Get running in a few minutes
Install, run pl doctor, and investigate your first alert. Start with the
Quickstart.
PrismaLens is an open-source (Apache-2.0) command-line tool that investigates a firing alert the way an on-call engineer would: it reads your repo, queries your read-only telemetry, and hands back an ordered-evidence report — hypotheses ranked most to least plausible, each backed by evidence it actually gathered. It runs entirely on your machine. There’s no PrismaLens account and no subscription.
PrismaLens doesn’t ship a model. It rents a coding-agent harness — Claude Code today, with more on the way — to do the read-only legwork, and calls a model you configure to write the report. Both are BYO-key: you point it at whichever provider you already pay for (Anthropic, OpenAI, Groq, a local Ollama, any OpenAI-compatible endpoint), and PrismaLens reads the credential fresh from your environment on every run and stores nothing. See Bring your own agent & key.
You can — but you’d get a chat transcript, not an investigation. PrismaLens adds the structure that makes the output trustworthy at 3AM:
claude-code harness — optionally backed by an OS-level sandbox, and every
report records what boundary was actually applied, not just what you asked
for. See Sandboxing & permissions.pl listen and firing alerts investigate themselves while you
sleep — grouped, budget-capped, and delivered to Slack — with every run saved
to a local store you can query later.Get running in a few minutes
Install, run pl doctor, and investigate your first alert. Start with the
Quickstart.
Understand the model
How the two-tier engine works, what BYO-agent means, and why the report ranks evidence instead of scoring it. See Concepts.
Reach for a command
The full flag reference for every pl subcommand lives in the
CLI reference.
Know what leaves your machine
Local-first and BYO-key — here’s exactly what flows to your model provider, and what doesn’t. See Data & privacy.
PrismaLens is Apache-2.0 licensed — free to use, self-host, and modify.