( "The api_key client option must be set either by passing api_key to the client...

2025年10月08日 15:50 响应: 2.87秒 状态: success

🚨 错误信息

Traceback (most recent call last): File "D:\新建文件夹\langchain-base\构建聊天机器人.py", line 8, in <module> model = ChatOpenAI(model="gpt-3.5-turbo") File "C:\Users\27717\AppData\Roaming\Python\Python313\site-packages\langchain_core\load\serializable.py", line 115, in __init__ super().__init__(*args, **kwargs) ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^ File "D:\software\Python\Lib\site-packages\pydantic\main.py", line 253, in __init__ validated_self = self.__pydantic_validator__.validate_python(data, self_instance=self) File "C:\Users\27717\AppData\Roaming\Python\Python313\site-packages\langchain_openai\chat_models\base.py", line 825, in validate_environment self.root_client = openai.OpenAI(**client_params, **sync_specific) # type: ignore[arg-type] ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "D:\software\Python\Lib\site-packages\openai\_client.py", line 135, in __init__ raise OpenAIError( "The api_key client option must be set either by passing api_key to the client or by setting the OPENAI_API_KEY environment variable" ) openai.OpenAIError: The api_key client option must be set either by passing api_key to the client or by setting the OPENAI_API_KEY environment variable

🤖 AI解决方案

openai.OpenAIError: The api_key client option must be set either by passing api_key to the client or by setting the OPENAI_API_KEY environment variable

错误翻译

openai.OpenAIError: api_key 客户端选项必须通过将 api_key 传递给客户端或设置 OPENAI_API_KEY 环境变量来设置

原因分析

未设置 OpenAI API 密钥。

解决方案

请在代码中添加您的 OpenAI API 密钥,或者将其设置为环境变量 OPENAI_API_KEY

方法一:代码中设置

import os
from langchain_openai import ChatOpenAI

# 替换为你的实际 API 密钥
os.environ["OPENAI_API_KEY"] = "YOUR_OPENAI_API_KEY"

model = ChatOpenAI(model="gpt-3.5-turbo")

方法二:设置环境变量

在您的操作系统中设置 OPENAI_API_KEY 环境变量。

  • Windows:
  • 在命令提示符中输入:
        set OPENAI_API_KEY=YOUR_OPENAI_API_KEY
        
    或者在系统属性中进行永久设置。

  • macOS/Linux:

  • 在终端中输入:
        export OPENAI_API_KEY='YOUR_OPENAI_API_KEY'
        

    然后运行您的 Python 脚本。

    预防措施

  • 在项目启动前,务必检查并配置所有必要的 API 密钥和凭证。

  • 优先使用环境变量来管理敏感信息,避免将密钥硬编码在代码中,提高安全性。