In AI workflows, every action an autonomous agent takes—like calling an API or processing data—incurs a fee. These agent token costs are metered per request, making budgeting crucial for developers scaling automation. By tracking usage, teams optimize efficiency and control spending. Ultimately, businesses deploying AI assistants benefit most, gaining predictable expenses while maximizing operational output.
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