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agg_lmcache.sh
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executable file
·37 lines (33 loc) · 1.49 KB
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#!/bin/bash
# SPDX-FileCopyrightText: Copyright (c) 2025-2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
# SPDX-License-Identifier: Apache-2.0
set -e
trap 'echo Cleaning up...; kill 0' EXIT
# Explicitly unset PROMETHEUS_MULTIPROC_DIR to let LMCache or Dynamo manage it internally
unset PROMETHEUS_MULTIPROC_DIR
MODEL="Qwen/Qwen3-0.6B"
HTTP_PORT="${DYN_HTTP_PORT:-8000}"
echo "=========================================="
echo "Launching Aggregated Serving + LMCache (1 GPU)"
echo "=========================================="
echo "Model: $MODEL"
echo "Frontend: http://localhost:$HTTP_PORT"
echo "=========================================="
echo ""
echo "Example test command:"
echo ""
echo " curl http://localhost:${HTTP_PORT}/v1/chat/completions \\"
echo " -H 'Content-Type: application/json' \\"
echo " -d '{"
echo " \"model\": \"${MODEL}\","
echo " \"messages\": [{\"role\": \"user\", \"content\": \"Explain why Roger Federer is considered one of the greatest tennis players of all time\"}],"
echo " \"max_tokens\": 32"
echo " }'"
echo ""
echo "=========================================="
# run ingress
# dynamo.frontend accepts either --http-port flag or DYN_HTTP_PORT env var (defaults to 8000)
python -m dynamo.frontend &
# run worker with LMCache enabled (without PROMETHEUS_MULTIPROC_DIR set externally)
DYN_SYSTEM_PORT=${DYN_SYSTEM_PORT:-8081} \
python -m dynamo.vllm --model "$MODEL" --kv-transfer-config '{"kv_connector":"LMCacheConnectorV1","kv_role":"kv_both"}'