LLM API Cost Calculator

Streamlit app to calculate and compare the costs of various LLM APIs based on input parameters.

Features

• Fetches up-to-date pricing data from docsbot.ai
• Allows user input for tokens and API calls
• Filters results by provider
• Calculates total and relative costs
• Visualizes costs with an interactive bar chart

Dependencies

• pandas
• plotly
• requests
• beautifulsoup4
• streamlit

Key Functions

fetch_llm_api_cost()

Fetches and parses LLM API cost data from the website. Uses caching to reduce API calls.

load_data()

Loads and preprocesses the LLM API cost data into a pandas DataFrame.

calculate_costs()

Calculates total and relative costs for each model based on user inputs.

create_total_cost_chart()

Creates a horizontal bar chart visualizing total costs by model.

Main Application Flow

1. Load and preprocess data
2. Display user input sidebar for parameters and filtering
3. Calculate costs based on user inputs
4. Display results in a table and chart

Usage

Run the application with:

streamlit run app.py