litellm-mirror/docs/my-website/docs/proxy/model_access.md

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Control Model Access

Restrict models by Virtual Key

Set allowed models for a key using the models param

curl 'http://0.0.0.0:4000/key/generate' \
--header 'Authorization: Bearer <your-master-key>' \
--header 'Content-Type: application/json' \
--data-raw '{"models": ["gpt-3.5-turbo", "gpt-4"]}'

:::info

This key can only make requests to models that are gpt-3.5-turbo or gpt-4

:::

Verify this is set correctly by

curl -i http://localhost:4000/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer sk-1234" \
  -d '{
    "model": "gpt-4",
    "messages": [
      {"role": "user", "content": "Hello"}
    ]
  }'

:::info

Expect this to fail since gpt-4o is not in the models for the key generated

:::

curl -i http://localhost:4000/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer sk-1234" \
  -d '{
    "model": "gpt-4o",
    "messages": [
      {"role": "user", "content": "Hello"}
    ]
  }'

API Reference

Restrict models by team_id

litellm-dev can only access azure-gpt-3.5

1. Create a team via /team/new

curl --location 'http://localhost:4000/team/new' \
--header 'Authorization: Bearer <your-master-key>' \
--header 'Content-Type: application/json' \
--data-raw '{
  "team_alias": "litellm-dev",
  "models": ["azure-gpt-3.5"]
}' 

# returns {...,"team_id": "my-unique-id"}

2. Create a key for team

curl --location 'http://localhost:4000/key/generate' \
--header 'Authorization: Bearer sk-1234' \
--header 'Content-Type: application/json' \
--data-raw '{"team_id": "my-unique-id"}'

3. Test it

curl --location 'http://0.0.0.0:4000/chat/completions' \
    --header 'Content-Type: application/json' \
    --header 'Authorization: Bearer sk-qo992IjKOC2CHKZGRoJIGA' \
    --data '{
        "model": "BEDROCK_GROUP",
        "messages": [
            {
                "role": "user",
                "content": "hi"
            }
        ]
    }'

{"error":{"message":"Invalid model for team litellm-dev: BEDROCK_GROUP.  Valid models for team are: ['azure-gpt-3.5']\n\n\nTraceback (most recent call last):\n  File \"/Users/ishaanjaffer/Github/litellm/litellm/proxy/proxy_server.py\", line 2298, in chat_completion\n    _is_valid_team_configs(\n  File \"/Users/ishaanjaffer/Github/litellm/litellm/proxy/utils.py\", line 1296, in _is_valid_team_configs\n    raise Exception(\nException: Invalid model for team litellm-dev: BEDROCK_GROUP.  Valid models for team are: ['azure-gpt-3.5']\n\n","type":"None","param":"None","code":500}}%            

API Reference

Model Access Groups

Use model access groups to give users access to select models, and add new ones to it over time (e.g. mistral, llama-2, etc.)

Step 1. Assign model, access group in 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/
    model_info:
      access_groups: ["beta-models"] # 👈 Model Access Group
  - model_name: fireworks-llama-v3-70b-instruct
    litellm_params:
      model: fireworks_ai/accounts/fireworks/models/llama-v3-70b-instruct
      api_key: "os.environ/FIREWORKS"
    model_info:
      access_groups: ["beta-models"] # 👈 Model Access Group

Create key with access group

curl --location 'http://localhost:4000/key/generate' \
-H 'Authorization: Bearer <your-master-key>' \
-H 'Content-Type: application/json' \
-d '{"models": ["beta-models"], # 👈 Model Access Group
			"max_budget": 0,}'

Test Key

curl -i http://localhost:4000/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer sk-<key-from-previous-step>" \
  -d '{
    "model": "gpt-4",
    "messages": [
      {"role": "user", "content": "Hello"}
    ]
  }'

:::info

Expect this to fail since gpt-4o is not in the beta-models access group

:::

curl -i http://localhost:4000/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer sk-<key-from-previous-step>" \
  -d '{
    "model": "gpt-4o",
    "messages": [
      {"role": "user", "content": "Hello"}
    ]
  }'

Create Team

curl --location 'http://localhost:4000/team/new' \
-H 'Authorization: Bearer sk-<key-from-previous-step>' \
-H 'Content-Type: application/json' \
-d '{"models": ["beta-models"]}'

Create Key for Team

curl --location 'http://0.0.0.0:4000/key/generate' \
--header 'Authorization: Bearer sk-<key-from-previous-step>' \
--header 'Content-Type: application/json' \
--data '{"team_id": "0ac97648-c194-4c90-8cd6-40af7b0d2d2a"}

Test Key

curl -i http://localhost:4000/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer sk-<key-from-previous-step>" \
  -d '{
    "model": "gpt-4",
    "messages": [
      {"role": "user", "content": "Hello"}
    ]
  }'

:::info

Expect this to fail since gpt-4o is not in the beta-models access group

:::

curl -i http://localhost:4000/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer sk-<key-from-previous-step>" \
  -d '{
    "model": "gpt-4o",
    "messages": [
      {"role": "user", "content": "Hello"}
    ]
  }'

✨ Control Access on Wildcard Models

Control access to all models with a specific prefix (e.g. openai/*).

Use this to also give users access to all models, except for a few that you don't want them to use (e.g. openai/o1-*).

:::info

Setting model access groups on wildcard models is an Enterprise feature.

See pricing here

Get a trial key here :::

1. Setup config.yaml

model_list:
  - model_name: openai/*
    litellm_params:
      model: openai/*
      api_key: os.environ/OPENAI_API_KEY
    model_info:
      access_groups: ["default-models"]
  - model_name: openai/o1-*
    litellm_params:
      model: openai/o1-*
      api_key: os.environ/OPENAI_API_KEY
    model_info:
      access_groups: ["restricted-models"]

2. Generate a key with access to default-models

curl -L -X POST 'http://0.0.0.0:4000/key/generate' \
-H 'Authorization: Bearer sk-1234' \
-H 'Content-Type: application/json' \
-d '{
    "models": ["default-models"],
}'

3. Test the key

curl -i http://localhost:4000/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer sk-<key-from-previous-step>" \
  -d '{
    "model": "openai/gpt-4",
    "messages": [
      {"role": "user", "content": "Hello"}
    ]
  }'

curl -i http://localhost:4000/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer sk-<key-from-previous-step>" \
  -d '{
    "model": "openai/o1-mini",
    "messages": [
      {"role": "user", "content": "Hello"}
    ]
  }'