token-budget-advisor

Token estimation assesses input and output costs upfront for multi-document uploads and complex workflows. The token-budget-advisor calculates these costs, identifies risk zones (caution, danger, exceeds budget), and recommends chunking strategies to keep your task within the model's context window before you begin.

Chunking strategies include Sequential Processing (handle documents in order), Dimensional Breakdown (split by topic or document type), Depth Progression (layer analysis from shallow to deep), and Subset Sampling (work with representative samples). The token-budget-advisor recommends the best strategy based on your task size and structure.

Use token-budget planning whenever you're processing multiple documents, performing comprehensive analyses, or executing complex workflows with heavy research or large artifacts. Running the assessment upfront prevents mid-task failures and guides tool usage to stay within limits.

Yes. The token-budget-advisor applies warning thresholds that flag when your task enters the caution zone, danger zone, or exceeds your budget entirely. These alerts help you decide whether to adjust scope, chunk the work, or modify your approach before proceeding.

The token-budget-advisor provides structured chunking recommendations tailored to your input data and task complexity. It calculates token estimates, identifies bottlenecks, and outlines step-by-step guidance to divide large outputs and analyses into manageable chunks that respect token limits.