Glossary
Token Budget
The maximum number of tokens allocated for a specific AI agent operation, controlling both cost and computational resource usage.
What is Token Budget?
Token budgets limit the input and output size for language model operations, preventing runaway costs and constraining agent resource consumption. Budgets must be sized appropriately for task complexity, allowing sufficient tokens for quality responses while preventing waste. Exceeding budgets typically results in truncation or operation failure.
Effective token budget management involves analyzing typical task requirements, implementing efficient prompting strategies, and monitoring actual usage patterns. Dynamic budgets that adapt based on task complexity and importance optimize resource utilization, allocating generous budgets to critical operations while constraining routine tasks.
Example
A summarization agent has a token budget of 4,000 tokens per operation (3,000 input + 1,000 output). When a user submits a 5,000-token document, the system truncates input to fit the budget, ensuring the operation completes within cost constraints while still providing a useful summary.
How Signet addresses this
Signet considers token budget efficiency in the Financial dimension. Agents that accomplish tasks within reasonable token budgets demonstrate cost-effectiveness, while those frequently exceeding budgets or using tokens inefficiently may receive lower Financial scores.
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