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Agent Host E2e Tests · microsoft
Use when writing, recording, updating, validating, or troubleshooting the agent host end-to-end tests under src/vs/platform/agentHost/test/node/e2e (black-box tests that drive the whole agent host over the AHP protocol, using a CapiReplayProxy record/replay system for Claude/Copilot/Codex). Covers adding a cross-provider test, re-recording fixtures after an SDK bump, cross-platform Azure validation, gating non-deterministic or platform-specific tests, and diagnosing replay cache misses.

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Cpu Profile Analysis · microsoft
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-*.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating user timing marks.

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Validate UI Scenario · microsoft
Use when reproducing a UI bug or verifying a fix by driving a real VS Code window end to end and capturing evidence. Writes a scenario file, runs it against a dev build or installed Insiders, and produces a captioned video, per-step screenshots, a Playwright trace, and an HTML report to attach to an issue or pull request.

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Vscode Dev Workbench · microsoft
Use when the user wants to run the vscode.dev server locally and exercise the VS Code workbench or Agents window in the integrated browser against the local `microsoft/vscode` sources. Covers starting the dev server, the `vscode-quality=dev` URL, browser-driven interaction patterns, and optionally wiring up a local mock agent host for the Agents window.

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Troubleshoot · microsoft
Investigate unexpected behavior in the current Copilot agent session by analyzing its event log. Use when the user asks why something happened, why a request was slow, why a tool was or was not used, or why instructions/skills/agents did not load.

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Rai Standards · microsoft
Consolidated Responsible AI standards reference: NIST AI RMF 1.0, AI STRIDE threat-modeling overlay, EU AI Act risk tiers, and an open-standards catalog with phase mapping

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Rpi Implement · microsoft
Execute an approved RPI plan, maintain current planning state, and record implementation evidence. Use when implementation is ready to begin or resume.

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Rpi Research · microsoft
Research-only RPI playbook that gathers task evidence, writes dated research artifacts under .copilot-tracking/research/, and hands off planning-ready findings. Use when the user needs evidence, alternatives, or task framing first.

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Auto Perf Optimize · microsoft
Run agent-driven VS Code performance or memory investigations. Use when asked to launch Code OSS, automate a VS Code scenario, run the Chat memory smoke runner, capture renderer heap snapshots, take workflow screenshots, compare run summaries, or drive a repeatable scenario before heap-snapshot analysis.

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Component Fixtures · microsoft
Use when creating or updating component fixtures for screenshot testing, or when designing UI components to be fixture-friendly. Covers fixture file structure, theming, service setup, CSS scoping, async rendering, and common pitfalls.

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Integrated Browser · microsoft
Use this when working on the VS Code integrated browser ("browserView") to understand its architecture and mental model. Covers the embedded Chromium browser, its editor tab, navigation, overlay/layout, sessions, and agent browser tools under `src/vs/platform/browserView` and `src/vs/workbench/contrib/browserView`.

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Update Screenshots · microsoft
Update the committed blocks-ci screenshot hashes after the "Screenshots & Tests" check fails, or investigate a screenshot diff reported on a PR. Use when asked to update, accept, or refresh component screenshot baselines from CI. This skill should be run as a subagent.

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Design Philosophy · microsoft
The VS Code design philosophy — a shared Values→Principles→Moves vocabulary for reasoning about UI in design terms instead of raw pixels. Use when designing, building, reviewing, or giving feedback on any visual surface; when deciding a radius, spacing, type role, icon size, border, color, or motion; or when translating a "this feels off" observation into a concrete, principled fix.

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Feedback Learning · microsoft
Classify and record explicit corrective feedback without turning skills or instructions into append-only knowledge dumps.

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Flaky Smoke Tests · microsoft
Diagnose intermittent VS Code Electron smoke-test failures from the Azure DevOps Flaky Smoke Tests pipeline (definition 700). Covers finding failed iterations, downloading task logs and platform artifacts with Azure CLI, correlating cumulative runner logs, tracing the introducing commit, and queueing focused validation runs.

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Integration Tests · microsoft
Use when running integration tests in the VS Code repo. Covers scripts/test-integration.sh (macOS/Linux) and scripts/test-integration.bat (Windows), their supported arguments for filtering, and the difference between node.js integration tests and extension host tests.

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Memory Leak Audit · microsoft
Audit code for memory leaks and disposable issues. Use when reviewing event listeners, DOM handlers, lifecycle callbacks, or fixing leak reports. Covers addDisposableListener, Event.once, MutableDisposable, DisposableStore, and onWillDispose patterns.

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Agent Lightning · microsoft bundle
Provides the action space, tradeoffs, and evaluation context for improving an editable AI agent against a benchmark while preserving its deployment contract. Use when optimizing agent accuracy, cost, latency, or reliability.

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Rpi Review · microsoft
Compare RPI planning and implementation evidence, record review findings, and route follow-up work. Use when an implementation needs acceptance review.

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Update Codex Sdk · microsoft bundle
Update VS Code's bundled @openai/codex dependency to a version available from the private VS Code npm feed, regenerate its protocol client, run the relevant tests, and verify the Codex Agent Host in a launched Code OSS window. Use for bundled Codex SDK/CLI version bumps in the VS Code repository.

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Rpi Quick · microsoft
Sequence Research, Plan, Implement, Review, and Follow-up for an RPI task. Use when one workflow should coordinate the full delivery lifecycle.

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Mcsb · microsoft
Microsoft Cloud Security Benchmark (MCSB v2) control-domain taxonomy and NIST 800-53 / CIS Controls crosswalk for planning and reviewing Azure cloud resources.

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Agent Host Logs · microsoft
Analyze Agent Host debug log exports. Use when given an ah-logs or ahp-logs zip/folder, an Export Agent Host Debug Logs bundle, events.jsonl, AHP JSONL transport logs, Agent Host.log, remote-agenthost.log, or copilot-logs.

