wenwen
  1. 聊天对话-OpenAI格式(/responses)
wenwen
  • 聊天对话-OpenAI格式(/chat/completions)
    • 聊天
      POST
    • 流式返回
      POST
    • 结构化输出
      POST
    • 工具调用(function call)
      POST
    • 分析图片
      POST
    • 修改图片
      POST
    • 生成图片
      POST
    • 语音回复
      POST
  • 聊天对话-OpenAI格式(/responses)
    • Responses API与Chat API对比
    • 创建对话
      POST
    • 流式返回
      POST
    • 调用联网
      POST
  • 聊天对话-Anthropic格式(/messages)
    • 聊天
      POST
    • 流式返回
      POST
    • 分析图片
      POST
    • 工具使用
      POST
  • 绘图模型-OpenAI格式(/images)
    • 文生图(dall-e-3)
      POST
    • 文生图(gpt-image-1)
      POST
    • 图像编辑(dall-e-2)
      POST
    • 图像编辑(gpt-image-1)
      POST
  • 绘图模型-Midjourney(/mj)
    • 文生图(Imagine)
      POST
    • 图片融合(Blend)
      POST
    • 任务查询接口
      GET
    • 任务批量查询接口
      POST
    • 获取种子(Seed)
      GET
    • 按钮点击(Action)-选择图片
      POST
  • 向量化(/embeddings)
    • 文本向量化
  • 语音识别
    • 语音识别(whisper-1)
  1. 聊天对话-OpenAI格式(/responses)

流式返回

POST
/v1/responses
文本对话，结果流式返回。
所有对话模型，都可使用此接口， 修改 model 属性为模型名
模型列表请参考问问平台：https://api.wenwen-ai.com/pricing
BASE_URL: https://api.wenwen-ai.com/v1

请求参数

Header 参数

Body 参数application/json

示例
{
   "model": "gpt-5",
   "stream": true,
   "messages": [
      {
         "role": "user",
         "content": "Hello!"
      }
   ]
}

请求示例代码

Shell
JavaScript
Java
Swift
Go
PHP
Python
HTTP
C
C#
Objective-C
Ruby
OCaml
Dart
R
请求示例请求示例
Shell
JavaScript
Java
Swift
curl --location --request POST 'https://api.wenwen-ai.com/v1/responses' \
--header 'Authorization: Bearer {YOUR_API_KEY}' \
--header 'Content-Type: application/json' \
--data-raw '{
   "model": "gpt-5",
   "stream": true,
   "messages": [
      {
         "role": "user",
         "content": "Hello!"
      }
   ]
}'

返回响应

🟢200成功
application/json
Body

示例
event: response.created
data: {
    "type": "response.created",
    "sequence_number": 0,
    "response": {
        "id": "resp_68746e5933708190ab74346840b69f79035c53e470cb1bb3",
        "object": "response",
        "created_at": 1752460889,
        "status": "in_progress",
        "background": false,
        "error": null,
        "incomplete_details": null,
        "instructions": null,
        "max_output_tokens": null,
        "model": "gpt-4.1",
        "output": [],
        "parallel_tool_calls": true,
        "previous_response_id": null,
        "reasoning": {
            "effort": null,
            "summary": null
        },
        "service_tier": "auto",
        "store": true,
        "temperature": 1.0,
        "text": {
            "format": {
                "type": "text"
            }
        },
        "tool_choice": "auto",
        "tools": [],
        "top_p": 1.0,
        "truncation": "disabled",
        "usage": null,
        "user": null,
        "metadata": {}
    }
}

event: response.in_progress
data: {
    "type": "response.in_progress",
    "sequence_number": 1,
    "response": {
        "id": "resp_68746e5933708190ab74346840b69f79035c53e470cb1bb3",
        "object": "response",
        "created_at": 1752460889,
        "status": "in_progress",
        "background": false,
        "error": null,
        "incomplete_details": null,
        "instructions": null,
        "max_output_tokens": null,
        "model": "gpt-4.1",
        "output": [],
        "parallel_tool_calls": true,
        "previous_response_id": null,
        "reasoning": {
            "effort": null,
            "summary": null
        },
        "service_tier": "auto",
        "store": true,
        "temperature": 1.0,
        "text": {
            "format": {
                "type": "text"
            }
        },
        "tool_choice": "auto",
        "tools": [],
        "top_p": 1.0,
        "truncation": "disabled",
        "usage": null,
        "user": null,
        "metadata": {}
    }
}

