Enhance LLM functionality with PRO mode support and improved prompt handling

- Added support for PRO mode in LLM with specific instruction handling and context awareness.
- Updated prompt building functions to include prefill options for better context management.
- Introduced new inline examples for PRO mode in JSON format.
- Enhanced system prompts to reflect PRO mode capabilities and rules.
- Modified API endpoints to accommodate new parameters and ensure backward compatibility.
- Improved test cases to validate new functionality and ensure comprehensive coverage.

backend/prompts/__init__.py

@@ -40,5 +40,13 @@ def get_inline_examples() -> str:
     return _prompts.get("inline_examples", {}).get("content", "")
 
 
+def get_system_prompt_pro_template() -> str:
+    return _prompts.get("system_prompt_pro", {}).get("template", "")
+
+
+def get_inline_examples_pro() -> str:
+    return _prompts.get("inline_examples_pro", {}).get("content", "")
+
+
 def get_vlm_ocr_prompt() -> str:
     return _prompts.get("vlm_ocr", {}).get("prompt", "")