Local safety and observability proxy

Control what AI agents can execute—and understand everything they do.

ModelWarden sits between your agent and its model provider. It inspects tool calls, blocks dangerous actions, routes providers, and preserves the evidence you need to investigate an incident.

3-stage safety pipeline 6+ provider formats Local-first operations
MW / live decision proxy healthy
tool request shell("rm -rf ~/.ssh")
01Normalizecommand revealed
02Heuristicscritical match
03Arbitratehard block wins
DENY

Protected path destruction blocked before execution.

Audit event chained · secrets redacted · 14 ms
OpenAI Chat & Responses HTTP/SSE Anthropic Messages Gemini Bedrock Ollama MCP

One control plane for agent operations

Safety is the first decision. Evidence is what makes it operational.

ModelWarden combines enforcement and investigation in one local proxy instead of splitting them across agent plugins and external telemetry services.

Prevent

Stop unsafe actions at the boundary

Normalize commands, apply deterministic rules, escalate ambiguity to a judge, and arbitrate before a tool call is released.

Observe

See the full operating picture

Track live audit events, provider health, errors, latency, cost, and alerts from the proxy that handled the request.

Investigate

Reconstruct what actually happened

Follow traces and replay sessions across requests, safety stages, provider calls, and final decisions.

Operate

Run local, team, or fleet deployments

Use provider failover, remote wrappers, uptime and cron monitoring, SCM links, and issue workflows as deployments grow.

Product proof

The decision and the evidence live together.

The dashboard is not a decorative reporting layer. It reads the same proxy decisions and audit events that enforced the request, then connects them to provider and runtime context.

  • Live allow, ask, and deny decisions
  • Stage-by-stage safety evidence
  • Provider health, routing, and failures
  • Tracing, replay, alerts, and operational monitors
See the complete feature map
Sanitized ModelWarden operations dashboard showing safety decisions, provider health, and incident evidence

How it works

Drop the proxy into the request path.

01 Route agent traffic

Point an OpenAI-compatible or supported provider client at the local ModelWarden endpoint.

02 Inspect and decide

Text continues streaming while tool calls are normalized, classified, judged when needed, and arbitrated.

03 Enforce and record

Safe calls continue. Dangerous calls stop. Every result becomes searchable, tamper-evident operational evidence.

For developers

Protect a local agent in minutes.

Start with heuristics, a BYO judge, provider protocol support, the local dashboard, error monitoring, and a live audit stream.

Read the quickstart

For enterprise operations

Turn agent safety into an operating system.

Add fleet-level visibility, remote wrappers, anomaly detection, uptime and cron monitoring, release health, and managed providers when required.

Compare Enterprise profiles

Start at the execution boundary

Know what your agents are about to do—and what they already did.