curl -X POST https://zx1.deepwl.net/v1/responses \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gpt-4o",
    "instructions": "You are a concise technical assistant.",
    "input": "Explain in three sentences what scenarios the Responses API is suitable for."
  }'

{
  "id": "resp_abc123",
  "object": "response",
  "created_at": 1735689600,
  "status": "completed",
  "model": "gpt-4o",
  "output": [
    {
      "type": "message",
      "id": "msg_abc123",
      "status": "completed",
      "role": "assistant",
      "content": [
        {
          "type": "output_text",
          "text": "The Responses API is suitable for multimodal input, tool calling, and tasks that require context continuation. It breaks output into structured items, making it easier for programs to read. Through a unified gateway, you can reuse the same authentication, billing, and channel distribution capabilities.",
          "annotations": []
        }
      ]
    }
  ],
  "usage": {
    "prompt_tokens": 26,
    "completion_tokens": 62,
    "total_tokens": 88
  }
}

data: {"type":"response.created","response":{"id":"resp_abc123","object":"response","status":"in_progress","model":"gpt-4o"}}

data: {"type":"response.output_text.delta","delta":"Responses"}

data: {"type":"response.output_text.delta","delta":" API"}

data: {"type":"response.completed","response":{"id":"resp_abc123","status":"completed","usage":{"prompt_tokens":26,"completion_tokens":62,"total_tokens":88}}}

data: [DONE]

{
  "error": {
    "message": "model is required",
    "type": "invalid_request_error",
    "param": "",
    "code": "invalid_request"
  }
}

{
  "error": {
    "message": "Invalid API key provided",
    "type": "invalid_request_error",
    "param": "",
    "code": "invalid_api_key"
  }
}

{
  "error": {
    "message": "User quota is insufficient",
    "type": "new_api_error",
    "param": "",
    "code": "insufficient_user_quota"
  }
}

{
  "error": {
    "message": "The current request rate is too high, please try again later",
    "type": "new_api_error",
    "param": "",
    "code": "too_many_requests"
  }
}

{
  "error": {
    "message": "bad response body",
    "type": "new_api_error",
    "param": "",
    "code": "bad_response_body"
  }
}

POST

https://zx1.deepwl.net

responses

curl -X POST https://zx1.deepwl.net/v1/responses \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gpt-4o",
    "instructions": "You are a concise technical assistant.",
    "input": "Explain in three sentences what scenarios the Responses API is suitable for."
  }'

{
  "id": "resp_abc123",
  "object": "response",
  "created_at": 1735689600,
  "status": "completed",
  "model": "gpt-4o",
  "output": [
    {
      "type": "message",
      "id": "msg_abc123",
      "status": "completed",
      "role": "assistant",
      "content": [
        {
          "type": "output_text",
          "text": "The Responses API is suitable for multimodal input, tool calling, and tasks that require context continuation. It breaks output into structured items, making it easier for programs to read. Through a unified gateway, you can reuse the same authentication, billing, and channel distribution capabilities.",
          "annotations": []
        }
      ]
    }
  ],
  "usage": {
    "prompt_tokens": 26,
    "completion_tokens": 62,
    "total_tokens": 88
  }
}

data: {"type":"response.created","response":{"id":"resp_abc123","object":"response","status":"in_progress","model":"gpt-4o"}}

data: {"type":"response.output_text.delta","delta":"Responses"}

data: {"type":"response.output_text.delta","delta":" API"}

data: {"type":"response.completed","response":{"id":"resp_abc123","status":"completed","usage":{"prompt_tokens":26,"completion_tokens":62,"total_tokens":88}}}

data: [DONE]

{
  "error": {
    "message": "model is required",
    "type": "invalid_request_error",
    "param": "",
    "code": "invalid_request"
  }
}

{
  "error": {
    "message": "Invalid API key provided",
    "type": "invalid_request_error",
    "param": "",
    "code": "invalid_api_key"
  }
}

{
  "error": {
    "message": "User quota is insufficient",
    "type": "new_api_error",
    "param": "",
    "code": "insufficient_user_quota"
  }
}

{
  "error": {
    "message": "The current request rate is too high, please try again later",
    "type": "new_api_error",
    "param": "",
    "code": "too_many_requests"
  }
}

{
  "error": {
    "message": "bad response body",
    "type": "new_api_error",
    "param": "",
    "code": "bad_response_body"
  }
}

OpenAI Multimodal Responses API

The Responses API is a unified response interface for multimodal workflows, tool calling, and context continuation. Compared with Chat Completions, its input, output, and tool-calling structure is better suited for complex task orchestration.

