AI WatsonxAI
CertifiedUse IBM watsonx.ai models
AI WatsonxAI
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.
type: io.kestra.plugin.ai.provider.WatsonxAIExamples
Chat completion with Watsonx AI
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
apiKey *string
API Key
IBM Cloud API key used to authenticate against watsonx.ai. Store it as a Kestra secret rather than inline. No default: this property is required.
projectId *string
Project ID
Identifier of the watsonx.ai project the model runs under. No default: this property is required.
baseUrl string
Base URL
Custom base URL overriding the provider's default endpoint. Useful for enterprise gateways, proxies, self-hosted deployments, or test doubles such as WireMock. Defaults to the provider's public endpoint.
caPem string
CA PEM certificate content
PEM-encoded certificate authority chain, as text, used to verify the TLS certificate presented by a custom endpoint. Not set by default, in which case the JVM's default trust store is used.
clientPem string
Client PEM certificate content
PEM-encoded client certificate and private key, as text, used for mutual-TLS authentication against enterprise AI endpoints. Not set by default, in which case the default HTTP client is used.
modelName string
Model name
