime response.
+pub struct ChatCompletionStreamResult {
+    pub chunks: ChatCompletionChunkStream,
+    pub rate_limits: RateLimitHeaders,
+    pub metadata: ChatCompletionMetadata,
+    pub warnings: TranslationWarnings,
+}
+
+impl fmt::Debug for ChatCompletionStreamResult {
+    fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result {
+        f.debug_struct("ChatCompletionStreamResult")
+            .field("chunks", &"<stream>")
+            .field("rate_limits", &self.rate_limits)
+            .field("metadata", &self.metadata)
+            .field("warnings", &self.warnings)
+            .finish()
+    }
+}
+
+/// Backend selection metadata for observability and callers that need accounting.
+#[derive(Debug, Clone)]
+pub struct ChatCompletionMetadata {
+    pub requested_model: String,
+    pub selected_backend: String,
+    pub mapped_model: String,
+    pub backend_kind: BackendKind,
+    pub provider_id: Option<String>,
+    pub api_format: OpenAIApiFormat,
+    pub used_responses_api: bool,
+}
diff --git a/crates/proxy/src/server/middleware/auth.rs b/crates/proxy/src/server/middleware/auth.rs
index 70a65cc..eff346a 100644
--- a/crates/proxy/src/server/middleware/auth.rs
+++ b/crates/proxy/src/server/middleware/auth.rs
@@ -509,78 +509,5 @@ pub async fn validate_auth(
 }
 
 #[cfg(test)]
-mod auth_mode_tests {
-    use super::*;
-
-    #[test]
-    fn parse_auth_mode_new_names() {
-        assert_eq!(AuthMode::from_env_str("oidc"), AuthMode::OidcOnly);
-        assert_eq!(AuthMode::from_env_str("oidc-only"), AuthMode::OidcOnly);
-        assert_eq!(AuthMode::from_env_str("oidc_only"), AuthMode::OidcOnly);
-        assert_eq!(AuthMode::from_env_str("keys"), AuthMode::KeysOnly);
-        assert_eq!(AuthMode::from_env_str("keys-only"), AuthMode::KeysOnly);
-        assert_eq!(AuthMode::from_env_str("keys_only"), AuthMode::KeysOnly);
-        assert_eq!(AuthMode::from_env_str("both"), AuthMode::Both);
-    }
-
-    #[test]
-    fn parse_auth_mode_legacy_names() {
-        assert_eq!(AuthMode::from_env_str("jwt_only"), AuthMode::OidcOnly);
-        assert_eq!(AuthMode::from_env_str("jwt_or_keys"), AuthMode::Both);
-        assert_eq!(AuthMode::from_env_str("JWT_ONLY"), AuthMode::OidcOnly);
-    }
-
-    #[test]
-    fn parse_auth_mode_unknown_defaults_to_both() {
-        assert_eq!(AuthMode::from_env_str("unknown"), AuthMode::Both);
-        assert_eq!(AuthMode::from_env_str(""), AuthMode::Both);
-    }
-
-    #[test]
-    fn auth_mode_oidc_only() {
-        assert!(AuthMode::OidcOnly.allows_oidc());
-        assert!(!AuthMode::OidcOnly.allows_key_auth());
-    }
-
-    #[test]
-    fn auth_mode_keys_only() {
-        assert!(AuthMode::KeysOnly.allows_key_auth());
-        assert!(!AuthMode::KeysOnly.allows_oidc());
-    }
-
-    #[test]
-    fn auth_mode_both_allows_all() {
-        assert!(AuthMode::Both.allows_oidc());
-        assert!(AuthMode::Both.allows_key_auth());
-    }
-
-    #[test]
-    fn auth_mode_from_env_defaults_to_both() {
-        let mode = AuthMode::from_env_str("unrecognized_value");
-        assert_eq!(mode, AuthMode::Both);
-    }
-
-    #[test]
-    fn forward_client_auth_rejects_multiple_static_keys_without_open_relay() {
-        assert!(forward_client_auth_misconfigured(2, false));
-    }
-
-    #[test]
-    fn forward_client_auth_allows_open_relay_even_with_multiple_keys() {
-        // Reflects that `open_relay_active()` can only be true when
-        // `distinct_static_key_count()` is 0 (see the OPEN_RELAY static) --
-        // this combination is unreachable via those two real accessors, but
-        // the pure decision function itself must still handle it sanely.
-        assert!(!forward_client_auth_misconfigured(2, true));
-    }
-
-    #[test]
-    fn forward_client_auth_allows_exactly_one_key() {
-        assert!(!forward_client_auth_misconfigured(1, false));
-    }
-
-    #[test]
-    fn forward_client_auth_allows_zero_keys() {
-        assert!(!forward_client_auth_misconfigured(0, false));
-    }
-}
+#[path = "auth/tests.rs"]
+mod tests;
diff --git a/crates/proxy/src/server/middleware/auth/tests.rs b/crates/proxy/src/server/middleware/auth/tests.rs
new file mode 100644
index 0000000..6ad9f34
--- /dev/null
+++ b/crates/proxy/src/server/middleware/auth/tests.rs
@@ -0,0 +1,73 @@
+use super::*;
+
+#[test]
+fn parse_auth_mode_new_names() {
+    assert_eq!(AuthMode::from_env_str("oidc"), AuthMode::OidcOnly);
+    assert_eq!(AuthMode::from_env_str("oidc-only"), AuthMode::OidcOnly);
+    assert_eq!(AuthMode::from_env_str("oidc_only"), AuthMode::OidcOnly);
+    assert_eq!(AuthMode::from_env_str("keys"), AuthMode::KeysOnly);
+    assert_eq!(AuthMode::from_env_str("keys-only"), AuthMode::KeysOnly);
+    assert_eq!(AuthMode::from_env_str("keys_only"), AuthMode::KeysOnly);
+    assert_eq!(AuthMode::from_env_str("both"), AuthMode::Both);
+}
+
+#[test]
+fn parse_auth_mode_legacy_names() {
+    assert_eq!(AuthMode::from_env_str("jwt_only"), AuthMode::OidcOnly);
+    assert_eq!(AuthMode::from_env_str("jwt_or_keys"), AuthMode::Both);
+    assert_eq!(AuthMode::from_env_str("JWT_ONLY"), AuthMode::OidcOnly);
+}
+
+#[test]
+fn parse_auth_mode_unknown_defaults_to_both() {
+    assert_eq!(AuthMode::from_env_str("unknown"), AuthMode::Both);
+    assert_eq!(AuthMode::from_env_str(""), AuthMode::Both);
+}
+
+#[test]
+fn auth_mode_oidc_only() {
+    assert!(AuthMode::OidcOnly.allows_oidc());
+    assert!(!AuthMode::OidcOnly.allows_key_auth());
+}
+
+#[test]
+fn auth_mode_keys_only() {
+    assert!(AuthMode::KeysOnly.allows_key_auth());
+    assert!(!AuthMode::KeysOnly.allows_oidc());
+}
+
+#[test]
+fn auth_mode_both_allows_all() {
+    assert!(AuthMode::Both.allows_oidc());
+    assert!(AuthMode::Both.allows_key_auth());
+}
+
+#[test]
+fn auth_mode_from_env_defaults_to_both() {
+    let mode = AuthMode::from_env_str("unrecognized_value");
+    assert_eq!(mode, AuthMode::Both);
+}
+
+#[test]
+fn forward_client_auth_rejects_multiple_static_keys_without_open_relay() {
+    assert!(forward_client_auth_misconfigured(2, false));
+}
+
+#[test]
+fn forward_client_auth_allows_open_relay_even_with_multiple_keys() {
+    // Reflects that `open_relay_active()` can only be true when
+    // `distinct_static_key_count()` is 0 (see the OPEN_RELAY static) --
+    // this combination is unreachable via those two real accessors, but
+    // the pure decision function itself must still handle it sanely.
+    assert!(!forward_client_auth_misconfigured(2, true));
+}
+
+#[test]
+fn forward_client_auth_allows_exactly_one_key() {
+    assert!(!forward_client_auth_misconfigured(1, false));
+}
+
+#[test]
+fn forward_client_auth_allows_zero_keys() {
+    assert!(!forward_client_auth_misconfigured(0, false));
+}
diff --git a/crates/proxy/src/server/passthrough/auth.rs b/crates/proxy/src/server/passthrough/auth.rs
new file mode 100644
index 0000000..9fb4063
--- /dev/null
+++ b/crates/proxy/src/server/passthrough/auth.rs
@@ -0,0 +1,207 @@
+use crate::server::middleware::ClientAuthPath;
+use axum::http::HeaderMap;
+
+/// Selects the exact incoming credential to forward upstream when
+/// `ANTHROPIC_FORWARD_CLIENT_AUTH` is enabled. Same precedence as
+/// `validate_auth` (`x-api-key` / `x-goog-api-key` win over `authorization`,
+/// see `server/middleware/auth.rs`'s `api_key = headers.get("x-api-key")
+/// .or_else(|| headers.get("x-goog-api-key"))`) so this always forwards the
+/// credential that actually gated the request into the proxy, never a
+/// second, unrelated header the client also happened to send.
+///
+/// `x-goog-api-key` (Gemini-CLI compatibility) is folded into the
+/// `x-api-key` slot rather than forwarded under its own name: Anthropic's API
+/// only recognizes `x-api-key`/`authorization`, so a client authenticated via
+/// `x-goog-api-key` must still have its value sent upstream as `x-api-key`,
+/// not as a header name Anthropic would silently ignore. Beyond that one
+/// rename, no shape detection/conversion happens -- forwarded byte-for-byte,
+/// unlike LiteLLM's `optionally_handle_anthropic_oauth()`, which mis-converts
+/// a Bearer token into `x-api-key`.
+fn select_client_auth_override(headers: &HeaderMap) -> Option<(&'static str, &str)> {
+    if let Some(v) = headers
+        .get("x-api-key")
+        .or_else(|| headers.get("x-goog-api-key"))
+        .and_then(|v| v.to_str().ok())
+    {
+        if !v.is_empty() {
+            return Some(("x-api-key", v));
+        }
+    }
+    if let Some(v) = headers.get("authorization").and_then(|v| v.to_str().ok()) {
+        if !v.is_empty() {
+            return Some(("authorization", v));
+        }
+    }
+    None
+}
+
+/// Only `StaticKey`/`OpenRelay` mean "the credential that gated this request
+/// IS the operator's own secret" (a single-key/BYOK deployment). A virtual
+/// key is deliberately not a real Anthropic credential and a JWT is a
+/// proxy-auth artifact, so those must never be forwarded upstream regardless
+/// of the `ANTHROPIC_FORWARD_CLIENT_AUTH` toggle.
+fn client_auth_forwardable(auth_path: Option<ClientAuthPath>) -> bool {
+    matches!(
+        auth_path,
+        Some(ClientAuthPath::StaticKey) | Some(ClientAuthPath::OpenRelay)
+    )
+}
+
+/// Resolves the client-credential override shared by both passthrough
+/// handlers. `vk_ctx`/`claims` are checked directly, not just via
+/// `client_auth_forwardable(auth_path)`: `ClientAuthPath` and
+/// `VirtualKeyContext`/`JwtClaims` are inserted as two independent
+/// `request.extensions_mut().insert()` calls in `validate_auth`, with
+/// nothing structurally coupling them, so a future edit to one of those
+/// branches could desync them without a compile error. Re-checking presence
+/// of the extension that actually gates virtual-key/OIDC requests fails
+/// closed instead of silently forwarding a non-operator credential if that
+/// ever happens.
+pub(crate) fn resolve_client_auth_override<'h>(
+    forward_client_auth: bool,
+    auth_path: Option<ClientAuthPath>,
+    vk_ctx: &Option<crate::server::middleware::VirtualKeyContext>,
+    claims: &Option<crate::server::oidc::JwtClaims>,
+    headers: &'h HeaderMap,
+) -> Option<(&'static str, &'h str)> {
+    if forward_client_auth
+        && client_auth_forwardable(auth_path)
+        && vk_ctx.is_none()
+        && claims.is_none()
+    {
+        select_client_auth_override(headers)
+    } else {
+        None
+    }
+}
+
+#[cfg(test)]
+mod tests {
+    use super::{
+        client_auth_forwardable, resolve_client_auth_override, select_client_auth_override,
+        ClientAuthPath,
+    };
+    use axum::http::HeaderMap;
+
+    fn headers(pairs: &[(&str, &str)]) -> HeaderMap {
+        let mut h = HeaderMap::new();
+        for (k, v) in pairs {
+            h.insert(
+                axum::http::HeaderName::from_bytes(k.as_bytes()).unwrap(),
+                v.parse().unwrap(),
+            );
+        }
+        h
+    }
+
+    #[test]
+    fn selects_x_api_key_when_only_that_is_sent() {
+        let h = headers(&[("x-api-key", "client-key")]);
+        assert_eq!(
+            select_client_auth_override(&h),
+            Some(("x-api-key", "client-key"))
+        );
+    }
+
+    #[test]
+    fn selects_authorization_when_only_that_is_sent() {
+        let h = headers(&[("authorization", "Bearer sk-ant-oat-abc")]);
+        assert_eq!(
+            select_client_auth_override(&h),
+            Some(("authorization", "Bearer sk-ant-oat-abc"))
+        );
+    }
+
+    #[test]
+    fn prefers_x_api_key_when_both_sent_matching_validate_auth_precedence() {
+        let h = headers(&[
+            ("x-api-key", "client-key"),
+            ("authorization", "Bearer sk-ant-oat-abc"),
+        ]);
+        assert_eq!(
+            select_client_auth_override(&h),
+            Some(("x-api-key", "client-key"))
+        );
+    }
+
+    #[test]
+    fn returns_none_when_neither_header_sent() {
+        let h = headers(&[]);
+        assert_eq!(select_client_auth_override(&h), None);
+    }
+
+    #[test]
+    fn selects_x_goog_api_key_forwarded_as_x_api_key() {
+        // validate_auth (server/middleware/auth.rs) treats x-goog-api-key as
+        // fully equivalent to x-api-key for authentication, but Anthropic's
+        // API only understands x-api-key -- the value must be forwarded
+        // under the x-api-key name, not the literal x-goog-api-key name.
+        let h = headers(&[("x-goog-api-key", "gemini-cli-key")]);
+        assert_eq!(
+            select_client_auth_override(&h),
+            Some(("x-api-key", "gemini-cli-key"))
+        );
+    }
+
+    #[test]
+    fn prefers_x_api_key_over_x_goog_api_key_matching_validate_auth_precedence() {
+        let h = headers(&[
+            ("x-api-key", "primary-key"),
+            ("x-goog-api-key", "secondary-key"),
+        ]);
+        assert_eq!(
+            select_client_auth_override(&h),
+            Some(("x-api-key", "primary-key"))
+        );
+    }
+
+    #[test]
+    fn client_auth_forwardable_only_for_static_key_and_open_relay() {
+        assert!(client_auth_forwardable(Some(ClientAuthPath::StaticKey)));
+        assert!(client_auth_forwardable(Some(ClientAuthPath::OpenRelay)));
+        assert!(!client_auth_forwardable(Some(ClientAuthPath::VirtualKey)));
+        assert!(!client_auth_forwardable(Some(ClientAuthPath::OidcJwt)));
+        assert!(!client_auth_forwardable(None));
+    }
+
+    #[test]
+    fn resolve_client_auth_override_forwards_on_static_key() {
+        let h = headers(&[("x-api-key", "client-key")]);
+        assert_eq!(
+            resolve_client_auth_override(true, Some(ClientAuthPath::StaticKey), &None, &None, &h),
+            Some(("x-api-key", "client-key"))
+        );
+    }
+
+    #[test]
+    fn resolve_client_auth_override_refuses_when_vk_ctx_present_even_if_auth_path_says_static_key()
+    {
+        // Regression guard for the ClientAuthPath/VirtualKeyContext desync
+        // risk: even if a future bug leaves auth_path reporting StaticKey
+        // while a VirtualKeyContext extension is also present, forwarding
+        // must still be refused.
+        let h = headers(&[("x-api-key", "client-key")]);
+        let vk_ctx = Some(crate::server::middleware::VirtualKeyContext {
+            key_id: 1,
+            #[cfg(feature = "redis")]
+            key_hash_hex: String::new(),
+            rate_state: std::sync::Arc::new(crate::admin::keys::RateLimitState::new()),
+            allowed_models: None,
+            allowed_routes: None,
+            period_reset: None,
+        });
+        assert_eq!(
+            resolve_client_auth_override(true, Some(ClientAuthPath::StaticKey), &vk_ctx, &None, &h),
+            None
+        );
+    }
+
+    #[test]
+    fn resolve_client_auth_override_refuses_when_feature_disabled() {
+        let h = headers(&[("x-api-key", "client-key")]);
+        assert_eq!(
+            resolve_client_auth_override(false, Some(ClientAuthPath::StaticKey), &None, &None, &h),
+            None
+        );
+    }
+}
diff --git a/crates/proxy/src/server/passthrough.rs b/crates/proxy/src/server/passthrough/handlers.rs
similarity index 76%
rename from crates/proxy/src/server/passthrough.rs
rename to crates/proxy/src/server/passthrough/handlers.rs
index 26157c1..a9f425f 100644
--- a/crates/proxy/src/server/passthrough.rs
+++ b/crates/proxy/src/server/passthrough/handlers.rs
@@ -1,12 +1,10 @@
-// Anthropic passthrough handler: forwards raw request bytes to the real Anthropic API.
-// No translation: the proxy receives Anthropic format and returns Anthropic format.
-
 use crate::backend::{BackendClient, MAX_SSE_BUFFER_SIZE};
 use crate::openai_tool_policy::{
     backend_kind_for_policy, validate_anthropic_tool_request, OpenAiToolPolicyContext,
 };
+use crate::server::middleware::ClientAuthPath;
 use crate::server::routes::{log_request, record_virtual_key_usage, RequestCtx};
-use crate::server::state::ConcurrencyPermit;
+use crate::server::state::{AppState, ConcurrencyPermit};
 use crate::server::streaming::{observe_anthropic_sse_frames, AnthropicStreamUsage, StreamOutcome};
 use anyllm_translate::{anthropic, mapping};
 use axum::{
@@ -20,89 +18,14 @@ use futures::StreamExt;
 use tokio::sync::mpsc;
 use tokio_stream::wrappers::ReceiverStream;
 
-use super::middleware::ClientAuthPath;
-use super::state::AppState;
-
-/// Selects the exact incoming credential to forward upstream when
-/// `ANTHROPIC_FORWARD_CLIENT_AUTH` is enabled. Same precedence as
-/// `validate_auth` (`x-api-key` / `x-goog-api-key` win over `authorization`,
-/// see `server/middleware/auth.rs`'s `api_key = headers.get("x-api-key")
-/// .or_else(|| headers.get("x-goog-api-key"))`) so this always forwards the
-/// credential that actually gated the request into the proxy, never a
-/// second, unrelated header the client also happened to send.
-///
-/// `x-goog-api-key` (Gemini-CLI compatibility) is folded into the
-/// `x-api-key` slot rather than forwarded under its own name: Anthropic's API
-/// only recognizes `x-api-key`/`authorization`, so a client authenticated via
-/// `x-goog-api-key` must still have its value sent upstream as `x-api-key`,
-/// not as a header name Anthropic would silently ignore. Beyond that one
-/// rename, no shape detection/conversion happens -- forwarded byte-for-byte,
-/// unlike LiteLLM's `optionally_handle_anthropic_oauth()`, which mis-converts
-/// a Bearer token into `x-api-key`.
-fn select_client_auth_override(headers: &axum::http::HeaderMap) -> Option<(&'static str, &str)> {
-    if let Some(v) = headers
-        .get("x-api-key")
-        .or_else(|| headers.get("x-goog-api-key"))
-        .and_then(|v| v.to_str().ok())
-    {
-        if !v.is_empty() {
-            return Some(("x-api-key", v));
-        }
-    }
-    if let Some(v) = headers.get("authorization").and_then(|v| v.to_str().ok()) {
-        if !v.is_empty() {
-            return Some(("authorization", v));
-        }
-    }
-    None
-}
-
-/// Only `StaticKey`/`OpenRelay` mean "the credential that gated this request
-/// IS the operator's own secret" (a single-key/BYOK deployment). A virtual
-/// key is deliberately not a real Anthropic credential and a JWT is a
-/// proxy-auth artifact, so those must never be forwarded upstream regardless
-/// of the `ANTHROPIC_FORWARD_CLIENT_AUTH` toggle.
-fn client_auth_forwardable(auth_path: Option<ClientAuthPath>) -> bool {
-    matches!(
-        auth_path,
-        Some(ClientAuthPath::StaticKey) | Some(ClientAuthPath::OpenRelay)
-    )
-}
-
-/// Resolves the client-credential override shared by both passthrough
-/// handlers. `vk_ctx`/`claims` are checked directly, not just via
-/// `client_auth_forwardable(auth_path)`: `ClientAuthPath` and
-/// `VirtualKeyContext`/`JwtClaims` are inserted as two independent
-/// `request.extensions_mut().insert()` calls in `validate_auth`, with
-/// nothing structurally coupling them, so a future edit to one of those
-/// branches could desync them without a compile error. Re-checking presence
-/// of the extension that actually gates virtual-key/OIDC requests fails
-/// closed instead of silently forwarding a non-operator credential if that
-/// ever happens.
-fn resolve_client_auth_override<'h>(
-    forward_client_auth: bool,
-    auth_path: Option<ClientAuthPath>,
-    vk_ctx: &Option<super::middleware::VirtualKeyContext>,
-    claims: &Option<crate::server::oidc::JwtClaims>,
-    headers: &'h axum::http::HeaderMap,
-) -> Option<(&'static str, &'h str)> {
-    if forward_client_auth
-        && client_auth_forwardable(auth_path)
-        && vk_ctx.is_none()
-        && claims.is_none()
-    {
-        select_client_auth_override(headers)
-    } else {
-        None
-    }
-}
+use super::auth::resolve_client_auth_override;
 
 /// Forward an Anthropic-format request byte-for-byte to the upstream Anthropic API.
 /// No translation is performed. Only active when `BACKEND=anthropic`.
 pub(crate) async fn anthropic_passthrough(
     State(state): State<AppState>,
     permit: Option<axum::Extension<ConcurrencyPermit>>,
-    vk_ctx: Option<axum::Extension<super::middleware::VirtualKeyContext>>,
+    vk_ctx: Option<axum::Extension<crate::server::middleware::VirtualKeyContext>>,
     auth_path: Option<axum::Extension<ClientAuthPath>>,
     claims: Option<axum::Extension<crate::server::oidc::JwtClaims>>,
     headers: axum::http::HeaderMap,
@@ -196,7 +119,7 @@ pub(crate) async fn anthropic_passthrough(
     if let Some(ref ctx) = vk_ctx {
         match &peek.model {
             Some(m) => {
-                if !super::policy::is_model_allowed(m, &ctx.allowed_models) {
+                if !crate::server::policy::is_model_allowed(m, &ctx.allowed_models) {
                     let err = mapping::errors_map::create_anthropic_error(
                         anthropic::ErrorType::PermissionError,
                         format!("Model '{}' is not allowed for this API key.", m),
@@ -303,7 +226,7 @@ pub(crate) async fn anthropic_passthrough(
         }
     }
 
-    let mut body = match super::secret_redaction::redact_body_with_content_type(
+    let mut body = match crate::server::secret_redaction::redact_body_with_content_type(
         state.redact_secrets(),
         Some("application/json"),
         body,
@@ -311,7 +234,7 @@ pub(crate) async fn anthropic_passthrough(
     .await
     {
         Ok(body) => body,
-        Err(err) => return super::secret_redaction::error_response(err),
+        Err(err) => return crate::server::secret_redaction::error_response(err),
     };
 
     // FFEC prompt compression runs FIRST: it compresses conversation history text
@@ -576,7 +499,7 @@ pub(crate) async fn anthropic_passthrough(
 #[allow(clippy::too_many_arguments)]
 pub(crate) async fn anthropic_generic_passthrough(
     State(state): State<AppState>,
-    vk_ctx: Option<axum::Extension<super::middleware::VirtualKeyContext>>,
+    vk_ctx: Option<axum::Extension<crate::server::middleware::VirtualKeyContext>>,
     auth_path: Option<axum::Extension<ClientAuthPath>>,
     claims: Option<axum::Extension<crate::server::oidc::JwtClaims>>,
     OriginalUri(uri): OriginalUri,
@@ -650,9 +573,11 @@ pub(crate) async fn anthropic_generic_passthrough(
     }
 
     let body =
-        match super::secret_redaction::redact_body(state.redact_secrets(), &headers, body).await {
+        match crate::server::secret_redaction::redact_body(state.redact_secrets(), &headers, body)
+            .await
+        {
             Ok(body) => body,
-            Err(err) => return super::secret_redaction::error_response(err),
+            Err(err) => return crate::server::secret_redaction::error_response(err),
         };
 
