feat(browser): add standalone CDP browser launch and lxml extraction strategy

Add new features to enhance browser automation and HTML extraction:
- Add CDP browser launch capability with customizable ports and profiles
- Implement JsonLxmlExtractionStrategy for faster HTML parsing
- Add CLI command 'crwl cdp' for launching standalone CDP browsers
- Support connecting to external CDP browsers via URL
- Optimize selector caching and context-sensitive queries

BREAKING CHANGE: LLMConfig import path changed from crawl4ai.types to crawl4ai

docs/examples/extraction_strategies_examples.py

@@ -11,7 +11,7 @@ import asyncio
 import os
 
 from crawl4ai import AsyncWebCrawler, BrowserConfig, CrawlerRunConfig, CacheMode
-from crawl4ai.types import LLMConfig
+from crawl4ai import LLMConfig
 from crawl4ai.extraction_strategy import (
     LLMExtractionStrategy,
     JsonCssExtractionStrategy,

docs/examples/llm_extraction_openai_pricing.py

@@ -1,4 +1,4 @@
-from crawl4ai.types import LLMConfig
+from crawl4ai import LLMConfig
 from crawl4ai import AsyncWebCrawler, LLMExtractionStrategy
 import asyncio
 import os

docs/examples/llm_markdown_generator.py

@@ -1,7 +1,7 @@
 import os
 import asyncio
 from crawl4ai import AsyncWebCrawler, BrowserConfig, CrawlerRunConfig, CacheMode
-from crawl4ai.types import LLMConfig
+from crawl4ai import LLMConfig
 from crawl4ai.content_filter_strategy import LLMContentFilter
 
 async def test_llm_filter():

docs/examples/quickstart_async.config.py

@@ -1,6 +1,6 @@
 import os, sys
 
-from crawl4ai.types import LLMConfig
+from crawl4ai import LLMConfig
 
 sys.path.append(
     os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))

docs/examples/quickstart_async.py

@@ -1,6 +1,6 @@
 import os, sys
 
-from crawl4ai.types import LLMConfig
+from crawl4ai import LLMConfig
 
 # append parent directory to system path
 sys.path.append(

docs/examples/quickstart_sync.py

@@ -1,6 +1,6 @@
 import os
 import time
-from crawl4ai.types import LLMConfig
+from crawl4ai import LLMConfig
 from crawl4ai.web_crawler import WebCrawler
 from crawl4ai.chunking_strategy import *
 from crawl4ai.extraction_strategy import *

docs/examples/tutorial_v0.5.py

@@ -17,7 +17,7 @@ from crawl4ai.configs import ProxyConfig
 from crawl4ai import RoundRobinProxyStrategy
 from crawl4ai.content_filter_strategy import LLMContentFilter
 from crawl4ai import DefaultMarkdownGenerator
-from crawl4ai.types import LLMConfig
+from crawl4ai import LLMConfig
 from crawl4ai.extraction_strategy import JsonCssExtractionStrategy
 from crawl4ai.processors.pdf import PDFCrawlerStrategy, PDFContentScrapingStrategy
 from pprint import pprint

docs/md_v2/api/strategies.md

@@ -131,7 +131,7 @@ OverlappingWindowChunking(
 ```python
 from pydantic import BaseModel
 from crawl4ai.extraction_strategy import LLMExtractionStrategy
-from crawl4ai.types import LLMConfig
+from crawl4ai import LLMConfig
 
 # Define schema
 class Article(BaseModel):
@@ -198,7 +198,7 @@ result = await crawler.arun(
 
 ```python
 from crawl4ai.chunking_strategy import OverlappingWindowChunking
-from crawl4ai.types import LLMConfig
+from crawl4ai import LLMConfig
 
 # Create chunking strategy
 chunker = OverlappingWindowChunking(

docs/md_v2/blog/releases/0.5.0.md

@@ -305,7 +305,7 @@ asyncio.run(main())
 ```python
 from crawl4ai import AsyncWebCrawler, CrawlerRunConfig, DefaultMarkdownGenerator
 from crawl4ai.content_filter_strategy import LLMContentFilter
-from crawl4ai.types import LLMConfig
+from crawl4ai import LLMConfig
 import asyncio
 
 llm_config = LLMConfig(provider="gemini/gemini-1.5-pro", api_token="env:GEMINI_API_KEY")
@@ -335,7 +335,7 @@ asyncio.run(main())
 
 ```python
 from crawl4ai.extraction_strategy import JsonCssExtractionStrategy
-from crawl4ai.types import LLMConfig
+from crawl4ai import LLMConfig
 
 llm_config = LLMConfig(provider="gemini/gemini-1.5-pro", api_token="env:GEMINI_API_KEY")
 
@@ -401,7 +401,7 @@ print(schema)
   experimentation between different LLM configurations.
 
   ```python
-  from crawl4ai.types import LLMConfig
+  from crawl4ai import LLMConfig
   from crawl4ai.extraction_strategy import LLMExtractionStrategy
   from crawl4ai import AsyncWebCrawler, CrawlerRunConfig
 

docs/md_v2/core/quickstart.md

@@ -128,7 +128,7 @@ Crawl4AI can also extract structured data (JSON) using CSS or XPath selectors. B
 
 ```python
 from crawl4ai.extraction_strategy import JsonCssExtractionStrategy
-from crawl4ai.types import LLMConfig
+from crawl4ai import LLMConfig
 
 # Generate a schema (one-time cost)
 html = "<div class='product'><h2>Gaming Laptop</h2><span class='price'>$999.99</span></div>"

docs/md_v2/extraction/no-llm-strategies.md

@@ -415,7 +415,7 @@ The schema generator is available as a static method on both `JsonCssExtractionS
 
 ```python
 from crawl4ai.extraction_strategy import JsonCssExtractionStrategy, JsonXPathExtractionStrategy
-from crawl4ai.types import LLMConfig
+from crawl4ai import LLMConfig
 
 # Sample HTML with product information
 html = """