Production architecture and choosing LangGraph
Practice this questionOverview
- A production graph sits within an authenticated application, durable execution service, approved tools, checkpoint store, and monitoring system.
- LangChain supplies components; LangGraph controls stateful execution.
- A graph can be deterministic, agentic, or hybrid depending on its nodes and transitions.
Why this matters
The graph runtime is only one part of a reliable customer-facing system.
An everyday example
A railway map also needs ticketing, signals, maintenance, and operating rules.
A technical example
Node API starts a task → queue dispatches graph worker → checkpoint DB stores progress → tool service enforces business rules → trace system records the run.
How it works
- Authenticate task
- Persist run
- Execute bounded nodes
- Checkpoint
- Pause or finish
- Publish safe status
- Reconcile external effects.
Architecture and flow
Next.js → Node API → graph worker ↔ checkpoint DB → authorized tools → business DB/API, with traces across all calls.
The insurance assistant example
Claim preparation uses LangGraph; a multi-day claim investigation may use Temporal outside it for timers, staff events, and durable business coordination.
When to use it
Explicit branching, pause/resume, and recoverable agent state are real requirements.
When to avoid it
Use a simple bounded loop for a short read-only assistant or a workflow engine for purely deterministic long-running business processes.
Interview answer
“LangChain helps build components; LangGraph helps control stateful execution. I select LangGraph when branching and resumability justify it, and use durable business orchestration where needed.”
Benefits, trade-offs, and production considerations
- Plan deployment draining, pending approval migration, concurrent thread access, checkpoint growth, retention, queue delays, and disaster recovery.
- Keep user-facing status grounded in durable business records rather than a worker's last log line.
| Comparison | Practical choice |
|---|---|
| LangChain vs LangGraph | Components/integrations versus explicit stateful orchestration; they can work together |
| Simple agent vs LangGraph | Simple bounded loop for a short task; graph when state, branching, review, and recovery expand |
| Workflow vs LangGraph agent | Workflow defines controlled process; agent delegates some next-step choices to a model. LangGraph can express either |
| LangGraph vs Temporal | Agent state/decision orchestration versus durable business execution and coordination; combine only when requirements justify both |