Tool Node

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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.