feat: minor enhancements

Dockerfile

@@ -18,4 +18,7 @@ EXPOSE 8501
 
 HEALTHCHECK CMD curl --fail http://localhost:8501/_stcore/health
 
+# RUN guardrails configure && \
+#     guardrails hub install hub://guardrails/toxic_language
+
 ENTRYPOINT ["streamlit", "run", "app.py", "--server.port=8501", "--server.address=0.0.0.0"]

src/langgraphagenticai/llms/groqllm.py

@@ -2,7 +2,7 @@ import os
 import streamlit as st
 from langchain_groq import ChatGroq
 from src.langgraphagenticai.monitoring.langfuse_integration import create_monitored_llm, get_langfuse_callbacks
-from src.langgraphagenticai.guardrails.llm_wrapper import create_guardrails_llm
+from src.langgraphagenticai.guardrail.llm_wrapper import create_guardrails_llm
 
 
 class GroqLLM:

src/langgraphagenticai/ui/streamlitui/display_result.py

@@ -91,7 +91,7 @@ class DisplayResultStremlit:
     def _show_safety_info(self):
         """Show safety information"""
         try:
-            from src.langgraphagenticai.guardrails.validation_service import validation_service
+            from src.langgraphagenticai.guardrail.validation_service import validation_service
             if validation_service.config.is_enabled():
                 st.info("🛡️ This conversation is protected by Guardrails AI for safety and quality.")
         except Exception:

src/langgraphagenticai/ui/streamlitui/loadui.py

@@ -47,7 +47,7 @@ class LoadStreamlitUI:
             
             # Guardrails status
             try:
-                from src.langgraphagenticai.guardrails.validation_service import validation_service
+                from src.langgraphagenticai.guardrail.validation_service import validation_service
                 if validation_service.config.is_enabled():
                     st.success("🛡️ Guardrails: ON")
                     stats = validation_service.get_validation_stats()