Add output examples and multion travel agent notebook (#1594)
This commit is contained in:
Dev Khant
306
cookbooks/multion_travel_agent.ipynb
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306
cookbooks/multion_travel_agent.ipynb
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"cells": [
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{
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"cell_type": "code",
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"source": [
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"!pip install mem0ai"
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],
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"metadata": {
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"id": "fu3euPKZsbaC"
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},
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"execution_count": null,
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"outputs": []
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"id": "U2VC_0FElQid"
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},
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"outputs": [],
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"source": [
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"import os\n",
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"from openai import OpenAI\n",
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"from mem0 import MemoryClient\n",
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"from multion.client import MultiOn\n",
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"\n",
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"# Configuration\n",
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"OPENAI_API_KEY = 'sk-xxx' # Replace with your actual OpenAI API key\n",
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"MULTION_API_KEY = 'xx' # Replace with your actual MultiOn API key\n",
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"MEM0_API_KEY = 'xx' # Replace with your actual Mem0 API key\n",
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"USER_ID = \"test_travel_agent\"\n",
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"\n",
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"# Set up OpenAI API key\n",
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"os.environ['OPENAI_API_KEY'] = OPENAI_API_KEY\n",
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"\n",
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"# Initialize Mem0 and MultiOn\n",
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"memory = MemoryClient(api_key=MEM0_API_KEY)\n",
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"multion = MultiOn(api_key=MULTION_API_KEY)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"id": "sq-OdPHKlQie",
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"outputId": "1d605222-0bf5-4ac9-99b9-6059b502c20b"
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},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"{'message': 'Memory added successfully!'}"
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]
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},
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"execution_count": 2,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"# Add conversation to Mem0\n",
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"conversation = [\n",
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" {\n",
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" \"role\": \"user\",\n",
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" \"content\": \"What are the best travel destinations in the world?\"\n",
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" },\n",
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" {\n",
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" \"role\": \"assistant\",\n",
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" \"content\": \"Could you please specify your interests or the type of travel information you are looking for? This will help me find the most relevant information for you.\"\n",
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" },\n",
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" {\n",
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" \"role\": \"user\",\n",
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" \"content\": \"Sure, I want to travel to San Francisco.\"\n",
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" },\n",
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" {\n",
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" \"role\": \"assistant\",\n",
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" \"content\": \"\"\"\n",
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" Based on the information gathered from TripAdvisor, here are some popular attractions, activities, and travel tips for San Francisco:\n",
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"\n",
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" 1. **Golden Gate Bridge**: A must-see iconic landmark.\n",
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" 2. **Alcatraz Island**: Famous former prison offering tours.\n",
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" 3. **Fisherman's Wharf**: Popular tourist area with shops, restaurants, and sea lions.\n",
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" 4. **Chinatown**: The largest Chinatown outside of Asia.\n",
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" 5. **Golden Gate Park**: Large urban park with gardens, museums, and recreational activities.\n",
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" 6. **Cable Cars**: Historic streetcars offering a unique way to see the city.\n",
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" 7. **Exploratorium**: Interactive science museum.\n",
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" 8. **San Francisco Museum of Modern Art (SFMOMA)**: Modern and contemporary art museum.\n",
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" 9. **Lombard Street**: Known for its steep, one-block section with eight hairpin turns.\n",
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" 10. **Union Square**: Major shopping and cultural hub.\n",
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"\n",
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" Travel Tips:\n",
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" - **Weather**: San Francisco has a mild climate, but it can be foggy and windy. Dress in layers.\n",
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" - **Transportation**: Use public transportation like BART, Muni, and cable cars to get around.\n",
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" - **Safety**: Be aware of your surroundings, especially in crowded tourist areas.\n",
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" - **Dining**: Try local specialties like sourdough bread, seafood, and Mission-style burritos.\n",
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" \"\"\"\n",
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" },\n",
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" {\n",
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" \"role\": \"user\",\n",
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" \"content\": \"Show me hotels around Golden Gate Bridge.\"\n",
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" },\n",
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" {\n",
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" \"role\": \"assistant\",\n",
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" \"content\": \"\"\"\n",
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" The search results for hotels around Golden Gate Bridge in San Francisco include:\n",
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"\n",
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" 1. Hilton Hotels In San Francisco - Hotel Near Fishermans Wharf (hilton.com)\n",
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" 2. The 10 Closest Hotels to Golden Gate Bridge (tripadvisor.com)\n",
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" 3. Hotels near Golden Gate Bridge (expedia.com)\n",
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" 4. Hotels near Golden Gate Bridge (hotels.com)\n",
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" 5. Holiday Inn Express & Suites San Francisco Fishermans Wharf, an IHG Hotel $146 (1.8K) 3-star hotel Golden Gate Bridge • 3.5 mi DEAL 19% less than usual\n",
