{
"cells": [
{
"cell_type": "markdown",
"id": "94f95a57",
"metadata": {},
"source": [
"# Fitness Assistant Demo - OpenSearch Agentic Memory with LangGraph"
]
},
{
"cell_type": "markdown",
"id": "09544c58",
"metadata": {},
"source": [
"## Introduction"
]
},
{
"cell_type": "markdown",
"id": "465b14bd",
"metadata": {},
"source": [
"This notebook demonstrates how to build an intelligent fitness assistant using OpenSearch's agentic memory capabilities integrated with LangGraph. The fitness assistant showcases **long-term memory** functionality, enabling it to remember user preferences, past conversations, and fitness history across multiple sessions."
]
},
{
"cell_type": "markdown",
"id": "c0144909",
"metadata": {},
"source": [
"### Key Features"
]
},
{
"cell_type": "markdown",
"id": "31a78169",
"metadata": {},
"source": [
"- **Persistent Memory**: Remembers user fitness goals, workout preferences, and progress across sessions\n",
"- **Semantic Search**: Retrieves relevant memories based on context and meaning\n",
"- **Fitness Intelligence**: Provides personalized workout recommendations based on past interactions\n",
"- **Session Continuity**: Maintains context even when conversations are resumed later"
]
},
{
"cell_type": "markdown",
"id": "39fe07e8",
"metadata": {},
"source": [
"### What You'll Learn"
]
},
{
"cell_type": "markdown",
"id": "5f012d47",
"metadata": {},
"source": [
"- How to set up OpenSearch agentic memory for long-term storage\n",
"- Integration patterns between LangGraph and OpenSearch\n",
"- Building conversational AI that learns and remembers user fitness preferences\n",
"- Implementing semantic memory retrieval for personalized fitness experiences"
]
},
{
"cell_type": "markdown",
"id": "767062e5",
"metadata": {},
"source": [
"## Prerequisites"
]
},
{
"cell_type": "markdown",
"id": "d66a0728",
"metadata": {},
"source": [
"To use this notebook, you'll need:\n",
"- Python 3.10+\n",
"- OpenSearch 3.3.2+\n",
"- AWS Credentials for Amazon Bedrock access"
]
},
{
"cell_type": "markdown",
"id": "dccd25ab",
"metadata": {},
"source": [
"## Step 1: Install Dependencies and Setup"
]
},
{
"cell_type": "markdown",
"id": "4d64dfa3",
"metadata": {},
"source": [
"Install dependencies:"
]
},
{
"cell_type": "code",
"execution_count": 59,
"id": "71bd19de",
"metadata": {},
"outputs": [],
"source": [
"!pip install -qr ../requirements.txt"
]
},
{
"cell_type": "markdown",
"id": "2186f329",
"metadata": {},
"source": [
"Set OpenSearch domain configuration:"
]
},
{
"cell_type": "code",
"execution_count": 60,
"id": "f83c464d",
"metadata": {},
"outputs": [],
"source": [
"opensearch_url = 'https://localhost:9200'\n",
"opensearch_username = 'admin'\n",
"opensearch_password = 'your_opensearch_password'\n",
"opensearch_verify_ssl = False"
]
},
{
"cell_type": "markdown",
"id": "94368f1d",
"metadata": {},
"source": [
"Set model configuration:"
]
},
{
"cell_type": "code",
"execution_count": 61,
"id": "f6489fff",
"metadata": {},
"outputs": [],
"source": [
"embedding_model_id = '' # Leave empty to auto-create Amazon Titan Embedding model\n",
"llm_model_id = '' # Leave empty to auto-create Amazon Bedrock Claude model\n",
"bedrock_model_id= 'global.anthropic.claude-opus-4-5-20251101-v1:0' # Modify as needed"
]
},
{
"cell_type": "markdown",
"id": "4d372cc4",
"metadata": {},
"source": [
"Set memory and session configuration:"
]
},
{
"cell_type": "code",
"execution_count": 62,
"id": "2064f4ba",
"metadata": {},
"outputs": [],
"source": [
"# Modify as needed\n",
"memory_container_name = 'fitness_memory'\n",
"session_id = 'fitness_session' \n",
"user_id = 'fitness_user'\n",
"agent_id = 'fitness_agent'"
]
},
{
"cell_type": "markdown",
"id": "73097f87",
"metadata": {},
"source": [
"Set AWS credentials (Required for Amazon Bedrock access):"
]
},
{
"cell_type": "code",
"execution_count": 63,
"id": "3b1d7943",
"metadata": {},
"outputs": [],
"source": [
"import os\n",
"\n",
"os.environ['AWS_REGION'] = os.getenv('AWS_REGION', 'your_aws_region')\n",
"os.environ['AWS_ACCESS_KEY_ID'] = os.getenv('AWS_ACCESS_KEY_ID', 'your_access_key')\n",
"os.environ['AWS_SECRET_ACCESS_KEY'] = os.getenv('AWS_SECRET_ACCESS_KEY', 'your_secret_key')\n",
"os.environ['AWS_SESSION_TOKEN'] = os.getenv('AWS_SESSION_TOKEN', '') # Optional"
]
},
{
"cell_type": "markdown",
"id": "ca5821d6",
"metadata": {},
"source": [
"## Step 2: Initialize Memory Provider"
]
},
