* refactor: extract object store code into windmill-object-store crate with filesystem backend
Consolidate all object_store-dependent code from windmill-common into a new
windmill-object-store crate. Add a filesystem-backed object store implementation
using LocalFileSystem for dev/testing without cloud credentials. Includes 30
comprehensive tests covering render_endpoint, lfs_to_object_store_resource,
duckdb_connection_settings, error mapping, and filesystem-backed integration tests.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* all
* all
* all
* all
* fix: fix raw_app hardcoded path, add missing ObjectStoreResource import, and add tests
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* refactor: move S3ModeFormat to windmill-types, make windmill-parser-sql optional, restore debug logs
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* all
---------
Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
* Add AWS Bedrock session token support in API and worker
* Add Bedrock auth mode integration tests for AI agents
* Split Bedrock integration test env vars for IAM and session creds
* cleaning
* Add masked Bedrock bearer-token debug info logs
* Revert "Add masked Bedrock bearer-token debug info logs"
This reverts commit 6b2fc5e7c2d5b1c6db81f416a4439941a084108c.
* cleaning
* feat(ai): support 1M context window for Anthropic resources
Add `enable_1m_context` boolean field to Anthropic resource configuration.
When enabled (and not using Vertex AI), sends the `anthropic-beta: context-1m-2025-08-07`
header in both the API proxy layer and the AI agent worker layer.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* fix(ai): add serde alias for enable_1M_context DB field name
The resource_type schema uses `enable_1M_context` (uppercase M) but
serde only matched `enable_1m_context` and `enable1mContext`, causing
the field to always deserialize as false.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
---------
Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
* feat: add prompt caching support for Anthropic API
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
* exclude vertex
---------
Co-authored-by: Claude Opus 4.5 <noreply@anthropic.com>
* fix: parse Python datetime.datetime and datetime.date type annotations correctly
The Python parser only matched ExprKind::Name for type annotations, so
`datetime.datetime` (an Attribute expression) silently fell through to
Typ::Unknown and no datetime picker was shown in the UI.
- Extend parse_expr to resolve `datetime.*` attribute access (alongside
the existing `wmill.*` handling)
- Add Typ::Date variant for `datetime.date` → JSON schema format "date"
- Update python worker to import and convert `date.fromisoformat()`
- Update argSigToJsonSchemaType, AI types, schema validation, and SQL
datatype wasm for the new Date variant
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* all
* all
* all
* all
---------
Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
* refactor: extract windmill-dep-map crate for parallel api/worker compilation
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* fix: resolve WebhookShared type mismatch and missing enterprise propagation
- Make windmill-api webhook_util re-export from windmill-common instead of
duplicating types, fixing Extension<WebhookShared> mismatch between
windmill-store and windmill-api
- Add windmill-api-jobs/enterprise to windmill-trigger enterprise feature
so check_license_key_valid is available when trigger subcrates enable
enterprise on windmill-trigger
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* fix: stop trigger features from unconditionally enabling enterprise
Move enterprise propagation for all trigger subcrates from individual
trigger feature definitions to the enterprise feature itself, so
enterprise is only enabled when explicitly requested.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* refactor: remove unused pub use re-exports and disable CI cargo cache
- Remove unused re-exports from windmill-worker/src/lib.rs:
trigger_dependents_to_recompute_dependencies, handle_job_error,
and unused bun/otel items
- Fix callers to use direct module paths instead
- Add windmill-dep-map as dev-dependency for tests
- Disable cargo cache in backend-check CI (faster from-scratch builds)
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* fix: restore bun re-exports used by tests
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* all
* chore: re-enable cargo cache for check_ee_full CI job
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
---------
Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
* fix: remove $schema field from Google AI output schema requests
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
* test: add $schema field to all output schema integration tests
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
* fix: remove $schema field from Google AI tool parameter schemas
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
* test: add workspace script tool test for AI agents
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
---------
Co-authored-by: Claude Opus 4.5 <noreply@anthropic.com>
* feat: add token usage tracking to AI agent output
Add TokenUsage struct to track input/output/cache tokens from AI providers.
Currently implemented for Bedrock provider, with infrastructure in place
for other providers. Usage is included in the AI agent result alongside
output and messages when available.
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
* feat: add token usage extraction for Anthropic provider
Extract usage from message_delta SSE event and convert to TokenUsage.
