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.

⭐ liteLLM key features & benefits

liteLLM offers a variety of features and benefits that make it a top choice for various users. These are some of the key features:

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

⚙ī¸ liteLLM use cases and applications

  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.

🙋‍♂ī¸ Who uses liteLLM?

liteLLM is used by and benefiting different user groups including but not limited to some of the following users:

Software developers
Ai researchers
Data scientists

ℹī¸ Find more & support

You can also find more information, get support and follow liteLLM updates on the following channels:

How do you rate liteLLM?

5 1 ratings

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