Developer Tools

Prompt Evaluation Suite

Test, score, and regression-check prompts and model changes before they reach production.

All products

Automated scoring and grading

Datasets built from real traffic

Regression gates in CI

Overview

The Prompt Evaluation Suite brings engineering discipline to prompt and model changes. Build datasets from real traffic, score outputs with rubrics and model graders, and gate deploys on regressions — so a prompt tweak or model swap never quietly degrades quality.

How it works

Build evaluation datasets from real production traffic, score outputs against rubrics or model-based graders, and wire the results into CI as a regression gate. A prompt or model change that fails the gate never reaches production.

What's included

Dataset creation tooling, rubric and model-grader scoring, CI integration for regression gates, and historical trend reporting across every prompt and model version you've shipped.

See it in action

Book a walkthrough and we'll show it running against a stack like yours.

All products

AI Context Platform

A managed context layer that assembles, ranks, and serves the right knowledge to your models on every request.

AI Model Aggregator

One API in front of every major model provider, with routing, fallbacks, and unified billing — an OpenRouter you can run yourself.

Agent Orchestration Runtime

A runtime for multi-step agents — tool calls, state, retries, and human-in-the-loop — running reliably in production.

Vector Memory Store

A managed vector database tuned for retrieval workloads — fast, filtered, and horizontally scalable.

Enterprise RAG Gateway

A hardened gateway that adds retrieval, guardrails, and audit logging in front of any model endpoint.