5 Commits

Include renames

Author	SHA1	Message	Date
jpmschweitzerandClaude Opus 4.5	4907798e74	fix: use reasoning_content for Open WebUI streaming ... Use DeepSeek R1 format (reasoning_content field) instead of <think> tags in content. Open WebUI now renders thinking as proper collapsible blocks instead of broken escaped HTML. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>	2025-12-16 00:56:45 +01:00
jpmschweitzerandClaude Sonnet 4.5	6eed5f4d13	feat: implement Phase 2 two-tier architecture with Steward ... Add comprehensive two-tier architecture where Steward analyzes requests and Tatlock executes with scoped tools. Includes full infrastructure for request preprocessing, tool tracking, benchmarking, and streaming. **Added:** - Steward agent for request analysis and capability recommendation - Household Registry for centralized capability management - Request preprocessing pipeline (Steward → Tatlock flow) - Tool usage tracking and benchmarking system - Streaming transparency (Steward reasoning visible in streams) - Structured logging with operation timing - Redis benchmark storage with 30-day expiry - Benchmark analysis CLI tools **Infrastructure:** - src/agents/steward/ - Steward agent implementation - src/agents/tatlock_core/ - Tatlock capability domain - src/core/preprocessing.py - Request preprocessing pipeline - src/core/tool_tracking.py - Tool call tracking - src/core/benchmarks.py - Benchmark recording system - src/core/household_registry.py - Capability registry - src/core/startup.py - Application startup coordination - src/core/logging_config.py - Structured logging setup **Integration:** - Responses API uses Steward for Tatlock requests - Chat Completions wraps Responses API for OpenAI compatibility - Streaming coordinator supports Steward + Tatlock flow - Tool scoping per request based on Steward recommendations **Testing:** - Integration tests for Steward-Tatlock flow - Benchmark and registry unit tests - Steward streaming tests See PHASE2_PLAN.md and PHASE2_COMPLETE.md for detailed documentation. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>	2025-12-07 15:39:20 +01:00
jpmschweitzer	4216d89f12	fix: resolve streaming duplication and markdown formatting issues ... - Fix text duplication bug with proper delta calculation - Preserve markdown formatting with chunk-based delivery (50 chars) - Handle GeneratorExit errors from async context managers - Update Chat service streaming to preserve formatting - Ensure proper word-by-word streaming without duplicates	2025-12-07 00:12:52 +01:00
jpmschweitzerandClaude	5e40704d91	Add Chat Completions wrapper with reasoning conversion ... Implements Phase 5: OpenAI Chat Completions compatibility layer Features: - Wraps Responses API for single source of truth - Automatically enables reasoning generation - Converts reasoning items to <think> tags for Open WebUI - Maintains OpenAI-compatible chat completion format - Supports both streaming and non-streaming modes - Pipeline prefix preservation for model names - System message handling Architecture: - Service layer calls Responses API internally - Streams word-by-word for smooth UX - Reasoning displayed in thought bubbles (Open WebUI) - Main response shown separately from thinking Error Handling: - Enhanced exception types (RateLimitError, ContextLengthError) - OpenAI-compatible error format - Graceful error propagation from Responses API Testing: - 6 unit tests for chat router functionality - 6 unit tests for streaming wrapper behavior - Total: 12 tests with comprehensive coverage 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>	2025-12-06 19:38:35 +01:00
jpmschweitzerandClaude	cf6aa9a5e7	Implement chat completions domain with mock responses ... Add OpenAI-compatible chat completions endpoint with streaming support. Currently returns mock lorem ipsum responses (Ollama integration pending). Chat Router (src/chat/router.py): - POST /v1/chat/completions endpoint - Streaming and non-streaming support - SSE format with EventSourceResponse - 20-second timeout protection - OpenAI-compatible response format Chat Schemas (src/chat/schemas.py): - ChatMessage, ChatCompletionRequest - ChatCompletionResponse, ChatCompletionChoice - ChatCompletionChunk for streaming - Full OpenAI API compatibility Chat Service (src/chat/service.py): - create_chat_completion() - non-streaming - create_chat_completion_stream() - streaming word-by-word - Mock lorem ipsum responses - Token usage calculation Chat Constants (src/chat/constants.py): - OpenAI API constants for consistency - Object types, roles, finish reasons Following Best Practices: - Business logic in service layer - Router only handles HTTP concerns - Async generators for streaming - Type hints throughout Model: mistral-nemo:latest Status: Mock implementation (ready for Ollama integration) 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>	2025-12-06 10:36:57 +01:00