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This pull request introduces several improvements and additions to the repository, focusing on enhanced automation reporting, expanded deployment configuration options, and new resources for VS Code Web integration. The most significant changes include a new E2E test summary in the CI workflow, support for specifying Azure Container Registry and OpenAI location parameters, and the addition of a comprehensive VS Code Web sample environment with code, documentation, and dependencies.

CI/CD and Automation Enhancements

  • Added a detailed E2E Test Summary step to the GitHub Actions workflow (.github/workflows/test-automation.yml), which generates a markdown summary of test results, including job status, URLs, and per-attempt details. Also, exposes test success and report URL as workflow outputs for downstream use. [1] [2] [3]

Deployment Parameter Expansion

  • Introduced new deployment parameters for Azure Container Registry name (AZURE_ENV_ACR_NAME) and OpenAI resource location (AZURE_ENV_OPENAI_LOCATION) in documentation and template files, allowing more flexible and region-specific deployments. [1] [2] [3]

VS Code Web Sample Environment

  • Added a new infra/vscode_web directory containing sample Python code for Azure AI Projects SDK, environment files, installation scripts, dependency lists, and supporting documentation for running and deploying AI Foundry templates directly in VS Code Web. [1] [2] [3] [4] [5] [6] [7] [8] [9]

Role Assignment Improvements

  • Updated the infra/scripts/run_create_index_scripts.sh script to automatically assign the Cognitive Services OpenAI User role to the signed-in user if not already present, streamlining setup for AI resource access.

Documentation and Ownership Updates

  • Enhanced the main README.md with a responsible AI disclaimer and added a new launch badge for opening the solution in Visual Studio Code Web. Also, updated .github/CODEOWNERS to include an additional owner for repository-wide coverage. [1] [2] [3]## Purpose
  • ...

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

  • I have built and tested the code locally and in a deployed app
  • For frontend changes, I have pulled the latest code from main, built the frontend, and committed all static files.
  • This is a change for all users of this app. No code or asset is specific to my use case or my organization.

Other Information

Roopan-Microsoft and others added 28 commits November 10, 2025 10:47
fix: merge from dev changes to main
feat: Added Deploy-v2 pipeline with manual dispatch and input parameter support
Added a disclaimer regarding AI solutions and associated risks.
docs: Added disclaimer in README.md
Removed disclaimer about AI solutions and associated risks.
docs: update README by removing compliance disclaimer section
Added a disclaimer regarding AI solutions and associated risks.
docs: add AI solution disclaimer
chore: added AZURE_DEV_COLLECT_TELEMETRY environment variable to pipeline
fix: Merging dev to main branch
@Prajwal-Microsoft Prajwal-Microsoft merged commit 71604db into dev Nov 28, 2025
35 of 36 checks passed
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9 participants