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Every InputDevice has to implement a name, an on_open and on_close methods. The on_open is called when an agent is started with this device, and when stopped, on_close is called.

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Template

This template, once activated, sends data every 1 second to the agent as if the user was talking. 
import threading

from brain_client.input_types import InputDevice

class MyInput(InputDevice):
    def __init__(self):
        super().__init__()
        self._stop_evt = threading.Event()

    @property
    def name(self) -> str:
        return "my_input"  # used by agents

    def on_open(self):
        self._stop_evt.clear()
        
        def timer_loop():
            while not self._stop_evt.is_set():
                self.send_data({"text": "tick!"}, data_type="chat_in")
                self._stop_evt.wait(timeout=1.0)
        
        threading.Thread(target=timer_loop, daemon=True).start()

    def on_close(self):
        self._stop_evt.set()

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Data types

The Innate agent performs better with properly formatted inputs, so we provide the data_type parameter to send data on the right channels. Currently, data_type can either be chat_in or custom. In both cases, send_data expects a dictionary:
  • chat_in — text input as if the user was talking, e.g. {"text": "Hello robot"}. You can include extra keys such as confidence or source.
  • custom — any other structured data, e.g. {"air_quality": 42, "unit": "AQI"}.