---
title: "OpenMeter"
url: "/docs/observability/openmeter"
canonical_url: "https://docs.litellm.ai/docs/observability/openmeter"
type: "docs"
last_updated: "2026-10-08"
summary: "OpenMeter is an Open Source Usage-Based Billing solution for AI/Cloud applications. It integrates with Stripe for easy billing."
related:
  - "/docs/observability/mavvrik"
  - "/docs/observability/pointfive"
---
# OpenMeter

> Index of all LiteLLM docs: https://docs.litellm.ai/llms.txt


[OpenMeter](https://openmeter.io/) 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](https://calendly.com/d/4mp-gd3-k5k/berriai-1-1-onboarding-litellm-hosted-version) or
join our [discord](https://discord.gg/wuPM9dRgDw)
::: 

## 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

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

**SDK**

```python
# uv add openmeter 
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 openmeter as a callback, litellm will send the data to openmeter
litellm.callbacks = ["openmeter"] 
 
# openai call
response = litellm.completion(
  model="gpt-5.6-luna",
  messages=[
    {"role": "user", "content": "Hi 👋 - i'm openai"}
  ]
)
```

**PROXY**

1. Add to Config.yaml
```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:
  callbacks: ["openmeter"] # 👈 KEY CHANGE
```

2. Start Proxy

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

3. Test it! 

```bash
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"
        }
      ],
    }
'
```

## Related pages

- [Mavvrik](https://docs.litellm.ai/docs/observability/mavvrik.md)
- [PointFive](https://docs.litellm.ai/docs/observability/pointfive.md)