Model Context Budgeting

Name: OpenModels
Creator: OpenModels
License: https://github.com/openmodelsrun/openmodels

AvanzadaopsContexto mínimo: 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-engineering llm-cost prompts optimization

Casos de uso

Long-running agents
Prompt cost optimization
RAG context tuning

Prompt de ejemplo

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

Modelos recomendados

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

Herramientas compatibles

claude-codecursorkiroany

Modalidades

Entrada: text, code, file

→

Salida: text, code

Skills relacionadas

llm-cost-optimizer rag-pipeline-builder

Autor

OpenModels Community

@openmodelsrun