Overview
The LLM Token Analytics Library is a robust Python library designed
for analyzing Large Language Model (LLM) token usage patterns,
retrieving provider data, and running comprehensive pricing
simulations. This project serves as a valuable tool for developers,
data scientists, and researchers who are interested in optimizing LLM
usage costs and understanding usage dynamics.
Primary Use Cases and
Target Audience
- Developers looking to integrate LLM token
analytics into their applications.
- Data Scientists seeking to analyze and visualize
LLM token usage patterns.
- Researchers studying the economic implications of
different pricing mechanisms for LLMs.
Key Features and
Capabilities
- Monte Carlo simulations for pricing mechanism comparisons.
- REST API client for remote simulation execution and data
retrieval.
- Data collection from various LLM providers.
- Customizable pricing mechanisms and simulation
configurations.
- Full end-to-end data collection and optimization workflows.