azure-ai-projects-pylisted

Build AI applications using the Azure AI Projects Python SDK (azure-ai-projects). Use when working with Foundry project clients, creating versioned agents with PromptAgentDefinition, running evaluations, managing connections/deployments/datasets/indexes, or using OpenAI-compatible clients. This is the high-level Foundry SDK - for low-level agent operations, use azure-ai-agents-python skill.
aiskillstore/marketplace · ★ 329 · AI & Automation · score 82

Install: claude install-skill aiskillstore/marketplace

# Azure AI Projects Python SDK (Foundry SDK) Build AI applications on Microsoft Foundry using the `azure-ai-projects` SDK. ## Installation ```bash pip install azure-ai-projects azure-identity ``` ## Environment Variables ```bash AZURE_AI_PROJECT_ENDPOINT="https://<resource>.services.ai.azure.com/api/projects/<project>" AZURE_AI_MODEL_DEPLOYMENT_NAME="gpt-4o-mini" ``` ## Authentication ```python import os from azure.identity import DefaultAzureCredential from azure.ai.projects import AIProjectClient credential = DefaultAzureCredential() client = AIProjectClient( endpoint=os.environ["AZURE_AI_PROJECT_ENDPOINT"], credential=credential, ) ``` ## Client Operations Overview | Operation | Access | Purpose | |-----------|--------|---------| | `client.agents` | `.agents.*` | Agent CRUD, versions, threads, runs | | `client.connections` | `.connections.*` | List/get project connections | | `client.deployments` | `.deployments.*` | List model deployments | | `client.datasets` | `.datasets.*` | Dataset management | | `client.indexes` | `.indexes.*` | Index management | | `client.evaluations` | `.evaluations.*` | Run evaluations | | `client.red_teams` | `.red_teams.*` | Red team operations | ## Two Client Approaches ### 1. AIProjectClient (Native Foundry) ```python from azure.ai.projects import AIProjectClient client = AIProjectClient( endpoint=os.environ["AZURE_AI_PROJECT_ENDPOINT"], credential=DefaultAzureCredential(), ) # Use Foundry-native operations agen