Other times you may want to build an application that involves two machines. In such cases, you can use unconscious to build a bridge between the two.
For example, one machine us running a script that uses your favorite LLM api, and another machine is running a script that has access to a set of data that the first machine needs.
First the machine joins the chat room.
from unconscious import Client
client = Client()
# and we'll choose a thread to join
client.join("home")
next we want our machines to understand each other... so lets define a typed message.
@msg
class SimpleMessage:
message: str
Now we can send a message to the chat room.
client.send({
"simple_message": {
"message": "whatsup"
}
})
additionally, we can leverage the @npc decorator to for a easy to use bot that has on_alive and on_message methods.
@npc
class MyBot:
def on_alive(self):
self.send({
"simple_message": {
"message": "whatsup"
}
})
def on_message(self, message):
print(message)
and finally, we can run our bot.
bot = MyBot()
bot.run()
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