錯誤處理

{
  "error": {
    "code": "invalid_api_key",
    "message": "提供的 API Key 無效，請檢查後重試。",
    "type": "authentication_error"
  }
}

{"error": {"code": "invalid_api_key", "message": "The API key provided is invalid."}}

import time
import random
from openai import OpenAI, APIError, RateLimitError, APIConnectionError
 
client = OpenAI(
    base_url="https://as.apinoma.com/v1",
    api_key="<你的 APINOMA_API_KEY>"
)
 
def chat_with_retry(max_retries=5, **kwargs):
    """帶指數退避的重試封裝"""
    for attempt in range(max_retries):
        try:
            return client.chat.completions.create(**kwargs)
 
        except RateLimitError:
            # 429: 等待後重試
            wait = (2 ** attempt) + random.uniform(0, 1)
            print(f"觸發限流，等待 {wait:.1f}s 後重試...")
            time.sleep(wait)
 
        except APIConnectionError:
            # 網路錯誤：短暫等待後重試
            wait = 2 ** attempt
            print(f"連線錯誤，等待 {wait}s 後重試...")
            time.sleep(wait)
 
        except APIError as e:
            if e.status_code and e.status_code >= 500:
                # 5xx: 伺服器錯誤，重試
                wait = 2 ** attempt
                time.sleep(wait)
            else:
                # 4xx: 客戶端錯誤，不重試
                raise
 
    raise Exception(f"重試 {max_retries} 次後仍然失敗")
 
# 使用
response = chat_with_retry(
    model="openai/gpt-4o",
    messages=[{"role": "user", "content": "你好"}]
)

# Python OpenAI SDK
client = OpenAI(
    base_url="https://as.apinoma.com/v1",
    api_key="<你的 APINOMA_API_KEY>",
    timeout=60.0,  # 60 秒超時
    max_retries=3  # SDK 內建重試
)