langroid-examples 0.1.15

Add your description here

langroid-examples

Examples of using the Langroid Multi-Agent Programming framework to build LLM applications.

:warning: Many of the examples in the examples folder in this repo are copied from the corresponding folder in the core langroid repo, although the core repo is generally more updated. We occasionally update this repo with the latest versions from the langroid repo. However, there are some examples in this repo that are not in the core langroid repo.

Set up various keys in the .env file or as environment variables

Many of the examples require API keys for LLMs, vector-stores, redis-cache, etc. Follow the instructions in the main langroid repo to set up these keys in the .env file, or explicitly set the environment variables in your shell using, e.g., export GEMINI_API_KEY=your_key.

Use uv to run the examples

Install uv, see here

Then run any of the examples as in the examples below:

uv run examples/basic/chat.py
uv run examples/docqa/chat.py

The chainlit examples can be run using:

uv run chainlit run examples/basic/simplest.py

This auto-installs a virtual env with the right dependencies and runs the example. The first run may take a little bit of time as it installs the dependencies.

Many of the non-chainlit scripts take additional flags such as the following, but see the specific scripts for details:

• -m to specify an LLM, e.g. -m ollama/mistral.
• -nc turn off cache retrieval for LLM responses, i.e., get fresh (rather than cached) responses each time you run it.
• -d turns on debug mode, showing more detail such as prompts etc.

All of the examples are best run on the command-line, preferably in a nice terminal like Iterm2.

For developers/contributors

First-time set up of the project with uv

To set up the project the first time using uv, we did the following (it was only needed one time, but recording it here for future reference):

Initialize the project as an application named examples with Python 3.11:

uv init --app --name examples --python 3.11

This creates a pyproject.toml with the appropriate entries.

Create virtual env and install dependencies

Then create a virtual env, activate it and install the dependencies:

uv venv --python 3.11
. ./.venv/bin/activate 
uv pip install -r pyproject.toml 

Ubuntu

On ubuntu, for the SQL applications, you'll need to make sure a few dependencies are installed including:

• postgresql

sudo apt-get install libpq-dev

• mysql dev

sudo apt install libmysqlclient-dev

• and if you are on an earlier version of ubuntu, then python11

sudo apt install python3.11-dev build-essential

Docker Instructions

We provide a containerized version of this repo via this Docker Image. All you need to do is set up environment variables in the .env file. Please follow these steps to setup the container:

# get the .env file template from `langroid` repo
wget https://github.com/langroid/langroid/blob/main/.env-template .env

# Edit the .env file with your favorite editor (here nano):
# add API keys as explained above
nano .env

# launch the container
docker run -it  -v ./.env:/.env langroid/langroid

# Use this command to run any of the examples
python examples/<Path/To/Example.py>