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本页面将帮助您快速上手 Perplexity 聊天模型。有关 ChatPerplexity 所有特性和配置的详细文档,请参阅 API 参考

概述

集成详情

可序列化JS 支持下载量版本
ChatPerplexitylangchain-perplexitybetaPyPI - DownloadsPyPI - Version

模型功能

工具调用结构化输出图像输入音频输入视频输入Token 级流式输出原生异步Token 用量对数概率

安装配置

要访问 Perplexity 模型,您需要创建 Perplexity 账户、获取 API 密钥,并安装 langchain-perplexity 集成包。

凭据

前往此页面注册 Perplexity 并生成 API 密钥。完成后,设置 PPLX_API_KEY 环境变量:
import getpass
import os

if "PPLX_API_KEY" not in os.environ:
    os.environ["PPLX_API_KEY"] = getpass.getpass("Enter your Perplexity API key: ")
要启用模型调用的自动追踪,请设置您的 LangSmith API 密钥:
os.environ["LANGSMITH_API_KEY"] = getpass.getpass("Enter your LangSmith API key: ")
os.environ["LANGSMITH_TRACING"] = "true"
from langchain_core.prompts import ChatPromptTemplate
from langchain_perplexity import ChatPerplexity
以上代码假设您已在环境变量中设置 PPLX_API_KEY。如果希望手动指定 API 密钥并选择不同的模型,可以使用以下代码:
chat = ChatPerplexity(temperature=0, pplx_api_key="YOUR_API_KEY", model="sonar")
您可以在此处查看可用模型列表。为了保证可复现性,可以在本文中通过输入的方式动态设置 API 密钥。
chat = ChatPerplexity(temperature=0, model="sonar")
system = "You are a helpful assistant."
human = "{input}"
prompt = ChatPromptTemplate.from_messages([("system", system), ("human", human)])

chain = prompt | chat
response = chain.invoke({"input": "Why is the Higgs Boson important?"})
response.content
'The Higgs Boson is an elementary subatomic particle that plays a crucial role in the Standard Model of particle physics, which accounts for three of the four fundamental forces governing the behavior of our universe: the strong and weak nuclear forces, electromagnetism, and gravity. The Higgs Boson is important for several reasons:\n\n1. **Final Elementary Particle**: The Higgs Boson is the last elementary particle waiting to be discovered under the Standard Model. Its detection helps complete the Standard Model and further our understanding of the fundamental forces in the universe.\n\n2. **Mass Generation**: The Higgs Boson is responsible for giving mass to other particles, a process that occurs through its interaction with the Higgs field. This mass generation is essential for the formation of atoms, molecules, and the visible matter we observe in the universe.\n\n3. **Implications for New Physics**: While the detection of the Higgs Boson has confirmed many aspects of the Standard Model, it also opens up new possibilities for discoveries beyond the Standard Model. Further research on the Higgs Boson could reveal insights into the nature of dark matter, supersymmetry, and other exotic phenomena.\n\n4. **Advancements in Technology**: The search for the Higgs Boson has led to significant advancements in technology, such as the development of artificial intelligence and machine learning algorithms used in particle accelerators like the Large Hadron Collider (LHC). These advancements have not only contributed to the discovery of the Higgs Boson but also have potential applications in various other fields.\n\nIn summary, the Higgs Boson is important because it completes the Standard Model, plays a crucial role in mass generation, hints at new physics phenomena beyond the Standard Model, and drives advancements in technology.\n'
您可以像往常一样对提示进行格式化和结构化。在以下示例中,我们要求模型讲一个关于猫的笑话。
chat = ChatPerplexity(temperature=0, model="sonar")
prompt = ChatPromptTemplate.from_messages([("human", "Tell me a joke about {topic}")])
chain = prompt | chat
response = chain.invoke({"topic": "cats"})
response.content
'Here\'s a joke about cats:\n\nWhy did the cat want math lessons from a mermaid?\n\nBecause it couldn\'t find its "core purpose" in life!\n\nRemember, cats are unique and fascinating creatures, and each one has its own special traits and abilities. While some may see them as mysterious or even a bit aloof, they are still beloved pets that bring joy and companionship to their owners. So, if your cat ever seeks guidance from a mermaid, just remember that they are on their own journey to self-discovery!\n'

