Updated: 2024-05-27
Explore the streamlined process of configuring an LLM Gateway with Gecholog.ai, together with a Mock processor. From quick Docker installation to smooth API integration, enhance development efficiency by mocking successful API calls, and reproduce errors for debugging by mocking failed calls on purpose.
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The video is a tutorial on setting up a Mock processor in LLM Gateway for development, specifically using the Gecholog.ai container application. It guides viewers through the process of downloading and starting Gecholog.ai with Mock processor, configuring it to make mock API calls with the last response from the real LLM API.
The video also covers Docker installation verification, directory preparation, environment variable configuration, and the use of the “docker up” command to run the Gecholog.ai and Mock container.
Additionally, it explains how to make API requests to a router, and then store the response from the LLM. It provides developers with an option to save cost by making mock API requests in development phase and helping them reproduce any issues that may arise during the API request.
Are you ready to take your LLM application development efficiency to the next level? Gecholog.ai offers sophisticated data traffic monitoring that can streamline your data analysis and provide valuable operational insights. Don’t miss out on this opportunity to enhance your development workflow!