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openclaw - 💡(How to fix) Fix [Feature]: Streaming response support for webchat [1 participants]

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openclaw/openclaw#52676•Fetched 2026-04-08 01:20:34
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Enable real-time streaming of AI responses in webchat client

Root Cause

Enable real-time streaming of AI responses in webchat client

Fix Action

Fix / Workaround

  • Using different clients (Telegram/Discord) which already have real-time message delivery - not ideal for users who prefer webchat
  • No workaround available - users must wait for full response
RAW_BUFFERClick to expand / collapse

Summary

Enable real-time streaming of AI responses in webchat client

Problem to solve

When using the webchat client, AI responses are output as complete blocks at once, causing noticeable latency. Users have to wait for the entire response before seeing any content, which feels slow compared to other clients like Telegram or Discord.

Proposed solution

Add streaming response support to the webchat client. This would allow users to see generated text in real-time as it's being produced, rather than waiting for the complete response.

Potential implementation:

  • Add a streamResponses config option in gateway or channel settings
  • Stream tokens from the model to the webchat UI as they arrive

Alternatives considered

  • Using different clients (Telegram/Discord) which already have real-time message delivery - not ideal for users who prefer webchat
  • No workaround available - users must wait for full response

Impact

  • Affected: webchat users
  • Severity: Medium (annoying, but not blocking)
  • Frequency: Always when using webchat
  • Consequence: Slower perceived responsiveness, poor UX compared to other channels

Evidence/examples

No response

Additional information

Tested on OpenClaw 2026.3.13 with MiniMax-M2.5 model. No streaming configuration found in docs or config files.

extent analysis

Fix Plan

To enable real-time streaming of AI responses in the webchat client, we will implement the proposed solution by adding a streamResponses config option and streaming tokens from the model to the webchat UI as they arrive.

Step-by-Step Solution:

  • Add a streamResponses config option in gateway or channel settings:
    • Set streamResponses to true in the config file or database.
  • Modify the webchat client to handle streaming responses:
    • Update the client-side JavaScript code to establish a WebSocket connection with the server.
    • Use the WebSocket connection to receive streamed tokens from the server and update the UI in real-time.

Example Code:

// Client-side JavaScript code
const socket = new WebSocket('ws://example.com/stream');

socket.onmessage = (event) => {
  const token = event.data;
  // Update the UI with the received token
  document.getElementById('response').innerHTML += token;
};

// Server-side code (e.g., Node.js)
const WebSocket = require('ws');
const wss = new WebSocket.Server({ port: 8080 });

wss.on('connection', (ws) => {
  // Stream tokens from the model to the client
  model.generateText((token) => {
    ws.send(token);
  });
});

Verification

To verify that the fix worked, test the webchat client with the streamResponses config option enabled. The client should display AI responses in real-time as they are generated, without waiting for the complete response.

Extra Tips

  • Ensure that the WebSocket connection is properly handled and closed when the user disconnects or navigates away from the page.
  • Consider implementing error handling and retries for the WebSocket connection to ensure a robust and reliable streaming experience.

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#latency issue#model loading#dependency error#configuration error#environment variable

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