Error Handling and Retries

Python

import time
import anthropic

client = anthropic.Anthropic(api_key="your-api-key", base_url="https://aisupermarket.work")

def chat_with_retry(messages, max_retries=3):
    for attempt in range(max_retries):
        try:
            response = client.messages.create(
                model="claude-opus-4-7",
                max_tokens=1024,
                messages=messages,
            )
            return response.content[0].text
        except anthropic.RateLimitError:
            wait = 2 ** attempt
            print(f"Rate limited, retrying in {wait} seconds...")
            time.sleep(wait)
        except anthropic.APITimeoutError:
            print("Request timed out, retrying...")
        except anthropic.APIConnectionError as e:
            print(f"Connection error: {e}")
            break
        except anthropic.BadRequestError as e:
            raise  # Do not retry parameter errors
    raise Exception("Request failed after the maximum number of retries")

JavaScript

import Anthropic from "@anthropic-ai/sdk";

const client = new Anthropic({ apiKey: "your-api-key", baseURL: "https://aisupermarket.work" });

async function chatWithRetry(messages, maxRetries = 3) {
  for (let attempt = 0; attempt < maxRetries; attempt++) {
    try {
      const response = await client.messages.create({
        model: "claude-opus-4-7",
        max_tokens: 1024,
        messages,
      });
      return response.content[0].text;
    } catch (err) {
      if (err instanceof Anthropic.RateLimitError) {
        const wait = 2 ** attempt;
        console.log(`Rate limited, retrying in ${wait} seconds...`);
        await new Promise(r => setTimeout(r, wait * 1000));
      } else if (err instanceof Anthropic.APIConnectionTimeoutError) {
        console.log("Request timed out, retrying...");
      } else if (err instanceof Anthropic.BadRequestError) {
        throw err; // Do not retry parameter errors
      } else {
        break;
      }
    }
  }
  throw new Error("Request failed after the maximum number of retries");
}

curl

# curl script with retries
for attempt in 1 2 3; do
  response=$(curl -s -w "\n%{http_code}" https://aisupermarket.work/v1/messages \
    -H "x-api-key: your-api-key" \
    -H "anthropic-version: 2023-06-01" \
    -H "content-type: application/json" \
    -d '{"model": "claude-opus-4-7", "max_tokens": 1024, "messages": [{"role": "user", "content": "Hello"}]}')

  http_code=$(echo "$response" | tail -1)
  body=$(echo "$response" | head -1)

  if [ "$http_code" = "200" ]; then
    echo "$body"
    break
  elif [ "$http_code" = "429" ]; then
    echo "Rate limited, waiting before retry..."
    sleep $((2 ** attempt))
  else
    echo "Request failed: $http_code"
    break
  fi
done

Use Built-In Retries

Python

import anthropic

# SDK built-in automatic retries
client = anthropic.Anthropic(
    api_key="your-api-key",
    base_url="https://aisupermarket.work",
    max_retries=3,  # default is 2
    timeout=60.0,
)

JavaScript

import Anthropic from "@anthropic-ai/sdk";

// SDK built-in automatic retries
const client = new Anthropic({
  apiKey: "your-api-key",
  maxRetries: 3, // default is 2
  timeout: 60000,
});

curl

# curl uses --retry for built-in retries
curl --retry 3 --retry-delay 2 \
  https://aisupermarket.work/v1/messages \
  -H "x-api-key: your-api-key" \
  -H "anthropic-version: 2023-06-01" \
  -H "content-type: application/json" \
  -d '{"model": "claude-opus-4-7", "max_tokens": 1024, "messages": [{"role": "user", "content": "Hello"}]}'

Common Error Codes

Error Type	Status Code	Cause	Fix
AuthenticationError	401	Invalid API Key	Check the Key
PermissionDeniedError	403	Insufficient permission	Check account permissions
NotFoundError	404	Resource does not exist	Check the model name
RateLimitError	429	Rate limit exceeded	Retry with exponential backoff
APIStatusError	500	Server-side error	Retry later
OverloadedError	529	Service overloaded	Retry later