Merge branch 'agents-home-plus-menu' into agents-run-on-behalf-of

This commit is contained in:
hugocasa
2026-09-30 13:23:18 +02:00
47 changed files with 1902 additions and 934 deletions
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@@ -0,0 +1,171 @@
name: AI Evals (scheduled)
# Full ai_evals suites on current models, posted to the AI evals dashboard in
# the windmill-prod workspace (f/ai/ai_evals_dashboard) so quality is tracked
# over time. Weekly, since one pass of every suite at --runs 3 costs about 50M
# tokens per model: every suite runs on MODELS, and global (the mode users get)
# also runs on GLOBAL_EXTRA_MODELS, one flagship per other provider. Run it by
# hand to measure a branch against main.
on:
schedule:
- cron: "0 3 * * 1"
workflow_dispatch:
inputs:
modes:
description: "Space-separated modes"
default: "global flow app script cli"
models:
description: "Space-separated model aliases (bun run cli -- models)"
default: "sonnet-5.5"
global_extra_models:
description: "Extra model aliases for global mode only"
default: "gpt-6-astra gemini-3.8-flash"
runs:
description: "Runs per case"
default: "3"
reasoning:
description: "Reasoning effort for frontend modes (empty: the product default)"
default: ""
concurrency:
group: ai-evals-scheduled-${{ github.ref }}
env:
MODELS: ${{ inputs.models || 'sonnet-5.5' }}
GLOBAL_EXTRA_MODELS: ${{ inputs.global_extra_models || 'gpt-6-astra gemini-3.8-flash' }}
RUNS: ${{ inputs.runs || '3' }}
REASONING: ${{ inputs.reasoning }}
INGEST_URL: https://app.windmill.dev/api/r/f/ai/ingest_ai_eval_run
jobs:
setup:
runs-on: ubuntu-latest
outputs:
modes: ${{ steps.modes.outputs.modes }}
steps:
- id: modes
env:
MODES: ${{ inputs.modes || 'global flow app script cli' }}
run: |
echo "modes=$(jq -cn --arg m "$MODES" '$m | split(" ")
| map(select(IN("global", "flow", "app", "script", "cli")))')" >> "$GITHUB_OUTPUT"
evals:
needs: setup
runs-on: ubicloud-standard-16
timeout-minutes: 330
strategy:
fail-fast: false
matrix:
mode: ${{ fromJSON(needs.setup.outputs.modes) }}
services:
postgres:
image: postgres:16
ports:
- 5432:5432
env:
POSTGRES_DB: windmill
POSTGRES_PASSWORD: changeme
options: >-
--health-cmd pg_isready --health-interval 10s --health-timeout 5s
--health-retries 5
steps:
- uses: actions/checkout@v4
- uses: actions-rust-lang/setup-rust-toolchain@v1
with:
cache-workspaces: backend
toolchain: 1.97.0
- uses: oven-sh/setup-bun@v2
with:
bun-version: 1.4.0
- uses: actions/setup-node@v7
with:
node-version: "24"
- name: Build Windmill
working-directory: ./backend
env:
SQLX_OFFLINE: true
CARGO_BUILD_JOBS: 12
RUSTFLAGS: ""
run: cargo build --features quickjs
- name: Start Windmill
working-directory: ./backend
env:
DATABASE_URL: postgres://postgres:changeme@localhost:5432/windmill
RUST_LOG: info
run: |
mkdir -p ../ai_evals/logs
./target/debug/windmill > ../ai_evals/logs/windmill.log 2>&1 &
for i in $(seq 1 60); do
curl -sf http://localhost:8000/api/version > /dev/null 2>&1 && break
sleep 2
done
curl -sf http://localhost:8000/api/version > /dev/null || { tail -50 ../ai_evals/logs/windmill.log; exit 1; }
- name: Install frontend deps + generate client
working-directory: ./frontend
run: |
npm ci
npm run generate-backend-client
- name: Install CLI deps + generate CLI client
working-directory: ./cli
run: bun install && ./gen_wm_client.sh && ./windmill-utils-internal/gen_wm_client.sh
- name: Run ${{ matrix.mode }} evals
working-directory: ./ai_evals
env:
MODE: ${{ matrix.mode }}
WMILL_AI_EVAL_BACKEND_URL: http://localhost:8000
WMILL_AI_EVAL_BACKEND_WORKSPACE: integration-tests
ANTHROPIC_API_KEY: ${{ secrets.ANTHROPIC_API_KEY }}
OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
GEMINI_API_KEY: ${{ secrets.GOOGLE_API_KEY }}
DEEPSEEK_API_KEY: ${{ secrets.DEEPSEEK_API_KEY }}
run: |
bun install
mkdir -p results
models="$MODELS"
[ "$MODE" = global ] && models="$models $GLOBAL_EXTRA_MODELS"
reasoning=()
[ -n "$REASONING" ] && [ "$MODE" != cli ] && reasoning=(--reasoning "$REASONING")
for m in $models; do
bun run cli -- run "$MODE" --model "$m" --runs "$RUNS" "${reasoning[@]}" \
--output "$PWD/results/$MODE-$m.json" || echo "::warning::$MODE on $m errored"
done
- name: Post results to the dashboard
if: always()
working-directory: ./ai_evals
env:
MODE: ${{ matrix.mode }}
INGEST_TOKEN: ${{ secrets.AI_EVALS_INGEST_TOKEN }}
RUN_URL: ${{ github.server_url }}/${{ github.repository }}/actions/runs/${{ github.run_id }}
run: |
[ -n "$INGEST_TOKEN" ] || { echo "::warning::AI_EVALS_INGEST_TOKEN is not set"; exit 0; }
shopt -s nullglob
for f in results/"$MODE"-*.json; do
# Keep what the dashboard reads; the full traces stay in the run's artifacts.
jq -c --arg ref "$GITHUB_REF" --arg trigger "$GITHUB_EVENT_NAME" --arg url "$RUN_URL" '
{result_json: (del(.cases[].prompt, .cases[].initialPath, .cases[].expectedPath)
| .cases[].attempts[] |= {attempt, passed, durationMs, toolCallCount, judgeScore,
judgeSummary, error, tokenUsage, checks: [.checks[]? | {name, passed}]}),
git_ref: $ref, trigger: $trigger, run_url: $url}' "$f" \
| curl -sf --retry 3 -X POST "$INGEST_URL" \
-H "Authorization: Bearer $INGEST_TOKEN" -H 'content-type: application/json' \
--data-binary @- && echo " <- $f" || echo "::warning::failed to post $f"
done
- name: Archive logs and results
uses: actions/upload-artifact@v4
if: always()
with:
name: ai-evals-${{ matrix.mode }}
path: |
ai_evals/logs
ai_evals/results
+3 -14
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@@ -77,31 +77,20 @@ Public CLI surface:
- `--verbose`: stream assistant output for frontend runs
- `--skip-judge`: skip LLM judge scoring for the run
- `--execution-only`: only require the model/proxy/frontend loop to complete; skip validators, tool expectations, backend artifact validation, and judge scoring
- `--reasoning <effort>`: reasoning effort for frontend modes (`off`, `low`, `medium`, `high`, `max`, …); without it the product's default applies (`high` on models that can reason). The effort is appended to the recorded model label (`anthropic:claude-sonnet-5-5@max`)
- `--record`: append a compact tracked summary line to `ai_evals/history/<mode>.jsonl` for full-suite runs only
- `--backend-validation <mode>`: optional backend smoke validation (`off` or `preview`) for `script` and `flow` evals
## Models
Use `bun run cli -- models` to see the current aliases.
Today:
- `haiku`
- `sonnet`
- `opus`
- `4o`
- `gpt-5.5`
- `gemini-3-flash-preview`
- `gemini-3.1-pro-preview`
- `deepseek-v4-flash`
- `deepseek-v4-pro`
Use `bun run cli -- models` to see the current aliases; `core/models.ts` is the list.
Notes:
- the command also prints accepted alias spellings such as `gpt-4o`, `gpt-55`, `claude-opus-4.6`, and `claude-haiku-4.5`
- frontend modes (`flow`, `script`, `app`, `global`) can use Anthropic, OpenAI, Gemini, and DeepSeek-backed aliases
- `cli` mode always uses the Anthropic agent SDK, so only Anthropic aliases are valid there
- the judge model is separate and currently defaults to `claude-sonnet-4-6`; use `--skip-judge` for deterministic-only runs
- the judge model is separate and currently defaults to `claude-sonnet-5-5`; use `--skip-judge` for deterministic-only runs
## Case Format
@@ -15,6 +15,7 @@ import { runEval } from "../shared";
import type { ModeRunContext } from "../../../../core/types";
import type { TokenUsage, ToolCallDetail } from "../shared/types";
import type { WindmillBackendSettings } from "../../../../core/windmillBackendSettings";
import { evalReasoningEffort } from "../shared/providerConfig";
export interface ScriptEvalResult {
success: boolean;
@@ -41,14 +42,15 @@ export interface ScriptEvalOptions {
function resolveModelProvider(
model: string,
provider?: AIProvider,
): AIProviderModel {
): AIProviderModel & { reasoning?: string } {
const reasoning = evalReasoningEffort();
if (provider) {
return { provider, model };
return { provider, model, reasoning };
}
if (model.startsWith("claude")) {
return { provider: "anthropic", model };
return { provider: "anthropic", model, reasoning };
}
return { provider: "openai", model };
return { provider: "openai", model, reasoning };
}
export async function runScriptEval(
@@ -12,6 +12,12 @@ export interface EvalClients {
export interface ResolvedEvalModelProvider {
provider: FrontendEvalProvider;
model: string;
reasoning?: string;
}
/** `run --reasoning` hands the effort to the frontend runtime through the environment. */
export function evalReasoningEffort(): string | undefined {
return process.env.WMILL_AI_EVAL_REASONING || undefined;
}
export interface WindmillAiProxyClientConfig {
@@ -73,6 +79,13 @@ export function createEvalClients(input: {
export function resolveEvalModelProvider(
model: string,
provider?: FrontendEvalProvider,
): ResolvedEvalModelProvider {
return { ...resolveProvider(model, provider), reasoning: evalReasoningEffort() };
}
function resolveProvider(
model: string,
provider?: FrontendEvalProvider,
): ResolvedEvalModelProvider {
if (provider) {
return { provider, model };
+29 -91
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@@ -5,8 +5,8 @@
"": {
"name": "windmill-ai-evals",
"dependencies": {
"@anthropic-ai/claude-agent-sdk": "^0.2.25",
"@anthropic-ai/sdk": "^0.39.0",
"@anthropic-ai/claude-agent-sdk": "^0.3.284",
"@anthropic-ai/sdk": "^0.129.0",
"commander": "^14.0.3",
"openai": "^6.9.1",
"yaml": "^2.8.3",
@@ -18,66 +18,44 @@
},
},
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"zod": ["zod@4.3.6", "", {}, "sha512-rftlrkhHZOcjDwkGlnUtZZkvaPHCsDATp4pGpuOOMDaTdDDXF91wuVDJoWoPsKX/3YPQ5fHuF3STjcYyKr+Qhg=="],
"zod-to-json-schema": ["zod-to-json-schema@3.25.2", "", { "peerDependencies": { "zod": "^3.25.28 || ^4" } }, "sha512-O/PgfnpT1xKSDeQYSCfRI5Gy3hPf91mKVDuYLUHZJMiDFptvP41MSnWofm8dnCm0256ZNfZIM7DSzuSMAFnjHA=="],
"@anthropic-ai/claude-agent-sdk/@anthropic-ai/sdk": ["@anthropic-ai/sdk@0.74.0", "", { "dependencies": { "json-schema-to-ts": "^3.1.1" }, "peerDependencies": { "zod": "^3.25.0 || ^4.0.0" }, "optionalPeers": ["zod"], "bin": { "anthropic-ai-sdk": "bin/cli" } }, "sha512-srbJV7JKsc5cQ6eVuFzjZO7UR3xEPJqPamHFIe29bs38Ij2IripoAhC0S5NslNbaFUYqBKypmmpzMTpqfHEUDw=="],
"@types/node-fetch/@types/node": ["@types/node@25.5.0", "", { "dependencies": { "undici-types": "~7.18.0" } }, "sha512-jp2P3tQMSxWugkCUKLRPVUpGaL5MVFwF8RDuSRztfwgN1wmqJeMSbKlnEtQqU8UrhTmzEmZdu2I6v2dpp7XIxw=="],
"bun-types/@types/node": ["@types/node@25.5.0", "", { "dependencies": { "undici-types": "~7.18.0" } }, "sha512-jp2P3tQMSxWugkCUKLRPVUpGaL5MVFwF8RDuSRztfwgN1wmqJeMSbKlnEtQqU8UrhTmzEmZdu2I6v2dpp7XIxw=="],
"form-data/mime-types": ["mime-types@2.1.35", "", { "dependencies": { "mime-db": "1.52.0" } }, "sha512-ZDY+bPm5zTTF+YpCrAU9nK0UgICYPT0QtT1NZWFv4s++TNkcgVaT0g6+4R2uI4MjQjzysHB1zxuWL50hzaeXiw=="],
"@types/node-fetch/@types/node/undici-types": ["undici-types@7.18.2", "", {}, "sha512-AsuCzffGHJybSaRrmr5eHr81mwJU3kjw6M+uprWvCXiNeN9SOGwQ3Jn8jb8m3Z6izVgknn1R0FTCEAP2QrLY/w=="],
"bun-types/@types/node/undici-types": ["undici-types@7.18.2", "", {}, "sha512-AsuCzffGHJybSaRrmr5eHr81mwJU3kjw6M+uprWvCXiNeN9SOGwQ3Jn8jb8m3Z6izVgknn1R0FTCEAP2QrLY/w=="],
"form-data/mime-types/mime-db": ["mime-db@1.52.0", "", {}, "sha512-sPU4uV7dYlvtWJxwwxHD0PuihVNiE7TyAbQ5SWxDCB9mUYvOgroQOwYQQOKPJ8CIbE+1ETVlOoK1UC2nU3gYvg=="],
}
}
+18
View File
@@ -108,6 +108,10 @@ async function main() {
"--record",
"append a compact summary line to ai_evals/history/<mode>.jsonl",
)
.option(
"--reasoning <effort>",
"reasoning effort for frontend modes (e.g. off, low, medium, high, max); default: the product's",
)
.option(
"--backend-validation <mode>",
`backend smoke validation (${BACKEND_VALIDATION_MODES.join(", ")})`,
@@ -126,6 +130,7 @@ async function main() {
executionOnly?: boolean;
record?: boolean;
backendValidation?: string;
reasoning?: string;
},
) => {
await handleRun({
@@ -140,6 +145,7 @@ async function main() {
executionOnly: options.executionOnly ?? false,
record: options.record ?? false,
backendValidation: options.backendValidation,
reasoning: options.reasoning,
});
},
);
@@ -190,6 +196,7 @@ async function handleRun(input: {
executionOnly: boolean;
record: boolean;
backendValidation?: string;
reasoning?: string;
}) {
if (input.record && input.caseIds.length > 0) {
throw new Error(
@@ -217,6 +224,13 @@ async function handleRun(input: {
"--backend-validation currently supports only flow and script modes",
);
}
if (input.reasoning) {
if (input.mode === "cli") {
throw new Error("--reasoning only applies to frontend modes");
}
// The frontend runtime runs in a child process, which inherits it.
process.env.WMILL_AI_EVAL_REASONING = input.reasoning;
}
if (input.mode !== "cli") {
await assertWindmillBackendReachable(resolveWindmillBackendSettings());
}
@@ -257,6 +271,10 @@ async function handleRun(input: {
backendValidation,
});
if (input.reasoning && result.runModel) {
result.runModel = `${result.runModel}@${input.reasoning}`;
}
const resolvedOutputPath =
models.length === 1
? resolveRunOutputPath(input.mode, input.outputPath)
+6 -8
View File
@@ -1,7 +1,7 @@
import Anthropic from "@anthropic-ai/sdk";
import type { EvalMode, JudgeResult } from "./types";
export const DEFAULT_JUDGE_MODEL = "claude-sonnet-4-6";
export const DEFAULT_JUDGE_MODEL = "claude-sonnet-5-5";
const JUDGE_TOOL_NAME = "submit_judgement";
@@ -29,6 +29,7 @@ export async function judgeOutput(input: {
const system = [
"You evaluate benchmark outputs for Windmill AI generation.",
`Always answer by calling the ${JUDGE_TOOL_NAME} tool.`,
"Deterministic checks already run separately. Focus on whether the final output satisfies the user request.",
"If expected state is provided, treat it as a valid example and reward semantically equivalent outputs.",
"If a checklist is provided, treat it as the explicit acceptance criteria for this case.",
@@ -69,8 +70,8 @@ export async function judgeOutput(input: {
try {
const response = await client.messages.create({
model,
max_tokens: 1024,
temperature: 0,
// The judge thinks by default, and thinking shares this budget with the verdict.
