Migrate Python apps from Azure OpenAI Chat Completions to the Responses API. Covers AzureOpenAI/AsyncAzureOpenAI client migration to the v1 endpoint, streaming, tools, structured output, multi-turn, EntraID auth, and model compatibility checks. Python-focused, Azure OpenAI-specific. USE FOR: migrate to responses API, switch from chat completions, openai responses, upgrade openai SDK, responses API migration, move from completions to responses, gpt-5 migration, azure openai python migration, chat completions to responses, AzureOpenAI to OpenAI client, python azure openai upgrade. DO NOT USE FOR: building new apps from scratch (start with responses directly), Node/TypeScript/C#/Java/Go migrations (this skill is Python-only), Azure infrastructure setup (use azure-prepare), deploying models (use microsoft-foundry).
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Take a working agent prototype to a scalable, observable production deployment on Microsoft Foundry. Covers deployment patterns (client-hosted, hosted agents, agent workflows), the agent lifecycle, model routing, response caching, evaluation gates, human-in-the-loop approval, observability with OpenTelemetry, cost optimisation, and smoke-testing deployed agents with the AI Smoke Test action. Based on Lesson 16 of AI Agents for Beginners. USE FOR: deploy an agent to production, scale an agent, Microsoft Foundry hosted agent, Foundry Agent Service, model routing, response caching, evaluation gate, release gate, human approval workflow, agent observability, agent tracing, agent cost optimisation, smoke test a hosted agent, production customer support agent. DO NOT USE FOR: building your first agent (start with Lesson 01), running agents locally on-device (use local-ai-agents / Lesson 17), Azure infrastructure provisioning unrelated to agents, non-Foundry deployment targets.
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Use when the user asks to create, scaffold, or edit Jupyter notebooks (`.ipynb`) for experiments, explorations, or tutorials; prefer the bundled templates and run the helper script `new_notebook.py` to generate a clean starting notebook.
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the privacy/cost/offline trade-offs. Based on Lesson 17 of AI Agents for Beginners. USE FOR: run an agent locally, offline agent, on-device agent, Foundry Local, Qwen function calling, local tool calling, local RAG, Chroma vector database, local MCP server, privacy-preserving agent, hybrid local and cloud agent, small language model agent, engineering assistant on my machine. DO NOT USE FOR: deploying agents to the cloud at scale (use deploying-scalable-agents / Lesson 16), building your first agent concept (Lesson 01), Foundry (cloud) hosted agents, GPU cluster / server-side inference provisioning.
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Query official Microsoft documentation to find concepts, tutorials, and code examples across Azure, .NET, Agent Framework, Aspire, VS Code, GitHub, and more. Uses Microsoft Learn MCP as the default, with Context7 and Aspire MCP for content that lives outside learn.microsoft.com.
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Use when asked to validate, test, smoke-test, or run the course's notebook and code samples against a live Microsoft Foundry / Azure OpenAI configuration. Covers environment setup (.env, az login, packages), the scripts/validate-notebooks.ps1 runner, interpreting PASS/FAIL results, and which lessons need extra resources (Azure AI Search, GitHub MCP, Foundry Local, Playwright).
