litellm-mirror/litellm/proxy
2023-11-29 16:09:31 -08:00
..
example_config_yaml (docs) example hosted litellm yaml 2023-11-21 16:59:33 -08:00
queue fix(celery_app.py): add retries to worker 2023-11-21 20:07:16 -08:00
tests (test) load test completion 2023-11-28 15:44:56 -08:00
.gitignore fix(gitmodules): remapping to new proxy 2023-10-12 21:23:53 -07:00
__init__.py update proxy cli 2023-09-28 16:24:41 -07:00
config.yaml (Feat) update config.yaml example on proxy 2023-11-23 10:54:30 -08:00
lambda.py Add mangum. 2023-11-23 00:04:47 -05:00
load_test_log.txt (test) load test proxy 2023-11-21 21:04:46 -08:00
openapi.json (feat) add swagger.json for litellm proxy 2023-10-13 20:41:04 -07:00
proxy_cli.py (feat) --health for checking config models 2023-11-27 12:13:21 -08:00
proxy_server.py (fix) proxy: /health works with router updates 2023-11-29 16:09:31 -08:00
README.md (docs) update readme proxy server 2023-11-17 17:40:44 -08:00
schema.prisma (fix) proxy: prisma.schema 2023-11-23 20:11:42 -08:00
start.sh fix(factory.py): fixing llama-2 non-chat models prompt templating 2023-11-07 21:33:54 -08:00
utils.py feat(proxy_server.py): tracking spend per api key 2023-11-24 15:14:06 -08:00

litellm-proxy

A local, fast, and lightweight OpenAI-compatible server to call 100+ LLM APIs.

usage

$ pip install litellm
$ litellm --model ollama/codellama 

#INFO: Ollama running on http://0.0.0.0:8000

replace openai base

import openai # openai v1.0.0+
client = openai.OpenAI(api_key="anything",base_url="http://0.0.0.0:8000") # set proxy to base_url
# request sent to model set on litellm proxy, `litellm --model`
response = client.chat.completions.create(model="gpt-3.5-turbo", messages = [
    {
        "role": "user",
        "content": "this is a test request, write a short poem"
    }
])

print(response)

See how to call Huggingface,Bedrock,TogetherAI,Anthropic, etc.