The safety layer between AI agents and the real world. Rollback, cost control, circuit breakers, compliance, and distributed tracing — in one library.
pip install warderbox
Built-in rules engine auto-classifies actions as LOW/MEDIUM/HIGH/CRITICAL. Destructive SQL, bulk operations, and file deletions are caught before execution.
Per-action cost tracking, budget limits, burn-rate analysis, and exhaustion prediction. Know exactly when your budget will run out.
Deep-copy state snapshots let you undo any action with a single call. Auto-snapshot on every tool execution.
Auto-disable tools that fail repeatedly. CLOSED/OPEN/HALF_OPEN states with configurable thresholds and recovery probes.
Approval workflows with configurable timeout, auto-deny, callback-based approval, and escalation chains for high-risk actions.
Fine-grained allowlist/denylist per agent. Argument constraints, cost limits, and time-based access schedules.
OpenTelemetry-compatible spans for every action. Nested spans, JSON/OTLP export, trace grouping.
Fault injection (errors, latency, timeouts, corruption) with probability control, conditional triggers, and wildcard rules.
Safety/reliability/efficiency/risk scoring (0-100) with A-F grades. Multi-agent pool rankings and leaderboards.
SOC2/GDPR-ready audit reports from SQLite logs. Anomaly detection, risk breakdown, JSON/HTML export.
Sliding-window counters: global RPM/RPH and per-tool limits. Auto-prune for memory efficiency.
OpenAI, Anthropic Claude, LangChain, CrewAI, Microsoft AutoGen. Zero import overhead — frameworks are optional.
| Feature | WarderBox | Guardrails AI | LangChain | DIY |
|---|---|---|---|---|
| Risk Classification | Built-in | Validators | No | Manual |
| Budget Control | Built-in | No | No | Manual |
| Circuit Breaker | Built-in | No | No | Manual |
| Rollback | Built-in | No | No | Manual |
| Approval Workflows | Built-in | No | No | Manual |
| Distributed Tracing | OTel-compat | No | Callbacks | Manual |
| Chaos Testing | Built-in | No | No | No |
| Compliance Reports | Built-in | No | No | Manual |
| Agent Scoring | Built-in | No | No | No |
| Multi-Agent Support | AgentPool | No | Limited | Manual |
| Framework Agnostic | 5 frameworks | LLM-focused | LangChain only | Yes |
| Zero Dependencies | Yes | Many | Many | Yes |
The AI agent safety market is projected to grow from $610M to $6.85B by 2030 (41% CAGR). With Guardrails AI acquired by Harvey in September 2026, WarderBox fills the market gap.
Projected AI agent safety market by 2030, growing at 41% CAGR from $610M in 2024.
After Guardrails AI's acquisition, no independent, framework-agnostic agent safety platform exists.
Compliance reports, approval workflows, distributed tracing, and agent scoring built for enterprise adoption.
Add safety to your AI agents in under 5 minutes.