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Adding an empty retriever. Next, we'll add more tools.
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from typing import TypedDict, Annotated
from tool import add, substract, multiply, divide, DuckDuckGoSearchTool, TavilySearchTool, WikipediaSearchTool, ArxivSearchTool, PubmedSearchTool
from os import getenv
from langgraph.graph.message import add_messages
from langchain_core.messages import AnyMessage, SystemMessage, HumanMessage, AIMessage
from langgraph.graph import StateGraph, START, END, MessagesState
from langgraph.prebuilt import ToolNode, tools_condition
from langchain_huggingface import HuggingFaceEndpoint, ChatHuggingFace
from langchain_google_genai import ChatGoogleGenerativeAI
from langchain_groq import ChatGroq
HUGGINGFACEHUB_API_TOKEN = getenv("HUGGINGFACEHUB_API_TOKEN")
# load the system prompt from the file
with open("prompt.txt", "r", encoding="utf-8") as f:
system_prompt = f.read()
# System message
sys_msg = SystemMessage(content=system_prompt)
# Loading the assistant
chat = ChatGoogleGenerativeAI(model="gemini-2.0-flash", temperature=0)
tools = [add,
substract,
multiply,
divide,
DuckDuckGoSearchTool,
TavilySearchTool,
WikipediaSearchTool,
ArxivSearchTool,
PubmedSearchTool]
chat_with_tools = chat.bind_tools(tools)
def simple_graph():
## Defining our nodes
def assistant(state: MessagesState):
"""Assistant node"""
return {"messages": [chat_with_tools.invoke(state["messages"])]}
def retriever(state: MessagesState):
"""Retriever node"""
# I don't want to use a Retriever / Using similar questions.
return {"messages": [sys_msg] + state["messages"]}
# Build graph / nodes
builder = StateGraph(MessagesState)
builder.add_node("retriever", retriever) # Assistant
builder.add_node("assistant", assistant) # Assistant
builder.add_node("tools", ToolNode(tools)) # Tools
# Logic / edges
builder.add_edge(START, "retriever")
builder.add_edge("retriever", "assistant")
builder.add_conditional_edges("assistant", tools_condition)
builder.add_edge("tools", "assistant")
graph = builder.compile()
return graph