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Azure Pipelines · microsoft
Use when validating Azure DevOps pipeline changes for the VS Code build. Covers queueing builds, checking build status, viewing logs, and iterating on pipeline YAML changes without waiting for full CI runs.

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Fix CI Failures · microsoft
Investigate and fix CI failures on a pull request. Use when CI checks fail on a PR branch — covers finding the PR, identifying failed checks, downloading logs and artifacts, extracting the failure cause, and iterating on a fix. Requires the `gh` CLI.

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Rpi Plan · microsoft
Create one evidence-based RPI implementation plan from supplied context, research, drafts, and decisions. Use when implementation planning is needed.

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Vex · microsoft bundle
OpenVEX v0.2.0 specification reference plus VEX management playbooks - Brought to you by microsoft/hve-core.

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Fix CI · microsoft
Fix the failed CI checks for the current session. Use when the user requests a CI fix via the Fix Checks button in the Changes toolbar.

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Code Oss Logs · microsoft
Find and read timestamped process logs from Code OSS dev builds, including main.log, renderer.log, extension host logs, and agenthost.log. For bundles produced by Export Agent Host Debug Logs, use agent-host-logs.

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UX CSS Layout · microsoft
VS Code CSS conventions, file organization, class naming, standard sizes, SplitView/Grid layout, scrollable content, responsive layout, and text overflow/ellipsis patterns. Use when writing CSS, building layouts, or fixing text truncation issues.

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Sync · microsoft
Sync the current session branch with its upstream branch, or publish the current session branch to a remote. Use when the user asks to sync a branch, pull latest changes, rebase onto upstream, push current branch, publish branch, or set upstream.

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Smoke Tests · microsoft
Use when running VS Code smoke tests or working on smoke-test CI steps. Covers npm run smoketest / smoketest-no-compile, grep filtering tests, and a temporary repeat-loop technique for tracking down flaky smoke tests in CI.

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Sweeper Fix · microsoft
Implement a VS Code Sweeper fix spec — fetch the sweeper's agent-fixable review record from its public state repo, implement the narrow fix in the current vscode checkout, and — after showing the diff — open a draft PR. Use ONLY when the request explicitly asks for the sweeper — "sweeper-fix", "sweeper", "vscodesweeper", a sweeper record, or a sweeper fix spec. Do NOT use for a plain "fix this issue" request that doesn't mention the sweeper; fix those directly with your normal tools instead.

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Unit Tests · microsoft
Use when running unit tests in the VS Code repo. Covers the runTests tool, scripts/test.sh (macOS/Linux) and scripts/test.bat (Windows), and their supported arguments for filtering, globbing, and debugging tests.

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UX Theming · microsoft
VS Code theming, color tokens, widget styles, focus indicators, and high-contrast theme support. Use when registering colors, styling widgets with theme tokens, or ensuring HC/focus compliance.

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Otel · microsoft
OpenTelemetry guidance for VS Code agent experiences. Use when changing Agent Host telemetry, local Copilot Chat telemetry, provider-native spans or metrics, OTel settings and managed policy, trace persistence/export, or monitoring documentation.

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Deploying Scalable Agents 12 · microsoft
Aktivirajte ovu vještinu kada učenik želi: - Implementirati agenta u Microsoft Foundry kao hostanog agenta i učiniti ga verzioniranim/promatrivim. - Izabrati između obrazaca implementacije client-hosted, hosted-agent i agent-workflow. - Dodati usmjeravanje modela, keširanje odgovora ili ograničenu konkurentnost za kontrolu latencije i troškova. - Dodati vratilo za evaluaciju tako da se loša verzija agenta ne može isporučiti.

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Deploying Scalable Agents 13 · microsoft
Ezt a készséget aktiváld, ha egy tanuló szeretne: - Egy ügynököt Microsoft Foundry-ba telepíteni hostolt ügynökként, és verziózást/megjeleníthetőséget biztosítani. - Választani a kliens-oldali hosztolt, hostolt ügynök és ügynök-munkafolyamat telepítési minták között. - Hozzáadni modell irányítást, válasz gyorsítótárazást, vagy kötött konkurenciát a késleltetés és költség szabályozására.

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Deploying Scalable Agents 14 · microsoft
Aktifkan keterampilan ini ketika pembelajar ingin: - Mendeploy agen ke Microsoft Foundry sebagai agen yang dihosting dan membuatnya versi/terobservasi. - Memilih antara pola deploy client-hosted, hosted-agent, dan agent-workflow. - Menambahkan routing model, penyimpanan respons (response caching), atau konkurensi terbatas untuk mengontrol latensi dan biaya. - Menambahkan gerbang evaluasi supaya versi agen yang buruk tidak dikirim.

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Deploying Scalable Agents 15 · microsoft
학습자가 다음을 원할 때 이 스킬을 활성화하세요: - 에이전트를 Microsoft Foundry에 호스팅된 에이전트로 배포하고 버전 관리 및 관찰 가능하게 만들기. - 클라이언트 호스팅, 호스팅 에이전트, 에이전트 워크플로우 배포 패턴 중 선택. - 지연 시간과 비용을 제어하기 위해 모델 라우팅, 응답 캐싱, 또는 유한 동시성 추가. - 불량 에이전트 버전이 배포되지 않도록 하는 평가 게이트 추가. - 고위험 작업에 대해 사람 개입 승인 절차 추가. - 운영 관찰성을 위해 에이전트를 OpenTelemetry 추적 도구로 계측. - 배포 후 빠른 검증을 위한 스모크 테스트 실행.

