diff --git a/src/context/engine.py b/src/context/engine.py
index ccd6db4..767dd03 100644
--- a/src/context/engine.py
+++ b/src/context/engine.py
@@ -557,22 +557,36 @@ class ContextEngine:
 
         messages: list[dict[str, Any]] = []
 
-        # Include previous task exchanges as conversation history
-        # (so the model remembers what was said in earlier turns)
-        for entry in session.task_history[-10:]:
-            summary = entry.get("summary", "")
-            objective = entry.get("objective", "")
-            if summary.startswith("User: "):
-                # Direct response format: "User: X → Agent: Y"
-                parts = summary.split(" → Agent: ", 1)
-                user_msg = objective or parts[0].replace("User: ", "", 1)
-                agent_msg = parts[1] if len(parts) > 1 else summary
-                messages.append({"role": "user", "content": user_msg})
-                messages.append({"role": "assistant", "content": agent_msg})
-            elif objective:
-                # Task with tools — include as compact exchange
-                messages.append({"role": "user", "content": objective})
-                messages.append({"role": "assistant", "content": summary[:500] if summary else "Tarea completada."})
+        # Include previous task exchanges as compact conversation history
+        if session.task_history:
+            history_lines = ["[HISTORIAL DE CONVERSACIÓN ANTERIOR — NO ejecutar de nuevo, solo contexto]"]
+            for entry in session.task_history[-10:]:
+                objective = entry.get("objective", "")[:200]
+                summary = entry.get("summary", "")
+                key_data = entry.get("key_data", {})
+                tools = entry.get("tools_used", [])
+
+                history_lines.append(f"Usuario pidió: {objective}")
+                if tools:
+                    history_lines.append(f"  Tools usadas: {', '.join(tools[:5])}")
+                if key_data:
+                    kd_parts = []
+                    for table, nums in key_data.get("tables", {}).items():
+                        kd_parts.append(f"{table}: records {nums}")
+                    if key_data.get("sections"):
+                        kd_parts.append(f"sections: {key_data['sections'][:5]}")
+                    if key_data.get("modules"):
+                        kd_parts.append(f"modules: {key_data['modules'][:5]}")
+                    if kd_parts:
+                        history_lines.append(f"  Datos clave: {'; '.join(kd_parts)}")
+                # Extract agent response from summary
+                if " → Agent: " in summary:
+                    agent_part = summary.split(" → Agent: ", 1)[1][:200]
+                    history_lines.append(f"  Resultado: {agent_part}")
+                history_lines.append("")
+
+            messages.append({"role": "user", "content": "\n".join(history_lines)})
+            messages.append({"role": "assistant", "content": "Entendido, tengo el contexto del historial. ¿En qué puedo ayudarte ahora?"})
 
         # Current user message
         messages.append({"role": "user", "content": user_content})