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Merge pull request #309 from koreyspace/main
added lesson 13 - agentic memory
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11-agentic-protocols/README.md

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[![Agentic Protocols](./images/lesson-11-thumbnail.png)](https://youtu.be/X-Dh9R3Opn8)
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> _(Click the image above to view video of this lesson)_
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As the use of AI agents grows, so does the need for protocols that ensure standardization, security, and support open innovation. In this lesson, we will cover 3 protocols looking to meet this need - Model Context Protocol (MCP), Agent to Agent (A2A) and Natural Language Web (NLWeb).
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## Introduction

12-context-engineering/code_samples/12-chat_summarization.ipynb

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"print(\"✅ Azure OpenAI service configured\")"
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"cell_type": "markdown",
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"source": []
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" You are a helpful vacation planning assistant. Your job is to help users plan their perfect vacation.\n",
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" \n",
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" CRITICAL SCRATCHPAD RULES - YOU MUST FOLLOW THESE:\n",
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" 1. FIRST ACTION: When starting ANY conversation, immediately call read_scratchpad() to check existing preferences\n",
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" 1. FIRST ACTION: When starting ANY conversation, immedi ately call read_scratchpad() to check existing preferences\n",
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" 2. AFTER LEARNING PREFERENCES: When user mentions ANY preference (destinations, activities, budget, dates), \n",
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" immediately call update_scratchpad() with category 'preferences'\n",
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" 3. AFTER COMPLETING TASKS: When you finish creating an itinerary or completing any task,\n",
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# Agent Scratchpad
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## User Preferences
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- [2025-09-16 16:30:39] Budget: $3000 per person for a week
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- [2025-09-16 16:30:39] Enjoys water sports, exploring local markets, and trying authentic cuisine
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- [2025-09-16 16:30:39] Loves beach destinations with great food and culture
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## Completed Tasks
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- [2025-09-16 16:30:52] Created Greek Islands itinerary for beach vacation
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- [2025-09-16 16:30:46] Created Bali itinerary for beach vacation
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