max_tokens: 16000,
system,
messages: [{ role: "user", content: user }],
tools: [
@@ -93,11 +94,8 @@ export async function judgeOutput(input: {
},
},
],
tool_choice: {
type: "tool",
name: JUDGE_TOOL_NAME,
disable_parallel_tool_use: true,
},
// Current models refuse a forced tool_choice ("tool"/"any").
tool_choice: { type: "auto", disable_parallel_tool_use: true },
});
const toolUseBlock = response.content.find(
+71
View File
@@ -78,6 +78,32 @@ export const EVAL_MODELS: EvalModelSpec[] = [
model: "opus",
},
},
{
id: "sonnet-5.5",
label: "Claude Sonnet 5.5",
aliases: ["sonnet-5.5", "claude-sonnet-5.5", "claude-sonnet-5-5"],
frontend: {
provider: "anthropic",
model: "claude-sonnet-5-5",
},
cli: {
provider: "anthropic",
model: "claude-sonnet-5-5",
},
},
{
id: "opus-5.5",
label: "Claude Opus 5.5",
aliases: ["opus-5.5", "claude-opus-5.5", "claude-opus-5-5"],
frontend: {
provider: "anthropic",
model: "claude-opus-5-5",
},
cli: {
provider: "anthropic",
model: "claude-opus-5-5",
},
},
{
id: "4o",
label: "GPT-4o",
@@ -96,6 +122,51 @@ export const EVAL_MODELS: EvalModelSpec[] = [
model: "gpt-5.5",
},
},
{
id: "gpt-5.6-sol",
label: "GPT-5.6 Sol",
aliases: ["gpt-5.6-sol"],
frontend: {
provider: "openai",
model: "gpt-5.6-sol",
},
},
{
id: "gpt-6-astra",
label: "GPT-6 Astra",
aliases: ["gpt-6-astra", "gpt-6"],
frontend: {
provider: "openai",
model: "gpt-6-astra",
},
},
{
id: "gpt-6-sol",
label: "GPT-6 Sol",
aliases: ["gpt-6-sol"],
frontend: {
provider: "openai",
model: "gpt-6-sol",
},
},
{
id: "gpt-6-luna",
label: "GPT-6 Luna",
aliases: ["gpt-6-luna"],
frontend: {
provider: "openai",
model: "gpt-6-luna",
},
},
{
id: "gemini-3.8-flash",
label: "Gemini 3.8 Flash",
aliases: ["gemini-3.8-flash"],
frontend: {
provider: "googleai",
model: "gemini-3.8-flash",
},
},
{
id: "gemini-3-flash-preview",
label: "Gemini 3 Flash Preview",
+2 -2
View File
@@ -8,8 +8,8 @@
"test:frontend-graph": "cd ../frontend && node_modules/.bin/vitest run --project server --config ../ai_evals/adapters/frontend/vitest.unit.config.ts"
},
"dependencies": {
"@anthropic-ai/claude-agent-sdk": "^0.2.25",
"@anthropic-ai/sdk": "^0.39.0",
"@anthropic-ai/claude-agent-sdk": "^0.3.284",
"@anthropic-ai/sdk": "^0.129.0",
"commander": "^14.0.3",
"openai": "^6.9.1",
"yaml": "^2.8.3"
@@ -0,0 +1,23 @@
{
"db_name": "PostgreSQL",
"query": "WITH RECURSIVE descendants AS (\n SELECT id FROM v2_job WHERE parent_job = $1 AND workspace_id = $2\n UNION ALL\n SELECT j.id FROM v2_job j JOIN descendants d ON j.parent_job = d.id\n WHERE j.workspace_id = $2\n ) SELECT d.id AS \"id!\" FROM descendants d JOIN v2_job_queue q ON q.id = d.id",
"describe": {
"columns": [
{
"ordinal": 0,
"name": "id!",
"type_info": "Uuid"
}
],
"parameters": {
"Left": [
"Uuid",
"Text"
]
},
"nullable": [
null
]
},
"hash": "0c2bf6925de6dd4d9f8d47d7fdd9e7801129570106b5acd49c0f708398606771"
}
@@ -0,0 +1,22 @@
{
"db_name": "PostgreSQL",
"query": "UPDATE v2_job_queue SET started_at = now() WHERE id = $1 RETURNING started_at",
"describe": {
"columns": [
{
"ordinal": 0,
"name": "started_at",
"type_info": "Timestamptz"
}
],
"parameters": {
"Left": [
"Uuid"
]
},
"nullable": [
true
]
},
"hash": "451f303f4a24d848ba4ccdc2441ca7cb85bdfc66110b6534260f8642f91f006a"
}
@@ -1,41 +0,0 @@
{
"db_name": "PostgreSQL",
"query": "SELECT c.id IS NOT NULL AS \"completed!\",\n c.result AS \"result: sqlx::types::Json<Box<RawValue>>\",\n c.status = 'success' AS \"success\",\n EXISTS(SELECT 1 FROM v2_job_queue WHERE id = $1) AS \"queued!\"\n FROM (SELECT 1) one\n LEFT JOIN v2_job_completed c ON c.id = $1 AND c.workspace_id = $2",
"describe": {
"columns": [
{
"ordinal": 0,
"name": "completed!",
"type_info": "Bool"
},
{
"ordinal": 1,
"name": "result: sqlx::types::Json<Box<RawValue>>",
"type_info": "Jsonb"
},
{
"ordinal": 2,
"name": "success",
"type_info": "Bool"
},
{
"ordinal": 3,
"name": "queued!",
"type_info": "Bool"
}
],
"parameters": {
"Left": [
"Uuid",
"Text"
]
},
"nullable": [
null,
true,
null,
null
]
},
"hash": "52f9582423689f098a337f88341239a136ee5132bc97f4b06cc1ee5beaa621e5"
}
@@ -0,0 +1,35 @@
{
"db_name": "PostgreSQL",
"query": "SELECT id, status = 'success' AS \"success!\", result AS \"result: Json<Box<RawValue>>\"\n FROM v2_job_completed WHERE workspace_id = $1 AND id = ANY($2)",
"describe": {
"columns": [
{
"ordinal": 0,
"name": "id",
"type_info": "Uuid"
},
{
"ordinal": 1,
"name": "success!",
"type_info": "Bool"
},
{
"ordinal": 2,
"name": "result: Json<Box<RawValue>>",
"type_info": "Jsonb"
}
],
"parameters": {
"Left": [
"Text",
"UuidArray"
]
},
"nullable": [
false,
null,
true
]
},
"hash": "789c3f6d29f46fcb17a22fe97405a1754ccb8ddeb08c23795dfe14e9f332e9dc"
}
@@ -0,0 +1,16 @@
{
"db_name": "PostgreSQL",
"query": "UPDATE v2_job_queue SET worker = $1, running = true, started_at = now()\n WHERE id = $2 AND tag = ANY($3)",
"describe": {
"columns": [],
"parameters": {
"Left": [
"Varchar",
"Uuid",
"TextArray"
]
},
"nullable": []
},
"hash": "f5c87b6fc1decd6dc53590fe4d16f59430530b8b7428e42d1777927e63395ff8"
}
+10
View File
@@ -14876,6 +14876,7 @@ dependencies = [
"windmill-worker-volumes",
"windows-service",
"windows-sys 0.52.0",
"winresource",
]
[[package]]
@@ -17382,6 +17383,15 @@ dependencies = [
"memchr",
]
[[package]]
name = "winresource"
version = "0.1.31"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "0986a8b1d586b7d3e4fe3d9ea39fb451ae22869dcea4aa109d287a374d866087"
dependencies = [
"version_check",
]
[[package]]
name = "winsafe"
version = "0.0.19"
+3
View File
@@ -329,6 +329,9 @@ strum.workspace = true
windows-service = "0.7"
windows-sys = { version = "0.52", features = ["Win32_System_Services", "Win32_System_Console", "Win32_Foundation"] }
[target.'cfg(windows)'.build-dependencies]
winresource = { version = "0.1.31", default-features = false }
[target.'cfg(not(target_env = "msvc"))'.dependencies]
tikv-jemallocator = { optional = true, workspace = true }
tikv-jemalloc-sys = { optional = true, workspace = true }
+15
View File
@@ -2,4 +2,19 @@
fn main() {
// trigger recompilation when a new migration is added
println!("cargo:rerun-if-changed=migrations");
// Embed a VERSIONINFO resource so the exe's file properties carry the release
// version (from Cargo.toml), which Windows worker update scripts read.
// `cfg(windows)` is the host, matching the Windows-only build-dependency, so
// cross builds to Windows get no version resource.
#[cfg(windows)]
if std::env::var("CARGO_CFG_TARGET_OS").as_deref() == Ok("windows") {
winresource::WindowsResource::new()
.set("ProductName", "Windmill")
.set("FileDescription", "Windmill")
.set("CompanyName", "Windmill Labs, Inc.")
.set("LegalCopyright", "Copyright Windmill Labs, Inc.")
.compile()
.expect("failed to embed the Windows version resource");
}
}
+220
View File
@@ -0,0 +1,220 @@
use axum::{
extract::State,
routing::{get, post},
Json, Router,
};
use serde_json::{json, Value};
use sqlx::{Pool, Postgres};
use std::{sync::Arc, time::Duration};
use tokio::sync::Notify;
use windmill_common::{flows::FlowValue, jobs::JobPayload};
use windmill_test_utils::{
completed_job, in_test_worker, listen_for_completed_jobs, ApiServer, RunJob, StreamFind,
};
async fn model(Json(body): Json<Value>) -> ([(&'static str, &'static str); 1], String) {
let finished = body["messages"]
.as_array()
.unwrap()
.iter()
.any(|m| m["role"] == "tool");
let delta = if finished {
json!({"role":"assistant", "content":"done"})
} else {
json!({"role":"assistant", "tool_calls": (0..3).map(|i| json!({
"index":i, "id":format!("call_{i}"), "type":"function",
"function":{"name":format!("tool_{i}"), "arguments":"{}"}
})).collect::<Vec<_>>()})
};
let event = json!({"choices":[{"index":0, "delta":delta, "finish_reason":null}]});
let end = json!({"choices":[{"index":0, "delta":{}, "finish_reason":if finished {"stop"} else {"tool_calls"}}]});
(
[("content-type", "text/event-stream")],
format!("data: {event}\n\ndata: {end}\n\ndata: [DONE]\n\n"),
)
}
async fn run_batch(
db: Pool<Postgres>,
parallel: bool,
limited: bool,
unsupported: bool,
) -> anyhow::Result<()> {
std::env::set_var("ALLOW_PRIVATE_AI_BASE_URLS", "true");
let server = ApiServer::start(db.clone()).await?;
let listener = tokio::net::TcpListener::bind("127.0.0.1:0").await?;
let base = format!("http://{}", listener.local_addr()?);
let gate = Arc::new(Notify::new());
let router = Router::new()
.route("/v1/chat/completions", post(model))
.route(
"/first",
get(|State(gate): State<Arc<Notify>>| async move {
gate.notified().await;
"ok"
}),
)
.route(
"/second",
get(|State(gate): State<Arc<Notify>>| async move {
gate.notify_one();
"ok"
}),
)
.with_state(gate);
let stub = tokio::spawn(async move {
axum::serve(listener, router).await.unwrap();
});
let tools: Vec<Value> = (0..3).map(|i| {
let wait = if parallel && !limited && i < 2 {
format!("await fetch('{base}/{}');", if i == 0 {"first"} else {"second"})
} else { String::new() };
let finish = if i == 2 { "throw new Error('expected tool failure');".to_string() }
else { format!("return {i};") };
json!({"id":format!("t{i}"),"summary":format!("tool_{i}"),"value":{
"type":"rawscript", "language":"bun", "input_transforms":{},
"tag": if unsupported && i != 1 { "unserved-tool-tag" } else { "bun" },
"concurrent_limit": if limited { Some(1) } else { None },
"custom_concurrency_key": if limited { Some("agent-tool-test") } else { None },
"content":format!("export async function main() {{ {wait} await Bun.sleep({}); {finish} }}", if i == 0 {200} else {0})
}})
}).collect();
let flow: FlowValue = serde_json::from_value(
json!({"modules":[{"id":"agent","timeout":if unsupported {Some(3)} else {None},"value":{
"type":"aiagent", "tools":tools, "input_transforms":{
"provider":{"type":"static","value":{"kind":"customai","model":"queue-test","resource":{"base_url":format!("{base}/v1")}}},
"user_message":{"type":"static","value":"run the tools"},
"max_iterations":{"type":"static","value":3}
}
}}]}),
)?;
let id = RunJob::from(JobPayload::RawFlow {
value: flow,
path: Some("u/test/agent_queue".into()),
restarted_from: None,
})
.push(&db)
.await;
let notifications = listen_for_completed_jobs(&db).await;
let wait = async {
if parallel {
in_test_worker(&db, notifications.find(&id), server.addr.port()).await;
} else {
notifications.find(&id).await;
}
};
tokio::time::timeout(
Duration::from_secs(45),
in_test_worker(&db, wait, server.addr.port()),
)
.await?;
let result = completed_job(id, &db).await;
if unsupported {
assert!(
!result.success,
"agent must time out waiting for unsupported tools"
);
let children: Vec<(String, bool, bool)> = sqlx::query_as(
"SELECT j.runnable_path, c.status = 'success', c.started_at IS NULL
FROM v2_job j JOIN v2_job_completed c USING(id)
WHERE j.parent_job IN (SELECT id FROM v2_job WHERE parent_job = $1)
ORDER BY j.runnable_path",
)
.bind(id)
.fetch_all(&db)
.await?;
assert_eq!(children.len(), 3);
assert_eq!(
children.iter().map(|c| (c.1, c.2)).collect::<Vec<_>>(),
vec![(false, true), (true, false), (false, true)],
"neither the first-tool reservation nor fallback may execute unsupported tags"
);
stub.abort();
server.close().await?;
return Ok(());
}
assert!(result.success, "{:?}", result.result);
let result = result.json_result().expect("agent result");
let messages: Vec<_> = result["messages"]
.as_array()
.unwrap()
.iter()
.filter(|m| m["role"] == "tool")
.collect();
assert_eq!(messages.len(), 3);
for (index, message) in messages.iter().enumerate() {
assert_eq!(message["tool_call_id"], format!("call_{index}"));
}
assert_eq!(messages[0]["content"], "0");
assert_eq!(messages[1]["content"], "1");
assert!(messages[2]["content"]
.as_str()
.unwrap()
.contains("expected tool failure"));
let (parent_id, parent_worker): (uuid::Uuid, String) = sqlx::query_as(
"SELECT j.id, c.worker FROM v2_job j JOIN v2_job_completed c USING(id) WHERE j.parent_job = $1"
).bind(id).fetch_one(&db).await?;
let children: Vec<(String, String, bool)> = sqlx::query_as(
"SELECT j.runnable_path, c.worker, c.status = 'success' FROM v2_job j JOIN v2_job_completed c USING(id) WHERE j.parent_job = $1 ORDER BY j.runnable_path"
).bind(parent_id).fetch_all(&db).await?;
assert_eq!(children.len(), 3);
assert_eq!(
children[0].1, parent_worker,
"first tool must stay on the parent worker"
);
assert_eq!(
children.iter().map(|c| c.2).collect::<Vec<_>>(),
vec![true, true, false]
);
if limited {
let overlapping: i64 = sqlx::query_scalar(
"SELECT count(*) FROM v2_job j1 JOIN v2_job_completed c1 ON c1.id = j1.id
JOIN v2_job j2 ON j2.parent_job = j1.parent_job AND j2.id > j1.id
JOIN v2_job_completed c2 ON c2.id = j2.id
WHERE j1.parent_job = $1 AND c1.started_at < c2.completed_at AND c2.started_at < c1.completed_at"
).bind(parent_id).fetch_one(&db).await?;
assert_eq!(
overlapping, 0,
"the reserved first job must count toward the shared limit"
);
} else if parallel {
assert_ne!(
children[1].1, parent_worker,
"second tool must unblock the first from another worker"
);
} else {
assert!(children.iter().all(|child| child.1 == parent_worker));
}
stub.abort();
server.close().await?;
Ok(())
}
#[sqlx::test(fixtures("base"))]
#[serial_test::serial]
async fn parent_drains_tools_without_another_worker(db: Pool<Postgres>) -> anyhow::Result<()> {
run_batch(db, false, false, false).await
}
#[sqlx::test(fixtures("base"))]
#[serial_test::serial]
async fn parent_keeps_first_tool_while_another_worker_runs_siblings(
db: Pool<Postgres>,
) -> anyhow::Result<()> {
run_batch(db, true, false, false).await
}
#[cfg(all(feature = "enterprise", feature = "private"))]
#[sqlx::test(fixtures("base"))]
#[serial_test::serial]
async fn reserved_tool_obeys_shared_concurrency_limit(db: Pool<Postgres>) -> anyhow::Result<()> {
run_batch(db, true, true, false).await
}
#[sqlx::test(fixtures("base"))]
#[serial_test::serial]
async fn parent_leaves_unsupported_first_and_remaining_tools_queued(
db: Pool<Postgres>,
) -> anyhow::Result<()> {
run_batch(db, false, false, true).await
}
+74
View File
@@ -465,6 +465,37 @@ def main(x: int):
);
}
#[test]
fn test_python_execd_async() {
let script = r#"
import asyncio
_import_loop = asyncio.new_event_loop()
asyncio.set_event_loop(_import_loop)
async def preprocessor(x: int):
return {"x": x * 2}
async def main(x: int):
return {"x": x + 100, "same_loop": asyncio.get_running_loop() is _import_loop}
"#;
let results = run_py_raw_protocol_test(
&[("f/test/async", script)],
vec![
ProtocolCmd::ExecdPreprocess { args: serde_json::json!({"x": 5}) },
ProtocolCmd::Execd { args: serde_json::json!({"x": 7}) },
],
);
assert_eq!(
results,
vec![
DedicatedWorkerResult::PreprocessedArgs(serde_json::json!({"x": 10})),
DedicatedWorkerResult::Success(serde_json::json!({"x": 110, "same_loop": true})),
DedicatedWorkerResult::Success(serde_json::json!({"x": 107, "same_loop": true})),
]
);
}
// ==================== Argument Transformation Tests ====================
#[test]
@@ -760,6 +791,49 @@ def main():
Ok(())
}
#[cfg(feature = "python")]
#[sqlx::test(fixtures("base"))]
async fn test_python_async_main(db: Pool<Postgres>) -> anyhow::Result<()> {
initialize_tracing().await;
let server = ApiServer::start(db.clone()).await?;
let port = server.addr.port();
let content = r#"
import asyncio
async def main(x: int):
await asyncio.sleep(0)
return x + 1
"#
.to_owned();
let job = JobPayload::Code(RawCode {
hash: None,
content,
path: None,
language: ScriptLang::Python3,
lock: None,
concurrency_settings: windmill_common::runnable_settings::ConcurrencySettings::default()
.into(),
debouncing_settings: windmill_common::runnable_settings::DebouncingSettings::default(),
cache_ttl: None,
cache_ignore_s3_path: None,
dedicated_worker: None,
modules: None,
tag: None,
});
let result = RunJob::from(job)
.arg("x", serde_json::json!(41))
.run_until_complete(&db, false, port)
.await
.json_result()
.unwrap();
assert_eq!(result, serde_json::json!(42));
Ok(())
}
#[cfg(feature = "python")]
#[sqlx::test(fixtures("base"))]
async fn test_python_result_preserves_infinity_in_string(db: Pool<Postgres>) -> anyhow::Result<()> {
+164
View File
@@ -14,6 +14,130 @@ use std::time::{Duration, Instant};
/// its `thinking` param, Gemini to a zero budget or the model's floor).
