原生Gemini格式

POST

/v1/engines/{model}/embeddings

使用指定引擎/模型创建嵌入

请求参数

Path 参数

Body 参数application/json

示例

{
    "model": "text-embedding-ada-002",
    "input": "string",
    "encoding_format": "float",
    "dimensions": 0
}

请求示例代码

Shell

JavaScript

Java

Swift

PHP

Python

HTTP

Objective-C

Ruby

OCaml

Dart

curl --location '/v1/engines//embeddings' \
--header 'Content-Type: application/json' \
--data '{
    "model": "text-embedding-ada-002",
    "input": "string",
    "encoding_format": "float",
    "dimensions": 0
}'

返回响应

🟢200

application/json

成功创建嵌入

Bodyapplication/json

示例

{
    "object": "list",
    "data": [
        {
            "object": "embedding",
            "index": 0,
            "embedding": [
                0
            ]
        }
    ],
    "model": "string",
    "usage": {
        "prompt_tokens": 0,
        "total_tokens": 0
    }
}

修改于 2026-10-09 15:07:20

原生OpenAI格式