Token Compression: From Simple Text Trimming to LLM Context Governance
The article explains how token compression evolves from basic text shortening into a multi‑layered context‑governance process for large language models, balancing compression rate, semantic fidelity, constraint integrity, efficiency, stability and observability while deciding when and how to apply it.
