💰 Budgets, Rate Limits per user

Requirements:

• Need to a postgres database (e.g. Supabase, Neon, etc)

Set Budgets

Set max_budget in (USD $) param in the /user/new or /key/generate request. By default the max_budget is set to null and is not checked for keys

Per User

LiteLLM exposes a /user/new endpoint to create budgets for users, that persist across multiple keys.

curl --location 'http://localhost:8000/user/new' \
--header 'Authorization: Bearer <your-master-key>' \
--header 'Content-Type: application/json' \
--data-raw '{"models": ["azure-models"], "max_budget": 0, "user_id": "krrish3@berri.ai"}' 

The request is a normal /key/generate request body + a max_budget field.

See Swagger

Sample Response

{
    "key": "sk-YF2OxDbrgd1y2KgwxmEA2w",
    "expires": "2023-12-22T09:53:13.861000Z",
    "user_id": "krrish3@berri.ai",
    "max_budget": 0.0
}

Per Key

curl 'http://0.0.0.0:8000/key/generate' \
--header 'Authorization: Bearer <your-master-key>' \
--header 'Content-Type: application/json' \
--data-raw '{
  "team_id": "core-infra", # [OPTIONAL]
  "max_budget": 10,
}'

Expected Behaviour

• Costs Per key get auto-populated in LiteLLM_VerificationToken Table
• After the key crosses it's max_budget, requests fail

Example Request to /chat/completions when key has crossed budget

curl --location 'http://0.0.0.0:8000/chat/completions' \
  --header 'Content-Type: application/json' \
  --header 'Authorization: Bearer sk-ULl_IKCVFy2EZRzQB16RUA' \
  --data ' {
  "model": "azure-gpt-3.5",
  "user": "e09b4da8-ed80-4b05-ac93-e16d9eb56fca",
  "messages": [
      {
      "role": "user",
      "content": "respond in 50 lines"
      }
  ],
}'

Expected Response from /chat/completions when key has crossed budget

{
  "detail":"Authentication Error, ExceededTokenBudget: Current spend for token: 7.2e-05; Max Budget for Token: 2e-07"
}   

Set Rate Limits

You can set:

• max parallel requests
• tpm limits
• rpm limits

Per User

Use /user/new, to persist rate limits across multiple keys.

curl --location 'http://0.0.0.0:8000/user/new' \
--header 'Authorization: Bearer sk-1234' \
--header 'Content-Type: application/json' \
--data '{"user_id": "krrish@berri.ai", "max_parallel_requests": 10, "tpm_limit": 20, "rpm_limit": 4}' 

See Swagger

Expected Response

{
    "key": "sk-sA7VDkyhlQ7m8Gt77Mbt3Q",
    "expires": "2024-01-19T01:21:12.816168",
    "user_id": "krrish@berri.ai",
}

Per Key

Use /key/generate, if you want them for just that key.

curl --location 'http://0.0.0.0:8000/key/generate' \
--header 'Authorization: Bearer sk-1234' \
--header 'Content-Type: application/json' \
--data '{"max_parallel_requests": 10, "tpm_limit": 20, "rpm_limit": 4}' 

Expected Response

{
    "key": "sk-ulGNRXWtv7M0lFnnsQk0wQ",
    "expires": "2024-01-18T20:48:44.297973",
    "user_id": "78c2c8fc-c233-43b9-b0c3-eb931da27b84"  // 👈 auto-generated
}

Grant Access to new model

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.).

Difference between doing this with /key/generate vs. /user/new? If you do it on /user/new it'll persist across multiple keys generated for that user.

Step 1. Assign model, access group in config.yaml

model_list:
  - model_name: text-embedding-ada-002
    litellm_params:
      model: azure/azure-embedding-model
      api_base: "os.environ/AZURE_API_BASE"
      api_key: "os.environ/AZURE_API_KEY"
      api_version: "2023-07-01-preview"
    model_info:
      access_groups: ["beta-models"] # 👈 Model Access Group

Step 2. Create key with access group

curl --location 'http://localhost:8000/user/new' \
-H 'Authorization: Bearer <your-master-key>' \
-H 'Content-Type: application/json' \
-d '{"models": ["beta-models"], # 👈 Model Access Group
            "max_budget": 0}'

Create new keys for existing user

Just include user_id in the /key/generate request.

curl --location 'http://0.0.0.0:8000/key/generate' \
--header 'Authorization: Bearer <your-master-key>' \
--header 'Content-Type: application/json' \
--data '{"models": ["azure-models"], "user_id": "krrish@berri.ai"}'