code: 500 - {'error': {'message': 'stream error: stream ID 8667; INTERNAL_ERROR;...
🚨 错误信息
报错Error code: 500 - {'error': {'message': 'stream error: stream ID 8667; INTERNAL_ERROR; received from peer', 'type': 'read_response_body_failed', 'param': '', 'code': 'read_response_body_failed'}}是连接不稳定吗
🤖 AI解决方案
错误翻译
原文:stream error: stream ID 8667; INTERNAL_ERROR; received from peer
译文:流错误:流ID 8667;内部错误;从对等端接收
原因分析
这是一个HTTP流连接中断错误,主要原因:- 网络连接不稳定导致数据传输中断
- 服务器端或客户端网络波动
- 流连接超时或被意外关闭
- 服务器内部处理异常
解决方案
方案1:添加重试机制
import requests
import time
from requests.adapters import HTTPAdapter
from urllib3.util.retry import Retry
# 配置重试策略
retry_strategy = Retry(
total=3,
backoff_factor=1,
status_forcelist=[500, 502, 503, 504],
)
# 创建会话并配置重试
session = requests.Session()
adapter = HTTPAdapter(max_retries=retry_strategy)
session.mount("http://", adapter)
session.mount("https://", adapter)
# 使用会话发送请求
try:
response = session.get("your_api_endpoint")
except requests.exceptions.ConnectionError:
print("连接失败,请检查网络")
方案2:使用指数退避重试
import requests
import time
def make_request_with_retry(url, max_retries=3):
for attempt in range(max_retries):
try:
response = requests.get(url, timeout=30)
return response
except (requests.exceptions.ConnectionError,
requests.exceptions.Timeout,
requests.exceptions.ChunkedEncodingError) as e:
if attempt == max_retries - 1:
raise e
wait_time = 2 ** attempt # 指数退避
print(f"第{attempt+1}次重试,等待{wait_time}秒")
time.sleep(wait_time)
# 使用示例
response = make_request_with_retry("your_api_endpoint")
️ 预防措施
推荐工具:使用 ping 命令测试网络延迟,或使用 curl -I 检查API端点可用性