feat: Add LOCAL variable support for responses with UTF-8 JSON encoding.

Description: This feature adds support for UTF-8 encoding in JSON responses, allowing for proper handling of special characters and emojis.

- Implement unit tests for UTF-8 encoding in various model providers including Gemini, OpenAI, and OpenAI Compatible.
- Validate UTF-8 support in token counting, content generation, and error handling.
- Introduce tests for JSON serialization ensuring proper handling of French characters and emojis.
- Create tests for language instruction generation based on locale settings.
- Validate UTF-8 handling in workflow tools including AnalyzeTool, CodereviewTool, and DebugIssueTool.
- Ensure that all tests check for correct UTF-8 character preservation and proper JSON formatting.
- Add integration tests to verify the interaction between locale settings and model responses.

simulator_tests/test_analyze_validation.py

@@ -112,11 +112,9 @@ class UserService:
         result = await self.db.execute(
             "SELECT * FROM users WHERE id = %s", (user_id,)
         )
-        user_data = result.fetchone()
-
-        if user_data:
+        user_data = result.fetchone()        if user_data:
             # Cache for 1 hour - magic number
-            self.cache.setex(cache_key, 3600, json.dumps(user_data))
+            self.cache.setex(cache_key, 3600, json.dumps(user_data, ensure_ascii=False))
 
         return user_data
 
@@ -273,10 +271,8 @@ class UserProfile(Base):
         try:
             return json.loads(self.preferences) if self.preferences else {}
         except json.JSONDecodeError:
-            return {}
-
-    def set_preferences(self, prefs: dict):
-        self.preferences = json.dumps(prefs)
+            return {}    def set_preferences(self, prefs: dict):
+        self.preferences = json.dumps(prefs, ensure_ascii=False)
 
 class AuditLog(Base):
     __tablename__ = "audit_logs"
@@ -298,7 +294,7 @@ class AuditLog(Base):
         log = cls(
             user_id=user_id,
             action=action,
-            details=json.dumps(details) if details else None,
+            details=json.dumps(details, ensure_ascii=False) if details else None,
             ip_address=ip_address,
             user_agent=user_agent
         )
@@ -692,9 +688,7 @@ class PerformanceTimer:
 
             if not response_final_data.get("analysis_complete"):
                 self.logger.error("Expected analysis_complete=true for final step")
-                return False
-
-            # Check for expert analysis
+                return False            # Check for expert analysis
             if "expert_analysis" not in response_final_data:
                 self.logger.error("Missing expert_analysis in final response")
                 return False
@@ -702,7 +696,7 @@ class PerformanceTimer:
             expert_analysis = response_final_data.get("expert_analysis", {})
 
             # Check for expected analysis content (checking common patterns)
-            analysis_text = json.dumps(expert_analysis).lower()
+            analysis_text = json.dumps(expert_analysis, ensure_ascii=False).lower()
 
             # Look for architectural analysis indicators
             arch_indicators = ["architecture", "pattern", "coupling", "dependency", "scalability", "maintainability"]