Introduction to Chat

Welcome to the Chat service documentation! This service provides a multi-protocol AI API gateway, supporting OpenAI Compatible API, OpenAI Responses API, Anthropic (Claude) Compatible API, and Google Gemini Native API. You can use official SDKs or any compatible client (such as Cherry Studio, Claude Code, Cursor, etc.) to access our powerful language models.

🌟 Key Features

Multi-Protocol Support

Our Chat API supports multiple API formats to meet different needs:

Protocol	Base URL	Description
OpenAI Compatible	`https://api.mountsea.ai/chat`	兼容 OpenAI Chat Completions API
OpenAI Responses	`https://api.mountsea.ai/chat`	兼容 OpenAI Responses API 格式
Anthropic (Claude)	`https://api.mountsea.ai/chat/claude`	兼容 Anthropic Messages API，支持 Claude Code
Gemini Native	`https://api.mountsea.ai/chat/gemini`	兼容 Google Gemini Native API

注意 Base URL 区别：Claude Code 使用的 Base URL 为 https://api.mountsea.ai/chat/claude，其他协议统一使用 https://api.mountsea.ai/chat。

OpenAI Compatible

✅ Use the official OpenAI Python/Node.js SDK directly
✅ No code changes needed - just update base_url and api_key
✅ Full support for streaming responses
✅ Support for Function Calling / Tools
✅ Support for JSON Mode and structured outputs

OpenAI Responses API

✅ Support the new OpenAI Responses API format (/v1/responses)
✅ Compatible with Cherry Studio and other clients using Responses API
✅ Simplified input format with input and instructions

Anthropic (Claude Code) Compatible

✅ Use Claude Code CLI directly with our service
✅ Compatible with Anthropic Python/TypeScript SDK
✅ Full support for streaming, tools, and system prompts
✅ Access Claude models (claude-4.5, claude-opus-4-6, claude-sonnet-4-6, etc.)

Supported Models

We provide access to various high-quality language models:

Model	Type	Description
`gpt-5.1`	OpenAI	Latest GPT-5.1 model
`gpt-5.1-all`	OpenAI	GPT-5.1 with all capabilities
`gpt-5.1-thinking`	OpenAI	GPT-5.1 with enhanced reasoning
`gpt-5.1-thinking-all`	OpenAI	GPT-5.1 thinking with all capabilities
`gpt-5.1-2025-11-13`	OpenAI	GPT-5.1 snapshot (2025-11-13)
`gpt-5.2`	OpenAI	Latest GPT-5.2 model
`gemini-3-pro`	Google	Google Gemini 3 Pro
`gemini-2.5-pro`	Google	Google Gemini 2.5 Pro
`gemini-2.5-flash`	Google	Google Gemini 2.5 Flash (faster)
`gemini-3-flash`	Google	Google Gemini 3 Flash (faster)
`gemini-3.1-pro`	Google	Google Gemini 3.1 Pro
`claude-4.5`	Anthropic	Claude 4.5 model
`claude-opus-4-6`	Anthropic	Claude Opus 4.6 model
`claude-sonnet-4-6`	Anthropic	Claude Sonnet 4.6 model
`claude-haiku-4-5-20251001`	Anthropic	Claude Haiku 4.5 (轻量快速)

🚀 Quick Start

Using OpenAI Python SDK

from openai import OpenAI

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

response = client.chat.completions.create(
    model="gpt-5.1",
    messages=[
        {"role": "system", "content": "You are a helpful assistant."},
        {"role": "user", "content": "Hello!"}
    ]
)

print(response.choices[0].message.content)

Using OpenAI Node.js SDK

import OpenAI from 'openai';

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

const response = await client.chat.completions.create({
    model: 'gpt-5.1',
    messages: [
        { role: 'system', content: 'You are a helpful assistant.' },
        { role: 'user', content: 'Hello!' }
    ]
});

console.log(response.choices[0].message.content);

