Quickstart: add approvals to an AI agent in minutes
Create your first Contro1 request, route it to the right operator, and return a signed callback to your agent.
Docs hub
Add approvals and control to AI agents
Build production-ready approval flows with role routing, SLA escalation, signed callbacks, policy context, and audit evidence.
Core API
A Complete Guide to the API
A practical walkthrough of the Contro1 runtime API: which endpoint an agent calls, when to call it, what to send, and how approvals, audit records, traces, and evidence fit together.
API endpoint index
A compact map of the public Contro1 runtime API: request creation, Control Map preview, audit records, and thread timelines.
Agent identity, traceability & signed evidence
Give every agent a verified identity, scope its authority (least agency), reconstruct any run end-to-end (tools, sub-agents, retrieved context), and export HMAC-signed evidence.
Requests API reference for AI agent approvals
Learn how to create, inspect, and cancel Contro1 requests for approvals, clarifications, and escalations.
Audit records and cases for autonomous agent actions
Use Contro1 audit records to log actions that agents are authorized to run autonomously, and correlation_id to connect requests and logs into one case timeline.
Webhook callbacks for signed operator decisions
Validate signed Contro1 callbacks and safely resume AI workflows after approvals, rejections, expirations, or escalations.
Authentication and API key handling for Contro1
Secure your Contro1 integrations with environment-based API keys, role-aware routing, and clear ownership boundaries.
Framework guides
Contro1 Python SDK
Install and use the official Contro1 Python SDK to create approval requests, verify signed webhooks, log autonomous actions, and fetch audit evidence.
Contro1 JavaScript and TypeScript SDK
Install and use @contro1/sdk in Node, TypeScript, Express, Fastify, or Next.js backends to create approval requests, verify webhooks, and write audit records.
Microsoft Agent Governance Toolkit integration
Use Microsoft Agent Governance Toolkit for policy decisions and Contro1 for human approval routing, signed callbacks, and audit evidence.
Microsoft Teams Connector for Contro1: AI Agent Approvals and Governance Workflows
Connect Microsoft Teams to Contro1 and receive AI agent approval requests, escalation alerts, and governance workflows directly inside Teams.
How to add human approvals to LangGraph
Pause LangGraph execution at deterministic checkpoints, route review through CENTCOM, and resume with signed decisions.
How to add human approvals to OpenAI Agents SDK
Map OpenAI Agents SDK interruptions to Contro1 requests so humans can approve high-risk actions before execution continues.
How to add human approvals to CrewAI
Bridge CrewAI review events into Contro1 for routing, approvals, and auditability.
How to add human approvals to n8n
Use HTTP Request and Wait nodes in n8n to pause workflows, route approvals through Contro1, and branch on the result.
How to route Claude Code permission requests into Contro1
Use the PermissionRequest hook to send risky Claude Code actions into Contro1 before allowing write, edit, or shell execution.
How to add human approvals to Claude Managed Agents
Route Claude Managed Agents session actions into Contro1 with session correlation, idempotent approval requests, signed callbacks, and audit-ready logs.
How to add human approvals to Mastra agents and workflows
Add Contro1 approval gates to Mastra agents and workflows so risky tool calls, workflow steps, and production actions wait for signed human decisions.
How to add human approvals to Pydantic AI
Connect Pydantic AI deferred tools and approval-required tool calls to Contro1 decisions, signed callbacks, and audit evidence.
Foundation guides
Human Approval, Agent Ownership, and Audit Trails for AI Agents
Contro1 helps AI agents request human approval, follow organizational policies, track ownership, maintain agent inventory, and create audit-ready evidence before sensitive actions.
Free AI Inventory for Organizations
Map every AI tool, model, copilot, and agent in your organization. Assign owners, track risks, manage tasks, and keep a live AI inventory with Contro1.
What Is Agentic AI? Enterprise Definition, Examples, and Risks
A clear agentic AI definition for enterprise teams, with examples, risk patterns, and the governance controls needed when AI systems can take action.
Agentic AI in the Enterprise: Use Cases, Risks, and Governance
How enterprise teams can adopt agentic AI safely: use cases by department, governance requirements, approval workflows, observability, and runtime control.
Agent Operations Platform: The Missing Layer for Enterprise AI Agents
What an agent operations platform is, why enterprises need one, and how approvals, routing, escalation, audit, and signed callbacks turn AI agents into accountable operations.
AI Agent Operations: How to Run Agents in Production Without Losing Control
A practical guide to AI agent operations: ownership, policies, approval points, escalation paths, logging, metrics, and operating reviews.
AI Agent Control Tower: How Enterprises Control Autonomous Agents in Production
What an AI agent control tower is, what it must include, and how enterprises use it to control autonomous agents with approvals, escalation, audit, and real-time decisions.
Human-in-the-Loop AI Platform: What Enterprises Actually Need
A human-in-the-loop AI platform is more than an approve button. Learn the workflows, routing, escalation, audit, and callback patterns production agents need.