feat: dev downmerge, updated for existing AI Foundry in Bicep & scripts#503
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Avijit-Microsoft merged 45 commits intoai-exisitingaiprojectfrom Jul 15, 2025
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…n-solution-accelerator into psl-aisearchtool-dev
…ated response format.
…on-solution-accelerator into psl-aisearchtool-dev
…n-solution-accelerator into psl-aisearchtool-dev
docs: removed duplicate parameter
feat: AI Search Tool implementation changes
docs: added required azd version in azure.yml file and updated DeploymentGuide.md file
chore: Azd changes Dev to Main
fix: updated the gpt model name in readme file
…raising the PR to main
feat: Added templateName tag on rg
ci: added workflow for telemetry template check in azure.yaml file while raising the PR to main
…meter-error fix: update GPT model capacity and fix aiDeploymentsLocation issue
…n-solution-accelerator into rc-aiexisting-project
Avijit-Microsoft
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Jul 15, 2025
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🎉 This PR is included in version 1.6.0 🎉 The release is available on GitHub release Your semantic-release bot 📦🚀 |
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Purpose
This pull request introduces several updates across workflow configurations, documentation, and infrastructure deployment scripts. The changes primarily focus on improving deployment flexibility, enhancing documentation, and aligning configurations with updated dependencies. Below is a categorized summary of the most significant changes:
Workflow Configuration Updates
.github/workflows/deploy.ymlto optimize resource allocation (GPT_MIN_CAPACITYreduced to 150,TEXT_EMBEDDING_MIN_CAPACITYincreased to 80).aiDeploymentsLocationand capturingAI_SEARCH_SERVICE_NAMEin deployment workflows. [1] [2].github/workflows/telemetry-template-check.ymlto validate the presence of a required telemetry template line inazure.yaml.Documentation Enhancements
docs/DeploymentGuide.mdto reflect new Azure Developer CLI version requirements (v1.15.0+) and additional parameters for sample data processing scripts. [1] [2]docs/QuotaCheck.mdto align default model capacities and supported regions with updated configurations. [1] [2]docs/README_LOCAL.md. [1] [2]Infrastructure Deployment Improvements
infra/deploy_ai_foundry.bicepwith support for existing AI Foundry resources and added system-assigned identities foraiSearchresources. [1] [2]infra/deploy_ai_foundry.bicepto includeaiSearchConnectionNameandaiFoundryRgName. [1] [2]infra/deploy_app_service.bicepby removing unused fields likeAzureSearchKeyanduseAiFoundrySdk. [1] [2]Code Quality and Linting
.github/workflows/pylint.ymlto exclude test files from linting withflake8.These changes collectively improve the maintainability, clarity, and efficiency of the deployment pipeline and associated documentation.
Does this introduce a breaking change?
Golden Path Validation
Deployment Validation
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