Originally published at claudeguide.io/claude-agent-error-handling
How to Handle Errors and Retries in Claude Agent SDK
Production Claude agents fail in predictable ways — rate limit errors (429), overload errors (529), network timeouts, tool call failures, and infinite loops. Each requires a different recovery strategy, and the difference between a production-grade agent and a fragile prototype is having all five handled correctly. This guide covers every error type, the right retry strategy for each, and the circuit breaker pattern that prevents cascading failures.
The Error Taxonomy
Claude Agent SDK errors fall into five categories:
| Category | HTTP Status | Cause | Retry? |
|---|---|---|---|
| Rate limit | 429 | Too many requests | Yes, with backoff |
| Overloaded | 529 | API server busy | Yes, with backoff |
| Auth error | 401 | Bad API key | No — fix the key |
| Invalid request | 400 | Bad parameters | No — fix the code |
| Network failure | No status | Connection dropped | Yes, immediately |
| Tool failure | N/A | Your tool code crashed | Depends |
| Agent loop | N/A | Agent running forever | Kill after max turns |
Base Error Handling Setup
Start with this error handling wrapper before building anything else:
python
import anthropic
import time
import random
from typing import Callable, TypeVar
client = anthropic.Anthropic()
T = TypeVar("T")
def with_retry(
fn: Callable[[], T],
max_retries: int = 3,
base_delay: float = 1.0,
max_delay: float = 60.0,
) -
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