Essentials
Getting Started
Start building with AgenticFleet
Getting Started with AgenticFleet
This guide will help you get started with AgenticFleet quickly and efficiently.
Prerequisites
Before you begin, ensure you have:
- Python 3.12 or higher
- pip or uv package manager
- OpenAI API key
- Azure OpenAI key (if using Azure)
Installation
Using pip
Using uv (Recommended)
Quick Start
1. Set Up Environment
Create a .env
file:
2. Create Configuration
Create a config.yaml
file:
3. Create Your First Agent
4. Create a Fleet
5. Run the Application
Core Concepts
1. Agents
Agents are the building blocks of AgenticFleet:
2. Fleets
Fleets orchestrate multiple agents:
3. Tasks
Tasks represent work items:
4. Memory
Manage agent memory:
Next Steps
-
Configuration
- Learn about Configuration Options
- Set up custom Agent Configurations
-
Development
- Explore Fleet Patterns
- Implement Custom Agents
-
Integration
-
Advanced Topics
- Implement Custom Tools
- Manage Memory Systems
Common Issues
Port Already in Use
API Key Issues
Memory Issues
Best Practices
-
Development
- Use version control
- Follow the documentation
- Write tests for custom agents
-
Deployment
- Use environment variables
- Monitor resource usage
- Implement proper logging
-
Security
- Secure API keys
- Use OAuth when possible
- Regular security updates