AI WatsonxAI

AI WatsonxAI

Certified

Use IBM watsonx.ai models

Calls IBM watsonx.ai chat/embedding endpoints with API key and project ID. Ensure the selected model ID is available in the configured project.

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

Chat completion with Watsonx AI

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.WatsonxAI
      apiKey: "{{ secret('WATSONX_API_KEY') }}"
      projectId: "{{ secret('WATSONX_PROJECT_ID') }}"
      modelName: ibm/granite-3-3-8b-instruct
      baseUrl : "https://api.eu-de.dataplatform.cloud.ibm.com/wx"
    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 Key

Model name

Project Id

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 PEM certificate content

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

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