- LiteLLM - Getting Started
LiteLLM maps exceptions across all supported providers to the OpenAI exceptions All our exceptions inherit from OpenAI's exception types, so any error-handling you have for that, should work out of the box with LiteLLM
- GitHub - BerriAI litellm: Python SDK, Proxy Server (AI Gateway) to call . . .
LiteLLM supports streaming the model response back, pass stream=True to get a streaming iterator in response Streaming is supported for all models (Bedrock, Huggingface, TogetherAI, Azure, OpenAI, etc )
- LiteLLM and MCP: One Gateway to Rule All AI Models - Medium
By abstracting the tool layer (MCP) and the model layer (LiteLLM), you create AI systems that adapt to changing requirements without code changes This is enterprise-grade flexibility at its
- A gentle introduction to LiteLLM - Medium
Born out of the illustrious Y Combinator program, LiteLLM is a lightweight, powerful abstraction layer that unifies LLM API calls across providers — whether you’re calling OpenAI, Anthropic,
- litellm · PyPI
LiteLLM supports streaming the model response back, pass stream=True to get a streaming iterator in response Streaming is supported for all models (Bedrock, Huggingface, TogetherAI, Azure, OpenAI, etc )
- LiteLLM
LLM Gateway (OpenAI Proxy) to manage authentication, loadbalancing, and spend tracking across 100+ LLMs All in the OpenAI format
- LiteLLM
The LiteLLM proxy has streamlined our management of LLMs by standardizing logging, the OpenAI API, and authentication for all models, significantly reducing operational complexities
- LiteLLM: A Comprehensive Analysis | by Vaishnavi R - Medium
LiteLLM is a Python library that simplifies the process of integrating various Large Language Model (LLM) APIs, facilitating access to over 100 large language model services from different
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