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agents-v2-py

Define and deploy container-based hosted agents for Azure AI Projects using the Azure AI Projects SDK.

10|2|Updated Mar 10, 2026
Search Tags:#deployment#sdk#agents#docker#container#azure ai
One-click install
npx skills add https://github.com/bugrabilge/bilge-development-kit --skill agents-v2-py-bugrabilge
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: agents-v2-py
Source: https://github.com/bugrabilge/bilge-development-kit/tree/main/skills-extra/agents-v2-py
Command: npx skills add https://github.com/bugrabilge/bilge-development-kit --skill agents-v2-py-bugrabilge

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires azure-ai-projects, azure-identity, and includes references (resource) components.

What problem does it solve?

This Skill simplifies the creation and management of container-based hosted agents within Azure AI Projects, enabling developers to deploy custom agent logic using container images.

Core Features & Use Cases

  • Containerized Agents: Define and deploy agents using custom Docker container images.
  • Resource Management: Specify CPU and memory allocations for hosted agents.
  • Tool Integration: Configure agents with tools like code interpreters and file search.
  • Use Case: Deploy a specialized data processing agent as a containerized service within Azure AI Projects, accessible via the SDK for automated data transformation tasks.

Quick Start

Use the agents-v2-py skill to create a new hosted agent with the specified container image and protocol versions.

Frequently Asked Questions about agents-v2-py

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I deploy a container-based Azure AI Agent using a custom Docker image?▼

You can deploy container-based Azure AI Agents by defining agent configurations with your custom Docker container image, CPU and memory allocations, and protocol versions, then using the Azure AI Projects SDK to host the agent logic.

What are containerized hosted agents in Azure AI Projects?▼

Containerized hosted agents in Azure AI Projects are custom agent logic deployments packaged as Docker container images, configured with specific CPU and memory resource allocations, and managed through the Azure AI Projects SDK.

Can I configure CPU and memory resource allocation for my Azure AI hosted agents?▼

Yes, you can specify CPU and memory allocations for your Azure AI hosted agents when defining the agent configuration, allowing you to manage compute resources for your containerized agent logic effectively.

Does this approach support integrating code interpreters and file search tools with containerized agents?▼

Yes, the container-based Azure AI Agents support tool integration, allowing you to configure agents with tools like code interpreters and file search alongside your custom Docker container image deployment.

Do I need Azure Container Registry to manage images for Azure AI container agents?▼

Yes, you need Azure Container Registry for image hosting and management when building container-based Azure AI Agents, as it integrates directly with the Azure AI Projects SDK to store and retrieve your custom Docker images.

Why use container-based hosted agents instead of standard Azure AI agent configurations?▼

Container-based hosted agents allow you to deploy specialized custom agent logic using Docker container images with defined resource allocations, offering more control over the execution environment compared to standard Azure AI agent configurations.

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