feat: add Getting Started, Local Testing, and Next Steps guides for GAIA Agent development

GETTING_STARTED.md

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+# Getting Started with GAIA Agent Development
+
+This guide will help you get started with developing the GAIA Agent using your existing virtual environment.
+
+## Prerequisites
+
+- Python 3.8+
+- Virtual environment (already in `.venv`)
+- Hugging Face account (for deployment)
+
+## Setup and Installation
+
+1. **Activate your existing virtual environment**:
+   ```bash
+   source .venv/bin/activate
+   ```
+
+2. **Install the required dependencies**:
+   ```bash
+   pip install -r requirements.txt
+   ```
+
+3. **Install additional packages for the agent**:
+   ```bash
+   pip install gpt4all beautifulsoup4 pandas pillow python-dotenv searchapi
+   ```
+
+## Development Workflow
+
+1. **Local Testing**:
+   ```bash
+   python app_local.py
+   ```
+   This will run a local version of the agent with a limited question set for testing.
+
+2. **Running the full agent**:
+   ```bash
+   python app2.py
+   ```
+   Note: This requires Hugging Face authentication when running locally.
+
+3. **Evaluating the agent**:
+   ```bash
+   python utilities/evaluate_local.py
+   ```
+   This will evaluate your agent against the common questions dataset.
+
+## Project Structure
+
+- `app2.py` - The main GAIA agent implementation
+- `app_local.py` - Modified version for local testing without requiring login
+- `devplan.md` - Development plan and architecture design
+- `question_set/` - Contains question datasets for testing
+- `utilities/` - Helper scripts for evaluating and testing
+- `docs/` - Documentation about the API and submission process
+
+## Next Steps
+
+See the `NEXT_STEPS.md` file for a checklist of planned improvements.
+
+## Troubleshooting
+
+- **Authentication Issues**: For local testing, use `app_local.py` which doesn't require HF login
+- **Missing Dependencies**: Make sure to install all requirements with `pip install -r requirements.txt`
+- **File Not Found Errors**: Create a `dataset` directory for downloaded files

LOCAL_TESTING.md

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+# Local Testing Guide for GAIA Agent
+
+This document outlines how to test the GAIA agent locally during development.
+
+## Setup
+
+1. Install dependencies:
+   ```bash
+   pip install -r requirements.txt
+   ```
+
+2. If you want to use the OAuth features locally:
+   ```bash
+   huggingface-cli login
+   ```
+   Or set the `HF_TOKEN` environment variable with your token from [HF Settings](https://huggingface.co/settings/tokens).
+
+## Running the Application
+
+### Option 1: Simplified Local Testing (Recommended for Development)
+
+Use `app_local.py` which has a mock agent and doesn't require OAuth:
+
+```bash
+python app_local.py
+```
+
+Or use the helper script:
+
+```bash
+bash run_local.sh
+```
+
+This will:
+- Install required dependencies
+- Run the local version of the app
+- Use a mock agent that returns test responses
+- Use local sample questions without making API calls
+- Not submit any answers to the actual API
+
+### Option 2: Full Application with Test Username
+
+If you want to test the full application but without requiring login:
+
+```bash
+python app2.py
+```
+
+When the application loads:
+1. Enter a test username in the "Or enter test username for local development" field
+2. Click "Run Evaluation & Submit All Answers"
+
+### Option 3: Full Application with OAuth
+
+To test the complete application with OAuth authentication:
+
+1. Make sure you're logged in to Hugging Face CLI: `huggingface-cli login`
+2. Run: `python app.py` or `python app2.py`
+3. Click the "Login" button in the interface
+4. After logging in, click "Run Evaluation & Submit All Answers"
+
+## Debugging
+
+If you encounter OAuth-related errors:
+1. Check if you're logged in with `huggingface-cli whoami`
+2. Try setting your Hugging Face token as an environment variable:
+   ```
+   export HF_TOKEN=your_token_here
+   ```
+3. Use the local testing version (`app_local.py`) which avoids OAuth entirely
+
+## Next Steps
+
+1. Replace the mock agent in `app_local.py` with your real agent implementation
+2. Test with a small set of sample questions before scaling up
+3. Gradually add and test tools (web search, file reader, etc.)
+4. When ready, deploy to Hugging Face Spaces for full evaluation

NEXT_STEPS.md

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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