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README.md

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-
-# AgentAPI
+# Swarms Agent API
 
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+A production-grade REST API for deploying and managing AI agents in the cloud. This API provides a scalable and secure way to create, manage, and interact with AI agents.
+
+[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)
+[![Python 3.11+](https://img.shields.io/badge/python-3.11+-blue.svg)](https://www.python.org/downloads/)
+[![Docker](https://img.shields.io/badge/docker-supported-brightgreen.svg)](https://www.docker.com/)
+
+## Features
+
+- 🚀 Create and manage multiple AI agents
+- 🔄 Process completions with rate limiting and error handling
+- 📊 Track agent metrics and performance
+- 🔒 Built-in security features
+- 🎯 Horizontal scaling support
+- 🛠️ Easy deployment with Docker
+- 💫 Graceful shutdown handling
+- 🔍 Comprehensive logging
+- ⚡ High-performance FastAPI backend
+
+## Quick Start
+
+### Prerequisites
+
+- Python 3.11+
+- Docker (optional)
+- OpenAI API key (or other LLM provider key)
+
+### Local Development Setup
+
+1. Clone the repository:
+```bash
+git clone https://github.com/The-Swarm-Corporation/AgentAPIProduction.git
+cd agent-api
+```
+
+2. Create and activate a virtual environment:
+```bash
+python -m venv venv
+source venv/bin/activate  # On Windows: .\venv\Scripts\activate
+```
+
+3. Install dependencies:
+```bash
+pip install -r requirements.txt
+```
+
+4. Create a `.env` file:
+```env
+OPENAI_API_KEY=your_api_key_here
+PORT=8080
+WORKSPACE_DIR=agent_workspace
+```
+
+5. Run the server:
+```bash
+python -m uvicorn api.api:app --host 0.0.0.0 --port 8080 --reload
+```
+
+### Docker Deployment
+
+1. Build the Docker image:
+```bash
+docker build -t agent-api .
+```
+
+2. Run the container:
+```bash
+docker run -d \
+  -p 8080:8080 \
+  -e OPENAI_API_KEY=your_api_key_here \
+  -e PORT=8080 \
+  --name agent-api \
+  agent-api
+```
+
+## API Documentation
+
+### Base URL
+```
+http://localhost:8080/v1
+```
+
+### Endpoints
+
+#### Create Agent
+```http
+POST /v1/agent
+```
+```json
+{
+  "agent_name": "string",
+  "model_name": "string",
+  "description": "string",
+  "system_prompt": "string",
+  "temperature": 0.1,
+  "max_loops": 1
+}
+```
+
+#### List Agents
+```http
+GET /v1/agents
+```
+
+#### Process Completion
+```http
+POST /v1/agent/completions
+```
+```json
+{
+  "prompt": "string",
+  "agent_id": "uuid",
+  "max_tokens": null,
+  "temperature_override": 0.5
+}
+```
+
+#### Get Agent Metrics
+```http
+GET /v1/agent/{agent_id}/metrics
+```
+
+For full API documentation, visit `/v1/docs` or `/v1/redoc` after starting the server.
+
+## Rate Limiting
+
+The API implements rate limiting with the following defaults:
+- 2 requests per second
+- 30 requests per minute
+- 1000 requests per hour
+- 10000 requests per day
+
+## Deployment Considerations
+
+### Production Environment
+
+For production deployment, consider:
+
+1. Using a reverse proxy (e.g., Nginx)
+2. Implementing SSL/TLS
+3. Setting up monitoring (e.g., Prometheus + Grafana)
+4. Using environment-specific configuration
+5. Implementing proper backup strategies
+
+Example `docker-compose.yml` for production:
+
+```yaml
+version: '3.8'
+
+services:
+  agent-api:
+    build: .
+    ports:
+      - "8080:8080"
+    environment:
+      - OPENAI_API_KEY=${OPENAI_API_KEY}
+      - PORT=8080
+    volumes:
+      - agent_data:/app/agent_workspace
+    healthcheck:
+      test: ["CMD", "curl", "-f", "http://localhost:8080/health"]
+      interval: 30s
+      timeout: 3s
+      retries: 3
+    restart: unless-stopped
+
+volumes:
+  agent_data:
+```
+
+### Cloud Deployment
+
+The API can be deployed to various cloud providers:
+
+#### AWS Elastic Beanstalk
+```bash
+eb init -p docker agent-api
+eb create production
+```
+
+#### Google Cloud Run
+```bash
+gcloud builds submit --tag gcr.io/PROJECT_ID/agent-api
+gcloud run deploy agent-api --image gcr.io/PROJECT_ID/agent-api
+```
+
+#### Azure Container Instances
+```bash
+az container create \
+  --resource-group myResourceGroup \
+  --name agent-api \
+  --image your-registry.azurecr.io/agent-api \
+  --dns-name-label agent-api \
+  --ports 8080
+```
+
+## Error Handling
+
+The API implements comprehensive error handling:
+- Rate limit exceeded: 429
+- Not found: 404
+- Internal server error: 500
+
+Error responses follow this format:
+```json
+{
+  "detail": {
+    "error": "string",
+    "message": "string"
+  }
+}
+```
+
+## Contributing
+
+1. Fork the repository
+2. Create a feature branch
+3. Commit your changes
+4. Push to the branch
+5. Create a Pull Request
+
+## License
+
+This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
+
+## Support
+
+For support and questions:
+- Open an issue on GitHub
+- Join our Discord community
+- Email [email protected]
+
+## Acknowledgments
+
+- FastAPI for the excellent web framework
+- Swarms for the agent implementation
+- The open-source community
 
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+---
 
+Made with ❤️ by [swarms.ai](https://www.swarms.ai)