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22 Commits

  • feat(ai): Add cross-provider message handoff support 
    - Add transformMessages utility to handle cross-provider compatibility
- Convert thinking blocks to <thinking> tagged text when switching providers
- Preserve native thinking blocks when staying with same provider/model
- Add comprehensive handoff tests verifying all provider combinations
- Fix OpenAI Completions to return partial results on abort
- Update tool call ID format for Anthropic compatibility
- Document cross-provider handoff capabilities in README
    Mario Zechner · 2025-09-01 18:43:49 +02:00
    46b5800d36
  • refactor(ai): Update API to support partial results on abort 
    - Anthropic, Google, and OpenAI Responses providers now return partial results when aborted
- Restructured streaming to accumulate content blocks incrementally
- Prevents submission of thinking/toolCall blocks from aborted completions in multi-turn conversations
- Makes UI development easier by providing partial content even when requests are interrupted
    Mario Zechner · 2025-09-01 01:57:45 +02:00
    bf1f410c2b
  • feat(ai): Add start event emission to all providers 
    - Emit start event with model and provider info after creating stream
- Add abort signal tests for all providers
- Update README abort signal section to reflect non-throwing API
- Fix model references in README examples
    Mario Zechner · 2025-08-31 23:09:14 +02:00
    a132b8140c
  • fix(ai): Fix OpenAI Responses provider multi-turn conversation support 
    - Collect complete output items during streaming instead of building blocks incrementally
- Handle reasoning summary parts with proper newline separation
- Support refusal content in message outputs
- Preserve full reasoning items and message IDs for multi-turn resubmission
- Emit proper streaming events for text and thinking deltas
    Mario Zechner · 2025-08-31 22:11:08 +02:00
    ee4c131873
  • refactor(ai): Update OpenAI Completions provider to new content block API
    Mario Zechner · 2025-08-31 20:59:57 +02:00
    a72e6d08d4
  • refactor(ai): Update API to support multiple thinking and text blocks 
    BREAKING CHANGE: AssistantMessage now uses content array instead of separate fields
- Changed AssistantMessage.content from string to array of content blocks
- Removed separate thinking, toolCalls, and signature fields
- Content blocks can be TextContent, ThinkingContent, or ToolCall types
- Updated streaming events to include start/end events for text and thinking
- Fixed multiTurn test to handle new content structure

Note: Currently only Anthropic provider is updated to work with new API
Other providers need to be updated to match the new interface
    Mario Zechner · 2025-08-31 19:32:12 +02:00
    f29752ac82
  • test(ai): Add image input test for Anthropic Haiku 3.5 
    - Added image handling test for Claude 3.5 Haiku
- Ensures vision capabilities are properly tested
    Mario Zechner · 2025-08-30 23:00:30 +02:00
    f8a81b9453
  • fix(ai): Fix OpenAI Responses provider multi-turn conversation support 
    - Added contentSignature tracking for assistant messages
- Fixed message format in convertToResponsesFormat (output_text instead of input_text)
- Properly preserve message IDs for multi-turn conversations
- Added proper ResponseOutputMessage type satisfaction
- Updated tests to cover more providers and multi-turn scenarios
    Mario Zechner · 2025-08-30 22:55:29 +02:00
    cff766d3e2
  • feat(ai): Add image input tests for vision-capable models 
    - Added image tests to OpenAI Completions (gpt-4o-mini)
- Added image tests to Anthropic (claude-sonnet-4-0)
- Added image tests to Google (gemini-2.5-flash)
- Tests verify models can process and describe the red circle test image
    Mario Zechner · 2025-08-30 18:37:17 +02:00
    796e48b80e
  • refactor(ai): Update LLM implementations to use Model objects 
    - LLM constructors now take Model objects instead of string IDs
- Added provider field to AssistantMessage interface
- Updated getModel function with type-safe model ID autocomplete
- Fixed Anthropic model ID mapping for proper API aliases
- Added baseUrl to Model interface for provider-specific endpoints
- Updated all tests to use getModel for model instantiation
- Removed deprecated models.json in favor of generated models
    Mario Zechner · 2025-08-30 00:21:03 +02:00
    f9d688d577
  • fix(ai): Deduplicate models and add Anthropic aliases 
    - Add proper Anthropic model aliases (claude-opus-4-1, claude-sonnet-4-0, etc.)
