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# 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
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