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Use cases

Built for teams that ship AI to production.

From solo developers to engineering teams managing hundreds of prompts — PromptMetrics scales from a $5 VPS to a multi-node cluster.

Engineering

Version prompts like code

Track every prompt change as a Git tag. Roll back production in seconds when a new version degrades quality.

28 endpointsGit-backedImmutable
$ git log --oneline --decorate
7a3fe2c (tag: prompts/welcome/1.5.0) feat: tone
91f2bb3 (tag: prompts/welcome/1.4.2) fix: typo
3c2ad81 (tag: prompts/welcome/1.4.1) chore: bump
Telemetry

Trace agent loops without an APM

Ingest OTLP traces from any agent framework. Drill from high-level workflow runs down to individual LLM calls.

OTLP-nativeTrace + spansZero config
agent-loop
llm-call
tool: refund
eval
Quality

Score prompts. Track quality over time.

Define evaluation criteria, submit scores tied to workflow runs, and query historical quality trends.

Criteria JSONRun-linkedCascading deletes
{
  "name": "accuracy-check",
  "criteria": { "min_score": 0.8 },
  "score": 0.94
}

Deploy anywhere

Local dev
npm install -g promptmetrics

For development and offline work.

Docker
docker compose up --build

Repeatable, reviewer-ready.

Production
docker run + Caddy/TLS

Multi-node ready via Postgres.

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Real testimonials coming soon. Reach out via GitHub Discussions if you've shipped with PromptMetrics.

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