Lesson 1762 of 2116
Agentic AI: Set Tool-Call Budgets That Prevent Runaway Loops
Design per-task budgets for tool calls, tokens, and wall time so agents fail loudly instead of silently burning money in a loop.
Lesson map
What this lesson covers
Learning path
The main moves in order
- 1The premise
- 2tool budget
- 3token cap
- 4fail-loud
Concept cluster
Terms to connect while reading
Section 1
The premise
Most agent disasters are silent loops, not bad answers; explicit budgets turn an unbounded failure into a bounded one you can investigate.
What AI does well here
- Cap tool calls per task and per tool
- Track tokens and dollars per session
- Emit a clear error when a budget is hit
- Surface budget telemetry on a dashboard
What AI cannot do
- Pick the right number for your traffic without observation
- Distinguish a slow-but-correct task from a stuck one
- Replace observability and alerting
Key terms in this lesson
End-of-lesson quiz
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