ChatPerplexity

本页将帮助您开始使用 Perplexity 聊天模型。有关所有ChatPerplexity功能和配置可参考 API 参考。

概述

集成详细信息

类	包	本地化	序列 化	JS 支持	软件包下载	最新包装
ChatPerplexity	langchain-perplexity	❌	beta	❌

模型特点

工具调用	结构化输出	JSON 模式	图像输入	音频输入	视频输入	令牌级流式处理	本机异步	Token 使用情况	日志
❌	✅	✅	❌	❌	❌	✅	❌	✅	❌

设置

要访问 Perplexity 模型，您需要创建一个 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。完成此作后，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

API 参考：ChatPromptTemplate | ChatPerplexity

提供的代码假定您的PPLX_API_KEY在环境变量中设置。如果您想手动指定 API 密钥并选择其他模型，可以使用以下代码：

chat = ChatPerplexity(
    temperature=0, pplx_api_key="YOUR_API_KEY", model="llama-3-sonar-small-32k-online"
)

您可以在此处查看可用型号列表。为了实现可重现性，我们可以将 API 密钥作为此笔记本中的输入来动态设置 API 密钥。

chat = ChatPerplexity(temperature=0, model="llama-3.1-sonar-small-128k-online")

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构建提示。在下面的示例中，我们要求模型告诉我们一个关于猫的笑话。

chat = ChatPerplexity(temperature=0, model="llama-3.1-sonar-small-128k-online")
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'

使用 Perplexity 特定的参数ChatPerplexity

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

chat = ChatPerplexity(temperature=0.7, model="llama-3.1-sonar-small-128k-online")
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]"

ChatPerplexity还支持流式处理功能：

chat = ChatPerplexity(temperature=0.7, model="llama-3.1-sonar-small-128k-online")

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支持第 3+ 层用户的结构化输出

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)

相关

• 聊天模型概念指南
• 聊天模型操作指南