Responses API - MountSea API

💡 About

此接口兼容 OpenAI Responses API 格式，这是 OpenAI 推出的新一代 API 格式。适用于：

Cherry Studio 等支持 Responses API 格式的客户端
使用 OpenAI SDK 的 responses.create() 方法
需要简化的 input/instructions 参数格式的场景

Base URL: https://api.mountsea.ai/chat，与 OpenAI Chat Completions API 共用相同的 Base URL。

💡 Quick Examples

Python
Node.js
cURL

from openai import OpenAI

client = OpenAI(
    api_key="your-api-key",
    base_url="https://api.mountsea.ai/chat"
)

# Basic response
response = client.responses.create(
    model="gpt-5.1",
    instructions="You are a helpful assistant.",
    input="Hello! What can you help me with?"
)

print(response.output_text)

With message array input:

response = client.responses.create(
    model="gpt-5.1",
    input=[
        {
            "role": "user",
            "content": "Tell me a joke about programming"
        }
    ]
)

print(response.output_text)

Streaming:

stream = client.responses.create(
    model="gpt-5.1",
    instructions="You are a helpful assistant.",
    input="Tell me a story",
    stream=True
)

for event in stream:
    if hasattr(event, 'delta'):
        print(event.delta, end="")

import OpenAI from 'openai';

const client = new OpenAI({
    apiKey: 'your-api-key',
    baseURL: 'https://api.mountsea.ai/chat'
});

// Basic response
const response = await client.responses.create({
    model: 'gpt-5.1',
    instructions: 'You are a helpful assistant.',
    input: 'Hello! What can you help me with?'
});

console.log(response.output_text);

With message array input:

const response = await client.responses.create({
    model: 'gpt-5.1',
    input: [
        {
            role: 'user',
            content: 'Tell me a joke about programming'
        }
    ]
});

console.log(response.output_text);

Streaming:

const stream = await client.responses.create({
    model: 'gpt-5.1',
    instructions: 'You are a helpful assistant.',
    input: 'Tell me a story',
    stream: true
});

for await (const event of stream) {
    if (event.type === 'response.output_text.delta') {
        process.stdout.write(event.delta);
    }
}

curl https://api.mountsea.ai/chat/v1/responses \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer your-api-key" \
  -d '{
    "model": "gpt-5.1",
    "instructions": "You are a helpful assistant.",
    "input": "Hello! What can you help me with?"
  }'

With message array input:

curl https://api.mountsea.ai/chat/v1/responses \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer your-api-key" \
  -d '{
    "model": "gpt-5.1",
    "input": [
      {"role": "user", "content": "Tell me a joke"}
    ]
  }'

📤 Response Format

Non-streaming Response

{
  "id": "resp_xxx",
  "object": "response",
  "created_at": 1234567890,
  "model": "gpt-5.1",
  "output": [
    {
      "type": "message",
      "role": "assistant",
      "content": [
        {
          "type": "output_text",
          "text": "Hello! I can help you with all sorts of things..."
        }
      ]
    }
  ],
  "usage": {
    "input_tokens": 30,
    "output_tokens": 15,
    "total_tokens": 45
  }
}

📱 Cherry Studio 配置

使用 Cherry Studio 接入 Responses API：

配置项	值
服务商名称	`MountSea AI`
API 地址	`https://api.mountsea.ai/chat`
API Key	你的 API Key
模型名称	例如 `gpt-5.1`、`claude-sonnet-4-6` 等

🔧 Responses API vs Chat Completions API

特性	Chat Completions	Responses API
端点	`/v1/chat/completions`	`/v1/responses`
输入格式	`messages` 数组	`input` (字符串或数组)
系统提示	`messages` 中 role=system	`instructions` 参数
响应格式	`choices[0].message.content`	`output_text`
流式响应	✅	✅
Function Calling	✅	✅

两种 API 格式都能访问所有模型。如果你使用的客户端支持 Chat Completions 格式，推荐使用 Chat Completions。如果客户端使用 Responses 格式（如部分版本的 Cherry Studio），则使用此接口。

🔧 API Reference

The interactive API form below is auto-generated from OpenAPI spec.

​💡 About

​💡 Quick Examples

​📤 Response Format

​Non-streaming Response

​📱 Cherry Studio 配置

​🔧 Responses API vs Chat Completions API

​🔧 API Reference

💡 About

💡 Quick Examples

📤 Response Format

Non-streaming Response

📱 Cherry Studio 配置

🔧 Responses API vs Chat Completions API

🔧 API Reference