OpenMeter - Usage-Based Billing

OpenMeter is an Open Source Usage-Based Billing solution for AI/Cloud applications. It integrates with Stripe for easy billing.

info

We want to learn how we can make the callbacks better! Meet the LiteLLM founders or join our discord

Quick Start

Use just 2 lines of code, to instantly log your responses across all providers with OpenMeter

Get your OpenMeter API Key from https://openmeter.cloud/meters

litellm.success_callback = ["openmeter"] # logs cost + usage of successful calls to openmeter

SDK

# pip install langfuse 
import litellm
import os

# from https://openmeter.cloud
os.environ["OPENMETER_API_ENDPOINT"] = ""
os.environ["OPENMETER_API_KEY"] = ""

# LLM API Keys
os.environ['OPENAI_API_KEY']=""

# set langfuse as a callback, litellm will send the data to langfuse
litellm.success_callback = ["openmeter"] 
 
# openai call
response = litellm.completion(
  model="gpt-3.5-turbo",
  messages=[
    {"role": "user", "content": "Hi 👋 - i'm openai"}
  ]
)

PROXY

1. Add to Config.yaml

model_list:
- litellm_params:
    api_base: https://openai-function-calling-workers.tasslexyz.workers.dev/
    api_key: my-fake-key
    model: openai/my-fake-model
  model_name: fake-openai-endpoint

litellm_settings:
  success_callback: ["openmeter"] # 👈 KEY CHANGE

2. Start Proxy

litellm --config /path/to/config.yaml

3. Test it!

curl --location 'http://0.0.0.0:4000/chat/completions' \
--header 'Content-Type: application/json' \
--data ' {
      "model": "fake-openai-endpoint",
      "messages": [
        {
          "role": "user",
          "content": "what llm are you"
        }
      ],
    }
'