{
"cell_type": "code",
"execution_count": 64,
"id": "1de9471d",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Created embedding model with id 'a4WU65oBr_9DzEod77fM'\n",
"Created LLM model with id 'bYWU65oBr_9DzEod8LeS'\n",
"Created memory container with id 'b4WU65oBr_9DzEod8LfP'\n"
]
}
],
"source": [
"import urllib3\n",
"import sys\n",
"\n",
"sys.path.append('..')\n",
"from commons.opensearch_memory_tool import OpenSearchMemoryToolProvider\n",
"\n",
"urllib3.disable_warnings(urllib3.exceptions.InsecureRequestWarning)\n",
"\n",
"\n",
"memory_provider = OpenSearchMemoryToolProvider(\n",
" cluster_url=opensearch_url,\n",
" username=opensearch_username,\n",
" password=opensearch_password,\n",
" verify_ssl=opensearch_verify_ssl,\n",
" memory_container_name=memory_container_name,\n",
" session_id=session_id,\n",
" agent_id=agent_id,\n",
" user_id=user_id,\n",
" embedding_model_id=embedding_model_id,\n",
" llm_id=llm_model_id\n",
")"
]
},
{
"cell_type": "markdown",
"id": "d9403bcf",
"metadata": {},
"source": [
"## Step 3: Setup OpenSearch Checkpointer"
]
},
{
"cell_type": "code",
"execution_count": 65,
"id": "268f80a6-866c-4a72-9568-09fd19376035",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Setting up OpenSearch checkpointer...\n",
"โ
Use memory container with ID: b4WU65oBr_9DzEod8LfP\n"
]
}
],
"source": [
"from opensearch_checkpoint_saver import OpenSearchSaver\n",
"\n",
"print(\"Setting up OpenSearch checkpointer...\")\n",
"checkpointer = OpenSearchSaver(\n",
" base_url=opensearch_url,\n",
" memory_container_id=memory_provider.memory.memory_container_id,\n",
" auth=(opensearch_username, opensearch_password),\n",
" verify_ssl=opensearch_verify_ssl,\n",
")\n",
"print(f\"โ
Use memory container with ID: {memory_provider.memory.memory_container_id}\")"
]
},
{
"cell_type": "markdown",
"id": "c31ca587-d334-47d5-a899-ea03c97871cc",
"metadata": {},
"source": [
"## Step 4: Create Chatbot"
]
},
{
"cell_type": "code",
"execution_count": 66,
"id": "22623829-886e-4e13-a07a-448fb9363946",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Creating chatbot...\n",
"โ
Chatbot ready\n"
]
}
],
"source": [
"from langchain_aws import ChatBedrock\n",
"from langgraph.graph import StateGraph, MessagesState, START, END\n",
"from langgraph.prebuilt import ToolNode\n",
"\n",
"def create_chatbot(checkpointer, memory_tools):\n",
" \"\"\"Create a minimal chatbot with checkpoint support.\"\"\"\n",
" \n",
" model = ChatBedrock(\n",
" model_id=bedrock_model_id,\n",
" region_name=os.getenv('AWS_REGION'),\n",
" model_kwargs={\"temperature\": 0.7, \"max_tokens\": 1024}\n",
" )\n",
" \n",
" model_with_tools = model.bind_tools(memory_tools)\n",
"\n",
" def chat_node(state: MessagesState):\n",
" messages = state[\"messages\"]\n",
" if not any(isinstance(msg, SystemMessage) for msg in messages):\n",
" system_msg = SystemMessage(content=\"\"\"You are a professional fitness coach with access to client memory.\n",
" Always store important client information (fitness goals, workout preferences, injuries, restrictions, progress) using the opensearch_memory tool.\n",
" When clients return, search your memory to provide personalized fitness recommendations and track their progress.\n",
" Focus on safe, effective workouts tailored to each client's fitness level and limitations.\"\"\")\n",
" messages = [system_msg] + messages\n",
" return {\"messages\": [model_with_tools.invoke(messages)]}\n",
"\n",
" def should_continue(state: MessagesState):\n",
" messages = state['messages']\n",
" last_message = messages[-1]\n",
" if last_message.tool_calls:\n",
" return \"tools\"\n",
" return END\n",
" \n",
" graph = StateGraph(MessagesState)\n",
" graph.add_node(\"chat\", chat_node)\n",
" graph.add_node(\"tools\", ToolNode(memory_tools))\n",
" \n",
" graph.add_edge(START, \"chat\")\n",
" graph.add_conditional_edges(\"chat\", should_continue)\n",
" graph.add_edge(\"tools\", \"chat\")\n",
" \n",
" return graph.compile(checkpointer=checkpointer)\n",
" \n",
"print(\"Creating chatbot...\")\n",
"app = create_chatbot(checkpointer, memory_provider.tools)\n",
"print(\"โ
Chatbot ready\")"
]
},
{
"cell_type": "markdown",
"id": "4a39982e-bd19-490d-93d8-e497229e98c1",
"metadata": {},
"source": [
"## Step 5: Create Fitness Agent Assistant with Long-term Memory"
]
},
{
"cell_type": "code",
"execution_count": 67,
"id": "eb3f2b1c-8d94-4f51-9a76-0de0118104bb",
