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Harness

Definition
AI-generated

A harness is the scaffolding around a language model or agent run—fixed prompts or tasks, datasets or fixtures, tool mocks or live APIs, checks, metrics, and logging—so behavior can be run, compared, and regression-tested in a repeatable way.

Topics
LLM and Agents
Synonyms
Evaluation harness (when used for benchmarking) Agent harness
Plural
Harnesses
Related
AI agent Genome-Wide Association Study (GWAS) Harness Engineering

Why it matters in GWAS

Before relying on LLM outputs for curation or QC messaging, a harness can regression-test prompts on fixed variant examples and summary-statistics snippets so upgrades to models or tools do not silently break allele alignment or column naming.

Example usage

"The harness failed when we switched tokenizer settings—output length exceeded the JSON schema the pipeline parser expected."

AI agent Genome-Wide Association Study (GWAS) Harness Engineering Large Language Model (LLM) Prompt Token
Related-term network

Click any node to open that term page.

Node order. The current term is first. Next come every page linked from Related terms, in the same top-to-bottom order as that list. Then new terms appear in two-hop layers: for each of those direct neighbors (in that same order), their related terms are appended if not already listed. A third pass does the same for two-hop nodes. The walk stops when a fixed maximum number of nodes is reached.

References

  • Liang P, et al. (2023). Holistic evaluation of language models (HELM). Trans Mach Learn Res.
← Hardy-Weinberg Equilibrium (HWE) Harness Engineering →

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