LMCache Lookup
This is an example to demonstrate how to check the existence of a request's KV cache in an LMCacheEngine externally.
Prerequisites
Your server should have at least 1 GPU.
This will use port 8000 for 1 vllm and port 8001 for LMCache. The controller occupies ports 9000 and 9001.
Steps
- Start the vllm engine at port 8000:
PYTHONHASHSEED=123 CUDA_VISIBLE_DEVICES=0 LMCACHE_CONFIG_FILE=example.yaml vllm serve meta-llama/Llama-3.1-8B-Instruct --gpu-memory-utilization 0.8 --port 8000 --kv-transfer-config '{"kv_connector":"LMCacheConnectorV1", "kv_role":"kv_both"}'
- Start the lmcache controller at port 9000 and the monitor at port 9001:
PYTHONHASHSEED=123 lmcache_controller --host localhost --port 9000 --monitor-port 9001
- Send a request to vllm engine:
curl -X POST http://localhost:8000/v1/completions \
-H "Content-Type: application/json" \
-d '{
"model": "meta-llama/Llama-3.1-8B-Instruct",
"prompt": "Explain the significance of KV cache in language models.",
"max_tokens": 10
}'
- Tokenize the prompt:
curl -X POST http://localhost:8000/tokenize \
-H "Content-Type: application/json" \
-d '{
"model": "meta-llama/Llama-3.1-8B-Instruct",
"prompt": "Explain the significance of KV cache in language models."
}'
You should be able to see the returned token ids as:
{"count":12,"tokens":[128000,849,21435,279,26431,315,85748,6636,304,4221,4211,13],"token_strs":null}
- Send a lookup request to lmcache controller:
curl -X POST http://localhost:9000/lookup \
-H "Content-Type: application/json" \
-d '{
"tokens": [128000, 849, 21435, 279, 26431, 315, 85748, 6636, 304, 4221, 4211, 13]
}'
The above request returns the cache information.
You should be able to see a return message:
{"event_id": "xxx", "lmcache_default_instance": ("LocalCPUBackend", 12)}
lmcache_default_instance indicates the instance_id and ("LocalCPUBackend", 12) indicates the cache location within that instance and matched prefix length. event_id is an identifier of the controller operation, which can be ignored in this functionality.