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Dashboard Overview

Dashboard Monitoring

The dashboard is your organization’s central command screen. It surfaces the most important operational signals so you can spot issues, track trends, and navigate to detailed views without switching between multiple pages.

When you open the dashboard, you see a consolidated view of your organization’s current state:

  • System status indicators at the top, showing whether core components are healthy.
  • Performance snapshots with real-time metrics on agent activity.
  • Anomaly and incident alerts highlighting unusual patterns that need attention.
  • Helpdesk sessions listing active and recent support conversations.
  • Ticket trend analytics graphing ticket volume over configurable time ranges.

The status section at the top of the dashboard provides a quick health check across three dimensions:

IndicatorWhat it shows
Active agentsNumber of agents currently running conversations or executing tasks. A zero count may indicate a configuration issue.
Active deploymentsDeployments that have at least one connected connector and are ready to execute tools.
Connected edge connectorsEdge Connector instances currently maintaining a WebSocket connection to the platform.

Below the status indicators, performance cards display real-time metrics on agent performance:

  • Conversations in progress — the number of active chat sessions across all agents.
  • Average response time — how quickly agents are responding to user messages.
  • Tool execution rate — the number of tool calls being processed per minute.
  • Success rate — the percentage of agent runs that complete without errors.

These metrics refresh automatically, giving you a live pulse on how your organization’s agents are performing.

The incident feed surfaces alerts about unusual patterns detected across your organization:

  • Elevated error rates — a sudden spike in failed tool executions or agent errors.
  • Latency anomalies — response times exceeding normal thresholds.
  • Connectivity drops — edge connectors going offline unexpectedly.
  • Credit consumption spikes — abnormal increases in LLM token usage.

Each alert includes a timestamp, severity level, and a link to the relevant detail view for investigation.

The sessions table lists active and recent support conversations with the following details:

ColumnDescription
Session IDUnique identifier for the conversation
AgentThe agent handling the session
UserThe end user who initiated the conversation
StatusCurrent state: active, waiting, or completed
StartedWhen the session began
DurationHow long the session has been running
MessagesTotal number of messages exchanged

Click any row to open the full conversation transcript and see detailed tool execution logs for that session.

The analytics section displays graphs showing ticket volume over time. You can:

  • Adjust the time range — view trends over the last 24 hours, 7 days, 30 days, or a custom period.
  • Filter by agent — isolate ticket creation trends to a specific agent.
  • Compare periods — overlay the current period against the previous one to spot growth or regression.
  • View by status — break down tickets by open, in-progress, resolved, or escalated.

These graphs help you identify peak hours, measure the impact of agent configuration changes, and plan capacity.

Every section on the dashboard is a starting point for deeper investigation. Use the following navigation paths:

Agent details

Click an agent name in any dashboard widget to open its configuration and execution history.

Deployment details

Click a deployment indicator to see connected connectors, tool assignments, and version status.

Session transcript

Click a session row to view the full conversation, tool calls, and LLM reasoning trace.

Incident details

Click an alert in the incident feed to see the full context and suggested remediation steps.