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docs: add support for reusing existing AI Foundry resources via AZURE_EXISTING_AI_PROJECT_RESOURCE_ID #251
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* updated model capacity to minimum 100 * Add principalType 'ServicePrincipal' to role assignments in Bicep modules * update mainjson file * removed text embedding condition * add reuse guide for existing Azure AI Foundry project * remove redundant replica settings for container and API apps in deployment workflow * disable private networking in deployment parameters * normalize secondary location value to lowercase in deployment parameters * fix: correct casing for SOLUTION_NAME in deployment output extraction * refactor: remove unused SOLUTION_NAME output and related steps in deployment workflow * fix: prepend https to CONTAINER_WEB_APPURL in deployment output extraction --------- Co-authored-by: Priyanka-Microsoft <v-prisinghal@microsoft.com> Co-authored-by: Roopan-Microsoft <168007406+Roopan-Microsoft@users.noreply.github.com> Co-authored-by: Abdul-Microsoft <v-amujeebta@microsoft.com> Co-authored-by: Prasanjeet-Microsoft <v-singhprasa@microsoft.com> Co-authored-by: Vinay Sharma <v-vinayshar@microsoft.com>
* updated model capacity to minimum 100 * Add principalType 'ServicePrincipal' to role assignments in Bicep modules * update mainjson file * removed text embedding condition * add reuse guide for existing Azure AI Foundry project * remove redundant replica settings for container and API apps in deployment workflow * disable private networking in deployment parameters * normalize secondary location value to lowercase in deployment parameters * fix: correct casing for SOLUTION_NAME in deployment output extraction * refactor: remove unused SOLUTION_NAME output and related steps in deployment workflow * fix: prepend https to CONTAINER_WEB_APPURL in deployment output extraction --------- Co-authored-by: Priyanka-Microsoft <v-prisinghal@microsoft.com> Co-authored-by: Roopan-Microsoft <168007406+Roopan-Microsoft@users.noreply.github.com> Co-authored-by: Abdul-Microsoft <v-amujeebta@microsoft.com> Co-authored-by: Prasanjeet-Microsoft <v-singhprasa@microsoft.com> Co-authored-by: Vinay Sharma <v-vinayshar@microsoft.com>
…ect (#242) * updated model capacity to minimum 100 * Add principalType 'ServicePrincipal' to role assignments in Bicep modules * update mainjson file * removed text embedding condition * add reuse guide for existing Azure AI Foundry project * remove redundant replica settings for container and API apps in deployment workflow * disable private networking in deployment parameters * normalize secondary location value to lowercase in deployment parameters * fix: correct casing for SOLUTION_NAME in deployment output extraction * refactor: remove unused SOLUTION_NAME output and related steps in deployment workflow * fix: prepend https to CONTAINER_WEB_APPURL in deployment output extraction * fix: Disable Network configurations in case of resuing the foundry project --------- Co-authored-by: Priyanka-Microsoft <v-prisinghal@microsoft.com> Co-authored-by: Roopan-Microsoft <168007406+Roopan-Microsoft@users.noreply.github.com> Co-authored-by: Abdul-Microsoft <v-amujeebta@microsoft.com> Co-authored-by: Prasanjeet-Microsoft <v-singhprasa@microsoft.com> Co-authored-by: Vinay Sharma <v-vinayshar@microsoft.com>
chore: Down merge from main to dev
docs: add parameter AZURE_EXISTING_AI_PROJECT_RESOURCE_ID for reusing AI Foundry resources
Prajwal-Microsoft
approved these changes
Aug 25, 2025
|
🎉 This PR is included in version 1.10.0 🎉 The release is available on GitHub release Your semantic-release bot 📦🚀 |
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Purpose
This pull request updates the documentation to add support for reusing existing AI Foundry resources when customizing AZD parameters. The main change is the introduction of a new environment variable that allows users to specify an existing AI Project resource ID, improving resource management flexibility.
Resource reuse support:
AZURE_EXISTING_AI_PROJECT_RESOURCE_IDenvironment variable, enabling reuse of an existing AIFoundry and AIFoundryProject instead of provisioning new ones.Does this introduce a breaking change?
Golden Path Validation
Deployment Validation
What to Check
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