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" 6. Holiday Inn San Francisco-Golden Gateway, an IHG Hotel $151 (3.5K) 3-star hotel Golden Gate Bridge • 3.7 mi Casual hotel with dining, a bar & a pool\n",
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" 7. Hotel Zephyr San Francisco $159 (3.8K) 4-star hotel Golden Gate Bridge • 3.7 mi Nautical-themed lodging with bay views\n",
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" 8. Lodge at the Presidio\n",
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" 9. The Inn Above Tide\n",
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" 10. Cavallo Point\n",
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" 11. Casa Madrona Hotel and Spa\n",
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" 12. Cow Hollow Inn and Suites\n",
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" 13. Samesun San Francisco\n",
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" 14. Inn on Broadway\n",
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" 15. Coventry Motor Inn\n",
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" 16. HI San Francisco Fisherman's Wharf Hostel\n",
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" 17. Loews Regency San Francisco Hotel\n",
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" 18. Fairmont Heritage Place Ghirardelli Square\n",
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" 19. Hotel Drisco Pacific Heights\n",
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" 20. Travelodge by Wyndham Presidio San Francisco\n",
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" \"\"\"\n",
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" }\n",
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"]\n",
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"\n",
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"memory.add(conversation, user_id=USER_ID)\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"id": "hO8z9aNTlQif"
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},
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"outputs": [],
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"source": [
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"def get_travel_info(question, use_memory=True):\n",
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" \"\"\"\n",
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" Get travel information based on user's question and optionally their preferences from memory.\n",
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"\n",
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" \"\"\"\n",
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" if use_memory:\n",
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" previous_memories = memory.search(question, user_id=USER_ID)\n",
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" relevant_memories_text = \"\"\n",
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" if previous_memories:\n",
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" print(\"Using previous memories to enhance the search...\")\n",
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" relevant_memories_text = '\\n'.join(mem[\"memory\"] for mem in previous_memories)\n",
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"\n",
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" command = \"Find travel information based on my interests:\"\n",
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" prompt = f\"{command}\\n Question: {question} \\n My preferences: {relevant_memories_text}\"\n",
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" else:\n",
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" command = \"Find travel information based on my interests:\"\n",
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" prompt = f\"{command}\\n Question: {question}\"\n",
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"\n",
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"\n",
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" print(\"Searching for travel information...\")\n",
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" browse_result = multion.browse(cmd=prompt)\n",
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" return browse_result.message"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"id": "Wp2xpzMrlQig"
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},
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"source": [
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"## Example 1"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"id": "bPRPwqsplQig"
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},
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"outputs": [],
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"source": [
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"question = \"Show me flight details for it.\"\n",
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"answer_without_memory = get_travel_info(question, use_memory=False)\n",
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"answer_with_memory = get_travel_info(question, use_memory=True)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"id": "a76ifa2HlQig"
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},
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"source": [
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"| Without Memory | With Memory |\n",
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"|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n",
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"| I have performed a Google search for \"flight details\" and reviewed the search results. Here are some relevant links and information: | Memorizing the following information: Flight details for San Francisco: |\n",
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"| 1. **FlightStats Global Flight Tracker** - Track the real-time flight status of your flight. See if your flight has been delayed or cancelled and track the live status. <br> [Flight Tracker - FlightStats](https://www.flightstats.com/flight-tracker/search) | 1. Prices from $232. Depart Thursday, August 22. Return Thursday, August 29. <br> 2. Prices from $216. Depart Friday, August 23. Return Friday, August 30. <br> 3. Prices from $236. Depart Saturday, August 24. Return Saturday, August 31. <br> 4. Prices from $215. Depart Sunday, August 25. Return Sunday, September 1. |\n",
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"| 2. **FlightAware - Flight Tracker** - Track live flights worldwide, see flight cancellations, and browse by airport. <br> [FlightAware - Flight Tracker](https://www.flightaware.com) | 5. Prices from $218. Depart Monday, August 26. Return Monday, September 2. <br> 6. Prices from $211. Depart Tuesday, August 27. Return Tuesday, September 3. <br> 7. Prices from $198. Depart Wednesday, August 28. Return Wednesday, September 4. <br> 8. Prices from $218. Depart Thursday, August 29. Return Thursday, September 5. |\n",
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"| 3. **Google Flights** - Show flights based on your search. <br> [Google Flights](https://www.google.com/flights) | 9. Prices from $194. Depart Friday, August 30. Return Friday, September 6. <br> 10. Prices from $218. Depart Saturday, August 31. Return Saturday, September 7. <br> 11. Prices from $212. Depart Sunday, September 1. Return Sunday, September 8. <br> 12. Prices from $247. Depart Monday, September 2. Return Monday, September 9. |\n",
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"| | 13. Prices from $212. Depart Tuesday, September 3. Return Tuesday, September 10. <br> 14. Prices from $203. Depart Wednesday, September 4. Return Wednesday, September 11. <br> 15. Prices from $242. Depart Thursday, September 5. Return Thursday, September 12. <br> 16. Prices from $191. Depart Friday, September 6. Return Friday, September 13. |\n",
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"| | 17. Prices from $215. Depart Saturday, September 7. Return Saturday, September 14. <br> 18. Prices from $229. Depart Sunday, September 8. Return Sunday, September 15. <br> 19. Prices from $183. Depart Monday, September 9. Return Monday, September 16. <br> 65. Prices from $194. Depart Friday, October 25. Return Friday, November 1. |\n",
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"| | 66. Prices from $205. Depart Saturday, October 26. Return Saturday, November 2. <br> 67. Prices from $241. Depart Sunday, October 27. Return Sunday, November 3. |\n"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"id": "0cXpiAwMlQig"
