API reference · WeChat Channels
wechat-channels/v2/user-videos
Integrate this model through SandBase's unified API, with production-ready schemas and examples.
Production endpoint
Send your first request
OpenAI-compatible endpoint with unified authentication and usage tracking.
POST
https://api.sandbase.ai/v1/runModel ID
wechat-channels/v2/user-videos01
Input Schema
3 parameters · 1 required · 2 optional
| Parameter | Type | Required | Description |
|---|---|---|---|
username | string | Required | 视频号 finder username（v2_…@finder 格式）/WeChat Channels finder username (v2_…@finder format) · Min length: 10 · Max length: 256 |
raw | boolean | Optional | True=原始响应；False=精简解析结构（推荐做媒体下载）/True=raw response; False=simplified parsed structure (recommended for media download) · Default: true |
last_buffer | union | Optional | 翻页游标（base64），首页留空/Pagination cursor (base64), leave empty for first page · Default: "" |
02
Output Schema
| Field | Type | Description |
|---|---|---|
id | string | Unique identifier for the generation task |
status | string | Task status: pending, running, completed, failed, timeout |
model | string | Model used for the generation |
outputs | array | Array of output items |
outputs[].url | string | URL of the generated artifact |
outputs[].content_type | string | MIME type (e.g. image/png, video/mp4) |
error | object | null | Error details if failed, null on success |
error.type | string | Machine-readable error type code |
error.message | string | Human-readable error description |
03
Code Examples
Ready-to-run snippets
curl -X POST https://api.sandbase.ai/v1/run \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_API_KEY" \
-d '{
"model": "wechat-channels/v2/user-videos",
"raw": true,
"last_buffer": "",
"prompt": "a beautiful sunset over mountains"
}'