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2.0 KiB
2.0 KiB
LMCache Connector for SGLang
This document describes how to use LMCache as KV Cache Management Backend for SGLang engine. For more details about LMCache, please refer to: https://lmcache.ai
Install LMCache
Method 1: with pip
pip install lmcache
Method 2: from source
Clone LMCache project:
git clone https://github.com/LMCache/LMCache
Install:
cd LMCache
pip install -e . --no-build-isolation
Use LMCache
LMCache supports two transport modes. MP (multi-process, default) issues a single blocking retrieve over ZMQ to a standalone daemon that owns the KV store and survives SGLang restarts. IP (in-process) uses an embedded layerwise connector — the cache lives and dies with the SGLang process. Mode selection is currently a code-level setting in LMCRadixCache.__init__ (self._mode); only MP is reachable by default.
MP mode (default): multi-process daemon
Uses LMCacheMPConnector. Daemon host/port come from the LMCache YAML config (mp_host, mp_port).
Terminal 1 — start the LMCache daemon:
lmcache server \
--host 127.0.0.1 --port 5556 \
--l1-size-gb 4 \
--eviction-policy LRU
Use the bundled example_config_mp.yaml (or any YAML setting mp_host / mp_port):
Terminal 2 — start SGLang:
python -m sglang.launch_server \
--model-path MODEL \
--enable-lmcache \
--lmcache-config-file example_config_mp.yaml
For full LMCache config options see https://docs.lmcache.ai/api_reference/configurations.html.
IP mode: in-process
Uses LMCacheLayerwiseConnector. KV transfer happens per layer inside the SGLang process; the cache lives and dies with the server. To enable, edit LMCRadixCache.__init__ and set self._mode = LMCacheMode.IP.
The LMCache config still controls chunk_size and storage; mp_host / mp_port are ignored on this path. Use the bundled example_config_ip.yaml:
python -m sglang.launch_server \
--model-path MODEL \
--enable-lmcache \
--lmcache-config-file example_config_ip.yaml