- Add DashScope to CLI LLM provider selection (first option)
- Add DashScope support in TradingAgentsGraph with proper error handling
- Import ChatDashScope adapter with fallback for missing dependencies
- Update default_config.py with DashScope configuration comments
- Create comprehensive DashScope configuration example
Features added:
- DashScope provider selection in CLI (cli/utils.py)
- LLM initialization for DashScope models (trading_graph.py)
- Configuration validation and testing (examples/dashscope_config_example.py)
- Support for qwen-turbo, qwen-plus, qwen-max models
- Proper error handling for missing dashscope package
Usage:
1. Install: pip install dashscope
2. Configure: DASHSCOPE_API_KEY in .env file
3. Select 'DashScope (Alibaba Cloud)' in CLI
4. Use models: qwen-turbo (fast), qwen-plus (balanced), qwen-max (best)
This enables Chinese users to use Alibaba Cloud's Qwen models
for financial analysis with optimized Chinese language support.
- Add 18 new feature files from Chinese version
- Support for Chinese market data (A-shares)
- Database integration with MongoDB
- Advanced caching system with adaptive strategies
- LLM adapters for DashScope and other providers
- API services and real-time data utilities
- Enhanced configuration management
- Comprehensive English documentation
New features:
- Chinese finance data aggregation
- TDX (TongDaXin) API integration
- Optimized China stock data provider
- Adaptive and integrated caching
- Database cache management
- Stock data services
- Real-time news utilities
Breaking changes: None (all new features are additive)
Dependencies: Added pymongo, beautifulsoup4, dashscope (optional)
For detailed information, see MERGE_SUMMARY.md
- Added support for running CLI and Ollama server via Docker
- Introduced tests for local embeddings model and standalone Docker setup
- Enabled conditional Ollama server launch via LLM_PROVIDER
liuping
mirza-samad-ahmed-baig
Yijia Xiao
Max Wong
Geeta Chauhan
Huijae Lee
Edward Sun
Atharv Sabde
Edward Sun
saksham0161
maxer137
Yijia-Xiao