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context-engineering-pipeline

Diagnostic-and-fix pipeline for systematic context engineering — fix agent context, context engineering, context optimization pipeline, diagnose context problems. Chains context-fundamentals (attention, budgeting), context-optimization (KV-cache, partitioning, observation masking), context-compression (summarization, anchored iterative, tokens-per-task), context-degradation (lost-in-middle, poison

9estrelas
Atualizado há 4 meses

Ver no GitHub ↗ Licença: MIT

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Ler descrição completa

Context Engineering Pipeline

Context engineering is not prompt engineering. Prompt engineering is about what you say. Context engineering is about what the model can see, how much of it fits, what it pays attention to, what degrades over time, and where it lives between sessions. This pipeline treats the context window as infrastructure, not as a text box.

Most agent failures blamed on "the model is dumb" are actually context failures: the right information was absent, buried, contradicted

[Description truncada. Veja o README completo no GitHub.]

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