实时推理 API 接入说明

from openai import OpenAI

client = OpenAI(
    base_url='https://openai.qiniu.com/v1',
    api_key='your qiniu_ai_api_key'
)

# 获取可用模型列表
models = client.models.list()
for model in models.data:
    print(f"模型ID: {model.id}")

from openai import OpenAI

openai_base_url = 'https://openai.qiniu.com/v1'
openai_api_key = 'your qiniu_ai_api_key'

client = OpenAI(
    base_url=openai_base_url,
    api_key=openai_api_key
)

# 发送带有流式输出的请求
content = ""
messages = [
    {"role": "user", "content": "夸一夸七牛云 AI 推理服务"}
]
response = client.chat.completions.create(
    model="deepseek-v3",
    messages=messages,
    stream=True,  # 启用流式输出
    max_tokens=4096
)

# 逐步接收并处理响应
for chunk in response:
    if chunk.choices[0].delta.content:
        content += chunk.choices[0].delta.content

print("第一轮回复:")
print(content)

# Round 2 - 继续对话
messages.append({"role": "assistant", "content": content})
messages.append({'role': 'user', 'content': "继续"})

response = client.chat.completions.create(
    model="deepseek-v3",
    messages=messages,
    stream=True
)

# 重置 content 变量来存储第二轮回复
second_content = ""
for chunk in response:
    if chunk.choices[0].delta.content:
        second_content += chunk.choices[0].delta.content

print("第二轮回复:")
print(second_content)

from openai import OpenAI

openai_base_url = 'https://openai.qiniu.com/v1'
openai_api_key = 'your qiniu_ai_api_key'

client = OpenAI(
    base_url=openai_base_url,
    api_key=openai_api_key
)

# 发送非流式输出的请求
messages = [
    {"role": "user", "content": "夸一夸七牛云 AI 推理服务"}
]
response = client.chat.completions.create(
    model="deepseek-v3",
    messages=messages,
    stream=False, 
    max_tokens=4096
)
content = response.choices[0].message.content
print("第一轮回复:")
print(content)

# Round 2 - 继续对话
messages.append({"role": "assistant", "content": content})
messages.append({'role': 'user', 'content': "继续"})

response = client.chat.completions.create(
    model="deepseek-v3",
    messages=messages,
    stream=False
)
second_content = response.choices[0].message.content
print("第二轮回复:")
print(second_content)

import requests

# 上传文件到七牛对象存储
def upload_file_to_qiniu(file_path, upload_url, upload_token, file_key):
    """
    上传文件到七牛对象存储
    
    Args:
        file_path: 本地文件路径
        upload_url: 空间区域上传地址
        upload_token: 上传 token
        file_key: 保存的文件名称
    
    Returns:
        response: 上传响应结果
    """
    # 使用 with 语句确保文件正确关闭
    with open(file_path, "rb") as file:
        files = {
            "file": file
        }
        
        # 其他表单字段
        data = {
            "key": file_key,
            "token": upload_token
        }
        
        # 发送 POST 请求
        response = requests.post(upload_url, files=files, data=data)
    
    # 输出响应
    print("Status Code:", response.status_code)
    print("Response Body:", response.text)
    
    return response

# 使用示例
if __name__ == "__main__":
    upload_url = "你的空间区域上传地址"
    file_path = "上传的文件地址"
    upload_token = "你的上传token"
    file_key = "保存的文件名称"
    
    result = upload_file_to_qiniu(file_path, upload_url, upload_token, file_key)