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Dashboard

The dashboard is your central monitoring space that allows you to track the activity and performance of your LLM applications. This page presents several key indicators in the form of graphs and statistics.

Period Selection

At the top of the page, you can choose the analysis period from three options:

  • The last 7 days (default selection)
  • The last 30 days
  • The last 90 days

Daily Message Volume

This section displays a line graph that shows:

  • The evolution of the number of messages exchanged per day
  • The horizontal axis represents dates
  • The vertical axis indicates the number of messages
  • A purple line illustrates the trend of message volume

This graph allows you to:

  • Identify usage peaks
  • Detect usage trends
  • Evaluate the adoption of your applications

Message Distribution by LLM App

A pie chart presents the distribution of messages among your different applications:

  • Each colored section represents a different application
  • The legend below the graph identifies each application
  • Proportions are calculated over the selected period

This visualization helps you to:

  • Identify the most used applications
  • Understand the distribution of usage
  • Spot applications that may require more attention

Performance Indicators

User Feedback

This section displays:

  • The total number of positive feedback (👍)
  • The total number of negative feedback (👎)
  • The period concerned (e.g., "The last 7 days")

Total Number of Messages

Shows:

  • The total number of messages exchanged
  • The percentage change compared to the previous period
  • The reference period

Total Number of Guardrail Activations

Indicates:

  • The number of times security devices have been activated
  • The period concerned

Active Users

Presents:

  • The number of unique users who have interacted with your applications
  • The reference period

Important Note

Statistics and graphs are automatically updated to reflect the selected period. Use this information to:

  • Track the usage of your applications
  • Identify trends
  • Detect potential issues
  • Make decisions based on concrete data