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},
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"source": [
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"## Example 2"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"id": "LpprKfpslQih"
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},
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"outputs": [],
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"source": [
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"question = \"What places to visit there?\"\n",
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"answer_without_memory = get_travel_info(question, use_memory=False)\n",
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"answer_with_memory = get_travel_info(question, use_memory=True)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"id": "kpfjeY1_lQih"
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},
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"source": [
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"| Without Memory | With Memory |\n",
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"|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n",
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"| Based on the information gathered, here are some top travel destinations to consider visiting: | Based on the information gathered, here are some top places to visit in San Francisco: |\n",
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"| 1. **Paris**: Known for its iconic attractions like the Eiffel Tower and the Louvre, Paris offers quaint cafes, trendy shopping districts, and beautiful Haussmann architecture. It's a city where you can always discover something new with each visit. | 1. **Golden Gate Bridge** - An iconic symbol of San Francisco, perfect for walking, biking, or simply enjoying the view. <br> 2. **Alcatraz Island** - The historic former prison offers tours and insights into its storied past. <br> 3. **Fisherman's Wharf** - A bustling waterfront area known for its seafood, shopping, and attractions like Pier 39. <br> 4. **Golden Gate Park** - A large urban park with gardens, museums, and recreational activities. <br> 5. **Chinatown San Francisco** - One of the oldest and most famous Chinatowns in North America, offering unique shops and delicious food. <br> 6. **Coit Tower** - Offers panoramic views of the city and murals depicting San Francisco's history. <br> 7. **Lands End** - A beautiful coastal trail with stunning views of the Pacific Ocean and the Golden Gate Bridge. <br> 8. **Palace of Fine Arts** - A picturesque structure and park, perfect for a leisurely stroll or photo opportunities. <br> 9. **Crissy Field & The Presidio Tunnel Tops** - Great for outdoor activities and scenic views of the bay. |\n",
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"| 2. **Bora Bora**: This small island in French Polynesia is famous for its stunning turquoise waters, luxurious overwater bungalows, and vibrant coral reefs. It's a popular destination for honeymooners and those seeking a tropical paradise. | |\n",
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"| 3. **Glacier National Park**: Located in Montana, USA, this park is known for its breathtaking landscapes, including rugged mountains, pristine lakes, and diverse wildlife. It's a haven for outdoor enthusiasts and hikers. | |\n",
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"| 4. **Rome**: The capital of Italy, Rome is rich in history and culture, featuring landmarks such as the Colosseum, the Vatican, and the Pantheon. It's a city where ancient history meets modern life. | |\n",
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"| 5. **Swiss Alps**: Renowned for their stunning natural beauty, the Swiss Alps offer opportunities for skiing, hiking, and enjoying picturesque mountain villages. | |\n",
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"| 6. **Maui**: One of Hawaii's most popular islands, Maui is known for its beautiful beaches, lush rainforests, and the scenic Hana Highway. It's a great destination for both relaxation and adventure. | |\n",
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"| 7. **London, England**: A vibrant city with a mix of historical landmarks like the Tower of London and modern attractions such as the London Eye. London offers diverse cultural experiences, world-class museums, and a bustling nightlife. | |\n",
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"| 8. **Maldives**: This tropical paradise in the Indian Ocean is famous for its crystal-clear waters, luxurious resorts, and abundant marine life. It's an ideal destination for snorkeling, diving, and relaxation. | |\n",
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"| 9. **Turks & Caicos**: Known for its pristine beaches and turquoise waters, this Caribbean destination is perfect for water sports, beach lounging, and exploring coral reefs. | |\n",
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"| 10. **Tokyo**: Japan's bustling capital offers a unique blend of traditional and modern attractions, from ancient temples to futuristic skyscrapers. Tokyo is also known for its vibrant food scene and shopping districts. | |\n"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"id": "XdpkcMrclQih"
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},
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"source": [
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"## Example 3"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"id": "Nntl2FxulQih"
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},
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"outputs": [],
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"source": [
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"question = \"What the weather there?\"\n",
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"answer_without_memory = get_travel_info(question, use_memory=False)\n",
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"answer_with_memory = get_travel_info(question, use_memory=True)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"id": "yt2pj1irlQih"
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},
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"source": [
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"| Without Memory | With Memory |\n",
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"|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n",
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"| The current weather in Paris is light rain with a temperature of 67°F. The precipitation is at 50%, humidity is 95%, and the wind speed is 5 mph. | The current weather in San Francisco is as follows: <br> - **Temperature**: 59°F <br> - **Condition**: Clear with periodic clouds <br> - **Precipitation**: 3% <br> - **Humidity**: 87% <br> - **Wind**: 12 mph |\n"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": ".venv",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.12.3"
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},
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"colab": {
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"provenance": []
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}
|
||||||
|
},
|
||||||
|
"nbformat": 4,
|
||||||
|
"nbformat_minor": 0
|
||||||
|
}
|
||||||
@@ -6,42 +6,48 @@ Build personal browser agent remembers user preferences and automates web tasks.
|
|||||||
|
|
||||||
## Overview
|
## Overview
|
||||||
|
|
||||||
In this example, we will create a Browser based AI Agent that searches [arxiv.org](https://arxiv.org) for research papers relevant to user's research interests.
|
In this guide, we'll explore two examples of creating Browser-based AI Agents:
|
||||||
|
1. An agent that searches [arxiv.org](https://arxiv.org) for research papers relevant to user's research interests.
|
||||||
|
2. A travel agent that provides personalized travel information based on user preferences.
|
||||||
|
|
||||||
## Setup and Configuration
|
## Setup and Configuration
|
||||||
|
|
||||||
Install necessary libraries:
|
Install necessary libraries:
|
||||||
|
|
||||||
```bash
|
```bash
|
||||||
pip install mem0ai multion
|
pip install mem0ai multion openai
|
||||||
```
|
```
|
||||||
|
|
||||||
First, we'll import the necessary libraries and set up our configurations.
