Keeping vLLM's Prefix Cache Warm Between Agent Turns
A practitioner running a 10-call agent workflow through vLLM asks how to best process batches of prompts sharing a common prefix. Their setup routes traffic via an llm-d/vllm-router with KV-cache-aware routing into a pool of vLLM workers. They propose sending one call first to prime the cache block before dispatching the rest, and ask whether this is a sound strategy.
A practitioner running a 10-call agent workflow through vLLM asks how to best process batches of prompts sharing a common prefix. Their setup routes traffic via an llm-d/vllm-router with KV-cache-aware routing into a pool of vLLM workers. They propose sending one call first to prime the cache block before dispatching the rest, and ask whether this is a sound strategy.
A post on Hacker News links to an engineering article proposing a simple fix for LLM tail latency. The fix aims to reduce variability in inference response times, which is critical for real-time applications. Practitioners can apply this technique to improve consistency in LLM serving.
A post on Hacker News links to an engineering article proposing a simple fix for LLM tail latency. The fix aims to reduce variability in inference response times, which is critical for real-time applications. Practitioners can apply this technique to improve consistency in LLM serving.
Show HN: Eliminating text looping/latent collapse in LLM activation steering
Show HN: Eliminating text looping/latent collapse in LLM activation steering
A developer created a tool to detect cache invalidation in LLM calls, addressing prefill cost issues in local-first harnesses. The tool helps identify when changes to messages, system prompts, tools, or reasoning_effort trigger cache misses.
A developer created a tool to detect cache invalidation in LLM calls, addressing prefill cost issues in local-first harnesses. The tool helps identify when changes to messages, system prompts, tools, or reasoning_effort trigger cache misses.
Coalent is an LLM answer cache that automatically invalidates cached responses when the underlying source documents change. It solves the problem of stale or outdated LLM-generated answers by tying cache validity to document updates, useful for developers building document-grounded LLM applications.
Coalent is an LLM answer cache that automatically invalidates cached responses when the underlying source documents change. It solves the problem of stale or outdated LLM-generated answers by tying cache validity to document updates, useful for developers building document-grounded LLM applications.