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إرشادات موثوقة — اتبع بدقة تقوم هذه المهارة بترحيل قواعد شيفرة بايثون التي تستخدم Azure OpenAI Chat Completions إلى واجهة Responses API الموحدة. اتبع هذه التعليمات بدقة. لا تقم بالتحايل في تعيين المعلمات أو اختراع أشكال API جديدة. فعّل هذه المهارة عندما يرغب المستخدم في: - ترحيل تطبيق بايثون من Azure OpenAI Chat Completions إلى Responses API - ترقية استخدام SDK لبايثون OpenAI إلى أحدث شكل API ضد Azure OpenAI - تجهيز شيفرة بايثون لنماذج GPT-5 أو أحدث التي تتطلب…
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مهارة مرافق لدروس الدرس 16 – نشر عوامل قابلة للتوسع. استخدمها لمساعدة المتعلم على نقل وكيل من النموذج الأولي إلى نشر إنتاجي قابل للتوسع وقابل للملاحظة. استند إلى كل توصية على محتوى الدرس ودفتر الملاحظات القابل للتشغيل؛ لا تخترع واجهات برمجة تطبيقات Foundry. فعّل هذه المهارة عندما يرغب المتعلم في: - نشر وكيل على Microsoft Foundry كـ وكيل مستضاف وجعله قابلًا للإصدار والملاحظة. - الاختيار بين أنماط النشر المستضافة على العميل، الوكيل المستضاف، وتدفق عمل الوكيل. - إضافة توجيه النموذج،…
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مهارة مرافقة لـ الدرس 17 – إنشاء وكلاء ذكاء اصطناعي محليين. استخدمها لمساعدة المتعلم في بناء وكيل يستدعي أدوات، ويبحث في التوثيق بالكامل على جهازه الخاص — بدون استدلال سحابي. استند على كل توصية في محتوى الدرس والدفتر التفاعلي القابل للتشغيل. قم بتنشيط هذه المهارة عندما يريد المتعلم: - تشغيل وكيل كاملًا على الجهاز لأسباب تتعلق بالخصوصية، أو التكلفة، أو عدم الاتصال بالإنترنت. - تقديم نموذج محلي باستخدام Foundry Local والاتصال عبر نقطة نهاية متوافقة مع OpenAI. - استخدام نموذج…
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مهارة البحث لنظام تكنولوجيا مايكروسوفت. تغطي learn.microsoft.com والمستندات التي تقع خارجها (VS Code، GitHub، Aspire، مستودعات Agent Framework). استخدم هذه الأدوات لـ كل شيء على learn.microsoft.com — أزور، .NET، M365، Power Platform، Agent Framework، Semantic Kernel، ويندوز، وأكثر. هذه هي الأداة الأساسية لمعظم استعلامات مستندات مايكروسوفت. استخدم microsoft_docs_fetch بعد البحث عندما تحتاج إلى برامج تعليمية كاملة، كل خيارات التكوين، أو عندما تُقتطع مقتطفات البحث. الفئات التالية تقع خارج learn.microsoft.com. استخدم الأداة المحددة بدلاً من ذلك. مستندات Aspire تقع على aspire.dev،…
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تحقق من أن دفاتر الدروس وعينات الشيفرة تعمل ضد إعداد Microsoft Foundry / Azure OpenAI مباشر. يشتمل المستودع على مشغل في scripts/validate-notebooks.ps1 الذي ينفذ كل دفتر ملاحظات بايثون بدون واجهة ويطبع مصفوفة تمر/فشل. لا تستخدم هذا لاختبار AI Smoke Test GitHub Action (الذي يتحقق من العملاء النشرين المستضافين — راجع tests/README.md). تقوم هذه المهارة بتشغيل دفاتر الملاحظات محليًا. تقوم السكربت بكتابة نسخ منفذة، وسجلات لكل دفتر ملاحظات، وresults.json إلى $env:TEMP\aiab-nbval وتخرج بعدد حالات الفشل. يتم إعادة محاولة الإخفاقات المؤقتة (حدود…
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АВТОРИТЕТНО РЪКОВОДСТВО — СПАЗВАЙТЕ ТОЧНО Тази функция мигрира Python кодови бази, използващи Azure OpenAI Chat Completions към унифицирания Responses API. Следвайте тези инструкции прецизно. Не импровизирайте с параметрични съпоставяния или измисляйте форми на API. Активирайте тази функция, когато потребителят иска да: - Мигрира Python приложение от Azure OpenAI Chat Completions към Responses API - Обнови употребата на Python OpenAI SDK до последната форма на API спрямо Azure OpenAI - Подготви Python код за модели GPT-5 или по-нови, които изискват Responses…
