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Test, validate and monitor agentic AI — DoE suites, validation reports, and real-time runtime gates. GMS-optional.

Project description

Beyond Ship and Pray

Testing and validating agentic AI systems.

Most teams ship an agent and pray it behaves in production. This is the open alternative — a discipline for proving it first and watching it after. Before deployment: design-of-experiments test suites, fault injection, trajectory scoring, groundedness/hallucination checks, and a validation report you can hand to a reviewer. At runtime: gates that detect and stop out-of-scope, risky, or policy-violating actions before they execute (ALLOW / DENY / ESCALATE), with a tamper-evident, hash-chained audit trail.

The baseline runs with no license and no GMS. For production-grade detection — geometric hallucination judging, calibrated admissibility, signed verdicts — the optional GMS backend (knowlytix) snaps in via a lazy seam. Clone it, run the baseline, see exactly where GMS lifts detection and validation.

Part of the "Beyond … and Pray" series: governed agents · trustworthy RAG · test & validate · LLMs from scratch

What's inside

  • Validation reports — DoE test design, fault injection, coverage, trajectory scoring
  • Runtime monitoringALLOW / DENY / ESCALATE gates that stop bad actions live
  • Hallucination & groundedness checks — catch unsupported claims pre- and post-deploy
  • Tamper-evident audit — hash-chained record of every decision and stop
  • Two runnable demos — validation-report generator + live monitoring view
  • GMS-optional — baseline runs free; geometric judging & calibration via knowlytix

Install

pip install proofloop                 # testing + validation + runtime monitoring
pip install "proofloop[ml]"           # + open-weight model tools
pip install "proofloop[gms]"          # + the licensed GMS backend (knowlytix)

proofloop builds on glassloop (the governed agent loop) and adds the testing, validation, and monitoring layer.

The GMS upgrade (open-core)

proofloop runs fully without a license. GMS-backed detection — geometric hallucination judging, factor attribution, signed verdicts — requires the licensed knowlytix package, imported lazily:

import glassloop.gms as gms
gms.available()   # True if the licensed backend is installed

The production-grade, GMS-native edition is the Beyond Ship and Pray, Pro Edition — see knowlytix.ai.

License

Apache-2.0. © 2026 Knowlytix.

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