pub(crate) const REASONING_OFF_SENTINEL: &str = "none";
/// The effort to send for a model, dropping the off sentinel on a model that rejects every
/// disable: the model then reasons at its default instead of failing the request. The UI
/// never offers off on these, so this guards an agent step saved before it stopped, or an
/// effort passed in as a flow input.
pub fn effective_reasoning_effort<'a>(model: &str, effort: Option<&'a str>) -> Option<&'a str> {
match effort {
Some(effort)
if effort == REASONING_OFF_SENTINEL
&& reasoning_rule(model).is_some_and(|rule| !rule.can_disable) =>
{
None
}
effort => effort,
}
}
/// Whether a request with function tools must send the off sentinel on Chat Completions:
/// the model refuses tools there while it reasons, and does accept being turned off.
pub(crate) fn completions_tools_need_reasoning_off(model: &str) -> bool {
reasoning_rule(model).is_some_and(|rule| rule.completions_tools_need_off && rule.can_disable)
}
/// What the backend needs to know about a model's reasoning: the rows of `REASONING_RULES`
/// in the frontend's `reasoningRegistry.ts`, cut down to the two facts the wire needs.
/// `reasoningParity.json` next to that file is checked by both sides' tests.
struct ReasoningRule {
matches: fn(&str) -> bool,
/// False when the provider rejects every disable, so the off sentinel must not be sent.
can_disable: bool,
/// Chat Completions refuses function tools while the model reasons, even with the
/// effort omitted (live-verified); the Responses API has no such limit.
completions_tools_need_off: bool,
}
/// Matched in order against the lowercased model id, first match wins. A model no row
/// matches keeps whatever effort it was given.
const REASONING_RULES: &[ReasoningRule] = &[
// Live-verified: Fable, Mythos and the 5.x point releases reject `thinking: disabled`.
ReasoningRule {
matches: |m| m.contains("claude-fable") || m.contains("claude-mythos"),
can_disable: false,
completions_tools_need_off: false,
},
ReasoningRule {
matches: is_claude_5_point_release,
can_disable: false,
completions_tools_need_off: false,
},
// Live-verified: astra takes low..max only, where sol and luna also take `none`.
ReasoningRule {
matches: |m| base_id(m).starts_with("gpt-6-astra"),
can_disable: false,
completions_tools_need_off: true,
},
ReasoningRule {
matches: |m| gpt_version(m).is_some_and(|(major, _)| major >= 6),
can_disable: true,
completions_tools_need_off: true,
},
ReasoningRule {
matches: |m| matches!(gpt_version(m), Some((5, Some(minor))) if minor >= 5),
can_disable: true,
completions_tools_need_off: true,
},
ReasoningRule {
matches: |m| matches!(gpt_version(m), Some((5, Some(_)))),
can_disable: true,
completions_tools_need_off: false,
},
// gpt-5 and the o-series reject `none`.
ReasoningRule {
matches: |m| matches!(gpt_version(m), Some((5, None))),
can_disable: false,
completions_tools_need_off: false,
},
ReasoningRule {
matches: |m| {
let base = base_id(m);
base.starts_with('o') && base[1..].starts_with(|c: char| c.is_ascii_digit())
},
can_disable: false,
completions_tools_need_off: false,
},
];
fn reasoning_rule(model: &str) -> Option<&'static ReasoningRule> {
let model = model.to_lowercase();
REASONING_RULES.iter().find(|rule| (rule.matches)(&model))
}
/// The id after a gateway's `vendor/` and before a `:variant`.
fn base_id(model: &str) -> &str {
let last = model.rsplit('/').next().unwrap_or(model);
last.split(':').next().unwrap_or(last)
}
/// `(major, minor)` of a `gpt-` id. The major is one digit then a separator or the end,
/// since Azure names gpt-3.5 `gpt-35-turbo`.
fn gpt_version(model: &str) -> Option<(u32, Option<u32>)> {
let rest = base_id(model).strip_prefix("gpt-")?;
let mut chars = rest.chars();
let major = chars.next()?.to_digit(10)?;
match chars.next() {
None | Some('-') => Some((major, None)),
Some('.') => {
let minor: String = chars.take_while(char::is_ascii_digit).collect();
Some((major, minor.parse().ok()))
}
_ => None,
}
}
/// Sonnet or Opus 5.x with x >= 1. The version match stops at one digit so a dated id
/// (`claude-sonnet-5-20260101`) stays Sonnet 5.
fn is_claude_5_point_release(model: &str) -> bool {
let model = model.replace('.', "-");
["claude-opus-5-", "claude-sonnet-5-"].iter().any(|prefix| {
model.split(prefix).skip(1).any(|rest| {
let mut chars = rest.chars();
matches!(chars.next(), Some('1'..='9')) && !matches!(chars.next(), Some('0'..='9'))
})
})
}
/// Whether a Claude model removed the sampling params (`temperature`, `top_p`,
/// `top_k`). On these, any value is a hard 400 — `temperature is deprecated for
/// this model` — whatever the thinking mode, so the param has to be dropped on
@@ -119,6 +243,46 @@ pub fn remember_chat_completions_only(base_url: &str, model: &str) {
CHAT_COMPLETIONS_ONLY.insert((base_url.to_string(), model.to_string()), Instant::now());
}
#[cfg(test)]
mod reasoning_rule_tests {
use super::*;
/// The frontend registry's test reads the same file. These rules see the model id
/// alone, so it holds only rows whose answer doesn't depend on the provider.
#[test]
fn agrees_with_the_frontend_registry() {
let rows: Vec<serde_json::Value> = serde_json::from_str(include_str!(
"../../../../frontend/src/lib/components/copilot/reasoningParity.json"
))
.unwrap();
for row in rows {
let model = row["model"].as_str().unwrap();
let can_disable = row["canDisable"].as_bool().unwrap();
let tools_need_off = row["completionsToolsNeedOff"].as_bool().unwrap();
let sent = effective_reasoning_effort(model, Some(REASONING_OFF_SENTINEL));
assert_eq!(sent.is_some(), can_disable, "{model}");
assert_eq!(
effective_reasoning_effort(model, Some("low")),
Some("low"),
"{model}"
);
assert_eq!(
completions_tools_need_reasoning_off(model),
tools_need_off && can_disable,
"{model}"
);
}
}
#[test]
fn reads_ids_the_frontend_resolves_first() {
// Azure's gpt-3.5 is not major 35, and a gateway prefix is not part of the id.
assert_eq!(gpt_version("gpt-35-turbo"), None);
assert!(completions_tools_need_reasoning_off("openai/gpt-6-sol"));
assert_eq!(effective_reasoning_effort("openai/o3", Some("none")), None);
}
}
#[cfg(test)]
mod chat_completions_only_tests {
use super::*;
@@ -1,3 +1,4 @@
use super::{completions_tools_need_reasoning_off, REASONING_OFF_SENTINEL};
use crate::{
ai_providers::AIProvider,
image_handler::prepare_messages_for_api,
@@ -143,6 +144,15 @@ impl OtherQueryBuilder {
let (reasoning_effort, thinking, temperature) =
provider_reasoning_fields(&self.provider_kind, args.reasoning_effort, args.temperature);
// With tools, gpt-5.5+ only run here with reasoning off: turn it off where the model
// can, rather than failing every turn.
let reasoning_effort = if args.tools.is_some_and(|tools| !tools.is_empty())
&& completions_tools_need_reasoning_off(args.model)
{
Some(REASONING_OFF_SENTINEL)
} else {
reasoning_effort
};
// Build request with stream_options for usage tracking
let request_with_usage = OpenAICompletionRequest {
+4 -1
View File
@@ -294,7 +294,10 @@ impl ProviderWithResource {
/// The reasoning effort to thread to the provider, treating an empty string
/// (e.g. a cleared flow input) as unset.
pub fn get_reasoning_effort(&self) -> Option<&str> {
self.reasoning_effort.as_deref().filter(|s| !s.is_empty())
crate::providers::effective_reasoning_effort(
&self.model,
self.reasoning_effort.as_deref().filter(|s| !s.is_empty()),
)
}
pub async fn get_base_url(&self, db: &DB) -> Result<String, Error> {
+18
View File
@@ -864,6 +864,24 @@ pub fn make_pull_query(tags: &[String]) -> String {
query
}
/// Claim a parent's tool jobs matching its worker tags. The caller must supply only child IDs
/// it owns; this query is an internal scheduling primitive and does not authorize job access.
pub fn make_tool_job_pull_query(job_ids: &[uuid::Uuid], tags: &[String]) -> String {
// pull() binds only the worker name. These literals come from typed UUIDs, never input SQL.
let ids = job_ids.iter().map(|id| format!("'{id}'::uuid")).join(", ");
let tags = tags
.iter()
.map(|tag| format!("'{}'", tag.replace('\'', "''")))
.join(", ");
format_pull_query(format!(
"SELECT id FROM v2_job_queue
WHERE running = false AND id = ANY(ARRAY[{ids}]::uuid[]) AND scheduled_for <= now()
AND tag = ANY(ARRAY[{tags}]::text[])
ORDER BY priority DESC NULLS LAST, scheduled_for
FOR UPDATE SKIP LOCKED LIMIT 1"
))
}
// Variant of `make_pull_query` that additionally excludes jobs whose workspace_id is in the
// overloaded-list bind parameter ($2::text[]). Built as a separate string (rather than reusing
// `make_pull_query` with an always-bound array) so the planner can keep using the same indexes
+2 -2
View File
@@ -184,7 +184,7 @@ pub enum ObjectType {
DatatableMigration,
}
pub const LATEST_GIT_SYNC_SCRIPT_PATH: &str = "hub/28971/sync-script-to-git-repo-windmill";
pub const LATEST_GIT_SYNC_SCRIPT_PATH: &str = "hub/28994/sync-script-to-git-repo-windmill";
/// Hub script that applies a repository's state back into a workspace
/// (the repo → Windmill / "pull" direction). Same script the UI runs from
@@ -192,7 +192,7 @@ pub const LATEST_GIT_SYNC_SCRIPT_PATH: &str = "hub/28971/sync-script-to-git-repo
/// ignores the slug, so the slug is kept free of characters that would be
/// percent-encoded into the run URL (a `:` becomes `%3A`, which some hardened
/// reverse proxies reject as double-encoding when the client re-encodes it).
pub const GIT_SYNC_PULL_SCRIPT_PATH: &str = "hub/28970/git-sync-init-repository-windmill";
pub const GIT_SYNC_PULL_SCRIPT_PATH: &str = "hub/28993/git-sync-init-repository-windmill";
/// Prefix used to identify fork workspaces. A workspace whose id starts with this string is a
/// fork of another workspace.
+39
View File
@@ -4909,6 +4909,45 @@ pub fn has_active_concurrency_limit(concurrent_limit: Option<i32>) -> bool {
concurrent_limit.is_some_and(|n| n > 0)
}
/// Admit a job already owned by a worker without releasing its queue reservation.
/// The caller must maintain its heartbeat while waiting and complete it on failure.
pub async fn try_admit_owned_job(db: &DB, job: &MiniPulledJob) -> error::Result<bool> {
#[cfg(all(feature = "private", feature = "enterprise"))]
{
let settings = windmill_common::runnable_settings::prefetch_cached_from_handle(
job.runnable_settings_handle,
db,
)
.await?
.1
.maybe_fallback(None, job.concurrent_limit, job.concurrency_time_window_s);
if has_active_concurrency_limit(settings.concurrent_limit)
&& !*DISABLE_CONCURRENCY_LIMIT
&& job.canceled_by.is_none()
{
let key = concurrency_key(db, &job.id).await?.ok_or_else(|| {
Error::internal_err(format!("No concurrency key found for job {}", job.id))
})?;
if !key.is_empty() {
return Ok(crate::jobs_ee::update_concurrency_counter(
db,
&job.id,
key,
serde_json::json!({ job.id.to_string(): {} }),
job.id.to_string(),
settings.concurrency_time_window_s.unwrap_or(0),
settings.concurrent_limit.unwrap_or_default(),
)
.await?
.0);
}
}
}
#[cfg(not(all(feature = "private", feature = "enterprise")))]
let _ = (db, job);
Ok(true)
}
pub async fn custom_concurrency_key(
db: &Pool<Postgres>,
job_id: &Uuid,
+351 -413
View File
@@ -7,16 +7,15 @@ use crate::ai::utils::{
use crate::common::OccupancyMetrics;
use crate::result_processor::handle_non_flow_job_error;
use crate::worker_flow::{
evaluate_input_transform, raw_script_to_payload, script_to_payload, JobPayloadWithTag,
};
use crate::{
create_job_dir, handle_queued_job, JobCompletedReceiver, JobCompletedSender, SendResult,
SendResultPayload,
evaluate_input_transform, raw_script_to_payload, resolve_flow_step_tag, script_to_payload,
JobPayloadWithTag,
};
use crate::{create_job_dir, handle_queued_job, JobCompletedSender};
use anyhow::Context;
use mappable_rc::Marc;
use serde_json::value::RawValue;
use std::{collections::HashMap, sync::Arc};
use sqlx::types::Json;
use std::{collections::HashMap, sync::Arc, time::Duration};
use uuid::Uuid;
use windmill_ai::{ai_types::OpenAIToolCall, query_builder::StreamEventSink, types::*};
use windmill_common::jobs::JobPayload;
@@ -36,11 +35,12 @@ use windmill_common::{
flow_conversations::{MessageExtras, MessageType},
flow_status::AgentAction,
flows::FlowModuleValue,
worker::{to_raw_value, Connection},
worker::{make_tool_job_pull_query, to_raw_value, Connection, WORKER_CONFIG},
};
use windmill_queue::{
add_completed_job, add_completed_job_error, check_tag_available_for_push, get_mini_pulled_job,
push, resolve_push_tag, MiniCompletedJob, MiniPulledJob, PushArgs, PushIsolationLevel,
append_logs, check_tag_available_for_push, get_mini_pulled_job, pull, push, resolve_push_tag,
tag_reads_flow_expr, try_admit_owned_job, MiniCompletedJob, MiniPulledJob, PushArgs,
PushIsolationLevel,
};
/// Shared collection of abort handles for spawned tool tasks.
