# Multi-Subagent Template
# Copy this file to your AiAuthoringBundle directory and rename it to match
# your agent's developer_name. Replace all placeholder values with real ones.
# Add, remove, or rename subagents as needed.

system:
    instructions: "You are a helpful assistant. Describe the agent's persona and purpose here."
    messages:
        welcome: "Hello! How can I help you today?"
        error: "Sorry, it looks like something has gone wrong."

config:
    developer_name: "Agent_API_Name"
    agent_label: "Agent Display Name"
    description: "Description of the agent's purpose"
    # agent_type: "AgentforceServiceAgent" for customer-facing (requires default_agent_user)
    #             "AgentforceEmployeeAgent" for internal (remove default_agent_user line)
    agent_type: "AgentforceServiceAgent"
    default_agent_user: "username@identifier.org"

variables:
    collected_input: mutable string = ""
        description: "Replace with a description of what this variable tracks"

language:
    default_locale: "en_US"
    additional_locales: ""
    all_additional_locales: False

start_agent agent_router:
    description: "Welcome the user and determine the appropriate subagent based on user input"
    reasoning:
        actions:
            go_to_subagent_a: @utils.transition to @subagent.subagent_a
            go_to_subagent_b: @utils.transition to @subagent.subagent_b
            go_to_subagent_c: @utils.transition to @subagent.subagent_c
            go_to_escalation: @utils.transition to @subagent.escalation
            go_to_off_topic: @utils.transition to @subagent.off_topic

subagent subagent_a:
    label: "Subagent A"
    description: "Describe what this subagent handles"

    reasoning:
        instructions: ->
            | Replace this with instructions for subagent A.

        actions:
            action_a: @actions.action_a
                with input_param = ...

    actions:
        action_a:
            description: "Describe what this action does"
            label: "Action A"
            target: "apex://ClassName"
            inputs:
                input_param: string
                    description: "Describe this parameter"
                    label: "Parameter Name"
                    is_required: True
            outputs:
                output_field: string
                    label: "Output Name"
                    description: "Describe this output"
                    is_displayable: True
                    filter_from_agent: False

subagent subagent_b:
    label: "Subagent B"
    description: "Describe what this subagent handles"

    reasoning:
        instructions: ->
            | Replace this with instructions for subagent B. This subagent demonstrates the gating pattern.

        actions:
            # Collect data into a variable first
            collect_data: @utils.setVariables
                description: "Collect user input into a variable"
                with collected_input = ...

            # Gate the main action behind the variable
            main_action: @actions.action_b
                description: "Describe what this gated action does"
                available when @variables.collected_input != ""
                with query_param = @variables.collected_input

    actions:
        action_b:
            description: "Describe what this action does"
            label: "Action B"
            target: "prompt://PromptTemplateName"
            inputs:
                query_param: string
                    description: "Describe this parameter"
                    label: "Parameter Name"
                    is_required: True
            outputs:
                result_text: string
                    description: "Describe this output"
                    label: "Result"
                    is_displayable: False

subagent subagent_c:
    label: "Subagent C"
    description: "Describe what this subagent handles"

    reasoning:
        instructions: ->
            | Replace this with base instructions for subagent C.

            # Conditional instructions based on variable state
            if @variables.collected_input != "":
                | Additional instructions when the variable has been set.
            else:
                | Instructions when the variable has not been set yet.

        actions:
            action_c: @actions.action_c
                with input_param = ...
                # Bind an action output to an agent variable
                set @variables.collected_input = @outputs.result_value

    actions:
        action_c:
            description: "Describe what this action does"
            label: "Action C"
            target: "flow://FlowName"
            inputs:
                input_param: string
                    description: "Describe this parameter"
                    label: "Parameter Name"
                    is_required: True
            outputs:
                result_value: string
                    label: "Result Value"
                    description: "Describe this output"
                    is_displayable: True
                    filter_from_agent: False

subagent escalation:
    label: "Escalation"
    description: "Handles requests from users who want to transfer or escalate their conversation to a live human agent."

    reasoning:
        instructions: ->
            | If a user explicitly asks to transfer to a live agent, escalate the conversation.
        actions:
            escalate_to_human: @utils.escalate
                description: "Escalate to a human agent."

subagent off_topic:
    label: "Off Topic"
    description: "Redirect conversation to relevant subagents when user request goes off-topic"

    reasoning:
        instructions: ->
            | The user request is off-topic. Do not answer general knowledge questions.
              Redirect the conversation by asking how you can help with the subagents this agent supports.