From b6e284b29830092bb83e543e0635c61b1674f2c6 Mon Sep 17 00:00:00 2001
From: Kye <kye@apacmediasolutions.com>
Date: Mon, 25 Sep 2023 13:00:07 -0400
Subject: [PATCH] clean up

---
 mmi.py                  |  5 +++
 swarms/swarms/swarms.py | 96 -----------------------------------------
 2 files changed, 5 insertions(+), 96 deletions(-)
 create mode 100644 mmi.py
 delete mode 100644 swarms/swarms/swarms.py

diff --git a/mmi.py b/mmi.py
new file mode 100644
index 00000000..85df7938
--- /dev/null
+++ b/mmi.py
@@ -0,0 +1,5 @@
+from swarms import DialogueSimulator, Worker
+
+collab = DialogueSimulator(Worker, DialogueSimulator.select_next_speaker)
+collab.start("My name is Plinus and I am a worker", "How are you?")
+
diff --git a/swarms/swarms/swarms.py b/swarms/swarms/swarms.py
deleted file mode 100644
index 1e311a2b..00000000
--- a/swarms/swarms/swarms.py
+++ /dev/null
@@ -1,96 +0,0 @@
-import asyncio
-import logging
-from typing import Optional
-
-from langchain import OpenAI
-
-from swarms.boss.boss_node import Boss
-from swarms.workers.worker import Worker
-
-logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s')
-
-# ---------- Constants ----------
-ROOT_DIR = "./data/"
-
-class HierarchicalSwarm:
-    def __init__(
-        self, 
-        openai_api_key: Optional[str] = "", 
-        use_vectorstore: Optional[bool] = True, 
-        use_async: Optional[bool] = True, 
-        worker_name: Optional[str] = "Swarm Worker AI Assistant",
-        verbose: Optional[bool] = False,
-        human_in_the_loop: Optional[bool] = True, 
-        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",
-        worker_prompt: Optional[str] = None,
-        temperature: Optional[float] = 0.5,
-        max_iterations: Optional[int] = None,
-        logging_enabled: Optional[bool] = True
-    ):
-        self.openai_api_key = openai_api_key
-        self.use_vectorstore = use_vectorstore
-        self.use_async = use_async
-        self.worker_name = worker_name
-        self.human_in_the_loop = human_in_the_loop
-        self.boss_prompt = boss_prompt
-        self.temperature = temperature
-        self.max_iterations = max_iterations
-        self.logging_enabled = logging_enabled
-        self.verbose = verbose
-
-        self.worker_node = Worker(
-            openai_api_key=self.openai_api_key,
-            temperature=self.temperature,
-            human_in_the_loop=self.human_in_the_loop,
-            verbose=self.verbose
-        )
-
-        self.boss_node = Boss(
-            api_key=self.openai_api_key,
-            worker_node=self.worker_node,
-            llm_class=OpenAI,
-            max_iterations=self.max_iterations,
-            verbose=self.verbose
-        )
-
-        self.logger = logging.getLogger()
-        if not logging_enabled:
-            self.logger.disabled = True
-
-    def run(self, objective):
-        try:
-            self.boss_node.task = self.boss_node.create_task(objective)
-            logging.info(f"Running task: {self.boss_node.task}")
-            if self.use_async:
-                loop = asyncio.get_event_loop()
-                result = loop.run_until_complete(self.boss_node.run())
-            else:
-                result = self.boss_node.run()
-            logging.info(f"Completed tasks: {self.boss_node.task}")
-            return result
-        except Exception as e:
-            logging.error(f"An error occurred in run: {e}")
-            return None
-
-def swarm(
-    api_key: Optional[str]="", 
-    objective: Optional[str]=""
-):
-    if not api_key or not isinstance(api_key, str):
-        logging.error("Invalid OpenAI key")
-        raise ValueError("A valid OpenAI API key is required")
-    if not objective or not isinstance(objective, str):
-        logging.error("Invalid objective")
-        raise ValueError("A valid objective is required")
-    try:
-        swarms = HierarchicalSwarm(api_key, use_async=False)
-        result = swarms.run(objective)
-        if result is None:
-            logging.error("Failed to run swarms")
-        else:
-            logging.info(f"Successfully ran swarms with results: {result}")
-        return result
-    except Exception as e:
-        logging.error(f"An error occured in swarm: {e}")
-        return None
-    
\ No newline at end of file