# 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