Includes input_tokens, output_tokens, cache_read_input_tokens, and
cache_creation_input_tokens (mapped to cache_write_input_tokens).
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
* feat: add token usage extraction for Google AI/Gemini provider
Extract usage from usageMetadata in Gemini SSE events and convert to TokenUsage.
Maps promptTokenCount -> input_tokens, candidatesTokenCount -> output_tokens,
totalTokenCount -> total_tokens.
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
* feat: add token usage extraction for OpenAI Responses API provider
Extract usage from response.completed SSE event and convert to TokenUsage.
Maps input_tokens, output_tokens, and total_tokens directly.
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
* feat: add token usage extraction for Azure OpenAI / Chat Completions API
Add stream_options.include_usage to request and parse usage from final
SSE chunk for providers using the standard OpenAI Chat Completions API
(Azure OpenAI, Mistral, DeepSeek, Groq, TogetherAI, CustomAI).
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
* fix: cleanup token usage tracking - remove unused Image usage field and accumulate across iterations
- Remove unused `usage` field from ParsedResponse::Image variant
- Add TokenUsage::accumulate() method to sum usage across agent iterations
- Accumulate input/output/total/cache tokens instead of replacing with last iteration
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* fix: remove verbose debug logging from AI providers
Remove tracing::info!("[debug] ...") statements that were too verbose
for production. These logged raw events on every streaming event.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* feat: add retry mechanism for OpenAI-compatible providers without stream_options support
Some OpenAI-compatible providers don't support the stream_options parameter
for usage tracking. This adds a retry mechanism that:
- First attempts the request with stream_options.include_usage
- If it fails with 400 and error mentions stream_options/include_usage,
automatically retries without the parameter
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* fix: remove unnecessary text parsing overhead in image response handlers
Revert debugging changes that read response as text before parsing JSON.
Using response.json() directly is more efficient.
Co-Authored-By: Claude <noreply@anthropic.com>
* refactor: centralize TokenUsage conversion with constructor methods
Add new(), from_input_output(), and with_cache() constructors to TokenUsage
to eliminate duplicate conversion logic across providers. Also fixes potential
truncation in Bedrock cache token conversion by using i32::try_from with
fallback to i32::MAX.
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
* refactor: simplify Anthropic usage extraction and add Default derive
- Use idiomatic `if let` pattern instead of `is_some()` check for usage extraction
- Add Default derive to OpenAIChatUsage for consistency with other usage structs
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
* fix: use saturating_add to prevent overflow in token accumulation
In long-running agents with many iterations, token counts could
potentially overflow. Using saturating_add ensures values cap at
i32::MAX instead of wrapping around.
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
* better claude
* nit
---------
Co-authored-by: Claude Opus 4.5 <noreply@anthropic.com>
* fix: handle empty strings in AI resource fields via serde deserializer
Add `empty_string_as_none` deserializer that converts empty strings to None
during deserialization. Applied to base_url, api_key, region, and AWS
credential fields in AIStandardResource and ProviderResource.
This fixes the "relative URL without a base" error when creating Anthropic
resources with empty base_url fields.
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
* nit
* nit
* nit
* cleaning
* cleaning
* cleaning
* cleaning
* fix: apply empty_string_as_none deserializer to api_key field
Consistent with other fields in ProviderResource, empty strings are now
deserialized as None for the api_key field.
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
---------
Co-authored-by: Claude Opus 4.5 <noreply@anthropic.com>
* check endpoint
* use flag for cred check on worker
* use sdk for auth chat side
* cleaning
* cleaning
* also handle GET
* Add session token support in BedrockClient::from_credentials
Users with temporary STS credentials need session tokens for AWS
authentication. This adds the optional session_token parameter to
support these use cases.
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
* Cache AWS SDK config loading to avoid repeated I/O
aws_config::load_defaults() performs environment variable lookups and
potentially file I/O on each call. Cache the result in a static OnceCell
to improve performance on high-frequency Bedrock requests.
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
* Add debouncing to Bedrock credential check button
Prevent rapid clicks from spawning multiple concurrent flow preview
jobs for the worker credential check.
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
* Remove orphaned SigV4 signing comment
The manual SigV4 signing code was removed in favor of the AWS SDK,
but this documentation comment was left behind.
