Perplexity Sonar

perplexity/sonar

Run Perplexity Sonar in a hosted Python Task with web search and file inputs.

Perplexity AI's Sonar model via OpenRouter with native web search integration. Provides real-time information by searching the web and synthesizing current results into responses.

What Perplexity Sonar supports in qbash

Web searchSearches the web while it answers.
Document inputReads PDF, TEXT, DOC, XLS, RTF and 7 more files.

What is qbash?

qbash is where you build Tasks: Python programs that run a business process on managed infrastructure. Your code runs the steps and calls a model like Perplexity Sonar only at the ones that need judgment, with integrations, memory and files available in the same script.

A developer writes the Task once, and anyone on the team runs it from a form, on a schedule, from a webhook or from chat. Each Task is versioned and every run is logged.

How Tasks work

Specifications

Context window: 128Ktokens
Max output: 8,192tokens
Temperature: 0 to 2default 1

Use Perplexity Sonar in a Python Task

qbash.ai.raw calls Perplexity Sonar from a Task and returns its reply as a string.

main.py
notes = qbash.inputs.get("notes")

summary = qbash.ai.raw(
    f"Summarize these meeting notes in five bullets:\n\n{notes}",
    model="perplexity/sonar",
    system="You are a concise analyst.",
)

qbash.output({"summary": summary})

Model calls in Tasks

Use Perplexity Sonar with web search

Turn on Web Search in an inline prompt's model bar and Perplexity Sonar searches the web while it answers. Searches are billed at $5.00 per 1,000.

Provider web tools