langgraph/agents/summarize_agent/graph.py

from typing import TypedDict
import os 
from dotenv import load_dotenv
from google import genai
from langgraph.graph import StateGraph
from google.genai import types
load_dotenv()

GOOGLE_API_KEY = os.getenv("GOOGLE_API_KEY")






class State(TypedDict):
    user_input: str
    summary: str


def summarize_user_input(state: State) -> State:
    client = genai.Client(api_key=GOOGLE_API_KEY)
    response = client.models.generate_content(
    model="gemini-2.0-flash", contents=state["user_input"], config=types.GenerateContentConfig(
        system_instruction="You are a helpful assistant that summarizes user input.")
    )
    
    state["summary"] = response.text
    return state



builder = StateGraph(State)

builder.add_node("summarize", summarize_user_input)

builder.add_edge("__start__", "summarize")
builder.add_edge("summarize", "__end__")

graph = builder.compile()
graph.name = "summarize_agent"