ActionCerebrasUpdated June 2026

How do I call Cerebras for inference?

Short answer: You can cerebras chat completion in Cerebras by hand from its own interface, but it won’t repeat itself. On TinyCommand, add the Cerebras Cerebras 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.

Use this action All 2 Cerebras actions

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	Which model to use
User Message message	string	Required	Message sent to the model as user role
System Prompt system_prompt	string	Optional	Optional system instructions
Temperature temperature	string	Optional	0-2, higher = more random
Max Tokens max_tokens	string	Optional	Maximum tokens to generate

Sample request

{
  "model": "{{trigger.model}}",
  "message": "Your prompt",
  "system_prompt": "e.g. You are a helpful assistant",
  "temperature": "0.7",
  "max_tokens": "1024"
}

Returns

{
  "id": "chatcmpl_abc",
  "model": "llama-3.3-70b",
  "usage": {
    "total_tokens": 60,
    "prompt_tokens": 10,
    "completion_tokens": 50
  },
  "choices": [
    {
      "message": {
        "role": "assistant",
        "content": "Sample"
      },
      "finish_reason": "stop"
    }
  ]
}

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

FAQ

Questions about Cerebras Chat Completion.

What does the Cerebras Chat Completion action do in Cerebras?

Runs chat completion against Cerebras's custom-hardware-served Llama models. Extreme speed (1000-2000+ tokens/sec) is the value — for multi-step agent workflows, the latency win stacks meaningfully across calls.

What inputs does Cerebras Chat Completion require?

Required: Model, User 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 Cerebras returns an error?

The workflow pauses on the failed node, the error message is captured in the run log, and you can retry the run with one click. Auto-retry policies are configurable per workflow with exponential backoff up to 5 attempts.

Does Cerebras Chat Completion support batch operations?

Yes. Run Cerebras Chat Completion inside a Loop node to process arrays. TinyCommand handles Cerebras's rate limits automatically so you don't have to throttle manually.

More actions

Other Cerebras actions.

Action

List Cerebras Models

Returns the current Cerebras-hosted model catalog — primarily Llama 3.1/3.3 variants. New models added as Cerebras expands their LPU-optimised lineup.