clean up

Former-commit-id: 602b479511

README.md

@@ -44,17 +44,47 @@ We have a small gallery of examples to run here, [for more check out the docs to
 - `MultiAgentDebate` is a simple class that enables multi agent collaboration.
 
 ```python
-from swarms import Worker, MultiAgentDebate, select_speaker
+from swarms.workers import Worker
+from swarms.swarms import MultiAgentDebate, select_speaker
+from langchain.models import OpenAIChat
 
-# Initialize agents
-worker1 = Worker(openai_api_key="", ai_name="Optimus Prime")
-worker2 = Worker(openai_api_key="", ai_name="Bumblebee")
-worker3 = Worker(openai_api_key="", ai_name="Megatron")
+llm = OpenAIChat(
+    model_name='gpt-4', 
+    openai_api_key="api-key", 
+    temperature=0.5
+)
+
+node = Worker(
+    llm=llm,
+    ai_name="Optimus Prime",
+    ai_role="Worker in a swarm",
+    external_tools = None,
+    human_in_the_loop = False,
+    temperature = 0.5,
+)
+
+node2 = Worker(
+    llm=llm,
+    ai_name="Bumble Bee",
+    ai_role="Worker in a swarm",
+    external_tools = None,
+    human_in_the_loop = False,
+    temperature = 0.5,
+)
+
+node3 = Worker(
+    llm=llm,
+    ai_name="Bumble Bee",
+    ai_role="Worker in a swarm",
+    external_tools = None,
+    human_in_the_loop = False,
+    temperature = 0.5,
+)
 
 agents = [
-    worker1,
-    worker2,
-    worker3
+    node,
+    node2,
+    node3
 ]
 
 # Initialize multi-agent debate with the selection function

llm.py

@@ -1,4 +0,0 @@
-from swarms.models import OpenAIChat
-
-llm = OpenAIChat(openai_api_key="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")
-out = llm("Hello, I am a robot and I like to talk about robots.")

playground/swarms/group_chat.py

@@ -0,0 +1 @@
+from swarms.swarms import GroupChatManager

swarms/models/mistral.py

@@ -1,7 +1,9 @@
 import torch
 from transformers import AutoModelForCausalLM, AutoTokenizer
+
 from swarms.agents.message import Message
 
+
 class Mistral:
     """
     Mistral
@@ -150,4 +152,3 @@ class Mistral:
         for token in response.split():
             yield token
 
-

swarms/structs/nonlinear_workflow.py

@@ -2,3 +2,20 @@ from typing import List, Dict, Any, Union
 from concurrent.futures import Executor, ThreadPoolExecutor, as_completed
 from graphlib import TopologicalSorter
 
+class Task:
+    def __init__(
+        self,
+        id: str, 
+        parents: List["Task"] = None,
+        children: List["Task"] = None
+    ):
+        self.id = id
+        self.parents = parents
+        self.children = children
+    
+    def can_execute(self):
+        raise NotImplementedError
+
+    def execute(self):
+        raise NotImplementedError
+    

swarms/swarms/groupchat.py

@@ -70,7 +70,8 @@ class GroupChat:
         return "\n".join(
             [f"{worker.ai_name}: {worker.system_message}" for worker in self.workers] 
         )
-    
+
+
 
 class GroupChatManager(Worker):
     def __init__(