Glossary

Harness engineering

Glossary

What is harness engineering?

Harness engineering (or agent harness engineering) is the discipline of designing, measuring, and improving everything around the model in an AI agent so the agent is reliable in production.

The industry consensus is that reliability lives in the harness, not only in the model. Teams run agents on real tasks, observe failures in traces, classify them, fix prompts, tools, rules, or guardrails, and verify the fix with regression evals.

The core loop is run → observe → evaluate → fix the harness → verify. Every repeated agent failure becomes a harness defect to ratchet closed.

OpenLIT is an open-source agent harness engineering platform for that loop: agent observability and OpenTelemetry tracing, agent evals, guardrails, prompt management, and cost and GPU monitoring.

FAQ

What is harness engineering?

Harness engineering is designing, measuring, and improving the tools, context, prompts, memory, hooks, guardrails, and feedback loops around a model so agents work reliably in production.

Is OpenLIT a harness runtime?

No. OpenLIT does not run your agent loop. It instruments and improves whatever harness you already use through OpenTelemetry.

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