error-handling-patterns

Handling errors in async API calls requires wrapping service-specific failures in typed custom errors, implementing retries for timeouts, and returning safe fallbacks for graceful degradation when downstream systems are unavailable.

Implementing a circuit breaker for transient failures involves standardizing exception propagation, safely cleaning up network resources, and applying fallback behavior to ensure applications remain stable during recoverable downstream failures.

Using result types or exceptions depends on the failure context: result modeling suits expected validation failures and recoverable edge cases, while typed custom exceptions handle unexpected bugs and preserve contextual logging for production requirements.

This error handling approach supports Rust and Go workflows by standardizing typed custom errors, contextual logging, and safe resource cleanup across Python, TypeScript, Rust, and Go to satisfy production reliability requirements.

Ensuring resource cleanup when file operations fail requires safely passing errors upward through propagation while guaranteeing that transactions, files, and network resources are always released during safe recovery from recoverable failures.