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Deploying Scalable Agents 16 · microsoft
जब सिक्ने व्यक्तिले चाहन्छन् तब यो कौशल सक्रिय गर्नुहोस्: - एजेन्टलाई माइक्रोसफ्ट फाउन्ड्रीमा होस्ट गरिएको एजेन्ट रूपमा परिनियोजन गर्नुहोस् र यो संस्करण/अवलोकनीय बनाएर राख्नुहोस्। - क्लाइन्ट-होस्टेड, होस्टेड-एजेन्ट, र एजेन्ट-वर्कफ्लो परिनियोजन ढाँचाहरू बीच छान्नुहोस्। - ढिलाइ र लागत नियन्त्रण गर्न मोडेल राउटिङ, प्रतिक्रिया क्यासिङ, वा सीमित समवर्तीता थप्नुहोस्। - नराम्रो एजेन्ट संस्करण पठाउन नदिनको लागि मूल्यांकन गेट थप्नुहोस्।

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Deploying Scalable Agents 17 · microsoft
Activeer deze vaardigheid wanneer een leerling wil: - Een agent uitrollen naar Microsoft Foundry als een gehoste agent en deze versieerbaar/observeerbaar maken. - Kiezen tussen client-hosted, hosted-agent, en agent-workflow uitrolpatronen. - Model routing, response caching of begrensde gelijktijdigheid toevoegen om latentie en kosten te beheersen. - Een evaluatiepoort toevoegen zodat een slechte agentversie niet wordt uitgerold.

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Deploying Scalable Agents 18 · microsoft
Aktiver denne ferdigheten når en elev ønsker å: - Distribuere en agent til Microsoft Foundry som en hostet agent og gjøre den versjonert/observerbar. - Velge mellom klient-hostet, hostet-agent, og agent-arbeidsflyt distribusjonsmønstre. - Legge til modellruting, respons-caching, eller begrenset samtidighet for å kontrollere ventetid og kostnad. - Legge til en evalueringsport slik at en dårlig agentversjon ikke kan distribueres.

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Deploying Scalable Agents 19 · microsoft
'Take one working agent prototype go scalable, observable production deployment for Microsoft Foundry. E cover 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 one agent go production, scale one 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 one 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 /...

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Deploying Scalable Agents 20 · microsoft
Aktywuj tę umiejętność, gdy uczący się chce: - Wdrożyć agenta w Microsoft Foundry jako hostowanego agenta i uczynić go wersjonowanym/obserwowalnym. - Wybrać między wzorcami wdrożenia hostowane przez klienta, hostowanego agenta oraz agent-workflow. - Dodać rutowanie modelu, buforowanie odpowiedzi lub ograniczoną współbieżność, aby kontrolować opóźnienia i koszty. - Dodać bramkę oceny, aby zła wersja agenta nie została wysłana.

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Deploying Scalable Agents 21 · microsoft
Activează această competență când un cursant dorește să: - Implementeze un agent în Microsoft Foundry ca agent găzduit și să-l facă versionat/observabil. - Aleagă între modele de implementare client-hosted, hosted-agent și agent-workflow. - Adauge routare de model, stocare în cache a răspunsurilor, sau concurență limitată pentru a controla latența și costul. - Adauge o poartă de evaluare pentru ca o versiune proastă a agentului să nu fie livrată.

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Deploying Scalable Agents 22 · microsoft
Активируйте это умение, когда учащийся хочет: - Развернуть агента в Microsoft Foundry как хостинг-агента и сделать его версионированным/наблюдаемым. - Выбрать между паттернами развертывания клиент-хостинг, хостинг-агент и агент-воркфлоу. - Добавить маршрутизацию моделей, кэширование ответов или ограниченную конкуренцию для контроля задержки и стоимости. - Добавить пропускной контроль оценки, чтобы плохая версия агента не была выпущена.

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Deploying Scalable Agents 23 · microsoft
Aktivirajte to veščino, ko učenec želi: - Izvesti agenta v Microsoft Foundry kot gostujočega agenta in ga narediti verzioniranega/opaznega. - Izbirati med odjemalsko-gostovan, gostujoči agent in agentni delovni tok vzorci. - Dodati usmerjanje modela, predpomnjenje odgovorov ali omejeno sočasnost za nadzor zakasnitve in stroškov. - Dodati ocenjevalno pregrado, da slaba verzija agenta ne lahko pride v produkcijo.

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Deploying Scalable Agents 24 · microsoft
Активирајте ову вештину када ученик жели да: - Распореди агента у Microsoft Foundry као домаћинског агента и учини га верзионисаним/посматраним. - Изабере између образаца распоређивања client-hosted, hosted-agent и agent-workflow. - Дода моделско рутирање, кеширање одговора или ограничену конкурентност за контролу латенције и трошкова. - Дода капију за процену тако да лоша верзија агента не може бити испоручена.

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Deploying Scalable Agents 25 · microsoft
Aktivera denna färdighet när en lärande vill: - Distribuera en agent till Microsoft Foundry som en hostad agent och göra den versionshanterad/observerbar. - Välja mellan klienthostad, hostad agent och agentarbetsflöde distributionsmönster. - Lägg till modellroutning, svarscachning eller begränsad samtidighet för att kontrollera latens och kostnad. - Lägg till en utvärderingsgrind så att en dålig agentversion inte kan levereras.

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Deploying Scalable Agents 26 · microsoft
Washa ujuzi huu wakati mwanafunzi anapotaka: - Kueneza wakala kwenye Microsoft Foundry kama wakala aliyehifadhiwa na kuufanya uwe na matoleo/uwezekano wa kuonekana. - Kuchagua kati ya mifumo ya uenezi ya mteja-aliyahifadhiwa, wakala aliyehifadhiwa, na mtiririko wa kazi wa wakala. - Ongeza upaliliaji wa mfano, uhifadhi wa majibu, au udhihirisho wa concurrency uliopimwa kudhibiti ucheleweshaji na gharama.

