# Simple Q&A Agent Template
# A minimal agent that handles basic questions using LLM reasoning
# Demonstrates: one focused execution scope, concise answers, and escalation
#
# Usage: Replace {{placeholders}} with your values
# Replace the valid developer-name sentinel plus the quoted display-value
# placeholders before deployment.
# Required: access.default_agent_user plus config developer_name, agent_label,
# and description

system:
    instructions: |
        {{SystemInstructions}} For a basic informational request, answer
        helpfully and concisely. For an explicit request for a human, transfer
        without also answering the underlying request. When the user is done,
        give a brief farewell without invoking an action.
    messages:
        welcome: "{{WelcomeMessage}}"
        error: "I'm sorry, I encountered an issue. Please try again."

access:
    default_agent_user: "{{AgentUser}}"

config:
    developer_name: "Agent_API_Name"
    agent_label: "{{AgentLabel}}"
    description: "{{AgentDescription}}"

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

start_agent qa_support:
    label: "Q&A Support"
    description: "Answers basic questions or transfers an explicit human request"

    reasoning:
        instructions: ->
            | For a basic question, answer accurately and concisely using the
              latest surviving conversation turns for follow-up context.
            | Ask one clarifying question only when information required to
              answer is genuinely missing.
            | If the user asks for a human, use the handoff action and do not
              also answer the underlying request.
            | If the user is done, give a brief farewell and do not invoke an
              action.

        actions:
            handoff: @utils.escalate
                description: "Transfer only when the user explicitly requests a human; this ends automated Q&A"