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Придружаващо умение за Урок 16 – Разгръщане на мащабируеми агенти. Използвайте го, за да помогнете на учащия да премести агент от прототип към мащабируема, наблюдаема производствена среда. Всяка препоръка трябва да се основава на съдържанието на урока и изпълнимия тетрадка; не измисляйте API-та на Foundry. Активирайте това умение, когато учащ иска да: - Разгърне агент в Microsoft Foundry като хостиран агент и да го направи версиониран/наблюдаем. - Избере между модели за разгръщане клиент-хостиран, хостиран агент и агент-работен поток. - Добави…
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Спомагателно умение за Урок 17 – Създаване на локални AI агенти. Използвайте го, за да помогнете на учащия да създаде агент, който разсъждава, извиква инструменти и търси документиране изцяло на собствената му машина — без облачно осмисляне. Всяка препоръка се основава на съдържанието на урока и изпълнимия бележник. Активирайте това умение, когато учащ иска да: - Стартира агент изцяло на устройството по причини за поверителност, разходи или офлайн работа. - Служи на модел локално с Foundry Local и да се…
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Валидирайте, че тетрадките на уроците и примерите с код се изпълняват спрямо активна Microsoft Foundry / Azure OpenAI конфигурация. Репозиторият предоставя скрипт за изпълнение на scripts/validate-notebooks.ps1, който изпълнява всяка Python тетрадка без графичен интерфейс и отпечатва матрица PASS/FAIL. Не използвайте това за AI Smoke Test GitHub Action (който валидира публикувани хостнати агенти — вижте tests/README.md). Тази функционалност изпълнява тетрадките локално. Скриптът записва изпълнени копия, дневници за всяка тетрадка и results.json в $env:TEMP\aiab-nbval и излиза с брой на неуспешните тестове. Временни…
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অধিকারিক নির্দেশনা — সঠিকভাবে অনুসরণ করুন এই স্কিলটি Azure OpenAI চ্যাট সম্পূর্ণতা ব্যবহৃত পাইথন কোডবেসগুলোকে একীভূত Responses API তে মাইগ্রেট করে। এই নির্দেশনাগুলো যথাযথভাবে অনুসরণ করুন। প্যারামিটার ম্যাপিংস ইম্প্রোভাইজ করবেন না বা API আকৃতি উদ্ভাবন করবেন না। যখন ব্যবহারকারী চান, এই স্কিল সক্রিয় করুন: - Azure OpenAI চ্যাট সম্পূর্ণতা থেকে Responses API তে একটি পাইথন অ্যাপ মাইগ্রেট করতে - Azure OpenAI এর বিরুদ্ধে সর্বশেষ API আকৃতির জন্য পাইথন OpenAI SDK ব্যবহার আপগ্রেড করতে - Azure এ Responses প্রয়োজন এমন GPT-5…
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Lesson 16 – Deploying Scalable Agents এর সঙ্গী দক্ষতা। এটি ব্যবহার করে একজন শেখার্থীকে সাহায্য করুন একটি এজেন্টকে প্রোটোটাইপ থেকে এক স্কেলযোগ্য, পর্যবেক্ষণযোগ্য প্রোডাকশন ডেপ্লয়মেন্টে স্থানান্তর করতে। প্রতিটি সুপারিশ পাঠের বিষয়বস্তু এবং চালানোর যোগ্য নোটবুকের উপর ভিত্তি করে রাখুন; ফাউন্ড্রি API উদ্ভাবন করবেন না। যখন একজন শেখার্থী করতে চান তখন এই দক্ষতা সক্রিয় করুন: - মাইক্রোসফট ফাউন্ড্রিতে একটি এজেন্টকে হোস্টেড এজেন্ট হিসেবে মোতায়েন করা এবং সেটিকে ভার্সান/পর্যবেক্ষণযোগ্য করা। - ক্লায়েন্ট-হোস্টেড, হোস্টেড-এজেন্ট, এবং এজেন্ট-ওয়ার্কফ্লো মোতায়েন প্যাটার্নগুলোর মধ্যে নির্বাচন করা। - মডেল…
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