Kye
1 year ago
parent
7d888c6a71
commit
154f50cc25
@ -1,109 +1,49 @@
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# from swarms.structs import Flow
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# from swarms.models import OpenAIChat
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# from swarms.swarms.groupchat import GroupChat
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# from swarms.agents import SimpleAgent
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from swarms import OpenAI, Flow
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from swarms.swarms.groupchat import GroupChatManager, GroupChat
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# api_key = ""
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# llm = OpenAIChat(
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# openai_api_key=api_key,
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# )
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api_key = ""
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# agent1 = SimpleAgent("Captain Price", Flow(llm=llm, max_loops=4))
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# agent2 = SimpleAgent("John Mactavis", Flow(llm=llm, max_loops=4))
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# # Create a groupchat with the 2 agents
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# chat = GroupChat([agent1, agent2])
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# # Assign duties to the agents
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# chat.assign_duty(agent1.name, "Buy the groceries")
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# chat.assign_duty(agent2.name, "Clean the house")
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# # Initate a chat
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# response = chat.run("Captain Price", "Hello, how are you John?")
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# print(response)
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from swarms.models import OpenAIChat
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from swarms.structs import Flow
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import random
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api_key = "" # Your API Key here
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class GroupChat:
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"""
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GroupChat class that facilitates agent-to-agent communication using multiple instances of the Flow class.
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"""
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def __init__(self, agents: list):
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self.agents = {f"agent_{i}": agent for i, agent in enumerate(agents)}
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self.message_log = []
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def add_agent(self, agent: Flow):
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agent_id = f"agent_{len(self.agents)}"
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self.agents[agent_id] = agent
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def remove_agent(self, agent_id: str):
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if agent_id in self.agents:
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del self.agents[agent_id]
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def send_message(self, sender_id: str, recipient_id: str, message: str):
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if sender_id not in self.agents or recipient_id not in self.agents:
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raise ValueError("Invalid sender or recipient ID.")
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formatted_message = f"{sender_id} to {recipient_id}: {message}"
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self.message_log.append(formatted_message)
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recipient_agent = self.agents[recipient_id]
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recipient_agent.run(message)
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def broadcast_message(self, sender_id: str, message: str):
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for agent_id, agent in self.agents.items():
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if agent_id != sender_id:
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self.send_message(sender_id, agent_id, message)
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def get_message_log(self):
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return self.message_log
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class EnhancedGroupChatV2(GroupChat):
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def __init__(self, agents: list):
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super().__init__(agents)
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def multi_round_conversation(self, rounds: int = 5):
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"""
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Initiate a multi-round conversation between agents.
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Args:
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rounds (int): The number of rounds of conversation.
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"""
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for _ in range(rounds):
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# Randomly select a sender and recipient agent for the conversation
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sender_id = random.choice(list(self.agents.keys()))
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recipient_id = random.choice(list(self.agents.keys()))
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while recipient_id == sender_id: # Ensure the recipient is not the sender
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recipient_id = random.choice(list(self.agents.keys()))
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# Generate a message (for simplicity, a generic message is used)
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message = f"Hello {recipient_id}, how are you today?"
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self.send_message(sender_id, recipient_id, message)
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# Sample usage with EnhancedGroupChatV2
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# Initialize the language model
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llm = OpenAIChat(
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llm = OpenAI(
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openai_api_key=api_key,
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temperature=0.5,
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max_tokens=3000,
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)
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# Initialize two Flow agents
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agent1 = Flow(llm=llm, max_loops=5, dashboard=True)
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agent2 = Flow(llm=llm, max_loops=5, dashboard=True)
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# Initialize the flow
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flow1 = Flow(
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llm=llm,
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max_loops=1,
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system_message="YOU ARE SILLY, YOU OFFER NOTHING OF VALUE",
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name='silly',
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dashboard=True,
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)
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flow2 = Flow(
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llm=llm,
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max_loops=1,
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system_message="YOU ARE VERY SMART AND ANSWER RIDDLES",
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name='detective',
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dashboard=True,
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)
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flow3 = Flow(
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llm=llm,
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max_loops=1,
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system_message="YOU MAKE RIDDLES",
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name='riddler',
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dashboard=True,
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)
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manager = Flow(
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llm=llm,
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max_loops=1,
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system_message="YOU ARE A GROUP CHAT MANAGER",
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name='manager',
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dashboard=True,
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)
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# Create an enhanced group chat with the two agents
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enhanced_group_chat_v2 = EnhancedGroupChatV2(agents=[agent1, agent2])
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# Simulate multi-round agent to agent communication
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enhanced_group_chat_v2.multi_round_conversation(rounds=5)
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# Example usage:
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agents = [flow1, flow2, flow3]
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enhanced_group_chat_v2.get_message_log() # Get the conversation log
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group_chat = GroupChat(agents=agents, messages=[], max_round=10)
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chat_manager = GroupChatManager(groupchat=group_chat, selector = manager)
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chat_history = chat_manager("Write me a riddle")
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@ -1,89 +1,108 @@
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from swarms.agents import SimpleAgent
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from termcolor import colored
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import logging
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from dataclasses import dataclass
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from typing import Dict, List
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from swarms.structs.flow import Flow
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logger = logging.getLogger(__name__)
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@dataclass
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class GroupChat:
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"""
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Groupchat
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Args:
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agents (list): List of agents
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dashboard (bool): Whether to print a dashboard or not
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Example:
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>>> from swarms.structs import Flow
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>>> from swarms.models import OpenAIChat
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>>> from swarms.swarms.groupchat import GroupChat
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>>> from swarms.agents import SimpleAgent
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>>> api_key = ""
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>>> llm = OpenAIChat()
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>>> agent1 = SimpleAgent("Captain Price", Flow(llm=llm, max_loops=4))
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>>> agent2 = SimpleAgent("John Mactavis", Flow(llm=llm, max_loops=4))
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>>> chat = GroupChat([agent1, agent2])
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>>> chat.assign_duty(agent1.name, "Buy the groceries")
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>>> chat.assign_duty(agent2.name, "Clean the house")
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>>> response = chat.run("Captain Price", "Hello, how are you John?")
