Library to easily interface with LLM API providers
Project description
🚅 litellm
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
## set ENV variables
# ENV variables can be set in .env file, too. Example in .env.example
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)
# openrouter call
response = completion("google/palm-2-codechat-bison", messages)
Code Sample: Getting Started Notebook
Stable version
pip install litellm==0.1.1
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-0.1.347.tar.gz
(34.4 kB
view hashes)
Built Distribution
litellm-0.1.347-py3-none-any.whl
(33.1 kB
view hashes)
Close
Hashes for litellm-0.1.347-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | e932d1001cd59d34640bec29f29a6c3ab46da6cf7fb8db489dc6af569b4b3743 |
|
MD5 | d1ebd67641286e8af2c9cf5b93c7b091 |
|
BLAKE2b-256 | 750ba16b44d4a74ee5a225c1bff4137a481f31853c577c455e4274b57b842f26 |