Model Context Budgeting

İleriopsEn az 16K bağlam

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

Kullanım alanları

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

Örnek prompt

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

Önerilen modeller

Uyumlu araçlar

claude-codecursorkiroany

Modaliteler

Giriş: text, code, file
Çıkış: text, code

İlgili Skills

Yazar

OpenModels Community

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Model Context Budgeting — AI Agent Skill | OpenModels