     match client
@@ -730,134 +655,3 @@ fn virtual_key_accounting_parse_error() -> Response {
     );
     (StatusCode::BAD_GATEWAY, Json(err)).into_response()
 }
-
-#[cfg(test)]
-mod tests {
-    use super::{
-        client_auth_forwardable, resolve_client_auth_override, select_client_auth_override,
-        ClientAuthPath,
-    };
-    use axum::http::HeaderMap;
-
-    fn headers(pairs: &[(&str, &str)]) -> HeaderMap {
-        let mut h = HeaderMap::new();
-        for (k, v) in pairs {
-            h.insert(
-                axum::http::HeaderName::from_bytes(k.as_bytes()).unwrap(),
-                v.parse().unwrap(),
-            );
-        }
-        h
-    }
-
-    #[test]
-    fn selects_x_api_key_when_only_that_is_sent() {
-        let h = headers(&[("x-api-key", "client-key")]);
-        assert_eq!(
-            select_client_auth_override(&h),
-            Some(("x-api-key", "client-key"))
-        );
-    }
-
-    #[test]
-    fn selects_authorization_when_only_that_is_sent() {
-        let h = headers(&[("authorization", "Bearer sk-ant-oat-abc")]);
-        assert_eq!(
-            select_client_auth_override(&h),
-            Some(("authorization", "Bearer sk-ant-oat-abc"))
-        );
-    }
-
-    #[test]
-    fn prefers_x_api_key_when_both_sent_matching_validate_auth_precedence() {
-        let h = headers(&[
-            ("x-api-key", "client-key"),
-            ("authorization", "Bearer sk-ant-oat-abc"),
-        ]);
-        assert_eq!(
-            select_client_auth_override(&h),
-            Some(("x-api-key", "client-key"))
-        );
-    }
-
-    #[test]
-    fn returns_none_when_neither_header_sent() {
-        let h = headers(&[]);
-        assert_eq!(select_client_auth_override(&h), None);
-    }
-
-    #[test]
-    fn selects_x_goog_api_key_forwarded_as_x_api_key() {
-        // validate_auth (server/middleware/auth.rs) treats x-goog-api-key as
-        // fully equivalent to x-api-key for authentication, but Anthropic's
-        // API only understands x-api-key -- the value must be forwarded
-        // under the x-api-key name, not the literal x-goog-api-key name.
-        let h = headers(&[("x-goog-api-key", "gemini-cli-key")]);
-        assert_eq!(
-            select_client_auth_override(&h),
-            Some(("x-api-key", "gemini-cli-key"))
-        );
-    }
-
-    #[test]
-    fn prefers_x_api_key_over_x_goog_api_key_matching_validate_auth_precedence() {
-        let h = headers(&[
-            ("x-api-key", "primary-key"),
-            ("x-goog-api-key", "secondary-key"),
-        ]);
-        assert_eq!(
-            select_client_auth_override(&h),
-            Some(("x-api-key", "primary-key"))
-        );
-    }
-
-    #[test]
-    fn client_auth_forwardable_only_for_static_key_and_open_relay() {
-        assert!(client_auth_forwardable(Some(ClientAuthPath::StaticKey)));
-        assert!(client_auth_forwardable(Some(ClientAuthPath::OpenRelay)));
-        assert!(!client_auth_forwardable(Some(ClientAuthPath::VirtualKey)));
-        assert!(!client_auth_forwardable(Some(ClientAuthPath::OidcJwt)));
-        assert!(!client_auth_forwardable(None));
-    }
-
-    #[test]
-    fn resolve_client_auth_override_forwards_on_static_key() {
-        let h = headers(&[("x-api-key", "client-key")]);
-        assert_eq!(
-            resolve_client_auth_override(true, Some(ClientAuthPath::StaticKey), &None, &None, &h),
-            Some(("x-api-key", "client-key"))
-        );
-    }
-
-    #[test]
-    fn resolve_client_auth_override_refuses_when_vk_ctx_present_even_if_auth_path_says_static_key()
-    {
-        // Regression guard for the ClientAuthPath/VirtualKeyContext desync
-        // risk: even if a future bug leaves auth_path reporting StaticKey
-        // while a VirtualKeyContext extension is also present, forwarding
-        // must still be refused.
-        let h = headers(&[("x-api-key", "client-key")]);
-        let vk_ctx = Some(crate::server::middleware::VirtualKeyContext {
-            key_id: 1,
-            #[cfg(feature = "redis")]
-            key_hash_hex: String::new(),
-            rate_state: std::sync::Arc::new(crate::admin::keys::RateLimitState::new()),
-            allowed_models: None,
-            allowed_routes: None,
-            period_reset: None,
-        });
-        assert_eq!(
-            resolve_client_auth_override(true, Some(ClientAuthPath::StaticKey), &vk_ctx, &None, &h),
-            None
-        );
-    }
-
-    #[test]
-    fn resolve_client_auth_override_refuses_when_feature_disabled() {
-        let h = headers(&[("x-api-key", "client-key")]);
-        assert_eq!(
-            resolve_client_auth_override(false, Some(ClientAuthPath::StaticKey), &None, &None, &h),
-            None
-        );
-    }
-}
diff --git a/crates/proxy/src/server/passthrough/mod.rs b/crates/proxy/src/server/passthrough/mod.rs
new file mode 100644
index 0000000..fd107b4
--- /dev/null
+++ b/crates/proxy/src/server/passthrough/mod.rs
@@ -0,0 +1,7 @@
+// Anthropic passthrough handlers module: forwards raw request bytes to the real Anthropic API.
+// No translation: the proxy receives Anthropic format and returns Anthropic format.
+
+pub(crate) mod auth;
+pub(crate) mod handlers;
+
+pub(crate) use handlers::{anthropic_generic_passthrough, anthropic_passthrough};
diff --git a/crates/proxy/src/server/state.rs b/crates/proxy/src/server/state.rs
deleted file mode 100644
index 6759459..0000000
--- a/crates/proxy/src/server/state.rs
+++ /dev/null
@@ -1,977 +0,0 @@
-// Shared state types for request handlers: AppState, AnthropicJson, ResolvedModel, etc.
-// Extracted from routes.rs so consumers can import state independently of the router setup.
-
-use crate::admin::state::{RuntimeConfig, SharedState};
-use crate::backend::BackendClient;
-use crate::metrics::Metrics;
-use anyllm_providers::ProviderCatalog;
-use anyllm_translate::{anthropic, mapping, openai};
-use axum::{
-    extract::{rejection::JsonRejection, FromRequest},
-    http::StatusCode,
-    response::{IntoResponse, Json, Response},
-};
-use std::collections::HashMap;
-use std::sync::{Arc, RwLock};
-use tokio::sync::Semaphore;
-
-/// Custom JSON extractor that returns Anthropic-shaped error responses on
-/// parse failure. Axum's built-in Json returns its own error format, which
-/// would break clients expecting Anthropic error shapes.
-pub(crate) struct AnthropicJson<T>(pub T);
-
-impl<S, T> FromRequest<S> for AnthropicJson<T>
-where
-    Json<T>: FromRequest<S, Rejection = JsonRejection>,
-    S: Send + Sync,
-{
-    type Rejection = Response;
-
-    async fn from_request(req: axum::extract::Request, state: &S) -> Result<Self, Self::Rejection> {
-        match Json::<T>::from_request(req, state).await {
-            Ok(Json(value)) => Ok(AnthropicJson(value)),
-            Err(rejection) => {
-                let err = mapping::errors_map::create_anthropic_error(
-                    anthropic::ErrorType::InvalidRequestError,
-                    rejection.body_text(),
-                    None,
-                );
-                Err((StatusCode::BAD_REQUEST, Json(err)).into_response())
-            }
-        }
-    }
-}
-
-/// Result of resolving a model name through the model router.
-pub(crate) enum ResolvedModel {
-    /// Routed via model_list to a specific backend and actual model name.
-    Routed {
-        backend_name: String,
-        model: String,
-        /// The deployment Arc for recording in-flight/latency stats.
-        deployment: Arc<crate::config::model_router::Deployment>,
-        /// Per-route option overrides when routed via a DB route; `None` when
-        /// routed via the LiteLLM model_router (inherit global config).
-        options: Option<Arc<crate::config::route_router::RouteOptions>>,
-    },
-    /// Model is known but all deployments are at their RPM limit.
-    AllAtLimit,
-    /// Model router is active but the model alias is not configured.
-    UnknownModel,
-    /// No model router, or model not in router. Used legacy ModelMapping.
-    Legacy(String),
-}
-
-/// Shared state for tool execution, stored in AppState.
-#[derive(Clone)]
-pub struct ToolEngineState {
-    pub registry: Arc<crate::tools::ToolRegistry>,
-    pub policy: Arc<crate::tools::ToolExecutionPolicy>,
-    pub loop_config: crate::tools::LoopConfig,
-    pub guardrails: crate::tools::ToolGuardrailConfig,
-    pub mcp_manager: Option<Arc<crate::tools::McpServerManager>>,
-}
-
-/// Per-backend state shared across request handlers.
-///
-/// In single-backend mode, one `AppState` serves all routes. In multi-backend mode,
-/// each backend gets its own `AppState` mounted under a prefix path (e.g., `/openai/v1/messages`).
-#[derive(Clone)]
-pub struct AppState {
-    pub backend: BackendClient,
-    pub metrics: Metrics,
-    /// Runtime config (model mappings, body logging, redaction) read on every request.
-    /// Shared with admin server so config changes take effect immediately.
-    pub runtime_config: Arc<RwLock<RuntimeConfig>>,
-    /// Shared admin state for request logging and live updates. None in tests.
-    pub shared: Option<SharedState>,
-    /// Per-route option overrides for the request that produced this (cloned)
-    /// state, set by `resolve_model_and_state` when a DB route was selected.
-    /// `None` means "no route override; use the global RuntimeConfig value".
-    /// Read by the option accessors (`redact_secrets`, `effective_tool_guardrails`,
-    /// `active_pxpipe`, `pxpipe_models`).
-    pub route_options: Option<Arc<crate::config::route_router::RouteOptions>>,
-    /// Backend name for logging purposes.
-    pub backend_name: String,
-    /// Canonical provider id used for provider/model policy decisions.
-    pub provider_id: Option<String>,
-    /// Concurrency limiter. Uses try_acquire (fail-fast) instead of queueing
-    /// to prevent cascading latency under load. Requests exceeding the limit
-    /// get 429 immediately, matching Anthropic's rate limiting behavior.
-    pub concurrency: Arc<Semaphore>,
-    /// Strip `stream_options` from streaming requests for local LLM compat.
-    pub omit_stream_options: bool,
-    /// Wall-clock cap for streaming responses in seconds. 0 = disabled.
-    /// Prevents resource exhaustion from stalled backends.
-    pub stream_timeout_secs: u64,
-    /// When true, set `x-anyllm-degradation` header on responses that silently drop features.
-    /// Mirrors Config::expose_degradation_warnings / MultiConfig::expose_degradation_warnings.
-    pub expose_degradation_warnings: bool,
-    /// Optional response cache for non-streaming requests.
-    pub cache: Option<Arc<crate::cache::memory::MemoryCache>>,
-    /// Anthropic thinking-block record-and-restore repair store. `None`
-    /// unless `backend` is `BackendClient::Anthropic`; only consulted by
-    /// `anthropic_passthrough`. Always `Some` for Anthropic backends
-    /// regardless of whether the feature is enabled -- use
-    /// `thinking_repair_enabled()` to check the live toggle before using it.
-    pub thinking_repair: Option<Arc<crate::thinking_repair::ThinkingRepairStore>>,
-    /// Text-to-image context compression engine (pxpipe). `None` unless
-    /// `backend` is `BackendClient::Anthropic`; only consulted by
-    /// `anthropic_passthrough`. Always `Some` for Anthropic backends regardless
-    /// of the live toggle -- use `active_pxpipe()`, which checks
-    /// `RuntimeConfig.pxpipe_compress`, before using it.
-    pub pxpipe: Option<Arc<crate::pxpipe::PxpipeEngine>>,
-    /// Command-aware tool-output compression engine (RTK). `Some` for Anthropic
-    /// and Translate modes; only consulted when `RuntimeConfig.rtk_compress` is
-    /// on -- use `rtk_engine_for(model)`.
-    pub rtk: Option<Arc<crate::rtk::RtkEngine>>,
-    /// FFEC prompt-compression engine (`OptimizerEngine`). `Some` for Anthropic
-    /// and Translate modes, mirroring `rtk`; baked with the static
-    /// `OPTIMIZER_MODE`-env default at startup -- use `effective_optimizer()`,
-    /// which applies the live `RouteOptions.optimizer_mode` override on top.
-    pub optimizer: Option<Arc<crate::optimizer::OptimizerEngine>>,
-    /// Model-level router for LiteLLM model_list configs. None for TOML/env configs.
-    /// Wrapped in RwLock for dynamic model management via admin API.
-    pub model_router: Option<Arc<RwLock<crate::config::model_router::ModelRouter>>>,
-    /// Immutable provider/model catalog used for runtime model metadata.
-    pub provider_catalog: Arc<ProviderCatalog>,
-    /// All backend states, for cross-backend model routing. None unless model_router is set.
-    pub all_backends: Option<Arc<HashMap<String, AppState>>>,
-    /// Tool execution engine state. None when tool execution is not configured.
-    pub tool_engine: Option<Arc<ToolEngineState>>,
-    /// Batch orchestration engine. None in test configs that don't need batch.
-    pub batch_engine: Option<
-        Arc<
-            anyllm_batch_engine::BatchEngine<
-                anyllm_batch_engine::queue::sqlite::SqliteQueue,
-                anyllm_batch_engine::webhook::sqlite::SqliteWebhookQueue,
-            >,
-        >,
-    >,
-}
-
-impl AppState {
-    /// Map a model name through the current runtime config for this backend.
-    pub(crate) fn map_model(&self, model: &str) -> String {
-        let config = self
-            .runtime_config
-            .read()
-            .unwrap_or_else(|e| e.into_inner());
-        if let Some(mapping) = config.model_mappings.get(&self.backend_name) {
-            mapping.map_model(model)
-        } else {
-            model.to_string()
-        }
-    }
-
-    /// Resolve a model name to a backend.
-    ///
-    /// Precedence: (1) admin-DB routes (`RouteRouter`), (2) LiteLLM model_router,
-    /// (3) legacy ModelMapping. An empty route router falls straight through so
-    /// installs without routes behave exactly as before.
-    pub(crate) fn resolve_model(&self, model: &str) -> ResolvedModel {
-        if let Some(shared) = self.shared.as_ref() {
-            if let Some(ref rr_lock) = shared.route_router {
-                use crate::config::route_router::RouteResolution;
-                let rr = rr_lock.read().unwrap_or_else(|e| e.into_inner());
-                if !rr.is_empty() {
-                    match rr.resolve(model) {
-                        RouteResolution::Routed(res) => {
-                            return ResolvedModel::Routed {
-                                backend_name: res.backend_name,
-                                model: res.model,
-                                deployment: res.deployment,
-                                options: Some(res.options),
-                            };
-                        }
-                        RouteResolution::AllAtLimit => return ResolvedModel::AllAtLimit,
-                        // No route serves this model: fall through to the layers below.
-                        RouteResolution::NoRoute => {}
-                    }
-                }
-            }
-        }
-        if let Some(ref router_lock) = self.model_router {
-            let router = router_lock.read().unwrap_or_else(|e| e.into_inner());
-            if let Some(routed) = router.route(model) {
-                return ResolvedModel::Routed {
-                    backend_name: routed.backend_name.to_string(),
-                    model: routed.actual_model.to_string(),
-                    deployment: routed.deployment.clone(),
-                    options: None,
-                };
-            }
-            if router.has_model(model) {
-                return ResolvedModel::AllAtLimit;
-            }
-            return ResolvedModel::UnknownModel;
-        }
-        ResolvedModel::Legacy(self.map_model(model))
-    }
-
-    /// Resolve model and return (mapped_model, effective AppState, optional deployment).
-    /// If the model routes to a different backend, the returned state is cloned from
-    /// all_backends. Returns Err with a 429 response if all deployments are at limit.
-    /// The deployment Arc is returned so handlers can call record_start/record_finish.
-    #[allow(clippy::result_large_err)]
-    pub(crate) fn resolve_model_and_state(
-        &self,
-        model: &str,
-    ) -> Result<
-        (
-            String,
-            AppState,
-            Option<Arc<crate::config::model_router::Deployment>>,
-        ),
-        Response,
-    > {
-        match self.resolve_model(model) {
-            ResolvedModel::Routed {
-                backend_name,
-                model: mapped,
-                deployment,
-                options,
-            } => {
-                let mut effective = self
-                    .all_backends
-                    .as_ref()
-                    .and_then(|m| m.get(&backend_name))
-                    .cloned()
-                    .or_else(|| {
-                        // Check managed backends (SQLite-backed, zero-restart)
-                        self.shared.as_ref().and_then(|s| {
-                            let guard = s.managed_backends
-                                .read()
-                                .ok()
-                                .or_else(|| {
-                                    tracing::warn!("managed_backends RwLock is poisoned; skipping managed backend lookup");
-                                    None
-                                })?;
-                            guard.get(&backend_name).map(|(row, client)| {
-                                let mut state = self.clone();
-                                state.backend = client.clone();
-                                state.backend_name = backend_name.clone();
-                                state.provider_id = Some(row.provider_id.clone());
-                                state
-                            })
-                        })
-                    })
-                    .unwrap_or_else(|| self.clone());
-                // Carry the per-route option overrides onto the effective state so
-                // the option accessors resolve route-first, global-fallback.
-                effective.route_options = options;
-                Ok((mapped, effective, Some(deployment)))
-            }
-            ResolvedModel::AllAtLimit => {
-                let err = mapping::errors_map::create_anthropic_error(
-                    anthropic::ErrorType::RateLimitError,
-                    "all deployments for this model are at their RPM limit".to_string(),
-                    None,
-                );
-                Err((StatusCode::TOO_MANY_REQUESTS, Json(err)).into_response())
-            }
-            ResolvedModel::UnknownModel => {
-                let err = mapping::errors_map::create_anthropic_error(
-                    anthropic::ErrorType::InvalidRequestError,
-                    format!("model '{model}' is not configured in model_list"),
-                    None,
-                );
-                Err((StatusCode::BAD_REQUEST, Json(err)).into_response())
-            }
-            ResolvedModel::Legacy(mapped) => Ok((mapped, self.clone(), None)),
-        }
-    }
-
-    /// Whether request/response body logging is enabled.
-    pub(crate) fn log_bodies(&self) -> bool {
-        self.runtime_config
-            .read()
-            .unwrap_or_else(|e| e.into_inner())
-            .log_bodies
-    }
-
-    /// Whether upstream JSON/text request payloads should be redacted.
-    /// Route override (if set) wins over the global RuntimeConfig value.
-    pub(crate) fn redact_secrets(&self) -> bool {
-        if let Some(v) = self.route_options.as_ref().and_then(|o| o.redact_secrets) {
-            return v;
-        }
-        self.runtime_config
-            .read()
-            .unwrap_or_else(|e| e.into_inner())
-            .redact_secrets
-    }
-
-    /// Effective tool-call guardrail config for this request: the runtime,
-    /// admin-tunable override (`RuntimeConfig.tool_guardrail_mode`, no
-    /// restart required) applied on top of `engine.guardrails` (the static
-    /// preset built from YAML/env at startup). See
-    /// `crate::tools::resolve_runtime_guardrails`.
-    pub(crate) fn effective_tool_guardrails(
-        &self,
-        engine: &ToolEngineState,
-    ) -> crate::tools::ToolGuardrailConfig {
-        // Route override (if set) wins over the live global RuntimeConfig mode.
-        if let Some(mode) = self
-            .route_options
-            .as_ref()
-            .and_then(|o| o.guardrail_mode.as_deref())
-        {
-            return crate::tools::resolve_runtime_guardrails(&engine.guardrails, mode);
-        }
-        crate::tools::resolve_runtime_guardrails_locked(&self.runtime_config, &engine.guardrails)
-    }
-
-    /// Whether Anthropic thinking-block repair (record + restore) is active.
-    /// `self.thinking_repair` may be `Some` even when this is `false` -- the
-    /// store is always constructed for Anthropic backends; only this flag
-    /// gates whether it's actually used.
-    pub(crate) fn thinking_repair_enabled(&self) -> bool {
-        self.runtime_config
-            .read()
-            .unwrap_or_else(|e| e.into_inner())
-            .anthropic_thinking_repair
-    }
-
-    /// Whether Anthropic passthrough forwards the client's own incoming
-    /// credential upstream instead of the operator's (`ANTHROPIC_FORWARD_CLIENT_AUTH`,
-    /// live-toggleable via `RuntimeConfig.forward_client_auth`). Read fresh on
-    /// every request -- unlike the old frozen `AppState` field this replaced,
-    /// this reflects an admin-UI change immediately without a restart, and
-    /// applies uniformly to every `BackendKind::Anthropic` backend since they
-    /// all share one `RuntimeConfig`.
-    pub(crate) fn forward_client_auth_enabled(&self) -> bool {
-        self.runtime_config
-            .read()
-            .unwrap_or_else(|e| e.into_inner())
-            .forward_client_auth
-    }
-
-    /// The thinking-repair store, but only when the live admin-toggleable
-    /// flag is actually on. `None` both when repair is entirely absent (non-
-    /// Anthropic backend) and when it's present-but-disabled -- single
-    /// accessor so call sites collapse to `if let Some(store) = ...` instead
-    /// of separately checking `thinking_repair_enabled()` and
-    /// `thinking_repair.is_some()`.
-    pub(crate) fn active_thinking_repair(
-        &self,
-    ) -> Option<Arc<crate::thinking_repair::ThinkingRepairStore>> {
-        if self.thinking_repair_enabled() {
-            self.thinking_repair.clone()
-        } else {
-            None
-        }
-    }
-
-    /// The pxpipe compression engine, but only when the live admin-toggleable
-    /// flag (`RuntimeConfig.pxpipe_compress`) is on. `None` both when the engine
-    /// is absent (non-Anthropic backend) and when present-but-disabled.
-    pub(crate) fn active_pxpipe(&self) -> Option<Arc<crate::pxpipe::PxpipeEngine>> {
-        let enabled = match self.route_options.as_ref().and_then(|o| o.pxpipe_compress) {
-            Some(v) => v,
-            None => {
-                self.runtime_config
-                    .read()
-                    .unwrap_or_else(|e| e.into_inner())
-                    .pxpipe_compress
-            }
-        };
-        if enabled {
-            self.pxpipe.clone()
-        } else {
-            None
-        }
-    }
-
-    /// Live model-scope CSV for pxpipe. Route override wins over the global
-    /// `RuntimeConfig.pxpipe_models` value.
-    pub(crate) fn pxpipe_models(&self) -> String {
-        if let Some(csv) = self
-            .route_options
-            .as_ref()
-            .and_then(|o| o.pxpipe_models.clone())
-        {
-            return csv;
-        }
-        self.runtime_config
-            .read()
-            .unwrap_or_else(|e| e.into_inner())
-            .pxpipe_models
-            .clone()
-    }
-
-    /// Vision gate: if the catalog knows this model and says it is NOT
-    /// vision-capable, refuse (fail-closed). Unknown models fall back to the
-    /// scope list only — a Claude passthrough model is vision-capable in
-    /// practice, and the scope list is the operator's explicit control.
-    fn pxpipe_vision_ok(&self, model: &str) -> bool {
-        match self
-            .provider_id
-            .as_deref()
-            .and_then(|pid| self.provider_catalog.get_model(pid, model))
-        {
-            Some(def) => def.capabilities.vision,
-            None => true,
-        }
-    }
-
-    /// The pxpipe engine for `model`, or `None` if compression shouldn't run:
-    /// the master toggle is off, the engine is absent (non-Anthropic backend),
-    /// the model is out of the live scope CSV, or it isn't vision-capable.
-    /// Single accessor so `passthrough` collapses to
-    /// `if let Some(engine) = state.pxpipe_engine_for(model)`.
-    pub(crate) fn pxpipe_engine_for(
-        &self,
-        model: &str,
-    ) -> Option<Arc<crate::pxpipe::PxpipeEngine>> {
-        let engine = self.active_pxpipe()?;
-        if crate::pxpipe::model_in_scope(model, &self.pxpipe_models())
-            && self.pxpipe_vision_ok(model)
-        {
-            Some(engine)
-        } else {
-            None
-        }
-    }
-
-    /// The RTK engine for `model`, or `None` if compression shouldn't run: the
-    /// toggle is off, the engine is absent, or the model is out of scope. RTK is
-    /// not vision-gated, so there is no capability check.
-    ///
-    /// Reads the toggle and scope from a single RwLock critical section for
-    /// consistency, and checks `route_options` first (matching the pxpipe pattern)
-    /// so per-route overrides take precedence over the global RuntimeConfig.
-    pub(crate) fn rtk_engine_for(&self, model: &str) -> Option<Arc<crate::rtk::RtkEngine>> {
-        let cfg = self
-            .runtime_config
-            .read()
-            .unwrap_or_else(|e| e.into_inner());
-        let enabled = self
-            .route_options
-            .as_ref()
-            .and_then(|o| o.rtk_compress)
-            .unwrap_or(cfg.rtk_compress);
-        if !enabled {
-            return None;
-        }
-        let engine = self.rtk.clone()?;
-        let models_csv = self
-            .route_options
-            .as_ref()
-            .and_then(|o| o.rtk_models.as_deref())
-            .unwrap_or(&cfg.rtk_models);
-        if crate::rtk::model_in_scope(model, models_csv) {
-            Some(engine)
-        } else {
-            None
-        }
-    }
-
-    /// Effective FFEC prompt-compression engine for this request, or `None`
-    /// when optimization is unconfigured for this backend/mode (`self.optimizer`
-    /// is `None`). Precedence, mirroring `effective_tool_guardrails` /
-    /// `resolve_runtime_guardrails_locked`: (1) route override
-    /// (`RouteOptions.optimizer_mode`, if set) wins outright; (2) otherwise the
-    /// live `RuntimeConfig.optimizer_mode` admin toggle (no restart required);
-    /// (3) otherwise the static per-process engine baked with the
-    /// `OPTIMIZER_MODE`-env default at startup.
-    pub(crate) fn effective_optimizer(&self) -> Option<Arc<crate::optimizer::OptimizerEngine>> {
-        let engine = self.optimizer.as_ref()?;
-        if let Some(mode_str) = self
-            .route_options
-            .as_ref()
-            .and_then(|o| o.optimizer_mode.as_deref())
-        {
-            return Some(Arc::new(engine.with_mode_override(mode_str)));
-        }
-        Some(Arc::new(
-            crate::optimizer::resolve_runtime_optimizer_locked(&self.runtime_config, engine),
-        ))
-    }
-
-    /// Apply RTK tool-output compression to an OpenAI-format request and record
-    /// metrics. Shared helper used by both the /v1/chat/completions and /v1/messages
-    /// translate paths (streaming and non-streaming). No-op when the engine is
-    /// unavailable, disabled, or no tool messages are present.
-    pub(crate) fn apply_rtk_to_openai(&self, req: &mut openai::ChatCompletionRequest, model: &str) {
-        let engine = match self.rtk_engine_for(model) {
-            Some(e) => e,
-            None => return,
-        };
-        // Pre-check: only serialize when there are tool messages to compress.
-        if !req
-            .messages
-            .iter()
-            .any(|m| m.role == openai::ChatRole::Tool)
-        {
-            return;
-        }
-        let mut v = match serde_json::to_value(&*req) {
-            Ok(v) => v,
-            Err(_) => return,
-        };
-        let Some((blocks, saved)) = engine.compress_openai_chat(&mut v) else {
-            return;
-        };
-        match serde_json::from_value::<openai::ChatCompletionRequest>(v) {
-            Ok(patched) => {
-                *req = patched;
-                self.metrics.record_rtk_compression(blocks, saved);
-                tracing::info!(
-                    model,
-                    blocks,
-                    chars_saved = saved,
-                    "rtk: compressed OpenAI request"
-                );
-            }
-            Err(e) => tracing::warn!(
-                error = %e,
-                "rtk: failed to re-deserialize compressed OpenAI request; forwarding original"
-            ),
-        }
-    }
-
-    /// Apply FFEC prompt compression (`effective_optimizer()`) to an OpenAI-format
-    /// request at the parsed-body seam. Client-sent history only -- callers must
-    /// never invoke this on proxy-appended tool-loop turns (see
-    /// `crates/optimizer/CLAUDE.md` "Streaming & tool-loop decision"). `Shadow`
-    /// mode logs the `OptimizationReport` and leaves `req` unchanged; `Live` mode
-    /// applies the rendered body in place. No-op when optimization is
-    /// unconfigured or resolves to `Mode::Off` for this request.
-    pub(crate) fn apply_optimizer_to_openai(
-        &self,
-        req: &mut openai::ChatCompletionRequest,
-        route: &str,
-    ) {
-        let Some(engine) = self.effective_optimizer() else {
-            return;
-        };
-        let mut v = match serde_json::to_value(&*req) {
-            Ok(v) => v,
-            Err(_) => return,
-        };
-        let report = engine.optimize_openai(&mut v, route);
-        if report.mode == anyllm_optimize_core::Mode::Shadow {
-            tracing::info!(
-                route,
-                removed_tokens_est = report.removed_tokens_est,
-                messages_compressed = report.messages_compressed,
-                failure = report.failure.as_deref().unwrap_or(""),
-                "optimizer: shadow report (not applied)"
-            );
-        }
-        if !report.applied {
-            return;
-        }
-        match serde_json::from_value::<openai::ChatCompletionRequest>(v) {
-            Ok(patched) => {
-                *req = patched;
-                self.metrics.record_optimization(
-                    report.messages_compressed as u64,
-                    report.removed_tokens_est,
-                );
-                tracing::info!(
-                    route,
-                    removed_tokens_est = report.removed_tokens_est,
-                    messages_compressed = report.messages_compressed,
-                    "optimizer: compressed OpenAI request"
-                );
-            }
-            Err(e) => tracing::warn!(
-                error = %e,
-                "optimizer: failed to re-deserialize compressed OpenAI request; forwarding original"
-            ),
-        }
-    }
-
-    /// Apply FFEC prompt compression (`effective_optimizer()`) to an Anthropic
-    /// Messages request at the parsed-body seam. Same contract as
-    /// [`Self::apply_optimizer_to_openai`]: client-sent history only, fails open,
-    /// `Shadow` never mutates `req`.
-    pub(crate) fn apply_optimizer_to_anthropic(
-        &self,
-        req: &mut anthropic::MessageCreateRequest,
-        route: &str,
-    ) {
-        let Some(engine) = self.effective_optimizer() else {
-            return;
-        };
-        let mut v = match serde_json::to_value(&*req) {
-            Ok(v) => v,
-            Err(_) => return,
-        };
-        let report = engine.optimize_anthropic(&mut v, route);
-        if report.mode == anyllm_optimize_core::Mode::Shadow {
-            tracing::info!(
-                route,
-                removed_tokens_est = report.removed_tokens_est,
-                messages_compressed = report.messages_compressed,
-                failure = report.failure.as_deref().unwrap_or(""),
-                "optimizer: shadow report (not applied)"
-            );
-        }
-        if !report.applied {
-            return;
-        }
-        match serde_json::from_value::<anthropic::MessageCreateRequest>(v) {
-            Ok(patched) => {
-                *req = patched;
-                self.metrics.record_optimization(
-                    report.messages_compressed as u64,
-                    report.removed_tokens_est,
-                );
-                tracing::info!(
-                    route,
-                    removed_tokens_est = report.removed_tokens_est,
-                    messages_compressed = report.messages_compressed,
-                    "optimizer: compressed Anthropic request"
-                );
-            }
-            Err(e) => tracing::warn!(
-                error = %e,
-                "optimizer: failed to re-deserialize compressed Anthropic request; forwarding original"
-            ),
-        }
-    }
-}
-
-#[cfg(test)]
-mod optimizer_seam_tests {
-    use super::*;
-    use crate::config::{
-        BackendAuth, BackendKind, Config, ModelMapping, OpenAIApiFormat, TlsConfig,
-    };
-    use anyllm_optimize_core::Mode;
-
-    /// Long enough that FFEC's min-length gate actually has something to compress.
-    fn long_text() -> String {
-        "The quick brown fox jumps over the lazy dog again and again across the wide \
-         green field toward the distant blue mountains far beyond the winding river."
-            .repeat(4)
-    }
-
-    fn minimal_state(optimizer_mode: Mode) -> AppState {
-        let config = Config {
-            backend: BackendKind::OpenAI,
-            openai_api_key: "test".into(),
-            openai_base_url: "https://api.openai.com".into(),
-            listen_port: 3000,
-            model_mapping: ModelMapping {
-                big_model: "gpt-4o".into(),
-                small_model: "gpt-4o-mini".into(),
-            },
-            tls: TlsConfig::default(),
-            backend_auth: BackendAuth::BearerToken("test".into()),
-            log_bodies: false,
-            redact_secrets: false,
-            anthropic_thinking_repair: false,
-            pxpipe_compress: false,
-            expose_degradation_warnings: false,
-            openai_api_format: OpenAIApiFormat::Chat,
-            provider_id: None,
-        };
-        let backend = crate::backend::BackendClient::OpenAI(
-            crate::backend::openai_client::OpenAIClient::new(&config),
-        );
-        let runtime_config = Arc::new(RwLock::new(RuntimeConfig {
-            model_mappings: indexmap::IndexMap::new(),
-            log_level: "info".to_string(),
-            log_bodies: false,
-            redact_secrets: false,
-            anthropic_thinking_repair: false,
-            pxpipe_compress: false,
-            pxpipe_models: String::new(),
-            rtk_compress: false,
-            rtk_models: String::new(),
-            forward_client_auth: false,
-            tool_guardrail_mode: "disabled".to_string(),
-            optimizer_mode: optimizer_mode.as_str().to_string(),
-        }));
-        AppState {
-            backend,
-            metrics: Metrics::new(),
-            runtime_config,
-            shared: None,
-            route_options: None,
-            backend_name: "openai".to_string(),
-            provider_id: None,
-            concurrency: Arc::new(Semaphore::new(64)),
-            omit_stream_options: false,
-            stream_timeout_secs: 0,
-            expose_degradation_warnings: false,
-            cache: None,
-            thinking_repair: None,
-            pxpipe: None,
-            rtk: None,
-            optimizer: Some(Arc::new(crate::optimizer::OptimizerEngine::new(
-                optimizer_mode,
-            ))),
-            model_router: None,
-            provider_catalog: Arc::new(ProviderCatalog::bundled()),
-            all_backends: None,
-            tool_engine: None,
-            batch_engine: None,
-        }
-    }
-
-    fn long_openai_request() -> openai::ChatCompletionRequest {
-        let long = long_text();
-        let mut body = serde_json::json!({
-            "model": "gpt-4o",
-            "messages": [{"role": "system", "content": "you are helpful"}],
-        });
-        let msgs = body["messages"].as_array_mut().unwrap();
-        for _ in 0..16 {
-            msgs.push(serde_json::json!({"role": "user", "content": long}));
-            msgs.push(serde_json::json!({"role": "assistant", "content": long}));
-        }
-        msgs.push(serde_json::json!({"role": "user", "content": "what is the latest?"}));
-        serde_json::from_value(body).expect("valid ChatCompletionRequest")
-    }
-
-    fn long_anthropic_request() -> anthropic::MessageCreateRequest {
-        let long = long_text();
-        let mut body = serde_json::json!({
-            "model": "claude-sonnet-5",
-            "max_tokens": 1024,
-            "messages": [],
-        });
-        let msgs = body["messages"].as_array_mut().unwrap();
-        for _ in 0..16 {
-            msgs.push(serde_json::json!({"role": "user", "content": long}));
-            msgs.push(serde_json::json!({"role": "assistant", "content": long}));
-        }
-        msgs.push(serde_json::json!({"role": "user", "content": "what is the latest?"}));
-        serde_json::from_value(body).expect("valid MessageCreateRequest")
-    }
-
-    #[test]
-    fn shadow_mode_forwards_openai_body_unchanged() {
-        let state = minimal_state(Mode::Shadow);
-        let mut req = long_openai_request();
-        let before = serde_json::to_value(&req).unwrap();
-        state.apply_optimizer_to_openai(&mut req, "chat_completions");
-        let after = serde_json::to_value(&req).unwrap();
-        assert_eq!(before, after, "shadow mode must forward the original body");
-        assert_eq!(
-            state.metrics.snapshot().optimizer_compressed_total,
-            0,
-            "shadow mode must never record a metrics-visible compression"
-        );
-    }
-
-    #[test]
-    fn shadow_mode_forwards_anthropic_body_unchanged() {
-        let state = minimal_state(Mode::Shadow);
-        let mut req = long_anthropic_request();
-        let before = serde_json::to_value(&req).unwrap();
-        state.apply_optimizer_to_anthropic(&mut req, "messages");
-        let after = serde_json::to_value(&req).unwrap();
-        assert_eq!(before, after, "shadow mode must forward the original body");
-    }
-
-    #[test]
-    fn live_mode_compresses_openai_history_and_preserves_latest() {
-        let state = minimal_state(Mode::Live);
-        let mut req = long_openai_request();
-        let before = serde_json::to_value(&req).unwrap();
-        state.apply_optimizer_to_openai(&mut req, "chat_completions");
-        let after = serde_json::to_value(&req).unwrap();
-        assert_eq!(
-            before["messages"].as_array().unwrap().last(),
-            after["messages"].as_array().unwrap().last(),
-            "the latest turn must never be rewritten"
-        );
-        assert_eq!(
-            state.metrics.snapshot().optimizer_compressed_total,
-            1,
-            "an applied Live compression must be recorded in metrics"
-        );
-    }
-
-    #[test]
-    fn live_mode_compresses_anthropic_history_and_preserves_latest() {
-        let state = minimal_state(Mode::Live);
-        let mut req = long_anthropic_request();
-        let before = serde_json::to_value(&req).unwrap();
-        state.apply_optimizer_to_anthropic(&mut req, "messages");
-        let after = serde_json::to_value(&req).unwrap();
-        assert_eq!(
-            before["messages"].as_array().unwrap().last(),
-            after["messages"].as_array().unwrap().last(),
-            "the latest turn must never be rewritten"
-        );
-    }
-
-    #[test]
-    fn off_mode_is_noop_and_engine_absent_is_noop() {
-        // Off mode: engine present, mode Off -> never applied.
-        let state = minimal_state(Mode::Off);
-        let mut req = long_openai_request();
-        let before = serde_json::to_value(&req).unwrap();
-        state.apply_optimizer_to_openai(&mut req, "chat_completions");
-        assert_eq!(before, serde_json::to_value(&req).unwrap());
-
-        // No engine at all (e.g. non-Anthropic/Translate mode backend): no panic, no-op.
-        let mut state_no_engine = minimal_state(Mode::Live);
-        state_no_engine.optimizer = None;
-        let mut req2 = long_openai_request();
-        let before2 = serde_json::to_value(&req2).unwrap();
-        state_no_engine.apply_optimizer_to_openai(&mut req2, "chat_completions");
-        assert_eq!(before2, serde_json::to_value(&req2).unwrap());
-    }
-
-    #[test]
-    fn short_history_below_min_len_gate_is_a_noop_not_a_panic() {
-        // A short request has nothing worth compressing (below FFEC's min-length
-        // gate) -- the seam must still round-trip cleanly without panicking or
-        // corrupting the body, i.e. it fails open when there's nothing to do.
-        let state = minimal_state(Mode::Live);
-        let mut req: openai::ChatCompletionRequest = serde_json::from_value(serde_json::json!({
-            "model": "gpt-4o",
-            "messages": [{"role": "user", "content": "hi"}],
-        }))
-        .unwrap();
-        let before = serde_json::to_value(&req).unwrap();
-        state.apply_optimizer_to_openai(&mut req, "chat_completions");
-        assert_eq!(before, serde_json::to_value(&req).unwrap());
-    }
-}
-
-#[cfg(test)]
-mod rtk_seam_tests {
-    use super::*;
-
-    /// Build a minimal `AppState` with the RTK engine present and the runtime
-    /// `rtk_compress` toggle set to `enabled` (scope left empty = all models).
-    fn state_with_rtk(enabled: bool) -> AppState {
-        use crate::config::{
-            BackendAuth, BackendKind, Config, ModelMapping, OpenAIApiFormat, TlsConfig,
-        };
-        let config = Config {
-            backend: BackendKind::OpenAI,
-            openai_api_key: "test".into(),
-            openai_base_url: "https://api.openai.com".into(),
-            listen_port: 3000,
-            model_mapping: ModelMapping {
-                big_model: "gpt-4o".into(),
-                small_model: "gpt-4o-mini".into(),
-            },
-            tls: TlsConfig::default(),
-            backend_auth: BackendAuth::BearerToken("test".into()),
-            log_bodies: false,
-            redact_secrets: false,
-            anthropic_thinking_repair: false,
-            pxpipe_compress: false,
-            expose_degradation_warnings: false,
-            openai_api_format: OpenAIApiFormat::Chat,
-            provider_id: None,
-        };
-        let backend = crate::backend::BackendClient::OpenAI(
-            crate::backend::openai_client::OpenAIClient::new(&config),
-        );
-        let runtime_config = Arc::new(RwLock::new(RuntimeConfig {
-            model_mappings: indexmap::IndexMap::new(),
-            log_level: "info".to_string(),
-            log_bodies: false,
-            redact_secrets: false,
-            anthropic_thinking_repair: false,
-            pxpipe_compress: false,
-            pxpipe_models: String::new(),
-            rtk_compress: enabled,
-            rtk_models: String::new(),
-            forward_client_auth: false,
-            tool_guardrail_mode: "disabled".to_string(),
-            optimizer_mode: "off".to_string(),
-        }));
-        AppState {
-            backend,
-            metrics: Metrics::new(),
-            runtime_config,
-            shared: None,
-            route_options: None,
-            backend_name: "openai".to_string(),
-            provider_id: None,
-            concurrency: Arc::new(Semaphore::new(64)),
-            omit_stream_options: false,
-            stream_timeout_secs: 0,
-            expose_degradation_warnings: false,
-            cache: None,
-            thinking_repair: None,
-            pxpipe: None,
-            rtk: Some(Arc::new(crate::rtk::RtkEngine::new())),
-            optimizer: None,
-            model_router: None,
-            provider_catalog: Arc::new(ProviderCatalog::bundled()),
-            all_backends: None,
-            tool_engine: None,
-            batch_engine: None,
-        }
-    }
-
-    /// An OpenAI request whose `role: tool` message carries compressible git noise.
-    fn request_with_noisy_tool_output() -> openai::ChatCompletionRequest {
-        let mut noise = String::from("On branch main\nChanges not staged for commit:\n");
-        for i in 0..200 {
-            noise.push_str(&format!("  (use \"git add ...\" file {i})\n"));
-        }
-        serde_json::from_value(serde_json::json!({
-            "model": "gpt-4o",
-            "messages": [
-                {"role": "user", "content": "run git status"},
-                {"role": "assistant", "content": null, "tool_calls": [
-                    {"id": "t1", "type": "function",
-                     "function": {"name": "bash", "arguments": "{\"cmd\":\"git status\"}"}}
-                ]},
-                {"role": "tool", "tool_call_id": "t1", "content": noise},
-            ],
-        }))
-        .expect("valid ChatCompletionRequest")
-    }
-
-    #[test]
-    fn enabled_compresses_tool_output_and_records_metrics() {
-        let state = state_with_rtk(true);
-        let mut req = request_with_noisy_tool_output();
-        let before = serde_json::to_value(&req).unwrap();
-        state.apply_rtk_to_openai(&mut req, "gpt-4o");
-        let after = serde_json::to_value(&req).unwrap();
-        assert_ne!(before, after, "tool output should have been compressed");
-        assert_eq!(state.metrics.snapshot().rtk_compressed_total, 1);
-    }
-
-    #[test]
-    fn disabled_is_a_noop() {
-        let state = state_with_rtk(false);
-        let mut req = request_with_noisy_tool_output();
-        let before = serde_json::to_value(&req).unwrap();
-        state.apply_rtk_to_openai(&mut req, "gpt-4o");
-        assert_eq!(before, serde_json::to_value(&req).unwrap());
-        assert_eq!(state.metrics.snapshot().rtk_compressed_total, 0);
-    }
-
-    #[test]
-    fn engine_absent_is_a_noop() {
-        let mut state = state_with_rtk(true);
-        state.rtk = None;
-        let mut req = request_with_noisy_tool_output();
-        let before = serde_json::to_value(&req).unwrap();
-        state.apply_rtk_to_openai(&mut req, "gpt-4o");
-        assert_eq!(before, serde_json::to_value(&req).unwrap());
-        assert_eq!(state.metrics.snapshot().rtk_compressed_total, 0);
-    }
-}
-
-/// Global state for the multi-backend metrics endpoint.
-#[derive(Clone)]
-pub(crate) struct GlobalState {
-    pub(crate) backend_metrics: Arc<HashMap<String, Metrics>>,
-}
-
-/// Wrapper so OwnedSemaphorePermit can be stored in request extensions.
-/// The field is never read directly; it exists as an RAII guard to hold
-/// the permit until the struct is dropped.
-#[derive(Clone)]
-pub(crate) struct ConcurrencyPermit(
-    #[allow(dead_code)] pub(crate) Arc<tokio::sync::OwnedSemaphorePermit>,
-);
diff --git a/crates/proxy/src/server/state/anthropic_json.rs b/crates/proxy/src/server/state/anthropic_json.rs
new file mode 100644
index 0000000..492b613
--- /dev/null
+++ b/crates/proxy/src/server/state/anthropic_json.rs
@@ -0,0 +1,33 @@
+use anyllm_translate::{anthropic, mapping};
+use axum::{
+    extract::{rejection::JsonRejection, FromRequest},
+    http::StatusCode,
+    response::{IntoResponse, Json, Response},
+};
+
+/// Custom JSON extractor that returns Anthropic-shaped error responses on
+/// parse failure. Axum's built-in Json returns its own error format, which
+/// would break clients expecting Anthropic error shapes.
+pub(crate) struct AnthropicJson<T>(pub T);
+
+impl<S, T> FromRequest<S> for AnthropicJson<T>
+where
+    Json<T>: FromRequest<S, Rejection = JsonRejection>,
+    S: Send + Sync,
+{
+    type Rejection = Response;
+
+    async fn from_request(req: axum::extract::Request, state: &S) -> Result<Self, Self::Rejection> {
+        match Json::<T>::from_request(req, state).await {
+            Ok(Json(value)) => Ok(AnthropicJson(value)),
+            Err(rejection) => {
+                let err = mapping::errors_map::create_anthropic_error(
+                    anthropic::ErrorType::InvalidRequestError,
+                    rejection.body_text(),
+                    None,
+                );
+                Err((StatusCode::BAD_REQUEST, Json(err)).into_response())
+            }
+        }
+    }
+}
diff --git a/crates/proxy/src/server/state/app_state.rs b/crates/proxy/src/server/state/app_state.rs
new file mode 100644
index 0000000..4fa88ac
--- /dev/null
+++ b/crates/proxy/src/server/state/app_state.rs
@@ -0,0 +1,307 @@
+use crate::admin::state::{RuntimeConfig, SharedState};
+use crate::backend::BackendClient;
+use crate::metrics::Metrics;
+use anyllm_providers::ProviderCatalog;
+use anyllm_translate::{anthropic, mapping};
+use axum::{
+    http::StatusCode,
+    response::{IntoResponse, Json, Response},
+};
+use std::collections::HashMap;
+use std::sync::{Arc, RwLock};
+use tokio::sync::Semaphore;
+
+use super::resolved_model::ResolvedModel;
+use super::tool_engine::ToolEngineState;
+
+/// Per-backend state shared across request handlers.
+///
+/// In single-backend mode, one `AppState` serves all routes. In multi-backend mode,
+/// each backend gets its own `AppState` mounted under a prefix path (e.g., `/openai/v1/messages`).
+#[derive(Clone)]
+pub struct AppState {
+    pub backend: BackendClient,
+    pub metrics: Metrics,
+    /// Runtime config (model mappings, body logging, redaction) read on every request.
+    /// Shared with admin server so config changes take effect immediately.
+    pub runtime_config: Arc<RwLock<RuntimeConfig>>,
+    /// Shared admin state for request logging and live updates. None in tests.
+    pub shared: Option<SharedState>,
+    /// Per-route option overrides for the request that produced this (cloned)
+    /// state, set by `resolve_model_and_state` when a DB route was selected.
+    /// `None` means "no route override; use the global RuntimeConfig value".
+    /// Read by the option accessors (`redact_secrets`, `effective_tool_guardrails`,
+    /// `active_pxpipe`, `pxpipe_models`).
+    pub route_options: Option<Arc<crate::config::route_router::RouteOptions>>,
+    /// Backend name for logging purposes.
+    pub backend_name: String,
+    /// Canonical provider id used for provider/model policy decisions.
+    pub provider_id: Option<String>,
+    /// Concurrency limiter. Uses try_acquire (fail-fast) instead of queueing
+    /// to prevent cascading latency under load. Requests exceeding the limit
+    /// get 429 immediately, matching Anthropic's rate limiting behavior.
+    pub concurrency: Arc<Semaphore>,
+    /// Strip `stream_options` from streaming requests for local LLM compat.
+    pub omit_stream_options: bool,
+    /// Wall-clock cap for streaming responses in seconds. 0 = disabled.
+    /// Prevents resource exhaustion from stalled backends.
+    pub stream_timeout_secs: u64,
+    /// When true, set `x-anyllm-degradation` header on responses that silently drop features.
+    /// Mirrors Config::expose_degradation_warnings / MultiConfig::expose_degradation_warnings.
+    pub expose_degradation_warnings: bool,
+    /// Optional response cache for non-streaming requests.
+    pub cache: Option<Arc<crate::cache::memory::MemoryCache>>,
+    /// Anthropic thinking-block record-and-restore repair store. `None`
+    /// unless `backend` is `BackendClient::Anthropic`; only consulted by
+    /// `anthropic_passthrough`. Always `Some` for Anthropic backends
+    /// regardless of whether the feature is enabled -- use
+    /// `thinking_repair_enabled()` to check the live toggle before using it.
+    pub thinking_repair: Option<Arc<crate::thinking_repair::ThinkingRepairStore>>,
+    /// Text-to-image context compression engine (pxpipe). `None` unless
+    /// `backend` is `BackendClient::Anthropic`; only consulted by
+    /// `anthropic_passthrough`. Always `Some` for Anthropic backends regardless
+    /// of the live toggle -- use `active_pxpipe()`, which checks
+    /// `RuntimeConfig.pxpipe_compress`, before using it.
+    pub pxpipe: Option<Arc<crate::pxpipe::PxpipeEngine>>,
+    /// Command-aware tool-output compression engine (RTK). `Some` for Anthropic
+    /// and Translate modes; only consulted when `RuntimeConfig.rtk_compress` is
+    /// on -- use `rtk_engine_for(model)`.
+    pub rtk: Option<Arc<crate::rtk::RtkEngine>>,
+    /// FFEC prompt-compression engine (`OptimizerEngine`). `Some` for Anthropic
+    /// and Translate modes, mirroring `rtk`; baked with the static
+    /// `OPTIMIZER_MODE`-env default at startup -- use `effective_optimizer()`,
+    /// which applies the live `RouteOptions.optimizer_mode` override on top.
+    pub optimizer: Option<Arc<crate::optimizer::OptimizerEngine>>,
+    /// Model-level router for LiteLLM model_list configs. None for TOML/env configs.
+    /// Wrapped in RwLock for dynamic model management via admin API.
+    pub model_router: Option<Arc<RwLock<crate::config::model_router::ModelRouter>>>,
+    /// Immutable provider/model catalog used for runtime model metadata.
+    pub provider_catalog: Arc<ProviderCatalog>,
+    /// All backend states, for cross-backend model routing. None unless model_router is set.
+    pub all_backends: Option<Arc<HashMap<String, AppState>>>,
+    /// Tool execution engine state. None when tool execution is not configured.
+    pub tool_engine: Option<Arc<ToolEngineState>>,
+    /// Batch orchestration engine. None in test configs that don't need batch.
+    pub batch_engine: Option<
+        Arc<
+            anyllm_batch_engine::BatchEngine<
+                anyllm_batch_engine::queue::sqlite::SqliteQueue,
+                anyllm_batch_engine::webhook::sqlite::SqliteWebhookQueue,
+            >,
+        >,
+    >,
+}
+
+impl AppState {
+    /// Map a model name through the current runtime config for this backend.
+    pub(crate) fn map_model(&self, model: &str) -> String {
+        let config = self
+            .runtime_config
+            .read()
+            .unwrap_or_else(|e| e.into_inner());
+        if let Some(mapping) = config.model_mappings.get(&self.backend_name) {
+            mapping.map_model(model)
+        } else {
+            model.to_string()
+        }
+    }
+
+    /// Resolve a model name to a backend.
+    ///
+    /// Precedence: (1) admin-DB routes (`RouteRouter`), (2) LiteLLM model_router,
+    /// (3) legacy ModelMapping. An empty route router falls straight through so
+    /// installs without routes behave exactly as before.
+    pub(crate) fn resolve_model(&self, model: &str) -> ResolvedModel {
+        if let Some(shared) = self.shared.as_ref() {
+            if let Some(ref rr_lock) = shared.route_router {
+                use crate::config::route_router::RouteResolution;
+                let rr = rr_lock.read().unwrap_or_else(|e| e.into_inner());
+                if !rr.is_empty() {
+                    match rr.resolve(model) {
+                        RouteResolution::Routed(res) => {
+                            return ResolvedModel::Routed {
+                                backend_name: res.backend_name,
+                                model: res.model,
+                                deployment: res.deployment,
+                                options: Some(res.options),
+                            };
+                        }
+                        RouteResolution::AllAtLimit => return ResolvedModel::AllAtLimit,
+                        // No route serves this model: fall through to the layers below.
+                        RouteResolution::NoRoute => {}
+                    }
+                }
+            }
+        }
+        if let Some(ref router_lock) = self.model_router {
+            let router = router_lock.read().unwrap_or_else(|e| e.into_inner());
+            if let Some(routed) = router.route(model) {
+                return ResolvedModel::Routed {
+                    backend_name: routed.backend_name.to_string(),
+                    model: routed.actual_model.to_string(),
+                    deployment: routed.deployment.clone(),
+                    options: None,
+                };
+            }
+            if router.has_model(model) {
+                return ResolvedModel::AllAtLimit;
+            }
+            return ResolvedModel::UnknownModel;
+        }
+        ResolvedModel::Legacy(self.map_model(model))
+    }
+
+    /// Resolve model and return (mapped_model, effective AppState, optional deployment).
+    /// If the model routes to a different backend, the returned state is cloned from
+    /// all_backends. Returns Err with a 429 response if all deployments are at limit.
+    /// The deployment Arc is returned so handlers can call record_start/record_finish.
+    #[allow(clippy::result_large_err)]
+    pub(crate) fn resolve_model_and_state(
+        &self,
+        model: &str,
+    ) -> Result<
+        (
+            String,
+            AppState,
+            Option<Arc<crate::config::model_router::Deployment>>,
+        ),
+        Response,
+    > {
+        match self.resolve_model(model) {
+            ResolvedModel::Routed {
+                backend_name,
+                model: mapped,
+                deployment,
+                options,
+            } => {
+                let mut effective = self
+                    .all_backends
+                    .as_ref()
+                    .and_then(|m| m.get(&backend_name))
+                    .cloned()
+                    .or_else(|| {
+                        // Check managed backends (SQLite-backed, zero-restart)
+                        self.shared.as_ref().and_then(|s| {
+                            let guard = s.managed_backends
+                                .read()
+                                .ok()
+                                .or_else(|| {
+                                    tracing::warn!("managed_backends RwLock is poisoned; skipping managed backend lookup");
+                                    None
+                                })?;
+                            guard.get(&backend_name).map(|(row, client)| {
+                                let mut state = self.clone();
+                                state.backend = client.clone();
+                                state.backend_name = backend_name.clone();
+                                state.provider_id = Some(row.provider_id.clone());
+                                state
+                            })
+                        })
+                    })
+                    .unwrap_or_else(|| self.clone());
+                // Carry the per-route option overrides onto the effective state so
+                // the option accessors resolve route-first, global-fallback.
+                effective.route_options = options;
+                Ok((mapped, effective, Some(deployment)))
+            }
+            ResolvedModel::AllAtLimit => {
+                let err = mapping::errors_map::create_anthropic_error(
+                    anthropic::ErrorType::RateLimitError,
+                    "all deployments for this model are at their RPM limit".to_string(),
+                    None,
+                );
+                Err((StatusCode::TOO_MANY_REQUESTS, Json(err)).into_response())
+            }
+            ResolvedModel::UnknownModel => {
+                let err = mapping::errors_map::create_anthropic_error(
+                    anthropic::ErrorType::InvalidRequestError,
+                    format!("model '{model}' is not configured in model_list"),
+                    None,
+                );
+                Err((StatusCode::BAD_REQUEST, Json(err)).into_response())
+            }
+            ResolvedModel::Legacy(mapped) => Ok((mapped, self.clone(), None)),
+        }
+    }
+
+    /// Whether request/response body logging is enabled.
+    pub(crate) fn log_bodies(&self) -> bool {
+        self.runtime_config
+            .read()
+            .unwrap_or_else(|e| e.into_inner())
+            .log_bodies
+    }
+
+    /// Whether upstream JSON/text request payloads should be redacted.
+    /// Route override (if set) wins over the global RuntimeConfig value.
+    pub(crate) fn redact_secrets(&self) -> bool {
+        if let Some(v) = self.route_options.as_ref().and_then(|o| o.redact_secrets) {
+            return v;
+        }
+        self.runtime_config
+            .read()
+            .unwrap_or_else(|e| e.into_inner())
+            .redact_secrets
+    }
+
+    /// Effective tool-call guardrail config for this request: the runtime,
+    /// admin-tunable override (`RuntimeConfig.tool_guardrail_mode`, no
+    /// restart required) applied on top of `engine.guardrails` (the static
+    /// preset built from YAML/env at startup). See
+    /// `crate::tools::resolve_runtime_guardrails`.
+    pub(crate) fn effective_tool_guardrails(
+        &self,
+        engine: &ToolEngineState,
+    ) -> crate::tools::ToolGuardrailConfig {
+        // Route override (if set) wins over the live global RuntimeConfig mode.
+        if let Some(mode) = self
+            .route_options
+            .as_ref()
+            .and_then(|o| o.guardrail_mode.as_deref())
+        {
+            return crate::tools::resolve_runtime_guardrails(&engine.guardrails, mode);
+        }
+        crate::tools::resolve_runtime_guardrails_locked(&self.runtime_config, &engine.guardrails)
+    }
+
+    /// Whether Anthropic thinking-block repair (record + restore) is active.
+    /// `self.thinking_repair` may be `Some` even when this is `false` -- the
+    /// store is always constructed for Anthropic backends; only this flag
+    /// gates whether it's actually used.
+    pub(crate) fn thinking_repair_enabled(&self) -> bool {
+        self.runtime_config
+            .read()
+            .unwrap_or_else(|e| e.into_inner())
+            .anthropic_thinking_repair
+    }
+
+    /// Whether Anthropic passthrough forwards the client's own incoming
+    /// credential upstream instead of the operator's (`ANTHROPIC_FORWARD_CLIENT_AUTH`,
+    /// live-toggleable via `RuntimeConfig.forward_client_auth`). Read fresh on
+    /// every request -- unlike the old frozen `AppState` field this replaced,
+    /// this reflects an admin-UI change immediately without a restart, and
+    /// applies uniformly to every `BackendKind::Anthropic` backend since they
+    /// all share one `RuntimeConfig`.
+    pub(crate) fn forward_client_auth_enabled(&self) -> bool {
+        self.runtime_config
+            .read()
+            .unwrap_or_else(|e| e.into_inner())
+            .forward_client_auth
+    }
+
+    /// The thinking-repair store, but only when the live admin-toggleable
+    /// flag is actually on. `None` both when repair is entirely absent (non-
+    /// Anthropic backend) and when it's present-but-disabled -- single
+    /// accessor so call sites collapse to `if let Some(store) = ...` instead
+    /// of separately checking `thinking_repair_enabled()` and
+    /// `thinking_repair.is_some()`.
+    pub(crate) fn active_thinking_repair(
+        &self,
+    ) -> Option<Arc<crate::thinking_repair::ThinkingRepairStore>> {
+        if self.thinking_repair_enabled() {
+            self.thinking_repair.clone()
+        } else {
+            None
+        }
+    }
+}
diff --git a/crates/proxy/src/server/state/compression.rs b/crates/proxy/src/server/state/compression.rs
new file mode 100644
index 0000000..5508802
--- /dev/null
+++ b/crates/proxy/src/server/state/compression.rs
@@ -0,0 +1,281 @@
+use anyllm_translate::{anthropic, openai};
+use std::sync::Arc;
+
+use super::app_state::AppState;
+
+impl AppState {
+    /// The pxpipe compression engine, but only when the live admin-toggleable
+    /// flag (`RuntimeConfig.pxpipe_compress`) is on. `None` both when the engine
+    /// is absent (non-Anthropic backend) and when present-but-disabled.
+    pub(crate) fn active_pxpipe(&self) -> Option<Arc<crate::pxpipe::PxpipeEngine>> {
+        let enabled = match self.route_options.as_ref().and_then(|o| o.pxpipe_compress) {
+            Some(v) => v,
+            None => {
+                self.runtime_config
+                    .read()
+                    .unwrap_or_else(|e| e.into_inner())
+                    .pxpipe_compress
+            }
+        };
+        if enabled {
+            self.pxpipe.clone()
+        } else {
+            None
+        }
+    }
+
+    /// Live model-scope CSV for pxpipe. Route override wins over the global
+    /// `RuntimeConfig.pxpipe_models` value.
+    pub(crate) fn pxpipe_models(&self) -> String {
+        if let Some(csv) = self
+            .route_options
+            .as_ref()
+            .and_then(|o| o.pxpipe_models.clone())
+        {
+            return csv;
+        }
+        self.runtime_config
+            .read()
+            .unwrap_or_else(|e| e.into_inner())
+            .pxpipe_models
+            .clone()
+    }
+
+    /// Vision gate: if the catalog knows this model and says it is NOT
+    /// vision-capable, refuse (fail-closed). Unknown models fall back to the
+    /// scope list only — a Claude passthrough model is vision-capable in
+    /// practice, and the scope list is the operator's explicit control.
+    fn pxpipe_vision_ok(&self, model: &str) -> bool {
+        match self
+            .provider_id
+            .as_deref()
+            .and_then(|pid| self.provider_catalog.get_model(pid, model))
+        {
+            Some(def) => def.capabilities.vision,
+            None => true,
+        }
+    }
+
+    /// The pxpipe engine for `model`, or `None` if compression shouldn't run:
+    /// the master toggle is off, the engine is absent (non-Anthropic backend),
+    /// the model is out of the live scope CSV, or it isn't vision-capable.
+    /// Single accessor so `passthrough` collapses to
+    /// `if let Some(engine) = state.pxpipe_engine_for(model)`.
+    pub(crate) fn pxpipe_engine_for(
+        &self,
+        model: &str,
+    ) -> Option<Arc<crate::pxpipe::PxpipeEngine>> {
+        let engine = self.active_pxpipe()?;
+        if crate::pxpipe::model_in_scope(model, &self.pxpipe_models())
+            && self.pxpipe_vision_ok(model)
+        {
+            Some(engine)
+        } else {
+            None
+        }
+    }
+
+    /// The RTK engine for `model`, or `None` if compression shouldn't run: the
+    /// toggle is off, the engine is absent, or the model is out of scope. RTK is
+    /// not vision-gated, so there is no capability check.
+    ///
+    /// Reads the toggle and scope from a single RwLock critical section for
+    /// consistency, and checks `route_options` first (matching the pxpipe pattern)
+    /// so per-route overrides take precedence over the global RuntimeConfig.
+    pub(crate) fn rtk_engine_for(&self, model: &str) -> Option<Arc<crate::rtk::RtkEngine>> {
+        let cfg = self
+            .runtime_config
+            .read()
+            .unwrap_or_else(|e| e.into_inner());
+        let enabled = self
+            .route_options
+            .as_ref()
+            .and_then(|o| o.rtk_compress)
+            .unwrap_or(cfg.rtk_compress);
+        if !enabled {
+            return None;
+        }
+        let engine = self.rtk.clone()?;
+        let models_csv = self
+            .route_options
+            .as_ref()
+            .and_then(|o| o.rtk_models.as_deref())
+            .unwrap_or(&cfg.rtk_models);
+        if crate::rtk::model_in_scope(model, models_csv) {
+            Some(engine)
+        } else {
+            None
+        }
+    }
+
+    /// Effective FFEC prompt-compression engine for this request, or `None`
+    /// when optimization is unconfigured for this backend/mode (`self.optimizer`
+    /// is `None`). Precedence, mirroring `effective_tool_guardrails` /
+    /// `resolve_runtime_guardrails_locked`: (1) route override
+    /// (`RouteOptions.optimizer_mode`, if set) wins outright; (2) otherwise the
+    /// live `RuntimeConfig.optimizer_mode` admin toggle (no restart required);
+    /// (3) otherwise the static per-process engine baked with the
+    /// `OPTIMIZER_MODE`-env default at startup.
+    pub(crate) fn effective_optimizer(&self) -> Option<Arc<crate::optimizer::OptimizerEngine>> {
+        let engine = self.optimizer.as_ref()?;
+        if let Some(mode_str) = self
+            .route_options
+            .as_ref()
+            .and_then(|o| o.optimizer_mode.as_deref())
+        {
+            return Some(Arc::new(engine.with_mode_override(mode_str)));
+        }
+        Some(Arc::new(
+            crate::optimizer::resolve_runtime_optimizer_locked(&self.runtime_config, engine),
+        ))
+    }
+
+    /// Apply RTK tool-output compression to an OpenAI-format request and record
+    /// metrics. Shared helper used by both the /v1/chat/completions and /v1/messages
+    /// translate paths (streaming and non-streaming). No-op when the engine is
+    /// unavailable, disabled, or no tool messages are present.
+    pub(crate) fn apply_rtk_to_openai(&self, req: &mut openai::ChatCompletionRequest, model: &str) {
+        let engine = match self.rtk_engine_for(model) {
+            Some(e) => e,
+            None => return,
+        };
+        // Pre-check: only serialize when there are tool messages to compress.
+        if !req
+            .messages
+            .iter()
+            .any(|m| m.role == openai::ChatRole::Tool)
+        {
+            return;
+        }
+        let mut v = match serde_json::to_value(&*req) {
+            Ok(v) => v,
+            Err(_) => return,
+        };
+        let Some((blocks, saved)) = engine.compress_openai_chat(&mut v) else {
+            return;
+        };
+        match serde_json::from_value::<openai::ChatCompletionRequest>(v) {
+            Ok(patched) => {
+                *req = patched;
+                self.metrics.record_rtk_compression(blocks, saved);
+                tracing::info!(
+                    model,
+                    blocks,
+                    chars_saved = saved,
+                    "rtk: compressed OpenAI request"
+                );
+            }
+            Err(e) => tracing::warn!(
+                error = %e,
+                "rtk: failed to re-deserialize compressed OpenAI request; forwarding original"
+            ),
+        }
+    }
+
+    /// Apply FFEC prompt compression (`effective_optimizer()`) to an OpenAI-format
+    /// request at the parsed-body seam. Client-sent history only -- callers must
+    /// never invoke this on proxy-appended tool-loop turns (see
+    /// `crates/optimizer/CLAUDE.md` "Streaming & tool-loop decision"). `Shadow`
+    /// mode logs the `OptimizationReport` and leaves `req` unchanged; `Live` mode
+    /// applies the rendered body in place. No-op when optimization is
+    /// unconfigured or resolves to `Mode::Off` for this request.
+    pub(crate) fn apply_optimizer_to_openai(
+        &self,
+        req: &mut openai::ChatCompletionRequest,
+        route: &str,
+    ) {
+        let Some(engine) = self.effective_optimizer() else {
+            return;
+        };
+        let mut v = match serde_json::to_value(&*req) {
+            Ok(v) => v,
+            Err(_) => return,
+        };
+        let report = engine.optimize_openai(&mut v, route);
+        if report.mode == anyllm_optimize_core::Mode::Shadow {
+            tracing::info!(
+                route,
+                removed_tokens_est = report.removed_tokens_est,
+                messages_compressed = report.messages_compressed,
+                failure = report.failure.as_deref().unwrap_or(""),
+                "optimizer: shadow report (not applied)"
+            );
+        }
+        if !report.applied {
+            return;
+        }
+        match serde_json::from_value::<openai::ChatCompletionRequest>(v) {
+            Ok(patched) => {
+                *req = patched;
+                self.metrics.record_optimization(
+                    report.messages_compressed as u64,
+                    report.removed_tokens_est,
+                );
+                tracing::info!(
+                    route,
+                    removed_tokens_est = report.removed_tokens_est,
+                    messages_compressed = report.messages_compressed,
+                    "optimizer: compressed OpenAI request"
+                );
+            }
+            Err(e) => tracing::warn!(
+                error = %e,
+                "optimizer: failed to re-deserialize compressed OpenAI request; forwarding original"
+            ),
+        }
+    }
+
+    /// Apply FFEC prompt compression (`effective_optimizer()`) to an Anthropic
+    /// Messages request at the parsed-body seam. Same contract as
+    /// [`Self::apply_optimizer_to_openai`]: client-sent history only, fails open,
+    /// `Shadow` never mutates `req`.
+    pub(crate) fn apply_optimizer_to_anthropic(
+        &self,
+        req: &mut anthropic::MessageCreateRequest,
+        route: &str,
+    ) {
+        let Some(engine) = self.effective_optimizer() else {
+            return;
+        };
+        let mut v = match serde_json::to_value(&*req) {
+            Ok(v) => v,
+            Err(_) => return,
+        };
+        let report = engine.optimize_anthropic(&mut v, route);
+        if report.mode == anyllm_optimize_core::Mode::Shadow {
+            tracing::info!(
+                route,
+                removed_tokens_est = report.removed_tokens_est,
+                messages_compressed = report.messages_compressed,
+                failure = report.failure.as_deref().unwrap_or(""),
+                "optimizer: shadow report (not applied)"
+            );
+        }
+        if !report.applied {
+            return;
+        }
+        match serde_json::from_value::<anthropic::MessageCreateRequest>(v) {
+            Ok(patched) => {
+                *req = patched;
+                self.metrics.record_optimization(
+                    report.messages_compressed as u64,
+                    report.removed_tokens_est,
+                );
+                tracing::info!(
+                    route,
+                    removed_tokens_est = report.removed_tokens_est,
+                    messages_compressed = report.messages_compressed,
+                    "optimizer: compressed Anthropic request"
+                );
+            }
+            Err(e) => tracing::warn!(
+                error = %e,
+                "optimizer: failed to re-deserialize compressed Anthropic request; forwarding original"
+            ),
+        }
+    }
+}
+
+#[cfg(test)]
+#[path = "compression/tests.rs"]
+mod tests;
diff --git a/crates/proxy/src/server/state/compression/tests.rs b/crates/proxy/src/server/state/compression/tests.rs
new file mode 100644
index 0000000..c7ed4b0
--- /dev/null
+++ b/crates/proxy/src/server/state/compression/tests.rs
@@ -0,0 +1,315 @@
+use super::*;
+use crate::admin::state::RuntimeConfig;
+use crate::config::{BackendAuth, BackendKind, Config, ModelMapping, OpenAIApiFormat, TlsConfig};
+use crate::metrics::Metrics;
+use anyllm_optimize_core::Mode;
+use anyllm_providers::ProviderCatalog;
+use std::sync::{Arc, RwLock};
+use tokio::sync::Semaphore;
+
+/// Long enough that FFEC's min-length gate actually has something to compress.
+fn long_text() -> String {
+    "The quick brown fox jumps over the lazy dog again and again across the wide \
+     green field toward the distant blue mountains far beyond the winding river."
+        .repeat(4)
+}
+
+fn minimal_state(optimizer_mode: Mode) -> AppState {
+    let config = Config {
+        backend: BackendKind::OpenAI,
+        openai_api_key: "test".into(),
+        openai_base_url: "https://api.openai.com".into(),
+        listen_port: 3000,
+        model_mapping: ModelMapping {
+            big_model: "gpt-4o".into(),
+            small_model: "gpt-4o-mini".into(),
+        },
+        tls: TlsConfig::default(),
+        backend_auth: BackendAuth::BearerToken("test".into()),
+        log_bodies: false,
+        redact_secrets: false,
+        anthropic_thinking_repair: false,
+        pxpipe_compress: false,
+        expose_degradation_warnings: false,
+        openai_api_format: OpenAIApiFormat::Chat,
+        provider_id: None,
+    };
+    let backend = crate::backend::BackendClient::OpenAI(
+        crate::backend::openai_client::OpenAIClient::new(&config),
+    );
+    let runtime_config = Arc::new(RwLock::new(RuntimeConfig {
+        model_mappings: indexmap::IndexMap::new(),
+        log_level: "info".to_string(),
+        log_bodies: false,
+        redact_secrets: false,
+        anthropic_thinking_repair: false,
+        pxpipe_compress: false,
+        pxpipe_models: String::new(),
+        rtk_compress: false,
+        rtk_models: String::new(),
+        forward_client_auth: false,
+        tool_guardrail_mode: "disabled".to_string(),
+        optimizer_mode: optimizer_mode.as_str().to_string(),
+    }));
+    AppState {
+        backend,
+        metrics: Metrics::new(),
+        runtime_config,
+        shared: None,
+        route_options: None,
+        backend_name: "openai".to_string(),
+        provider_id: None,
+        concurrency: Arc::new(Semaphore::new(64)),
+        omit_stream_options: false,
+        stream_timeout_secs: 0,
+        expose_degradation_warnings: false,
+        cache: None,
+        thinking_repair: None,
+        pxpipe: None,
+        rtk: None,
+        optimizer: Some(Arc::new(crate::optimizer::OptimizerEngine::new(
+            optimizer_mode,
+        ))),
+        model_router: None,
+        provider_catalog: Arc::new(ProviderCatalog::bundled()),
+        all_backends: None,
+        tool_engine: None,
+        batch_engine: None,
+    }
+}
+
+fn long_openai_request() -> openai::ChatCompletionRequest {
+    let long = long_text();
+    let mut body = serde_json::json!({
+        "model": "gpt-4o",
+        "messages": [{"role": "system", "content": "you are helpful"}],
+    });
+    let msgs = body["messages"].as_array_mut().unwrap();
+    for _ in 0..16 {
+        msgs.push(serde_json::json!({"role": "user", "content": long}));
+        msgs.push(serde_json::json!({"role": "assistant", "content": long}));
+    }
+    msgs.push(serde_json::json!({"role": "user", "content": "what is the latest?"}));
+    serde_json::from_value(body).expect("valid ChatCompletionRequest")
+}
+
+fn long_anthropic_request() -> anthropic::MessageCreateRequest {
+    let long = long_text();
+    let mut body = serde_json::json!({
+        "model": "claude-sonnet-5",
+        "max_tokens": 1024,
+        "messages": [],
+    });
+    let msgs = body["messages"].as_array_mut().unwrap();
+    for _ in 0..16 {
+        msgs.push(serde_json::json!({"role": "user", "content": long}));
+        msgs.push(serde_json::json!({"role": "assistant", "content": long}));
+    }
+    msgs.push(serde_json::json!({"role": "user", "content": "what is the latest?"}));
+    serde_json::from_value(body).expect("valid MessageCreateRequest")
+}
+
+#[test]
+fn shadow_mode_forwards_openai_body_unchanged() {
+    let state = minimal_state(Mode::Shadow);
+    let mut req = long_openai_request();
+    let before = serde_json::to_value(&req).unwrap();
+    state.apply_optimizer_to_openai(&mut req, "chat_completions");
+    let after = serde_json::to_value(&req).unwrap();
+    assert_eq!(before, after, "shadow mode must forward the original body");
+    assert_eq!(
+        state.metrics.snapshot().optimizer_compressed_total,
+        0,
+        "shadow mode must never record a metrics-visible compression"
+    );
+}
+
+#[test]
+fn shadow_mode_forwards_anthropic_body_unchanged() {
+    let state = minimal_state(Mode::Shadow);
+    let mut req = long_anthropic_request();
+    let before = serde_json::to_value(&req).unwrap();
+    state.apply_optimizer_to_anthropic(&mut req, "messages");
+    let after = serde_json::to_value(&req).unwrap();
+    assert_eq!(before, after, "shadow mode must forward the original body");
+}
+
+#[test]
+fn live_mode_compresses_openai_history_and_preserves_latest() {
+    let state = minimal_state(Mode::Live);
+    let mut req = long_openai_request();
+    let before = serde_json::to_value(&req).unwrap();
+    state.apply_optimizer_to_openai(&mut req, "chat_completions");
+    let after = serde_json::to_value(&req).unwrap();
+    assert_eq!(
+        before["messages"].as_array().unwrap().last(),
+        after["messages"].as_array().unwrap().last(),
+        "the latest turn must never be rewritten"
+    );
+    assert_eq!(
+        state.metrics.snapshot().optimizer_compressed_total,
+        1,
+        "an applied Live compression must be recorded in metrics"
+    );
+}
+
+#[test]
+fn live_mode_compresses_anthropic_history_and_preserves_latest() {
+    let state = minimal_state(Mode::Live);
+    let mut req = long_anthropic_request();
+    let before = serde_json::to_value(&req).unwrap();
+    state.apply_optimizer_to_anthropic(&mut req, "messages");
+    let after = serde_json::to_value(&req).unwrap();
+    assert_eq!(
+        before["messages"].as_array().unwrap().last(),
+        after["messages"].as_array().unwrap().last(),
+        "the latest turn must never be rewritten"
+    );
+}
+
+#[test]
+fn off_mode_is_noop_and_engine_absent_is_noop() {
+    // Off mode: engine present, mode Off -> never applied.
+    let state = minimal_state(Mode::Off);
+    let mut req = long_openai_request();
+    let before = serde_json::to_value(&req).unwrap();
+    state.apply_optimizer_to_openai(&mut req, "chat_completions");
+    assert_eq!(before, serde_json::to_value(&req).unwrap());
+
+    // No engine at all (e.g. non-Anthropic/Translate mode backend): no panic, no-op.
+    let mut state_no_engine = minimal_state(Mode::Live);
+    state_no_engine.optimizer = None;
+    let mut req2 = long_openai_request();
+    let before2 = serde_json::to_value(&req2).unwrap();
+    state_no_engine.apply_optimizer_to_openai(&mut req2, "chat_completions");
+    assert_eq!(before2, serde_json::to_value(&req2).unwrap());
+}
+
+#[test]
+fn short_history_below_min_len_gate_is_a_noop_not_a_panic() {
+    // A short request has nothing worth compressing (below FFEC's min-length
+    // gate) -- the seam must still round-trip cleanly without panicking or
+    // corrupting the body, i.e. it fails open when there's nothing to do.
+    let state = minimal_state(Mode::Live);
+    let mut req: openai::ChatCompletionRequest = serde_json::from_value(serde_json::json!({
+        "model": "gpt-4o",
+        "messages": [{"role": "user", "content": "hi"}],
+    }))
+    .unwrap();
+    let before = serde_json::to_value(&req).unwrap();
+    state.apply_optimizer_to_openai(&mut req, "chat_completions");
+    assert_eq!(before, serde_json::to_value(&req).unwrap());
+}
+
+fn state_with_rtk(enabled: bool) -> AppState {
+    let config = Config {
+        backend: BackendKind::OpenAI,
+        openai_api_key: "test".into(),
+        openai_base_url: "https://api.openai.com".into(),
+        listen_port: 3000,
+        model_mapping: ModelMapping {
+            big_model: "gpt-4o".into(),
+            small_model: "gpt-4o-mini".into(),
+        },
+        tls: TlsConfig::default(),
+        backend_auth: BackendAuth::BearerToken("test".into()),
+        log_bodies: false,
+        redact_secrets: false,
+        anthropic_thinking_repair: false,
+        pxpipe_compress: false,
+        expose_degradation_warnings: false,
+        openai_api_format: OpenAIApiFormat::Chat,
+        provider_id: None,
+    };
+    let backend = crate::backend::BackendClient::OpenAI(
+        crate::backend::openai_client::OpenAIClient::new(&config),
+    );
+    let runtime_config = Arc::new(RwLock::new(RuntimeConfig {
+        model_mappings: indexmap::IndexMap::new(),
+        log_level: "info".to_string(),
+        log_bodies: false,
+        redact_secrets: false,
+        anthropic_thinking_repair: false,
+        pxpipe_compress: false,
+        pxpipe_models: String::new(),
+        rtk_compress: enabled,
+        rtk_models: String::new(),
+        forward_client_auth: false,
+        tool_guardrail_mode: "disabled".to_string(),
+        optimizer_mode: "off".to_string(),
+    }));
+    AppState {
+        backend,
+        metrics: Metrics::new(),
+        runtime_config,
+        shared: None,
+        route_options: None,
+        backend_name: "openai".to_string(),
+        provider_id: None,
+        concurrency: Arc::new(Semaphore::new(64)),
+        omit_stream_options: false,
+        stream_timeout_secs: 0,
+        expose_degradation_warnings: false,
+        cache: None,
+        thinking_repair: None,
+        pxpipe: None,
+        rtk: Some(Arc::new(crate::rtk::RtkEngine::new())),
+        optimizer: None,
+        model_router: None,
+        provider_catalog: Arc::new(ProviderCatalog::bundled()),
+        all_backends: None,
+        tool_engine: None,
+        batch_engine: None,
+    }
+}
+
+fn request_with_noisy_tool_output() -> openai::ChatCompletionRequest {
+    let mut noise = String::from("On branch main\nChanges not staged for commit:\n");
+    for i in 0..200 {
+        noise.push_str(&format!("  (use \"git add ...\" file {i})\n"));
+    }
+    serde_json::from_value(serde_json::json!({
+        "model": "gpt-4o",
+        "messages": [
+            {"role": "user", "content": "run git status"},
+            {"role": "assistant", "content": null, "tool_calls": [
+                {"id": "t1", "type": "function",
+                 "function": {"name": "bash", "arguments": "{\"cmd\":\"git status\"}"}}
+            ]},
+            {"role": "tool", "tool_call_id": "t1", "content": noise},
+        ],
+    }))
+    .expect("valid ChatCompletionRequest")
+}
+
+#[test]
+fn enabled_compresses_tool_output_and_records_metrics() {
+    let state = state_with_rtk(true);
+    let mut req = request_with_noisy_tool_output();
+    let before = serde_json::to_value(&req).unwrap();
+    state.apply_rtk_to_openai(&mut req, "gpt-4o");
+    let after = serde_json::to_value(&req).unwrap();
+    assert_ne!(before, after, "tool output should have been compressed");
+    assert_eq!(state.metrics.snapshot().rtk_compressed_total, 1);
+}
+
+#[test]
+fn disabled_is_a_noop() {
+    let state = state_with_rtk(false);
+    let mut req = request_with_noisy_tool_output();
+    let before = serde_json::to_value(&req).unwrap();
+    state.apply_rtk_to_openai(&mut req, "gpt-4o");
+    assert_eq!(before, serde_json::to_value(&req).unwrap());
+    assert_eq!(state.metrics.snapshot().rtk_compressed_total, 0);
+}
+
+#[test]
+fn engine_absent_is_a_noop() {
+    let mut state = state_with_rtk(true);
+    state.rtk = None;
+    let mut req = request_with_noisy_tool_output();
+    let before = serde_json::to_value(&req).unwrap();
+    state.apply_rtk_to_openai(&mut req, "gpt-4o");
+    assert_eq!(before, serde_json::to_value(&req).unwrap());
+    assert_eq!(state.metrics.snapshot().rtk_compressed_total, 0);
+}
diff --git a/crates/proxy/src/server/state/concurrency.rs b/crates/proxy/src/server/state/concurrency.rs
new file mode 100644
index 0000000..16ec7d5
--- /dev/null
+++ b/crates/proxy/src/server/state/concurrency.rs
@@ -0,0 +1,17 @@
+use crate::metrics::Metrics;
+use std::collections::HashMap;
+use std::sync::Arc;
+
+/// Global state for the multi-backend metrics endpoint.
+#[derive(Clone)]
+pub(crate) struct GlobalState {
+    pub(crate) backend_metrics: Arc<HashMap<String, Metrics>>,
+}
+
+/// Wrapper so OwnedSemaphorePermit can be stored in request extensions.
+/// The field is never read directly; it exists as an RAII guard to hold
+/// the permit until the struct is dropped.
+#[derive(Clone)]
+pub(crate) struct ConcurrencyPermit(
+    #[allow(dead_code)] pub(crate) Arc<tokio::sync::OwnedSemaphorePermit>,
+);
diff --git a/crates/proxy/src/server/state/mod.rs b/crates/proxy/src/server/state/mod.rs
new file mode 100644
index 0000000..c0251a4
--- /dev/null
+++ b/crates/proxy/src/server/state/mod.rs
@@ -0,0 +1,15 @@
+// Shared state types for request handlers: AppState, AnthropicJson, ResolvedModel, etc.
+// Extracted from routes.rs so consumers can import state independently of the router setup.
+
+pub(crate) mod anthropic_json;
+pub(crate) mod app_state;
+pub(crate) mod compression;
+pub(crate) mod concurrency;
+pub(crate) mod resolved_model;
+pub(crate) mod tool_engine;
+
+pub(crate) use anthropic_json::AnthropicJson;
+pub use app_state::AppState;
+pub(crate) use concurrency::{ConcurrencyPermit, GlobalState};
+pub(crate) use resolved_model::ResolvedModel;
+pub use tool_engine::ToolEngineState;
diff --git a/crates/proxy/src/server/state/resolved_model.rs b/crates/proxy/src/server/state/resolved_model.rs
new file mode 100644
index 0000000..0bc57d6
--- /dev/null
+++ b/crates/proxy/src/server/state/resolved_model.rs
@@ -0,0 +1,21 @@
+use std::sync::Arc;
+
+/// Result of resolving a model name through the model router.
+pub(crate) enum ResolvedModel {
+    /// Routed via model_list to a specific backend and actual model name.
+    Routed {
+        backend_name: String,
+        model: String,
+        /// The deployment Arc for recording in-flight/latency stats.
+        deployment: Arc<crate::config::model_router::Deployment>,
+        /// Per-route option overrides when routed via a DB route; `None` when
+        /// routed via the LiteLLM model_router (inherit global config).
+        options: Option<Arc<crate::config::route_router::RouteOptions>>,
+    },
+    /// Model is known but all deployments are at their RPM limit.
+    AllAtLimit,
+    /// Model router is active but the model alias is not configured.
+    UnknownModel,
+    /// No model router, or model not in router. Used legacy ModelMapping.
+    Legacy(String),
+}
diff --git a/crates/proxy/src/server/state/tool_engine.rs b/crates/proxy/src/server/state/tool_engine.rs
new file mode 100644
index 0000000..1d9ed1a
--- /dev/null
+++ b/crates/proxy/src/server/state/tool_engine.rs
@@ -0,0 +1,11 @@
+use std::sync::Arc;
+
+/// Shared state for tool execution, stored in AppState.
+#[derive(Clone)]
+pub struct ToolEngineState {
+    pub registry: Arc<crate::tools::ToolRegistry>,
+    pub policy: Arc<crate::tools::ToolExecutionPolicy>,
+    pub loop_config: crate::tools::LoopConfig,
+    pub guardrails: crate::tools::ToolGuardrailConfig,
+    pub mcp_manager: Option<Arc<crate::tools::McpServerManager>>,
+}
diff --git a/crates/proxy/src/thinking_repair/repair.rs b/crates/proxy/src/thinking_repair/repair.rs
index c1d5ba6..ce7ea8e 100644
--- a/crates/proxy/src/thinking_repair/repair.rs
+++ b/crates/proxy/src/thinking_repair/repair.rs
@@ -248,335 +248,5 @@ fn thinking_eq(a: &ContentBlock, b: &ContentBlock) -> bool {
 }
 
