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Groq

Groq provides ultra-fast inference on open-source models (Llama, Gemma, Mistral, and more) using custom LPU hardware. OpenClaw connects to Groq through its OpenAI-compatible API.

  • Provider: groq
  • Auth: GROQ_API_KEY
  • API: OpenAI-compatible
  1. Get an API key from console.groq.com/keys.

  2. Set the API key:

Terminal window
export GROQ_API_KEY="gsk_..."
  1. Set a default model:
{
agents: {
defaults: {
model: { primary: "groq/llama-3.3-70b-versatile" },
},
},
}
{
env: { GROQ_API_KEY: "gsk_..." },
agents: {
defaults: {
model: { primary: "groq/llama-3.3-70b-versatile" },
},
},
}

Groq also provides fast Whisper-based audio transcription. When configured as a media-understanding provider, OpenClaw uses Groq’s whisper-large-v3-turbo model to transcribe voice messages.

{
media: {
understanding: {
audio: {
models: [{ provider: "groq" }],
},
},
},
}

If the Gateway runs as a daemon (launchd/systemd), make sure GROQ_API_KEY is available to that process (for example, in ~/.openclaw/.env or via env.shellEnv).

Groq’s model catalog changes frequently. Run openclaw models list | grep groq to see currently available models, or check console.groq.com/docs/models.

Popular choices include:

  • Llama 3.3 70B Versatile - general-purpose, large context
  • Llama 3.1 8B Instant - fast, lightweight
  • Gemma 2 9B - compact, efficient
  • Mixtral 8x7B - MoE architecture, strong reasoning