21 Commits

• chore: Bump version to 0.5.20
  Mario Zechner · 2025-09-01 18:44:15 +02:00
  add1b76b6c
• chore: Bump version to 0.5.19
  Mario Zechner · 2025-08-31 23:56:58 +02:00
  5d5cd7955b
• chore: Bump version to 0.5.18
  Mario Zechner · 2025-08-31 23:49:29 +02:00
  f87ac359bb
• chore: Bump version to 0.5.17
  Mario Zechner · 2025-08-31 23:09:35 +02:00
  683263ba27
• chore: Bump version to 0.5.16
  Mario Zechner · 2025-08-31 22:17:35 +02:00
  8f4e96f207
• chore: Bump version to 0.5.15
  Mario Zechner · 2025-08-31 22:11:50 +02:00
  0f2eaa70e9
• 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
• chore: Mark AI package implementation task as complete

  - Moved completed AI package implementation task to done folder
  - Task successfully implemented the unified AI API (@mariozechner/pi-ai)
  - Package renamed, documentation improved, and published as v0.5.12

  Mario Zechner · 2025-08-30 21:53:23 +02:00
  8b12312d72
• docs(ai): Fix model names in README examples

  - Changed gpt-4o-mini to gpt-5-mini in examples to match actual model names
  - Minor formatting fixes

  Mario Zechner · 2025-08-30 21:48:17 +02:00
  889208dccd
• docs(ai): Improve README with model discovery and capabilities documentation

  - Added note that library only includes tool-calling capable models
  - Added Model Discovery section showing how to enumerate models
  - Added examples for finding models with specific capabilities
  - Added cache read/write costs to model capabilities display
  - Clarified that models are auto-fetched from APIs at build time

  Mario Zechner · 2025-08-30 21:46:54 +02:00
  dae40167a3
• feat(ai): Rename package to @mariozechner/pi-ai and improve documentation

  - Changed package name from @mariozechner/ai to @mariozechner/pi-ai
  - Fixed generate-models.ts to fetch from models.dev API instead of local file
  - Completely rewrote README with practical examples:
    - Image input with base64 encoding
    - Proper tool calling with context management
    - Streaming with completion indicators
    - Abort signal usage
    - Provider-specific options (reasoning/thinking)
    - Custom model definitions for local/self-hosted LLMs
    - Environment variables explanation
  - Bumped version to 0.5.9 and published

  Mario Zechner · 2025-08-30 21:41:22 +02:00
  d46a98ec10
• 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): 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
• feat(ai): Add auto-generated TypeScript models with factory function

  - Generate models.generated.ts from models.json with proper types
  - Categorize providers: OpenAI (Responses), OpenAI-compatible, Anthropic, Gemini
  - Create createLLM() factory with TypeScript overloads for type safety
  - Auto-detect base URLs and environment variables for providers
  - Support 353 models across 39 providers with full autocompletion
  - Exclude generated file from git (rebuilt on npm build)

  Mario Zechner · 2025-08-25 21:31:29 +02:00
  da66a97ea7
• 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
• 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): 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
• 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
• feat(ai): Create unified AI package with OpenAI, Anthropic, and Gemini support

  - Set up @mariozechner/ai package structure following monorepo patterns
  - Install OpenAI, Anthropic, and Google Gemini SDK dependencies
  - Document comprehensive API investigation for all three providers
  - Design minimal unified API with streaming-first architecture
  - Add models.dev integration for pricing and capabilities
  - Implement automatic caching strategy for all providers
  - Update project documentation with package creation guide

  Mario Zechner · 2025-08-17 20:18:45 +02:00
  f064ea0e14