- 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.
- Add http_client and http_async_client parameters to all LLM clients
- OpenAIClient, GoogleClient, AnthropicClient now support custom httpx clients
- Fixes SSL certificate verification errors on Windows Conda environments
- Users can now pass custom httpx.Client with verify=False or custom certs
Fixes#369
- 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
阳虎
Yijia Xiao