AI Agent Subprocess

Processes user requests with an integrated, customizable toolbox and services for dynamic workflows.

agentic io.camunda.agenticai:aiagent-job-worker:1

Required inputs

Key	Label	Type
`provider.anthropic.authentication.apiKey`	Anthropic API key	secret
`provider.bedrock.region`	Region	FEEL expression
`provider.bedrock.authentication.accessKey`	Access key	secret
`provider.bedrock.authentication.secretKey`	Secret key	secret
`provider.azureOpenAi.endpoint`	Endpoint	FEEL expression
`provider.azureOpenAi.authentication.apiKey`	API key	secret
`provider.azureOpenAi.authentication.clientId`	Client ID	FEEL expression
`provider.azureOpenAi.authentication.clientSecret`	Client secret	secret
`provider.azureOpenAi.authentication.tenantId`	Tenant ID	FEEL expression
`provider.googleVertexAi.projectId`	Project ID	FEEL expression
`provider.googleVertexAi.region`	Region	FEEL expression
`provider.googleVertexAi.authentication.jsonKey`	JSON key of the service account	FEEL expression
`provider.openai.authentication.apiKey`	OpenAI API key	secret
`provider.openaiCompatible.endpoint`	API endpoint	FEEL expression
`provider.anthropic.model.model`	Model	FEEL expression
`provider.bedrock.model.model`	Model	FEEL expression
`provider.azureOpenAi.model.deploymentName`	Model deployment name	FEEL expression
`provider.googleVertexAi.model.model`	Model	FEEL expression
`provider.openai.model.model`	Model	FEEL expression
`provider.openaiCompatible.model.model`	Model	FEEL expression
`data.systemPrompt.prompt`	System prompt	FEEL expression
`data.userPrompt.prompt`	User prompt	FEEL expression
`data.memory.storage.storeType`	Implementation type	FEEL expression
`data.events.behavior`	Event handling behavior	string

Optional inputs

Key	Label	Type
`provider.type`	Provider	string
`provider.anthropic.endpoint`	Endpoint	FEEL expression
`provider.bedrock.endpoint`	Endpoint	FEEL expression
`provider.bedrock.authentication.type`	Authentication	string
`provider.azureOpenAi.authentication.type`	Authentication	string
`provider.azureOpenAi.authentication.authorityHost`	Authority host	FEEL expression
`provider.googleVertexAi.authentication.type`	Authentication	string
`provider.openai.authentication.organizationId`	Organization ID	FEEL expression
`provider.openai.authentication.projectId`	Project ID	FEEL expression
`provider.openaiCompatible.authentication.apiKey`	API key	secret
`provider.openaiCompatible.headers`	Headers	FEEL expression
`provider.anthropic.model.parameters.maxTokens`	Maximum tokens	secret
`provider.anthropic.model.parameters.temperature`	Temperature	FEEL expression
`provider.anthropic.model.parameters.topP`	top P	FEEL expression
`provider.anthropic.model.parameters.topK`	top K	FEEL expression
`provider.bedrock.model.parameters.maxTokens`	Maximum tokens	secret
`provider.bedrock.model.parameters.temperature`	Temperature	FEEL expression
`provider.bedrock.model.parameters.topP`	top P	FEEL expression
`provider.azureOpenAi.model.parameters.maxTokens`	Maximum tokens	secret
`provider.azureOpenAi.model.parameters.temperature`	Temperature	FEEL expression
`provider.azureOpenAi.model.parameters.topP`	top P	FEEL expression
`provider.googleVertexAi.model.parameters.maxOutputTokens`	Maximum output tokens	secret
`provider.googleVertexAi.model.parameters.temperature`	Temperature	FEEL expression
`provider.googleVertexAi.model.parameters.topP`	top P	FEEL expression
`provider.googleVertexAi.model.parameters.topK`	top K	FEEL expression
`provider.openai.model.parameters.maxCompletionTokens`	Maximum completion tokens	secret
`provider.openai.model.parameters.temperature`	Temperature	FEEL expression
`provider.openai.model.parameters.topP`	top P	FEEL expression
`provider.openaiCompatible.model.parameters.maxCompletionTokens`	Maximum completion tokens	secret
`provider.openaiCompatible.model.parameters.temperature`	Temperature	FEEL expression
`provider.openaiCompatible.model.parameters.topP`	top P	FEEL expression
`provider.openaiCompatible.model.parameters.customParameters`	Custom parameters	FEEL expression
`data.userPrompt.documents`	Documents	FEEL expression
`agentContext`	Agent context	FEEL expression
`data.memory.storage.type`	Memory storage type	string
`data.memory.storage.timeToLive`	Document TTL	FEEL expression
`data.memory.storage.customProperties`	Custom document properties	FEEL expression
`data.memory.storage.parameters`	Parameters	FEEL expression
`data.memory.contextWindowSize`	Context window size	string
`data.limits.maxModelCalls`	Maximum model calls	string
`data.response.format.type`	Response format	string
`data.response.format.parseJson`	Parse text as JSON	string
`data.response.format.schema`	Response JSON schema	FEEL expression
`data.response.format.schemaName`	Response JSON schema name	FEEL expression
`data.response.includeAssistantMessage`	Include assistant message	string
`data.response.includeAgentContext`	Include agent context	string
`resultVariable`	Result variable	string
`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.agenticai.aiagent.jobworker.v1", { "provider.anthropic.authentication.apiKey": "<your anthropic api key>", "provider.bedrock.region": "= ...", "provider.bedrock.authentication.accessKey": "<your access key>", "provider.bedrock.authentication.secretKey": "<your secret key>", "provider.azureOpenAi.endpoint": "= ...", "provider.azureOpenAi.authentication.apiKey": "<your api key>", "provider.azureOpenAi.authentication.clientId": "= ...", "provider.azureOpenAi.authentication.clientSecret": "<your client secret>", "provider.azureOpenAi.authentication.tenantId": "= ...", "provider.googleVertexAi.projectId": "= ...", "provider.googleVertexAi.region": "= ...", "provider.googleVertexAi.authentication.jsonKey": "= ...", "provider.openai.authentication.apiKey": "<your openai api key>", "provider.openaiCompatible.endpoint": "= ...", "provider.anthropic.model.model": "= claude-3-5-sonnet-20240620", "provider.bedrock.model.model": "= anthropic.claude-3-5-sonnet-20240620-v1:0", "provider.azureOpenAi.model.deploymentName": "= ...", "provider.googleVertexAi.model.model": "= ...", "provider.openai.model.model": "= gpt-4o", "provider.openaiCompatible.model.model": "= gpt-4o", "data.systemPrompt.prompt": "= "You are **TaskAgent**, a helpful, generic chat agent that can handle a wide variety of customer requests using your own domain knowledge **and** any tools explicitly provided to you at runtime. If tools are provided, you should prefer them instead of guessing an answer. You can call the same tool multiple times by providing different input values. Don't guess any tools which were not explicitly configured. If no tool matches the request, try to generate an answer. If you're not able to find a good answer, return with a message stating why you're not able to. Wrap minimal, inspectable reasoning in *exactly* this XML template: <thinking> <context>…briefly state the customer’s need and current state…</context> <reflection>…list candidate tools, justify which you will call next and why…</reflection> </thinking> Reveal **no** additional private reasoning outside these tags."", "data.userPrompt.prompt": "= ...", "data.memory.storage.storeType": "= ...", "data.events.behavior": "WAIT_FOR_TOOL_CALL_RESULTS", "provider.type": "anthropic", "provider.anthropic.endpoint": "= ...", })