Perplexity core workflow a
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'Execute Perplexity primary workflow: single-query search with citations.
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SKILL.md
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Perplexity Core Workflow A: Search with Citations
Overview
Primary money-path workflow: send a search query to Perplexity Sonar, receive a web-grounded answer with inline citations, parse and display the results. This is the single-query pattern used for search widgets, fact-checking, and real-time information retrieval.
Prerequisites
- Completed
perplexity-install-authsetup openaipackage installedPERPLEXITY_API_KEYset
Instructions
Step 1: Initialize Client and Send Query
import OpenAI from "openai";
const perplexity = new OpenAI({
apiKey: process.env.PERPLEXITY_API_KEY,
baseURL: "https://api.perplexity.ai",
});
async function searchWithCitations(query: string) {
const response = await perplexity.chat.completions.create({
model: "sonar",
messages: [
{
role: "system",
content: "Provide accurate, well-sourced answers. Cite your sources inline.",
},
{ role: "user", content: query },
],
// Perplexity-specific parameters
search_recency_filter: "week", // hour | day | week | month
} as any);
return response;
}
Step 2: Parse Response with Citations
interface SearchResult {
answer: string;
citations: string[];
searchResults: Array<{ title: string; url: string; snippet: string }>;
tokensUsed: number;
}
function parseResponse(response: any): SearchResult {
return {
answer: response.choices[0].message.content,
citations: response.citations || [],
searchResults: response.search_results || [],
tokensUsed: response.usage?.total_tokens || 0,
};
}
Step 3: Format Citations for Display
function formatAnswer(result: SearchResult): string {
let formatted = result.answer;
// Replace [1], [2] markers with markdown links
result.citations.forEach((url, i) => {
formatted = formatted.replaceAll(`[${i + 1}]`, `${i + 1}`);
});
// Append source list
if (result.citations.length > 0) {
formatted += "\n\n**Sources:**\n";
result.citations.forEach((url, i) => {
formatted += `${i + 1}. ${url}\n`;
});
}
return formatted;
}
Step 4: Complete Workflow
async function main() {
const query = "What are the latest advances in battery technology?";
const response = await searchWithCitations(query);
const result = parseResponse(response);
const formatted = formatAnswer(result);
console.log(formatted);
console.log(`\n[${result.tokensUsed} tokens | ${result.citations.length} sources]`);
}
main().catch(console.error);
Step 5: Domain-Filtered Search
// Restrict search to trusted sources
async function domainFilteredSearch(query: string, domains: string[]) {
const response = await perplexity.chat.completions.create({
model: "sonar",
messages: [{ role: "user", content: query }],
search_domain_filter: domains, // max 20 domains
} as any);
return parseResponse(response);
}
// Example: only search academic sources
const result = await domainFilteredSearch(
"CRISPR gene editing latest trials",
["nature.com", "science.org", "nih.gov", "arxiv.org"]
);
Step 6: Python Implementation
from openai import OpenAI
import os, re
client = OpenAI(
api_key=os.environ["PERPLEXITY_API_KEY"],
base_url="https://api.perplexity.ai",
)
def search_with_citations(query: str, model: str = "sonar", recency: str = None) -> dict:
kwargs = {
"model": model,
"messages": [
{"role": "system", "content": "Provide accurate answers with cited sources."},
{"role": "user", "content": query},
],
}
if recency:
kwargs["search_recency_filter"] = recency
response = client.chat.completions.create(**kwargs)
raw = response.model_dump()
return {
"answer": response.choices[0].message.content,
"citations": raw.get("citations", []),
"tokens": response.usage.total_tokens,
}
# Usage
result = search_with_citations(
"What are the latest advances in battery technology?",
recency="week"
)
print(result["answer"])
for i, url in enumerate(result["citations"], 1):
print(f" [{i}] {url}")
Error Handling
| Error | Cause | Solution |
|---|---|---|
401 Unauthorized | Invalid API key | Regenerate at perplexity.ai/settings/api |
429 Too Many Requests | Rate limit exceeded | Implement exponential backoff |
| Empty citations | Query too vague | Make query more specific and factual |
| Stale information | No recency filter | Add search_recency_filter: "day" |
| Slow response (>10s) | Using sonar-pro | Switch to sonar for faster results |
Output
- Web-grounded answer text with inline citation markers
- Parsed citation URLs for source verification
- Formatted markdown with linked sources
- Token usage for cost tracking
Resources
Next Steps
For multi-query research, see perplexity-core-workflow-b.