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AI Chatbot Web App with Streaming Responses

A chat web app that sends user messages to the OpenAI API and streams the model's response token-by-token into the UI as it's generated, with conversation history maintained client-side. Learners practice server-sent events/streaming fetch, prompt/message history management, and building a responsive chat UI.

Estimate
~10h
Steps
6
Completed by
0
Proposed by
codeseed.app

Node.js · Express · OpenAI API · Server-Sent Events

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Project roadmap

  1. 01

    Build the backend proxy

    ~1.5h

    Set up an Express endpoint that forwards chat requests to the OpenAI API.

  2. 02

    Stream the response

    ~2h

    Stream the API's response back to the client incrementally using server-sent events.

  3. 03

    Build the chat UI

    ~2h

    Append streamed tokens to the current message bubble in real time as they arrive.

  4. 04

    Manage conversation history

    ~1.5h

    Maintain the conversation history client-side and include it in each new request.

  5. 05

    Add generation controls

    ~1.5h

    Add stop-generation and regenerate-response controls to the chat UI.

  6. 06

    Add rate limiting and error handling

    ~1.5h

    Add basic rate limiting on the backend and handle API failures gracefully in the UI.

Resources

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~10h · 6 steps

Tech stack

Node.jsExpressOpenAI APIServer-Sent Events