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vllm-omni/scripts/README.md
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2025-10-24 16:20:58 +08:00

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vLLM-omni Testing Scripts

This directory contains automated testing scripts for vLLM-omni serving functionality.

Scripts Overview

1. test_serving.sh - Comprehensive Test Suite

Full-featured testing script that performs complete validation of the vLLM-omni serving functionality.

Features:

  • Model existence validation
  • Environment setup verification
  • Import functionality testing
  • Server startup and health checks
  • Text generation testing
  • Performance benchmarking
  • API client integration testing
  • Comprehensive logging and error handling

Usage:

# Use default model and port
./scripts/test_serving.sh

# Use specific model and port
./scripts/test_serving.sh ./models/Qwen3-0.6B 8000

# Use HuggingFace model
./scripts/test_serving.sh Qwen/Qwen3-0.6B 8001

# Show help
./scripts/test_serving.sh --help

Test Coverage:

  • ✅ Model loading and server startup
  • ✅ Health and info endpoints
  • ✅ Text generation functionality
  • ✅ Performance metrics
  • ✅ API client integration
  • ✅ All imports working correctly

2. quick_test.sh - Fast Validation

Lightweight script for quick validation after making changes.

Features:

  • Fast import testing
  • Basic server startup
  • Health endpoint validation
  • Simple text generation test
  • Retry mechanism for reliability

Usage:

# Use default port (8000)
./scripts/quick_test.sh

# Use specific port
./scripts/quick_test.sh 8001

Test Coverage:

  • ✅ Import functionality
  • ✅ Server startup
  • ✅ Health endpoint
  • ✅ Basic text generation

Prerequisites

  1. Conda Environment: Ensure vllm_omni environment is activated
  2. Model Available: Qwen3-0.6B model should be available in ./models/Qwen3-0.6B/
  3. Dependencies: All vLLM-omni dependencies should be installed

Environment Setup

# Activate conda environment
conda activate vllm_omni

# Verify installation
python -c "import vllm_omni; print('vLLM-omni ready')"

Model Setup

The scripts expect the Qwen3-0.6B model to be available. You can:

  1. Use local model: Place model in ./models/Qwen3-0.6B/
  2. Use HuggingFace model: Pass Qwen/Qwen3-0.6B as model path
  3. Download model: Use the download_models.py script
# Download model using the provided script
python scripts/download_models.py

Output and Logging

Test Results

  • Success: Green [SUCCESS] messages
  • Info: Blue [INFO] messages
  • Warnings: Yellow [WARNING] messages
  • Errors: Red [ERROR] messages

Log Files

  • server.log: Server startup and runtime logs
  • api_client_test.log: API client test results
  • simple_usage_test.log: Simple usage test results