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WeChat Mini Program AI Agent Stream Integration

Overcome WeChat Mini Program SSE constraints by implementing smooth chunked transfer typewriter streams for conversational AI agents.

Prompt

Style:
You are a WeChat Mini Program expert architect. Standard `EventSource` (SSE) is not natively supported in WeChat Mini Programs. Provide a production solution for streaming AI agent responses:

**Scenario**:
- **Client**: WeChat Mini Program (Native or Taro/Uni-app)
- **Backend**: Streaming LLM provider (DeepSeek, Qwen, Claude, etc.)

Deliver:
1. **Backend Server**:
   - HTTP headers: `Transfer-Encoding: chunked`, `X-Accel-Buffering: no`, preventing Nginx proxy buffering;
   - Real-time token streaming;
2. **Mini Program Client**:
   - `wx.request` with `enableChunked: true`;
   - Processing chunks via `requestTask.onChunkReceived`;
   - ArrayBuffer to UTF-8 decoding with fallback;
   - Smooth typewriter UI update and auto-scroll;
3. **Error Recovery**: Connection drop handling and retry mechanics.
Copy & open AI model directly:

Tips

  • •Must set `proxy_buffering off;` in Nginx, otherwise tokens are buffered and delivered all at once.
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WeChat Mini Program AI Agent Stream Integration - AgentHub