Streaming Responses

from openai import OpenAI

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

stream = client.chat.completions.create(
    model="gpt-5.1",
    messages=[{"role": "user", "content": "Tell me a story"}],
    stream=True
)

for chunk in stream:
    if chunk.choices[0].delta.content:
        print(chunk.choices[0].delta.content, end="")

Using cURL

curl https://api.mountsea.ai/chat/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer your-api-key" \
  -d '{
    "model": "gpt-5.1",
    "messages": [
      {"role": "system", "content": "You are a helpful assistant."},
      {"role": "user", "content": "Hello!"}
    ]
  }'

🤖 Claude Code 接入指南

Claude Code 是 Anthropic 官方的 AI 编程 CLI 工具。通过配置我们的 API，你可以直接使用 Claude Code 进行 AI 辅助编程。

Claude Code 使用 Anthropic Messages API 格式，Base URL 为 https://api.mountsea.ai/chat/claude，与其他协议不同，请注意区分。

配置方法

设置环境变量即可使用：

macOS / Linux
Windows (PowerShell)
Windows (CMD)

# 设置 API Key 和 Base URL
export ANTHROPIC_API_KEY="your-api-key"
export ANTHROPIC_BASE_URL="https://api.mountsea.ai/chat/claude"

# 启动 Claude Code
claude

持久化配置（添加到 ~/.bashrc 或 ~/.zshrc）：

echo 'export ANTHROPIC_API_KEY="your-api-key"' >> ~/.zshrc
echo 'export ANTHROPIC_BASE_URL="https://api.mountsea.ai/chat/claude"' >> ~/.zshrc
source ~/.zshrc

# 设置环境变量
$env:ANTHROPIC_API_KEY = "your-api-key"
$env:ANTHROPIC_BASE_URL = "https://api.mountsea.ai/chat/claude"

# 启动 Claude Code
claude

持久化配置：

[System.Environment]::SetEnvironmentVariable("ANTHROPIC_API_KEY", "your-api-key", "User")
[System.Environment]::SetEnvironmentVariable("ANTHROPIC_BASE_URL", "https://api.mountsea.ai/chat/claude", "User")

:: 设置环境变量
set ANTHROPIC_API_KEY=your-api-key
set ANTHROPIC_BASE_URL=https://api.mountsea.ai/chat/claude

:: 启动 Claude Code
claude

使用 Anthropic SDK 调用

Python
Node.js
cURL

import anthropic

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

message = client.messages.create(
    model="claude-sonnet-4-6",
    max_tokens=4096,
    system="You are a helpful coding assistant.",
    messages=[
        {"role": "user", "content": "Write a Python function to sort a list"}
    ]
)

print(message.content[0].text)

Streaming:

with client.messages.stream(
    model="claude-sonnet-4-6",
    max_tokens=4096,
    messages=[{"role": "user", "content": "Explain async/await in Python"}]
) as stream:
    for text in stream.text_stream:
        print(text, end="")

Install:

pip install anthropic

import Anthropic from '@anthropic-ai/sdk';

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

const message = await client.messages.create({
    model: 'claude-sonnet-4-6',
    max_tokens: 4096,
    system: 'You are a helpful coding assistant.',
    messages: [
        { role: 'user', content: 'Write a TypeScript function to sort an array' }
    ]
});

console.log(message.content[0].text);

Streaming:

const stream = await client.messages.stream({
    model: 'claude-sonnet-4-6',
    max_tokens: 4096,
    messages: [{ role: 'user', content: 'Explain async/await in JavaScript' }]
});

for await (const event of stream) {
    if (event.type === 'content_block_delta' && event.delta.type === 'text_delta') {
        process.stdout.write(event.delta.text);
    }
}

Install:

npm install @anthropic-ai/sdk

curl https://api.mountsea.ai/chat/claude/v1/messages \
  -H "Content-Type: application/json" \
  -H "x-api-key: your-api-key" \
  -H "anthropic-version: 2023-06-01" \
  -d '{
    "model": "claude-sonnet-4-6",
    "max_tokens": 4096,
    "system": "You are a helpful assistant.",
    "messages": [
      {"role": "user", "content": "Hello, Claude!"}
    ]
  }'