"metadata": {},
"outputs": [],
"source": [
"from datetime import datetime\n",
"from langchain_core.messages import HumanMessage, SystemMessage\n",
"\n",
"def find_existing_thread(container_id: str, user_prefix: str = \"demo_\") -> str:\n",
" \"\"\"Find the most recent thread ID for this user.\"\"\"\n",
" import requests\n",
" \n",
" auth = (opensearch_username, opensearch_password)\n",
" url = f\"{opensearch_url}/_plugins/_ml/memory_containers/{container_id}/memories/working/_search\"\n",
" \n",
" body = {\n",
" \"query\": {\n",
" \"bool\": {\n",
" \"filter\": [\n",
" {\"term\": {\"payload_type\": \"data\"}},\n",
" {\"term\": {\"metadata.type\": \"checkpoint\"}},\n",
" {\"wildcard\": {\"namespace.thread_id\": f\"{user_prefix}*\"}}\n",
" ]\n",
" }\n",
" },\n",
" \"sort\": [{\"checkpoint_id\": {\"order\": \"desc\"}}],\n",
" \"size\": 1\n",
" }\n",
" \n",
" try:\n",
" response = requests.post(url, json=body, auth=auth, verify=opensearch_verify_ssl)\n",
" response.raise_for_status()\n",
" data = response.json()\n",
" \n",
" hits = data.get(\"hits\", {}).get(\"hits\", [])\n",
" if hits:\n",
" return hits[0][\"_source\"][\"namespace\"][\"thread_id\"]\n",
" return None\n",
" except Exception:\n",
" return None\n",
"\n",
"def send_message(app, thread_id: str, message: str):\n",
" \"\"\"Send a message and return the response.\"\"\"\n",
" config = {\"configurable\": {\"thread_id\": thread_id}}\n",
" result = app.invoke({\"messages\": [HumanMessage(content=message)]}, config)\n",
" return result[\"messages\"][-1].content\n",
"\n",
"\n",
"def get_message_count(app, thread_id: str) -> int:\n",
" \"\"\"Get the number of messages in the conversation.\"\"\"\n",
" config = {\"configurable\": {\"thread_id\": thread_id}}\n",
" state = app.get_state(config)\n",
" if state and state.values:\n",
" return len(state.values.get(\"messages\", []))\n",
" return 0\n",
"\n",
"def start_fitness_session(session_name):\n",
" \"\"\"Start a fitness agent conversation session\"\"\"\n",
"\n",
" # Check for existing threads\n",
" existing_thread = find_existing_thread(memory_provider.memory.memory_container_id)\n",
"\n",
" if existing_thread:\n",
" print(f\"Found existing thread: {existing_thread}\")\n",
" choice = input(\"Resume existing conversation? (y/n): \").strip().lower()\n",
" if choice == 'y':\n",
" thread_id = existing_thread\n",
" print(f\"Resuming thread: {thread_id}\")\n",
" else:\n",
" thread_id = f\"demo_{datetime.now().strftime('%Y%m%d_%H%M%S')}\"\n",
" print(f\"Starting new thread: {thread_id}\")\n",
" else:\n",
" thread_id = f\"demo_{datetime.now().strftime('%Y%m%d_%H%M%S')}\"\n",
" print(f\"Starting new thread: {thread_id}\")\n",
"\n",
" print(\"๐ช Fitness Coach Interactive Demo\")\n",
" print(\"Type 'q' or 'quit' to end the conversation\\n\")\n",
" \n",
" while True:\n",
" question = input(\"๐ค You: \").strip()\n",
" \n",
" if question.lower() in ['q', 'quit']:\n",
" print(\"๐ช Fitness Agent: Keep up the great work! I'll remember our progress for next time.\")\n",
" \n",
" # Show session summary\n",
" msg_count = get_message_count(app, thread_id)\n",
" print(\"\\n\" + \"=\" * 70)\n",
" print(f\"\\n๐ Session Summary:\")\n",
" print(f\"Thread ID: {thread_id}\")\n",
" print(f\"Total messages: {msg_count}\")\n",
" print(f\"Session ended: {datetime.now()}\")\n",
" break\n",
" \n",
" if not question:\n",
" continue\n",
" \n",
" response = send_message(app, thread_id, question)\n",
" print(f\"๐ช Fitness Agent: {response}\")\n",
" print()"
]
},
{
"cell_type": "markdown",
"id": "0fc43edd-7684-4c16-995b-d10d8a98dd1b",
"metadata": {},
"source": [
"## Step 6: First Session - Learning User Fitness Preferences and Goals"
]
},
{
"cell_type": "code",
"execution_count": 68,
"id": "d99c7ffa-7a55-4f66-baf5-2505dd9df26f",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Starting new thread: demo_20251204_145652\n",
"๐ช Fitness Coach Interactive Demo\n",
"Type 'q' or 'quit' to end the conversation\n",
"\n"
]
},
{
"name": "stdin",
"output_type": "stream",
"text": [
"๐ค You: Hi, I'm Alex and I want to start getting in shape. I haven't exercised in years.\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"โ ๏ธ No checkpoint found for thread_id=demo_20251204_145652, checkpoint_ns=, checkpoint_id=None\n",
"๐ช Fitness Agent: Hi Alex! Welcome, and congratulations on taking this first step toward getting in shape โ that's a big decision and I'm here to support you every step of the way!\n",