|
First, we'll import the necessary libraries and set up our configurations.
|
||||||
|
|
||||||
```python
|
```python
|
||||||
import os
|
import os
|
||||||
from mem0 import Memory
|
from mem0 import Memory, MemoryClient
|
||||||
from multion.client import MultiOn
|
from multion.client import MultiOn
|
||||||
|
from openai import OpenAI
|
||||||
|
|
||||||
# Configuration
|
# Configuration
|
||||||
OPENAI_API_KEY = 'sk-xxx' # Replace with your actual OpenAI API key
|
OPENAI_API_KEY = 'sk-xxx' # Replace with your actual OpenAI API key
|
||||||
MULTION_API_KEY = 'your-multion-key' # Replace with your actual MultiOn API key
|
MULTION_API_KEY = 'your-multion-key' # Replace with your actual MultiOn API key
|
||||||
USER_ID = "deshraj"
|
MEM0_API_KEY = 'your-mem0-key' # Replace with your actual Mem0 API key
|
||||||
|
USER_ID = "your-user-id"
|
||||||
|
|
||||||
# Set up OpenAI API key
|
# Set up OpenAI API key
|
||||||
os.environ['OPENAI_API_KEY'] = OPENAI_API_KEY
|
os.environ['OPENAI_API_KEY'] = OPENAI_API_KEY
|
||||||
|
|
||||||
# Initialize Mem0 and MultiOn
|
# Initialize Mem0 and MultiOn
|
||||||
memory = Memory()
|
memory = Memory() # For local usage
|
||||||
|
memory_client = MemoryClient(api_key=MEM0_API_KEY) # For API usage
|
||||||
multion = MultiOn(api_key=MULTION_API_KEY)
|
multion = MultiOn(api_key=MULTION_API_KEY)
|
||||||
```
|
```
|
||||||
|
|
||||||
## Add memories to Mem0
|
## Example 1: Research Paper Search Agent
|
||||||
|
|
||||||
Next, we'll define our user data and add it to Mem0.
|
### Add memories to Mem0
|
||||||
|
|
||||||
|
Define user data and add it to Mem0.
|
||||||
|
|
||||||
```python
|
```python
|
||||||
# Define user data
|
|
||||||
USER_DATA = """
|
USER_DATA = """
|
||||||
About me
|
About me
|
||||||
- I'm Deshraj Yadav, Co-founder and CTO at Mem0, interested in AI and ML Infrastructure.
|
- I'm Deshraj Yadav, Co-founder and CTO at Mem0, interested in AI and ML Infrastructure.
|
||||||
@@ -50,17 +56,15 @@ About me
|
|||||||
- Outside of work, I enjoy playing cricket in two leagues in the San Francisco.
|
- Outside of work, I enjoy playing cricket in two leagues in the San Francisco.
|
||||||
"""
|
"""
|
||||||
|
|
||||||
# Add user data to memory
|
|
||||||
memory.add(USER_DATA, user_id=USER_ID)
|
memory.add(USER_DATA, user_id=USER_ID)
|
||||||
print("User data added to memory.")
|
print("User data added to memory.")
|
||||||
```
|
```
|
||||||
|
|
||||||
## Retrieving Relevant Memories
|
### Retrieving Relevant Memories
|
||||||
|
|
||||||
Now, we'll define our search command and retrieve relevant memories from Mem0.
|
Define search command and retrieve relevant memories from Mem0.
|
||||||
|
|
||||||
```python
|
```python
|
||||||
# Define search command and retrieve relevant memories
|
|
||||||
command = "Find papers on arxiv that I should read based on my interests."
|
command = "Find papers on arxiv that I should read based on my interests."
|
||||||
|
|
||||||
relevant_memories = memory.search(command, user_id=USER_ID, limit=3)
|
relevant_memories = memory.search(command, user_id=USER_ID, limit=3)
|
||||||
@@ -69,22 +73,139 @@ print(f"Relevant memories:")
|
|||||||
print(relevant_memories_text)
|
print(relevant_memories_text)
|
||||||
```
|
```
|
||||||
|
|
||||||
## Browsing arXiv
|
### Browsing arXiv
|
||||||
|
|
||||||
Finally, we'll use MultiOn to browse arXiv based on our command and relevant memories.
|
Use MultiOn to browse arXiv based on the command and relevant memories.
|
||||||
|
|
||||||
```python
|
```python
|
||||||
# Create prompt and browse arXiv
|
|
||||||
prompt = f"{command}\n My past memories: {relevant_memories_text}"
|
prompt = f"{command}\n My past memories: {relevant_memories_text}"
|
||||||
browse_result = multion.browse(cmd=prompt, url="https://arxiv.org/")
|
browse_result = multion.browse(cmd=prompt, url="https://arxiv.org/")
|
||||||
print(browse_result)
|
print(browse_result)
|
||||||
```
|
```
|
||||||
|
|
||||||
|
## Example 2: Travel Agent
|
||||||
|
|
||||||
|
### Get Travel Information
|
||||||
|
|
||||||
|
Add conversation to Mem0 and create a function to get travel information based on user's question and optionally their preferences from memory.
