liteLLM

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What is liteLLM?

Litellm is an open-source library designed to simplify large language model (LLM) completion and embedding calls. By leveraging Litellm, users can easily access completion and embedding capabilities through simple implementation. With Litellm, you can streamline your coding process with features like GitHub integration, pip installation, and environment variable settings. By following the provided implementation code, you can quickly import completion and set environment variables for API keys, making it convenient to work with models like GPT-3.5 Turbo and Cohere. Overall, Litellm offers a user-friendly solution for enhancing LLM capabilities in your projects.

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⭐ liteLLM Core features

  • ✔️ Simplify large language model (LLM) completion and embedding calls
  • ✔️ Access completion and embedding capabilities through simple implementation
  • ✔️ GitHub integration for streamlined coding process
  • ✔️ pip installation for easy setup
  • ✔️ Environment variable settings for configuring API keys

⚙️ liteLLM use case ideas

  1. Easily integrate completion and embedding capabilities from large language models like GPT-3.5 Turbo and Cohere into your projects using Litellm with minimal implementation steps and environment variable settings.
  2. Facilitate seamless coding workflows by leveraging Litellm's built-in GitHub integration for easy collaboration and version control when working with language models.
  3. Simplify the process of accessing and utilizing completion and embedding functions by quickly installing Litellm through pip and ensuring smooth API key setup for improved efficiency in working with large language models.

🙋‍♂️ Users of this tool

Software developers
Ai researchers
Data scientists
Related Searches
language model completion open-source library API key integration
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liteLLM vs LLM Pricing

❓ liteLLM FAQ

liteLLM is an open-source library that simplifies large language model (LLM) completion and embedding. It offers easy access to these features through GitHub, pip installation, and environment variable settings, using models like GPT-3.5 Turbo and Cohere for streamlined coding and enhanced LLM capabilities.
Getting started with liteLLM is easy! Simply visit the official website and sign up for an account to start.
liteLLM uses a Freemium pricing model , meaning there is a free tier along with other options.
The typical users of liteLLM include:
  • Software developers
  • Ai researchers
  • Data scientists
Follow liteLLM on social media to stay updated with the latest news and features:
liteLLM enjoys a popularity rating of 5.34/10 on our platform as of today compared to other tools. It receives an estimated average of 92.1K visits per month, indicating interest and engagement among users.