ScriptsMay 12, 2026·2 min read

Judgeval — Tracing + Evaluation for Agent Apps

Judgeval adds tracing and evaluation to agent apps, helping teams score behavior and monitor live traffic with a small SDK and dashboard workflow.

Intro

Judgeval adds tracing and evaluation to agent apps, helping teams score behavior and monitor live traffic with a small SDK and dashboard workflow.

  • Best for: teams shipping agent backends who need tracing + scoring to catch regressions
  • Works with: Python agent services, common model SDKs, and production traffic you want to monitor
  • Setup time: 20–45 minutes

Practical Notes

  • Quant: start with 3–5 golden prompts and record a baseline score per release.
  • Quant: monitor eval latency and cost; cap evaluations per request in production.

Pattern: separate tracing from judging

Treat tracing as the source of truth (what happened), and judging as an asynchronous step (how good it was).

A practical rollout:

  • Trace everything in staging.
  • Pick 3 high-risk paths (tool call safety, RAG correctness, refusal behavior).
  • Add a small set of evals and expand only when signal is stable.

Operational note

Store keys securely and avoid placing sensitive payloads into traces. Redaction/scrubbing should be part of the initial setup.

FAQ

Q: Do I need an account? A: The README references API keys and a dashboard; plan on setting up an account for full functionality.

Q: What should I evaluate first? A: Tool-call safety, correctness of retrieved facts, and refusal/guardrail compliance.

Q: How do I keep costs under control? A: Sample traffic, cap evaluations per request, and run heavier suites in CI/staging.

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Source & Thanks

Source: https://github.com/JudgmentLabs/judgeval > License: Apache-2.0 > GitHub stars: 1,031 · forks: 93

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