 #[cfg(test)]
-mod tests {
-    use super::*;
-    use crate::thinking_repair::store::ThinkingRepairStore;
-    use anyllm_translate::anthropic::{Content, InputMessage, MessageCreateRequest};
-    use serde_json::json;
-
-    fn thinking(text: &str, sig: &str) -> ContentBlock {
-        ContentBlock::Thinking {
-            thinking: text.to_string(),
-            signature: Some(sig.to_string()),
-        }
-    }
-
-    fn tool_use(id: &str) -> ContentBlock {
-        ContentBlock::ToolUse {
-            id: id.to_string(),
-            name: "get_weather".to_string(),
-            input: json!({"city": "nyc"}),
-        }
-    }
-
-    fn text(s: &str) -> ContentBlock {
-        ContentBlock::Text {
-            text: s.to_string(),
-        }
-    }
-
-    fn req_with_last_assistant(blocks: Vec<ContentBlock>) -> MessageCreateRequest {
-        MessageCreateRequest {
-            model: "claude-opus-4-5".to_string(),
-            max_tokens: 1024,
-            messages: vec![
-                InputMessage {
-                    role: Role::User,
-                    content: Content::Text("hi".to_string()),
-                },
-                InputMessage {
-                    role: Role::Assistant,
-                    content: Content::Blocks(blocks),
-                },
-            ],
-            system: None,
-            temperature: None,
-            top_p: None,
-            top_k: None,
-            stop_sequences: None,
-            tools: None,
-            tool_choice: None,
-            metadata: None,
-            thinking: None,
-            stream: None,
-            extra: serde_json::Map::new(),
-        }
-    }
-
-    fn last_blocks(req: &MessageCreateRequest) -> &Vec<ContentBlock> {
-        match &req.messages.last().unwrap().content {
-            Content::Blocks(b) => b,
-            Content::Text(_) => panic!("expected blocks"),
-        }
-    }
-
-    #[tokio::test]
-    async fn tier0_byte_identical_passthrough() {
-        let store = ThinkingRepairStore::new();
-        store
-            .commit(
-                "ns1",
-                "msg_1",
-                vec![thinking("hmm", "sig_1"), tool_use("toolu_1")],
-            )
-            .await;
-
-        let mut req = req_with_last_assistant(vec![thinking("hmm", "sig_1"), tool_use("toolu_1")]);
-        let result = repair_request(&store, "ns1", &mut req).await;
-
-        assert!(
-            result.is_none(),
-            "byte-identical replay should not be touched"
-        );
-        assert_eq!(last_blocks(&req).len(), 2);
-    }
-
-    #[tokio::test]
-    async fn tier1_restores_mutated_text_under_known_signature() {
-        let store = ThinkingRepairStore::new();
-        store
-            .commit(
-                "ns1",
-                "msg_1",
-                vec![thinking("original thought", "sig_1"), tool_use("toolu_1")],
-            )
-            .await;
-
-        let mut req = req_with_last_assistant(vec![
-            thinking("merged garbled thought", "sig_1"),
-            tool_use("toolu_1"),
-        ]);
-        let result = repair_request(&store, "ns1", &mut req).await;
-
-        assert!(result.unwrap().contains("restored 1"));
-        match &last_blocks(&req)[0] {
-            ContentBlock::Thinking { thinking, .. } => assert_eq!(thinking, "original thought"),
-            other => panic!("expected restored Thinking block, got {other:?}"),
-        }
-    }
-
-    #[tokio::test]
-    async fn tier2_drops_intruder_block_from_different_message() {
-        let store = ThinkingRepairStore::new();
-        store
-            .commit(
-                "ns1",
-                "msg_1",
-                vec![thinking("owner thought", "sig_owner"), tool_use("toolu_1")],
-            )
-            .await;
-        store
-            .commit("ns1", "msg_2", vec![thinking("other thought", "sig_other")])
-            .await;
-
-        // Replay claims to be msg_1's turn (tool_use toolu_1) but carries an
-        // intruder thinking block whose signature belongs to msg_2.
-        let mut req = req_with_last_assistant(vec![
-            thinking("other thought", "sig_other"),
-            thinking("owner thought", "sig_owner"),
-            tool_use("toolu_1"),
-        ]);
-        let result = repair_request(&store, "ns1", &mut req).await;
-
-        assert!(result.unwrap().contains("dropped 1"));
-        let blocks = last_blocks(&req);
-        assert_eq!(blocks.len(), 2);
-        assert!(
-            matches!(&blocks[0], ContentBlock::Thinking { signature: Some(s), .. } if s == "sig_owner")
-        );
-    }
-
-    #[tokio::test]
-    async fn unknown_signature_with_known_owner_is_dropped() {
-        let store = ThinkingRepairStore::new();
-        store
-            .commit(
-                "ns1",
-                "msg_1",
-                vec![thinking("owner thought", "sig_owner"), tool_use("toolu_1")],
-            )
-            .await;
-
-        let mut req = req_with_last_assistant(vec![
-            thinking("garbage, no matching record", "sig_unknown"),
-            thinking("owner thought", "sig_owner"),
-            tool_use("toolu_1"),
-        ]);
-        let result = repair_request(&store, "ns1", &mut req).await;
-
-        assert!(result.unwrap().contains("dropped 1"));
-        assert_eq!(last_blocks(&req).len(), 2);
-    }
-
-    #[tokio::test]
-    async fn unknown_signature_with_no_owner_fails_open() {
-        let store = ThinkingRepairStore::new();
-        // No tool_use in this turn, so no owner is resolvable.
-        let mut req = req_with_last_assistant(vec![
-            thinking("standalone thought", "sig_unknown"),
-            text("done"),
-        ]);
-        let result = repair_request(&store, "ns1", &mut req).await;
-
-        assert!(
-            result.is_none(),
-            "no owner evidence -> fail open, pass through"
-        );
-        assert_eq!(last_blocks(&req).len(), 2);
-    }
-
-    #[tokio::test]
-    async fn reinserts_lost_redacted_thinking_block() {
-        let store = ThinkingRepairStore::new();
-        let redacted = ContentBlock::RedactedThinking {
-            data: "encrypted-blob".to_string(),
-        };
-        store
-            .commit("ns1", "msg_1", vec![redacted.clone(), tool_use("toolu_1")])
-            .await;
-
-        // Client replay is missing the redacted_thinking block entirely
-        // (Claude Code doesn't persist it to JSONL).
-        let mut req = req_with_last_assistant(vec![tool_use("toolu_1")]);
-        let result = repair_request(&store, "ns1", &mut req).await;
-
-        let msg = result.unwrap();
-        assert!(msg.contains("reinserted"), "got: {msg}");
-        let blocks = last_blocks(&req);
-        assert_eq!(blocks.len(), 2);
-        assert!(
-            matches!(&blocks[0], ContentBlock::RedactedThinking { data } if data == "encrypted-blob")
-        );
-    }
-
-    #[tokio::test]
-    async fn surplus_current_nonthinking_block_disables_reinsert() {
-        // rec has [thinking, tool_use_1]; current turn replays tool_use_1
-        // AND adds an extra tool_use_2 that was never recorded, while also
-        // dropping the thinking block. Non-thinking counts don't line up
-        // (2 vs. 1), so positional reinsertion would either drop toolu_2 or
-        // misalign it against rec -- must fail open instead.
-        let store = ThinkingRepairStore::new();
-        store
-            .commit(
-                "ns1",
-                "msg_1",
-                vec![thinking("hmm", "sig_1"), tool_use("toolu_1")],
-            )
-            .await;
-
-        let mut req = req_with_last_assistant(vec![tool_use("toolu_1"), tool_use("toolu_2")]);
-        let result = repair_request(&store, "ns1", &mut req).await;
-        let blocks = last_blocks(&req);
-
-        assert!(result.is_none(), "count mismatch should fail open");
-        assert_eq!(
-            blocks.len(),
-            2,
-            "current turn's blocks must be preserved as-is"
-        );
-        assert!(
-            blocks
-                .iter()
-                .any(|b| matches!(b, ContentBlock::ToolUse { id, .. } if id == "toolu_2")),
-            "toolu_2 must not be dropped"
-        );
-    }
-
-    #[tokio::test]
-    async fn missing_current_nonthinking_block_disables_reinsert() {
-        // rec has [thinking, tool_use_1, tool_use_2]; current turn only
-        // replays tool_use_1 (dropped tool_use_2 AND the thinking block).
-        // Non-thinking counts don't line up (1 vs. 2), so reinserting
-        // positionally would resurrect stale toolu_2 -- must fail open.
-        let store = ThinkingRepairStore::new();
-        store
-            .commit(
-                "ns1",
-                "msg_1",
-                vec![
-                    thinking("hmm", "sig_1"),
-                    tool_use("toolu_1"),
-                    tool_use("toolu_2"),
-                ],
-            )
-            .await;
-
-        let mut req = req_with_last_assistant(vec![tool_use("toolu_1")]);
-        let result = repair_request(&store, "ns1", &mut req).await;
-        let blocks = last_blocks(&req);
-
-        assert!(result.is_none(), "count mismatch should fail open");
-        assert_eq!(
-            blocks.len(),
-            1,
-            "current turn's blocks must be preserved as-is"
-        );
-        assert!(
-            !blocks
-                .iter()
-                .any(|b| matches!(b, ContentBlock::ToolUse { id, .. } if id == "toolu_2")),
-            "stale recorded toolu_2 must not be reinserted"
-        );
-    }
-
-    #[tokio::test]
-    async fn messages_before_last_assistant_are_never_touched() {
-        let store = ThinkingRepairStore::new();
-        store
-            .commit("ns1", "msg_2", vec![thinking("turn 2", "sig_2")])
-            .await;
-
-        let mut req = MessageCreateRequest {
-            model: "claude-opus-4-5".to_string(),
-            max_tokens: 1024,
-            messages: vec![
-                InputMessage {
-                    role: Role::User,
-                    content: Content::Text("first".to_string()),
-                },
-                InputMessage {
-                    role: Role::Assistant,
-                    // Deliberately mutated/corrupt — must be left alone
-                    // because it is NOT the last assistant message.
-                    content: Content::Blocks(vec![thinking("mutated turn 1", "sig_1_unknown")]),
-                },
-                InputMessage {
-                    role: Role::User,
-                    content: Content::Text("second".to_string()),
-                },
-                InputMessage {
-                    role: Role::Assistant,
-                    content: Content::Blocks(vec![thinking("turn 2", "sig_2")]),
-                },
-            ],
-            system: None,
-            temperature: None,
-            top_p: None,
-            top_k: None,
-            stop_sequences: None,
-            tools: None,
-            tool_choice: None,
-            metadata: None,
-            thinking: None,
-            stream: None,
-            extra: serde_json::Map::new(),
-        };
-
-        repair_request(&store, "ns1", &mut req).await;
-
-        match &req.messages[1].content {
-            Content::Blocks(b) => match &b[0] {
-                ContentBlock::Thinking {
-                    thinking,
-                    signature,
-                } => {
-                    assert_eq!(thinking, "mutated turn 1");
-                    assert_eq!(signature.as_deref(), Some("sig_1_unknown"));
-                }
-                other => panic!("unexpected block: {other:?}"),
-            },
-            Content::Text(_) => panic!("expected blocks"),
-        }
-    }
-}
+#[path = "repair/tests.rs"]
+mod tests;
diff --git a/crates/proxy/src/thinking_repair/repair/tests.rs b/crates/proxy/src/thinking_repair/repair/tests.rs
new file mode 100644
index 0000000..66ae9d2
--- /dev/null
+++ b/crates/proxy/src/thinking_repair/repair/tests.rs
@@ -0,0 +1,330 @@
+use super::*;
+use crate::thinking_repair::store::ThinkingRepairStore;
+use anyllm_translate::anthropic::{Content, InputMessage, MessageCreateRequest};
+use serde_json::json;
+
+fn thinking(text: &str, sig: &str) -> ContentBlock {
+    ContentBlock::Thinking {
+        thinking: text.to_string(),
+        signature: Some(sig.to_string()),
+    }
+}
+
+fn tool_use(id: &str) -> ContentBlock {
+    ContentBlock::ToolUse {
+        id: id.to_string(),
+        name: "get_weather".to_string(),
+        input: json!({"city": "nyc"}),
+    }
+}
+
+fn text(s: &str) -> ContentBlock {
+    ContentBlock::Text {
+        text: s.to_string(),
+    }
+}
+
+fn req_with_last_assistant(blocks: Vec<ContentBlock>) -> MessageCreateRequest {
+    MessageCreateRequest {
+        model: "claude-opus-4-5".to_string(),
+        max_tokens: 1024,
+        messages: vec![
+            InputMessage {
+                role: Role::User,
+                content: Content::Text("hi".to_string()),
+            },
+            InputMessage {
+                role: Role::Assistant,
+                content: Content::Blocks(blocks),
+            },
+        ],
+        system: None,
+        temperature: None,
+        top_p: None,
+        top_k: None,
+        stop_sequences: None,
+        tools: None,
+        tool_choice: None,
+        metadata: None,
+        thinking: None,
+        stream: None,
+        extra: serde_json::Map::new(),
+    }
+}
+
+fn last_blocks(req: &MessageCreateRequest) -> &Vec<ContentBlock> {
+    match &req.messages.last().unwrap().content {
+        Content::Blocks(b) => b,
+        Content::Text(_) => panic!("expected blocks"),
+    }
+}
+
+#[tokio::test]
+async fn tier0_byte_identical_passthrough() {
+    let store = ThinkingRepairStore::new();
+    store
+        .commit(
+            "ns1",
+            "msg_1",
+            vec![thinking("hmm", "sig_1"), tool_use("toolu_1")],
+        )
+        .await;
+
+    let mut req = req_with_last_assistant(vec![thinking("hmm", "sig_1"), tool_use("toolu_1")]);
+    let result = repair_request(&store, "ns1", &mut req).await;
+
+    assert!(
+        result.is_none(),
+        "byte-identical replay should not be touched"
+    );
+    assert_eq!(last_blocks(&req).len(), 2);
+}
+
+#[tokio::test]
+async fn tier1_restores_mutated_text_under_known_signature() {
+    let store = ThinkingRepairStore::new();
+    store
+        .commit(
+            "ns1",
+            "msg_1",
+            vec![thinking("original thought", "sig_1"), tool_use("toolu_1")],
+        )
+        .await;
+
+    let mut req = req_with_last_assistant(vec![
+        thinking("merged garbled thought", "sig_1"),
+        tool_use("toolu_1"),
+    ]);
+    let result = repair_request(&store, "ns1", &mut req).await;
+
+    assert!(result.unwrap().contains("restored 1"));
+    match &last_blocks(&req)[0] {
+        ContentBlock::Thinking { thinking, .. } => assert_eq!(thinking, "original thought"),
+        other => panic!("expected restored Thinking block, got {other:?}"),
+    }
+}
+
+#[tokio::test]
+async fn tier2_drops_intruder_block_from_different_message() {
+    let store = ThinkingRepairStore::new();
+    store
+        .commit(
+            "ns1",
+            "msg_1",
+            vec![thinking("owner thought", "sig_owner"), tool_use("toolu_1")],
+        )
+        .await;
+    store
+        .commit("ns1", "msg_2", vec![thinking("other thought", "sig_other")])
+        .await;
+
+    // Replay claims to be msg_1's turn (tool_use toolu_1) but carries an
+    // intruder thinking block whose signature belongs to msg_2.
+    let mut req = req_with_last_assistant(vec![
+        thinking("other thought", "sig_other"),
+        thinking("owner thought", "sig_owner"),
+        tool_use("toolu_1"),
+    ]);
+    let result = repair_request(&store, "ns1", &mut req).await;
+
+    assert!(result.unwrap().contains("dropped 1"));
+    let blocks = last_blocks(&req);
+    assert_eq!(blocks.len(), 2);
+    assert!(
+        matches!(&blocks[0], ContentBlock::Thinking { signature: Some(s), .. } if s == "sig_owner")
+    );
+}
+
+#[tokio::test]
+async fn unknown_signature_with_known_owner_is_dropped() {
+    let store = ThinkingRepairStore::new();
+    store
+        .commit(
+            "ns1",
+            "msg_1",
+            vec![thinking("owner thought", "sig_owner"), tool_use("toolu_1")],
+        )
+        .await;
+
+    let mut req = req_with_last_assistant(vec![
+        thinking("garbage, no matching record", "sig_unknown"),
+        thinking("owner thought", "sig_owner"),
+        tool_use("toolu_1"),
+    ]);
+    let result = repair_request(&store, "ns1", &mut req).await;
+
+    assert!(result.unwrap().contains("dropped 1"));
+    assert_eq!(last_blocks(&req).len(), 2);
+}
+
+#[tokio::test]
+async fn unknown_signature_with_no_owner_fails_open() {
+    let store = ThinkingRepairStore::new();
+    // No tool_use in this turn, so no owner is resolvable.
+    let mut req = req_with_last_assistant(vec![
+        thinking("standalone thought", "sig_unknown"),
+        text("done"),
+    ]);
+    let result = repair_request(&store, "ns1", &mut req).await;
+
+    assert!(
+        result.is_none(),
+        "no owner evidence -> fail open, pass through"
+    );
+    assert_eq!(last_blocks(&req).len(), 2);
+}
+
+#[tokio::test]
+async fn reinserts_lost_redacted_thinking_block() {
+    let store = ThinkingRepairStore::new();
+    let redacted = ContentBlock::RedactedThinking {
+        data: "encrypted-blob".to_string(),
+    };
+    store
+        .commit("ns1", "msg_1", vec![redacted.clone(), tool_use("toolu_1")])
+        .await;
+
+    // Client replay is missing the redacted_thinking block entirely
+    // (Claude Code doesn't persist it to JSONL).
+    let mut req = req_with_last_assistant(vec![tool_use("toolu_1")]);
+    let result = repair_request(&store, "ns1", &mut req).await;
+
+    let msg = result.unwrap();
+    assert!(msg.contains("reinserted"), "got: {msg}");
+    let blocks = last_blocks(&req);
+    assert_eq!(blocks.len(), 2);
+    assert!(
+        matches!(&blocks[0], ContentBlock::RedactedThinking { data } if data == "encrypted-blob")
+    );
+}
+
+#[tokio::test]
+async fn surplus_current_nonthinking_block_disables_reinsert() {
+    // rec has [thinking, tool_use_1]; current turn replays tool_use_1
+    // AND adds an extra tool_use_2 that was never recorded, while also
+    // dropping the thinking block. Non-thinking counts don't line up
+    // (2 vs. 1), so positional reinsertion would either drop toolu_2 or
+    // misalign it against rec -- must fail open instead.
+    let store = ThinkingRepairStore::new();
+    store
+        .commit(
+            "ns1",
+            "msg_1",
+            vec![thinking("hmm", "sig_1"), tool_use("toolu_1")],
+        )
+        .await;
+
+    let mut req = req_with_last_assistant(vec![tool_use("toolu_1"), tool_use("toolu_2")]);
+    let result = repair_request(&store, "ns1", &mut req).await;
+    let blocks = last_blocks(&req);
+
+    assert!(result.is_none(), "count mismatch should fail open");
+    assert_eq!(
+        blocks.len(),
+        2,
+        "current turn's blocks must be preserved as-is"
+    );
+    assert!(
+        blocks
+            .iter()
+            .any(|b| matches!(b, ContentBlock::ToolUse { id, .. } if id == "toolu_2")),
+        "toolu_2 must not be dropped"
+    );
+}
+
+#[tokio::test]
+async fn missing_current_nonthinking_block_disables_reinsert() {
+    // rec has [thinking, tool_use_1, tool_use_2]; current turn only
+    // replays tool_use_1 (dropped tool_use_2 AND the thinking block).
+    // Non-thinking counts don't line up (1 vs. 2), so reinserting
+    // positionally would resurrect stale toolu_2 -- must fail open.
+    let store = ThinkingRepairStore::new();
+    store
+        .commit(
+            "ns1",
+            "msg_1",
+            vec![
+                thinking("hmm", "sig_1"),
+                tool_use("toolu_1"),
+                tool_use("toolu_2"),
+            ],
+        )
+        .await;
+
+    let mut req = req_with_last_assistant(vec![tool_use("toolu_1")]);
+    let result = repair_request(&store, "ns1", &mut req).await;
+    let blocks = last_blocks(&req);
+
+    assert!(result.is_none(), "count mismatch should fail open");
+    assert_eq!(
+        blocks.len(),
+        1,
+        "current turn's blocks must be preserved as-is"
+    );
+    assert!(
+        !blocks
+            .iter()
+            .any(|b| matches!(b, ContentBlock::ToolUse { id, .. } if id == "toolu_2")),
+        "stale recorded toolu_2 must not be reinserted"
+    );
+}
+
+#[tokio::test]
+async fn messages_before_last_assistant_are_never_touched() {
+    let store = ThinkingRepairStore::new();
+    store
+        .commit("ns1", "msg_2", vec![thinking("turn 2", "sig_2")])
+        .await;
+
+    let mut req = MessageCreateRequest {
+        model: "claude-opus-4-5".to_string(),
+        max_tokens: 1024,
+        messages: vec![
+            InputMessage {
+                role: Role::User,
+                content: Content::Text("first".to_string()),
+            },
+            InputMessage {
+                role: Role::Assistant,
+                // Deliberately mutated/corrupt — must be left alone
+                // because it is NOT the last assistant message.
+                content: Content::Blocks(vec![thinking("mutated turn 1", "sig_1_unknown")]),
+            },
+            InputMessage {
+                role: Role::User,
+                content: Content::Text("second".to_string()),
+            },
+            InputMessage {
+                role: Role::Assistant,
+                content: Content::Blocks(vec![thinking("turn 2", "sig_2")]),
+            },
+        ],
+        system: None,
+        temperature: None,
+        top_p: None,
+        top_k: None,
+        stop_sequences: None,
+        tools: None,
+        tool_choice: None,
+        metadata: None,
+        thinking: None,
+        stream: None,
+        extra: serde_json::Map::new(),
+    };
+
+    repair_request(&store, "ns1", &mut req).await;
+
+    match &req.messages[1].content {
+        Content::Blocks(b) => match &b[0] {
+            ContentBlock::Thinking {
+                thinking,
+                signature,
+            } => {
+                assert_eq!(thinking, "mutated turn 1");
+                assert_eq!(signature.as_deref(), Some("sig_1_unknown"));
+            }
+            other => panic!("unexpected block: {other:?}"),
+        },
+        Content::Text(_) => panic!("expected blocks"),
+    }
+}
diff --git a/crates/proxy/src/tools/execution/guardrail.rs b/crates/proxy/src/tools/execution/guardrail.rs
new file mode 100644
index 0000000..828d025
--- /dev/null
+++ b/crates/proxy/src/tools/execution/guardrail.rs
@@ -0,0 +1,131 @@
+//! Tool guardrail logic: partition tool calls into auto-execute / pass-through /
+//! denied buckets, build denial + nudge results, and the combined
+//! `partition_and_nudge` shared by both tool loops.
+
+use std::collections::HashSet;
+
+use super::{ToolCall, ToolResult};
+use crate::tools::policy::{PolicyAction, ToolExecutionPolicy};
+use crate::tools::registry::ToolRegistry;
+use crate::tools::trace::ToolOutcome;
+use crate::tools::{evaluate_tool_guardrails, ToolGuardrailNudge, ToolGuardrailRequestState};
+
+/// Partition tool calls into three categories.
+///
+/// A tool call is only eligible for server-side policy evaluation when the
+/// proxy advertised that exact tool name for this request. This prevents
+/// client-supplied tool schemas from reusing privileged server tool names.
+///
+/// - `auto_execute`: proxy-advertised AND in registry AND policy says Allow
+/// - `pass_through`: not proxy-advertised, not in registry, OR policy says PassThrough
+/// - `denied`: proxy-advertised AND policy says Deny
+pub fn partition_tool_calls<'a>(
+    tool_calls: &'a [ToolCall],
+    registry: &ToolRegistry,
+    policy: &ToolExecutionPolicy,
+    server_advertised_tool_names: &HashSet<String>,
+) -> (Vec<&'a ToolCall>, Vec<&'a ToolCall>, Vec<&'a ToolCall>) {
+    let mut auto_execute = Vec::new();
+    let mut pass_through = Vec::new();
+    let mut denied = Vec::new();
+
+    for call in tool_calls {
+        if !server_advertised_tool_names.contains(&call.name) {
+            pass_through.push(call);
+            continue;
+        }
+
+        match policy.resolve(&call.name) {
+            PolicyAction::Deny => denied.push(call),
+            PolicyAction::Allow if registry.contains(&call.name) => auto_execute.push(call),
+            // Allow but not in registry, or PassThrough
+            _ => pass_through.push(call),
+        }
+    }
+
+    (auto_execute, pass_through, denied)
+}
+
+/// Build error ToolResults for denied tool calls.
+pub fn denied_tool_results(denied: &[&ToolCall]) -> Vec<ToolResult> {
+    denied
+        .iter()
+        .map(|call| ToolResult {
+            tool_use_id: call.id.clone(),
+            tool_name: call.name.clone(),
+            outcome: ToolOutcome::Error {
+                message: format!("Tool '{}' is denied by policy", call.name),
+                retryable: false,
+            },
+        })
+        .collect()
+}
+
+/// Build retryable ToolResults for guardrail nudges.
+///
+/// Only the tool calls a nudge targets get a result; every other call in the
+/// batch is left for normal execution/pass-through. `calls` supplies the tool
+/// name for each nudged `call_id`.
+pub fn guardrail_nudge_results(
+    calls: &[ToolCall],
+    nudges: &[ToolGuardrailNudge],
+) -> Vec<ToolResult> {
+    nudges
+        .iter()
+        .filter_map(|nudge| {
+            let call = calls.iter().find(|c| c.id == nudge.call_id)?;
+            Some(ToolResult {
+                tool_use_id: call.id.clone(),
+                tool_name: call.name.clone(),
+                outcome: ToolOutcome::Error {
+                    message: format!("[ToolCallPolicyNudge] {}", nudge.content),
+                    retryable: true,
+                },
+            })
+        })
+        .collect()
+}
+
+/// Partition `tool_calls`, then evaluate guardrail nudges only against the
+/// calls that would otherwise be auto-executed by this proxy.
+///
+/// A nudge target must be something the proxy actually owns: guardrails are
+/// an advisory retry mechanism that answers the model on the proxy's behalf
+/// (a synthetic tool_result + a follow-up backend call), so applying it to a
+/// pass-through call (not in the registry / not proxy-advertised, meaning the
+/// *caller* owns and expects to execute it -- e.g. a Claude-Code-style client's
+/// own Bash/Grep/Edit/Write tool) would silently swallow that call's real
+/// tool_use turn instead of returning it to the caller. Restricting
+/// `evaluate_tool_guardrails` to the post-partition `auto_exec` set keeps
+/// nudges impossible to apply to anything the proxy doesn't own, and
+/// `denied` never needs nudge-filtering since nudges only ever originate
+/// from `auto_exec` now (the two sets are disjoint by construction).
+///
+/// Shared by the streaming and non-streaming tool loops so a fix here can't
+/// drift between the two copies.
+pub fn partition_and_nudge<'a>(
+    tool_calls: &'a [ToolCall],
+    tool_specs: &[anyllm_translate::anthropic::Tool],
+    registry: &ToolRegistry,
+    policy: &ToolExecutionPolicy,
+    server_advertised_tool_names: &HashSet<String>,
+    guardrails: &crate::tools::ToolGuardrailConfig,
+    guardrail_state: &mut ToolGuardrailRequestState,
+) -> (Vec<&'a ToolCall>, Vec<ToolResult>, Vec<ToolResult>) {
+    let (auto_exec, _pass_through, denied) =
+        partition_tool_calls(tool_calls, registry, policy, server_advertised_tool_names);
+
+    let auto_exec_owned: Vec<ToolCall> = auto_exec.iter().map(|c| (*c).clone()).collect();
+    let nudges =
+        evaluate_tool_guardrails(&auto_exec_owned, tool_specs, guardrails, guardrail_state);
+    let nudged_ids: HashSet<&str> = nudges.iter().map(|n| n.call_id.as_str()).collect();
+    let nudge_results = guardrail_nudge_results(&auto_exec_owned, &nudges);
+
+    let auto_exec: Vec<&ToolCall> = auto_exec
+        .into_iter()
+        .filter(|c| !nudged_ids.contains(c.id.as_str()))
+        .collect();
+    let denied_results = denied_tool_results(&denied);
+
+    (auto_exec, nudge_results, denied_results)
+}
diff --git a/crates/proxy/src/tools/execution/helpers.rs b/crates/proxy/src/tools/execution/helpers.rs
new file mode 100644
index 0000000..437c8f1
--- /dev/null
+++ b/crates/proxy/src/tools/execution/helpers.rs
@@ -0,0 +1,63 @@
+//! Parsers/converters between Anthropic message types and `ToolCall`/`ToolResult`.
+
+use super::{ToolCall, ToolResult};
+use crate::tools::trace::ToolOutcome;
+
+/// Extract ToolCall structs from an Anthropic MessageResponse.
+pub fn extract_tool_calls(
+    response: &anyllm_translate::anthropic::MessageResponse,
+) -> Vec<ToolCall> {
+    response
+        .content
+        .iter()
+        .filter_map(|block| {
+            if let anyllm_translate::anthropic::ContentBlock::ToolUse { id, name, input } = block {
+                Some(ToolCall {
+                    id: id.clone(),
+                    name: name.clone(),
+                    input: input.clone(),
+                })
+            } else {
+                None
+            }
+        })
+        .collect()
+}
+
+/// Convert tool execution results to an Anthropic user message with ToolResult blocks.
+pub fn tool_results_to_user_message(
+    results: &[ToolResult],
+) -> anyllm_translate::anthropic::InputMessage {
+    let blocks: Vec<anyllm_translate::anthropic::ContentBlock> = results
+        .iter()
+        .map(|r| {
+            let (content_text, is_error) = match &r.outcome {
+                ToolOutcome::Success(v) => (serde_json::to_string(v).unwrap_or_default(), false),
+                ToolOutcome::Error { message, .. } => (message.clone(), true),
+                ToolOutcome::Timeout => ("Tool execution timed out".to_string(), true),
+            };
+            anyllm_translate::anthropic::ContentBlock::ToolResult {
+                tool_use_id: r.tool_use_id.clone(),
+                content: Some(anyllm_translate::anthropic::ToolResultContent::Text(
+                    content_text,
+                )),
+                is_error: Some(is_error),
+            }
+        })
+        .collect();
+
+    anyllm_translate::anthropic::InputMessage {
+        role: anyllm_translate::anthropic::Role::User,
+        content: anyllm_translate::anthropic::Content::Blocks(blocks),
+    }
+}
+
+/// Convert a MessageResponse's content into an assistant InputMessage for conversation history.
+pub fn response_to_assistant_message(
+    response: &anyllm_translate::anthropic::MessageResponse,
+) -> anyllm_translate::anthropic::InputMessage {
+    anyllm_translate::anthropic::InputMessage {
+        role: anyllm_translate::anthropic::Role::Assistant,
+        content: anyllm_translate::anthropic::Content::Blocks(response.content.clone()),
+    }
+}
diff --git a/crates/proxy/src/tools/execution/mod.rs b/crates/proxy/src/tools/execution/mod.rs
index ba4e413..d5aaad8 100644
--- a/crates/proxy/src/tools/execution/mod.rs
+++ b/crates/proxy/src/tools/execution/mod.rs
@@ -1,14 +1,28 @@
-use std::collections::HashSet;
-use std::sync::Arc;
-use std::time::{Duration, Instant};
+//! Tool execution: the shared types plus the guardrail, runner, and helper
+//! submodules that implement partitioning, parallel execution, and the bounded
+//! non-streaming tool loop.
+
+use std::time::Duration;
 
 use serde_json::Value;
-use tokio::task::JoinSet;
 
-use crate::tools::policy::{PolicyAction, ToolExecutionPolicy};
-use crate::tools::registry::ToolRegistry;
 use crate::tools::trace::ToolOutcome;
-use crate::tools::{evaluate_tool_guardrails, ToolGuardrailNudge, ToolGuardrailRequestState};
+
+mod guardrail;
+mod helpers;
+mod runner;
+
+pub use guardrail::{
+    denied_tool_results, guardrail_nudge_results, partition_and_nudge, partition_tool_calls,
+};
+pub use helpers::{
+    extract_tool_calls, response_to_assistant_message, tool_results_to_user_message,
+};
+pub use runner::{execute_tool_calls, execute_tool_calls_timed, is_duplicate, maybe_execute_tools};
+
+/// Engine state needed by `maybe_execute_tools`. Re-exported alias so callers
+/// do not need to reach into `server::state`.
+pub use crate::server::state::ToolEngineState;
 
 /// A tool call extracted from an LLM response.
 #[derive(Debug, Clone)]
@@ -46,555 +60,5 @@ impl Default for LoopConfig {
     }
 }
 
-/// Partition tool calls into three categories.
-///
-/// A tool call is only eligible for server-side policy evaluation when the
-/// proxy advertised that exact tool name for this request. This prevents
-/// client-supplied tool schemas from reusing privileged server tool names.
-///
-/// - `auto_execute`: proxy-advertised AND in registry AND policy says Allow
-/// - `pass_through`: not proxy-advertised, not in registry, OR policy says PassThrough
-/// - `denied`: proxy-advertised AND policy says Deny
-pub fn partition_tool_calls<'a>(
-    tool_calls: &'a [ToolCall],
-    registry: &ToolRegistry,
-    policy: &ToolExecutionPolicy,
-    server_advertised_tool_names: &HashSet<String>,
-) -> (Vec<&'a ToolCall>, Vec<&'a ToolCall>, Vec<&'a ToolCall>) {
-    let mut auto_execute = Vec::new();
-    let mut pass_through = Vec::new();
-    let mut denied = Vec::new();
-
-    for call in tool_calls {
-        if !server_advertised_tool_names.contains(&call.name) {
-            pass_through.push(call);
-            continue;
-        }
-
-        match policy.resolve(&call.name) {
-            PolicyAction::Deny => denied.push(call),
-            PolicyAction::Allow if registry.contains(&call.name) => auto_execute.push(call),
-            // Allow but not in registry, or PassThrough
-            _ => pass_through.push(call),
-        }
-    }
-
-    (auto_execute, pass_through, denied)
-}
-
-/// Build error ToolResults for denied tool calls.
-pub fn denied_tool_results(denied: &[&ToolCall]) -> Vec<ToolResult> {
-    denied
-        .iter()
-        .map(|call| ToolResult {
-            tool_use_id: call.id.clone(),
-            tool_name: call.name.clone(),
-            outcome: ToolOutcome::Error {
-                message: format!("Tool '{}' is denied by policy", call.name),
-                retryable: false,
-            },
-        })
-        .collect()
-}
-
-/// Build retryable ToolResults for guardrail nudges.
-///
-/// Only the tool calls a nudge targets get a result; every other call in the
-/// batch is left for normal execution/pass-through. `calls` supplies the tool
-/// name for each nudged `call_id`.
-pub fn guardrail_nudge_results(
-    calls: &[ToolCall],
-    nudges: &[ToolGuardrailNudge],
-) -> Vec<ToolResult> {
-    nudges
-        .iter()
-        .filter_map(|nudge| {
-            let call = calls.iter().find(|c| c.id == nudge.call_id)?;
-            Some(ToolResult {
-                tool_use_id: call.id.clone(),
-                tool_name: call.name.clone(),
-                outcome: ToolOutcome::Error {
-                    message: format!("[ToolCallPolicyNudge] {}", nudge.content),
-                    retryable: true,
-                },
-            })
-        })
-        .collect()
-}
-
-/// Partition `tool_calls`, then evaluate guardrail nudges only against the
-/// calls that would otherwise be auto-executed by this proxy.
-///
-/// A nudge target must be something the proxy actually owns: guardrails are
-/// an advisory retry mechanism that answers the model on the proxy's behalf
-/// (a synthetic tool_result + a follow-up backend call), so applying it to a
-/// pass-through call (not in the registry / not proxy-advertised, meaning the
-/// *caller* owns and expects to execute it — e.g. a Claude-Code-style client's
-/// own Bash/Grep/Edit/Write tool) would silently swallow that call's real
-/// tool_use turn instead of returning it to the caller. Restricting
-/// `evaluate_tool_guardrails` to the post-partition `auto_exec` set keeps
-/// nudges impossible to apply to anything the proxy doesn't own, and
-/// `denied` never needs nudge-filtering since nudges only ever originate
-/// from `auto_exec` now (the two sets are disjoint by construction).
-///
-/// Shared by the streaming and non-streaming tool loops so a fix here can't
-/// drift between the two copies.
-pub fn partition_and_nudge<'a>(
-    tool_calls: &'a [ToolCall],
-    tool_specs: &[anyllm_translate::anthropic::Tool],
-    registry: &ToolRegistry,
-    policy: &ToolExecutionPolicy,
-    server_advertised_tool_names: &HashSet<String>,
-    guardrails: &crate::tools::ToolGuardrailConfig,
-    guardrail_state: &mut ToolGuardrailRequestState,
-) -> (Vec<&'a ToolCall>, Vec<ToolResult>, Vec<ToolResult>) {
-    let (auto_exec, _pass_through, denied) =
-        partition_tool_calls(tool_calls, registry, policy, server_advertised_tool_names);
-
-    let auto_exec_owned: Vec<ToolCall> = auto_exec.iter().map(|c| (*c).clone()).collect();
-    let nudges =
-        evaluate_tool_guardrails(&auto_exec_owned, tool_specs, guardrails, guardrail_state);
-    let nudged_ids: HashSet<&str> = nudges.iter().map(|n| n.call_id.as_str()).collect();
-    let nudge_results = guardrail_nudge_results(&auto_exec_owned, &nudges);
-
-    let auto_exec: Vec<&ToolCall> = auto_exec
-        .into_iter()
-        .filter(|c| !nudged_ids.contains(c.id.as_str()))
-        .collect();
-    let denied_results = denied_tool_results(&denied);
-
-    (auto_exec, nudge_results, denied_results)
-}
-
-/// Execute tool calls in parallel, respecting per-tool timeouts.
-///
-/// Results are returned in the same order as `calls`.
-pub async fn execute_tool_calls(
-    calls: &[&ToolCall],
-    registry: Arc<ToolRegistry>,
-    policy: &ToolExecutionPolicy,
-    config: &LoopConfig,
-) -> Vec<ToolResult> {
-    let capped = &calls[..calls.len().min(config.max_tool_calls_per_turn)];
-
-    // Collect (original_index, ToolCall) to restore order after parallel execution.
-    let indexed: Vec<(usize, &ToolCall)> = capped.iter().copied().enumerate().collect();
-
-    let mut join_set: JoinSet<(usize, ToolResult)> = JoinSet::new();
-
-    for (idx, call) in indexed {
-        let timeout = policy
-            .find_rule(&call.name)
-            .and_then(|r| r.timeout)
-            .unwrap_or(config.tool_timeout);
-
-        let registry = Arc::clone(&registry);
-        let id = call.id.clone();
-        let name = call.name.clone();
-        let input = call.input.clone();
-
-        join_set.spawn(async move {
-            let result =
-                tokio::time::timeout(timeout, execute_single(&registry, &name, input)).await;
-
-            let outcome = match result {
-                Ok(Ok(value)) => ToolOutcome::Success(value),
-                Ok(Err(msg)) => ToolOutcome::Error {
-                    message: msg,
-                    retryable: false,
-                },
-                Err(_elapsed) => ToolOutcome::Timeout,
-            };
-
-            (
-                idx,
-                ToolResult {
-                    tool_use_id: id,
-                    tool_name: name,
-                    outcome,
-                },
-            )
-        });
-    }
-
-    let mut collected: Vec<(usize, ToolResult)> = Vec::with_capacity(capped.len());
-    while let Some(res) = join_set.join_next().await {
-        match res {
-            Ok(pair) => collected.push(pair),
-            Err(e) => {
-                // JoinError means the task panicked; treat as an error outcome.
-                // We don't have the index here, so we skip (shouldn't happen in practice).
-                tracing::error!("tool execution task panicked: {e}");
-            }
-        }
-    }
-
-    collected.sort_by_key(|(idx, _)| *idx);
-    collected.into_iter().map(|(_, r)| r).collect()
-}
-
-/// Check whether two slices of ToolCall represent the same logical calls.
-///
-/// Same length, same multiset of (name, input) pairs. IDs are ignored.
-pub fn is_duplicate(a: &[ToolCall], b: &[ToolCall]) -> bool {
-    if a.len() != b.len() {
-        return false;
-    }
-
-    let mut a_pairs: Vec<(&str, &Value)> = a.iter().map(|c| (c.name.as_str(), &c.input)).collect();
-    let mut b_pairs: Vec<(&str, &Value)> = b.iter().map(|c| (c.name.as_str(), &c.input)).collect();
-
-    // Sort by name so comparison is order-independent.
-    a_pairs.sort_by_key(|(name, _)| *name);
-    b_pairs.sort_by_key(|(name, _)| *name);
-
-    a_pairs == b_pairs
-}
-
-/// Execute a single tool by name, looking it up in the registry.
-async fn execute_single(
-    registry: &ToolRegistry,
-    tool_name: &str,
-    input: Value,
-) -> Result<Value, String> {
-    match registry.get(tool_name) {
-        Some(tool) => tool.execute(input).await,
-        None => Err(format!("tool '{}' not found in registry", tool_name)),
-    }
-}
-
-// ---------------------------------------------------------------------------
-// Helper functions for extracting tool calls and building follow-up messages
-// ---------------------------------------------------------------------------
-
-/// Extract ToolCall structs from an Anthropic MessageResponse.
-pub fn extract_tool_calls(
-    response: &anyllm_translate::anthropic::MessageResponse,
-) -> Vec<ToolCall> {
-    response
-        .content
-        .iter()
-        .filter_map(|block| {
-            if let anyllm_translate::anthropic::ContentBlock::ToolUse { id, name, input } = block {
-                Some(ToolCall {
-                    id: id.clone(),
-                    name: name.clone(),
-                    input: input.clone(),
-                })
-            } else {
-                None
-            }
-        })
-        .collect()
-}
-
-/// Convert tool execution results to an Anthropic user message with ToolResult blocks.
-pub fn tool_results_to_user_message(
-    results: &[ToolResult],
-) -> anyllm_translate::anthropic::InputMessage {
-    let blocks: Vec<anyllm_translate::anthropic::ContentBlock> = results
-        .iter()
-        .map(|r| {
-            let (content_text, is_error) = match &r.outcome {
-                ToolOutcome::Success(v) => (serde_json::to_string(v).unwrap_or_default(), false),
-                ToolOutcome::Error { message, .. } => (message.clone(), true),
-                ToolOutcome::Timeout => ("Tool execution timed out".to_string(), true),
-            };
-            anyllm_translate::anthropic::ContentBlock::ToolResult {
-                tool_use_id: r.tool_use_id.clone(),
-                content: Some(anyllm_translate::anthropic::ToolResultContent::Text(
-                    content_text,
-                )),
-                is_error: Some(is_error),
-            }
-        })
-        .collect();
-
-    anyllm_translate::anthropic::InputMessage {
-        role: anyllm_translate::anthropic::Role::User,
-        content: anyllm_translate::anthropic::Content::Blocks(blocks),
-    }
-}
-
-/// Convert a MessageResponse's content into an assistant InputMessage for conversation history.
-pub fn response_to_assistant_message(
-    response: &anyllm_translate::anthropic::MessageResponse,
-) -> anyllm_translate::anthropic::InputMessage {
-    anyllm_translate::anthropic::InputMessage {
-        role: anyllm_translate::anthropic::Role::Assistant,
-        content: anyllm_translate::anthropic::Content::Blocks(response.content.clone()),
-    }
-}
-
-// ---------------------------------------------------------------------------
-// Timing wrapper used in the execution loop (available to callers)
-// ---------------------------------------------------------------------------
-
-/// Run `execute_tool_calls` and record wall-clock duration per call.
-/// Returns (results, elapsed_per_call). Exposed for loop-level tracing.
-pub async fn execute_tool_calls_timed(
-    calls: &[&ToolCall],
-    registry: Arc<ToolRegistry>,
-    policy: &ToolExecutionPolicy,
-    config: &LoopConfig,
-) -> (Vec<ToolResult>, Duration) {
-    let start = Instant::now();
-    let results = execute_tool_calls(calls, registry, policy, config).await;
-    (results, start.elapsed())
-}
-
-// ---------------------------------------------------------------------------
-// Centralized bounded tool-execution loop for non-streaming requests
-// ---------------------------------------------------------------------------
-
-use crate::tools::trace::{IterationTrace, LoopTrace, TerminationReason, ToolCallTrace};
-
-/// Engine state needed by `maybe_execute_tools`. Re-exported alias so callers
-/// do not need to reach into `server::routes`.
-pub use crate::server::state::ToolEngineState;
-
-/// Process an LLM response for tool execution. If auto-executable tool calls
-/// are found, executes them and makes follow-up backend calls in a bounded loop.
-///
-/// Returns the final response (original if no tools were auto-executed) and a
-/// `LoopTrace` recording what happened.
-///
-/// `backend_call` is a closure the caller provides. It takes a
-/// `MessageCreateRequest` and returns the translated `MessageResponse`.
-/// This keeps the loop backend-agnostic: the handler knows how to translate
-/// and call its specific backend; this function only knows about Anthropic types.
-///
-/// `guardrails` is the effective guardrail config for this request (the
-/// runtime-tunable override applied on top of `engine.guardrails`, the
-/// static per-process preset -- see `crate::tools::resolve_runtime_guardrails`
-/// and `AppState::effective_tool_guardrails`). Callers that don't need the
-/// runtime override can pass `&engine.guardrails` directly.
-pub async fn maybe_execute_tools<F, Fut>(
-    engine: &ToolEngineState,
-    original_req: &anyllm_translate::anthropic::MessageCreateRequest,
-    server_advertised_tool_names: &HashSet<String>,
-    initial_response: anyllm_translate::anthropic::MessageResponse,
-    guardrails: &crate::tools::ToolGuardrailConfig,
-    backend_call: F,
-) -> (anyllm_translate::anthropic::MessageResponse, LoopTrace)
-where
-    F: Fn(anyllm_translate::anthropic::MessageCreateRequest) -> Fut,
-    Fut: std::future::Future<Output = Result<anyllm_translate::anthropic::MessageResponse, String>>,
-{
-    let loop_start = Instant::now();
-    let mut iterations: Vec<IterationTrace> = Vec::new();
-    let mut current_response = initial_response;
-    let mut current_messages = original_req.messages.clone();
-    let mut prev_tool_calls: Option<Vec<ToolCall>> = None;
-    let mut guardrail_state = ToolGuardrailRequestState::new();
-
-    for _iteration in 0..engine.loop_config.max_iterations {
-        // Guard: total timeout
-        if loop_start.elapsed() > engine.loop_config.total_timeout {
-            return (
-                current_response,
-                LoopTrace {
-                    iterations,
-                    total_duration: loop_start.elapsed(),
-                    termination_reason: TerminationReason::Timeout,
-                },
-            );
-        }
-
-        let tool_calls = extract_tool_calls(&current_response);
-
-        // Advisory guardrails: each nudge targets one offending call and comes
-        // back as a retryable error result. Nudged calls are skipped this turn;
-        // every other call is partitioned and executed as usual. Each distinct
-        // decision nudges only once per request (across iterations), so a
-        // model that ignores a nudge and repeats the call lets it proceed
-        // instead of spinning the loop to max_iterations. Nudges only ever
-        // apply to calls this proxy would actually execute -- see
-        // `partition_and_nudge`'s doc comment.
-        let (auto_exec, nudge_results, denied_results) = partition_and_nudge(
-            &tool_calls,
-            original_req.tools.as_deref().unwrap_or(&[]),
-            &engine.registry,
-            &engine.policy,
-            server_advertised_tool_names,
-            guardrails,
-            &mut guardrail_state,
-        );
-
-        if auto_exec.is_empty() && denied_results.is_empty() && nudge_results.is_empty() {
-            return (
-                current_response,
-                LoopTrace {
-                    iterations,
-                    total_duration: loop_start.elapsed(),
-                    termination_reason: TerminationReason::NoToolCalls,
-                },
-            );
-        }
-
-        // If there is nothing to execute (only nudges and/or denials), send the
-        // advisory/error results back to the LLM immediately without running a tool.
-        if auto_exec.is_empty() {
-            let mut results = nudge_results;
-            results.extend(denied_results);
-            current_messages.push(response_to_assistant_message(&current_response));
-            current_messages.push(tool_results_to_user_message(&results));
-            let mut follow_up_req = original_req.clone();
-            follow_up_req.messages = current_messages.clone();
-            let llm_start = Instant::now();
-            let traces: Vec<ToolCallTrace> = results
-                .iter()
-                .map(|r| ToolCallTrace {
-                    tool_name: r.tool_name.clone(),
-                    duration: Duration::ZERO,
-                    outcome: r.outcome.clone(),
-                })
-                .collect();
-            iterations.push(IterationTrace {
-                tool_calls: traces,
-                llm_latency: Duration::ZERO,
-            });
-            match backend_call(follow_up_req).await {
-                Ok(resp) => {
-                    if let Some(last) = iterations.last_mut() {
-                        last.llm_latency = llm_start.elapsed();
-                    }
-                    prev_tool_calls = None;
-                    current_response = resp;
-                    continue;
-                }
-                Err(e) => {
-                    tracing::warn!(error = %e, "follow-up backend call failed after nudge/deny");
-                    if let Some(last) = iterations.last_mut() {
-                        last.llm_latency = llm_start.elapsed();
-                    }
-                    return (
-                        current_response,
-                        LoopTrace {
-                            iterations,
-                            total_duration: loop_start.elapsed(),
-                            termination_reason: TerminationReason::NoToolCalls,
-                        },
-                    );
-                }
-            }
-        }
-
-        // Guard: duplicate detection (same tool calls as previous iteration)
-        let auto_calls: Vec<ToolCall> = auto_exec.iter().map(|c| (*c).clone()).collect();
-        if let Some(ref prev) = prev_tool_calls {
-            if is_duplicate(prev, &auto_calls) {
-                return (
-                    current_response,
-                    LoopTrace {
-                        iterations,
-                        total_duration: loop_start.elapsed(),
-                        termination_reason: TerminationReason::DuplicateDetected,
-                    },
-                );
-            }
-        }
-
-        // Execute auto-allowed tools in parallel
-        let exec_start = Instant::now();
-        let mut results = execute_tool_calls(
-            &auto_exec,
-            engine.registry.clone(),
-            &engine.policy,
-            &engine.loop_config,
-        )
-        .await;
-        let exec_duration = exec_start.elapsed();
-
-        // Append nudge + denied-tool error results so the LLM sees all outcomes.
-        results.extend(nudge_results);
-        results.extend(denied_results);
-
-        // Build per-tool traces
-        let tool_traces: Vec<ToolCallTrace> = results
-            .iter()
-            .map(|r| ToolCallTrace {
-                tool_name: r.tool_name.clone(),
-                duration: exec_duration,
-                outcome: r.outcome.clone(),
-            })
-            .collect();
-
-        // Guard: all tools failed (includes deny errors, which are non-retryable)
-        let all_failed = results
-            .iter()
-            .all(|r| !matches!(r.outcome, ToolOutcome::Success(_)));
-
-        iterations.push(IterationTrace {
-            tool_calls: tool_traces,
-            llm_latency: Duration::ZERO, // filled after backend call below
-        });
-
-        if all_failed {
-            return (
-                current_response,
-                LoopTrace {
-                    iterations,
-                    total_duration: loop_start.elapsed(),
-                    termination_reason: TerminationReason::AllToolsFailed,
-                },
-            );
-        }
-
-        // Build follow-up: append assistant response + tool results to conversation
-        current_messages.push(response_to_assistant_message(&current_response));
-        current_messages.push(tool_results_to_user_message(&results));
-
-        let mut follow_up_req = original_req.clone();
-        follow_up_req.messages = current_messages.clone();
-
-        // Call backend via caller-provided closure
-        let llm_start = Instant::now();
-        match backend_call(follow_up_req).await {
-            Ok(resp) => {
-                if let Some(last) = iterations.last_mut() {
-                    last.llm_latency = llm_start.elapsed();
-                }
-                tracing::info!(
-                    tools_executed = results.len(),
-                    iteration = _iteration + 1,
-                    "tool execution loop: iteration complete"
-                );
-                prev_tool_calls = Some(auto_calls);
-                current_response = resp;
-            }
-            Err(e) => {
-                tracing::warn!(
-                    error = %e,
-                    "follow-up backend call failed, returning last good response"
-                );
-                if let Some(last) = iterations.last_mut() {
-                    last.llm_latency = llm_start.elapsed();
-                }
-                return (
-                    current_response,
-                    LoopTrace {
-                        iterations,
-                        total_duration: loop_start.elapsed(),
-                        // Backend error is not a clean termination; closest match is NoToolCalls
-                        // since we are stopping the loop and returning what we have.
-                        termination_reason: TerminationReason::NoToolCalls,
-                    },
-                );
-            }
-        }
-    }
-
-    // Exhausted max_iterations
-    (
-        current_response,
-        LoopTrace {
-            iterations,
-            total_duration: loop_start.elapsed(),
-            termination_reason: TerminationReason::MaxIterations,
-        },
-    )
-}
-
 #[cfg(test)]
 mod tests;
diff --git a/crates/proxy/src/tools/execution/runner.rs b/crates/proxy/src/tools/execution/runner.rs
new file mode 100644
index 0000000..1127ccc
--- /dev/null
+++ b/crates/proxy/src/tools/execution/runner.rs
@@ -0,0 +1,373 @@
+//! Core async tool-execution runners and the centralized bounded tool loop
+//! for non-streaming requests.
+
+use std::collections::HashSet;
+use std::sync::Arc;
+use std::time::{Duration, Instant};
+
+use serde_json::Value;
+use tokio::task::JoinSet;
+
+use super::{
+    extract_tool_calls, partition_and_nudge, response_to_assistant_message,
+    tool_results_to_user_message, LoopConfig, ToolCall, ToolEngineState, ToolResult,
+};
+use crate::tools::policy::ToolExecutionPolicy;
+use crate::tools::registry::ToolRegistry;
+use crate::tools::trace::{
+    IterationTrace, LoopTrace, TerminationReason, ToolCallTrace, ToolOutcome,
+};
+use crate::tools::ToolGuardrailRequestState;
+
+/// Execute tool calls in parallel, respecting per-tool timeouts.
+///
+/// Results are returned in the same order as `calls`.
+pub async fn execute_tool_calls(
+    calls: &[&ToolCall],
+    registry: Arc<ToolRegistry>,
+    policy: &ToolExecutionPolicy,
+    config: &LoopConfig,
+) -> Vec<ToolResult> {
+    let capped = &calls[..calls.len().min(config.max_tool_calls_per_turn)];
+
+    // Collect (original_index, ToolCall) to restore order after parallel execution.
+    let indexed: Vec<(usize, &ToolCall)> = capped.iter().copied().enumerate().collect();
+
+    let mut join_set: JoinSet<(usize, ToolResult)> = JoinSet::new();
+
+    for (idx, call) in indexed {
+        let timeout = policy
+            .find_rule(&call.name)
+            .and_then(|r| r.timeout)
+            .unwrap_or(config.tool_timeout);
+
+        let registry = Arc::clone(&registry);
+        let id = call.id.clone();
+        let name = call.name.clone();
+        let input = call.input.clone();
+
+        join_set.spawn(async move {
+            let result =
+                tokio::time::timeout(timeout, execute_single(&registry, &name, input)).await;
+
+            let outcome = match result {
+                Ok(Ok(value)) => ToolOutcome::Success(value),
+                Ok(Err(msg)) => ToolOutcome::Error {
+                    message: msg,
+                    retryable: false,
+                },
+                Err(_elapsed) => ToolOutcome::Timeout,
+            };
+
+            (
+                idx,
+                ToolResult {
+                    tool_use_id: id,
+                    tool_name: name,
+                    outcome,
+                },
+            )
+        });
+    }
+
+    let mut collected: Vec<(usize, ToolResult)> = Vec::with_capacity(capped.len());
+    while let Some(res) = join_set.join_next().await {
+        match res {
+            Ok(pair) => collected.push(pair),
+            Err(e) => {
+                // JoinError means the task panicked; treat as an error outcome.
+                // We don't have the index here, so we skip (shouldn't happen in practice).
+                tracing::error!("tool execution task panicked: {e}");
+            }
+        }
+    }
+
+    collected.sort_by_key(|(idx, _)| *idx);
+    collected.into_iter().map(|(_, r)| r).collect()
+}
+
+/// Check whether two slices of ToolCall represent the same logical calls.
+///
+/// Same length, same multiset of (name, input) pairs. IDs are ignored.
+pub fn is_duplicate(a: &[ToolCall], b: &[ToolCall]) -> bool {
+    if a.len() != b.len() {
+        return false;
+    }
+
+    let mut a_pairs: Vec<(&str, &Value)> = a.iter().map(|c| (c.name.as_str(), &c.input)).collect();
+    let mut b_pairs: Vec<(&str, &Value)> = b.iter().map(|c| (c.name.as_str(), &c.input)).collect();
+
+    // Sort by name so comparison is order-independent.
+    a_pairs.sort_by_key(|(name, _)| *name);
+    b_pairs.sort_by_key(|(name, _)| *name);
+
+    a_pairs == b_pairs
+}
+
+/// Execute a single tool by name, looking it up in the registry.
+async fn execute_single(
+    registry: &ToolRegistry,
+    tool_name: &str,
+    input: Value,
+) -> Result<Value, String> {
+    match registry.get(tool_name) {
+        Some(tool) => tool.execute(input).await,
+        None => Err(format!("tool '{}' not found in registry", tool_name)),
+    }
+}
+
+/// Run `execute_tool_calls` and record wall-clock duration per call.
+/// Returns (results, elapsed_per_call). Exposed for loop-level tracing.
+pub async fn execute_tool_calls_timed(
+    calls: &[&ToolCall],
+    registry: Arc<ToolRegistry>,
+    policy: &ToolExecutionPolicy,
+    config: &LoopConfig,
+) -> (Vec<ToolResult>, Duration) {
+    let start = Instant::now();
+    let results = execute_tool_calls(calls, registry, policy, config).await;
+    (results, start.elapsed())
+}
+
+/// Process an LLM response for tool execution. If auto-executable tool calls
+/// are found, executes them and makes follow-up backend calls in a bounded loop.
+///
+/// Returns the final response (original if no tools were auto-executed) and a
+/// `LoopTrace` recording what happened.
+///
+/// `backend_call` is a closure the caller provides. It takes a
+/// `MessageCreateRequest` and returns the translated `MessageResponse`.
+/// This keeps the loop backend-agnostic: the handler knows how to translate
+/// and call its specific backend; this function only knows about Anthropic types.
+///
+/// `guardrails` is the effective guardrail config for this request (the
+/// runtime-tunable override applied on top of `engine.guardrails`, the
+/// static per-process preset -- see `crate::tools::resolve_runtime_guardrails`
+/// and `AppState::effective_tool_guardrails`). Callers that don't need the
+/// runtime override can pass `&engine.guardrails` directly.
+pub async fn maybe_execute_tools<F, Fut>(
+    engine: &ToolEngineState,
+    original_req: &anyllm_translate::anthropic::MessageCreateRequest,
+    server_advertised_tool_names: &HashSet<String>,
+    initial_response: anyllm_translate::anthropic::MessageResponse,
+    guardrails: &crate::tools::ToolGuardrailConfig,
+    backend_call: F,
+) -> (anyllm_translate::anthropic::MessageResponse, LoopTrace)
+where
+    F: Fn(anyllm_translate::anthropic::MessageCreateRequest) -> Fut,
+    Fut: std::future::Future<Output = Result<anyllm_translate::anthropic::MessageResponse, String>>,
+{
+    let loop_start = Instant::now();
+    let mut iterations: Vec<IterationTrace> = Vec::new();
+    let mut current_response = initial_response;
+    let mut current_messages = original_req.messages.clone();
+    let mut prev_tool_calls: Option<Vec<ToolCall>> = None;
+    let mut guardrail_state = ToolGuardrailRequestState::new();
+
+    for _iteration in 0..engine.loop_config.max_iterations {
+        // Guard: total timeout
+        if loop_start.elapsed() > engine.loop_config.total_timeout {
+            return (
+                current_response,
+                LoopTrace {
+                    iterations,
+                    total_duration: loop_start.elapsed(),
+                    termination_reason: TerminationReason::Timeout,
+                },
+            );
+        }
+
+        let tool_calls = extract_tool_calls(&current_response);
+
+        // Advisory guardrails: each nudge targets one offending call and comes
+        // back as a retryable error result. Nudged calls are skipped this turn;
+        // every other call is partitioned and executed as usual. Each distinct
+        // decision nudges only once per request (across iterations), so a
+        // model that ignores a nudge and repeats the call lets it proceed
+        // instead of spinning the loop to max_iterations. Nudges only ever
+        // apply to calls this proxy would actually execute -- see
+        // `partition_and_nudge`'s doc comment.
+        let (auto_exec, nudge_results, denied_results) = partition_and_nudge(
+            &tool_calls,
+            original_req.tools.as_deref().unwrap_or(&[]),
+            &engine.registry,
+            &engine.policy,
+            server_advertised_tool_names,
+            guardrails,
+            &mut guardrail_state,
+        );
+
+        if auto_exec.is_empty() && denied_results.is_empty() && nudge_results.is_empty() {
+            return (
+                current_response,
+                LoopTrace {
+                    iterations,
+                    total_duration: loop_start.elapsed(),
+                    termination_reason: TerminationReason::NoToolCalls,
+                },
+            );
+        }
+
+        // If there is nothing to execute (only nudges and/or denials), send the
+        // advisory/error results back to the LLM immediately without running a tool.
+        if auto_exec.is_empty() {
+            let mut results = nudge_results;
+            results.extend(denied_results);
+            current_messages.push(response_to_assistant_message(&current_response));
+            current_messages.push(tool_results_to_user_message(&results));
+            let mut follow_up_req = original_req.clone();
+            follow_up_req.messages = current_messages.clone();
+            let llm_start = Instant::now();
+            let traces: Vec<ToolCallTrace> = results
+                .iter()
+                .map(|r| ToolCallTrace {
+                    tool_name: r.tool_name.clone(),
+                    duration: Duration::ZERO,
+                    outcome: r.outcome.clone(),
+                })
+                .collect();
+            iterations.push(IterationTrace {
+                tool_calls: traces,
+                llm_latency: Duration::ZERO,
+            });
+            match backend_call(follow_up_req).await {
+                Ok(resp) => {
+                    if let Some(last) = iterations.last_mut() {
+                        last.llm_latency = llm_start.elapsed();
+                    }
+                    prev_tool_calls = None;
+                    current_response = resp;
+                    continue;
+                }
+                Err(e) => {
+                    tracing::warn!(error = %e, "follow-up backend call failed after nudge/deny");
+                    if let Some(last) = iterations.last_mut() {
+                        last.llm_latency = llm_start.elapsed();
+                    }
+                    return (
+                        current_response,
+                        LoopTrace {
+                            iterations,
+                            total_duration: loop_start.elapsed(),
+                            termination_reason: TerminationReason::NoToolCalls,
+                        },
+                    );
+                }
+            }
+        }
+
+        // Guard: duplicate detection (same tool calls as previous iteration)
+        let auto_calls: Vec<ToolCall> = auto_exec.iter().map(|c| (*c).clone()).collect();
+        if let Some(ref prev) = prev_tool_calls {
+            if is_duplicate(prev, &auto_calls) {
+                return (
+                    current_response,
+                    LoopTrace {
+                        iterations,
+                        total_duration: loop_start.elapsed(),
+                        termination_reason: TerminationReason::DuplicateDetected,
+                    },
+                );
+            }
+        }
+
+        // Execute auto-allowed tools in parallel
+        let exec_start = Instant::now();
+        let mut results = execute_tool_calls(
+            &auto_exec,
+            engine.registry.clone(),
+            &engine.policy,
+            &engine.loop_config,
+        )
+        .await;
+        let exec_duration = exec_start.elapsed();
+
+        // Append nudge + denied-tool error results so the LLM sees all outcomes.
+        results.extend(nudge_results);
+        results.extend(denied_results);
+
+        // Build per-tool traces
+        let tool_traces: Vec<ToolCallTrace> = results
+            .iter()
+            .map(|r| ToolCallTrace {
+                tool_name: r.tool_name.clone(),
+                duration: exec_duration,
+                outcome: r.outcome.clone(),
+            })
+            .collect();
+
+        // Guard: all tools failed (includes deny errors, which are non-retryable)
+        let all_failed = results
+            .iter()
+            .all(|r| !matches!(r.outcome, ToolOutcome::Success(_)));
+
+        iterations.push(IterationTrace {
+            tool_calls: tool_traces,
+            llm_latency: Duration::ZERO, // filled after backend call below
+        });
+
+        if all_failed {
+            return (
+                current_response,
+                LoopTrace {
+                    iterations,
+                    total_duration: loop_start.elapsed(),
+                    termination_reason: TerminationReason::AllToolsFailed,
+                },
+            );
+        }
+
+        // Build follow-up: append assistant response + tool results to conversation
+        current_messages.push(response_to_assistant_message(&current_response));
+        current_messages.push(tool_results_to_user_message(&results));
+
+        let mut follow_up_req = original_req.clone();
+        follow_up_req.messages = current_messages.clone();
+
+        // Call backend via caller-provided closure
+        let llm_start = Instant::now();
+        match backend_call(follow_up_req).await {
+            Ok(resp) => {
+                if let Some(last) = iterations.last_mut() {
+                    last.llm_latency = llm_start.elapsed();
+                }
+                tracing::info!(
+                    tools_executed = results.len(),
+                    iteration = _iteration + 1,
+                    "tool execution loop: iteration complete"
+                );
+                prev_tool_calls = Some(auto_calls);
+                current_response = resp;
+            }
+            Err(e) => {
+                tracing::warn!(
+                    error = %e,
+                    "follow-up backend call failed, returning last good response"
+                );
+                if let Some(last) = iterations.last_mut() {
+                    last.llm_latency = llm_start.elapsed();
+                }
+                return (
+                    current_response,
+                    LoopTrace {
+                        iterations,
+                        total_duration: loop_start.elapsed(),
+                        // Backend error is not a clean termination; closest match is NoToolCalls
+                        // since we are stopping the loop and returning what we have.
+                        termination_reason: TerminationReason::NoToolCalls,
+                    },
+                );
+            }
+        }
+    }
+
+    // Exhausted max_iterations
+    (
+        current_response,
+        LoopTrace {
+            iterations,
+            total_duration: loop_start.elapsed(),
+            termination_reason: TerminationReason::MaxIterations,
+        },
+    )
+}
diff --git a/crates/proxy/src/tools/execution/tests.rs b/crates/proxy/src/tools/execution/tests.rs
index 17afddc..09ff3a7 100644
--- a/crates/proxy/src/tools/execution/tests.rs
+++ b/crates/proxy/src/tools/execution/tests.rs
@@ -2,6 +2,7 @@ use super::*;
 use crate::tools::policy::{PolicyAction, PolicyRule, ToolExecutionPolicy};
 use crate::tools::registry::ToolRegistry;
 use serde_json::json;
+use std::collections::HashSet;
 use std::future::Future;
 use std::pin::Pin;
 use std::sync::Arc;
diff --git a/crates/proxy/src/tools/guardrails.rs b/crates/proxy/src/tools/guardrails.rs
index 908223e..7fda84d 100644
--- a/crates/proxy/src/tools/guardrails.rs
+++ b/crates/proxy/src/tools/guardrails.rs
@@ -6,9 +6,15 @@
 
