AI
Transforms workflows into intelligent systems by integrating AI agents. This module enables decision-making, content generation, classification, and reasoning capabilities, allowing workflows to adapt dynamically based on data and context.
Dependencies
This module depends on the following modules *:
n2n2_uin2_triggern2_data
*Built-in modules not listed
Python Requirement
This module requires the following Python package:
agent-framework-core
AiAgentNode
This node represents an AI agent responsible for orchestrating reasoning, handling tool calls, interacting with context providers, and executing AI-driven tasks.
Parameters
nameRawsystem_messageRawpromptTmplis_html_resultRawis_structuredRawschemaRaw
AiCalculatorMcpToolNode
This node exposes calculator functionality as a Machine-Configurable Protocol (MCP) tool.
AiClientNode
This node is used to connect the AiAgentNode to your AI backend via the OpenAI Chat API.
Parameters
modelRawapi_keyRawbase_urlRaw
These parameters are used as parameters for OpenAIChatClient of the Microsoft Agent Framework.
AiDateToolNode
Provides two date-related tools for the AiAgentNode:
get_todays_date — Returns the current date.
get_todays_datetime — Returns the current date and time.
These tools allow the agent to incorporate real-time temporal data into its reasoning and outputs.
ManualContextProviderNode
A context provider node that supplies manually defined contextual information to the AiAgentNode.
Parameters
contextTmpl