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.

.env.example

@@ -108,3 +108,9 @@ MAX_CONVERSATION_TURNS=20
 # ERROR: Shows only errors
 LOG_LEVEL=DEBUG
 
+# Optional: Language/Locale for AI responses
+# When set, all AI tools will respond in the specified language
+# while maintaining their analytical capabilities
+# Examples: "fr-FR", "en-US", "zh-CN", "zh-TW", "ja-JP", "ko-KR", "es-ES"
+# Leave empty for default language (English)
+# LOCALE=fr-FR

config.py

@@ -136,6 +136,15 @@ def _calculate_mcp_prompt_limit() -> int:
 
 MCP_PROMPT_SIZE_LIMIT = _calculate_mcp_prompt_limit()
 
+# Language/Locale Configuration
+# LOCALE: Language/locale specification for AI responses
+# When set, all AI tools will respond in the specified language while
+# maintaining their analytical capabilities
+# Examples: "fr-FR", "en-US", "zh-CN", "zh-TW", "ja-JP", "ko-KR", "es-ES",
+# "de-DE", "it-IT", "pt-PT"
+# Leave empty for default language (English)
+LOCALE = os.getenv("LOCALE", "")
+
 # Threading configuration
 # Simple in-memory conversation threading for stateless MCP environment
 # Conversations persist only during the Claude session

docs/locale-configuration.md

@@ -0,0 +1,186 @@
+# Locale Configuration for Zen MCP Server
+
+This guide explains how to configure and use the localization feature to customize the language of responses from MCP tools.
+
+## Overview
+
+The localization feature allows you to specify the language in which MCP tools should respond, while maintaining their analytical capabilities. This is especially useful for non-English speakers who want to receive answers in their native language.
+
+## Configuration
+
+### 1. Environment Variable
+
+Set the language using the `LOCALE` environment variable in your `.env` file:
+
+```bash
+# In your .env file
+LOCALE=fr-FR
+```
+
+### 2. Supported Languages
+
+You can use any standard language code. Examples:
+
+- `fr-FR` - French (France)
+- `en-US` - English (United States)
+- `zh-CN` - Chinese (Simplified)
+- `zh-TW` - Chinese (Traditional)
+- `ja-JP` - Japanese
+- `ko-KR` - Korean
+- `es-ES` - Spanish (Spain)
+- `de-DE` - German (Germany)
+- `it-IT` - Italian (Italy)
+- `pt-PT` - Portuguese (Portugal)
+- `ru-RU` - Russian (Russia)
+- `ar-SA` - Arabic (Saudi Arabia)
+
+### 3. Default Behavior
+
+If no language is specified (`LOCALE` is empty or unset), tools will default to English.
+
+## Technical Implementation
+
+### Architecture
+
+Localization is implemented in the `BaseTool` class in `tools/shared/base_tool.py`. All tools inherit this feature automatically.
+
+### `get_language_instruction()` Method
+
+```python
+def get_language_instruction(self) -> str:
+    """
+    Generate language instruction based on LOCALE configuration.
+    Returns:
+        str: Language instruction to prepend to prompt, or empty string if no locale set
+    """
+    from config import LOCALE
+    if not LOCALE or not LOCALE.strip():
+        return ""
+    return f"Always respond in {LOCALE.strip()}.\n\n"
+```
+
+### Integration in Tool Execution
+
+The language instruction is automatically prepended to the system prompt of each tool:
+
+```python
+# In tools/simple/base.py
+base_system_prompt = self.get_system_prompt()
+language_instruction = self.get_language_instruction()
+system_prompt = language_instruction + base_system_prompt
+```
+
+## Usage
+
+### 1. Basic Setup
+
+1. Edit your `.env` file:
+   ```bash
+   LOCALE=fr-FR
+   ```
+2. Restart the MCP server:
+   ```bash
+   python server.py
+   ```
+3. Use any tool – responses will be in the specified language.
+
+### 2. Example
+
+**Before (default English):**
+```
+Tool: chat
+Input: "Explain how to use Python dictionaries"
+Output: "Python dictionaries are key-value pairs that allow you to store and organize data..."
+```
+
+**After (with LOCALE=fr-FR):**
+```
+Tool: chat
+Input: "Explain how to use Python dictionaries"
+Output: "Les dictionnaires Python sont des paires clé-valeur qui permettent de stocker et d'organiser des données..."
+```
+
+### 3. Affected Tools
+
+All MCP tools are affected by this configuration:
+
+- `chat` – General conversation
+- `codereview` – Code review
+- `analyze` – Code analysis
+- `debug` – Debugging
+- `refactor` – Refactoring
+- `thinkdeep` – Deep thinking
+- `consensus` – Model consensus
+- And all other tools...
+
+## Best Practices
+
+### 1. Language Choice
+- Use standard language codes (ISO 639-1 with ISO 3166-1 country codes)
+- Be specific with regional variants if needed (e.g., `zh-CN` vs `zh-TW`)
+
+### 2. Consistency
+- Use the same language setting across your team for consistency
+- Document the chosen language in your team documentation
+
+### 3. Testing
+- Test the configuration with different tools to ensure consistency
+
+## Troubleshooting
+
+### Issue: Language does not change
+**Solution:**
+1. Check that the `LOCALE` variable is correctly set in `.env`
+2. Fully restart the MCP server
+3. Ensure there are no extra spaces in the value
+
+### Issue: Partially translated responses
+**Explanation:**
+- AI models may sometimes mix languages
+- This depends on the multilingual capabilities of the model used
+- Technical terms may remain in English
+
+### Issue: Configuration errors
+**Solution:**
+1. Check the syntax of your `.env` file
+2. Make sure there are no quotes around the value
+
+## Advanced Customization
+
+### Customizing the Language Instruction
+
+To customize the language instruction, modify the `get_language_instruction()` method in `tools/shared/base_tool.py`:
+
+```python
+def get_language_instruction(self) -> str:
+    from config import LOCALE
+    if not LOCALE or not LOCALE.strip():
+        return ""
+    # Custom instruction
+    return f"Always respond in {LOCALE.strip()} and use a professional tone.\n\n"
+```
+
+### Per-Tool Customization
+
+You can also override the method in specific tools for custom behavior:
+
+```python
+class MyCustomTool(SimpleTool):
+    def get_language_instruction(self) -> str:
+        from config import LOCALE
+        if LOCALE == "fr-FR":
+            return "Respond in French with precise technical vocabulary.\n\n"
+        elif LOCALE == "zh-CN":
+            return "请用中文回答，使用专业术语。\n\n"
+        else:
+            return super().get_language_instruction()
+```
+
+## Integration with Other Features
+
+Localization works with all other MCP server features:
+
+- **Conversation threading** – Multilingual conversations are supported
+- **File processing** – File analysis is in the specified language
+- **Web search** – Search instructions remain functional
+- **Model selection** – Works with all supported models

providers/openai_compatible.py

@@ -311,11 +311,10 @@ class OpenAICompatibleProvider(ModelProvider):
         last_exception = None
 
         for attempt in range(max_retries):
-            try:
-                # Log the exact payload being sent for debugging
+            try:                # Log the exact payload being sent for debugging
                 import json
 
-                logging.info(f"o3-pro API request payload: {json.dumps(completion_params, indent=2)}")
+                logging.info(f"o3-pro API request payload: {json.dumps(completion_params, indent=2, ensure_ascii=False)}")
 
                 # Use OpenAI client's responses endpoint
                 response = self.client.responses.create(**completion_params)

simulator_tests/base_test.py

@@ -136,10 +136,12 @@ class Calculator:
                 "id": 2,
                 "method": "tools/call",
                 "params": {"name": tool_name, "arguments": params},
-            }
-
-            # Combine all messages
-            messages = [json.dumps(init_request), json.dumps(initialized_notification), json.dumps(tool_request)]
+            }            # Combine all messages
+            messages = [
+                json.dumps(init_request, ensure_ascii=False), 
+                json.dumps(initialized_notification, ensure_ascii=False), 
+                json.dumps(tool_request, ensure_ascii=False)
+            ]
 
             # Join with newlines as MCP expects
             input_data = "\n".join(messages) + "\n"

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"]

simulator_tests/test_codereview_validation.py

@@ -514,7 +514,7 @@ class ConfigurationManager:
             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 code review identification
             review_indicators = ["security", "vulnerability", "performance", "critical", "api", "key"]

simulator_tests/test_debug_validation.py

@@ -385,7 +385,7 @@ RuntimeError: dictionary changed size during iteration
             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 bug identification
             bug_indicators = ["dictionary", "iteration", "modify", "runtime", "error", "del"]

simulator_tests/test_precommitworkflow_validation.py

@@ -430,7 +430,7 @@ REQUIREMENTS:
             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 security issue identification
             security_indicators = ["sql", "injection", "security", "hardcoded", "secret", "authentication"]

simulator_tests/test_refactor_validation.py

@@ -125,7 +125,7 @@ class DataProcessorManager:
         # Code smell: Duplicate date formatting logic
         if output_format == 'json':
             processed_data['processed_at'] = datetime.now().strftime('%Y-%m-%d %H:%M:%S')
-            result = json.dumps(processed_data)
+            result = json.dumps(processed_data, ensure_ascii=False)
         elif output_format == 'csv':
             processed_data['processed_at'] = datetime.now().strftime('%Y-%m-%d %H:%M:%S')
             result = f"{processed_data['full_name']},{processed_data['email_domain']},{processed_data['age_category']}"
@@ -580,7 +580,7 @@ class UserData:
                     self.logger.error("Missing expert_analysis in final response")
                     return False
                 expert_analysis = response_final_data.get("expert_analysis", {})
-                analysis_content = json.dumps(expert_analysis).lower()
+                analysis_content = json.dumps(expert_analysis, ensure_ascii=False).lower()
             elif actual_status == "files_required_to_continue":
                 # For files_required_to_continue, analysis is in content field
                 if "content" not in response_final_data:
@@ -708,7 +708,7 @@ def format_output(data, format_type):
     \"\"\"Format output - duplicate logic\"\"\"
     if format_type == 'json':
         import json
-        return json.dumps(data)
+        return json.dumps(data, ensure_ascii=False)
     elif format_type == 'csv':
         return ','.join(str(v) for v in data.values())
     else:

simulator_tests/test_testgen_validation.py

@@ -346,7 +346,7 @@ class TestCalculatorBasic:
             expert_analysis = response_final_data.get("expert_analysis", {})
 
