Vlmmetrics

[sumanaga]

PR Checklist

• Added label to the Pull Request for easier discoverability and search
• Commit Message meets guidelines as indicated in the URL https://github.com/intel-retail/performance-tools/blob/main/CONTRIBUTING.md
• Every commit is a single defect fix and does not mix feature addition or changes
• Unit Tests have been added for new changes
• Updated Documentation as relevant to the changes
• All commented code has been removed
• If you've added a dependency, you've ensured license is compatible with repository license and clearly outlined the added dependency.
• PR change contains code related to security
• PR introduces changes that breaks compatibility with other modules (If YES, please provide details below)

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[Copilot]

Pull request overview

This PR introduces VLM (Vision Language Model) metrics logging capabilities to the performance tools, enabling tracking of application timing events and performance metrics for VLM workloads.

• Adds a new VLMMetricsLogger class for logging application lifecycle events and VLM performance metrics to rotating log files
• Updates the metrics consolidation script to parse and extract statistics from VLM application and performance log files
• Changes the Trivy security scan workflow to output results as a table artifact instead of uploading to GitHub Security tab

Reviewed changes

Copilot reviewed 4 out of 4 changed files in this pull request and generated 2 comments.

File	Description
benchmark-scripts/vlm_metrics_logger.py	Implements the core VLM metrics logging functionality with separate loggers for application events and performance metrics
benchmark-scripts/setup.py	Adds setuptools configuration for the vlm_metrics package
benchmark-scripts/consolidate_multiple_run_of_metrics.py	Adds two new extractors to parse VLM application metrics and performance metrics from log files
.github/workflows/trivyimagescan.yaml	Modifies Trivy scan to generate table format output as an artifact instead of SARIF format for security tab

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