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
* Remove verbose tracing info and change-related comments
- Remove per-request auth method info logs (too verbose for production)
- Simplify from_env log to single debug-level message
- Remove comments describing future changes rather than current behavior
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
* cleaning
* Fix Bedrock feature flag compilation warnings
Gate AWS-specific imports, struct fields, and methods behind the bedrock
feature flag to eliminate dead code warnings when building without the
bedrock feature enabled.
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
* bedrock flag
* cleaning
* Move BedrockCredentialsCheck from edit drawer to add drawer
The component was incorrectly shown when editing resources instead of
when adding new ones. Moved it from ResourceEditor.svelte to
ApiConnectForm.svelte.
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
* cleaning
* cleaning
* make aws-config optional
---------
Co-authored-by: Claude Opus 4.5 <noreply@anthropic.com>
Co-authored-by: Ruben Fiszel <ruben@windmill.dev>
* refactor(ai): use responses API for OpenAI/Azure, create 'other' provider for completion endpoint
- Created new 'other.rs' provider using the OpenAI-compatible completion endpoint
- Refactored 'openai.rs' to use the Responses API for both text and image output
- Updated query_builder to route OpenAI/AzureOpenAI to OpenAIQueryBuilder
- All other providers (Mistral, DeepSeek, Groq, etc.) now use OtherQueryBuilder
- Updated OpenRouter to delegate to OtherQueryBuilder instead of OpenAIQueryBuilder
This prepares the codebase for adding websearch tool support using the Responses API.
Co-authored-by: windmill-internal-app[bot] <windmill-internal-app[bot]@users.noreply.github.com>
* feat(ai): add websearch as AI agent tool type
- Added WebsearchToolValue to ToolValue enum in flows.rs
- Updated all pattern matches to handle websearch tool type
- Added has_websearch parameter to run_agent function
- Websearch tools don't require additional configuration
This prepares the backend for provider-specific websearch implementations.
Co-authored-by: windmill-internal-app[bot] <windmill-internal-app[bot]@users.noreply.github.com>
* feat(frontend): add websearch as tool option in AI agent UI
- Added WebsearchTool type and utility functions to agentToolUtils.ts
- Added "Web Search" option in tool insertion menu (InsertModuleInner)
- Updated NewAIToolNode to handle pickWebsearchTool event
- Updated AIToolNode to render websearch tools properly
- Updated FlowModuleSchemaMap to create websearch tools
Users can now add websearch tools to AI agents through the UI.
Co-authored-by: windmill-internal-app[bot] <windmill-internal-app[bot]@users.noreply.github.com>
* feat(ai): implement websearch for OpenAI provider
- Added has_websearch parameter to BuildRequestArgs
- OpenAI provider now adds web_search tool to requests when enabled
- Uses OpenAI Responses API web_search tool type
- Websearch tool is added before other custom tools in the request
Implements websearch functionality for OpenAI and Azure OpenAI providers.
Co-authored-by: windmill-internal-app[bot] <windmill-internal-app[bot]@users.noreply.github.com>
* feat(ai): implement websearch for Anthropic provider
- Created anthropic.rs provider with native Anthropic API format
- Added web_search tool to Anthropic requests when enabled
- Anthropic uses /messages endpoint with x-api-key authentication
- Updated query_builder to route Anthropic to new provider
Implements websearch functionality for Anthropic Claude models.
Co-authored-by: windmill-internal-app[bot] <windmill-internal-app[bot]@users.noreply.github.com>
* feat(ai): implement websearch for Gemini/GoogleAI provider
- GoogleAI now uses completion endpoint (other.rs) for text instead of responses API
- Added Google Search grounding when websearch is enabled
- Uses google_search_retrieval tool in request when has_websearch is true
- Updated parse methods to use OtherQueryBuilder for completion endpoint
Implements websearch functionality for Google Gemini models.
