fix: update model capacity similar to bicep

[Priyanka-Microsoft]

Purpose

• ...
  This pull request adjusts the default capacity values for GPT models and text embeddings across multiple files to align with updated requirements. These changes ensure consistency in capacity settings in workflows, documentation, and scripts.

Updates to capacity values:

• .github/workflows/deploy-KMGeneric.yml: Updated GPT_MIN_CAPACITY from 250 to 150 and TEXT_EMBEDDING_MIN_CAPACITY from 90 to 80 in the workflow environment variables and job exports. This ensures the workflow uses the updated capacity values dynamically. [1] [2]
• documents/QuotaCheck.md: Updated default capacity values for models (gpt-4o, gpt-4o-mini, gpt-4) from 30 to 150 while keeping text-embedding-ada-002 at 80. These changes reflect the new capacity requirements in the documentation. [1] [2]
• infra/scripts/quota_check_params.sh: Adjusted the DEFAULT_MODEL_CAPACITY values for gpt-4o, gpt-4o-mini, and gpt-4 from 30 to 150, ensuring the script aligns with the updated capacity defaults.

Does this introduce a breaking change?

• Yes
• No

Golden Path Validation

• I have tested the primary workflows (the "golden path") to ensure they function correctly without errors.

Deployment Validation

• I have validated the deployment process successfully and all services are running as expected with this change.

What to Check

Verify that the following are valid

• ...

Other Information

[github-actions]

🎉 This PR is included in version 3.11.2 🎉

The release is available on GitHub release

Your semantic-release bot 📦🚀