@@ -74,6 +74,8 @@ pub struct ToolExecutionContext<'a> {
pub stream_event_processor: Option<&'a StreamEventProcessor>,
pub flow_context: &'a mut FlowContext,
pub omit_output_from_conversation: bool,
/// The agent's flow `preserve_step_tags`: its tools pick their tag as that flow's steps do.
pub preserve_step_tags: bool,
/// The thinking that led to this round's calls, stored on the first tool row written.
/// None when the round wrote text, whose row carries it.
pub reasoning: Option<String>,
@@ -82,6 +84,7 @@ pub struct ToolExecutionContext<'a> {
// Abort handles for spawned tool tasks (used for force-cancel cleanup)
pub tool_abort_handles: ToolAbortHandles,
pub job_completed_tx: JobCompletedSender,
}
/// Execute all tool calls from an AI response
@@ -98,7 +101,8 @@ pub async fn execute_tool_calls(
let mut used_structured_output_tool = false;
let mut final_content = None;
for tool_call in tool_calls.iter() {
let mut calls = tool_calls.iter().peekable();
while let Some(tool_call) = calls.next() {
// Stream tool call progress
if let Some(stream_event_processor) = ctx.stream_event_processor {
let event = StreamingEvent::ToolExecution {
@@ -150,15 +154,24 @@ pub async fn execute_tool_calls(
)
.await?;
} else if tool.module.is_some() {
execute_windmill_tool(
&mut ctx,
tool_call,
tool,
actions,
&mut messages,
final_events_str,
)
.await?;
let mut batch = vec![(tool_call, tool)];
while let Some(next_call) = calls.peek() {
if structured_output_tool_name.as_deref()
== Some(next_call.function.name.as_str())
{
break;
}
let Some(next_tool) = tools.iter().find(|t| {
t.def.function.name == next_call.function.name
&& t.mcp_source.is_none()
&& t.module.is_some()
}) else {
break;
};
batch.push((calls.next().unwrap(), next_tool));
}
execute_windmill_tools(&mut ctx, &batch, actions, &mut messages, final_events_str)
.await?;
} else {
return Err(Error::internal_err(format!(
"Tool type not supported: {}",
@@ -313,14 +326,13 @@ async fn execute_mcp_tool_call(
}
/// Execute a Windmill tool (script or flow)
async fn execute_windmill_tool(
ctx: &mut ToolExecutionContext<'_>,
async fn enqueue_windmill_tool(
ctx: &ToolExecutionContext<'_>,
tool_call: &OpenAIToolCall,
tool: &Tool,
actions: &mut Vec<AgentAction>,
messages: &mut Vec<OpenAIMessage>,
final_events_str: &mut String,
) -> Result<(), Error> {
reserved: bool,
) -> Result<(Uuid, bool), Error> {
// Regular Windmill tools must have a module
let tool_module = tool.module.as_ref().ok_or_else(|| {
Error::internal_err(format!("Tool {} has no module", tool_call.function.name))
@@ -402,8 +414,6 @@ async fn execute_windmill_tool(
tool_call_args.insert(key.clone(), result);
}
let is_ai_agent_tool = matches!(tool_value, FlowModuleValue::AIAgent { .. });
let job_payload = match tool_value {
FlowModuleValue::Script { path: script_path, hash: script_hash, tag_override, .. } => {
script_to_payload(
@@ -473,7 +483,6 @@ async fn execute_windmill_tool(
));
}
let path = format!("{}/tools/{}", ctx.job.runnable_path(), tool_module.id);
// a nested agent always runs inline on this worker, under this agent's tag
JobPayloadWithTag {
payload: JobPayload::AIAgent { path },
tag: None,
@@ -502,18 +511,34 @@ async fn execute_windmill_tool(
let push_args = PushArgs { args: &tool_call_args, extra: None };
// A tool with a tag of its own naming another queue than this agent's must run on a worker
// that tag selects, and like any tag the caller chose it must pass the workspace's custom tag
// restrictions. It runs inline when this worker serves that queue: the agent holds this
// worker while it waits, so dispatching to a queue it serves could wait on itself.
let mut resolved_tool_tag = None;
if let Some(tag) = job_payload.tag.as_deref() {
resolved_tool_tag = resolve_push_tag(tag, &push_args, &ctx.job.workspace_id, ctx.db)
.await
.filter(|resolved| *resolved != ctx.job.tag);
// The agent's tag stands in for the flow's, as a sub-flow's does for its own steps.
let tool_tag = resolve_flow_step_tag(
false,
&ctx.job.tag,
&ctx.job.workspace_id,
ctx.preserve_step_tags,
job_payload.tag.as_deref(),
);
if tool_tag.as_deref().is_some_and(tag_reads_flow_expr) {
append_logs(
&ctx.job.id,
&ctx.job.workspace_id,
format!(
"Tool '{}' is tagged with `$flow_expr[...]`, which AI agent tools do not resolve, so it runs on its default tag.\n",
tool_call.function.name
),
ctx.conn,
)
.await;
}
let tool_tag = match (job_payload.tag.as_deref(), resolved_tool_tag.as_ref()) {
(Some(tag), Some(_)) => {
// A tool's own tag routes its job, so like any tag the caller chose it must pass the
// workspace's custom tag restrictions. The agent's tag was already checked when it was pushed.
if let Some(tag) = tool_tag.as_deref() {
if resolve_push_tag(tag, &push_args, &ctx.job.workspace_id, ctx.db)
.await
.is_some_and(|resolved| resolved != ctx.job.tag)
{
let is_super_admin = windmill_common::auth::is_super_admin_email(ctx.db, email).await?;
check_tag_available_for_push(
ctx.db,
@@ -531,16 +556,8 @@ async fn execute_windmill_tool(
)),
e => e,
})?;
Some(tag.to_string())
}
_ => None,
};
let run_inline = resolved_tool_tag.is_none_or(|resolved| {
windmill_common::worker::WORKER_CONFIG
.load()
.worker_tags
.contains(&resolved)
});
}
let mut tx = ctx.db.begin().await?;
@@ -573,77 +590,71 @@ async fn execute_windmill_tool(
false,
None,
ctx.job.visible_to_owner,
Some(tool_tag.unwrap_or_else(|| ctx.job.tag.clone())),
tool_tag,
job_payload.timeout,
None,
job_priority,
job_perms.as_ref(),
run_inline,
false,
None,
None,
None,
)
.await?;
tx.commit().await?;
if !run_inline {
// Like an inline tool's failure, a lost wait reaches the model rather than failing the
// agent.
let (result, success) =
match wait_for_dispatched_tool_job(ctx.db, &uuid, &ctx.job.workspace_id).await {
Ok(outcome) => outcome,
Err(e) => (
to_raw_value(&serde_json::json!({ "error": { "message": e.to_string() } })),
false,
),
};
return report_tool_result(
ctx,
tool_call,
tool_module,
job_id,
&result,
success,
is_ai_agent_tool && success,
messages,
final_events_str,
let mut tx = tx;
let reserved = if reserved {
let tags = local_tool_tags();
// Reserve a supported first tool before commit so other workers cannot race it.
let claimed = sqlx::query!(
"UPDATE v2_job_queue SET worker = $1, running = true, started_at = now()
WHERE id = $2 AND tag = ANY($3)",
ctx.worker_name,
uuid,
&tags,
)
.await;
}
let tool_job = get_mini_pulled_job(ctx.db, &uuid).await?;
let Some(tool_job) = tool_job else {
return Err(Error::internal_err("Tool job not found".to_string()));
.execute(&mut *tx)
.await?
.rows_affected()
== 1;
if claimed {
sqlx::query!("UPDATE v2_job_runtime SET ping = now() WHERE id = $1", uuid)
.execute(&mut *tx)
.await?;
}
claimed
} else {
false
};
tx.commit().await?;
Ok((uuid, reserved))
}
// The tool gets a token of its own, as it would on any worker: the agent's token would
// identify the tool as the agent job (its OIDC path and job id).
let tool_client = AuthedClient::new(
ctx.base_internal_url.to_string(),
tool_job.workspace_id.clone(),
windmill_queue::create_token(ctx.db, &tool_job, None).await,
None,
);
let tool_job = Arc::new(tool_job);
fn local_tool_tags() -> Vec<String> {
WORKER_CONFIG
.load()
.priority_tags_sorted
.iter()
.flat_map(|group| group.tags.iter().cloned())
.collect()
}
let (inner_job_completed_tx, inner_job_completed_rx) = JobCompletedSender::new(ctx.conn, 1);
let inner_job_completed_rx = inner_job_completed_rx.expect(
"inner_job_completed_tx should be set as agent jobs are not supported on agent workers",
);
fn spawn_local_tool(
ctx: &ToolExecutionContext<'_>,
tool_job: MiniPulledJob,
reserved: bool,
) -> tokio::task::JoinHandle<Result<OccupancyMetrics, Error>> {
let mut tool_job = Arc::new(tool_job);
// Spawn handle_queued_job on separate task to prevent tokio stack overflow
// Clone everything needed for the spawned task
let tool_job_spawn = tool_job.clone();
let db = ctx.db.clone();
let conn_spawn = ctx.conn.clone();
let client_spawn = tool_client;
let hostname_spawn = ctx.hostname.to_string();
let worker_name_spawn = ctx.worker_name.to_string();
let worker_dir_spawn = ctx.worker_dir.to_string();
let base_internal_url_spawn = ctx.base_internal_url.to_string();
let inner_job_completed_tx_spawn = inner_job_completed_tx.clone();
let job_completed_tx = ctx.job_completed_tx.clone();
let mut occupancy_metrics_spawn = ctx.occupancy_metrics.clone();
let mut killpill_rx_spawn = ctx.killpill_rx.resubscribe();
@@ -652,147 +663,270 @@ async fn execute_windmill_tool(
#[cfg(feature = "benchmark")]
let mut bench_spawn = windmill_common::bench::BenchmarkIter::new();
let job_dir = create_job_dir(&worker_dir_spawn, tool_job_spawn.id).await;
let result = async {
if reserved {
loop {
let queued = get_mini_pulled_job(&db, &tool_job.id)
.await?
.ok_or_else(|| Error::AlreadyCompleted("Tool job already completed".to_string()))?;
tool_job = Arc::new(queued);
sqlx::query!(
"UPDATE v2_job_runtime SET ping = now() WHERE id = $1",
tool_job.id,
)
.execute(&db)
.await?;
if try_admit_owned_job(&db, &tool_job).await? {
let started_at = sqlx::query_scalar!(
"UPDATE v2_job_queue SET started_at = now() WHERE id = $1 RETURNING started_at",
tool_job.id,
)
.fetch_optional(&db)
.await?
.flatten();
Arc::make_mut(&mut tool_job).started_at = started_at;
break;
}
tokio::time::sleep(Duration::from_secs(1)).await;
}
}
let perms =
windmill_common::auth::get_job_perms(&db, &tool_job.id, &tool_job.workspace_id).await?;
let token = windmill_queue::create_token(&db, &tool_job, perms).await;
let client_spawn = AuthedClient::new(
base_internal_url_spawn.clone(),
tool_job.workspace_id.clone(),
token,
None,
);
let job_dir = create_job_dir(&worker_dir_spawn, tool_job.id).await;
let result = handle_queued_job(
tool_job_spawn,
None,
None,
None,
None,
&conn_spawn,
&client_spawn,
&hostname_spawn,
&worker_name_spawn,
&worker_dir_spawn,
&job_dir,
None,
&base_internal_url_spawn,
inner_job_completed_tx_spawn,
&mut occupancy_metrics_spawn,
&mut killpill_rx_spawn,
None,
None,
#[cfg(feature = "benchmark")]
&mut bench_spawn,
)
handle_queued_job(
tool_job.clone(),
None,
None,
None,
None,
&conn_spawn,
&client_spawn,
&hostname_spawn,
&worker_name_spawn,
&worker_dir_spawn,
&job_dir,
None,
&base_internal_url_spawn,
job_completed_tx,
&mut occupancy_metrics_spawn,
&mut killpill_rx_spawn,
None,
None,
#[cfg(feature = "benchmark")]
&mut bench_spawn,
)
.await
}
.await;
// Return both result and updated metrics
(result, occupancy_metrics_spawn)
match result {
Err(err) => {
let err_string = format!("{}: {}", err.name(), err);
handle_non_flow_job_error(
&db,
&MiniCompletedJob::from(tool_job),
0,
None,
err_string,
windmill_common::worker::error_to_value(&err),
&worker_name_spawn,
)
.await?;
}
Ok(_) => {}
}
Ok(occupancy_metrics_spawn)
});
// Register abort handle so the task can be killed on force-cancel
let abort_handle = join_handle.abort_handle();
// unwrap safe: lock is only held briefly for push/drain, no panic possible inside
ctx.tool_abort_handles.lock().unwrap().push(abort_handle);
// Await the spawned task
let (handle_result, updated_occupancy) = join_handle.await.map_err(|e| {
if e.is_cancelled() {
Error::ExecutionErr("Tool execution task was cancelled".to_string())
} else {
Error::internal_err(format!("Tool execution task failed: {}", e))
}
})?;
// Merge occupancy metrics back
ctx.occupancy_metrics.total_duration_of_running_jobs =
updated_occupancy.total_duration_of_running_jobs;
match handle_result {
Err(err) => {
handle_tool_execution_error(
ctx,
tool_call,
tool_module,
&MiniCompletedJob::from(tool_job),
job_id,
err,
messages,
final_events_str,
)
.await?;
}
Ok(outcome) => {
handle_tool_execution_success(
ctx,
tool_call,
tool_module,
job_id,
outcome.is_success(),
is_ai_agent_tool,
inner_job_completed_rx,
messages,
final_events_str,
)
.await?;
}
}
Ok(())
join_handle
}
/// Handle tool execution error
async fn handle_tool_execution_error(
async fn execute_windmill_tools(
ctx: &mut ToolExecutionContext<'_>,
tool_call: &OpenAIToolCall,
tool_module: &windmill_common::flows::FlowModule,
tool_job: &MiniCompletedJob,
job_id: Uuid,
err: Error,
batch: &[(&OpenAIToolCall, &Tool)],
actions: &mut Vec<AgentAction>,
messages: &mut Vec<OpenAIMessage>,
final_events_str: &mut String,
) -> Result<(), Error> {
let err_string = format!("{}: {}", err.name(), err.to_string());
let err_json = windmill_common::worker::error_to_value(&err);
let _ = handle_non_flow_job_error(
ctx.db,
tool_job,
0,
None,
err_string.clone(),
err_json,
ctx.worker_name,
)
.await;
let error_message = format!("Error running tool: {}", err_string);
messages.push(OpenAIMessage {
role: "tool".to_string(),
content: Some(OpenAIContent::Text(error_message.clone())),
tool_call_id: Some(tool_call.id.clone()),
agent_action: Some(AgentAction::ToolCall {
job_id,
function_name: tool_call.function.name.clone(),
module_id: tool_module.id.clone(),
}),
..Default::default()
});
// Stream tool result (error case)
if let Some(stream_event_processor) = ctx.stream_event_processor {
let tool_result_event = StreamingEvent::ToolResult {
call_id: tool_call.id.clone(),
function_name: tool_call.function.name.clone(),
result: error_message.clone(),
success: false,
};
stream_event_processor
.send(tool_result_event, final_events_str)
.await?;
let mut job_ids = Vec::with_capacity(batch.len());
let mut local = None;
for (index, (call, tool)) in batch.iter().enumerate() {
if index > 0 {
if let Some(processor) = ctx.stream_event_processor {
processor
.send(
StreamingEvent::ToolExecution {
call_id: call.id.clone(),
function_name: call.function.name.clone(),
},
final_events_str,
)
.await?;
}
}
let (id, reserved) = enqueue_windmill_tool(ctx, call, tool, actions, index == 0).await?;
job_ids.push(id);
if reserved {
let job = get_mini_pulled_job(ctx.db, &id)
.await?
.ok_or_else(|| Error::internal_err("Reserved tool job not found".to_string()))?;
local = Some(spawn_local_tool(ctx, job, true));
}
}
if let Some(parent_job) = ctx.parent_job {
update_flow_status_module_with_actions_success(ctx.db, parent_job, false).await?;
let mut results: HashMap<Uuid, (bool, String)> = HashMap::new();
let mut next_result = 0;
let mut poll = tokio::time::interval(Duration::from_millis(100));
poll.set_missed_tick_behavior(tokio::time::MissedTickBehavior::Skip);
while next_result < batch.len() || local.is_some() {
tokio::select! {
result = async { local.as_mut().unwrap().await }, if local.is_some() => {
local = None;
let metrics = result.map_err(|e| Error::internal_err(format!("Tool task failed: {e}")))??;
ctx.occupancy_metrics.total_duration_of_running_jobs = metrics.total_duration_of_running_jobs;
ctx.tool_abort_handles.lock().unwrap().retain(|handle| !handle.is_finished());
}
_ = poll.tick() => {}
}
let pending: Vec<Uuid> = job_ids[next_result..]
