2 Commits

Author	SHA1	Message	Date
roberto	cfc9d7a942	refactor: replace orchestrator with LangGraph deep-agent supervisors ... - Add app/core/deep_agent.py with Home and Floating supervisor graphs using LangGraph create_react_agent (hierarchical pattern) - Strip ChatAgent classes from all 4 agent files, keep @tool functions - Rewrite output_formatter.py for event-based (token/tool_end/mutations) stream - Update device_ws.py to use run_home_stream/run_floating_stream - Rewrite chat.py REST route to use run_home - Add update_core_memory tool to both supervisors - Add langgraph>=0.3.0 to requirements.txt - Remove orchestrator.py, execution_plan.py, agent_registry.py, plans.py - Remove PlanAction, PlanStep, ExecutionPlan, execution_mode from schemas - Update all affected tests to match new API - Remove 6 deprecated test files for deleted modules - Clean up stale docstrings referencing removed orchestrator	2026-03-11 17:50:22 +01:00
roberto	e6b5bc2e7d	step-7: add memory middleware (memory_middleware.py, device_ws.py) ... MemoryMiddleware class: - enrich_context(): loads core prefs, associative (top-k), episodic (last-N), and proactive hints (above 0.6 confidence) — all decrypted in-memory only - store_episode(): encrypts and persists interaction summary to memory_episodic - update_core(): upserts encrypted key/value to memory_core device_ws.py home_request + popup_request handlers: - enrich_context() called before orchestrate_v3_stream (memory injected into context) - store_episode() called after stream completes (non-blocking) 10 unit + integration tests pass; pre-existing test_agents.py failures unrelated. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>	2026-03-08 22:14:28 +01:00