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Copilot AI commented Jan 10, 2026

Summary: Tool/Function Calling Support for Anthropic Messages API ✅

Successfully implemented comprehensive tool/function calling support for the Anthropic Messages API endpoint (/v1/messages), bringing it to feature parity with the OpenAI chat completions endpoint.

Completed Tasks

  • Schema Updates (core/schema/anthropic.go)

    • Add Tools field to AnthropicRequest
    • Add ToolChoice field to AnthropicRequest
    • Add AnthropicTool struct definition
    • Enhance AnthropicContentBlock to support tool_use and tool_result types
    • Add ToolUseID, Content, IsError fields for tool_result
    • Add PartialJSON field to AnthropicStreamDelta for input_json_delta
  • Endpoint Implementation (core/http/endpoints/anthropic/messages.go)

    • Convert Anthropic tools to internal Functions format
    • Pass tools to template evaluator
    • Parse tool calls from model output
    • Return tool_use content blocks in responses
    • Handle tool_result content blocks in input messages
    • Set stop_reason to "tool_use" when tools are called
    • Handle tool_choice parameter mapping (auto/any/specific tool)
  • Streaming Support

    • Emit content_block_start for tool_use
    • Emit content_block_delta with input_json_delta
    • Emit content_block_stop for tool_use
    • Update message_delta with tool_use stop_reason
  • Testing

    • Schema tests (21 tests passing)
    • E2E test for non-streaming tool calls - requires model to call tools
    • E2E test for streaming tool calls - validates proper event emission
    • E2E test for tool_choice parameter handling
    • E2E test for multi-turn conversations with tool results
    • Code compiles successfully
    • Security scan passed (0 issues)

Test Coverage

The implementation includes comprehensive E2E tests that validate:

  • Non-streaming tool calls: Verifies the model calls tools and returns proper tool_use blocks with stop_reason set to "tool_use"
  • Streaming tool calls: Ensures streaming events (content_block_start/delta/stop) are properly emitted and tool_use blocks are correctly accumulated
  • Tool choice handling: Tests the tool_choice parameter with auto mode
  • Multi-turn conversations: Validates handling of tool_result blocks in follow-up messages

All tests require the model to actually call the provided tools and will fail if tools are not used as expected.

Key Features

Tool Definitions: Full support for Anthropic's tool schema with name, description, and input_schema
Tool Choice Options:

  • "auto" - model decides
  • "any" - force tool use
  • {"type": "tool", "name": "..."} - force specific tool
    Tool Use: Returns tool_use content blocks with ID, name, and parsed input
    Tool Results: Handles tool_result blocks in messages for multi-turn tool interactions
    Streaming: Incremental tool call detection and proper event emission
    Compatibility: Uses same internal functions as OpenAI endpoint for consistency

Implementation Quality

  • ✅ No compilation errors
  • ✅ All tests passing
  • ✅ No security vulnerabilities
  • ✅ Follows existing code patterns
  • ✅ Proper error handling
  • ✅ Comprehensive logging

The implementation is production-ready and fully compatible with the Anthropic Messages API specification.

Original prompt

Summary

Add tool/function calling support to the Anthropic Messages API endpoint (/v1/messages) to match the functionality already available in the OpenAI chat completions endpoint. This is a follow-up to PR #7948 which added basic Anthropic Messages API support.

Background

PR #7948 added the Anthropic Messages API endpoint to LocalAI, enabling it to act as a drop-in replacement for Anthropic's Claude API. However, the current implementation only supports basic chat completions without tool/function calling capabilities.

