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💰 Budgets, Rate Limits

Requirements:

Set Budgets​

You can set budgets at 3 levels:

  • For the proxy
  • For an internal user
  • For a customer (end-user)
  • For a key
  • For a key (model specific budgets)

Apply a budget across all calls on the proxy

Step 1. Modify config.yaml

general_settings:
  master_key: sk-1234

litellm_settings:
  # other litellm settings
  max_budget: 0 # (float) sets max budget as $0 USD
  budget_duration: 30d # (str) frequency of reset - You can set duration as seconds ("30s"), minutes ("30m"), hours ("30h"), days ("30d").

Step 2. Start proxy

litellm /path/to/config.yaml

Step 3. Send test call

curl --location 'http://0.0.0.0:4000/chat/completions' \
    --header 'Autherization: Bearer sk-1234' \
    --header 'Content-Type: application/json' \
    --data '{
    "model": "gpt-3.5-turbo",
    "messages": [
        {
        "role": "user",
        "content": "what llm are you"
        }
    ],
}'

Set Rate Limits​

You can set:

  • tpm limits (tokens per minute)
  • rpm limits (requests per minute)
  • max parallel requests

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

curl --location 'http://0.0.0.0:4000/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",
}

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:4000/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 internal user​

Just include user_id in the /key/generate request.

curl --location 'http://0.0.0.0:4000/key/generate' \
--header 'Authorization: Bearer <your-master-key>' \
--header 'Content-Type: application/json' \
--data '{"models": ["azure-models"], "user_id": "krrish@berri.ai"}'