Technical & DevelopmentIntermediate
azure-ai-projects-dotnet
AI Foundry project management SDK
Developer Setup
Setup & Installation
bash
npx skills add https://github.com/microsoft/skills --skill azure-ai-projects-dotnetnpx skills add https://github.com/microsoft/skills --skill azure-ai-projects-dotnetOr paste this URL into your assistant to install:
Overview
What This Skill Does
Azure.AI.Projects is the .NET SDK for Azure AI Foundry, providing a unified client for managing agents, connections, datasets, deployments, evaluations, and indexes within an AI Foundry project. It supports both high-level versioned agents and low-level persistent agent operations.
Application
When to use this Skill
- Configuring integration settings for custom agent workflows.
- Optimizing query execution and response latency in production.
- Developing clean, standard-compliant implementations for enterprise services.
- Troubleshooting connection timeouts and authentication handshakes.
- Monitoring API rate limits and execution pipelines programmatically.
Documentation
Show Skills.md file
Azure.AI.Projects (.NET)
High-level SDK for Azure AI Foundry project operations including agents, connections, datasets, deployments, evaluations, and indexes.
Installation
dotnet add package Azure.AI.Projects
dotnet add package Azure.Identity
# Optional: For versioned agents with OpenAI extensions
dotnet add package Azure.AI.Projects.OpenAI --prerelease
# Optional: For low-level agent operations
dotnet add package Azure.AI.Agents.Persistent --prerelease
Current Versions: GA v1.1.0, Preview v1.2.0-beta.5
Environment Variables
PROJECT_ENDPOINT=https://<resource>.services.ai.azure.com/api/projects/<project> # Required: Azure AI project endpoint
MODEL_DEPLOYMENT_NAME=gpt-4o-mini # Required: model deployment name
CONNECTION_NAME=<your-connection-name> # Optional: project connection name
AI_SEARCH_CONNECTION_NAME=<ai-search-connection> # Optional: Azure AI Search connection name
AZURE_TOKEN_CREDENTIALS=prod # Required only if DefaultAzureCredential is used in production
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