Flow demonstrating how to use the Mistral API to send a text prompt, receive a response, and store the result
Flow demonstrating how to use the Mistral API to send a text prompt, receive a response, and store the result
This catalog service provides a pre-configured Contextual flow and the necessary format for a required API connection to Mistral (which will require your custom credentials) to demonstrate how to send a text prompt to the Mistral API and store the response. The flow is designed to take a text prompt as input, send it to the Mistral API, and store the AI-generated response in Contextual for further use.
In this example, the flow uses test/sample data to assemble the payload, which is passed to the Mistral API, and the response is logged and stored 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 store the AI's responses accordingly.
This setup is ideal for anyone looking to integrate AI-driven chat responses into their workflows, whether for customer support, content generation, or chatbot development. 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 developers, content creators, and teams seeking to enhance their applications with AI-powered chat functionality.
Each Service Template is thoroughly documented in the Contextual Documentation with information on what’s included in the template, how to get started, and code samples.
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