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Eval Run #214
Livegpt-4o · production · 2 min ago
Trusted by teams building with AI
Features
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AI you can trust.
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How it works
From system to scored
report in three steps.
Connect your system
Point PeakEval at your LLM, agent, or pipeline using our SDK or REST API. Integrate in minutes — no infrastructure changes needed.
peakeval connect \
--endpoint $MODEL_URL \
--api-key $PEAKEVAL_KEYDefine your evals
Choose from 100+ pre-built eval templates or write your own. Define scoring rubrics, thresholds, and custom metrics that match your use case.
eval:
name: "Customer support QA"
metrics: [accuracy, tone, safety]
threshold: 0.90
dataset: ./evals/support.jsonlGet scored reports
Receive structured, scored reports after every run. Compare across runs, models, and prompts — with drill-down views on every failing case.
✓ Run #214 complete
Overall score: 88.9 / 100
Passed: 5/6 metrics
⚠ Flagged: context_recall (61)
→ View full reportPeakEval by the numbers
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