Bounded Iteration — Why max_iterations Matters

Key Takeaways

• max_iterations is a hard orchestration-layer contract, not an LLM-level suggestion — enforce it in your agent harness the same way a circuit-breaker enforces a retry threshold, independent of what the model signals.
• Unbounded ReAct loops produce cascading failures: context window saturation degrades reasoning quality before token-limit errors surface, so the agent appears to 'keep working' while producing increasingly incoherent tool calls.
• Size max_iterations to your tool-call latency budget and downstream API rate limits, not to a notional task complexity ceiling — instrument each loop iteration as a discrete span in your distributed trace so you can set data-driven thresholds.
• Memory anchor: treat max_iterations exactly like a circuit-breaker retry threshold — the value must be derived from SLO telemetry, set externally to the component being guarded, and trigger a defined fallback, not a silent hang.