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128 lines
4.6 KiB
128 lines
4.6 KiB
import asyncio
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import logging
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from typing import Optional
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from langchain import LLMChain, OpenAI, PromptTemplate
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from swarms.agents.tools.main import WebpageQATool, process_csv
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from swarms.boss.boss_node import BossNode
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from swarms.workers.worker_node import WorkerNode
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logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s')
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# TODO: Pass in abstract LLM class that can utilize Hf or Anthropic models, Move away from OPENAI
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# TODO: ADD Universal Communication Layer, a ocean vectorstore instance
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# TODO: BE MORE EXPLICIT ON TOOL USE, TASK DECOMPOSITION AND TASK COMPLETETION AND ALLOCATION
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# TODO: Add RLHF Data collection, ask user how the swarm is performing
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# TODO: Create an onboarding process if not settings are preconfigured like `from swarms import Swarm, Swarm()` => then initiate onboarding name your swarm + provide purpose + etc
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# ---------- Constants ----------
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ROOT_DIR = "./data/"
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class HierarchicalSwarm:
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def __init__(
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self,
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openai_api_key: Optional[str] = "",
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use_vectorstore: Optional[bool] = True,
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embedding_size: Optional[int] = None,
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use_async: Optional[bool] = True,
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worker_name: Optional[str] = "Swarm Worker AI Assistant",
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verbose: Optional[bool] = False,
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human_in_the_loop: Optional[bool] = True,
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boss_prompt: Optional[str] = "You are an Boss in a swarm who performs one task based on the following objective: {objective}. Take into account these previously completed tasks: {context}.\n",
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worker_prompt: Optional[str] = None,
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temperature: Optional[float] = 0.5,
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max_iterations: Optional[int] = None,
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logging_enabled: Optional[bool] = True):
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self.openai_api_key = openai_api_key
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self.use_vectorstore = use_vectorstore
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self.use_async = use_async
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self.worker_name = worker_name
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self.human_in_the_loop = human_in_the_loop
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self.embedding_size = embedding_size
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self.boss_prompt = boss_prompt
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self.temperature = temperature
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self.max_iterations = max_iterations
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self.logging_enabled = logging_enabled
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self.verbose = verbose
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self.worker_node = WorkerNode(
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openai_api_key=self.openai_api_key,
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worker_name=self.worker_name,
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temperature=self.temperature,
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human_in_the_loop=self.human_in_the_loop,
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verbose=self.verbose
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)
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self.boss_node = BossNode(
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objective="",
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api_key=self.openai_api_key,
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vectorstore=None,
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worker_node=self.worker_node,
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llm_class=OpenAI,
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max_iterations=self.max_iterations,
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verbose=self.verbose
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)
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self.logger = logging.getLogger()
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if not logging_enabled:
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self.logger.disabled = True
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def run(self, objective):
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"""
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Run the swarm with the given objective
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Params:
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objective(str): The task
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"""
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try:
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self.boss_node.task = self.boss_node.create_task(objective)
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logging.info(f"Running task: {self.boss_node.task}")
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if self.use_async:
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loop = asyncio.get_event_loop()
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result = loop.run_until_complete(self.boss_node.run())
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else:
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result = self.boss_node.run()
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logging.info(f"Completed tasks: {self.boss_node.task}")
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return result
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except Exception as e:
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logging.error(f"An error occurred in run: {e}")
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return None
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def swarm(
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api_key: Optional[str]="",
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objective: Optional[str]="",
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):
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"""
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Run the swarm with the given API key and objective.
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Parameters:
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api_key (str): The OpenAI API key. Default is an empty string.
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objective (str): The objective. Default is an empty string.
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Returns:
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The result of the swarm.
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"""
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if not api_key or not isinstance(api_key, str):
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logging.error("Invalid OpenAI key")
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raise ValueError("A valid OpenAI API key is required")
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if not objective or not isinstance(objective, str):
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logging.error("Invalid objective")
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raise ValueError("A valid objective is required")
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try:
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swarms = HierarchicalSwarm(api_key, use_async=False) #logging_enabled=logging_enabled) # Turn off async
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result = swarms.run(objective)
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if result is None:
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logging.error("Failed to run swarms")
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else:
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logging.info(f"Successfully ran swarms with results: {result}")
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return result
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except Exception as e:
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logging.error(f"An error occured in swarm: {e}")
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return None |