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
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