ai-station/.venv/lib/python3.12/site-packages/litellm/proxy

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