tracker-py

eval-track/tracker

This library is LLM-ML observability tool for Python.

Usage

Installation

Prerequisites

• Python 3.8 or higher
• uv package manager
• Task (optional, for development tasks)

Install using uv

uv pip install "git+https://github.com/tied-inc/eval-track/tracker"

Install using Task (recommended for development)

# Install Task if not already installed
npm install -g @go-task/cli

# Install uv if not already installed
task setup-uv

# Install dependencies
task install-tracker

Usage Examples

• Advanced FastAPI Usage
  • Demonstrates advanced patterns including async processing, error handling, and Pydantic model integration
• API Orchestration
  • Shows how to use this library for tracing and monitoring distributed API calls

Docker

1. authenticating with your personal access token
   • https://docs.github.com/en/packages/working-with-a-github-packages-registry/working-with-the-container-registry#authenticating-with-a-personal-access-token-classic
2. pull images from registry

echo {YOUR_TOKEN} | docker login ghcr.io -u USERNAME --password-stdin
docker pull ghcr.io/tied-inc/eval-track:latest