gpt4 转发api开发文档示例教程

python openai官方库（使用AutoGPT，langchain等）

示例代码请参考以下示例

方法一import openai openai.api_base = “https://api.xbbdkj.com/v1”
# openai.api_base = “https://api.xbbdkj.com/v1”

方法二（方法一不起作用用这个）

修改环境变量OPENAI_API_BASE，各个系统怎么改环境变量请自行搜索，修改环境变量后不起作用请重启系统。OPENAI_API_BASE=https://api.xbbdkj.com/v1
或 OPENAI_API_BASE=https://api.xbbdkj.com/v1

以下是PY示例代码

import openai

# openai.log = "debug"
openai.api_key = "sk-"
openai.api_base = "https://api.xbbdkj.com/v1"



# 非流式响应
# completion = openai.ChatCompletion.create(model="gpt-3.5-turbo", messages=[{"role": "user", "content": "Hello world!"}])
# print(completion.choices[0].message.content)

def gpt_35_api_stream(messages: list):
    """为提供的对话消息创建新的回答 (流式传输)

    Args:
        messages (list): 完整的对话消息
        api_key (str): OpenAI API 密钥

    Returns:
        tuple: (results, error_desc)
    """
    try:
        response = openai.ChatCompletion.create(
            model='gpt-3.5-turbo',
            messages=messages,
            stream=True,
        )
        completion = {'role': '', 'content': ''}
        for event in response:
            if event['choices'][0]['finish_reason'] == 'stop':
                print(f'收到的完成数据: {completion}')
                break
            for delta_k, delta_v in event['choices'][0]['delta'].items():
                print(f'流响应数据: {delta_k} = {delta_v}')
                completion[delta_k] += delta_v
        messages.append(completion)  # 直接在传入参数 messages 中追加消息
        return (True, '')
    except Exception as err:
        return (False, f'OpenAI API 异常: {err}')

if __name__ == '__main__':
    messages = [{'role': 'user','content': '鲁迅和周树人的关系'},]
    print(gpt_35_api_stream(messages))
    print(messages)