š¢ Understanding Tokens
Learn how Blockli Assistant measures AI usage through tokensāand how it affects your credit balance.
Every time you interact with Blockli Assistant, the system processes your request using a powerful AI model. To ensure fairness and cost-efficiency, we measure usage based on tokensāthe building blocks of every AI conversation.
A token is a small unit of text. Tokens can be as short as one character or as long as one word. For example:
The word hello is one token
The phrase How are you today? is about 5 tokens
Tokens are how AI models read and process language, and both the input (your prompt) and the output (the assistantās response) count toward your usage.
Blockli Assistant usage is measured using two token types:
Prompt Tokens
These are tokens used when you send a message to the assistant. They include your message plus any system context or data the assistant needs to understand your question.
Completion Tokens
These are tokens used when the assistant generates a response to your message.
š§¾ Total token usage per interaction = Prompt Tokens + Completion Tokensš° How Tokens Affect Your Billing
Your token usage is tied directly to your credit balance. Hereās how it works:
Each time you send a message and receive a response, the total number of tokens is calculated.
The cost of those tokens is subtracted from your available credits.
When your credits run low, youāll be prompted to top up or add more.
š Want to avoid interruptions? Keep an eye on your usage in the Usage Metrics section of your customer portal.š What Affects Token Usage?
Several factors can influence how many tokens are used:
Length of your message (longer questions use more prompt tokens)
Size of the assistantās reply
Contextual data (e.g., analytics, user activity summaries) included in the prompt
How specific your question is (more precise = fewer tokens)
Keep your questions concise
Use assistant summaries instead of raw data dumps
Leverage built-in analytics instead of asking for full reports
Our system is already optimized to use precomputed insights and efficient prompt engineering to help reduce token usage behind the scenes. You get the insightsāwithout unnecessary costs.
Head to your Usage Metrics page in the Customer Portal to see:
Total tokens used
Prompt vs. completion breakdown
Credits consumed
Remaining balance
| Term | Meaning |
| Token | A chunk of text processed by the AI (word or part of a word) |
| Prompt Token | What you send to the assistant,Ā plus any system context or data the assistant needs to understand your question. |
| Completion Token | What the assistant replies with |
| Credit Usage | Calculated from total tokens used in each interaction |
