| name | foundry-deployments |
| description | Query model deployments, connections, and indexes in the Foundry project. Discover available models and infrastructure. |
| metadata | {"openclaw":{"requires":{"env":["FOUNDRY_PROJECT_ENDPOINT"]},"primaryEnv":"FOUNDRY_PROJECT_ENDPOINT"}} |
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
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
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
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
curl -s 'http://localhost:8443/datasets?api-version=2025-11-15-preview'
Returns datasets used for evaluation, fine-tuning, or agent training.
Get insights
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)
