跳转到主要内容
POST
/
v1
/
embeddings
curl https://www.qingbo.dev/v1/embeddings \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "text-embedding-3-small",
    "input": "清波 API 是统一的 AI 模型网关"
  }'

{
  "object": "list",
  "model": "text-embedding-3-small",
  "data": [
    {
      "object": "embedding",
      "index": 0,
      "embedding": [0.0023, -0.0091, 0.0152, ...]
    }
  ],
  "usage": {
    "prompt_tokens": 8,
    "total_tokens": 8
  }
}

Documentation Index

Fetch the complete documentation index at: https://docs.qingbo.dev/llms.txt

Use this file to discover all available pages before exploring further.

同步接口 — 请求完成后直接返回向量结果。 
curl https://www.qingbo.dev/v1/embeddings \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "text-embedding-3-small",
    "input": "清波 API 是统一的 AI 模型网关"
  }'

{
  "object": "list",
  "model": "text-embedding-3-small",
  "data": [
    {
      "object": "embedding",
      "index": 0,
      "embedding": [0.0023, -0.0091, 0.0152, ...]
    }
  ],
  "usage": {
    "prompt_tokens": 8,
    "total_tokens": 8
  }
}

​
请求参数

​
model
string
必填
嵌入模型 ID，如 text-embedding-3-small、text-embedding-3-large
​
input
string or array
必填
要嵌入的文本，支持字符串或字符串数组（批量嵌入）

​
响应

​
object
string
固定为 "list"
​
model
string
使用的模型
​
data
array
嵌入结果数组
​
usage
object
Token 用量