This catalog service provides a pre-configured Contextual flow and the necessary format for a required API connection to UnifyAI (which will require your custom credentials) to demonstrate how to compare multiple AI models using the UnifyAI API. The flow is designed to take a text prompt as input, select up to three AI models, and send the prompt to each model via the UnifyAI API. The API returns detailed AI-generated responses for each model, which are then stored in Contextual for further analysis and comparison.

In this example, the flow uses test/sample data to assemble the payload, which is passed to the UnifyAI API, and the results from each model are logged for review. This flow can be tested within the flow editor by initiating the inject button. Alternatively, it can be bound to an agent, triggered from another flow, or activated through an action. Each of these scenarios allows you to input different prompts and models, enabling the flow to generate and store specific comparison results across various AI models.

This setup is ideal for anyone looking to integrate AI-driven model comparison into their workflows, whether for benchmarking, content generation, or model evaluation. The flow is flexible, allowing it to be adapted to various use cases and integrated into broader automated systems, making it a valuable tool for AI researchers, developers, and teams looking to optimize their use of AI models.