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---
title: LLM AI Agent API
emoji: 🤖
colorFrom: blue
colorTo: purple
sdk: docker
app_port: 7860
pinned: false
license: mit
---
# LLM AI Agent API
A secure, production-ready AI agent API powered by local LLM deployment on Hugging Face Spaces.
## 🚀 Quick Start
1. **Set Environment Variables** in your Space settings:
- `API_KEY_1`: Your secure API key
- `API_KEY_2`: Additional API key (optional)
- `MODEL_NAME`: LLM model to use (default: microsoft/DialoGPT-medium)
2. **Access your API** at: `https://your-username-your-space.hf.space`
3. **Test the API**:
```bash
curl -X POST "https://your-space-url.hf.space/chat" \
-H "Authorization: Bearer your-api-key" \
-H "Content-Type: application/json" \
-d '{"message": "Hello, how are you?"}'
```
## 📚 Documentation
- **API Docs**: `/docs` (Interactive Swagger UI)
- **Health Check**: `/health`
- **Model Info**: `/models` (requires authentication)
## 🔐 Security Features
- API key authentication
- Rate limiting (10 requests/minute per key)
- CORS support
- Request logging
## 🛠️ Integration
See `client_examples.py` and `client_examples.js` for integration examples in Python and JavaScript.
## 📝 API Reference
### POST /chat
```json
{
"message": "Your input message",
"max_length": 200,
"temperature": 0.7,
"system_prompt": "Optional system prompt"
}
```
Response:
```json
{
"response": "AI response",
"model_used": "microsoft/DialoGPT-medium",
"timestamp": "2024-01-01T12:00:00",
"tokens_used": 45,
"processing_time": 1.23
}
```
## 🔧 Configuration
Set these environment variables in your Space:
- `API_KEY_1`, `API_KEY_2`: Authentication keys
- `MODEL_NAME`: Hugging Face model ID
- `MAX_LENGTH`: Maximum response length
- `TEMPERATURE`: Response creativity (0.1-2.0)
- `RATE_LIMIT`: Requests per minute per key
## 📄 License
MIT License - see LICENSE file for details.
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