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Node Details

  • Name: Agent_SeqAgents
  • Type: Agent
  • Category: Sequential Agents
  • Version: 3.0

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Input Parameters

  1. Agent Name (string, required)
    • Label: Agent Name
    • Description: Unique identifier for the agent
  2. System Prompt (string, optional)
    • Label: System Prompt
    • Default: Example prompt for a research assistant
    • Description: Initial instructions for the agent
  3. Human Prompt (string, optional)
    • Label: Human Prompt
    • Description: Prompt added at the end of messages as a human message
  4. Messages History (code, optional)
    • Label: Messages History
    • Description: List of messages between System Prompt and Human Prompt, useful for few-shot examples
  5. Tools (Tool, list, optional)
    • Label: Tools
    • Description: List of tools available for the agent to use
  6. Sequential Node (Start | Agent | Condition | LLMNode | ToolNode, list, required)
    • Label: Start | Agent | Condition | LLM | Tool Node
    • Description: Predecessor nodes in the sequential flow
  7. Chat Model (BaseChatModel, optional)
    • Label: Chat Model
    • Description: Overwrite model to be used for this agent
  8. Require Approval (boolean, optional)
    • Label: Require Approval
    • Description: If enabled, requires approval before executing tools
  9. Format Prompt Values (json, optional)
    • Label: Format Prompt Values
    • Description: Assign values to prompt variables, can use state values
  10. Approval Prompt (string, optional)
    • Label: Approval Prompt
    • Default: Default prompt asking for tool execution approval
    • Description: Custom prompt for approval requests
  11. Approve Button Text (string, optional)
    • Label: Approve Button Text
    • Default: “Yes”
    • Description: Text for the approval button
  12. Reject Button Text (string, optional)
    • Label: Reject Button Text
    • Default: “No”
    • Description: Text for the rejection button
  13. Update State (tabs, optional)
    • Label: Update State
    • Description: Options to update the state after agent execution
    • Tabs: a. Update State (Table): UI-based state update b. Update State (Code): Code-based state update
  14. Max Iterations (number, optional)
    • Label: Max Iterations
    • Description: Maximum number of iterations for the agent

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Outputs

  • output: The result of the agent’s execution, including:
    • Content: The main response text
    • Used Tools: List of tools used during execution
    • Source Documents: Any relevant source documents
    • Artifacts: Additional data or files generated

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Functionality

  1. Tool Execution: Can use various tools to accomplish tasks.
  2. State Management: Updates and maintains state across interactions.
  3. Approval Workflow: Optional approval process before tool execution.
  4. Dynamic Prompting: Uses system and human prompts with variable substitution.
  5. Multi-modal Support: Can process and generate responses with image content.
  6. Iteration Control: Limits the number of execution cycles.
  7. Flexible Configuration: Supports both UI-based and code-based configurations.

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Use Cases

  • Complex multi-step conversations
  • Research and information gathering tasks
  • Decision-making processes requiring multiple tools
  • Workflows needing human oversight (with approval feature)
  • Dynamic state-based interactions in chatbots or virtual assistants

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Notes

  • Requires proper setup of predecessor nodes and tools.
  • Careful configuration of prompts and state management is crucial for effective operation.
  • Can be computationally intensive, especially with multiple tools and iterations.