litellm/docs/my-website/docs/observability/openmeter.md

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# OpenMeter - Usage-Based Billing
[OpenMeter](https://openmeter.io/) is an Open Source Usage-Based Billing solution for AI/Cloud applications. It integrates with Stripe for easy billing.
<Image img={require('../../img/openmeter.png')} />
:::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
```
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```python
# pip install 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-3.5-turbo",
messages=[
{"role": "user", "content": "Hi 👋 - i'm openai"}
]
)
```
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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"
}
],
}
'
```
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<Image img={require('../../img/openmeter_img_2.png')} />