Tech Bytes Developer Hub

import requests
import json

# Your API key from Perplexity dashboard
API_KEY = "pplx-YOUR_API_KEY_HERE"

# API endpoint
url = "https://api.perplexity.ai/v1/search"

# Headers with authentication
headers = {
    "Authorization": f"Bearer {API_KEY}",
    "Content-Type": "application/json"
}

# Search query
data = {
    "model": "pplx-7b-online",
    "messages": [
        {
            "role": "user",
            "content": "What are the latest developments in quantum computing?"
        }
    ],
    "max_tokens": 1000,
    "temperature": 0.7,
    "return_citations": True,
    "search_domain_filter": ["arxiv.org", "nature.com", "science.org"]
}

# Make the request
response = requests.post(url, headers=headers, json=data)

# Parse and print the response
if response.status_code == 200:
    result = response.json()
    print("Answer:", result["choices"][0]["message"]["content"])
    print("\nCitations:")
    for citation in result["citations"]:
        print(f"- {citation['title']}: {citation['url']}")
else:
    print(f"Error: {response.status_code}")
    print(response.text)

const axios = require('axios');

// Your API key
const API_KEY = 'pplx-YOUR_API_KEY_HERE';

async function searchPerplexity(query) {
    const url = 'https://api.perplexity.ai/v1/search';

    const config = {
        headers: {
            'Authorization': `Bearer ${API_KEY}`,
            'Content-Type': 'application/json'
        }
    };

    const data = {
        model: 'pplx-7b-online',
        messages: [
            {
                role: 'user',
                content: query
            }
        ],
        max_tokens: 1000,
        temperature: 0.7,
        return_citations: true,
        search_recency_filter: '24h'  // Results from last 24 hours
    };

    try {
        const response = await axios.post(url, data, config);

        console.log('Answer:', response.data.choices[0].message.content);
        console.log('\nCitations:');
        response.data.citations.forEach(citation => {
            console.log(`- ${citation.title}: ${citation.url}`);
        });

        return response.data;
    } catch (error) {
        console.error('Error:', error.response?.data || error.message);
        throw error;
    }
}

// Example usage
searchPerplexity('Latest AI breakthroughs in 2025')
    .then(result => console.log('Search completed'))
    .catch(err => console.error('Search failed:', err));

curl -X POST https://api.perplexity.ai/v1/search \
  -H "Authorization: Bearer pplx-YOUR_API_KEY_HERE" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "pplx-7b-online",
    "messages": [
      {
        "role": "user",
        "content": "Explain the latest CRISPR gene editing techniques"
      }
    ],
    "max_tokens": 1000,
    "temperature": 0.7,
    "return_citations": true,
    "search_domain_filter": ["pubmed.gov", "nature.com"]
  }'