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GSoC'25 - Joomla! AI Framework [Week Report #3]

By Charvi on 2025-06-04 09:34 in Google Summer of Code Joomla Team

Report Period: May 29 - June 4, 2025

The third Joomla! AI Framework project discussion meeting was held on May 30, 2025. The meeting was attended by Benjamin Trenkle, Charvi Mehra and Shivam Rajput.

Key Accomplishments

  • May 29:
    • Analyzed Joomla's CMS-specific HTTP implementation under libraries/src/Http with Factory integration patterns
    • Studied HttpFactory's transport detection mechanism (cURL, streams, sockets) and automatic fallback logic
    • Discussed architectural approach with mentors and received confirmation on design direction
    • Clarified AI provider selection strategy: user-driven approach (no automatic fallback unlike HTTP transports)
  • May 30:
    • Researched MCP protocol and evaluated its applications for AI integration
    • Discussed NextCloud AI integration patterns with mentors
    • Assigned task to design rough architectural flow for AI abstraction framework
    • Assessed MCP protocol relevance for current project scope
  • May 31:
    • Studied authentication and request structures for multiple AI APIs:
      • OpenAI API implementation patterns
      • Anthropic API authentication methods
      • Ollama API request/response structure
  • June 1:
    • Analyzed API response formats and error handling mechanisms across providers
    • Began drafting rough architectural flow for the AI framework
  • June 2:
    • Mapped Joomla's HTTP implementation patterns to proposed AI architecture design
    • Refined framework structure based on HTTP transport learnings
  • June 3:
    • Set up Ollama development environment for testing
  • June 4:
    • Created complete AI response data object class with encapsulated design
    • Implemented private properties, constructor, getter methods, and magic __get() functionality
    • Developed test file (response_test.php) validating method calls and property access patterns

Next Steps

  • Finalize architectural flow documentation
  • Begin implementation of core abstraction layer classes
  • Extend API provider integration based on research findings