…ecture

- Added AI plugin configuration in extension.yaml with correct naming (atest-ext-ai)
- Implemented gRPC client wrapper (pkg/server/ai_client.go) for AI service communication
- Created AI service interface with graceful degradation to template responses
- Integrated AI assistant UI component in frontend with chat interface
- Added AI assistant entry point in StoreManager for seamless user access
- Fixed Vue compilation errors in AIAssistant.vue component
- Implemented natural language to SQL/test case conversion interface
- Added comprehensive error handling and fallback mechanisms

Task: AI Plugin Integration MVP
Phase: MVP

…rchitecture - Remove AIAssistant.vue from main project frontend - Clean up AI assistant UI integration from StoreManager.vue - Maintain backend AI client infrastructure (ai_client.go, ai_manager.go) - Preserve gRPC client implementation for AI plugin communication - Update project architecture to separate frontend/backend concerns Breaking Changes: - Frontend AI assistant interface removed from main project - AI plugin frontend code should be developed independently in plugin repository Technical Details: - Deleted: console/atest-ui/src/views/AIAssistant.vue - Modified: Removed AI assistant entry points from StoreManager.vue - Preserved: pkg/server/ai_client.go (gRPC client implementation) - Preserved: pkg/server/ai_manager.go (AI service management) - Maintained: Backend API architecture for AI plugin integration Architecture Impact: - Frontend code separation: AI plugin UI should be in plugin repo's ui/ directory - Backend integration maintained: gRPC communication layer preserved - Resource embedding: AI plugin will serve frontend assets via gRPC endpoints - Build process: Frontend assets will be embedded in plugin binary - Refactor the AI client and manager code, replacing the custom AIRequest and AIResponse types with those generated by protobuf. Modified request processing logic to accommodate the new type structure and updated metadata field types. Also fixed formatting issues in the code Next Steps: - AI plugin repository should implement independent frontend in ui/ directory - Frontend assets will be served via GetPageOfJS() and GetPageOfCSS() gRPC methods - Main project will consume AI frontend through plugin's resource endpoints fix(protobuf): Resolve Git conflicts in .pb.go files by regenerating from .proto sources

feat(tools): Add protoc-gen-go and protoc-gen-go-grpc tool dependencies

- Added go.mod, go.sum and pin.go files for protoc-gen-go tool
- Added go.mod, go.sum and pin.go files for protoc-gen-go-grpc tool
- These tools are required for generating protobuf Go code
- Following the same pattern as other tools like golangci-lint

Task: Tool dependency management
Phase: Infrastructure