Update fine-tuning test recordings with ID sanitizers

[jayesh-tanna]

Description

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• The pull request does not introduce [breaking changes]
• CHANGELOG is updated for new features, bug fixes or other significant changes.
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Testing Guidelines

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[Copilot]

Pull request overview

This pull request enables test recording for fine-tuning tests by adding support for HTTP call recording/playback, migrating environment variable access to the test framework's kwargs pattern, and adding sanitizers for sensitive data. The changes allow these tests to be recorded and replayed without requiring live Azure resources.

Key Changes

• Added RecordedTransport parameters to recording decorators to capture both Azure Core and HTTPX transport calls
• Migrated from direct os.getenv() calls to kwargs-based parameter access via the servicePreparer fixture
• Added sanitizers for fine-tuning job IDs, file IDs, checkpoint IDs, and CSV content-type headers in test recordings

Reviewed changes

Copilot reviewed 4 out of 4 changed files in this pull request and generated 7 comments.

File	Description
sdk/ai/azure-ai-projects/tests/test_base.py	Added new test parameter definitions for fine-tuning job IDs, subscription ID, and resource group to support recorded test playback
sdk/ai/azure-ai-projects/tests/finetuning/test_finetuning_async.py	Updated async tests to support recording with RecordedTransport parameters (inconsistently applied), migrated from environment variables to kwargs, corrected print statement prefixes, and updated status assertions for pause/resume operations
sdk/ai/azure-ai-projects/tests/finetuning/test_finetuning.py	Updated sync tests with similar recording support (missing RecordedTransport on one test), migrated to kwargs pattern, corrected print statements, and updated status assertions
sdk/ai/azure-ai-projects/tests/conftest.py	Added regex sanitizers for fine-tuning job IDs, file IDs, checkpoint IDs, and normalized CSV content-type headers for consistent test recordings across platforms