             # Check for expected analysis content
-            analysis_text = json.dumps(expert_analysis).lower()
+            analysis_text = json.dumps(expert_analysis, ensure_ascii=False).lower()
 
             # Look for test generation indicators
             test_indicators = ["test", "edge", "boundary", "error", "coverage", "pytest"]

simulator_tests/test_thinkdeep_validation.py

@@ -415,7 +415,7 @@ class ThinkDeepWorkflowValidationTest(ConversationBaseTest):
                         expert_analysis = {"analysis": 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 thinking analysis validation
             thinking_indicators = ["migration", "strategy", "microservices", "risk", "approach", "implementation"]

tests/test_collaboration.py

@@ -34,7 +34,8 @@ class TestDynamicContextRequests:
                 "status": "files_required_to_continue",
                 "mandatory_instructions": "I need to see the package.json file to understand dependencies",
                 "files_needed": ["package.json", "package-lock.json"],
-            }
+            },
+            ensure_ascii=False
         )
 
         mock_provider = create_mock_provider()
@@ -174,7 +175,8 @@ class TestDynamicContextRequests:
                         ],
                     },
                 },
-            }
+            },
+            ensure_ascii=False
         )
 
         mock_provider = create_mock_provider()
@@ -339,7 +341,8 @@ class TestCollaborationWorkflow:
                 "status": "files_required_to_continue",
                 "mandatory_instructions": "I need to see the package.json file to analyze npm dependencies",
                 "files_needed": ["package.json", "package-lock.json"],
-            }
+            },
+            ensure_ascii=False
         )
 
         mock_provider = create_mock_provider()
@@ -405,7 +408,8 @@ class TestCollaborationWorkflow:
                 "status": "files_required_to_continue",
                 "mandatory_instructions": "I need to see the configuration file to understand the connection settings",
                 "files_needed": ["config.py"],
-            }
+            },
+            ensure_ascii=False
         )
 
         mock_provider = create_mock_provider()

tests/test_integration_utf8.py

@@ -0,0 +1,477 @@
+"""
+Full integration test script to validate UTF-8 implementation
+and French localization.
+
+This script runs all unit tests and checks full integration.
+"""
+
+import json
+import os
+import subprocess
+import sys
+import tempfile
+from pathlib import Path
+
+
+def run_utf8_integration_tests():
+    """Run UTF-8 integration tests."""
+    print("🚀 Starting UTF-8 integration tests")
+    print("=" * 60)
+
+    # Test environment setup
+    os.environ["LOCALE"] = "fr-FR"
+    os.environ["GEMINI_API_KEY"] = "dummy-key-for-tests"
+    os.environ["OPENAI_API_KEY"] = "dummy-key-for-tests"
+
+    # Test 1: Validate UTF-8 characters in json.dumps
+    print("\n1️⃣ UTF-8 encoding test with json.dumps")
+    test_utf8_json_encoding()
+
+    # Test 2: Validate language instruction generation
+    print("\n2️⃣ Language instruction generation test")
+    test_language_instruction_generation()
+
+    # Test 3: Validate UTF-8 file handling
+    print("\n3️⃣ UTF-8 file handling test")
+    test_file_utf8_handling()
+
+    # Test 4: Validate MCP tools integration
+    print("\n4️⃣ MCP tools integration test")
+    test_mcp_tools_integration()
+
+    # Test 5: Run unit tests
+    print("\n5️⃣ Running unit tests")
+    run_unit_tests()
+
+    print("\n✅ All UTF-8 integration tests completed!")
+    print("🇫🇷 French localization works correctly!")
+
+
+def test_utf8_json_encoding():
+    """Test UTF-8 encoding with json.dumps(ensure_ascii=False)."""
+    print("   Testing UTF-8 JSON encoding...")
+
+    # Test data with French characters and emojis
+    test_data = {
+        "analyse": {
+            "statut": "terminée",
+            "résultat": "Aucun problème critique détecté",
+            "recommandations": [
+                "Améliorer la documentation",
+                "Optimiser les performances",
+                "Ajouter des tests unitaires",
+            ],
+            "métadonnées": {
+                "créé_par": "Développeur Principal",
+                "date_création": "2024-01-01",
+                "dernière_modification": "2024-01-15",
+            },
+            "émojis_status": {
+                "critique": "🔴",
+                "élevé": "🟠",
+                "moyen": "🟡",
+                "faible": "🟢",
+                "succès": "✅",
+                "erreur": "❌",
+            },
+        },
+        "outils": [
+            {"nom": "analyse", "description": "Analyse architecturale avancée"},
+            {"nom": "révision", "description": "Révision de code automatisée"},
+            {"nom": "génération", "description": "Génération de documentation"},
+        ],
+    }
+
+    # Test with ensure_ascii=False
+    json_correct = json.dumps(test_data, ensure_ascii=False, indent=2)
+
+    # Checks
+    utf8_terms = [
+        "terminée",
+        "résultat",
+        "détecté",
+        "Améliorer",
+        "créé_par",
+        "Développeur",
+        "création",
+        "métadonnées",
+        "dernière",
+        "émojis_status",
+        "élevé",
+        "révision",
+        "génération",
+    ]
+
+    emojis = ["🔴", "🟠", "🟡", "🟢", "✅", "❌"]
+
+    for term in utf8_terms:
+        assert term in json_correct, f"Missing UTF-8 term: {term}"
+
+    for emoji in emojis:
+        assert emoji in json_correct, f"Missing emoji: {emoji}"
+
+    # Check for escaped characters
+    assert "\\u" not in json_correct, "Escaped Unicode characters detected!"
+
+    # Test parsing
+    parsed = json.loads(json_correct)
+    assert parsed["analyse"]["statut"] == "terminée"
+    assert parsed["analyse"]["émojis_status"]["critique"] == "🔴"
+
+    print("   ✅ UTF-8 JSON encoding: SUCCESS")
+
+
+def test_language_instruction_generation():
+    """Test language instruction generation."""
+    print("   Testing language instruction generation...")
+
+    # Simulation of get_language_instruction
+    def get_language_instruction():
+        locale = os.getenv("LOCALE", "").strip()
+        if not locale:
+            return ""
+        return f"Always respond in {locale}.\n\n"
+
+    # Test with different locales
+    test_locales = [
+        ("fr-FR", "French"),
+        ("en-US", "English"),
+        ("es-ES", "Spanish"),
+        ("de-DE", "German"),
+        ("", "none"),
+    ]
+
+    for locale, description in test_locales:
+        os.environ["LOCALE"] = locale
+        instruction = get_language_instruction()
+
+        if locale:
+            assert locale in instruction, f"Missing {locale} in instruction"
+            assert instruction.endswith("\n\n"), "Incorrect instruction format"
+            print(f"     📍 {description}: {instruction.strip()}")
+        else:
+            assert instruction == "", "Empty instruction expected for empty locale"
+            print(f"     📍 {description}: (empty)")
+
+    # Restore French locale
+    os.environ["LOCALE"] = "fr-FR"
+    print("   ✅ Language instruction generation: SUCCESS")
+
+
+def test_file_utf8_handling():
+    """Test handling of files with UTF-8 content."""
+    print("   Testing UTF-8 file handling...")
+
+    # File content with French characters
+    french_content = '''#!/usr/bin/env python3
+"""
+Module de gestion des préférences utilisateur.
+Développé par: Équipe Technique
+Date de création: 15 décembre 2024
+"""
+
+import json
+from typing import Dict, Optional
+
+class GestionnairePreferences:
+    """Gestionnaire des préférences utilisateur avec support UTF-8."""
+    
+    def __init__(self):
+        self.données = {}
+        self.historique = []
+    
+    def définir_préférence(self, clé: str, valeur) -> bool:
+        """
+        Définit une préférence utilisateur.
+        
+        Args:
+            clé: Identifiant de la préférence
+            valeur: Valeur à enregistrer
+            
+        Returns:
+            True si la préférence a été définie avec succès
+        """
+        try:
+            self.données[clé] = valeur
+            self.historique.append({
+                "action": "définition",
+                "clé": clé,
+                "horodatage": "2024-01-01T12:00:00Z"
+            })
+            return True
+        except Exception as e:
+            print(f"Error setting preference: {e}")
+            return False
+    
+    def obtenir_préférence(self, clé: str) -> Optional:
+        """Récupère une préférence par sa clé."""
+        return self.données.get(clé)
+    
+    def exporter_données(self) -> str:
+        """Exporte les données en JSON UTF-8."""
+        return json.dumps(self.données, ensure_ascii=False, indent=2)
+
+# Configuration par défaut avec caractères UTF-8
+CONFIG_DÉFAUT = {
+    "langue": "français", 
+    "région": "France",
+    "thème": "sombre",
+    "notifications": "activées"
+}
+
+def créer_gestionnaire() -> GestionnairePreferences:
+    """Crée une instance du gestionnaire."""
+    gestionnaire = GestionnairePreferences()
+    
+    # Application de la configuration par défaut
+    for clé, valeur in CONFIG_DÉFAUT.items():
+        gestionnaire.définir_préférence(clé, valeur)
+    
+    return gestionnaire
+
+if __name__ == "__main__":
+    # Test d'utilisation
+    gestionnaire = créer_gestionnaire()
+    print("Gestionnaire créé avec succès! 🎉")
+    print(f"Données: {gestionnaire.exporter_données()}")
+'''
+
+    # Test writing and reading UTF-8
+    with tempfile.NamedTemporaryFile(mode="w", encoding="utf-8", suffix=".py", delete=False) as f:
+        f.write(french_content)
+        temp_file = f.name
+
+    try:
+        # Test reading
+        with open(temp_file, "r", encoding="utf-8") as f:
+            read_content = f.read()
+
+        # Checks
+        assert read_content == french_content, "Altered UTF-8 content"
+
+        # Check specific terms
+        utf8_terms = [
+            "préférences",
+            "Développé",
+            "Équipe",
+            "création",
+            "données",
+            "définir_préférence",
+            "horodatage",
+            "Récupère",
+            "français",
+            "activées",
+            "créer_gestionnaire",
+            "succès",
+        ]
+
+        for term in utf8_terms:
+            assert term in read_content, f"Missing UTF-8 term: {term}"
+
+        print("   ✅ UTF-8 file handling: SUCCESS")
+
+    finally:
+        # Cleanup
+        os.unlink(temp_file)
+
+
+def test_mcp_tools_integration():
+    """Test MCP tools integration with UTF-8."""
+    print("   Testing MCP tools integration...")
+
+    # Simulation of MCP tool response
+    def simulate_mcp_tool_response():
+        """Simulate MCP tool response with UTF-8 content."""
+        response_data = {
+            "status": "success",
+            "content_type": "markdown",
+            "content": """# Analysis Completed Successfully ✅
+
+## Analysis Summary
+
+The architectural analysis of the project has been **successfully** completed. Here are the main results:
+
+### 🎯 Achieved Goals
+- ✅ Complete code review
+- ✅ Identification of performance issues  
+- ✅ Improvement recommendations generated
+
+### 📊 Analyzed Metrics
+| Metric | Value | Status |
+|--------|-------|--------|
+| Cyclomatic complexity | 12 | 🟡 Acceptable |
+| Test coverage | 85% | 🟢 Good |
+| External dependencies | 23 | 🟠 To be reviewed |
+
+### 🔍 Identified Issues
+
+#### 🔴 Critical
+No critical issues detected.
+
+#### 🟠 High
+1. **Query performance**: Optimization needed
+2. **Memory management**: Potential leaks detected
+
+#### 🟡 Medium  
+1. **Documentation**: Some functions lack comments
+2. **Unit tests**: Coverage to be improved
+
+### 🚀 Priority Recommendations
+
+1. **DB Optimization**: Implement Redis cache
+2. **Refactoring**: Separate responsibilities 
+3. **Documentation**: Add missing docstrings
+4. **Tests**: Increase coverage to 90%+
+
+### 📈 Next Steps
+
+- [ ] Implement caching system
+- [ ] Refactor identified modules
+- [ ] Complete documentation
+- [ ] Run regression tests
+
+---
+*Analysis automatically generated by MCP Zen* 🤖
+""",
+            "metadata": {
+                "tool_name": "analyze",
+                "execution_time": 2.5,
+                "locale": "fr-FR",
+                "timestamp": "2024-01-01T12:00:00Z",
+                "analysis_summary": {
+                    "files_analyzed": 15,
+                    "issues_found": 4,
+                    "recommendations": 4,
+                    "overall_score": "B+ (Good level)",
+                },
+            },
+            "continuation_offer": {
+                "continuation_id": "analysis-123",
+                "note": "In-depth analysis available with more details",
+            },
+        }
+
+        # Serialization with ensure_ascii=False
+        json_response = json.dumps(response_data, ensure_ascii=False, indent=2)
+
+        # UTF-8 checks
+        utf8_checks = [
+            "Terminée",
+            "Succès",
+            "Résumé",
+            "terminée",
+            "Atteints",
+            "Révision",
+            "problèmes",
+            "générées",
+            "Métriques",
+            "Identifiés",
+            "détecté",
+            "Élevé",
+            "nécessaire",
+            "détectées",
+            "améliorer",
+            "Prioritaires",
+            "responsabilités",
+            "Étapes",
+            "régression",
+            "générée",
+            "détails",
+        ]
+
+        for term in utf8_checks:
+            assert term in json_response, f"Missing UTF-8 term: {term}"
+
+        # Emoji check
+        emojis = ["✅", "🎯", "📊", "🟡", "🟢", "🟠", "🔍", "🔴", "🚀", "📈", "🤖"]
+        for emoji in emojis:
+            assert emoji in json_response, f"Missing emoji: {emoji}"
+
+        # Test parsing
+        parsed = json.loads(json_response)
+        assert parsed["status"] == "success"
+        assert "Terminée" in parsed["content"]
+        assert parsed["metadata"]["locale"] == "fr-FR"
+
+        return json_response
+
+    # Test simulation
+    response = simulate_mcp_tool_response()
+    assert len(response) > 1000, "MCP response too short"
+
+    print("   ✅ MCP tools integration: SUCCESS")
+
+
+def run_unit_tests():
+    """Run unit tests."""
+    print("   Running unit tests...")
+
+    # List of test files to run
+    test_files = ["test_utf8_localization.py", "test_provider_utf8.py", "test_workflow_utf8.py"]
+
+    current_dir = Path(__file__).parent
+    test_results = []
+
+    for test_file in test_files:
+        test_path = current_dir / test_file
+        if test_path.exists():
+            print(f"     📝 Running {test_file}...")
+            try:
+                # Test execution
+                result = subprocess.run(
+                    [sys.executable, "-m", "unittest", test_file.replace(".py", ""), "-v"],
+                    cwd=current_dir,
+                    capture_output=True,
+                    text=True,
+                    timeout=60,
+                )
+
+                if result.returncode == 0:
+                    print(f"     ✅ {test_file}: SUCCESS")
+                    test_results.append((test_file, "SUCCESS"))
+                else:
+                    print(f"     ❌ {test_file}: FAILURE")
+                    print(f"        Error: {result.stderr[:200]}...")
+                    test_results.append((test_file, "FAILURE"))
+
+            except subprocess.TimeoutExpired:
+                print(f"     ⏰ {test_file}: TIMEOUT")
+                test_results.append((test_file, "TIMEOUT"))
+            except Exception as e:
+                print(f"     💥 {test_file}: ERROR - {e}")
+                test_results.append((test_file, "ERROR"))
+        else:
+            print(f"     ⚠️ {test_file}: NOT FOUND")
+            test_results.append((test_file, "NOT FOUND"))
+
+    # Test summary
+    print("\n   📋 Unit test summary:")
+    for test_file, status in test_results:
+        status_emoji = {"SUCCESS": "✅", "FAILURE": "❌", "TIMEOUT": "⏰", "ERROR": "💥", "NOT FOUND": "⚠️"}.get(
+            status, "❓"
+        )
+        print(f"     {status_emoji} {test_file}: {status}")
+
+
+def main():
+    """Main function."""
+    print("🇫🇷 UTF-8 Integration Test - Zen MCP Server")
+    print("=" * 60)
+
+    try:
+        run_utf8_integration_tests()
+        print("\n🎉 SUCCESS: All UTF-8 integration tests passed!")
+        print("🚀 Zen MCP server fully supports French localization!")
+        return 0
+
+    except AssertionError as e:
+        print(f"\n❌ FAILURE: Assertion test failed: {e}")
+        return 1
+
+    except Exception as e:
+        print(f"\n💥 ERROR: Unexpected exception: {e}")
+        return 1
+
+
+if __name__ == "__main__":
+    sys.exit(main())