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>>> print(response)
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"""
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def __init__(self, agents, dashboard: bool = False):
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# Ensure that all provided agents are instances of simpleagents
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if not all(isinstance(agent, SimpleAgent) for agent in agents):
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raise ValueError("All agents must be instances of SimpleAgent")
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self.agents = {agent.name: agent for agent in agents}
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# Dictionary to store duties for each agent
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self.duties = {}
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# Dictionary to store roles for each agent
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self.roles = {}
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self.dashboard = dashboard
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def assign_duty(self, agent_name, duty):
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"""Assigns duty to the agent"""
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if agent_name not in self.agents:
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raise ValueError(f"No agent named {agent_name} found.")
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def assign_role(self, agent_name, role):
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"""Assigns a role to the specified agent"""
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if agent_name not in self.agents:
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raise ValueError(f"No agent named {agent_name} found")
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self.roles[agent_name] = role
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def run(self, sender_name: str, message: str):
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"""Runs the groupchat"""
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if self.dashboard:
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metrics = print(
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colored(
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f"""
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Groupchat Configuration:
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------------------------
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Agents: {self.agents}
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Message: {message}
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Sender: {sender_name}
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""",
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"red",
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)
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"""A group chat class that contains a list of agents and the maximum number of rounds."""
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agents: List[Flow]
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messages: List[Dict]
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max_round: int = 10
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admin_name: str = "Admin" # the name of the admin agent
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@property
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def agent_names(self) -> List[str]:
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"""Return the names of the agents in the group chat."""
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return [agent.name for agent in self.agents]
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def reset(self):
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"""Reset the group chat."""
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self.messages.clear()
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def agent_by_name(self, name: str) -> Flow:
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"""Find an agent whose name is contained within the given 'name' string."""
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for agent in self.agents:
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if agent.name in name:
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return agent
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raise ValueError(f"No agent found with a name contained in '{name}'.")
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def next_agent(self, agent: Flow) -> Flow:
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"""Return the next agent in the list."""
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return self.agents[(self.agent_names.index(agent.name) + 1) % len(self.agents)]
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def select_speaker_msg(self):
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"""Return the message for selecting the next speaker."""
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return f"""
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You are in a role play game. The following roles are available:
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{self._participant_roles()}.
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Read the following conversation.
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Then select the next role from {self.agent_names} to play. Only return the role.
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"""
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def select_speaker(self, last_speaker: Flow, selector: Flow):
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"""Select the next speaker."""
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selector.update_system_message(self.select_speaker_msg())
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# Warn if GroupChat is underpopulated, without established changing behavior
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n_agents = len(self.agent_names)
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if n_agents < 3:
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logger.warning(
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f"GroupChat is underpopulated with {n_agents} agents. Direct communication would be more efficient."
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)
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print(metrics)
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responses = {}
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for agent_name, agent in self.agents.items():
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if agent_name != sender_name:
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if agent_name in self.duties:
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message += f"Your duty is {self.duties[agent_name]}"
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if agent_name in self.roles:
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message += (
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f"You are the {self.roles[agent_name]} in this conversation"
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)
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name = selector.generate_reply(
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self.format_history(
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self.messages
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+ [
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{
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"role": "system",
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"content": f"Read the above conversation. Then select the next most suitable role from {self.agent_names} to play. Only return the role.",
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}
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]
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)
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)
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try:
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return self.agent_by_name(name["content"])
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except ValueError:
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return self.next_agent(last_speaker)
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def _participant_roles(self):
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return "\n".join(
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[f"{agent.name}: {agent.system_message}" for agent in self.agents]
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)
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def format_history(self, messages: List[Dict]) -> str:
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formatted_messages = []
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for message in messages:
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formatted_message = f"'{message['role']}:{message['content']}"
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formatted_messages.append(formatted_message)
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return "\n".join(formatted_messages)
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class GroupChatManager:
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def __init__(self, groupchat: GroupChat, selector: Flow):
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self.groupchat = groupchat
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self.selector = selector
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def __call__(self, task: str):
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self.groupchat.messages.append({"role": self.selector.name, "content": task})
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for i in range(self.groupchat.max_round):
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speaker = self.groupchat.select_speaker(
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last_speaker=self.selector, selector=self.selector
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)
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reply = speaker.generate_reply(
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self.groupchat.format_history(self.groupchat.messages)
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)
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self.groupchat.messages.append(reply)
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print(reply)
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if i == self.groupchat.max_round - 1:
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break
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responses[agent_name] = agent.run(message)
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return responses
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return reply
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