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Version: 1.1.4

Understanding User Reports as a User

How to Understand User Reports in Kadal​

The User Reports feature in Kadal helps users monitor their account activity, offering detailed insights into agent performance, token consumption, and subscription details. This feature is designed to provide a clear and intuitive way to manage resources and track personal usage, ensuring users make the most of their accounts.

Accessing the User Reports Page:​

To get started, log in to Kadal and navigate to the User Reports page. This is your central hub for all usage-related insights, making it easy to review activity and understand resource allocation.

Understanding Profile Information:​

At the top of the User Reports page, you’ll see your profile information, which includes:

  • Name: Displays your registered account name, helping you verify that you’re in the correct account.
  • Mail ID: Shows the email address linked to your account, useful for communication or support-related queries.
  • Agents Created: This is the total number of agents you’ve built. It gives a snapshot of your productivity within the platform.
  • Tokens Used: Represents the total number of tokens consumed during your current session or over time, helping you manage your resource usage effectively.
  • Subscription End Date: Indicates when your current subscription expires, allowing you to plan for renewals.

Analyzing Data Visualizations:​

Below the profile section, the User Reports page provides three pie charts to visualize key data points:

  1. Total Agents: This chart shows the types of AI models used in your agents, with segments representing models like GPT, Gemini, or Anthropic. For example, if 50% of your agents use GPT, the chart will reflect this distribution.
  2. Total Tokens Used: Offers a breakdown of token consumption by model, helping you understand which models are consuming the most resources. This insight can guide you in optimizing agent performance.
  3. Total LLM Cost: Displays the cost associated with each model, making it easier to assess which models are most economical for your needs.

Tip: Hover over any segment in the pie chart to view specific model names and values. The color-coded legend below each chart makes it easy to identify the corresponding data points.

Monitoring Agents and Threads:​

The lower part of the User Reports page includes detailed tables for agents and threads.

  1. Agents Table:
    • Agent Name: Helps you identify each agent by name.
    • Status: Indicates whether the agent is active or inactive.
    • Model: Displays the type of AI model the agent uses.
    • Created Date & Time: Shows when the agent was created, allowing you to track recent additions.
    • Tokens Used: Indicates how many tokens each agent has consumed, helping you manage high-resource agents.
    • Cost: Reflects the associated cost for each agent’s model usage.
  2. Threads Table:
    • Thread Name: Lists the names of your active or saved threads.
    • Model: Displays the AI model used in the thread, so you can track model-specific interactions.
    • Created Date & Time: Helps you identify when the thread was initiated, useful for reviewing past interactions.