_from_response(err.response) from None openai.AuthenticationError: Error code: 4...
🚨 错误信息
Traceback (most recent call last):
File "D:\.workspace\zzz\python\hello_langchain\1_structured_output.py", line 42, in <module>
result = structured_llm.invoke("Tell me a joke about cats")
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "D:\programs\anaconda3\envs\hello_langchain\Lib\site-packages\langchain_core\runnables\base.py", line 3244, in invoke
input_ = context.run(step.invoke, input_, config, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "D:\programs\anaconda3\envs\hello_langchain\Lib\site-packages\langchain_core\runnables\base.py", line 5711, in invoke
return self.bound.invoke(
^^^^^^^^^^^^^^^^^^
File "D:\programs\anaconda3\envs\hello_langchain\Lib\site-packages\langchain_core\language_models\chat_models.py", line 395, in invoke
self.generate_prompt(
File "D:\programs\anaconda3\envs\hello_langchain\Lib\site-packages\langchain_core\language_models\chat_models.py", line 1025, in generate_prompt
return self.generate(prompt_messages, stop=stop, callbacks=callbacks, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "D:\programs\anaconda3\envs\hello_langchain\Lib\site-packages\langchain_core\language_models\chat_models.py", line 842, in generate
self._generate_with_cache(
File "D:\programs\anaconda3\envs\hello_langchain\Lib\site-packages\langchain_core\language_models\chat_models.py", line 1091, in _generate_with_cache
result = self._generate(
^^^^^^^^^^^^^^^
File "D:\programs\anaconda3\envs\hello_langchain\Lib\site-packages\langchain_openai\chat_models\base.py", line 935, in _generate
response = self.root_client.beta.chat.completions.parse(**payload)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "D:\programs\anaconda3\envs\hello_langchain\Lib\site-packages\openai\resources\chat\completions\completions.py", line 183, in parse
return self._post(
^^^^^^^^^^^
File "D:\programs\anaconda3\envs\hello_langchain\Lib\site-packages\openai\_base_client.py", line 1259, in post
return cast(ResponseT, self.request(cast_to, opts, stream=stream, stream_cls=stream_cls))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "D:\programs\anaconda3\envs\hello_langchain\Lib\site-packages\openai\_base_client.py", line 1047, in request
raise self._make_status_error_from_response(err.response) from None
openai.AuthenticationError: Error code: 401 - {'error': {'code': '', 'message': 'Invalid Token (request id: 20251230144351322133164Mxouj3eE)', 'type': 'rix_api_error'}}
🤖 AI解决方案
报错分析报告
1. 错误翻译
原文：openai.AuthenticationError: Error code: 401 - {'error': {'code': '', 'message': 'Invalid Token (request id: 20251230144351322133164Mxouj3eE)', 'type': 'rix_api_error'}}
译文：OpenAI认证错误：错误代码401 - {'error': {'code': '', 'message': '无效的令牌（请求ID：20251230144351322133164Mxouj3eE）', 'type': 'rix_api_error'}}
2. 原因分析
这是一个 API认证失败 错误，具体表现为：
structured_llm.invoke()方法时，实际发生在OpenAI API的认证环节3. 解决方案
方法一：检查并更新API密钥
python
在代码开头或环境变量中正确设置API密钥
import os
from langchain_openai import ChatOpenAI方法A：设置环境变量
os.environ["OPENAI_API_KEY"] = "sk-你的有效API密钥"方法B：直接在初始化时传入
llm = ChatOpenAI(
api_key="sk-你的有效API密钥",
model="gpt-3.5-turbo"
)
方法二：验证API密钥有效性
python
验证API密钥是否有效
import openaiopenai.api_key = "sk-你的API密钥"
try:
# 尝试一个简单的API调用
response = openai.Completion.create(
engine="text-davinci-003",
prompt="Hello",
max_tokens=5
)
print("API密钥有效！")
except openai.error.AuthenticationError:
print("API密钥无效，请重新生成！")
4.️ 预防措施
最佳实践建议
- 使用环境变量存储API密钥，避免硬编码
- 定期轮换API密钥，确保安全性
- 为不同环境（开发、测试、生产）使用不同的密钥
python
from langchain_core.exceptions import LangChainError
try:
result = structured_llm.invoke("Tell me a joke about cats")
except Exception as e:
if "401" in str(e) or "AuthenticationError" in str(e):
print("API认证失败，请检查API密钥配置")
else:
print(f"其他错误：{e}")
推荐工具
python-dotenv管理不同环境的配置---
关键提示：请登录OpenAI平台，确认您的API密钥是否：