"\n",
"Before we dive in, let me learn a bit more about you so I can create a safe and effective plan. Since you haven't exercised in years, we'll want to start gradually and build a solid foundation.\n",
"\n",
"**A few questions to get started:**\n",
"\n",
"1. **What are your main fitness goals?** (e.g., lose weight, build strength, improve energy/stamina, general health, etc.)\n",
"\n",
"2. **Do you have any injuries, health conditions, or physical limitations** I should know about? (e.g., back pain, knee issues, high blood pressure, etc.)\n",
"\n",
"3. **What's your current activity level like?** (desk job, on your feet all day, etc.)\n",
"\n",
"4. **Do you have access to a gym, or would you prefer home workouts?** Any equipment available?\n",
"\n",
"5. **How many days per week** do you think you could realistically commit to exercise?\n",
"\n",
"6. **Are there any types of exercise you enjoy** or have enjoyed in the past? (walking, swimming, cycling, dancing, sports, etc.)\n",
"\n",
"Take your time answering โ the more I know, the better I can tailor a program that works for YOU and sets you up for long-term success! ๐ช\n",
"\n"
]
},
{
"name": "stdin",
"output_type": "stream",
"text": [
"๐ค You: I want to lose about 20 pounds and build some muscle. I have a bad knee from an old sports injury, so I need to be careful with high-impact exercises. I can probably work out 3-4 times per week.\n"
]
},
{
"data": {
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"โญโโโโโโโโโโโโโโโโโโโโโ Add long-term memory for session fitness_session, agent fitness_agent โโโโโโโโโโโโโโโโโโโโโโฎ\n",
"โ New client Alex - Starting fitness journey after years without exercise. Goals: Lose 20 pounds and build โ\n",
"โ muscle. Has a bad knee from old sports injury - must avoid high-impact exercises. Available to workout 3-4 โ\n",
"โ times per week. Fitness level: Beginner. Start date: January 2025. โ\n",
"โฐโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโฏ\n",
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"โ โ
Memory stored successfully: โ\n",
"โ ๐ Memory ID: ioWW65oBr_9DzEodCbdU โ\n",
"โฐโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโฏ\n",
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Memory stored successfully: \u001b[32mโ\u001b[0m\n",
"\u001b[32mโ\u001b[0m ๐ Memory ID: ioWW65oBr_9DzEodCbdU \u001b[32mโ\u001b[0m\n",
"\u001b[32mโฐโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโฏ\u001b[0m\n"
]
},
"metadata": {},
"output_type": "display_data"
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"name": "stdout",
"output_type": "stream",
"text": [
"๐ช Fitness Agent: I've got all your details saved. Here's what I recommend for your **Beginner Program**:\n",
"\n",
"---\n",
"\n",
"## ๐๏ธ Alex's Starter Plan (3-4 Days/Week)\n",
"\n",
"### **Workout Structure:**\n",
"- **2 Strength Days** (build muscle, boost metabolism)\n",
"- **1-2 Cardio Days** (low-impact fat burning)\n",
"\n",
"### **Knee-Friendly Exercises We'll Focus On:**\n",
"\n",
"**Strength Training:**\n",
"- โ
Seated or lying leg exercises (leg extensions, hamstring curls)\n",
"- โ
Upper body work (push-ups, rows, shoulder press)\n",
"- โ
Core exercises (planks, dead bugs, bird dogs)\n",
"- โ
Glute bridges & hip thrusts\n",
"- โ
Wall sits (partial range if needed)\n",
"\n",
"**Low-Impact Cardio:**\n",
"- โ
Swimming or water aerobics (excellent for bad knees!)\n",
"- โ
Stationary cycling\n",
"- โ
Elliptical machine\n",
"- โ
Walking (flat surfaces)\n",
"- โ
Rowing machine\n",
"\n",
"### **Exercises We'll Avoid/Modify:**\n",
"- โ Running/jogging\n",
"- โ Jump squats, box jumps, burpees\n",
"- โ Deep lunges or full squats (we can do partial range)\n",
"- โ High-impact aerobics\n",
"\n",
"---\n",
"\n",
"### **Quick Questions:**\n",
"1. **Do you have gym access** or will you be working out at home?\n",
"2. **Any equipment at home?** (dumbbells, resistance bands, etc.)\n",
"\n",
"Once I know this, I can write out your specific weekly workout schedule! ๐ฏ\n",
"\n"
]
},
{
"name": "stdin",
"output_type": "stream",
"text": [
"๐ค You: I have a gym membership that I can use 3-4 times per week. At home, I have a set of adjustable dumbbells (5-50 lbs), resistance bands, and a yoga mat. I also have a pull-up bar in my doorway.\n"
]
},
{
