Automated rebrand of all openclaw references to hanzo bot: - Package: openclaw -> @hanzo/bot - Binary: openclaw -> hanzo-bot - Config: ~/.openclaw -> ~/.hanzo/bot - Docker: ghcr.io/hanzoai/bot - Env vars: OPENCLAW_* -> BOT_* - Bundle IDs: ai.hanzo.bot.* - Product name: Hanzo Bot
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title, summary, read_when
| title | summary | read_when | ||
|---|---|---|---|---|
| Groq | Groq setup (auth + model selection) |
|
Groq
Groq provides ultra-fast inference on open-source models (Llama, Gemma, Mistral, and more) using custom LPU hardware. Hanzo Bot connects to Groq through its OpenAI-compatible API.
- Provider:
groq - Auth:
GROQ_API_KEY - API: OpenAI-compatible
Quick start
-
Get an API key from console.groq.com/keys.
-
Set the API key:
export GROQ_API_KEY="gsk_..."
- Set a default model:
{
agents: {
defaults: {
model: { primary: "groq/llama-3.3-70b-versatile" },
},
},
}
Config file example
{
env: { GROQ_API_KEY: "gsk_..." },
agents: {
defaults: {
model: { primary: "groq/llama-3.3-70b-versatile" },
},
},
}
Audio transcription
Groq also provides fast Whisper-based audio transcription. When configured as a
media-understanding provider, Hanzo Bot uses Groq's whisper-large-v3-turbo
model to transcribe voice messages.
{
media: {
understanding: {
audio: {
models: [{ provider: "groq" }],
},
},
},
}
Environment note
If the Gateway runs as a daemon (launchd/systemd), make sure GROQ_API_KEY is
available to that process (for example, in ~/.hanzo/bot/.env or via
env.shellEnv).
Available models
Groq's model catalog changes frequently. Run hanzo-bot 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