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Error Recovery Strategies

Build resilient agentic systems that gracefully handle failures and recover intelligently

Intelligent Retry Logic

Not all retries are created equal. The when and how of retrying determines whether you recover gracefully or amplify failures into cascading outages.

The Retry Golden Rules

Only retry transient errors — Don't retry permanent failures
Use exponential backoff — Give failing services time to recover
Add jitter — Prevent synchronized retry storms
Set maximum retry limits — Fail fast when recovery is unlikely
Make retries idempotent — Same request multiple times = same result

Three Retry Strategies

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Fixed Delay

Wait the same amount of time between each retry attempt.

Retry 1: wait 1s → Retry 2: wait 1s → Retry 3: wait 1s
⚠️ Problem: Can overwhelm recovering services with constant load
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Exponential Backoff

Double the wait time after each failed attempt.

Retry 1: wait 1s → Retry 2: wait 2s → Retry 3: wait 4s → Retry 4: wait 8s
✓ Better: Gives systems time to recover, but still predictable
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Exponential Backoff + Jitter (Recommended)

Exponential backoff with random variation to prevent synchronized retries.

Retry 1: wait 0.9s → Retry 2: wait 2.3s → Retry 3: wait 4.7s → Retry 4: wait 9.1s
✓ Best: Spreads retry load over time, prevents thundering herd

Interactive: Retry Strategy Simulator

Configure retry parameters and see how different strategies affect timing:

Strategy: Exponential
Double wait time after each failure. Gives systems time to recover, but predictable.
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Best Practice

Always implement a maximum retry limit (typically 3-5 attempts) and a maximum total wait time (e.g., 30 seconds). This prevents indefinite retry loops and ensures you fail fast when recovery is unlikely.

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