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Node Details

  • Name: seqToolNode
  • Type: ToolNode
  • Version: 2.0
  • Category: Sequential Agents
  • Base Class: ToolNode

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Parameters

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Required Parameters

  1. Tools (Tool, list)
    • List of tools to be executed by the node
  2. LLM Node (LLMNode)
    • The Language Model node to be used for processing
  3. Name (string)
    • Custom name for the tool node

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Optional Parameters

  1. Require Approval (boolean)
    • If enabled, requires approval before executing tools
  2. Approval Prompt (string)
    • Custom prompt for approval (only applicable if “Require Approval” is enabled)
    • Default: “You are about to execute tool: . Ask if user want to proceed”
  3. Approve Button Text (string)
    • Text for the approve button (only applicable if “Require Approval” is enabled)
    • Default: “Yes”
  4. Reject Button Text (string)
    • Text for the reject button (only applicable if “Require Approval” is enabled)
    • Default: “No”
  5. Update State (tabs)
    • Options to update the state after tool execution
    • Tabs: a. Update State (Table): GUI-based state update b. Update State (Code): Code-based state update

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Input

  • The node accepts input from a predecessor node, typically an LLM node
  • Input should be in the form of AIMessages

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Output

  • The node outputs ToolMessages containing:
    • Tool name
    • Tool input
    • Tool output
    • Source documents (if any)
    • Artifacts (if any)

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Functionality

  1. Tool Execution: The node executes the specified tools based on the input received.
  2. Approval Process: If enabled, it seeks user approval before executing tools.
  3. State Update: After tool execution, it can update the workflow state based on the output.
  4. Error Handling: Provides error messages for various scenarios like missing tools or invalid inputs.

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Use Cases

  • Integrating specific tools or actions within a sequential agent workflow
  • Allowing user intervention before critical tool executions
  • Dynamically updating workflow state based on tool outputs

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Notes

  • The node is part of a larger sequential agent system and is designed to work in conjunction with other nodes, especially LLM nodes.
  • It supports both UI-based and code-based methods for updating the workflow state after tool execution.
  • The node can handle multiple tools and execute them in parallel if needed.