.iter()
.filter(|id| !results.contains_key(id))
.copied()
.collect();
if !pending.is_empty() {
let completed = sqlx::query!(
"SELECT id, status = 'success' AS \"success!\", result AS \"result: Json<Box<RawValue>>\"
FROM v2_job_completed WHERE workspace_id = $1 AND id = ANY($2)",
ctx.job.workspace_id,
&pending,
).fetch_all(ctx.db).await?;
for completed in completed {
let index = job_ids
.iter()
.position(|id| *id == completed.id)
.ok_or_else(|| Error::internal_err("Unexpected tool completion".to_string()))?;
let (call, tool) = batch[index];
let result = completed
.result
.map(|value| value.0)
.unwrap_or_else(|| to_raw_value(&serde_json::Value::Null));
let is_agent = tool.module.as_ref().is_some_and(|module| {
matches!(module.get_value(), Ok(FlowModuleValue::AIAgent { .. }))
});
let content = if is_agent && completed.success {
extract_ai_agent_output(&result).unwrap_or_else(|| result.get().to_string())
} else {
result.get().to_string()
};
if let Some(processor) = ctx.stream_event_processor {
processor
.send(
StreamingEvent::ToolResult {
call_id: call.id.clone(),
function_name: call.function.name.clone(),
result: content.clone(),
success: completed.success,
},
final_events_str,
)
.await?;
}
results.insert(completed.id, (completed.success, content));
}
}
// Transcript rows, model messages, and positional action statuses share call order.
while next_result < batch.len() {
let job_id = job_ids[next_result];
let Some((success, content)) = results.remove(&job_id) else {
break;
};
let (call, tool) = batch[next_result];
let module = tool
.module
.as_ref()
.ok_or_else(|| Error::internal_err("Windmill tool has no module".to_string()))?;
messages.push(OpenAIMessage {
role: "tool".to_string(),
content: Some(OpenAIContent::Text(content.clone())),
tool_call_id: Some(call.id.clone()),
agent_action: Some(AgentAction::ToolCall {
job_id,
function_name: call.function.name.clone(),
module_id: module.id.clone(),
}),
..Default::default()
});
if let Some(parent) = ctx.parent_job {
update_flow_status_module_with_actions_success(ctx.db, parent, success).await?;
}
let (content, extras) = windmill_tool_row(call, success, &content);
add_tool_message_to_chat(ctx, Some(job_id), &content, success, Some(extras)).await;
next_result += 1;
}
if local.is_none() && next_result < batch.len() {
let pending: Vec<Uuid> = job_ids[next_result..]
.iter()
.filter(|id| !results.contains_key(id))
.copied()
.collect();
if !pending.is_empty() {
local = claim_local_tool(ctx, &pending).await?;
}
}
}
let (content, extras) = windmill_tool_row(tool_call, false, &error_message);
add_tool_message_to_chat(ctx, Some(job_id), &content, false, Some(extras)).await;
Ok(())
}
async fn claim_local_tool(
ctx: &ToolExecutionContext<'_>,
pending: &[Uuid],
) -> Result<Option<tokio::task::JoinHandle<Result<OccupancyMetrics, Error>>>, Error> {
let query = (
String::new(),
make_tool_job_pull_query(pending, &local_tool_tags()),
);
#[cfg(feature = "benchmark")]
let mut bench = windmill_common::bench::BenchmarkIter::new();
let mut pulled = pull(
ctx.db,
false,
ctx.worker_name,
Some(&query),
#[cfg(feature = "benchmark")]
&mut bench,
)
.await?;
if let Err(err) = pulled.maybe_apply_debouncing(ctx.db).await {
pulled.error_while_preprocessing = Some(err.to_string());
}
match pulled.to_pulled_job() {
Ok(job) => Ok(job.map(|job| spawn_local_tool(ctx, job.job, false))),
Err(
windmill_queue::PulledJobResultToJobErr::MissingConcurrencyKey(job)
| windmill_queue::PulledJobResultToJobErr::ErrorWhilePreprocessing(job),
) => {
ctx.job_completed_tx.send_job(job, true).await?;
Ok(None)
}
}
}
/// Extract the `output` field of an `AIAgentResult` envelope, serialized back to JSON.
/// Returns `None` if the result is not a JSON object carrying an `output` field.
fn extract_ai_agent_output(result: &RawValue) -> Option<String> {
@@ -802,200 +936,6 @@ fn extract_ai_agent_output(result: &RawValue) -> Option<String> {
.map(|output| output.get().to_string())
}
/// Handle tool execution success
async fn handle_tool_execution_success(
ctx: &mut ToolExecutionContext<'_>,
tool_call: &OpenAIToolCall,
tool_module: &windmill_common::flows::FlowModule,
job_id: Uuid,
success: bool,
is_ai_agent_tool: bool,
inner_job_completed_rx: JobCompletedReceiver,
messages: &mut Vec<OpenAIMessage>,
final_events_str: &mut String,
) -> Result<(), Error> {
let send_result = inner_job_completed_rx.bounded_rx.try_recv().ok();
let (result, job_success) = if let Some(SendResult {
result: SendResultPayload::JobCompleted(ref jc),
..
}) = send_result
{
let result = jc.result.clone();
// Write tool completion to the DB inline instead of forwarding through
// the parent channel. Forwarding would deadlock for nested agents: the
// sub-tool result would fill the parent's bounded(1) channel, leaving
// no room for the agent's own completion from process_result.
if jc.success {
add_completed_job(
ctx.db,
&jc.job,
true,
false,
sqlx::types::Json(&*jc.result),
jc.result_columns.clone(),
jc.mem_peak,
jc.canceled_by.clone(),
false,
jc.duration,
jc.from_cache.unwrap_or(false),
)
.await
.map_err(|e| Error::internal_err(format!("Failed to add completed job: {e}")))?;
} else {
let error_value: serde_json::Value =
serde_json::from_str(jc.result.get()).unwrap_or_else(|_| {
serde_json::json!({ "message": format!("Non serializable error: {}", jc.result.get()) })
});
add_completed_job_error(
ctx.db,
&jc.job,
jc.mem_peak,
jc.canceled_by.clone(),
error_value,
ctx.worker_name,
false,
jc.duration,
)
.await
.map_err(|e| Error::internal_err(format!("Failed to add completed job error: {e}")))?;
}
(result, jc.success)
} else {
return Err(Error::internal_err(
"Tool job completed but no result".to_string(),
));
};
report_tool_result(
ctx,
tool_call,
tool_module,
job_id,
&result,
success,
is_ai_agent_tool && job_success,
messages,
final_events_str,
)
.await
}
/// Wait for a tool job another worker runs; returns its result and whether it succeeded.
/// Canceling the agent cancels this job along with it, as a child of the agent's job.
async fn wait_for_dispatched_tool_job(
db: &DB,
id: &Uuid,
w_id: &str,
) -> Result<(Box<RawValue>, bool), Error> {
const MAX_CONSECUTIVE_POLL_ERRORS: u32 = 10;
let mut interval = std::time::Duration::from_millis(50);
let mut poll_errors = 0;
loop {
// One statement reads both tables from one snapshot, so a job completing between two
// reads cannot look like one that vanished.
let state = match sqlx::query!(
"SELECT c.id IS NOT NULL AS \"completed!\",
c.result AS \"result: sqlx::types::Json<Box<RawValue>>\",
c.status = 'success' AS \"success\",
EXISTS(SELECT 1 FROM v2_job_queue WHERE id = $1) AS \"queued!\"
FROM (SELECT 1) one
LEFT JOIN v2_job_completed c ON c.id = $1 AND c.workspace_id = $2",
id,
w_id
)
.fetch_one(db)
.await
{
Ok(state) => {
poll_errors = 0;
state
}
Err(e) if poll_errors < MAX_CONSECUTIVE_POLL_ERRORS => {
poll_errors += 1;
tracing::warn!("polling tool job {id} failed, retrying: {e}");
tokio::time::sleep(std::time::Duration::from_secs(1)).await;
continue;
}
Err(e) => return Err(e.into()),
};
if state.completed {
let result = state
.result
.map(|r| r.0)
.unwrap_or_else(|| to_raw_value(&serde_json::Value::Null));
return Ok((result, state.success.unwrap_or(false)));
}
if !state.queued {
return Err(Error::internal_err(format!(
"tool job {id} is neither queued nor completed"
)));
}
tokio::time::sleep(interval).await;
interval = std::cmp::min(interval * 2, std::time::Duration::from_secs(1));
}
}
/// Hand a finished tool job's result to the model, the stream, the flow status and the chat.
async fn report_tool_result(
ctx: &mut ToolExecutionContext<'_>,
tool_call: &OpenAIToolCall,
tool_module: &windmill_common::flows::FlowModule,
job_id: Uuid,
result: &RawValue,
success: bool,
is_ai_agent_output: bool,
messages: &mut Vec<OpenAIMessage>,
final_events_str: &mut String,
) -> Result<(), Error> {
// A nested agent returns the whole `AIAgentResult` envelope: on top of `output` it carries
// the child's entire message history, stream log and token usage. Feeding that back would
// grow the caller's context by the child's full transcript on every call, so the caller only
// sees `output`. The envelope stays intact in the tool job's completed row.
let tool_result = if is_ai_agent_output {
extract_ai_agent_output(result).unwrap_or_else(|| result.get().to_string())
} else {
result.get().to_string()
};
messages.push(OpenAIMessage {
role: "tool".to_string(),
content: Some(OpenAIContent::Text(tool_result.clone())),
tool_call_id: Some(tool_call.id.clone()),
agent_action: Some(AgentAction::ToolCall {
job_id,
function_name: tool_call.function.name.clone(),
module_id: tool_module.id.clone(),
}),
..Default::default()
});
let (content, extras) = windmill_tool_row(tool_call, success, &tool_result);
// The job ran; whether it ran successfully is `success`, and the row stored below is
// worded from it. The stream has to carry the same value, or the card the reader watches
// and the row that replaces it describe the same call differently.
if let Some(stream_event_processor) = ctx.stream_event_processor {
let tool_result_event = StreamingEvent::ToolResult {
call_id: tool_call.id.clone(),
function_name: tool_call.function.name.clone(),
result: tool_result,
success,
};
stream_event_processor
.send(tool_result_event, final_events_str)
.await?;
}
if let Some(parent_job) = ctx.parent_job {
update_flow_status_module_with_actions_success(ctx.db, parent_job, success).await?;
}
add_tool_message_to_chat(ctx, Some(job_id), &content, success, Some(extras)).await;
Ok(())
}
/// A Windmill tool's conversation row: worded from the tool, carrying the model's call and
/// the exact text the model got back, the same text agent memory keeps for that tool
/// message, so a card needs no job fetch. The call is the model's arguments, not the job's
@@ -1060,9 +1000,7 @@ async fn add_tool_message_to_chat(
.or(ctx.job.flow_step_id.as_deref());
let step_name = get_step_name_from_flow(ctx.summary.as_deref(), effective_step_id);
// Awaited, not spawned: `created_seq` is the transcript's order, so a round's rows
// must commit in the order of its calls. Calls run one after another; running them
// in parallel would need their rows written in call order all the same.
// created_seq defines transcript order, so these writes must stay sequential.
if let Err(e) = add_message_to_conversation(
ctx.db,
&memory_id,
+48 -42
View File
@@ -607,6 +607,7 @@ pub async fn handle_ai_agent_job(
hostname: &str,
killpill_rx: &mut tokio::sync::broadcast::Receiver<()>,
has_stream: &mut bool,
job_completed_tx: crate::JobCompletedSender,
) -> Result<Box<RawValue>, Error> {
// build_args_map returns None if no $res:/$var: transforms needed, in which case use original args
let local_args = match build_args_map(job, client, conn).await? {
@@ -686,6 +687,7 @@ pub async fn handle_ai_agent_job(
};
let value = flow_data.value();
let preserve_step_tags = value.preserve_step_tags;
let module = if direct_parent_job_kind == JobKind::AIAgent {
let parent_agent_step_id = direct_parent_job_flow_step_id.as_deref().ok_or_else(|| {
@@ -1111,8 +1113,10 @@ pub async fn handle_ai_agent_job(
has_stream,
has_websearch,
omit_output_from_conversation,
preserve_step_tags,
cancel_rx,
tool_abort_handles.clone(),
job_completed_tx,
);
let mut occupancy_opt = Some(occupancy_metrics);
@@ -1131,13 +1135,10 @@ pub async fn handle_ai_agent_job(
cancel_tx,
CANCEL_GRACE_PERIOD,
)
.await?
.await
};
// agent_fut and update_job are now dropped — borrows on mcp_clients and canceled_by released
// Cleanup MCP clients
cleanup_mcp_clients(mcp_clients).await;
let format_cancel_info = |cb: &Option<CanceledBy>| {
cb.as_ref()
.map_or(("unknown".to_string(), "unknown".to_string()), |x| {
@@ -1148,43 +1149,42 @@ pub async fn handle_ai_agent_job(
})
};
match outcome {
GracefulPollOutcome::Ok(result) => Ok(result),
GracefulPollOutcome::Timeout(ms) => {
tracing::error!("AI agent timeout after {}s", ms / 1000);
// A tool dispatched to another worker group would otherwise still run later, after
// the agent that wanted its result is gone.
