API reference · WeChat Channels

wechat-channels/account-videos

Integrate this model through SandBase's unified API, with production-ready schemas and examples.

APISynchronousOpen model
Production endpoint

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OpenAI-compatible endpoint with unified authentication and usage tracking.

POSThttps://api.sandbase.ai/v1/api/wechat-channels/account-videos
Model IDwechat-channels/account-videos
01

Input Schema

2 parameters · 1 required · 1 optional

ParameterTypeRequiredDescription
v2NamestringRequiredWeChat Channels account unique id, usually ending with @finder.
last_bufferstringOptionalPagination buffer returned by the previous WeChat Channels account videos response. Leave it empty for the first page. For this POST endpoint, send it in an application/x-www-form-urlencoded form body.
02

Output Schema

FieldTypeDescription
idstringUnique identifier for the generation task
statusstringTask status: pending, running, completed, failed, timeout
modelstringModel used for the generation
outputsarrayArray of output items
outputs[].urlstringURL of the generated artifact
outputs[].content_typestringMIME type (e.g. image/png, video/mp4)
errorobject | nullError details if failed, null on success
error.typestringMachine-readable error type code
error.messagestringHuman-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/api/wechat-channels/account-videos", {
  method: "POST",
  headers: {
    Authorization: `Bearer ${apiKey}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    "v2Name": "v2_060000231003b20faec8c7e48d1dc6d5c802e83db0770775bb566d2b495e6aae711d6d56bd04@finder"
  }),
});

if (!response.ok) throw new Error(await response.text());
console.log(await response.json());