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
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@@ -1,6 +1,6 @@
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"""LLM factory — centralised model instantiation via LiteLLM.
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Every agent and the orchestrator call ``get_llm()`` or ``get_router_llm()``
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Every agent and the deep-agent supervisors call ``get_llm()`` or ``get_router_llm()``
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instead of directly constructing a provider-specific class. The model string
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follows the `LiteLLM model naming convention
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<https://docs.litellm.ai/docs/providers>`_:
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