from langchain_core.messages import HumanMessage, ToolMessage
from langchain_openai import ChatOpenAI
llm = ChatOpenAI(model="gpt-3.5-turbo-0125")
from langchain_core.tools import tool
@tool
def add(a: int, b: int) -> int:
"""Adds a and b.
Args:
a: first int
b: second int
"""
return a + b
@tool
def multiply(a: int, b: int) -> int:
"""Multiplies a and b.
Args:
a: first int
b: second int
"""
return a * b
@tool
def ssh_tool(un:str, pwd:str) ->
print ("About to add the tools")
tools = [add, multiply]
llm_with_tools = llm.bind_tools(tools)
print("Tools are bound with the LLM")
messages = [HumanMessage("How much is 3 & 300 added upto?")]
print("Message created invoking LLM with the tools")
ai_msg = llm_with_tools.invoke(messages)
print("Tool invoked and got the response as ai")
messages.append(ai_msg)
for tool_call in ai_msg.tool_calls:
selected_tool = {"add": add, "multiply": multiply}[tool_call["name"].lower()]
tool_output = selected_tool.invoke(tool_call["args"])
print("tool_output is ",tool_output)
messages.append(ToolMessage(tool_output, tool_call_id=tool_call["id"]))
print("Total messages retrieved are ", messages)
references:
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