Add management command to rename conversations

Conversations with >10 messages get an LLM-generated summary title.
Conversations with <=10 messages get the first user message truncated
to 100 chars. Supports --dry-run for previewing changes.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

app.py

@@ -135,17 +135,10 @@ async def get_messages():
             }
         )
 
-    name = conversation.name
-    if len(messages) > 8:
-        name = await blueprints.conversation.logic.rename_conversation(
-            user=user,
-            conversation=conversation,
-        )
-
     return jsonify(
         {
             "id": str(conversation.id),
-            "name": name,
+            "name": conversation.name,
             "messages": messages,
             "created_at": conversation.created_at.isoformat(),
             "updated_at": conversation.updated_at.isoformat(),

blueprints/conversation/__init__.py

@@ -1,4 +1,3 @@
-import datetime
 import json
 import logging
 import uuid
@@ -20,7 +19,6 @@ from .agents import main_agent
 from .logic import (
     add_message_to_conversation,
     get_conversation_by_id,
-    rename_conversation,
 )
 from .memory import get_memories_for_user
 from .models import (
@@ -242,8 +240,6 @@ async def stream_query():
 @jwt_refresh_token_required
 async def get_conversation(conversation_id: str):
     conversation = await Conversation.get(id=conversation_id)
-    current_user_uuid = get_jwt_identity()
-    user = await blueprints.users.models.User.get(id=current_user_uuid)
     await conversation.fetch_related("messages")
 
     # Manually serialize the conversation with messages
@@ -258,18 +254,10 @@ async def get_conversation(conversation_id: str):
                 "image_key": msg.image_key,
             }
         )
-    name = conversation.name
-    if len(messages) > 8 and "datetime" in name.lower():
-        name = await rename_conversation(
-            user=user,
-            conversation=conversation,
-        )
-        print(name)
-
     return jsonify(
         {
             "id": str(conversation.id),
-            "name": name,
+            "name": conversation.name,
             "messages": messages,
             "created_at": conversation.created_at.isoformat(),
             "updated_at": conversation.updated_at.isoformat(),
@@ -283,7 +271,7 @@ async def create_conversation():
     user_uuid = get_jwt_identity()
     user = await blueprints.users.models.User.get(id=user_uuid)
     conversation = await Conversation.create(
-        name=f"{user.username} {datetime.datetime.now().timestamp}",
+        name="New Conversation",
         user=user,
     )
 

blueprints/conversation/logic.py

@@ -1,9 +1,8 @@
 import tortoise.exceptions
-from langchain_openai import ChatOpenAI
 
 import blueprints.users.models
 
-from .models import Conversation, ConversationMessage, RenameConversationOutputSchema
+from .models import Conversation, ConversationMessage
 
 
 async def create_conversation(name: str = "") -> Conversation:
@@ -67,22 +66,3 @@ async def get_conversation_transcript(
         messages.append(f"{message.speaker} at {message.created_at}: {message.text}")
 
     return "\n".join(messages)
-
-
-async def rename_conversation(
-    user: blueprints.users.models.User,
-    conversation: Conversation,
-) -> str:
-    messages: str = await get_conversation_transcript(
-        user=user, conversation=conversation
-    )
-
-    llm = ChatOpenAI(model="gpt-4o-mini")
-    structured_llm = llm.with_structured_output(RenameConversationOutputSchema)
-
-    prompt = f"Summarize the following conversation into a sassy one-liner title:\n\n{messages}"
-    response = structured_llm.invoke(prompt)
-    new_name: str = response.get("title", "")
-    conversation.name = new_name
-    await conversation.save()
-    return new_name

blueprints/conversation/models.py

@@ -1,5 +1,4 @@
 import enum
-from dataclasses import dataclass
 
 from tortoise import fields
 from tortoise.contrib.pydantic import (
@@ -9,12 +8,6 @@ from tortoise.contrib.pydantic import (
 from tortoise.models import Model
 
 
-@dataclass
-class RenameConversationOutputSchema:
-    title: str
-    justification: str
-
-
 class Speaker(enum.Enum):
     USER = "user"
     SIMBA = "simba"

raggr-frontend/src/components/ChatScreen.tsx

@@ -120,20 +120,6 @@ export const ChatScreen = ({ setAuthenticated }: ChatScreenProps) => {
     scrollToBottom();
   }, [messages]);
 
