Maia Test Framework

Maia Test Framework: Simplifying Multi-Agent AI Testing

Maia Test Framework is a powerful tool designed to test multi-agent AI systems. It is built on top ofpytest, a popular testing framework, and provides a flexible platform to create, run, and analyze complex simulations involving multiple AI agents. Whether you are a developer, researcher, or AI enthusiast, Maia Test Framework offers the tools you need to ensure your AI systems perform as expected.

Benefits

Maia Test Framework offers several key benefits that make it an essential tool for anyone working with multi-agent AI systems:

• Multi-Agent Simulation: Easily simulate conversations and interactions between multiple AI agents. This allows you to test how different agents behave and interact in various scenarios.
• Extensible Provider Model: Integrate with various AI model providers such as Ollama and LiteLLM. This flexibility ensures that you can use the framework with your preferred AI models.
• Built-in Assertions: The framework includes a suite of assertions to verify agent behavior. These assertions help you check the content of agent messages and ensure that agents are participating in the conversation as expected.
• Tool Integration: Agents can use external tools to perform actions. This feature allows you to test how agents interact with tools and perform tasks in real-world scenarios.
• Async Support: Built withasyncio, Maia Test Framework ensures efficient I/O operations, making it suitable for complex and resource-intensive simulations.

Use Cases

Maia Test Framework is versatile and can be used in various scenarios:

• AI Development: Developers can use the framework to test and validate the behavior of their AI agents. This ensures that the agents perform as expected and interact correctly with other agents and tools.
• Research: Researchers can use Maia Test Framework to simulate and analyze complex multi-agent interactions. This can help in understanding the dynamics of AI systems and improving their performance.
• Education: Educators and students can use the framework to learn about multi-agent systems and gain hands-on experience in testing and validating AI agents.

Getting Started

Getting started with Maia Test Framework is straightforward. Here are the basic steps to create and run a test:

1. Define Your Agents: Create a test class that inherits fromMaiaTestand define your agents in thesetup_agentsmethod.
2. Create a Conversation Session: Use thecreate_sessionmethod to start a conversation with one or more agents.
3. Simulate a Conversation: Use theSessionobject to simulate user and agent interactions.
4. Use Assertions: The framework includes powerful assertions to validate agent behavior.
5. Run Your Tests: Usepytestto run your tests and analyze the results.

Contributing

Maia Test Framework is an open-source project, and contributions are welcome. If you have ideas for improvements or new features, please open an issue or submit a pull request on GitHub.

License

This project is licensed under the Apache License 2.0. See theLICENSEfile for details.