- Add UIXT runner with MCP plugin support
- Refactor AI service options handling
- Optimize configuration parsing for LLM and CV services
- Update dependencies to latest versions
- 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.
- Add Query method to ILLMService interface for unified AI service access
- Update combinedLLMService to include querier functionality
- Add comprehensive tests for ILLMService Query method
- Support both basic query and custom schema query through unified interface
- Add environment variable checks for test reliability
This allows users to access all AI capabilities (planning, assertion, and query)
through a single ILLMService interface, providing better API consistency and ease of use.
- 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
- Handle direction parameter in convertProcessedArgs for scroll actions
- Ensure scroll operations map to swipe with both coordinates and direction
- Add comprehensive test coverage for scroll action parsing
- Fix issue where scroll direction was missing from tool call arguments
- Replace byte-based brace counting with UTF-8 aware rune iteration
- Add proper string state tracking to handle escaped quotes
- Add comprehensive test cases for Chinese character handling
- Fix parsing errors when JSON contains Chinese text like 2048经典
- 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
- Implement lazy loading for directory creation in config.go
- Add logFile parameter to InitLogger for better control
- Use dynamic directory existence check instead of flags
- Report command now uses console-only logging to prevent directory creation
- Support both JSON and colorized console output formats
- Maintain backward compatibility for all other commands
Changes:
- config.go: Convert directory paths to getter methods with lazy creation
- logger.go: Add logFile parameter and improve logging control
- cmd/root.go: Detect report command and disable file logging
- uixt/*: Update all references to use new getter methods
Fixes the issue where 'hrp report results/' would create unwanted timestamp directories
- Add RegisterTools method to ILLMService interface
- Create shared MCP to eino tool converter
- Auto-register built-in uixt tools in XTDriver initialization
- Refactor MCPHost to use shared converter
- Add comprehensive test coverage for tool conversion
This enables doubao-1.5-thinking-vision-pro model to access
MCP tools through function calling mechanism.
- Add ModelName field to PlanningResult and SubActionResult
- Update HTML report with improved layout and model name display
- Fix elapsed time setting bug and enhance mobile responsiveness
- Fix parameter mapping issue where AI model's 'content' parameter wasn't mapped to 'text' field
- Add mapParameterName function to handle parameter name mapping (content->text, key->keycode)
- Add comprehensive unit tests for convertProcessedArgs and mapParameterName functions
- Update existing test cases to match new parameter format (x,y for single coords, from_x,from_y,to_x,to_y for drag)
This resolves the issue where uixt__input action was not working due to parameter name mismatch.
- 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 ResetHistory option to PlanningOptions and ActionOptions
- Implement task completion detection with isTaskFinished() method
- Add executeActions() method to separate action execution logic
- Modify ConversationHistory.Clear() to completely clear all messages including system message
- Refactor StartToGoal() to automatically reset history on first attempt
- Add WithResetHistory() option function for consistent API
- Consolidate test files into driver_ext_ai_test.go with comprehensive test coverage
- Remove all manual ReturnSchema() methods from tools
- Implement automatic schema generation using reflection
- Unify response format to flat structure with action/success/message fields
- Simplify tool implementation by removing MCPResponse embedding
- Update documentation to reflect new architecture
- Achieve ~70% code reduction while maintaining type safety
- Add ToolStartToGoal implementation with AI-driven goal automation
- Fix LLM service not initialized issue by applying global AI config to XTDriver creation
- Ensure XTDriver is created with proper AI services from the first initialization
- Add StartToGoal method to StepMobile for goal-oriented automation
- Register ToolStartToGoal in MCP server and add corresponding action type
- Add comprehensive test case for StartToGoal functionality
- Fix ReturnSchema consistency across AI tools (StartToGoal, AIAction, Finished)
- Extract AI service options in MCP argument processing
This resolves the root cause where XTDriver was created without AI services
in runStepMobileUI, ensuring only one XTDriver initialization with complete
AI service configuration.
- Remove redundant ActionSummary field from PlanningResult struct
- Update parsers to use unified Thought field instead of duplicate fields
- Modify chat interface to display Thought instead of ActionSummary
- Update planner logging to use thought instead of summary
- Adjust prompt templates to use thought field consistently
- Switch test LLM service from UI-TARS to DoubaoVL
- Add default parameter handling for sleep tool
