Build an AI Assistant Using NodeJS
Blog post from Stream
The text provides a detailed guide on building a NodeJS server to enable frontend chat SDKs to manage AI assistants within a Stream Chat channel. The server integrates with external Large Language Model (LLM) providers, such as Anthropic and OpenAI, to facilitate AI-generated responses to chat messages. The setup involves initializing a Node.js application, installing necessary dependencies like StreamChat, dotenv, OpenAI, Anthropic SDKs, and configuring the server using TypeScript. The server handles starting and stopping AI agents, which join chat channels to interact with messages and generate responses using the LLMs. The integration showcases handling messages and streaming responses through an example of an Anthropic agent, which listens to chat events and communicates with the Anthropic API for AI response generation. The document concludes by highlighting the server's extensibility to support other LLM providers and its potential to enhance applications with AI features using Stream's UI components.