ActionHugging FaceUpdated May 2026

How do I run chat completion on Hugging Face?

Short answer: Drop the "Hugging Face → Hugging Face Chat Completion" action anywhere in your workflow, map the inputs from upstream nodes, and publish.

Use this action All 4 Hugging Face 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	User message to send to the model
System Prompt system_prompt	string	Optional	Optional system instructions that shape the model's behavior
Temperature temperature	string	Optional	Sampling temperature (0–2). Higher = more random.
Max Tokens max_tokens	string	Optional	Maximum tokens to generate in the response
Top P top_p	string	Optional	Nucleus sampling threshold (0–1)

Sample request

{
  "model": "{{trigger.model}}",
  "message": "e.g. Summarize this article in 3 bullets",
  "system_prompt": "e.g. You are a helpful assistant.",
  "temperature": "0.7",
  "max_tokens": "1024"
}

Returns

{
  "id": "chatcmpl-abc123",
  "model": "meta-llama/Llama-3.3-70B-Instruct",
  "usage": {
    "total_tokens": 60,
    "prompt_tokens": 10,
    "completion_tokens": 50
  },
  "choices": [
    {
      "message": {
        "role": "assistant",
        "content": "Sample response"
      },
      "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 Hugging Face Chat Completion.

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

Google Sheets → Hugging Face

2 Google Sheets triggers

HubSpot → Hugging Face

18 HubSpot triggers

FAQ

Questions about Hugging Face Chat Completion.

What does the Hugging Face Chat Completion action do in Hugging Face?

Runs chat completion against any text-generation model on Hugging Face Hub that supports the TGI server. OpenAI-compatible message-array shape. Model selection via model ID (e.g., meta-llama/Llama-3.3-70B-Instruct).

What inputs does Hugging Face 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 Hugging Face 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 Hugging Face Chat Completion support batch operations?

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

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