Documentation Index
Fetch the complete documentation index at: https://docs.befailproof.ai/llms.txt
Use this file to discover all available pages before exploring further.
Hooks and policies for AI failure handling, error recovery, and LLM reliability. Keep your AI agents reliable and running autonomously across Claude Code, OpenAI Codex, GitHub Copilot, Cursor Agent, OpenCode, Pi, Gemini CLI, and the Agents SDK.
AI agents fail in predictable ways. They run destructive commands, leak secrets, drift off-task, get stuck in loops, or push directly to main. Left unattended, small failures cascade into outages, leaked credentials, and lost work.
FailproofAI solves this with policies. These rules hook into every agent tool call to detect failures, mitigate them (block, instruct, sanitize), and alert you when something needs attention. A local dashboard lets you review every tool call, agent failure, and recovery action afterward.
No data leaves your machine.
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39 built-in policies
Block destructive commands, prevent secret leakage, keep agents inside project boundaries, and more. All out of the box.
Custom policies
Write your own rules in JavaScript with a simple allow / deny / instruct API.
Agent monitor
See what your agents did while you were away. Browse sessions, inspect tool calls, review where policies fired.
Easy configuration
Tune any policy without code. Set allowlists, protected branches, or thresholds per-project or globally.