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This pull request introduces several enhancements across different areas of the project, including build system improvements, agent functionality updates, and documentation enhancements. Key changes include the addition of a new WebScraper tool, a revamped build process using esbuild, and optimizations to the WebLoader class for better web scraping capabilities.

Environment and Configuration Updates:

  • .env.example: Added MCP_GITHUB_TOKEN and MCP_ATLASSIAN_TOKEN for authentication, enabling integration with GitHub and Atlassian services.
  • config/mcp.template.json: Updated environment variable handling to allow dynamic substitution from the .env file using This pull request introduces several enhancements across different areas of the project, including build system improvements, agent functionality updates, and documentation enhancements. Key changes include the addition of a new WebScrapertool, a revamped build process usingesbuild, and optimizations to the WebLoader` class for better web scraping capabilities.

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Build System Enhancements:

  • build.js: Introduced a new build script using esbuild for efficient bundling and watching of src/ui/main.ts. This replaces the previous TypeScript compilation workflow.
  • package.json: Updated scripts to integrate the new build system (ui:build, ui:dev, ui:clean, ui:copy-assets) and added esbuild as a development dependency.

Agent Functionality Improvements:

  • src/agent.py: Added a new WebScraper tool to the agent's toolset, enabling advanced web scraping capabilities. [1] [2]
  • src/core/mcp/session.py: Implemented _parse_env to dynamically resolve environment variables during session initialization, improving flexibility and reducing hardcoded values. [1] [2]

Web Scraper Tool Implementation:

  • src/libs/dataloader/web.py: Enhanced the WebLoader class with URL replacement functionality and improved recursion handling for web scraping. Added a mechanism to limit the number of processed URLs. [1] [2] [3] [4]
  • src/tools/web_scraper.py: Created the WebScraper tool to extract content from web pages, supporting features like JavaScript rendering and structured data extraction.

Documentation Enhancements:

  • docs/ideas/agent-behavior.md: Added a comprehensive strategy document outlining optimizations for agent behavior, including context-aware prompts, specialized capabilities, and proactive error prevention.

UI Updates:

  • src/ui/index.html: Updated the script reference from chat.js to bundle.js to align with the new build system.

- Added DebugManager class to handle debug events and UI interactions.
- Created session-manager.ts to manage chat sessions and their states.
- Introduced tools-manager.ts for managing tools configuration.
- Developed main.ts to initialize the chat application and manage message sending.
- Updated index.html to include the new bundle.js script.
- Defined types for messages, tools, chat sessions, and debug events in types.ts.
- Adjusted tsconfig.json to support new TypeScript features and configurations.
- Deleted tools-manager.ts and moved its logic to tools.ts.
- Updated tsconfig.json to include new tools.ts file.
- Implemented new ApiManager, ChatUIManager, DebugManager, and SessionManager classes in their respective files.
- Enhanced API interactions for session management, tool loading, and debug event handling.
- Improved UI management for chat messages and debug events.
- Added error handling and loading states for better user experience.
Removing ChatUIManager and replacing it with ChatManager; update imports and initialization in main app.
Add WebScraper tool and integrate with WebLoader for advanced web scraping
Refactor WebScraper output to use 'content' key instead of 'text'
Refactor WebLoader tests to remove url_pattern and update file assertions
Enhance RAG system with multi-stage retrieval, semantic chunking, query expansion, and result fusion

- Added a comprehensive RAG System Enhancement Roadmap document detailing improvements to the hybrid knowledge graph and embeddings architecture.
- Implemented an enhanced retrieval pipeline with multi-stage retrieval and graph-based context enrichment.
- Improved WebLoader with semantic chunking and content deduplication.
- Introduced query expansion and intent detection capabilities.
- Developed a result fusion mechanism to combine multiple retrieval strategies.
- Added performance monitoring and caching to optimize repeated queries.
- Enhanced the GitHub search tool to integrate all new features.
- Established a comprehensive testing strategy for reliability and safety.
- Updated MCPSession to parse environment variables, allowing for dynamic environment configuration.
Copilot AI review requested due to automatic review settings June 28, 2025 11:51
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@nullchimp nullchimp merged commit 9828ee4 into main Jun 28, 2025
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2 participants