- 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
- Add app/api/routes/agents.py with 11 endpoints:
GET/POST/PUT/DELETE /agents/local (local directory agent configs)
GET/POST/PUT/DELETE /agents/cloud (cloud connector agent configs)
GET /agents/catalog (hardcoded agent type catalog)
GET /agents/runs (paginated run logs with agent_id/page/limit filters)
POST /agents/{id}/run (manual trigger stub, dispatch wired in step 3.4)
- Tier-gate creation via combined local+cloud batch_active limit
- Ownership checks on all mutations (404 on mismatch)
- Cascade delete of run logs via SQLAlchemy relationship
- Register agents router in app/main.py
- Fix missing import json in app/agents/task_agent.py
- Replaced direct instantiation of ChatOpenAI with a centralized get_llm function in CheckpointAgent, NoteAgent, ProjectAgent, and TaskAgent.
- Introduced a new llm.py module to handle LLM model instantiation and API key management.
- Updated settings.py to include LLM_MODEL and LLM_ROUTER_MODEL configurations.
- Modified orchestrator.py to use get_router_llm for intent classification.
- Updated requirements.txt to include litellm for LLM management.
- Adjusted tests to mock get_llm instead of ChatOpenAI directly.
- Updated `TestModuleSingletons` in `test_execution_plan.py` to reflect new agent templates and playbook names.
- Changed assertions in playbook tests to match updated templates and agents.
- Introduced `test_storage.py` to cover the storage layer, including encryption, BlobStore, and VectorStore functionalities.
- Added tests for S3 interactions, ensuring upload, download, delete, and list operations work as expected.
- Implemented mock tests for Pinecone and Qdrant vector stores to validate upsert, search, and delete operations.
