ActionGroqUpdated September 2026

How do I call Groq for LLM inference?

Short answer: You can groq chat completion in Groq by hand from its own interface, but it won’t repeat itself. On TinyCommand, add the Groq Groq Chat Completion action to a workflow, map its 5 inputs from any upstream app, and it runs automatically every time the trigger fires. No code, and a free tier to start.

Groq Chat Completion in Groq — start free All 4 Groq actions

Groq Chat Completion in Groq — start free

Inputs

The fields this action accepts.

Every field can be mapped from an upstream trigger, AI step, table row, or hard-coded literal.

Field	Type	Required	Description
Model model	options	Required	Model. Options: Llama 3.3 70B, Llama 3.1 8B (fastest), Llama 3 70B, Mixtral 8x7B, Gemma 2 9B
Message message	string	Required	Message. Example: Explain quantum computing in simple terms
System Prompt system_prompt	string	Optional	System Prompt. Example: You are a helpful assistant.
Temperature temperature	string	Optional	0 = deterministic, 2 = very creative
Max Tokens max_tokens	string	Optional	Max Tokens. Example: 1024

Sample request

{
  "model": "{{trigger.model}}",
  "message": "e.g. Explain quantum computing in simple terms",
  "system_prompt": "e.g. You are a helpful assistant.",
  "temperature": "e.g. 0.7",
  "max_tokens": "e.g. 1024"
}

Returns

{
  "id": "chatcmpl-abc",
  "model": "llama-3.3-70b-versatile",
  "usage": {
    "total_tokens": 170,
    "prompt_tokens": 20,
    "completion_tokens": 150
  },
  "choices": [
    {
      "message": {
        "role": "assistant",
        "content": "Quantum computing uses..."
      },
      "finish_reason": "stop"
    }
  ]
}

Use these fields in downstream nodes for routing, logging, or error handling.

Triggered by

Apps that pair well as the trigger for Groq Chat Completion.

Any of these apps can fire this action as part of a workflow.

2 Google Sheets triggers

HubSpot → Groq

18 HubSpot triggers

FAQ

Questions about Groq Chat Completion.

What does the Groq Chat Completion action do in Groq?

Runs chat completion at Groq's custom-LPU-hardware speed (1000+ tokens/sec on Llama 3.3 70B). For latency-sensitive workflows where the speed advantage stacks across multi-step agent chains.

What inputs does Groq Chat Completion require?

Required: Model, Message. Every input accepts a static value or a variable from any upstream node in your workflow.

Can I use dynamic inputs from earlier workflow nodes?

Yes. Any field on this action can pull values from upstream nodes, whether that's a form response, a trigger payload, an AI output, or a lookup result.

What happens if Groq returns an error?

The run history shows the failed step with its input and the error message Groq returned, so you can fix the input and run the workflow again. Automatic retries are built into HTTP steps only, where you can also set your own retry count and delay.

Does Groq Chat Completion support batch operations?

Run Groq Chat Completion inside a loop to process each item in an array. TinyCommand does not throttle calls for you, so for large arrays add a Delay step if you need to stay within Groq's rate limits.

More actions

Other Groq actions.

Action

Groq Analyze Image

Runs vision-capable LLM inference (Llama 3.2 Vision) on an image plus text prompt. Groq's LPU speed makes this fast — useful for in-flow image-classification or visual-question-answering workflows.

Action

List Groq Models

Returns the Groq model catalog — Llama variants, Mixtral, Gemma, plus Whisper for transcription. For model-selection workflows.

Action

Groq Transcribe Audio (Whisper)

Whisper Large v3 hosted on Groq's LPU hardware — much faster than real-time, very cheap per minute. For high-throughput transcription workflows where speed and cost matter.

Groq Chat Completion in Groq — start free