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OpenAI Responses

通过 RunAPI 的 OpenAI 兼容 Responses operation 发送请求。

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01

概览

使用兼容模型和对应协议的请求、响应结构调用 RunAPI 的 OpenAI 兼容 Responses operation。

快速开始

  1. 创建 API Key，并将其设置为 RUNAPI_API_KEY。
  2. 选择兼容模型，然后发送文档所列的路径参数和 JSON 请求体。
  3. 读取此 operation 展示的 JSON 响应或服务器发送事件，并处理协议错误。

端点

POST /v1/responses
基础 URL
https://runapi.ai
Contract 版本
v1
首选身份验证
Authorization: Bearer YOUR_API_TOKEN
02

身份验证载体

RunAPI 接受下列每种载体；生成的示例使用该协议的首选请求头。

header - 首选
Authorization: Bearer YOUR_API_TOKEN
header
x-api-key: YOUR_API_TOKEN
header
x-goog-api-key: YOUR_API_TOKEN
query
?key=YOUR_API_TOKEN
03

兼容模型

打开模型页可查看当前价格、限流和商业使用详情。

展开 53 个兼容模型
04

请求 Contract

JSON 请求体

这里只列出同时具有公共协议与 RunAPI 支持证据的字段；其他 JSON 请求体字段会原样传递。

JSON 请求体6 个字段
input["string", "array"]
可选

Text, message items, or tool results provided to the model.

instructions["string", "null"]
可选

System or developer instructions for this response.

max_output_tokens["integer", "null"]
可选

Maximum number of output tokens, including visible and reasoning tokens.

modelstring
必填

RunAPI model identifier returned by the compatible model catalog.

stream["boolean", "null"]
可选

Return typed Responses events as server-sent events.

默认值: false
toolsarray
可选

Tools the model may call.

请求示例

JSON 
{
  "input": "Say hello in one sentence.",
  "model": "gpt-5.4"
}
05

同步响应

HTTP 200

Schema

JSON 
{
  "additionalProperties": true,
  "properties": {
    "id": {
      "type": "string"
    },
    "model": {
      "type": "string"
    },
    "object": {
      "const": "response",
      "type": "string"
    },
    "output": {
      "type": "array"
    },
    "status": {
      "type": "string"
    },
    "usage": {
      "additionalProperties": true,
      "properties": {
        "input_tokens": {
          "type": "integer"
        },
        "output_tokens": {
          "type": "integer"
        },
        "total_tokens": {
          "type": "integer"
        }
      },
      "required": [
        "input_tokens",
        "output_tokens",
        "total_tokens"
      ],
      "type": "object"
    }
  },
  "required": [
    "id",
    "object",
    "status",
    "model",
    "output"
  ],
  "type": "object"
}

示例

JSON 
{
  "id": "resp_example",
  "model": "gpt-5.4",
  "object": "response",
  "output": [
    {
      "content": [
        {
          "annotations": [],
          "text": "Hello! How can I help today?",
          "type": "output_text"
        }
      ],
      "id": "msg_example",
      "role": "assistant",
      "status": "completed",
      "type": "message"
    }
  ],
  "status": "completed",
  "usage": {
    "input_tokens": 12,
    "output_tokens": 8,
    "total_tokens": 20
  }
}
06

SSE 事件：output_text_delta

text/event-stream

Schema

JSON 
{
  "additionalProperties": true,
  "properties": {
    "content_index": {
      "type": "integer"
    },
    "delta": {
      "type": "string"
    },
    "item_id": {
      "type": "string"
    },
    "output_index": {
      "type": "integer"
    },
    "type": {
      "const": "response.output_text.delta",
      "type": "string"
    }
  },
  "required": [
    "type",
    "item_id",
    "output_index",
    "content_index",
    "delta"
  ],
  "type": "object"
}

示例

JSON 
{
  "content_index": 0,
  "delta": "Hello",
  "item_id": "msg_example",
  "output_index": 0,
  "type": "response.output_text.delta"
}
07