tests/test_provider_utf8.py

@@ -0,0 +1,352 @@
+"""
+Unit tests to validate UTF-8 encoding in providers
+and integration with language models.
+"""
+
+import json
+import os
+import unittest
+from unittest.mock import Mock, patch
+
+import pytest
+
+from providers.base import ModelProvider, ProviderType
+from providers.gemini import GeminiModelProvider
+from providers.openai_compatible import OpenAICompatibleProvider
+from providers.openai_provider import OpenAIModelProvider
+
+
+class TestProviderUTF8Encoding(unittest.TestCase):
+    """Tests for UTF-8 encoding in providers."""
+
+    def setUp(self):
+        """Test setup."""
+        self.original_locale = os.getenv("LOCALE")
+
+    def tearDown(self):
+        """Cleanup after tests."""
+        if self.original_locale is not None:
+            os.environ["LOCALE"] = self.original_locale
+        else:
+            os.environ.pop("LOCALE", None)
+
+    def test_base_provider_utf8_support(self):
+        """Test that the base provider supports UTF-8."""
+        provider = ModelProvider(api_key="test")
+
+        # Test with UTF-8 characters
+        test_text = "Développement en français avec émojis 🚀"
+        tokens = provider.count_tokens(test_text, "test-model")
+
+        # Should return a valid number (character-based estimate)
+        self.assertIsInstance(tokens, int)
+        self.assertGreater(tokens, 0)
+
+    @patch("google.generativeai.GenerativeModel")
+    def test_gemini_provider_utf8_request(self, mock_model_class):
+        """Test that the Gemini provider handles UTF-8 correctly."""
+        # Mock Gemini response
+        mock_response = Mock()
+        mock_response.text = "Response in French with accents: créé, développé, préféré 🎉"
+        mock_response.usage_metadata = Mock()
+        mock_response.usage_metadata.prompt_token_count = 10
+        mock_response.usage_metadata.candidates_token_count = 15
+        mock_response.usage_metadata.total_token_count = 25
+
+        mock_model = Mock()
+        mock_model.generate_content.return_value = mock_response
+        mock_model_class.return_value = mock_model
+
+        # Test Gemini provider
+        provider = GeminiModelProvider(api_key="test-key")
+
+        # Request with UTF-8 characters
+        response = provider.generate_content(
+            prompt="Can you explain software development?",
+            model_name="gemini-2.5-flash",
+            system_prompt="Reply in French with emojis.",
+        )
+
+        # Checks
+        self.assertIsNotNone(response)
+        self.assertIn("French", response.content)
+        self.assertIn("🎉", response.content)
+
+        # Check that the request contains UTF-8 characters
+        mock_model.generate_content.assert_called_once()
+        call_args = mock_model.generate_content.call_args
+        parts = call_args[0][0]  # First argument (parts)
+
+        # Check for UTF-8 content in the request
+        request_content = str(parts)
+        self.assertIn("développement", request_content)
+
+    @patch("openai.OpenAI")
+    def test_openai_provider_utf8_logging(self, mock_openai_class):
+        """Test that the OpenAI provider logs UTF-8 correctly."""
+        # Mock OpenAI response
+        mock_response = Mock()
+        mock_response.choices = [Mock()]
+        mock_response.choices[0].message = Mock()
+        mock_response.choices[0].message.content = "Python code created successfully! ✅"
+        mock_response.usage = Mock()
+        mock_response.usage.prompt_tokens = 20
+        mock_response.usage.completion_tokens = 10
+        mock_response.usage.total_tokens = 30
+
+        mock_client = Mock()
+        mock_client.chat.completions.create.return_value = mock_response
+        mock_openai_class.return_value = mock_client
+
+        # Test OpenAI provider
+        provider = OpenAIModelProvider(api_key="test-key")
+
+        # Test with UTF-8 logging
+        with patch("logging.info") as mock_logging:
+            response = provider.generate_content(
+                prompt="Generate Python code to process data",
+                model_name="gpt-4",
+                system_prompt="You are an expert Python developer.",
+            )
+
+            # Response checks
+            self.assertIsNotNone(response)
+            self.assertIn("created", response.content)
+            self.assertIn("✅", response.content)
+
+    @patch("openai.OpenAI")
+    def test_openai_compatible_o3_pro_utf8(self, mock_openai_class):
+        """Specific test for o3-pro with /responses endpoint and UTF-8."""
+        # Mock o3-pro response
+        mock_response = Mock()
+        mock_response.output = Mock()
+        mock_response.output.content = [Mock()]
+        mock_response.output.content[0].type = "output_text"
+        mock_response.output.content[0].text = "Analysis complete: code is well structured! 🎯"
+        mock_response.usage = Mock()
+        mock_response.usage.input_tokens = 50
+        mock_response.usage.output_tokens = 25
+        mock_response.model = "o3-pro-2025-06-10"
+        mock_response.id = "test-id"
+        mock_response.created_at = 1234567890
+
+        mock_client = Mock()
+        mock_client.responses.create.return_value = mock_response
+        mock_openai_class.return_value = mock_client
+
+        # Test OpenAI Compatible provider with o3-pro
+        provider = OpenAICompatibleProvider(api_key="test-key", base_url="https://api.openai.com/v1")
+
+        # Test with UTF-8 logging for o3-pro
+        with patch("logging.info") as mock_logging:
+            response = provider.generate_content(
+                prompt="Analyze this Python code for issues",
+                model_name="o3-pro-2025-06-10",
+                system_prompt="You are a code review expert.",
+            )
+
+            # Response checks
+            self.assertIsNotNone(response)
+            self.assertIn("complete", response.content)
+            self.assertIn("🎯", response.content)
+
+            # Check that logging was called with ensure_ascii=False
+            mock_logging.assert_called()
+            log_calls = [call for call in mock_logging.call_args_list if "API request payload" in str(call)]
+            self.assertTrue(len(log_calls) > 0, "No API payload log found")
+
+    def test_provider_type_enum_utf8_safe(self):
+        """Test that ProviderType enum is UTF-8 safe."""
+        # Test all provider types
+        provider_types = list(ProviderType)
+
+        for provider_type in provider_types:
+            # Test JSON serialization
+            data = {"provider": provider_type.value, "message": "UTF-8 test: emojis 🚀"}
+            json_str = json.dumps(data, ensure_ascii=False)
+
+            # Checks
+            self.assertIn(provider_type.value, json_str)
+            self.assertIn("emojis", json_str)
+            self.assertIn("🚀", json_str)
+
+            # Test deserialization
+            parsed = json.loads(json_str)
+            self.assertEqual(parsed["provider"], provider_type.value)
+            self.assertEqual(parsed["message"], "UTF-8 test: emojis 🚀")
+
+    def test_model_response_utf8_serialization(self):
+        """Test UTF-8 serialization of model responses."""
+        from providers.base import ModelResponse
+
+        # Create a response with UTF-8 characters
+        response = ModelResponse(
+            content="Development successful! Code generated successfully. 🎉✅",
+            usage={"input_tokens": 10, "output_tokens": 15, "total_tokens": 25},
+            model_name="test-model",
+            friendly_name="Test Model",
+            provider=ProviderType.OPENAI,
+            metadata={"created": "2024-01-01", "developer": "Test", "emojis": "🚀🎯🔥"},
+        )
+
+        # Test serialization
+        response_dict = response.to_dict()
+        json_str = json.dumps(response_dict, ensure_ascii=False, indent=2)
+
+        # Checks
+        self.assertIn("Development", json_str)
+        self.assertIn("successful", json_str)
+        self.assertIn("generated", json_str)
+        self.assertIn("🎉", json_str)
+        self.assertIn("✅", json_str)
+        self.assertIn("created", json_str)
+        self.assertIn("developer", json_str)
+        self.assertIn("🚀", json_str)
+
+        # Test deserialization
+        parsed = json.loads(json_str)
+        self.assertEqual(parsed["content"], response.content)
+        self.assertEqual(parsed["friendly_name"], "Test Model")
+
+    def test_error_handling_with_utf8(self):
+        """Test error handling with UTF-8 characters."""
+        provider = ModelProvider(api_key="test")
+
+        # Test validation with UTF-8 error message
+        with self.assertRaises(ValueError) as context:
+            provider.validate_parameters("", -1.0)  # Invalid temperature
+
+        error_message = str(context.exception)
+        # Error message may contain UTF-8 characters
+        self.assertIsInstance(error_message, str)
+
+    def test_temperature_handling_utf8_locale(self):
+        """Test temperature handling with UTF-8 locale."""
+        # Set French locale
+        os.environ["LOCALE"] = "fr-FR"
+
+        provider = ModelProvider(api_key="test")
+
+        # Test different temperatures
+        test_temps = [0.0, 0.5, 1.0, 1.5, 2.0]
+
+        for temp in test_temps:
+            try:
+                provider.validate_parameters("gpt-4", temp)
+                # If no exception, temperature is valid
+                self.assertLessEqual(temp, 2.0)
+            except ValueError:
+                # If exception, temperature must be > 2.0
+                self.assertGreater(temp, 2.0)
+
+    def test_provider_registry_utf8(self):
+        """Test that the provider registry handles UTF-8."""
+        from providers.registry import ModelProviderRegistry
+
+        # Test listing providers with UTF-8 descriptions
+        providers = ModelProviderRegistry.get_available_providers()
+
+        # Should contain valid providers
+        self.assertGreater(len(providers), 0)
+
+        # Test serialization
+        provider_data = {
+            "providers": [p.value for p in providers],
+            "description": "Available providers for development 🚀",
+        }
+
+        json_str = json.dumps(provider_data, ensure_ascii=False)
+
+        # Checks
+        self.assertIn("development", json_str)
+        self.assertIn("🚀", json_str)
+
+        # Test parsing
+        parsed = json.loads(json_str)
+        self.assertEqual(parsed["description"], provider_data["description"])
+
+
+class TestLocaleModelIntegration(unittest.TestCase):
+    """Integration tests between locale and models."""
+
+    def setUp(self):
+        """Integration test setup."""
+        self.original_locale = os.getenv("LOCALE")
+
+    def tearDown(self):
+        """Cleanup after integration tests."""
+        if self.original_locale is not None:
+            os.environ["LOCALE"] = self.original_locale
+        else:
+            os.environ.pop("LOCALE", None)
+
+    def test_system_prompt_enhancement_french(self):
+        """Test system prompt enhancement with French locale."""
+        # Set to French
+        os.environ["LOCALE"] = "fr-FR"
+
+        provider = ModelProvider(api_key="test")
+        base_prompt = "You are a helpful coding assistant."
+
+        # Test prompt enhancement
+        enhanced_prompt = provider.enhance_system_prompt(base_prompt)
+
+        # Checks
+        self.assertIn("fr-FR", enhanced_prompt)
+        self.assertIn(base_prompt, enhanced_prompt)
+
+    def test_system_prompt_enhancement_multiple_locales(self):
+        """Test enhancement with different locales."""
+        provider = ModelProvider(api_key="test")
+        base_prompt = "You are a helpful assistant."
+
+        locales = ["fr-FR", "es-ES", "de-DE", "it-IT", "pt-BR", "ja-JP", "zh-CN"]
+
+        for locale in locales:
+            os.environ["LOCALE"] = locale
+            enhanced_prompt = provider.enhance_system_prompt(base_prompt)
+
+            # Locale-specific checks
+            self.assertIn(locale, enhanced_prompt)
+            self.assertIn(base_prompt, enhanced_prompt)
+
+            # Test JSON serialization
+            prompt_data = {"system_prompt": enhanced_prompt, "locale": locale}
+            json_str = json.dumps(prompt_data, ensure_ascii=False)
+
+            # Should parse without error
+            parsed = json.loads(json_str)
+            self.assertEqual(parsed["locale"], locale)
+
+    def test_model_name_resolution_utf8(self):
+        """Test model name resolution with UTF-8."""
+        provider = ModelProvider(api_key="test")
+
+        # Test with different model names
+        model_names = ["gpt-4", "gemini-2.5-flash", "claude-3-opus", "o3-pro-2025-06-10"]
+
+        for model_name in model_names:
+            # Test resolution
+            resolved = provider._resolve_model_name(model_name)
+            self.assertIsInstance(resolved, str)
+
+            # Test serialization with UTF-8 metadata
+            model_data = {
+                "model": resolved,
+                "description": f"Model {model_name} - advanced development 🚀",
+                "capabilities": ["generation", "review", "creation"],
+            }
+
+            json_str = json.dumps(model_data, ensure_ascii=False)
+
+            # Checks
+            self.assertIn("development", json_str)
+            self.assertIn("generation", json_str)
+            self.assertIn("review", json_str)
+            self.assertIn("creation", json_str)
+            self.assertIn("🚀", json_str)
+
+
+if __name__ == "__main__":
+    # Test configuration
+    pytest.main([__file__, "-v", "--tb=short"])

