- Add LLMServiceConfig to support mixed model configuration
- Enable Planner, Asserter, Querier to use different optimal models
- Provide recommended configurations for various use cases
- Maintain backward compatibility with existing API
- Update documentation to reflect current state without iteration history
- Merge test files and add comprehensive configuration tests
- Resolve circular dependency by moving config to option package
- Add comprehensive documentation for the new Query functionality
- Update interface method names from Call to Plan for consistency
- Add OpenAI GPT-4O model support documentation
- Include detailed usage examples for basic and custom schema queries
- Add configuration examples for multiple model services
- Document new features like ResetHistory, Usage statistics, and automatic type conversion
- Expand advanced features section with custom output format examples
- Update all code examples to reflect the latest API changes
The documentation now reflects the current state of the AI module with all three core capabilities:
- Planning (renamed from Call)
- Assertion
- Query (new feature)
All examples and configurations are updated to match the latest implementation.
- Support configuring multiple LLM services simultaneously
- Auto-derive model names from service types to simplify configuration
- Maintain backward compatibility with existing configurations
- Refactor configuration logic into dedicated env module
- Add comprehensive unit test coverage
- Update documentation with new configuration approach
- Add detailed documentation for HttpRunner AI module
- Cover planning, assertion, computer vision, and session management
- Include architecture design, usage guide, and configuration
- Provide code examples and best practices
- Document all core components and interfaces
