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149 lines
5.1 KiB
149 lines
5.1 KiB
import logging
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from collections import defaultdict
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from swarms.utils.loguru_logger import logger
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from swarms.structs.agent import Agent
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from typing import Sequence, Callable
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class AgentRearrange:
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def __init__(
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self,
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agents: Sequence[Agent] = None,
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verbose: bool = False,
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custom_prompt: str = None,
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callbacks: Sequence[Callable] = None,
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*args,
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**kwargs,
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):
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"""
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Initialize the AgentRearrange class.
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Args:
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agents (Sequence[Agent], optional): A sequence of Agent objects. Defaults to None.
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verbose (bool, optional): Whether to enable verbose mode. Defaults to False.
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custom_prompt (str, optional): A custom prompt string. Defaults to None.
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callbacks (Sequence[Callable], optional): A sequence of callback functions. Defaults to None.
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*args: Variable length argument list.
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**kwargs: Arbitrary keyword arguments.
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"""
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if not all(isinstance(agent, Agent) for agent in agents):
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raise ValueError(
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"All elements must be instances of the Agent class."
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)
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self.agents = agents
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self.verbose = verbose
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self.custom_prompt = custom_prompt
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self.callbacks = callbacks if callbacks is not None else []
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self.flows = defaultdict(list)
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def parse_pattern(self, pattern: str):
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"""
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Parse the interaction pattern and setup task flows.
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Args:
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pattern (str): The interaction pattern to parse.
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Returns:
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bool: True if the pattern parsing is successful, False otherwise.
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"""
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try:
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for flow in pattern.split(","):
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parts = [part.strip() for part in flow.split("->")]
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if len(parts) != 2:
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logging.error(
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f"Invalid flow pattern: {flow}. Each flow"
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" must have exactly one '->'."
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)
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return False
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source_name, destinations_str = parts
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source = self.find_agent_by_name(source_name)
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if source is None:
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logging.error(f"Source agent {source_name} not found.")
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return False
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destinations_names = destinations_str.split()
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for dest_name in destinations_names:
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dest = self.find_agent_by_name(dest_name)
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if dest is None:
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logging.error(
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f"Destination agent {dest_name} not" " found."
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)
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return False
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self.flows[source.agent_name].append(dest.agent_name)
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return True
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except Exception as e:
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logger.error(f"Error: {e}")
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raise e
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def self_find_agen_by_name(self, name: str):
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"""
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Find an agent by its name.
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Args:
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name (str): The name of the agent to find.
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Returns:
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Agent: The Agent object if found, None otherwise.
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"""
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for agent in self.agents:
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if agent.agent_name == name:
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return agent
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return None
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def __call__(
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self,
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agents: Sequence[Agent] = None,
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pattern: str = None,
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task: str = None,
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**tasks,
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):
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"""
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Execute the task based on the specified pattern.
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Args:
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agents (Sequence[Agent], optional): A sequence of Agent objects. Defaults to None.
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pattern (str, optional): The interaction pattern to follow. Defaults to None.
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task (str, optional): The task to execute. Defaults to None.
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**tasks: Additional tasks specified as keyword arguments.
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"""
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try:
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if agents:
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self.flows.clear() # Reset previous flows
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if not self.parse_pattern(pattern):
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return # Pattern parsing failed
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for source, destinations in self.flows.items():
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for dest in destinations:
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dest_agent = self.self_find_agen_by_name(dest)
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task = tasks.get(dest, task)
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if self.custom_prompt:
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dest_agent.run(f"{task} {self.custom_prompt}")
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else:
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dest_agent.run(f"{task} (from {source})")
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# else:
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# raise ValueError(
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# "No agents provided. Please provide agents to"
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# " execute the task."
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# )
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except Exception as e:
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logger.error(
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f"Error: {e} try again by providing agents and" " pattern"
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)
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raise e
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# # Example usage
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# try:
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# agents = [
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# Agent(agent_name=f"b{i}") for i in range(1, 4)
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# ] # Creating agents b1, b2, b3
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# agents.append(Agent(agent_name="d")) # Adding agent d
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# rearranger = Rearrange(agents)
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# # Specifying a complex pattern for task execution
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# rearranger.execute("d -> b1 b2 b3, b2 -> b3", "Analyze data")
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# except ValueError as e:
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# logging.error(e)
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