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LangGraph in Production on OCI: Patterns That Hold Up

Design patterns for agentic workflows that stay observable, testable, and cost-efficient when deployed on OCI.

The problem with “demo agents”

Most agent demos fail in production for the same reasons:

  • no deterministic boundaries (everything is a tool call)
  • poor observability (no traces, no structured logs)
  • no evaluation strategy (quality drifts quietly)
  • cost surprises (unbounded retries and context growth)

A production-minded baseline

When building LangGraph flows:

  • keep state small and explicit
  • make tool I/O schemas strict
  • enforce retry budgets per node
  • emit structured events per transition

OCI deployment notes

For cost and operations, prefer event-driven compute and avoid always-on workers unless you truly need low-latency.

What I ship first

  • a minimal “happy path” graph
  • a failure mode path with safe fallbacks
  • a small eval suite that runs in CI