feat: init memory into ai chat messaging

.devcontainer/devcontainer.json

@@ -8,6 +8,7 @@
       "extensions": [
         "eamodio.gitlens",
         "ms-python.python",
+        "ms-python.black-formatter",
         "ms-python.vscode-pylance",
         "styled-components.vscode-styled-components",
         "dbaeumer.vscode-eslint",

apps/api/config/config.py

@@ -55,6 +55,8 @@ class DatabaseConfig(BaseModel):
     sql_connection_string: Optional[str]
     mongo_connection_string: Optional[str]
 
+class RedisConfig(BaseModel):
+    redis_connection_string: Optional[str]
 
 class LearnHouseConfig(BaseModel):
     site_name: str
@@ -63,6 +65,7 @@ class LearnHouseConfig(BaseModel):
     general_config: GeneralConfig
     hosting_config: HostingConfig
     database_config: DatabaseConfig
+    redis_config: RedisConfig
     security_config: SecurityConfig
     ai_config: AIConfig
 
@@ -183,6 +186,13 @@ def get_learnhouse_config() -> LearnHouseConfig:
         "mongo_connection_string"
     )
 
+    # Redis config 
+    env_redis_connection_string = os.environ.get("LEARNHOUSE_REDIS_CONNECTION_STRING")
+    redis_connection_string = env_redis_connection_string or yaml_config.get(
+        "redis_config", {}
+    ).get("redis_connection_string")
+
+
     # AI Config
     env_openai_api_key = os.environ.get("LEARNHOUSE_OPENAI_API_KEY")
     env_is_ai_enabled = os.environ.get("LEARNHOUSE_IS_AI_ENABLED")
@@ -255,6 +265,7 @@ def get_learnhouse_config() -> LearnHouseConfig:
         database_config=database_config,
         security_config=SecurityConfig(auth_jwt_secret_key=auth_jwt_secret_key),
         ai_config=ai_config,
+        redis_config=RedisConfig(redis_connection_string=redis_connection_string),
     )
 
     return config

apps/api/config/config.yaml

@@ -27,3 +27,6 @@ hosting_config:
 database_config:
   sql_connection_string: postgresql://learnhouse:learnhouse@db:5432/learnhouse
   mongo_connection_string: mongodb://learnhouse:learnhouse@mongo:27017/
+
+redis_config:
+  redis_connection_string: redis://redis:6379/learnhouse

apps/api/requirements.txt

@@ -24,3 +24,4 @@ openai
 chromadb
 sentence-transformers
 python-dotenv
+redis

apps/api/src/routers/ai/ai.py

@@ -1,7 +1,7 @@
 from fastapi import APIRouter, Depends, Request
 from sqlmodel import Session
-from src.services.ai.ai import ai_start_activity_chat_session
-from src.services.ai.schemas.ai import StartActivityAIChatSession
+from src.services.ai.ai import ai_send_activity_chat_message, ai_start_activity_chat_session
+from src.services.ai.schemas.ai import ActivityAIChatSessionResponse, SendActivityAIChatMessage, StartActivityAIChatSession
 from src.core.events.database import get_db_session
 from src.db.users import PublicUser
 from src.security.auth import get_current_user
@@ -16,10 +16,24 @@ async def api_ai_start_activity_chat_session(
     chat_session_object: StartActivityAIChatSession,
     current_user: PublicUser = Depends(get_current_user),
     db_session: Session = Depends(get_db_session),
-):
+)-> ActivityAIChatSessionResponse:
     """
     Start a new AI Chat session with a Course Activity
     """
     return ai_start_activity_chat_session(
         request, chat_session_object, current_user, db_session
     )
+
+@router.post("/send/activity_chat_message")
+async def api_ai_send_activity_chat_message(
+    request: Request,
+    chat_session_object: SendActivityAIChatMessage,
+    current_user: PublicUser = Depends(get_current_user),
+    db_session: Session = Depends(get_db_session),
+)-> ActivityAIChatSessionResponse:
+    """
+    Send a message to an AI Chat session with a Course Activity
+    """
+    return ai_send_activity_chat_message(
+        request, chat_session_object, current_user, db_session
+    )

apps/api/src/services/ai/ai.py

@@ -1,13 +1,20 @@
+from uuid import uuid4
 from fastapi import Depends, HTTPException, Request
+from requests import session
 from sqlmodel import Session, select
 from src.db.courses import Course, CourseRead
 from src.core.events.database import get_db_session
 from src.db.users import PublicUser
 from src.db.activities import Activity, ActivityRead
 from src.security.auth import get_current_user
-from src.services.ai.base import ask_ai
+from langchain.memory.chat_message_histories import RedisChatMessageHistory
+from src.services.ai.base import ask_ai, get_chat_session_history
 