-  useEffect(() => {
-    const load = async () => {
-      if (!selectedConversation) return;
-      try {
-        const conv = await conversationService.getConversation(selectedConversation.id);
-        setSelectedConversation({ id: conv.id, title: conv.name });
-        setMessages(conv.messages.map((m) => ({ text: m.text, speaker: m.speaker, image_key: m.image_key })));
-      } catch (err) {
-        console.error("Failed to load messages:", err);
-      }
-    };
-    load();
-  }, [selectedConversation?.id]);
-
   const handleQuestionSubmit = useCallback(async () => {
     if ((!query.trim() && !pendingImage) || isLoading) return;
 
@@ -215,7 +201,10 @@ export const ChatScreen = ({ setAuthenticated }: ChatScreenProps) => {
         }
       }
     } finally {
-      if (isMountedRef.current) setIsLoading(false);
+      if (isMountedRef.current) {
+        setIsLoading(false);
+        loadConversations();
+      }
       abortControllerRef.current = null;
     }
   }, [query, pendingImage, isLoading, selectedConversation, simbaMode, messages, setAuthenticated]);

scripts/rename_conversations.py

@@ -0,0 +1,97 @@
+#!/usr/bin/env python3
+"""
+Management command to rename all conversations.
+
+- Conversations with >10 messages: renamed to an LLM-generated summary
+- Conversations with <=10 messages: renamed to a truncation of the first user message
+"""
+
+import argparse
+import asyncio
+import os
+
+from tortoise import Tortoise
+
+from blueprints.conversation.models import Conversation, Speaker
+from llm import LLMClient
+
+
+async def rename_conversations(dry_run: bool = False):
+    """Rename all conversations based on message count."""
+
+    database_url = os.getenv("DATABASE_URL", "sqlite://raggr.db")
+    await Tortoise.init(
+        db_url=database_url,
+        modules={
+            "models": [
+                "blueprints.users.models",
+                "blueprints.conversation.models",
+            ]
+        },
+    )
+
+    try:
+        llm = LLMClient()
+        conversations = await Conversation.all().prefetch_related("messages")
+
+        renamed = 0
+        skipped = 0
+
+        for conversation in conversations:
+            messages = sorted(conversation.messages, key=lambda m: m.created_at)
+            user_messages = [m for m in messages if m.speaker == Speaker.USER]
+
+            if not user_messages:
+                skipped += 1
+                continue
+
+            if len(messages) > 10:
+                # Summarize via LLM
+                message_text = "\n".join(
+                    f"{m.speaker.value}: {m.text}" for m in messages[:30]
+                )
+                new_name = llm.chat(
+                    prompt=message_text,
+                    system_prompt=(
+                        "You are naming a conversation. Given the messages below, "
+                        "produce a short, descriptive title (max 8 words). "
+                        "Reply with ONLY the title, nothing else."
+                    ),
+                )
+                new_name = new_name.strip().strip('"').strip("'")[:100]
+            else:
+                # Truncate first user message
+                new_name = user_messages[0].text[:100]
+
+            old_name = conversation.name
+            if old_name == new_name:
+                skipped += 1
+                continue
+
+            if dry_run:
+                print(f"  [dry-run] '{old_name}' -> '{new_name}'")
+            else:
+                conversation.name = new_name
+                await conversation.save()
+                print(f"  '{old_name}' -> '{new_name}'")
+
+            renamed += 1
+
+        print(f"\nRenamed: {renamed}  Skipped: {skipped}")
+        if dry_run:
+            print("(dry run — no changes were saved)")
+    finally:
+        await Tortoise.close_connections()
+
+
+if __name__ == "__main__":
+    parser = argparse.ArgumentParser(
+        description="Rename conversations based on message count"
+    )
+    parser.add_argument(
+        "--dry-run",
+        action="store_true",
+        help="Preview renames without saving",
+    )
+    args = parser.parse_args()
+    asyncio.run(rename_conversations(dry_run=args.dry_run))