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Greenscale - Track LLM Spend and Responsible Usage

Greenscale is a production monitoring platform for your LLM-powered app that provides you granular key insights into your GenAI spending and responsible usage. Greenscale only captures metadata to minimize the exposure risk of personally identifiable information (PII).

Getting Started​

Use Greenscale to log requests across all LLM Providers

liteLLM provides callbacks, making it easy for you to log data depending on the status of your responses.

Using Callbacks​

First, email hello@greenscale.ai to get an API_KEY.

Use just 1 line of code, to instantly log your responses across all providers with Greenscale:

litellm.success_callback = ["greenscale"]

Complete code​

from litellm import completion

## set env variables
os.environ['GREENSCALE_API_KEY'] = 'your-greenscale-api-key'
os.environ['GREENSCALE_ENDPOINT'] = 'greenscale-endpoint'
os.environ["OPENAI_API_KEY"]= ""

# set callback
litellm.success_callback = ["greenscale"]

#openai call
response = completion(
  model="gpt-3.5-turbo",
  messages=[{"role": "user", "content": "Hi 👋 - i'm openai"}]
  metadata={
    "greenscale_project": "acme-project",
    "greenscale_application": "acme-application"
  }
)

Additional information in metadata​

You can send any additional information to Greenscale by using the metadata field in completion and greenscale_ prefix. This can be useful for sending metadata about the request, such as the project and application name, customer_id, enviornment, or any other information you want to track usage. greenscale_project and greenscale_application are required fields.

#openai call with additional metadata
response = completion(
  model="gpt-3.5-turbo",
  messages=[
    {"role": "user", "content": "Hi 👋 - i'm openai"}
  ],
  metadata={
    "greenscale_project": "acme-project",
    "greenscale_application": "acme-application",
    "greenscale_customer_id": "customer-123"
  }
)

Support & Talk with Greenscale Team​