Razi — The notary for AI decisions
Description: Razi is a deterministic governance harness for AI workflows. Policy-enforced, evidence-traced, replayable offline.

Open Source · Apache 2.0 · v1.0.0

# The notary
for AI decisions.

Razi wraps AI reasoning inside a constraint-governed runtime that enforces policy rules, traces every claim to evidence, and produces deterministic audit artifacts — replayable offline, six months later.

⚖️
Policy, not prompts
Rules are compiled into the runtime and enforced after the model responds. policy_compliant is always set by the harness — never trusted from the model.
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Evidence-traced decisions
Every claim is grounded in a deterministic evidence index built from your input. Hallucinated evidence IDs are caught structurally, not by hoping the model doesn't lie.
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Replay-proof audit trail
Every run produces an immutable artifact set. Re-evaluate schema, evidence, and policy offline with razi replay <run_id> — no model call required.
View on GitHub
Watch the demo
install
$ pip install razi
click to copy
Interactive walkthrough

## See it govern
in real time.

scroll through the workflow