📱 Cherry Studio 接入指南

Cherry Studio 是一款功能强大的 AI 桌面客户端，支持多种 API 格式。你可以通过配置我们的 API 在 Cherry Studio 中使用所有模型。

配置 OpenAI 兼容模式（推荐）

打开设置

在 Cherry Studio 中，进入设置 → 模型服务商 → 点击添加

配置 API

填写以下信息：

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

添加模型

点击 添加模型，手动输入模型名称，例如：gpt-5.1、claude-sonnet-4-6、gemini-3-flash 等

开始对话

在对话界面选择对应模型，即可开始使用

配置 OpenAI Responses 模式

如果 Cherry Studio 使用 OpenAI Responses API 格式，配置方式相同：

配置项	值
API 地址	`https://api.mountsea.ai/chat`
API Key	你的 API Key
API 格式	OpenAI Responses

📋 Available Endpoints

OpenAI Compatible API

Endpoint	Method	Description
`/chat/chat/completions`	POST	Create a chat completion
`/chat/v1/chat/completions`	POST	Create a chat completion (v1)
`/chat/models`	GET	List available models
`/chat/models/{model}`	GET	Get model details

OpenAI Responses API

Endpoint	Method	Description
`/chat/v1/responses`	POST	Create a response (Responses API 格式)

Anthropic Compatible API (Claude Code)

Base URL: https://api.mountsea.ai/chat/claude (注意与其他 API 不同)

Endpoint	Method	Description
`/chat/claude/v1/messages`	POST	Create a message (Anthropic 格式)

Gemini Native API

Endpoint	Method	Description
`/chat/gemini/{apiVersion}/models/{model}:generateContent`	POST	Generate content (non-streaming)
`/chat/gemini/{apiVersion}/models/{model}:streamGenerateContent`	POST	Generate content (streaming)

The Gemini Native API allows you to use the official @google/genai SDK directly. See Gemini API for details.

Explore the API Documentation

OpenAI Compatible:

Chat Completions - Create chat completions
List Models - Get available models
Get Model - Get specific model info

OpenAI Responses API:

Responses API - Create responses using OpenAI Responses format

Anthropic Compatible (Claude Code):

Claude Messages API - Use Claude Code or Anthropic SDK

Gemini Native:

Gemini API - Use native Google Gemini SDK

For more details, visit the full MountSea API Documentation.

​Introduction to Chat

​🌟 Key Features

​Multi-Protocol Support

​OpenAI Compatible

​OpenAI Responses API

​Anthropic (Claude Code) Compatible

​Supported Models

​🚀 Quick Start

​Using OpenAI Python SDK

​Using OpenAI Node.js SDK

​Streaming Responses

​Using cURL

​🤖 Claude Code 接入指南

​配置方法

​使用 Anthropic SDK 调用

​📱 Cherry Studio 接入指南

​配置 OpenAI 兼容模式（推荐）

​配置 OpenAI Responses 模式

​📋 Available Endpoints

​OpenAI Compatible API

​OpenAI Responses API

​Anthropic Compatible API (Claude Code)

​Gemini Native API

​Explore the API Documentation

Introduction to Chat

🌟 Key Features

Multi-Protocol Support

OpenAI Compatible

OpenAI Responses API

Anthropic (Claude Code) Compatible

Supported Models

🚀 Quick Start

Using OpenAI Python SDK

Using OpenAI Node.js SDK

Streaming Responses

Using cURL

🤖 Claude Code 接入指南

配置方法

使用 Anthropic SDK 调用

📱 Cherry Studio 接入指南

配置 OpenAI 兼容模式（推荐）

配置 OpenAI Responses 模式

📋 Available Endpoints

OpenAI Compatible API

OpenAI Responses API

Anthropic Compatible API (Claude Code)

Gemini Native API

Explore the API Documentation