let reason = format!("parent AI agent {} timed out", job.id);
let cb = CanceledBy { username: None, reason: Some(reason) };
cleanup_orphaned_tool_jobs(db, &job.id, &job.workspace_id, Some(cb)).await;
Err(Error::ExecutionErr(format!(
"AI agent timeout after (>{}s)",
ms / 1000
)))
}
GracefulPollOutcome::Cancelled { canceled_by: cb } => {
let (by, reason) = format_cancel_info(&cb);
Err(Error::ExecutionErr(format!(
"Job cancelled by {by} (reason: {reason})"
)))
}
GracefulPollOutcome::CancelledTimeout { canceled_by: cb } => {
let (by, reason) = format_cancel_info(&cb);
// Abort any still-running spawned tool tasks
// unwrap safe: lock is only held briefly for push/drain, no panic possible inside
for handle in tool_abort_handles.lock().unwrap().drain(..) {
handle.abort();
let result = match outcome {
Err(error) => Err(error),
Ok(outcome) => match outcome {
GracefulPollOutcome::Ok(result) => Ok(result),
GracefulPollOutcome::Timeout(ms) => {
tracing::error!("AI agent timeout after {}s", ms / 1000);
Err(Error::ExecutionErr(format!(
"AI agent timeout after (>{}s)",
ms / 1000
)))
}
// Hard timeout: clean up orphaned jobs still stuck in v2_job_queue
cleanup_orphaned_tool_jobs(db, &job.id, &job.workspace_id, cb).await;
Err(Error::ExecutionErr(format!(
"Job cancelled by {by} (reason: {reason}, timed out waiting for tool calls)"
)))
}
GracefulPollOutcome::AlreadyCompleted => {
Err(Error::AlreadyCompleted("Job already completed".to_string()))
GracefulPollOutcome::Cancelled { canceled_by: cb } => {
let (by, reason) = format_cancel_info(&cb);
Err(Error::ExecutionErr(format!(
"Job cancelled by {by} (reason: {reason})"
)))
}
GracefulPollOutcome::CancelledTimeout { canceled_by: cb } => {
let (by, reason) = format_cancel_info(&cb);
Err(Error::ExecutionErr(format!(
"Job cancelled by {by} (reason: {reason}, timed out waiting for tool calls)"
)))
}
GracefulPollOutcome::AlreadyCompleted => {
Err(Error::AlreadyCompleted("Job already completed".to_string()))
}
},
};
if result.is_err() {
for handle in tool_abort_handles.lock().unwrap().drain(..) {
handle.abort();
}
cleanup_orphaned_tool_jobs(db, &job.id, &job.workspace_id, canceled_by.clone()).await;
}
cleanup_mcp_clients(mcp_clients).await;
result
}
/// OpenAI rejects a `prompt_cache_key` over 64 characters
@@ -1231,12 +1231,14 @@ pub async fn run_agent(
has_stream: &mut bool,
has_websearch: bool,
omit_output_from_conversation: bool,
preserve_step_tags: bool,
// cancellation signal from parent
cancel_rx: tokio::sync::watch::Receiver<bool>,
// abort handles for spawned tool tasks
tool_abort_handles: ToolAbortHandles,
job_completed_tx: crate::JobCompletedSender,
) -> error::Result<Box<RawValue>> {
let output_type = args.output_type.as_ref().unwrap_or(&OutputType::Text);
let credentials = args.provider.to_provider_credentials(db).await?;
@@ -2105,6 +2107,7 @@ pub async fn run_agent(
stream_event_processor: stream_event_processor.as_ref(),
flow_context: &mut flow_context,
omit_output_from_conversation,
preserve_step_tags,
reasoning: if structured_output_first {
None
} else {
@@ -2113,6 +2116,7 @@ pub async fn run_agent(
previous_result: &previous_result,
id_context: &id_context,
tool_abort_handles: tool_abort_handles.clone(),
job_completed_tx: job_completed_tx.clone(),
};
let (tool_messages, tool_content, tool_used_structured_output) =
@@ -3093,11 +3097,13 @@ async fn cleanup_orphaned_tool_jobs(
)
});
// Find direct child jobs still in v2_job_queue (agent tool jobs are always direct children)
let orphaned_ids: Vec<Uuid> = match sqlx::query_scalar!(
r#"SELECT j.id FROM v2_job j
JOIN v2_job_queue q ON q.id = j.id
WHERE j.parent_job = $1 AND j.workspace_id = $2"#,
r#"WITH RECURSIVE descendants AS (
SELECT id FROM v2_job WHERE parent_job = $1 AND workspace_id = $2
UNION ALL
SELECT j.id FROM v2_job j JOIN descendants d ON j.parent_job = d.id
WHERE j.workspace_id = $2
) SELECT d.id AS "id!" FROM descendants d JOIN v2_job_queue q ON q.id = d.id"#,
parent_job_id,
w_id,
)
@@ -2969,7 +2969,7 @@ mod tests {
assert!(
attach.starts_with(&format!(
"ATTACH 'sslmode=verify-full sslrootcert=''{}''",
root
root.replace('\\', "\\\\")
)),
"{attach}"
);
+37 -8
View File
@@ -828,7 +828,7 @@ pub async fn handle_python_job(
for k, v in list(pre_args.items()):
if v == '<function call>':
del pre_args[k]
kwargs = inner_script.preprocessor(**pre_args)
kwargs = _await(inner_script.preprocessor(**pre_args))
kwrags_json = res_to_json(kwargs, type(kwargs))
with open("args.json", 'w', encoding="utf-8") as f:
f.write(kwrags_json)"#
@@ -969,6 +969,8 @@ result_json = os.path.join(os.path.abspath(os.path.dirname(__file__)), "result.j
def res_to_json(res, typ):
{res_to_json_body}
{PY_AWAIT_HELPER}
try:
{preprocessor}
{spread}
@@ -977,7 +979,7 @@ try:
del args[k]
if inner_script.{main_override} is None or not callable(inner_script.{main_override}):
raise ValueError("{main_override} function is missing")
res = inner_script.{main_override}(**args)
res = _await(inner_script.{main_override}(**args))
typ = type(res)
if hasattr(res, '__iter__') and not isinstance(res, (str, dict, list, bytes, tuple, set, frozenset, range, memoryview, bytearray)) and typ.__name__ != 'DataFrame':
for chunk in res:
@@ -1513,6 +1515,8 @@ _fix=lambda s:s if 'Infinity' not in s and 'NaN' not in s and '\\u0000' not in s
def res_to_json(res, typ):
{res_to_json_body}
{PY_AWAIT_HELPER}
{functions}
{registrations}
@@ -1546,11 +1550,11 @@ for line in sys.stdin:
continue
kwargs = json.loads(args_json, strict=False)
pre_args = entry['pre_transform'](kwargs)
preprocessed = mod.preprocessor(**pre_args)
preprocessed = _await(mod.preprocessor(**pre_args))
preprocessed_json = json.dumps(preprocessed, separators=(',', ':'), default=str).replace('\n', '')
sys.stdout.write("wm_res[preprocessed_args]:" + preprocessed_json + "\n")
main_args = entry['transform'](preprocessed if preprocessed else {{}})
res = mod.main(**main_args)
res = _await(mod.main(**main_args))
typ = type(res)
res_json = res_to_json(res, typ)
sys.stdout.write("wm_res[success]:" + res_json + "\n")
@@ -1574,11 +1578,11 @@ for line in sys.stdin:
continue
kwargs = json.loads(args_json, strict=False)
pre_args = entry['pre_transform'](kwargs)
preprocessed = mod.preprocessor(**pre_args)
preprocessed = _await(mod.preprocessor(**pre_args))
preprocessed_json = json.dumps(preprocessed, separators=(',', ':'), default=str).replace('\n', '')
sys.stdout.write("wm_res[preprocessed_args]:" + preprocessed_json + "\n")
main_args = entry['transform'](preprocessed if preprocessed else {{}})
res = mod.main(**main_args)
res = _await(mod.main(**main_args))
typ = type(res)
res_json = res_to_json(res, typ)
sys.stdout.write("wm_res[success]:" + res_json + "\n")
@@ -1596,7 +1600,7 @@ for line in sys.stdin:
entry = next(iter(scripts.values()))
kwargs = json.loads(args_json, strict=False)
args = entry['transform'](kwargs)
res = entry['mod'].main(**args)
res = _await(entry['mod'].main(**args))
typ = type(res)
res_json = res_to_json(res, typ)
sys.stdout.write("wm_res[success]:" + res_json + "\n")
@@ -1624,7 +1628,7 @@ for line in sys.stdin:
kwargs = json.loads(args_json, strict=False)
args = entry['transform'](kwargs)
res = entry['mod'].main(**args)
res = _await(entry['mod'].main(**args))
typ = type(res)
res_json = res_to_json(res, typ)
sys.stdout.write("wm_res[success]:" + res_json + "\n")
@@ -3330,6 +3334,31 @@ This is not normal behavior, please make sure all workers have enough memory.\n
};
}
/// Python helper running what an `async def` main or preprocessor returns.
/// One loop per process: a dedicated worker's module-level async clients and
/// locks are bound to the loop they were first used on, so `asyncio.run`'s
/// loop-per-call would break them from the second job on. A loop the script
/// set while importing (`asyncio.set_event_loop`) is reused. asyncio is
/// imported lazily so sync jobs don't pay its import time.
const PY_AWAIT_HELPER: &str = r#"_loop = None
def _await(r):
global _loop
if not hasattr(r, '__await__'):
return r
import asyncio
if _loop is None or _loop.is_closed():
import warnings
try:
with warnings.catch_warnings():
warnings.simplefilter('ignore', DeprecationWarning)
_loop = asyncio.get_event_loop()
if _loop.is_closed():
raise RuntimeError
except RuntimeError:
_loop = asyncio.new_event_loop()
asyncio.set_event_loop(_loop)
return _loop.run_until_complete(r)"#;
/// Python function body for `res_to_json(res, typ)`.
/// Handles DataFrame, bytes, dict coercion + JSON serialization.
fn python_res_to_json_body(postprocessor: &str) -> String {
+1
View File
@@ -4990,6 +4990,7 @@ pub async fn handle_queued_job(
hostname,
killpill_rx,
&mut has_stream,
job_completed_tx.clone(),
))
.await
}
+1 -1
View File
@@ -3239,7 +3239,7 @@ struct PushNextFlowJobRec {
/// - when the flow opts into `preserve_step_tags` and the child declares its own non-empty tag,
/// that tag is honored instead of being overridden by the flow tag;
/// - otherwise the child inherits the parent flow job's tag.
fn resolve_flow_step_tag(
pub(crate) fn resolve_flow_step_tag(
is_preprocessor_step: bool,
flow_tag: &str,
workspace_id: &str,
+11 -4
View File
@@ -77,6 +77,7 @@ import {
import {
getEffectiveSettings,
inferWsNameFromProfile,
inferWsNameFromForkBranch,
resolveWsNameForConfigFromFlags,
mergeConfigWithConfigFile,
parseSyncBehavior,
@@ -3752,9 +3753,12 @@ export async function pull(
}
}
// If wsNameForConfig wasn't set from flags, infer from the resolved profile
// If wsNameForConfig wasn't set from flags, infer from the resolved profile,
// then (for a fork) from the parent's entry
if (!wsNameForConfig) {
wsNameForConfig = inferWsNameFromProfile(opts, workspace);
wsNameForConfig =
inferWsNameFromProfile(opts, workspace) ??
inferWsNameFromForkBranch(opts, workspace.workspaceId);
}
// Resolve effective sync options with workspace awareness
@@ -4802,9 +4806,12 @@ export async function push(
const workspace = await resolveWorkspace(opts, wsNameForConfig);
await requireLogin(opts);
// If wsNameForConfig wasn't set from flags, infer from the resolved profile
// If wsNameForConfig wasn't set from flags, infer from the resolved profile,
// then (for a fork) from the parent's entry
if (!wsNameForConfig) {
wsNameForConfig = inferWsNameFromProfile(opts, workspace);
wsNameForConfig =
inferWsNameFromProfile(opts, workspace) ??
inferWsNameFromForkBranch(opts, workspace.workspaceId);
}
// Resolve effective sync options with workspace awareness
+25
View File
@@ -5,6 +5,7 @@ import { stringify as yamlStringify } from "yaml";
import {
getCurrentGitBranch,
getOriginalBranchForWorkspaceForks,
getWorkspaceIdForWorkspaceForkFromBranchName,
isGitRepository,
} from "../utils/git.ts";
import { join, dirname, resolve, relative } from "node:path";
@@ -725,6 +726,30 @@ export function inferWsNameFromProfile(
return undefined;
}
/**
* The workspace config entry a fork inherits from its parent: the one bound to
* the base branch of the checked-out `wm-fork/<base>/<id>` branch, when
* `workspaceId` is the fork that branch names. A fork id never has an entry of
* its own, so without this its specific items and file suffix fall back to
* the common/base files and clobber what the fork cloned from its parent.
*/
export function inferWsNameFromForkBranch(
opts: SyncOptions,
workspaceId: string
): string | undefined {
if (!opts.workspaces || !isGitRepository()) return undefined;
const branch = getCurrentGitBranch();
const baseBranch = getOriginalBranchForWorkspaceForks(branch);
if (
!branch ||
!baseBranch ||
getWorkspaceIdForWorkspaceForkFromBranchName(branch) !== workspaceId
) {
return undefined;
}
return findWorkspaceByGitBranch(opts.workspaces, baseBranch)?.[0];
}
/**
* `syncBehavior` as the workspace being pushed to sees it. The top level alone
* misses a `workspaces.<name>.overrides.syncBehavior`, which is where a repo
+40
View File
@@ -0,0 +1,40 @@
import { expect, test } from "bun:test";
import { mkdtemp, rm } from "node:fs/promises";
import { execSync } from "node:child_process";
import os from "node:os";
import path from "node:path";
import { inferWsNameFromForkBranch, type SyncOptions } from "../src/core/conf.ts";
// A fork id never has a wmill.yaml entry of its own. Unless it resolves to its
// parent's entry, a sync on the fork branch pushes the base files over the
// workspace-specific values the fork cloned from its parent.
test("a fork branch resolves to its parent's workspace entry", async () => {
const repoDir = await mkdtemp(path.join(os.tmpdir(), "wmill_fork_specific_"));
const originalCwd = process.cwd();
try {
execSync(
`git init -q -b wm-fork/dev-branch/t1 && git -c user.email=t@t -c user.name=t commit -q --allow-empty -m init`,
{ cwd: repoDir },
);
process.chdir(repoDir);
const config: SyncOptions = {
workspaces: {
dev: {
baseUrl: "http://localhost:8000/",
workspaceId: "dev-ws",
gitBranch: "dev-branch",
specificItems: { folders: ["f/team"] },
},
},
};
expect(inferWsNameFromForkBranch(config, "wm-fork-t1")).toEqual("dev");
// Only the fork the branch names inherits the parent's entry.
expect(inferWsNameFromForkBranch(config, "other-ws")).toBeUndefined();
} finally {
process.chdir(originalCwd);
await rm(repoDir, { recursive: true, force: true });
}
});
+8 -2
View File
@@ -455,6 +455,12 @@ schema:
// SCRIPT WITH MODULES PREVIEW TESTS
// =============================================================================
// Pinned: a release commit runs these tests while the same release publishes a new
// windmill-client, and the worker resolving that version before npm serves it fails the job.
// These are the only CLI tests running task/taskScript/workflow on a real client: bump the pin
// to a published release whenever the WAC client surface changes.
const WINDMILL_CLIENT = "windmill-client@1.819.0";
test("script preview: script with modules (taskScript pattern)", async () => {
await withTestBackend(async (backend, tempDir) => {
await createWmillConfig(tempDir, { defaultTs: "bun" });
@@ -463,7 +469,7 @@ test("script preview: script with modules (taskScript pattern)", async () => {
await createScript(
tempDir,
"f/test/wac_script.ts",
`import { task, taskScript, workflow } from "windmill-client";
`import { task, taskScript, workflow } from "${WINDMILL_CLIENT}";
const helper = taskScript("./helper.ts");
@@ -512,7 +518,7 @@ test("script preview: script with modules (folder layout)", async () => {
// Entry point script
await writeFile(
`${modDir}/script.ts`,
`import { task, taskScript, workflow } from "windmill-client";
`import { task, taskScript, workflow } from "${WINDMILL_CLIENT}";
const helper = taskScript("./helper.ts");
+1 -2
View File
@@ -61,8 +61,7 @@ root.render(<App/>);
const PACKAGE_JSON = `{
"dependencies": {
"react": "19.0.0",
"react-dom": "19.0.0",
"windmill-client": "^1"
"react-dom": "19.0.0"
},
"devDependencies": {
"@types/react-dom": "^19.0.0",
@@ -123,7 +123,13 @@
</script>
<InitializeComponent {id} />
<div class="w-full h-full overflow-auto {customComponent?.name ?? 'no_name'}">
<!-- The host stays mounted so the renderer can attach, but the user's code draws regardless of
render: hide it, or a not-yet-rendered component lands in its parent's layout flow. Inline so
CSS the bundle puts on its root class cannot override it. -->
<div
class="w-full h-full overflow-auto {customComponent?.name ?? 'no_name'}"
style:display={render ? undefined : 'none'}
>
<RunnableWrapper {outputs} render autoRefresh {componentInput} {id} bind:result>
{#if !loaded && render}
<Loader2 class="animate-spin" />
@@ -208,9 +208,12 @@
// Keyed by call id: a bare flag would carry one card's collapse onto the next message
// reusing this instance. Open by default, since the run is what was asked for —
// except for an inspection, which is usually a step in the reasoning rather than
// the answer, and which pays a fetch for being opened.
// the answer, and which pays a fetch for being opened. A run cancelled before it started
// is closed too: the row already says Cancelled, and there is no run to show.
let toggled = $state<{ id: string; open: boolean } | undefined>(undefined)
const expanded = $derived(toggled?.id === message.tool_call_id ? toggled.open : !inspected)
const expanded = $derived(
toggled?.id === message.tool_call_id ? toggled.open : !inspected && (ran || !canceled)
)
$effect(() => {
const target = inspected
+20 -2
View File
@@ -22,6 +22,8 @@ import {
} from './modelConfig'
import {
applyReasoningToConfig,
completionsRejectsToolsWithReasoning,
explicitOffToken,
requestsReasoning,
stripLegacyThinkingSuffix,
type ReasoningEffort
@@ -69,6 +71,9 @@ interface AIProviderDetails {
// the frontier model. The gpt-5 family is deprecated (retires 2026-12-11) but
// still served, so it stays in the list below the 5.6 models.
const OPENAI_MODELS = [
'gpt-6-sol',
'gpt-6-astra',
'gpt-6-luna',
'gpt-5.6-terra',
'gpt-5.6-sol',
'gpt-5.6-luna',
@@ -87,7 +92,14 @@ export const AI_PROVIDERS: Record<AIProvider, AIProviderDetails> = {
},
anthropic: {
label: 'Anthropic',
defaultModels: ['claude-sonnet-5', 'claude-opus-5', 'claude-opus-4-8', 'claude-haiku-4-5']
defaultModels: [
'claude-sonnet-5-5',
'claude-opus-5-5',
'claude-sonnet-5',
'claude-opus-5',
'claude-opus-4-8',
'claude-haiku-4-5'
]
},
googleai: {
label: 'Google AI',
@@ -1160,6 +1172,12 @@ export async function getCompletion(
// Use Completions API for other providers
const client = options?.openaiClient ?? workspaceAIClients.getOpenaiClient()
// gpt-5.5+ refuse function tools here unless reasoning is off, so the Responses API
// fallback turns it off where the model can rather than failing the turn.
const reasoningEffort =
tools?.length && completionsRejectsToolsWithReasoning(provider, modelProvider.model)
? (explicitOffToken(provider, modelProvider.model) ?? options?.reasoningEffort)
: options?.reasoningEffort
const completionConfig = applyReasoningToConfig(
config.stream && STREAM_USAGE_PROVIDERS.has(provider)
? {
@@ -1175,7 +1193,7 @@ export async function getCompletion(
}
: config,
provider === 'deepseek' ? 'deepseek' : provider === 'mistral' ? 'mistral' : 'completions',
options?.reasoningEffort
reasoningEffort
)
const completion = client.chat.completions.create(completionConfig, {
signal: abortController.signal,
@@ -21,6 +21,13 @@ describe('workspace context window overrides', () => {
expect(getConfiguredModelContextWindow('openai', 'qwen-local', overrides)).toBeUndefined()
expect(getEffectiveModelContextWindow('openai', 'qwen-local', overrides)).toBe(128_000)
})
it('knows the gpt-6 and Claude 5.5 windows, so they do not compact at the assumed one', () => {
expect(getConfiguredModelContextWindow('openai', 'gpt-6-sol', undefined)).toBe(1_050_000)
expect(getConfiguredModelContextWindow('anthropic', 'claude-sonnet-5-5', undefined)).toBe(
1_000_000
)
})
})
describe('usesAnthropicMessagesApi', () => {
@@ -58,7 +58,7 @@ export function usesOpenRouterPromptCaching(provider: AIProvider, model: string)
// so it does not catch unrelated ids like Mistral's "open-mistral-*" or "optimus-*".
