API reference · WeChat MP
wechat-mp/v2/comment-replies
Integrate this model through SandBase's unified API, with production-ready schemas and examples.
Production endpoint
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OpenAI-compatible endpoint with unified authentication and usage tracking.
POST
https://api.sandbase.ai/v1/runModel ID
wechat-mp/v2/comment-replies01
Input Schema
5 parameters · 1 required · 4 optional
| Parameter | Type | Required | Description |
|---|---|---|---|
url | string | Required | WeChat MP article URL (`https://mp.weixin.qq.com/s/…`). E.g. `http://mp.weixin.qq.com/s?__biz=Mzk3NTA0MzM5NA==&mid=2247483745&idx=1&sn=3f34e768cf457a501038991ed30be1f4#rd` · Max length: 2048 |
raw | boolean | Optional | Optional, default True. True=full raw reply objects; False=simplified replies. |
offset | integer | Optional | Optional, default 0 (>=0). Reply pagination offset; 0 for the first page, pass `next_offset` from the previous response when `has_more=true`. Ignored when `all_pages=true`. · Min: 0 |
all_pages | boolean | Optional | Optional, default False. When True, ignores `offset` and fetches **all** replies at once (the response omits the `offset` / `next_offset` / `has_more` pagination fields). |
content_id | union | Optional | Optional (numeric). `content_id` of the target first-level comment, from `$.data.comments[N].content_id` of the `fetch_article_comments` response; **defaults to the first comment that has replies when omitted**. E.g. `12109128638545265979` |
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
const apiKey = process.env.SANDBASE_API_KEY;
const response = await fetch("https://api.sandbase.ai/v1/run", {
method: "POST",
headers: {
Authorization: `Bearer ${apiKey}`,
"Content-Type": "application/json",
},
body: JSON.stringify({
"model": "wechat-mp/v2/comment-replies"
}),
});
if (!response.ok) throw new Error(await response.text());
console.log(await response.json());