Lesson 2090 of 2116
AI Agentic Cost Control: Token Budgets and Circuit Breakers
Practical patterns for keeping agent costs predictable in production.
Lesson map
What this lesson covers
Learning path
The main moves in order
- 1The premise
- 2token budget
- 3circuit breaker
- 4cost telemetry
Concept cluster
Terms to connect while reading
Section 1
The premise
Long-running AI agents accumulate costs nonlinearly through context growth, retry loops, and unbounded tool calls — requiring explicit budget and circuit-breaker patterns.
What AI does well here
- Tracking cumulative token usage when given a counter tool
- Stopping execution when a hard budget cap is reached
- Compressing context when prompted with summarization instructions
- Reporting per-task cost in structured output
What AI cannot do
- Estimate true cost before starting a complex task
- Trade off cost versus quality without explicit weights
Key terms in this lesson
End-of-lesson quiz
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