sage-recovery-patterns

You can prevent cascading failures by implementing a circuit breaker pattern that trips after a configurable threshold of API failures, stopping traffic to the failing LLM provider and preventing system-wide overload.

The best way to handle LLM API rate limiting is configuring a SlidingWindowRateLimiter to cap traffic, preventing API throttling and avoiding upstream overload from excessive requests.

Configure retry policies with backoff for transient LLM errors by setting an exponential Backoff RetryPolicy with a defined max_retries limit, ensuring automated recovery without overwhelming the API.

Yes, you can integrate fault tolerance patterns into Rust-based or service-oriented architectures, as these composable resilience components are designed for existing systems requiring stateful supervision and robust error handling.

You need a supervisor to manage long-running LLM tasks and handle restarts when the API is unresponsive, ensuring robust error handling and maintaining reliable workflow execution across failures.

Avoid using a circuit breaker for LLM integrations when transient errors are infrequent and the application tolerates minor latency, as tripping the circuit might unnecessarily block valid chat workflow requests.