 use crate::tools::execution::ToolCall;
 use anyllm_translate::anthropic::Tool;
-use serde_json::{Map, Value};
 use std::str::FromStr;
 
+mod lsp;
+mod quiet;
+#[cfg(test)]
+mod tests;
+mod utils;
+mod write_cap;
+
 /// Default maximum string payload size for write/edit policy nudges.
 pub const DEFAULT_MAX_WRITE_PAYLOAD_BYTES: usize = 64 * 1024;
 
@@ -207,7 +213,7 @@ pub fn evaluate_tool_guardrails(
     }
 
     let lsp_tools = if config.lsp_first {
-        available_lsp_tools(tool_specs)
+        lsp::available_lsp_tools(tool_specs)
     } else {
         Vec::new()
     };
@@ -216,18 +222,20 @@ pub fn evaluate_tool_guardrails(
     let mut nudged_fingerprints_this_batch: indexmap::IndexSet<String> = indexmap::IndexSet::new();
     for call in tool_calls {
         let candidate = (!lsp_tools.is_empty())
-            .then(|| lsp_first_nudge(call, &lsp_tools))
+            .then(|| lsp::lsp_first_nudge(call, &lsp_tools))
             .flatten()
             .or_else(|| {
                 config
                     .write_payload_caps
-                    .then(|| write_payload_cap_nudge(call, config.max_write_payload_bytes))
+                    .then(|| {
+                        write_cap::write_payload_cap_nudge(call, config.max_write_payload_bytes)
+                    })
                     .flatten()
             })
             .or_else(|| {
                 config
                     .quiet_commands
-                    .then(|| quiet_command_nudge(call))
+                    .then(|| quiet::quiet_command_nudge(call))
                     .flatten()
             });
 