event: response.output_item.added
data: {
    "type": "response.output_item.added",
    "sequence_number": 2,
    "output_index": 0,
    "item": {
        "id": "msg_68746e59b95081909ec63a7ce0339f3e035c53e470cb1bb3",
        "type": "message",
        "status": "in_progress",
        "content": [],
        "role": "assistant"
    }
}

event: response.content_part.added
data: {
    "type": "response.content_part.added",
    "sequence_number": 3,
    "item_id": "msg_68746e59b95081909ec63a7ce0339f3e035c53e470cb1bb3",
    "output_index": 0,
    "content_index": 0,
    "part": {
        "type": "output_text",
        "annotations": [],
        "text": ""
    }
}

event: response.output_text.delta
data: {
    "type": "response.output_text.delta",
    "sequence_number": 4,
    "item_id": "msg_68746e59b95081909ec63a7ce0339f3e035c53e470cb1bb3",
    "output_index": 0,
    "content_index": 0,
    "delta": "Under"
}

event: response.output_text.delta
data: {
    "type": "response.output_text.delta",
    "sequence_number": 5,
    "item_id": "msg_68746e59b95081909ec63a7ce0339f3e035c53e470cb1bb3",
    "output_index": 0,
    "content_index": 0,
    "delta": " a"
}

event: response.output_text.delta
data: {
    "type": "response.output_text.delta",
    "sequence_number": 6,
    "item_id": "msg_68746e59b95081909ec63a7ce0339f3e035c53e470cb1bb3",
    "output_index": 0,
    "content_index": 0,
    "delta": " moon"
}

event: response.output_text.delta
data: {
    "type": "response.output_text.delta",
    "sequence_number": 7,
    "item_id": "msg_68746e59b95081909ec63a7ce0339f3e035c53e470cb1bb3",
    "output_index": 0,
    "content_index": 0,
    "delta": "lit"
}

event: response.output_text.delta
data: {
    "type": "response.output_text.delta",
    "sequence_number": 8,
    "item_id": "msg_68746e59b95081909ec63a7ce0339f3e035c53e470cb1bb3",
    "output_index": 0,
    "content_index": 0,
    "delta": " sky"
}

event: response.output_text.delta
data: {
    "type": "response.output_text.delta",
    "sequence_number": 9,
    "item_id": "msg_68746e59b95081909ec63a7ce0339f3e035c53e470cb1bb3",
    "output_index": 0,
    "content_index": 0,
    "delta": ","
}

event: response.output_text.delta
data: {
    "type": "response.output_text.delta",
    "sequence_number": 10,
    "item_id": "msg_68746e59b95081909ec63a7ce0339f3e035c53e470cb1bb3",
    "output_index": 0,
    "content_index": 0,
    "delta": " a"
}

event: response.output_text.delta
data: {
    "type": "response.output_text.delta",
    "sequence_number": 11,
    "item_id": "msg_68746e59b95081909ec63a7ce0339f3e035c53e470cb1bb3",
    "output_index": 0,
    "content_index": 0,
    "delta": " gentle"
}

event: response.output_text.delta
data: {
    "type": "response.output_text.delta",
    "sequence_number": 12,
    "item_id": "msg_68746e59b95081909ec63a7ce0339f3e035c53e470cb1bb3",
    "output_index": 0,
    "content_index": 0,
    "delta": " unicorn"
}

event: response.output_text.delta
data: {
    "type": "response.output_text.delta",
    "sequence_number": 13,
    "item_id": "msg_68746e59b95081909ec63a7ce0339f3e035c53e470cb1bb3",
    "output_index": 0,
    "content_index": 0,
    "delta": " tip"
}

