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Python Specific Resources

QuickStart​

Set up your local development environment to start building with Ahnlich

Install Python​

Go to the official Python website

Ensure that Python is installed on your system, and verify its version by running the following command in your terminal:

  python3 -V

Example output:

  Python 3.13.3

Set Up a Local Python Environment​

Use a Python virtual environment to ensure your Ahnlich client python sdk runs in an isolated and consistent setup using the command to

Create a virtual environment:

  python3 -m venv env

and activate the virtual environment using:

  source env/bin/activate

Install the Ahnlich Client PY​

You can install the Ahnlich Python client sdk using either Poetry or pip. Choose one of the methods below:

Install with Poetry​

If you don’t already have Poetry installed, set it up by running:

  curl -sSL https://install.python-poetry.org | python3 -

Ensure Poetry is available in your PATH:

  export PATH="$HOME/.local/bin:$PATH"

Install the Ahnlich Python client:

  poetry add ahnlich-client-py

Install with pip​

If you don’t have pip installed, first install it by running:

  sudo apt update  
  sudo apt install python3-pip -y

On macOS, you can install pip with brew install python3 or by downloading Python from python.org

Once pip is available, install the Ahnlich Python client sdk using:

  pip3 install ahnlich-client-py

Package Information​

The Ahnlich Python client provides a gRPC-based SDK for interacting with Ahnlich-DB (vector storage, similarity search) and Ahnlich-AI (semantic models).

Modules​

  • grpclib – async gRPC client library.

  • ahnlich_client_py.grpc.db.server – contains server responses for all DB queries.

  • ahnlich_client_py.grpc.ai.server – contains server responses for AI queries.

Initialization​

Every request starts by creating a client connection to the Ahnlich server:

import asyncio
from grpclib.client import Channel
from ahnlich_client_py.grpc.services import db_service

async def init_client():

  async with Channel(host="127.0.0.1", port=1369) as channel:

    client = db_service.DbServiceStub(channel)

    # client is now ready for requests

if __name__ == "__main__":

  asyncio.run(init_client())