@@ -246,515 +254,3 @@ pub fn evaluate_tool_guardrails(
 
     nudges
 }
-
-fn available_lsp_tools(tool_specs: &[Tool]) -> Vec<String> {
-    let supported = [
-        "find_definition",
-        "find_references",
-        "get_hover",
-        "document_symbols",
-        "workspace_symbols",
-    ];
-    tool_specs
-        .iter()
-        .filter(|tool| supported.contains(&tool.name.as_str()))
-        .map(|tool| tool.name.clone())
-        .collect()
-}
-
-fn lsp_first_nudge(call: &ToolCall, lsp_tools: &[String]) -> Option<ToolGuardrailNudge> {
-    let tool_name = call.name.to_ascii_lowercase();
-    let args = object_args(&call.input);
-    let symbol = if is_shell_tool(&tool_name) {
-        shell_grep_symbol(command_arg(args?)?)?
-    } else if is_grep_tool(&tool_name) {
-        string_arg(
-            args?,
-            &["symbol", "name", "pattern", "query", "regex", "needle"],
-        )
-        .and_then(symbol_from_search_value)?
-    } else if is_glob_tool(&tool_name) {
-        string_arg(args?, &["pattern", "query", "glob"]).and_then(symbol_from_search_value)?
-    } else {
-        return None;
-    };
-
-    let tools = lsp_tools.join(", ");
-    let fingerprint = format!("lsp_first:{}:{symbol}", call.name);
-    Some(ToolGuardrailNudge {
-        call_id: call.id.clone(),
-        kind: "lsp_first",
-        content: format!(
-            "Use available LSP tools for symbol lookup instead of grep/glob/shell search. Available LSP tools: {tools}. Retry with the best matching LSP tool for `{symbol}`."
-        ),
-        fingerprint,
-    })
-}
-
-fn quiet_command_nudge(call: &ToolCall) -> Option<ToolGuardrailNudge> {
-    let tool_name = call.name.to_ascii_lowercase();
-    if !is_shell_tool(&tool_name) {
-        return None;
-    }
-    let command = command_arg(object_args(&call.input)?)?.trim();
-    let suggestion = quiet_command_suggestion(command)?;
-    let fingerprint = format!("quiet:{}:{command}:{suggestion}", call.name);
-    Some(ToolGuardrailNudge {
-        call_id: call.id.clone(),
-        kind: "quiet_command",
-        content: format!(
-            "The requested shell command is likely to produce noisy output. Prefer `{suggestion}`. Repeat the original command only if verbose output is required."
-        ),
-        fingerprint,
-    })
-}
-
-fn write_payload_cap_nudge(call: &ToolCall, max_bytes: usize) -> Option<ToolGuardrailNudge> {
-    // A cap of 0 disables the nudge rather than firing on every non-empty write.
-    if max_bytes == 0 {
-        return None;
-    }
-    let tool_name = call.name.to_ascii_lowercase();
-    if !is_write_or_edit_tool(&tool_name) {
-        return None;
-    }
-    let bytes = object_args(&call.input)
-        .map(write_payload_bytes)
-        .unwrap_or(0);
-    if bytes <= max_bytes {
-        return None;
-    }
-    Some(ToolGuardrailNudge {
-        call_id: call.id.clone(),
-        kind: "write_payload_cap",
-        content: format!(
-            "The requested write/edit payload is too large for this proxy policy ({bytes} bytes > {max_bytes} bytes). Retry with a smaller targeted edit or split the change."
-        ),
-        // Include a hash of the actual payload, not just its byte length, so
-        // two unrelated oversized writes that happen to be the same size
-        // (e.g. same-size templated files) don't collide and suppress each
-        // other's nudge. Identical repeated calls (same target, same
-        // content) still dedupe as intended.
-        fingerprint: format!(
-            "write_payload_cap:{}:{:x}:{bytes}:{max_bytes}",
-            call.name,
-            payload_content_hash(&call.input)
-        ),
-    })
-}
-
-fn payload_content_hash(value: &Value) -> u64 {
-    use std::hash::{Hash, Hasher};
-    let mut hasher = std::collections::hash_map::DefaultHasher::new();
-    value.to_string().hash(&mut hasher);
-    hasher.finish()
-}
-
-fn is_shell_tool(name: &str) -> bool {
-    matches!(
-        name,
-        "bash" | "shell" | "run_command" | "execute_command" | "terminal" | "exec" | "execute_bash"
-    )
-}
-
-fn is_grep_tool(name: &str) -> bool {
-    matches!(name, "grep" | "rg" | "ripgrep" | "st")
-}
-
-fn is_glob_tool(name: &str) -> bool {
-    matches!(name, "glob" | "find_files" | "file_glob")
-}
-
-fn is_write_or_edit_tool(name: &str) -> bool {
-    matches!(
-        name,
-        "write"
-            | "write_file"
-            | "edit"
-            | "edit_file"
-            | "replace"
-            | "apply_patch"
-            | "create_file"
-            | "update_file"
-    )
-}
-
-fn object_args(value: &Value) -> Option<&Map<String, Value>> {
-    value.as_object()
-}
-
-fn command_arg(args: &Map<String, Value>) -> Option<&str> {
-    string_arg(args, &["command", "cmd", "shell_command", "input"])
-}
-
-fn string_arg<'a>(args: &'a Map<String, Value>, keys: &[&str]) -> Option<&'a str> {
-    // Only the named keys, in order. Do NOT fall back to an arbitrary string
-    // value: that would let an unrelated field be misread as the search symbol
-    // or command for an advisory nudge.
-    keys.iter()
-        .find_map(|key| args.get(*key).and_then(Value::as_str))
-}
-
-fn shell_grep_symbol(command: &str) -> Option<String> {
-    let mut parts = command.split_whitespace();
-    let binary = strip_shell_quotes(parts.next()?)
-        .rsplit('/')
-        .next()?
-        .to_string();
-    if !matches!(binary.as_str(), "rg" | "ripgrep" | "grep" | "st") {
-        return None;
-    }
-
-    let mut previous_took_value = false;
-    for part in parts {
-        let token = strip_shell_quotes(part);
-        if previous_took_value {
-            previous_took_value = false;
-            continue;
-        }
-        if token.starts_with("--") {
-            previous_took_value = matches!(
-                token.as_str(),
-                "--glob" | "--type" | "--context" | "--after-context" | "--before-context"
-            );
-            continue;
-        }
-        if token.starts_with('-') {
-            continue;
-        }
-        return symbol_from_search_value(&token);
-    }
-    None
-}
-
-fn symbol_from_search_value(value: &str) -> Option<String> {
-    let trimmed = strip_shell_quotes(value)
-        .trim_matches('/')
-        .replace("\\b", "")
-        .replace(['^', '$'], "");
-    for token in trimmed.split(|ch: char| !(ch.is_ascii_alphanumeric() || ch == '_')) {
-        if looks_like_symbol_token(token) {
-            return Some(token.to_string());
-        }
-    }
-    None
-}
-
-fn looks_like_symbol_token(token: &str) -> bool {
-    if token.len() < 3 {
-        return false;
-    }
-    let mut chars = token.chars();
-    let Some(first) = chars.next() else {
-        return false;
-    };
-    if !(first.is_ascii_alphabetic() || first == '_') {
-        return false;
-    }
-    if !chars.all(|ch| ch.is_ascii_alphanumeric() || ch == '_') {
-        return false;
-    }
-
-    let lower = token.to_ascii_lowercase();
-    if matches!(
-        lower.as_str(),
-        "todo" | "fixme" | "error" | "warning" | "debug" | "test" | "src" | "main"
-    ) {
-        return false;
-    }
-    token.contains('_') || token.chars().any(|ch| ch.is_ascii_uppercase())
-}
-
-fn strip_shell_quotes(value: &str) -> String {
-    value
-        .trim()
-        .trim_matches('"')
-        .trim_matches('\'')
-        .to_string()
-}
-
-fn quiet_command_suggestion(command: &str) -> Option<String> {
-    if command_has_prefix(command, "git log") && !contains_word(command, "--oneline") {
-        return Some(insert_after_prefix(command, "git log", "--oneline"));
-    }
-    for prefix in ["cargo build", "cargo check", "cargo clippy", "cargo test"] {
-        if command_has_prefix(command, prefix) && !contains_word(command, "--quiet") {
-            return Some(insert_after_prefix(command, prefix, "--quiet"));
-        }
-    }
-    if command_has_prefix(command, "pytest") && !contains_word(command, "-q") {
-        return Some(insert_after_prefix(command, "pytest", "-q"));
-    }
-    if command_has_prefix(command, "npm install") && !contains_word(command, "--silent") {
-        return Some(insert_after_prefix(command, "npm install", "--silent"));
-    }
-    if command_has_prefix(command, "pip install") && !contains_word(command, "--quiet") {
-        return Some(insert_after_prefix(command, "pip install", "--quiet"));
-    }
-    if command_has_prefix(command, "docker build") && !contains_word(command, "--progress=quiet") {
-        return Some(insert_after_prefix(
-            command,
-            "docker build",
-            "--progress=quiet",
-        ));
-    }
-    if command_has_prefix(command, "curl") && !contains_word(command, "-s") {
-        return Some(insert_after_prefix(command, "curl", "-s"));
-    }
-    if command_has_prefix(command, "make") && !contains_word(command, "-s") {
-        return Some(insert_after_prefix(command, "make", "-s"));
-    }
-    if command_has_prefix(command, "tree") && !contains_word(command, "-I") {
-        return Some(insert_after_prefix(
-            command,
-            "tree",
-            "-I \"node_modules|.git|target|dist|build\"",
-        ));
-    }
-    None
-}
-
-fn command_has_prefix(command: &str, prefix: &str) -> bool {
-    command == prefix || command.starts_with(&format!("{prefix} "))
-}
-
-fn contains_word(command: &str, word: &str) -> bool {
-    command.split_whitespace().any(|part| part == word)
-}
-
-fn insert_after_prefix(command: &str, prefix: &str, insertion: &str) -> String {
-    let rest = command[prefix.len()..].trim_start();
-    if rest.is_empty() {
-        format!("{prefix} {insertion}")
-    } else {
-        format!("{prefix} {insertion} {rest}")
-    }
-}
-
-/// Depth cap for `value_payload_bytes`'s recursion. Model-controlled JSON has
-/// no natural nesting limit; a real write/edit payload never needs anywhere
-/// near this depth, so hitting it is itself a signal the payload is oversized.
-const MAX_PAYLOAD_DEPTH: usize = 32;
-
-fn write_payload_bytes(args: &Map<String, Value>) -> usize {
-    let payload_keys = [
-        "content",
-        "text",
-        "new_content",
-        "patch",
-        "diff",
-        "replacement",
-        "data",
-        "old_string",
-        "new_string",
-    ];
-    let known = args
-        .iter()
-        .filter(|(key, _)| payload_keys.contains(&key.as_str()))
-        .fold(0usize, |acc, (_, value)| {
-            acc.saturating_add(value_payload_bytes(value, 0))
-        });
-    if known > 0 {
-        return known;
-    }
-    // None of the known field names matched (a tool with a non-standard
-    // schema, e.g. `body`/`value`) -- fall back to summing every value in
-    // the payload rather than silently reporting zero and never capping it.
-    args.values().fold(0usize, |acc, value| {
-        acc.saturating_add(value_payload_bytes(value, 0))
-    })
-}
-
-fn value_payload_bytes(value: &Value, depth: usize) -> usize {
-    if depth >= MAX_PAYLOAD_DEPTH {
-        // Treat implausibly deep nesting as oversized rather than recursing
-        // further; a fixed large sentinel (not usize::MAX) keeps the
-        // saturating sum below safe from overflowing back to a small value.
-        return 1_000_000_000;
-    }
-    match value {
-        Value::String(value) => value.len(),
-        Value::Array(values) => values.iter().fold(0usize, |acc, v| {
-            acc.saturating_add(value_payload_bytes(v, depth + 1))
-        }),
-        Value::Object(values) => values.values().fold(0usize, |acc, v| {
-            acc.saturating_add(value_payload_bytes(v, depth + 1))
-        }),
-        _ => 0,
-    }
-}
-
-#[cfg(test)]
-mod tests {
-    use super::*;
-    use serde_json::json;
-
-    fn tool_spec(name: &str) -> Tool {
-        Tool {
-            name: name.to_string(),
-            description: None,
-            input_schema: json!({"type": "object"}),
-        }
-    }
-
-    fn call(name: &str, input: Value) -> ToolCall {
-        ToolCall {
-            id: "toolu_1".to_string(),
-            name: name.to_string(),
-            input,
-        }
-    }
-
-    #[test]
-    fn lsp_nudge_requires_replacement_tool() {
-        let mut state = ToolGuardrailRequestState::new();
-        let config = ToolGuardrailConfig {
-            lsp_first: true,
-            ..ToolGuardrailConfig::disabled()
-        };
-        let calls = vec![call("grep", json!({"pattern": "UserService"}))];
-
-        assert!(
-            evaluate_tool_guardrails(&calls, &[tool_spec("grep")], &config, &mut state).is_empty()
-        );
-
-        let nudges = evaluate_tool_guardrails(
-            &calls,
-            &[tool_spec("grep"), tool_spec("find_definition")],
-            &config,
-            &mut state,
-        );
-        assert_eq!(nudges.len(), 1);
-        let nudge = &nudges[0];
-        assert_eq!(nudge.kind, "lsp_first");
-        assert_eq!(nudge.call_id, "toolu_1");
-        assert!(nudge.content.contains("find_definition"));
-        assert!(nudge.content.contains("UserService"));
-    }
-
-    #[test]
-    fn quiet_command_nudges_once() {
-        let mut state = ToolGuardrailRequestState::new();
-        let config = ToolGuardrailConfig {
-            quiet_commands: true,
-            ..ToolGuardrailConfig::disabled()
-        };
-        let calls = vec![call("bash", json!({"command": "cargo test"}))];
-        let first = evaluate_tool_guardrails(&calls, &[], &config, &mut state);
-        assert_eq!(first.len(), 1);
-        assert_eq!(first[0].kind, "quiet_command");
-        assert!(first[0].content.contains("cargo test --quiet"));
-        assert!(evaluate_tool_guardrails(&calls, &[], &config, &mut state).is_empty());
-    }
-
-    #[test]
-    fn only_offending_call_is_nudged() {
-        let mut state = ToolGuardrailRequestState::new();
-        let config = ToolGuardrailConfig {
-            lsp_first: true,
-            ..ToolGuardrailConfig::disabled()
-        };
-        let calls = vec![
-            ToolCall {
-                id: "toolu_grep".into(),
-                name: "grep".into(),
-                input: json!({"pattern": "UserService"}),
-            },
-            ToolCall {
-                id: "toolu_write".into(),
-                name: "write_file".into(),
-                input: json!({"content": "ok"}),
-            },
-        ];
-        let nudges = evaluate_tool_guardrails(
-            &calls,
-            &[tool_spec("grep"), tool_spec("find_definition")],
-            &config,
-            &mut state,
-        );
-        assert_eq!(nudges.len(), 1);
-        assert_eq!(nudges[0].call_id, "toolu_grep");
-    }
-
-    #[test]
-    fn write_payload_cap_detects_oversized_payload() {
-        let mut state = ToolGuardrailRequestState::new();
-        let config = ToolGuardrailConfig {
-            write_payload_caps: true,
-            max_write_payload_bytes: 4,
-            ..ToolGuardrailConfig::disabled()
-        };
-        let calls = vec![call("write_file", json!({"content": "12345"}))];
-        let nudges = evaluate_tool_guardrails(&calls, &[], &config, &mut state);
-        assert_eq!(nudges.len(), 1);
-        assert_eq!(nudges[0].kind, "write_payload_cap");
-        assert!(nudges[0].content.contains("5 bytes > 4 bytes"));
-    }
-
-    #[test]
-    fn write_payload_cap_zero_disables_nudge() {
-        let mut state = ToolGuardrailRequestState::new();
-        let config = ToolGuardrailConfig {
-            write_payload_caps: true,
-            max_write_payload_bytes: 0,
-            ..ToolGuardrailConfig::disabled()
-        };
-        let calls = vec![call("write_file", json!({"content": "12345"}))];
-        assert!(evaluate_tool_guardrails(&calls, &[], &config, &mut state).is_empty());
-    }
-
-    #[test]
-    fn write_payload_cap_does_not_collide_on_equal_length_different_content() {
-        let mut state = ToolGuardrailRequestState::new();
-        let config = ToolGuardrailConfig {
-            write_payload_caps: true,
-            max_write_payload_bytes: 4,
-            ..ToolGuardrailConfig::disabled()
-        };
-        // Same byte length (5), different content/target -- both must nudge.
-        let first = vec![call("write_file", json!({"content": "aaaaa"}))];
-        let second = vec![call("write_file", json!({"content": "bbbbb"}))];
-        assert_eq!(
-            evaluate_tool_guardrails(&first, &[], &config, &mut state).len(),
-            1
-        );
-        assert_eq!(
-            evaluate_tool_guardrails(&second, &[], &config, &mut state).len(),
-            1,
-            "an unrelated oversized write of equal byte length must still be nudged"
-        );
-    }
-
-    #[test]
-    fn write_payload_bytes_falls_back_to_unrecognized_field_names() {
-        let args = json!({"body": "12345"});
-        assert_eq!(write_payload_bytes(args.as_object().unwrap()), 5);
-    }
-
-    #[test]
-    fn resolve_runtime_guardrails_prefers_runtime_override() {
-        let static_config = ToolGuardrailConfig::disabled();
-        let resolved = resolve_runtime_guardrails(&static_config, "standard");
-        assert_eq!(resolved, ToolGuardrailConfig::standard());
-    }
-
-    #[test]
-    fn resolve_runtime_guardrails_keeps_static_when_modes_match() {
-        let static_config = ToolGuardrailConfig {
-            max_write_payload_bytes: 123,
-            ..ToolGuardrailConfig::standard()
-        };
-        let resolved = resolve_runtime_guardrails(&static_config, "standard");
-        // Same mode as the static preset -- the static config (with its
-        // custom max_write_payload_bytes) must be preserved, not rebuilt
-        // from the bare preset.
-        assert_eq!(resolved, static_config);
-    }
-
-    #[test]
-    fn resolve_runtime_guardrails_falls_back_on_unparseable_value() {
-        let static_config = ToolGuardrailConfig::standard();
-        let resolved = resolve_runtime_guardrails(&static_config, "not-a-real-mode");
-        assert_eq!(resolved, static_config);
-    }
-}
diff --git a/crates/proxy/src/tools/guardrails/lsp.rs b/crates/proxy/src/tools/guardrails/lsp.rs
new file mode 100644
index 0000000..1a49dc7
--- /dev/null
+++ b/crates/proxy/src/tools/guardrails/lsp.rs
@@ -0,0 +1,48 @@
+use super::utils::*;
+use super::ToolGuardrailNudge;
+use crate::tools::execution::ToolCall;
+use anyllm_translate::anthropic::Tool;
+
+pub(super) fn available_lsp_tools(tool_specs: &[Tool]) -> Vec<String> {
+    let supported = [
+        "find_definition",
+        "find_references",
+        "get_hover",
+        "document_symbols",
+        "workspace_symbols",
+    ];
+    tool_specs
+        .iter()
+        .filter(|tool| supported.contains(&tool.name.as_str()))
+        .map(|tool| tool.name.clone())
+        .collect()
+}
+
+pub(super) fn lsp_first_nudge(call: &ToolCall, lsp_tools: &[String]) -> Option<ToolGuardrailNudge> {
+    let tool_name = call.name.to_ascii_lowercase();
+    let args = object_args(&call.input);
+    let symbol = if is_shell_tool(&tool_name) {
+        shell_grep_symbol(command_arg(args?)?)?
+    } else if is_grep_tool(&tool_name) {
+        string_arg(
+            args?,
+            &["symbol", "name", "pattern", "query", "regex", "needle"],
+        )
+        .and_then(symbol_from_search_value)?
+    } else if is_glob_tool(&tool_name) {
+        string_arg(args?, &["pattern", "query", "glob"]).and_then(symbol_from_search_value)?
+    } else {
+        return None;
+    };
+
+    let tools = lsp_tools.join(", ");
+    let fingerprint = format!("lsp_first:{}:{symbol}", call.name);
+    Some(ToolGuardrailNudge {
+        call_id: call.id.clone(),
+        kind: "lsp_first",
+        content: format!(
+            "Use available LSP tools for symbol lookup instead of grep/glob/shell search. Available LSP tools: {tools}. Retry with the best matching LSP tool for `{symbol}`."
+        ),
+        fingerprint,
+    })
+}
diff --git a/crates/proxy/src/tools/guardrails/quiet.rs b/crates/proxy/src/tools/guardrails/quiet.rs
new file mode 100644
index 0000000..7d8d4f3
--- /dev/null
+++ b/crates/proxy/src/tools/guardrails/quiet.rs
@@ -0,0 +1,79 @@
+use super::utils::*;
+use super::ToolGuardrailNudge;
+use crate::tools::execution::ToolCall;
+
+pub(super) fn quiet_command_nudge(call: &ToolCall) -> Option<ToolGuardrailNudge> {
+    let tool_name = call.name.to_ascii_lowercase();
+    if !is_shell_tool(&tool_name) {
+        return None;
+    }
+    let command = command_arg(object_args(&call.input)?)?.trim();
+    let suggestion = quiet_command_suggestion(command)?;
+    let fingerprint = format!("quiet:{}:{command}:{suggestion}", call.name);
+    Some(ToolGuardrailNudge {
+        call_id: call.id.clone(),
+        kind: "quiet_command",
+        content: format!(
+            "The requested shell command is likely to produce noisy output. Prefer `{suggestion}`. Repeat the original command only if verbose output is required."
+        ),
+        fingerprint,
+    })
+}
+
+fn quiet_command_suggestion(command: &str) -> Option<String> {
+    if command_has_prefix(command, "git log") && !contains_word(command, "--oneline") {
+        return Some(insert_after_prefix(command, "git log", "--oneline"));
+    }
+    for prefix in ["cargo build", "cargo check", "cargo clippy", "cargo test"] {
+        if command_has_prefix(command, prefix) && !contains_word(command, "--quiet") {
+            return Some(insert_after_prefix(command, prefix, "--quiet"));
+        }
+    }
+    if command_has_prefix(command, "pytest") && !contains_word(command, "-q") {
+        return Some(insert_after_prefix(command, "pytest", "-q"));
+    }
+    if command_has_prefix(command, "npm install") && !contains_word(command, "--silent") {
+        return Some(insert_after_prefix(command, "npm install", "--silent"));
+    }
+    if command_has_prefix(command, "pip install") && !contains_word(command, "--quiet") {
+        return Some(insert_after_prefix(command, "pip install", "--quiet"));
+    }
+    if command_has_prefix(command, "docker build") && !contains_word(command, "--progress=quiet") {
+        return Some(insert_after_prefix(
+            command,
+            "docker build",
+            "--progress=quiet",
+        ));
+    }
+    if command_has_prefix(command, "curl") && !contains_word(command, "-s") {
+        return Some(insert_after_prefix(command, "curl", "-s"));
+    }
+    if command_has_prefix(command, "make") && !contains_word(command, "-s") {
+        return Some(insert_after_prefix(command, "make", "-s"));
+    }
+    if command_has_prefix(command, "tree") && !contains_word(command, "-I") {
+        return Some(insert_after_prefix(
+            command,
+            "tree",
+            "-I \"node_modules|.git|target|dist|build\"",
+        ));
+    }
+    None
+}
+
+fn command_has_prefix(command: &str, prefix: &str) -> bool {
+    command == prefix || command.starts_with(&format!("{prefix} "))
+}
+
+fn contains_word(command: &str, word: &str) -> bool {
+    command.split_whitespace().any(|part| part == word)
+}
+
+fn insert_after_prefix(command: &str, prefix: &str, insertion: &str) -> String {
+    let rest = command[prefix.len()..].trim_start();
+    if rest.is_empty() {
+        format!("{prefix} {insertion}")
+    } else {
+        format!("{prefix} {insertion} {rest}")
+    }
+}
diff --git a/crates/proxy/src/tools/guardrails/tests.rs b/crates/proxy/src/tools/guardrails/tests.rs
new file mode 100644
index 0000000..14d1ce3
--- /dev/null
+++ b/crates/proxy/src/tools/guardrails/tests.rs
@@ -0,0 +1,171 @@
+use super::*;
+use crate::tools::execution::ToolCall;
+use anyllm_translate::anthropic::Tool;
+use serde_json::{json, Value};
+
+fn tool_spec(name: &str) -> Tool {
+    Tool {
+        name: name.to_string(),
+        description: None,
+        input_schema: json!({"type": "object"}),
+    }
+}
+
+fn call(name: &str, input: Value) -> ToolCall {
+    ToolCall {
+        id: "toolu_1".to_string(),
+        name: name.to_string(),
+        input,
+    }
+}
+
+#[test]
+fn lsp_nudge_requires_replacement_tool() {
+    let mut state = ToolGuardrailRequestState::new();
+    let config = ToolGuardrailConfig {
+        lsp_first: true,
+        ..ToolGuardrailConfig::disabled()
+    };
+    let calls = vec![call("grep", json!({"pattern": "UserService"}))];
+
+    assert!(evaluate_tool_guardrails(&calls, &[tool_spec("grep")], &config, &mut state).is_empty());
+
+    let nudges = evaluate_tool_guardrails(
+        &calls,
+        &[tool_spec("grep"), tool_spec("find_definition")],
+        &config,
+        &mut state,
+    );
+    assert_eq!(nudges.len(), 1);
+    let nudge = &nudges[0];
+    assert_eq!(nudge.kind, "lsp_first");
+    assert_eq!(nudge.call_id, "toolu_1");
+    assert!(nudge.content.contains("find_definition"));
+    assert!(nudge.content.contains("UserService"));
+}
+
+#[test]
+fn quiet_command_nudges_once() {
+    let mut state = ToolGuardrailRequestState::new();
+    let config = ToolGuardrailConfig {
+        quiet_commands: true,
+        ..ToolGuardrailConfig::disabled()
+    };
+    let calls = vec![call("bash", json!({"command": "cargo test"}))];
+    let first = evaluate_tool_guardrails(&calls, &[], &config, &mut state);
+    assert_eq!(first.len(), 1);
+    assert_eq!(first[0].kind, "quiet_command");
+    assert!(first[0].content.contains("cargo test --quiet"));
+    assert!(evaluate_tool_guardrails(&calls, &[], &config, &mut state).is_empty());
+}
+
+#[test]
+fn only_offending_call_is_nudged() {
+    let mut state = ToolGuardrailRequestState::new();
+    let config = ToolGuardrailConfig {
+        lsp_first: true,
+        ..ToolGuardrailConfig::disabled()
+    };
+    let calls = vec![
+        ToolCall {
+            id: "toolu_grep".into(),
+            name: "grep".into(),
+            input: json!({"pattern": "UserService"}),
+        },
+        ToolCall {
+            id: "toolu_write".into(),
+            name: "write_file".into(),
+            input: json!({"content": "ok"}),
+        },
+    ];
+    let nudges = evaluate_tool_guardrails(
+        &calls,
+        &[tool_spec("grep"), tool_spec("find_definition")],
+        &config,
+        &mut state,
+    );
+    assert_eq!(nudges.len(), 1);
+    assert_eq!(nudges[0].call_id, "toolu_grep");
+}
+
+#[test]
+fn write_payload_cap_detects_oversized_payload() {
+    let mut state = ToolGuardrailRequestState::new();
+    let config = ToolGuardrailConfig {
+        write_payload_caps: true,
+        max_write_payload_bytes: 4,
+        ..ToolGuardrailConfig::disabled()
+    };
+    let calls = vec![call("write_file", json!({"content": "12345"}))];
+    let nudges = evaluate_tool_guardrails(&calls, &[], &config, &mut state);
+    assert_eq!(nudges.len(), 1);
+    assert_eq!(nudges[0].kind, "write_payload_cap");
+    assert!(nudges[0].content.contains("5 bytes > 4 bytes"));
+}
+
+#[test]
+fn write_payload_cap_zero_disables_nudge() {
+    let mut state = ToolGuardrailRequestState::new();
+    let config = ToolGuardrailConfig {
+        write_payload_caps: true,
+        max_write_payload_bytes: 0,
+        ..ToolGuardrailConfig::disabled()
+    };
+    let calls = vec![call("write_file", json!({"content": "12345"}))];
+    assert!(evaluate_tool_guardrails(&calls, &[], &config, &mut state).is_empty());
+}
+
+#[test]
+fn write_payload_cap_does_not_collide_on_equal_length_different_content() {
+    let mut state = ToolGuardrailRequestState::new();
+    let config = ToolGuardrailConfig {
+        write_payload_caps: true,
+        max_write_payload_bytes: 4,
+        ..ToolGuardrailConfig::disabled()
+    };
+    // Same byte length (5), different content/target -- both must nudge.
+    let first = vec![call("write_file", json!({"content": "aaaaa"}))];
+    let second = vec![call("write_file", json!({"content": "bbbbb"}))];
+    assert_eq!(
+        evaluate_tool_guardrails(&first, &[], &config, &mut state).len(),
+        1
+    );
+    assert_eq!(
+        evaluate_tool_guardrails(&second, &[], &config, &mut state).len(),
+        1,
+        "an unrelated oversized write of equal byte length must still be nudged"
+    );
+}
+
+#[test]
+fn write_payload_bytes_falls_back_to_unrecognized_field_names() {
+    let args = json!({"body": "12345"});
+    assert_eq!(write_cap::write_payload_bytes(args.as_object().unwrap()), 5);
+}
+
+#[test]
+fn resolve_runtime_guardrails_prefers_runtime_override() {
+    let static_config = ToolGuardrailConfig::disabled();
+    let resolved = resolve_runtime_guardrails(&static_config, "standard");
+    assert_eq!(resolved, ToolGuardrailConfig::standard());
+}
+
+#[test]
+fn resolve_runtime_guardrails_keeps_static_when_modes_match() {
+    let static_config = ToolGuardrailConfig {
+        max_write_payload_bytes: 123,
+        ..ToolGuardrailConfig::standard()
+    };
+    let resolved = resolve_runtime_guardrails(&static_config, "standard");
+    // Same mode as the static preset -- the static config (with its
+    // custom max_write_payload_bytes) must be preserved, not rebuilt
+    // from the bare preset.
+    assert_eq!(resolved, static_config);
+}
+
+#[test]
+fn resolve_runtime_guardrails_falls_back_on_unparseable_value() {
+    let static_config = ToolGuardrailConfig::standard();
+    let resolved = resolve_runtime_guardrails(&static_config, "not-a-real-mode");
+    assert_eq!(resolved, static_config);
+}
diff --git a/crates/proxy/src/tools/guardrails/utils.rs b/crates/proxy/src/tools/guardrails/utils.rs
new file mode 100644
index 0000000..d3c962b
--- /dev/null
+++ b/crates/proxy/src/tools/guardrails/utils.rs
@@ -0,0 +1,124 @@
+use serde_json::{Map, Value};
+
+pub(super) fn is_shell_tool(name: &str) -> bool {
+    matches!(
+        name,
+        "bash" | "shell" | "run_command" | "execute_command" | "terminal" | "exec" | "execute_bash"
+    )
+}
+
+pub(super) fn is_grep_tool(name: &str) -> bool {
+    matches!(name, "grep" | "rg" | "ripgrep" | "st")
+}
+
+pub(super) fn is_glob_tool(name: &str) -> bool {
+    matches!(name, "glob" | "find_files" | "file_glob")
+}
+
+pub(super) fn is_write_or_edit_tool(name: &str) -> bool {
+    matches!(
+        name,
+        "write"
+            | "write_file"
+            | "edit"
+            | "edit_file"
+            | "replace"
+            | "apply_patch"
+            | "create_file"
+            | "update_file"
+    )
+}
+
+pub(super) fn object_args(value: &Value) -> Option<&Map<String, Value>> {
+    value.as_object()
+}
+
+pub(super) fn command_arg(args: &Map<String, Value>) -> Option<&str> {
+    string_arg(args, &["command", "cmd", "shell_command", "input"])
+}
+
+pub(super) fn string_arg<'a>(args: &'a Map<String, Value>, keys: &[&str]) -> Option<&'a str> {
+    // Only the named keys, in order. Do NOT fall back to an arbitrary string
+    // value: that would let an unrelated field be misread as the search symbol
+    // or command for an advisory nudge.
+    keys.iter()
+        .find_map(|key| args.get(*key).and_then(Value::as_str))
+}
+
+pub(super) fn shell_grep_symbol(command: &str) -> Option<String> {
+    let mut parts = command.split_whitespace();
+    let binary = strip_shell_quotes(parts.next()?)
+        .rsplit('/')
+        .next()?
+        .to_string();
+    if !matches!(binary.as_str(), "rg" | "ripgrep" | "grep" | "st") {
+        return None;
+    }
+
+    let mut previous_took_value = false;
+    for part in parts {
+        let token = strip_shell_quotes(part);
+        if previous_took_value {
+            previous_took_value = false;
+            continue;
+        }
+        if token.starts_with("--") {
+            previous_took_value = matches!(
+                token.as_str(),
+                "--glob" | "--type" | "--context" | "--after-context" | "--before-context"
+            );
+            continue;
+        }
+        if token.starts_with('-') {
+            continue;
+        }
+        return symbol_from_search_value(&token);
+    }
+    None
+}
+
+pub(super) fn symbol_from_search_value(value: &str) -> Option<String> {
+    let trimmed = strip_shell_quotes(value)
+        .trim_matches('/')
+        .replace("\\b", "")
+        .replace(['^', '$'], "");
+    for token in trimmed.split(|ch: char| !(ch.is_ascii_alphanumeric() || ch == '_')) {
+        if looks_like_symbol_token(token) {
+            return Some(token.to_string());
+        }
+    }
+    None
+}
+
+fn looks_like_symbol_token(token: &str) -> bool {
+    if token.len() < 3 {
+        return false;
+    }
+    let mut chars = token.chars();
+    let Some(first) = chars.next() else {
+        return false;
+    };
+    if !(first.is_ascii_alphabetic() || first == '_') {
+        return false;
+    }
+    if !chars.all(|ch| ch.is_ascii_alphanumeric() || ch == '_') {
+        return false;
+    }
+
+    let lower = token.to_ascii_lowercase();
+    if matches!(
+        lower.as_str(),
+        "todo" | "fixme" | "error" | "warning" | "debug" | "test" | "src" | "main"
+    ) {
+        return false;
+    }
+    token.contains('_') || token.chars().any(|ch| ch.is_ascii_uppercase())
+}
+
+pub(super) fn strip_shell_quotes(value: &str) -> String {
+    value
+        .trim()
+        .trim_matches('"')
+        .trim_matches('\'')
+        .to_string()
+}
diff --git a/crates/proxy/src/tools/guardrails/write_cap.rs b/crates/proxy/src/tools/guardrails/write_cap.rs
new file mode 100644
index 0000000..eade9ce
--- /dev/null
+++ b/crates/proxy/src/tools/guardrails/write_cap.rs
@@ -0,0 +1,101 @@
+use super::utils::*;
+use super::ToolGuardrailNudge;
+use crate::tools::execution::ToolCall;
+use serde_json::{Map, Value};
+
+/// Depth cap for `value_payload_bytes`'s recursion. Model-controlled JSON has
+/// no natural nesting limit; a real write/edit payload never needs anywhere
+/// near this depth, so hitting it is itself a signal the payload is oversized.
+const MAX_PAYLOAD_DEPTH: usize = 32;
+
+pub(super) fn write_payload_cap_nudge(
+    call: &ToolCall,
+    max_bytes: usize,
+) -> Option<ToolGuardrailNudge> {
+    // A cap of 0 disables the nudge rather than firing on every non-empty write.
+    if max_bytes == 0 {
+        return None;
+    }
+    let tool_name = call.name.to_ascii_lowercase();
+    if !is_write_or_edit_tool(&tool_name) {
+        return None;
+    }
+    let bytes = object_args(&call.input)
+        .map(write_payload_bytes)
+        .unwrap_or(0);
+    if bytes <= max_bytes {
+        return None;
+    }
+    Some(ToolGuardrailNudge {
+        call_id: call.id.clone(),
+        kind: "write_payload_cap",
+        content: format!(
+            "The requested write/edit payload is too large for this proxy policy ({bytes} bytes > {max_bytes} bytes). Retry with a smaller targeted edit or split the change."
+        ),
+        // Include a hash of the actual payload, not just its byte length, so
+        // two unrelated oversized writes that happen to be the same size
+        // (e.g. same-size templated files) don't collide and suppress each
+        // other's nudge. Identical repeated calls (same target, same
+        // content) still dedupe as intended.
+        fingerprint: format!(
+            "write_payload_cap:{}:{:x}:{bytes}:{max_bytes}",
+            call.name,
+            payload_content_hash(&call.input)
+        ),
+    })
+}
+
+fn payload_content_hash(value: &Value) -> u64 {
+    use std::hash::{Hash, Hasher};
+    let mut hasher = std::collections::hash_map::DefaultHasher::new();
+    value.to_string().hash(&mut hasher);
+    hasher.finish()
+}
+
+pub(super) fn write_payload_bytes(args: &Map<String, Value>) -> usize {
+    let payload_keys = [
+        "content",
+        "text",
+        "new_content",
+        "patch",
+        "diff",
+        "replacement",
+        "data",
+        "old_string",
+        "new_string",
+    ];
+    let known = args
+        .iter()
+        .filter(|(key, _)| payload_keys.contains(&key.as_str()))
+        .fold(0usize, |acc, (_, value)| {
+            acc.saturating_add(value_payload_bytes(value, 0))
+        });
+    if known > 0 {
+        return known;
+    }
+    // None of the known field names matched (a tool with a non-standard
+    // schema, e.g. `body`/`value`) -- fall back to summing every value in
+    // the payload rather than silently reporting zero and never capping it.
+    args.values().fold(0usize, |acc, value| {
+        acc.saturating_add(value_payload_bytes(value, 0))
+    })
+}
+
+fn value_payload_bytes(value: &Value, depth: usize) -> usize {
+    if depth >= MAX_PAYLOAD_DEPTH {
+        // Treat implausibly deep nesting as oversized rather than recursing
+        // further; a fixed large sentinel (not usize::MAX) keeps the
+        // saturating sum below safe from overflowing back to a small value.
+        return 1_000_000_000;
+    }
+    match value {
+        Value::String(value) => value.len(),
+        Value::Array(values) => values.iter().fold(0usize, |acc, v| {
+            acc.saturating_add(value_payload_bytes(v, depth + 1))
+        }),
+        Value::Object(values) => values.values().fold(0usize, |acc, v| {
+            acc.saturating_add(value_payload_bytes(v, depth + 1))
+        }),
+        _ => 0,
+    }
+}
diff --git a/crates/pxpipe/src/transform/anthropic.rs b/crates/pxpipe/src/transform/anthropic.rs
deleted file mode 100644
index 22a6009..0000000
--- a/crates/pxpipe/src/transform/anthropic.rs
+++ /dev/null
@@ -1,1258 +0,0 @@
-//! Anthropic Messages request transform (static-slab imaging). Port of the
-//! system-slab + tool-doc path of pxpipe's `transform.ts`.
-//!
-//! **Value-based on purpose.** The proxy's typed `anthropic::ContentBlock`/`Tool`
-//! do not model per-block `cache_control` and have no flatten catch-all, so a
-//! typed round-trip would silently drop every cache breakpoint and unmodeled
-//! block. We read/mutate the raw `serde_json::Value` tree and touch only the
-//! system field, the tools array, and the first user message — every other byte
-//! passes through untouched. This is why we cannot reuse the proxy's
-//! `patch_repaired_body` (which *fails open* on cache_control to preserve it in
-//! place; we need to *relocate* it onto the image).
-
-use base64::Engine;
-use serde_json::{json, Map, Value};
-
-use super::info::TransformInfo;
-use super::{factsheet, gate, schema_strip};
-use crate::render::{render_text, RenderOpts};
-
-#[derive(Clone, Copy, Debug)]
-pub struct AnthropicOpts {
-    pub cols: usize,
-    pub max_height_px: usize,
-    pub chars_per_token: f64,
-    /// Skip entirely below this many slab chars (per-image cost dominates).
-    pub min_compress_chars: usize,
-    /// Move tool descriptions/schema annotations into the imaged Tool Reference.
-    pub compress_tools: bool,
-    /// Image large `<system-reminder>` text blocks in the first user message.
-    pub compress_reminders: bool,
-    /// Image large `tool_result` text content across all user messages.
-    pub compress_tool_results: bool,
-    /// Per-block char floor for reminder/tool_result imaging.
-    pub min_live_block_chars: usize,
-    /// Cap on images per tool_result; source is truncated (with a paging marker)
-    /// above this so one giant result can't blow Anthropic's 100-image/request cap.
-    pub max_images_per_tool_result: usize,
-    /// Aggregate ceiling on TOTAL image blocks in the outgoing request
-    /// (client-supplied + every pxpipe pass combined). Anthropic rejects requests
-    /// past ~100 images, so imaging stops once this budget is exhausted and the
-    /// remaining regions pass through as text. The per-tool_result cap only bounds
-    /// one result; this bounds the sum.
-    pub max_total_images: usize,
-    /// Collapse the OLD closed-tool-call conversation prefix into history image(s),
-    /// keeping the recent tail as text. Default OFF — highest cache-stability risk
-    /// (see `apply_history`); gate on live validation before enabling by default.
-    pub compress_history: bool,
-    /// Trailing messages kept as live text (never collapsed).
-    pub keep_tail_messages: usize,
-    /// Minimum collapsible messages; below this the cache-amortization math doesn't pay.
-    pub min_collapse_prefix_messages: usize,
-    /// Snap the collapse boundary to this message-grid so the rendered history PNG
-    /// stays byte-identical across turns and keeps hitting the prompt cache.
-    pub history_collapse_chunk: usize,
-}
-
-impl Default for AnthropicOpts {
-    fn default() -> Self {
-        Self {
-            cols: crate::render::RenderOpts::default().cols,
-            max_height_px: crate::render::RenderOpts::default().max_height_px,
-            // Slab is dense; 2.0 is conservative vs the real ~1.9 (see pxpipe
-            // SLAB_CHARS_PER_TOKEN) so the gate biases toward pass-through.
-            chars_per_token: 2.0,
-            min_compress_chars: 6_000,
-            compress_tools: true,
-            compress_reminders: true,
-            compress_tool_results: true,
-            min_live_block_chars: 2_000,
-            max_images_per_tool_result: 10,
-            // Leave headroom under Anthropic's 100-image/request cap for a few
-            // client-supplied images the counter may miss on unusual shapes.
-            max_total_images: 95,
-            compress_history: false,
-            keep_tail_messages: 8,
-            min_collapse_prefix_messages: 20,
-            history_collapse_chunk: 20,
-        }
-    }
-}
-
-/// Neutral framing header co-rendered into the slab image. Deliberately avoids
-/// "system prompt"/"authoritative" wording — pxpipe found that phrasing trips
-/// Anthropic's reasoning_extraction refusal (reads as a replayed/extracted
-/// prompt). First-party, matter-of-fact framing keeps the model reading it as
-/// this session's own reference material.
-const SLAB_HEADER: &str =
-    "Reference context for this session, rendered as an image. Read it as text.\n\n";
-
-/// Concat the text of a system field (string or block array) and return
-/// `(text, last_cache_control)`. The cache_control is the caller's prefix
-/// breakpoint we will relocate onto the image.
-fn read_system(system: Option<&Value>) -> (String, Option<Value>) {
-    match system {
-        Some(Value::String(s)) => (s.clone(), None),
-        Some(Value::Array(blocks)) => {
-            let mut text = String::new();
-            let mut cc = None;
-            for b in blocks {
-                if let Some(t) = b.get("text").and_then(|t| t.as_str()) {
-                    if !text.is_empty() {
-                        text.push('\n');
-                    }
-                    text.push_str(t);
-                }
-                if let Some(c) = b.get("cache_control") {
-                    cc = Some(c.clone()); // last one wins (latest in prefix)
-                }
-            }
-            (text, cc)
-        }
-        _ => (String::new(), None),
-    }
-}
-
-/// Render one tool's full doc (prose + compact schema) for the imaged reference.
-fn render_tool_doc(tool: &Value) -> String {
-    let name = tool.get("name").and_then(|n| n.as_str()).unwrap_or("");
-    let desc = tool
-        .get("description")
-        .and_then(|d| d.as_str())
-        .unwrap_or("");
-    let schema = tool
-        .get("input_schema")
-        .map(|s| serde_json::to_string(s).unwrap_or_default())
-        .unwrap_or_default();
-    format!("## Tool: {name}\n{desc}\n```json\n{schema}\n```\n")
-}
-
-/// Build a base64 image content block from PNG bytes.
-fn image_block(png: &[u8]) -> Value {
-    let data = base64::engine::general_purpose::STANDARD.encode(png);
-    json!({
-        "type": "image",
-        "source": { "type": "base64", "media_type": "image/png", "data": data }
-    })
-}
-
-/// Chars-per-token for the live-region gate (reminders, tool_results). Higher
-/// than the slab's 2.0 because that content is prose/log, not dense config —
-/// pxpipe uses 4 here, which is conservative (biases toward pass-through).
-const LIVE_CHARS_PER_TOKEN: f64 = 4.0;
-
-/// Transform `root` (a parsed Anthropic Messages body) in place. Returns info;
-/// on any full skip `root` is left byte-identical to the input. Three
-/// independent passes — static slab, `<system-reminder>` blocks, and
-/// `tool_result` content — so a request below the slab floor can still get its
-/// live regions imaged (and vice-versa).
-pub fn transform(root: &mut Value, opts: &AnthropicOpts) -> TransformInfo {
-    if !root.is_object() {
-        return TransformInfo::skipped("parse_error");
-    }
-    let mut info = TransformInfo::default();
-    // NEW-image budget: total ceiling minus images the client already sent, so
-    // the combined passes never push the request past Anthropic's ~100-image cap.
-    let mut budget = opts
-        .max_total_images
-        .saturating_sub(count_existing_images(root));
-    let slab_reason = apply_slab(root, opts, &mut info, &mut budget);
-    // History runs BEFORE the live-region passes: it serializes the OLD message
-    // prefix to text, so tool_result imaging must not have already replaced that
-    // content with `[image]` placeholders. Reminders/tool_results then image only
-    // what survives (the protected first message + the live tail).
-    if opts.compress_history {
-        apply_history(root, opts, &mut info, &mut budget);
-    }
-    if opts.compress_reminders {
-        apply_reminders(root, opts, &mut info, &mut budget);
-    }
-    if opts.compress_tool_results {
-        apply_tool_results(root, opts, &mut info, &mut budget);
-    }
-    info.compressed = info.image_count > 0;
-    // "applied" when anything imaged; otherwise report why the slab (the primary
-    // path) declined.
-    info.reason = if info.compressed {
-        "applied"
-    } else {
-        slab_reason
-    };
-    info
-}
-
-/// Count image blocks already present in the request (client-supplied, incl.
-/// images nested inside `tool_result` content), so the added-image budget is
-/// measured against the true outgoing total under Anthropic's ~100-image cap.
-fn count_existing_images(root: &Value) -> usize {
-    let Some(msgs) = root.get("messages").and_then(|m| m.as_array()) else {
-        return 0;
-    };
-    let is_image = |b: &Value| b.get("type").and_then(|t| t.as_str()) == Some("image");
-    let mut n = 0;
-    for m in msgs {
-        let Some(blocks) = m.get("content").and_then(|c| c.as_array()) else {
-            continue;
-        };
-        for b in blocks {
-            match b.get("type").and_then(|t| t.as_str()) {
-                Some("image") => n += 1,
-                Some("tool_result") => {
-                    if let Some(inner) = b.get("content").and_then(|c| c.as_array()) {
-                        n += inner.iter().filter(|x| is_image(x)).count();
-                    }
-                }
-                _ => {}
-            }
-        }
-    }
-    n
-}
-
-/// Render `text` to image blocks for a live region (reminder / tool_result),
-/// gated on profitability AND the remaining `budget` of new images. Moves `cc`
-/// (the block's cache_control, if any) onto the last image and optionally
-/// appends a verbatim fact-sheet text block. Returns `None` (leave the block as
-/// text) when empty, not profitable, or over budget.
-fn render_live_block(
-    text: &str,
-    opts: &AnthropicOpts,
-    cc: Option<Value>,
-    append_factsheet: bool,
-    budget: usize,
-) -> Option<LiveRender> {
-    let images = render_text(
-        text,
-        RenderOpts {
-            cols: opts.cols,
-            max_height_px: opts.max_height_px,
-        },
-    );
-    let chars = text.chars().count();
-    if images.len() > budget {
-        return None;
-    }
-    if !gate::is_profitable(&images, chars, LIVE_CHARS_PER_TOKEN) {
-        return None;
-    }
-    let mut blocks: Vec<Value> = images.iter().map(|im| image_block(&im.png)).collect();
-    if let (Some(cc), Some(last)) = (cc, blocks.last_mut()) {
-        if let Some(o) = last.as_object_mut() {
-            o.insert("cache_control".into(), cc);
-        }
-    }
-    if append_factsheet {
-        let fact = factsheet::fact_sheet_text(text);
-        if !fact.is_empty() {
-            blocks.push(json!({ "type": "text", "text": fact }));
-        }
-    }
-    Some(LiveRender {
-        blocks,
-        bytes: images.iter().map(|im| im.png.len()).sum(),
-        pixels: images
-            .iter()
-            .map(|im| im.width as usize * im.height as usize)
-            .sum(),
-        dropped: images.iter().map(|im| im.dropped).sum(),
-        img_count: images.len(),
-    })
-}
-
-/// Rendered-live-block accumulators, folded into `TransformInfo` by the caller.
-struct LiveRender {
-    blocks: Vec<Value>,
-    bytes: usize,
-    pixels: usize,
-    dropped: usize,
-    img_count: usize,
-}
-
-/// Static system+tools slab pass. Returns the skip reason (or "applied"); only
-/// mutates `root` / fills `info` when profitable.
-fn apply_slab(
-    root: &mut Value,
-    opts: &AnthropicOpts,
-    info: &mut TransformInfo,
-    budget: &mut usize,
-) -> &'static str {
-    let (system_text, system_cc) = read_system(root.get("system"));
-
-    // Capture a tool cache_control as a fallback anchor (tools sit before system
-    // in the cache prefix, so system's wins when both exist).
-    let tools_present = opts.compress_tools
-        && root
-            .get("tools")
-            .and_then(|t| t.as_array())
-            .is_some_and(|a| !a.is_empty());
-    let mut tool_cc = None;
-    let mut tool_ref = String::new();
-    if tools_present {
-        if let Some(arr) = root.get("tools").and_then(|t| t.as_array()) {
-            for t in arr {
-                tool_ref.push_str(&render_tool_doc(t));
-                if let Some(c) = t.get("cache_control") {
-                    tool_cc = Some(c.clone());
-                }
-            }
-        }
-    }
-
-    // Assemble the slab: header + system + tool reference.
-    let mut slab = String::with_capacity(system_text.len() + tool_ref.len() + 64);
-    slab.push_str(SLAB_HEADER);
-    slab.push_str(&system_text);
-    if !tool_ref.is_empty() {
-        slab.push_str("\n\n# Tool Reference\n");
-        slab.push_str(&tool_ref);
-    }
-
-    let slab_chars = slab.chars().count();
-    // Nothing meaningful to image (no system text and no tools).
-    if system_text.trim().is_empty() && tool_ref.is_empty() {
-        return "no_slab";
-    }
-    if slab_chars < opts.min_compress_chars {
-        return "below_min_chars";
-    }
-
-    let images = render_text(
-        &slab,
-        RenderOpts {
-            cols: opts.cols,
-            max_height_px: opts.max_height_px,
-        },
-    );
-    if !gate::is_profitable(&images, slab_chars, opts.chars_per_token) {
-        return "not_profitable";
-    }
-    if images.len() > *budget {
-        return "image_budget";
-    }
-
-    // ---- commit: mutate root ------------------------------------------------
-    let anchor = system_cc.or(tool_cc); // relocate this onto the last image
-    let fact = factsheet::fact_sheet_text(&slab);
-
-    let mut image_blocks: Vec<Value> = images.iter().map(|im| image_block(&im.png)).collect();
-    let image_bytes: usize = images.iter().map(|im| im.png.len()).sum();
-    let image_pixels: usize = images
-        .iter()
-        .map(|im| im.width as usize * im.height as usize)
-        .sum();
-    let dropped: usize = images.iter().map(|im| im.dropped).sum();
-
-    // Relocate the caller's cache breakpoint onto the LAST image so the whole
-    // imaged prefix caches as one stable segment. pxpipe never *adds* a marker.
-    let relocated = if let (Some(cc), Some(last)) = (anchor, image_blocks.last_mut()) {
-        if let Some(obj) = last.as_object_mut() {
-            obj.insert("cache_control".into(), cc);
-        }
-        true
-    } else {
-        false
-    };
-
-    let obj = root.as_object_mut().expect("checked is_object above");
-
-    // 1. system -> short pointer (+ factsheet). Removes original cache_control
-    //    (relocated onto the image) since we're replacing the whole field.
-    let mut pointer = String::from(
-        "[Your reference context for this session is provided as an image in the first user message. Read it there.]",
-    );
-    if !fact.is_empty() {
-        pointer.push('\n');
-        pointer.push_str(&fact);
-    }
-    obj.insert("system".into(), Value::String(pointer));
-
-    // 2. tools -> stub description + annotation-stripped schema, drop the
-    //    relocated cache_control. Keep name + structural schema so Anthropic's
-    //    tool-use validator still accepts calls.
-    if tools_present {
-        if let Some(arr) = obj.get_mut("tools").and_then(|t| t.as_array_mut()) {
-            for t in arr.iter_mut() {
-                let Some(tm) = t.as_object_mut() else {
-                    continue;
-                };
-                let name = tm
-                    .get("name")
-                    .and_then(|n| n.as_str())
-                    .unwrap_or("")
-                    .to_string();
-                tm.insert(
-                    "description".into(),
-                    Value::String(format!("See \"## Tool: {name}\" in the reference image.")),
-                );
-                if let Some(schema) = tm.get("input_schema") {
-                    let stripped = schema_strip::strip(schema);
-                    if schema_strip::has_structure(&stripped) {
-                        tm.insert("input_schema".into(), stripped);
-                    }
-                    // else keep original: a bare {type:object} stub causes 400s.
-                }
-                tm.remove("cache_control");
-            }
-        }
-    }
-
-    // 3. Prepend image blocks to the first user message (system rejects images).
-    prepend_images_to_first_user(obj, &mut image_blocks);
-
-    info.compressed_chars += slab.len();
-    info.image_count += images.len();
-    info.image_bytes += image_bytes;
-    info.image_pixels += image_pixels;
-    info.dropped_chars += dropped;
-    info.relocated_cache_anchor = relocated;
-    *budget -= images.len();
-    "applied"
-}
-
-/// Prepend `images` to the first user message's content. Converts string
-/// content to a text block first; inserts a fresh user message if none exists.
-fn prepend_images_to_first_user(obj: &mut Map<String, Value>, images: &mut Vec<Value>) {
-    let msgs = obj
-        .entry("messages")
-        .or_insert_with(|| Value::Array(vec![]));
-    let Some(arr) = msgs.as_array_mut() else {
-        return;
-    };
-    let first_user = arr
-        .iter()
-        .position(|m| m.get("role").and_then(|r| r.as_str()) == Some("user"));
-
-    match first_user {
-        Some(idx) => {
-            let content = arr[idx].as_object_mut().and_then(|m| m.get_mut("content"));
-            match content {
-                Some(Value::String(s)) => {
-                    let text = std::mem::take(s);
-                    let mut blocks = vec![json!({ "type": "text", "text": text })];
-                    let mut new = std::mem::take(images);
-                    new.append(&mut blocks);
-                    arr[idx]
-                        .as_object_mut()
-                        .unwrap()
-                        .insert("content".into(), Value::Array(new));
-                }
-                Some(Value::Array(existing)) => {
-                    let mut new = std::mem::take(images);
-                    new.append(existing);
-                    *existing = new;
-                }
-                _ => {
-                    arr[idx]
-                        .as_object_mut()
-                        .unwrap()
-                        .insert("content".into(), Value::Array(std::mem::take(images)));
-                }
-            }
-        }
-        None => {
-            arr.insert(
-                0,
-                json!({ "role": "user", "content": std::mem::take(images) }),
-            );
-        }
-    }
-}
-
-/// Image large `<system-reminder>` text blocks in the first user message. These
-/// are per-turn injected context (env, hints) that Claude Code ships as separate
-/// text blocks; the big ones are pure token cost the model rarely needs to quote.
-fn apply_reminders(
-    root: &mut Value,
-    opts: &AnthropicOpts,
-    info: &mut TransformInfo,
-    budget: &mut usize,
-) {
-    let Some(arr) = root.get_mut("messages").and_then(|m| m.as_array_mut()) else {
-        return;
-    };
-    let Some(msg) = arr
-        .iter_mut()
-        .find(|m| m.get("role").and_then(|r| r.as_str()) == Some("user"))
-    else {
-        return;
-    };
-    let Some(content) = msg.get_mut("content").and_then(|c| c.as_array_mut()) else {
-        return; // string content: reminders arrive only as array blocks
-    };
-
-    let mut out: Vec<Value> = Vec::with_capacity(content.len());
-    for block in std::mem::take(content) {
-        let is_reminder_text = block.get("type").and_then(|t| t.as_str()) == Some("text")
-            && block.get("text").and_then(|t| t.as_str()).is_some_and(|t| {
-                t.contains("<system-reminder>") && t.len() >= opts.min_live_block_chars
-            });
-        if !is_reminder_text {
-            out.push(block);
-            continue;
-        }
-        let text = block
-            .get("text")
-            .and_then(|t| t.as_str())
-            .unwrap_or_default()
-            .to_string();
-        let cc = block.get("cache_control").cloned();
-        match render_live_block(&text, opts, cc, false, *budget) {
-            Some(r) => {
-                *budget -= r.img_count;
-                info.reminder_imgs += r.img_count;
-                info.image_count += r.img_count;
-                info.image_bytes += r.bytes;
-                info.image_pixels += r.pixels;
-                info.dropped_chars += r.dropped;
-                info.compressed_chars += text.len();
-                out.extend(r.blocks);
-            }
-            None => out.push(block),
-        }
-    }
-    *content = out;
-}
-
-/// Image large `tool_result` text content across every user message. tool_result
-/// output (find trees, file dumps, logs) is the bulk of agentic input. Skips
-/// `is_error` results (Anthropic rejects images inside those) and pages oversized
-/// content down to the image cap.
-fn apply_tool_results(
-    root: &mut Value,
-    opts: &AnthropicOpts,
-    info: &mut TransformInfo,
-    budget: &mut usize,
-) {
-    let Some(msgs) = root.get_mut("messages").and_then(|m| m.as_array_mut()) else {
-        return;
-    };
-    for msg in msgs.iter_mut() {
-        if *budget == 0 {
-            break;
-        }
-        let Some(blocks) = msg.get_mut("content").and_then(|c| c.as_array_mut()) else {
-            continue;
-        };
-        for block in blocks.iter_mut() {
-            let Some(bm) = block.as_object_mut() else {
-                continue;
-            };
-            if bm.get("type").and_then(|t| t.as_str()) != Some("tool_result") {
-                continue;
-            }
-            if bm.get("is_error").and_then(|e| e.as_bool()) == Some(true) {
-                continue; // images forbidden in error tool_results
-            }
-            // Don't clobber a tool_result that already carries an image block
-            // (e.g. a screenshot the tool returned) — tool_result_text only reads
-            // the text sub-blocks, so imaging here would silently drop that image.
-            if tool_result_has_image(bm.get("content")) {
-                continue;
-            }
-            let text = tool_result_text(bm.get("content"));
-            if text.len() < opts.min_live_block_chars {
-                continue;
-            }
-            // Cap each result at the per-result limit AND whatever total budget
-            // is left, so the aggregate can't exceed max_total_images.
-            let per_result = opts.max_images_per_tool_result.min(*budget);
-            if per_result == 0 {
-                break;
-            }
-            let (rendered, omitted) = truncate_for_budget(&text, per_result, opts);
-            let cc = bm.get("cache_control").cloned();
-            if let Some(r) = render_live_block(&rendered, opts, cc, true, *budget) {
-                *budget -= r.img_count;
-                if omitted > 0 {
-                    info.truncated_tool_results += 1;
-                    info.omitted_chars += omitted;
-                }
-                info.tool_result_imgs += r.img_count;
-                info.image_count += r.img_count;
-                info.image_bytes += r.bytes;
-                info.image_pixels += r.pixels;
-                info.dropped_chars += r.dropped;
-                info.compressed_chars += text.len();
-                bm.remove("cache_control"); // relocated onto the last image
-                bm.insert("content".into(), Value::Array(r.blocks));
-            }
-        }
-    }
-}
-
-/// True when a tool_result `content` array already holds an image block. Imaging
-/// such a result would drop that image (only text sub-blocks are flattened), so
-/// the caller skips it.
-fn tool_result_has_image(content: Option<&Value>) -> bool {
-    matches!(content, Some(Value::Array(blocks))
-        if blocks
-            .iter()
-            .any(|b| b.get("type").and_then(|t| t.as_str()) == Some("image")))
-}
-
-/// Flatten a tool_result `content` (string, or an array of text/other blocks)
-/// to a single text string for rendering.
-fn tool_result_text(content: Option<&Value>) -> String {
-    match content {
-        Some(Value::String(s)) => s.clone(),
-        Some(Value::Array(blocks)) => {
-            let mut out = String::new();
-            for b in blocks {
-                if let Some(t) = b.get("text").and_then(|t| t.as_str()) {
-                    if !out.is_empty() {
-                        out.push('\n');
-                    }
-                    out.push_str(t);
-                }
-            }
-            out
-        }
-        _ => String::new(),
-    }
-}
-
-/// Truncate `text` so it renders to at most `max_images` pages, keeping a 60/40
-/// head/tail split with a paging marker in the middle. Returns the (possibly
-/// truncated) text and the count of chars elided. Renders once to measure — the
-/// oversized path is rare, so the extra render is acceptable.
-fn truncate_for_budget(text: &str, max_images: usize, opts: &AnthropicOpts) -> (String, usize) {
-    let render_opts = RenderOpts {
-        cols: opts.cols,
-        max_height_px: opts.max_height_px,
-    };
-    let full = render_text(text, render_opts);
-    let cap = max_images.max(1);
-    if full.len() <= cap {
-        return (text.to_string(), 0);
-    }
-    let chars: Vec<char> = text.chars().collect();
-    // Start from the linear estimate, then shrink and RE-RENDER until it truly
-    // fits `cap` pages — the paging marker and heavy line-wrapping can push a
-    // linear estimate over, so the cap must be verified, not assumed.
-    let mut ratio = cap as f64 / full.len() as f64;
-    loop {
-        let keep = (((chars.len() as f64) * ratio) as usize).min(chars.len());
-        let head_len = keep * 6 / 10;
-        let tail_len = keep - head_len;
-        let head: String = chars[..head_len].iter().collect();
-        let tail: String = chars[chars.len() - tail_len..].iter().collect();
-        let omitted = chars.len() - head_len - tail_len;
-        let out = format!("{head}\n\n[... {omitted} chars omitted for length ...]\n\n{tail}");
-        if render_text(&out, render_opts).len() <= cap || ratio < 0.05 {
-            return (out, omitted);
-        }
-        ratio *= 0.8;
-    }
-}
-
-/// Banner text bracketing the collapsed-history image(s). Constant (byte-stable).
-const HISTORY_INTRO: &str = "Transcript of EARLIER conversation turns, rendered as images below. \
-Attribute each turn strictly by its <user>/<assistant> tag. This is PAST context, not the live request.\n";
-const HISTORY_OUTRO: &str =
-    "\n[End of earlier transcript. The live request follows in the messages below.]";
-
-/// Collapse the OLD closed-tool-call message prefix into ONE synthetic user
-/// message holding history image(s); keep the recent tail as text.
-///
-/// **Cache stability** is the whole risk here. Two guarantees keep the rendered
-/// PNG byte-identical across turns so Anthropic prompt-caches it instead of
-/// re-creating it every turn: (1) the collapse boundary is snapped DOWN to a
-/// `history_collapse_chunk` message grid, so it only advances in steps and the
-/// serialized text is stable for a whole window; (2) the serializer and renderer
-/// are pure functions of the message bytes (no timestamps/rng, thinking blocks
-/// dropped deterministically). If either breaks, this NET-LOSES money — hence
-/// default-off until validated live.
-///
-/// **Correctness**: only a tool-CLOSED prefix is collapsed (every `tool_use` has
-/// its matching `tool_result` within the range), so no tool call is ever
-/// orphaned. The first user message (which carries the slab images) is protected.
-///
-/// NOTE: the synthetic message is role `user`, which can place it adjacent to the
-/// protected first user message. The Anthropic Messages API accepts consecutive
-/// same-role messages (pxpipe relies on this in production); images require the
-/// user role, so this is unavoidable for a history-image message.
-fn apply_history(
-    root: &mut Value,
-    opts: &AnthropicOpts,
-    info: &mut TransformInfo,
-    budget: &mut usize,
-) {
-    let Some(messages) = root.get("messages").and_then(|m| m.as_array()) else {
-        return;
-    };
-    let len = messages.len();
-    // Protect the slab-bearing first user message: collapse starts after it.
-    let Some(first_user) = messages
-        .iter()
-        .position(|m| m.get("role").and_then(|r| r.as_str()) == Some("user"))
-    else {
-        return;
-    };
-    let protected = first_user + 1;
-    let cutoff = len.saturating_sub(opts.keep_tail_messages);
-    if cutoff <= protected {
-        return;
-    }
-    let Some(boundary) = find_closed_boundary(messages, cutoff, protected) else {
-        return;
-    };
-    // Snap DOWN to the chunk grid (relative to `protected`) for byte-stability.
-    let chunk = opts.history_collapse_chunk.max(1);
-    let grid = protected + ((boundary - protected) / chunk) * chunk;
-    // The grid line is NOT guaranteed tool-closed (parity shifts from text-only
-    // turns or parallel tool spans can leave it mid-open-span). Re-snap to the
-    // largest CLOSED boundary <= the grid line so no tool_use is orphaned into
-    // the history image; correctness beats the grid's cache-stability here.
-    let Some(snapped) = find_closed_boundary(messages, grid, protected) else {
-        return;
-    };
-    if snapped.saturating_sub(protected) < opts.min_collapse_prefix_messages {
-        return;
-    }
-
-    let text = messages_to_history_text(messages, protected, snapped);
-    if text.trim().is_empty() {
-        return;
-    }
-    let images = render_text(
-        &text,
-        RenderOpts {
-            cols: opts.cols,
-            max_height_px: opts.max_height_px,
-        },
-    );
-    if !gate::is_profitable(&images, text.chars().count(), opts.chars_per_token) {
-        return;
-    }
-    if images.len() > *budget {
-        return;
-    }
-    *budget -= images.len();
-
-    // Build the synthetic message content: intro, images, outro.
-    let mut content: Vec<Value> = Vec::with_capacity(images.len() + 2);
-    content.push(json!({ "type": "text", "text": HISTORY_INTRO }));
-    content.extend(images.iter().map(|im| image_block(&im.png)));
-    content.push(json!({ "type": "text", "text": HISTORY_OUTRO }));
-    let synthetic = json!({ "role": "user", "content": content });
-
-    let collapsed_turns = snapped - protected;
-    info.collapsed_turns = collapsed_turns;
-    info.collapsed_chars = text.len();
-    info.collapsed_images = images.len();
-    info.image_count += images.len();
-    info.image_bytes += images.iter().map(|im| im.png.len()).sum::<usize>();
-    info.image_pixels += images
-        .iter()
-        .map(|im| im.width as usize * im.height as usize)
-        .sum::<usize>();
-    info.dropped_chars += images.iter().map(|im| im.dropped).sum::<usize>();
-    info.compressed_chars += text.len();
-
-    // Splice: [0..protected] + synthetic + [snapped..].
-    let arr = root
-        .get_mut("messages")
-        .and_then(|m| m.as_array_mut())
-        .expect("messages was an array above");
-    arr.splice(protected..snapped, std::iter::once(synthetic));
-}
-
-/// Largest exclusive end `e` in `(from, cutoff]` where messages `[from..e)` open
-/// no tool call they don't also close. Returns `None` if none exists. Robust to
-/// interleaved/parallel tool calls via the open-id set.
-fn find_closed_boundary(messages: &[Value], cutoff: usize, from: usize) -> Option<usize> {
-    let mut open: std::collections::HashSet<String> = std::collections::HashSet::new();
-    let mut last_closed = None;
-    for (i, m) in messages.iter().enumerate().take(cutoff).skip(from) {
-        if let Some(blocks) = m.get("content").and_then(|c| c.as_array()) {
-            for b in blocks {
-                match b.get("type").and_then(|t| t.as_str()) {
-                    Some("tool_use") => {
-                        if let Some(id) = b.get("id").and_then(|i| i.as_str()) {
-                            open.insert(id.to_string());
-                        }
-                    }
-                    Some("tool_result") => {
-                        if let Some(id) = b.get("tool_use_id").and_then(|i| i.as_str()) {
-                            open.remove(id);
-                        }
-                    }
-                    _ => {}
-                }
-            }
-        }
-        if open.is_empty() {
-            last_closed = Some(i + 1);
-        }
-    }
-    last_closed
-}
-
-/// Serialize messages `[from..to)` to `<role>…</role>` XML text. thinking blocks
-/// dropped; tool_use/tool_result flattened; inline images become `[image]`.
-fn messages_to_history_text(messages: &[Value], from: usize, to: usize) -> String {
-    let mut out = String::new();
-    for m in &messages[from..to] {
-        let role = m.get("role").and_then(|r| r.as_str()).unwrap_or("user");
-        let body = flatten_content(m.get("content"));
-        out.push('<');
-        out.push_str(role);
-        out.push_str(">\n");
-        out.push_str(&body);
-        out.push_str("\n</");
-        out.push_str(role);
-        out.push_str(">\n");
-    }
-    out
-}
-
-/// Flatten one message's content to text: text verbatim, tool_use/tool_result to
-/// a compact marker, thinking dropped, inline images to `[image]`.
-fn flatten_content(content: Option<&Value>) -> String {
-    match content {
-        Some(Value::String(s)) => s.clone(),
-        Some(Value::Array(blocks)) => {
-            let mut parts: Vec<String> = Vec::new();
-            for b in blocks {
-                match b.get("type").and_then(|t| t.as_str()) {
-                    Some("text") => {
-                        if let Some(t) = b.get("text").and_then(|t| t.as_str()) {
-                            parts.push(t.to_string());
-                        }
-                    }
-                    Some("tool_use") => {
-                        let name = b.get("name").and_then(|n| n.as_str()).unwrap_or("");
-                        let input = b
-                            .get("input")
-                            .map(|v| serde_json::to_string(v).unwrap_or_default())
-                            .unwrap_or_default();
-                        parts.push(format!("[tool_use {name} {input}]"));
-                    }
-                    Some("tool_result") => {
-                        parts.push(format!(
-                            "[tool_result {}]",
-                            tool_result_text(b.get("content"))
-                        ));
-                    }
-                    Some("image") => parts.push("[image]".to_string()),
-                    // thinking / redacted_thinking / unknown: dropped.
-                    _ => {}
-                }
-            }
-            parts.join("\n")
-        }
-        _ => String::new(),
-    }
-}
-
-#[cfg(test)]
-mod tests {
-    use super::*;
-
-    fn big_system() -> String {
-        // ~14k chars with some notable identifiers for the factsheet.
-        let mut s = String::from("Operating rules. See src/main.rs and CONFIG_PATH env.\n");
-        s.push_str(&"Do the thing carefully and precisely. ".repeat(320));
-        s.push_str(" commit deadbeef1 flag --verbose");
-        s
-    }
-
-    #[test]
-    fn images_system_and_relocates_anchor() {
-        let mut root = json!({
-            "model": "claude-fable-5",
-            "system": [
-                { "type": "text", "text": big_system(), "cache_control": { "type": "ephemeral" } }
-            ],
-            "messages": [ { "role": "user", "content": "hi there" } ]
-        });
-        let info = transform(&mut root, &AnthropicOpts::default());
-        assert!(info.compressed, "reason={}", info.reason);
-        assert!(info.relocated_cache_anchor);
-
-        // system is now a short pointer string.
-        assert!(root["system"].is_string());
-        assert!(root["system"]
-            .as_str()
-            .unwrap()
-            .contains("first user message"));
-
-        // first user message leads with an image block carrying the anchor.
-        let content = root["messages"][0]["content"].as_array().unwrap();
-        assert_eq!(content[0]["type"], "image");
-        assert_eq!(content.last().unwrap()["type"], "text"); // original "hi there"
-        assert_eq!(content.last().unwrap()["text"], "hi there");
-        // anchor is on exactly the last image, nowhere in system.
-        let last_img = content.iter().rev().find(|b| b["type"] == "image").unwrap();
-        assert!(last_img.get("cache_control").is_some());
-    }
-
-    #[test]
-    fn tiny_system_passes_through_unchanged() {
-        let mut root = json!({
-            "model": "claude-fable-5",
-            "system": "be helpful",
-            "messages": [ { "role": "user", "content": "hi" } ]
-        });
-        let before = root.clone();
-        let info = transform(&mut root, &AnthropicOpts::default());
-        assert!(!info.compressed);
-        assert_eq!(info.reason, "below_min_chars");
-        assert_eq!(root, before, "skip path must not mutate the body");
-    }
-
-    #[test]
-    fn same_input_same_output_cache_stable() {
-        let make = || {
-            json!({
-                "model": "claude-fable-5",
-                "system": big_system(),
-                "messages": [ { "role": "user", "content": "go" } ]
-            })
-        };
-        let mut a = make();
-        let mut b = make();
-        transform(&mut a, &AnthropicOpts::default());
-        transform(&mut b, &AnthropicOpts::default());
-        assert_eq!(a, b, "transform must be deterministic (cache stability)");
-    }
-
-    #[test]
-    fn tools_stubbed_and_schema_stripped() {
-        let mut root = json!({
-            "model": "claude-fable-5",
-            "system": big_system(),
-            "tools": [{
-                "name": "edit_file",
-                "description": "very long tool description ".repeat(50),
-                "input_schema": {
-                    "type": "object",
-                    "description": "annotation",
-                    "properties": { "path": { "type": "string", "description": "p" } },
-                    "required": ["path"]
-                },
-                "cache_control": { "type": "ephemeral" }
-            }],
-            "messages": [ { "role": "user", "content": "go" } ]
-        });
-        let info = transform(&mut root, &AnthropicOpts::default());
-        assert!(info.compressed);
-        let tool = &root["tools"][0];
-        assert!(tool["description"]
-            .as_str()
-            .unwrap()
-            .contains("## Tool: edit_file"));
-        assert!(tool["input_schema"].get("description").is_none());
-        assert_eq!(tool["input_schema"]["required"], json!(["path"]));
-        assert!(tool.get("cache_control").is_none(), "tool anchor relocated");
-    }
-
-    /// Dense filler text large enough to clear the live-block gate.
-    fn big_text() -> String {
-        "log line with detail /var/run/app.sock port 8080 CODE_X 12345 ".repeat(300)
-    }
-
-    #[test]
-    fn images_large_reminder_block() {
-        let mut root = json!({
-            "model": "claude-fable-5",
-            "system": "small",
-            "messages": [{
-                "role": "user",
-                "content": [
-                    { "type": "text", "text": format!("<system-reminder>{}</system-reminder>", big_text()) },
-                    { "type": "text", "text": "the actual question" }
-                ]
-            }]
-        });
-        let info = transform(&mut root, &AnthropicOpts::default());
-        assert!(info.compressed);
-        assert!(info.reminder_imgs >= 1);
-        let content = root["messages"][0]["content"].as_array().unwrap();
-        assert_eq!(content[0]["type"], "image", "reminder replaced by image");
-        // The real question text survives untouched.
-        assert!(content.iter().any(|b| b["text"] == "the actual question"));
-    }
-
-    #[test]
-    fn images_large_tool_result_with_factsheet() {
-        let mut root = json!({
-            "model": "claude-fable-5",
-            "system": "small",
-            "messages": [{
-                "role": "user",
-                "content": [{
-                    "type": "tool_result",
-                    "tool_use_id": "tu_1",
-                    "content": big_text(),
-                    "cache_control": { "type": "ephemeral" }
-                }]
-            }]
-        });
-        let info = transform(&mut root, &AnthropicOpts::default());
-        assert!(info.compressed);
-        assert!(info.tool_result_imgs >= 1);
-        let tr = &root["messages"][0]["content"][0];
-        assert!(
-            tr.get("cache_control").is_none(),
-            "anchor relocated onto image"
-        );
-        let inner = tr["content"].as_array().unwrap();
-        assert_eq!(inner[0]["type"], "image");
-        // fact-sheet text block rides alongside the image (paths/ids survive OCR).
-        assert!(inner
-            .iter()
-            .any(|b| b["type"] == "text"
-                && b["text"].as_str().unwrap().contains("/var/run/app.sock")));
-    }
-
-    #[test]
-    fn skips_error_tool_result() {
-        let mut root = json!({
-            "model": "claude-fable-5",
-            "system": "small",
-            "messages": [{
-                "role": "user",
-                "content": [{
-                    "type": "tool_result",
-                    "tool_use_id": "tu_1",
-                    "is_error": true,
-                    "content": big_text()
-                }]
-            }]
-        });
-        let before = root.clone();
-        let info = transform(&mut root, &AnthropicOpts::default());
-        assert!(!info.compressed, "error tool_results must not be imaged");
-        assert_eq!(root, before);
-    }
-
-    #[test]
-    fn pages_oversized_tool_result() {
-        // Force a tiny image cap so a modest result trips the paging path.
-        let opts = AnthropicOpts {
-            max_images_per_tool_result: 1,
-            max_height_px: 80, // ~9 rows/page → many pages before truncation
-            ..AnthropicOpts::default()
-        };
-        let mut root = json!({
-            "model": "claude-fable-5",
-            "system": "small",
-            "messages": [{
-                "role": "user",
-                "content": [{
-                    "type": "tool_result",
-                    "tool_use_id": "tu_1",
-                    "content": big_text()
-                }]
-            }]
-        });
-        let info = transform(&mut root, &opts);
-        assert!(info.compressed);
-        assert_eq!(info.truncated_tool_results, 1);
-        assert!(info.omitted_chars > 0);
-    }
-
-    /// A conversation with `pairs` closed assistant(tool_use)/user(tool_result) turns.
-    fn convo(pairs: usize) -> Value {
-        let mut msgs = vec![json!({ "role": "user", "content": "start the task" })];
-        for i in 0..pairs {
-            msgs.push(json!({
-                "role": "assistant",
-                "content": [
-                    { "type": "text", "text": format!("step {i}") },
-                    { "type": "tool_use", "id": format!("tu_{i}"), "name": "run", "input": { "cmd": format!("do {i}") } }
-                ]
-            }));
-            msgs.push(json!({
-                "role": "user",
-                "content": [{
-                    "type": "tool_result",
-                    "tool_use_id": format!("tu_{i}"),
-                    "content": format!("output /path/file{i}.rs {}", "detail ".repeat(60))
-                }]
-            }));
-        }
-        json!({ "model": "claude-fable-5", "system": "small", "messages": msgs })
-    }
-
-    fn history_opts() -> AnthropicOpts {
-        AnthropicOpts {
-            compress_history: true,
-            // Isolate the history pass so tail tool_results don't also image.
-            compress_tool_results: false,
-            compress_reminders: false,
-            ..AnthropicOpts::default()
-        }
-    }
-
-    #[test]
-    fn collapses_closed_history_prefix() {
-        let mut root = convo(18); // 37 messages
-        let before_len = root["messages"].as_array().unwrap().len();
-        let info = transform(&mut root, &history_opts());
-        assert!(info.compressed, "reason={}", info.reason);
-        assert_eq!(info.collapsed_turns, 20, "snapped to the 20-message grid");
-        assert!(info.collapsed_images >= 1);
-
-        let msgs = root["messages"].as_array().unwrap();
-        assert!(msgs.len() < before_len, "prefix collapsed");
-        // First user message is protected (untouched).
-        assert_eq!(msgs[0]["content"], "start the task");
-        // Synthetic history message: intro text, then an image.
-        let syn = msgs[1]["content"].as_array().unwrap();
-        assert!(syn[0]["text"]
-            .as_str()
-            .unwrap()
-            .contains("EARLIER conversation"));
-        assert!(syn.iter().any(|b| b["type"] == "image"));
-        assert!(syn.last().unwrap()["text"]
-            .as_str()
-            .unwrap()
-            .contains("live request follows"));
-    }
-
-    #[test]
-    fn history_render_is_cache_stable() {
-        let mut a = convo(18);
-        let mut b = convo(18);
-        transform(&mut a, &history_opts());
-        transform(&mut b, &history_opts());
-        assert_eq!(a, b, "same conversation must collapse to identical bytes");
-    }
-
-    #[test]
-    fn short_history_not_collapsed() {
-        // Below min_collapse_prefix_messages (20) → left as text.
-        let mut root = convo(5); // 11 messages
-        let before = root.clone();
-        let info = transform(&mut root, &history_opts());
-        assert!(!info.compressed);
-        assert_eq!(root, before);
-    }
-
-    #[test]
-    fn total_image_budget_is_enforced() {
-        // Many large tool_results but a tiny total budget: imaging stops at the
-        // cap so the request can't exceed Anthropic's per-request image limit.
-        let mut msgs = vec![json!({ "role": "user", "content": "start" })];
-        for i in 0..10 {
-            msgs.push(json!({
-                "role": "user",
-                "content": [{ "type": "tool_result", "tool_use_id": format!("tu_{i}"), "content": big_text() }]
-            }));
-        }
-        let mut root = json!({ "model": "claude-fable-5", "system": "small", "messages": msgs });
-        let opts = AnthropicOpts {
-            max_total_images: 3,
-            ..AnthropicOpts::default()
-        };
-        let info = transform(&mut root, &opts);
-        assert!(info.compressed);
-        assert!(
-            info.image_count <= 3,
-            "aggregate image budget exceeded: {}",
-            info.image_count
-        );
-    }
-
-    #[test]
-    fn tool_result_carrying_an_image_is_left_alone() {
-        // A screenshot + long log in one tool_result: imaging the log would drop
-        // the screenshot, so the whole result must pass through untouched.
-        let mut root = json!({
-            "model": "claude-fable-5",
-            "system": "small",
-            "messages": [{
-                "role": "user",
-                "content": [{
-                    "type": "tool_result",
-                    "tool_use_id": "tu_1",
-                    "content": [
-                        { "type": "image", "source": { "type": "base64", "media_type": "image/png", "data": "AAAA" } },
-                        { "type": "text", "text": big_text() }
-                    ]
-                }]
-            }]
-        });
-        let before = root.clone();
-        let info = transform(&mut root, &AnthropicOpts::default());
-        assert!(
-            !info.compressed,
-            "tool_result with an image must not be imaged"
-        );
-        assert_eq!(root, before);
-    }
-
-    /// True unless a tool_result references a tool_use id not present as a real
-    /// block earlier in the message list (an orphan the API rejects).
-    fn no_orphaned_tool_results(root: &Value) -> bool {
-        let mut seen = std::collections::HashSet::new();
-        for m in root["messages"].as_array().unwrap() {
-            let Some(blocks) = m.get("content").and_then(|c| c.as_array()) else {
-                continue;
-            };
-            for b in blocks {
-                match b.get("type").and_then(|t| t.as_str()) {
-                    Some("tool_use") => {
-                        if let Some(id) = b.get("id").and_then(|i| i.as_str()) {
-                            seen.insert(id.to_string());
-                        }
-                    }
-                    Some("tool_result") => {
-                        if let Some(id) = b.get("tool_use_id").and_then(|i| i.as_str()) {
-                            if !seen.contains(id) {
-                                return false;
-                            }
-                        }
-                    }
-                    _ => {}
-                }
-            }
-        }
-        true
-    }
-
-    #[test]
-    fn history_snap_never_orphans_a_tool_result() {
-        // A text-only assistant turn right after the first user message shifts
-        // parity so the chunk-grid line (61) lands mid-pair on an OPEN tool_use;
-        // the snap must back off to the nearest closed boundary (60) instead of
-        // orphaning tu_29's tool_result into the tail.
-        let mut msgs = vec![json!({ "role": "user", "content": "start" })];
-        msgs.push(json!({ "role": "assistant", "content": [{ "type": "text", "text": "thinking out loud" }] }));
-        for i in 0..40 {
-            msgs.push(json!({
-                "role": "assistant",
-                "content": [
-                    { "type": "text", "text": format!("step {i}") },
-                    { "type": "tool_use", "id": format!("tu_{i}"), "name": "run", "input": { "cmd": format!("do {i}") } }
-                ]
-            }));
-            msgs.push(json!({
-                "role": "user",
-                "content": [{ "type": "tool_result", "tool_use_id": format!("tu_{i}"), "content": format!("out /p/f{i}.rs {}", "detail ".repeat(60)) }]
-            }));
-        }
-        let mut root = json!({ "model": "claude-fable-5", "system": "small", "messages": msgs });
-        let info = transform(&mut root, &history_opts());
-        assert!(info.compressed, "reason={}", info.reason);
-        assert!(
-            no_orphaned_tool_results(&root),
-            "history collapse orphaned a tool_result"
-        );
-    }
-
-    #[test]
-    fn open_tool_call_not_crossed() {
-        // Last prefix turn leaves a tool_use unmatched (open); the boundary must
-        // stop before it so no tool call is orphaned into the image.
-        let mut root = convo(18);
-        // Drop the tool_result of an early pair to open a call at message 4.
-        root["messages"][4] = json!({ "role": "user", "content": "no tool result here" });
-        let info = transform(&mut root, &history_opts());
-        // With an open call at msg 3 (tu_1) never closed, the closed boundary
-        // can't advance past msg 2, so the 20-message grid step never fills.
-        assert!(!info.compressed || info.collapsed_turns == 0);
-    }
-}
diff --git a/crates/pxpipe/src/transform/anthropic/common.rs b/crates/pxpipe/src/transform/anthropic/common.rs
new file mode 100644
index 0000000..ed2fc5f
--- /dev/null
+++ b/crates/pxpipe/src/transform/anthropic/common.rs
@@ -0,0 +1,340 @@
+use crate::render::{render_text, RenderOpts};
+use crate::transform::factsheet;
+use crate::transform::gate;
+use base64::Engine;
+use serde_json::{json, Map, Value};
+
+#[derive(Clone, Copy, Debug)]
+pub struct AnthropicOpts {
+    pub cols: usize,
+    pub max_height_px: usize,
+    pub chars_per_token: f64,
+    /// Skip entirely below this many slab chars (per-image cost dominates).
+    pub min_compress_chars: usize,
+    /// Move tool descriptions/schema annotations into the imaged Tool Reference.
+    pub compress_tools: bool,
+    /// Image large `<system-reminder>` text blocks in the first user message.
+    pub compress_reminders: bool,
+    /// Image large `tool_result` text content across all user messages.
+    pub compress_tool_results: bool,
+    /// Per-block char floor for reminder/tool_result imaging.
+    pub min_live_block_chars: usize,
+    /// Cap on images per tool_result; source is truncated (with a paging marker)
+    /// above this so one giant result can't blow Anthropic's 100-image/request cap.
+    pub max_images_per_tool_result: usize,
+    /// Aggregate ceiling on TOTAL image blocks in the outgoing request
+    /// (client-supplied + every pxpipe pass combined). Anthropic rejects requests
+    /// past ~100 images, so imaging stops once this budget is exhausted and the
+    /// remaining regions pass through as text. The per-tool_result cap only bounds
+    /// one result; this bounds the sum.
+    pub max_total_images: usize,
+    /// Collapse the OLD closed-tool-call conversation prefix into history image(s),
+    /// keeping the recent tail as text. Default OFF — highest cache-stability risk
+    /// (see `apply_history`); gate on live validation before enabling by default.
+    pub compress_history: bool,
+    /// Trailing messages kept as live text (never collapsed).
+    pub keep_tail_messages: usize,
+    /// Minimum collapsible messages; below this the cache-amortization math doesn't pay.
+    pub min_collapse_prefix_messages: usize,
+    /// Snap the collapse boundary to this message-grid so the rendered history PNG
+    /// stays byte-identical across turns and keeps hitting the prompt cache.
+    pub history_collapse_chunk: usize,
+}
+
+impl Default for AnthropicOpts {
+    fn default() -> Self {
+        Self {
+            cols: crate::render::RenderOpts::default().cols,
+            max_height_px: crate::render::RenderOpts::default().max_height_px,
+            // Slab is dense; 2.0 is conservative vs the real ~1.9 (see pxpipe
+            // SLAB_CHARS_PER_TOKEN) so the gate biases toward pass-through.
+            chars_per_token: 2.0,
+            min_compress_chars: 6_000,
+            compress_tools: true,
+            compress_reminders: true,
+            compress_tool_results: true,
+            min_live_block_chars: 2_000,
+            max_images_per_tool_result: 10,
+            // Leave headroom under Anthropic's 100-image/request cap for a few
+            // client-supplied images the counter may miss on unusual shapes.
+            max_total_images: 95,
+            compress_history: false,
+            keep_tail_messages: 8,
+            min_collapse_prefix_messages: 20,
+            history_collapse_chunk: 20,
+        }
+    }
+}
+
+/// Neutral framing header co-rendered into the slab image. Deliberately avoids
+/// "system prompt"/"authoritative" wording — pxpipe found that phrasing trips
+/// Anthropic's reasoning_extraction refusal (reads as a replayed/extracted
+/// prompt). First-party, matter-of-fact framing keeps the model reading it as
+/// this session's own reference material.
+pub(crate) const SLAB_HEADER: &str =
+    "Reference context for this session, rendered as an image. Read it as text.\n\n";
+
+/// Chars-per-token for the live-region gate (reminders, tool_results). Higher
+/// than the slab's 2.0 because that content is prose/log, not dense config —
+/// pxpipe uses 4 here, which is conservative (biases toward pass-through).
+pub(crate) const LIVE_CHARS_PER_TOKEN: f64 = 4.0;
+
+/// Banner text bracketing the collapsed-history image(s). Constant (byte-stable).
+pub(crate) const HISTORY_INTRO: &str = "Transcript of EARLIER conversation turns, rendered as images below. \
+Attribute each turn strictly by its <user>/<assistant> tag. This is PAST context, not the live request.\n";
+pub(crate) const HISTORY_OUTRO: &str =
+    "\n[End of earlier transcript. The live request follows in the messages below.]";
+
+/// Concat the text of a system field (string or block array) and return
+/// `(text, last_cache_control)`. The cache_control is the caller's prefix
+/// breakpoint we will relocate onto the image.
+pub(crate) fn read_system(system: Option<&Value>) -> (String, Option<Value>) {
+    match system {
+        Some(Value::String(s)) => (s.clone(), None),
+        Some(Value::Array(blocks)) => {
+            let mut text = String::new();
+            let mut cc = None;
+            for b in blocks {
+                if let Some(t) = b.get("text").and_then(|t| t.as_str()) {
+                    if !text.is_empty() {
+                        text.push('\n');
+                    }
+                    text.push_str(t);
+                }
+                if let Some(c) = b.get("cache_control") {
+                    cc = Some(c.clone()); // last one wins (latest in prefix)
+                }
+            }
+            (text, cc)
+        }
+        _ => (String::new(), None),
+    }
+}
+
+/// Render one tool's full doc (prose + compact schema) for the imaged reference.
+pub(crate) fn render_tool_doc(tool: &Value) -> String {
+    let name = tool.get("name").and_then(|n| n.as_str()).unwrap_or("");
+    let desc = tool
+        .get("description")
+        .and_then(|d| d.as_str())
+        .unwrap_or("");
+    let schema = tool
+        .get("input_schema")
+        .map(|s| serde_json::to_string(s).unwrap_or_default())
+        .unwrap_or_default();
+    format!("## Tool: {name}\n{desc}\n```json\n{schema}\n```\n")
+}
+
+/// Build a base64 image content block from PNG bytes.
+pub(crate) fn image_block(png: &[u8]) -> Value {
+    let data = base64::engine::general_purpose::STANDARD.encode(png);
+    json!({
+        "type": "image",
+        "source": { "type": "base64", "media_type": "image/png", "data": data }
+    })
+}
+
+/// Count image blocks already present in the request (client-supplied, incl.
+/// images nested inside `tool_result` content), so the added-image budget is
+/// measured against the true outgoing total under Anthropic's ~100-image cap.
+pub(crate) fn count_existing_images(root: &Value) -> usize {
+    let Some(msgs) = root.get("messages").and_then(|m| m.as_array()) else {
+        return 0;
+    };
+    let is_image = |b: &Value| b.get("type").and_then(|t| t.as_str()) == Some("image");
+    let mut n = 0;
+    for m in msgs {
+        let Some(blocks) = m.get("content").and_then(|c| c.as_array()) else {
+            continue;
+        };
+        for b in blocks {
+            match b.get("type").and_then(|t| t.as_str()) {
+                Some("image") => n += 1,
+                Some("tool_result") => {
+                    if let Some(inner) = b.get("content").and_then(|c| c.as_array()) {
+                        n += inner.iter().filter(|x| is_image(x)).count();
+                    }
+                }
+                _ => {}
+            }
+        }
+    }
+    n
+}
+
+/// Prepend `images` to the first user message's content. Converts string
+/// content to a text block first; inserts a fresh user message if none exists.
+pub(crate) fn prepend_images_to_first_user(obj: &mut Map<String, Value>, images: &mut Vec<Value>) {
+    let msgs = obj
+        .entry("messages")
+        .or_insert_with(|| Value::Array(vec![]));
+    let Some(arr) = msgs.as_array_mut() else {
+        return;
+    };
+    let first_user = arr
+        .iter()
+        .position(|m| m.get("role").and_then(|r| r.as_str()) == Some("user"));
+
+    match first_user {
+        Some(idx) => {
+            let content = arr[idx].as_object_mut().and_then(|m| m.get_mut("content"));
+            match content {
+                Some(Value::String(s)) => {
+                    let text = std::mem::take(s);
+                    let mut blocks = vec![json!({ "type": "text", "text": text })];
+                    let mut new = std::mem::take(images);
+                    new.append(&mut blocks);
+                    arr[idx]
+                        .as_object_mut()
+                        .unwrap()
+                        .insert("content".into(), Value::Array(new));
+                }
+                Some(Value::Array(existing)) => {
+                    let mut new = std::mem::take(images);
+                    new.append(existing);
+                    *existing = new;
+                }
+                _ => {
+                    arr[idx]
+                        .as_object_mut()
+                        .unwrap()
+                        .insert("content".into(), Value::Array(std::mem::take(images)));
+                }
+            }
+        }
+        None => {
+            arr.insert(
+                0,
+                json!({ "role": "user", "content": std::mem::take(images) }),
+            );
+        }
+    }
+}
+
+/// Rendered-live-block accumulators, folded into `TransformInfo` by the caller.
+pub(crate) struct LiveRender {
+    pub(crate) blocks: Vec<Value>,
+    pub(crate) bytes: usize,
+    pub(crate) pixels: usize,
+    pub(crate) dropped: usize,
+    pub(crate) img_count: usize,
+}
+
+/// Render `text` to image blocks for a live region (reminder / tool_result),
+/// gated on profitability AND the remaining `budget` of new images. Moves `cc`
+/// (the block's cache_control, if any) onto the last image and optionally
+/// appends a verbatim fact-sheet text block. Returns `None` (leave the block as
+/// text) when empty, not profitable, or over budget.
+pub(crate) fn render_live_block(
+    text: &str,
+    opts: &AnthropicOpts,
+    cc: Option<Value>,
+    append_factsheet: bool,
+    budget: usize,
+) -> Option<LiveRender> {
+    let images = render_text(
+        text,
+        RenderOpts {
+            cols: opts.cols,
+            max_height_px: opts.max_height_px,
+        },
+    );
+    let chars = text.chars().count();
+    if images.len() > budget {
+        return None;
+    }
+    if !gate::is_profitable(&images, chars, LIVE_CHARS_PER_TOKEN) {
+        return None;
+    }
+    let mut blocks: Vec<Value> = images.iter().map(|im| image_block(&im.png)).collect();
+    if let (Some(cc), Some(last)) = (cc, blocks.last_mut()) {
+        if let Some(o) = last.as_object_mut() {
+            o.insert("cache_control".into(), cc);
+        }
+    }
+    if append_factsheet {
+        let fact = factsheet::fact_sheet_text(text);
+        if !fact.is_empty() {
+            blocks.push(json!({ "type": "text", "text": fact }));
+        }
+    }
+    Some(LiveRender {
+        blocks,
+        bytes: images.iter().map(|im| im.png.len()).sum(),
+        pixels: images
+            .iter()
+            .map(|im| im.width as usize * im.height as usize)
+            .sum(),
+        dropped: images.iter().map(|im| im.dropped).sum(),
+        img_count: images.len(),
+    })
+}
+
+/// Flatten a tool_result `content` (string, or an array of text/other blocks)
+/// to a single text string for rendering.
+pub(crate) fn tool_result_text(content: Option<&Value>) -> String {
+    match content {
+        Some(Value::String(s)) => s.clone(),
+        Some(Value::Array(blocks)) => {
+            let mut out = String::new();
+            for b in blocks {
+                if let Some(t) = b.get("text").and_then(|t| t.as_str()) {
+                    if !out.is_empty() {
+                        out.push('\n');
+                    }
+                    out.push_str(t);
+                }
+            }
+            out
+        }
+        _ => String::new(),
+    }
+}
+
+/// True when a tool_result `content` array already holds an image block. Imaging
+/// such a result would drop that image (only text sub-blocks are flattened), so
+/// the caller skips it.
+pub(crate) fn tool_result_has_image(content: Option<&Value>) -> bool {
+    matches!(content, Some(Value::Array(blocks))
+        if blocks
+            .iter()
+            .any(|b| b.get("type").and_then(|t| t.as_str()) == Some("image")))
+}
+
+/// Truncate `text` so it renders to at most `max_images` pages, keeping a 60/40
+/// head/tail split with a paging marker in the middle. Returns the (possibly
+/// truncated) text and the count of chars elided. Renders once to measure — the
+/// oversized path is rare, so the extra render is acceptable.
+pub(crate) fn truncate_for_budget(
+    text: &str,
+    max_images: usize,
+    opts: &AnthropicOpts,
+) -> (String, usize) {
+    let render_opts = RenderOpts {
+        cols: opts.cols,
+        max_height_px: opts.max_height_px,
+    };
+    let full = render_text(text, render_opts);
+    let cap = max_images.max(1);
+    if full.len() <= cap {
+        return (text.to_string(), 0);
+    }
+    let chars: Vec<char> = text.chars().collect();
+    // Start from the linear estimate, then shrink and RE-RENDER until it truly
+    // fits `cap` pages — the paging marker and heavy line-wrapping can push a
+    // linear estimate over, so the cap must be verified, not assumed.
+    let mut ratio = cap as f64 / full.len() as f64;
+    loop {
+        let keep = (((chars.len() as f64) * ratio) as usize).min(chars.len());
+        let head_len = keep * 6 / 10;
+        let tail_len = keep - head_len;
+        let head: String = chars[..head_len].iter().collect();
+        let tail: String = chars[chars.len() - tail_len..].iter().collect();
+        let omitted = chars.len() - head_len - tail_len;
+        let out = format!("{head}\n\n[... {omitted} chars omitted for length ...]\n\n{tail}");
+        if render_text(&out, render_opts).len() <= cap || ratio < 0.05 {
+            return (out, omitted);
+        }
+        ratio *= 0.8;
+    }
+}
diff --git a/crates/pxpipe/src/transform/anthropic/history.rs b/crates/pxpipe/src/transform/anthropic/history.rs
new file mode 100644
index 0000000..6fe69b3
--- /dev/null
+++ b/crates/pxpipe/src/transform/anthropic/history.rs
@@ -0,0 +1,199 @@
+use super::common::{image_block, tool_result_text, AnthropicOpts, HISTORY_INTRO, HISTORY_OUTRO};
+use crate::render::{render_text, RenderOpts};
+use crate::transform::gate;
+use crate::transform::info::TransformInfo;
+use serde_json::{json, Value};
+
+/// Collapse the OLD closed-tool-call message prefix into ONE synthetic user
+/// message holding history image(s); keep the recent tail as text.
+///
+/// **Cache stability** is the whole risk here. Two guarantees keep the rendered
+/// PNG byte-identical across turns so Anthropic prompt-caches it instead of
+/// re-creating it every turn: (1) the collapse boundary is snapped DOWN to a
+/// `history_collapse_chunk` message grid, so it only advances in steps and the
+/// serialized text is stable for a whole window; (2) the serializer and renderer
+/// are pure functions of the message bytes (no timestamps/rng, thinking blocks
+/// dropped deterministically). If either breaks, this NET-LOSES money — hence
+/// default-off until validated live.
+///
+/// **Correctness**: only a tool-CLOSED prefix is collapsed (every `tool_use` has
+/// its matching `tool_result` within the range), so no tool call is ever
+/// orphaned. The first user message (which carries the slab images) is protected.
+///
+/// NOTE: the synthetic message is role `user`, which can place it adjacent to the
+/// protected first user message. The Anthropic Messages API accepts consecutive
+/// same-role messages (pxpipe relies on this in production); images require the
+/// user role, so this is unavoidable for a history-image message.
+pub(crate) fn apply_history(
+    root: &mut Value,
+    opts: &AnthropicOpts,
+    info: &mut TransformInfo,
+    budget: &mut usize,
+) {
+    let Some(messages) = root.get("messages").and_then(|m| m.as_array()) else {
+        return;
+    };
+    let len = messages.len();
+    // Protect the slab-bearing first user message: collapse starts after it.
+    let Some(first_user) = messages
+        .iter()
+        .position(|m| m.get("role").and_then(|r| r.as_str()) == Some("user"))
+    else {
+        return;
+    };
+    let protected = first_user + 1;
+    let cutoff = len.saturating_sub(opts.keep_tail_messages);
+    if cutoff <= protected {
+        return;
+    }
+    let Some(boundary) = find_closed_boundary(messages, cutoff, protected) else {
+        return;
+    };
+    // Snap DOWN to the chunk grid (relative to `protected`) for byte-stability.
+    let chunk = opts.history_collapse_chunk.max(1);
+    let grid = protected + ((boundary - protected) / chunk) * chunk;
+    // The grid line is NOT guaranteed tool-closed (parity shifts from text-only
+    // turns or parallel tool spans can leave it mid-open-span). Re-snap to the
+    // largest CLOSED boundary <= the grid line so no tool_use is orphaned into
+    // the history image; correctness beats the grid's cache-stability here.
+    let Some(snapped) = find_closed_boundary(messages, grid, protected) else {
+        return;
+    };
+    if snapped.saturating_sub(protected) < opts.min_collapse_prefix_messages {
+        return;
+    }
+
+    let text = messages_to_history_text(messages, protected, snapped);
+    if text.trim().is_empty() {
+        return;
+    }
+    let images = render_text(
+        &text,
+        RenderOpts {
+            cols: opts.cols,
+            max_height_px: opts.max_height_px,
+        },
+    );
+    if !gate::is_profitable(&images, text.chars().count(), opts.chars_per_token) {
+        return;
+    }
+    if images.len() > *budget {
+        return;
+    }
+    *budget -= images.len();
+
+    // Build the synthetic message content: intro, images, outro.
+    let mut content: Vec<Value> = Vec::with_capacity(images.len() + 2);
+    content.push(json!({ "type": "text", "text": HISTORY_INTRO }));
+    content.extend(images.iter().map(|im| image_block(&im.png)));
+    content.push(json!({ "type": "text", "text": HISTORY_OUTRO }));
+    let synthetic = json!({ "role": "user", "content": content });
+
+    let collapsed_turns = snapped - protected;
+    info.collapsed_turns = collapsed_turns;
+    info.collapsed_chars = text.len();
+    info.collapsed_images = images.len();
+    info.image_count += images.len();
+    info.image_bytes += images.iter().map(|im| im.png.len()).sum::<usize>();
+    info.image_pixels += images
+        .iter()
+        .map(|im| im.width as usize * im.height as usize)
+        .sum::<usize>();
+    info.dropped_chars += images.iter().map(|im| im.dropped).sum::<usize>();
+    info.compressed_chars += text.len();
+
+    // Splice: [0..protected] + synthetic + [snapped..].
+    let arr = root
+        .get_mut("messages")
+        .and_then(|m| m.as_array_mut())
+        .expect("messages was an array above");
+    arr.splice(protected..snapped, std::iter::once(synthetic));
+}
+
+/// Largest exclusive end `e` in `(from, cutoff]` where messages `[from..e)` open
+/// no tool call they don't also close. Returns `None` if none exists. Robust to
+/// interleaved/parallel tool calls via the open-id set.
+fn find_closed_boundary(messages: &[Value], cutoff: usize, from: usize) -> Option<usize> {
+    let mut open: std::collections::HashSet<String> = std::collections::HashSet::new();
+    let mut last_closed = None;
+    for (i, m) in messages.iter().enumerate().take(cutoff).skip(from) {
+        if let Some(blocks) = m.get("content").and_then(|c| c.as_array()) {
+            for b in blocks {
+                match b.get("type").and_then(|t| t.as_str()) {
+                    Some("tool_use") => {
+                        if let Some(id) = b.get("id").and_then(|i| i.as_str()) {
+                            open.insert(id.to_string());
+                        }
+                    }
+                    Some("tool_result") => {
+                        if let Some(id) = b.get("tool_use_id").and_then(|i| i.as_str()) {
+                            open.remove(id);
+                        }
+                    }
+                    _ => {}
+                }
+            }
+        }
+        if open.is_empty() {
+            last_closed = Some(i + 1);
+        }
+    }
+    last_closed
+}
+
+/// Serialize messages `[from..to)` to `<role>…</role>` XML text. thinking blocks
+/// dropped; tool_use/tool_result flattened; inline images become `[image]`.
+fn messages_to_history_text(messages: &[Value], from: usize, to: usize) -> String {
+    let mut out = String::new();
+    for m in &messages[from..to] {
+        let role = m.get("role").and_then(|r| r.as_str()).unwrap_or("user");
+        let body = flatten_content(m.get("content"));
+        out.push('<');
+        out.push_str(role);
+        out.push_str(">\n");
+        out.push_str(&body);
+        out.push_str("\n</");
+        out.push_str(role);
+        out.push_str(">\n");
+    }
+    out
+}
+
+/// Flatten one message's content to text: text verbatim, tool_use/tool_result to
+/// a compact marker, thinking dropped, inline images to `[image]`.
+fn flatten_content(content: Option<&Value>) -> String {
+    match content {
+        Some(Value::String(s)) => s.clone(),
+        Some(Value::Array(blocks)) => {
+            let mut parts: Vec<String> = Vec::new();
+            for b in blocks {
+                match b.get("type").and_then(|t| t.as_str()) {
+                    Some("text") => {
+                        if let Some(t) = b.get("text").and_then(|t| t.as_str()) {
+                            parts.push(t.to_string());
+                        }
+                    }
+                    Some("tool_use") => {
+                        let name = b.get("name").and_then(|n| n.as_str()).unwrap_or("");
+                        let input = b
+                            .get("input")
+                            .map(|v| serde_json::to_string(v).unwrap_or_default())
+                            .unwrap_or_default();
+                        parts.push(format!("[tool_use {name} {input}]"));
+                    }
+                    Some("tool_result") => {
+                        parts.push(format!(
+                            "[tool_result {}]",
+                            tool_result_text(b.get("content"))
+                        ));
+                    }
+                    Some("image") => parts.push("[image]".to_string()),
+                    // thinking / redacted_thinking / unknown: dropped.
+                    _ => {}
+                }
+            }
+            parts.join("\n")
+        }
+        _ => String::new(),
+    }
+}
diff --git a/crates/pxpipe/src/transform/anthropic/mod.rs b/crates/pxpipe/src/transform/anthropic/mod.rs
new file mode 100644
index 0000000..aa26094
--- /dev/null
+++ b/crates/pxpipe/src/transform/anthropic/mod.rs
@@ -0,0 +1,53 @@
+pub mod common;
+pub mod history;
+pub mod reminders;
+pub mod slab;
+pub mod tool_results;
+
+#[cfg(test)]
+mod tests;
+
+use crate::transform::info::TransformInfo;
+use serde_json::Value;
+
+pub use common::AnthropicOpts;
+
+/// Transform `root` (a parsed Anthropic Messages body) in place. Returns info;
+/// on any full skip `root` is left byte-identical to the input. Three
+/// independent passes — static slab, `<system-reminder>` blocks, and
+/// `tool_result` content — so a request below the slab floor can still get its
+/// live regions imaged (and vice-versa).
+pub fn transform(root: &mut Value, opts: &AnthropicOpts) -> TransformInfo {
+    if !root.is_object() {
+        return TransformInfo::skipped("parse_error");
+    }
+    let mut info = TransformInfo::default();
+    // NEW-image budget: total ceiling minus images the client already sent, so
+    // the combined passes never push the request past Anthropic's ~100-image cap.
+    let mut budget = opts
+        .max_total_images
+        .saturating_sub(common::count_existing_images(root));
+    let slab_reason = slab::apply_slab(root, opts, &mut info, &mut budget);
+    // History runs BEFORE the live-region passes: it serializes the OLD message
+    // prefix to text, so tool_result imaging must not have already replaced that
+    // content with `[image]` placeholders. Reminders/tool_results then image only
+    // what survives (the protected first message + the live tail).
+    if opts.compress_history {
+        history::apply_history(root, opts, &mut info, &mut budget);
+    }
+    if opts.compress_reminders {
+        reminders::apply_reminders(root, opts, &mut info, &mut budget);
+    }
+    if opts.compress_tool_results {
+        tool_results::apply_tool_results(root, opts, &mut info, &mut budget);
+    }
+    info.compressed = info.image_count > 0;
+    // "applied" when anything imaged; otherwise report why the slab (the primary
+    // path) declined.
+    info.reason = if info.compressed {
+        "applied"
+    } else {
+        slab_reason
+    };
+    info
+}
diff --git a/crates/pxpipe/src/transform/anthropic/reminders.rs b/crates/pxpipe/src/transform/anthropic/reminders.rs
new file mode 100644
index 0000000..4d71eba
--- /dev/null
+++ b/crates/pxpipe/src/transform/anthropic/reminders.rs
@@ -0,0 +1,58 @@
+use super::common::{render_live_block, AnthropicOpts};
+use crate::transform::info::TransformInfo;
+use serde_json::Value;
+
+/// Image large `<system-reminder>` text blocks in the first user message. These
+/// are per-turn injected context (env, hints) that Claude Code ships as separate
+/// text blocks; the big ones are pure token cost the model rarely needs to quote.
+pub(crate) fn apply_reminders(
+    root: &mut Value,
+    opts: &AnthropicOpts,
+    info: &mut TransformInfo,
+    budget: &mut usize,
+) {
+    let Some(arr) = root.get_mut("messages").and_then(|m| m.as_array_mut()) else {
+        return;
+    };
+    let Some(msg) = arr
+        .iter_mut()
+        .find(|m| m.get("role").and_then(|r| r.as_str()) == Some("user"))
+    else {
+        return;
+    };
+    let Some(content) = msg.get_mut("content").and_then(|c| c.as_array_mut()) else {
+        return; // string content: reminders arrive only as array blocks
+    };
+
+    let mut out: Vec<Value> = Vec::with_capacity(content.len());
+    for block in std::mem::take(content) {
+        let is_reminder_text = block.get("type").and_then(|t| t.as_str()) == Some("text")
+            && block.get("text").and_then(|t| t.as_str()).is_some_and(|t| {
+                t.contains("<system-reminder>") && t.len() >= opts.min_live_block_chars
+            });
+        if !is_reminder_text {
+            out.push(block);
+            continue;
+        }
+        let text = block
+            .get("text")
+            .and_then(|t| t.as_str())
+            .unwrap_or_default()
+            .to_string();
+        let cc = block.get("cache_control").cloned();
+        match render_live_block(&text, opts, cc, false, *budget) {
+            Some(r) => {
+                *budget -= r.img_count;
+                info.reminder_imgs += r.img_count;
+                info.image_count += r.img_count;
+                info.image_bytes += r.bytes;
+                info.image_pixels += r.pixels;
+                info.dropped_chars += r.dropped;
+                info.compressed_chars += text.len();
+                out.extend(r.blocks);
+            }
+            None => out.push(block),
+        }
+    }
+    *content = out;
+}
diff --git a/crates/pxpipe/src/transform/anthropic/slab.rs b/crates/pxpipe/src/transform/anthropic/slab.rs
new file mode 100644
index 0000000..6373cd7
--- /dev/null
+++ b/crates/pxpipe/src/transform/anthropic/slab.rs
@@ -0,0 +1,151 @@
+use super::common::{
+    image_block, prepend_images_to_first_user, read_system, render_tool_doc, AnthropicOpts,
+    SLAB_HEADER,
+};
+use crate::render::{render_text, RenderOpts};
+use crate::transform::factsheet;
+use crate::transform::gate;
+use crate::transform::info::TransformInfo;
+use crate::transform::schema_strip;
+use serde_json::Value;
+
+/// Static system+tools slab pass. Returns the skip reason (or "applied"); only
+/// mutates `root` / fills `info` when profitable.
+pub(crate) fn apply_slab(
+    root: &mut Value,
+    opts: &AnthropicOpts,
+    info: &mut TransformInfo,
+    budget: &mut usize,
+) -> &'static str {
+    let (system_text, system_cc) = read_system(root.get("system"));
+
+    // Capture a tool cache_control as a fallback anchor (tools sit before system
+    // in the cache prefix, so system's wins when both exist).
+    let tools_present = opts.compress_tools
+        && root
+            .get("tools")
+            .and_then(|t| t.as_array())
+            .is_some_and(|a| !a.is_empty());
+    let mut tool_cc = None;
+    let mut tool_ref = String::new();
+    if tools_present {
+        if let Some(arr) = root.get("tools").and_then(|t| t.as_array()) {
+            for t in arr {
+                tool_ref.push_str(&render_tool_doc(t));
+                if let Some(c) = t.get("cache_control") {
+                    tool_cc = Some(c.clone());
+                }
+            }
+        }
+    }
+
+    // Assemble the slab: header + system + tool reference.
+    let mut slab = String::with_capacity(system_text.len() + tool_ref.len() + 64);
+    slab.push_str(SLAB_HEADER);
+    slab.push_str(&system_text);
+    if !tool_ref.is_empty() {
+        slab.push_str("\n\n# Tool Reference\n");
+        slab.push_str(&tool_ref);
+    }
+
+    let slab_chars = slab.chars().count();
+    // Nothing meaningful to image (no system text and no tools).
+    if system_text.trim().is_empty() && tool_ref.is_empty() {
+        return "no_slab";
+    }
+    if slab_chars < opts.min_compress_chars {
+        return "below_min_chars";
+    }
+
+    let images = render_text(
+        &slab,
+        RenderOpts {
+            cols: opts.cols,
+            max_height_px: opts.max_height_px,
+        },
+    );
+    if !gate::is_profitable(&images, slab_chars, opts.chars_per_token) {
+        return "not_profitable";
+    }
+    if images.len() > *budget {
+        return "image_budget";
+    }
+
+    // ---- commit: mutate root ------------------------------------------------
+    let anchor = system_cc.or(tool_cc); // relocate this onto the last image
+    let fact = factsheet::fact_sheet_text(&slab);
+
+    let mut image_blocks: Vec<Value> = images.iter().map(|im| image_block(&im.png)).collect();
+    let image_bytes: usize = images.iter().map(|im| im.png.len()).sum();
+    let image_pixels: usize = images
+        .iter()
+        .map(|im| im.width as usize * im.height as usize)
+        .sum();
+    let dropped: usize = images.iter().map(|im| im.dropped).sum();
+
+    // Relocate the caller's cache breakpoint onto the LAST image so the whole
+    // imaged prefix caches as one stable segment. pxpipe never *adds* a marker.
+    let relocated = if let (Some(cc), Some(last)) = (anchor, image_blocks.last_mut()) {
+        if let Some(obj) = last.as_object_mut() {
+            obj.insert("cache_control".into(), cc);
+        }
+        true
+    } else {
+        false
+    };
+
+    let obj = root.as_object_mut().expect("checked is_object above");
+
+    // 1. system -> short pointer (+ factsheet). Removes original cache_control
+    //    (relocated onto the image) since we're replacing the whole field.
+    let mut pointer = String::from(
+        "[Your reference context for this session is provided as an image in the first user message. Read it there.]",
+    );
+    if !fact.is_empty() {
+        pointer.push('\n');
+        pointer.push_str(&fact);
+    }
+    obj.insert("system".into(), Value::String(pointer));
+
+    // 2. tools -> stub description + annotation-stripped schema, drop the
+    //    relocated cache_control. Keep name + structural schema so Anthropic's
+    //    tool-use validator still accepts calls.
+    if tools_present {
+        if let Some(arr) = obj.get_mut("tools").and_then(|t| t.as_array_mut()) {
+            for t in arr.iter_mut() {
+                let Some(tm) = t.as_object_mut() else {
+                    continue;
+                };
+                let name = tm
+                    .get("name")
+                    .and_then(|n| n.as_str())
+                    .unwrap_or("")
+                    .to_string();
+                tm.insert(
+                    "description".into(),
+                    Value::String(format!("See \"## Tool: {name}\" in the reference image.")),
+                );
+                if let Some(schema) = tm.get("input_schema") {
+                    let stripped = schema_strip::strip(schema);
+                    if schema_strip::has_structure(&stripped) {
+                        tm.insert("input_schema".into(), stripped);
+                    }
+                    // else keep original: a bare {type:object} stub causes 400s.
+                }
+                tm.remove("cache_control");
+            }
+        }
+    }
+
+    // 3. Prepend image blocks to the first user message (system rejects images).
+    prepend_images_to_first_user(obj, &mut image_blocks);
+
+    info.compressed_chars += slab.len();
+    info.image_count += images.len();
+    info.image_bytes += image_bytes;
+    info.image_pixels += image_pixels;
+    info.dropped_chars += dropped;
+    info.relocated_cache_anchor = relocated;
+    *budget -= images.len();
+    "applied"
+}
diff --git a/crates/pxpipe/src/transform/anthropic/tests.rs b/crates/pxpipe/src/transform/anthropic/tests.rs
new file mode 100644
index 0000000..47d34f6
--- /dev/null
+++ b/crates/pxpipe/src/transform/anthropic/tests.rs
@@ -0,0 +1,409 @@
+use super::common::AnthropicOpts;
+use super::transform;
+use serde_json::json;
+
+fn big_system() -> String {
+    // ~14k chars with some notable identifiers for the factsheet.
+    let mut s = String::from("Operating rules. See src/main.rs and CONFIG_PATH env.\n");
+    s.push_str(&"Do the thing carefully and precisely. ".repeat(320));
+    s.push_str(" commit deadbeef1 flag --verbose");
+    s
+}
+
+#[test]
+fn images_system_and_relocates_anchor() {
+    let mut root = json!({
+        "model": "claude-fable-5",
+        "system": [
+            { "type": "text", "text": big_system(), "cache_control": { "type": "ephemeral" } }
+        ],
+        "messages": [ { "role": "user", "content": "hi there" } ]
+    });
+    let info = transform(&mut root, &AnthropicOpts::default());
+    assert!(info.compressed, "reason={}", info.reason);
+    assert!(info.relocated_cache_anchor);
+
+    // system is now a short pointer string.
+    assert!(root["system"].is_string());
+    assert!(root["system"]
+        .as_str()
+        .unwrap()
+        .contains("first user message"));
+
+    // first user message leads with an image block carrying the anchor.
+    let content = root["messages"][0]["content"].as_array().unwrap();
+    assert_eq!(content[0]["type"], "image");
+    assert_eq!(content.last().unwrap()["type"], "text"); // original "hi there"
+    assert_eq!(content.last().unwrap()["text"], "hi there");
+    // anchor is on exactly the last image, nowhere in system.
+    let last_img = content.iter().rev().find(|b| b["type"] == "image").unwrap();
+    assert!(last_img.get("cache_control").is_some());
+}
+
+#[test]
+fn tiny_system_passes_through_unchanged() {
+    let mut root = json!({
+        "model": "claude-fable-5",
+        "system": "be helpful",
+        "messages": [ { "role": "user", "content": "hi" } ]
+    });
+    let before = root.clone();
+    let info = transform(&mut root, &AnthropicOpts::default());
+    assert!(!info.compressed);
+    assert_eq!(info.reason, "below_min_chars");
+    assert_eq!(root, before, "skip path must not mutate the body");
+}
+
+#[test]
+fn same_input_same_output_cache_stable() {
+    let make = || {
+        json!({
+            "model": "claude-fable-5",
+            "system": big_system(),
+            "messages": [ { "role": "user", "content": "go" } ]
+        })
+    };
+    let mut a = make();
+    let mut b = make();
+    transform(&mut a, &AnthropicOpts::default());
+    transform(&mut b, &AnthropicOpts::default());
+    assert_eq!(a, b, "transform must be deterministic (cache stability)");
+}
+
+#[test]
+fn tools_stubbed_and_schema_stripped() {
+    let mut root = json!({
+        "model": "claude-fable-5",
+        "system": big_system(),
+        "tools": [{
+            "name": "edit_file",
+            "description": "very long tool description ".repeat(50),
+            "input_schema": {
+                "type": "object",
+                "description": "annotation",
+                "properties": { "path": { "type": "string", "description": "p" } },
+                "required": ["path"]
+            },
+            "cache_control": { "type": "ephemeral" }
+        }],
+        "messages": [ { "role": "user", "content": "go" } ]
+    });
+    let info = transform(&mut root, &AnthropicOpts::default());
+    assert!(info.compressed);
+    let tool = &root["tools"][0];
+    assert!(tool["description"]
+        .as_str()
+        .unwrap()
+        .contains("## Tool: edit_file"));
+    assert!(tool["input_schema"].get("description").is_none());
+    assert_eq!(tool["input_schema"]["required"], json!(["path"]));
+    assert!(tool.get("cache_control").is_none(), "tool anchor relocated");
+}
+
+/// Dense filler text large enough to clear the live-block gate.
+fn big_text() -> String {
+    "log line with detail /var/run/app.sock port 8080 CODE_X 12345 ".repeat(300)
+}
+
+#[test]
+fn images_large_reminder_block() {
+    let mut root = json!({
+        "model": "claude-fable-5",
+        "system": "small",
+        "messages": [{
+            "role": "user",
+            "content": [
+                { "type": "text", "text": format!("<system-reminder>{}</system-reminder>", big_text()) },
+                { "type": "text", "text": "the actual question" }
+            ]
+        }]
+    });
+    let info = transform(&mut root, &AnthropicOpts::default());
+    assert!(info.compressed);
+    assert!(info.reminder_imgs >= 1);
+    let content = root["messages"][0]["content"].as_array().unwrap();
+    assert_eq!(content[0]["type"], "image", "reminder replaced by image");
+    // The real question text survives untouched.
+    assert!(content.iter().any(|b| b["text"] == "the actual question"));
+}
+
+#[test]
+fn images_large_tool_result_with_factsheet() {
+    let mut root = json!({
+        "model": "claude-fable-5",
+        "system": "small",
+        "messages": [{
+            "role": "user",
+            "content": [{
+                "type": "tool_result",
+                "tool_use_id": "tu_1",
+                "content": big_text(),
+                "cache_control": { "type": "ephemeral" }
+            }]
+        }]
+    });
+    let info = transform(&mut root, &AnthropicOpts::default());
+    assert!(info.compressed);
+    assert!(info.tool_result_imgs >= 1);
+    let tr = &root["messages"][0]["content"][0];
+    assert!(
+        tr.get("cache_control").is_none(),
+        "anchor relocated onto image"
+    );
+    let inner = tr["content"].as_array().unwrap();
+    assert_eq!(inner[0]["type"], "image");
+    // fact-sheet text block rides alongside the image (paths/ids survive OCR).
+    assert!(inner
+        .iter()
+        .any(|b| b["type"] == "text" && b["text"].as_str().unwrap().contains("/var/run/app.sock")));
+}
+
+#[test]
+fn skips_error_tool_result() {
+    let mut root = json!({
+        "model": "claude-fable-5",
+        "system": "small",
+        "messages": [{
+            "role": "user",
+            "content": [{
+                "type": "tool_result",
+                "tool_use_id": "tu_1",
+                "is_error": true,
+                "content": big_text()
+            }]
+        }]
+    });
+    let before = root.clone();
+    let info = transform(&mut root, &AnthropicOpts::default());
+    assert!(!info.compressed, "error tool_results must not be imaged");
+    assert_eq!(root, before);
+}
+
+#[test]
+fn pages_oversized_tool_result() {
+    // Force a tiny image cap so a modest result trips the paging path.
+    let opts = AnthropicOpts {
+        max_images_per_tool_result: 1,
+        max_height_px: 80, // ~9 rows/page → many pages before truncation
+        ..AnthropicOpts::default()
+    };
+    let mut root = json!({
+        "model": "claude-fable-5",
+        "system": "small",
+        "messages": [{
+            "role": "user",
+            "content": [{
+                "type": "tool_result",
+                "tool_use_id": "tu_1",
+                "content": big_text()
+            }]
+        }]
+    });
+    let info = transform(&mut root, &opts);
+    assert!(info.compressed);
+    assert_eq!(info.truncated_tool_results, 1);
+    assert!(info.omitted_chars > 0);
+}
+
+/// A conversation with `pairs` closed assistant(tool_use)/user(tool_result) turns.
+fn convo(pairs: usize) -> serde_json::Value {
+    let mut msgs = vec![json!({ "role": "user", "content": "start the task" })];
+    for i in 0..pairs {
+        msgs.push(json!({
+            "role": "assistant",
+            "content": [
+                { "type": "text", "text": format!("step {i}") },
+                { "type": "tool_use", "id": format!("tu_{i}"), "name": "run", "input": { "cmd": format!("do {i}") } }
+            ]
+        }));
+        msgs.push(json!({
+            "role": "user",
+            "content": [{
+                "type": "tool_result",
+                "tool_use_id": format!("tu_{i}"),
+                "content": format!("output /path/file{i}.rs {}", "detail ".repeat(60))
+            }]
+        }));
+    }
+    json!({ "model": "claude-fable-5", "system": "small", "messages": msgs })
+}
+
+fn history_opts() -> AnthropicOpts {
+    AnthropicOpts {
+        compress_history: true,
+        // Isolate the history pass so tail tool_results don't also image.
+        compress_tool_results: false,
+        compress_reminders: false,
+        ..AnthropicOpts::default()
+    }
+}
+
+#[test]
+fn collapses_closed_history_prefix() {
+    let mut root = convo(18); // 37 messages
+    let before_len = root["messages"].as_array().unwrap().len();
+    let info = transform(&mut root, &history_opts());
+    assert!(info.compressed, "reason={}", info.reason);
+    assert_eq!(info.collapsed_turns, 20, "snapped to the 20-message grid");
+    assert!(info.collapsed_images >= 1);
+
+    let msgs = root["messages"].as_array().unwrap();
+    assert!(msgs.len() < before_len, "prefix collapsed");
+    // First user message is protected (untouched).
+    assert_eq!(msgs[0]["content"], "start the task");
+    // Synthetic history message: intro text, then an image.
+    let syn = msgs[1]["content"].as_array().unwrap();
+    assert!(syn[0]["text"]
+        .as_str()
+        .unwrap()
+        .contains("EARLIER conversation"));
+    assert!(syn.iter().any(|b| b["type"] == "image"));
+    assert!(syn.last().unwrap()["text"]
+        .as_str()
+        .unwrap()
+        .contains("live request follows"));
+}
+
+#[test]
+fn history_render_is_cache_stable() {
+    let mut a = convo(18);
+    let mut b = convo(18);
+    transform(&mut a, &history_opts());
+    transform(&mut b, &history_opts());
+    assert_eq!(a, b, "same conversation must collapse to identical bytes");
+}
+
+#[test]
+fn short_history_not_collapsed() {
+    // Below min_collapse_prefix_messages (20) → left as text.
+    let mut root = convo(5); // 11 messages
+    let before = root.clone();
+    let info = transform(&mut root, &history_opts());
+    assert!(!info.compressed);
+    assert_eq!(root, before);
+}
+
+#[test]
+fn total_image_budget_is_enforced() {
+    // Many large tool_results but a tiny total budget: imaging stops at the
+    // cap so the request can't exceed Anthropic's per-request image limit.
+    let mut msgs = vec![json!({ "role": "user", "content": "start" })];
+    for i in 0..10 {
+        msgs.push(json!({
+            "role": "user",
+            "content": [{ "type": "tool_result", "tool_use_id": format!("tu_{i}"), "content": big_text() }]
+        }));
+    }
+    let mut root = json!({ "model": "claude-fable-5", "system": "small", "messages": msgs });
+    let opts = AnthropicOpts {
+        max_total_images: 3,
+        ..AnthropicOpts::default()
+    };
+    let info = transform(&mut root, &opts);
+    assert!(info.compressed);
+    assert!(
+        info.image_count <= 3,
+        "aggregate image budget exceeded: {}",
+        info.image_count
+    );
+}
+
+#[test]
+fn tool_result_carrying_an_image_is_left_alone() {
+    // A screenshot + long log in one tool_result: imaging the log would drop
+    // the screenshot, so the whole result must pass through untouched.
+    let mut root = json!({
+        "model": "claude-fable-5",
+        "system": "small",
+        "messages": [{
+            "role": "user",
+            "content": [{
+                "type": "tool_result",
+                "tool_use_id": "tu_1",
+                "content": [
+                    { "type": "image", "source": { "type": "base64", "media_type": "image/png", "data": "AAAA" } },
+                    { "type": "text", "text": big_text() }
+                ]
+            }]
+        }]
+    });
+    let before = root.clone();
+    let info = transform(&mut root, &AnthropicOpts::default());
+    assert!(
+        !info.compressed,
+        "tool_result with an image must not be imaged"
+    );
+    assert_eq!(root, before);
+}
+
+/// True unless a tool_result references a tool_use id not present as a real
+/// block earlier in the message list (an orphan the API rejects).
+fn no_orphaned_tool_results(root: &serde_json::Value) -> bool {
+    let mut seen = std::collections::HashSet::new();
+    for m in root["messages"].as_array().unwrap() {
+        let Some(blocks) = m.get("content").and_then(|c| c.as_array()) else {
+            continue;
+        };
+        for b in blocks {
+            match b.get("type").and_then(|t| t.as_str()) {
+                Some("tool_use") => {
+                    if let Some(id) = b.get("id").and_then(|i| i.as_str()) {
+                        seen.insert(id.to_string());
+                    }
+                }
+                Some("tool_result") => {
+                    if let Some(id) = b.get("tool_use_id").and_then(|i| i.as_str()) {
+                        if !seen.contains(id) {
+                            return false;
+                        }
+                    }
+                }
+                _ => {}
+            }
+        }
+    }
+    true
+}
+
+#[test]
+fn history_snap_never_orphans_a_tool_result() {
+    // A text-only assistant turn right after the first user message shifts
+    // parity so the chunk-grid line (61) lands mid-pair on an OPEN tool_use;
+    // the snap must back off to the nearest closed boundary (60) instead of
+    // orphaning tu_29's tool_result into the tail.
+    let mut msgs = vec![json!({ "role": "user", "content": "start" })];
+    msgs.push(json!({ "role": "assistant", "content": [{ "type": "text", "text": "thinking out loud" }] }));
+    for i in 0..40 {
+        msgs.push(json!({
+            "role": "assistant",
+            "content": [
+                { "type": "text", "text": format!("step {i}") },
+                { "type": "tool_use", "id": format!("tu_{i}"), "name": "run", "input": { "cmd": format!("do {i}") } }
+            ]
+        }));
+        msgs.push(json!({
+            "role": "user",
+            "content": [{ "type": "tool_result", "tool_use_id": format!("tu_{i}"), "content": format!("out /p/f{i}.rs {}", "detail ".repeat(60)) }]
+        }));
+    }
+    let mut root = json!({ "model": "claude-fable-5", "system": "small", "messages": msgs });
+    let info = transform(&mut root, &history_opts());
+    assert!(info.compressed, "reason={}", info.reason);
+    assert!(
+        no_orphaned_tool_results(&root),
+        "history collapse orphaned a tool_result"
+    );
+}
+
+#[test]
+fn open_tool_call_not_crossed() {
+    // Last prefix turn leaves a tool_use unmatched (open); the boundary must
+    // stop before it so no tool call is orphaned into the image.
+    let mut root = convo(18);
+    // Drop the tool_result of an early pair to open a call at message 4.
+    root["messages"][4] = json!({ "role": "user", "content": "no tool result here" });
+    let info = transform(&mut root, &history_opts());
+    // With an open call at msg 3 (tu_1) never closed, the closed boundary
+    // can't advance past msg 2, so the 20-message grid step never fills.
+    assert!(!info.compressed || info.collapsed_turns == 0);
+}
diff --git a/crates/pxpipe/src/transform/anthropic/tool_results.rs b/crates/pxpipe/src/transform/anthropic/tool_results.rs
new file mode 100644
index 0000000..ca5c00e
--- /dev/null
+++ b/crates/pxpipe/src/transform/anthropic/tool_results.rs
@@ -0,0 +1,72 @@
+use super::common::{
+    render_live_block, tool_result_has_image, tool_result_text, truncate_for_budget, AnthropicOpts,
+};
+use crate::transform::info::TransformInfo;
+use serde_json::Value;
+
+/// Image large `tool_result` text content across every user message. tool_result
+/// output (find trees, file dumps, logs) is the bulk of agentic input. Skips
+/// `is_error` results (Anthropic rejects images inside those) and pages oversized
+/// content down to the image cap.
+pub(crate) fn apply_tool_results(
+    root: &mut Value,
+    opts: &AnthropicOpts,
+    info: &mut TransformInfo,
+    budget: &mut usize,
+) {
+    let Some(msgs) = root.get_mut("messages").and_then(|m| m.as_array_mut()) else {
+        return;
+    };
+    for msg in msgs.iter_mut() {
+        if *budget == 0 {
+            break;
+        }
+        let Some(blocks) = msg.get_mut("content").and_then(|c| c.as_array_mut()) else {
+            continue;
+        };
+        for block in blocks.iter_mut() {
+            let Some(bm) = block.as_object_mut() else {
+                continue;
+            };
+            if bm.get("type").and_then(|t| t.as_str()) != Some("tool_result") {
+                continue;
+            }
+            if bm.get("is_error").and_then(|e| e.as_bool()) == Some(true) {
+                continue; // images forbidden in error tool_results
+            }
+            // Don't clobber a tool_result that already carries an image block
+            // (e.g. a screenshot the tool returned) — tool_result_text only reads
+            // the text sub-blocks, so imaging here would silently drop that image.
+            if tool_result_has_image(bm.get("content")) {
+                continue;
+            }
+            let text = tool_result_text(bm.get("content"));
+            if text.len() < opts.min_live_block_chars {
+                continue;
+            }
+            // Cap each result at the per-result limit AND whatever total budget
+            // is left, so the aggregate can't exceed max_total_images.
+            let per_result = opts.max_images_per_tool_result.min(*budget);
+            if per_result == 0 {
+                break;
+            }
+            let (rendered, omitted) = truncate_for_budget(&text, per_result, opts);
+            let cc = bm.get("cache_control").cloned();
+            if let Some(r) = render_live_block(&rendered, opts, cc, true, *budget) {
+                *budget -= r.img_count;
+                if omitted > 0 {
+                    info.truncated_tool_results += 1;
+                    info.omitted_chars += omitted;
+                }
+                info.tool_result_imgs += r.img_count;
+                info.image_count += r.img_count;
+                info.image_bytes += r.bytes;
+                info.image_pixels += r.pixels;
+                info.dropped_chars += r.dropped;
+                info.compressed_chars += text.len();
+                bm.remove("cache_control"); // relocated onto the last image
+                bm.insert("content".into(), Value::Array(r.blocks));
+            }
+        }
+    }
+}
diff --git a/crates/rtk/src/detector.rs b/crates/rtk/src/detector.rs
index 836228f..4ce1515 100644
--- a/crates/rtk/src/detector.rs
+++ b/crates/rtk/src/detector.rs
@@ -17,16 +17,16 @@ pub struct CommandDetection {
     pub category: String,
 }
 
