* chore: extract reasoning to its own package
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* make sure we detect thinking tokens from template
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Allow to override via config, add tests
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
---------
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
This PR adds support to support the 'reasoning' API field of the OpenAI
spec.
LocalAI now will extract automatically thinking tags in both SSE and
non-SSE mode. The changes are adapted as well to the Chat UI now that
will use the reasoning field to extract the thinking process and display
it in the chat.
This fixes https://github.com/mudler/LocalAI/issues/7944
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Initial plan
* Add tool/function calling schema support to Anthropic Messages API
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
* Add E2E tests for Anthropic tool calling
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
* Make tool calling tests require model to use tools
- First test now expects hasToolUse to be true with clear error message
- Third test now expects toolUseID to be non-empty (removed conditional)
- Both tests will now fail if model doesn't call the expected tools
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
* Add E2E test for tool calling with streaming responses
- Tests that streaming events are properly emitted (content_block_start/delta/stop)
- Verifies tool_use blocks are accumulated correctly in streaming mode
- Ensures model calls tools and stop_reason is set to tool_use
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
---------
Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
* feat(function): Add XML Tool Call Parsing Support
Extend the function parsing system in LocalAI to support XML-style tool calls, similar to how JSON tool calls are currently parsed. This will allow models that return XML format (like <tool_call><function=name><parameter=key>value</parameter></function></tool_call>) to be properly parsed alongside text content.
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* thinking before tool calls, more strict support for corner cases with no tools
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Support streaming tools
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Iterative JSON
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Iterative parsing
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Consume JSON marker
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Fixup
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* add tests
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Fix pending TODOs
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Don't run other parsing with ParseRegex
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
---------
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* fix: resolve duplicate MCP route registration causing 50% failure rate
Fixes#7772
The issue was caused by duplicate registration of the MCP endpoint
/mcp/v1/chat/completions in both openai.go and localai.go, leading
to a race condition where requests would randomly hit different
handlers with incompatible behaviors.
Changes:
- Removed duplicate MCP route registration from openai.go
- Kept the localai.MCPStreamEndpoint as the canonical handler
- Added all three MCP route patterns for backward compatibility:
* /v1/mcp/chat/completions
* /mcp/v1/chat/completions
* /mcp/chat/completions
- Added comments to clarify route ownership and prevent future conflicts
- Fixed formatting in ui_api.go
The localai.MCPStreamEndpoint handler is more feature-complete as it
supports both streaming and non-streaming modes, while the removed
openai.MCPCompletionEndpoint only supported synchronous requests.
This eliminates the ~50% failure rate where the cogito library would
receive "Invalid http method" errors when internal HTTP requests were
routed to the wrong handler.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
Signed-off-by: majiayu000 <1835304752@qq.com>
* Address feedback from review
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
---------
Signed-off-by: majiayu000 <1835304752@qq.com>
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Claude Sonnet 4.5 <noreply@anthropic.com>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
* chore: drop mode from image generation(unused)
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* feat(UI): improve image generation front-end
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* feat(UI): only ref images. files is to be deprecated
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* do not override default steps
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
---------
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* fix: Add usage fields to image generation response for OpenAI API compatibility
Fixes#7354
Added input_tokens, output_tokens, and input_tokens_details fields to the
image generation API response to comply with OpenAI's image generation API
specification. This resolves validation errors in LiteLLM and the OpenAI SDK.
Changes:
- Added InputTokensDetails struct with text_tokens and image_tokens fields
- Extended OpenAIUsage struct with input_tokens, output_tokens, and input_tokens_details
- Updated ImageEndpoint to populate usage object with required fields
- Updated InpaintingEndpoint to populate usage object with required fields
- All fields initialized to 0 as per current behavior
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
Signed-off-by: majiayu000 <1835304752@qq.com>
* fix: Correct usage field types for image generation API compatibility
Changed InputTokens and OutputTokens from pointer types (*int) to
regular int types to match OpenAI API specification. This fixes
validation errors with LiteLLM and OpenAI SDK when parsing image
generation responses.
Fixes#7354🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
Signed-off-by: majiayu000 <1835304752@qq.com>
---------
Signed-off-by: majiayu000 <1835304752@qq.com>
Co-authored-by: Claude Sonnet 4.5 <noreply@anthropic.com>
* feat: allow to set forcing backends eviction while requests are in flight
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* feat: try to make the request sit and retry if eviction couldn't be done
Otherwise calls that in order to pass would need to shutdown other
backends would just fail.
In this way instead we make the request sit and retry eviction until it
succeeds. The thresholds can be configured by the user.
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* add tests
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* expose settings to CLI
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Update docs
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
---------
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* chore(makefile): Add buildargs for sd and cuda when building backend
Signed-off-by: Richard Palethorpe <io@richiejp.com>
* feat(whisper): Add prompt to condition transcription output
Signed-off-by: Richard Palethorpe <io@richiejp.com>
---------
Signed-off-by: Richard Palethorpe <io@richiejp.com>
* feat(loader): refactor single active backend support to LRU
This changeset introduces LRU management of loaded backends. Users can
set now a maximum number of models to be loaded concurrently, and, when
setting LocalAI in single active backend mode we set LRU to 1 for
backward compatibility.
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* chore: add tests
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Update docs
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Fixups
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
---------
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* feat(agent): agent jobs
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Multiple webhooks, simplify
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Do not use cron with seconds
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Create separate pages for details
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Detect if no models have MCP configuration, show wizard
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Make services test to run
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
---------
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* feat(ui): add watchdog settings
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Do not re-read env
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Some refactor, move other settings to runtime (p2p)
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Add API Keys handling
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Allow to disable runtime settings
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Documentation
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Small fixups
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* show MCP toggle in index
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Drop context default
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
---------
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* feat(importer): support ollama and OCI, unify code
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* feat: support importing from local file
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* support also yaml config files
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Correctly handle local files
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Extract importing errors
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Add importer tests
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Add integration tests
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* chore(UX): improve and specify supported URI formats
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* fail if backend does not have a runfile
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Adapt tests
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* feat(gallery): add cache for galleries
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* fix(ui): remove handler duplicate
File input handlers are now handled by Alpine.js @change handlers in chat.html.