tests/test_refactor.py

@@ -46,7 +46,8 @@ class TestRefactorTool:
                         ],
                         "priority_sequence": ["refactor-001"],
                         "next_actions_for_claude": [],
-                    }
+                    },
+                    ensure_ascii=False
                 )
 
             from unittest.mock import Mock

tests/test_utf8_localization.py

@@ -0,0 +1,427 @@
+"""
+Unit tests to validate UTF-8 localization and encoding
+of French characters.
+
+These tests check:
+1. Language instruction generation according to LOCALE
+2. UTF-8 encoding with json.dumps(ensure_ascii=False)
+3. French characters and emojis are displayed correctly
+4. MCP tools return localized content
+"""
+
+import json
+import os
+import tempfile
+import unittest
+from unittest.mock import Mock, patch
+
+import pytest
+
+from tools.chat import ChatTool
+from tools.codereview import CodereviewTool
+from tools.shared.base_tool import BaseTool
+
+
+class TestUTF8Localization(unittest.TestCase):
+    """Tests for UTF-8 localization and French character encoding."""
+
+    def setUp(self):
+        """Test setup."""
+        self.original_locale = os.getenv("LOCALE")
+
+    def tearDown(self):
+        """Cleanup after tests."""
+        if self.original_locale is not None:
+            os.environ["LOCALE"] = self.original_locale
+        else:
+            os.environ.pop("LOCALE", None)
+
+    def test_language_instruction_generation_french(self):
+        """Test language instruction generation for French."""
+        # Set LOCALE to French
+        os.environ["LOCALE"] = "fr-FR"
+
+        # Test get_language_instruction method
+        tool = BaseTool(api_key="test")
+        instruction = tool.get_language_instruction()
+
+        # Checks
+        self.assertIsInstance(instruction, str)
+        self.assertIn("fr-FR", instruction)
+        self.assertTrue(instruction.endswith("\n\n"))
+
+    def test_language_instruction_generation_english(self):
+        """Test language instruction generation for English."""
+        # Set LOCALE to English
+        os.environ["LOCALE"] = "en-US"
+
+        tool = BaseTool(api_key="test")
+        instruction = tool.get_language_instruction()
+
+        # Checks
+        self.assertIsInstance(instruction, str)
+        self.assertIn("en-US", instruction)
+        self.assertTrue(instruction.endswith("\n\n"))
+
+    def test_language_instruction_empty_locale(self):
+        """Test with empty LOCALE."""
+        # Set LOCALE to empty
+        os.environ["LOCALE"] = ""
+
+        tool = BaseTool(api_key="test")
+        instruction = tool.get_language_instruction()
+
+        # Should return empty string
+        self.assertEqual(instruction, "")
+
+    def test_language_instruction_no_locale(self):
+        """Test with no LOCALE variable set."""
+        # Remove LOCALE
+        os.environ.pop("LOCALE", None)
+
+        tool = BaseTool(api_key="test")
+        instruction = tool.get_language_instruction()
+
+        # Should return empty string
+        self.assertEqual(instruction, "")
+
+    def test_json_dumps_utf8_encoding(self):
+        """Test that json.dumps uses ensure_ascii=False for UTF-8."""
+        # Test data with French characters and emojis
+        test_data = {
+            "status": "succès",
+            "message": "Tâche terminée avec succès",
+            "details": {
+                "créé": "2024-01-01",
+                "développeur": "Jean Dupont",
+                "préférences": ["français", "développement"],
+                "emojis": "🔴 🟠 🟡 🟢 ✅ ❌",
+            },
+        }
+
+        # Test with ensure_ascii=False (correct)
+        json_correct = json.dumps(test_data, ensure_ascii=False, indent=2)
+
+        # Check that UTF-8 characters are preserved
+        self.assertIn("succès", json_correct)
+        self.assertIn("terminée", json_correct)
+        self.assertIn("créé", json_correct)
+        self.assertIn("développeur", json_correct)
+        self.assertIn("préférences", json_correct)
+        self.assertIn("français", json_correct)
+        self.assertIn("développement", json_correct)
+        self.assertIn("🔴", json_correct)
+        self.assertIn("🟢", json_correct)
+        self.assertIn("✅", json_correct)
+
+        # Check that characters are NOT escaped
+        self.assertNotIn("\\u", json_correct)
+        self.assertNotIn("\\ud83d", json_correct)
+
+    def test_json_dumps_ascii_encoding_comparison(self):
+        """Test comparison between ensure_ascii=True and False."""
+        test_data = {"message": "Développement réussi! 🎉"}
+
+        # With ensure_ascii=True (old, incorrect behavior)
+        json_escaped = json.dumps(test_data, ensure_ascii=True)
+
+        # With ensure_ascii=False (new, correct behavior)
+        json_utf8 = json.dumps(test_data, ensure_ascii=False)
+
+        # Checks
+        self.assertIn("\\u", json_escaped)  # Characters are escaped
+        self.assertNotIn("é", json_escaped)  # UTF-8 characters are escaped
+
+        self.assertNotIn("\\u", json_utf8)  # No escaped characters
+        self.assertIn("é", json_utf8)  # UTF-8 characters preserved
+        self.assertIn("🎉", json_utf8)  # Emojis preserved
+
+    @patch("tools.shared.base_tool.BaseTool.get_model_provider")
+    def test_chat_tool_french_response(self, mock_get_provider):
+        """Test that the chat tool returns a response in French."""
+        # Set to French
+        os.environ["LOCALE"] = "fr-FR"
+
+        # Mock provider
+        mock_provider = Mock()
+        mock_provider.get_provider_type.return_value = Mock(value="test")
+        mock_provider.generate_content.return_value = Mock(
+            content="Bonjour! Je peux vous aider avec vos tâches de développement.",
+            usage={},
+            model_name="test-model",
+            metadata={},
+        )
+        mock_get_provider.return_value = mock_provider
+
+        # Test chat tool
+        chat_tool = ChatTool()
+        result = chat_tool.execute({"prompt": "Peux-tu m'aider?", "model": "test-model"})
+
+        # Checks
+        self.assertIsNotNone(result)
+        self.assertEqual(len(result), 1)
+
+        # Parse JSON response
+        response_data = json.loads(result[0].text)
+
+        # Check that response contains French content
+        self.assertIn("status", response_data)
+        self.assertIn("content", response_data)
+
+        # Check that language instruction was added
+        mock_provider.generate_content.assert_called_once()
+        call_args = mock_provider.generate_content.call_args
+        system_prompt = call_args.kwargs.get("system_prompt", "")
+        self.assertIn("fr-FR", system_prompt)
+
+    def test_french_characters_in_file_content(self):
+        """Test reading and writing files with French characters."""
+        # Test content with French characters
+        test_content = """
+# System configuration
+# Created by: Lead Developer
+# Creation date: December 15, 2024
+
+def process_data(preferences, parameters):
+    '''
+    Processes data according to user preferences.
+    
+    Args:
+        preferences: User preferences dictionary
+        parameters: Configuration parameters
+        
+    Returns:
+        Processing result
+    '''
+    return "Processing completed successfully! ✅"
+
+# Helper functions
+def generate_report():
+    '''Generates a summary report.'''
+    return {
+        "status": "success",
+        "data": "Report generated",
+        "emojis": "📊 📈 📉"
+    }
+"""
+
+        # Test writing and reading
+        with tempfile.NamedTemporaryFile(mode="w+", encoding="utf-8", delete=False) as f:
+            f.write(test_content)
+            temp_file = f.name
+
+        try:
+            # Read file
+            with open(temp_file, "r", encoding="utf-8") as f:
+                read_content = f.read()
+
+            # Checks
+            self.assertEqual(read_content, test_content)
+            self.assertIn("Lead Developer", read_content)
+            self.assertIn("Creation", read_content)
+            self.assertIn("data", read_content)
+            self.assertIn("preferences", read_content)
+            self.assertIn("parameters", read_content)
+            self.assertIn("completed", read_content)
+            self.assertIn("successfully", read_content)
+            self.assertIn("✅", read_content)
+            self.assertIn("success", read_content)
+            self.assertIn("generated", read_content)
+            self.assertIn("📊", read_content)
+
+        finally:
+            # Cleanup
+            os.unlink(temp_file)
+
+    def test_system_prompt_integration_french(self):
+        """Test integration of language instruction in system prompts."""
+        # Set to French
+        os.environ["LOCALE"] = "fr-FR"
+
+        tool = BaseTool(api_key="test")
+        base_prompt = "You are a helpful assistant."
+
+        # Test adding language instruction
+        enhanced_prompt = tool.add_language_instruction(base_prompt)
+
+        # Checks
+        self.assertIn("fr-FR", enhanced_prompt)
+        self.assertIn(base_prompt, enhanced_prompt)
+        self.assertTrue(enhanced_prompt.startswith("Always respond in fr-FR"))
+
+    def test_system_prompt_integration_no_locale(self):
+        """Test integration with no LOCALE set."""
+        # No LOCALE
+        os.environ.pop("LOCALE", None)
+
+        tool = BaseTool(api_key="test")
+        base_prompt = "You are a helpful assistant."
+
+        # Test adding language instruction
+        enhanced_prompt = tool.add_language_instruction(base_prompt)
+
+        # Should return original prompt unchanged
+        self.assertEqual(enhanced_prompt, base_prompt)
+
+    def test_unicode_normalization(self):
+        """Test Unicode normalization for accented characters."""
+        # Test with different Unicode encodings
+        test_cases = [
+            "café",  # e + acute accent combined
+            "café",  # e with precomposed acute accent
+            "naïf",  # i + diaeresis
+            "coeur",  # oe ligature
+            "été",  # e + acute accent
+        ]
+
+        for text in test_cases:
+            # Test that json.dumps preserves characters
+            json_output = json.dumps({"text": text}, ensure_ascii=False)
+            self.assertIn(text, json_output)
+
+            # Parse and check
+            parsed = json.loads(json_output)
+            self.assertEqual(parsed["text"], text)
+
+    def test_emoji_preservation(self):
+        """Test emoji preservation in JSON encoding."""
+        # Emojis used in Zen MCP tools
+        emojis = [
+            "🔴",  # Critical
+            "🟠",  # High
+            "🟡",  # Medium
+            "🟢",  # Low
+            "✅",  # Success
+            "❌",  # Error
+            "⚠️",  # Warning
+            "📊",  # Charts
+            "🎉",  # Celebration
+            "🚀",  # Rocket
+            "🇫🇷",  # French flag
+        ]
+
+        test_data = {"emojis": emojis, "message": " ".join(emojis)}
+
+        # Test with ensure_ascii=False
+        json_output = json.dumps(test_data, ensure_ascii=False)
+
+        # Checks
+        for emoji in emojis:
+            self.assertIn(emoji, json_output)
+
+        # No escaped characters
+        self.assertNotIn("\\u", json_output)
+
+        # Test parsing
+        parsed = json.loads(json_output)
+        self.assertEqual(parsed["emojis"], emojis)
+        self.assertEqual(parsed["message"], " ".join(emojis))
+
+
+class TestLocalizationIntegration(unittest.TestCase):
+    """Integration tests for localization with real tools."""
+
+    def setUp(self):
+        """Integration test setup."""
+        self.original_locale = os.getenv("LOCALE")
+
+    def tearDown(self):
+        """Cleanup after integration tests."""
+        if self.original_locale is not None:
+            os.environ["LOCALE"] = self.original_locale
+        else:
+            os.environ.pop("LOCALE", None)
+
+    @patch("tools.shared.base_tool.BaseTool.get_model_provider")
+    def test_codereview_tool_french_locale(self, mock_get_provider):
+        """Test that the codereview tool uses French localization."""
+        # Set to French
+        os.environ["LOCALE"] = "fr-FR"
+
+        # Mock provider with French response
+        mock_provider = Mock()
+        mock_provider.get_provider_type.return_value = Mock(value="test")
+        mock_provider.generate_content.return_value = Mock(
+            content=json.dumps(
+                {"status": "analysis_complete", "raw_analysis": "Code review completed. No critical issues found. 🟢"},
+                ensure_ascii=False,
+            ),
+            usage={},
+            model_name="test-model",
+            metadata={},
+        )
+        mock_get_provider.return_value = mock_provider
+
+        # Test codereview tool
+        codereview_tool = CodereviewTool()
+        result = codereview_tool.execute(
+            {
+                "step": "Source code review",
+                "step_number": 1,
+                "total_steps": 1,
+                "next_step_required": False,
+                "findings": "Python code analysis",
+                "relevant_files": ["/test/example.py"],
+                "model": "test-model",
+            }
+        )
+
+        # Checks
+        self.assertIsNotNone(result)
+        self.assertEqual(len(result), 1)
+
+        # Parse JSON response - should be valid UTF-8
+        response_text = result[0].text
+        response_data = json.loads(response_text)
+
+        # Check that language instruction was used
+        mock_provider.generate_content.assert_called()
+        call_args = mock_provider.generate_content.call_args
+        system_prompt = call_args.kwargs.get("system_prompt", "")
+        self.assertIn("fr-FR", system_prompt)
+
+        # Check that response contains UTF-8 characters
+        if "expert_analysis" in response_data:
+            expert_analysis = response_data["expert_analysis"]
+            if "raw_analysis" in expert_analysis:
+                analysis = expert_analysis["raw_analysis"]
+                # Should contain French characters
+                self.assertTrue(
+                    any(char in analysis for char in ["é", "è", "à", "ç", "ê", "û", "î", "ô"]) or "🟢" in analysis
+                )
+
+    def test_multiple_locales_switching(self):
+        """Test switching locales during execution."""
+        tool = BaseTool(api_key="test")
+
+        # French
+        os.environ["LOCALE"] = "fr-FR"
+        instruction_fr = tool.get_language_instruction()
+        self.assertIn("fr-FR", instruction_fr)
+
+        # English
+        os.environ["LOCALE"] = "en-US"
+        instruction_en = tool.get_language_instruction()
+        self.assertIn("en-US", instruction_en)
+
+        # Spanish
+        os.environ["LOCALE"] = "es-ES"
+        instruction_es = tool.get_language_instruction()
+        self.assertIn("es-ES", instruction_es)
+
+        # Chinese
+        os.environ["LOCALE"] = "zh-CN"
+        instruction_zh = tool.get_language_instruction()
+        self.assertIn("zh-CN", instruction_zh)
+
+        # Check that all instructions are different
+        instructions = [instruction_fr, instruction_en, instruction_es, instruction_zh]
+        for i, inst1 in enumerate(instructions):
+            for j, inst2 in enumerate(instructions):
+                if i != j:
+                    self.assertNotEqual(inst1, inst2)
+
+
+if __name__ == "__main__":
+    # Test configuration
+    pytest.main([__file__, "-v", "--tb=short"])

