Simplify using OpenAI, Azure, Cohere, Anthropic, Replicate, Google LLM APIs. TLDR Call all LLM APIs using the chatGPT format - completion(model, messages) Consistent outputs and exceptions for all LLM APIs Logging and Error Tracking for all models

as LLM gateway for our product.

Enables unified interface for all LLMs with easy provider switching.

Versatile API calling center.

as LLM gateway for our product.

Enables unified interface for all LLMs with easy provider switching.

Versatile API calling center.

Hi Producthunt, @krrish_dholakia and I are super excited to be launching 🚅 liteLLM An Open Source Python library to standardize LLM Inputs/Outputs for 50+ models (OpenAI, Anthropic, Cohere etc) :https://github.com/BerriAI/litellm 🚨Why did we build liteLLM We needed simplicity Our code started to get extremely complicated managing & translating calls between Azure, OpenAI, Cohere, Anthropic, Replicate LLM APIs. 🚀How does it work liteLLM is a Python package that enables calling 50+ LLM API models using a consistent input/output interface - in the chatGPT format here’s an example of how liteLLM works response = completion(model="gpt-3.5-turbo", messages=messages) response = completion("claude-2", messages) response = completion("command-nightly", messages) 📞 Interested in using liteLLM? You can try out liteLLM today for free: https://github.com/BerriAI/litellm/ If you're interested in liteLLM you can meet with me https://calendly.com/d/4mp-gd3-k... or reach me on Twitter: https://twitter.com/ishaan_jaff