Request Body

string

required

Model name.

string | array<object>

User input. Can be a string or a structured message array.

string

Developer or system-level instructions.

string

The ID of the previous response. Can be used for context continuation when supported by the upstream.

array<object>

Tool list. Supports function tools, and can also forward upstream-compatible built-in tools.

string | object

Tool selection strategy.

integer

Maximum number of output tokens. Explicitly passing 0 will be preserved and forwarded to supported upstreams.

object

Reasoning configuration, for example { "effort": "medium", "summary": "auto" }.

object

Text output configuration, commonly used for JSON Schema structured output.

boolean

Whether to enable SSE streaming output.

boolean

Whether to include token usage in streaming responses.

boolean

Controls whether the upstream stores the request and response. This field is allowed to be forwarded by default, and can be disabled by channel settings.

object

Additional business-side metadata.

array<string>

Additional fields to include in the request response; the specific values depend on the upstream implementation.

Request Example

curl -X POST https://zx1.deepwl.net/v1/responses \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gpt-4o",
    "instructions": "You are a concise technical assistant.",
    "input": "Explain in three sentences what scenarios the Responses API is suitable for."
  }'

Multimodal Input

curl -X POST https://zx1.deepwl.net/v1/responses \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gpt-4o",
    "input": [
      {
        "role": "user",
        "content": [
          { "type": "input_text", "text": "Extract the abnormal metrics from this screenshot." },
          { "type": "input_image", "image_url": "https://.../dashboard.png", "detail": "high" }
        ]
      }
    ]
  }'

Tool Calling

curl -X POST https://zx1.deepwl.net/v1/responses \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gpt-4o",
    "input": "Is Beijing suitable for outdoor running today?",
    "tools": [
      {
        "type": "function",
        "name": "get_weather",
        "description": "Get city weather",
        "parameters": {
          "type": "object",
          "properties": {
            "city": { "type": "string" }
          },
          "required": ["city"]
        }
      }
    ],
    "tool_choice": "auto"
  }'

Streaming Output

curl -N -X POST https://zx1.deepwl.net/v1/responses \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gpt-4o",
    "input": "Write a product launch announcement within 5 lines.",
    "stream": true,
    "stream_options": {
      "include_usage": true
    }
  }'

Response Example

{
  "id": "resp_abc123",
  "object": "response",
  "created_at": 1735689600,
  "status": "completed",
  "model": "gpt-4o",
  "output": [
    {
      "type": "message",
      "id": "msg_abc123",
      "status": "completed",
      "role": "assistant",
      "content": [
        {
          "type": "output_text",
          "text": "The Responses API is suitable for multimodal input, tool calling, and tasks that require context continuation. It breaks output into structured items, making it easier for programs to read. Through a unified gateway, you can reuse the same authentication, billing, and channel distribution capabilities.",
          "annotations": []
        }
      ]
    }
  ],
  "usage": {
    "prompt_tokens": 26,
    "completion_tokens": 62,
    "total_tokens": 88
  }
}

data: {"type":"response.created","response":{"id":"resp_abc123","object":"response","status":"in_progress","model":"gpt-4o"}}

data: {"type":"response.output_text.delta","delta":"Responses"}

data: {"type":"response.output_text.delta","delta":" API"}

data: {"type":"response.completed","response":{"id":"resp_abc123","status":"completed","usage":{"prompt_tokens":26,"completion_tokens":62,"total_tokens":88}}}

data: [DONE]

{
  "error": {
    "message": "model is required",
    "type": "invalid_request_error",
    "param": "",
    "code": "invalid_request"
  }
}

{
  "error": {
    "message": "Invalid API key provided",
    "type": "invalid_request_error",
    "param": "",
    "code": "invalid_api_key"
  }
}

{
  "error": {
    "message": "User quota is insufficient",
    "type": "new_api_error",
    "param": "",
    "code": "insufficient_user_quota"
  }
}

{
  "error": {
    "message": "The current request rate is too high, please try again later",
    "type": "new_api_error",
    "param": "",
    "code": "too_many_requests"
  }
}

{
  "error": {
    "message": "bad response body",
    "type": "new_api_error",
    "param": "",
    "code": "bad_response_body"
  }
}

Context Compression

POST /v1/responses/compact

Used to compress a long context into a summary suitable for continuing the conversation later. The request structure is similar to /v1/responses, and the commonly used fields are model, input, instructions, and previous_response_id.

curl -X POST https://zx1.deepwl.net/v1/responses/compact \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gpt-4o",
    "instructions": "Compress this into context that can continue to be used in subsequent conversations, preserving decisions, constraints, and action items.",
    "input": [
      { "role": "user", "content": "First-round requirements..." },
      { "role": "assistant", "content": "First-round proposal..." }
    ]
  }'

Overview

Text Models

Image Models

Video Models

Uploads

Tasks

Account

OpenAI Multimodal Responses API

OpenAI Multimodal Responses API

Request Body

Request Example

Multimodal Input

Tool Calling

Streaming Output

Response Example

Context Compression

​OpenAI Multimodal Responses API

​Request Body

​Request Example

​Multimodal Input

​Tool Calling

​Streaming Output

​Response Example

​Context Compression

​Related Interfaces

OpenAI Multimodal Responses API

Request Body

Request Example

Multimodal Input

Tool Calling

Streaming Output

Response Example

Context Compression

Related Interfaces