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deployment

BentoML Cloud Deployment Plan

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

Linked challenge: Real-time Social Listening Assistant

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Linked challenge
Real-time Social Listening Assistant

Prompt source

Original prompt text with formatting preserved for inspection.

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Describe the steps you would take to deploy your Hunyuan-powered LLM service and the MemGPT-integrated backend logic to BentoML Cloud. Detail the `Bento` configuration, API endpoint definition, and scaling considerations for handling real-time requests.

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.