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implementation

LangGraph Stateful Setup

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

Linked challenge: LangChain Multi-Specialty Commercial Alliance Program Exposure Auditor

Format
Code-aware
Lines
9
Sections
3
Linked challenge
LangChain Multi-Specialty Commercial Alliance Program Exposure Auditor

Prompt source

Original prompt text with formatting preserved for inspection.

9 lines
3 sections
No variables
0 checklist items
from langgraph.graph import StateGraph, END
from typing import TypedDict

class AuditState(TypedDict):
    account_data: dict
    discounts: list
    gaps: list

workflow = StateGraph(AuditState)
# Add nodes for restaurant, workers comp, and cyber audit...
# Define edges and compile workflow...

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.