AI 模型接口嵌入（Embeddings）
原生Gemini格式
使用指定引擎/模型创建嵌入
Authorization
BearerAuth AuthorizationBearer <token>
使用 Bearer Token 认证。 格式: Authorization: Bearer sk-your-astrumflow-token-key
In: header
Path Parameters
model*string
模型/引擎 ID
Request Body
application/json
TypeScript Definitions
Use the request body type in TypeScript.
model*string
input*|array<string>
要嵌入的文本
encoding_format?string
Default
"float"Value in
- "float"
- "base64"
dimensions?integer
输出向量维度
Response Body
application/json
curl -X POST "https://example.com/v1/engines/string/embeddings" \ -H "Content-Type: application/json" \ -d '{ "model": "text-embedding-ada-002", "input": "string" }'{ "object": "list", "data": [ { "object": "embedding", "index": 0, "embedding": [ 0 ] } ], "model": "string", "usage": { "prompt_tokens": 0, "total_tokens": 0 }}