main 0.1.3.0
Kye 2 years ago
parent 09c7cf1803
commit 8f26ade149

@ -3,7 +3,7 @@ from setuptools import setup, find_packages
setup(
name = 'swarms',
packages = find_packages(exclude=[]),
version = '0.1.2',
version = '0.1.3',
license='MIT',
description = 'Swarms - Pytorch',
author = 'Kye Gomez',

@ -21,12 +21,8 @@ from langchain.agents import ZeroShotAgent, Tool, AgentExecutor
from langchain import OpenAI, SerpAPIWrapper, LLMChain
# Define your embedding model
# embeddings_model = OpenAIEmbeddings()
# Initialize the vectorstore as empty
import faiss
# from swarms.agents.workers.auto_agent import AutoGPT
import faiss
@ -57,7 +53,7 @@ from langchain.chains.qa_with_sources.loading import load_qa_with_sources_chain,
from langchain.tools.human.tool import HumanInputRun
# from swarms.agents.workers.auto_agent import MultiModalVisualAgent
from swarms.agents.workers.auto_agent import multimodal_agent_tool
from swarms.agents.workers import multimodal_agent_tool
from swarms.tools.main import Terminal, CodeWriter, CodeEditor, process_csv, WebpageQATool
from swarms.tools.main import math_tool
@ -147,11 +143,11 @@ class WorkerNode:
#inti worker node with llm
worker_node = WorkerNode(llm=llm, tools=tools, vectorstore=vectorstore)
#create an agent within the worker node
worker_node.create_agent(ai_name="AI Assistant", ai_role="Assistant", human_in_the_loop=True, search_kwargs={})
# #create an agent within the worker node
# worker_node.create_agent(ai_name="AI Assistant", ai_role="Assistant", human_in_the_loop=True, search_kwargs={})
#use the agent to perform a task
worker_node.run_agent("Find 20 potential customers for a Swarms based AI Agent automation infrastructure")
# #use the agent to perform a task
# worker_node.run_agent("Find 20 potential customers for a Swarms based AI Agent automation infrastructure")
#======================================> WorkerNode

@ -0,0 +1 @@
from swarms.agents.workers.auto_agent import multimodal_agent_tool
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