AI GoogleVertexAI

AI GoogleVertexAI
Certified
Use Google Vertex AI models

Calls Vertex AI Gemini chat, embeddings, or images using project, location, and endpoint settings. Requires GCP credentials; ensure response formats are supported by the selected model/region.

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

Examples

Chat completion with Google Vertex 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.GoogleVertexAI
      endpoint: your-vertex-ai-endpoint
      location: your-google-cloud-region
      project: your-google-cloud-project-id
    messages:
      - type: SYSTEM
        content: You are a helpful assistant, answer concisely, avoid overly casual language or unnecessary verbosity.
      - type: USER
        content: "{{ inputs.prompt }}"

Properties

endpoint *string

Endpoint URL

location *string

Project location

modelName *string

Model name

project *string

Project ID

baseUrl string

Base URL

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

caPem string

CA PEM certificate content

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

clientPem string

Client PEM certificate content

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

Mistral

Tasks and triggers for Mistral AI: chat completions and workflow orchestration.

Google Cloud

Execute tasks and orchestrate workflows across Google Cloud Platform services. Centralize authentication and resource management for seamless GCP integration.

CloudDataInfrastructureAI

AI GoogleVertexAICertifiedUse Google Vertex AI models

AI GoogleVertexAI

More Plugins in this Category

Mistral

Google Cloud

AI GoogleVertexAI
Certified
Use Google Vertex AI models