-struct Detector {
-    r#type: &'static str,
-    category: &'static str,
-    command_patterns: Vec<Regex>,
-    content_patterns: Vec<Regex>,
+pub(super) struct Detector {
+    pub(super) r#type: &'static str,
+    pub(super) category: &'static str,
+    pub(super) command_patterns: Vec<Regex>,
+    pub(super) content_patterns: Vec<Regex>,
 }
 
 /// Compile with explicit flags: `i` = case-insensitive, `m` = multiline.
 /// Fixed, in-tree patterns — a bad transcription panics (caught by `table_builds`).
-fn rx(pattern: &str, flags: &str) -> Regex {
+pub(super) fn rx(pattern: &str, flags: &str) -> Regex {
     RegexBuilder::new(pattern)
         .case_insensitive(flags.contains('i'))
         .multi_line(flags.contains('m'))
@@ -96,486 +96,21 @@ fn command_prefix_re() -> &'static Regex {
     RE.get_or_init(|| Regex::new(&format!(r"^(?:{})\b", COMMAND_PREFIXES.join("|"))).unwrap())
 }
 
+mod table;
+
 fn detectors() -> &'static Vec<Detector> {
     static D: OnceLock<Vec<Detector>> = OnceLock::new();
-    D.get_or_init(build_detectors)
+    D.get_or_init(table::build_detectors)
 }
 
 /// (type, category, command patterns (all "i"), (content pattern, flags) pairs).
-type DetectorRow = (
+pub(super) type DetectorRow = (
     &'static str,
     &'static str,
     &'static [&'static str],
     &'static [(&'static str, &'static str)],
 );
 
