> ## Documentation Index
> Fetch the complete documentation index at: https://docs.julep.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Error Handling

> Best practices for handling errors in Julep SDKs

# Error Handling

Learn how to effectively handle errors and exceptions when using Julep SDKs.

## Common Error Types

### API Errors

```python theme={"dark"}
try:
    agent = client.agents.create(name="Test Agent")
except julep.APIError as e:
    print(f"API Error: {e.status_code} - {e.message}")
```

### Authentication Errors

```python theme={"dark"}
try:
    client = julep.Client(api_key="invalid_key")
except julep.AuthenticationError as e:
    print(f"Auth failed: {e}")
```

### Rate Limit Errors

```python theme={"dark"}
try:
    results = client.agents.list()
except julep.RateLimitError as e:
    print(f"Rate limited. Retry after: {e.retry_after} seconds")
```

## Error Handling Patterns

### Retrying Failed Requests

```python theme={"dark"}
from julep.utils import retry_with_backoff

@retry_with_backoff(max_retries=3)
def create_agent_with_retry():
    return client.agents.create(name="Test Agent")
```

### Graceful Degradation

```python theme={"dark"}
def get_agent_safely(agent_id):
    try:
        return client.agents.get(agent_id)
    except julep.NotFoundError:
        return create_default_agent()
    except julep.APIError:
        return use_cached_agent(agent_id)
```

## Best Practices

1. Always wrap API calls in try-except blocks
2. Handle specific exceptions before generic ones
3. Implement retry logic for transient failures
4. Log errors with appropriate context
5. Provide meaningful error messages to users