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"โญโโโโโโโโโโโโโโโโโโโโโ Add long-term memory for session fitness_session, agent fitness_agent โโโโโโโโโโโโโโโโโโโโโโฎ\n",
"โ Alex has gym membership (can use 3-4 times per week). Home equipment: adjustable dumbbells (5-50 lbs), โ\n",
"โ resistance bands, yoga mat, and doorway pull-up bar. Great equipment setup for hybrid gym/home training โ\n",
"โ program. โ\n",
"โฐโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโฏ\n",
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"\u001b[32mโญโ\u001b[0m\u001b[32mโโโโโโโโโโโโโโโโโโโโ\u001b[0m\u001b[32m \u001b[0m\u001b[1;32mAdd long-term memory for session fitness_session, agent fitness_agent\u001b[0m\u001b[32m \u001b[0m\u001b[32mโโโโโโโโโโโโโโโโโโโโ\u001b[0m\u001b[32mโโฎ\u001b[0m\n",
"\u001b[32mโ\u001b[0m Alex has gym membership (can use 3-4 times per week). Home equipment: adjustable dumbbells (5-50 lbs), \u001b[32mโ\u001b[0m\n",
"\u001b[32mโ\u001b[0m resistance bands, yoga mat, and doorway pull-up bar. Great equipment setup for hybrid gym/home training \u001b[32mโ\u001b[0m\n",
"\u001b[32mโ\u001b[0m program. \u001b[32mโ\u001b[0m\n",
"\u001b[32mโฐโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโฏ\u001b[0m\n"
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"โญโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ Memory Stored โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโฎ\n",
"โ โ
Memory stored successfully: โ\n",
"โ ๐ Memory ID: ooWX65oBr_9DzEodZLeg โ\n",
"โฐโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโฏ\n",
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"\u001b[32mโ\u001b[0m โ
Memory stored successfully: \u001b[32mโ\u001b[0m\n",
"\u001b[32mโ\u001b[0m ๐ Memory ID: ooWX65oBr_9DzEodZLeg \u001b[32mโ\u001b[0m\n",
"\u001b[32mโฐโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโฏ\u001b[0m\n"
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"text": [
"๐ช Fitness Agent: Here's your personalized weekly workout plan:\n",
"\n",
"---\n",
"\n",
"## ๐ช Alex's 4-Week Starter Program\n",
"\n",
"### **Weekly Schedule:**\n",
"\n",
"| Day | Workout | Location |\n",
"|-----|---------|----------|\n",
"| **Day 1** | Upper Body Strength | Gym |\n",
"| **Day 2** | Rest or Light Walk | โ |\n",
"| **Day 3** | Lower Body Strength (Knee-Safe) | Gym |\n",
"| **Day 4** | Rest | โ |\n",
"| **Day 5** | Full Body + Core | Home |\n",
"| **Day 6** | Low-Impact Cardio | Gym |\n",
"| **Day 7** | Rest | โ |\n",
"\n",
"---\n",
"\n",
"### **DAY 1: Upper Body (Gym)**\n",
"| Exercise | Sets | Reps | Notes |\n",
"|----------|------|------|-------|\n",
"| Lat Pulldown | 3 | 10-12 | Control the movement |\n",
"| Seated Cable Row | 3 | 10-12 | Squeeze shoulder blades |\n",
"| Chest Press Machine | 3 | 10-12 | Or dumbbell bench press |\n",
"| Seated Shoulder Press | 3 | 10-12 | Dumbbells or machine |\n",
"| Bicep Curls | 2 | 12 | Dumbbells |\n",
"| Tricep Pushdowns | 2 | 12 | Cable machine |\n",
"\n",
"---\n",
"\n",
"### **DAY 3: Lower Body โ Knee-Safe (Gym)**\n",
"| Exercise | Sets | Reps | Notes |\n",
"|----------|------|------|-------|\n",
"| Leg Press | 3 | 12 | Partial range, don't go too deep |\n",
"| Leg Curl Machine | 3 | 12 | Hamstrings |\n",
"| Leg Extension | 3 | 12 | Light weight, control |\n",
"| Glute Bridge (weighted) | 3 | 15 | Barbell or dumbbell on hips |\n",
"| Calf Raises | 3 | 15 | Seated or standing |\n",
"| Seated Hip Abduction | 2 | 15 | Machine |\n",
"\n",
"---\n",
"\n",
"### **DAY 5: Full Body + Core (Home)**\n",
"| Exercise | Sets | Reps | Notes |\n",
"|----------|------|------|-------|\n",
"| Goblet Squats | 3 | 10 | Partial depth, protect knee |\n",
"| Dumbbell Romanian Deadlift | 3 | 12 | Great for hamstrings/glutes |\n",
"| Push-Ups | 3 | 8-12 | On knees if needed |\n",
"| Dumbbell Rows | 3 | 10 each | One arm at a time |\n",
"| Dead Bugs | 3 | 10 each | Core stability |\n",
"| Plank | 3 | 20-30 sec | Build up over time |\n",
"| Band Pull-Aparts | 2 | 15 | Posture & shoulders |\n",
"\n",
"---\n",
"\n",
"### **DAY 6: Low-Impact Cardio (Gym)**\n",
"Choose ONE:\n",
"- ๐ด **Stationary Bike:** 25-30 min, moderate pace\n",
"- ๐ **Swimming:** 20-30 min laps or water walking\n",
"- ๐ฃ **Rowing Machine:** 15-20 min intervals\n",
"- โญ **Elliptical:** 25-30 min\n",
"\n",
"---\n",
"\n",
"## ๐ Key Guidelines:\n",
"\n",
"1. **Start light** โ Focus on form first, increase weight gradually\n",
"2. **Warm up** โ 5 min light cardio before every session\n",
