Claude API Error Codes Reference

Claude API Error Codes Reference: 400, 401, 403, 429, 500, 529

When working with the Claude API, understanding error codes is essential for building reliable applications. This reference guide covers every common HTTP error code returned by the Claude API, explains what causes each error, and provides concrete solutions and code examples for handling them.

400 Bad Request

The request body is malformed or contains invalid parameters.

Common causes:

# Example: Missing required field
# Error: {"type":"error","error":{"type":"invalid_request_error","message":"messages: field required"}}

# Fix: Ensure all required fields are present
curl https://claude4u.com/antigravity/v1/messages \
  -H "x-api-key: $ANTHROPIC_API_KEY" \
  -H "content-type: application/json" \
  -H "anthropic-version: 2023-06-01" \
  -d '{
    "model": "claude-sonnet-4-20250514",
    "max_tokens": 1024,
    "messages": [{"role": "user", "content": "Hello"}]
  }'

401 Unauthorized

The API key is missing, invalid, or revoked.

Common causes:

# Verify your key is set
echo $ANTHROPIC_API_KEY

# For relay services, ensure you're using the relay key (cr_ prefix)
export ANTHROPIC_API_KEY="cr_your_relay_key_here"
export ANTHROPIC_BASE_URL="https://claude4u.com/antigravity"
Tip: If you switched between direct Anthropic access and a relay service, make sure both ANTHROPIC_API_KEY and ANTHROPIC_BASE_URL are consistent. A relay key will not work with Anthropic directly, and vice versa.

403 Forbidden

The API key is valid but does not have permission for the requested operation.

Common causes:

429 Too Many Requests (Rate Limited)

You have exceeded the rate limit for your API key or account tier.

Common causes:

# Implement exponential backoff in Python
import time
import anthropic

client = anthropic.Anthropic()

def call_with_retry(messages, max_retries=5):
    for attempt in range(max_retries):
        try:
            return client.messages.create(
                model="claude-sonnet-4-20250514",
                max_tokens=1024,
                messages=messages
            )
        except anthropic.RateLimitError:
            wait_time = 2 ** attempt  # 1, 2, 4, 8, 16 seconds
            print(f"Rate limited. Waiting {wait_time}s...")
            time.sleep(wait_time)
    raise Exception("Max retries exceeded")
Tip: A relay service like claude4u.com pools multiple accounts, effectively multiplying your rate limits. This is the most practical solution for applications that frequently hit 429 errors.

500 Internal Server Error

An unexpected error occurred on Anthropic's servers.

What to do:

529 Overloaded

Anthropic's API is temporarily overloaded and cannot process your request. This is different from 429 (your personal rate limit) — 529 means the overall system is under heavy load.

What to do:

# Node.js retry with 529 handling
async function callClaude(messages, retries = 5) {
  for (let i = 0; i < retries; i++) {
    try {
      return await client.messages.create({
        model: 'claude-sonnet-4-20250514',
        max_tokens: 1024,
        messages
      });
    } catch (err) {
      if (err.status === 529 || err.status === 429) {
        const delay = Math.pow(2, i) * 1000;
        console.log(`Server busy (${err.status}). Retrying in ${delay}ms...`);
        await new Promise((r) => setTimeout(r, delay));
      } else {
        throw err;
      }
    }
  }
  throw new Error('Max retries exceeded');
}
Warning: Do not aggressively retry on 429 or 529 errors without backoff. Rapid retries will worsen the rate limiting and may result in your key being temporarily blocked. Always use exponential backoff with jitter.

Error Handling Best Practices

  1. Always implement retry logic with exponential backoff for 429, 500, and 529 errors.
  2. Log error details including the error type, message, and request ID for debugging.
  3. Set request timeouts to prevent hanging connections (60-120 seconds for non-streaming).
  4. Use a relay service to handle 529 errors automatically through multi-account failover.
  5. Monitor error rates and alert when they exceed normal thresholds.
  6. Validate requests client-side before sending to catch 400 errors early.

Understanding these error codes and implementing proper handling ensures your Claude API integration is robust and production-ready. A relay service like claude4u.com handles many of these errors automatically through intelligent retry and account pooling.

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