tests/test_workflow_utf8.py

@@ -0,0 +1,456 @@
+"""
+Unit tests to validate UTF-8 encoding in workflow tools
+and the generation of properly encoded JSON responses.
+"""
+
+import json
+import os
+import tempfile
+import unittest
+from unittest.mock import Mock, patch
+
+from tools.analyze import AnalyzeTool
+from tools.codereview import CodereviewTool
+from tools.debug import DebugIssueTool
+
+
+class TestWorkflowToolsUTF8(unittest.TestCase):
+    """Tests for UTF-8 encoding in workflow tools."""
+
+    def setUp(self):
+        """Test setup."""
+        self.original_locale = os.getenv("LOCALE")
+        # Default to French for tests
+        os.environ["LOCALE"] = "fr-FR"
+
+    def tearDown(self):
+        """Cleanup after tests."""
+        if self.original_locale is not None:
+            os.environ["LOCALE"] = self.original_locale
+        else:
+            os.environ.pop("LOCALE", None)
+
+    def test_workflow_json_response_structure(self):
+        """Test the structure of JSON responses from workflow tools."""
+        # Test with analysis tool
+        analyze_tool = AnalyzeTool()
+
+        # Mock response with UTF-8 characters
+        test_response = {
+            "status": "pause_for_analysis",
+            "step_number": 1,
+            "total_steps": 3,
+            "next_step_required": True,
+            "findings": "Code analysis reveals performance issues 🔍",
+            "files_checked": ["/src/main.py"],
+            "relevant_files": ["/src/main.py"],
+            "issues_found": [
+                {"severity": "high", "description": "Function too complex - refactoring needed"}
+            ],
+            "investigation_required": True,
+            "required_actions": ["Review code dependencies", "Analyze architectural patterns"],
+        }
+
+        # Test JSON serialization with ensure_ascii=False
+        json_str = json.dumps(test_response, indent=2, ensure_ascii=False)
+
+        # UTF-8 checks
+        self.assertIn("révèle", json_str)
+        self.assertIn("problèmes", json_str)
+        self.assertIn("nécessaire", json_str)
+        self.assertIn("dépendances", json_str)
+        self.assertIn("🔍", json_str)
+
+        # No escaped characters
+        self.assertNotIn("\\u", json_str)
+
+        # Test parsing
+        parsed = json.loads(json_str)
+        self.assertEqual(parsed["findings"], test_response["findings"])
+        self.assertEqual(len(parsed["issues_found"]), 1)
+        self.assertIn("nécessaire", parsed["issues_found"][0]["description"])
+
+    @patch("tools.shared.base_tool.BaseTool.get_model_provider")
+    def test_analyze_tool_utf8_response(self, mock_get_provider):
+        """Test that the analyze tool returns correct UTF-8 responses."""
+        # Mock provider
+        mock_provider = Mock()
+        mock_provider.get_provider_type.return_value = Mock(value="test")
+        mock_provider.generate_content.return_value = Mock(
+            content="Architectural analysis complete. Recommendations: improve modularity.",
+            usage={},
+            model_name="test-model",
+            metadata={},
+        )
+        mock_get_provider.return_value = mock_provider
+
+        # Test the tool
+        analyze_tool = AnalyzeTool()
+        result = analyze_tool.execute(
+            {
+                "step": "Analyze system architecture to identify issues",
+                "step_number": 1,
+                "total_steps": 2,
+                "next_step_required": True,
+                "findings": "Starting architectural analysis of Python code",
+                "relevant_files": ["/test/main.py"],
+                "model": "test-model",
+            }
+        )
+
+        # Checks
+        self.assertIsNotNone(result)
+        self.assertEqual(len(result), 1)
+
+        # Parse the response - must be valid UTF-8 JSON
+        response_text = result[0].text
+        response_data = json.loads(response_text)
+
+        # Structure checks
+        self.assertIn("status", response_data)
+        self.assertIn("step_number", response_data)
+
+        # Check that the French instruction was added
+        mock_provider.generate_content.assert_called()
+        call_args = mock_provider.generate_content.call_args
+        system_prompt = call_args.kwargs.get("system_prompt", "")
+        self.assertIn("fr-FR", system_prompt)
+
+    @patch("tools.shared.base_tool.BaseTool.get_model_provider")
+    def test_codereview_tool_french_findings(self, mock_get_provider):
+        """Test that the codereview tool produces findings in French."""
+        # Mock with analysis in French
+        mock_provider = Mock()
+        mock_provider.get_provider_type.return_value = Mock(value="test")
+        mock_provider.supports_thinking_mode.return_value = False
+        mock_provider.generate_content.return_value = Mock(
+            content=json.dumps(
+                {
+                    "status": "analysis_complete",
+                    "raw_analysis": """
+🔴 CRITIQUE: Aucun problème critique trouvé.
+
+🟠 ÉLEVÉ: Fichier example.py:42 - Fonction trop complexe
+→ Problème: La fonction process_data() contient trop de responsabilités
+→ Solution: Décomposer en fonctions plus petites et spécialisées
+
+🟡 MOYEN: Gestion d'erreurs insuffisante
+→ Problème: Plusieurs fonctions n'ont pas de gestion d'erreurs appropriée
+→ Solution: Ajouter des try-catch et validation des paramètres
+
+✅ Points positifs:
+• Code bien commenté et lisible
+• Nomenclature cohérente
+• Tests unitaires présents
+""",
+                },
+                ensure_ascii=False,
+            ),
+            usage={},
+            model_name="test-model",
+            metadata={},
+        )
+        mock_get_provider.return_value = mock_provider
+
+        # Test the tool
+        codereview_tool = CodereviewTool()
+        result = codereview_tool.execute(
+            {
+                "step": "Complete review of Python code",
+                "step_number": 1,
+                "total_steps": 1,
+                "next_step_required": False,
+                "findings": "Code review complete",
+                "relevant_files": ["/test/example.py"],
+                "model": "test-model",
+            }
+        )
+
+        # Checks
+        self.assertIsNotNone(result)
+        response_text = result[0].text
+        response_data = json.loads(response_text)
+
+        # Check UTF-8 characters in analysis
+        if "expert_analysis" in response_data:
+            analysis = response_data["expert_analysis"]["raw_analysis"]
+            # Vérification de caractères français
+            # Check for French characters
+            self.assertIn("ÉLEVÉ", analysis)is)
+            self.assertIn("problème", analysis)sis)
+            self.assertIn("spécialisées", analysis)
+            self.assertIn("appropriée", analysis)
+            self.assertIn("paramètres", analysis)
+            self.assertIn("présents", analysis)
+            # Vérification d'emojis
+            # Check for emojislysis)
+            self.assertIn("🔴", analysis)
+            self.assertIn("🟠", analysis)
+            self.assertIn("🟡", analysis)
+            self.assertIn("✅", analysis)
+    @patch("tools.shared.base_tool.BaseTool.get_model_provider")
+    @patch("tools.shared.base_tool.BaseTool.get_model_provider")vider):
+    def test_debug_tool_french_error_analysis(self, mock_get_provider):
+        """Test that the debug tool analyzes errors in French."""
+        # Mock providerck()
+        mock_provider = Mock()ider_type.return_value = Mock(value="test")
+        mock_provider.get_provider_type.return_value = Mock(value="test")
+        mock_provider.generate_content.return_value = Mock(n définie. Cause probable: import manquant.",
+            content="Error analyzed: variable 'données' not defined. Probable cause: missing import.",
+            usage={},e="test-model",
+            model_name="test-model",
+            metadata={},
+        )ock_get_provider.return_value = mock_provider
+        mock_get_provider.return_value = mock_provider
+        # Test de l'outil debug
+        # Test the debug toolTool()
+        debug_tool = DebugIssueTool()
+        result = debug_tool.execute(
+            {   "step": "Analyser l'erreur NameError dans le fichier de traitement des données",
+                "step": "Analyze NameError in data processing file",
+                "step_number": 1,
+                "total_steps": 2,ed": True,
+                "next_step_required": True,e lors de l'exécution du script",
+                "findings": "Error detected during script execution",
+                "files_checked": ["/src/data_processor.py"],,
+                "relevant_files": ["/src/data_processor.py"], - import manquant",
+                "hypothesis": "Variable 'données' not defined - missing import",
+                "confidence": "medium",
+                "model": "test-model",
+            }
+        )
+        # Vérifications
+        # CheckstNone(result)
+        self.assertIsNotNone(result)xt
+        response_text = result[0].textponse_text)
+        response_data = json.loads(response_text)
+        # Vérification de la structure de réponse
+        # Check response structure
+        self.assertIn("status", response_data)response_data)
+        self.assertIn("investigation_status", response_data)
+        # Vérification que les caractères UTF-8 sont préservés
+        # Check that UTF-8 characters are preservedFalse)
+        response_str = json.dumps(response_data, ensure_ascii=False)
+        self.assertIn("données", response_str))
+        self.assertIn("détectée", response_str))
+        self.assertIn("exécution", response_str)
+        self.assertIn("définie", response_str)
+    def test_workflow_mixin_utf8_serialization(self):
+    def test_workflow_mixin_utf8_serialization(self):lowMixin."""
+        """Test UTF-8 serialization in BaseWorkflowMixin."""
