2026-07-30
Designing Agent Loops That Fail Gracefully: Error Handling Patterns
Practical patterns for adding retry logic, fallback branches, and structured error reporting to your agent loop designs.
← Back to BlogAgent loops that work perfectly in testing often fall apart in production when an API times out or a model returns unexpected output. The difference between a loop that crashes and one that degrades gracefully is how you design the error paths. Three patterns cover most cases. First, wrap external calls in retry nodes with exponential backoff and a maximum attempt count. Second, add a fallback branch after each critical decision node that routes to a safe default output when confidence drops below a threshold. Third, emit structured error events at each failure point so downstream monitoring can distinguish transient network issues from logic errors. LoopCraft loop exports now include placeholder error-handling nodes in the generated code skeleton, giving you a starting point rather than a blank catch block. Feedback: sapsap@qq.com.
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