# Foundry Deployments

> Query model deployments, connections, and indexes in the Foundry project. Discover available models and infrastructure.

- Skill: `azure/foundry-deployments` (Agent Skill)
- Install (CLI): `npx skillmds@latest add azure/foundry-deployments`
- Raw SKILL.md: https://api.skillmd.com/api/skills/azure/foundry-deployments/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- Author: Azure (https://skillmd.com/u/azure)
- Updated: 2026-09-21
- Page: https://skillmd.com/skills/azure/foundry-deployments

---


# Foundry Infrastructure — Deployments, Connections & Indexes

You can query the Foundry project infrastructure to discover available model deployments, data connections, knowledge indexes, and datasets.

## Endpoint

All requests: `http://localhost:8443` with `?api-version=2025-11-15-preview`. Auth is automatic.

## Operations

### List model deployments

```bash
curl -s 'http://localhost:8443/deployments?api-version=2025-11-15-preview'
```

Returns all deployed models with name, publisher, version, SKU, and capabilities.

### List connections

```bash
curl -s 'http://localhost:8443/connections?api-version=2025-11-15-preview'
```

Returns project connections (Azure AI Search, Bing, storage, etc.) with type and target URL.

### List knowledge indexes

```bash
curl -s 'http://localhost:8443/indexes?api-version=2025-11-15-preview'
```

Returns available search indexes (Azure AI Search, Cosmos DB) for RAG scenarios.

### List datasets

```bash
curl -s 'http://localhost:8443/datasets?api-version=2025-11-15-preview'
```

Returns datasets used for evaluation, fine-tuning, or agent training.

### Get insights

```bash
curl -s 'http://localhost:8443/insights?api-version=2025-11-15-preview'
```

Returns evaluation insights and cluster analysis results.

## When to use

- Discovering which models are available: "what models can I use?"
- Checking infrastructure: "what connections are configured?"
- Finding knowledge bases: "what indexes exist for search?"
- Listing datasets for evaluation or fine-tuning

## When NOT to use

- For running inference (use /v1/chat/completions)
- For creating resources (that requires Azure Portal or Bicep)