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#1	{
#2	"cells": [
#3	{
#4	"cell_type": "code",
#5	"execution_count": 1,
#6	"metadata": {},
#7	"outputs": [],
#8	"source": [
#9	"import os\n",
#10	"from typing import List, Dict\n",
#11	"from mem0 import Memory\n",
#12	"from datetime import datetime\n",
#13	"import anthropic\n",
#14	"\n",
#15	"# Set up environment variables\n",
#16	"os.environ[\"OPENAI_API_KEY\"] = \"your_openai_api_key\" # needed for embedding model\n",
#17	"os.environ[\"ANTHROPIC_API_KEY\"] = \"your_anthropic_api_key\""
#18	]
#19	},
#20	{
#21	"cell_type": "code",
#22	"execution_count": 2,
#23	"metadata": {},
#24	"outputs": [],
#25	"source": [
#26	"class SupportChatbot:\n",
#27	" def __init__(self):\n",
#28	" # Initialize Mem0 with Anthropic's Claude\n",
#29	" self.config = {\n",
#30	" \"llm\": {\n",
#31	" \"provider\": \"anthropic\",\n",
#32	" \"config\": {\n",
#33	" \"model\": \"claude-3-5-sonnet-latest\",\n",
#34	" \"temperature\": 0.1,\n",
#35	" \"max_tokens\": 2000,\n",
#36	" },\n",
#37	" }\n",
#38	" }\n",
#39	" self.client = anthropic.Client(api_key=os.environ[\"ANTHROPIC_API_KEY\"])\n",
#40	" self.memory = Memory.from_config(self.config)\n",
#41	"\n",
#42	" # Define support context\n",
#43	" self.system_context = \"\"\"\n",
#44	" You are a helpful customer support agent. Use the following guidelines:\n",
#45	" - Be polite and professional\n",
#46	" - Show empathy for customer issues\n",
#47	" - Reference past interactions when relevant\n",
#48	" - Maintain consistent information across conversations\n",
#49	" - If you're unsure about something, ask for clarification\n",
#50	" - Keep track of open issues and follow-ups\n",
#51	" \"\"\"\n",
#52	"\n",
#53	" def store_customer_interaction(self, user_id: str, message: str, response: str, metadata: Dict = None):\n",
#54	" \"\"\"Store customer interaction in memory.\"\"\"\n",
#55	" if metadata is None:\n",
#56	" metadata = {}\n",
#57	"\n",
#58	" # Add timestamp to metadata\n",
#59	" metadata[\"timestamp\"] = datetime.now().isoformat()\n",
#60	"\n",
#61	" # Format conversation for storage\n",
#62	" conversation = [{\"role\": \"user\", \"content\": message}, {\"role\": \"assistant\", \"content\": response}]\n",
#63	"\n",
#64	" # Store in Mem0\n",
#65	" self.memory.add(conversation, user_id=user_id, metadata=metadata)\n",
#66	"\n",
#67	" def get_relevant_history(self, user_id: str, query: str) -> List[Dict]:\n",
#68	" \"\"\"Retrieve relevant past interactions.\"\"\"\n",
#69	" return self.memory.search(\n",
#70	" query=query,\n",
#71	" user_id=user_id,\n",
#72	" limit=5, # Adjust based on needs\n",
#73	" )\n",
#74	"\n",
#75	" def handle_customer_query(self, user_id: str, query: str) -> str:\n",
#76	" \"\"\"Process customer query with context from past interactions.\"\"\"\n",
#77	"\n",
#78	" # Get relevant past interactions\n",
#79	" relevant_history = self.get_relevant_history(user_id, query)\n",
#80	"\n",
#81	" # Build context from relevant history\n",
#82	" context = \"Previous relevant interactions:\\n\"\n",
#83	" for memory in relevant_history:\n",
#84	" context += f\"Customer: {memory['memory']}\\n\"\n",
#85	" context += f\"Support: {memory['memory']}\\n\"\n",
#86	" context += \"---\\n\"\n",
#87	"\n",
#88	" # Prepare prompt with context and current query\n",
#89	" prompt = f\"\"\"\n",
#90	" {self.system_context}\n",
#91	"\n",
#92	" {context}\n",
#93	"\n",
#94	" Current customer query: {query}\n",
#95	"\n",
#96	" Provide a helpful response that takes into account any relevant past interactions.\n",
#97	" \"\"\"\n",
#98	"\n",
#99	" # Generate response using Claude\n",
#100	" response = self.client.messages.create(\n",
#101	" model=\"claude-3-5-sonnet-latest\",\n",
#102	" messages=[{\"role\": \"user\", \"content\": prompt}],\n",
#103	" max_tokens=2000,\n",
#104	" temperature=0.1,\n",
#105	" )\n",
#106	"\n",
#107	" # Store interaction\n",
#108	" self.store_customer_interaction(\n",
#109	" user_id=user_id, message=query, response=response, metadata={\"type\": \"support_query\"}\n",
#110	" )\n",
#111	"\n",
#112	" return response.content[0].text"
#113	]
#114	},
#115	{
#116	"cell_type": "code",
#117	"execution_count": 3,
#118	"metadata": {},
#119	"outputs": [
#120	{
#121	"name": "stdout",
#122	"output_type": "stream",
#123	"text": [
#124	"Welcome to Customer Support! Type 'exit' to end the conversation.\n",
#125	"Customer: Hi, I'm having trouble connecting my new smartwatch to the mobile app. It keeps showing a connection error.\n"
#126	]
#127	},
#128	{
#129	"name": "stderr",
#130	"output_type": "stream",
#131	"text": [