- Deduplicate models when same ID appears in both models.dev and OpenRouter
- models.dev takes priority over OpenRouter for duplicate IDs
- Fix test to use correct claude-3-5-haiku-latest alias
- Reduces Anthropic models from 11 to 10 (removed duplicate)
    Mario Zechner · 2025-08-29 23:34:01 +02:00
    d61d09b88d
  • refactor(ai): Implement unified model system with type-safe createLLM 
    - Add Model interface to types.ts with normalized structure
- Create type-safe generic createLLM function with provider-specific model constraints
- Generate models from OpenRouter API and models.dev data
- Strip provider prefixes for direct providers (google, openai, anthropic, xai)
- Keep full model IDs for OpenRouter-proxied models
- Clean separation: types.ts (Model interface), models.ts (factory logic), models.generated.ts (data)
- Remove old model scripts and unused dependencies
- Rename GeminiLLM to GoogleLLM for consistency
- Add tests for new providers (xAI, Groq, Cerebras, OpenRouter)
- Support 181 tool-capable models across 7 providers with full type safety
    Mario Zechner · 2025-08-29 23:19:47 +02:00
    c7618db3f7
  • feat(ai): Migrate tests to Vitest and add provider test coverage 
    - Switch from Node.js test runner to Vitest for better DX
- Add test suites for Grok, Groq, Cerebras, and OpenRouter providers
- Add Ollama test suite with automatic server lifecycle management
- Include thinking mode and multi-turn tests for all providers
- Remove example files (consolidated into test suite)
- Add VS Code test configuration
    Mario Zechner · 2025-08-29 21:32:45 +02:00
    3f36051bc6
  • fix(ai): Improve ModelInfo types based on actual data structure 
    - Remove catch-all [key: string]: any from ModelInfo
- Make all required fields non-optional (attachment, reasoning, etc.)
- Add proper union types for modalities (text, image, audio, video, pdf)
- Mark only cost and knowledge fields as optional
- Export ModalityInput and ModalityOutput types
    Mario Zechner · 2025-08-25 20:18:34 +02:00
    9b8ea585bd
  • feat(ai): Add models.dev data integration 
    - Add models script to download latest model information
- Create models.ts module to query model capabilities
- Include models.json in package distribution
- Export utilities to check model features (reasoning, tools)
- Update build process to copy models.json to dist
    Mario Zechner · 2025-08-25 20:10:54 +02:00
    02a9b4f09f
  • feat(ai): Add OpenAI-compatible provider examples for multiple services 
    - Add examples for Cerebras, Groq, Ollama, and OpenRouter
- Update OpenAI Completions provider to handle base URL properly
- Simplify README formatting
- All examples use the same OpenAICompletionsLLM provider with different base URLs
    Mario Zechner · 2025-08-25 17:41:47 +02:00
    4bb3a5ad02
  • test(ai): Add comprehensive E2E tests for all AI providers 
    - Add multi-turn test to verify thinking and tool calling work together
- Test thinkingSignature handling for proper multi-turn context
- Fix Gemini provider to generate base64 thinkingSignature when needed
- Handle multiple rounds of tool calls in tests (Gemini behavior)
- Make thinking tests more robust for model-dependent behavior
- All 18 tests passing across 4 providers
    Mario Zechner · 2025-08-25 15:54:26 +02:00
    7a6852081d
  • feat(ai): Add proper thinking support for Gemini 2.5 models 
    - Added thinkingConfig with includeThoughts and thinkingBudget support
- Use part.thought boolean flag to detect thinking content per API docs
- Capture and preserve thought signatures for multi-turn function calling
- Added supportsThinking() check for Gemini 2.5 series models
- Updated example to demonstrate thinking configuration
- Handle SDK type limitations with proper type assertions
    Mario Zechner · 2025-08-25 10:26:23 +02:00
    3e1422d3d7
  • feat(ai): Implement Gemini provider with streaming and tool support 
    - Added GeminiLLM provider implementation with GoogleGenerativeAI SDK
- Supports streaming with text/thinking content and completion signals
- Handles Gemini's parts-based content system (text, thought, functionCall)
- Implements tool/function calling with proper format conversion
- Maps between unified types and Gemini-specific formats (model vs assistant role)
- Added test example matching other provider patterns
- Fixed typo in AssistantMessage type (stopResaon -> stopReason) across all providers
    Mario Zechner · 2025-08-24 20:41:32 +02:00
    a8ba19f0b4
  • refactor(ai): Add completion signal to onText/onThinking callbacks 
    - Update LLMOptions interface to include completion boolean parameter
- Modify all providers to signal when text/thinking blocks are complete
- Update examples to handle the completion parameter
- Move documentation files to docs/ directory
    Mario Zechner · 2025-08-24 20:33:26 +02:00
    cb4c32faaa
  • feat(ai): Add OpenAI Completions and Responses API providers 
    - Implement OpenAICompletionsLLM for Chat Completions API with streaming
- Implement OpenAIResponsesLLM for Responses API with reasoning support
- Update types to use LLM/Context instead of AI/Request
- Add support for reasoning tokens, tool calls, and streaming
- Create test examples for both OpenAI providers
- Update Anthropic provider to match new interface
    Mario Zechner · 2025-08-24 20:18:10 +02:00
    8364ecde4a
  • feat(ai): Implement unified AI API with Anthropic provider 
    - Define clean API with complete() method and callbacks for streaming
- Add comprehensive type system for messages, tools, and usage
- Implement AnthropicAI provider with full feature support:
  - Thinking/reasoning with signatures
  - Tool calling with parallel execution
  - Streaming via callbacks (onText, onThinking)
  - Proper error handling and stop reasons
  - Cache tracking for input/output tokens
- Add working test/example demonstrating tool execution flow
- Support for system prompts, temperature, max tokens
- Proper message role types: user, assistant, toolResult
    Mario Zechner · 2025-08-17 23:30:20 +02:00
    e5aedfed29