-fn build_detectors() -> Vec<Detector> {
-    let table: &[DetectorRow] = &[
-        (
-            "git-status",
-            "git",
-            &[r"^git\s+status\b"],
-            &[
-                (r"^On branch ", "m"),
-                (r"^Changes (?:not staged|to be committed)", "m"),
-                (r"^Untracked files:", "m"),
-            ],
-        ),
-        (
-            "git-branch",
-            "git",
-            &[r"^git\s+branch\b", r"^git\s+checkout\b", r"^git\s+switch\b"],
-            &[
-                (r"^\*\s+\S+", "m"),
-                (r"Switched to (?:a new )?branch", "i"),
-                (r#"Already on ['"][^'"]+['"]"#, "i"),
-            ],
-        ),
-        (
-            "git-diff",
-            "git",
-            &[r"^git\s+diff\b", r"^git\s+show\b"],
-            &[
-                (r"^diff --git ", "m"),
-                (r"^@@\s+-\d+,\d+\s+\+\d+,\d+\s+@@", "m"),
-            ],
-        ),
-        (
-            "git-log",
-            "git",
-            &[r"^git\s+log\b"],
-            &[(r"^commit [0-9a-f]{7,40}", "m"), (r"^Author: ", "m")],
-        ),
-        (
-            "make",
-            "build",
-            &[r"^make\b"],
-            &[
-                (r"^make\[\d+\]: (?:Entering|Leaving) directory", "m"),
-                (r"make: \*\*\* ", ""),
-            ],
-        ),
-        (
-            "gradle",
-            "build",
-            &[r"^(?:gradle|gradlew|\./gradlew)\b"],
-            &[
-                (r"^> Task :", "m"),
-                (r"^BUILD (?:SUCCESSFUL|FAILED)\b", "m"),
-            ],
-        ),
-        (
-            "dotnet",
-            "build",
-            &[
-                r"^dotnet\s+(?:build|test|run|restore|publish|pack|msbuild)\b",
-                r"^dotnet\b",
-            ],
-            &[
-                (r"^Build (?:succeeded|FAILED)\b", "m"),
-                (r"\b(?:error|warning) CS\d+\b", "m"),
-            ],
-        ),
-        (
-            "terraform-plan",
-            "infra",
-            &[r"^terraform\s+plan\b"],
-            &[
-                (r"Terraform will perform the following actions:", ""),
-                (r"Plan: \d+ to add", "i"),
-            ],
-        ),
-        (
-            "tofu-plan",
-            "infra",
-            &[r"^(?:tofu|opentofu)\s+plan\b"],
-            &[
-                (r"OpenTofu will perform the following actions:", ""),
-                (r"Plan: \d+ to add", "i"),
-            ],
-        ),
-        (
-            "systemctl-status",
-            "infra",
-            &[r"^systemctl\s+status\b"],
-            &[
-                (r"^\s*Loaded:\s+", "m"),
-                (r"^\s*Active:\s+", "m"),
-                (r"^●\s+\S+\.service", "m"),
-            ],
-        ),
-        (
-            "test-vitest",
-            "test",
-            &[r"^vitest\b", r"^npm\s+(?:run\s+)?test:vitest\b"],
-            &[
-                (r"\bvitest\b", "i"),
-                (r"^ ✓ ", "m"),
-                (r"^ ❯ ", "m"),
-                (r"Test Files\s+\d+\s+(?:passed|failed)", "i"),
-            ],
-        ),
-        (
-            "test-jest",
-            "test",
-            &[r"^jest\b", r"^npm\s+(?:run\s+)?test\b"],
-            &[
-                (r"Test Suites:\s+\d+", "i"),
-                (r"Tests:\s+\d+", "i"),
-                (r"^PASS\s+", "m"),
-                (r"^FAIL\s+", "m"),
-            ],
-        ),
-        (
-            "test-pytest",
-            "test",
-            &[r"^pytest\b", r"^python\s+-m\s+pytest\b"],
-            &[
-                (r"=+\s+(?:\d+\s+)?(?:passed|failed|errors?)", "i"),
-                (r"^E\s+", "m"),
-                (r"^FAILED ", "m"),
-            ],
-        ),
-        (
-            "test-cargo",
-            "test",
-            &[r"^cargo\s+test\b", r"^cargo\s+nextest\b"],
-            &[
-                (r"^running \d+ tests?", "m"),
-                (r"^test\s+[\w:.-]+\s+\.\.\.\s+(?:ok|FAILED|ignored)", "m"),
-                (r"test result:\s+(?:ok|FAILED)", "i"),
-            ],
-        ),
-        (
-            "test-go",
-            "test",
-            &[r"^go\s+test\b"],
-            &[
-                (r"^(?:ok|FAIL)\s+[\w./-]+\s+[\d.]+s", "m"),
-                (r"^--- FAIL: ", "m"),
-                (r"^panic: ", "m"),
-            ],
-        ),
-        (
-            "build-typescript",
-            "build",
-            &[r"^tsc\b", r"^npm\s+run\s+typecheck\b"],
-            &[(r"TS\d{4}:", ""), (r"error TS\d{4}", "i")],
-        ),
-        (
-            "build-eslint",
-            "build",
-            &[r"^eslint\b", r"^npm\s+run\s+lint\b"],
-            &[
-                (r"\s+\d+:\d+\s+(?:error|warning)\s+", ""),
-                (r"✖\s+\d+\s+problems?", ""),
-            ],
-        ),
-        (
-            "build-webpack",
-            "build",
-            &[
-                r"^webpack\b",
-                r"^npx\s+webpack\b",
-                r"^npm\s+run\s+build:webpack\b",
-            ],
-            &[
-                (r"webpack\s+\d", "i"),
-                (r"compiled (?:successfully|with \d+ errors?)", "i"),
-                (r"asset .+\.js", "i"),
-            ],
-        ),
-        (
-            "build-vite",
-            "build",
-            &[
-                r"^vite\s+build\b",
-                r"^npm\s+run\s+build\b",
-                r"^pnpm\s+build\b",
-            ],
-            &[
-                (r"vite v[\d.]+", "i"),
-                (r"✓ built in", "i"),
-                (r"transforming \(\d+\)", "i"),
-            ],
-        ),
-        (
-            "biome",
-            "build",
-            &[r"^biome\b", r"^npx\s+biome\b"],
-            &[
-                (r"lint/[A-Za-z0-9/.-]+", ""),
-                (r"Checked \d+ files? in", "i"),
-            ],
-        ),
-        (
-            "prettier",
-            "build",
-            &[r"^prettier\b", r"^npx\s+prettier\b"],
-            &[
-                (r"^Checking formatting\.\.\.", "m"),
-                (r"Code style issues found", "i"),
-            ],
-        ),
-        (
-            "turbo",
-            "build",
-            &[r"^turbo\b", r"^npx\s+turbo\b"],
-            &[
-                (r"^• Packages in scope:", "m"),
-                (r"^Tasks:\s+\d+\s+successful", "m"),
-            ],
-        ),
-        (
-            "nx",
-            "build",
-            &[r"^nx\b", r"^npx\s+nx\b"],
-            &[(r"^NX\s+", "m"), (r"^> nx run ", "m")],
-        ),
-        (
-            "playwright",
-            "test",
-            &[r"^playwright\s+test\b", r"^npx\s+playwright\s+test\b"],
-            &[
-                (r"Running \d+ tests? using \d+ workers?", "i"),
-                (r"^\s+\d+ failed", "m"),
-            ],
-        ),
-        (
-            "npm-install",
-            "package",
-            &[r"^(?:npm|pnpm|yarn)\s+(?:install|add|update)\b"],
-            &[
-                (r"added \d+ packages", "i"),
-                (r"packages are looking for funding", "i"),
-                (r"audited \d+ packages", "i"),
-            ],
-        ),
-        (
-            "npm-audit",
-            "package",
-            &[r"^(?:npm|pnpm|yarn)\s+audit\b"],
-            &[
-                (r"found \d+ vulnerabilities", "i"),
-                (r"\b(?:low|moderate|high|critical)\b", "i"),
-            ],
-        ),
-        (
-            "ruff",
-            "build",
-            &[r"^ruff\b", r"^uv\s+run\s+ruff\b"],
-            &[
-                (r"^[\w./-]+\.py:\d+:\d+:\s+[A-Z]\d+", "m"),
-                (r"Found \d+ errors?\.", "i"),
-            ],
-        ),
-        (
-            "mypy",
-            "build",
-            &[r"^mypy\b", r"^python\s+-m\s+mypy\b"],
-            &[
-                (r"^[\w./-]+\.py:\d+:\s+error:", "m"),
-                (r"Found \d+ errors? in \d+ files?", "i"),
-            ],
-        ),
-        (
-            "pip",
-            "package",
-            &[
-                r"^pip\s+(?:install|download|uninstall)\b",
-                r"^python\s+-m\s+pip\b",
-            ],
-            &[(r"^Collecting ", "m"), (r"^Successfully installed ", "m")],
-        ),
-        (
-            "uv-sync",
-            "package",
-            &[r"^uv\s+sync\b", r"^uv\s+pip\s+install\b"],
-            &[
-                (r"^Resolved \d+ packages?", "m"),
-                (r"^Installed \d+ packages?", "m"),
-            ],
-        ),
-        (
-            "poetry-install",
-            "package",
-            &[r"^poetry\s+install\b"],
-            &[
-                (r"^Installing dependencies from lock file", "m"),
-                (r"^Package operations:", "m"),
-            ],
-        ),
-        (
-            "golangci-lint",
-            "build",
-            &[r"^golangci-lint\b"],
-            &[(r"^[\w./-]+\.go:\d+:\d+:", "m"), (r"^\d+ issues?:", "m")],
-        ),
-        (
-            "bundle-install",
-            "package",
-            &[r"^bundle\s+install\b"],
-            &[
-                (r"^Fetching gem metadata from ", "m"),
-                (r"^Bundle complete!", "m"),
-            ],
-        ),
-        (
-            "rubocop",
-            "build",
-            &[r"^rubocop\b", r"^bundle\s+exec\s+rubocop\b"],
-            &[
-                (r"^Inspecting \d+ files", "m"),
-                (r"^[\w./-]+\.rb:\d+:\d+:\s+[A-Z]:", "m"),
-            ],
-        ),
-        (
-            "docker-ps",
-            "docker",
-            &[r"^docker\s+ps\b"],
-            &[(r"^CONTAINER ID\s+IMAGE\s+COMMAND", "m")],
-        ),
-        (
-            "docker-logs",
-            "docker",
-            &[r"^docker\s+logs\b", r"^docker\s+compose\s+logs\b"],
-            &[
-                (r"^\d{4}-\d{2}-\d{2}T\d{2}:\d{2}:\d{2}", "m"),
-                (r"\b(?:ERROR|WARN|INFO)\b", ""),
-                (r"^Attaching to ", "m"),
-            ],
-        ),
-        (
-            "aws",
-            "cloud",
-            &[r"^aws\b"],
-            &[
-                (r"An error occurred \([A-Za-z0-9]+\) when calling", ""),
-                (r"^(?:upload|download): ", "m"),
-            ],
-        ),
-        (
-            "gcloud",
-            "cloud",
-            &[r"^gcloud\b"],
-            &[(r"^ERROR: \(gcloud\.", "m"), (r"^Updated property \[", "m")],
-        ),
-        (
-            "ssh",
-            "cloud",
-            &[r"^ssh\b"],
-            &[
-                (r"Permission denied \(", ""),
-                (r"Host key verification failed", ""),
-                (r"Connection timed out", ""),
-            ],
-        ),
-        (
-            "rsync",
-            "cloud",
-            &[r"^rsync\b"],
-            &[
-                (r"^sending incremental file list", "m"),
-                (r"^rsync error:", "m"),
-            ],
-        ),
-        (
-            "curl",
-            "cloud",
-            &[r"^curl\b"],
-            &[(r"curl: \(\d+\)", ""), (r"^HTTP/\d(?:\.\d)? \d{3}", "m")],
-        ),
-        (
-            "wget",
-            "cloud",
-            &[r"^wget\b"],
-            &[(r"^--\d{4}-\d{2}-\d{2}", "m"), (r"^ERROR \d{3}:", "m")],
-        ),
-        (
-            "json-output",
-            "generic",
-            &[r"^jq\b", r"^cat\s+.*\.json\b"],
-            &[(r"^\s*[\[{][\s\S]*[\]}]\s*$", "")],
-        ),
-        (
-            "shell-ls",
-            "shell",
-            &[r"^ls(?:\s+-[A-Za-z]+)?\b"],
-            &[
-                (r"^total \d+", "m"),
-                (r"^\S+\s+\S+\s+\d+\s+\w+\s+\d{1,2}\s+", "m"),
-            ],
-        ),
-        (
-            "shell-find",
-            "shell",
-            &[r"^find\b"],
-            &[(r"^(?:\.{1,2}|/|[\w.-]+/).+", "m")],
-        ),
-        (
-            "shell-grep",
-            "shell",
-            &[r"^(?:grep|rg|ag)\b"],
-            &[
-                (
-                    r"^[\w./-]+\.(?:ts|tsx|js|jsx|py|go|rs|java|rb|md|json|ya?ml|txt):\d*:",
-                    "m",
-                ),
-                (r"^[\w./-]+/[\w./-]+:\d*:", "m"),
-            ],
-        ),
-        (
-            "shell-ps",
-            "shell",
-            &[r"^ps\b"],
-            &[(r"^(?:USER\s+PID|\s*PID\s+)", "m")],
-        ),
-        (
-            "shell-df",
-            "shell",
-            &[r"^df\b"],
-            &[(r"^Filesystem\s+.*Use%", "m")],
-        ),
-        (
-            "shell-du",
-            "shell",
-            &[r"^du\b"],
-            &[(r"^\d+(?:\.\d+)?[KMGTP]?\s+\S+", "m")],
-        ),
-        (
-            "error-stacktrace",
-            "generic",
-            &[],
-            &[
-                (r"Traceback \(most recent call last\):", ""),
-                (r"^\s+at\s+\S+\s+\(.+:\d+:\d+\)", "m"),
-                (r"^panic: ", "m"),
-                (r"^thread '[^']+' panicked at", "m"),
-            ],
-        ),
-        (
-            "generic-error",
-            "generic",
-            &[],
-            &[
-                (r"Error:", ""),
-                (r"Exception:", ""),
-                (r"Traceback \(most recent call last\):", ""),
-            ],
-        ),
-    ];
-
-    table
-        .iter()
-        .map(|(t, cat, cmds, contents)| Detector {
-            r#type: t,
-            category: cat,
-            command_patterns: cmds.iter().map(|p| rx(p, "i")).collect(),
-            content_patterns: contents.iter().map(|(p, f)| rx(p, f)).collect(),
-        })
-        .collect()
-}
-
 /// Quote-aware composite-command splitter — port of `lastCommandSegment`.
 /// Returns the last top-level `&&`/`||`/`;`-separated segment (trimmed).
 pub fn last_command_segment(command: &str) -> String {
diff --git a/crates/rtk/src/detector/table.rs b/crates/rtk/src/detector/table.rs
new file mode 100644
index 0000000..4a6be44
--- /dev/null
+++ b/crates/rtk/src/detector/table.rs
@@ -0,0 +1,468 @@
+use super::{rx, Detector, DetectorRow};
+
+pub(super) fn build_detectors() -> Vec<Detector> {
+    let table: &[DetectorRow] = &[
+        (
+            "git-status",
+            "git",
+            &[r"^git\s+status\b"],
+            &[
+                (r"^On branch ", "m"),
+                (r"^Changes (?:not staged|to be committed)", "m"),
+                (r"^Untracked files:", "m"),
+            ],
+        ),
+        (
+            "git-branch",
+            "git",
+            &[r"^git\s+branch\b", r"^git\s+checkout\b", r"^git\s+switch\b"],
+            &[
+                (r"^\*\s+\S+", "m"),
+                (r"Switched to (?:a new )?branch", "i"),
+                (r#"Already on ['"][^'"]+['"]"#, "i"),
+            ],
+        ),
+        (
+            "git-diff",
+            "git",
+            &[r"^git\s+diff\b", r"^git\s+show\b"],
+            &[
+                (r"^diff --git ", "m"),
+                (r"^@@\s+-\d+,\d+\s+\+\d+,\d+\s+@@", "m"),
+            ],
+        ),
+        (
+            "git-log",
+            "git",
+            &[r"^git\s+log\b"],
+            &[(r"^commit [0-9a-f]{7,40}", "m"), (r"^Author: ", "m")],
+        ),
+        (
+            "make",
+            "build",
+            &[r"^make\b"],
+            &[
+                (r"^make\[\d+\]: (?:Entering|Leaving) directory", "m"),
+                (r"make: \*\*\* ", ""),
+            ],
+        ),
+        (
+            "gradle",
+            "build",
+            &[r"^(?:gradle|gradlew|\./gradlew)\b"],
+            &[
+                (r"^> Task :", "m"),
+                (r"^BUILD (?:SUCCESSFUL|FAILED)\b", "m"),
+            ],
+        ),
+        (
+            "dotnet",
+            "build",
+            &[
+                r"^dotnet\s+(?:build|test|run|restore|publish|pack|msbuild)\b",
+                r"^dotnet\b",
+            ],
+            &[
+                (r"^Build (?:succeeded|FAILED)\b", "m"),
+                (r"\b(?:error|warning) CS\d+\b", "m"),
+            ],
+        ),
+        (
+            "terraform-plan",
+            "infra",
+            &[r"^terraform\s+plan\b"],
+            &[
+                (r"Terraform will perform the following actions:", ""),
+                (r"Plan: \d+ to add", "i"),
+            ],
+        ),
+        (
+            "tofu-plan",
+            "infra",
+            &[r"^(?:tofu|opentofu)\s+plan\b"],
+            &[
+                (r"OpenTofu will perform the following actions:", ""),
+                (r"Plan: \d+ to add", "i"),
+            ],
+        ),
+        (
+            "systemctl-status",
+            "infra",
+            &[r"^systemctl\s+status\b"],
+            &[
+                (r"^\s*Loaded:\s+", "m"),
+                (r"^\s*Active:\s+", "m"),
+                (r"^●\s+\S+\.service", "m"),
+            ],
+        ),
+        (
+            "test-vitest",
+            "test",
+            &[r"^vitest\b", r"^npm\s+(?:run\s+)?test:vitest\b"],
+            &[
+                (r"\bvitest\b", "i"),
+                (r"^ ✓ ", "m"),
+                (r"^ ❯ ", "m"),
+                (r"Test Files\s+\d+\s+(?:passed|failed)", "i"),
+            ],
+        ),
+        (
+            "test-jest",
+            "test",
+            &[r"^jest\b", r"^npm\s+(?:run\s+)?test\b"],
+            &[
+                (r"Test Suites:\s+\d+", "i"),
+                (r"Tests:\s+\d+", "i"),
+                (r"^PASS\s+", "m"),
+                (r"^FAIL\s+", "m"),
+            ],
+        ),
+        (
+            "test-pytest",
+            "test",
+            &[r"^pytest\b", r"^python\s+-m\s+pytest\b"],
+            &[
+                (r"=+\s+(?:\d+\s+)?(?:passed|failed|errors?)", "i"),
+                (r"^E\s+", "m"),
+                (r"^FAILED ", "m"),
+            ],
+        ),
+        (
+            "test-cargo",
+            "test",
+            &[r"^cargo\s+test\b", r"^cargo\s+nextest\b"],
+            &[
+                (r"^running \d+ tests?", "m"),
+                (r"^test\s+[\w:.-]+\s+\.\.\.\s+(?:ok|FAILED|ignored)", "m"),
+                (r"test result:\s+(?:ok|FAILED)", "i"),
+            ],
+        ),
+        (
+            "test-go",
+            "test",
+            &[r"^go\s+test\b"],
+            &[
+                (r"^(?:ok|FAIL)\s+[\w./-]+\s+[\d.]+s", "m"),
+                (r"^--- FAIL: ", "m"),
+                (r"^panic: ", "m"),
+            ],
+        ),
+        (
+            "build-typescript",
+            "build",
+            &[r"^tsc\b", r"^npm\s+run\s+typecheck\b"],
+            &[(r"TS\d{4}:", ""), (r"error TS\d{4}", "i")],
+        ),
+        (
+            "build-eslint",
+            "build",
+            &[r"^eslint\b", r"^npm\s+run\s+lint\b"],
+            &[
+                (r"\s+\d+:\d+\s+(?:error|warning)\s+", ""),
+                (r"✖\s+\d+\s+problems?", ""),
+            ],
+        ),
+        (
+            "build-webpack",
+            "build",
+            &[
+                r"^webpack\b",
+                r"^npx\s+webpack\b",
+                r"^npm\s+run\s+build:webpack\b",
+            ],
+            &[
+                (r"webpack\s+\d", "i"),
+                (r"compiled (?:successfully|with \d+ errors?)", "i"),
+                (r"asset .+\.js", "i"),
+            ],
+        ),
+        (
+            "build-vite",
+            "build",
+            &[
+                r"^vite\s+build\b",
+                r"^npm\s+run\s+build\b",
+                r"^pnpm\s+build\b",
+            ],
+            &[
+                (r"vite v[\d.]+", "i"),
+                (r"✓ built in", "i"),
+                (r"transforming \(\d+\)", "i"),
+            ],
+        ),
+        (
+            "biome",
+            "build",
+            &[r"^biome\b", r"^npx\s+biome\b"],
+            &[
+                (r"lint/[A-Za-z0-9/.-]+", ""),
+                (r"Checked \d+ files? in", "i"),
+            ],
+        ),
+        (
+            "prettier",
+            "build",
+            &[r"^prettier\b", r"^npx\s+prettier\b"],
+            &[
+                (r"^Checking formatting\.\.\.", "m"),
+                (r"Code style issues found", "i"),
+            ],
+        ),
+        (
+            "turbo",
+            "build",
+            &[r"^turbo\b", r"^npx\s+turbo\b"],
+            &[
+                (r"^• Packages in scope:", "m"),
+                (r"^Tasks:\s+\d+\s+successful", "m"),
+            ],
+        ),
+        (
+            "nx",
+            "build",
+            &[r"^nx\b", r"^npx\s+nx\b"],
+            &[(r"^NX\s+", "m"), (r"^> nx run ", "m")],
+        ),
+        (
+            "playwright",
+            "test",
+            &[r"^playwright\s+test\b", r"^npx\s+playwright\s+test\b"],
+            &[
+                (r"Running \d+ tests? using \d+ workers?", "i"),
+                (r"^\s+\d+ failed", "m"),
+            ],
+        ),
+        (
+            "npm-install",
+            "package",
+            &[r"^(?:npm|pnpm|yarn)\s+(?:install|add|update)\b"],
+            &[
+                (r"added \d+ packages", "i"),
+                (r"packages are looking for funding", "i"),
+                (r"audited \d+ packages", "i"),
+            ],
+        ),
+        (
+            "npm-audit",
+            "package",
+            &[r"^(?:npm|pnpm|yarn)\s+audit\b"],
+            &[
+                (r"found \d+ vulnerabilities", "i"),
+                (r"\b(?:low|moderate|high|critical)\b", "i"),
+            ],
+        ),
+        (
+            "ruff",
+            "build",
+            &[r"^ruff\b", r"^uv\s+run\s+ruff\b"],
+            &[
+                (r"^[\w./-]+\.py:\d+:\d+:\s+[A-Z]\d+", "m"),
+                (r"Found \d+ errors?\.", "i"),
+            ],
+        ),
+        (
+            "mypy",
+            "build",
+            &[r"^mypy\b", r"^python\s+-m\s+mypy\b"],
+            &[
+                (r"^[\w./-]+\.py:\d+:\s+error:", "m"),
+                (r"Found \d+ errors? in \d+ files?", "i"),
+            ],
+        ),
+        (
+            "pip",
+            "package",
+            &[
+                r"^pip\s+(?:install|download|uninstall)\b",
+                r"^python\s+-m\s+pip\b",
+            ],
+            &[(r"^Collecting ", "m"), (r"^Successfully installed ", "m")],
+        ),
+        (
+            "uv-sync",
+            "package",
+            &[r"^uv\s+sync\b", r"^uv\s+pip\s+install\b"],
+            &[
+                (r"^Resolved \d+ packages?", "m"),
+                (r"^Installed \d+ packages?", "m"),
+            ],
+        ),
+        (
+            "poetry-install",
+            "package",
+            &[r"^poetry\s+install\b"],
+            &[
+                (r"^Installing dependencies from lock file", "m"),
+                (r"^Package operations:", "m"),
+            ],
+        ),
+        (
+            "golangci-lint",
+            "build",
+            &[r"^golangci-lint\b"],
+            &[(r"^[\w./-]+\.go:\d+:\d+:", "m"), (r"^\d+ issues?:", "m")],
+        ),
+        (
+            "bundle-install",
+            "package",
+            &[r"^bundle\s+install\b"],
+            &[
+                (r"^Fetching gem metadata from ", "m"),
+                (r"^Bundle complete!", "m"),
+            ],
+        ),
+        (
+            "rubocop",
+            "build",
+            &[r"^rubocop\b", r"^bundle\s+exec\s+rubocop\b"],
+            &[
+                (r"^Inspecting \d+ files", "m"),
+                (r"^[\w./-]+\.rb:\d+:\d+:\s+[A-Z]:", "m"),
+            ],
+        ),
+        (
+            "docker-ps",
+            "docker",
+            &[r"^docker\s+ps\b"],
+            &[(r"^CONTAINER ID\s+IMAGE\s+COMMAND", "m")],
+        ),
+        (
+            "docker-logs",
+            "docker",
+            &[r"^docker\s+logs\b", r"^docker\s+compose\s+logs\b"],
+            &[
+                (r"^\d{4}-\d{2}-\d{2}T\d{2}:\d{2}:\d{2}", "m"),
+                (r"\b(?:ERROR|WARN|INFO)\b", ""),
+                (r"^Attaching to ", "m"),
+            ],
+        ),
+        (
+            "aws",
+            "cloud",
+            &[r"^aws\b"],
+            &[
+                (r"An error occurred \([A-Za-z0-9]+\) when calling", ""),
+                (r"^(?:upload|download): ", "m"),
+            ],
+        ),
+        (
+            "gcloud",
+            "cloud",
+            &[r"^gcloud\b"],
+            &[(r"^ERROR: \(gcloud\.", "m"), (r"^Updated property \[", "m")],
+        ),
+        (
+            "ssh",
+            "cloud",
+            &[r"^ssh\b"],
+            &[
+                (r"Permission denied \(", ""),
+                (r"Host key verification failed", ""),
+                (r"Connection timed out", ""),
+            ],
+        ),
+        (
+            "rsync",
+            "cloud",
+            &[r"^rsync\b"],
+            &[
+                (r"^sending incremental file list", "m"),
+                (r"^rsync error:", "m"),
+            ],
+        ),
+        (
+            "curl",
+            "cloud",
+            &[r"^curl\b"],
+            &[(r"curl: \(\d+\)", ""), (r"^HTTP/\d(?:\.\d)? \d{3}", "m")],
+        ),
+        (
+            "wget",
+            "cloud",
+            &[r"^wget\b"],
+            &[(r"^--\d{4}-\d{2}-\d{2}", "m"), (r"^ERROR \d{3}:", "m")],
+        ),
+        (
+            "json-output",
+            "generic",
+            &[r"^jq\b", r"^cat\s+.*\.json\b"],
+            &[(r"^\s*[\[{][\s\S]*[\]}]\s*$", "")],
+        ),
+        (
+            "shell-ls",
+            "shell",
+            &[r"^ls(?:\s+-[A-Za-z]+)?\b"],
+            &[
+                (r"^total \d+", "m"),
+                (r"^\S+\s+\S+\s+\d+\s+\w+\s+\d{1,2}\s+", "m"),
+            ],
+        ),
+        (
+            "shell-find",
+            "shell",
+            &[r"^find\b"],
+            &[(r"^(?:\.{1,2}|/|[\w.-]+/).+", "m")],
+        ),
+        (
+            "shell-grep",
+            "shell",
+            &[r"^(?:grep|rg|ag)\b"],
+            &[
+                (
+                    r"^[\w./-]+\.(?:ts|tsx|js|jsx|py|go|rs|java|rb|md|json|ya?ml|txt):\d*:",
+                    "m",
+                ),
+                (r"^[\w./-]+/[\w./-]+:\d*:", "m"),
+            ],
+        ),
+        (
+            "shell-ps",
+            "shell",
+            &[r"^ps\b"],
+            &[(r"^(?:USER\s+PID|\s*PID\s+)", "m")],
+        ),
+        (
+            "shell-df",
+            "shell",
+            &[r"^df\b"],
+            &[(r"^Filesystem\s+.*Use%", "m")],
+        ),
+        (
+            "shell-du",
+            "shell",
+            &[r"^du\b"],
+            &[(r"^\d+(?:\.\d+)?[KMGTP]?\s+\S+", "m")],
+        ),
+        (
+            "error-stacktrace",
+            "generic",
+            &[],
+            &[
+                (r"Traceback \(most recent call last\):", ""),
+                (r"^\s+at\s+\S+\s+\(.+:\d+:\d+\)", "m"),
+                (r"^panic: ", "m"),
+                (r"^thread '[^']+' panicked at", "m"),
+            ],
+        ),
+        (
+            "generic-error",
+            "generic",
+            &[],
+            &[
+                (r"Error:", ""),
+                (r"Exception:", ""),
+                (r"Traceback \(most recent call last\):", ""),
+            ],
+        ),
+    ];
+
+    table
+        .iter()
+        .map(|(t, cat, cmds, contents)| Detector {
+            r#type: t,
+            category: cat,
+            command_patterns: cmds.iter().map(|p| rx(p, "i")).collect(),
+            content_patterns: contents.iter().map(|(p, f)| rx(p, f)).collect(),
+        })
+        .collect()
+}
diff --git a/crates/rtk/src/filter.rs b/crates/rtk/src/filter.rs
index 09b6f8c..95433b6 100644
--- a/crates/rtk/src/filter.rs
+++ b/crates/rtk/src/filter.rs
@@ -257,13 +257,11 @@ impl RtkFilter {
                     .build()
                     .ok()?;
                 let unless = match r.unless {
-                    Some(u) => {
-                        RegexBuilder::new(&u)
-                            .case_insensitive(true)
-                            .multi_line(true)
-                            .build()
-                            .ok()
-                    }
+                    Some(u) => RegexBuilder::new(&u)
+                        .case_insensitive(true)
+                        .multi_line(true)
+                        .build()
+                        .ok(),
                     None => None,
                 };
                 Some(MatchOutputRule {
diff --git a/crates/rtk/src/transform/anthropic.rs b/crates/rtk/src/transform/anthropic.rs
index 2f3cc21..3f0ed45 100644
--- a/crates/rtk/src/transform/anthropic.rs
+++ b/crates/rtk/src/transform/anthropic.rs
@@ -31,11 +31,14 @@ fn build_lookup(messages: &[Value]) -> ToolLookup {
                 .unwrap_or_default()
                 .to_string();
             let command = part.get("input").and_then(command_from_input);
-            lookup.insert(id.to_string(), ToolMeta {
-                name,
-                command,
-                arguments_str: None,
-            });
+            lookup.insert(
+                id.to_string(),
+                ToolMeta {
+                    name,
+                    command,
+                    arguments_str: None,
+                },
+            );
         }
     }
     lookup
diff --git a/crates/rtk/src/transform/openai.rs b/crates/rtk/src/transform/openai.rs
index c80704e..268cf71 100644
--- a/crates/rtk/src/transform/openai.rs
+++ b/crates/rtk/src/transform/openai.rs
@@ -40,11 +40,14 @@ fn build_lookup(messages: &[Value]) -> ToolLookup {
             // strings). For OpenAI the parse is deferred — build_lookup only
             // stores the raw string.
             let command = None;
-            lookup.insert(id.to_string(), ToolMeta {
-                name,
-                command,
-                arguments_str,
-            });
+            lookup.insert(
+                id.to_string(),
+                ToolMeta {
+                    name,
+                    command,
+                    arguments_str,
+                },
+            );
         }
     }
     lookup
diff --git a/crates/translator/src/mapping/gemini_message_map.rs b/crates/translator/src/mapping/gemini_message_map.rs
index c6f0220..9d5a9ce 100644
--- a/crates/translator/src/mapping/gemini_message_map.rs
+++ b/crates/translator/src/mapping/gemini_message_map.rs
@@ -1,682 +1,20 @@
 // Anthropic Messages API <-> Gemini generateContent API message mapping.
 //
-// Pure translation functions, no IO. Converts Anthropic request types into
-// Gemini request types and Gemini response types back into Anthropic responses.
+// Pure translation functions, no IO. Split by direction:
+//   - `request`  Anthropic -> Gemini request
+//   - `response` Gemini -> Anthropic response
+//   - `reverse`  Gemini -> Anthropic request & Anthropic -> Gemini response
+//   - `helpers`  shared utilities (role merging, tool-id mapping)
 
-use std::collections::HashMap;
+mod helpers;
+mod request;
+mod response;
+mod reverse;
 
-use crate::anthropic::messages as anthropic;
-use crate::gemini::request as gemini;
-use crate::gemini::response as gemini_resp;
-use crate::mapping::tools_map::sanitize_schema_for_gemini;
-use crate::util::ids::{generate_message_id, generate_tool_use_id};
-
-// ---------------------------------------------------------------------------
-// Request direction: Anthropic -> Gemini
-// ---------------------------------------------------------------------------
-
-/// Compute degradation warnings for a Gemini-bound request.
-///
-/// Call before translating to surface features that are silently dropped during
-/// Anthropic → Gemini translation. Emit the result as an `x-anyllm-degradation`
-/// response header so clients can detect lossy translations.
-pub fn compute_gemini_request_warnings(
-    req: &anthropic::MessageCreateRequest,
-) -> crate::mapping::warnings::TranslationWarnings {
-    use crate::mapping::warnings::TranslationWarnings;
-    let mut w = TranslationWarnings::default();
-
-    // Single pass: collect all per-block warning flags at once.
-    let mut has_thinking = false;
-    let mut has_document = false;
-    let mut has_url_image = false;
-    for msg in &req.messages {
-        if let anthropic::Content::Blocks(blocks) = &msg.content {
-            for b in blocks {
-                match b {
-                    // Thinking/RedactedThinking: no Gemini Content equivalent.
-                    anthropic::ContentBlock::Thinking { .. }
-                    | anthropic::ContentBlock::RedactedThinking { .. } => has_thinking = true,
-                    // Document blocks have no Gemini equivalent.
-                    anthropic::ContentBlock::Document { .. } => has_document = true,
-                    // URL-type images: Gemini only accepts inline base64 data.
-                    anthropic::ContentBlock::Image { source } if source.source_type != "base64" => {
-                        has_url_image = true
-                    }
-                    _ => {}
-                }
-            }
-        }
-    }
-    if has_thinking {
-        w.add("thinking_blocks");
-    }
-    if has_document {
-        w.add("document_blocks");
-    }
-    if has_url_image {
-        w.add("url_images");
-    }
-
-    // cache_control on system blocks is dropped; Gemini has no prompt-caching API.
-    if let Some(anthropic::System::Blocks(blocks)) = &req.system {
-        if blocks.iter().any(|b| b.cache_control.is_some()) {
-            w.add("cache_control");
-        }
-    }
-
-    w
-}
-
-/// Convert an Anthropic `MessageCreateRequest` into a Gemini `GenerateContentRequest`.
-///
-/// Maps `thinking_config` to `generationConfig.thinkingConfig` for Gemini 2.5
-/// thinking models. Drops unsupported features (thinking content blocks in prior
-/// messages, document blocks, cache_control) and merges consecutive same-role
-/// messages to satisfy Gemini's strict alternation requirement.
-pub fn anthropic_to_gemini_request(
-    req: &anthropic::MessageCreateRequest,
-) -> gemini::GenerateContentRequest {
-    let tool_id_map = build_tool_id_map(&req.messages);
-
-    // System instruction
-    let system_instruction = req.system.as_ref().map(|sys| {
-        let text = match sys {
-            anthropic::System::Text(s) => s.clone(),
-            anthropic::System::Blocks(blocks) => blocks
-                .iter()
-                .map(|b| b.text.as_str())
-                .collect::<Vec<_>>()
-                .join("\n"),
-        };
-        gemini::Content {
-            role: None,
-            parts: vec![gemini::Part::text(text)],
-        }
-    });
-
-    // Convert messages
-    let mut contents: Vec<gemini::Content> = Vec::new();
-    for msg in &req.messages {
-        let role = match msg.role {
-            anthropic::Role::User => "user",
-            anthropic::Role::Assistant => "model",
-        };
-        let parts = content_blocks_to_parts(&msg.content, &tool_id_map);
-        if !parts.is_empty() {
-            contents.push(gemini::Content {
-                role: Some(role.to_string()),
-                parts,
-            });
-        }
-    }
-    contents = merge_consecutive_roles(contents);
-
-    // Tools
-    let tools = req.tools.as_ref().map(|tools| {
-        vec![gemini::Tool {
-            function_declarations: tools
-                .iter()
-                .map(|t| gemini::FunctionDeclaration {
-                    name: t.name.clone(),
-                    description: t.description.clone(),
-                    parameters: Some(sanitize_schema_for_gemini(t.input_schema.clone())),
-                })
-                .collect(),
-        }]
-    });
-
-    // Tool config
-    let tool_config = req.tool_choice.as_ref().map(|tc| {
-        if matches!(
-            tc,
-            anthropic::ToolChoice::Auto {
-                disable_parallel_tool_use: Some(true)
-            } | anthropic::ToolChoice::Any {
-                disable_parallel_tool_use: Some(true)
-            }
-        ) {
-            tracing::warn!(
-                "disable_parallel_tool_use=true is not supported by Gemini; \
-                 parallel tool calls may still occur"
-            );
-        }
-        let (mode, allowed) = match tc {
-            anthropic::ToolChoice::Auto { .. } => ("AUTO", None),
-            anthropic::ToolChoice::Any { .. } => ("ANY", None),
-            anthropic::ToolChoice::None => ("NONE", None),
-            // Gemini ANY + allowedFunctionNames restricts to a specific tool.
-            anthropic::ToolChoice::Tool { name, .. } => ("ANY", Some(vec![name.clone()])),
-        };
-        gemini::ToolConfig {
-            function_calling_config: gemini::FunctionCallingConfig {
-                mode: mode.to_string(),
-                allowed_function_names: allowed,
-            },
-        }
-    });
-
-    // Generation config
-    let generation_config = {
-        let thinking_config =
-            if let Some(anthropic::ThinkingConfig::Enabled { budget_tokens }) = &req.thinking {
-                Some(gemini::ThinkingConfig {
-                    thinking_budget: *budget_tokens,
-                    include_thoughts: Some(true),
-                })
-            } else {
-                None
-            };
-        let gc = gemini::GenerationConfig {
-            max_output_tokens: Some(req.max_tokens),
-            temperature: req.temperature,
-            top_p: req.top_p,
-            top_k: req.top_k,
-            stop_sequences: req.stop_sequences.clone(),
-            thinking_config,
-            ..Default::default()
-        };
-        Some(gc)
-    };
-
-    gemini::GenerateContentRequest {
-        contents,
-        system_instruction,
-        generation_config,
-        tools,
-        tool_config,
-        safety_settings: None,
-    }
-}
-
-/// Build a map from Anthropic tool_use IDs to tool names.
-///
-/// Scans all messages for `ToolUse` blocks so that `ToolResult` translation can
-/// look up the function name Gemini expects.
-pub fn build_tool_id_map(messages: &[anthropic::InputMessage]) -> HashMap<String, String> {
-    let mut map = HashMap::new();
-    for msg in messages {
-        let blocks = match &msg.content {
-            anthropic::Content::Text(_) => continue,
-            anthropic::Content::Blocks(b) => b,
-        };
-        for block in blocks {
-            if let anthropic::ContentBlock::ToolUse { id, name, .. } = block {
-                map.insert(id.clone(), name.clone());
-            }
-        }
-    }
-    map
-}
-
-/// Merge consecutive same-role `Content` entries by concatenating their parts.
-///
-/// Gemini requires strict user/model role alternation. When the Anthropic
-/// conversation has two consecutive user (or model) turns, this merges them
-/// into a single turn.
-pub fn merge_consecutive_roles(contents: Vec<gemini::Content>) -> Vec<gemini::Content> {
-    let mut merged: Vec<gemini::Content> = Vec::with_capacity(contents.len());
-    for c in contents {
-        if let Some(last) = merged.last_mut() {
-            if last.role == c.role {
-                last.parts.extend(c.parts);
-                continue;
-            }
-        }
-        merged.push(c);
-    }
-
-    // Gemini requires the first content turn to have role "user". An Anthropic
-    // client may legally send an assistant-first conversation (for few-shot
-    // prompting). Prepend a dummy user turn so Gemini does not return a 400.
-    if merged.first().and_then(|c| c.role.as_deref()) == Some("model") {
-        merged.insert(
-            0,
-            gemini::Content {
-                role: Some("user".to_string()),
-                parts: vec![gemini::Part::text(String::new())],
-            },
-        );
-    }
-
-    merged
-}
-
-/// Convert Anthropic message content into a vec of Gemini Parts.
-fn content_blocks_to_parts(
-    content: &anthropic::Content,
-    tool_id_map: &HashMap<String, String>,
-) -> Vec<gemini::Part> {
-    match content {
-        anthropic::Content::Text(s) => vec![gemini::Part::text(s.clone())],
-        anthropic::Content::Blocks(blocks) => blocks
-            .iter()
-            .filter_map(|block| content_block_to_part(block, tool_id_map))
-            .collect(),
-    }
-}
-
-/// Convert a single Anthropic ContentBlock to a Gemini Part, or None if dropped.
-fn content_block_to_part(
-    block: &anthropic::ContentBlock,
-    tool_id_map: &HashMap<String, String>,
-) -> Option<gemini::Part> {
-    match block {
-        anthropic::ContentBlock::Text { text } => Some(gemini::Part::text(text.clone())),
-
-        anthropic::ContentBlock::Image { source } => {
-            // Gemini only supports inline base64 data, not URLs.
-            if source.source_type == "base64" {
-                let mime = source
-                    .media_type
-                    .clone()
-                    .unwrap_or_else(|| "image/png".into());
-                let data = source.data.clone().unwrap_or_default();
-                Some(gemini::Part::inline_data(mime, data))
-            } else {
-                // URL-type images cannot be sent as inline_data; drop.
-                None
-            }
-        }
-
-        anthropic::ContentBlock::ToolUse { name, input, .. } => {
-            // Strip the Anthropic tool_use id; Gemini uses name-based correlation.
-            Some(gemini::Part::function_call(name.clone(), input.clone()))
-        }
-
-        anthropic::ContentBlock::ToolResult {
-            tool_use_id,
-            content,
-            is_error,
-        } => {
-            let Some(name) = tool_id_map.get(tool_use_id).cloned() else {
-                // Gemini requires the function name to match a declared FunctionDeclaration.
-                // Emitting an unknown name causes a 400; drop the result instead.
-                tracing::warn!(
-                    tool_use_id,
-                    "dropping ToolResult: tool_use_id not found in tool_id_map"
-                );
-                return None;
-            };
-
-            let response_value = tool_result_to_json(content, *is_error);
-            Some(gemini::Part::function_response(name, response_value))
-        }
-
-        // Thinking, RedactedThinking, Document: not supported by Gemini, drop.
-        anthropic::ContentBlock::Thinking { .. }
-        | anthropic::ContentBlock::RedactedThinking { .. }
-        | anthropic::ContentBlock::Document { .. } => None,
-        _ => None,
-    }
-}
-
-/// Convert Anthropic ToolResult content into a JSON value for Gemini FunctionResponse.
-fn tool_result_to_json(
-    content: &Option<anthropic::ToolResultContent>,
-    is_error: Option<bool>,
-) -> serde_json::Value {
-    let text = match content {
-        Some(anthropic::ToolResultContent::Text(s)) => s.clone(),
-        Some(anthropic::ToolResultContent::Blocks(blocks)) => {
-            // Concatenate text blocks; other block types (e.g., images) cannot be
-            // represented in Gemini FunctionResponse and are replaced with a placeholder.
-            blocks
-                .iter()
-                .map(|b| match b {
-                    anthropic::ContentBlock::Text { text } => text.clone(),
-                    _ => {
-                        tracing::warn!(
-                            "tool_result contains non-text block; \
-                             replacing with \"[non-text]\" placeholder for Gemini"
-                        );
-                        "[non-text]".into()
-                    }
-                })
-                .collect::<Vec<_>>()
-                .join("\n")
-        }
-        None => String::new(),
-    };
-
-    if is_error == Some(true) {
-        serde_json::json!({ "error": text })
-    } else {
-        serde_json::json!({ "result": text })
-    }
-}
-
-// ---------------------------------------------------------------------------
-// Response direction: Gemini -> Anthropic
-// ---------------------------------------------------------------------------
-
-/// Convert a Gemini `GenerateContentResponse` into an Anthropic `MessageResponse`.
-///
-/// Uses only the first candidate. Synthesizes Anthropic-format tool IDs for any
-/// function calls.
-pub fn gemini_to_anthropic_response(
-    resp: &gemini_resp::GenerateContentResponse,
-    model: &str,
-) -> anthropic::MessageResponse {
-    let candidate = resp.candidates.first();
-
-    let content = candidate
-        .map(|c| {
-            c.content
-                .parts
-                .iter()
-                .filter_map(gemini_part_to_content_block)
-                .collect::<Vec<_>>()
-        })
-        .unwrap_or_default();
-
-    let has_function_call = content
-        .iter()
-        .any(|b| matches!(b, anthropic::ContentBlock::ToolUse { .. }));
-
-    let stop_reason = candidate
-        .and_then(|c| c.finish_reason.as_ref())
-        .map(|fr| match fr {
-            gemini_resp::FinishReason::STOP if has_function_call => anthropic::StopReason::ToolUse,
-            gemini_resp::FinishReason::STOP => anthropic::StopReason::EndTurn,
-            gemini_resp::FinishReason::MAX_TOKENS => anthropic::StopReason::MaxTokens,
-            // SAFETY, RECITATION, LANGUAGE, OTHER, Unknown all map to EndTurn.
-            _ => anthropic::StopReason::EndTurn,
-        })
-        // No finish_reason at all (e.g. empty candidates) -> EndTurn.
-        .or(if candidate.is_some() {
-            Some(anthropic::StopReason::EndTurn)
-        } else {
-            None
-        });
-
-    let usage = resp
-        .usage_metadata
-        .as_ref()
-        .map(|u| anthropic::Usage {
-            input_tokens: u.prompt_token_count,
-            output_tokens: u.candidates_token_count,
-            cache_creation_input_tokens: None,
-            cache_read_input_tokens: None,
-            ..Default::default()
-        })
-        .unwrap_or_default();
-
-    anthropic::MessageResponse {
-        id: generate_message_id(),
-        response_type: "message".into(),
-        role: anthropic::Role::Assistant,
-        content,
-        model: model.to_string(),
-        stop_reason,
-        stop_sequence: None,
-        usage,
-        created: None,
-    }
-}
-
-/// Convert a single Gemini Part to an Anthropic ContentBlock, or None if not mappable.
-fn gemini_part_to_content_block(part: &gemini::Part) -> Option<anthropic::ContentBlock> {
-    // Thought parts from thinking models map to Anthropic thinking blocks.
-    if part.thought == Some(true) {
-        return part
-            .text
-            .as_ref()
-            .map(|text| anthropic::ContentBlock::Thinking {
-                thinking: text.clone(),
-                signature: None,
-            });
-    }
-    if let Some(text) = &part.text {
-        return Some(anthropic::ContentBlock::Text { text: text.clone() });
-    }
-    if let Some(fc) = &part.function_call {
-        return Some(anthropic::ContentBlock::ToolUse {
-            id: generate_tool_use_id(),
-            name: fc.name.clone(),
-            input: fc.args.clone(),
-        });
-    }
-    // inline_data, file_data, function_response: not expected in model output,
-    // or have no Anthropic equivalent. Drop.
-    None
-}
-
-// ---------------------------------------------------------------------------
-// Input direction: Gemini CLI -> Anthropic (for accepting Gemini-format input)
-// ---------------------------------------------------------------------------
-
-/// Convert a Gemini CLI `GenerateContentRequest` into an Anthropic `MessageCreateRequest`.
-///
-/// `model` is the model name extracted from the URL path (e.g. `gemini-2.5-pro` from
-/// `POST /v1beta/models/gemini-2.5-pro:generateContent`). All generation config fields
-/// map directly; unsupported Gemini features (safety settings, response_schema) are dropped.
-pub fn gemini_to_anthropic_request(
-    req: &gemini::GenerateContentRequest,
-    model: &str,
-) -> anthropic::MessageCreateRequest {
-    // Build name->id map so that function_response parts reference the same
-    // synthetic tool_use_id as the corresponding function_call part.
-    let mut name_to_id: HashMap<String, String> = HashMap::new();
-    for content in &req.contents {
-        for part in &content.parts {
-            if let Some(ref fc) = part.function_call {
-                name_to_id
-                    .entry(fc.name.clone())
-                    .or_insert_with(generate_tool_use_id);
-            }
-        }
-    }
-
-    // System instruction -> system
-    let system = req.system_instruction.as_ref().map(|si| {
-        let text = si
-            .parts
-            .iter()
-            .filter_map(|p| p.text.as_deref())
-            .collect::<Vec<_>>()
-            .join("\n");
-        anthropic::System::Text(text)
-    });
-
-    // Contents -> messages
-    let messages: Vec<anthropic::InputMessage> = req
-        .contents
-        .iter()
-        .filter_map(|c| gemini_content_to_input_message(c, &name_to_id))
-        .collect();
-
-    // Generation config
-    let gc = req.generation_config.as_ref();
-    let max_tokens = gc.and_then(|g| g.max_output_tokens).unwrap_or(8192);
-    let temperature = gc.and_then(|g| g.temperature);
-    let top_p = gc.and_then(|g| g.top_p);
-    let top_k = gc.and_then(|g| g.top_k);
-    let stop_sequences = gc
-        .and_then(|g| g.stop_sequences.clone())
-        .filter(|v| !v.is_empty());
-
-    // Tools
-    let tools = req.tools.as_ref().map(|ts| {
-        ts.iter()
-            .flat_map(|t| t.function_declarations.iter())
-            .map(|fd| anthropic::Tool {
-                name: fd.name.clone(),
-                description: fd.description.clone(),
-                input_schema: fd
-                    .parameters
-                    .clone()
-                    .unwrap_or_else(|| serde_json::json!({"type": "object"})),
-            })
-            .collect::<Vec<_>>()
-    });
-
-    // Tool choice
-    let tool_choice = req.tool_config.as_ref().map(|tc| {
-        match tc.function_calling_config.mode.as_str() {
-            "NONE" => anthropic::ToolChoice::None,
-            "ANY" => match tc.function_calling_config.allowed_function_names.as_deref() {
-                Some([name]) => anthropic::ToolChoice::Tool { name: name.clone() },
-                _ => anthropic::ToolChoice::Any {
-                    disable_parallel_tool_use: None,
-                },
-            },
-            // AUTO or anything else
-            _ => anthropic::ToolChoice::Auto {
-                disable_parallel_tool_use: None,
-            },
-        }
-    });
-
-    anthropic::MessageCreateRequest {
-        model: model.to_string(),
-        max_tokens,
-        messages,
-        system,
-        temperature,
-        top_p,
-        top_k,
-        stop_sequences,
-        tools,
-        tool_choice,
-        metadata: None,
-        thinking: None,
-        stream: None,
-        extra: Default::default(),
-    }
-}
-
-/// Convert a single Gemini `Content` turn into an Anthropic `InputMessage`.
-/// Returns `None` if the turn produces no content blocks (e.g. all parts were dropped).
-fn gemini_content_to_input_message(
-    content: &gemini::Content,
-    name_to_id: &HashMap<String, String>,
-) -> Option<anthropic::InputMessage> {
-    let role = match content.role.as_deref() {
-        Some("model") => anthropic::Role::Assistant,
-        // "user", None, or anything unrecognised -> user.
-        _ => anthropic::Role::User,
-    };
-    let blocks: Vec<anthropic::ContentBlock> = content
-        .parts
-        .iter()
-        .filter_map(|p| gemini_input_part_to_block(p, name_to_id))
-        .collect();
-    if blocks.is_empty() {
-        return None;
-    }
-    Some(anthropic::InputMessage {
-        role,
-        content: anthropic::Content::Blocks(blocks),
-    })
-}
-
-/// Convert a single Gemini `Part` from a user/model message into an Anthropic `ContentBlock`.
-fn gemini_input_part_to_block(
-    part: &gemini::Part,
-    name_to_id: &HashMap<String, String>,
-) -> Option<anthropic::ContentBlock> {
-    if let Some(ref text) = part.text {
-        return Some(anthropic::ContentBlock::Text { text: text.clone() });
-    }
-    if let Some(ref fc) = part.function_call {
-        let id = name_to_id
-            .get(&fc.name)
-            .cloned()
-            .unwrap_or_else(generate_tool_use_id);
-        return Some(anthropic::ContentBlock::ToolUse {
-            id,
-            name: fc.name.clone(),
-            input: fc.args.clone(),
-        });
-    }
-    if let Some(ref fr) = part.function_response {
-        let tool_use_id = name_to_id
-            .get(&fr.name)
-            .cloned()
-            .unwrap_or_else(generate_tool_use_id);
-        return Some(anthropic::ContentBlock::ToolResult {
-            tool_use_id,
-            content: Some(anthropic::ToolResultContent::Text(
-                serde_json::to_string(&fr.response).unwrap_or_default(),
-            )),
-            is_error: None,
-        });
-    }
-    if let Some(ref data) = part.inline_data {
-        if data.mime_type.starts_with("image/") {
-            return Some(anthropic::ContentBlock::Image {
-                source: anthropic::ImageSource {
-                    source_type: "base64".to_string(),
-                    media_type: Some(data.mime_type.clone()),
-                    data: Some(data.data.clone()),
-                    url: None,
-                },
-            });
-        }
-        // Non-image inline data (audio, video, etc.) has no Anthropic equivalent — drop.
-        tracing::warn!(
-            mime_type = %data.mime_type,
-            "dropping inline_data part with non-image mime type (no Anthropic equivalent)"
-        );
-    }
-    None
-}
-
-/// Convert an Anthropic `MessageResponse` into a Gemini `GenerateContentResponse`.
-///
-/// Used when the proxy accepts Gemini CLI input and must return Gemini-format output.
-/// This is the inverse of `gemini_to_anthropic_response`.
-pub fn anthropic_to_gemini_response(
-    resp: &anthropic::MessageResponse,
-) -> gemini_resp::GenerateContentResponse {
-    let parts: Vec<gemini::Part> = resp
-        .content
-        .iter()
-        .filter_map(|block| match block {
-            anthropic::ContentBlock::Text { text } => Some(gemini::Part::text(text.clone())),
-            anthropic::ContentBlock::ToolUse { name, input, .. } => {
-                Some(gemini::Part::function_call(name.clone(), input.clone()))
-            }
-            anthropic::ContentBlock::Thinking { thinking, .. } => Some(gemini::Part {
-                thought: Some(true),
-                text: Some(thinking.clone()),
-                ..Default::default()
-            }),
-            // ToolResult, Image, Document, RedactedThinking: not expected in model output.
-            _ => None,
-        })
-        .collect();
-
-    let finish_reason = resp.stop_reason.as_ref().map(|sr| match sr {
-        anthropic::StopReason::EndTurn | anthropic::StopReason::ToolUse => {
-            gemini_resp::FinishReason::STOP
-        }
-        anthropic::StopReason::MaxTokens => gemini_resp::FinishReason::MAX_TOKENS,
-        anthropic::StopReason::StopSequence => gemini_resp::FinishReason::STOP,
-        _ => gemini_resp::FinishReason::STOP,
-    });
-
-    let candidate = gemini_resp::Candidate {
-        content: gemini::Content {
-            role: Some("model".to_string()),
-            parts,
-        },
-        finish_reason,
-        safety_ratings: None,
-    };
-
-    gemini_resp::GenerateContentResponse {
-        candidates: vec![candidate],
-        usage_metadata: Some(gemini_resp::UsageMetadata {
-            prompt_token_count: resp.usage.input_tokens,
-            candidates_token_count: resp.usage.output_tokens,
-            total_token_count: resp.usage.input_tokens + resp.usage.output_tokens,
-            cached_content_token_count: 0,
-        }),
-        model_version: Some(resp.model.clone()),
-    }
-}
+pub use helpers::{build_tool_id_map, merge_consecutive_roles};
+pub use request::{anthropic_to_gemini_request, compute_gemini_request_warnings};
+pub use response::gemini_to_anthropic_response;
+pub use reverse::{anthropic_to_gemini_response, gemini_to_anthropic_request};
 
 #[cfg(test)]
 mod tests;
diff --git a/crates/translator/src/mapping/gemini_message_map/helpers.rs b/crates/translator/src/mapping/gemini_message_map/helpers.rs
new file mode 100644
index 0000000..9d6f2fd
--- /dev/null
+++ b/crates/translator/src/mapping/gemini_message_map/helpers.rs
@@ -0,0 +1,60 @@
+// Common translation utilities shared across the Gemini message-map directions:
+// tool-id lookup and Gemini role-alternation merging.
+
+use std::collections::HashMap;
+
+use crate::anthropic::messages as anthropic;
+use crate::gemini::request as gemini;
+
+/// Build a map from Anthropic tool_use IDs to tool names.
+///
+/// Scans all messages for `ToolUse` blocks so that `ToolResult` translation can
+/// look up the function name Gemini expects.
+pub fn build_tool_id_map(messages: &[anthropic::InputMessage]) -> HashMap<String, String> {
+    let mut map = HashMap::new();
+    for msg in messages {
+        let blocks = match &msg.content {
+            anthropic::Content::Text(_) => continue,
+            anthropic::Content::Blocks(b) => b,
+        };
+        for block in blocks {
+            if let anthropic::ContentBlock::ToolUse { id, name, .. } = block {
+                map.insert(id.clone(), name.clone());
+            }
+        }
+    }
+    map
+}
+
+/// Merge consecutive same-role `Content` entries by concatenating their parts.
+///
+/// Gemini requires strict user/model role alternation. When the Anthropic
+/// conversation has two consecutive user (or model) turns, this merges them
+/// into a single turn.
+pub fn merge_consecutive_roles(contents: Vec<gemini::Content>) -> Vec<gemini::Content> {
+    let mut merged: Vec<gemini::Content> = Vec::with_capacity(contents.len());
+    for c in contents {
+        if let Some(last) = merged.last_mut() {
+            if last.role == c.role {
+                last.parts.extend(c.parts);
+                continue;
+            }
+        }
+        merged.push(c);
+    }
+
+    // Gemini requires the first content turn to have role "user". An Anthropic
+    // client may legally send an assistant-first conversation (for few-shot
+    // prompting). Prepend a dummy user turn so Gemini does not return a 400.
+    if merged.first().and_then(|c| c.role.as_deref()) == Some("model") {
+        merged.insert(
+            0,
+            gemini::Content {
+                role: Some("user".to_string()),
+                parts: vec![gemini::Part::text(String::new())],
+            },
+        );
+    }
+
+    merged
+}
diff --git a/crates/translator/src/mapping/gemini_message_map/request.rs b/crates/translator/src/mapping/gemini_message_map/request.rs
new file mode 100644
index 0000000..e0db877
--- /dev/null
+++ b/crates/translator/src/mapping/gemini_message_map/request.rs
@@ -0,0 +1,286 @@
+// Request direction: Anthropic -> Gemini.
+
+use std::collections::HashMap;
+
+use super::helpers::{build_tool_id_map, merge_consecutive_roles};
+use crate::anthropic::messages as anthropic;
+use crate::gemini::request as gemini;
+use crate::mapping::tools_map::sanitize_schema_for_gemini;
+
+/// Compute degradation warnings for a Gemini-bound request.
+///
+/// Call before translating to surface features that are silently dropped during
+/// Anthropic → Gemini translation. Emit the result as an `x-anyllm-degradation`
+/// response header so clients can detect lossy translations.
+pub fn compute_gemini_request_warnings(
+    req: &anthropic::MessageCreateRequest,
+) -> crate::mapping::warnings::TranslationWarnings {
+    use crate::mapping::warnings::TranslationWarnings;
+    let mut w = TranslationWarnings::default();
+
+    // Single pass: collect all per-block warning flags at once.
+    let mut has_thinking = false;
+    let mut has_document = false;
+    let mut has_url_image = false;
+    for msg in &req.messages {
+        if let anthropic::Content::Blocks(blocks) = &msg.content {
+            for b in blocks {
+                match b {
+                    // Thinking/RedactedThinking: no Gemini Content equivalent.
+                    anthropic::ContentBlock::Thinking { .. }
+                    | anthropic::ContentBlock::RedactedThinking { .. } => has_thinking = true,
+                    // Document blocks have no Gemini equivalent.
+                    anthropic::ContentBlock::Document { .. } => has_document = true,
+                    // URL-type images: Gemini only accepts inline base64 data.
+                    anthropic::ContentBlock::Image { source } if source.source_type != "base64" => {
+                        has_url_image = true
+                    }
+                    _ => {}
+                }
+            }
+        }
+    }
+    if has_thinking {
+        w.add("thinking_blocks");
+    }
+    if has_document {
+        w.add("document_blocks");
+    }
+    if has_url_image {
+        w.add("url_images");
+    }
+
+    // cache_control on system blocks is dropped; Gemini has no prompt-caching API.
+    if let Some(anthropic::System::Blocks(blocks)) = &req.system {
+        if blocks.iter().any(|b| b.cache_control.is_some()) {
+            w.add("cache_control");
+        }
+    }
+
+    w
+}
+
+/// Convert an Anthropic `MessageCreateRequest` into a Gemini `GenerateContentRequest`.
+///
+/// Maps `thinking_config` to `generationConfig.thinkingConfig` for Gemini 2.5
+/// thinking models. Drops unsupported features (thinking content blocks in prior
+/// messages, document blocks, cache_control) and merges consecutive same-role
+/// messages to satisfy Gemini's strict alternation requirement.
+pub fn anthropic_to_gemini_request(
+    req: &anthropic::MessageCreateRequest,
+) -> gemini::GenerateContentRequest {
+    let tool_id_map = build_tool_id_map(&req.messages);
+
+    // System instruction
+    let system_instruction = req.system.as_ref().map(|sys| {
+        let text = match sys {
+            anthropic::System::Text(s) => s.clone(),
+            anthropic::System::Blocks(blocks) => blocks
+                .iter()
+                .map(|b| b.text.as_str())
+                .collect::<Vec<_>>()
+                .join("\n"),
+        };
+        gemini::Content {
+            role: None,
+            parts: vec![gemini::Part::text(text)],
+        }
+    });
+
+    // Convert messages
+    let mut contents: Vec<gemini::Content> = Vec::new();
+    for msg in &req.messages {
+        let role = match msg.role {
+            anthropic::Role::User => "user",
+            anthropic::Role::Assistant => "model",
+        };
+        let parts = content_blocks_to_parts(&msg.content, &tool_id_map);
+        if !parts.is_empty() {
+            contents.push(gemini::Content {
+                role: Some(role.to_string()),
+                parts,
+            });
+        }
+    }
+    contents = merge_consecutive_roles(contents);
+
+    // Tools
+    let tools = req.tools.as_ref().map(|tools| {
+        vec![gemini::Tool {
+            function_declarations: tools
+                .iter()
+                .map(|t| gemini::FunctionDeclaration {
+                    name: t.name.clone(),
+                    description: t.description.clone(),
+                    parameters: Some(sanitize_schema_for_gemini(t.input_schema.clone())),
+                })
+                .collect(),
+        }]
+    });
+
+    // Tool config
+    let tool_config = req.tool_choice.as_ref().map(|tc| {
+        if matches!(
+            tc,
+            anthropic::ToolChoice::Auto {
+                disable_parallel_tool_use: Some(true)
+            } | anthropic::ToolChoice::Any {
+                disable_parallel_tool_use: Some(true)
+            }
+        ) {
+            tracing::warn!(
+                "disable_parallel_tool_use=true is not supported by Gemini; \
+                 parallel tool calls may still occur"
+            );
+        }
+        let (mode, allowed) = match tc {
+            anthropic::ToolChoice::Auto { .. } => ("AUTO", None),
+            anthropic::ToolChoice::Any { .. } => ("ANY", None),
+            anthropic::ToolChoice::None => ("NONE", None),
+            // Gemini ANY + allowedFunctionNames restricts to a specific tool.
+            anthropic::ToolChoice::Tool { name, .. } => ("ANY", Some(vec![name.clone()])),
+        };
+        gemini::ToolConfig {
+            function_calling_config: gemini::FunctionCallingConfig {
+                mode: mode.to_string(),
+                allowed_function_names: allowed,
+            },
+        }
+    });
+
+    // Generation config
+    let generation_config = {
+        let thinking_config =
+            if let Some(anthropic::ThinkingConfig::Enabled { budget_tokens }) = &req.thinking {
+                Some(gemini::ThinkingConfig {
+                    thinking_budget: *budget_tokens,
+                    include_thoughts: Some(true),
+                })
+            } else {
+                None
+            };
+        let gc = gemini::GenerationConfig {
+            max_output_tokens: Some(req.max_tokens),
+            temperature: req.temperature,
+            top_p: req.top_p,
+            top_k: req.top_k,
+            stop_sequences: req.stop_sequences.clone(),
+            thinking_config,
+            ..Default::default()
+        };
+        Some(gc)
+    };
+
+    gemini::GenerateContentRequest {
+        contents,
+        system_instruction,
+        generation_config,
+        tools,
+        tool_config,
+        safety_settings: None,
+    }
+}
+
+/// Convert Anthropic message content into a vec of Gemini Parts.
+fn content_blocks_to_parts(
+    content: &anthropic::Content,
+    tool_id_map: &HashMap<String, String>,
+) -> Vec<gemini::Part> {
+    match content {
+        anthropic::Content::Text(s) => vec![gemini::Part::text(s.clone())],
+        anthropic::Content::Blocks(blocks) => blocks
+            .iter()
+            .filter_map(|block| content_block_to_part(block, tool_id_map))
+            .collect(),
+    }
+}
+
+/// Convert a single Anthropic ContentBlock to a Gemini Part, or None if dropped.
+fn content_block_to_part(
+    block: &anthropic::ContentBlock,
+    tool_id_map: &HashMap<String, String>,
+) -> Option<gemini::Part> {
+    match block {
+        anthropic::ContentBlock::Text { text } => Some(gemini::Part::text(text.clone())),
+
+        anthropic::ContentBlock::Image { source } => {
+            // Gemini only supports inline base64 data, not URLs.
+            if source.source_type == "base64" {
+                let mime = source
+                    .media_type
+                    .clone()
+                    .unwrap_or_else(|| "image/png".into());
+                let data = source.data.clone().unwrap_or_default();
+                Some(gemini::Part::inline_data(mime, data))
+            } else {
+                // URL-type images cannot be sent as inline_data; drop.
+                None
+            }
+        }
+
+        anthropic::ContentBlock::ToolUse { name, input, .. } => {
+            // Strip the Anthropic tool_use id; Gemini uses name-based correlation.
+            Some(gemini::Part::function_call(name.clone(), input.clone()))
+        }
+
+        anthropic::ContentBlock::ToolResult {
+            tool_use_id,
+            content,
+            is_error,
+        } => {
+            let Some(name) = tool_id_map.get(tool_use_id).cloned() else {
+                // Gemini requires the function name to match a declared FunctionDeclaration.
+                // Emitting an unknown name causes a 400; drop the result instead.
+                tracing::warn!(
+                    tool_use_id,
+                    "dropping ToolResult: tool_use_id not found in tool_id_map"
+                );
+                return None;
+            };
+
+            let response_value = tool_result_to_json(content, *is_error);
+            Some(gemini::Part::function_response(name, response_value))
+        }
+
+        // Thinking, RedactedThinking, Document: not supported by Gemini, drop.
+        anthropic::ContentBlock::Thinking { .. }
+        | anthropic::ContentBlock::RedactedThinking { .. }
+        | anthropic::ContentBlock::Document { .. } => None,
+        _ => None,
+    }
+}
+
+/// Convert Anthropic ToolResult content into a JSON value for Gemini FunctionResponse.
+fn tool_result_to_json(
+    content: &Option<anthropic::ToolResultContent>,
+    is_error: Option<bool>,
+) -> serde_json::Value {
+    let text = match content {
+        Some(anthropic::ToolResultContent::Text(s)) => s.clone(),
+        Some(anthropic::ToolResultContent::Blocks(blocks)) => {
+            // Concatenate text blocks; other block types (e.g., images) cannot be
+            // represented in Gemini FunctionResponse and are replaced with a placeholder.
+            blocks
+                .iter()
+                .map(|b| match b {
+                    anthropic::ContentBlock::Text { text } => text.clone(),
+                    _ => {
+                        tracing::warn!(
+                            "tool_result contains non-text block; \
+                             replacing with \"[non-text]\" placeholder for Gemini"
+                        );
+                        "[non-text]".into()
+                    }
+                })
+                .collect::<Vec<_>>()
+                .join("\n")
+        }
+        None => String::new(),
+    };
+
+    if is_error == Some(true) {
+        serde_json::json!({ "error": text })
+    } else {
+        serde_json::json!({ "result": text })
+    }
+}
diff --git a/crates/translator/src/mapping/gemini_message_map/response.rs b/crates/translator/src/mapping/gemini_message_map/response.rs
new file mode 100644
index 0000000..50d6e79
--- /dev/null
+++ b/crates/translator/src/mapping/gemini_message_map/response.rs
@@ -0,0 +1,98 @@
+// Response direction: Gemini -> Anthropic.
+
+use crate::anthropic::messages as anthropic;
+use crate::gemini::request as gemini;
+use crate::gemini::response as gemini_resp;
+use crate::util::ids::{generate_message_id, generate_tool_use_id};
+
+/// Convert a Gemini `GenerateContentResponse` into an Anthropic `MessageResponse`.
+///
+/// Uses only the first candidate. Synthesizes Anthropic-format tool IDs for any
+/// function calls.
+pub fn gemini_to_anthropic_response(
+    resp: &gemini_resp::GenerateContentResponse,
+    model: &str,
+) -> anthropic::MessageResponse {
+    let candidate = resp.candidates.first();
+
+    let content = candidate
+        .map(|c| {
+            c.content
+                .parts
+                .iter()
+                .filter_map(gemini_part_to_content_block)
+                .collect::<Vec<_>>()
+        })
+        .unwrap_or_default();
+
+    let has_function_call = content
+        .iter()
+        .any(|b| matches!(b, anthropic::ContentBlock::ToolUse { .. }));
+
+    let stop_reason = candidate
+        .and_then(|c| c.finish_reason.as_ref())
+        .map(|fr| match fr {
+            gemini_resp::FinishReason::STOP if has_function_call => anthropic::StopReason::ToolUse,
+            gemini_resp::FinishReason::STOP => anthropic::StopReason::EndTurn,
+            gemini_resp::FinishReason::MAX_TOKENS => anthropic::StopReason::MaxTokens,
+            // SAFETY, RECITATION, LANGUAGE, OTHER, Unknown all map to EndTurn.
+            _ => anthropic::StopReason::EndTurn,
+        })
+        // No finish_reason at all (e.g. empty candidates) -> EndTurn.
+        .or(if candidate.is_some() {
+            Some(anthropic::StopReason::EndTurn)
+        } else {
+            None
+        });
+
+    let usage = resp
+        .usage_metadata
+        .as_ref()
+        .map(|u| anthropic::Usage {
+            input_tokens: u.prompt_token_count,
+            output_tokens: u.candidates_token_count,
+            cache_creation_input_tokens: None,
+            cache_read_input_tokens: None,
+            ..Default::default()
+        })
+        .unwrap_or_default();
+
+    anthropic::MessageResponse {
+        id: generate_message_id(),
+        response_type: "message".into(),
+        role: anthropic::Role::Assistant,
+        content,
+        model: model.to_string(),
+        stop_reason,
+        stop_sequence: None,
+        usage,
+        created: None,
+    }
+}
+
+/// Convert a single Gemini Part to an Anthropic ContentBlock, or None if not mappable.
+fn gemini_part_to_content_block(part: &gemini::Part) -> Option<anthropic::ContentBlock> {
+    // Thought parts from thinking models map to Anthropic thinking blocks.
+    if part.thought == Some(true) {
+        return part
+            .text
+            .as_ref()
+            .map(|text| anthropic::ContentBlock::Thinking {
+                thinking: text.clone(),
+                signature: None,
+            });
+    }
+    if let Some(text) = &part.text {
+        return Some(anthropic::ContentBlock::Text { text: text.clone() });
+    }
+    if let Some(fc) = &part.function_call {
+        return Some(anthropic::ContentBlock::ToolUse {
+            id: generate_tool_use_id(),
+            name: fc.name.clone(),
+            input: fc.args.clone(),
+        });
+    }
+    // inline_data, file_data, function_response: not expected in model output,
+    // or have no Anthropic equivalent. Drop.
+    None
+}
diff --git a/crates/translator/src/mapping/gemini_message_map/reverse.rs b/crates/translator/src/mapping/gemini_message_map/reverse.rs
new file mode 100644
index 0000000..f90d624
--- /dev/null
+++ b/crates/translator/src/mapping/gemini_message_map/reverse.rs
@@ -0,0 +1,242 @@
+// Reverse directions:
+//   - Gemini CLI request -> Anthropic request (for accepting Gemini-format input)
+//   - Anthropic response -> Gemini response (for returning Gemini-format output)
+
+use std::collections::HashMap;
+
+use crate::anthropic::messages as anthropic;
+use crate::gemini::request as gemini;
+use crate::gemini::response as gemini_resp;
+use crate::util::ids::generate_tool_use_id;
+
+/// Convert a Gemini CLI `GenerateContentRequest` into an Anthropic `MessageCreateRequest`.
+///
+/// `model` is the model name extracted from the URL path (e.g. `gemini-2.5-pro` from
+/// `POST /v1beta/models/gemini-2.5-pro:generateContent`). All generation config fields
+/// map directly; unsupported Gemini features (safety settings, response_schema) are dropped.
+pub fn gemini_to_anthropic_request(
+    req: &gemini::GenerateContentRequest,
+    model: &str,
+) -> anthropic::MessageCreateRequest {
+    // Build name->id map so that function_response parts reference the same
+    // synthetic tool_use_id as the corresponding function_call part.
+    let mut name_to_id: HashMap<String, String> = HashMap::new();
+    for content in &req.contents {
+        for part in &content.parts {
+            if let Some(ref fc) = part.function_call {
+                name_to_id
+                    .entry(fc.name.clone())
+                    .or_insert_with(generate_tool_use_id);
+            }
+        }
+    }
+
+    // System instruction -> system
+    let system = req.system_instruction.as_ref().map(|si| {
+        let text = si
+            .parts
+            .iter()
+            .filter_map(|p| p.text.as_deref())
+            .collect::<Vec<_>>()
+            .join("\n");
+        anthropic::System::Text(text)
+    });
+
+    // Contents -> messages
+    let messages: Vec<anthropic::InputMessage> = req
+        .contents
+        .iter()
+        .filter_map(|c| gemini_content_to_input_message(c, &name_to_id))
+        .collect();
+
+    // Generation config
+    let gc = req.generation_config.as_ref();
+    let max_tokens = gc.and_then(|g| g.max_output_tokens).unwrap_or(8192);
+    let temperature = gc.and_then(|g| g.temperature);
+    let top_p = gc.and_then(|g| g.top_p);
+    let top_k = gc.and_then(|g| g.top_k);
+    let stop_sequences = gc
+        .and_then(|g| g.stop_sequences.clone())
+        .filter(|v| !v.is_empty());
+
+    // Tools
+    let tools = req.tools.as_ref().map(|ts| {
+        ts.iter()
+            .flat_map(|t| t.function_declarations.iter())
+            .map(|fd| anthropic::Tool {
+                name: fd.name.clone(),
+                description: fd.description.clone(),
+                input_schema: fd
+                    .parameters
+                    .clone()
+                    .unwrap_or_else(|| serde_json::json!({"type": "object"})),
+            })
+            .collect::<Vec<_>>()
+    });
+
+    // Tool choice
+    let tool_choice = req.tool_config.as_ref().map(|tc| {
+        match tc.function_calling_config.mode.as_str() {
+            "NONE" => anthropic::ToolChoice::None,
+            "ANY" => match tc.function_calling_config.allowed_function_names.as_deref() {
+                Some([name]) => anthropic::ToolChoice::Tool { name: name.clone() },
+                _ => anthropic::ToolChoice::Any {
+                    disable_parallel_tool_use: None,
+                },
+            },
+            // AUTO or anything else
+            _ => anthropic::ToolChoice::Auto {
+                disable_parallel_tool_use: None,
+            },
+        }
+    });
+
+    anthropic::MessageCreateRequest {
+        model: model.to_string(),
+        max_tokens,
+        messages,
+        system,
+        temperature,
+        top_p,
+        top_k,
+        stop_sequences,
+        tools,
+        tool_choice,
+        metadata: None,
+        thinking: None,
+        stream: None,
+        extra: Default::default(),
+    }
+}
+
+/// Convert a single Gemini `Content` turn into an Anthropic `InputMessage`.
+/// Returns `None` if the turn produces no content blocks (e.g. all parts were dropped).
+fn gemini_content_to_input_message(
+    content: &gemini::Content,
+    name_to_id: &HashMap<String, String>,
+) -> Option<anthropic::InputMessage> {
+    let role = match content.role.as_deref() {
+        Some("model") => anthropic::Role::Assistant,
+        // "user", None, or anything unrecognised -> user.
+        _ => anthropic::Role::User,
+    };
+    let blocks: Vec<anthropic::ContentBlock> = content
+        .parts
+        .iter()
+        .filter_map(|p| gemini_input_part_to_block(p, name_to_id))
+        .collect();
+    if blocks.is_empty() {
+        return None;
+    }
+    Some(anthropic::InputMessage {
+        role,
+        content: anthropic::Content::Blocks(blocks),
+    })
+}
+
+/// Convert a single Gemini `Part` from a user/model message into an Anthropic `ContentBlock`.
+fn gemini_input_part_to_block(
+    part: &gemini::Part,
+    name_to_id: &HashMap<String, String>,
+) -> Option<anthropic::ContentBlock> {
+    if let Some(ref text) = part.text {
+        return Some(anthropic::ContentBlock::Text { text: text.clone() });
+    }
+    if let Some(ref fc) = part.function_call {
+        let id = name_to_id
+            .get(&fc.name)
+            .cloned()
+            .unwrap_or_else(generate_tool_use_id);
+        return Some(anthropic::ContentBlock::ToolUse {
+            id,
+            name: fc.name.clone(),
+            input: fc.args.clone(),
+        });
+    }
+    if let Some(ref fr) = part.function_response {
+        let tool_use_id = name_to_id
+            .get(&fr.name)
+            .cloned()
+            .unwrap_or_else(generate_tool_use_id);
+        return Some(anthropic::ContentBlock::ToolResult {
+            tool_use_id,
+            content: Some(anthropic::ToolResultContent::Text(
+                serde_json::to_string(&fr.response).unwrap_or_default(),
+            )),
+            is_error: None,
+        });
+    }
+    if let Some(ref data) = part.inline_data {
+        if data.mime_type.starts_with("image/") {
+            return Some(anthropic::ContentBlock::Image {
+                source: anthropic::ImageSource {
+                    source_type: "base64".to_string(),
+                    media_type: Some(data.mime_type.clone()),
+                    data: Some(data.data.clone()),
+                    url: None,
+                },
+            });
+        }
+        // Non-image inline data (audio, video, etc.) has no Anthropic equivalent — drop.
+        tracing::warn!(
+            mime_type = %data.mime_type,
+            "dropping inline_data part with non-image mime type (no Anthropic equivalent)"
+        );
+    }
+    None
+}
+
+/// Convert an Anthropic `MessageResponse` into a Gemini `GenerateContentResponse`.
+///
+/// Used when the proxy accepts Gemini CLI input and must return Gemini-format output.
+/// This is the inverse of `gemini_to_anthropic_response`.
+pub fn anthropic_to_gemini_response(
+    resp: &anthropic::MessageResponse,
+) -> gemini_resp::GenerateContentResponse {
+    let parts: Vec<gemini::Part> = resp
+        .content
+        .iter()
+        .filter_map(|block| match block {
+            anthropic::ContentBlock::Text { text } => Some(gemini::Part::text(text.clone())),
+            anthropic::ContentBlock::ToolUse { name, input, .. } => {
+                Some(gemini::Part::function_call(name.clone(), input.clone()))
+            }
+            anthropic::ContentBlock::Thinking { thinking, .. } => Some(gemini::Part {
+                thought: Some(true),
+                text: Some(thinking.clone()),
+                ..Default::default()
+            }),
+            // ToolResult, Image, Document, RedactedThinking: not expected in model output.
+            _ => None,
+        })
+        .collect();
+
+    let finish_reason = resp.stop_reason.as_ref().map(|sr| match sr {
+        anthropic::StopReason::EndTurn | anthropic::StopReason::ToolUse => {
+            gemini_resp::FinishReason::STOP
+        }
+        anthropic::StopReason::MaxTokens => gemini_resp::FinishReason::MAX_TOKENS,
+        anthropic::StopReason::StopSequence => gemini_resp::FinishReason::STOP,
+        _ => gemini_resp::FinishReason::STOP,
+    });
+
+    let candidate = gemini_resp::Candidate {
+        content: gemini::Content {
+            role: Some("model".to_string()),
+            parts,
+        },
+        finish_reason,
+        safety_ratings: None,
+    };
+
+    gemini_resp::GenerateContentResponse {
+        candidates: vec![candidate],
+        usage_metadata: Some(gemini_resp::UsageMetadata {
+            prompt_token_count: resp.usage.input_tokens,
+            candidates_token_count: resp.usage.output_tokens,
+            total_token_count: resp.usage.input_tokens + resp.usage.output_tokens,
+            cached_content_token_count: 0,
+        }),
+        model_version: Some(resp.model.clone()),
+    }
+}
diff --git a/crates/translator/src/mapping/gemini_message_map/tests.rs b/crates/translator/src/mapping/gemini_message_map/tests.rs
index 410c8bb..c7bb9bc 100644
--- a/crates/translator/src/mapping/gemini_message_map/tests.rs
+++ b/crates/translator/src/mapping/gemini_message_map/tests.rs
@@ -1,4 +1,7 @@
 use super::*;
+use crate::anthropic::messages as anthropic;
+use crate::gemini::request as gemini;
+use crate::gemini::response as gemini_resp;
 use serde_json::json;
 
