AI AzureOpenAI

AI AzureOpenAI

Certified

Use Azure OpenAI deployments

Targets Azure-hosted OpenAI models via the resource endpoint and deployment name. Supports API key or AAD client credentials; set apiVersion when required by the deployment.

yaml
type: io.kestra.plugin.ai.provider.AzureOpenAI

Chat completion with Azure OpenAI

yaml
id: chat_completion
namespace: company.ai

inputs:
  - id: prompt
    type: STRING

tasks:
  - id: chat_completion
    type: io.kestra.plugin.ai.completion.ChatCompletion
    provider:
      type: io.kestra.plugin.ai.provider.AzureOpenAI
      apiKey: "{{ secret('AZURE_API_KEY') }}"
      endpoint: https://your-resource.openai.azure.com/
      modelName: anthropic.claude-3-sonnet-20240229-v1:0
    messages:
      - type: SYSTEM
        content: You are a helpful assistant, answer concisely, avoid overly casual language or unnecessary verbosity.
      - type: USER
        content: "{{ inputs.prompt }}"
Properties

API endpoint

The Azure OpenAI endpoint in the format: https://{resource}.openai.azure.com/

Model name

API Key

Base URL

Custom base URL to override the default endpoint (useful for local tests, WireMock, or enterprise gateways).

CA PEM certificate content

CA certificate as text, used to verify SSL/TLS connections when using custom endpoints.

Client ID

Client PEM certificate content

PEM client certificate as text, used to authenticate the connection to enterprise AI endpoints.

Client secret

API version

Tenant ID

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