https://github.com/liteobject/demo-litellm
A quick demonstration of LiteLLM
https://github.com/liteobject/demo-litellm
litellm llm llm-api
Last synced: about 1 month ago
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A quick demonstration of LiteLLM
- Host: GitHub
- URL: https://github.com/liteobject/demo-litellm
- Owner: LiteObject
- Created: 2024-04-29T15:42:58.000Z (almost 2 years ago)
- Default Branch: main
- Last Pushed: 2024-04-30T02:50:37.000Z (almost 2 years ago)
- Last Synced: 2025-06-14T21:46:55.880Z (8 months ago)
- Topics: litellm, llm, llm-api
- Language: Python
- Homepage:
- Size: 3.91 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Demo LiteLLM
LiteLLM stands for Lightweight Large Language Model Library. It's an open-source Python library designed to simplify the use of various large language models (LLMs) from different providers.
## Here are some key features of LiteLLM:
- **Unified API**: LiteLLM provides a consistent interface for interacting with different LLMs. This eliminates the need to learn and use provider-specific APIs, saving you time and effort.
- **Supports Multiple Providers**: It can work with various LLM providers like OpenAI, Azure, Cohere, Hugging Face, and more. This gives you flexibility in choosing the LLM that best suits your needs.
- **Standardized Output**: LiteLLM ensures the responses from different LLMs are formatted consistently, making it easier to process and integrate results across various models.
- **Simplified Integration**: It helps streamline the integration of LLMs into your projects by providing a user-friendly way to call LLM functionalities like text completion and embedding generation.
## Links
- [GitHUb / BerriAI / LiteLLM](https://github.com/BerriAI/litellm)
- [LiteLLM - Getting Started](https://docs.litellm.ai/docs/)
- [Docker, Deploying LiteLLM Proxy](https://docs.litellm.ai/docs/proxy/deploy)