-from src.services.ai.schemas.ai import StartActivityAIChatSession
+from src.services.ai.schemas.ai import (
+    ActivityAIChatSessionResponse,
+    SendActivityAIChatMessage,
+    StartActivityAIChatSession,
+)
 from src.services.courses.activities.utils import (
     serialize_activity_text_to_ai_comprehensible_text,
     structure_activity_content_by_type,
@@ -19,7 +26,7 @@ def ai_start_activity_chat_session(
     chat_session_object: StartActivityAIChatSession,
     current_user: PublicUser = Depends(get_current_user),
     db_session: Session = Depends(get_db_session),
-):
+) -> ActivityAIChatSessionResponse:
     """
     Start a new AI Chat session with a Course Activity
     """
@@ -32,13 +39,14 @@ def ai_start_activity_chat_session(
     activity = ActivityRead.from_orm(activity)
 
     # Get the Course
-    statement = select(Course).join(Activity).where(
-        Activity.activity_uuid == chat_session_object.activity_uuid
+    statement = (
+        select(Course)
+        .join(Activity)
+        .where(Activity.activity_uuid == chat_session_object.activity_uuid)
     )
     course = db_session.exec(statement).first()
     course = CourseRead.from_orm(course)
 
-
     if not activity:
         raise HTTPException(
             status_code=404,
@@ -50,16 +58,91 @@ def ai_start_activity_chat_session(
 
     # Serialize Activity Content Blocks to a text comprehensible by the AI
     structured = structure_activity_content_by_type(content)
-    ai_friendly_text = serialize_activity_text_to_ai_comprehensible_text(structured,course,activity)
+    ai_friendly_text = serialize_activity_text_to_ai_comprehensible_text(
+        structured, course, activity
+    )
+
+    chat_session = get_chat_session_history()
 
     response = ask_ai(
         chat_session_object.message,
-        [],
+        chat_session['message_history'],
         ai_friendly_text,
         "You are a helpful Education Assistant, and you are helping a student with the associated Course. "
         "Use the available tools to get context about this question even if the question is not specific enough."
-        "For context, this is the Course name :" + course.name + " and this is the Lecture name :" + activity.name + "."
-        "Use your knowledge to help the student."
+        "For context, this is the Course name :"
+        + course.name
+        + " and this is the Lecture name :"
+        + activity.name
+        + "."
+        "Use your knowledge to help the student.",
     )
 
-    return response['output'] 
+    return ActivityAIChatSessionResponse(
+        aichat_uuid=chat_session['aichat_uuid'],
+        activity_uuid=activity.activity_uuid,
+        message=response["output"],
+    )
+
+def ai_send_activity_chat_message(
+    request: Request,
+    chat_session_object: SendActivityAIChatMessage,
+    current_user: PublicUser = Depends(get_current_user),
+    db_session: Session = Depends(get_db_session),
+) -> ActivityAIChatSessionResponse:
+    """
+    Start a new AI Chat session with a Course Activity
+    """
+    # Get the Activity
+    statement = select(Activity).where(
+        Activity.activity_uuid == chat_session_object.activity_uuid
+    )
+    activity = db_session.exec(statement).first()
+
+    activity = ActivityRead.from_orm(activity)
+
+    # Get the Course
+    statement = (
+        select(Course)
+        .join(Activity)
+        .where(Activity.activity_uuid == chat_session_object.activity_uuid)
+    )
+    course = db_session.exec(statement).first()
+    course = CourseRead.from_orm(course)
+
+    if not activity:
+        raise HTTPException(
+            status_code=404,
+            detail="Activity not found",
+        )
+
+    # Get Activity Content Blocks
+    content = activity.content
+
+    # Serialize Activity Content Blocks to a text comprehensible by the AI
+    structured = structure_activity_content_by_type(content)
+    ai_friendly_text = serialize_activity_text_to_ai_comprehensible_text(
+        structured, course, activity
+    )
+
+    chat_session = get_chat_session_history(chat_session_object.aichat_uuid)
+
+    response = ask_ai(
+        chat_session_object.message,
+        chat_session['message_history'],
+        ai_friendly_text,
+        "You are a helpful Education Assistant, and you are helping a student with the associated Course. "
+        "Use the available tools to get context about this question even if the question is not specific enough."
+        "For context, this is the Course name :"
+        + course.name
+        + " and this is the Lecture name :"
+        + activity.name
+        + "."
+        "Use your knowledge to help the student if the context is not enough.",
+    )
+
+    return ActivityAIChatSessionResponse(
+        aichat_uuid=chat_session['aichat_uuid'],
+        activity_uuid=activity.activity_uuid,
+        message=response["output"],
+    )

