LLM Evaluation
Ship LLM changes with confidence.
Guardra's evaluation suite regression-tests your LLM app on reliability, safety, and cost — every commit, every model upgrade, every RAG index swap. No more shipping to prod and praying.
Faithfulness
Does the answer match the retrieved context?
Hallucination rate
How often does the agent invent APIs, names, or facts?
Toxicity / bias
Policy-aligned content safety scoring per turn.
Injection resilience
Pass rate against 8,400+ curated attack prompts.
Tool-call correctness
Did the agent pick the right tool with the right args?
Cost per turn
Token spend, model routing efficiency, waste detection.
Latency p50 / p95 / p99
Tail-latency analysis with span-level attribution.
Answer completeness
Does the response actually satisfy the user intent?
CI-native eval pipeline
Guardra runs your eval suite on every PR. You see score deltas per metric, per test case, per model version — right next to your build logs. If scores regress past threshold, the merge is blocked.
# .github/workflows/eval.yml
- uses: guardra/eval-action@v2
with:
suite: support-bot
threshold: 0.92
block-on-regression: true