export function requiresMaxCompletionTokens(model: string) {
const baseModel = parseModelId(model).base
return baseModel.startsWith('gpt-5') || /^o\d/.test(baseModel)
return Number(/^gpt-(\d)(?:[.-]|$)/.exec(baseModel)?.[1] ?? 0) >= 5 || /^o\d/.test(baseModel)
}
// Context windows of the models we know, most specific entry first — the first
@@ -87,6 +87,7 @@ const MODEL_CONTEXT_WINDOWS: [name: string, contextWindow: number][] = [
['claude', 200_000],
// OpenAI — gpt-5 covers the base family (-mini / -nano) and the 5.1/5.2
// revisions, all 400K; 5.4/5.5 moved to 1M and 5.6 to 1.05M
['gpt-6', 1_050_000],
['gpt-5.6', 1_050_000],
['gpt-5.5', 1_000_000],
['gpt-5.4', 1_000_000],
@@ -140,6 +141,7 @@ const MODEL_MAX_OUTPUT_TOKENS: [name: string, maxOutputTokens: number][] = [
['claude-fable', 64_000],
['claude-mythos', 64_000],
// OpenAI
['gpt-6', 128_000],
['gpt-5', 128_000],
['gpt-4.1', 32_768],
['gpt-4o', 16_384],
@@ -35,6 +35,16 @@ describe('resolveModelPrice', () => {
expect(resolveModelPrice('googleai', 'gemini-3.7-flash', undefined)).toBeUndefined()
})
it('prices Claude 5.5 flat and leaves the tiered gpt-6 unpriced', () => {
expect(resolveModelPrice('anthropic', 'claude-opus-5-5', undefined)?.price).toMatchObject({
input: 4,
output: 20,
cacheRead: 0.2
})
expect(resolveModelPrice('anthropic', 'claude-sonnet-5-5', undefined)?.price.input).toBe(2)
expect(resolveModelPrice('openai', 'gpt-6-sol', undefined)).toBeUndefined()
})
it('reports an unknown model as unpriced rather than guessing', () => {
expect(resolveModelPrice('customai', 'some-in-house-model', undefined)).toBeUndefined()
})
@@ -69,6 +69,8 @@ const MODEL_PRICES: [name: string, price: PriceEntry | null][] = [
// fallback sits below the explicit entries rather than covering them.
['claude-fable-5', { input: 10, output: 50 }],
['claude-mythos-5', { input: 10, output: 50 }],
['claude-opus-5-5', { input: 4, output: 20, cacheRead: 0.2 }],
['claude-sonnet-5-5', { input: 2, output: 10, cacheRead: 0.2 }],
['claude-opus-5', { input: 5, output: 25 }],
['claude-opus-4-8', { input: 5, output: 25 }],
['claude-opus-4-7', { input: 5, output: 25 }],
@@ -98,6 +100,9 @@ const MODEL_PRICES: [name: string, price: PriceEntry | null][] = [
// Revisions past gpt-5 are priced separately by OpenAI and are not tracked here.
// The matcher's revision guard already keeps them off the family rate; these
// entries stay so a revision the guard admits still resolves to no rate.
// gpt-6 bills the whole request at a higher rate above 272K input tokens, which a
// per-model rate cannot express.
['gpt-6', null],
['gpt-5.6', null],
['gpt-5.5', null],
['gpt-5.4', null],
@@ -0,0 +1,84 @@
[
{
"provider": "anthropic",
"model": "claude-sonnet-5-5",
"canDisable": false,
"completionsToolsNeedOff": false
},
{
"provider": "anthropic",
"model": "claude-opus-5-5",
"canDisable": false,
"completionsToolsNeedOff": false
},
{
"provider": "anthropic",
"model": "claude-fable-5",
"canDisable": false,
"completionsToolsNeedOff": false
},
{
"provider": "aws_bedrock",
"model": "global.anthropic.claude-opus-5-5-v1:0",
"canDisable": false,
"completionsToolsNeedOff": false
},
{
"provider": "anthropic",
"model": "claude-sonnet-5",
"canDisable": true,
"completionsToolsNeedOff": false
},
{
"provider": "anthropic",
"model": "claude-opus-5-20260101",
"canDisable": true,
"completionsToolsNeedOff": false
},
{
"provider": "anthropic",
"model": "claude-opus-4-8",
"canDisable": true,
"completionsToolsNeedOff": false
},
{
"provider": "openai",
"model": "gpt-6-astra",
"canDisable": false,
"completionsToolsNeedOff": true
},
{
"provider": "openai",
"model": "gpt-6-sol",
"canDisable": true,
"completionsToolsNeedOff": true
},
{
"provider": "azure_openai",
"model": "gpt-6-luna",
"canDisable": true,
"completionsToolsNeedOff": true
},
{
"provider": "openai",
"model": "gpt-5.6-sol",
"canDisable": true,
"completionsToolsNeedOff": true
},
{ "provider": "openai", "model": "gpt-5.5", "canDisable": true, "completionsToolsNeedOff": true },
{ "provider": "openai", "model": "gpt-5.7", "canDisable": true, "completionsToolsNeedOff": true },
{
"provider": "openai",
"model": "gpt-5.1",
"canDisable": true,
"completionsToolsNeedOff": false
},
{ "provider": "openai", "model": "gpt-5", "canDisable": false, "completionsToolsNeedOff": false },
{
"provider": "openai",
"model": "gpt-5-mini",
"canDisable": false,
"completionsToolsNeedOff": false
},
{ "provider": "openai", "model": "o3", "canDisable": false, "completionsToolsNeedOff": false }
]
@@ -1,6 +1,8 @@
import { describe, expect, it } from 'vitest'
import {
applyReasoningToConfig,
completionsRejectsToolsWithReasoning,
explicitOffToken,
getReasoningCapability,
REASONING_OFF,
resolveEffectiveReasoning,
@@ -8,6 +10,8 @@ import {
stripLegacyThinkingSuffix,
supportsReasoning
} from './reasoningRegistry'
import type { AIProvider } from '$lib/gen'
import parity from './reasoningParity.json'
describe('stripLegacyThinkingSuffix', () => {
it('removes the deprecated /thinking suffix', () => {
@@ -261,6 +265,42 @@ describe('supportsReasoning (static registry)', () => {
expect(getReasoningCapability('openrouter', 'x-ai/grok-4').canDisable).toBe(false)
expect(getReasoningCapability('openrouter', 'deepseek/deepseek-r1').canDisable).toBe(false)
})
it('never sends a disable the 5.5 point releases and gpt-6-astra reject', () => {
// Live-verified: Claude 5.5 rejects `thinking: disabled`, gpt-6-astra rejects `none`.
for (const [provider, model] of [
['anthropic', 'claude-sonnet-5-5'],
['anthropic', 'claude-opus-5-5'],
['aws_bedrock', 'global.anthropic.claude-opus-5-5-v1:0'],
['openai', 'gpt-6-astra']
] as const) {
expect(getReasoningCapability(provider, model).canDisable, model).toBe(false)
expect(explicitOffToken(provider, model), model).toBeUndefined()
}
expect(getReasoningCapability('openrouter', 'anthropic/claude-sonnet-5.5').canDisable).toBe(
false
)
expect(explicitOffToken('openrouter', 'anthropic/claude-sonnet-5.5')).toBeUndefined()
// A dated Claude 5 id is not a point release.
expect(explicitOffToken('anthropic', 'claude-sonnet-5-20260101')).toBe('none')
expect(explicitOffToken('openai', 'gpt-6-sol')).toBe('none')
expect(getReasoningCapability('openai', 'gpt-6-luna')).toMatchObject({
supported: true,
canDisable: true,
levels: ['low', 'medium', 'high', 'xhigh', 'max']
})
})
it("reads Azure's gpt-35-turbo as gpt-3.5, not a gpt-5+ reasoning model", () => {
expect(supportsReasoning('azure_openai', 'gpt-35-turbo')).toBe(false)
expect(supportsReasoning('openai', 'gpt-35-turbo-16k')).toBe(false)
})
it('finds the models that refuse function tools with reasoning on Chat Completions', () => {
for (const model of ['gpt-5.5', 'gpt-5.6-sol', 'gpt-6-astra']) {
expect(completionsRejectsToolsWithReasoning('openai', model), model).toBe(true)
}
for (const model of ['gpt-5', 'gpt-5.1', 'gpt-35-turbo', 'o3']) {
expect(completionsRejectsToolsWithReasoning('azure_openai', model), model).toBe(false)
}
})
it('forwards an explicit off as effort none through OpenRouter', () => {
expect(
resolveRequestReasoning({
@@ -353,6 +393,23 @@ describe('Azure AI Foundry reasoning follows the model family', () => {
})
})
describe('backend parity', () => {
// windmill-ai's `providers/mod.rs` test reads the same file. The backend rules see the
// model id alone, so the file holds only rows whose answer doesn't depend on the
// provider: a Bedrock- or Gemini-Pro-specific row belongs in the tests above.
it.each(parity)(
'$provider $model',
({ provider, model, canDisable, completionsToolsNeedOff }) => {
const capability = getReasoningCapability(provider as AIProvider, model)
expect(capability.supported).toBe(true)
expect(capability.canDisable).toBe(canDisable)
expect(completionsRejectsToolsWithReasoning(provider as AIProvider, model)).toBe(
completionsToolsNeedOff
)
}
)
})
describe('resolveEffectiveReasoning', () => {
it('defaults capable models to high when unset', () => {
expect(resolveEffectiveReasoning({ provider: 'anthropic', model: 'claude-sonnet-4-6' })).toBe(
@@ -1,5 +1,5 @@
import type { AIProvider, AIProviderModel } from '$lib/gen'
import { parseModelId, usesAnthropicMessagesApi } from './modelConfig'
import { usesAnthropicMessagesApi } from './modelConfig'
/**
* Reasoning effort is provider/model-specific. We never normalize a single
@@ -33,11 +33,6 @@ export function stripLegacyThinkingSuffix(model: string): string {
: model
}
/** Bare model id without any provider/gateway prefix (e.g. OpenRouter's `openai/o3`). */
function baseModelId(model: string): string {
return parseModelId(model).base
}
/**
* Azure AI Foundry hosts multiple model families under one provider, so reasoning
* support follows the underlying model rather than the provider: Claude deployments
@@ -53,172 +48,218 @@ function reasoningProviderFamily(provider: AIProvider, model: string): AIProvide
}
/**
* Suggested effort levels per provider, sourced from each provider SDK's own
* vocabulary.
* Sentinel sent for the deepseek off case. It never reaches the wire as an
* effort: the 'deepseek' branch of `applyReasoningToConfig` translates it to
* the provider's `thinking: {type: "disabled"}` param (`reasoning_effort:
* "none"` is rejected by their API).
*/
const PROVIDER_REASONING_LEVELS: Partial<Record<AIProvider, ReasoningEffort[]>> = {
// DeepSeek accepts the full five-token vocabulary but only two levels are
// real: low/medium are server-mapped to high and xhigh to max — offering
// them would be a no-op knob.
deepseek: ['high', 'max'],
// Mistral's only effort token besides the 'none' disable is 'high'
// (anything else is rejected), so the knob is effectively on/off.
mistral: ['high']
}
export const DEEPSEEK_OFF_SENTINEL: ReasoningEffort = 'none'
/**
* OpenRouter validates effort against its own vocabulary
* (minimal..xhigh + none) and translates per underlying provider, so the
* real ladder depends on the model family: Anthropic gets all five as
* distinct budget ratios (minimal 10% .. xhigh 95% of max_tokens); Gemini
* maps to thinkingLevel with xhigh clamped to high (a no-op vs high);
* OpenAI gets the token passed through verbatim, so the per-model OpenAI
* scoping applies; DeepSeek server-maps low/medium to high and xhigh to max.
* Sentinel for the Anthropic off case. Like the DeepSeek one it never reaches
* the wire as an effort: the 'anthropic' branch of `applyReasoningToConfig`
* translates it to `thinking: {type: "disabled"}`, the only off that Opus and
* Sonnet 5 respect.
*/
function openrouterReasoningLevels(model: string): ReasoningEffort[] {
const m = model.toLowerCase()
const base = baseModelId(model)
if (/claude-(opus|sonnet)-(4|5)/.test(m)) {
return ['minimal', 'low', 'medium', 'high', 'xhigh']
}
if (m.includes('gemini-')) {
return geminiReasoningLevels(m)
}
if (base.startsWith('gpt-5') || /^o\d/.test(base)) {
return openaiReasoningLevels(base)
}
if (m.includes('deepseek-v4')) {
return ['high', 'xhigh']
}
return ['low', 'medium', 'high']
}
export const ANTHROPIC_OFF_SENTINEL: ReasoningEffort = 'none'
/**
* OpenAI's effort vocabulary is model-dependent: `minimal` exists on gpt-5 but
* not on gpt-5.1+, `xhigh` arrived on gpt-5.5 and `max` on gpt-5.6; o-series
* take low/medium/high. An unsupported level is rejected, so scope the list to
* the model. (`none` is the disable token, handled by `explicitOffToken`.)
* What the registry knows about one group of models. The rows below are matched in
* order against the lowercased model id, first match wins, so a narrower row goes above
* the row it overrides. A model no row matches does not reason, as far as we know.
*/
function openaiReasoningLevels(model: string): ReasoningEffort[] {
const base = baseModelId(model)
if (/^gpt-5\.6/.test(base)) {
return ['low', 'medium', 'high', 'xhigh', 'max']
}
if (/^gpt-5\.5/.test(base)) {
return ['low', 'medium', 'high', 'xhigh']
}
if (/^gpt-5\./.test(base)) {
return ['low', 'medium', 'high']
}
if (/^gpt-5/.test(base)) {
return ['minimal', 'low', 'medium', 'high']
}
return ['low', 'medium', 'high']
type ReasoningRule = {
match: RegExp
/** The levels the UI offers. An unsupported level is a 400, so this is per model. */
levels: readonly ReasoningEffort[]
/**
* Whether "off" really stops the model reasoning. When false the UI offers no off:
* the provider would reject it, or coerce it to the lowest level.
*/
canDisable: boolean
/**
* The effort to send for off on a model that reasons when the field is omitted.
* Unset where omission is already off. Always `'none'`: `requestsReasoning` reads
* that as off, and each wire format translates it (see `applyReasoningToConfig`).
*/
offToken?: ReasoningEffort
/**
* gpt-5.5 and later refuse function tools on Chat Completions while they reason,
* even with the effort omitted (live-verified); the Responses API has no such limit.
*/
completionsToolsNeedOff?: boolean
}
const LOW_TO_HIGH = ['low', 'medium', 'high']
const LOW_TO_XHIGH = ['low', 'medium', 'high', 'xhigh']
const LOW_TO_MAX = ['low', 'medium', 'high', 'xhigh', 'max']
const MINIMAL_TO_HIGH = ['minimal', 'low', 'medium', 'high']
/**
* Gemini's level ladder is model-dependent: Gemini 3+ Flash / Flash-Lite accept
* `minimal`, while 3.x Pro does not (and cannot disable thinking). Gemini 2.5
* uses numeric budgets — the proxy maps the three tiers to budget values, so
* `minimal` is not offered there.
* Claude models whose thinking cannot be turned off: an explicit disable 400s. Fable,
* Mythos, and the 5.x point releases (Sonnet 5.5, Opus 5.5), whose lowest setting is
* adaptive thinking at `low` (live-verified). The version match stops at one digit so a
* dated id (`claude-sonnet-5-20260101`) stays Sonnet 5.
*/
function geminiReasoningLevels(model: string): ReasoningEffort[] {
const m = model.toLowerCase()
const isGemini3Plus = !m.includes('gemini-2.5')
if (isGemini3Plus && (m.includes('flash') || m.includes('lite'))) {
return ['minimal', 'low', 'medium', 'high']
}
return ['low', 'medium', 'high']
const CLAUDE_ALWAYS_THINKING = /fable|mythos|claude-(opus|sonnet)-5[-.][1-9](?!\d)/
// Anthropic ids are matched anywhere in the id: Bedrock prefixes them
// (`us.anthropic.claude-opus-4-6-v1`). Opus 4.5 and older reject adaptive thinking.
const ANTHROPIC_RULES: ReasoningRule[] = [
{ match: CLAUDE_ALWAYS_THINKING, levels: LOW_TO_MAX, canDisable: false },
// The 5 family thinks when the field is absent, so off is an explicit disable.
{
match: /claude-(opus|sonnet)-5/,
levels: LOW_TO_MAX,
canDisable: true,
offToken: ANTHROPIC_OFF_SENTINEL
},
// 4.6-4.8 only think when asked, so omission is already off.
