Gain insights into interactions between your code, LLMs, vector databases, and more. Discover a comprehensive tool for clear observability and effective debugging of LLM applications.
Before you begin, ensure you have met the following requirements:
- You have installed Python 3.6+.
First, clone the repository to your local machine using the following command:
git clone [repository-url]
cd [repository-name]
Create a virtual environment using venv
:
python3 -m venv venv
Activate the virtual environment:
- On Windows:
venv\Scripts\activate
- On MacOS/Linux:
source venv/bin/activate
Install the required packages using pip
:
pip install -r requirements.txt
Create a .env
file in the root directory of the project. Use the .env.sample
file as a reference:
cp .env.sample .env
Open the .env
file and update the key values as necessary.
To run any in-class examples, execute the specific file directly from the command line. For example:
python3 in_class_examples/[file-name]