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Token Count Analytics

The Token Count chart displays the distribution of token usage in chat sessions. Tokens represent units of text processed by the chatbot, including words and punctuation. Analyzing token counts helps evaluate the complexity and length of conversations.

How to Interpret the Chart​

  • Sessions with higher token counts may involve complex queries, longer responses, or multiple exchanges.
  • Sessions with low token counts may indicate quick or incomplete interactions.

Use Cases​

  1. Monitor Token Usage Limits
    Ensure your chatbot stays within the token limits set by your subscription plan.

  2. Optimize Prompt Design
    Analyze sessions with high token counts to identify prompts and responses that can be shortened or made more efficient.

  3. Evaluate Session Complexity
    Identify conversations that require in-depth responses or repeated clarifications.

Actions to Take​

  • Optimize chatbot responses to reduce unnecessary tokens.
  • Review high token count sessions to ensure the chatbot is concise and efficient.
  • Detect incomplete or abrupt conversations with very low token counts.

FAQs​

  1. What is a token?
    A token is a small piece of text, such as a word or punctuation mark, processed by the chatbot.

  2. How can I reduce token usage?
    Optimize chatbot prompts and responses to be concise while retaining necessary information.