TokenCounter is a user-friendly tool designed to estimate the number of tokens and the corresponding costs for various AI models, including those from OpenAI and Anthropic. The tool supports multiple languages and provides real-time token counts as users input their text. TokenCounter is particularly useful for developers and businesses working with language models, allowing them to manage API costs, optimize inputs, and avoid exceeding model limits. Accurate estimation is achieved by using the tiktoken library for OpenAI models and an older method for Anthropic models, with plans to update as new information becomes available.

LiteLLM is a comprehensive framework designed to streamline the management of multiple large language models (LLMs) through a unified API. By offering a standardized interaction model similar to OpenAI’s API, users can easily leverage over 100 different LLMs without dealing with diverse formats and protocols. LiteLLM handles complexities like load balancing, fallbacks, and spending tracking across different service providers, making it easier for developers to integrate and manage various LLM services in their applications.

Token Counter offers an easy way to calculate and manage token usage for different Language Models. Users can input their prompts, and the application will instantly display the token count, helping to avoid errors related to exceeding token limits in AI applications. With a user-friendly interface, it's perfect for both casual and professional users who want to streamline their interactions with LLMs without the hassle of manual calculations.