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Define LangGraph State Workflow

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

Linked challenge: Scalable Industry 4.0 Predictive Maintenance System with LangChain

Format
Code-aware
Lines
10
Sections
3
Linked challenge
Scalable Industry 4.0 Predictive Maintenance System with LangChain

Prompt source

Original prompt text with formatting preserved for inspection.

10 lines
3 sections
No variables
0 checklist items
from typing import TypedDict, Annotated
from langgraph.graph import StateGraph, END
from langchain_core.tools import tool

class PdmState(TypedDict):
    plant_id: str
    vibration_data: dict
    health_status: str
    rul_days: int
    trigger_wo: bool

# Create workflow graph nodes for ISO evaluation and CMMS dispatch

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.