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Tool Agent is a Python package that converts any command-line tool into a Large Language Model (LLM) agent. This allows you to interact with the tool using natural language, making it easier to use and integrate with other applications.
- Python 3.12 or later
- FastAPI
- Requests
- Pydantic
- Uvicorn
- cwltool
To install Tool Agent, run the following command:
pip install git+https://github.com/hubentu/cmdagent
To create an API, import the tool_api
function from cmdagent.remote_api
and pass in the path to a CWL file and the name of the tool:
from cmdagent.remote_api import tool_api
api = tool_api(cwl_file='tests/dockstore-tool-md5sum.cwl', tool_name='md5sum')
api.serve()
The api.serve()
method will start a RESTful API as a service, allowing you to run the tool remotely from the cloud or locally.
To create a tool agent, import the cmdagent
function from cmdagent.agent
and pass in the API instance:
from cmdagent.agent import tool_agent
ta = tool_agent(api)
md5 = ta.create_tool()
md5(input_file="tests/dockstore-tool-md5sum.cwl")
Function md5
is created automatically based on the api
.
To integrate the tool agent with Gemini, import the GenerativeModel
class from google.generativeai
and create a new instance:
import google.generativeai as genai
genai.configure(api_key="******")
model = genai.GenerativeModel(model_name='gemini-1.5-flash', tools=[md5])
chat = model.start_chat(enable_automatic_function_calling=True)
response = chat.send_message("what is md5 of tests/dockstore-tool-md5sum.cwl?")
response.text
'The md5sum of tests/dockstore-tool-md5sum.cwl is ad59d9e9ed6344f5c20ee7e0143c6c12. \n'