"3. **Listen to your knee** โ If something hurts, stop and modify\n",
"4. **Rest between sets** โ 60-90 seconds\n",
"5. **Stay hydrated** โ Aim for water throughout the day\n",
"\n",
"---\n",
"\n",
"### **Ready to Start?**\n",
"\n",
"Would you like me to:\n",
"- ๐ Provide more detail on any specific exercise?\n",
"- ๐ Discuss basic nutrition tips to support your 20 lb weight loss goal?\n",
"- ๐
Set a check-in schedule to track your progress?\n",
"\n",
"Let's get you moving, Alex! ๐ฏ๐ฅ\n",
"\n"
]
},
{
"name": "stdin",
"output_type": "stream",
"text": [
"๐ค You: q\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"๐ช Fitness Agent: Keep up the great work! I'll remember our progress for next time.\n",
"\n",
"======================================================================\n",
"\n",
"๐ Session Summary:\n",
"Thread ID: demo_20251204_145652\n",
"Total messages: 10\n",
"Session ended: 2025-12-04 15:00:05.076484\n"
]
}
],
"source": [
"# Conversation where user shares fitness preferences and goals\n",
"start_fitness_session(session_id)"
]
},
{
"cell_type": "markdown",
"id": "ea9bca1f-d4b0-4f0e-914c-2330aee973f3",
"metadata": {},
"source": [
"## Step 7: New Session - Demonstrating Memory Recall"
]
},
{
"cell_type": "code",
"execution_count": 69,
"id": "b7e9ced4-381c-49af-add8-897cc26a9e0d",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Found existing thread: demo_20251204_145652\n"
]
},
{
"name": "stdin",
"output_type": "stream",
"text": [
"Resume existing conversation? (y/n): n\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Starting new thread: demo_20251204_150036\n",
"๐ช Fitness Coach Interactive Demo\n",
"Type 'q' or 'quit' to end the conversation\n",
"\n"
]
},
{
"name": "stdin",
"output_type": "stream",
"text": [
"๐ค You: Hi, it's Alex again. I wanted to check in about my workout plan.\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"โ ๏ธ No checkpoint found for thread_id=demo_20251204_150036, checkpoint_ns=, checkpoint_id=None\n"
]
},
{
"data": {
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"โญโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ Search Results โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโฎ\n",
"โ Long term memories โ\n",
"โ โโโโโโโโโโโโโโโโโโโโโโโโณโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ โ\n",
"โ โ Memory ID โ Content โ โ\n",
"โ โกโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโฉ โ\n",
"โ โ p4WX65oBr_9DzEodjrdQ โ Alex has home equipment including adjustable โ โ\n",
"โ โ โ dumbbells (5-50 lbs), resistance bands, a yoga โ โ\n",
"โ โ โ mat, and... โ โ\n",
"โ โ kIWW65oBr_9DzEodHbfl โ New client Alex is starting a fitness journey โ โ\n",
"โ โ โ after years without exercise in January 2025. โ โ\n",
"โ โ kYWW65oBr_9DzEodHbfl โ Alex's fitness goals are to lose 20 pounds and โ โ\n",
"โ โ โ build muscle. โ โ\n",
"โ โ koWW65oBr_9DzEodHbfl โ Alex has a bad knee from an old sports injury and โ โ\n",
"โ โ โ must avoid high-impact exercises. โ โ\n",
"โ โ lIWW65oBr_9DzEodHbfl โ Alex's fitness level is beginner. โ โ\n",
"โ โ k4WW65oBr_9DzEodHbfl โ Alex has a gym membership and is available to โ โ\n",
"โ โ โ workout 3-4 times per week, suitable for a hybrid โ โ\n",
"โ โ โ gym ... โ โ\n",
"โ โโโโโโโโโโโโโโโโโโโโโโโโดโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ โ\n",
"โฐโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโฏ\n",
"\n"
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"\u001b[32mโ\u001b[0m \u001b[3m Long term memories \u001b[0m \u001b[32mโ\u001b[0m\n",
"\u001b[32mโ\u001b[0m โโโโโโโโโโโโโโโโโโโโโโโโณโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ \u001b[32mโ\u001b[0m\n",
"\u001b[32mโ\u001b[0m โ\u001b[1;35m \u001b[0m\u001b[1;35mMemory ID \u001b[0m\u001b[1;35m \u001b[0mโ\u001b[1;35m \u001b[0m\u001b[1;35mContent \u001b[0m\u001b[1;35m \u001b[0mโ \u001b[32mโ\u001b[0m\n",
"\u001b[32mโ\u001b[0m โกโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโฉ \u001b[32mโ\u001b[0m\n",
"\u001b[32mโ\u001b[0m โ\u001b[36m \u001b[0m\u001b[36mp4WX65oBr_9DzEodjrdQ\u001b[0m\u001b[36m \u001b[0mโ\u001b[33m \u001b[0m\u001b[33mAlex has home equipment including adjustable \u001b[0m\u001b[33m \u001b[0mโ \u001b[32mโ\u001b[0m\n",
"\u001b[32mโ\u001b[0m โ\u001b[36m \u001b[0mโ\u001b[33m \u001b[0m\u001b[33mdumbbells (5-50 lbs), resistance bands, a yoga \u001b[0m\u001b[33m \u001b[0mโ \u001b[32mโ\u001b[0m\n",
