Fix Non-Determinism Errors

Fix Non-Determinism Errors

Overview

This skill helps diagnose and fix non-determinism errors in Output SDK workflows. Workflows must be deterministic because Temporal may replay them during recovery or retries, and the replay must produce identical results.

When to Use This Skill

You're seeing:

• "non-deterministic" error messages
• Replay failures after workflow restart
• Inconsistent results between runs with same input
• Errors during workflow recovery
• Warnings about determinism violations

Root Cause

Temporal workflows must be deterministic: given the same input, they must always execute the same sequence of operations. This is because Temporal replays workflow history to recover state after crashes or restarts.

Non-deterministic operations break this replay mechanism because they produce different values each time.

Common Causes and Solutions

1. Math.random()

Problem: Random values differ on each execution.

// WRONG: Non-deterministic
export default workflow( {
  fn: async input => {
    const id = Math.random().toString( 36 );  // Different each time!
    return await processWithId( { id } );
  }
} );

Solution: Pass random values as workflow input or generate in a step.