代码调用教程

uv init
uv add openai

from openai import OpenAI

# ===== 配置区域（请修改为您自己的信息）=====
API_KEY = "sk-xxxxxxxx"  # 替换为您的 API Key
BASE_URL = "https://open.cherryin.net/v1"
MODEL = "openai/gpt-5-chat"  # 您想使用的模型
# ==========================================

# 创建客户端
client = OpenAI(
    api_key=API_KEY,
    base_url=BASE_URL
)

# 发送请求
response = client.chat.completions.create(
    model=MODEL,
    messages=[
        {"role": "user", "content": "你好，请用一句话介绍你自己"}
    ]
)

# 打印 AI 的回复
print(response.choices[0].message.content)

uv run hello_ai.py

from openai import OpenAI

client = OpenAI(
    api_key="sk-xxxxxxxx",  # 替换为您的 API Key
    base_url="https://open.cherryin.net/v1"
)

# 对话历史
messages = []

def chat(user_input):
    # 添加用户消息
    messages.append({"role": "user", "content": user_input})

    # 发送请求
    response = client.chat.completions.create(
        model="openai/gpt-5-chat",
        messages=messages
    )

    # 获取 AI 回复
    ai_reply = response.choices[0].message.content

    # 将 AI 回复添加到历史
    messages.append({"role": "assistant", "content": ai_reply})

    return ai_reply

# 进行多轮对话
print("AI:", chat("我叫小明"))
print("AI:", chat("我刚才说我叫什么？"))  # AI 会记住你的名字

from openai import OpenAI

client = OpenAI(
    api_key="sk-xxxxxxxx",  # 替换为您的 API Key
    base_url="https://open.cherryin.net/v1"
)

# 开启流式输出
stream = client.chat.completions.create(
    model="openai/gpt-5-chat",
    messages=[
        {"role": "user", "content": "讲一个100字的小故事"}
    ],
    stream=True  # 关键参数
)

# 逐块打印
for chunk in stream:
    if chunk.choices and chunk.choices[0].delta.content:
        print(chunk.choices[0].delta.content, end="", flush=True)

from openai import OpenAI

client = OpenAI(
    api_key="sk-xxxxxxxx",  # 替换为您的 API Key
    base_url="https://open.cherryin.net/v1"
)

response = client.chat.completions.create(
    model="openai/gpt-5-chat",
    messages=[
        {
            "role": "system",
            "content": "你是一个专业的英语老师，用简单易懂的方式解释语法问题。"
        },
        {
            "role": "user",
            "content": "什么是现在完成时？"
        }
    ]
)

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

from openai import OpenAI

client = OpenAI(
    api_key="sk-xxxxxxxx",  # 替换为您的 API Key
    base_url="https://open.cherryin.net/v1"
)

response = client.chat.completions.create(
    model="openai/gpt-5-chat",
    messages=[
        {"role": "user", "content": "写一首关于春天的诗"}
    ],
    temperature=0.8,  # 创造力（0-2，越高越有创意，默认 1）
    max_tokens=500,   # 最大输出字数
    top_p=0.9         # 采样范围（0-1，越低越确定）
)

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

from openai import OpenAI

# 配置
API_KEY = "sk-xxxxxxxx"  # 替换为您的 API Key
BASE_URL = "https://open.cherryin.net/v1"
MODEL = "openai/gpt-5-chat"

# 创建客户端
client = OpenAI(api_key=API_KEY, base_url=BASE_URL)

# 对话历史，包含系统提示
messages = [
    {"role": "system", "content": "你是一个友好的AI助手，用简洁的中文回答问题。"}
]

print("=" * 50)
print("欢迎使用 CherryIN 聊天机器人！")
print("输入 'quit' 或 'exit' 退出")
print("=" * 50)

while True:
    # 获取用户输入
    user_input = input("\n你: ").strip()

    # 检查退出条件
    if user_input.lower() in ['quit', 'exit', 'q']:
        print("再见！")
        break

    if not user_input:
        continue

    # 添加用户消息
    messages.append({"role": "user", "content": user_input})

    try:
        # 流式输出
        print("\nAI: ", end="", flush=True)

        stream = client.chat.completions.create(
            model=MODEL,
            messages=messages,
            stream=True
        )

        # 收集完整回复
        full_reply = ""
        for chunk in stream:
            if chunk.choices and chunk.choices[0].delta.content:
                content = chunk.choices[0].delta.content
                print(content, end="", flush=True)
                full_reply += content

        print()  # 换行

        # 保存 AI 回复到历史
        messages.append({"role": "assistant", "content": full_reply})

    except Exception as e:
        print(f"\n发生错误: {e}")