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azure-ai-projects-py

Manage Azure Foundry AI agents and project resources with the azure-ai-projects Python SDK.

Updated Apr 12, 2026
Search Tags:#python#azure#agent#evaluations#foundry#deployments#azure-ai-projects
One-click install
npx skills add https://github.com/davidrrowley/CortexYouV3 --skill azure-ai-projects-py-davidrrowley
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: azure-ai-projects-py
Source: https://github.com/davidrrowley/CortexYouV3/tree/main/.agents/skills/azure-ai-projects-py
Command: npx skills add https://github.com/davidrrowley/CortexYouV3 --skill azure-ai-projects-py-davidrrowley

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

Manage and orchestrate Azure Foundry project-level AI resources programmatically to avoid manual, error-prone workflows and speed agent development and evaluation.

Core Features & Use Cases

  • Agent lifecycle management: Create, version, list, and delete PromptAgentDefinition and hosted agents.
  • Evaluations and grading: Run batch and built-in/custom evaluations using an OpenAI-compatible client and cloud evals.
  • Project integrations: Manage connections, deployments, datasets, indexes, memory stores, and tool integrations (Code Interpreter, File Search, Azure AI Search, Bing).
  • Use Case: Create a versioned customer-support agent that uses file search and function tools, run evaluation suites against recorded conversations, and iterate on versions based on evaluator metrics.

Quick Start

Create a project client, list available deployments, and create a versioned PromptAgentDefinition named "support-agent" for immediate testing.

Frequently Asked Questions about azure-ai-projects-py

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

FAQPage Schema
How do I manage Azure Foundry agents programmatically using Python?▼

You can manage Azure Foundry agents programmatically using the azure-ai-projects Python SDK to create, version, list, and delete PromptAgentDefinition and hosted agents. Use the AIProjectClient to handle both synchronous and asynchronous operations for your project workflows.

Does the azure-ai-projects SDK support running batch evaluations against recorded conversations?▼

Yes, the azure-ai-projects SDK supports running batch and built-in or custom evaluations against recorded conversations. It uses an OpenAI-compatible evaluation client and cloud evals to help you iterate on agent versions based on evaluator metrics.

Can I use Azure AI Search and Bing grounding with Azure Foundry agents?▼

Yes, Azure Foundry agents built with the azure-ai-projects SDK support tool integrations including Azure AI Search and Bing grounding. You can also use CodeInterpreterTool and FileSearchTool to enhance your agent's capabilities.

What's the best way to create a versioned customer-support agent in Azure Foundry?▼

The best way to create a versioned customer-support agent is using the azure-ai-projects SDK to define a PromptAgentDefinition. You can integrate file search and function tools, then run evaluation suites to iterate based on evaluator metrics.

Do I need azure-identity and openai packages to build Foundry AI apps?▼

Yes, you need azure-identity and openai packages as dependencies to build Foundry AI apps. The azure-ai-projects SDK relies on azure-identity for authentication and the openai package for evaluation client compatibility.

Can I manage datasets and indexes within Azure Foundry project workflows?▼

Yes, you can manage datasets and indexes within Azure Foundry project workflows using the AIProjectClient. The SDK also supports managing connections, deployments, and memory stores to orchestrate project-level AI resources programmatically.

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