AI Chat with HTTP Streaming

Sarah Shader's article details how to construct a chat application using ChatGPT, emphasizing HTTP actions with streaming to manage data flow efficiently between OpenAI, the Convex database, and client interfaces. The app offers real-time responsiveness by streaming text updates character-by-character to the user directly interacting with ChatGPT, while other users receive updates in larger chunks to conserve bandwidth. The process involves using a mutation to send messages and a query to read them, with HTTP endpoints facilitating communication with OpenAI for streaming responses. The described approach minimizes database bandwidth consumption by periodically updating the database with streamed data and employs an optimistic update mechanism to display ChatGPT's responses immediately to the user. The article includes code snippets and examples to illustrate the implementation, with further resources available for setting up necessary configurations like CORS.

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