Lesson 1464 of 2116
Setting Per-Action Cost Budgets for AI Agents
Cap the cost an agent can spend per task and per action so a runaway loop doesn't drain your account.
Lesson map
What this lesson covers
Learning path
The main moves in order
- 1The premise
- 2cost budgets
- 3guardrails
- 4agent control
Concept cluster
Terms to connect while reading
Section 1
The premise
Wrap each tool call and LLM call in a budget that aborts the run when exceeded, with a per-action ceiling and a per-task ceiling.
What AI does well here
- Track tokens and tool-call cost in real time
- Abort cleanly when ceiling is hit
- Report what the agent got done before stopping
What AI cannot do
- Predict cost of an open-ended task
- Recover from a hard stop without help
- Replace policy on what tasks deserve budget
Key terms in this lesson
End-of-lesson quiz
Check what stuck
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Tutor
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