"\u001b[32mโ\u001b[0m โ\u001b[36m \u001b[0mโ\u001b[33m \u001b[0m\u001b[33mmat, and... \u001b[0m\u001b[33m \u001b[0mโ \u001b[32mโ\u001b[0m\n",
"\u001b[32mโ\u001b[0m โ\u001b[36m \u001b[0m\u001b[36mkIWW65oBr_9DzEodHbfl\u001b[0m\u001b[36m \u001b[0mโ\u001b[33m \u001b[0m\u001b[33mNew client Alex is starting a fitness journey \u001b[0m\u001b[33m \u001b[0mโ \u001b[32mโ\u001b[0m\n",
"\u001b[32mโ\u001b[0m โ\u001b[36m \u001b[0mโ\u001b[33m \u001b[0m\u001b[33mafter years without exercise in January 2025. \u001b[0m\u001b[33m \u001b[0mโ \u001b[32mโ\u001b[0m\n",
"\u001b[32mโ\u001b[0m โ\u001b[36m \u001b[0m\u001b[36mkYWW65oBr_9DzEodHbfl\u001b[0m\u001b[36m \u001b[0mโ\u001b[33m \u001b[0m\u001b[33mAlex's fitness goals are to lose 20 pounds and \u001b[0m\u001b[33m \u001b[0mโ \u001b[32mโ\u001b[0m\n",
"\u001b[32mโ\u001b[0m โ\u001b[36m \u001b[0mโ\u001b[33m \u001b[0m\u001b[33mbuild muscle. \u001b[0m\u001b[33m \u001b[0mโ \u001b[32mโ\u001b[0m\n",
"\u001b[32mโ\u001b[0m โ\u001b[36m \u001b[0m\u001b[36mkoWW65oBr_9DzEodHbfl\u001b[0m\u001b[36m \u001b[0mโ\u001b[33m \u001b[0m\u001b[33mAlex has a bad knee from an old sports injury and \u001b[0m\u001b[33m \u001b[0mโ \u001b[32mโ\u001b[0m\n",
"\u001b[32mโ\u001b[0m โ\u001b[36m \u001b[0mโ\u001b[33m \u001b[0m\u001b[33mmust avoid high-impact exercises. \u001b[0m\u001b[33m \u001b[0mโ \u001b[32mโ\u001b[0m\n",
"\u001b[32mโ\u001b[0m โ\u001b[36m \u001b[0m\u001b[36mlIWW65oBr_9DzEodHbfl\u001b[0m\u001b[36m \u001b[0mโ\u001b[33m \u001b[0m\u001b[33mAlex's fitness level is beginner. \u001b[0m\u001b[33m \u001b[0mโ \u001b[32mโ\u001b[0m\n",
"\u001b[32mโ\u001b[0m โ\u001b[36m \u001b[0m\u001b[36mk4WW65oBr_9DzEodHbfl\u001b[0m\u001b[36m \u001b[0mโ\u001b[33m \u001b[0m\u001b[33mAlex has a gym membership and is available to \u001b[0m\u001b[33m \u001b[0mโ \u001b[32mโ\u001b[0m\n",
"\u001b[32mโ\u001b[0m โ\u001b[36m \u001b[0mโ\u001b[33m \u001b[0m\u001b[33mworkout 3-4 times per week, suitable for a hybrid \u001b[0m\u001b[33m \u001b[0mโ \u001b[32mโ\u001b[0m\n",
"\u001b[32mโ\u001b[0m โ\u001b[36m \u001b[0mโ\u001b[33m \u001b[0m\u001b[33mgym ... \u001b[0m\u001b[33m \u001b[0mโ \u001b[32mโ\u001b[0m\n",
"\u001b[32mโ\u001b[0m โโโโโโโโโโโโโโโโโโโโโโโโดโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ \u001b[32mโ\u001b[0m\n",
"\u001b[32mโฐโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโฏ\u001b[0m\n"
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"๐ช Fitness Agent: Welcome back, Alex! I found all your information. Here's what I have on file:\n",
"\n",
"**Your Profile:**\n",
"- ๐ฏ **Goals:** Lose 20 pounds and build muscle\n",
"- ๐
**Started:** January 2025 (returning after years without exercise)\n",
"- ๐ช **Fitness Level:** Beginner\n",
"- โ ๏ธ **Injury:** Bad knee from an old sports injury - must avoid high-impact exercises\n",
"- ๐๏ธ **Availability:** 3-4 times per week\n",
"- ๐ **Equipment:** \n",
" - Gym membership\n",
" - Home equipment: adjustable dumbbells (5-50 lbs), resistance bands, yoga mat, and doorway pull-up bar\n",
" - Following a hybrid gym/home training program\n",
"\n",
"How can I help you today? Are you looking to:\n",
"1. **Review or adjust your current workout plan?**\n",
"2. **Track progress** on your weight loss or muscle-building goals?\n",
"3. **Get new exercises** that are knee-safe?\n",
"4. **Discuss any challenges** you've been facing?\n",
"5. **Something else?**\n",
"\n",
"Let me know what's on your mind!\n",
"\n"
]
},
{
"name": "stdin",
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"text": [
"๐ค You: My knee feels fine with the gym machines. Can we add some cardio that won't hurt my knee?\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"๐ช Fitness Agent: That's great news that your knee is feeling good with the gym machines! That's a really positive sign of progress.\n",
"\n",
"Absolutely, let's add some knee-friendly cardio options for you. Here are my top recommendations:\n",
"\n",
"## Knee-Safe Cardio Options ๐ซ\n",
"\n",
"### At the Gym:\n",
"1. **Stationary Bike (Recumbent or Upright)** - Excellent choice! Low impact and you control the resistance. Start with 15-20 minutes.\n",
"\n",
"2. **Elliptical Machine** - Smooth, gliding motion that's easy on joints. Keep resistance moderate to start.\n",
"\n",
"3. **Rowing Machine** - Great full-body cardio that's gentle on knees. Focus on pushing through your heels, not pulling with your knees.\n",
"\n",
