Perplexity in AGNT
Answer models with live web grounding built in. Every AGNT workflow is provider-portable, so the same agents run here or anywhere else you point them.
Why teams pick it
Models
- Sonar family
Strengths
- citations by default
- live web knowledge
- research-agent fit
In AGNT
Agents, workflows and tools use Perplexity like any other provider — same nodes, same receipts, swap models per step if you want.
Answers with the web attached
The Sonar models are built to answer from live web content with citations by default, which makes them a natural fit for the research step in an agent workflow. Rather than assembling a search-fetch-summarise chain yourself, that behaviour is the model’s primary function.
What to watch
Grounded answering is not the same as reliable judgment: it will faithfully report what sources say, including when they are wrong or when a single press release has been reprinted five times. Keep the citations and treat the output as a well-sourced first draft, exactly as you would a junior analyst’s.
Using Perplexity in a workflow
A workflow can use Perplexity for one step and another provider for the next. Teams typically reserve Sonar family for work that rewards citations by default, then hand bulk steps to a faster tier. The model behind an operation is a setting in AGNT, so this is tuned by measurement rather than decided up front.
Connect Perplexity in two minutes
- Download AGNT Community Core — free, local-first, no account needed to run.
- Open Settings → Providers, choose Perplexity, and paste your API key. Connect by pasting an API key into AGNT’s vault — stored encrypted on your machine, never uploaded.
- Give an agent a job — or install one from the marketplace — and watch the first receipt come back.
Perplexity in AGNT — common questions
When should a workflow use Perplexity?
The research step, where current information and citations matter more than reasoning depth.
Are the citations reliable?
They point at real retrieved sources, which is what makes claims checkable. Checking the ones that matter is still your job.
Can it replace a full research agent?
It replaces the search-and-summarise stage well; synthesis across many sources still benefits from an agent around it.