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42b27b9a9d
* Add isort * Apply isort on py files * Fix circular import * Fix format for notebooks * Fix format --------- Co-authored-by: Chi Wang <wang.chi@microsoft.com>
52 lines
1.8 KiB
Python
52 lines
1.8 KiB
Python
import time
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from AppAgents import FidelityAgent, FinancialPlannerAgent, PersonalAssistant, QuantAgent, RiskManager
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from autogencap.LocalActorNetwork import LocalActorNetwork
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from termcolor import colored
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def complex_actor_demo():
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"""
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This function demonstrates the usage of a complex actor system.
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It creates a local actor graph, registers various agents,
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connects them, and interacts with a personal assistant agent.
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The function continuously prompts the user for input messages,
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sends them to the personal assistant agent, and terminates
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when the user enters "quit".
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"""
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network = LocalActorNetwork()
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# Register agents
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network.register(PersonalAssistant())
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network.register(FidelityAgent())
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network.register(FinancialPlannerAgent())
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network.register(RiskManager())
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network.register(QuantAgent())
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# Tell agents to connect to other agents
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network.connect()
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# Get a channel to the personal assistant agent
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pa = network.lookup_actor(PersonalAssistant.cls_agent_name)
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info_msg = """
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This is an imaginary personal assistant agent scenario.
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Five actors are connected in a self-determined graph. The user
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can interact with the personal assistant agent by entering
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their name. The personal assistant agent will then enlist
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the other four agents to create a financial plan.
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Start by entering your name.
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"""
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print(colored(info_msg, "blue"))
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while True:
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# For aesthetic reasons, better to let network messages complete
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time.sleep(0.1)
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# Get a message from the user
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msg = input(colored("Enter your name (or quit): ", "light_red"))
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# Send the message to the personal assistant agent
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pa.send_txt_msg(msg)
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if msg.lower() == "quit":
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break
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# Cleanup
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pa.close()
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network.disconnect()
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