Library to easily interface with LLM API providers
Project description
🚅 litellm
a light package to simplify calling OpenAI, Azure, Cohere, Anthropic, Huggingface API Endpoints. It manages:
- translating inputs to the provider's completion and embedding endpoints
- guarantees consistent output, text responses will always be available at
['choices'][0]['message']['content']
- exception mapping - common exceptions across providers are mapped to the OpenAI exception types
usage
Demo - https://litellm.ai/
Read the docs - https://litellm.readthedocs.io/en/latest/
quick start
pip install litellm
from litellm import completion
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)
# hugging face call
response = completion(model="stabilityai/stablecode-completion-alpha-3b-4k", messages=messages, hugging_face=True)
# openrouter call
response = completion("google/palm-2-codechat-bison", messages)
Code Sample: Getting Started Notebook
Stable version
pip install litellm==0.1.345
Streaming Queries
liteLLM supports streaming the model response back, pass stream=True
to get a streaming iterator in response.
Streaming is supported for OpenAI, Azure, Anthropic models
response = completion(model="gpt-3.5-turbo", messages=messages, stream=True)
for chunk in response:
print(chunk['choices'][0]['delta'])
# claude 2
result = completion('claude-2', messages, stream=True)
for chunk in result:
print(chunk['choices'][0]['delta'])
support / talk with founders
- Our calendar 👋
- Community Discord 💭
- Our numbers 📞 +1 (770) 8783-106 / +1 (412) 618-6238
- Our emails ✉️ ishaan@berri.ai / krrish@berri.ai
why did we build this
- Need for simplicity: Our code started to get extremely complicated managing & translating calls between Azure, OpenAI, Cohere
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
litellm-0.1.375.tar.gz
(39.0 kB
view hashes)
Built Distribution
litellm-0.1.375-py3-none-any.whl
(38.5 kB
view hashes)
Close
Hashes for litellm-0.1.375-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 7e449947d03e52183afb55497cdf25f4077b79e3b3970686425ed09264d39787 |
|
MD5 | 76757cc46c2fb1ab5b49471eeae7886a |
|
BLAKE2b-256 | 7e986ea7c661576f8b3fb79143454c970eb98fb3db3ad9d8510f811dfc81d709 |