Examples

File	Demonstrates
`examples/basic.py`	Minimal `JevClient` usage
`examples/langgraph_basic.py`	A minimal LangGraph graph with a `JevNode`
`examples/confidence_routing.py`	Thresholds and `low_confidence="human_review"`
`examples/work_ticket.py`	Building a `WorkTicket` from Jev's decisions
`examples/multi_agent.py`	Full graph: understand -> Jev -> ticket -> routed workers

All examples read TYPESAFE_API_KEY from the environment (or a local .env file, if you installed langgraph-jev[examples]) and make real calls to the Jev API.

WorkTicket

Jev doesn't generate the WorkTicket itself -- it provides the decisions, and your application code builds the typed contract from them:

decision = state["decision"]

ticket = WorkTicket(
    id="WT-1234",
    type=decision["work_type"].value,
    priority=decision["priority"].value,
    needs_engineer=decision["needs_engineer"].value,
    title=request["title"],
    description=request["description"],
    context={"customerTier": request.get("customerTier")},
    acceptance_criteria=["Identify root cause", "Add regression coverage if appropriate"],
)

Terminal output of examples/work_ticket.py

See examples/work_ticket.py for the full example: an understand step feeds Jev, Jev's decisions build a WorkTicket, and the ticket routes to a coding, support, or docs worker. examples/multi_agent.py wires this into a complete LangGraph graph with routed worker nodes.