event: response.output_text.delta
data: {
    "type": "response.output_text.delta",
    "sequence_number": 14,
    "item_id": "msg_68746e59b95081909ec63a7ce0339f3e035c53e470cb1bb3",
    "output_index": 0,
    "content_index": 0,
    "delta": "to"
}

event: response.output_text.delta
data: {
    "type": "response.output_text.delta",
    "sequence_number": 15,
    "item_id": "msg_68746e59b95081909ec63a7ce0339f3e035c53e470cb1bb3",
    "output_index": 0,
    "content_index": 0,
    "delta": "ed"
}

event: response.output_text.delta
data: {
    "type": "response.output_text.delta",
    "sequence_number": 16,
    "item_id": "msg_68746e59b95081909ec63a7ce0339f3e035c53e470cb1bb3",
    "output_index": 0,
    "content_index": 0,
    "delta": " through"
}

event: response.output_text.delta
data: {
    "type": "response.output_text.delta",
    "sequence_number": 17,
    "item_id": "msg_68746e59b95081909ec63a7ce0339f3e035c53e470cb1bb3",
    "output_index": 0,
    "content_index": 0,
    "delta": " a"
}

event: response.output_text.delta
data: {
    "type": "response.output_text.delta",
    "sequence_number": 18,
    "item_id": "msg_68746e59b95081909ec63a7ce0339f3e035c53e470cb1bb3",
    "output_index": 0,
    "content_index": 0,
    "delta": " field"
}

event: response.output_text.delta
data: {
    "type": "response.output_text.delta",
    "sequence_number": 19,
    "item_id": "msg_68746e59b95081909ec63a7ce0339f3e035c53e470cb1bb3",
    "output_index": 0,
    "content_index": 0,
    "delta": " of"
}

event: response.output_text.delta
data: {
    "type": "response.output_text.delta",
    "sequence_number": 20,
    "item_id": "msg_68746e59b95081909ec63a7ce0339f3e035c53e470cb1bb3",
    "output_index": 0,
    "content_index": 0,
    "delta": " shimmering"
}

event: response.output_text.delta
data: {
    "type": "response.output_text.delta",
    "sequence_number": 21,
    "item_id": "msg_68746e59b95081909ec63a7ce0339f3e035c53e470cb1bb3",
    "output_index": 0,
    "content_index": 0,
    "delta": " stars"
}

event: response.output_text.delta
data: {
    "type": "response.output_text.delta",
    "sequence_number": 22,
    "item_id": "msg_68746e59b95081909ec63a7ce0339f3e035c53e470cb1bb3",
    "output_index": 0,
    "content_index": 0,
    "delta": ","
}

event: response.output_text.delta
data: {
    "type": "response.output_text.delta",
    "sequence_number": 23,
    "item_id": "msg_68746e59b95081909ec63a7ce0339f3e035c53e470cb1bb3",
    "output_index": 0,
    "content_index": 0,
    "delta": " carrying"
}

event: response.output_text.delta
data: {
    "type": "response.output_text.delta",
    "sequence_number": 24,
    "item_id": "msg_68746e59b95081909ec63a7ce0339f3e035c53e470cb1bb3",
    "output_index": 0,
    "content_index": 0,
    "delta": " sweet"
}

event: response.output_text.delta
data: {
    "type": "response.output_text.delta",
    "sequence_number": 25,
    "item_id": "msg_68746e59b95081909ec63a7ce0339f3e035c53e470cb1bb3",
    "output_index": 0,
    "content_index": 0,
    "delta": " dreams"
}

event: response.output_text.delta
data: {
    "type": "response.output_text.delta",
    "sequence_number": 26,
    "item_id": "msg_68746e59b95081909ec63a7ce0339f3e035c53e470cb1bb3",
    "output_index": 0,
    "content_index": 0,
    "delta": " to"
}

event: response.output_text.delta
data: {
    "type": "response.output_text.delta",
    "sequence_number": 27,
    "item_id": "msg_68746e59b95081909ec63a7ce0339f3e035c53e470cb1bb3",
    "output_index": 0,
    "content_index": 0,
    "delta": " children"
}

