Tiger is able to make a collabration for sharing tools with LangChain agents with this your agents will able to use Tiger functions. In this example we are asking for an multiplation question and the agent will use the tiger interpreter.python module and after that its write a python code and tiger will give the result in behind. With this agent will able to make mathematical operations in just two lines of code.

# Geting the tiger tools about interpreter.python
from upsonic import Tiger
tools = Tiger().langchain()



# Generating Agent and executor with tiger tool set
from langchain_openai import ChatOpenAI
from langchain import hub
from langchain.agents import AgentExecutor, create_openai_functions_agent

llm = ChatOpenAI(model="gpt-4", api_key="OPENAI_API_KEY")
prompt = hub.pull("hwchase17/openai-functions-agent")
agent = create_openai_functions_agent(llm, tools, prompt)
agent_executor = AgentExecutor(agent=agent, tools=tools, verbose=True)


# Asking for 15231 * 64231
agent_executor.invoke({"input": "What is the result of 15231 * 64231"})
Adding ToolsAutoGen Agents