s.APIError.raise_for_response(response) File "C:\Users\98317\.conda\envs\DMXAPI\...
🚨 错误信息
Traceback (most recent call last):
File "c:\Users\98317\Desktop\Project_DMXAPI\kehu\Google\gemini-3-pro-image-preview多图融合.py", line 53, in <module>
response = client.models.generate_content(
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\98317\.conda\envs\DMXAPI\Lib\site-packages\google\genai\models.py", line 5218, in generate_content
response = self._generate_content(
^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\98317\.conda\envs\DMXAPI\Lib\site-packages\google\genai\models.py", line 4000, in _generate_content
response = self._api_client.request(
^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\98317\.conda\envs\DMXAPI\Lib\site-packages\google\genai\_api_client.py", line 1388, in request
response = self._request(http_request, http_options, stream=False)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\98317\.conda\envs\DMXAPI\Lib\site-packages\google\genai\_api_client.py", line 1224, in _request
return self._retry(self._request_once, http_request, stream) # type: ignore[no-any-return]
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\98317\.conda\envs\DMXAPI\Lib\site-packages\tenacity\__init__.py", line 477, in __call__
do = self.iter(retry_state=retry_state)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\98317\.conda\envs\DMXAPI\Lib\site-packages\tenacity\__init__.py", line 378, in iter
result = action(retry_state)
^^^^^^^^^^^^^^^^^^^
File "C:\Users\98317\.conda\envs\DMXAPI\Lib\site-packages\tenacity\__init__.py", line 420, in exc_check
raise retry_exc.reraise()
^^^^^^^^^^^^^^^^^^^
File "C:\Users\98317\.conda\envs\DMXAPI\Lib\site-packages\tenacity\__init__.py", line 187, in reraise
raise self.last_attempt.result()
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\98317\.conda\envs\DMXAPI\Lib\concurrent\futures\_base.py", line 449, in result
return self.__get_result()
^^^^^^^^^^^^^^^^^^^
File "C:\Users\98317\.conda\envs\DMXAPI\Lib\concurrent\futures\_base.py", line 401, in __get_result
raise self._exception
File "C:\Users\98317\.conda\envs\DMXAPI\Lib\site-packages\tenacity\__init__.py", line 480, in __call__
result = fn(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^
File "C:\Users\98317\.conda\envs\DMXAPI\Lib\site-packages\google\genai\_api_client.py", line 1201, in _request_once
errors.APIError.raise_for_response(response)
File "C:\Users\98317\.conda\envs\DMXAPI\Lib\site-packages\google\genai\errors.py", line 106, in raise_for_response
cls.raise_error(response.status_code, response_json, response)
File "C:\Users\98317\.conda\envs\DMXAPI\Lib\site-packages\google\genai\errors.py", line 133, in raise_error
raise ServerError(status_code, response_json, response)
google.genai.errors.ServerError: 524 None. {'error': {'message': '', 'type': 'rix_api_error', 'param': '', 'code': 'bad_response_status_code'}}
🤖 AI解决方案
错误翻译
原文：ServerError: 524 None. {'error': {'message': '', 'type': 'rix_api_error', 'param': '', 'code': 'bad_response_status_code'}}
译文：服务器错误：524 无内容。{'错误': {'消息': '', '类型': 'rix_api错误', '参数': '', '代码': '错误的响应状态码'}}原因分析
根本原因：Google Gemini API 服务器返回了 524 网关超时错误详细分析：
- 错误发生在调用
client.models.generate_content()方法时 - 服务器端处理请求超时，导致网关返回 524 错误状态码
- 这是一个服务器端的错误，而非客户端代码问题
- 错误类型为
rix_api_error，表明是 API 内部处理异常
解决方案
方案1：添加重试机制
import time
from google.genai import errors
def generate_content_with_retry(client, model, content, max_retries=3, delay=5):
for attempt in range(max_retries):
try:
response = client.models.generate_content(
model=model,
contents=content
)
return response
except errors.ServerError as e:
if attempt < max_retries - 1:
print(f"第 {attempt + 1} 次尝试失败，{delay}秒后重试...")
time.sleep(delay)
delay *= 2 # 指数退避
else:
raise e
# 使用重试函数替代直接调用
response = generate_content_with_retry(client, "gemini-pro", your_content)方案2：优化请求参数
# 简化请求内容，减少处理时间
response = client.models.generate_content(
model="gemini-pro",
contents=your_content,
# 添加超时设置
request_options={"timeout": 30000} # 30秒超时
)️ 预防措施
1. 实现稳健的重试逻辑
# 使用 tenacity 库实现智能重试
from tenacity import retry, stop_after_attempt, wait_exponential
@retry(stop=stop_after_attempt(3), wait=wait_exponential(multiplier=1, min=4, max=10))
def robust_generate_content(client, content):
return client.models.generate_content(model="gemini-pro", contents=content)2. 监控和日志记录
建议：这类错误通常是暂时性的服务器问题，合理的重试策略可以有效解决。