ActionPerplexityUpdated September 2026

How do I get a cited, web-grounded answer from Perplexity?

Short answer: You can chat completion in Perplexity by hand from its own interface, but it won’t repeat itself. On TinyCommand, add the Perplexity Chat Completion action to a workflow, map its 4 inputs from any upstream app, and it runs automatically every time the trigger fires. No code, and a free tier to start.

Chat Completion in Perplexity — start free All 3 Perplexity actions

Chat Completion in Perplexity — 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: Sonar (default, with search), Sonar Pro (deeper search), Sonar Reasoning (complex queries)
Message message	string	Required	Message. Example: What are the latest developments in quantum computing?
System Prompt system_prompt	string	Optional	System Prompt. Example: Be precise and cite your sources.
Temperature temperature	string	Optional	Temperature. Example: 0.2

Sample request

{
  "model": "{{trigger.model}}",
  "message": "e.g. What are the latest developments in quantum computing?",
  "system_prompt": "e.g. Be precise and cite your sources.",
  "temperature": "e.g. 0.2"
}

Returns

{
  "id": "abc123",
  "model": "sonar",
  "choices": [
    {
      "message": {
        "role": "assistant",
        "content": "According to recent research..."
      },
      "finish_reason": "stop"
    }
  ],
  "citations": [
    "https://example.com/article"
  ]
}

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

Triggered by

Apps that pair well as the trigger for Chat Completion.

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

Google Sheets → Perplexity

2 Google Sheets triggers

HubSpot → Perplexity

18 HubSpot triggers

FAQ

Questions about Chat Completion.

What does the Chat Completion action do in Perplexity?

Asks Perplexity (Sonar models) a question and gets a response grounded in fresh web results with explicit source citations. The go-to LLM API for "answer + citations" use cases.

What inputs does 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 Perplexity returns an error?

The run history shows the failed step with its input and the error message Perplexity 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 Chat Completion support batch operations?

Run 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 Perplexity's rate limits.

More actions

Other Perplexity actions.

Action

Async Chat (Deep Research)

Submits a long-running research query asynchronously (e.g. with sonar-deep-research), returning a request_id. Poll Get Async Result for status and the final cited response.

Action

Get Async Result

Polls an async Perplexity request by ID and returns its status plus, once complete, the final response with citations. Standard pattern is to loop this every 10 to 30 seconds.

Chat Completion in Perplexity — start free