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🚅 litellm

a simple & light 100 line package to call OpenAI, Azure, Cohere, Anthropic API Endpoints

litellm manages:

  • translating inputs to completion and embedding endpoints
  • guarantees consistent output, text responses will always be available at ['choices'][0]['message']['content']

usage

from litellm import completion

## set ENV variables
os.environ["OPENAI_API_KEY"] = "openai key"
os.environ["COHERE_API_KEY"] = "cohere key"

messages = [{ "content": "Hello, how are you?","role": "user"}]

# openai call
response = completion(model="gpt-3.5-turbo", messages=messages)

# cohere call
response = completion("command-nightly", messages)

# azure openai call
response = completion("chatgpt-test", messages, azure=True)

installation

pip install litellm

hosted version

why did I build this

  • Need for simplicity: My code started to get extremely complicated managing & translating calls between Azure, OpenAI, Cohere

Support

Contact us at ishaan@berri.ai / krrish@berri.ai

S
Description
Python SDK, Proxy Server (AI Gateway) to call 100+ LLM APIs in OpenAI (or native) format, with cost tracking, guardrails, loadbalancing and logging. [Bedrock, Azure, OpenAI, VertexAI, Cohere, Anthropic, Sagemaker, HuggingFace, VLLM, NVIDIA NIM]
Readme MIT 1.1 GiB
Languages
Python 81%
TypeScript 12.2%
JavaScript 5.9%
HTML 0.5%
HCL 0.2%