- Introduce LLM-driven decision-making across various agents, allowing for dynamic adjustments based on real-time analysis.
- Implement new event types for LLM thinking, decisions, actions, and observations to enrich the event streaming experience.
- Update agent task responses to include additional metrics for better tracking of task progress and outcomes.
- Refactor UI components to highlight LLM-related events and improve user interaction during audits.
- Enhance API endpoints to support new event structures and improve overall error handling.
- 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.
- Rename 'metadata' columns to 'event_metadata' and 'finding_metadata' for clarity in database schema.
- Update AgentRunner to construct task configuration from task fields, ensuring default values are applied.
- Improve UI to handle potential null values for progress percentage and security score, enhancing user experience.
- 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.
- Consolidate instant analysis to always use analyze_code_with_rules method
- Add use_default_template parameter to automatically select database default template when none specified
- Implement fallback logic to use hardcoded defaults only when no database template available
- Auto-select default prompt template on frontend page load
- Add visual labels for language and template selection dropdowns
- Improve template selector UX by removing empty default option and showing default indicator
- Simplifies analysis flow by removing conditional branching between analyze_code and analyze_code_with_rules
- Add user configuration retrieval with LLM API key decryption in prompt testing endpoint
- Support output language parameter in prompt template testing
- Integrate rule sets and prompt templates into ZIP file scanning process
- Add rule_set_id and prompt_template_id parameters to ScanRequest model
- Implement analyze_code_with_rules method for custom rule-based code analysis
- Add prompt_template_id support to instant analysis endpoint
- Update scan configuration to include rule set and prompt template selection
- Enhance error handling and logging in prompt testing with traceback output
- Extend InstantAnalysisRequest with optional prompt template ID parameter
- Add test code samples utility for prompt template validation
- 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
- Remove redundant check for CUSTOM_BASE_URL_PROVIDERS
- Consolidate model name prefix logic into single code path
- Move prefix retrieval after model name validation
- Improve code clarity by eliminating unnecessary conditional branches
- Maintain backward compatibility with existing model name formats
- Update project name from XCodeReviewer to DeepAudit in CI/CD workflows
- Replace Docker image names and release artifact naming conventions
- Update GitHub repository references in documentation files
- Modify database names and container names in setup instructions
- Update contributor badge and issue tracker links
- Rename frontend logo file from logo_deepaudit.png
- Update environment configuration examples and documentation
- Rebrand all references in CONTRIBUTING.md, DISCLAIMER.md, and README.md
- Update backend configuration and deployment documentation
- Ensure consistent naming across frontend and backend configurations
- Add skipped_files counter to track empty and oversized files
- Implement file content validation to skip empty files
- Add file size check to skip files exceeding MAX_FILE_SIZE_BYTES limit
- Add detailed debug logging for file fetching, LLM analysis, and completion
- Add comprehensive error logging with traceback information for failed files
- Improve task status determination logic to distinguish between skipped files and LLM failures
- Mark tasks as completed when all files are empty/skipped instead of failing
- Update error messages to show actual failed file count instead of total files
- Enhance observability during code analysis workflow with emoji-prefixed status messages
- Add debug print statement to log custom API base URL when configured
- Improves troubleshooting and visibility into LiteLLM adapter initialization
- Helps developers verify correct API endpoint configuration during runtime
- Add FileSelectionDialog component for granular file selection in audit tasks
- Extract task form logic into useTaskForm and useZipFile custom hooks
- Create modular components: BasicConfig, AdvancedOptions, ExcludePatterns, ProjectSelector, ZipFileSection
- Add file listing endpoint GET /projects/{id}/files with branch support
- Add branch listing endpoint GET /projects/{id}/branches for repository projects
- Implement ScanRequest model with file_paths, exclude_patterns, and branch_name fields
- Update scan endpoint to accept selective file scanning and exclude patterns
- Add branch_name and exclude_patterns fields to AuditTask model
- Enhance scanner service with GitHub and GitLab file/branch retrieval functions
- Improve CreateTaskDialog with better UX for repository and ZIP file scanning
- Support per-scan configuration storage in audit tasks
- Refactor repository scan services to handle file selection and branch parameters
- 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
- Bypass LLMFactory cache during connection tests to ensure fresh API calls with latest configuration
- Directly instantiate native adapters (Baidu, Minimax, Doubao) and LiteLLM adapter based on provider type
- Add comprehensive error handling in LiteLLM adapter with specific exception catching for authentication, rate limiting, and connection errors
- Implement user-friendly error messages for common failure scenarios (invalid API key, authentication failure, timeout, connection issues)
- Add response validation to detect and report empty API responses
- Disable LiteLLM internal caching to guarantee actual API calls during testing
- Update available models list with 2025 latest models across all providers (Gemini, OpenAI, Claude, Qwen, DeepSeek, etc.)
- Improve error message clarity and debugging information in config endpoint
- Replace individual adapter implementations (OpenAI, Claude, Gemini, DeepSeek, Qwen, Zhipu, Moonshot, Ollama) with unified LiteLLM adapter
- Keep native adapters for providers with special API formats (Baidu, MiniMax, Doubao)
- Update LLM factory to route requests through LiteLLM for supported providers
- Add test-llm endpoint to validate LLM connections with configurable timeout and token limits
- Add get-llm-providers endpoint to retrieve supported providers and their configurations
- Update config.py to ignore extra environment variables (VITE_* frontend variables)
- Refactor Baidu adapter to use new complete() method signature and improve error handling
- Update pyproject.toml dependencies to include litellm package
- Update env.example with new configuration options
- Simplify adapter initialization and reduce code duplication across multiple provider implementations
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