Error Handling Protocols

API failure handling implements retry logic with exponential backoff strategies. Define timeout thresholds and rate-limit responses per data source, then apply automatic retries with graceful degradation to maintain system reliability when sources fail or become unavailable.

Graceful degradation uses fallback strategies and data caching to continue operations when primary sources fail. Prioritize available data sources, cache recent results, and execute workflows with reduced data rather than failing completely, ensuring fault-tolerant behavior across retrieval and processing.

Standardized logging with Sentry integration and alerting provides auditability and real-time visibility into failures. Log all retries, timeouts, and fallback decisions with contextual metadata, enabling rapid diagnosis of infrastructure issues and automatic notifications when thresholds are exceeded.

Fail-fast logic applies to unrecoverable errors and rate-limit responses to prevent cascading failures. Use retries with backoff for transient failures like timeouts and temporary unavailability, and fail immediately for permanent errors or exhausted retry budgets to maintain system responsiveness.

Source prioritization ranks available data providers and switches to fallbacks when primary sources fail. The system automatically selects the next available source based on reliability history and current status, delivering fault-tolerant data retrieval without manual intervention.