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OpenAI-Compatible Endpoints

To call models hosted behind an openai proxy, make 2 changes:

  1. For /chat/completions: Put openai/ in front of your model name, so litellm knows you're trying to call an openai /chat/completions endpoint.

  2. For /completions: Put text-completion-openai/ in front of your model name, so litellm knows you're trying to call an openai /completions endpoint.

  3. Do NOT add anything additional to the base url e.g. /v1/embedding. LiteLLM uses the openai-client to make these calls, and that automatically adds the relevant endpoints.

Usage - completion

import litellm
import os

response = litellm.completion(
    model="openai/mistral,               # add `openai/` prefix to model so litellm knows to route to OpenAI
    api_key="sk-1234",                  # api key to your openai compatible endpoint
    api_base="http://0.0.0.0:4000",     # set API Base of your Custom OpenAI Endpoint
    messages=[
                {
                    "role": "user",
                    "content": "Hey, how's it going?",
                }
    ],
)
print(response)

Usage - embedding

import litellm
import os

response = litellm.embedding(
    model="openai/GPT-J",               # add `openai/` prefix to model so litellm knows to route to OpenAI
    api_key="sk-1234",                  # api key to your openai compatible endpoint
    api_base="http://0.0.0.0:4000",     # set API Base of your Custom OpenAI Endpoint
    input=["good morning from litellm"]
)
print(response)

Usage with LiteLLM Proxy Server

Here's how to call an OpenAI-Compatible Endpoint with the LiteLLM Proxy Server

  1. Modify the config.yaml
model_list:
  - model_name: my-model
    litellm_params:
      model: openai/<your-model-name>  # add openai/ prefix to route as OpenAI provider
      api_base: <model-api-base>       # add api base for OpenAI compatible provider
      api_key: api-key                 # api key to send your model
  1. Start the proxy
$ litellm --config /path/to/config.yaml
  1. Send Request to LiteLLM Proxy Server
import openai
client = openai.OpenAI(
    api_key="sk-1234",             # pass litellm proxy key, if you're using virtual keys
    base_url="http://0.0.0.0:4000" # litellm-proxy-base url
)

response = client.chat.completions.create(
    model="my-model",
    messages = [
        {
            "role": "user",
            "content": "what llm are you"
        }
    ],
)

print(response)