Tokens are the fundamental units of data the AI uses to process text. You can think of a token as a word, a part of a word, or punctuation. (Rule of thumb: 100 tokens ≈ 75 words).
Whether you are engaging in a standard direct chat or utilising chats integrated with tools, monitoring your tokens ensures efficiency.
To help you manage performance and track costs, the system displays three real-time metrics: Context Window, Billable Input and Billable Output.
Step 1: To view your token usage, click on Chat Tokens from within any ongoing or completed conversation.
Chat's Context Window:
What it is: The active memory of the current conversation, measured in tokens.
What it tracks: The total active tokens the AI can "see" at once. This includes prompts, AI replies, chat history, background instructions, and any uploaded or retrieved content.
Note: Reasoning and cached tokens are currently excluded from this count.
The Limit: Every model has a maximum token capacity. For chats using tools, this is further constrained by tool-level Max Output Tokens configuration (capping tokens per response).
Once these limits are reached, the application may drop older messages, truncate content, or the request may fail entirely.
Billable Input:
What it is: The total cumulative tokens sent to the AI during the session.
How it works: Each time a new message is sent, the AI does not just read that line—it re-reads the new prompt, past chat history, and system instructions to maintain context. All of this counts toward the input total.
Billable Output:
What it is: The total cumulative tokens generated by the AI across all responses in the session.
How it works: These tokens are billed the moment they are created. This count is separate from the context window, meaning earlier responses are still billed even if the AI eventually "forgets" them.