智能体案例分析：IT新闻聚合智能体

import scrapy
from datetime import datetime

class TechNewsSpider(scrapy.Spider):
    name = 'tech_news'
    start_urls = ['https://techcrunch.com/category/artificial-intelligence/']

    def parse(self, response):
        for article in response.css('div.post-block'):
            yield {
                'title': article.css('h2 a::text').get(),
                'url': article.css('h2 a::attr(href)').get(),
                'timestamp': datetime.now().isoformat(),
                'source': 'TechCrunch'
            }

from transformers import pipeline

classifier = pipeline("text-classification", model="distilbert-base-uncased")
summarizer = pipeline("summarization", model="t5-small")

def analyze_article(text):
    sentiment = classifier(text[:512])[0]
    summary = summarizer(text, max_length=130)[0]['summary_text']
    return {
        'sentiment': sentiment['label'],
        'confidence': sentiment['score'],
        'summary': summary
    }

CREATE (n:Technology {name:'AI'})-[:RELATED_TO]->(m:Company {name:'OpenAI'})
CREATE (n)-[:MENTIONED_IN]->(a:Article {title:'GPT-4 Release'})