|
||||||
|
|
||||||
|
<CodeGroup>
|
||||||
|
```python Code
|
||||||
|
def get_travel_info(question, use_memory=True):
|
||||||
|
if use_memory:
|
||||||
|
previous_memories = memory_client.search(question, user_id=USER_ID)
|
||||||
|
relevant_memories_text = ""
|
||||||
|
if previous_memories:
|
||||||
|
print("Using previous memories to enhance the search...")
|
||||||
|
relevant_memories_text = '\n'.join(mem["memory"] for mem in previous_memories)
|
||||||
|
|
||||||
|
command = "Find travel information based on my interests:"
|
||||||
|
prompt = f"{command}\n Question: {question} \n My preferences: {relevant_memories_text}"
|
||||||
|
else:
|
||||||
|
command = "Find travel information based on my interests:"
|
||||||
|
prompt = f"{command}\n Question: {question}"
|
||||||
|
|
||||||
|
print("Searching for travel information...")
|
||||||
|
browse_result = multion.browse(cmd=prompt)
|
||||||
|
return browse_result.message
|
||||||
|
|
||||||
|
# Example usage
|
||||||
|
question = "Show me flight details for it."
|
||||||
|
answer_without_memory = get_travel_info(question, use_memory=False)
|
||||||
|
answer_with_memory = get_travel_info(question, use_memory=True)
|
||||||
|
|
||||||
|
print("Answer without memory:", answer_without_memory)
|
||||||
|
print("Answer with memory:", answer_with_memory)
|
||||||
|
|
||||||
|
# Another example
|
||||||
|
question = "What is the best place to eat there?"
|
||||||
|
answer_without_memory = get_travel_info(question, use_memory=False)
|
||||||
|
answer_with_memory = get_travel_info(question, use_memory=True)
|
||||||
|
|
||||||
|
print("Answer without memory:", answer_without_memory)
|
||||||
|
print("Answer with memory:", answer_with_memory)
|
||||||
|
```
|
||||||
|
|
||||||
|
```json Conversation
|
||||||
|
# Add conversation to Mem0
|
||||||
|
conversation = [
|
||||||
|
{
|
||||||
|
"role": "user",
|
||||||
|
"content": "What are the best travel destinations in the world?"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"role": "assistant",
|
||||||
|
"content": "Could you please specify your interests or the type of travel information you are looking for? This will help me find the most relevant information for you."
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"role": "user",
|
||||||
|
"content": "Sure, I want to travel to San Francisco."
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"role": "assistant",
|
||||||
|
"content": """
|
||||||
|
Based on the information gathered from TripAdvisor, here are some popular attractions, activities, and travel tips for San Francisco: \
|
||||||
|
|
||||||
|
1. **Golden Gate Bridge**: A must-see iconic landmark. \
|
||||||
|
2. **Alcatraz Island**: Famous former prison offering tours. \
|
||||||
|
3. **Fisherman's Wharf**: Popular tourist area with shops, restaurants, and sea lions. \
|
||||||
|
4. **Chinatown**: The largest Chinatown outside of Asia. \
|
||||||
|
5. **Golden Gate Park**: Large urban park with gardens, museums, and recreational activities. \
|
||||||
|
6. **Cable Cars**: Historic streetcars offering a unique way to see the city. \
|
||||||
|
7. **Exploratorium**: Interactive science museum. \
|
||||||
|
8. **San Francisco Museum of Modern Art (SFMOMA)**: Modern and contemporary art museum. \
|
||||||
|
9. **Lombard Street**: Known for its steep, one-block section with eight hairpin turns. \
|
||||||
|
10. **Union Square**: Major shopping and cultural hub. \
|
||||||
|
|
||||||
|
Travel Tips: \
|
||||||
|
- **Weather**: San Francisco has a mild climate, but it can be foggy and windy. Dress in layers. \
|
||||||
|
- **Transportation**: Use public transportation like BART, Muni, and cable cars to get around. \
|
||||||
|
- **Safety**: Be aware of your surroundings, especially in crowded tourist areas. \
|
||||||
|
- **Dining**: Try local specialties like sourdough bread, seafood, and Mission-style burritos. \
|
||||||
|
"""
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"role": "user",
|
||||||
|
"content": "Show me hotels around Golden Gate Bridge."
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"role": "assistant",
|
||||||
|
"content": """The search results for hotels around Golden Gate Bridge in San Francisco include: \
|
||||||
|
|
||||||
|
1. Hilton Hotels In San Francisco - Hotel Near Fishermans Wharf (hilton.com) \
|
||||||
|
2. The 10 Closest Hotels to Golden Gate Bridge (tripadvisor.com) \
|
||||||
|
3. Hotels near Golden Gate Bridge (expedia.com) \
|
||||||
|
4. Hotels near Golden Gate Bridge (hotels.com) \
|
||||||
|
5. Holiday Inn Express & Suites San Francisco Fishermans Wharf, an IHG Hotel $146 (1.8K) 3-star hotel Golden Gate Bridge • 3.5 mi DEAL 19% less than usual \
|
||||||
|
6. Holiday Inn San Francisco-Golden Gateway, an IHG Hotel $151 (3.5K) 3-star hotel Golden Gate Bridge • 3.7 mi Casual hotel with dining, a bar & a pool \
|
||||||
|
7. Hotel Zephyr San Francisco $159 (3.8K) 4-star hotel Golden Gate Bridge • 3.7 mi Nautical-themed lodging with bay views \
|
||||||
|
8. Lodge at the Presidio \
|
||||||
|
9. The Inn Above Tide \
|
||||||
|
10. Cavallo Point \
|
||||||
|
11. Casa Madrona Hotel and Spa \
|
||||||
|
12. Cow Hollow Inn and Suites \
|
||||||
|
13. Samesun San Francisco \
|
||||||
|
14. Inn on Broadway \
|
||||||
|
15. Coventry Motor Inn \
|
||||||
|
16. HI San Francisco Fisherman's Wharf Hostel \
|
||||||
|
17. Loews Regency San Francisco Hotel \
|
||||||
|
18. Fairmont Heritage Place Ghirardelli Square \
|
||||||
|
19. Hotel Drisco Pacific Heights \
|
||||||
|
20. Travelodge by Wyndham Presidio San Francisco \
|
||||||
|
"""
|
||||||
|
}
|
||||||
|
]
|
||||||
|
```
|
||||||
|
</CodeGroup>
|
||||||
|
|
||||||
## Conclusion
|
## Conclusion
|
||||||
|
|
||||||
By integrating Mem0 with MultiOn, you've created a personalized browser agent that remembers user preferences and automates web tasks. For more details and advanced usage, refer to the full [cookbook here](https://github.com/mem0ai/mem0/blob/main/cookbooks/mem0-multion.ipynb).