通过 ChatPerplexity 使用 Perplexity 专属参数

您还可以通过 ChatPerplexity 类使用 Perplexity 专属参数,例如通过 extra_body 参数传入 search_domain_filter、return_images、return_related_questions 或 search_recency_filter 等参数,示例如下:
chat = ChatPerplexity(temperature=0.7, model="sonar")
response = chat.invoke(
    "Tell me a joke about cats", extra_body={"search_recency_filter": "week"}
)
response.content
"Sure, here's a cat joke for you:\n\nWhy are cats bad storytellers?\n\nBecause they only have one tale. (Pun alert!)\n\nSource: OneLineFun.com [4]"

访问搜索结果元数据

Perplexity 通常会提供其参考的网页列表(“search_results”)。 无需传入任何特殊参数——该列表会直接存放在 response.additional_kwargs["search_results"] 中。
chat = ChatPerplexity(temperature=0, model="sonar")

response = chat.invoke(
    "What is the tallest mountain in South America?",
)

# 主要答案
print(response.content)

# 前两条支持性搜索结果
response.additional_kwargs["search_results"][:2]
The tallest mountain in South America is Aconcagua. It has a summit elevation of approximately 6,961 meters (22,838 feet), making it not only the highest peak in South America but also the highest mountain in the Americas, the Western Hemisphere, and the Southern Hemisphere[1]\[2]\[4].

Aconcagua is located in the Principal Cordillera of the Andes mountain range, in Mendoza Province, Argentina, near the border with Chile[1]\[2]\[4]. It is of volcanic origin but is not an active volcano[4]. The mountain is part of Aconcagua Provincial Park and features several glaciers, including the large Ventisquero Horcones Inferior glacier[1].

In summary, Aconcagua stands as the tallest mountain in South America at about 6,961 meters (22,838 feet) in height.
[{'title': 'Aconcagua - Wikipedia',
  'url': 'https://en.wikipedia.org/wiki/Aconcagua',
  'date': None},
 {'title': 'The 10 Highest Mountains in South America - Much Better Adventures',
  'url': 'https://www.muchbetteradventures.com/magazine/highest-mountains-south-america/',
  'date': '2023-07-05'}]

ChatPerplexity 也支持流式输出

chat = ChatPerplexity(temperature=0.7, model="sonar")

for chunk in chat.stream("Give me a list of famous tourist attractions in Pakistan"):
    print(chunk.content, end="", flush=True)
Here is a list of some famous tourist attractions in Pakistan:

1. **Minar-e-Pakistan**: A 62-meter high minaret in Lahore that represents the history of Pakistan.
2. **Badshahi Mosque**: A historic mosque in Lahore with a capacity of 10,000 worshippers.
3. **Shalimar Gardens**: A beautiful garden in Lahore with landscaped grounds and a series of cascading pools.
4. **Pakistan Monument**: A national monument in Islamabad representing the four provinces and three districts of Pakistan.
5. **National Museum of Pakistan**: A museum in Karachi showcasing the country's cultural history.
6. **Faisal Mosque**: A large mosque in Islamabad that can accommodate up to 300,000 worshippers.
7. **Clifton Beach**: A popular beach in Karachi offering water activities and recreational facilities.
8. **Kartarpur Corridor**: A visa-free border crossing and religious corridor connecting Gurdwara Darbar Sahib in Pakistan to Gurudwara Sri Kartarpur Sahib in India.
9. **Mohenjo-daro**: An ancient Indus Valley civilization site in Sindh, Pakistan, dating back to around 2500 BCE.
10. **Hunza Valley**: A picturesque valley in Gilgit-Baltistan known for its stunning mountain scenery and unique culture.

These attractions showcase the rich history, diverse culture, and natural beauty of Pakistan, making them popular destinations for both local and international tourists.

ChatPerplexity 支持适用于 tier 3+ 用户的结构化输出

from pydantic import BaseModel


class AnswerFormat(BaseModel):
    first_name: str
    last_name: str
    year_of_birth: int
    num_seasons_in_nba: int


chat = ChatPerplexity(temperature=0.7, model="sonar-pro")
structured_chat = chat.with_structured_output(AnswerFormat)
response = structured_chat.invoke(
    "Tell me about Michael Jordan. Return your answer "
    "as JSON with keys first_name (str), last_name (str), "
    "year_of_birth (int), and num_seasons_in_nba (int)."
)
response
AnswerFormat(first_name='Michael', last_name='Jordan', year_of_birth=1963, num_seasons_in_nba=15)