Google Gemini Outbound Connector

A large language model (LLM) created by Google AI. It's a multimodal model, meaning it can understand and work with different types of information like text, code, audio, images, and video

outbound io.camunda:google-gemini:1

Required inputs

Key	Label	Type
`authentication.authType`	Type	string
`authentication.bearerToken`	Bearer token	secret
`authentication.oauthClientId`	Client ID	FEEL expression
`authentication.oauthClientSecret`	Client secret	secret
`authentication.oauthRefreshToken`	Refresh token	secret
`input.projectId`	Project ID	string
`input.region`	Region	string
`input.model`	Model	string
`input.prompts`	Prompt	FEEL expression
`input.maxOutputTokens`	Output token limit from 1 to 8192	secret

Optional inputs

Key	Label	Type
`input.systemInstrText`	System instructions	string
`input.grounding`	Grounding	string
`input.dataStorePath`	Vertex AI data store path	string
`input.safetySettings`	Safety Filter Settings	string
`input.hateSpeech`	Hate speech	string
`input.dangerousContent`	Dangerous content	string
`input.sexuallyExplicit`	Sexually explicit content	string
`input.harassment`	Harassment content	string
`input.stopSequences`	Add stop sequence	FEEL expression
`input.temperature`	Temperature	string
`input.seed`	Seed	string
`input.topK`	Top-K	string
`input.topP`	Top-P	string
`input.functionCalls`	Function call description	FEEL expression
`resultVariable`	Result variable	string
`resultExpression`	Result expression	FEEL expression
`errorExpression`	Error expression	FEEL expression
`retryCount`	Retries	FEEL expression
`retryBackoff`	Retry backoff	string

Apply this connector with @bpmnkit/connectors

import { applyConnectorTemplate } from "@bpmnkit/connectors" const result = applyConnectorTemplate("io.camunda.connectors.GoogleGemini.v1", { "authentication.authType": "bearer", "authentication.bearerToken": "<your bearer token>", "authentication.oauthClientId": "= ...", "authentication.oauthClientSecret": "<your client secret>", "authentication.oauthRefreshToken": "<your refresh token>", "input.projectId": "...", "input.region": "...", "input.model": "GEMINI_1_5_FLASH_001", "input.prompts": "= ...", "input.maxOutputTokens": "<your output token limit from 1 to 8192>", "input.systemInstrText": "...", "input.grounding": false, })