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AI Native › AI Agent › Evaluation › Opik

CRASH COURSE · AI-NATIVE · beginner · 9 min read · v0.5

Opik.

evaluationai-nativeopikobservability

TL;DR — Opik combines tracing and evaluation so you can inspect real runs and grade output quality with datasets and judges.

What it is

Opik is an open-source LLM observability and eval platform from Comet. It stores traces, prompts, outputs, and benchmark runs.

Why it exists

You need both runtime visibility and quality scoring. Opik closes the loop between production traces and evaluation pipelines.

Install

pip install opik

Basic usage

from opik import Opik
# log traces and prompts
# run evaluations on collected datasets

When to use, when to skip

Use it when this category is a bottleneck in your agent stack and you want faster delivery with fewer custom components.

Skip it when your workload is tiny, requirements are fixed, or a plain provider SDK plus a few local functions is enough.

Alternatives

Compare with adjacent tools in the same AI Native category and choose based on interface style, deployment model (hosted vs self-hosted), and team familiarity.

Verified against project documentation, June 2026.

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