首次调用 API

支持的接口类型

Xiaomi MiMo API 开放平台兼容 OpenAI API 、Anthropic API 两种主流 API 格式，您可以使用现有 SDK 来使用模型推理服务。

调用前准备

登录 Xiaomi MiMo API 开放平台

目前平台仅提供个人账号登录方式，需使用小米账号登录，如已注册过小米账号，可直接登录；若无小米账号，可访问控制台进行注册，或在 id.mi.com 提前注册。

获取 API Key

在控制台-API Keys 创建 API Key。请妥善保管您的 API Key，避免泄露造成额度被盗用，建议将 API Key 配置到环境变量。

快速接入示例

可复制以下 API 示例代码，并替换 API Key 的值，即可快速调用。

强烈建议使用以下系统提示词，请从英文和中文版本中选择。

中文

你是MiMo（中文名称也是MiMo），是小米公司研发的AI智能助手。
今天的日期：{date} {week}，你的知识截止日期是2024年12月。

英文

You are MiMo, an AI assistant developed by Xiaomi.
Today's date: {date} {week}. Your knowledge cutoff date is December 2024.

Python SDK 示例

OpenAI API 格式示例

通过运行以下命令安装 OpenAI Python SDK：

# 如果运行失败，您可以将pip替换成pip3再运行
pip install -U openai

调用 API：

import os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ.get("MIMO_API_KEY"),
    base_url="https://api.xiaomimimo.com/v1"
)

completion = client.chat.completions.create(
    model="mimo-v2.5-pro",
    messages=[
        {
            "role": "system",
            "content": "You are MiMo, an AI assistant developed by Xiaomi. Today is date: Tuesday, December 16, 2025. Your knowledge cutoff date is December 2024."
        },
        {
            "role": "user",
            "content": "please introduce yourself"
        }
    ],
    max_completion_tokens=1024,
    temperature=1.0,
    top_p=0.95,
    stream=False,
    stop=None,
    frequency_penalty=0,
    presence_penalty=0
)

print(completion.model_dump_json())

Anthropic API 格式示例

通过运行以下命令安装 Anthropic Python SDK：

# 如果运行失败，您可以将pip替换成pip3再运行
pip install -U anthropic

调用 API：

import os
from anthropic import Anthropic

client = Anthropic(
    api_key=os.environ.get("MIMO_API_KEY"),
    base_url="https://api.xiaomimimo.com/anthropic"
)

message = client.messages.create(
    model="mimo-v2.5-pro",
    max_tokens=1024,
    system="You are MiMo, an AI assistant developed by Xiaomi. Today is date: Tuesday, December 16, 2025. Your knowledge cutoff date is December 2024.",
    messages=[
        {
            "role": "user",
            "content": [
                {
                    "type": "text",
                    "text": "please introduce yourself"
                }
            ]
        }
    ],
    top_p=0.95,
    stream=False,
    temperature=1.0,
    stop_sequences=None
)

print(message.content)

Curl 示例

OpenAI API 格式示例

curl --location --request POST 'https://api.xiaomimimo.com/v1/chat/completions' \
--header "api-key: $MIMO_API_KEY" \
--header "Content-Type: application/json" \
--data-raw '{
    "model": "mimo-v2.5-pro",
    "messages": [
        {
            "role": "system",
            "content": "You are MiMo, an AI assistant developed by Xiaomi. Today is date: Tuesday, December 16, 2025. Your knowledge cutoff date is December 2024."
        },
        {
            "role": "user",
            "content": "please introduce yourself"
        }
    ],
    "max_completion_tokens": 1024,
    "temperature": 1.0,
    "top_p": 0.95,
    "stream": false,
    "stop": null,
    "frequency_penalty": 0,
    "presence_penalty": 0
}'

Anthropic API 格式示例

curl --location --request POST 'https://api.xiaomimimo.com/anthropic/v1/messages' \
--header "api-key: $MIMO_API_KEY" \
--header "Content-Type: application/json" \
--data-raw '{
    "model": "mimo-v2.5-pro",
    "max_tokens": 1024,
    "system": "You are MiMo, an AI assistant developed by Xiaomi. Today is date: Tuesday, December 16, 2025. Your knowledge cutoff date is December 2024.",
    "messages": [
        {
            "role": "user",
            "content": [
                {
                    "type": "text",
                    "text": "please introduce yourself"
                }
            ]
        }
    ],
    "top_p": 0.95,
    "stream": false,
    "temperature": 1.0,
    "stop_sequences": null
}'

在思考模式下进行多轮工具调用

在思考模式下的多轮工具调用过程中，模型会在返回 tool_calls 字段的同时返回 reasoning_content 字段。若要继续对话，建议在后续每次请求的 messages 数组中保留所有历史 reasoning_content，以获得最佳表现。

请求示例如下：

curl --location --request POST 'https://api.xiaomimimo.com/v1/chat/completions' \
--header "api-key: $MIMO_API_KEY" \
--header "Content-Type: application/json" \
--data-raw '{
    "messages": [
        {
            "role": "assistant",
            "content": "Hello! I am MiMo.",
            "reasoning_content": "Okay, the user just asked me to introduce myself. That is a pretty straightforward request, but I should think about why they are asking this."
        },
        {
            "role": "user",
            "content": "What is the weather like in Hebei?"
        }
    ],
    "model": "mimo-v2.5-pro",
    "max_completion_tokens": 1024,
    "temperature": 1.0,
    "stream": false,
    "tools": [
        {
            "type": "function",
            "function": {
                "name": "get_current_weather",
                "description": "Get the current weather in a given location",
                "parameters": {
                    "type": "object",
                    "properties": {
                        "location": {
                            "type": "string",
                            "description": "The city and state, e.g. San Francisco, CA"
                        },
                        "unit": {
                            "type": "string",
                            "enum": [
                                "celsius",
                                "fahrenheit"
                            ]
                        }
                    },
                    "required": [
                        "location"
                    ]
                }
            }
        }
    ],
    "tool_choice": "auto"
}'

查看用量信息

在用量信息页面，您可以按照日期查看、导出账号的模型 Tokens 用量及请求次数详细数据。

更新时间 2026 年 04 月 22 日