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Build LangGraph Payment Router State Machine

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Linked challenge: Build a Resilient Payment Gateway Dynamic Router with LangChain and LangGraph

Format
Code-aware
Lines
21
Sections
5
Linked challenge
Build a Resilient Payment Gateway Dynamic Router with LangChain and LangGraph

Prompt source

Original prompt text with formatting preserved for inspection.

21 lines
5 sections
No variables
0 checklist items
from typing import TypedDict, Annotated
from langgraph.graph import StateGraph, END

class PaymentState(TypedDict):
    transaction_id: str
    amount: float
    currency: str
    failed_gateways: list[str]
    current_gateway: str
    status: str
    routing_reason: str

def evaluate_health_node(state: PaymentState):
    # Node logic to check gateway health metrics...
    pass

def route_fallback_node(state: PaymentState):
    # Node logic to pick optimal operational fallback...
    pass

workflow = StateGraph(PaymentState)
workflow.add_node("health_check", evaluate_health_node)
workflow.add_node("route_fallback", route_fallback_node)
workflow.set_entry_point("health_check")
# Define conditional edges and compile graph...

Adaptation plan

Keep the source stable, then change the prompt in a predictable order so the next run is easier to evaluate.

Keep stable

Hold the task contract and output shape stable so generated implementations remain comparable.

Tune next

Update libraries, interfaces, and environment assumptions to match the stack you actually run.

Verify after

Test failure handling, edge cases, and any code paths that depend on hidden context or secrets.