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implementation

Construct Underwriting LangGraph

Inspect the original prompt language first, then copy or adapt it once you know how it fits your workflow.

Linked challenge: Build a Credit Risk Underwriting Agent with LangChain & LangGraph

Format
Code-aware
Lines
7
Sections
2
Linked challenge
Build a Credit Risk Underwriting Agent with LangChain & LangGraph

Prompt source

Original prompt text with formatting preserved for inspection.

7 lines
2 sections
No variables
0 checklist items
from langgraph.graph import StateGraph
from typing import TypedDict

# Define Credit Oman underwriting workflow graph
class UnderwritingState(TypedDict):
    buyer_data: dict
    credit_score: float
    decision: str

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.