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Deploying Scalable Agents 27 · microsoft
లెర్నర్ ఈ క్రింద ఉన్నప్పుడు ఈ నైపుణ్యాన్ని సక్రియం చేయండి: - ఏజెంట్‌ను Microsoft Foundryలో హోస్టెడ్ ఏజెంట్గా అమలు చేయడం మరియు అది వెర్షన్‌డ్/ఆబ్జర్వబుల్‌గా ఉండేలా చేయడం. - క్లయింట్-హోస్టెడ్, హోస్టెడ్ ఏజెంట్, మరియు ఏజెంట్-వర్క్‌ఫ్లో పంపిణీ నమూనాల మధ్య ఎంపిక చేయడం. - లేటెన్సీ మరియు ఖర్చులను నియంత్రించేందుకు మోడల్ రౌటింగ్, రిస్తాంప్ కాషింగ్, లేదా బౌండెడ్ కన్కరెన్సీ జోడించడం. - ఒక చెడ్డ ఏజెంట్ వెర్షన్ పంపిణీ కానప్పుడు నిలిపివేయడానికి ఇవాల్యుయేషన్ గేట్ జోడించడం.

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Deploying Scalable Agents 28 · microsoft
'Dalhin ang isang gumaganang prototype ng agent sa isang scalable, observable na production deployment sa Microsoft Foundry. Saklaw nito ang mga deployment pattern (client-hosted, hosted agents, agent workflows), ang lifecycle ng agent, model routing, response caching, evaluation gates, human-in-the-loop approval, observability gamit ang OpenTelemetry, cost optimisation, at smoke-testing ng mga deployed na agent gamit ang AI Smoke Test action. Batay sa Lesson 16 ng AI Agents for Beginners. GAMITIN PARA SA: pag-deploy ng agent sa production, pag-scale ng 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 ng hosted agent, production customer support agent. HUWAG GAMITIN PARA SA: pagbuo ng iyong unang agent (simulan...

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Deploying Scalable Agents 29 · microsoft
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, yanıt önbellekleme veya sınırlı eşzamanlılık eklemek. - Kötü bir ajan sürümünün piyasaya sürülmesini önlemek için bir değerlendirme kapısı eklemek.

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Deploying Scalable Agents 30 · microsoft
اس مہارت کو اس وقت فعال کریں جب ایک سیکھنے والا چاہتا ہو: - ایک ایجنٹ کو مائیکروسافٹ فاؤنڈری پر ہوسٹڈ ایجنٹ کے طور پر تعینات کرے اور اسے ورژن شدہ/قابل مشاهدا بنائے۔ - کلائنٹ-ہوسٹڈ، ہوسٹڈ-ایجنٹ، اور ایجنٹ-ورک فلو تعیناتی کے نمونوں میں انتخاب کرے۔ - ماڈل روٹنگ، ردعمل کیشنگ، یا حد بندی ہم وقتی عمل شامل کرے تاکہ تاخیر اور لاگت کو کنٹرول کیا جا سکے۔ - ایک تقدیر کا گیٹ شامل کرے تاکہ خراب ایجنٹ ورژن کو تعینات نہ کیا جا سکے۔

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Deploying Scalable Agents 31 · microsoft
当学习者想要时激活此技能： - 将代理部署到 Microsoft Foundry 作为托管代理，并使其具有版本管理/可观察性。 - 在客户端托管、托管代理和代理工作流部署模式之间做选择。 - 添加 模型路由、响应缓存 或 有边界并发 以控制延迟和成本。 - 添加评估门控，避免错误的代理版本投产。 - 为高风险操作添加人机审核步骤。 - 使用 OpenTelemetry 追踪为生产环境代理添加监测。 - 对已部署代理进行冒烟测试，作为快速的部署后门控。

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Deploying Scalable Agents 32 · microsoft
當學習者希望： - 將代理部署到 Microsoft Foundry 作為託管代理，並使其具備版本控制／可觀察性。 - 在用戶端主機、託管代理和代理工作流部署模式間做選擇。 - 添加模型路由、響應緩存或有界併發性來控制延遲和成本。 - 添加評估門檻，防止不良代理版本上線。 - 為高風險操作添加人工審核批准步驟。 - 使用OpenTelemetry追踪為生產環境儀表化代理。 - 部署後以煙霧測試快速檢驗代理。

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Azure Openai To Responses 19 · microsoft bundle
Aktiváld ezt a készséget, amikor a felhasználó azt szeretné, hogy: - Python alkalmazást migráljon az Azure OpenAI Chat Completions-ről a Responses API-re - Frissítse a Python OpenAI SDK használatát a legújabb API alakra Azure OpenAI ellen - Felkészítse a Python kódot GPT-5 vagy újabb modellekhez, amelyek Responses API-t igényelnek az Azure-on - Váltson az AzureOpenAI/AsyncAzureOpenAI-ról a szabványos OpenAI/AsyncOpenAI kliensre az v1 végponton

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Azure Openai To Responses 20 · microsoft bundle
Aktifkan skill ini ketika pengguna ingin: - Memigrasi aplikasi Python dari Azure OpenAI Chat Completions ke Responses API - Memperbarui penggunaan SDK Python OpenAI ke bentuk API terbaru terhadap Azure OpenAI - Mempersiapkan kode Python untuk model GPT-5 atau yang lebih baru yang memerlukan Responses di Azure - Beralih dari AzureOpenAI/AsyncAzureOpenAI ke klien standar OpenAI/AsyncOpenAI dengan endpoint v1

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Azure Openai To Responses 21 · microsoft bundle
Attiva questa skill quando un utente vuole: - Migrare un'app Python da Azure OpenAI Chat Completions all'API Responses - Aggiornare l'uso del Python OpenAI SDK all'ultima forma API contro Azure OpenAI - Preparare codice Python per modelli GPT-5 o più recenti che richiedono Responses su Azure - Passare da AzureOpenAI/AsyncAzureOpenAI al client standard OpenAI/AsyncOpenAI con endpoint v1 - Risolvere avvisi di deprecazione relativi a costruttori AzureOpenAI o apiversion

