vLLM Adds Text Watermarking to Inference Engine

vLLM has integrated a text watermarking scheme that embeds provenance into generated tokens without altering the model's output distribution. The method derives keyed pseudorandom values from recent context and candidate tokens, so a detector with the secret key can verify origin while unwatermarked text scores as random. It targets high-throughput serving with minimal latency and memory overhead.