2.4 KiB
2.4 KiB
User Controllable Caching
This is an example to demonstrate user controllable caching (e.g., specify whether to cache a request or not).
Prerequisites
Your server should have at least 1 GPU.
This will use the port 8000 for 1 vllm.
Steps
- Start the vllm engine at port 8000:
vllm serve meta-llama/Llama-3.1-8B-Instruct \
--kv-transfer-config '{"kv_connector": "LMCacheConnectorV1","kv_role": "kv_both"}'
- Send a request to vllm engine with caching enabled (default behavior):
Using /v1/completions:
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
}'
Using /v1/chat/completions:
curl -X POST http://localhost:8000/v1/chat/completions \
-H "Content-Type: application/json" \
-d '{
"model": "meta-llama/Llama-3.1-8B-Instruct",
"messages": [
{"role": "user", "content": "Explain the significance of KV cache in language models."}
],
"max_tokens": 10
}'
You should be able to see logs indicating the KV cache is stored:
INFO: Storing KV cache for 13 out of 13 tokens (skip_leading_tokens=0)
- Send a request with caching disabled:
Using /v1/completions:
curl -X POST http://localhost:8000/v1/completions \
-H "Content-Type: application/json" \
-d '{
"model": "meta-llama/Llama-3.1-8B-Instruct",
"prompt": "What is the weather today in Chicago?",
"max_tokens": 10,
"kv_transfer_params": {
"lmcache.skip_save": true
}
}'
Using /v1/chat/completions:
curl -X POST http://localhost:8000/v1/chat/completions \
-H "Content-Type: application/json" \
-d '{
"model": "meta-llama/Llama-3.1-8B-Instruct",
"messages": [
{"role": "user", "content": "What'"'"'s the weather today in Chicago?"}
],
"max_tokens": 10,
"kv_transfer_params": {
"lmcache.skip_save": true
}
}'
You should be able to see logs indicating the KV cache is NOT stored:
INFO: User has specified not to store the cache (store_cache: false)
Note that cache is stored by default.
To disable caching, pass "kv_transfer_params": {"lmcache.skip_save": true} in your request.
This works for both /v1/completions and /v1/chat/completions endpoints.