Carlos Garcia 65920d6128 feat: auto-inject Odoo workflow context into every agent execution ...

BaseAgent._lookup_odoo_context() calls odoo_doc_agent via PeerBus before
_plan() runs on every directive. The RAG answer is stored in
self._gathered['odoo_context'] and injected into every _loop() LLM call
so agents reason with correct Odoo 18 workflow steps automatically.

No changes required to individual agents. odoo_doc_agent opts out via
auto_rag=False to prevent self-referential calls.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

2026-05-14 23:35:03 -04:00

..

agents

feat: auto-inject Odoo workflow context into every agent execution

2026-05-14 23:35:03 -04:00

llm

fix(agent): add missing ping() to OllamaBackend and OdooClient

2026-05-12 22:51:03 -04:00

logging_utils

feat(infra): add sweep coordinator, structured logging, test suite, and README

2026-04-12 18:08:11 -04:00

mcp

feat(mcp): add MCP gateway — 14 tools over SSE, all agent calls forced local

2026-04-15 16:45:49 -04:00

memory

feat: add 3-tier memory layer

2026-04-12 16:51:39 -04:00

migrations

fix: MemoryManager kwarg 'llm' -> 'llm_router'; fix alembic script_location

2026-04-24 17:43:03 -04:00

prompts

feat(agent): direct-answer fallback for non-Odoo questions

2026-04-24 23:27:06 -04:00

routers

fix(agent): align /dispatch with MasterAgent.handle_message signature

2026-04-24 23:06:24 -04:00

tools

fix(agent): add missing ping() to OllamaBackend and OdooClient

2026-05-12 22:51:03 -04:00

app_state.py

feat(service): add FastAPI agent service with 5 routers and Docker setup

2026-04-12 17:54:28 -04:00

config.py

Switch default Ollama model to activeblue-chat (fine-tuned Llama 3.1 8B)

2026-05-14 13:31:22 +00:00

main.py

feat: register OdooDocAgent as PeerBus specialist agent

2026-05-14 22:53:29 -04:00