feat: aggiunge supporto agente semplice per Ollama

- Crea create_simple_agent() per provider senza tool-calling
- Detecta automaticamente Ollama e usa agente semplice
- Aggiunge comando /reset per pulire cronologia

main.py

@@ -287,6 +287,54 @@ def get_skill_tools() -> List[Tool]:
     return skill_tools
 
 
+def create_simple_agent(system_prompt: Optional[str] = None):
+    """
+    Create a simple chat agent for providers without full tool-calling support (e.g., Ollama).
+    This agent just uses direct chat without advanced tool calling features.
+    """
+    from langchain.schema import HumanMessage, AIMessage, SystemMessage
+    from langchain.chat_models import init_chat_model
+    
+    model = load_model_from_config()
+    
+    class SimpleAgent:
+        """Simple agent wrapper for Ollama and similar providers."""
+        
+        def __init__(self, llm, prompt):
+            self.llm = llm
+            self.messages = []
+            if prompt:
+                self.messages.append(SystemMessage(content=prompt))
+        
+        def invoke(self, input_dict):
+            user_message = input_dict.get("messages", [])[-1]
+            if hasattr(user_message, 'content'):
+                user_content = user_message.content
+            else:
+                user_content = str(user_message)
+            
+            # Add to history
+            self.messages.append(HumanMessage(content=user_content))
+            
+            # Get response
+            response = self.llm.invoke(self.messages)
+            self.messages.append(response)
+            
+            return {"messages": self.messages}
+        
+        def clear_history(self):
+            """Clear conversation history but keep system prompt."""
+            system_msg = self.messages[0] if self.messages and isinstance(self.messages[0], SystemMessage) else None
+            self.messages = [system_msg] if system_msg else []
+    
+    if system_prompt is None:
+        system_prompt = """You are LangCode, a helpful AI assistant. 
+You can answer questions, write code, explain concepts, and help with programming tasks.
+Be concise and helpful. Respond in Italian when the user writes in Italian."""
+    
+    return SimpleAgent(model, system_prompt)
+
+
 def get_custom_tools() -> List[Tool]:
     """
     Get custom tools for the LangCode agent
@@ -362,10 +410,30 @@ def get_custom_tools() -> List[Tool]:
     return custom_tools
 
 
-def create_langcode_agent(system_prompt: Optional[str] = None):
+def create_langcode_agent(system_prompt: Optional[str] = None, use_simple_agent: bool = False):
     """
-    Create and return a DeepAgent instance with configurable model.
+    Create and return an agent instance with configurable model.
+    
+    For Ollama and other providers without full tool-calling support,
+    uses a simple chat agent instead of deepagents.
     """
+    # Detect if we need simple agent (for Ollama without tool support)
+    if not use_simple_agent and CONFIG_AVAILABLE:
+        active_name = config_manager.get_active_configuration()
+        if active_name:
+            config = config_manager.get_configuration(active_name)
+            if config and config.get("provider") == "ollama":
+                # Ollama doesn't fully support bind_tools in deepagents
+                # Check if we have tools - if so, use simple agent
+                custom_tools = get_custom_tools()
+                if len(custom_tools) > 0:
+                    print("⚠️  Using simple chat agent (Ollama detected without full tool support)")
+                    use_simple_agent = True
+    
+    if use_simple_agent:
+        return create_simple_agent(system_prompt)
+    
+    # Use deepagents for providers with full tool-calling support
     if system_prompt is None:
         system_prompt = """You are LangCode, a helpful AI agent that can plan, use tools, 
         manage context, and delegate to subagents. You are designed to be configurable 
@@ -979,6 +1047,13 @@ def process_command(user_input: str) -> bool:
         list_models()
     elif command == 'clear':
         clear_screen()
+    elif command == 'reset':
+        # Reset conversation history (for simple agent)
+        if hasattr(agent, 'clear_history'):
+            agent.clear_history()
+            print("✅ Cronologia conversazione pulita!")
+        else:
+            print("ℹ️  Reset non disponibile per questo tipo di agent.")
     elif command in ['exit', 'quit']:
         print("👋 Goodbye!")
         sys.exit(0)