Agent Template

This repository provides a robust and flexible template for building AI agents. Whether you're developing intelligent assistants, automated workflows, or complex decision-making systems, this template offers a solid foundation to accelerate your development process. It's designed for easy setup, clear organization, and extensibility, allowing you to focus on the core logic of your agents.

Features

• Modular Structure: Organize your agent's components logically for better maintainability.
• Easy Configuration: Manage agent settings and parameters with a straightforward configuration system.
• Extensible Design: Easily add new tools, behaviors, and integrations to your agents.
• Logging & Monitoring: Basic setup for tracking agent activities and debugging.
• [Supports Multi-Step Reasoning Agents]: Add specific use case examples here.

Getting Started

Follow these steps to get your own agent project up and running using this template.

Prerequisites

Before you begin, ensure you have the following installed:

• Python 3.9+ (or your specific required version)
• pip (Python package installer)
• [Any other prerequisites, e.g., Docker, specific OS libraries]

Usage

This section guides you on how to use the template to develop and run your agents.

Running a Sample Agent

To run the included sample agent:

python main.py

(Adjust main.py if your primary entry point is different.)

Creating Your Own Agent

1. Define your agent's logic:

   • Update the system prompts for your agent's specific logic and define its behavior, tools, and objectives.

2. Configure your agent:

   • Modify the configuration files (e.g., deployment.yaml) to define your agent's parameters, models, and tools.

3. Integrate tools:

   • Implement or integrate external tools that your agent can use to interact with the environment (e.g., web search, API calls, database access).

Contributing

Contributions are welcome! If you'd like to improve this template, please follow these steps:

1. Fork the repository.
2. Create a new branch:

   git checkout -b feature/your-feature-name

3. Make your changes.
4. Commit your changes:

   git commit -m 'Add new feature'

5. Push to the branch:

   git push origin feature/your-feature-name

6. Open a Pull Request.

License

This project is licensed under the MIT License. See the LICENSE file for more details.