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feat: add AI Querier module with custom output schema support and refactor common model calling logic

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- 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
This commit is contained in:
lilong.129
2025-06-10 20:41:35 +08:00
parent fa9a53d2ae
commit 7c45acd061
10 changed files with 1495 additions and 22 deletions
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internal/version/VERSION
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v5.0.0-beta-2506101816
v5.0.0-beta-2506102041