The pipelines/ directory contains Azure DevOps release automation, especially ESRP-backed publishing flows for Python, npm, NuGet, Rust, and Go artifacts. - Treat every pipeline edit as security-sensitive. - Keep secrets, client IDs, key vault names, and certificate identifiers in pipeline secrets or variables, not inline in YAML. - Pin package-install commands to explicit versions where applicable. - Preserve least privilege and existing release gates. - Prefer comments that explain non-obvious ESRP or platform constraints.
The policy decision runtime now ships from the registry as agent-control-spec, rebased on the agent-hooks control contract. This tree is what AGT layers on top of it. core/ is a deprecation shim that keeps the historical agentcontrolspecification_core symbols importable for one release cycle, and sdk/rust/ is AGT's host SDK. Read docs/acs-retarget.md before changing anything here. Use ACS terms when writing issues, docs, tests, and code comments. Do not introduce predecessor project concepts that ACS removed, and do not reintroduce the…
Instructions for GitHub Copilot and other AI coding agents working with the Aspire repository. Aspire provides tools, templates, and packages for building observable, production-ready distributed applications. At its core is an app model that defines services, resources, and connections in a code-first approach. When reviewing a pull request, check whether eng/github-ci/test-trigger-map.yml needs to change if the diff: * Adds, removes, or renames a test project. * Adds or changes a CI job, reusable workflow, or run_* selection gate. * Adds…
This file is for AI coding assistants (GitHub Copilot, Claude Code, Cursor, OpenAI Codex, Gemini CLI, Aider, etc.). It captures project-specific knowledge that isn't obvious from a fresh git clone and which routinely trips up agents. See CONTRIBUTING.md for coding standards (StyleCop rules, error handling, exception logging) — do not duplicate those here. The build scripts (scripts\Build.bat and friends) put build outputs one level up from the git working tree. The Readme documents the recommended clone-into-src\ convention, which matches the…
Alloy is a code generation framework using JSX components. Before working with Alloy code, read the relevant docs from installed packages. Your training data may be outdated — these docs match your installed version.
⚠️ Distro-wide config — changes here affect every component build. (See azldev.toml — distro/ is shared across all projects.) Default upstream: Fedora 43 (in azurelinux.distro.toml). Inherited by all components unless overridden via build.defines:
This repository contains a TypeScript/JavaScript project together with a lite Python SDK. These instructions are for agents like Codex to contribute changes. After your changes you must verify that everything still builds and tests pass. Execute the following commands from the repository root: If you have updated the VS Code extension, please run the extension tests with: Update the component specifications if you have updated the type annotations and documentations of the components. Use clear titles and summaries. Include relevant…
This file provides context and instructions for AI coding agents working on the Microsoft Fluent UI Blazor components library. This is a .NET Blazor component library that provides Fluent UI design system components for Blazor applications. The library wraps Microsoft's official Fluent UI Web Components and provides additional components leveraging the Fluent Design System. Unit tests are in tests/Core/Components/ mirroring the component structure in src/Core/Components/. Follow Conventional Commits:
You are a helpful AI assistant focused on clean, maintainable code and best practices. You prioritize: When working on any task, always consider the broader project context from project info. This is a demonstration project showcasing APM (Agent Primitives Manager) primitives compilation into AGENTS.md format. TypeScript Development Standards Use strict TypeScript configuration and prefer interfaces over types for object shapes. Implement proper generic constraints and avoid any type. Code Structure - Use barrel exports for clean imports - Implement proper…
PhiCookBook is a comprehensive cookbook repository containing hands-on examples, tutorials, and documentation for working with Microsoft's Phi family of Small Language Models (SLMs). The repository demonstrates various use cases including inference, fine-tuning, quantization, RAG implementations, and multimodal applications across different platforms and frameworks. Key Technologies: - Languages: Python, C#/.NET, JavaScript/Node.js - Frameworks: ONNX Runtime, PyTorch, Transformers, MLX, OpenVINO, Semantic Kernel - Platforms: Microsoft Foundry, GitHub Models, Hugging Face, Ollama - Model Types: Phi-3, Phi-3.5, Phi-4 (text, vision, multimodal, reasoning variants)
