Deployment operations

Analytics

Gain insights from operational data to optimize agent performance

Analytics provides actionable insights into agent and workflow performance, usage patterns, and business outcomes.

Dashboard Overview

Key Metrics

Performance Metrics

  • Execution Time - Average, P50, P95, P99 latencies
  • Throughput - Executions per minute/hour/day
  • Success Rate - Percentage of successful completions
  • Error Rate - Failure frequency and types

Usage Metrics

  • Active Agents - Number of deployed agents
  • Active Workflows - Running workflow count
  • API Calls - External service invocations
  • Token Usage - LLM token consumption

Business Metrics

  • Tasks Completed - Business outcomes achieved
  • Time Saved - Automation efficiency gains
  • Cost per Execution - Resource consumption costs

Pre-built Dashboards

Operations Dashboard

Real-time view of system health:

  • Live execution counts
  • Error spike detection
  • Resource utilization
  • Active user sessions

Agent Performance Dashboard

Agent-specific metrics:

  • Response quality scores
  • Tool usage patterns
  • Conversation length distribution
  • User satisfaction ratings

Cost Analytics Dashboard

Resource consumption insights:

  • Token usage by agent/model
  • API call costs
  • Compute resource usage
  • Cost trends and forecasts

Custom Reports

Report Builder

Create custom reports with:

  • Drag-and-drop metrics selection
  • Flexible time ranges
  • Multiple visualization types
  • Export to PDF/CSV

Scheduled Reports

Automate report delivery:

  • Daily/weekly/monthly schedules
  • Email distribution lists
  • Slack/Teams integration

Alerting

Alert Types

  • Threshold Alerts - Trigger when metric exceeds limit
  • Anomaly Alerts - Detect unusual patterns
  • Trend Alerts - Warn on concerning trends

Alert Channels

  • Email notifications
  • Slack/Teams messages
  • PagerDuty integration
  • Webhook callbacks

Data Exploration

Query Interface

Write custom queries against your data:

  • SQL-like query language
  • Auto-complete and suggestions
  • Query history and sharing

Visualization Options

  • Line charts for time series
  • Bar charts for comparisons
  • Pie charts for distributions
  • Tables for detailed data

Best Practices

  1. Set Baseline Metrics - Establish normal performance ranges
  2. Create Custom Dashboards - Focus on your key metrics
  3. Configure Alerts Early - Don't wait for incidents
  4. Review Weekly - Regular performance reviews
  5. Correlate with Business Outcomes - Tie metrics to value

Ask AI

FlowGenX Documentation

How can I help you?

Ask me anything about FlowGenX AI - workflows, agents, integrations, and more.

AI responses based on FlowGenX docs