- Change logger.info to logger.debug in agent_tasks.py streaming and tree endpoints
- Disable SQLAlchemy echo mode in database session configuration
- Suppress uvicorn access logs and LiteLLM INFO level logging in main application
- Remove LogViewer component and LogsPage from frontend
- Add trailing newlines to multiple backend configuration and model files
- Update frontend routing to remove logs page reference
- Improve application startup logging clarity by filtering verbose third-party logs
- Add database migrations for agent checkpoints and tree node tracking
- Implement core agent execution framework with executor, state management, and message handling
- Create knowledge base system with framework-specific modules (Django, FastAPI, Flask, Express, React, Supabase)
- Add vulnerability knowledge modules covering authentication, cryptography, injection, XSS, XXE, SSRF, path traversal, deserialization, and race conditions
- Introduce new agent tools: thinking tool, reporting tool, and agent-specific utilities
- Implement LLM memory compression and prompt caching for improved performance
- Add agent registry and persistence layer for checkpoint management
- Refactor agent implementations (analysis, recon, verification, orchestrator) with enhanced capabilities
- Remove legacy agent implementations (analysis_v2, react_agent)
- Update API endpoints for agent task creation and project management
- Add frontend components for agent task creation and enhanced audit UI
- Consolidate agent service architecture with improved separation of concerns
- This refactoring provides a scalable foundation for multi-agent collaboration with knowledge-driven decision making and state persistence
- Introduce streaming capabilities for agent events, allowing real-time updates during audits.
- Add new hooks for managing agent stream events in React components.
- Enhance the AgentAudit page to display LLM thinking processes and tool call details in real-time.
- Update API endpoints to support streaming event data and improve error handling.
- Refactor UI components for better organization and user experience during audits.
- Rename 'finished_at' to 'completed_at' in AgentTaskResponse and related functions for clarity.
- Introduce 'RUNNING' status in AgentTaskStatus to better represent task states.
- Update task configuration handling in AgentRunner to improve initialization logic.
- Enhance UI to reflect new 'RUNNING' and 'REPORTING' statuses in the AgentAudit component.
- Introduce new Agent audit functionality for autonomous code security analysis and vulnerability verification.
- Add API endpoints for managing Agent tasks and configurations.
- Implement UI components for Agent mode selection and embedding model configuration.
- Enhance the overall architecture with a focus on RAG (Retrieval-Augmented Generation) for improved code semantic search.
- Create a sandbox environment for secure execution of vulnerability tests.
- Update documentation to include details on the new Agent audit features and usage instructions.
- Add database migration (004) to create prompt_templates, audit_rule_sets, and audit_rules tables with proper indexes
- Create PromptTemplate and AuditRule models with relationships and validation
- Implement prompt template API endpoints for CRUD operations and testing
- Implement audit rules API endpoints for CRUD operations and rule set management
- Add prompt and rules schemas for request/response validation
- Create prompt template initialization service with default system templates
- Integrate LLM service with prompt template system for dynamic prompt selection
- Add frontend pages for PromptManager and AuditRules management
- Add API client utilities for prompts and rules endpoints
- Update API router to include new prompts and rules endpoints
- Update database initialization to seed default templates and rules
- Update sidebar navigation to include new management pages
- Update frontend routes to support new prompt and rules management pages
- Add source_type field to projects model to distinguish between repository and ZIP sources
- Implement ZIP file storage service with save, load, delete, and metadata operations
- Add database migration to populate source_type for existing projects
- Create ZIP upload endpoint with file handling and metadata tracking
- Add ZIP download endpoint for project file retrieval
- Implement project ZIP info endpoint to check file status and metadata
- Update project creation to support both repository and ZIP source types
- Add project type constants and utility functions for source type handling
- Update database export/import to include source_type field
- Extend frontend components to support ZIP file uploads in project creation
- Add instant analysis page for direct ZIP file scanning without project creation
- Update .gitignore to exclude uploaded ZIP files and metadata
- Enhance project detail and task detail pages with ZIP file management UI
vinland100
google-labs-jules[bot]
lintsinghua