docs/NEXT_STEPS.md

Next Steps for GAIA Agent Development

Current Status

• ✅ Created basic agent structure (app2.py)
• ✅ Set up local testing environment (app_local.py)
• ✅ Fixed question format handling
• ✅ Tested local environment functionality

High Priority Tasks

1. LLM Integration

• Add GPT4All with Llama 3 integration
• Update system prompts for proper GAIA answer formatting
• Implement proper reasoning and answer extraction

2. Core Tool Implementation

• Web Search Tool (using SerpAPI, Google Custom Search API, or similar)
• File Reader Tool (handling different file formats)
  • Text-based files (.txt, .py, .md)
  • Images (.png, .jpg) with vision model
  • Audio (.mp3) with speech-to-text
  • Spreadsheets (.xlsx) with pandas
• Code Interpreter Tool (safe Python execution)

3. Question Analysis & Planning

• Use LLM for question classification
• Implement multi-step reasoning for complex questions
• Handle file references in questions

4. Testing & Evaluation

• Create test cases for each question type
• Use utilities/evaluate_local.py to evaluate performance
• Track accuracy improvements

Dependencies to add

• gpt4all for LLM
• beautifulsoup4 for web scraping (if needed)
• pandas for spreadsheet handling
• Vision and speech-to-text libraries (TBD)

Notes

• The GPT4All model path seems to be: "/Users/yagoairm2/Library/Application Support/nomic.ai/GPT4All/Meta-Llama-3-8B-Instruct.Q4_0.gguf"
• Use the common_questions.json for testing
• Follow GAIA evaluation criteria for exact answer matching