Azure AI Foundry Agents Samples is a collection of ready-to-use code examples demonstrating how to build, deploy, and run intelligent agents on Azure. It covers memory management, planning, multimodal capabilities, and integration with Azure AI services to enable chatbots, tool-enabled assistants, and custom workflows.
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Azure AI Foundry Agents Samples
Azure AI Foundry Agents Samples is a collection of ready-to-use code examples demonstrating how to build, deploy, and run intelligent agents on Azure. It covers memory management, planning, multimodal capabilities, and integration with Azure AI services to enable chatbots, tool-enabled assistants, and custom workflows.
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What is Azure AI Foundry Agents Samples?
Azure AI Foundry Agents Samples provides developers with a rich set of example scenarios that illustrate how to leverage Azure AI Foundry SDKs and services. It includes conversational agents with long-term memory, planner agents that break down complex tasks, tool-enabled agents that call external APIs, and multimodal agents combining text, vision, and speech. Each sample is preconfigured with environment setups, LLM orchestration, vector search, and telemetry to accelerate prototyping and deployment of robust AI solutions on Azure.
Who will use Azure AI Foundry Agents Samples?
- Software developers
- AI engineers
- Data scientists
- Solution architects
- Enterprises building intelligent assistants
How to use the Azure AI Foundry Agents Samples?
- Step1: Clone the GitHub repository.
- Step2: Install prerequisites (Python, Node.js, Azure CLI).
- Step3: Configure Azure credentials and resource names in .env.
- Step4: Run npm install or pip install to fetch dependencies.
- Step5: Choose and customize a sample scenario folder.
- Step6: Update environment variables for OpenAI, Cognitive Search, and Storage.
- Step7: Execute the sample script or web app to launch the agent.
- Step8: Monitor logs and telemetry in Azure Portal.
- Step9: Extend prompts, tools, or memory stores for your use case.
- Step10: Deploy to Azure Container Instances or App Service for production.
Platform
- Web
- Linux
- Mac
- Windows
Azure AI Foundry Agents Samples's Core Features & Benefits
The Core Features
- Conversational agents with long-term memory
- Automated task planning and execution
- Integration with Azure OpenAI, Cognitive Search, Vision, and Speech
- Tool chaining and external API calls
- Multimodal capabilities combining text, image, and speech
- Built-in telemetry and logging examples
The Benefits
- Accelerates AI agent development
- Demonstrates best practices and patterns
- Pre-configured environment setups
- Highly customizable for any workflow
- Scalable and production-ready templates
Azure AI Foundry Agents Samples's Main Use Cases & Applications
- Customer support chatbots with context retention
- Document summarization and Q&A assistants
- E-commerce recommendation and shopping agents
- Personalized tutoring and training bots
- Monitoring and alerting automation agents
FAQs of Azure AI Foundry Agents Samples
Azure AI Foundry Agents Samples Company Information
- Website:
- Company Name: Microsoft
- Support Email:
- Facebook:
- X(Twitter):
- YouTube:
- Instagram:
- Tiktok:
- LinkedIn:
Azure AI Foundry Agents Samples Reviews
5/5
Azure AI Foundry Agents Samples's Main Competitors and alternatives?
LangChain Agents
Microsoft Semantic Kernel
Rasa
Botpress
Agentic
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