Large Language Models
Token Budget
Large Language Models· Intermediate
Definition
An explicit allocation of tokens for different components of a prompt or agentic workflow — reserving space for system instructions, retrieved context, conversation history, and the expected response. Token budget management prevents context overflow and controls costs in production deployments.
Maxx Stacks Context
Maxx Stacks context: MSIL agents manage token budgets dynamically across multi-step workflows, compressing older context and prioritizing recent, relevant information.
Enterprise Context
Critical for enterprise agentic systems: unmanaged token growth leads to context truncation, degraded performance, and unexpected API costs. Token budget design should be part of every AI architecture review.
Tags
#context#cost#optimization
MS
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