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Modal App Definition and Model Deployment
Inspect the original prompt language first, then copy or adapt it once you know how it fits your workflow.
Linked challenge: Build an Automated Information Integrity Audit Pipeline with LangChain and Modal
Format
Code-aware
Lines
4
Sections
1
Linked challenge
Build an Automated Information Integrity Audit Pipeline with LangChain and Modal
Prompt source
Original prompt text with formatting preserved for inspection.
4 lines
1 sections
No variables
0 checklist items
import modal
app = modal.App('media-integrity-auditor')
# Define Modal GPU container image with LangChain and detection dependencies
@app.function(gpu='A10G')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.