Embeddings 文本嵌入

将文本转换为向量嵌入。

参考文档: https://platform.openai.com/docs/api-reference/embeddings

请求

POST /v1/embeddings

认证

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

请求体 (application/json)

参数	类型	必填	说明
model	string	是	模型 ID（如 text-embedding-ada-002）
input	string/array	是	要嵌入的文本
encoding_format	string	否	float、base64，默认 float
dimensions	integer	否	输出嵌入维度

请求示例

cURL

curl -X POST "https://your-api-base/v1/embeddings" \
  -H "Authorization: Bearer sk-xxxxxx" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "text-embedding-ada-002",
    "input": "The food was delicious and the waiter..."
  }'

Python

from openai import OpenAI

client = OpenAI(
    api_key="sk-xxxxxx",
    base_url="https://your-api-base/v1"
)

response = client.embeddings.create(
    model="text-embedding-ada-002",
    input="The food was delicious and the waiter..."
)

print(response.data[0].embedding[:5])

响应

200 成功响应

{
  "object": "list",
  "data": [
    {
      "object": "embedding",
      "index": 0,
      "embedding": [0.0023064255, -0.009327292, 0.015797777, ...]
    }
  ],
  "model": "text-embedding-ada-002",
  "usage": {
    "prompt_tokens": 8,
    "total_tokens": 8
  }
}