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MicrosoftSkill

local-ai-agents

microsoft/ai-agents-for-beginners/translations/th/.agents/skills/local-ai-agents/SKILL.md

ทักษะเสริมสำหรับ บทเรียนที่ 17 – การสร้างเอเจนต์ AI ท้องถิ่น ใช้เพื่อช่วยผู้เรียนสร้างเอเจนต์ที่สามารถคิดวิเคราะห์ เรียกใช้เครื่องมือ และค้นหาข้อมูล เอกสารทั้งหมดบนเครื่องของตนเองโดยไม่ต้องใช้คลาวด์ในการประมวลผล คำแนะนำทุกประการ ต้องอิงตามเนื้อหาบทเรียนและสมุดงานที่สามารถรันได้ เปิดใช้งานทักษะนี้เมื่อผู้เรียนต้องการ: - รันเอเจนต์ ทั้งหมดบนอุปกรณ์ เพื่อความเป็นส่วนตัว ต้นทุน หรือเหตุผลการทำงานแบบออฟไลน์ - ให้บริการโมเดลในเครื่องด้วย Foundry Local และเชื่อมต่อผ่านจุดสิ้นสุดที่เข้ากันได้กับ OpenAI - ใช้โมเดล Qwen ที่เรียกใช้งานฟังก์ชัน เพื่อขับเคลื่อนการเรียกใช้เครื่องมือในเครื่องอย่างเชื่อถือได้ - เพิ่ม local RAG (Chroma) หรือ เซิร์ฟเวอร์ MCP ในเครื่อง - ออกแบบกลยุทธ์การจัดเส้นทางแบบ ไฮบริด ระหว่างท้องถิ่น/คลาวด์ SLM แลกเปลี่ยนความกว้างขวางด้วยความเป็นส่วนตัว ต้นทุน และการทำงานแบบออฟไลน์ กลยุทธ์ที่ชนะคือ: ปล่อยให้ SLM ประสานงาน และให้เครื่องมือทำงานหนัก โมเดลไม่จำเป็นต้อง รู้ โค้ดเบส — เพียงรู้ว่าเมื่อใดควรเรียก read_file และ search_docs ซึ่งเป็นจุดแข็งของ SLM (การตัดสินใจที่จำกัด เช่นการเลือกเครื่องมือ) และหลีกเลี่ยงจุดอ่อน (ความรู้กว้างขวาง การคิดวิเคราะห์ระยะยาวหลายขั้นตอน) RAM ประมาณ 8 GB เป็นขั้นต่ำที่สมเหตุสมผล; GPU/NPU ช่วยได้แต่ไม่จำเป็นต้องมี ชี้ผู้เรียนไปที่สมุดงาน 17-local-agent-foundry-local.ipynb: นี่สะท้อนแนวคิดการจัดเส้นทางโมเดลจากบทที่ 16 โดยที่เวิร์กสเตชันคือหนึ่งในเส้นทาง…

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MicrosoftSkill

microsoft-docs

microsoft/ai-agents-for-beginners/translations/th/.agents/skills/microsoft-docs/SKILL.md

ค้นหาข้อมูลในเอกสารอย่างเป็นทางการของ Microsoft เพื่อค้นหาคอนเซปต์ บทเรียน

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MicrosoftReads credentialsSkill

testing-course-samples

microsoft/ai-agents-for-beginners/translations/th/.agents/skills/testing-course-samples/SKILL.md

ใช้เมื่อต้องการตรวจสอบความถูกต้อง ทดสอบ ทดสอบแบบ smoke-test หรือรันโน้ตบุ๊กและตัวอย่างโค้ดของคอร์สกับการตั้งค่า

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MicrosoftReads credentialsAGENTS.md

ai-agents-for-beginners / tl

microsoft/ai-agents-for-beginners/translations/tl/AGENTS.md

Ang repositoryong ito ay naglalaman ng "AI Agents para sa mga Baguhan" - isang komprehensibong edukasyonal na kurso na nagtuturo ng lahat ng kailangan para makabuo ng AI Agents. Binubuo ang kurso ng 18 na leksyon (may bilang 00-18) na sumasaklaw sa mga pundasyon, disenyo ng mga pattern, mga framework, pag-deploy sa produksyon, mga lokal/on-device na ahente, at seguridad ng mga AI agents. Pangunahing Teknolohiya: - Python 3.12+ - Jupyter Notebooks para sa interaktibong pag-aaral - Mga Framework ng AI:…

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azure-openai-to-responses

microsoft/ai-agents-for-beginners/translations/tl/.agents/skills/azure-openai-to-responses/SKILL.md

Ilipat ang mga Python app mula sa Azure OpenAI Chat Completions papuntang

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MicrosoftSkill

deploying-scalable-agents

microsoft/ai-agents-for-beginners/translations/tl/.agents/skills/deploying-scalable-agents/SKILL.md

