Use context profiler to optimize your LLM calls and reduce token use
Summary
ContextSpy is a local proxy tool that profiles how LLM applications use their context window, breaking down token usage by category to help developers optimize and reduce costs.
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Less Context, Better Agents: Efficient Context Engineering for Long-Horizon Tool-Using LLM Agents
This paper evaluates context engineering configurations for LLM agents in enterprise tool-use workflows, showing that summarization with selective pruning achieves 91.6% accuracy while reducing token usage by over 60% compared to full-context baselines.
@omarsar0: // The Efficiency Frontier // Cool paper on context management. As agents reuse the same documents and histories across…
This paper introduces The Efficiency Frontier, a unified framework for cost–performance optimization in LLM context management that models context strategy selection as a deployment-aware optimization problem, achieving 25% reduction in token usage and over 50% lower token cost with amortized memory compression compared to full-context prompting.
@IntuitMachine: PEEK: The 1k-Token Map That Just Killed the Long-Context Tax Your LLM agent is reading the same 50k-token codebase for …
Microsoft introduces PEEK, a 1,024-token 'context map' that caches orientation knowledge for LLM agents, cutting redundant reasoning and achieving up to 34% accuracy gains with 93–145 fewer retries and 5.8× cost reduction.
Why is every "context layer" tool lying about token savings?
The author critiques the lack of transparent benchmarking in emerging context layer and MCP optimizer tools that promise drastic token savings, noting that real-world tests fail to replicate claimed efficiencies. They urge developers to demand open, reproducible benchmarks and ask for recommendations of tools that actually deliver measurable results.
The Efficiency Frontier: A Unified Framework for Cost-Performance Optimization in LLM Context Management
Introduces The Efficiency Frontier, a unified framework for optimizing cost and performance in LLM context management, achieving approximately 25% reduction in effective token usage at comparable performance on HotpotQA.