context-optimization

Name: context-optimization
Rating: 5 (9 reviews)
Author: viktorbezdek

EXTENDING effective context capacity — KV-cache optimization, observation masking, context partitioning, and retrieval strategies. Use when the user asks to "optimize context", "implement KV-cache", "partition context", "mask observations", or mentions extending context capacity or cache-friendly prompt design. NOT for reducing or compressing content via summarization (use context-compression), NO

9stars

Updated 2 months ago

View on GitHub ↗License: MIT

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Context Optimization Techniques

Context optimization extends effective capacity through strategic compression, masking, caching, and partitioning. The goal is making better use of available capacity — not magically increasing windows. Effective optimization can double or triple effective context without larger models.

When to Use / Not Use

Use when:

Context limits constrain task complexity
Optimizing for cost reduction (fewer tokens = lower costs)
Reducing latency for long conv

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

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