|
By integrating Mem0 with MultiOn, you've created personalized browser agents that remember user preferences and automate web tasks. The first example demonstrates a research-focused agent, while the second example shows a travel agent capable of providing personalized recommendations.
|
||||||
|
|
||||||
|
These examples illustrate how combining memory management with web browsing capabilities can create powerful, context-aware AI agents for various applications.
|
||||||
|
|
||||||
## Help
|
## Help
|
||||||
|
|
||||||
|
- For more details and advanced usage, refer to the full [cookbooks here](https://github.com/mem0ai/mem0/blob/main/cookbooks).
|
||||||
- Feel free to visit our [Github](https://github.com/mem0ai/mem0) or [Mem0 Platform](https://app.mem0.ai/).
|
- Feel free to visit our [Github](https://github.com/mem0ai/mem0) or [Mem0 Platform](https://app.mem0.ai/).
|
||||||
- For any questions or assistance, please reach out to `taranjeetio` on [Discord](https://mem0.ai/discord).
|
- For any questions or assistance, please reach out to `taranjeetio` on [Discord](https://mem0.ai/discord).
|
||||||
@@ -80,6 +80,10 @@ curl -X POST "https://api.mem0.ai/v1/memories/" \
|
|||||||
"user_id": "alex"
|
"user_id": "alex"
|
||||||
}'
|
}'
|
||||||
```
|
```
|
||||||
|
|
||||||
|
```json Output
|
||||||
|
{'message': 'ok'}
|
||||||
|
```
|
||||||
</CodeGroup>
|
</CodeGroup>
|
||||||
|
|
||||||
#### Short-term memory for a user session
|
#### Short-term memory for a user session
|
||||||
@@ -123,6 +127,10 @@ curl -X POST "https://api.mem0.ai/v1/memories/" \
|
|||||||
"session_id": "trip-planning-2024"
|
"session_id": "trip-planning-2024"
|
||||||
}'
|
}'
|
||||||
```
|
```
|
||||||
|
|
||||||
|
```json Output
|
||||||
|
{'message': 'ok'}
|
||||||
|
```
|
||||||
</CodeGroup>
|
</CodeGroup>
|
||||||
|
|
||||||
#### Long-term memory for agents
|
#### Long-term memory for agents
|
||||||
@@ -159,6 +167,10 @@ curl -X POST "https://api.mem0.ai/v1/memories/" \
|
|||||||
"agent_id": "travel-assistant"
|
"agent_id": "travel-assistant"
|
||||||
}'
|
}'
|
||||||
```
|
```
|
||||||
|
|
||||||
|
```json Output
|
||||||
|
{'message': 'ok'}
|
||||||
|
```
|
||||||
</CodeGroup>
|
</CodeGroup>
|
||||||
|
|
||||||
You can monitor memory operations on the platform:
|
You can monitor memory operations on the platform:
|
||||||
@@ -239,6 +251,29 @@ client.getAll({ agent_id: "travel-assistant" })
|
|||||||
curl -X GET "https://api.mem0.ai/v1/memories/?agent_id=travel-assistant" \
|
curl -X GET "https://api.mem0.ai/v1/memories/?agent_id=travel-assistant" \
|
||||||
-H "Authorization: Token your-api-key"
|
-H "Authorization: Token your-api-key"
|
||||||
```
|
```
|
||||||
|
|
||||||
|
```json Output
|
||||||
|
[
|
||||||
|
{
|
||||||
|
"id":"f38b689d-6b24-45b7-bced-17fbb4d8bac7",
|
||||||
|
"memory":"是素食主义者，对坚果过敏。",
|
||||||
|
"agent_id":"travel-assistant",
|
||||||
|
"hash":"62bc074f56d1f909f1b4c2b639f56f6a",
|
||||||
|
"metadata":"None",
|
||||||
|
"created_at":"2024-07-25T23:57:00.108347-07:00",
|
||||||
|
"updated_at":"2024-07-25T23:57:00.108367-07:00"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id":"0a14d8f0-e364-4f5c-b305-10da1f0d0878",
|
||||||
|
"memory":"Will maintain personalized travel preferences for each user. Provide customized recommendations based on dietary restrictions, interests, and past interactions.",
|
||||||
|
"agent_id":"travel-assistant",
|
||||||
|
"hash":"35a305373d639b0bffc6c2a3e2eb4244",
|
||||||
|
"metadata":"None",
|
||||||
|
"created_at":"2024-07-26T00:31:03.543759-07:00",
|
||||||
|
"updated_at":"2024-07-26T00:31:03.543778-07:00"
|
||||||
|
}
|
||||||
|
]
|
||||||
|
```
|
||||||
</CodeGroup>
|
</CodeGroup>
|
||||||
|
|
||||||
#### Get all memories of user
|
#### Get all memories of user
|
||||||
@@ -259,6 +294,29 @@ client.getAll({ user_id: "alex" })
|
|||||||
