text-embedding-3-small

curl https://runapi.ai/v1/embeddings \
  -H "Authorization: Bearer $RUNAPI_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "model": "text-embedding-3-small",
  "input": [
    "为这些支持文档和一个客户问题生成向量，方便按相似度排序。"
  ],
  "encoding_format": "float"
}'

from openai import OpenAI

client = OpenAI(
    base_url="https://runapi.ai/v1",
    api_key="your-runapi-key"
)

response = client.chat.completions.create(
    model="text-embedding-3-small",
    messages=[{"role": "user", "content": "为这些支持文档和一个客户问题生成向量，方便按相似度排序。"}]
)

import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://runapi.ai/v1",
  apiKey: "your-runapi-key"
});

const response = await client.chat.completions.create({
  model: "text-embedding-3-small",
  messages: [{ role: "user", content: "为这些支持文档和一个客户问题生成向量，方便按相似度排序。" }]
});