Azure OpenAI

let azure = AzureOpenAIProvider(
  resourceName: "my-resource",   // or AZURE_RESOURCE_NAME
  apiVersion: "v1"
)
let model = azure("my-gpt5-deployment")

Key from AZURE_API_KEY (sent as the api-key header). The deployment name doubles as the model body field, exactly like the AI SDK.

Features

Everything the OpenAI chat wire supports — tools, structured output, vision, reasoning models, cached-token usage — routed at your Azure resource.

• apiVersion: sets the api-version query parameter (default "v1").
• useDeploymentBasedUrls: true switches to the legacy /deployments/{deployment} path shape for older resources.
• baseURL: overrides the host entirely for gateways in front of Azure.

Models

Azure model ids are your deployment names — deploy any current OpenAI model (the gpt-5.6 family, gpt-5.5, gpt-image-2, embeddings) in the Azure portal and address it by whatever you named the deployment. The OpenAI page has the current lineup.

Embeddings

The provider vends embedding deployments the same way:

let embeddings = azure.textEmbeddingModel("my-embedding-deployment")
let result = try await embed(model: embeddings, value: "hello")