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💰 Setting Team Budgets

Track spend, set budgets for your Internal Team

Setting Monthly Team Budgets​

1. Create a team​

  • Set max_budget=000000001 ($ value the team is allowed to spend)
  • Set budget_duration="1d" (How frequently the budget should update)

Create a new team and set max_budget and budget_duration

curl -X POST 'http://0.0.0.0:4000/team/new' \
     -H 'Authorization: Bearer sk-1234' \
     -H 'Content-Type: application/json' \
     -d '{
            "team_alias": "QA Prod Bot", 
            "max_budget": 0.000000001, 
            "budget_duration": "1d"
        }'

Response

{
 "team_alias": "QA Prod Bot",
 "team_id": "de35b29e-6ca8-4f47-b804-2b79d07aa99a",
 "max_budget": 0.0001,
 "budget_duration": "1d",
 "budget_reset_at": "2024-06-14T22:48:36.594000Z"
}

Possible values for budget_duration

budget_durationWhen Budget will reset
budget_duration="1s"every 1 second
budget_duration="1m"every 1 min
budget_duration="1h"every 1 hour
budget_duration="1d"every 1 day
budget_duration="1mo"every 1 month

2. Create a key for the team​

Create a key for Team=QA Prod Bot and team_id="de35b29e-6ca8-4f47-b804-2b79d07aa99a" from Step 1

💡 The Budget for Team="QA Prod Bot" budget will apply to this team

curl -X POST 'http://0.0.0.0:4000/key/generate' \
     -H 'Authorization: Bearer sk-1234' \
     -H 'Content-Type: application/json' \
     -d '{"team_id": "de35b29e-6ca8-4f47-b804-2b79d07aa99a"}'

Response

{"team_id":"de35b29e-6ca8-4f47-b804-2b79d07aa99a", "key":"sk-5qtncoYjzRcxMM4bDRktNQ"}

3. Test It​

Use the key from step 2 and run this Request twice

curl -X POST 'http://0.0.0.0:4000/chat/completions' \
     -H 'Authorization: Bearer sk-mso-JSykEGri86KyOvgxBw' \
     -H 'Content-Type: application/json' \
     -d ' {
           "model": "llama3",
           "messages": [
             {
               "role": "user",
               "content": "hi"
             }
           ]
         }'

On the 2nd response - expect to see the following exception

{
 "error": {
   "message": "Budget has been exceeded! Current cost: 3.5e-06, Max budget: 1e-09",
   "type": "auth_error",
   "param": null,
   "code": 400
 }
}

Advanced​

Prometheus metrics for remaining_budget​

More info about Prometheus metrics here

You'll need the following in your proxy config.yaml

litellm_settings:
  success_callback: ["prometheus"]
  failure_callback: ["prometheus"]

Expect to see this metric on prometheus to track the Remaining Budget for the team

litellm_remaining_team_budget_metric{team_alias="QA Prod Bot",team_id="de35b29e-6ca8-4f47-b804-2b79d07aa99a"} 9.699999999999992e-06

Dynamic TPM Allocation​

Prevent teams from gobbling too much quota.

  1. Setup config.yaml 
model_list: 
  - model_name: my-fake-model
    litellm_params:
      model: gpt-3.5-turbo
      api_key: my-fake-key
      mock_response: hello-world
      tpm: 60

general_settings: 
  callbacks: ["dynamic_rate_limiting"]
  1. Start proxy 
litellm --config /path/to/config.yaml
  1. Test it! 
"""
- Run 2 concurrent teams calling same model
- model has 60 TPM
- Mock response returns 30 total tokens / request
- Each team will only be able to make 1 request per minute
"""