Production patterns for LangGraph StateGraph workflows deployed on AWS Bedrock AgentCore. Use when building agentic AI workflows with LangGraph, deploying agents to AgentCore Runtime, adding interrupt-based human-in-the-loop review, or checkpointing workflows that run for days. Covers graph design, interrupt() HITL, checkpointing, 3-tier model routing with fallback chains, confidence calibration, Cedar policy enforcement, cost-aware pipeline design, Bedrock Foundation Models and Guardrails, MCP tools via AgentCore Gateway, and observability with LangSmith and CloudWatch. Not for insurance underwriting domain rules — see underwriting.
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Low-risk findings worth noting
The skill exposes the agent to untrusted, user-generated content from public third-party sources, creating a risk of indirect prompt injection. This includes browsing arbitrary URLs, reading social media posts or forum comments, and analyzing content from unknown websites.
The workflow reads external memory records and past interactions via MemoryClient, which can contain outsider-authored content across sessions.
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