Semantic Evaluation System

A shared system for observability, expert review, automated quality gating, and iterative improvement of LLM-powered applications.

The Problem

The semantic evaluation system answers questions for any team building an LLM-powered application

How do you know your agent is working as intended, not just in a demo, but across hundreds of real cases, after every change?

How do you improve your results in a systematic way, with the smallest effort possible for engineers, product owners, and domain experts to collaborate?

How does your engineering team start fast, with quality monitoring and reporting in place from day one?

Get Started

I am a...

Engineer

Trace workflows, run offline evaluations, wire up CI gates.

Get started →

Product owner

Read eval reports, interpret judge scores, track data quality.

Get started →

Domain expert / SME

Review and correct traced outputs in the annotation queue.

Get started →

Dive Deep

Overview →

The 4-pillar story and how the pieces connect.

Packages →

The two shared Python SDKs: semantic-tracing, semantic-evaluation.

Services →

The two shared backend services: scoring, review-sync.

Workshop →

The current hands-on tutorial (engineer-focused; not yet split by role).