Increase platform abstraction cohesion

core/views/workspace.py

@@ -14,6 +14,7 @@ from django.views import View
 
 from core.forms import AIWorkspaceWindowForm
 from core.lib.notify import raw_sendmsg
+from core.memory.retrieval import retrieve_memories_for_prompt
 from core.messaging import ai as ai_runner
 from core.messaging.utils import messages_to_string
 from core.models import (
@@ -3936,8 +3937,27 @@ class AIWorkspaceRunOperation(LoginRequiredMixin, View):
             )
         return rows
 
-    def _build_prompt(self, operation, owner_name, person, transcript, user_notes):
+    def _build_prompt(
+        self,
+        operation,
+        owner_name,
+        person,
+        transcript,
+        user_notes,
+        memory_context,
+    ):
         notes = (user_notes or "").strip()
+        memory_lines = []
+        for index, item in enumerate(memory_context or [], start=1):
+            content = item.get("content") or {}
+            text = str(content.get("text") or "").strip()
+            if not text:
+                text = str(content).strip()
+            if not text:
+                continue
+            kind = str(item.get("memory_kind") or "fact")
+            memory_lines.append(f"{index}. [{kind}] {text}")
+        memory_text = "\n".join(memory_lines) if memory_lines else "None"
         if operation == "draft_reply":
             instruction = (
                 "Generate 3 concise reply options in different tones: soft, neutral, firm. "
@@ -3965,6 +3985,8 @@ class AIWorkspaceRunOperation(LoginRequiredMixin, View):
                     f"Owner: {owner_name}\n"
                     f"Person: {person.name}\n"
                     f"Notes: {notes or 'None'}\n\n"
+                    "Approved Memory Context:\n"
+                    f"{memory_text}\n\n"
                     f"Conversation:\n{transcript}"
                 ),
             },
@@ -4111,12 +4133,20 @@ class AIWorkspaceRunOperation(LoginRequiredMixin, View):
         )
 
         try:
+            memory_context = retrieve_memories_for_prompt(
+                user_id=request.user.id,
+                person_id=str(person.id),
+                conversation_id=str(conversation.id),
+                statuses=("active",),
+                limit=12,
+            )
             prompt = self._build_prompt(
                 operation=operation,
                 owner_name=owner_name,
                 person=person,
                 transcript=transcript,
                 user_notes=user_notes,
+                memory_context=memory_context,
             )
             result_text = async_to_sync(ai_runner.run_prompt)(prompt, ai_obj)
             draft_options = (