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#55th of 7 in Cloud reference architectures

get-started-with-ai-agents

Azure azd template for a Foundry agent chat app with file search

Repository on GitHub ↗ (opens in a new tab)
Stars
374
License
MIT
Last commit
Oct 2026
Language
Bicep

Overview

Deploys a web chat app on Azure Container Apps backed by a Microsoft Foundry Agent Service agent. The agent answers from uploaded files using file search or optional Azure AI Search and returns citations. Tracing goes to Application Insights, and the repo includes Pytest-based agent evaluation and red-teaming scans.

Who it is for: Azure developers who want a deployable Foundry agent reference app

Strengths

  • Single `azd up` provisions Foundry project, model, Container App, storage and monitoring
  • Tracing via Application Insights and Azure Monitor included
  • Pytest agent evaluation and AI Red Teaming scans included
  • Managed Identity used for deployment and local development

Weaknesses

  • Requires an Azure subscription and Foundry model quota; no non-Azure path
  • README warns the code is a showcase, not production-ready without extra security
  • Costs are usage-based and the README gives no estimate
  • Deployment takes 7–15 minutes with `azd up`; teardown up to 20

What it needs

  • Bicep, gpt-5-mini (default), other Azure AI models configurable
  • Needs Microsoft Foundry, Foundry Agent Service, Azure Container Apps, Azure Container Registry, Azure Storage, Azure AI Search (optional), Application Insights (optional), Log Analytics (optional)

Also in Cloud reference architectures

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3azurechatPrivate enterprise chat on Azure OpenAI with document chat and personas1.4k stars, MIT42 out of 100
#4openai-chat-app-quickstartMinimal Quart chat app on Azure OpenAI with managed identity254 stars, MIT40 out of 100
#6serverless-rag-demoAWS CDK sample for document RAG chat and multi-agent workflows on Bedrock223 stars, MIT-033 out of 100