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…, and update model configuration
chore: Update Owners ID for Vinay and Prajwal
…rce from container registry module
…-vs7 feat: add Azure Container Registry module, enhance deployment scripts and update model configuration.
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Pull request overview
This pull request updates the accelerator’s default GPT model configuration to gpt-5.1 (version 2025-11-13) and changes the container image flow to provision a dedicated Azure Container Registry (ACR) per deployment, with post-provision scripts to build/push images and update Container Apps accordingly.
Changes:
- Upgrade default GPT model references across infra, scripts, samples, and documentation (
gpt-4o→gpt-5.1, version →2025-11-13). - Introduce per-deployment ACR provisioning (new Bicep module) and switch Container Apps to start from a public placeholder image, then update to ACR images via new build/push scripts.
- Remove static container registry endpoint parameters from infra parameter files and update deployment/quota documentation.
Reviewed changes
Copilot reviewed 16 out of 16 changed files in this pull request and generated 4 comments.
Show a summary per file
| File | Description |
|---|---|
| src/backend/.env.sample | Updates sample agent model deployment names to gpt-5.1. |
| scripts/quota_check_params.sh | Updates default quota-check model/capacity to gpt-5.1:150. |
| scripts/checkquota.sh | Updates quota check model key to OpenAI.GlobalStandard.gpt-5.1. |
| scripts/build_and_push_images.sh | Adds Bash post-provision script to build/push images to the per-deployment ACR and update Container Apps. |
| scripts/build_and_push_images.ps1 | Adds PowerShell post-provision script to build/push images to the per-deployment ACR and update Container Apps. |
| infra/modules/containerRegistry.bicep | Adds a reusable module to deploy ACR (+ optional private endpoint + role assignments). |
| infra/main.waf.parameters.json | Removes the now-obsolete containerRegistryEndpoint parameter. |
| infra/main.parameters.json | Removes the now-obsolete containerRegistryEndpoint parameter. |
| infra/main.json | Regenerates ARM JSON reflecting ACR module, placeholder images, and new outputs. |
| infra/main.bicep | Provisions a dedicated ACR per deployment, configures Container Apps registry identity, uses a placeholder image, and exports ACR/app outputs for scripts. |
| infra/main_custom.bicep | Updates default GPT model/version in the custom infra template. |
| docs/quota_check.md | Updates documentation examples to gpt-5.1. |
| docs/EXAMPLE-CustomizingAzdParameters.md | Updates model customization example to AZURE_ENV_GPT_MODEL_NAME gpt-5.1. |
| docs/DeploymentGuide.md | Adds a new “Build and Push Container Images” step and adjusts step numbering/duration. |
| docs/CustomizingAzdParameters.md | Updates default GPT model/version values and removes container registry endpoint parameter documentation. |
| docs/AzureGPTQuotaSettings.md | Updates quota guidance to reference GPT-5.1. |
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…tion for `azd up`
…s-vs fix: clarify deployment steps and expected duration in the Deployment Guide
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Purpose
This pull request updates the project to use the latest GPT-5.1 model and introduces a dedicated Azure Container Registry (ACR) for each deployment, along with improvements to documentation and deployment scripts. The most important changes are grouped below:
GPT Model Upgrade and Configuration
gpt-4otogpt-5.1throughout infrastructure templates (main.bicep,main_custom.bicep), parameter files, and documentation. The default model version is now2025-11-13. [1] [2] [3] [4] [5] [6] [7] [8] [9] [10] [11]gpt-5.1as the required/default model, including usage examples and quota recommendations. [1] [2] [3] [4]Container Registry and Image Build Process
main.bicep, with private networking support and required DNS configuration. [1] [2] [3]Deployment and Documentation Improvements
These changes ensure the project uses the latest GPT model, improves security and isolation by providing a dedicated container registry per deployment, and offers clearer deployment instructions.
Does this introduce a breaking change?
Golden Path Validation
Deployment Validation