import os from langchain_google_genai import ChatGoogleGenerativeAI from langchain_groq import ChatGroq from langgraph.graph import START, StateGraph, MessagesState from langgraph.prebuilt import tools_condition from langgraph.prebuilt import ToolNode from langchain_core.messages import SystemMessage, HumanMessage from tools import * from typing import TypedDict tools = [add, substract, multiply, divide, web_search] def build_agent(): llm = ChatGroq(model="qwen-qwq-32b", temperature=0) # ChatGoogleGenerativeAI(model="gemini-2.0-flash", temperature=0) chat_with_tools = llm.bind_tools(tools) def assistant(state: MessagesState): return { "messages": [chat_with_tools.invoke(state["messages"])], } def enhancer(state: MessagesState): sys_msg = """ You are a helpful assistant tasked with answering questions using a set of tools. Now, I will ask you a question. Report your thoughts, and finish your answer with the following template: FINAL ANSWER: [YOUR FINAL ANSWER]. YOUR FINAL ANSWER should be a number OR as few words as possible OR a comma separated list of numbers and/or strings. If you are asked for a number, don't use comma to write your number neither use units such as $ or percent sign unless specified otherwise. If you are asked for a string, don't use articles, neither abbreviations (e.g. for cities), and write the digits in plain text unless specified otherwise. If you are asked for a comma separated list, apply the above rules depending of whether the element to be put in the list is a number or a string. Your answer should only start with "FINAL ANSWER: ", then follows with the answer. """ return { "messages": [sys_msg] + state["messages"] } ## The graph builder = StateGraph(MessagesState) # Define nodes: these do the work builder.add_node("enhancer", enhancer) builder.add_node("assistant", assistant) builder.add_node("tools", ToolNode(tools)) # Define edges: these determine how the control flow moves builder.add_edge(START, "enhancer") builder.add_edge("enhancer", "assistant") builder.add_conditional_edges( "assistant", # If the latest message requires a tool, route to tools # Otherwise, provide a direct response tools_condition, ) builder.add_edge("tools", "assistant") return builder.compile()