Supercharging Conversations With ChatGPT

A chat company explored integrating OpenAI's ChatGPT model as a chatbot in a conversation between friends, despite the lack of an official API. By examining the requests sent in the browser, they reverse-engineered the API integration, focusing on data format, authentication, and building their own client. They discovered two main endpoints: moderation and conversation, with the latter being key for their application. Using tools like Postman, they replicated the request structure to interact with ChatGPT. For implementation, they built a NodeJS server as an intermediary between their client app and the GPT API, utilizing Stream for chat services to avoid writing components from scratch. They created a webhook and custom command using Stream's SDK to trigger ChatGPT responses in a chat channel. On the frontend, they employed Stream's UI SDK with Flutter for a simple user interface, allowing interaction with ChatGPT through a chat interface. The completed system allows users to execute commands in the chat that are processed by the server, which then fetches responses from ChatGPT and sends them back to the chat channel, demonstrating a practical application of integrating AI language models into chat services.