6 Commits

Include renames

Author	SHA1	Message	Date
jpmschweitzerandClaude Opus 4.5	31e7884d8f	fix: remove Steward analysis from user-visible reasoning ... The Steward's internal routing analysis (DELEGATE, COMPLEXITY, etc.) was being exposed in <think> blocks. This is implementation detail, not useful reasoning for the user. Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>	2026-02-05 12:19:05 +01:00
jpmschweitzerandClaude Opus 4.5	d5e5fc1ad8	fix: Ollama message sanitization and streaming think slugs ... - Fix `invalid message content type: <nil>` error from Ollama - Create TatlockOllamaProvider that sanitizes messages (null → "") - Update all agents to use sanitized provider - Fix repeating think messages by adding ReasoningSummaryDone signal 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>	2025-12-16 00:19:03 +01:00
jpmschweitzerandClaude Opus 4.5	49f0da8068	feat: two-phase execution, think slugs, query enrichment (v1.6.0) ... Two-Phase Tatlock Execution: - orchestrate_tool_calls() for Phase 1 coordination - synthesize_from_results() for Phase 2 butler-toned synthesis - Guarantees butler personality in all responses Automatic Think Slugs: - Deterministic butler-perspective messages during expert delegation - ActionType enum: RETRIEVE, RESEARCH, CREATE, CONTROL, RECORD - HOUSEHOLD_THINK_MESSAGES mapping for all experts - Streaming delegation wrappers with automatic think messages Steward Query Enrichment: - Auto-fill user context (location, timezone) when not specified - _build_enriched_query() with regex word boundary matching - enriched_query field in StewardRecommendation schema Documentation: - ORCHESTRATION_SCENARIOS.md rewritten with Mermaid diagrams - New Housekeeper and Biographer scenarios - TESTING_IMPROVEMENTS.md for future LLM testing patterns 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>	2025-12-15 14:00:32 +01:00
jpmschweitzerandClaude Sonnet 4.5	4d109100fe	fix: implement proper streaming with PydanticAI delta mode ... Fix streaming issues that caused text repetition and broken tool execution in Open WebUI. Implements real LLM streaming using PydanticAI's run_stream() with delta=True instead of artificial word-by-word chunking. **Fixed:** - Text repetition in streaming output (was accumulating instead of deltas) - Broken tool execution (tools now execute properly in streaming mode) - Invalid 'thinking' parameter in ReasoningOutputItem schema **Changes:** - Add run_with_scoped_tools_stream() method to TatlockAgent - Uses PydanticAI's run_stream() with delta=True for real deltas - Properly streams LLM output with tool execution - Update StreamingCoordinator.stream_response_with_steward() - Uses new streaming method instead of fake word-by-word streaming - Removes invalid thinking parameter from ReasoningOutputItem - All streaming now uses actual LLM deltas, not accumulated text Resolves streaming issues reported in Open WebUI where responses showed repetitive text and tool calls appeared as raw JSON instead of executed results. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>	2025-12-07 15:39:52 +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	ff6c3cf1b5	Add Responses API with streaming, history, and advanced features ... Implements Phases 2, 3, and 6: Complete Responses API implementation Core API (Phase 2): - OpenAI Responses API format with structured output items - Streaming and non-streaming support via SSE-Starlette - Reasoning items (thinking summaries) - Function call items (tool execution) - Message items (assistant responses) - Router, schemas, service, and streaming coordinator Conversation History (Phase 3): - Hybrid client/server approach - Auto-generated deterministic conversation IDs - Configurable max turns with automatic trimming - Context window management with token counting - Token usage statistics - Placeholder for future vector memory integration Advanced Features (Phase 6): - Parameter validation with Pydantic field validators: - Temperature: 0.0-2.0 range enforcement - Reasoning effort: 6 levels (none to xhigh) - Max output tokens: positive integer enforcement - Stop sequences: up to 4, non-empty strings - Real-time stop sequence detection during streaming - Real-time max tokens enforcement with token counting - Graceful error handling and OpenAI-compatible error format Testing: - 9 unit tests for API endpoints and streaming - 11 unit tests for error handling - 13 unit tests for conversation history and context - 12 unit tests for advanced features and validation - Total: 45 tests with comprehensive coverage 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>	2025-12-06 19:38:00 +01:00