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Azure Openai To Responses 22 · microsoft bundle
ユーザーが以下を望むときにこのスキルを有効にします: - Azure OpenAI Chat Completions から Responses API へ Python アプリを移行する - Python の OpenAI SDK の使用を最新の Azure OpenAI 用 API 形状にアップグレードする - Azure で Responses が必要な GPT-5 以降のモデルに備えて Python コードを準備する - AzureOpenAI/AsyncAzureOpenAI から標準の OpenAI/AsyncOpenAI クライアントの v1 エンドポイントに切り替える - AzureOpenAI のコンストラクターや apiversion に関する廃止警告を修正する

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Azure Openai To Responses 23 · microsoft bundle
សកម្មភាពជំនាញនេះនៅពេលដែលអ្នកប្រើប្រាស់ចង់: - ផ្លាស់ប្តូរកម្មវិធី Python ពី Azure OpenAI Chat Completions ទៅ Responses API - បន្ថែមការប្រើប្រាស់ Python OpenAI SDK ទៅរូបរាង API ថ្មី ដែលឆ្លošបញ្ចូលជាមួយ Azure OpenAI - ត្រៀមកូដ Python សម្រាប់ម៉ូដែល GPT-5 ឬថ្មីជាងដែលទាមទារ Responses នៅលើ Azure - ផ្លាស់ពី AzureOpenAI/AsyncAzureOpenAI ទៅ client OpenAI/AsyncOpenAI ផ្លូវការដោយប្រើចំណុចបញ្ចប់ v1 - កែបញ្ហាផ្សព្វផ្សាយថា AzureOpenAI constructors ឬ apiversion

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Azure Openai To Responses 24 · microsoft bundle
ಬಳಕೆದಾರರು ಈ ಕೆಳಗಿನ ಕಾರ್ಯಗಳನ್ನು ಆಚರಿಸಲು ಆಕಾಂಕ್ಷಿಸುವಾಗ ಈ ಕೌಶಲ್ಯ ಸಕ್ರಿಯಗೊಳ್ಳುತ್ತದೆ: - ಅಜೂರ್ ಓಪನ್‌ಎಐ ಚಾಟ್ ಪೂರ್ಣಗೊಳಿಸುವಿಕೆಗಳಿಂದ ಪ್ರತಿಕ್ರಿಯೆಗಳ API ಗೆ ಪೈಥಾನ್ ಅಪ್ಲಿಕೇಶನ್ ಅನ್ನು ವರ್ಗಾಯಿಸುವುದು - ಅಜೂರ್ ಓಪನ್‌ಎಐ ವಿರುದ್ಧ ಇತ್ತೀಚಿನ API ರೂಪಕ್ಕೆ ಪೈಥಾನ್ ಓಪನ್‌ಎಐ SDK ಬಳಕೆಯನ್ನು ನವೀಕರಿಸುವುದು - ಅಜೂರ್‌ನಲ್ಲಿ ಪ್ರತಿಕ್ರಿಯೆಗಳು ಬೇಕಾದ GPT-5 ಅಥವಾ ಹೊಸ ಮಾದರಿಗಾಗಿ ಪೈಥಾನ್ ಕೋಡ್ ತಯಾರಿಸುವುದು - AzureOpenAI/AsyncAzureOpenAI ನಿಂದ ಸಾಂಪ್ರದಾಯಿಕ OpenAI/AsyncOpenAI ಕ್ಲೈಂಟ್ ಮತ್ತು v1 ಎಂಡ್ಪಾಯಿಂಟ್‌ಗೆ ಪರಿವರ್ತಿಸುವುದು

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Azure Openai To Responses 25 · microsoft bundle
사용자가 다음 동작을 원할 때 이 스킬을 활성화하세요: - Azure OpenAI 채팅완성에서 Responses API로 파이썬 앱 마이그레이션 - Azure OpenAI를 대상으로 파이썬 OpenAI SDK를 최신 API 형태로 업그레이드 - Responses가 필요한 GPT-5 이상 모델을 위해 파이썬 코드 준비 - AzureOpenAI/AsyncAzureOpenAI에서 v1 엔드포인트를 사용하는 표준 OpenAI/AsyncOpenAI 클라이언트로 전환 - AzureOpenAI 생성자 혹은 apiversion 관련 사용 중단 경고 해결

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Azure Openai To Responses 26 · microsoft bundle
Aktyvinkite šį įgūdį, kai vartotojas nori: - Perkelti Python programėlę iš Azure OpenAI Chat Completions į Responses API - Atnaujinti Python OpenAI SDK naudojimą iki naujausios API formos Azure OpenAI atžvilgiu - Paruošti Python kodą GPT-5 ar naujesniems modeliams, kuriems reikia Responses Azure platformoje - Pereiti nuo AzureOpenAI/AsyncAzureOpenAI prie standartinio OpenAI/AsyncOpenAI kliento su v1 endpoint’u

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Azure Openai To Responses 27 · microsoft bundle
ഉപയോക്താവ് താഴെപ്പറഞ്ഞതിൽ заинтересованы വച്ചാൽ ഈ സ്കിൽ സജീവമാക്കുക: - Azure OpenAI ചാറ്റ് പൂർത്തീകരണങ്ങളിൽനിന്ന് Responses API-യിലേക്ക് Python ആപ്പ് മൈഗ്രേറ്റ് ചെയ്യുക - Python OpenAI SDK ഉപയോഗം Azure OpenAI-യെതിരെ ഏറ്റവും പുതിയ API ആകൃതിയിലേക്ക് അപ്ഗ്രേഡ് ചെയ്യുക - Responses ആവശ്യമായ GPT-5 അല്ലെങ്കിൽ പുതിയ മോഡലുകൾക്കായി Python കോഡ് തയ്യാറാക്കുക - AzureOpenAI/AsyncAzureOpenAI-ഇൽനിന്ന് സ്റ്റാൻഡേർഡ് OpenAI/AsyncOpenAI ക്ലയന്റ് v1 എൻഡ്‌പോയിന്റിലേക്ക് മാറ്റുക

