RRouteIQ

Platform

Three layers of production
agent reliability

Observability alone is not enough. Agent systems need SRE — the operational discipline modern software systems already have.

01

Monitor. Detect. Intervene.

Agent Reliability Control Plane

Track agent systems against reliability, latency, safety, and cost objectives. The control plane gives your team continuous visibility into whether every run is meeting its production SLOs — and automated mechanisms to respond when it isn't.

Move beyond dashboards that tell you what happened. RouteIQ tells you what to do next: retry, downgrade autonomy, switch models, open an approval gate, or escalate to a human.

See it in action
Task success & failure rate by cause

Understand why tasks fail, not just that they do.

P95 / P99 latency tracking

Measure latency at the task, step, and tool level.

Cost per successful task

Track spend per run and alert on cost overruns.

Policy SLO monitoring

Define and track safe behavior thresholds per workflow.

Real-time anomaly detection

Identify loop, drift, and silent failure patterns as they emerge.

Fallback orchestration

Trigger retries, model swaps, or context refreshes automatically.

Human escalation routing

Route risky actions to the right approver with full context.

Version canaries

Compare prompt, model, and tool versions with regression analysis.

02

Beyond logs. Into the run.

State Debugger

Logs show what happened. The State Debugger shows why. Inspect how an agent's plan, memory, assumptions, and constraints evolved at every step — and identify exactly where goal drift, stale context, or reasoning mismatches started.

Every step is a diff: what changed in the agent's understanding of the world, and whether those changes moved it closer to or further from the task objective.

See it in action
State diff timeline

See how plan, memory, and constraints changed at each step.

Goal drift score

Quantify deviation from the original task objective over time.

Plan adherence analysis

Track whether the agent followed its stated plan.

Memory lineage

Trace which memory items were used, ignored, or corrupted.

Stale context detection

Flag outdated facts and assumptions driving bad decisions.

Loop detection

Identify repeated tool calls and stuck-run patterns.

Confidence calibration

Compare confidence signals against actual correctness.

Root cause scoring

Surface the most likely explanation for task failure.

03

Visibility into every coordination boundary.

Multi-Agent Reliability Platform

Single-agent reliability is table stakes. When you have specialist agents, orchestrators, approval chains, and delegation graphs, failures happen at the seams — in handoffs, role boundaries, and coordination overhead.

RouteIQ gives you a topology view of your agent network: which relationships are load-bearing, where context is lost, and which agents are creating most of the failure surface.

See it in action
Handoff success & loss metrics

Track every context transfer and measure fidelity.

Agent interaction graph

Visualize the full delegation and coordination topology.

Role boundary enforcement

Flag when agents operate outside their intended scope.

Deadlock detection

Surface circular approval chains and stuck handoffs.

Ping-pong loop detection

Identify unproductive back-and-forth between agents.

Coordination overhead tracking

Measure the latency cost of multi-agent workflows.

Specialist effectiveness

Score each specialist agent's contribution to task success.

Topology fragility analysis

Identify single points of failure in your agent graph.

Ready to ship agents with confidence?

Book a demo to see RouteIQ in action with your agent stack.