# Python
pip install perplexityai

# TypeScript/JavaScript
npm install @perplexityai/perplexity

# macOS/Linux
export PERPLEXITY_API_KEY="your_api_key_here"

# Windows
setx PERPLEXITY_API_KEY "your_api_key_here"

from perplexity import Perplexity

client = Perplexity()

completion = client.chat.completions.create(
    model="sonar-pro",
    messages=[{"role": "user", "content": "What is the latest news on AI?"}]
)

print(completion.choices[0].message.content)

from perplexity import Perplexity

client = Perplexity()

search = client.search.create(
    query="artificial intelligence trends 2024",
    max_results=5
)

for result in search.results:
    print(f"{result.title}: {result.url}")

stream = client.chat.completions.create(
    messages=[{"role": "user", "content": "Explain quantum computing"}],
    model="sonar",
    stream=True
)

for chunk in stream:
    if chunk.choices[0].delta.content:
        print(chunk.choices[0].delta.content, end="")

messages = [
    {"role": "system", "content": "You are a research assistant."},
    {"role": "user", "content": "What causes climate change?"},
    {"role": "assistant", "content": "Climate change is caused by..."},
    {"role": "user", "content": "What are the solutions?"}
]

completion = client.chat.completions.create(messages=messages, model="sonar")

completion = client.chat.completions.create(
    messages=[{"role": "user", "content": "Latest renewable energy news"}],
    model="sonar",
    web_search_options={
        "search_recency_filter": "week",
        "search_domain_filter": ["energy.gov", "iea.org"]
    }
)

# REQUIRES stream=True
completion = client.chat.completions.create(
    model="sonar-pro",
    messages=[{"role": "user", "content": "Research solar panel ROI"}],
    search_type="pro",
    stream=True
)

for chunk in completion:
    print(chunk.choices[0].delta.content or "", end="")

completion = client.chat.completions.create(
    model="sonar-pro",
    messages=[{
        "role": "user",
        "content": [
            {"type": "text", "text": "Describe this image"},
            {"type": "image_url", "image_url": {"url": "https://example.com/image.jpg"}}
        ]
    }]
)

completion = client.chat.completions.create(
    model="sonar-pro",
    messages=[{
        "role": "user",
        "content": [
            {"type": "text", "text": "Summarize this document"},
            {"type": "file_url", "file_url": {"url": "https://example.com/report.pdf"}}
        ]
    }]
)

completion = client.chat.completions.create(
    model="sonar",
    messages=[{"role": "user", "content": "Mount Everest photos"}],
    return_images=True,
    image_format_filter=["jpg", "png"]
)

# Allowlist: include only these domains
search = client.search.create(
    query="climate research",
    search_domain_filter=["science.org", "nature.com"]
)

# Denylist: exclude these domains
search = client.search.create(
    query="tech news",
    search_domain_filter=["-reddit.com", "-pinterest.com"]
)

search = client.search.create(
    query=[
        "AI trends 2024",
        "machine learning healthcare",
        "neural networks applications"
    ],
    max_results=5
)

for i, query_results in enumerate(search.results):
    print(f"Query {i+1} results:")
    for result in query_results:
        print(f"  {result.title}")

from pydantic import BaseModel

class ContactInfo(BaseModel):
    email: str
    phone: str

completion = client.chat.completions.create(
    model="sonar-pro",
    messages=[{"role": "user", "content": "Find contact for Tesla IR"}],
    response_format={
        "type": "json_schema",
        "json_schema": {"schema": ContactInfo.model_json_schema()}
    }
)

contact = ContactInfo.model_validate_json(completion.choices[0].message.content)

import asyncio
from perplexity import AsyncPerplexity

async def main():
    async with AsyncPerplexity() as client:
        tasks = [
            client.search.create(query="AI news"),
            client.search.create(query="tech trends")
        ]
        results = await asyncio.gather(*tasks)

asyncio.run(main())

import time
from perplexity import RateLimitError

def search_with_retry(client, query, max_retries=3):
    for attempt in range(max_retries):
        try:
            return client.search.create(query=query)
        except RateLimitError:
            if attempt < max_retries - 1:
                time.sleep(2 ** attempt)
            else:
                raise

import perplexity

try:
    completion = client.chat.completions.create(...)
except perplexity.BadRequestError as e:
    print(f"Invalid parameters: {e}")
except perplexity.RateLimitError:
    print("Rate limited, retry later")
except perplexity.APIStatusError as e:
    print(f"API error: {e.status_code}")