 // Helper: build a minimal Anthropic request for testing.
diff --git a/crates/translator/src/mapping/reverse_message_map/context.rs b/crates/translator/src/mapping/reverse_message_map/context.rs
new file mode 100644
index 0000000..1a6f893
--- /dev/null
+++ b/crates/translator/src/mapping/reverse_message_map/context.rs
@@ -0,0 +1,94 @@
+// Request-local translation context: sanitized <-> original Anthropic tool
+// name mapping used to round-trip OpenAI tool names through Anthropic.
+
+use crate::openai;
+use std::collections::BTreeMap;
+
+/// Request-local metadata needed to round-trip Anthropic-compatible tool names.
+#[derive(Debug, Clone, Default, PartialEq, Eq)]
+pub struct AnthropicTranslationContext {
+    original_to_sanitized_tool_names: BTreeMap<String, String>,
+    sanitized_to_original_tool_names: BTreeMap<String, String>,
+}
+
+impl AnthropicTranslationContext {
+    pub fn from_openai_request(req: &openai::ChatCompletionRequest) -> Self {
+        let mut ctx = Self::default();
+
+        if let Some(tools) = &req.tools {
+            for tool in tools {
+                ctx.register_tool_name(&tool.function.name);
+            }
+        }
+        if let Some(openai::ChatToolChoice::Named(named)) = &req.tool_choice {
+            ctx.register_tool_name(&named.function.name);
+        }
+        for message in &req.messages {
+            if let Some(tool_calls) = &message.tool_calls {
+                for tool_call in tool_calls {
+                    ctx.register_tool_name(&tool_call.function.name);
+                }
+            }
+        }
+
+        ctx
+    }
+
+    pub fn sanitized_tool_name(&self, name: &str) -> String {
+        self.original_to_sanitized_tool_names
+            .get(name)
+            .cloned()
+            .unwrap_or_else(|| name.to_string())
+    }
+
+    pub fn original_tool_name(&self, name: &str) -> String {
+        self.sanitized_to_original_tool_names
+            .get(name)
+            .cloned()
+            .unwrap_or_else(|| name.to_string())
+    }
+
+    fn register_tool_name(&mut self, original: &str) -> String {
+        if let Some(existing) = self.original_to_sanitized_tool_names.get(original) {
+            return existing.clone();
+        }
+
+        let base = basic_sanitize_anthropic_tool_name(original);
+        let mut candidate = base.clone();
+        let mut suffix_index = 2usize;
+        while self
+            .sanitized_to_original_tool_names
+            .contains_key(&candidate)
+        {
+            let suffix = format!("_{suffix_index}");
+            let keep = 128usize.saturating_sub(suffix.len());
+            candidate = format!("{}{}", &base[..base.len().min(keep)], suffix);
+            suffix_index += 1;
+        }
+
+        self.original_to_sanitized_tool_names
+            .insert(original.to_string(), candidate.clone());
+        self.sanitized_to_original_tool_names
+            .insert(candidate.clone(), original.to_string());
+        candidate
+    }
+}
+
+fn basic_sanitize_anthropic_tool_name(original: &str) -> String {
+    let mut sanitized: String = original
+        .chars()
+        .map(|c| {
+            if c.is_ascii_alphanumeric() || c == '_' || c == '-' {
+                c
+            } else {
+                '_'
+            }
+        })
+        .take(128)
+        .collect();
+
+    if sanitized.is_empty() {
+        sanitized = "tool".to_string();
+    }
+    sanitized
+}
diff --git a/crates/translator/src/mapping/reverse_message_map/mod.rs b/crates/translator/src/mapping/reverse_message_map/mod.rs
index 32d65b6..0cfcedb 100644
--- a/crates/translator/src/mapping/reverse_message_map/mod.rs
+++ b/crates/translator/src/mapping/reverse_message_map/mod.rs
@@ -2,596 +2,24 @@
 //
 // Converts OpenAI-format requests to Anthropic format (for accepting OpenAI
 // input) and Anthropic responses back to OpenAI format.
+//
+// - [`context`]  request-local sanitized <-> original tool-name mapping
+// - [`request`]  OpenAI request -> Anthropic request
+// - [`response`] Anthropic response -> OpenAI response
 
-use crate::anthropic;
-use crate::error::TranslateError;
-use crate::mapping::{tools_map, usage_map, warnings::TranslationWarnings};
-use crate::openai;
-use crate::util;
-use std::collections::BTreeMap;
+mod context;
+mod request;
+mod response;
 
-/// Request-local metadata needed to round-trip Anthropic-compatible tool names.
-#[derive(Debug, Clone, Default, PartialEq, Eq)]
-pub struct AnthropicTranslationContext {
-    original_to_sanitized_tool_names: BTreeMap<String, String>,
-    sanitized_to_original_tool_names: BTreeMap<String, String>,
-}
-
-impl AnthropicTranslationContext {
-    pub fn from_openai_request(req: &openai::ChatCompletionRequest) -> Self {
-        let mut ctx = Self::default();
-
-        if let Some(tools) = &req.tools {
-            for tool in tools {
-                ctx.register_tool_name(&tool.function.name);
-            }
-        }
-        if let Some(openai::ChatToolChoice::Named(named)) = &req.tool_choice {
-            ctx.register_tool_name(&named.function.name);
-        }
-        for message in &req.messages {
-            if let Some(tool_calls) = &message.tool_calls {
-                for tool_call in tool_calls {
-                    ctx.register_tool_name(&tool_call.function.name);
-                }
-            }
-        }
-
-        ctx
-    }
-
-    pub fn sanitized_tool_name(&self, name: &str) -> String {
-        self.original_to_sanitized_tool_names
-            .get(name)
-            .cloned()
-            .unwrap_or_else(|| name.to_string())
-    }
-
-    pub fn original_tool_name(&self, name: &str) -> String {
-        self.sanitized_to_original_tool_names
-            .get(name)
-            .cloned()
-            .unwrap_or_else(|| name.to_string())
-    }
-
-    fn register_tool_name(&mut self, original: &str) -> String {
-        if let Some(existing) = self.original_to_sanitized_tool_names.get(original) {
-            return existing.clone();
-        }
-
-        let base = basic_sanitize_anthropic_tool_name(original);
-        let mut candidate = base.clone();
-        let mut suffix_index = 2usize;
-        while self
-            .sanitized_to_original_tool_names
-            .contains_key(&candidate)
-        {
-            let suffix = format!("_{suffix_index}");
-            let keep = 128usize.saturating_sub(suffix.len());
-            candidate = format!("{}{}", &base[..base.len().min(keep)], suffix);
-            suffix_index += 1;
-        }
-
-        self.original_to_sanitized_tool_names
-            .insert(original.to_string(), candidate.clone());
-        self.sanitized_to_original_tool_names
-            .insert(candidate.clone(), original.to_string());
-        candidate
-    }
-}
-
-fn basic_sanitize_anthropic_tool_name(original: &str) -> String {
-    let mut sanitized: String = original
-        .chars()
-        .map(|c| {
-            if c.is_ascii_alphanumeric() || c == '_' || c == '-' {
-                c
-            } else {
-                '_'
-            }
-        })
-        .take(128)
-        .collect();
-
-    if sanitized.is_empty() {
-        sanitized = "tool".to_string();
-    }
-    sanitized
-}
-
-/// Convert an OpenAI ChatCompletionRequest to an Anthropic MessageCreateRequest.
-///
-/// Returns an error if `max_tokens` and `max_completion_tokens` are both absent
-/// (Anthropic requires `max_tokens`).
-pub fn openai_to_anthropic_request(
-    req: &openai::ChatCompletionRequest,
-    warnings: &mut TranslationWarnings,
-) -> Result<anthropic::MessageCreateRequest, TranslateError> {
-    openai_to_anthropic_request_inner(req, warnings, &AnthropicTranslationContext::default())
-}
-
-/// Convert an OpenAI request and return request-local translation context.
-pub fn openai_to_anthropic_request_with_context(
-    req: &openai::ChatCompletionRequest,
-    warnings: &mut TranslationWarnings,
-) -> Result<(anthropic::MessageCreateRequest, AnthropicTranslationContext), TranslateError> {
-    let context = AnthropicTranslationContext::from_openai_request(req);
-    let req = openai_to_anthropic_request_inner(req, warnings, &context)?;
-    Ok((req, context))
-}
-
-fn openai_to_anthropic_request_inner(
-    req: &openai::ChatCompletionRequest,
-    warnings: &mut TranslationWarnings,
-    context: &AnthropicTranslationContext,
-) -> Result<anthropic::MessageCreateRequest, TranslateError> {
-    // max_tokens is required in Anthropic; reject if absent.
-    // NOT A BUG: Anthropic has no server-side default for max_tokens — the field
-    // is mandatory per the API spec. Injecting a silent default would mask
-    // misconfigured clients. Standard OpenAI SDKs that omit max_tokens are not
-    // supported by the Anthropic API regardless, so rejecting with 400 is correct.
-    let max_tokens = req
-        .max_completion_tokens
-        .or(req.max_tokens)
-        .ok_or_else(|| {
-            TranslateError::MissingField("max_tokens or max_completion_tokens is required".into())
-        })?;
-
-    let mut system: Option<anthropic::System> = None;
-    let mut messages = Vec::new();
-
-    for msg in &req.messages {
-        match msg.role {
-            openai::ChatRole::System | openai::ChatRole::Developer => {
-                // Extract system messages into the Anthropic system field.
-                // Multiple system messages are concatenated.
-                let text = extract_text_content(&msg.content);
-                if !text.is_empty() {
-                    match &mut system {
-                        Some(anthropic::System::Text(existing)) => {
-                            existing.push('\n');
-                            existing.push_str(&text);
-                        }
-                        None => {
-                            system = Some(anthropic::System::Text(text));
-                        }
-                        _ => {}
-                    }
-                }
-            }
-            openai::ChatRole::User => {
-                let content = convert_openai_content_to_anthropic(&msg.content);
-                messages.push(anthropic::InputMessage {
-                    role: anthropic::Role::User,
-                    content,
-                });
-            }
-            openai::ChatRole::Assistant => {
-                let content = convert_assistant_to_anthropic(msg, context, warnings);
-                messages.push(anthropic::InputMessage {
-                    role: anthropic::Role::Assistant,
-                    content,
-                });
-            }
-            openai::ChatRole::Tool => {
-                // Tool role messages become Anthropic tool_result blocks
-                // on a user message (Anthropic requires tool results in user turn)
-                let text = extract_text_content(&msg.content);
-                let tool_use_id = msg.tool_call_id.clone().unwrap_or_default();
-                let content_block = anthropic::ContentBlock::ToolResult {
-                    tool_use_id,
-                    content: if text.is_empty() {
-                        None
-                    } else {
-                        Some(anthropic::ToolResultContent::Text(text))
-                    },
-                    is_error: None,
-                };
-                messages.push(anthropic::InputMessage {
-                    role: anthropic::Role::User,
-                    content: anthropic::Content::Blocks(vec![content_block]),
-                });
-            }
-            openai::ChatRole::Function => {
-                // Deprecated function role: treat as tool
-                let text = extract_text_content(&msg.content);
-                let tool_use_id = msg.name.clone().unwrap_or_default();
-                let content_block = anthropic::ContentBlock::ToolResult {
-                    tool_use_id,
-                    content: if text.is_empty() {
-                        None
-                    } else {
-                        Some(anthropic::ToolResultContent::Text(text))
-                    },
-                    is_error: None,
-                };
-                messages.push(anthropic::InputMessage {
-                    role: anthropic::Role::User,
-                    content: anthropic::Content::Blocks(vec![content_block]),
-                });
-            }
-        }
-    }
-
-    let tools = req.tools.as_ref().map(|t| {
-        let mut tools = tools_map::openai_tools_to_anthropic(t);
-        for tool in &mut tools {
-            tool.name = context.sanitized_tool_name(&tool.name);
-        }
-        tools
-    });
-
-    let mut tool_choice = req
-        .tool_choice
-        .as_ref()
-        .map(tools_map::openai_tool_choice_to_anthropic);
-    if let Some(anthropic::ToolChoice::Tool { name }) = &mut tool_choice {
-        *name = context.sanitized_tool_name(name);
-    }
-
-    let stop_sequences = req.stop.as_ref().map(|s| match s {
-        openai::Stop::Single(s) => vec![s.clone()],
-        openai::Stop::Multiple(v) => v.clone(),
-    });
-
-    let metadata = req.user.as_ref().map(|u| anthropic::Metadata {
-        user_id: Some(u.clone()),
-    });
-
-    if req.presence_penalty.is_some() {
-        warnings.add("presence_penalty");
-    }
-    if req.frequency_penalty.is_some() {
-        warnings.add("frequency_penalty");
-    }
-    if req.response_format.is_some() {
-        warnings.add("response_format");
-    }
-    if req.extra.contains_key("logprobs") {
-        warnings.add("logprobs");
-    }
-    if req.extra.contains_key("n") {
-        warnings.add("n");
-    }
-    if req.extra.contains_key("seed") {
-        warnings.add("seed");
-    }
-    if req.stream_options.is_some() {
-        warnings.add("stream_options");
-    }
-
-    let tool_choice = match (tool_choice, req.parallel_tool_calls) {
-        (Some(anthropic::ToolChoice::Auto { .. }), Some(false)) => {
-            Some(anthropic::ToolChoice::Auto {
-                disable_parallel_tool_use: Some(true),
-            })
-        }
-        (Some(anthropic::ToolChoice::Any { .. }), Some(false)) => {
-            Some(anthropic::ToolChoice::Any {
-                disable_parallel_tool_use: Some(true),
-            })
-        }
-        (tc, _) => tc,
-    };
-
-    Ok(anthropic::MessageCreateRequest {
-        model: req.model.clone(),
-        max_tokens,
-        messages,
-        system,
-        temperature: req.temperature,
-        top_p: req.top_p,
-        top_k: None,
-        stop_sequences,
-        tools,
-        tool_choice,
-        metadata,
-        thinking: None,
-        stream: req.stream,
-        extra: serde_json::Map::new(),
-    })
-}
-
-/// Convert an Anthropic MessageResponse to an OpenAI ChatCompletionResponse.
-pub fn anthropic_to_openai_response(
-    resp: &anthropic::MessageResponse,
-    model: &str,
-) -> openai::ChatCompletionResponse {
-    anthropic_to_openai_response_with_context(resp, model, &AnthropicTranslationContext::default())
-}
-
-/// Convert an Anthropic MessageResponse using request-local translation context.
-pub fn anthropic_to_openai_response_with_context(
-    resp: &anthropic::MessageResponse,
-    model: &str,
-    context: &AnthropicTranslationContext,
-) -> openai::ChatCompletionResponse {
-    let mut text_parts = Vec::new();
-    let mut tool_calls = Vec::new();
-    let mut reasoning_content: Option<String> = None;
-    let mut thinking_blocks = Vec::new();
-
-    for block in &resp.content {
-        match block {
-            anthropic::ContentBlock::Text { text } => {
-                text_parts.push(text.clone());
-            }
-            anthropic::ContentBlock::ToolUse { id, name, input }
-            | anthropic::ContentBlock::ServerToolUse { id, name, input } => {
-                tool_calls.push(openai::ToolCall {
-                    id: id.clone(),
-                    call_type: "function".to_string(),
-                    function: openai::FunctionCall {
-                        name: context.original_tool_name(name),
-                        arguments: util::json::value_to_json_string(input),
-                    },
-                });
-            }
-            anthropic::ContentBlock::Thinking {
-                thinking,
-                signature,
-            } => {
-                thinking_blocks.push(openai::ThinkingBlock::Thinking {
-                    thinking: thinking.clone(),
-                    signature: signature.clone(),
-                });
-                match &mut reasoning_content {
-                    Some(existing) => {
-                        existing.push_str(thinking);
-                    }
-                    None => {
-                        reasoning_content = Some(thinking.clone());
-                    }
-                }
-            }
-            anthropic::ContentBlock::RedactedThinking { data } => {
-                thinking_blocks
-                    .push(openai::ThinkingBlock::RedactedThinking { data: data.clone() });
-            }
-            _ => {}
-        }
-    }
-
-    let content = if text_parts.is_empty() {
-        None
-    } else {
-        Some(openai::ChatContent::Text(text_parts.join("")))
-    };
-
-    let finish_reason = resp
-        .stop_reason
-        .as_ref()
-        .map(anthropic_stop_reason_to_openai);
-
-    let usage = usage_map::anthropic_to_openai_usage(&resp.usage);
-
-    let id = format!("chatcmpl-{}", util::ids::generate_uuid());
-
-    openai::ChatCompletionResponse {
-        id,
-        object: "chat.completion".to_string(),
-        model: model.to_string(),
-        choices: vec![openai::Choice {
-            index: 0,
-            message: openai::ChatMessage {
-                role: openai::ChatRole::Assistant,
-                content,
-                name: None,
-                tool_calls: if tool_calls.is_empty() {
-                    None
-                } else {
-                    Some(tool_calls)
-                },
-                tool_call_id: None,
-                refusal: None,
-                reasoning_content,
-                thinking_blocks: if thinking_blocks.is_empty() {
-                    None
-                } else {
-                    Some(thinking_blocks)
-                },
-            },
-            finish_reason,
-            logprobs: None,
-        }],
-        usage: Some(usage),
-        created: resp.created,
-        system_fingerprint: None,
-        service_tier: None,
-    }
-}
-
-/// Map Anthropic stop_reason to OpenAI finish_reason.
-pub fn anthropic_stop_reason_to_openai(
-    stop_reason: &anthropic::StopReason,
-) -> openai::FinishReason {
-    match stop_reason {
-        anthropic::StopReason::EndTurn => openai::FinishReason::Stop,
-        anthropic::StopReason::MaxTokens => openai::FinishReason::Length,
-        anthropic::StopReason::ToolUse => openai::FinishReason::ToolCalls,
-        anthropic::StopReason::StopSequence => openai::FinishReason::Stop,
-        anthropic::StopReason::PauseTurn => openai::FinishReason::Stop,
-        anthropic::StopReason::Refusal => openai::FinishReason::ContentFilter,
-        anthropic::StopReason::Unknown => openai::FinishReason::Unknown,
-    }
-}
-
-/// Compute warnings for an OpenAI request about features that will be dropped.
-pub fn compute_openai_request_warnings(req: &openai::ChatCompletionRequest) -> TranslationWarnings {
-    let mut w = TranslationWarnings::default();
-    openai_to_anthropic_request(req, &mut w).ok();
-    w
-}
-
-// --- Helper functions ---
-
-fn extract_text_content(content: &Option<openai::ChatContent>) -> String {
-    match content {
-        Some(openai::ChatContent::Text(s)) => s.clone(),
-        Some(openai::ChatContent::Parts(parts)) => {
-            let mut had_non_text = false;
-            let text = parts
-                .iter()
-                .filter_map(|p| match p {
-                    openai::ChatContentPart::Text { text } => Some(text.as_str()),
-                    _ => {
-                        had_non_text = true;
-                        None
-                    }
-                })
-                .collect::<Vec<_>>()
-                .join("");
-            if had_non_text {
-                tracing::warn!(
-                    "message contains non-text content parts (image/file); \
-                     only text parts are extracted as plain text"
-                );
-            }
-            text
-        }
-        None => String::new(),
-    }
-}
-
-fn convert_openai_content_to_anthropic(
-    content: &Option<openai::ChatContent>,
-) -> anthropic::Content {
-    match content {
-        Some(openai::ChatContent::Text(s)) => anthropic::Content::Text(s.clone()),
-        Some(openai::ChatContent::Parts(parts)) => {
-            let mut blocks = Vec::new();
-            for part in parts {
-                match part {
-                    openai::ChatContentPart::Text { text } => {
-                        blocks.push(anthropic::ContentBlock::Text { text: text.clone() });
-                    }
-                    openai::ChatContentPart::ImageUrl { image_url } => {
-                        // Parse data URIs back to base64 + media_type
-                        let source = url_to_image_source(&image_url.url);
-                        blocks.push(anthropic::ContentBlock::Image { source });
-                    }
-                    // InputAudio and File have no Anthropic equivalent; drop them
-                    _ => {}
-                }
-            }
-            if blocks.is_empty() {
-                anthropic::Content::Text(String::new())
-            } else {
-                anthropic::Content::Blocks(blocks)
-            }
-        }
-        None => anthropic::Content::Text(String::new()),
-    }
-}
-
-fn convert_assistant_to_anthropic(
-    msg: &openai::ChatMessage,
-    context: &AnthropicTranslationContext,
-    warnings: &mut TranslationWarnings,
-) -> anthropic::Content {
-    let mut blocks = Vec::new();
-
-    // Prefer exact LiteLLM/Anthropic blocks because they preserve signatures and
-    // redacted state needed for tool-result continuations. Only treat them as
-    // authoritative when they yield at least one block; an empty or all-`Unknown`
-    // array must not suppress the reasoning_content fallback.
-    let mut pushed_thinking = false;
-    if let Some(ref thinking_blocks) = msg.thinking_blocks {
-        for block in thinking_blocks {
-            if let Some(block) = crate::mapping::openai_thinking_block_to_anthropic(block) {
-                blocks.push(block);
-                pushed_thinking = true;
-            }
-        }
-    }
-    if !pushed_thinking {
-        if msg
-            .tool_calls
-            .as_ref()
-            .is_some_and(|calls| !calls.is_empty())
-        {
-            // Text-only reasoning_content cannot carry Anthropic signatures. Do not
-            // synthesize unsigned thinking next to tool_use blocks; record that the
-            // reasoning text itself was dropped rather than losing it silently.
-            if msg
-                .reasoning_content
-                .as_ref()
-                .is_some_and(|r| !r.is_empty())
-            {
-                warnings.add("reasoning_content_dropped_with_tool_calls");
-            }
-        } else if let Some(ref reasoning) = msg.reasoning_content {
-            if !reasoning.is_empty() {
-                blocks.push(anthropic::ContentBlock::Thinking {
-                    thinking: reasoning.clone(),
-                    signature: None,
-                });
-            }
-        }
-    }
-
-    // Map text content
-    match &msg.content {
-        Some(openai::ChatContent::Text(text)) if !text.is_empty() => {
-            blocks.push(anthropic::ContentBlock::Text { text: text.clone() });
-        }
-        Some(openai::ChatContent::Text(_)) => {}
-        Some(openai::ChatContent::Parts(parts)) => {
-            for part in parts {
-                if let openai::ChatContentPart::Text { text } = part {
-                    blocks.push(anthropic::ContentBlock::Text { text: text.clone() });
-                }
-            }
-        }
-        None => {}
-    }
-
-    // Map tool calls to tool_use blocks
-    if let Some(ref tool_calls) = msg.tool_calls {
-        for tc in tool_calls {
-            blocks.push(anthropic::ContentBlock::ToolUse {
-                id: tc.id.clone(),
-                name: context.sanitized_tool_name(&tc.function.name),
-                input: util::json::parse_tool_arguments(&tc.function.arguments),
-            });
-        }
-    }
-
-    if blocks.is_empty() {
-        anthropic::Content::Text(String::new())
-    } else if blocks.len() == 1 {
-        if let anthropic::ContentBlock::Text { ref text } = blocks[0] {
-            return anthropic::Content::Text(text.clone());
-        }
-        anthropic::Content::Blocks(blocks)
-    } else {
-        anthropic::Content::Blocks(blocks)
-    }
-}
-
-/// Parse a URL string into an Anthropic ImageSource.
-/// Handles both data URIs (data:image/png;base64,...) and regular URLs.
-fn url_to_image_source(url: &str) -> anthropic::ImageSource {
-    if let Some(rest) = url.strip_prefix("data:") {
-        // Parse data URI: data:media_type;base64,data
-        if let Some((meta, data)) = rest.split_once(',') {
-            let media_type = meta.strip_suffix(";base64").unwrap_or(meta);
-            return anthropic::ImageSource {
-                source_type: "base64".to_string(),
-                media_type: Some(media_type.to_string()),
-                data: Some(data.to_string()),
-                url: None,
-            };
-        }
-    }
-    // Regular URL
-    anthropic::ImageSource {
-        source_type: "url".to_string(),
-        media_type: None,
-        data: None,
-        url: Some(url.to_string()),
-    }
-}
+pub use context::AnthropicTranslationContext;
+pub use request::{
+    compute_openai_request_warnings, openai_to_anthropic_request,
+    openai_to_anthropic_request_with_context,
+};
+pub use response::{
+    anthropic_stop_reason_to_openai, anthropic_to_openai_response,
+    anthropic_to_openai_response_with_context,
+};
 
 #[cfg(test)]
 mod tests;
diff --git a/crates/translator/src/mapping/reverse_message_map/request.rs b/crates/translator/src/mapping/reverse_message_map/request.rs
new file mode 100644
index 0000000..1b2c5f6
--- /dev/null
+++ b/crates/translator/src/mapping/reverse_message_map/request.rs
@@ -0,0 +1,378 @@
+// OpenAI Chat Completions request -> Anthropic Messages request.
+
+use super::context::AnthropicTranslationContext;
+use crate::anthropic;
+use crate::error::TranslateError;
+use crate::mapping::{tools_map, warnings::TranslationWarnings};
+use crate::openai;
+use crate::util;
+
+/// Convert an OpenAI ChatCompletionRequest to an Anthropic MessageCreateRequest.
+///
+/// Returns an error if `max_tokens` and `max_completion_tokens` are both absent
+/// (Anthropic requires `max_tokens`).
+pub fn openai_to_anthropic_request(
+    req: &openai::ChatCompletionRequest,
+    warnings: &mut TranslationWarnings,
+) -> Result<anthropic::MessageCreateRequest, TranslateError> {
+    openai_to_anthropic_request_inner(req, warnings, &AnthropicTranslationContext::default())
+}
+
+/// Convert an OpenAI request and return request-local translation context.
+pub fn openai_to_anthropic_request_with_context(
+    req: &openai::ChatCompletionRequest,
+    warnings: &mut TranslationWarnings,
+) -> Result<(anthropic::MessageCreateRequest, AnthropicTranslationContext), TranslateError> {
+    let context = AnthropicTranslationContext::from_openai_request(req);
+    let req = openai_to_anthropic_request_inner(req, warnings, &context)?;
+    Ok((req, context))
+}
+
+fn openai_to_anthropic_request_inner(
+    req: &openai::ChatCompletionRequest,
+    warnings: &mut TranslationWarnings,
+    context: &AnthropicTranslationContext,
+) -> Result<anthropic::MessageCreateRequest, TranslateError> {
+    // max_tokens is required in Anthropic; reject if absent.
+    // NOT A BUG: Anthropic has no server-side default for max_tokens — the field
+    // is mandatory per the API spec. Injecting a silent default would mask
+    // misconfigured clients. Standard OpenAI SDKs that omit max_tokens are not
+    // supported by the Anthropic API regardless, so rejecting with 400 is correct.
+    let max_tokens = req
+        .max_completion_tokens
+        .or(req.max_tokens)
+        .ok_or_else(|| {
+            TranslateError::MissingField("max_tokens or max_completion_tokens is required".into())
+        })?;
+
+    let mut system: Option<anthropic::System> = None;
+    let mut messages = Vec::new();
+
+    for msg in &req.messages {
+        match msg.role {
+            openai::ChatRole::System | openai::ChatRole::Developer => {
+                // Extract system messages into the Anthropic system field.
+                // Multiple system messages are concatenated.
+                let text = extract_text_content(&msg.content);
+                if !text.is_empty() {
+                    match &mut system {
+                        Some(anthropic::System::Text(existing)) => {
+                            existing.push('\n');
+                            existing.push_str(&text);
+                        }
+                        None => {
+                            system = Some(anthropic::System::Text(text));
+                        }
+                        _ => {}
+                    }
+                }
+            }
+            openai::ChatRole::User => {
+                let content = convert_openai_content_to_anthropic(&msg.content);
+                messages.push(anthropic::InputMessage {
+                    role: anthropic::Role::User,
+                    content,
+                });
+            }
+            openai::ChatRole::Assistant => {
+                let content = convert_assistant_to_anthropic(msg, context, warnings);
+                messages.push(anthropic::InputMessage {
+                    role: anthropic::Role::Assistant,
+                    content,
+                });
+            }
+            openai::ChatRole::Tool => {
+                // Tool role messages become Anthropic tool_result blocks
+                // on a user message (Anthropic requires tool results in user turn)
+                let text = extract_text_content(&msg.content);
+                let tool_use_id = msg.tool_call_id.clone().unwrap_or_default();
+                let content_block = anthropic::ContentBlock::ToolResult {
+                    tool_use_id,
+                    content: if text.is_empty() {
+                        None
+                    } else {
+                        Some(anthropic::ToolResultContent::Text(text))
+                    },
+                    is_error: None,
+                };
+                messages.push(anthropic::InputMessage {
+                    role: anthropic::Role::User,
+                    content: anthropic::Content::Blocks(vec![content_block]),
+                });
+            }
+            openai::ChatRole::Function => {
+                // Deprecated function role: treat as tool
+                let text = extract_text_content(&msg.content);
+                let tool_use_id = msg.name.clone().unwrap_or_default();
+                let content_block = anthropic::ContentBlock::ToolResult {
+                    tool_use_id,
+                    content: if text.is_empty() {
+                        None
+                    } else {
+                        Some(anthropic::ToolResultContent::Text(text))
+                    },
+                    is_error: None,
+                };
+                messages.push(anthropic::InputMessage {
+                    role: anthropic::Role::User,
+                    content: anthropic::Content::Blocks(vec![content_block]),
+                });
+            }
+        }
+    }
+
+    let tools = req.tools.as_ref().map(|t| {
+        let mut tools = tools_map::openai_tools_to_anthropic(t);
+        for tool in &mut tools {
+            tool.name = context.sanitized_tool_name(&tool.name);
+        }
+        tools
+    });
+
+    let mut tool_choice = req
+        .tool_choice
+        .as_ref()
+        .map(tools_map::openai_tool_choice_to_anthropic);
+    if let Some(anthropic::ToolChoice::Tool { name }) = &mut tool_choice {
+        *name = context.sanitized_tool_name(name);
+    }
+
+    let stop_sequences = req.stop.as_ref().map(|s| match s {
+        openai::Stop::Single(s) => vec![s.clone()],
+        openai::Stop::Multiple(v) => v.clone(),
+    });
+
+    let metadata = req.user.as_ref().map(|u| anthropic::Metadata {
+        user_id: Some(u.clone()),
+    });
+
+    if req.presence_penalty.is_some() {
+        warnings.add("presence_penalty");
+    }
+    if req.frequency_penalty.is_some() {
+        warnings.add("frequency_penalty");
+    }
+    if req.response_format.is_some() {
+        warnings.add("response_format");
+    }
+    if req.extra.contains_key("logprobs") {
+        warnings.add("logprobs");
+    }
+    if req.extra.contains_key("n") {
+        warnings.add("n");
+    }
+    if req.extra.contains_key("seed") {
+        warnings.add("seed");
+    }
+    if req.stream_options.is_some() {
+        warnings.add("stream_options");
+    }
+
+    let tool_choice = match (tool_choice, req.parallel_tool_calls) {
+        (Some(anthropic::ToolChoice::Auto { .. }), Some(false)) => {
+            Some(anthropic::ToolChoice::Auto {
+                disable_parallel_tool_use: Some(true),
+            })
+        }
+        (Some(anthropic::ToolChoice::Any { .. }), Some(false)) => {
+            Some(anthropic::ToolChoice::Any {
+                disable_parallel_tool_use: Some(true),
+            })
+        }
+        (tc, _) => tc,
+    };
+
+    Ok(anthropic::MessageCreateRequest {
+        model: req.model.clone(),
+        max_tokens,
+        messages,
+        system,
+        temperature: req.temperature,
+        top_p: req.top_p,
+        top_k: None,
+        stop_sequences,
+        tools,
+        tool_choice,
+        metadata,
+        thinking: None,
+        stream: req.stream,
+        extra: serde_json::Map::new(),
+    })
+}
+
+/// Compute warnings for an OpenAI request about features that will be dropped.
+pub fn compute_openai_request_warnings(req: &openai::ChatCompletionRequest) -> TranslationWarnings {
+    let mut w = TranslationWarnings::default();
+    openai_to_anthropic_request(req, &mut w).ok();
+    w
+}
+
+// --- Helper functions ---
+
+fn extract_text_content(content: &Option<openai::ChatContent>) -> String {
+    match content {
+        Some(openai::ChatContent::Text(s)) => s.clone(),
+        Some(openai::ChatContent::Parts(parts)) => {
+            let mut had_non_text = false;
+            let text = parts
+                .iter()
+                .filter_map(|p| match p {
+                    openai::ChatContentPart::Text { text } => Some(text.as_str()),
+                    _ => {
+                        had_non_text = true;
+                        None
+                    }
+                })
+                .collect::<Vec<_>>()
+                .join("");
+            if had_non_text {
+                tracing::warn!(
+                    "message contains non-text content parts (image/file); \
+                     only text parts are extracted as plain text"
+                );
+            }
+            text
+        }
+        None => String::new(),
+    }
+}
+
+fn convert_openai_content_to_anthropic(
+    content: &Option<openai::ChatContent>,
+) -> anthropic::Content {
+    match content {
+        Some(openai::ChatContent::Text(s)) => anthropic::Content::Text(s.clone()),
+        Some(openai::ChatContent::Parts(parts)) => {
+            let mut blocks = Vec::new();
+            for part in parts {
+                match part {
+                    openai::ChatContentPart::Text { text } => {
+                        blocks.push(anthropic::ContentBlock::Text { text: text.clone() });
+                    }
+                    openai::ChatContentPart::ImageUrl { image_url } => {
+                        // Parse data URIs back to base64 + media_type
+                        let source = url_to_image_source(&image_url.url);
+                        blocks.push(anthropic::ContentBlock::Image { source });
+                    }
+                    // InputAudio and File have no Anthropic equivalent; drop them
+                    _ => {}
+                }
+            }
+            if blocks.is_empty() {
+                anthropic::Content::Text(String::new())
+            } else {
+                anthropic::Content::Blocks(blocks)
+            }
+        }
+        None => anthropic::Content::Text(String::new()),
+    }
+}
+
+fn convert_assistant_to_anthropic(
+    msg: &openai::ChatMessage,
+    context: &AnthropicTranslationContext,
+    warnings: &mut TranslationWarnings,
+) -> anthropic::Content {
+    let mut blocks = Vec::new();
+
+    // Prefer exact LiteLLM/Anthropic blocks because they preserve signatures and
+    // redacted state needed for tool-result continuations. Only treat them as
+    // authoritative when they yield at least one block; an empty or all-`Unknown`
+    // array must not suppress the reasoning_content fallback.
+    let mut pushed_thinking = false;
+    if let Some(ref thinking_blocks) = msg.thinking_blocks {
+        for block in thinking_blocks {
+            if let Some(block) = crate::mapping::openai_thinking_block_to_anthropic(block) {
+                blocks.push(block);
+                pushed_thinking = true;
+            }
+        }
+    }
+    if !pushed_thinking {
+        if msg
+            .tool_calls
+            .as_ref()
+            .is_some_and(|calls| !calls.is_empty())
+        {
+            // Text-only reasoning_content cannot carry Anthropic signatures. Do not
+            // synthesize unsigned thinking next to tool_use blocks; record that the
+            // reasoning text itself was dropped rather than losing it silently.
+            if msg
+                .reasoning_content
+                .as_ref()
+                .is_some_and(|r| !r.is_empty())
+            {
+                warnings.add("reasoning_content_dropped_with_tool_calls");
+            }
+        } else if let Some(ref reasoning) = msg.reasoning_content {
+            if !reasoning.is_empty() {
+                blocks.push(anthropic::ContentBlock::Thinking {
+                    thinking: reasoning.clone(),
+                    signature: None,
+                });
+            }
+        }
+    }
+
+    // Map text content
+    match &msg.content {
+        Some(openai::ChatContent::Text(text)) if !text.is_empty() => {
+            blocks.push(anthropic::ContentBlock::Text { text: text.clone() });
+        }
+        Some(openai::ChatContent::Text(_)) => {}
+        Some(openai::ChatContent::Parts(parts)) => {
+            for part in parts {
+                if let openai::ChatContentPart::Text { text } = part {
+                    blocks.push(anthropic::ContentBlock::Text { text: text.clone() });
+                }
+            }
+        }
+        None => {}
+    }
+
+    // Map tool calls to tool_use blocks
+    if let Some(ref tool_calls) = msg.tool_calls {
+        for tc in tool_calls {
+            blocks.push(anthropic::ContentBlock::ToolUse {
+                id: tc.id.clone(),
+                name: context.sanitized_tool_name(&tc.function.name),
+                input: util::json::parse_tool_arguments(&tc.function.arguments),
+            });
+        }
+    }
+
+    if blocks.is_empty() {
+        anthropic::Content::Text(String::new())
+    } else if blocks.len() == 1 {
+        if let anthropic::ContentBlock::Text { ref text } = blocks[0] {
+            return anthropic::Content::Text(text.clone());
+        }
+        anthropic::Content::Blocks(blocks)
+    } else {
+        anthropic::Content::Blocks(blocks)
+    }
+}
+
+/// Parse a URL string into an Anthropic ImageSource.
+/// Handles both data URIs (data:image/png;base64,...) and regular URLs.
+pub(super) fn url_to_image_source(url: &str) -> anthropic::ImageSource {
+    if let Some(rest) = url.strip_prefix("data:") {
+        // Parse data URI: data:media_type;base64,data
+        if let Some((meta, data)) = rest.split_once(',') {
+            let media_type = meta.strip_suffix(";base64").unwrap_or(meta);
+            return anthropic::ImageSource {
+                source_type: "base64".to_string(),
+                media_type: Some(media_type.to_string()),
+                data: Some(data.to_string()),
+                url: None,
+            };
+        }
+    }
+    // Regular URL
+    anthropic::ImageSource {
+        source_type: "url".to_string(),
+        media_type: None,
+        data: None,
+        url: Some(url.to_string()),
+    }
+}
diff --git a/crates/translator/src/mapping/reverse_message_map/response.rs b/crates/translator/src/mapping/reverse_message_map/response.rs
new file mode 100644
index 0000000..a2bb110
--- /dev/null
+++ b/crates/translator/src/mapping/reverse_message_map/response.rs
@@ -0,0 +1,131 @@
+// Anthropic Messages response -> OpenAI Chat Completions response.
+
+use super::context::AnthropicTranslationContext;
+use crate::anthropic;
+use crate::mapping::usage_map;
+use crate::openai;
+use crate::util;
+
+/// Convert an Anthropic MessageResponse to an OpenAI ChatCompletionResponse.
+pub fn anthropic_to_openai_response(
+    resp: &anthropic::MessageResponse,
+    model: &str,
+) -> openai::ChatCompletionResponse {
+    anthropic_to_openai_response_with_context(resp, model, &AnthropicTranslationContext::default())
+}
+
+/// Convert an Anthropic MessageResponse using request-local translation context.
+pub fn anthropic_to_openai_response_with_context(
+    resp: &anthropic::MessageResponse,
+    model: &str,
+    context: &AnthropicTranslationContext,
+) -> openai::ChatCompletionResponse {
+    let mut text_parts = Vec::new();
+    let mut tool_calls = Vec::new();
+    let mut reasoning_content: Option<String> = None;
+    let mut thinking_blocks = Vec::new();
+
+    for block in &resp.content {
+        match block {
+            anthropic::ContentBlock::Text { text } => {
+                text_parts.push(text.clone());
+            }
+            anthropic::ContentBlock::ToolUse { id, name, input }
+            | anthropic::ContentBlock::ServerToolUse { id, name, input } => {
+                tool_calls.push(openai::ToolCall {
+                    id: id.clone(),
+                    call_type: "function".to_string(),
+                    function: openai::FunctionCall {
+                        name: context.original_tool_name(name),
+                        arguments: util::json::value_to_json_string(input),
+                    },
+                });
+            }
+            anthropic::ContentBlock::Thinking {
+                thinking,
+                signature,
+            } => {
+                thinking_blocks.push(openai::ThinkingBlock::Thinking {
+                    thinking: thinking.clone(),
+                    signature: signature.clone(),
+                });
+                match &mut reasoning_content {
+                    Some(existing) => {
+                        existing.push_str(thinking);
+                    }
+                    None => {
+                        reasoning_content = Some(thinking.clone());
+                    }
+                }
+            }
+            anthropic::ContentBlock::RedactedThinking { data } => {
+                thinking_blocks
+                    .push(openai::ThinkingBlock::RedactedThinking { data: data.clone() });
+            }
+            _ => {}
+        }
+    }
+
+    let content = if text_parts.is_empty() {
+        None
+    } else {
+        Some(openai::ChatContent::Text(text_parts.join("")))
+    };
+
+    let finish_reason = resp
+        .stop_reason
+        .as_ref()
+        .map(anthropic_stop_reason_to_openai);
+
+    let usage = usage_map::anthropic_to_openai_usage(&resp.usage);
+
+    let id = format!("chatcmpl-{}", util::ids::generate_uuid());
+
+    openai::ChatCompletionResponse {
+        id,
+        object: "chat.completion".to_string(),
+        model: model.to_string(),
+        choices: vec![openai::Choice {
+            index: 0,
+            message: openai::ChatMessage {
+                role: openai::ChatRole::Assistant,
+                content,
+                name: None,
+                tool_calls: if tool_calls.is_empty() {
+                    None
+                } else {
+                    Some(tool_calls)
+                },
+                tool_call_id: None,
+                refusal: None,
+                reasoning_content,
+                thinking_blocks: if thinking_blocks.is_empty() {
+                    None
+                } else {
+                    Some(thinking_blocks)
+                },
+            },
+            finish_reason,
+            logprobs: None,
+        }],
+        usage: Some(usage),
+        created: resp.created,
+        system_fingerprint: None,
+        service_tier: None,
+    }
+}
+
+/// Map Anthropic stop_reason to OpenAI finish_reason.
+pub fn anthropic_stop_reason_to_openai(
+    stop_reason: &anthropic::StopReason,
+) -> openai::FinishReason {
+    match stop_reason {
+        anthropic::StopReason::EndTurn => openai::FinishReason::Stop,
+        anthropic::StopReason::MaxTokens => openai::FinishReason::Length,
+        anthropic::StopReason::ToolUse => openai::FinishReason::ToolCalls,
+        anthropic::StopReason::StopSequence => openai::FinishReason::Stop,
+        anthropic::StopReason::PauseTurn => openai::FinishReason::Stop,
+        anthropic::StopReason::Refusal => openai::FinishReason::ContentFilter,
+        anthropic::StopReason::Unknown => openai::FinishReason::Unknown,
+    }
+}
diff --git a/crates/translator/src/mapping/reverse_message_map/tests.rs b/crates/translator/src/mapping/reverse_message_map/tests.rs
index 2ec7c90..b4964a4 100644
--- a/crates/translator/src/mapping/reverse_message_map/tests.rs
+++ b/crates/translator/src/mapping/reverse_message_map/tests.rs
@@ -1,4 +1,7 @@
+use super::request::url_to_image_source;
 use super::*;
+use crate::mapping::warnings::TranslationWarnings;
+use crate::{anthropic, openai};
 use serde_json::json;
 
 fn make_basic_request() -> openai::ChatCompletionRequest {