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

# Using OpenAI SDK

> How to integrate TVI with existing OpenAI compatible endpoints

Trieve Vector Inference is compatible with the OpenAI API.

This means you're able to just replace the endpoint, without changing any pre-existing code.

Here's an example with the `openai` python SDK:

<Steps>
  <Step title="Install the dependencies">
    ```sh theme={null}
    pip install openai requests python-dotenv
    ```
  </Step>

  <Step title="Update OpenAI URL">
    Replace `base_url` with your embeddding endpoint.

    ```python openai_compatibility.py theme={null}
    import openai
    import time
    import requests
    import os
    from dotenv import load_dotenv

    load_dotenv()

    endpoint = "http://<your-ingress-endpoint-here>"

    openai.base_url = endpoint

    client = openai.OpenAI(
        # This is the default and can be omitted
        api_key=os.environ.get("OPENAI_API_KEY"),
        base_url=endpoint
    )

    embedding = client.embeddings.create(
        input="This is some example input",
        model="BAAI/bge-m3"
    )
    ```
  </Step>
</Steps>