ActionHugging FaceUpdated September 2026

How do I run chat completion on Hugging Face?

Short answer: You can hugging face chat completion in Hugging Face by hand from its own interface, but it won’t repeat itself. On TinyCommand, add the Hugging Face Hugging Face Chat Completion action to a workflow, map its 6 inputs from any upstream app, and it runs automatically every time the trigger fires. No code, and a free tier to start.

Hugging Face Chat Completion in Hugging Face — 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.

FieldTypeRequiredDescription
Model
model
optionsRequiredWhich model to use
User Message
message
stringRequiredUser message to send to the model
System Prompt
system_prompt
stringOptionalOptional system instructions that shape the model's behavior
Temperature
temperature
stringOptionalSampling temperature (0–2). Higher = more random.
Max Tokens
max_tokens
stringOptionalMaximum tokens to generate in the response
Top P
top_p
stringOptionalNucleus 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.

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 run history shows the failed step with its input and the error message Hugging Face 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 Hugging Face Chat Completion support batch operations?
Run Hugging Face 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 Hugging Face's rate limits.
More actions

Other Hugging Face actions.

Hugging Face Chat Completion in Hugging Face — start free