> ## Documentation Index
> Fetch the complete documentation index at: https://docs.helicone.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# LiteLLM Integration with OpenLLmetry

> Easily log your LiteLLM API calls to Helicone using OpenLLmetry.

# Overview

Helicone's OpenLLmetry integration allows you to log your LiteLLM API calls to Helicone without modifying your code.

<Tabs>
  <Tab title="Python">
    <Steps>
      <Step title="Install Helicone Async">
        ```bash theme={null}
        pip install helicone-async
        ```
      </Step>

      <Step title="Initialize Logger">
        ```python theme={null}

        from helicone_async import HeliconeAsyncLogger
        from openai import OpenAI
        from litellm import completion

        logger = HeliconeAsyncLogger(
            api_key=HELICONE_API_KEY,
        )

        logger.init()

        client = OpenAI(api_key=OPENAI_API_KEY)

        #openai call
        response = completion(
          model="gpt-4o-mini",
          messages=[{"role": "user", "content": "Hi 👋 - i'm openai"}],
          metadata={
            "Helicone-Property-Hello": "World"
          }
        )

        #cohere call
        response = completion(
          model="command-r",
          messages=[{"role": "user", "content": "Hi 👋 - i'm cohere"}],
          metadata={
            "Helicone-Property-Hello": "World"
          }
        )
        print(response.choices[0])

        ```
      </Step>
    </Steps>
  </Tab>
</Tabs>

Read more about [OpenLLmetry](/getting-started/integration-method/openllmetry)