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Azure Openai To Responses 28 · microsoft bundle
वापरकर्ता जेव्हा इच्छितो तेव्हा हा कौशल्य सक्रिय करा: - Azure OpenAI Chat Completions कडून Responses API कडे Python अ‍ॅप स्थलांतर करा - Azure OpenAI विरुद्ध नवीनतम API स्वरूपासाठी Python OpenAI SDK वापर सुधारित करा - GPT-5 किंवा नवीन मॉडेलसाठी Python कोड तयार करा ज्यांना Azure वर Responses API ची आवश्यकता आहे - AzureOpenAI/AsyncAzureOpenAI कडून मानक OpenAI/AsyncOpenAI क्लायंटकडे v1 एंडपॉइंटसह बदला

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Azure Openai To Responses 29 · microsoft bundle
'Migrasi aplikasi Python dari Azure OpenAI Chat Completions ke Responses API. Meliputi migrasi klien AzureOpenAI/AsyncAzureOpenAI ke endpoint v1, penstriman, alat, output berstruktur, multi-sesi, pengesahan EntraID, dan pemeriksaan keserasian model. Berfokus pada Python dan khusus untuk Azure OpenAI. GUNA UNTUK: migrasi ke responses API, bertukar dari chat completions, openai responses, peningkatan openai SDK, migrasi responses API, berpindah dari completions ke responses, migrasi gpt-5, migrasi python azure openai, chat completions ke responses, AzureOpenAI ke klien OpenAI, peningkatan python azure openai. JANGAN GUNA UNTUK: membina aplikasi baru dari awal (mulakan terus dengan responses), migrasi Node/TypeScript/C#/Java/Go (kemahiran ini hanya untuk Python), persediaan infrastruktur Azure (guna azure-prepare), penyebaran model (guna microsoft-foundry).'

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Azure Openai To Responses 30 · microsoft bundle
အသုံးပြုသူသည် အောက်ပါအချက်များကို လုပ်ဆောင်လိုသောအခါ ဤကျွမ်းကျင်မှုကို စတင်ပါ။ - Python အက်ပ်ကို Azure OpenAI Chat Completions မှ Responses API သို့ ပြောင်းရွှေ့ရန် - Python OpenAI SDK အသုံးပြုမှုကို Azure OpenAI အတွက် နောက်ဆုံး API ပုံစံသို့ တိုးမြှင့်ရန် - Responses များအတွက် ပြင်ဆင်ထားရန် GPT-5 သို့မဟုတ်ပိုမိုသစ်သော မော်ဒယ်များအတွက် Python ကုဒ်ပြင်ဆင်ရန် - AzureOpenAI/AsyncAzureOpenAI မှ ပြောင်းလဲ၍ OpenAI/AsyncOpenAI စံနမူနာ client ကို v1 endpoint နှင့်အသုံးပြုရန်

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Azure Openai To Responses 31 · microsoft bundle
प्रयोगकर्ताले चाहेको बेला यो स्किल सक्रिय गर्नुहोस्: - Azure OpenAI Chat Completions बाट Responses API मा Python अनुप्रयोग माइग्रेसन गर्न - Azure OpenAI विरुद्ध Python OpenAI SDK प्रयोगलाई नवीनतम API आकृति तर्फ अपग्रेड गर्न - Azure मा Responses आवश्यक पर्ने GPT-5 वा नयाँ मोडेलहरूको लागि Python कोड तयार पार्न - AzureOpenAI/AsyncAzureOpenAI बाट मानक OpenAI/AsyncOpenAI क्लाइन्टसँग v1 अन्तबिन्दुमा सर्न

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Azure Openai To Responses 32 · microsoft bundle
Activeer deze skill wanneer de gebruiker wil: - Een Python-app migreren van Azure OpenAI Chat Completions naar Responses API - Gebruik van Python OpenAI SDK upgraden naar de nieuwste API-structuur tegen Azure OpenAI - Python-code voorbereiden voor GPT-5 of nieuwere modellen die Responses op Azure vereisen - Overschakelen van AzureOpenAI/AsyncAzureOpenAI naar de standaard OpenAI/AsyncOpenAI client met de v1 endpoint

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Azure Openai To Responses 33 · microsoft bundle
Aktiver denne ferdigheten når brukeren ønsker å: - Migrere en Python-app fra Azure OpenAI Chat Completions til Responses API - Oppgradere Python OpenAI SDK-bruk til den nyeste API-strukturen mot Azure OpenAI - Forberede Python-kode for GPT-5 eller nyere modeller som krever Responses på Azure - Bytte fra AzureOpenAI/AsyncAzureOpenAI til standard OpenAI/AsyncOpenAI klient med v1-endepunktet - Fikse foreldelsesvarsler relatert til AzureOpenAI-konstruktører eller apiversion

