controlzero

AI agent governance for Node.js. Policies, audit, and observability for tool calls. Works locally with no signup.

Hello World

import { Client } from '@controlzero/core';

const cz = new Client({
  policy: {
    rules: [
      { deny: 'delete_*', reason: 'Hello World: deletes are blocked' },
      { allow: '*', reason: 'Hello World: everything else is fine' },
    ],
  },
});

console.log(cz.guard('delete_file', { args: { path: '/tmp/foo' } }).decision); // "deny"
console.log(cz.guard('read_file', { args: { path: '/tmp/foo' } }).decision); // "allow"

12 lines. No API key. No signup. Run it.

Install

npm install @controlzero/core
# or
pnpm add @controlzero/core
# or
yarn add @controlzero/core

Why

Your AI agents call tools. Some of those tools should never be called by an agent without a human in the loop. controlzero is the policy layer between the model's output and the tool execution. Decisions are fail-closed by default.

You can use it offline with a local YAML file or JS object. When you want to share policies across a team or get a hosted audit dashboard, sign up at controlzero.ai and set CONTROLZERO_API_KEY.

Quickstart with the CLI

# Use npx if you do not want a global install
npx -y @controlzero/core init

# Or after installing globally:
npm install -g @controlzero/core
controlzero init
controlzero validate
controlzero test delete_file

The generated controlzero.yaml is the tutorial. It ships with annotated rules covering allow lists, deny lists, wildcards, and the catch-all.

Templates available:

• controlzero init — Hello World template (default)
• controlzero init -t rag — RAG agent template (block exfiltration)
• controlzero init -t mcp — MCP server template
• controlzero init -t cost-cap — model allow-listing and cost guards

Loading a policy

Three ways:

import { Client } from '@controlzero/core';

// From a JavaScript object
const cz1 = new Client({
  policy: {
    rules: [{ deny: 'delete_*' }, { allow: 'read_*' }],
  },
});

// From a YAML file
const cz2 = new Client({ policyFile: './controlzero.yaml' });

// From an environment variable
// (set CONTROLZERO_POLICY_FILE=./controlzero.yaml)
const cz3 = new Client();

If ./controlzero.yaml exists in the current directory, it is picked up automatically. No env var needed.

Policy schema

version: '1'
rules:
  - deny: 'delete_*'
    reason: 'Deletes need human approval'
  - allow: 'search'
  - allow: 'read_*'
  - allow: 'github:list_*'
  - deny: 'github:delete_repo'
  - deny: '*'
    reason: 'Default deny'

Rules are evaluated top to bottom. The first match wins. If no rule matches, the call is denied (fail-closed).

Local audit log

When running without an API key, every decision is written to ./controlzero.log with daily rotation. Configure via the client:

const cz = new Client({
  policyFile: './controlzero.yaml',
  logPath: './logs/controlzero.log',
  logRotation: '10 MB',
  logRetention: '30 days',
  logFormat: 'json', // or 'pretty'
});

When CONTROLZERO_API_KEY is set, audit ships to the remote dashboard and these log* options are ignored with a warning.

Hybrid mode

If you set both an API key AND pass a local policy, the local policy overrides the dashboard policy and you get a loud WARN log on init:

WARNING: controlzero: manual policy override detected. ...

For prod environments, opt into strict mode to throw instead:

const cz = new Client({
  apiKey: 'cz_live_...',
  policy: localPolicy,
  strictHosted: true,
});
// throws HybridModeError

Hosted mode

Hosted mode (dashboard policies + remote audit) is not yet implemented in this slim package. To use hosted mode today, install the legacy package:

npm install @controlzero/sdk

For local-first use cases, this controlzero package is what you want.

Coding agent hooks (one command)

Install controlzero as a pre-tool-use hook in your AI coding CLI. Every tool call gets evaluated against your policy before it runs. Audit log lives at ~/.controlzero/audit.log.

# Claude Code
npx -y @controlzero/core install claude-code

# Gemini CLI
npx -y @controlzero/core install gemini

# Codex CLI (Bash-only coverage today; pair with Gateway for full enforcement)
npx -y @controlzero/core install codex

All three write the same global policy at ~/.controlzero/policy.yaml and patch the agent's settings file in place. Run again to update; idempotent.

The Codex coverage gap is upstream (OpenAI's hook system is gated behind a feature flag and only fires for Bash today). Use the Control Zero Gateway as the authoritative gate for non-Bash actions.

Framework examples

Full integration guides at docs.controlzero.ai/sdk/integrations:

• LangChain.js
• LangGraph.js
• OpenAI Agents SDK
• Anthropic tool use
• Vercel AI SDK
• MCP servers
• Raw HTTP / no framework

License

Apache 2.0