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from signalwire_agents.prefabs import InfoGathererAgent
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agent = InfoGathererAgent(
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    questions=[
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        {"key_name": "name", "question_text": "What is your name?"},
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        {"key_name": "email", "question_text": "What is your email?", "confirm": True},
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        {"key_name": "reason", "question_text": "How can I help you?"}
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    ]
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)
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agent.run()

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from signalwire_agents.prefabs import FAQBotAgent
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agent = FAQBotAgent(
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    faqs=[
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        {"question": "What are your hours?", "answer": "We're open 9 AM to 5 PM."},
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        {"question": "Where are you located?", "answer": "123 Main Street, Downtown."}
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    ]
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)
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agent.run()

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from signalwire_agents.prefabs import SurveyAgent
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agent = SurveyAgent(
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    survey_name="Customer Satisfaction",
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    questions=[
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        {"id": "rating", "text": "Rate your experience?", "type": "rating", "scale": 5},
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        {"id": "feedback", "text": "Any comments?", "type": "open_ended", "required": False}
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    ]
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)
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agent.run()

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from signalwire_agents.prefabs import ReceptionistAgent
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agent = ReceptionistAgent(
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    departments=[
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        {"name": "sales", "description": "Product inquiries", "number": "+15551234567"},
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        {"name": "support", "description": "Technical help", "number": "+15551234568"}
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    ]
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)
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agent.run()

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from signalwire_agents.prefabs import ConciergeAgent
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agent = ConciergeAgent(
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    venue_name="Grand Hotel",
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    services=["room service", "spa", "restaurant"],
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    amenities={
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        "pool": {"hours": "7 AM - 10 PM", "location": "2nd Floor"},
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        "gym": {"hours": "24 hours", "location": "3rd Floor"}
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    }
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)
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agent.run()

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# Import individual prefabs
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from signalwire_agents.prefabs import InfoGathererAgent
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from signalwire_agents.prefabs import FAQBotAgent
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from signalwire_agents.prefabs import SurveyAgent
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from signalwire_agents.prefabs import ReceptionistAgent
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from signalwire_agents.prefabs import ConciergeAgent
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# Or import all
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from signalwire_agents.prefabs import (
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    InfoGathererAgent,
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    FAQBotAgent,
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    SurveyAgent,
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    ReceptionistAgent,
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    ConciergeAgent
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)

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from signalwire_agents.prefabs import FAQBotAgent
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from signalwire_agents.core.function_result import SwaigFunctionResult
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class MyFAQBot(FAQBotAgent):
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    def __init__(self):
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        super().__init__(
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            faqs=[
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                {"question": "What is your return policy?", "answer": "30-day returns."}
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            ]
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        )
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        # Add custom prompt sections
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        self.prompt_add_section("Brand", "You represent Acme Corp.")
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        # Add custom functions
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        self.define_tool(
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            name="escalate",
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            description="Escalate to human agent",
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            parameters={"type": "object", "properties": {}},
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            handler=self.escalate
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        )
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    def escalate(self, args, raw_data):
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        return SwaigFunctionResult("Transferring to agent...").connect("+15551234567")

1
from signalwire_agents.prefabs import InfoGathererAgent
2
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agent = InfoGathererAgent(
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    questions=[
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        {"key_name": "full_name", "question_text": "What is your full name?"},
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        {"key_name": "email", "question_text": "What is your email address?", "confirm": True},
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        {"key_name": "reason", "question_text": "How can I help you today?"}
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    ]
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)
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if __name__ == "__main__":
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    agent.run()

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InfoGathererAgent(
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    questions=None,           # List of question dictionaries
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    name="info_gatherer",     # Agent name
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    route="/info_gatherer",   # HTTP route
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    **kwargs                  # Additional AgentBase arguments
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)

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from signalwire_agents.prefabs import InfoGathererAgent
2
3
4
def get_questions(query_params, body_params, headers):
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    """Dynamically determine questions based on request"""
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    question_set = query_params.get('type', 'default')
7
8
    if question_set == 'support':
9
        return [
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            {"key_name": "name", "question_text": "What is your name?"},
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            {"key_name": "issue", "question_text": "Describe your issue."},
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            {"key_name": "urgency", "question_text": "How urgent is this?"}
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        ]
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    else:
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        return [
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            {"key_name": "name", "question_text": "What is your name?"},
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            {"key_name": "message", "question_text": "How can I help?"}
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        ]
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# Create agent without static questions
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agent = InfoGathererAgent()
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# Set the callback for dynamic questions
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agent.set_question_callback(get_questions)
26
27
if __name__ == "__main__":
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    agent.run()

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# In a SWAIG function or callback:
2
global_data = raw_data.get("global_data", {})
3
answers = global_data.get("answers", [])
4
5
# answers is a list like:
6
# [
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#     {"key_name": "full_name", "answer": "John Doe"},
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#     {"key_name": "email", "answer": "john@example.com"},
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#     {"key_name": "reason", "answer": "Product inquiry"}
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# ]

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#!/usr/bin/env python3
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# appointment_scheduler.py - Info gatherer for scheduling appointments
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from signalwire_agents.prefabs import InfoGathererAgent
4
5
6
agent = InfoGathererAgent(
7
    questions=[
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        {"key_name": "name", "question_text": "What is your name?"},
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        {"key_name": "phone", "question_text": "What is your phone number?", "confirm": True},
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        {"key_name": "date", "question_text": "What date would you like to schedule?"},
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        {"key_name": "time", "question_text": "What time works best for you?"},
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        {"key_name": "notes", "question_text": "Any special notes or requests?"}
13
    ],
14
    name="appointment-scheduler"
15
)
16
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# Add custom language
18
agent.add_language("English", "en-US", "rime.spore")
19
20
# Customize prompt
21
agent.prompt_add_section(
22
    "Brand",
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    "You are scheduling appointments for Dr. Smith's office."
24
)
25
26
if __name__ == "__main__":
27
    agent.run()