Files
litellm/litellm/proxy
Krish DholakiaandGitHub e9b7059af4 Litellm add file validation (#11081)
* fix: cleanup print statement

* feat(managed_files.py): add auth check on managed files

Implemented for file retrieve + delete calls

* feat(files_endpoints.py): support returning files by model name

enables managed file support

* feat(managed_files/): filter list of files by the ones created by user

prevents user from seeing another file

* test: update test

* fix(files_endpoints.py): list_files - always default to provider based routing

* build: add new table to prisma schema
2025-05-22 23:05:45 -07:00
..
2025-05-14 23:05:07 -07:00
2025-04-04 20:37:53 -07:00
2025-05-22 23:05:45 -07:00
2025-03-14 17:21:01 -07:00
2024-02-21 17:34:42 -08:00
2025-03-20 17:53:20 -07:00

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.


Folder Structure

Routes

  • proxy_server.py - all openai-compatible routes - /v1/chat/completion, /v1/embedding + model info routes - /v1/models, /v1/model/info, /v1/model_group_info routes.
  • health_endpoints/ - /health, /health/liveliness, /health/readiness
  • management_endpoints/key_management_endpoints.py - all /key/* routes
  • management_endpoints/team_endpoints.py - all /team/* routes
  • management_endpoints/internal_user_endpoints.py - all /user/* routes
  • management_endpoints/ui_sso.py - all /sso/* routes