Sample code for the Foundry failure with audio to audio generation from ScoreModelGrader

[YusakuNo1]

Sample code for the Foundry failure with audio to audio generation from ScoreModelGrader. The sample code compares the success case in file sample_evaluations_score_model_grader_with_audio.special_case_audio_to_audio.openai.py and the failure case in file sample_evaluations_score_model_grader_with_audio.special_case_audio_to_audio.foundry.py

Description

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• The pull request does not introduce [breaking changes]
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Testing Guidelines

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[Copilot]

Pull request overview

This pull request adds sample code demonstrating audio-to-audio generation evaluation using OpenAI's ScoreModelGrader. The PR includes two sample files comparing a successful implementation using direct OpenAI client with a Foundry implementation that encounters failures.

Changes:

• Added OpenAI-based audio evaluation sample that successfully demonstrates audio-to-audio generation scoring
• Added Foundry-based audio evaluation sample showing the failure case with the same functionality
• Added environment configuration sample file with necessary Azure AI and OpenAI endpoint settings

Reviewed changes

Copilot reviewed 3 out of 3 changed files in this pull request and generated 4 comments.

File	Description
sample_evaluations_score_model_grader_with_audio.special_case_audio_to_audio.openai.py	OpenAI client-based sample demonstrating successful audio-to-audio evaluation with ScoreModelGrader
sample_evaluations_score_model_grader_with_audio.special_case_audio_to_audio.foundry.py	Foundry/AIProjectClient-based sample showing the failure case with the same audio evaluation scenario
.env_sample	Environment configuration file with Azure AI and OpenAI endpoint settings

[Copilot]

The file contains a large amount of embedded base64-encoded audio data (approximately 200 lines) which makes the file very long and difficult to maintain. Consider moving this sample data to an external file (e.g., a .wav file or a separate data file) and reading it at runtime. This would improve code readability and make it easier to update or replace the sample audio data.

[Copilot]

The docstring indicates this is a sample for OpenAI usage, but it uses Azure AI Projects client and Azure OpenAI endpoint. This might be confusing. Consider clarifying that this demonstrates using the OpenAI SDK with Azure AI Projects, or ensuring the naming is consistent with the actual implementation pattern.

Suggested change

	`openai.evals.*` methods to create, get and list evaluation and eval runs.
	The OpenAI official tutorial is here: https://cookbook.openai.com/examples/evaluation/use-cases/evalsapi_audio_inputs
	USAGE:
	python sample_evaluations_score_model_grader_with_audio.py
	`openai.evals.*` methods from the OpenAI Python SDK together with Azure AI Projects
	and an Azure OpenAI endpoint to create, get, and list evaluations and eval runs.
	This sample is adapted from the OpenAI official tutorial on audio inputs for evals:
	https://cookbook.openai.com/examples/evaluation/use-cases/evalsapi_audio_inputs
	USAGE:
	python sample_evaluations_score_model_grader_with_audio.special_case_audio_to_audio.openai.py

[Copilot]

The sample file defines a function 'run()' but then calls it at the module level. This pattern is inconsistent with other samples in the directory which typically use a main execution pattern with 'if name == "main":' guard or use context managers directly at the module level. Consider aligning with the patterns used in other samples for consistency.

[Copilot]

The .env_sample file contains hardcoded URL values that appear to be specific to a development environment (e.g., "daviwu-ord-sc-resource"). Sample environment files should use placeholder values like "your-resource-name" or "example" instead of actual resource names to avoid confusion and potential security issues.

Suggested change

	AZURE_AI_PROJECT_URL="https://daviwu-ord-sc-resource.services.ai.azure.com/api/projects/daviwu-ord-sc/"
	AZURE_OPENAI_ENDPOINT="https://daviwu-ord-sc-resource.openai.azure.com/"
	AZURE_AI_PROJECT_URL="https://your-resource-name.services.ai.azure.com/api/projects/your-project-name/"
	AZURE_OPENAI_ENDPOINT="https://your-resource-name.openai.azure.com/"