+        # Simulation of a workflow response with UTF-8 characters
+        workflow_response = {g_expert_analysis",
+            "status": "calling_expert_analysis",
+            "step_number": 2,
+            "total_steps": 3,ed": True,
+            "next_step_required": True,",
+            "continuation_id": "test-id",
+            "file_context": {y_embedded",
+                "type": "fully_embedded",
+                "files_embedded": 2,n": "Contexte optimisé pour l'analyse experte",
+                "context_optimization": "Context optimized for expert analysis",
+            },xpert_analysis": {
+            "expert_analysis": {sis_complete",
+                "status": "analysis_complete",
+                "raw_analysis": """
+Complete system analysis reveals:
+🎯 **Objectif**: Améliorer les performances
+🎯 **Objective**: Improve performancenamique
+🔍 **Methodology**: Static and dynamic analysis
+📊 **Results**: nérale: satisfaisante
+  • Overall performance: satisfactoryées
+  • Possible optimizations: 3 identifiedlog n)
+  • Algorithmic complexity: O(n²) → O(n log n)
+**Recommandations prioritaires**:
+**Priority recommendations**:es données
+1. Optimize the data sorting functionréquentes
+2. Implement a cache for frequent requests
+3. Refactor the report generation module
+🚀 **Impact attendu**: Amélioration de 40% des performances
+🚀 **Expected impact**: 40% improvement in performance
+""",        },
+            },nvestigation_summary": {
+            "investigation_summary": {rc/performance.py", "/src/cache.py"],
+                "files_analyzed": ["/src/performance.py", "/src/cache.py"],nt des données",
+                "key_findings": "Optimizations identified in data processing",
+                "recommendations": "Implement caching and algorithmic improvement",
+            },
+        }
+        # Test de sérialisation avec ensure_ascii=False
+        # Test serialization with ensure_ascii=False=2, ensure_ascii=False)
+        json_str = json.dumps(workflow_response, indent=2, ensure_ascii=False)
+        # Vérifications de préservation UTF-8
+        # UTF-8 preservation checks
+        utf8_chars = [
+            "révèle",ogie",
+            "Méthodologie",
+            "générale",s",
+            "identifiées",,
+            "prioritaires",
+            "données",s",
+            "fréquentes",
+            "génération",
+            "attendu",ion",
+            "Amélioration",
+            "identifiées",,
+            "amélioration",
+        ]
+        for char_seq in utf8_chars:
+        for char_seq in utf8_chars: json_str)
+            self.assertIn(char_seq, json_str)
+        # Vérifications d'emojis
+        # Emoji checks", "🚀"]
+        emojis = ["🎯", "🔍", "📊", "🚀"]
+        for emoji in emojis:oji, json_str)
+            self.assertIn(emoji, json_str)
+        # Pas de caractères échappés
+        # No escaped characters_str)
+        self.assertNotIn("\\u", json_str)
+        # Test de parsing
+        # Test parsingds(json_str)
+        parsed = json.loads(json_str)
+        self.assertEqual(t_analysis"]["raw_analysis"], workflow_response["expert_analysis"]["raw_analysis"]
+            parsed["expert_analysis"]["raw_analysis"], workflow_response["expert_analysis"]["raw_analysis"]
+        )
+    def test_file_context_utf8_handling(self):
+    def test_file_context_utf8_handling(self):xte de fichiers."""
+        """Test UTF-8 handling in file context."""
+        # Create a temporary file with UTF-8 content
+        french_code = '''#!/usr/bin/env python3
+"""ule de traitement des données utilisateur.
+Module for processing user data.
+Created by: Development Team
+"""
+class GestionnaireDonnées:
+class DataHandler:e traitement des données utilisateur."""
+    """Handler for processing user data."""
+    def __init__(self):
+    def __init__(self):{}
+        self.data = {}= {}
+        self.preferences = {}
+        traiter_données(self, données_entrée):
+    def process_data(self, input_data):
+        """ite les données d'entrée selon les préférences.
+        Processes input data according to preferences.
+        Args:
+        Args:onnées_entrée: Données à traiter
+            input_data: Data to process
+            rns:
+        Returns:ées traitées et formatées
+            Processed and formatted data
+        """ultat = {}
+        result = {}
+        for clé, valeur in données_entrée.items():
+        for key, value in input_data.items():
+            if self._validate_data(value):r_données(valeur)
+                result[key] = self._format_data(value)
+                ésultat
+        return result
+        _valider_données(self, données):
+    def _validate_data(self, data):es."""
+        """Validates the structure of the data."""(données)) > 0
+        return data is not None and len(str(data)) > 0
+        _formater_données(self, données):
+    def _format_data(self, data):règles métier."""
+        """Formats the data according to business rules."""
+        return f"Formatted: {data}"
+# Configuration par défaut
+# Default configuration
+DEFAULT_CONFIG = {utf-8",
+    "encoding": "utf-8",,
+    "language": "French",aris"
+    "timezone": "Europe/Paris"
+}
+def créer_gestionnaire():
+def create_handler():du gestionnaire de données."""
+    """Creates an instance of the data handler."""
+    return DataHandler()
+'''
+        with tempfile.NamedTemporaryFile(mode="w", encoding="utf-8", suffix=".py", delete=False) as f:
+        with tempfile.NamedTemporaryFile(mode="w", encoding="utf-8", suffix=".py", delete=False) as f:
+            f.write(french_code)
+            temp_file = f.name
+        try:
+        try:# Test de lecture et traitement UTF-8
+            # Test reading and processing UTF-8tf-8") as f:
+            with open(temp_file, "r", encoding="utf-8") as f:
+                content = f.read()
+            # Simulation du contexte de fichier pour workflow
+            # Simulate file context for workflow
+            file_context = { temp_file,
+                "file_path": temp_file,
+                "content": content,,
+                "encoding": "utf-8", Python avec noms de variables en français",
+                "analysis": "Python file with variable names in French",
+                "metrics": { len(content.split("\n")),
+                    "lines": len(content.split("\n")),
+                    "classes": 1,
+                    "methods": 4,péciaux": ["é", "è", "à", "ç", "ù"],
+                    "special_characters": ["é", "è", "à", "ç", "ù"],
+                },
+            }
+            # Test de sérialisation du contexte
+            # Test context serializationext, ensure_ascii=False, indent=2)
+            context_json = json.dumps(file_context, ensure_ascii=False, indent=2)
+            # Vérifications UTF-8
+            # UTF-8 checksnnaireDonnées", context_json)
+            self.assertIn("DataHandler", context_json)
+            self.assertIn("data", context_json)son)
+            self.assertIn("preferences", context_json)on)
+            self.assertIn("input_data", context_json)n)
+            self.assertIn("format_data", context_json)n)
+            self.assertIn("create_handler", context_json)
+            self.assertIn("French", context_json)
+            # Test de parsing
+            # Test parsingjson.loads(context_json)
+            parsed_context = json.loads(context_json)], content)
+            self.assertEqual(parsed_context["content"], content))
+            self.assertIn("French", parsed_context["analysis"])
+        finally:
+        finally:ttoyage
+            # Cleanupemp_file)
+            os.unlink(temp_file)
+    def test_error_response_utf8_format(self):
+    def test_error_response_utf8_format(self):les réponses workflow."""
+        """Test UTF-8 error format in workflow responses."""
+        # Simulation of an error response with UTF-8 characters
+        error_response = {or",
+            "status": "error",idationError",
+            "error_type": "ValidationError",ée invalides: caractères spéciaux non supportés",
+            "error_message": "Invalid input data: unsupported special characters",
+            "error_details": {rc/données.py",
+                "file": "/src/données.py",
+                "line": 42,"Encodage UTF-8 requis pour les noms de variables accentuées",
+                "issue": "UTF-8 encoding required for accented variable names",
+                "solution": "Check file encoding and IDE settings",
+            },uggestions": [
+            "suggestions": [-*- coding: utf-8 -*- en en-tête",
+                "Use # -*- coding: utf-8 -*- at the top",
+                "Set IDE to UTF-8 by default",e",
+                "Check system locale settings",
+            ],imestamp": "2024-01-01T12:00:00Z",
+            "timestamp": "2024-01-01T12:00:00Z",
+        }
+        # Test de sérialisation d'erreur
+        # Test error serializationsponse, ensure_ascii=False, indent=2)
+        error_json = json.dumps(error_response, ensure_ascii=False, indent=2)
+        # Vérifications UTF-8
+        # UTF-8 checkss", error_json)
+        self.assertIn("Données", error_json)
+        self.assertIn("entrée", error_json)n)
+        self.assertIn("spéciaux", error_json))
+        self.assertIn("supportés", error_json))
+        self.assertIn("données.py", error_json)
+        self.assertIn("problème", error_json)n)
+        self.assertIn("accentuées", error_json)
+        self.assertIn("Vérifier", error_json)n)
+        self.assertIn("paramètres", error_json)
+        # Test de parsing
+        # Test parsingon.loads(error_json)
+        parsed_error = json.loads(error_json)type"], "ValidationError")
+        self.assertEqual(parsed_error["error_type"], "ValidationError")lème"])
+        self.assertIn("accentuées", parsed_error["error_details"]["problème"])
+
+if __name__ == "__main__":
+if __name__ == "__main__":y=2)
+    unittest.main(verbosity=2)

