refactor(docker): improve server architecture and configuration

Complete overhaul of Docker deployment setup with improved architecture:
- Add Redis integration for task management
- Implement rate limiting and security middleware
- Add Prometheus metrics and health checks
- Improve error handling and logging
- Add support for streaming responses
- Implement proper configuration management
- Add platform-specific optimizations for ARM64/AMD64

BREAKING CHANGE: Docker deployment now requires Redis and new config.yml structure

docs/examples/llm_markdown_generator.py

@@ -46,6 +46,7 @@ async def test_llm_filter():
             provider="openai/gpt-4o",
             api_token=os.getenv('OPENAI_API_KEY'),
             chunk_token_threshold=2 ** 12 * 2, # 2048 * 2
+            ignore_cache = True,
             instruction="""
             Extract the main educational content while preserving its original wording and substance completely. Your task is to:
 
@@ -68,7 +69,7 @@ async def test_llm_filter():
         )        
 
         # Apply filtering
-        filtered_content = filter.filter_content(html, ignore_cache = True)
+        filtered_content = filter.filter_content(html)
         
         # Show results
         print("\nFiltered Content Length:", len(filtered_content))