refactor: Merging the AVM Waf Standard changes to dev branch

[Roopan-Microsoft]

Purpose

• This pull request introduces significant improvements and refactoring to the Azure infrastructure deployment templates and workflows. The main focus is on standardizing parameter naming, improving modularity, and enhancing support for AI-related resources—especially Cognitive Services and AI Foundry projects. It also adds new Bicep modules to better manage AI deployments and projects, and updates the GitHub Actions workflows for more consistent and maintainable deployments.

Parameter and Workflow Standardization:

• Standardizes parameter names across deployment workflows and parameter files (e.g., solutionName, location, azureAiServiceLocation, gptModelDeploymentType) for consistency and clarity in both .github/workflows/deploy.yml and .github/workflows/deploy-waf.yml, as well as in infra/main.parameters.json. [1] [2] [3]

AI Resource Modularity and New Modules:

• Adds a new Bicep module ai-services-deployments.bicep to manage Cognitive Services account deployments, including support for batch deployments and role assignments.
• Adds a new Bicep module ai-project.bicep to provision and manage AI Foundry projects as sub-resources of Cognitive Services, with outputs for project name, resource ID, and API endpoint.

Parameter File Refactoring:

• Refactors infra/main.parameters.json to remove legacy/unused parameters, align with new naming conventions, and add new parameters for backend/frontend container image tags and AI Foundry project resource IDs. [1] [2] [3]
• Introduces infra/main.waf.parameters.json for WAF-aligned deployments, mirroring the new standardized parameter structure.

Feature Enablement and Security:

• Adds new parameters and enables features such as telemetry, monitoring, private networking, and scalability by default in WAF deployments. [1] [2]

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Most Important Changes:

Parameter and Workflow Standardization

• Standardized parameter names in deployment workflows and parameter files for consistency (e.g., solutionName, location, azureAiServiceLocation, gptModelDeploymentType) and removed deprecated/unused parameters. [1] [2] [3]

AI Resource Modularity

• Added new Bicep module infra/modules/ai-services-deployments.bicep to manage Cognitive Services deployments and role assignments, supporting batch deployment and role mapping.
• Added new Bicep module infra/modules/ai-project.bicep for provisioning AI Foundry projects under Cognitive Services, with outputs for integration.

Parameter File Refactoring

• Refactored infra/main.parameters.json to align with new conventions, remove legacy parameters, and add support for backend/frontend image tags and AI Foundry project resource IDs. [1] [2] [3]
• Introduced infra/main.waf.parameters.json for WAF deployments, using the new standardized parameter structure.

Feature Enablement

• Enabled telemetry, monitoring, private networking, and scalability by default in WAF deployment workflows and parameter files. [1] [2]

Does this introduce a breaking change?

• Yes
• No

How to Test

• Get the code

git clone [repo-address]
cd [repo-name]
git checkout [branch-name]
npm install

• Test the code

What to Check

Verify that the following are valid

• ...

Other Information

[github-actions]

🎉 This PR is included in version 2.2.0 🎉

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