curl -X GET "https://api.mem0.ai/v1/memories/?user_id=alex" \
|
curl -X GET "https://api.mem0.ai/v1/memories/?user_id=alex" \
|
||||||
-H "Authorization: Token your-api-key"
|
-H "Authorization: Token your-api-key"
|
||||||
```
|
```
|
||||||
|
|
||||||
|
```json Output
|
||||||
|
[
|
||||||
|
{
|
||||||
|
"id":"f38b689d-6b24-45b7-bced-17fbb4d8bac7",
|
||||||
|
"memory":"是素食主义者，对坚果过敏。",
|
||||||
|
"agent_id":"travel-assistant",
|
||||||
|
"hash":"62bc074f56d1f909f1b4c2b639f56f6a",
|
||||||
|
"metadata":"None",
|
||||||
|
"created_at":"2024-07-25T23:57:00.108347-07:00",
|
||||||
|
"updated_at":"2024-07-25T23:57:00.108367-07:00"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id":"0a14d8f0-e364-4f5c-b305-10da1f0d0878",
|
||||||
|
"memory":"Will maintain personalized travel preferences for each user. Provide customized recommendations based on dietary restrictions, interests, and past interactions.",
|
||||||
|
"agent_id":"travel-assistant",
|
||||||
|
"hash":"35a305373d639b0bffc6c2a3e2eb4244",
|
||||||
|
"metadata":"None",
|
||||||
|
"created_at":"2024-07-26T00:31:03.543759-07:00",
|
||||||
|
"updated_at":"2024-07-26T00:31:03.543778-07:00"
|
||||||
|
}
|
||||||
|
]
|
||||||
|
```
|
||||||
</CodeGroup>
|
</CodeGroup>
|
||||||
|
|
||||||
#### Get short-term memories for a session
|
#### Get short-term memories for a session
|
||||||
@@ -279,6 +337,38 @@ client.getAll({ user_id: "alex123", session_id: "trip-planning-2024" })
|
|||||||
curl -X GET "https://api.mem0.ai/v1/memories/?user_id=alex123&session_id=trip-planning-2024" \
|
curl -X GET "https://api.mem0.ai/v1/memories/?user_id=alex123&session_id=trip-planning-2024" \
|
||||||
-H "Authorization: Token your-api-key"
|
-H "Authorization: Token your-api-key"
|
||||||
```
|
```
|
||||||
|
|
||||||
|
```json Output
|
||||||
|
[
|
||||||
|
{
|
||||||
|
"id":"06d8df63-7bd2-4fad-9acb-60871bcecee0",
|
||||||
|
"memory":"Planning a trip to Japan next month. Interested in vegetarian restaurants in Tokyo.",
|
||||||
|
"user_id":"alex123",
|
||||||
|
"hash":"d2088c936e259f2f5d2d75543d31401c",
|
||||||
|
"metadata":"None",
|
||||||
|
"created_at":"2024-07-26T00:25:16.566471-07:00",
|
||||||
|
"updated_at":"2024-07-26T00:25:16.566492-07:00"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id":"b4229775-d860-4ccb-983f-0f628ca112f5",
|
||||||
|
"memory":"Planning a trip to Japan next month. Interested in vegetarian restaurants in Tokyo.",
|
||||||
|
"user_id":"alex123",
|
||||||
|
"hash":"d2088c936e259f2f5d2d75543d31401c",
|
||||||
|
"metadata":"None",
|
||||||
|
"created_at":"2024-07-26T00:33:20.350542-07:00",
|
||||||
|
"updated_at":"2024-07-26T00:33:20.350560-07:00"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"id":"df1aca24-76cf-4b92-9f58-d03857efcb64",
|
||||||
|
"memory":"Planning a trip to Japan next month. Interested in vegetarian restaurants in Tokyo.",
|
||||||
|
"user_id":"alex123",
|
||||||
|
"hash":"d2088c936e259f2f5d2d75543d31401c",
|
||||||
|
"metadata":"None",
|
||||||
|
"created_at":"2024-07-26T00:51:09.642275-07:00",
|
||||||
|
"updated_at":"2024-07-26T00:51:09.642295-07:00"
|
||||||
|
}
|
||||||
|
]
|
||||||
|
```
|
||||||
</CodeGroup>
|
</CodeGroup>
|
||||||
|
|
||||||
#### Get specific memory
|
#### Get specific memory
|
||||||
@@ -299,6 +389,18 @@ client.get("582bbe6d-506b-48c6-a4c6-5df3b1e63428")
|
|||||||
curl -X GET "https://api.mem0.ai/v1/memories/582bbe6d-506b-48c6-a4c6-5df3b1e63428" \
|
curl -X GET "https://api.mem0.ai/v1/memories/582bbe6d-506b-48c6-a4c6-5df3b1e63428" \
|
||||||
-H "Authorization: Token your-api-key"
|
-H "Authorization: Token your-api-key"
|
||||||
```
|
```
|
||||||
|
|
||||||
|
```json Output
|
||||||
|
{
|
||||||
|
"id":"06d8df63-7bd2-4fad-9acb-60871bcecee0",
|
||||||
|
"memory":"Planning a trip to Japan next month. Interested in vegetarian restaurants in Tokyo.",
|
||||||
|
"user_id":"alex123",
|
||||||
|
