Feat/llm config (#724)

* feature: Add LlmConfig to easily configure and pass LLM configs to different strategies

* pulled in next branch and resolved conflicts

* feat: Add gemini and deepseek providers. Make ignore_cache in llm content filter to true by default to avoid confusions

* Refactor: Update LlmConfig in LLMExtractionStrategy class and deprecate old params

* updated tests, docs and readme

tests/async/test_chunking_and_extraction_strategies.py

@@ -7,6 +7,7 @@ import json
 parent_dir = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
 sys.path.append(parent_dir)
 
+from crawl4ai.async_configs import LlmConfig
 from crawl4ai.async_webcrawler import AsyncWebCrawler
 from crawl4ai.chunking_strategy import RegexChunking
 from crawl4ai.extraction_strategy import LLMExtractionStrategy
@@ -48,8 +49,7 @@ async def test_llm_extraction_strategy():
     async with AsyncWebCrawler(verbose=True) as crawler:
         url = "https://www.nbcnews.com/business"
         extraction_strategy = LLMExtractionStrategy(
-            provider="openai/gpt-4o-mini",
-            api_token=os.getenv("OPENAI_API_KEY"),
+            llmConfig=LlmConfig(provider="openai/gpt-4o-mini",api_token=os.getenv("OPENAI_API_KEY")),
             instruction="Extract only content related to technology",
         )
         result = await crawler.arun(