#132	"/var/folders/5x/9kmqjfm947g5yh44m7fjk75r0000gn/T/ipykernel_99777/1076713094.py:55: DeprecationWarning: The current get_all API output format is deprecated. To use the latest format, set `api_version='v1.1'`. The current format will be removed in mem0ai 1.1.0 and later versions.\n",
#133	" return self.memory.search(\n",
#134	"/var/folders/5x/9kmqjfm947g5yh44m7fjk75r0000gn/T/ipykernel_99777/1076713094.py:47: DeprecationWarning: The current add API output format is deprecated. To use the latest format, set `api_version='v1.1'`. The current format will be removed in mem0ai 1.1.0 and later versions.\n",
#135	" self.memory.add(\n"
#136	]
#137	},
#138	{
#139	"name": "stdout",
#140	"output_type": "stream",
#141	"text": [
#142	"Support: Hello! Thank you for reaching out about the connection issue with your smartwatch. I understand how frustrating it can be when a new device won't connect properly. I'll be happy to help you resolve this.\n",
#143	"\n",
#144	"To better assist you, could you please provide me with:\n",
#145	"1. The model of your smartwatch\n",
#146	"2. The type of phone you're using (iOS or Android)\n",
#147	"3. Whether you've already installed the companion app on your phone\n",
#148	"4. If you've tried pairing the devices before\n",
#149	"\n",
#150	"These details will help me provide you with the most accurate troubleshooting steps. In the meantime, here are some general tips that might help:\n",
#151	"- Make sure Bluetooth is enabled on your phone\n",
#152	"- Keep your smartwatch and phone within close range (within 3 feet) during pairing\n",
#153	"- Ensure both devices have sufficient battery power\n",
#154	"- Check if your phone's operating system meets the minimum requirements for the smartwatch\n",
#155	"\n",
#156	"Please provide the requested information, and I'll guide you through the specific steps to resolve the connection error.\n",
#157	"\n",
#158	"Is there anything else you'd like to share about the issue? \n",
#159	"\n",
#160	"\n",
#161	"Customer: The connection issue is still happening even after trying the steps you suggested.\n",
#162	"Support: I apologize that you're still experiencing connection issues with your smartwatch. I understand how frustrating it must be to have this problem persist even after trying the initial troubleshooting steps. Let's try some additional solutions to resolve this.\n",
#163	"\n",
#164	"Before we proceed, could you please confirm:\n",
#165	"1. Which specific steps you've already attempted?\n",
#166	"2. Are you seeing any particular error message?\n",
#167	"3. What model of smartwatch and phone are you using?\n",
#168	"\n",
#169	"This information will help me provide more targeted solutions and avoid suggesting steps you've already tried. In the meantime, here are a few advanced troubleshooting steps we can consider:\n",
#170	"\n",
#171	"1. Completely resetting the Bluetooth connection\n",
#172	"2. Checking for any software updates for both the watch and phone\n",
#173	"3. Testing the connection with a different mobile device to isolate the issue\n",
#174	"\n",
#175	"Would you be able to provide those details so I can better assist you? I'll make sure to document this ongoing issue to help track its resolution. \n",
#176	"\n",
#177	"\n",
#178	"Customer: exit\n",
#179	"Thank you for using our support service. Goodbye!\n"
#180	]
#181	}
#182	],
#183	"source": [
#184	"chatbot = SupportChatbot()\n",
#185	"user_id = \"customer_bot\"\n",
#186	"print(\"Welcome to Customer Support! Type 'exit' to end the conversation.\")\n",
#187	"\n",
#188	"while True:\n",
#189	" # Get user input\n",
#190	" query = input()\n",
#191	" print(\"Customer:\", query)\n",
#192	"\n",
#193	" # Check if user wants to exit\n",
#194	" if query.lower() == \"exit\":\n",
#195	" print(\"Thank you for using our support service. Goodbye!\")\n",
#196	" break\n",
#197	"\n",
#198	" # Handle the query and print the response\n",
#199	" response = chatbot.handle_customer_query(user_id, query)\n",
#200	" print(\"Support:\", response, \"\\n\\n\")"
#201	]
#202	}
#203	],
#204	"metadata": {
#205	"kernelspec": {
#206	"display_name": ".venv",
#207	"language": "python",
#208	"name": "python3"
#209	},
#210	"language_info": {
#211	"codemirror_mode": {
#212	"name": "ipython",
#213	"version": 3
#214	},
#215	"file_extension": ".py",
#216	"mimetype": "text/x-python",
#217	"name": "python",
#218	"nbconvert_exporter": "python",
#219	"pygments_lexer": "ipython3",
#220	"version": "3.12.4"
#221	}
#222	},
#223	"nbformat": 4,
#224	"nbformat_minor": 2
#225	}
#226

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