The safety & FinOps layer between AI agents and the real world. Self-improving cost prediction, execution timeout, idempotency, output validation, fallback routing, quotas, smart model routing, anomaly detection — 42 modules 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.
Automatically classifies task complexity and routes to the cheapest capable model. 60-90% cost savings without sacrificing quality.
Z-score based spending spike detection, infinite loop detection, rate spike monitoring, and burn rate alerts with real-time callbacks.
Real-time 4-tab web UI: Overview, FinOps (cost breakdown), Routing (model stats), and Alerts (anomaly monitoring).
Hard deadline enforcement for tool calls. Per-tool timeout overrides. Kills hanging calls before they burn budget silently.
Prevents duplicate execution on retry. Content-hash or client-supplied keys, TTL expiry, pluggable backends (in-memory or Redis). Works across distributed processes.
Validates, redacts, or blocks tool outputs before they reach the agent. Built-in PII detection. Custom pattern rules.
When a tool is circuit-broken, auto-routes to a cheaper/safer alternative. Configurable conditions and max-fallback limits.
Daily, weekly, and monthly call limits per tool or globally. Long-term caps that complement sliding-window rate limiting.
Know the cost BEFORE you run. Best/expected/worst case predictions with confidence scores. Self-improving — gets smarter the more your agents run.
Every tool call carries a reversible flag. Auto-inferred from snapshot functions or set explicitly. Your agent knows what can be undone before acting.
| 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 |
| Smart Model Routing | Built-in | No | No | Manual |
| Cost Anomaly Detection | Built-in | No | No | No |
| FinOps Dashboard | 4-tab UI | No | No | No |
| Execution Timeout | Built-in | No | No | Manual |
| Idempotency Guard | Built-in | No | No | No |
| Output Validation | Built-in | Validators | No | Manual |
| Fallback Routing | Built-in | No | No | Manual |
| Execution Quotas | Built-in | No | No | Manual |
| Framework Agnostic | 5 frameworks | LLM-focused | LangChain only | Yes |
| Zero Dependencies | Yes | Many | Many | Yes |
WarderBox doesn't replace LangChain or Guardrails AI — it fills the gap neither covers. They work together.
Runs the agent
Chains, RAG, memory, tool calling, agent orchestration. Decides what to do.
Validates LLM text
JSON schema, hallucination checks, format validation. Controls what the LLM says.
Controls tool execution
Budget, rollback, timeout, circuit breaker, idempotency, quotas. Controls what the agent does.
Use LangChain to build your agent → WarderBox to keep it safe → Guardrails to validate its text. All three via shield_langchain_tools()
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.