# Observability for Opik LLM Gateway with Opik

The Opik LLM Gateway is a light-weight proxy server that can be used to query different LLM APIs using the OpenAI format. It's designed for **development and testing purposes** and provides a centralized way to access multiple LLM providers through a single endpoint.

## Gateway Overview

An LLM gateway is a proxy server that forwards requests to an LLM API and returns the response. This is useful when you want to centralize access to LLM providers or query multiple LLM providers from a single endpoint using a consistent request and response format.

The Opik LLM Gateway supports the OpenAI-compatible API format, making it easy to integrate with existing applications that use OpenAI's API structure.

:::callout{intent="warning"}
The Opik LLM Gateway is currently in beta and is subject to change.
:::

## Account Setup

[Comet](https://www.comet.com/site) provides a hosted version of the Opik platform. [Simply create an account](https://www.comet.com/signup) and grab your API Key.

> You can also run the Opik platform locally, see the [installation guide](/guides/overview-self-host-overview) for more information.

## Getting Started

### Configuring LLM Provider Credentials

In order to use the Opik LLM Gateway, you will first need to configure your LLM provider credentials in the Opik UI. Once this is done, you can use the Opik gateway to query your LLM provider.

### Using the Opik LLM Gateway

Once your LLM provider credentials are configured, you can make requests to the Opik LLM Gateway endpoint:

::::tabs
:::tab{title="Opik Cloud"}
```bash
curl -L 'https://www.comet.com/opik/api/v1/private/chat/completions' \
-H 'Content-Type: application/json' \
-H 'Accept: text/event-stream' \
-H 'Comet-Workspace: <OPIK_WORKSPACE>' \
-H 'authorization: <OPIK_API_KEY>' \
-d '{
    "model": "<LLM_MODEL>",
    "messages": [
        {
            "role": "user",
            "content": "What is Opik ?"
        }
    ],
    "temperature": 1,
    "stream": false,
    "max_tokens": 10000
}'
```
:::

:::tab{title="Opik self-hosted"}
```bash
curl -L 'http://localhost:5173/api/v1/private/chat/completions' \
-H 'Content-Type: application/json' \
-H 'Accept: text/event-stream' \
-d '{
    "model": "<LLM_MODEL>",
    "messages": [
        {
            "role": "user",
            "content": "What is Opik ?"
        }
    ],
    "temperature": 1,
    "stream": false,
    "max_tokens": 10000
}'
```
:::
::::

### Request Parameters

The Opik LLM Gateway accepts the following parameters in the request body:

- **`model`**: The LLM model identifier (configured in Opik UI)
- **`messages`**: Array of message objects with `role` and `content` fields
- **`temperature`**: Sampling temperature (0-2)
- **`stream`**: Boolean to enable streaming responses
- **`max_tokens`**: Maximum number of tokens to generate

### Response Format

The gateway returns responses in the OpenAI-compatible format, making it easy to integrate with existing applications.

## Further Improvements

If you have suggestions for improving the Opik LLM Gateway, please let us know by opening an issue on [GitHub](https://github.com/comet-ml/opik/issues).

## Related pages

- [Observability for Kong AI Gateway with Opik](./python-kong-ai-gateway.md)
- [Observability for AISuite with Opik](./python-aisuite.md)
- [Observability for Helicone with Opik](./python-helicone.md)
- [Observability for LiteLLM with Opik](./python-litellm.md)
- [Observability for OpenRouter with Opik](./python-openrouter.md)
- [Observability for Portkey with Opik](./python-portkey.md)
- [Observability for TrueFoundry with Opik](./python-truefoundry.md)
- [Observability for Vercel AI Gateway with Opik](./python-vercel-ai-gateway.md)

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