2025-12-12
Google’s new framework helps AI agents spend their compute and tool budget more wisely
In a new paper that studies tool-use in large language model (LLM) agents, researchers at Google and UC Santa Barbara have developed a framework that enables agents to make more efficient use of tool and compute budgets. The researchers introduce two new techniques: a simple "Budget Tracker" and a more comprehensive framework called "Budget Aware Test-time Scaling." These techniques make agents explicitly aware of their remaining reasoning and tool-use allowance.
As AI agents rely on tool calls to work in the real world, test-time scaling has become less about smarter models and more about controlling cost and latency.
For enterprise leaders and developers, budget-aware scaling techniques offer a practical path to deployi [...]
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Plenty of companies have promised to produce a gaming laptop that could be upgraded over time. If we’re honest, nobody has managed to properly deliver on that pledge until now, as Framework launches [...]
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The Google Search of AI agents? Fetch launches ASI:One and Business tier for new era of non-human web
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The missing data link in enterprise AI: Why agents need streaming context, not just better prompts
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