InfoGatherer

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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.prefabs import InfoGathererAgent
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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')
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    if question_set == 'support':
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        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)
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if __name__ == "__main__":
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    agent.run()

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# In a SWAIG function or callback:
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global_data = raw_data.get("global_data", {})
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answers = global_data.get("answers", [])
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# answers is a list like:
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# [
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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.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": "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?"}
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    ],
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    name="appointment-scheduler"
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)
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# Add custom language
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agent.add_language("English", "en-US", "rime.spore")
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# Customize prompt
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agent.prompt_add_section(
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    "Brand",
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    "You are scheduling appointments for Dr. Smith's office."
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)
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if __name__ == "__main__":
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    agent.run()