AgentQ
AI Agent Observability, Safety, & Guardrail Control Plane
AI agents in production have no safety net
Prompt injections, data exfiltration, goal drift, and scope creep all reach your users before you know they happened. Standard logging captures what agents did not whether it was safe.
Guardrail Rules
Across 5 threat classes, evaluated on every span
SDK Changes Required
Drop-in OTel/MCP receiver — just point your endpoint
Threat Classes
Injection, scope, exfiltration, behavioral, integrity
Real-time observability for agent spans
21 Guardrail Rules
Injection, scope creep, data exfiltration, behavioral anomalies, and integrity violations detected in real time on every ingested span.
Drop-in OTel Receiver
Set OTEL_EXPORTER_OTLP_ENDPOINT to point at AgentQ; MCP spans normalized automatically, no SDK changes required.
Tool Execution Interceptor
POST /api/intercept before any tool fires; surface violations before side effects occur.
Behavior Clustering
Composite embeddings (structural + semantic, all-MiniLM-L6-v2); LLM rubrics auto-generated at 10 traces per cluster.
Multi-Channel Alerts
Webhook, Slack, email; per-rule frequency caps and cooldown windows to prevent alert fatigue.
Live Dashboard
SSE-driven trace feed, waterfall timeline, DAG graph, service graph, violation dashboard, and episode replay.