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@kaicmo/gate

v0.1.1

Published

Zehrava Gate SDK — safe commit layer for AI agents

Readme

@kaicmo/gate

The commit checkpoint between AI agents and production systems.

Every agent write goes through the same path: propose → policy → approve → deliver → audit. No direct commits. No silent writes.

zehrava.com · GitHub

Install

npm install @kaicmo/gate

Quickstart

Run the Gate server locally:

npx zehrava-gate --port 4000

Use the SDK:

const { Gate } = require('@kaicmo/gate')

const gate = new Gate({
  endpoint: 'http://localhost:4000',
  apiKey: 'YOUR_KEY'   // from POST /v1/register
})

// Propose an action — Gate evaluates policy before anything writes
const p = await gate.propose({
  payload:     './leads.csv',
  destination: 'salesforce.import',
  policy:      'crm-low-risk',
  recordCount: 847
})

console.log(p.status)
// "pending_approval" — 847 > 100 threshold
// "approved"         — auto-approved by policy
// "blocked"          — destination not in allowlist

// Deliver exactly once (after approval)
await gate.deliver({ proposalId: p.proposalId })
// Second call returns 409 — one-time delivery enforced

API

gate.propose({ payload, destination, policy, recordCount, metadata })
gate.approve({ proposalId })
gate.reject({ proposalId, reason })
gate.deliver({ proposalId })
gate.verify({ proposalId })

What Gate governs

Gate does not validate business logic. It answers four questions before any write reaches production:

  1. Who sent this? — verified agent identity
  2. Where is it going? — destination allowlists
  3. Should it be allowed? — shared policy rules (YAML)
  4. Who approved it? — centralized approval queue + audit trail

Policy example

id: crm-low-risk
destinations: [salesforce.import, hubspot.contacts]
auto_approve_under: 100
require_approval_over: 100
expiry_minutes: 60
delivery: one_time

Policies are shared YAML files. Same rules across every agent, every framework.

Why not just use LangSmith / Guardrails / AgentOps?

Those tools are observability and content safety — they tell you what happened or validate LLM outputs. Gate governs the write path: whether an agent output is allowed to become a production write, and who approved it.

Self-hosting

Gate is MIT licensed and self-hostable. Run it on your own infrastructure:

git clone https://github.com/cgallic/zehrava-gate
cd zehrava-gate/packages/gate-server
npm install
npm start

Links