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>
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@@ -95,13 +95,35 @@ async def create_response(
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logger.info(f"Response request for model: {request.model}")
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try:
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# Check if this is a Tatlock request - use Steward preprocessing (Phase 2)
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model_id = request.model
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if "." in model_id:
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model_id = model_id.split(".", 1)[1]
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use_steward = model_id.lower() == "tatlock"
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if request.stream:
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logger.info("Streaming response requested")
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return EventSourceResponse(
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service.create_response_stream(request)
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)
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if use_steward:
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logger.info("Streaming with Steward preprocessing for Tatlock request")
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# Use Steward + Tatlock streaming (Milestone 3.5)
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from src.responses.streaming import StreamingCoordinator
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coordinator = StreamingCoordinator()
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return EventSourceResponse(
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coordinator.stream_response_with_steward(request)
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)
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else:
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# Regular streaming for non-Tatlock models
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return EventSourceResponse(
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service.create_response_stream(request)
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)
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return await service.create_response(request)
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# Use appropriate service method
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if use_steward:
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logger.info("Using Steward preprocessing for Tatlock request")
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return await service.create_response_with_steward(request)
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else:
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return await service.create_response(request)
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except ModelNotFoundError as e:
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logger.error(f"Model not found: {e}")
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