event: response.output_text.delta
data: {
    "type": "response.output_text.delta",
    "sequence_number": 28,
    "item_id": "msg_68746e59b95081909ec63a7ce0339f3e035c53e470cb1bb3",
    "output_index": 0,
    "content_index": 0,
    "delta": " as"
}

event: response.output_text.delta
data: {
    "type": "response.output_text.delta",
    "sequence_number": 29,
    "item_id": "msg_68746e59b95081909ec63a7ce0339f3e035c53e470cb1bb3",
    "output_index": 0,
    "content_index": 0,
    "delta": " they"
}

event: response.output_text.delta
data: {
    "type": "response.output_text.delta",
    "sequence_number": 30,
    "item_id": "msg_68746e59b95081909ec63a7ce0339f3e035c53e470cb1bb3",
    "output_index": 0,
    "content_index": 0,
    "delta": " slept"
}

event: response.output_text.delta
data: {
    "type": "response.output_text.delta",
    "sequence_number": 31,
    "item_id": "msg_68746e59b95081909ec63a7ce0339f3e035c53e470cb1bb3",
    "output_index": 0,
    "content_index": 0,
    "delta": "."
}

event: response.output_text.done
data: {
    "type": "response.output_text.done",
    "sequence_number": 32,
    "item_id": "msg_68746e59b95081909ec63a7ce0339f3e035c53e470cb1bb3",
    "output_index": 0,
    "content_index": 0,
    "text": "Under a moonlit sky, a gentle unicorn tiptoed through a field of shimmering stars, carrying sweet dreams to children as they slept."
}

event: response.content_part.done
data: {
    "type": "response.content_part.done",
    "sequence_number": 33,
    "item_id": "msg_68746e59b95081909ec63a7ce0339f3e035c53e470cb1bb3",
    "output_index": 0,
    "content_index": 0,
    "part": {
        "type": "output_text",
        "annotations": [],
        "text": "Under a moonlit sky, a gentle unicorn tiptoed through a field of shimmering stars, carrying sweet dreams to children as they slept."
    }
}

event: response.output_item.done
data: {
    "type": "response.output_item.done",
    "sequence_number": 34,
    "output_index": 0,
    "item": {
        "id": "msg_68746e59b95081909ec63a7ce0339f3e035c53e470cb1bb3",
        "type": "message",
        "status": "completed",
        "content": [
            {
                "type": "output_text",
                "annotations": [],
                "text": "Under a moonlit sky, a gentle unicorn tiptoed through a field of shimmering stars, carrying sweet dreams to children as they slept."
            }
        ],
        "role": "assistant"
    }
}

event: response.completed
data: {
    "type": "response.completed",
    "sequence_number": 35,
    "response": {
        "id": "resp_68746e5933708190ab74346840b69f79035c53e470cb1bb3",
        "object": "response",
        "created_at": 1752460889,
        "status": "completed",
        "background": false,
        "error": null,
        "incomplete_details": null,
        "instructions": null,
        "max_output_tokens": null,
        "model": "gpt-4.1",
        "output": [
            {
                "id": "msg_68746e59b95081909ec63a7ce0339f3e035c53e470cb1bb3",
                "type": "message",
                "status": "completed",
                "content": [
                    {
                        "type": "output_text",
                        "annotations": [],
                        "text": "Under a moonlit sky, a gentle unicorn tiptoed through a field of shimmering stars, carrying sweet dreams to children as they slept."
                    }
                ],
                "role": "assistant"
            }
        ],
        "parallel_tool_calls": true,
        "previous_response_id": null,
        "reasoning": {
            "effort": null,
            "summary": null
        },
        "service_tier": "default",
        "store": true,
        "temperature": 1.0,
        "text": {
            "format": {
                "type": "text"
            }
        },
        "tool_choice": "auto",
        "tools": [],
        "top_p": 1.0,
        "truncation": "disabled",
        "usage": {
            "input_tokens": 18,
            "input_tokens_details": {
                "cached_tokens": 0
            },
            "output_tokens": 29,
            "output_tokens_details": {
                "reasoning_tokens": 0
            },
            "total_tokens": 47
        },
        "user": null,
        "metadata": {}
    }
}
修改于 2025-08-08 09:16:54
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