worldmm.llm.openai_gpt:OpenAI API error: Error code: 429 - {'error': {'message':...
错误信息
ERROR:worldmm.llm.openai_gpt:OpenAI API error: Error code: 429 - {'error': {'message': ' (request id: 20260320134003864090976i2QfM1d)', 'type': 'rix_api_error', 'param': '', 'code': None}}
INFO:httpx:HTTP Request: POST https://www.dmxapi.cn/v1/responses "HTTP/1.1 429 Too Many Requests"
AI 解决方案
报错分析报告
1.错误翻译
原文：OpenAI API error: Error code: 429 - {'error': {'message': ' (request id: 20260320134003864090976i2QfM1d)', 'type': 'rix_api_error', 'param': '', 'code': None}}；HTTP/1.1 429 Too Many Requests
译文：OpenAI API错误：错误码429 - 请求过于频繁（请求ID: 20260320134003864090976i2QfM1d）；HTTP响应状态429 请求过多
2. 原因分析
POST https://www.dmxapi.cn/v1/responses接口时，短时间内发起过多请求触发限流。3.解决方案
采用指数退避重试策略降低请求频率，示例Python代码：
import requests
import time
def call_dmxapi_with_retry(max_retries=3, base_delay=4):
url = "https://www.dmxapi.cn/v1/responses"
headers = {"Authorization": "Bearer YOUR_API_KEY"} # 替换为实际密钥
payload = {"model": "gpt-3.5-turbo", "input": "你的请求内容"}
for attempt in range(max_retries):
try:
response = requests.post(url, headers=headers, json=payload, timeout=10)
response.raise_for_status() # 抛出非200错误
return response.json()
except requests.exceptions.HTTPError as e:
if e.response.status_code == 429:
wait_time = base_delay * (2 ** attempt) # 指数退避计算等待时间
print(f"⚠️ 速率限制，第{attempt+1}次重试，等待{wait_time}秒...")
time.sleep(wait_time)
else:
raise # 非429错误直接抛出
raise Exception("❌ 超过最大重试次数，请检查请求频率")
# 使用示例
try:
result = call_dmxapi_with_retry()
print("✅ 请求成功:", result)
except Exception as e:
print("❌ 最终失败:", e)
4. 预防措施
tenacity库（简化重试逻辑）、ratelimit库（限流）；Postman（测试API速率阈值）。---
注：替换代码中的YOUR_API_KEY为实际密钥，根据实际业务调整max_retries和base_delay。