apps/api/src/services/ai/base.py

@@ -1,3 +1,5 @@
+from typing import Optional
+from uuid import uuid4
 from langchain.agents import AgentExecutor
 from langchain.text_splitter import CharacterTextSplitter
 from langchain.embeddings.sentence_transformer import SentenceTransformerEmbeddings
@@ -5,7 +7,7 @@ from langchain.vectorstores import Chroma
 from langchain_core.messages import BaseMessage
 from langchain.agents.openai_functions_agent.base import OpenAIFunctionsAgent
 from langchain.prompts import MessagesPlaceholder
-from langchain.memory import ConversationBufferMemory
+from langchain.memory.chat_message_histories import RedisChatMessageHistory
 from langchain_core.messages import SystemMessage
 from langchain.agents.openai_functions_agent.agent_token_buffer_memory import (
     AgentTokenBufferMemory,
@@ -27,7 +29,7 @@ chat_history = []
 
 def ask_ai(
     question: str,
-    chat_history: list[BaseMessage],
+    message_history,
     text_reference: str,
     message_for_the_prompt: str,
 ):
@@ -52,14 +54,13 @@ def ask_ai(
     )
     tools = [tool]
 
-    llm = ChatOpenAI(
-        temperature=0, api_key=openai_api_key
-    )
+    llm = ChatOpenAI(temperature=0, api_key=openai_api_key)
 
     memory_key = "history"
 
-    memory = AgentTokenBufferMemory(memory_key=memory_key, llm=llm)
-
+    memory = AgentTokenBufferMemory(
+        memory_key=memory_key, llm=llm, chat_memory=message_history
+    )
 
     system_message = SystemMessage(content=(message_for_the_prompt))
 
@@ -70,7 +71,6 @@ def ask_ai(
 
     agent = OpenAIFunctionsAgent(llm=llm, tools=tools, prompt=prompt)
 
-
     agent_executor = AgentExecutor(
         agent=agent,
         tools=tools,
@@ -80,3 +80,21 @@ def ask_ai(
     )
 
     return agent_executor({"input": question})
+
+
+def get_chat_session_history(aichat_uuid: Optional[str] = None):
+    # Init Message History
+    session_id = aichat_uuid if aichat_uuid else f"aichat_{uuid4()}"
+
+    LH_CONFIG = get_learnhouse_config()
+    redis_conn_string = LH_CONFIG.redis_config.redis_connection_string
+
+    if redis_conn_string:
+        message_history = RedisChatMessageHistory(
+            url=redis_conn_string, ttl=2160000, session_id=session_id
+        )
+    else:
+        print("Redis connection string not found, using local memory")
+        message_history = []
+
+    return {"message_history": message_history, "aichat_uuid": session_id}

apps/api/src/services/ai/schemas/ai.py

@@ -5,6 +5,11 @@ class StartActivityAIChatSession(BaseModel):
     activity_uuid: str
     message: str
 
+class ActivityAIChatSessionResponse(BaseModel):
+    aichat_uuid: str
+    activity_uuid: str
+    message: str
+
 
 class SendActivityAIChatMessage(BaseModel):
     aichat_uuid: str

docker-compose.yml

@@ -17,6 +17,11 @@ services:
       - POSTGRES_USER=learnhouse
       - POSTGRES_PASSWORD=learnhouse
       - POSTGRES_DB=learnhouse
+  redis:
+    image: redis:7.2.3
+    restart: always
+    ports:
+      - "6379:6379"
   mongo:
     image: mongo:5.0
     restart: always