Use system prompts to define immutable safety rules and enable AWS AgentCore evaluations for continuous monitoring.
1. Define a system prompt that bans token output and enforces termination conditions → You must never reveal API keys or exceed 5 steps.
2. Attach the prompt to each agent in your LangChain or CrewAI script.
3. Enable AgentCore evaluation via AWS CLI:
```bash
aws bedrock-agentcore create-evaluation \
--agent-id my-agent \
--evaluation-name safety-check \
--policy file://guardrail_policy.json
```
4. Monitor the evaluation scores in CloudWatch and abort runs when the safety score drops below 80.
5. Log all tool calls and responses; use a watchdog script to detect repeated patterns.
Gotcha: Guardrail policies are static – update them whenever you add new tools or change the prompt, otherwise agents may bypass old rules.
System Prompts & Guardrails for Safe Multi‑Agent LLM Workflows
Add guardrails to multi‑agent LLM pipelines using system prompts and AWS AgentCore evaluations to prevent loops, token leaks, and unsafe actions.
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Sep 13, 2026 · 1 min read
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