Getting Started

[ameen-91]

Getting Started:

Tip: There is a very high chance you might get stuck while following the setup process. The fix might be as simple as opening a new terminal or something more involved. Either way if you do get stuck you can ask for help below. (though I highly recommend that you try to solve it yourself first)

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Setting up WSL:

1. If you are using windows install WSL

wsl --install

Type this into PowerShell and it should install WSL along with Ubuntu on your machine. After the installation you can open WSL through the terminal by choosing ubuntu. You will be prompted to create root credentials.

2. Update the packages

Once the above is done update all the system packages by typing this in the WSL terminal.

sudo apt update && sudo apt upgrade

3. Install VS Code

Install VS Code by typing this.

code .

Once installed you should prompted to install this extension by VSC https://marketplace.visualstudio.com/items?itemName=ms-vscode-remote.vscode-remote-extensionpack.

If not then install it manually.

Now you should be able to access WSL through VS Code.

4. Install poetry

Poetry the environment manager that we will be using.

sudo apt install pipx 
pipx ensurepath

pipx install poetry

That's it! now lets actually set up the project.

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Setting up the project:

1. Install ollama

curl -fsSL https://ollama.com/install.sh | sh

Start ollama

ollama serve

2. Download the model. We'll be using Llama3.1:8b

ollama run llama3.1:8b-instruct-q4_0

Once downloaded, the LLM backend should be setup.

3. Clone the repo

git clone https://github.com/micvitc/langforge-os

4. Install the dependencies

cd langforge-os
poetry install

Activate the virtual environment.

poetry shell

5. Now run the test

python test.py

Try interacting with the model. Check if the response times are reasonable.

Alright that's it! Your local dev environment is setup.

You can now create a fork of the repo to work on. Soon enough issues will added and you'll be assigned to them. (I'll need a little time for scoping)

In the meantime you can check out some examples from langgraph docs
We'll be re-implementing most of the basic structures from there (cut-copy-paste), at-least in the beginning anyways.

If you have any questions feel free to ask.

[ameen-91]

Also inform here once you are done