# OpenRouter

[OpenRouter](https://openrouter.ai/) is a unified platform that provides developers with seamless access to a wide range of large language models (LLMs) through a single OpenAI-compatible API interface. It enables model interoperability by allowing users to easily route requests between open-source and proprietary models while managing authentication, quotas, and usage tracking in one place. 

This tutorial will guide you through utilizing Arcee AI's language models on OpenRouter using an OpenAI-compatible endpoint.

***

**Prerequisites**

* OpenRouter Account
  * If you don't have an account, set one up [here](https://openrouter.ai/).
* OpenRouter API Key
  * If you don't have an API Key, create one [here](https://openrouter.ai/settings/keys).
* `openai` Python SDK (install using uv or pip)

**Quickstart**

Run a completion with an Arcee model on OpenRouter

```bash
from openai import OpenAI

# Initialize OpenRouter-compatible client
client = OpenAI(
    base_url="https://openrouter.ai/api/v1",
    api_key="<OPENROUTER_API_KEY>",
)

# Run a chat completion
completion = client.chat.completions.create(
    model="arcee-ai/trinity-mini",
    messages=[
        {
            "role": "user",
            "content": "What are small language models and how do they compare to LLMs?"
        }
    ]
)

# Print result
print(completion.choices[0].message.content)

```