"4. **Swimming/Water Aerobics** - If your gym has a pool, this is the ultimate zero-impact cardio!\n",
"\n",
"### At Home:\n",
"1. **Seated Cardio** - Arm cycling movements, seated punches, seated marching\n",
"2. **Standing Low-Impact Moves** - Step touches, lateral shuffles, marching in place (no jumping!)\n",
"\n",
"## My Recommendation for You:\n",
"As a beginner, I'd suggest starting with **2 cardio sessions per week, 15-20 minutes each**. The stationary bike or elliptical would be perfect to start.\n",
"\n",
"**โ ๏ธ Avoid:** Running, jumping jacks, burpees, stair climbers, and any high-impact jumping movements.\n",
"\n",
"Would you like me to save this cardio plan to your profile? Also, how many days per week would you like to dedicate to cardio specifically?\n",
"\n"
]
},
{
"name": "stdin",
"output_type": "stream",
"text": [
"๐ค You: Yes, please save that cardio plan! I think 2 days per week is perfect to start with. I'd prefer to do cardio on my non-gym days, so maybe Tuesday and Friday?\n"
]
},
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"โญโโโโโโโโโโโโโโโโโโโโโ Add long-term memory for session fitness_session, agent fitness_agent โโโโโโโโโโโโโโโโโโโโโโฎ\n",
"โ Alex added knee-safe cardio to workout plan: 2 sessions per week on Tuesdays and Fridays (non-gym days). โ\n",
"โ Preferred cardio options include stationary bike, elliptical, rowing machine, and swimming at gym. Home options โ\n",
"โ include seated cardio and low-impact standing moves. Avoiding high-impact cardio like running, jumping jacks, โ\n",
"โ burpees, and stair climbers. Knee is feeling fine with gym machines. โ\n",
"โฐโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโฏ\n",
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"\u001b[32mโ\u001b[0m Alex added knee-safe cardio to workout plan: 2 sessions per week on Tuesdays and Fridays (non-gym days). \u001b[32mโ\u001b[0m\n",
"\u001b[32mโ\u001b[0m Preferred cardio options include stationary bike, elliptical, rowing machine, and swimming at gym. Home options \u001b[32mโ\u001b[0m\n",
"\u001b[32mโ\u001b[0m include seated cardio and low-impact standing moves. Avoiding high-impact cardio like running, jumping jacks, \u001b[32mโ\u001b[0m\n",
"\u001b[32mโ\u001b[0m burpees, and stair climbers. Knee is feeling fine with gym machines. \u001b[32mโ\u001b[0m\n",
"\u001b[32mโฐโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโฏ\u001b[0m\n"
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"๐ช Fitness Agent: I've saved your cardio plan to your profile. Here's your updated schedule:\n",
"\n",
"## Alex's Weekly Workout Schedule ๐
\n",
"\n",
"| Day | Workout |\n",
"|-----|---------|\n",
"| **Monday** | Gym - Strength Training |\n",
"| **Tuesday** | ๐ซ **Cardio Day** (15-20 min) |\n",
"| **Wednesday** | Gym - Strength Training |\n",
"| **Thursday** | Rest / Light Stretching |\n",
"| **Friday** | ๐ซ **Cardio Day** (15-20 min) |\n",
"| **Saturday** | Gym or Home Strength (optional 3rd/4th session) |\n",
"| **Sunday** | Rest |\n",
"\n",
"## Your Tuesday & Friday Cardio Sessions:\n",
"**Choose one:**\n",
"- ๐ด Stationary bike - 15-20 min\n",
"- ๐ Swimming - 15-20 min\n",
"- ๐ฃ Rowing machine - 15-20 min\n",
"- ๐ Home: Seated/low-impact cardio - 15-20 min\n",
"\n",
"**Tip:** Start at a comfortable pace where you can still hold a conversation. As your endurance builds over the next few weeks, we can gradually increase duration to 25-30 minutes.\n",
"\n",
"This is a smart approach, Alex! Separating cardio and strength days gives your muscles time to recover while still keeping you active. Plus, it's sustainable for a beginner schedule.\n",
"\n",
"How has your strength training been going so far? Any exercises you're loving or struggling with?\n",
"\n"
]
},
{
"name": "stdin",
"output_type": "stream",
"text": [
"๐ค You: q\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"๐ช Fitness Agent: Keep up the great work! I'll remember our progress for next time.\n",
"\n",
"======================================================================\n",
"\n",
"๐ Session Summary:\n",
"Thread ID: demo_20251204_150036\n",
"Total messages: 10\n",
"Session ended: 2025-12-04 15:02:59.678901\n"
]
}
],
"source": [
"# Agent will previous conversations from previous conversation\n",
"# Note: The session_id will be different\n",
"start_fitness_session('fitness_session1')"
]
}
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