---
title: "Ramp"
url: "/docs/observability/ramp_integration"
canonical_url: "https://docs.litellm.ai/docs/observability/ramp_integration"
type: "docs"
last_updated: "2026-10-01"
summary: "Send AI usage and cost data to Ramp for automated spend tracking."
related:
  - "/docs/observability/pointfive"
  - "/docs/observability/vantage"
---
# Ramp

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


Send AI usage and cost data to Ramp for automated spend tracking.

[Ramp](https://ramp.com/) is a finance automation platform that helps businesses manage expenses, corporate cards, and vendor payments. With the Ramp callback integration, your LiteLLM AI usage, including token counts, model costs, and request metadata, is automatically sent to Ramp for real-time spend visibility.

:::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)
:::

## Pre-Requisites

1. Log in to [Ramp](https://app.ramp.com/) and search for **"LiteLLM"** using the search bar. Click the **LiteLLM** integration result.

> **Note:** Only business owners and admins can access and configure integrations.

2. On the LiteLLM integration page, click the **Connect** button in the top right.

3. In the Connect LiteLLM drawer, click **Generate API Key** to create an API key.

> **Important:** Copy the API key immediately, because it won't be shown again. If you lose it, you can revoke the existing key and generate a new one from the integration settings.

```shell
pip install litellm
```

## Quick Start

Set your `RAMP_API_KEY` and add `"ramp"` to your callbacks to start logging LLM usage to Ramp.

**SDK**

```python
litellm.callbacks = ["ramp"]
```

```python
import litellm
import os

# Ramp API Key
os.environ["RAMP_API_KEY"] = "your-ramp-api-key"

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

# Set ramp as a callback
litellm.callbacks = ["ramp"]

# OpenAI call
response = litellm.completion(
  model="gpt-5.6-luna",
  messages=[
    {"role": "user", "content": "Hi - I'm testing Ramp integration"}
  ]
)
```

**LiteLLM Proxy**

1. Setup config.yaml

```yaml
model_list:
  - model_name: gpt-5.6-luna
    litellm_params:
      model: openai/gpt-5.6-luna
      api_key: os.environ/OPENAI_API_KEY

litellm_settings:
  callbacks: ["ramp"]

environment_variables:
  RAMP_API_KEY: os.environ/RAMP_API_KEY
```

2. Start LiteLLM Proxy

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

3. Test it!

```bash
curl -L -X POST 'http://0.0.0.0:4000/chat/completions' \
-H 'Content-Type: application/json' \
-H "Authorization: Bearer $LITELLM_API_KEY" \
-d '{
  "model": "gpt-5.6-luna",
  "messages": [
    {
      "role": "user",
      "content": "Hey, how are you?"
    }
  ]
}'
```

## What Data is Logged?

LiteLLM sends the [Standard Logging Payload](https://docs.litellm.ai/docs/proxy/logging_spec) to Ramp on successful LLM API calls, which includes:

- **Request details**: Model, messages, parameters
- **Response details**: Completion text, token usage, latency
- **Metadata**: User ID, custom metadata, timestamps
- **Cost tracking**: Response cost based on token usage

## Authentication

Set the `RAMP_API_KEY` environment variable with your Ramp API key.

| Environment Variable | Description |
|---|---|
| `RAMP_API_KEY` | Your Ramp API key (required) |

## Support & Talk to Founders

- [Schedule Demo 👋](https://calendly.com/d/4mp-gd3-k5k/berriai-1-1-onboarding-litellm-hosted-version)
- [Community Discord 💭](https://discord.gg/wuPM9dRgDw)
- Our numbers 📞 +1 (770) 8783-106 / ‭+1 (412) 618-6238‬
- Our emails ✉️ ishaan@berri.ai / krrish@berri.ai

## Related pages

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