Files
simbarag/blueprints/conversation/models.py
Ryan Chen c95800e65d Add user memory feature for cross-conversation recall
Give the LangChain agent a save_user_memory tool so users can ask it to
remember preferences and personal facts. Memories are stored per-user in
a new user_memories table and injected into the system prompt on each
conversation turn.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-04-09 21:53:14 -04:00

74 lines
2.0 KiB
Python

import enum
from dataclasses import dataclass
from tortoise import fields
from tortoise.contrib.pydantic import (
pydantic_model_creator,
pydantic_queryset_creator,
)
from tortoise.models import Model
@dataclass
class RenameConversationOutputSchema:
title: str
justification: str
class Speaker(enum.Enum):
USER = "user"
SIMBA = "simba"
class Conversation(Model):
id = fields.UUIDField(primary_key=True)
name = fields.CharField(max_length=255)
created_at = fields.DatetimeField(auto_now_add=True)
updated_at = fields.DatetimeField(auto_now=True)
user: fields.ForeignKeyRelation = fields.ForeignKeyField(
"models.User", related_name="conversations", null=True
)
class Meta:
table = "conversations"
class ConversationMessage(Model):
id = fields.UUIDField(primary_key=True)
text = fields.TextField()
conversation = fields.ForeignKeyField(
"models.Conversation", related_name="messages"
)
created_at = fields.DatetimeField(auto_now_add=True)
speaker = fields.CharEnumField(enum_type=Speaker, max_length=10)
image_key = fields.CharField(max_length=512, null=True, default=None)
class Meta:
table = "conversation_messages"
class UserMemory(Model):
id = fields.UUIDField(primary_key=True)
user = fields.ForeignKeyField("models.User", related_name="memories")
content = fields.TextField()
created_at = fields.DatetimeField(auto_now_add=True)
updated_at = fields.DatetimeField(auto_now=True)
class Meta:
table = "user_memories"
PydConversationMessage = pydantic_model_creator(ConversationMessage)
PydConversation = pydantic_model_creator(
Conversation, name="Conversation", allow_cycles=True, exclude=("user",)
)
PydConversationWithMessages = pydantic_model_creator(
Conversation,
name="ConversationWithMessages",
allow_cycles=True,
exclude=("user",),
include=("messages",),
)
PydListConversation = pydantic_queryset_creator(Conversation)
PydListConversationMessage = pydantic_queryset_creator(ConversationMessage)