Co-authored-by: windmill-internal-app[bot] <windmill-internal-app[bot]@users.noreply.github.com>
* fix frontend
* fix anthropic and openai
* better for gemini
* structured output
* cleaning
* fix validate tool
* fixes
* cleaning
* cleaning
* fix for openai
* no responses api for azure
* fixes
* fix
* add tests for ai agent
* avoid panic
* better tests
* test user images
* fix tool choice
* always use streaming backend side
* big cleaning
* show annotations plus agent action for open ai websearch use
* show annotations plus agent action for anthropic websearch use
* show annotations plus agent action for google websearch use
* nit forntend
* rm
* fix
* add test for image ouptut
* fix for azure
* add in openflow
* fix
* fix
* nit tests
* fixes
---------
Co-authored-by: claude[bot] <41898282+claude[bot]@users.noreply.github.com>
Co-authored-by: windmill-internal-app[bot] <windmill-internal-app[bot]@users.noreply.github.com>
Co-authored-by: centdix <farhadg110@gmail.com>
* handle messages array for ai agent
* better
* nit
* make tool_calls and tool_call_id nullable
* fix empty json behavior
* nits
* cleaning
* feat(backend): replace messages/messages_context_length with history oneOf field
Replace the separate 'messages' array and 'messages_context_length' fields with
a single 'history' field that uses a oneOf discriminator.
The 'history' field can be either:
- 'auto' mode: automatically manages conversation history with memory, takes a
'context_length' number parameter
- 'manual' mode: bypasses memory and uses explicitly provided messages array
Backward compatibility is maintained: if 'messages_context_length' is provided
in the old schema format, it is automatically converted to 'auto' mode with the
specified context_length.
Co-authored-by: centdix <centdix@users.noreply.github.com>
* feat(frontend): replace messages/messages_context_length with history oneOf field
Replace the separate 'messages' array and 'messages_context_length' fields with
a single 'history' field in the AI agent schema.
The 'history' field uses a oneOf discriminator with two modes:
- 'auto': { mode: 'auto', context_length: number } - automatically manages
conversation history with memory
- 'manual': { mode: 'manual', messages: array } - bypasses memory and uses
explicitly provided messages
The schema includes comprehensive descriptions for each mode explaining the
behavior. The order array has been updated to include 'history' in place of
the old 'messages_context_length' and 'messages' fields.
Co-authored-by: centdix <centdix@users.noreply.github.com>
* fix(frontend): add support for 'mode' discriminator in oneOf rendering
Update ArgInput.svelte to properly handle oneOf schemas that use 'mode' as the
discriminator field, in addition to the existing 'kind' and 'label' support.
Changes:
- Updated tagKey derivation to check for 'mode' first, then 'kind', then 'label'
- Added 'mode' to the onOneOfChange function to track mode changes
- Added 'mode' to the list of keys excluded from enum validation
- Added 'mode' to hiddenArgs to prevent it from being shown in the form
- Added title fields to the history oneOf variants in flowInfers.ts
This allows the AI agent's history field to properly render with toggle buttons
for 'auto' and 'manual' modes.
Co-authored-by: centdix <centdix@users.noreply.github.com>
* fixes
* frontend fix
* nit
* cleaning
* cleaning
* better
* reword
* reword
---------
Co-authored-by: claude[bot] <41898282+claude[bot]@users.noreply.github.com>
Co-authored-by: centdix <centdix@users.noreply.github.com>
* backend draft
* fix for tool and streaming
* do frontend side
* working
* working tools
* rm
* handle list endpoint
* handle for ai agents
* fix for models requiring inference id
* cleaning
* fix desc issue
* fix tool usage
* fix structured output
* cleaning
* fix for api
* rm
* fix input images
* cleaning
* chore: use aws sdk (#7156)
* feat(ai): Add AWS SDK dependencies for Bedrock integration
- Add aws-sdk-bedrockruntime v1.113.0
- Add aws-credential-types for bearer token authentication
- Update rustls to v0.23.35 for compatibility
- Dependencies added to windmill-common for AI features
* feat(ai): Add bearer token provider for Bedrock authentication
- Implement BearerTokenProvider using aws_credential_types
- Simple token-based auth using API keys from Windmill resources
- Add basic unit tests for provider creation
- Export bedrock_auth module in lib.rs
* feat(ai): Add Bedrock client wrapper with region extraction
- Implement BedrockClient wrapper around AWS SDK client
- Bearer token authentication integration
- Extract AWS region from Bedrock base URL automatically
- Comprehensive unit tests for region extraction
- Make aws-config non-optional dependency for AI features