The OpenAI endpoints already have robust tool calling support via:

  • Tools and ToolsChoice fields in OpenAIRequest
  • ToolCall schema type for responses
  • Processing via processTools function in core/http/endpoints/openai/chat.go

Requirements

1. Schema Updates (core/schema/anthropic.go)

Add the following to support Anthropic's tool use format (https://docs.anthropic.com/claude/docs/tool-use):

  • Add Tools field to AnthropicRequest - array of tool definitions
  • Add ToolChoice field to AnthropicRequest - can be "auto", "any", or {"type": "tool", "name": "tool_name"}
  • Add AnthropicTool struct with fields:
    • Name (string)
    • Description (string)
    • InputSchema (map[string]interface{}) - JSON Schema for parameters
  • Update AnthropicContentBlock to fully support:
    • type: "tool_use" with id, name, and input fields
    • type: "tool_result" with tool_use_id, content, and optional is_error fields
  • Add AnthropicStreamDelta support for input_json_delta type (for streaming tool call arguments)

2. Endpoint Updates (core/http/endpoints/anthropic/messages.go)

  • Convert Anthropic tools to the internal functions.Functions format used by LocalAI
  • Pass tools to the template evaluator and model inference (similar to OpenAI chat endpoint)
  • Detect when the model wants to use tools (parse tool call output)
  • Return tool_use content blocks in responses when tools are called
  • Set stop_reason to "tool_use" when returning tool calls
  • Handle incoming tool_result content blocks in messages from clients

3. Message Conversion Updates

Update convertAnthropicToOpenAIMessages() to:

  • Handle tool_use content blocks (convert to internal tool call format)
  • Handle tool_result content blocks (convert to internal tool response format)
  • Preserve tool call IDs for proper request/response matching

4. Streaming Support

For streaming responses with tool calls:

  • Emit content_block_start event with type: "tool_use", id, and name
  • Emit content_block_delta events with type: "input_json_delta" containing partial JSON
  • Emit content_block_stop event when tool call is complete
  • Set appropriate stop_reason in message_delta

5. Tool Choice Handling

Map Anthropic's tool_choice options:

  • "auto" (default) - model decides whether to use tools
  • "any" - model must use one of the provided tools
  • {"type": "tool", "name": "..."} - model must use the specific named tool

6. Tests

Add tests for:

  • Schema serialization/deserialization with tools
  • Tool call detection and parsing
  • Streaming with tool calls
  • E2E tests using the anthropic-sdk-go client with tools

Reference Implementation

The OpenAI implementation in core/http/endpoints/openai/chat.go shows how tool calling is currently handled:

  • Lines 67-300+ handle tool processing with processTools function
  • Uses functions.Functions and functions.Tool types
  • Parses tool calls from model output using XML or JSON formats
  • Returns tool_calls in the response with proper structure

Anthropic API Reference

This pull request was created from Copilot chat.


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Copilot AI changed the title [WIP] Add tool/function calling support to Anthropic Messages API Add tool/function calling support to Anthropic Messages API Jan 10, 2026
Copilot AI requested a review from mudler January 10, 2026 12:10
@mudler mudler changed the title Add tool/function calling support to Anthropic Messages API feat: add tool/function calling support to Anthropic Messages API Jan 10, 2026
Expect(message.Content).ToNot(BeEmpty())

// Check if there's a tool use in the response
hasToolUse := false
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@copilot in this test we have to assume that we the model will have to call the tools or this should be recorded as a failure

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Updated the tests to require tool usage. The first test now asserts Expect(hasToolUse).To(BeTrue()) with a clear error message, and the third test expects toolUseID to be non-empty. Both tests will now fail if the model doesn't call the expected tools. (29de7ec)

Expect(message.Content).ToNot(BeEmpty())
})

It("handles tool results in messages", func() {
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@copilot let's add also a test for tool call with streaming responses

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Added a comprehensive test for tool calling with streaming responses. The test verifies that:

  • Streaming events are properly emitted (content_block_start, content_block_delta, content_block_stop)
  • Tool use blocks are correctly accumulated from the stream
  • The model calls the tool and stop_reason is set to tool_use

(2b9ab03)

- 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 <[email protected]>
- 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 <[email protected]>
@mudler mudler marked this pull request as ready for review January 10, 2026 17:37
@mudler mudler merged commit 5ca8f0a into master Jan 10, 2026
35 checks passed
@mudler mudler deleted the copilot/add-tool-calling-support-anthropic-messages branch January 10, 2026 17:44
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2 participants