9 docs tagged with "Human-in-the-Loop"

Build adaptive trust for AI agents: Automatically adjust policies and permissions based on behavior patterns and changing risk levels.

Require human approval for risky AI actions: Build 3-step workflows with automated escalation, Slack notifications, and audit trails.

How OpenBox verdicts, approvals, and guardrails are enforced at runtime in DeepAgents.

How OpenBox verdicts, approvals, and guardrails are enforced at runtime in LangChain.

How OpenBox verdicts, approvals, and guardrails are enforced at runtime in LangGraph.

How OpenBox verdicts, approvals, and guardrails are enforced at runtime in Mastra.

How OpenBox verdicts, approvals, and guardrails are enforced at runtime in the n8n node.

Define allowed AI agent behaviors: Specify permitted actions, data access patterns, API calls, and interaction boundaries per agent.

See how governance decisions happen in real-time: Policy checks, risk assessment, and automated enforcement before agent execution.