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Oauth 2.0 Authentication

Use this if you want to use an Oauth2.0 token to make /chat, /embeddings requests to the LiteLLM Proxy

Usage​

  1. Set env vars:
export OAUTH_TOKEN_INFO_ENDPOINT="https://your-provider.com/token/info"
export OAUTH_USER_ID_FIELD_NAME="sub"
export OAUTH_USER_ROLE_FIELD_NAME="role"
export OAUTH_USER_TEAM_ID_FIELD_NAME="team_id"
  • OAUTH_TOKEN_INFO_ENDPOINT: URL to validate OAuth tokens
  • OAUTH_USER_ID_FIELD_NAME: Field in token info response containing user ID
  • OAUTH_USER_ROLE_FIELD_NAME: Field in token info for user's role
  • OAUTH_USER_TEAM_ID_FIELD_NAME: Field in token info for user's team ID
  1. Enable on litellm config.yaml

Set this on your config.yaml

model_list:
- model_name: gpt-4
litellm_params:
model: openai/fake
api_key: fake-key
api_base: https://exampleopenaiendpoint-production.up.railway.app/

general_settings:
master_key: sk-1234
enable_oauth2_auth: true
  1. Use token in requests to LiteLLM
curl --location 'http://0.0.0.0:4000/chat/completions' \
--header 'Content-Type: application/json' \
--data '{
"model": "gpt-3.5-turbo",
"messages": [
{
"role": "user",
"content": "what llm are you"
}
]
}'

Debugging​

Start the LiteLLM Proxy with --detailed_debug mode and you should see more verbose logs