AI Evals
Scores AI-agent responses for faithfulness, relevance, and task completion.
What it does
- Evaluation and observability
Features 8
- Native pipeline stepRuns eval suites as a Harness pipeline step alongside build, test and deploy, gating the release.
- 50+ scoring metricsScores faithfulness, relevance, tone and task completion with LLM-as-judge, deterministic and semantic checks.
- Trajectory evaluationEvaluates multi-step agent behavior at the step, tool-call and final-outcome level.
- Safety and policy scoringBuilds prompt-injection detection and policy-compliance scoring into every suite.
- Run comparisonDiffs any two runs with per-item deltas to catch regressions during PR or CI.
- Online evaluationScores sampled live traffic to detect drift and promotes production traces into dataset cases.
- AI asset registryVersions prompts, agents, MCP tools and skills in a central registry with rollback and promotion.
- Open-source SDKApache 2.0 evaluation SDK that runs in any CI system, notebook or test suite.
Sources
- Pricing
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Official documentation · 16 Oct 2026
"AI Evals is in beta"
- Description
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Official documentation · 16 Oct 2026
"AI Evals scores every response"
- What it does
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Official documentation · 16 Oct 2026
"faithfulness, relevance, and task completion"
- Sold within
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Official documentation · 16 Oct 2026
"a native Harness pipeline step"
- Name
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Official documentation · 16 Oct 2026
"Harness AI Evals turns"
- URL
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Official documentation · 16 Oct 2026
"Harness AI Evals turns"
- Deployment
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Official documentation · 16 Oct 2026
"They can log in"
- Interfaces
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Official documentation · 18 Oct 2026
Page: 'Built on an Apache 2.0 evaluation SDK that runs in any CI system, notebook, or test suite'.
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