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BentoML Service Wrapper

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

Linked challenge: Researcher-Critique Loop with LangGraph, GPT-5.4 Pro, and BentoML

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Linked challenge
Researcher-Critique Loop with LangGraph, GPT-5.4 Pro, and BentoML

Prompt source

Original prompt text with formatting preserved for inspection.

1 lines
1 sections
No variables
0 checklist items
Write a BentoML service script that wraps the LangGraph executable. Configure it to handle incoming research requests and return the final converged report. Ensure the GPT-5.4 Pro and Claude Sonnet 4.6.6 clients are initialized as BentoML Runners.

Adaptation plan

Keep the source stable, then change the prompt in a predictable order so the next run is easier to evaluate.

Keep stable

Preserve the source structure until you know which part of the prompt is actually driving the result quality.

Tune next

Change domain facts, examples, and tool context first before you rewrite the instruction scaffold.

Verify after

Validate one failure mode at a time so prompt changes stay attributable instead of getting noisy.