SSE 事件：completed

text/event-stream

Schema

JSON 
{
  "additionalProperties": true,
  "properties": {
    "response": {
      "additionalProperties": true,
      "properties": {
        "id": {
          "type": "string"
        },
        "model": {
          "type": "string"
        },
        "object": {
          "const": "response",
          "type": "string"
        },
        "output": {
          "type": "array"
        },
        "status": {
          "type": "string"
        },
        "usage": {
          "additionalProperties": true,
          "properties": {
            "input_tokens": {
              "type": "integer"
            },
            "output_tokens": {
              "type": "integer"
            },
            "total_tokens": {
              "type": "integer"
            }
          },
          "required": [
            "input_tokens",
            "output_tokens",
            "total_tokens"
          ],
          "type": "object"
        }
      },
      "required": [
        "id",
        "object",
        "status",
        "model",
        "output",
        "usage"
      ],
      "type": "object"
    },
    "type": {
      "const": "response.completed",
      "type": "string"
    }
  },
  "required": [
    "type",
    "response"
  ],
  "type": "object"
}

示例

JSON 
{
  "response": {
    "id": "resp_example",
    "model": "gpt-5.4",
    "object": "response",
    "output": [
      {
        "content": [
          {
            "annotations": [],
            "text": "Hello! How can I help today?",
            "type": "output_text"
          }
        ],
        "id": "msg_example",
        "role": "assistant",
        "status": "completed",
        "type": "message"
      }
    ],
    "status": "completed",
    "usage": {
      "input_tokens": 12,
      "output_tokens": 8,
      "total_tokens": 20
    }
  },
  "type": "response.completed"
}
08

协议错误：invalid_request

HTTP 400

Schema

JSON 
{
  "additionalProperties": true,
  "properties": {
    "error": {
      "additionalProperties": true,
      "properties": {
        "code": {
          "type": [
            "string",
            "null"
          ]
        },
        "message": {
          "type": "string"
        },
        "param": {
          "type": [
            "string",
            "null"
          ]
        },
        "type": {
          "type": "string"
        }
      },
      "required": [
        "message",
        "type"
      ],
      "type": "object"
    }
  },
  "required": [
    "error"
  ],
  "type": "object"
}

示例

JSON 
{
  "error": {
    "code": null,
    "message": "input must be a string or an array",
    "param": "input",
    "type": "invalid_request_error"
  }
}
09

Usage

Schema

JSON 
{
  "additionalProperties": true,
  "properties": {
    "input_tokens": {
      "type": "integer"
    },
    "output_tokens": {
      "type": "integer"
    },
    "total_tokens": {
      "type": "integer"
    }
  },
  "required": [
    "input_tokens",
    "output_tokens",
    "total_tokens"
  ],
  "type": "object"
}

示例

JSON 
{
  "input_tokens": 12,
  "output_tokens": 8,
  "total_tokens": 20
}
10

生成的代码示例

每个 cURL、JavaScript 和 Python 示例都会发送此 Contract 中经过验证的请求，无需协议专用 SDK。

CURL 
curl -X POST https://runapi.ai/v1/responses \
  -H Authorization:\ Bearer\ YOUR_API_TOKEN \
  -H Content-Type:\ application/json \
  -d \{\"model\":\"gpt-5.4\",\"input\":\"Say\ hello\ in\ one\ sentence.\"\}
JAVASCRIPT 
const response = await fetch("https://runapi.ai/v1/responses", {
  method: "POST",
  headers: {
  "Authorization": "Bearer YOUR_API_TOKEN",
  "Content-Type": "application/json"
},
  body: JSON.stringify({
  "model": "gpt-5.4",
  "input": "Say hello in one sentence."
})
});
if (!response.ok) throw new Error(`HTTP ${response.status}`);
const data = await response.json();
console.log(data);

安装

BASH 
pip install requests
PYTHON 
import requests

response = requests.post(
    "https://runapi.ai/v1/responses",
    headers={"Authorization": "Bearer YOUR_API_TOKEN", "Content-Type": "application/json"},
    json={"model": "gpt-5.4", "input": "Say hello in one sentence."}
)
response.raise_for_status()
print(response.json())
11

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