{ match: /claude-opus-4-[78]/, levels: LOW_TO_MAX, canDisable: true },
{ match: /claude-(opus|sonnet)-4-6/, levels: ['low', 'medium', 'high', 'max'], canDisable: true }
]
const BEDROCK_RULES: ReasoningRule[] = [
ANTHROPIC_RULES[0],
// AWS documents Sonnet 5 on Bedrock as always thinking, where the native API
// accepts a disable for it.
{ match: /claude-sonnet-5/, levels: LOW_TO_MAX, canDisable: false },
...ANTHROPIC_RULES.slice(1)
]
// Anchored at the start or after a gateway's `vendor/`, and the major is one digit:
// Azure names gpt-3.5 `gpt-35-turbo`. `minimal` exists on gpt-5 only, `xhigh` from
// gpt-5.5, `max` from gpt-5.6.
const OPENAI_RULES: ReasoningRule[] = [
// Live-verified: astra takes low..max only, where sol and luna also take `none`.
{
match: /(?:^|\/)gpt-6-astra/,
levels: LOW_TO_MAX,
canDisable: false,
completionsToolsNeedOff: true
},
{
match: /(?:^|\/)gpt-[6-9](?:[.:-]|$)/,
levels: LOW_TO_MAX,
canDisable: true,
offToken: 'none',
completionsToolsNeedOff: true
},
{
match: /(?:^|\/)gpt-5\.6/,
levels: LOW_TO_MAX,
canDisable: true,
offToken: 'none',
completionsToolsNeedOff: true
},
{
match: /(?:^|\/)gpt-5\.5/,
levels: LOW_TO_XHIGH,
canDisable: true,
offToken: 'none',
completionsToolsNeedOff: true
},
// A later gpt-5 minor keeps the tools limit, which holds for every version from 5.5,
// but only the levels every gpt-5.x takes until it has a row of its own.
{
match: /(?:^|\/)gpt-5\.(?:[5-9]|\d{2,})/,
levels: LOW_TO_HIGH,
canDisable: true,
offToken: 'none',
completionsToolsNeedOff: true
},
// gpt-5.1+ are off only through `none`: omitted, they reason at medium.
{ match: /(?:^|\/)gpt-5\./, levels: LOW_TO_HIGH, canDisable: true, offToken: 'none' },
// gpt-5 and the o-series reject `none` and reason when it is omitted.
{ match: /(?:^|\/)gpt-5(?:[:-]|$)/, levels: MINIMAL_TO_HIGH, canDisable: false },
{ match: /(?:^|\/)o\d/, levels: LOW_TO_HIGH, canDisable: false }
]
// Gemini 2.5/3 think by default; the backend proxy maps `none` to off on Flash, or to
// the floor on Pro, which enforces one (level `low` on 3.x, 128 tokens on 2.5).
// Gemini 3+ Flash / Flash-Lite accept `minimal`; 2.5 takes numeric budgets the proxy
// maps from three tiers.
const GEMINI_RULES: ReasoningRule[] = [
{ match: /gemini-2\.5.*pro/, levels: LOW_TO_HIGH, canDisable: false, offToken: 'none' },
{ match: /gemini-2\.5/, levels: LOW_TO_HIGH, canDisable: true, offToken: 'none' },
{ match: /gemini-3.*pro/, levels: LOW_TO_HIGH, canDisable: false, offToken: 'none' },
{ match: /gemini-3.*(flash|lite)/, levels: MINIMAL_TO_HIGH, canDisable: true, offToken: 'none' },
{ match: /gemini-3/, levels: LOW_TO_HIGH, canDisable: true, offToken: 'none' }
]
const REASONING_RULES: Partial<Record<AIProvider, ReasoningRule[]>> = {
anthropic: ANTHROPIC_RULES,
aws_bedrock: BEDROCK_RULES,
openai: OPENAI_RULES,
azure_openai: OPENAI_RULES,
googleai: GEMINI_RULES,
deepseek: [
// Every current API model takes reasoning_effort, but only two levels are real:
// low/medium are server-mapped to high, xhigh to max. The retired
// `deepseek-chat` alias means "non-thinking mode", so a saved selection on it
// must not silently become a thinking request. Off is a separate `thinking` param.
{
match: /(?:^|\/)deepseek(?!-chat(?::|$))/,
levels: ['high', 'max'],
canDisable: true,
offToken: DEEPSEEK_OFF_SENTINEL
}
],
mistral: [
// Only the ids verified to accept reasoning_effort (large, magistral, ministral
// and pinned versions reject it), whose only effort besides off is `high`.
{
match: /(?:^|\/)mistral-(?:(?:small|medium)-latest(?::|$)|medium-3[-.]5)/,
levels: ['high'],
canDisable: true
}
],
// OpenRouter validates effort against its own vocabulary (minimal..xhigh + none) and
// translates it per underlying provider, which scopes the ladder: Anthropic gets all
// five as budget ratios, OpenAI gets the token verbatim, DeepSeek server-maps. `none`
// is its documented off, more reliable than omission; it can only disable a model
// whose upstream can.
openrouter: [
{
match: /claude-(opus|sonnet)-5[-.][1-9](?!\d)/,
levels: ['minimal', ...LOW_TO_XHIGH],
canDisable: false
},
{
match: /claude-(opus|sonnet)-(4|5)/,
levels: ['minimal', ...LOW_TO_XHIGH],
canDisable: true,
offToken: 'none'
},
...GEMINI_RULES,
...OPENAI_RULES.map(({ completionsToolsNeedOff: _, ...rule }) => ({
...rule,
offToken: 'none'
})),
{ match: /deepseek-v4/, levels: LOW_TO_XHIGH.slice(2), canDisable: true, offToken: 'none' },
// deepseek-r1, grok-4 and :thinking variants reason unconditionally.
{
match: /deepseek-r|grok-4|:thinking/,
levels: LOW_TO_HIGH,
canDisable: false,
offToken: 'none'
}
]
}
/**
* Gemini Pro models cannot turn thinking off — the API enforces a floor
* (level `low` on 3.x Pro, a 128-token budget on 2.5 Pro), so an off option
* would silently mean "lowest". Flash / Flash-Lite can truly disable
* (budget 0 / level `minimal`).
*/
function geminiCanDisable(model: string): boolean {
return !model.toLowerCase().includes('pro')
/** The row that describes a model, and whether its provider family has rows at all. */
function findReasoningRule(
provider: AIProvider,
model: string
): { rule: ReasoningRule | undefined; known: boolean } {
const rules = REASONING_RULES[reasoningProviderFamily(provider, model)]
const id = stripLegacyThinkingSuffix(model).toLowerCase()
return { rule: rules?.find((rule) => rule.match.test(id)), known: rules !== undefined }
}
/**
* Anthropic's effort ladder is model-dependent: `xhigh` exists on Opus 4.7/4.8,
* the 5 family and Fable/Mythos; `max` also on Opus 4.6 and Sonnet 4.6.
* Offering an unsupported level would 400, so scope the list to the model.
*/
function anthropicReasoningLevels(model: string): ReasoningEffort[] {
const m = model.toLowerCase()
if (
/claude-(opus|sonnet)-5/.test(m) ||
/claude-opus-4-(7|8)/.test(m) ||
m.includes('fable') ||
m.includes('mythos')
) {
return ['low', 'medium', 'high', 'xhigh', 'max']
}
return ['low', 'medium', 'high', 'max']
}
/** Mistral writes both `mistral-medium-3.5` and `mistral-medium-3-5`. */
function normalizeMistralId(model: string): string {
return baseModelId(model).replace(/\./g, '-')
}
/**
* Conservative static predicate for whether a model accepts an effort knob.
* Kept tight to avoid 400s on models that reject reasoning params.
*/
function supportsReasoningStatic(provider: AIProvider, model: string): boolean {
const m = model.toLowerCase()
const base = baseModelId(model)
switch (reasoningProviderFamily(provider, model)) {
case 'anthropic':
// Bedrock serves the same Claude models under prefixed ids
// (e.g. `us.anthropic.claude-opus-4-6-v1`), so match on the full string.
case 'aws_bedrock':
// 4.6+ only: Opus 4.5 rejects adaptive thinking (and, on Bedrock,
// the whole output_config surface) — live-verified hard 400.
return (
/claude-opus-(4-(6|7|8)|5)/.test(m) ||
/claude-sonnet-(4-6|5)/.test(m) ||
m.includes('fable') ||
m.includes('mythos')
)
case 'openai':
case 'azure_openai':
return base.startsWith('gpt-5') || /^o\d/.test(base)
case 'openrouter':
// Best-effort markers for models whose `supported_parameters` include
// `reasoning` in OpenRouter's catalog; OpenRouter translates the effort
// per underlying provider.
return (
base.startsWith('gpt-5') ||
/^o\d/.test(base) ||
/claude-(opus|sonnet)-(4|5)/.test(m) ||
/gemini-(2\.5|3)/.test(m) ||
m.includes('deepseek-r') ||
m.includes('deepseek-v4') ||
m.includes('grok-4') ||
m.includes(':thinking')
)
case 'googleai':
return /gemini-(2\.5|3)/.test(m)
case 'deepseek':
// All current API models take reasoning_effort (live-verified). The
// retired `deepseek-chat` alias stays excluded: its documented meaning
// is "non-thinking mode", so a saved selection on it must not silently
// become a thinking request.
return base.startsWith('deepseek') && base !== 'deepseek-chat'
case 'mistral':
// Only the ids verified to accept reasoning_effort; other models
// (large, magistral, ministral, pinned versions) reject the param.
return (
/^mistral-(small|medium)-latest$/.test(base) ||
normalizeMistralId(model).startsWith('mistral-medium-3-5')
)
default:
return false
}
/** Whether Chat Completions needs reasoning off for this model to take function tools. */
export function completionsRejectsToolsWithReasoning(provider: AIProvider, model: string): boolean {
return findReasoningRule(provider, model).rule?.completionsToolsNeedOff ?? false
}
export type ReasoningCapability = {
@@ -241,89 +282,12 @@ export type ReasoningCapability = {
known: boolean
}
/** Provider families the registry has real rules for; everything else is a shrug. */
const KNOWN_REASONING_FAMILIES: ReadonlySet<string> = new Set([
'anthropic',
'aws_bedrock',
'openai',
'azure_openai',
'openrouter',
'googleai',
'deepseek',
'mistral'
])
/** Resolve the reasoning capability of a model from the static registry. */
export function getReasoningCapability(provider: AIProvider, model: string): ReasoningCapability {
const bareModel = stripLegacyThinkingSuffix(model)
const known = KNOWN_REASONING_FAMILIES.has(reasoningProviderFamily(provider, bareModel))
const supported = supportsReasoningStatic(provider, bareModel)
if (!supported) {
return { supported: false, levels: [], canDisable: false, known }
}
const family = reasoningProviderFamily(provider, bareModel)
const levels =
family === 'anthropic' || family === 'aws_bedrock'
? anthropicReasoningLevels(bareModel)
: family === 'googleai'
? geminiReasoningLevels(bareModel)
: family === 'openai' || family === 'azure_openai'
? openaiReasoningLevels(bareModel)
: family === 'openrouter'
? openrouterReasoningLevels(bareModel)
: (PROVIDER_REASONING_LEVELS[family] ?? ['low', 'medium', 'high'])
return { supported, levels, canDisable: canDisableReasoning(provider, bareModel), known }
}
/**
* Whether selecting "off" truly disables reasoning for the model. Off is
* sent either as an explicit provider disable (see `explicitOffToken`) or by
* omitting the effort — which only works where the model doesn't reason by
* default.
*/
function canDisableReasoning(provider: AIProvider, model: string): boolean {
const m = model.toLowerCase()
const base = baseModelId(model)
switch (reasoningProviderFamily(provider, model)) {
case 'anthropic':
// Every Claude but Fable and Mythos can stop thinking: 4.6-4.8 by
// omission, and the 5 family through the explicit disable that
// `explicitOffToken` sends.
return !ANTHROPIC_ALWAYS_THINKING.test(m)
case 'aws_bedrock':
// Same models, different answer: AWS documents Sonnet 5 on Bedrock as
// always thinking, where the native API accepts a disable for it.
return !(ANTHROPIC_ALWAYS_THINKING.test(m) || m.includes('claude-sonnet-5'))
case 'googleai':
return geminiCanDisable(model)
case 'openai':
case 'azure_openai':
// gpt-5.1+ accept effort 'none'; gpt-5 and o-series reject it and
// reason at `medium` by default, so omission isn't off either.
return /^gpt-5\./.test(base)
case 'openrouter':
// 'none' is in OpenRouter's vocabulary, but the gateway can't
// disable a model whose upstream can't — scope off per underlying
// family, like the levels.
// The 5 family thinks by default, but its upstream takes an explicit
// disable, so the gateway's 'none' has something to translate to.
if (/claude-(opus|sonnet)-(4|5)/.test(m)) {
return true
}
if (m.includes('gemini-')) {
return geminiCanDisable(m)
}
if (base.startsWith('gpt-5') || /^o\d/.test(base)) {
return /^gpt-5\./.test(base)
}
if (m.includes('deepseek-v4')) {
return true
}
// grok-4, deepseek-r1 and :thinking variants reason unconditionally.
return false
default:
return true
}
const { rule, known } = findReasoningRule(provider, model)
return rule
? { supported: true, levels: [...rule.levels], canDisable: rule.canDisable, known }
: { supported: false, levels: [], canDisable: false, known }
}
export function supportsReasoning(provider: AIProvider, model: string): boolean {
@@ -352,64 +316,14 @@ export function resolveEffectiveReasoning(
: undefined
}
/**
* Sentinel sent for the deepseek off case. It never reaches the wire as an
* effort: the 'deepseek' branch of `applyReasoningToConfig` translates it to
* the provider's `thinking: {type: "disabled"}` param (`reasoning_effort:
* "none"` is rejected by their API).
*/
export const DEEPSEEK_OFF_SENTINEL: ReasoningEffort = 'none'
/**
* Sentinel for the Anthropic off case. Like the DeepSeek one it never reaches
* the wire as an effort: the 'anthropic' branch of `applyReasoningToConfig`
* translates it to `thinking: {type: "disabled"}`, which is the only off the
* always-on 5 family respects.
*/
export const ANTHROPIC_OFF_SENTINEL: ReasoningEffort = 'none'
/** Claude models whose thinking cannot be turned off — an explicit disable 400s. */
const ANTHROPIC_ALWAYS_THINKING = /fable|mythos/
/**
* Disable token to forward when the user explicitly turns reasoning off on a
* model that reasons *by default* — omitting the field would silently keep
* the default-on behavior. Undefined means omission is the correct off. Every
* token is `'none'`: `requestsReasoning` reads that value as off.
* the default-on behavior. Undefined means omission is the correct off, or that
* the model cannot be turned off at all.
*/
export function explicitOffToken(provider: AIProvider, model: string): ReasoningEffort | undefined {
switch (reasoningProviderFamily(provider, model)) {
case 'anthropic':
// Claude 4.6-4.8 only think when asked, so omission is already a
// real off there and stays the wire form. Only the 5 family, which
// thinks when the field is absent, needs the explicit disable —
// Fable and Mythos reject it outright and get no off token at all.
return /claude-(opus|sonnet)-5/.test(model.toLowerCase()) ? ANTHROPIC_OFF_SENTINEL : undefined
case 'aws_bedrock':
// Bedrock's Sonnet 5 cannot be disabled at all, so only Opus 5 gets
// the sentinel; the rest keep omission.
return model.toLowerCase().includes('claude-opus-5') ? ANTHROPIC_OFF_SENTINEL : undefined
case 'googleai':
// Gemini 2.5/3 think by default (dynamic budget / level). The backend
// proxy maps 'none' to off on Flash, or the floor on Pro (only
// reachable via a stale persisted preference — see canDisableReasoning).
return 'none'
case 'deepseek':
return DEEPSEEK_OFF_SENTINEL
case 'openai':
case 'azure_openai':
// gpt-5.1+ reasoning is off only via the explicit 'none' effort
// (gpt-5.5 defaults to medium when the field is omitted).
return /^gpt-5\./.test(baseModelId(model)) ? 'none' : undefined
case 'openrouter':
// OpenRouter validates effort against xhigh..minimal|none and
// documents 'none' as disabling reasoning, translated per the
// underlying provider — more reliable than omission, which keeps
// reasoning-by-default models thinking.
return 'none'
default:
return undefined
}
return findReasoningRule(provider, model).rule?.offToken
}
/**
+1 -1
View File
@@ -1,6 +1,6 @@
{
"gitSyncTest": "hub/28950/git-repo-test-read-write-windmill",
"gitInitRepo": "hub/28970/git-sync-init-repository-windmill",
"gitInitRepo": "hub/28993/git-sync-init-repository-windmill",
"slackErrorHandler": "hub/28794/workspace-or-schedule-error-handler-slack",
"emailErrorHandler": "hub/19795/workspace-or-error-handler-email",
"slackRecoveryHandler": "hub/28791/slack/schedule-recovery-handler-slack",