Lesson 1271 of 2116
Building a Budget-Aware Agent Planner
How to give the agent a token and dollar budget it must plan within, not just consume.
Lesson map
What this lesson covers
Learning path
The main moves in order
- 1The premise
- 2AI and agent cost budgets per task
- 3The premise
- 4Setting a Tool-Call Budget for Your AI Agent
Concept cluster
Terms to connect while reading
Section 1
The premise
Cost-naive agents drain budgets; cost-aware agents prune steps before they spend.
What AI does well here
- Plan with an explicit token/dollar ceiling in the system prompt
- Estimate a step's cost before running it
- Trim or batch steps when the remaining budget is tight
- Surface 'I cannot finish within budget' as a first-class result
What AI cannot do
- Know exact costs without provider-side accounting
- Trade quality for cost without your stated preferences
- Recover gracefully from a hard cutoff mid-tool-call
Key terms in this lesson
Section 2
AI and agent cost budgets per task
Section 3
The premise
Agents can spiral on cost. Per-task budgets, enforced at the framework level, are cheaper than incident reviews.
What AI does well here
- Help estimate baseline cost from a few runs.
- Suggest token caps per step.
- Propose alerts at percent-of-budget thresholds.
What AI cannot do
- Stop runaway loops without infra hooks.
- Predict cost on novel tasks accurately.
- Reconcile bills against logs for you.
Section 4
Setting a Tool-Call Budget for Your AI Agent
Section 5
The premise
Unbounded agents wander, retry, and burn money. A tool-call budget forces them to summarize and ask for direction at known intervals.
What AI does well here
- Stop and report after a set number of tool calls.
- Summarize work-in-progress when the budget is reached.
What AI cannot do
- Decide on its own when 'enough' has been done.
- Reliably notice that it is going in circles.
Key terms in this lesson
End-of-lesson quiz
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