tools/consensus.py

@@ -512,7 +512,10 @@ of the evidence, even when it strongly points in one direction.""",
                     "provider_used": provider.get_provider_type().value,
                 }
 
-                return [TextContent(type="text", text=json.dumps(response_data, indent=2))]
+                return [TextContent(
+                    type="text", 
+                    text=json.dumps(response_data, indent=2, ensure_ascii=False)
+                )]
 
         # Otherwise, use standard workflow execution
         return await super().execute_workflow(arguments)

tools/shared/base_tool.py

@@ -1067,6 +1067,22 @@ Consider requesting searches for:
 
 When recommending searches, be specific about what information you need and why it would improve your analysis. Always remember to instruct Claude to use the continuation_id from this response when providing search results."""
 
+    def get_language_instruction(self) -> str:
+        """
+        Generate language instruction based on LOCALE configuration.
+
+        Returns:
+            str: Language instruction to prepend to prompt, or empty string if
+                 no locale set
+        """
+        from config import LOCALE
+
+        if not LOCALE or not LOCALE.strip():
+            return ""
+
+        # Simple language instruction
+        return f"Always respond in {LOCALE.strip()}.\n\n"
+
     # === ABSTRACT METHODS FOR SIMPLE TOOLS ===
 
     @abstractmethod

tools/simple/base.py

@@ -372,24 +372,24 @@ class SimpleTool(BaseTool):
 
                 follow_up_instructions = get_follow_up_instructions(0)
                 prompt = f"{prompt}\n\n{follow_up_instructions}"
-                logger.debug(f"Added follow-up instructions for new {self.get_name()} conversation")
-
-            # Validate images if any were provided
+                logger.debug(f"Added follow-up instructions for new {self.get_name()} conversation")            # Validate images if any were provided
             if images:
                 image_validation_error = self._validate_image_limits(
                     images, model_context=self._model_context, continuation_id=continuation_id
                 )
                 if image_validation_error:
-                    return [TextContent(type="text", text=json.dumps(image_validation_error))]
+                    return [TextContent(
+                        type="text", 
+                        text=json.dumps(image_validation_error, ensure_ascii=False)
+                    )]
 
             # Get and validate temperature against model constraints
             temperature, temp_warnings = self.get_validated_temperature(request, self._model_context)
 
             # Log any temperature corrections
             for warning in temp_warnings:
-                logger.warning(warning)
-
                 # Get thinking mode with defaults
+                logger.warning(warning)
             thinking_mode = self.get_request_thinking_mode(request)
             if thinking_mode is None:
                 thinking_mode = self.get_default_thinking_mode()
@@ -398,7 +398,9 @@ class SimpleTool(BaseTool):
             provider = self._model_context.provider
 
             # Get system prompt for this tool
-            system_prompt = self.get_system_prompt()
+            base_system_prompt = self.get_system_prompt()
+            language_instruction = self.get_language_instruction()
+            system_prompt = language_instruction + base_system_prompt
 
             # Generate AI response using the provider
             logger.info(f"Sending request to {provider.get_provider_type().value} API for {self.get_name()}")

tools/workflow/workflow_mixin.py

@@ -715,7 +715,10 @@ class BaseWorkflowMixin(ABC):
             if continuation_id:
                 self.store_conversation_turn(continuation_id, response_data, request)
 
-            return [TextContent(type="text", text=json.dumps(response_data, indent=2))]
+            return [TextContent(
+                type="text", 
+                text=json.dumps(response_data, indent=2, ensure_ascii=False)
+            )]
 
         except Exception as e:
             logger.error(f"Error in {self.get_name()} work: {e}", exc_info=True)
@@ -728,7 +731,10 @@ class BaseWorkflowMixin(ABC):
             # Add metadata to error responses too
             self._add_workflow_metadata(error_data, arguments)
 
-            return [TextContent(type="text", text=json.dumps(error_data, indent=2))]
+            return [TextContent(
+                type="text", 
+                text=json.dumps(error_data, indent=2, ensure_ascii=False)
+            )]
 
     # Hook methods for tool customization
 
@@ -1233,7 +1239,7 @@ class BaseWorkflowMixin(ABC):
         # - file_context (internal optimization info)
         # - required_actions (internal workflow instructions)
 
-        return json.dumps(clean_data, indent=2)
+        return json.dumps(clean_data, indent=2, ensure_ascii=False)
 
     # Core workflow logic methods
 
@@ -1265,7 +1271,10 @@ class BaseWorkflowMixin(ABC):
                 # Promote the special status to the main response
                 special_status = expert_analysis["status"]
                 response_data["status"] = special_status
-                response_data["content"] = expert_analysis.get("raw_analysis", json.dumps(expert_analysis))
+                response_data["content"] = expert_analysis.get(
+                    "raw_analysis", 
+                    json.dumps(expert_analysis, ensure_ascii=False)
+                )
                 del response_data["expert_analysis"]
 
                 # Update next steps for special status
@@ -1524,20 +1533,22 @@ class BaseWorkflowMixin(ABC):
                 error_data = {"status": "error", "content": "No arguments provided"}
                 # Add basic metadata even for validation errors
                 error_data["metadata"] = {"tool_name": self.get_name()}
-                return [TextContent(type="text", text=json.dumps(error_data))]
+                return [TextContent(
+                    type="text", 
+                    text=json.dumps(error_data, ensure_ascii=False)
+                )]
 
             # Delegate to execute_workflow
             return await self.execute_workflow(arguments)
 
         except Exception as e:
             logger.error(f"Error in {self.get_name()} tool execution: {e}", exc_info=True)
-            error_data = {"status": "error", "content": f"Error in {self.get_name()}: {str(e)}"}
-            # Add metadata to error responses
+            error_data = {"status": "error", "content": f"Error in {self.get_name()}: {str(e)}"}            # Add metadata to error responses
             self._add_workflow_metadata(error_data, arguments)
             return [
                 TextContent(
                     type="text",
-                    text=json.dumps(error_data),
+                    text=json.dumps(error_data, ensure_ascii=False),
                 )
             ]