Google Gemini Model Provider
WARNING: when using tools, this provider didn't support JSON Schema with anyOf.
type: "io.kestra.plugin.ai.provider.GoogleGemini"Examples
Chat completion with Google Gemini
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.GoogleGemini
      apiKey: "{{ kv('GOOGLE_API_KEY') }}"
      modelName: gemini-2.5-flash
      thinkingEnabled: true
      thinkingBudgetTokens: 1024
      returnThinking: true
    messages:
      - type: SYSTEM
        content: You are a helpful assistant, answer concisely, avoid overly casual language or unnecessary verbosity.
      - type: USER
        content: "{{inputs.prompt}}"
Chat completion with Google Gemini with a local base URL + PEM certificates
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.GoogleGemini
      apiKey: "{{ kv('GOOGLE_API_KEY') }}"
      modelName: gemini-2.5-flash
      clientPem: "{{ kv('CLIENT_PEM') }}"
      caPem: "{{ kv('CA_PEM') }}"
      baseUrl: "https://internal.gemini.company.com/endpoint"
      thinkingEnabled: true
      thinkingBudgetTokens: 1024
      returnThinking: true
    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 *Requiredstring
API Key
modelName *Requiredstring
Model name
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.