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Azure Openai To Responses 34 · microsoft bundle
ਇਸ ਸਕਿਲ ਨੂੰ ਐਕਟੀਵੇਟ ਕਰੋ ਜਦੋਂ ਯੂਜ਼ਰ ਚਾਹੁੰਦਾ ਹੈ: - Azure OpenAI ਚੈਟ ਕੰਪਲੀਸ਼ਨਸ ਤੋਂ Responses API ਵੱਲ Python ਐਪ ਮਾਈਗ੍ਰੇਟ ਕਰਨੀ - Python OpenAI SDK ਵਰਤੋਂ ਨੂੰ Azure OpenAI ਲਈ ਨਵੀਨਤਮ API ਸ਼ੇਪ ਨਾਲ ਅੱਪਗਰੇਡ ਕਰਨਾ - Python ਕੋਡ ਨੂੰ GPT-5 ਜਾਂ ਵਧੀਕ ਨਵੇਂ ਮਾਡਲਾਂ ਲਈ ਤਿਆਰ ਕਰਨਾ ਜੋ Azure ਉੱਤੇ Responses ਦੀ ਲੋੜ ਰੱਖਦੇ ਹਨ - AzureOpenAI/AsyncAzureOpenAI ਤੋਂ ਸਮਾਨv1 ਇੰਡੀਪੌਇਂਟ ਵਾਲੇ ਮਿਆਰੀ OpenAI/AsyncOpenAI ਕਲਾਇੰਟ ਤੇ ਸਵਿੱਚ ਕਰਨਾ

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Azure Openai To Responses 35 · microsoft bundle
'Shift Python apps dem from Azure OpenAI Chat Completions go Responses API. E cover AzureOpenAI/AsyncAzureOpenAI client shift go v1 endpoint, streaming, tools, structured output, multi-turn, EntraID auth, plus model compatibility checks. Na Python-focused, Azure OpenAI-specific. USE FOR: shift go responses API, change from chat completions, openai responses, upgrade openai SDK, responses API migration, move from completions go responses, gpt-5 migration, azure openai python migration, chat completions go responses, AzureOpenAI go OpenAI client, python azure openai upgrade. DO NOT USE FOR: build new apps from scratch (start with responses directly), Node/TypeScript/C#/Java/Go migrations (dis skill na Python-only), Azure infrastructure setup (use azure-prepare), deploy models (use microsoft-foundry).'

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Azure Openai To Responses 36 · microsoft bundle
Aktywuj tę umiejętność, gdy użytkownik chce: - Migrować aplikację Python z Azure OpenAI Chat Completions do Responses API - Zaktualizować użycie Python OpenAI SDK do najnowszego kształtu API dla Azure OpenAI - Przygotować kod Python dla modeli GPT-5 lub nowszych, które wymagają Responses na Azure - Przełączyć się z AzureOpenAI/AsyncAzureOpenAI na standardowy klient OpenAI/AsyncOpenAI z endpointem v1

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Azure Openai To Responses 37 · microsoft bundle
Ative esta habilidade quando o usuário quiser: - Migrar um app Python de Azure OpenAI Chat Completions para Responses API - Atualizar o uso do SDK Python OpenAI para o formato mais recente da API contra Azure OpenAI - Preparar código Python para modelos GPT-5 ou mais recentes que requerem Responses na Azure - Mudar de AzureOpenAI/AsyncAzureOpenAI para o cliente padrão OpenAI/AsyncOpenAI com o endpoint v1

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Azure Openai To Responses 38 · microsoft bundle
Ative esta funcionalidade quando o utilizador quiser: - Migrar uma app Python de Azure OpenAI Chat Completions para Responses API - Atualizar utilização do SDK OpenAI em Python para o formato mais recente da API com Azure OpenAI - Preparar código Python para modelos GPT-5 ou superiores que requerem Responses na Azure - Trocar AzureOpenAI/AsyncAzureOpenAI pelo cliente padrão OpenAI/AsyncOpenAI com o endpoint v1

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Azure Openai To Responses 39 · microsoft bundle
Activați această abilitate când utilizatorul dorește să: - Migreze o aplicație Python de la Azure OpenAI Chat Completions la Responses API - Actualizeze utilizarea SDK-ului Python OpenAI la cea mai recentă formă a API-ului pentru Azure OpenAI - Pregătească cod Python pentru modelele GPT-5 sau mai noi care necesită Responses pe Azure - Schimbe de la AzureOpenAI/AsyncAzureOpenAI la clientul standard OpenAI/AsyncOpenAI cu endpoint-ul v1

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Azure Openai To Responses 40 · microsoft bundle
Активируйте этот навык, когда пользователь хочет: - Мигрировать Python-приложение с Azure OpenAI Chat Completions на Responses API - Обновить использование Python OpenAI SDK до последней версии API для Azure OpenAI - Подготовить Python-код для моделей GPT-5 или новее, требующих Responses на Azure - Переключиться с AzureOpenAI/AsyncAzureOpenAI на стандартные клиенты OpenAI/AsyncOpenAI с конечной точкой v1

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Azure Openai To Responses 41 · microsoft bundle
Aktivujte tento skill, keď používateľ chce: - Migrovať Python aplikáciu z Azure OpenAI Chat Completions na Responses API - Aktualizovať použitie Python OpenAI SDK na najnovší tvar API proti Azure OpenAI - Pripraviť Python kód pre GPT-5 alebo novšie modely, ktoré vyžadujú Responses na Azure - Prejsť z AzureOpenAI/AsyncAzureOpenAI na štandardný OpenAI/AsyncOpenAI klient s v1 endpointom - Opraviť upozornenia na zastaranie týkajúce sa konštruktorov AzureOpenAI alebo apiversion

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Azure Openai To Responses 42 · microsoft bundle
Aktivirajte to veščino, ko uporabnik želi: - Prenesti Python aplikacijo iz Azure OpenAI Chat Completions na Responses API - Nadgraditi uporabo Python OpenAI SDK na najnovejšo obliko API z Azure OpenAI - Pripraviti Python kodo za GPT-5 ali novejše modele, ki zahtevajo Responses na Azure - Preklopiti iz AzureOpenAI/AsyncAzureOpenAI na standardni OpenAI/AsyncOpenAI klient z v1 endpointom - Popraviti opozorila o zastarelosti, ki se nanašajo na konstruktorje AzureOpenAI ali apiversion