"hash":"d2088c936e259f2f5d2d75543d31401c",
|
||||||
|
"metadata":"None",
|
||||||
|
"created_at":"2024-07-26T00:25:16.566471-07:00",
|
||||||
|
"updated_at":"2024-07-26T00:25:16.566492-07:00"
|
||||||
|
}
|
||||||
|
```
|
||||||
</CodeGroup>
|
</CodeGroup>
|
||||||
|
|
||||||
### 4.4 Memory History
|
### 4.4 Memory History
|
||||||
@@ -319,7 +421,6 @@ client.add(messages, user_id="alex")
|
|||||||
# Get history of how memory changed over time
|
# Get history of how memory changed over time
|
||||||
memory_id = "<memory-id-here>"
|
memory_id = "<memory-id-here>"
|
||||||
history = client.history(memory_id)
|
history = client.history(memory_id)
|
||||||
print(history)
|
|
||||||
```
|
```
|
||||||
|
|
||||||
```javascript JavaScript
|
```javascript JavaScript
|
||||||
@@ -366,6 +467,32 @@ curl -X POST "https://api.mem0.ai/v1/memories/" \
|
|||||||
curl -X GET "https://api.mem0.ai/v1/memories/<memory-id-here>/history/" \
|
curl -X GET "https://api.mem0.ai/v1/memories/<memory-id-here>/history/" \
|
||||||
-H "Authorization: Token your-api-key"
|
-H "Authorization: Token your-api-key"
|
||||||
```
|
```
|
||||||
|
|
||||||
|
```json Output
|
||||||
|
[
|
||||||
|
{
|
||||||
|
"id":"d6306e85-eaa6-400c-8c2f-ab994a8c4d09",
|
||||||
|
"memory_id":"b163df0e-ebc8-4098-95df-3f70a733e198",
|
||||||
|
"input":[
|
||||||
|
{
|
||||||
|
"role":"user",
|
||||||
|
"content":"I recently tried chicken and I loved it. I'm thinking of trying more non-vegetarian dishes.."
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"role":"user",
|
||||||
|
"content":"I turned vegetarian now."
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"old_memory":"None",
|
||||||
|
"new_memory":"Turned vegetarian.",
|
||||||
|
"user_id":"alex123456",
|
||||||
|
"event":"ADD",
|
||||||
|
"metadata":"None",
|
||||||
|
"created_at":"2024-07-26T01:02:41.737310-07:00",
|
||||||
|
"updated_at":"2024-07-26T01:02:41.726073-07:00"
|
||||||
|
}
|
||||||
|
]
|
||||||
|
```
|
||||||
</CodeGroup>
|
</CodeGroup>
|
||||||
|
|
||||||
### 4.5 Delete Memory
|
### 4.5 Delete Memory
|
||||||
@@ -388,6 +515,10 @@ client.delete("memory-id-here")
|
|||||||
curl -X DELETE "https://api.mem0.ai/v1/memories/memory-id-here" \
|
curl -X DELETE "https://api.mem0.ai/v1/memories/memory-id-here" \
|
||||||
-H "Authorization: Token your-api-key"
|
-H "Authorization: Token your-api-key"
|
||||||
```
|
```
|
||||||
|
|
||||||
|
```json Output
|
||||||
|
{'message': 'Memory deleted successfully'}
|
||||||
|
```
|
||||||
</CodeGroup>
|
</CodeGroup>
|
||||||
|
|
||||||
Delete all memories of a user:
|
Delete all memories of a user:
|
||||||
@@ -408,6 +539,10 @@ client.deleteAll({ user_id: "alex" })
|
|||||||
curl -X DELETE "https://api.mem0.ai/v1/memories/?user_id=alex" \
|
curl -X DELETE "https://api.mem0.ai/v1/memories/?user_id=alex" \
|
||||||
-H "Authorization: Token your-api-key"
|
-H "Authorization: Token your-api-key"
|
||||||
```
|
```
|
||||||
|
|
||||||
|
```json Output
|
||||||
|
{'message': 'Memories deleted successfully!'}
|
||||||
|
```
|
||||||
</CodeGroup>
|
</CodeGroup>
|
||||||
|
|
||||||
Fun fact: You can also delete the memory using the `add()` method by passing a natural language command:
|
Fun fact: You can also delete the memory using the `add()` method by passing a natural language command:
|
||||||
@@ -433,6 +568,10 @@ curl -X POST "https://api.mem0.ai/v1/memories/" \
|
|||||||
"user_id": "alex"
|
"user_id": "alex"
|
||||||
}'
|
}'
|
||||||
```
|
```
|
||||||
|
|
||||||
|
```json Output
|
||||||
|
{'message': 'ok'}
|
||||||
|
```
|
||||||
</CodeGroup>
|
</CodeGroup>
|
||||||
|
|
||||||
If you have any questions, please feel free to reach out to us using one of the following methods:
|
If you have any questions, please feel free to reach out to us using one of the following methods:
|
||||||
|
|||||||
Reference in New Issue
Block a user