Dalhin ang isang gumaganang prototype ng agent sa isang scalable, observable

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MicrosoftSkill

jupyter-notebook

microsoft/ai-agents-for-beginners/translations/tl/.agents/skills/jupyter-notebook/SKILL.md

Gamitin kapag humihiling ang gumagamit na gumawa, mag-scaffold, o mag-edit

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MicrosoftSkill

local-ai-agents

microsoft/ai-agents-for-beginners/translations/tl/.agents/skills/local-ai-agents/SKILL.md

Bumuo ng mga local-first AI agents na tumatakbo nang buong-buo sa isang

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MicrosoftSkill

microsoft-docs

microsoft/ai-agents-for-beginners/translations/tl/.agents/skills/microsoft-docs/SKILL.md

Magsagawa ng pagsasaliksik sa opisyal na dokumentasyon ng Microsoft upang

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MicrosoftReads credentialsSkill

testing-course-samples

microsoft/ai-agents-for-beginners/translations/tl/.agents/skills/testing-course-samples/SKILL.md

Gamitin kapag hiniling na i-validate, subukan, smoke-test, o patakbuhin

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MicrosoftReads credentialsAGENTS.md

ai-agents-for-beginners / tr

microsoft/ai-agents-for-beginners/translations/tr/AGENTS.md

Bu depo, AI Ajanları Oluşturmak İçin Her Şeyi Öğreten kapsamlı bir eğitim kursu olan "Yeni Başlayanlar İçin AI Ajanları"nı içerir. Kurs, temel bilgileri, tasarım kalıplarını, frameworkleri, üretim dağıtımını, yerel/cihaz üstü ajanları ve AI ajanlarının güvenliğini kapsayan 18 dersten (00-18 numaralı) oluşmaktadır. Ana Teknolojiler: - Python 3.12+ - Etkileşimli öğrenme için Jupyter Notebooks - AI Frameworkleri: Microsoft Agent Framework (MAF) - Azure AI Servisleri: Microsoft Foundry, Microsoft Foundry Agent Service V2 Mimari: - Ders tabanlı yapı (00-18 klasörleri) - Her ders…

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azure-openai-to-responses

microsoft/ai-agents-for-beginners/translations/tr/.agents/skills/azure-openai-to-responses/SKILL.md

YETKİLİ REHBER — TAM OLARAK UYUN Bu beceri, Azure OpenAI Chat Completions kullanan Python kod tabanlarını birleşik Responses API'ye taşır. Bu talimatları tam olarak izleyin. Parametre eşlemeleri için doğaçlama yapmayın veya API şekilleri icat etmeyin. Kullanıcı istediğinde bu beceriyi etkinleştirin: - Bir Python uygulamasını Azure OpenAI Chat Completions'dan Responses API'ye taşımak - Python OpenAI SDK kullanımını Azure OpenAI'ye karşı en yeni API şekline yükseltmek - Azure'da Responses gerektiren GPT-5 veya daha yeni modeller için Python kodunu hazırlamak - AzureOpenAI/AsyncAzureOpenAI'den v1…

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MicrosoftSkill

deploying-scalable-agents

microsoft/ai-agents-for-beginners/translations/tr/.agents/skills/deploying-scalable-agents/SKILL.md

Ders 16 – Ölçeklenebilir Ajanlar Dağıtmak için yardımcı beceri. Bir öğrenenin bir ajanı prototip aşamasından ölçeklenebilir, gözlemlenebilir üretim dağıtımına taşırken yardım etmek için kullanın. Her öneriyi ders içeriği ve çalıştırılabilir not defteri ile destekleyin; Foundry API'lerini uydurmayın. Bir öğrenen şu durumlarda bu beceriyi aktif edin: - Bir ajanı Microsoft Foundry'ye barındırılan ajan olarak dağıtmak ve versiyonlamalı/gözlemlenebilir hale getirmek. - istemci barındırmalı, barındırılan ajan ve ajan-iş akışı dağıtım desenleri arasında seçim yapmak. - Gecikme ve maliyeti kontrol etmek için model yönlendirmesi,…

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MicrosoftSkill

jupyter-notebook

microsoft/ai-agents-for-beginners/translations/tr/.agents/skills/jupyter-notebook/SKILL.md

Kullanıcı deneyler, keşifler veya öğreticiler için Jupyter not defterleri

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15 projects use a version of this

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MicrosoftSkill

local-ai-agents

microsoft/ai-agents-for-beginners/translations/tr/.agents/skills/local-ai-agents/SKILL.md

Ders 17 – Yerel AI Ajanları Oluşturma için yardımcı beceri. Bir öğrenicinin tamamen kendi makinesinde düşünen, araçları çağıran ve dokümantasyon araması yapan bir ajan oluşturmasına yardımcı olmak için kullanın — bulut çıkarımı olmadan. Her öneriyi ders içeriği ve çalıştırılabilir not defteri ile temel alın. strateji: SLM'yi düzenleyici olarak bırakın ve ağır işleri araçlara yaptırın. Modelin kod tabanını bilmesi gerekmez — sadece read_file ve search_docs’i ne zaman çağıracağını bilmesi gerekir. Bu, bir SLM'nin güçlü yanına oynar (araç seçimi gibi sınırlı kararlar)…

