创建嵌入

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  "header": [
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      "description": "",
      "type": "string",
      "id": "tiNTkyHARU",
      "enable": true,
      "name": "Authorization",
      "sampleValue": "Bearer {{YOUR_API_KEY}}"
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  "parameters": [],
  "jsonSchema": {
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    "properties": {
      "model": {
        "type": "string",
        "description": "要使用的模型的 ID。您可以使用[List models](https://platform.openai.com/docs/api-reference/models/list) API 来查看所有可用模型，或查看我们的[模型概述](https://platform.openai.com/docs/models/overview)以了解它们的描述。"
      },
      "input": {
        "type": "string",
        "description": "输入文本以获取嵌入，编码为字符串或标记数组。要在单个请求中获取多个输入的嵌入，请传递一个字符串数组或令牌数组数组。每个输入的长度不得超过 8192 个标记。"
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            "type": "object",
            "properties": {
              "object": {
                "type": "string"
              },
              "embedding": {
                "type": "array",
                "items": {
                  "type": "number"
                }
              },
              "index": {
                "type": "integer"
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            },
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    "name": "Create embeddings",
    "responseId": 562499891,
    "data": "{\n  \"object\": \"list\",\n  \"data\": [\n    {\n      \"object\": \"embedding\",\n      \"embedding\": [\n        0.0023064255,\n        -0.009327292,\n        .... (1536 floats total for ada-002)\n        -0.0028842222\n      ],\n      \"index\": 0\n    }\n  ],\n  \"model\": \"text-embedding-ada-002\",\n  \"usage\": {\n    \"prompt_tokens\": 8,\n    \"total_tokens\": 8\n  }\n}",
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