Quickstart

uv init

poetry init -n # Non-interactive mode

python -m venv .venv

uv add quraite python-dotenv langchain langchain-google-genai 

POETRY_VIRTUALENVS_IN_PROJECT=true poetry add quraite python-dotenv langchain langchain-google-genai

source .venv/bin/activate # On Windows: .venv\Scripts\activate
pip install quraite python-dotenv langchain langchain-google-genai

from dotenv import load_dotenv
from langchain.agents import create_agent
from langgraph.checkpoint.memory import InMemorySaver

load_dotenv(override=True)


def add(a: float, b: float) -> float:
    """Add two numbers"""
    return a + b


def subtract(a: float, b: float) -> float:
    """Subtract two numbers"""
    return a - b


def multiply(a: float, b: float) -> float:
    """Multiply two numbers"""
    return a * b


def divide(a: float, b: float) -> float:
    """Divide two numbers"""
    return a / b


langchain_agent = create_agent(
    model="google_genai:gemini-2.5-flash",
    tools=[add, subtract, multiply, divide],
    system_prompt="You are a helpful calculator assistant.",
    checkpointer=InMemorySaver(),
)

# To run the agent locally
if __name__ == "__main__":
    from quraite import run_agent
    from quraite.adapters.langchain_adapter import LangchainAdapter
    
    # A single line to run the agent locally and expose it to the internet using Cloudflare Tunnel
    run_agent(LangchainAdapter(agent_graph=langchain_agent), port=8080, host="0.0.0.0", tunnel="cloudflare")

source .venv/bin/activate # On Windows: .venv\Scripts\activate

python agent.py