| # 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 | |