POST
/
v1
/
engines
/
{model}
/
embeddings
curl -X POST "https://api.applerouter.ai/v1/engines/text-embedding-ada-002/embeddings" \
  -H "Authorization: Bearer sk-your-api-key" \
  -H "Content-Type: application/json" \
  -d '{
    "input": "Hello, world!"
  }'

{
  "object": "list",
  "data": [
    {
      "object": "embedding",
      "index": 0,
      "embedding": [0.0023064255, -0.009327292, ...]
    }
  ],
  "model": "text-embedding-ada-002",
  "usage": {
    "prompt_tokens": 3,
    "total_tokens": 3
  }
}

​
Overview

Alternative endpoint for creating embeddings using specific Engine/Model specified in the path.
​
model
string
required
Engine/Model ID in path
​
input
string | array
required
Text to embed
​
encoding_format
string
Output format: float or base64
curl -X POST "https://api.applerouter.ai/v1/engines/text-embedding-ada-002/embeddings" \
  -H "Authorization: Bearer sk-your-api-key" \
  -H "Content-Type: application/json" \
  -d '{
    "input": "Hello, world!"
  }'

{
  "object": "list",
  "data": [
    {
      "object": "embedding",
      "index": 0,
      "embedding": [0.0023064255, -0.009327292, ...]
    }
  ],
  "model": "text-embedding-ada-002",
  "usage": {
    "prompt_tokens": 3,
    "total_tokens": 3
  }
}

Authorizations

​
Authorization
string
header
required

使用 Bearer Token 认证。格式: Authorization: Bearer sk-xxxxxx

Path Parameters

​
model
string
required

模型/引擎 ID

Body

application/json
​
model
string
required
Example:

"text-embedding-ada-002"

​
input
required

要嵌入的文本

​
encoding_format
enum<string>
default:float
Available options:
float,
base64
​
dimensions
integer

输出向量维度

Response

200 - application/json

成功创建嵌入

​
object
string
Example:

"list"

​
data
object[]
​
model
string
​
usage
object