chore: import upstream snapshot with attribution

docs/examples/summarize_page.py

@@ -0,0 +1,53 @@
+import asyncio
+import json
+import os
+
+from pydantic import BaseModel, Field
+
+from crawl4ai import AsyncWebCrawler, CrawlerRunConfig, LLMConfig
+from crawl4ai import CacheMode, LLMExtractionStrategy
+
+url = r"https://marketplace.visualstudio.com/items?itemName=Unclecode.groqopilot"
+
+class PageSummary(BaseModel):
+    title: str = Field(..., description="Title of the page.")
+    summary: str = Field(..., description="Summary of the page.")
+    brief_summary: str = Field(..., description="Brief summary of the page.")
+    keywords: list = Field(..., description="Keywords assigned to the page.")
+
+
+async def main():
+    async with AsyncWebCrawler() as crawler:
+        result = await crawler.arun(
+            url=url,
+            config=CrawlerRunConfig(
+                word_count_threshold=1,
+                cache_mode=CacheMode.BYPASS,
+                extraction_strategy=LLMExtractionStrategy(
+                    llm_config=LLMConfig(
+                        provider="openai/gpt-4o",
+                        api_token=os.getenv("OPENAI_API_KEY"),
+                    ),
+                    schema=PageSummary.model_json_schema(),
+                    extraction_type="schema",
+                    apply_chunking=False,
+                    instruction="From the crawled content, extract the following details: "
+                    "1. Title of the page "
+                    "2. Summary of the page, which is a detailed summary "
+                    "3. Brief summary of the page, which is a paragraph text "
+                    "4. Keywords assigned to the page, which is a list of keywords. "
+                    'The extracted JSON format should look like this: '
+                    '{ "title": "Page Title", "summary": "Detailed summary of the page.", "brief_summary": "Brief summary in a paragraph.", "keywords": ["keyword1", "keyword2", "keyword3"] }',
+                ),
+            ),
+        )
+
+    page_summary = json.loads(result.extracted_content)
+    print(page_summary)
+
+    with open(".data/page_summary.json", "w", encoding="utf-8") as f:
+        f.write(result.extracted_content)
+
+
+if __name__ == "__main__":
+    asyncio.run(main())