Library to easily interface with LLM API providers
Project description
🚅 litellm
Get Support / Join the community 👉
a simple & light 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
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.
response = completion(model="gpt-3.5-turbo", messages=messages, stream=True)
for chunk in response:
print(chunk['choices'][0]['delta'])
hosted version
why did we build this
- Need for simplicity: Our code started to get extremely complicated managing & translating calls between Azure, OpenAI, Cohere
Support
Contact us at ishaan@berri.ai / krrish@berri.ai
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-0.1.363.tar.gz
(35.4 kB
view hashes)
Built Distribution
litellm-0.1.363-py3-none-any.whl
(34.8 kB
view hashes)
Close
Hashes for litellm-0.1.363-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 514539ec634fff17c034b733e319af2a04acd282ce911d894d23189244191f9a |
|
MD5 | 13631440fb6190af0a07001ccd768b83 |
|
BLAKE2b-256 | e36339076c1fff2b7244a532971cfbe8b58013ad3e5eabc73512b76018e3fd89 |