Task Budget
Simple Definition
A task budget is the expected tokens, cost, time, model calls, tool calls, retries, and human review effort a task will need, estimated before the work starts rather than discovered after the invoice arrives.
Why It Matters
Agent work isn’t one predictable prompt, it’s a chain of steps that can grow if the agent hits friction. Setting a task budget up front gives you a low, expected, and high range to plan against, and a trigger point: if actual usage is tracking well past the high estimate, that’s a signal to check in rather than let the task run unchecked.
What Goes Into a Task Budget
- Context and input size
- Expected output size
- Likely number of tool calls
- Expected agent steps and realistic retries
- Human review time
Example
Before assigning a coding agent to fix a bug, a developer budgets: moderate context (the relevant files), a couple of tool calls (search, run tests), one likely retry if the first attempt doesn’t pass, and a real code review before merging. If the agent blows well past that budget without a clear reason, that’s the cue to step in.
Related Terms
- Effort Routing, deciding how much reasoning and review a task gets
- Output Token Efficiency, how much useful work comes out of a given budget
- Model Routing, choosing which model to spend the budget on
For the full estimation framework, see How to Estimate an AI Agent’s Cost.
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