Removed duplicate listeners to prevent files from being processed twice
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* fix(ui): be consistent in attachments in the chat
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Fail if no importer matches
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* fix: propagate ops correctly
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Fixups
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
---------
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* feat: add support to logprobs in results
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* feat: add support to logitbias
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
---------
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Move management to separate section
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Make index to redirect to chat
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Use logo in index
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* work out the wizard in the front-page
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
---------
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* feat(mcp): add LocalAI endpoint to stream live results of the agent
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* wip
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Refactoring
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* MCP UX integration
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Enhance UX
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Support also non-SSE
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
---------
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* feat: initial hook to install elements directly
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* WIP: ui changes
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Move HF api client to pkg
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Add simple importer for gguf files
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Add opcache
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* wire importers to CLI
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Add omitempty to config fields
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Fix tests
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Add MLX importer
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Small refactors to star to use HF for discovery
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Add tests
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Common preferences
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Add support to bare HF repos
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* feat(importer/llama.cpp): add support for mmproj files
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* add mmproj quants to common preferences
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Fix vlm usage in tokenizer mode with llama.cpp
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
---------
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Initial plan
* Fix SSE streaming format to comply with specification
- Replace json.Encoder with json.Marshal for explicit formatting
- Use explicit \n\n for all SSE messages (instead of relying on implicit newlines)
- Change %v to %s format specifier for proper string formatting
- Fix error message streaming to include proper SSE format
- Ensure consistency between chat.go and completion.go endpoints
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
* Add proper error handling for JSON marshal failures in streaming
- Handle json.Marshal errors explicitly in error response paths
- Add fallback simple error message if marshal fails
- Prevents sending 'data: <nil>' on marshal failures
- Addresses code review feedback
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
* Fix SSE streaming format to comply with specification
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
* Fix finish_reason field to use pointer for proper null handling
- Change FinishReason from string to *string in Choice schema
- Streaming chunks now omit finish_reason (null) instead of empty string
- Final chunks properly set finish_reason to "stop", "tool_calls", etc.
- Remove empty content from initial streaming chunks (only send role)
- Final streaming chunk sends empty delta with finish_reason
- Addresses OpenAI API compliance issues causing client failures
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
* Improve code consistency for string pointer creation
- Use consistent pattern: declare variable then take address
- Remove inline anonymous function for better readability
- Addresses code review feedback
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
* Move common finish reasons to constants
- Create constants.go with FinishReasonStop, FinishReasonToolCalls, FinishReasonFunctionCall
- Replace all string literals with constants in chat.go, completion.go, realtime.go
- Improves code maintainability and prevents typos
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
* Make it build
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Fix finish_reason to always be present with null or string value
- Remove omitempty from FinishReason field in Choice struct
- Explicitly set FinishReason to nil for all streaming chunks
- Ensures finish_reason appears as null in JSON for streaming chunks
- Final chunks still properly set finish_reason to "stop", "tool_calls", etc.
- Complies with OpenAI API specification example
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
---------
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
Co-authored-by: Ettore Di Giacinto <mudler@users.noreply.github.com>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
* feat: respect context
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* workaround fasthttp
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* feat(ui): allow to abort call
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Refactor
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* chore: improving error
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Respect context also with MCP
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Tie to both contexts
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Make detection more robust
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
---------
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* feat(llama.cpp): expose env vars as options for consistency
This allows to configure everything in the YAML file of the model rather
than have global configurations
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* feat(llama.cpp): respect usetokenizertemplate and use llama.cpp templating system to process messages
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* WIP
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Detect template exists if use tokenizer template is enabled
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Better recognization of chat
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Fixes to support tool calls while using templates from tokenizer
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Fixups
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Drop template guessing, fix passing tools to tokenizer
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Extract grammar and other options from chat template, add schema struct
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* WIP
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* WIP
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Automatically set use_jinja
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Cleanups, identify by default gguf models for chat
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Update docs
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
---------
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Because of this, the first calls to the MCP endpoint would fail and
later would succeeds thanks to the cache.
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* WIP - add endpoint
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Rename
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Wire the Completion API
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Try to make it functional
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Almost functional
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Bump golang versions used in tests
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Add description of the tool
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Make it working
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Small optimizations
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Cleanup/refactor
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Update docs
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
---------
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* fix(ci): Avoid matching wrong backend with the same prefix
Signed-off-by: Richard Palethorpe <io@richiejp.com>
* chore(whisper): Use Purego and enable VAD
This replaces the Whisper CGO bindings with our own Purego based module
to make compilation easier.
In addition this allows VAD models to be loaded by Whisper. There is not
much benefit now except that the same backend can be used for VAD and
transcription. Depending on upstream we may also be able to use GPU for
VAD in the future, but presently it is disabled.
Signed-off-by: Richard Palethorpe <io@richiejp.com>
---------
Signed-off-by: Richard Palethorpe <io@richiejp.com>
Co-authored-by: Ettore Di Giacinto <mudler@users.noreply.github.com>
* feat(diffusers): add support for wan2.2
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* chore(ci): use ttl.sh for PRs
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Add ftfy deps
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Revert "chore(ci): use ttl.sh for PRs"
This reverts commit c9fc3ecf28.
* Simplify
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* chore: do not pin torch/torchvision on cuda12
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
---------
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
