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We designed Groq API to be mostly compatible with OpenAI's client libraries, making it easy to configure your existing applications to run on Groq and try our inference speed.

We also have our own Groq Python and Groq TypeScript libraries that we encourage you to use.

Configuring OpenAI to Use Groq API

To start using Groq with OpenAI's client libraries, pass your Groq API key to the api_key parameter and change the base_url to https://api.groq.com/openai/v1:

import os
import openai

client = openai.OpenAI(
    base_url="https://api.groq.com/openai/v1",
    api_key=os.environ.get("GROQ_API_KEY")
)

You can find your API key here.

Currently Unsupported OpenAI Features

Note that although Groq API is mostly OpenAI compatible, there are a few features we don't support just yet:

Text Completions

The following fields are currently not supported and will result in a 400 error (yikes) if they are supplied:

  • logprobs

  • logit_bias

  • top_logprobs

  • messages[].name

  • If N is supplied, it must be equal to 1.

Temperature

If you set a temperature value of 0, it will be converted to 1e-8. If you run into any issues, please try setting the value to a float32 > 0 and <= 2.

Audio Transcription and Translation

The following values are not supported:

  • response_format
  • vtt
  • srt
  • timestamp_granularities[]

Feedback

If you'd like to see support for such features as the above on Groq API, please reach out to us and let us know by submitting a "Feature Request" via "Chat with us" located on the left. We really value your feedback and would love to hear from you! 🤩