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
| 类 | 包 | 可序列化 | JS 支持 | 下载量 | 版本 |
|---|---|---|---|---|---|
| ChatPerplexity | langchain-perplexity | beta | ❌ |
模型功能
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:
Copy
import getpass
import os
if "PPLX_API_KEY" not in os.environ:
os.environ["PPLX_API_KEY"] = getpass.getpass("Enter your Perplexity API key: ")
Copy
os.environ["LANGSMITH_API_KEY"] = getpass.getpass("Enter your LangSmith API key: ")
os.environ["LANGSMITH_TRACING"] = "true"
Copy
from langchain_core.prompts import ChatPromptTemplate
from langchain_perplexity import ChatPerplexity
Copy
chat = ChatPerplexity(temperature=0, pplx_api_key="YOUR_API_KEY", model="sonar")
Copy
chat = ChatPerplexity(temperature=0, model="sonar")
Copy
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
Copy
'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'
Copy
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
Copy
'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:
Copy
chat = ChatPerplexity(temperature=0.7, model="sonar")
response = chat.invoke(
"Tell me a joke about cats", extra_body={"search_recency_filter": "week"}
)
response.content
Copy
"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。
Copy
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]
Copy
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.
Copy
[{'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
Copy
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)
Copy
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
Copy
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
Copy
AnswerFormat(first_name='Michael', last_name='Jordan', year_of_birth=1963, num_seasons_in_nba=15)
将这些文档连接到 Claude、VSCode 等工具,通过 MCP 获取实时解答。

