AI Agent Guardrails: Pre-LLM & Post-LLM Best Practices | Arthur

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1. Toxicity detection: Flag harmful or inappropriate content before it's surfaced to users. “Tool and action validation: Verify the agent selected the right tools or took the right actions given the user's request.” Output format compliance: Ensure responses conform to the expected structure before they're passed downstream.

   In AI SDR agent evaluation

2. Emit guardrail events as telemetry and monitor failure rates over time to catch emerging issues before your users do. “Combined with observability, prompt management, and continuous evals, guardrails complete the runtime layer of a production-grade agent system.” Up Next

   In Outbound stack architecture