- Update feature flags to reflect new dependency structure
* cargo
* feat(ai): Implement non-streaming Bedrock via AWS SDK
Use official AWS SDK instead of manual HTTP requests for better type safety and maintainability. Implements the Bedrock converse() API for non-streaming requests with proper bearer token authentication and message format conversion between OpenAI and Bedrock formats.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* refactor(ai): Eliminate Simple* conversion types for Bedrock SDK
- Move AI types to windmill-common/src/ai_types.rs for shared access
- Update bedrock_converters to work directly with OpenAI types
- Remove ~200 lines of conversion boilerplate from ai_executor.rs and bedrock.rs
- Remove unused imports to clean compilation warnings
- Benefits: 50% fewer conversion steps, no information loss, easier maintenance
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* feat(ai): Add streaming support for AWS Bedrock SDK
- Implement converse_stream() for Bedrock streaming responses
- Use EventReceiver.recv() to process stream events
- Extract text deltas using bedrock_stream_event_to_text()
- Send TokenDelta events to StreamEventProcessor for real-time updates
- Refactor request building to eliminate duplication between streaming and non-streaming
- Clean, minimal implementation following AWS SDK patterns
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* revert flake change
* fix
* feat(ai): Add tool calls and image support for Bedrock streaming
**Phase 1: Streaming Tool Call Support**
- Add stream event processing functions in bedrock_converters.rs:
- bedrock_stream_event_to_tool_start() - Extract tool use start from ContentBlockStart
- bedrock_stream_event_to_tool_delta() - Extract tool input deltas from ContentBlockDelta
- bedrock_stream_event_is_block_stop() - Detect ContentBlockStop events
- streaming_tool_calls_to_openai() - Convert accumulated tool calls to OpenAI format
- Update ai_executor.rs streaming loop with tool call accumulator (HashMap)
- Track current tool use ID during streaming
- Send ToolCallArguments events to StreamEventProcessor
- Return accumulated tool calls instead of empty vector
**Phase 2: Image Input Support**
- Add parse_image_data_url() to extract format and base64 data from data URLs
- Add content_part_to_block() to convert ContentPart to Bedrock ContentBlock
- Refactor convert_message() to handle multi-part content with images
- Support ImageUrl conversion to Bedrock ImageBlock with proper format (png/jpeg/gif/webp)
- Import AWS SDK image types: ImageBlock, ImageSource, ImageFormat
- Keep content_to_text() helper for system message text extraction
**Benefits**:
- ✅ Tool calling now works in both streaming and non-streaming modes
- ✅ Images are properly converted instead of being silently dropped
- ✅ Structured output works in streaming (uses tool calling)
- ✅ Full feature parity with manual HTTP implementation
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* cleaning
* fix(ai): Add S3 image support and structured output for Bedrock
**Fixes:**
1. **S3 Image Support**: Call prepare_messages_for_api() before Bedrock SDK path to convert S3Objects to ImageUrls
- Downloads images from S3 and encodes as base64 data URLs
- Ensures images are properly handled in both streaming and non-streaming modes
2. **Structured Output**: Add ToolChoice::Any when structured output tool is present
- Forces Bedrock to call the structured_output tool
- Ensures JSON schema compliance for structured output
- Works in both streaming and non-streaming modes
**Changes:**
- ai_executor.rs: Call prepare_messages_for_api() for Bedrock SDK path
- ai_executor.rs: Set tool_choice to Any when structured_output_tool_name is present
- aws_bedrock.rs: Remove unused ToolChoice imports (used via full path in worker)
**Testing:**
- ✅ S3 images are now downloaded and converted before API call
- ✅ Structured output now forces tool usage with ToolChoice::Any
- ✅ Both work in streaming and non-streaming modes
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* cleaning
* cleaning
* cleaning
* better error
* cleaning
* cleaning
* rm
* rename
* apply region
---------
Co-authored-by: Claude <noreply@anthropic.com>
* fix default
* no panic
* no print
* use utils file
* cleaning
---------
Co-authored-by: Claude <noreply@anthropic.com>
* backend draft
* fix for tool and streaming
* do frontend side
* working
* working tools
* rm
* handle list endpoint
* handle for ai agents
* fix for models requiring inference id
* cleaning
* fix desc issue
* fix tool usage
* fix structured output
* cleaning
* fix for api
* rm
* fix input images
Ruben FiszelandClaude Opus 4.6
centdix
Devdatta Talele
HugoCasa
