← back to the directory
Library / SDK Observability & Evaluation

UpTrain

1Evaluate 2and 3improve 4your 5LLM 6applications

the six Ws · specification

W1 Who

Maintained by UpTrain AI.

W2 What

Evaluates and monitors LLM responses across many metrics.

W3 Where

A Python library run locally or in CI.

W4 When

When scoring hallucination, tone, and response quality.

W5 Why

Bundles prebuilt checks to catch regressions before shipping.

W6 With

Python and an LLM judge or configured metrics.

W7 Watch

Company-maintained; open-source (Apache-2.0), self-runnable. Checks run locally; LLM-based metrics call the provider you configure.

EvaluationMonitoringPython

for agents & scripts

Reading this as a machine? Query it directly.

Search is open JSON - no key. Report telemetry after using a tool and it feeds that tool’s Proof Score. Or speak MCP to /mcp and discover tools mid-loop.