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MicrosoftSkill

microsoft-docs

microsoft/ai-agents-for-beginners/translations/tr/.agents/skills/microsoft-docs/SKILL.md

Azure, .NET, Agent Framework, Aspire, VS Code, GitHub ve daha fazlası

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testing-course-samples

microsoft/ai-agents-for-beginners/translations/tr/.agents/skills/testing-course-samples/SKILL.md

Ders defterlerinin ve kod örneklerinin canlı bir Microsoft Foundry / Azure OpenAI kurulumu üzerinde çalıştığını doğrulayın. Depo, her Python defterini başsız olarak çalıştıran ve PASS/FAIL matrisi yazdıran scripts/validate-notebooks.ps1 adlı bir çalıştırıcı sağlar. AI Smoke Test GitHub Action (yayınlanmış barındırılan ajanları doğrulayan — bkz. tests/README.md) için kullanmayın. Bu beceri defterleri yerel olarak çalıştırır. Betik, çalıştırılan kopyaları, her-defter günlüklerini ve results.json dosyasını $env:TEMP\aiab-nbval içine yazar ve başarısızlık sayısıyla çıkar. Geçici hatalar (paylaşılan abonelik HTTP 429 hız sınırları, zaman zaman bir AzureCliCredential belirteç…

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MicrosoftReads credentialsAGENTS.md

ai-agents-for-beginners / uk

microsoft/ai-agents-for-beginners/translations/uk/AGENTS.md

Цей репозиторій містить "AI-Агенти для Початківців" - комплексний освітній курс, який навчає всьому необхідному для створення AI-Агентів. Курс складається з 18 уроків (номерованих від 00 до 18), що охоплюють основи, шаблони проєктування, фреймворки, розгортання у виробництві, локальні/пристроєві агенти, а також безпеку AI-агентів. Ключові технології: - Python 3.12+ - Jupyter notebooks для інтерактивного навчання - AI-фреймворки: Microsoft Agent Framework (MAF) - Azure AI сервіси: Microsoft Foundry, Microsoft Foundry Agent Service V2 Архітектура: - Структура на основі уроків (папки 00-18) - Кожен…

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azure-openai-to-responses

microsoft/ai-agents-for-beginners/translations/uk/.agents/skills/azure-openai-to-responses/SKILL.md

АВТОРИТЕТНА ІНСТРУКЦІЯ — ВИКОНУВАТИ ТОЧНО Ця навичка переносить Python-код, що використовує Azure OpenAI Chat Completions, на уніфікований Responses API. Дотримуйтесь цих інструкцій точно. Не імпровізуйте параметри або не вигадуйте форми API. Активуйте цю навичку, коли користувач хоче: - Перенести Python-додаток з Azure OpenAI Chat Completions на Responses API - Оновити використання Python OpenAI SDK до нової форми API для Azure OpenAI - Підготувати Python-код для GPT-5 або новіших моделей, які потребують Responses на Azure - Перейти від AzureOpenAI/AsyncAzureOpenAI до стандартного…

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MicrosoftSkill

deploying-scalable-agents

microsoft/ai-agents-for-beginners/translations/uk/.agents/skills/deploying-scalable-agents/SKILL.md

Компаньйон для навички Урок 16 – Розгортання масштабованих агентів. Використовуйте його, щоб допомогти навчаючому перенести агента з прототипу до масштабованого, спостережуваного розгортання у виробництві. Кожну рекомендацію базуйте на змісті уроку та працездатній блокноті; не вигадуйте API Foundry. Активуйте цю навичку, коли навчаючий хоче: - Розгорнути агента в Microsoft Foundry як хостований агент і зробити його версійованим/спостережуваним. - Обрати між патернами розгортання клієнт-хостований, хостований агент та agent-workflow. - Додати маршрутизацію моделі, кешування відповідей або обмежену паралельність для контролю затримок та вартості.…

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CLAUDE.md vs AGENTS.md

Agent instruction files

What are agent instruction files?

Plain text files in a repository that tell a coding agent how the project works: commands to run, conventions to follow and things to avoid. CLAUDE.md, AGENTS.md, cursor rules and skills are the common kinds.

CLAUDE.md or AGENTS.md?

CLAUDE.md is read by Claude Code. AGENTS.md is an open format that Codex, Cursor and other agents read. Many projects keep one and point the other at it.

What is a skill?

A folder with a SKILL.md that describes one capability, such as filling PDFs or reviewing code. The agent loads it only when the task calls for it.

Can I search my own team's files too?

Your agents already can, over MCP, limited to the files you're allowed to read. Searching them from this page is coming.