#!/bin/bash # SPDX-FileCopyrightText: Copyright (c) 2025-2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved. # SPDX-License-Identifier: Apache-2.0 # # Launch script for testing vLLM-Omni integration with text-to-text generation # This script starts an aggregated (frontend + omni worker) deployment for testing set -e trap 'echo Cleaning up...; kill 0' EXIT # Default model - Qwen2.5-Omni-7B for text-to-text MODEL="${MODEL:-Qwen/Qwen2.5-Omni-7B}" # Stage config path - use single-stage LLM config for text-to-text SCRIPT_DIR="$( cd "$( dirname "${BASH_SOURCE[0]}" )" && pwd )" STAGE_CONFIG="${STAGE_CONFIG:-$SCRIPT_DIR/stage_configs/single_stage_llm.yaml}" # Parse command line arguments EXTRA_ARGS=() while [[ $# -gt 0 ]]; do case $1 in --model) MODEL="$2" shift 2 ;; *) EXTRA_ARGS+=("$1") shift ;; esac done HTTP_PORT="${DYN_HTTP_PORT:-8000}" echo "==========================================" echo "Launching vLLM-Omni Text-to-Text (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 (frontend) # dynamo.frontend accepts either --http-port flag or DYN_HTTP_PORT env var (defaults to 8000) python -m dynamo.frontend & FRONTEND_PID=$! # Wait a bit for frontend to start sleep 2 echo "Starting Omni worker..." DYN_SYSTEM_PORT=${DYN_SYSTEM_PORT:-8081} \ python -m dynamo.vllm \ --model "$MODEL" \ --omni \ --stage-configs-path "$STAGE_CONFIG" \ "${EXTRA_ARGS[@]}"