Model Context Budgeting

高级ops最低上下文：16K

Optimizes prompts and agent workflows for finite context windows by prioritizing evidence, compressing history, managing retrieval budgets, and measuring token-cost trade-offs.

context-engineeringllm-costpromptsoptimization

使用场景

  • Long-running agents
  • Prompt cost optimization
  • RAG context tuning

示例提示词

Optimize this agent context strategy. Allocate a token budget across instructions, history, retrieval, and tool output, then propose truncation and summarization rules.

推荐模型

claude-opus-4-6gpt-5gemini-2-5-pro

兼容工具

claude-codecursorkiroany

模态

输入: text, code, file
→
输出: text, code

相关 Skills

llm-cost-optimizerrag-pipeline-builder

作者

OpenModels Community

@openmodelsrun