- Added FastAPI-based API structure with routers for runs and settings management.
- Implemented endpoints for creating, listing, and retrieving run configurations.
- Introduced settings management with load and update functionality.
- Created models for run configurations and settings using Pydantic.
- Established a store for managing run states and results.
- Enhanced .gitignore to exclude node_modules and results directories.
- Added package.json and package-lock.json for frontend dependencies.
- Included initial tests for API endpoints and model validations.
- Introduced a new API structure with FastAPI, including routers for runs and settings.
- Implemented endpoints for creating, listing, and retrieving run configurations.
- Added settings management with load and update functionality.
- Integrated SQLite checkpointing for durable state management during analysis.
- Updated dependencies in `pyproject.toml` and `requirements.txt` to include FastAPI and related packages.
- Enhanced `.gitignore` to exclude SQLite checkpoints and results directories.
InvestDebateState was missing bull_history, bear_history, judge_decision.
RiskDebateState was missing aggressive_history, conservative_history,
neutral_history, latest_speaker, judge_decision. This caused KeyError
in _log_state() and reflection, especially with edge-case config values.
Prevents UnicodeEncodeError on Windows where the default encoding
(cp1252/gbk) cannot handle Unicode characters in LLM output.
Closes#77, closes#114, closes#126, closes#215, closes#332
- Add StatsCallbackHandler for tracking LLM calls, tool calls, and tokens
- Integrate callbacks into TradingAgentsGraph and all LLM clients
- Dynamic agent/report counts based on selected analysts
- Fix report completion counting (tied to agent completion)
Ali AL OGAILI
Yijia-Xiao
makk9
luohy15
mirza-samad-ahmed-baig
Edward Sun
maxer137