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DEPLOYMENT.md

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-# Deploying Fast-Agent to Hugging Face Spaces
-
-## Quick Start
-
-This directory contains everything you need to deploy fast-agent to a Hugging Face Space.
-
-## Files Overview
-
-- **README.md**: Space metadata and description (with YAML header)
-- **Dockerfile**: Docker image definition (Python 3.13 + uv)
-- **agent.md**: Agent card defining the agent's capabilities and tools
-- **hf_api_tool.py**: Python tool for HF API access (from fast-agent examples)
-- **.gitignore**: Files to ignore in git
-
-## Deployment Steps
-
-### 1. Create a New Space
-
-Go to https://huggingface.co/new-space and:
-- Choose a name for your Space
-- Select **Docker** as the SDK
-- Choose visibility (Public or Private)
-- Click "Create Space"
-
-### 2. Clone Your Space Repository
-
-```bash
-git clone https://huggingface.co/spaces/YOUR_USERNAME/YOUR_SPACE_NAME
-cd YOUR_SPACE_NAME
-```
-
-### 3. Copy Files
-
-Copy all files from this directory to your Space repository:
-
-```bash
-cp /path/to/this/directory/* YOUR_SPACE_NAME/
-```
-
-Or manually copy:
-- README.md
-- Dockerfile
-- agent.md
-- hf_api_tool.py
-- .gitignore
-
-### 4. Commit and Push
-
-```bash
-git add .
-git commit -m "Initial fast-agent deployment"
-git push
-```
-
-### 5. Wait for Build
-
-Hugging Face will automatically:
-- Build the Docker image (Python 3.13 + uv)
-- Deploy the container
-- Make it available at your Space URL
-
-This usually takes 2-5 minutes.
-
-### 6. (Optional) Add Secrets
-
-If your agent needs authentication:
-
-1. Go to your Space settings
-2. Navigate to "Repository secrets"
-3. Add `HF_TOKEN` with your Hugging Face token
-4. Restart the Space
-
-## Testing Locally
-
-Before deploying, you can test locally:
-
-```bash
-# Build the Docker image
-docker build -t fast-agent-space .
-
-# Run it locally
-docker run -p 7860:7860 -e HF_TOKEN=your_token fast-agent-space
-
-# Test the endpoint
-curl http://localhost:7860
-```
-
-## Technical Details
-
-### Python & Dependencies
-
-- **Python 3.13**: Using the latest slim image
-- **uv**: Astral's fast Python package installer
-- **System packages**: bash, git, git-lfs, wget, curl, procps
-
-The Dockerfile uses `uv pip install --system` for faster, more reliable package installation.
-
-## Customization
-
-### Change the Agent Card
-
-Edit `agent.md` to modify:
-- Agent name
-- Model (e.g., `gpt-4`, `claude-3-sonnet`, etc.)
-- Instructions
-- Tool references
-
-### Add More Tools
-
-1. Create a new Python file (e.g., `my_tool.py`)
-2. Add your tool function
-3. Reference it in `agent.md`:
-   ```yaml
-   function_tools:
-     - hf_api_tool.py:hf_api_request
-     - my_tool.py:my_function
-   ```
-
-### Multiple Agent Cards
-
-Modify the Dockerfile CMD to include multiple cards:
-
-```dockerfile
-CMD ["fast-agent", "serve", "--card", "agent1.md", "--card", "agent2.md", "--port", "7860"]
-```
-
-### Change the Model
-
-Add `--model` to the CMD in Dockerfile:
-
-```dockerfile
-CMD ["fast-agent", "serve", "--card", "agent.md", "--model", "gpt-4", "--port", "7860"]
-```
-
-### Additional Dependencies
-
-If you need extra Python packages, add them after the fast-agent-mcp install:
-
-```dockerfile
-RUN uv pip install --system --no-cache fast-agent-mcp my-package another-package
-```
-
-Or use a requirements.txt:
-
-```dockerfile
-COPY requirements.txt .
-RUN uv pip install --system --no-cache -r requirements.txt
-```
-
-## Accessing Your Agent
-
-Once deployed, your agent will be accessible as an HTTP API at:
-```
-https://YOUR_USERNAME-YOUR_SPACE_NAME.hf.space
-```
-
-You can interact with it via HTTP requests or use it as an MCP server.
-
-## Troubleshooting
-
-### Space Won't Build
-
-Check the build logs in your Space for errors. Common issues:
-- Missing dependencies in Dockerfile
-- Syntax errors in agent.md
-- Tool file not found
-
-### Space Runs But Errors
-
-Check the application logs. Common issues:
-- Model API key not configured
-- Port mismatch (must be 7860)
-- Tool import errors
-
-### Need More Resources
-
-If you need more CPU/RAM:
-1. Go to Space settings
-2. Upgrade to a paid tier
-3. Select appropriate hardware
-
-## Support
-
-- Fast-Agent GitHub: https://github.com/evalstate/fast-agent
-- Fast-Agent PyPI: https://pypi.org/project/fast-agent-mcp/
-- Hugging Face Spaces docs: https://huggingface.co/docs/hub/spaces
-- Astral uv docs: https://docs.astral.sh/uv/