PhiCookBook هو مستودع شامل للوصفات يحتوي على أمثلة تطبيقية، ودروس تعليمية، وتوثيقات للعمل مع عائلة Phi من نماذج اللغة الصغيرة (SLMs) التابعة لمايكروسوفت. يعرض المستودع استخدامات متنوعة تشمل الاستدلال، والتخصيص الدقيق، والتكميم، وتنفيذ توليد معزز الاسترجاع (RAG)، والتطبيقات متعددة الوسائط عبر منصات وأطر عمل مختلفة. التقنيات الرئيسية: - اللغات: بايثون، C#/.NET، جافاسكريبت/Node.js - الأُطُر: ONNX Runtime، بايتورش، Transformers، MLX، OpenVINO، Semantic Kernel - المنصات: Microsoft Foundry، نماذج GitHub، Hugging Face، Ollama - أنواع النماذج: Phi-3، Phi-3.5، Phi-4 (نص، رؤية، متعدد…
PhiCookBook е изчерпателно хранилище с готварски рецепти, съдържащо практически примери, уроци и документация за работа със семейството Phi на Microsoft от Малки Езикови Модели (SLMs). Хранилището демонстрира различни случаи на използване, включително извеждане на изводи, фино настройване, квантуване, реализации на RAG и мултимодални приложения на различни платформи и рамки. Ключови технологии: - Езици: Python, C#/.NET, JavaScript/Node.js - Рамки: ONNX Runtime, PyTorch, Transformers, MLX, OpenVINO, Semantic Kernel - Платформи: Microsoft Foundry, GitHub Models, Hugging Face, Ollama - Видове модели: Phi-3, Phi-3.5,…
PhiCookBook হলো একটি সমগ্র কুকবুক রেপোজিটরি যা Microsoft এর Phi পরিবারের ছোট ভাষা মডেল (SLM) এর সাথে কাজ করার জন্য হাতে-কলমে উদাহরণ, টিউটোরিয়াল এবং ডকুমেন্টেশন ধারণ করে। রেপোজিটরিটি বিভিন্ন ব্যবহার ক্ষেত্র প্রদর্শন করে যেমন ইনফারেন্স, ফাইন-টিউনিং, কোয়ান্টাইজেশন, RAG ইমপ্লিমেন্টেশন, এবং বিভিন্ন প্ল্যাটফর্ম ও ফ্রেমওয়ার্ক জুড়ে মাল্টিমোডাল অ্যাপ্লিকেশন। মূল প্রযুক্তি: - ভাষা: Python, C#/.NET, JavaScript/Node.js - ফ্রেমওয়ার্ক: ONNX Runtime, PyTorch, Transformers, MLX, OpenVINO, Semantic Kernel - প্ল্যাটফর্ম: Microsoft Foundry, GitHub Models, Hugging Face, Ollama - মডেল টাইপ: Phi-3, Phi-3.5, Phi-4 (টেক্সট,…
PhiCookBook je komplexní repozitář kuchařek obsahující praktické příklady, návody a dokumentaci pro práci s rodinou malých jazykových modelů (SLM) od Microsoftu Phi. Repozitář demonstruje různé případy použití včetně inferencí, doladění, kvantizace, implementací RAG a multimodálních aplikací na různých platformách a rámcích. Klíčové technologie: - Jazyky: Python, C#/.NET, JavaScript/Node.js - Rámce: ONNX Runtime, PyTorch, Transformers, MLX, OpenVINO, Semantic Kernel - Platformy: Microsoft Foundry, GitHub Models, Hugging Face, Ollama - Typy modelů: Phi-3, Phi-3.5, Phi-4 (textové, vizuální, multimodální, varianty pro uvažování) Struktura…
PhiCookBook er et omfattende opskriftsbibliotek, der indeholder praktiske eksempler, vejledninger og dokumentation til arbejde med Microsofts Phi-familie af Små Sprogmodeller (SLMs). Repositoriet demonstrerer forskellige brugstilfælde, herunder inferens, finjustering, kvantisering, RAG-implementeringer og multimodale applikationer på tværs af forskellige platforme og frameworks. Nøgleteknologier: - Sprog: Python, C#/.NET, JavaScript/Node.js - Frameworks: ONNX Runtime, PyTorch, Transformers, MLX, OpenVINO, Semantic Kernel - Platforme: Microsoft Foundry, GitHub Models, Hugging Face, Ollama - Modeltyper: Phi-3, Phi-3.5, Phi-4 (tekst, vision, multimodal, ræsonneringsvarianter) Repositoriumsstruktur: - /code/ - Arbejdende kodeeksempler…
PhiCookBook ist ein umfassendes Repository für Kochbücher mit praxisnahen Beispielen, Tutorials und Dokumentationen für die Arbeit mit der Phi-Familie von Small Language Models (SLMs) von Microsoft. Das Repository demonstriert verschiedene Anwendungsfälle, darunter Inferenz, Feinabstimmung, Quantisierung, RAG-Implementierungen und multimodale Anwendungen auf unterschiedlichen Plattformen und Frameworks. Wichtige Technologien: - Programmiersprachen: Python, C#/.NET, JavaScript/Node.js - Frameworks: ONNX Runtime, PyTorch, Transformers, MLX, OpenVINO, Semantic Kernel - Plattformen: Microsoft Foundry, GitHub Models, Hugging Face, Ollama - Modelltypen: Phi-3, Phi-3.5, Phi-4 (Text-, Vision-, multimodale und Reasoning-Varianten)
Το PhiCookBook είναι ένα ολοκληρωμένο αποθετήριο συνταγών που περιέχει πρακτικά παραδείγματα, μαθήματα και τεκμηρίωση για τη δουλειά με την οικογένεια Small Language Models (SLMs) της Microsoft Phi. Το αποθετήριο επιδεικνύει διάφορες περιπτώσεις χρήσης, συμπεριλαμβανομένης της εκτέλεσης συμπερασμάτων, της βελτιστοποίησης, της κβαντοποίησης, των υλοποιήσεων RAG και των πολυτροπικών εφαρμογών σε διαφορετικές πλατφόρμες και πλαίσια εργασίας. Βασικές Τεχνολογίες: - Γλώσσες: Python, C#/.NET, JavaScript/Node.js - Πλαίσια εργασίας: ONNX Runtime, PyTorch, Transformers, MLX, OpenVINO, Semantic Kernel - Πλατφόρμες: Microsoft Foundry, GitHub Models, Hugging Face,…
PhiCookBook is a comprehensive cookbook repository containing hands-on examples, tutorials, and documentation for working with Microsoft's Phi family of Small Language Models (SLMs). The repository demonstrates various use cases including inference, fine-tuning, quantization, RAG implementations, and multimodal applications across different platforms and frameworks. Key Technologies: - Languages: Python, C#/.NET, JavaScript/Node.js - Frameworks: ONNX Runtime, PyTorch, Transformers, MLX, OpenVINO, Semantic Kernel - Platforms: Microsoft Foundry, GitHub Models, Hugging Face, Ollama - Model Types: Phi-3, Phi-3.5, Phi-4 (text, vision, multimodal, reasoning variants)
MicrosoftAGENTS.md