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Agent Scaffold Initialization

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

Linked challenge: Waste-to-Energy Operational Dispatch Optimizer using LangChain and Ludwig

Format
Code-aware
Lines
4
Sections
1
Linked challenge
Waste-to-Energy Operational Dispatch Optimizer using LangChain and Ludwig

Prompt source

Original prompt text with formatting preserved for inspection.

4 lines
1 sections
No variables
0 checklist items
import langchain
from langchain_core.prompts import ChatPromptTemplate
from ludwig.api import LudwigModel
# Initialize LangChain agent with Ludwig model tool for waste-to-energy dispatch optimization

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.