- Add new AI Querier module for structured information extraction from screenshots
- Support custom output schema for structured data response
- Implement automatic type conversion and data validation
- Add comprehensive test suite with various data structure examples
- Refactor callModelWithLogging to utils.go as shared function for planner, asserter, and querier
- Eliminate code duplication across AI modules (30+ lines of repeated code)
- Improve maintainability with unified logging and timing logic
- Add environment variable checks in test setup to handle missing API keys gracefully
Key features:
- Custom output schema support with JSON Schema generation
- Automatic data type conversion with reflection
- Fallback mechanisms for robust parsing
- Comprehensive documentation and usage examples
- Backward compatibility with existing functionality
- Fix JSON extraction logic by prioritizing brace counting method
- Add support for DOUBAO string array coordinate format
- Introduce IS_UI_TARS helper function for model type checking
- Add comprehensive tests for JSON parsing and coordinate handling
- Improve error handling with retry delays for LLM service failures
- 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
