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LangChain Agent Design & Pipeline Setup
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Linked challenge: LangChain & Dagster Structural Office Conversion Analyzer
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Code-aware
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Linked challenge
LangChain & Dagster Structural Office Conversion Analyzer
Prompt source
Original prompt text with formatting preserved for inspection.
1 lines
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Using LangChain and Dagster, write a Python asset definition that initializes a LangChain agent using `from langchain.agents import AgentExecutor, create_openai_tools_agent`. The agent must ingest a CAD floorplate summary and calculate core-to-window ratios.
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.