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ChatPerplexity

本页面将帮助您开始使用 Perplexity 聊天模型。有关所有 ChatPerplexity 功能和配置的详细文档，请参阅API 参考。

概述​

集成详情​

类别包本地可序列化JS 支持包下载量最新包版本
ChatPerplexitylangchain-perplexity❌测试版❌PyPI - DownloadsPyPI - Version

模型特性​

工具调用结构化输出JSON 模式图片输入音频输入视频输入逐令牌流式传输原生异步令牌使用量对数概率
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设置​

要访问 Perplexity 模型，您需要创建一个 Perplexity 帐户，获取一个 API 密钥，并安装 langchain-perplexity 集成包。

凭证​

前往此页面注册 Perplexity 并生成 API 密钥。完成此操作后，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跟踪，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

所提供的代码假定您的 PPLX_API_KEY 已在环境变量中设置。如果您想手动指定 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。为了复现性，我们可以通过在此笔记本中将其作为输入来动态设置 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'

您可以像往常一样格式化和组织提示词。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 特定参数​

您还可以通过 ChatPerplexity 类使用 Perplexity 特定参数。例如，可以通过 extra_body 参数使用 search_domain_filter、return_images、return_related_questions 或 search_recency_filter 等参数，如下所示：

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 通常会提供其查阅的网页列表（“search_results”）。您无需传递任何特殊参数 — 该列表位于 response.additional_kwargs["search_results"] 中。

chat = ChatPerplexity(temperature=0, model="sonar")

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

# Main answer
print(response.content)

# First two supporting search results
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 还支持流式传输功能：​

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 支持面向 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)