Article summarizer

import os
import anthropic
from specstream_client import Client

# 1. The Extract API reads the article into Markdown.
client = Client(api_key=os.environ["SPECSTREAM_API_KEY"])
page = client.extract_pages({"urls": ["https://www.paulgraham.com/greatwork.html"]})["results"][0]

# 2. Your model writes the summary from that text.
reply = anthropic.Anthropic().messages.create(
    model=os.environ["ANTHROPIC_MODEL"],
    max_tokens=1024,
    messages=[{"role": "user", "content": "Summarize this article in five bullet points.\n\n" + page["text"]}],
)
print(reply.content[0].text)

{
  "data": {
    "results": [
      {
        "url": "https://www.paulgraham.com/greatwork.html",
        "status": "ok",
        "title": "How to Do Great Work",
        "text": "If you collected lists of techniques for doing great work in a lot of different fields, what would the intersection look like? ..."
      }
    ]
  }
}