| Name | liteLLM |
| Overview | liteLLM is an open-source library that simplifies the process of working with large language model (LLM) completions and embeddings. It provides users with hassle-free access to advanced capabilities, allowing for uncomplicated implementation and integration. Additionally, with features such as GitHub-hosted source and collaboration, easy installation via pip, and straightforward configuration of environment variables for API keys, liteLLM enhances the workflow for developers and researchers. By following the easy implementation steps, users can efficiently utilize supported models from providers such as OpenAI and Cohere, fostering a more productive coding experience. |
| Key features & benefits |
|
| Use cases and applications |
|
| Who uses? | Software developers, AI researchers, Data scientists |
| Pricing | The open-source SDK and self-hosted gateway are available free of licence fees. Model-provider usage and your hosting costs are separate. Enterprise features and support use a custom annual licence; see current pricing. |
| Tags | AI, LLM, Open Source, Language Model, Programming |
| App available? | A Python SDK for application code and a self-hosted gateway with a browser-based Admin UI are available. |
Sources: Pricing; Python SDK; Gateway and Admin UI; Official GitHub repository.
Image context: The existing image shows an earlier public LiteLLM homepage and sample code. The displayed API-key text is a placeholder, not a working credential; the image is not evidence of a tested deployment. Its capture date is unavailable.








