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A router scores each request's complexity and dispatches it to the cheapest model that still meets the quality bar, under explicit token, time, and cost budgets, using prompt caching and model cascades. Typical conditions for use: Request volume is high with mixed difficulty; Cost is a first-order constraint. The central trade-off: Large cost savings are gai…
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Theoretical construct: explains a term, principle, or mental model.
What organizes, connects, or makes decisions possible.
The agentic resource-aware optimization pattern selects agents, models, and tools according to resources such as time, cost, compute, and context budget.
The pattern grew from operating agentic systems under real-world constraints and combines dynamic planning with resource-aware optimization.
Like an incident commander, the system decides which team member handles a task when time, budget, and equipment are limited.
Execution decisions consider both task quality and resource consumption.
The pattern steers model choice, parallelism, and detail according to running cost.
Budgets, latency, and available tools inform planning and execution.
The pattern makes agentic workflows operable under fixed cost and runtime limits.
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