chore: import upstream snapshot with attribution

examples/cache_controller/clear/README.md

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+# LMCache Clear
+This is an example to demonstrate how to clear 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
+1. Start the vllm engine at port 8000:
+
+```bash
+CUDA_VISIBLE_DEVICES=0 LMCACHE_CONFIG_FILE=example.yaml vllm serve meta-llama/Llama-3.1-8B-Instruct --max-model-len 4096  --gpu-memory-utilization 0.8 --port 8000 --kv-transfer-config '{"kv_connector":"LMCacheConnectorV1", "kv_role":"kv_both"}'
+```
+
+2. Start the lmcache controller at port 9000 and the monitor at port 9001:
+
+```bash
+lmcache_controller --host localhost --port 9000 --monitor-port 9001
+```
+
+3. Send a request to vllm engine:  
+```bash
+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
+  }'
+```
+
+4. Clear the KV cache in the system:
+```bash
+curl -X POST http://localhost:9000/clear \
+  -H "Content-Type: application/json" \
+  -d '{
+    "instance_id": "lmcache_default_instance",
+    "location": "LocalCPUBackend"
+  }'
+```
+You should be able to see a return message indicating the number of tokens' KV cache that has been successfully cleared in the system:
+
+```plaintext
+{"event_id": "xxx", "num_tokens": 12}
+```

examples/cache_controller/clear/example.yaml

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+chunk_size: 256
+local_cpu: True
+max_local_cpu_size: 5
+
+# cache controller configurations
+enable_controller: True
+lmcache_instance_id: "lmcache_default_instance"
+controller_pull_url: "localhost:9001"
+lmcache_worker_ports: 8001
+
+# Peer identifiers
+p2p_host: "localhost"
+p2p_init_ports: 8200