Google 图书集成

pip install -qU  langchain-community

import os

from langchain_community.tools.google_books import GoogleBooksQueryRun
from langchain_community.utilities.google_books import GoogleBooksAPIWrapper

os.environ["GOOGLE_BOOKS_API_KEY"] = "<your Google Books API key>"
tool = GoogleBooksQueryRun(api_wrapper=GoogleBooksAPIWrapper())

tool.run("ai")

'Here are 5 suggestions for books related to ai:\n\n1. "AI's Take on the Stigma Against AI-Generated Content" by Sandy Y. Greenleaf: In a world where artificial intelligence (AI) is rapidly advancing and transforming various industries, a new form of content creation has emerged: AI-generated content. However, despite its potential to revolutionize the way we produce and consume information, AI-generated content often faces a significant stigma. "AI's Take on the Stigma Against AI-Generated Content" is a groundbreaking book that delves into the heart of this issue, exploring the reasons behind the stigma and offering a fresh, unbiased perspective on the topic. Written from the unique viewpoint of an AI, this book provides readers with a comprehensive understanding of the challenges and opportunities surrounding AI-generated content. Through engaging narratives, thought-provoking insights, and real-world examples, this book challenges readers to reconsider their preconceptions about AI-generated content. It explores the potential benefits of embracing this technology, such as increased efficiency, creativity, and accessibility, while also addressing the concerns and drawbacks that contribute to the stigma. As you journey through the pages of this book, you'll gain a deeper understanding of the complex relationship between humans and AI in the realm of content creation. You'll discover how AI can be used as a tool to enhance human creativity, rather than replace it, and how collaboration between humans and machines can lead to unprecedented levels of innovation. Whether you're a content creator, marketer, business owner, or simply someone curious about the future of AI and its impact on our society, "AI's Take on the Stigma Against AI-Generated Content" is an essential read. With its engaging writing style, well-researched insights, and practical strategies for navigating this new landscape, this book will leave you equipped with the knowledge and tools needed to embrace the AI revolution and harness its potential for success. Prepare to have your assumptions challenged, your mind expanded, and your perspective on AI-generated content forever changed. Get ready to embark on a captivating journey that will redefine the way you think about the future of content creation.\nYou can read more at https://play.google.com/store/books/details?id=4iH-EAAAQBAJ&source=gbs_api'

import os

from langchain_community.tools.google_books import GoogleBooksQueryRun
from langchain_community.utilities.google_books import GoogleBooksAPIWrapper

os.environ["GOOGLE_BOOKS_API_KEY"] = "<your Google Books API key>"
tool = GoogleBooksQueryRun(api_wrapper=GoogleBooksAPIWrapper())

tool.run("ai")

import getpass
import os

from langchain_community.tools.google_books import GoogleBooksQueryRun
from langchain_community.utilities.google_books import GoogleBooksAPIWrapper
from langchain_core.output_parsers import StrOutputParser
from langchain_core.prompts import PromptTemplate
from langchain_openai import ChatOpenAI

os.environ["OPENAI_API_KEY"] = getpass.getpass()
os.environ["GOOGLE_BOOKS_API_KEY"] = "<your Google Books API key>"

tool = GoogleBooksQueryRun(api_wrapper=GoogleBooksAPIWrapper())
llm = ChatOpenAI(model="gpt-4.1-mini")
prompt = PromptTemplate.from_template(
    "Return the keyword, and only the keyword, that the user is looking for from this text: {text}"
)


def suggest_books(query):
    chain = prompt | llm | StrOutputParser()
    keyword = chain.invoke({"text": query})
    return tool.run(keyword)


suggestions = suggest_books("I need some information on AI")
print(suggestions)

import getpass
import os

from langchain_classic import hub
from langchain.agents import AgentExecutor, create_tool_calling_agent
from langchain_community.tools.google_books import GoogleBooksQueryRun
from langchain_community.utilities.google_books import GoogleBooksAPIWrapper
from langchain_openai import ChatOpenAI

os.environ["OPENAI_API_KEY"] = getpass.getpass()
os.environ["GOOGLE_BOOKS_API_KEY"] = "<your Google Books API key>"

tool = GoogleBooksQueryRun(api_wrapper=GoogleBooksAPIWrapper())
llm = ChatOpenAI(model="gpt-4.1-mini")

instructions = """You are a book suggesting assistant."""
base_prompt = hub.pull("langchain-ai/openai-functions-template")
prompt = base_prompt.partial(instructions=instructions)

tools = [tool]
agent = create_tool_calling_agent(llm, tools, prompt)
agent_executor = AgentExecutor(
    agent=agent,
    tools=tools,
    verbose=True,
)

agent_executor.invoke({"input": "Can you recommend me some books related to ai?"})