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Azure Openai To Responses 43 · microsoft bundle
Активирајте ову вештину када корисник жели да: - Мигрира Python апликацију са Azure OpenAI Chat Completions на Responses API - Надогради коришћење Python OpenAI SDK на најновији облик API-ја за Azure OpenAI - Припреми Python код за GPT-5 или новије моделе који захтевају Responses на Azure - Прелазак са AzureOpenAI/AsyncAzureOpenAI на стандардни OpenAI/AsyncOpenAI клијент са v1 endpoint-ом - Поправи упозорења о кварању због AzureOpenAI конструкторе или apiversion

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Azure Openai To Responses 44 · microsoft bundle
Aktivera denna funktion när användaren vill: - Migrera en Python-app från Azure OpenAI Chat Completions till Responses API - Uppgradera Python OpenAI SDK-användning till den senaste API-strukturen för Azure OpenAI - Förbereda Python-kod för GPT-5 eller nyare modeller som kräver Responses på Azure - Byta från AzureOpenAI/AsyncAzureOpenAI till standard OpenAI/AsyncOpenAI klient med v1-endpoint - Fixa föråldringsvarningar relaterade till AzureOpenAI-konstruktörer eller apiversion

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Azure Openai To Responses 45 · microsoft bundle
Amsha ujuzi huu wakati mtumiaji anataka: - Kuhamisha programu ya Python kutoka Azure OpenAI Chat Completions kwenda Responses API - Kuboresha matumizi ya SDK ya Python OpenAI kwa muundo mpya wa API dhidi ya Azure OpenAI - Kuandaa msimbo wa Python kwa modeli za GPT-5 au mpya zaidi zinazotumia Responses kwenye Azure - Kubadilisha kutoka AzureOpenAI/AsyncAzureOpenAI kwenda mteja wa kawaida OpenAI/AsyncOpenAI kwa kiambatisho cha v1

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Azure Openai To Responses 46 · microsoft bundle
பயனர் பின்வருவன செய்ய விரும்பும் போது இந்த திறனை செயற்படுத்தவும்: - Azure OpenAI Chat Completions-இல் இருந்து Responses APIக்கு Python செயலியை மாற்றவும் - Azure OpenAIக்கு எதிரான Python OpenAI SDK பயன்பாட்டை சமீபத்திய API வடிவத்திற்கு மேம்படுத்தவும் - Azure Responses தேவையுள்ள GPT-5 அல்லது புதிய மாதிரிகள் இயக்க Python குறியீட்டை தயாரிக்கவும் - AzureOpenAI/AsyncAzureOpenAI இல் இருந்து பொதுவான OpenAI/AsyncOpenAI கிளையன்ட் v1 endpoint உடன் மாறவும்

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Azure Openai To Responses 47 · microsoft bundle
వాడుకరి క్రింది చర్యలు కోరినప్పుడు ఈ నైపుణ్యాన్ని ప్రారంభించండి: - Azure OpenAI చాట్ కంఫ్లిషన్స్ నుండి Responses APIకి Python యాప్ మార్చడం - Azure OpenAI కి వ్యతిరేకంగా Python OpenAI SDK వాడకాన్ని తాజాగా API ఆకారానికి అభివృద్ధి చేయడం - Responses అవసరమయ్యే GPT-5 లేదా కొత్త మోడల్స్ కి Python కోడ్ సిద్ధం చేయడం - AzureOpenAI/AsyncAzureOpenAI నుండి సాంప్రదాయ OpenAI/AsyncOpenAI క్లయింట్ కి v1 ఎండ్పాయింట్ తో మారడం

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Azure Openai To Responses 48 · microsoft bundle
เปิดใช้งานทักษะนี้เมื่อผู้ใช้ต้องการ: - ย้ายแอป Python จาก Azure OpenAI Chat Completions ไปยัง Responses API - อัพเกรดการใช้งาน Python OpenAI SDK ไปยังรูปแบบ API ล่าสุดกับ Azure OpenAI - เตรียมโค้ด Python สำหรับโมเดล GPT-5 หรือใหม่กว่าที่ต้องการ Responses บน Azure - เปลี่ยนจากไคลเอนต์ AzureOpenAI/AsyncAzureOpenAI เป็น OpenAI/AsyncOpenAI แบบมาตรฐานที่ใช้ปลายทาง v1 - แก้ไขคำเตือนการเลิกใช้ที่เกี่ยวกับตัวสร้าง AzureOpenAI หรือ apiversion

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Azure Openai To Responses 49 · microsoft bundle
'Ilipat ang mga Python app mula sa Azure OpenAI Chat Completions papuntang Responses API. Saklaw nito ang pag-migrate ng AzureOpenAI/AsyncAzureOpenAI client sa v1 endpoint, streaming, tools, structured output, multi-turn, EntraID auth, at mga pagsusuri sa compatibility ng modelo. Nakatuon sa Python, para sa Azure OpenAI. GAMITIN PARA SA: pag-migrate sa responses API, paglipat mula sa chat completions, openai responses, pag-upgrade ng openai SDK, migration sa responses API, paglipat mula completions sa responses, gpt-5 migration, azure openai python migration, chat completions papuntang responses, AzureOpenAI papuntang OpenAI client, python azure openai upgrade. HUWAG GAMITIN PARA SA: paggawa ng mga bagong app mula sa simula (simulan direkta sa responses), Node/TypeScript/C#/Java/Go migrations (Python lang ang kasanayang ito), Azure infrastructure setup (gumamit ng azure-prepare),...

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Azure Openai To Responses 50 · microsoft bundle
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 uç noktası ile standart OpenAI/AsyncOpenAI istemcisine geçmek

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Azure Openai To Responses 51 · microsoft bundle
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 клієнта OpenAI/AsyncOpenAI з кінцевою точкою v1 - Виправити попередження про застарілість, пов’язані з конструкторами AzureOpenAI або параметром apiversion

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Azure Openai To Responses 52 · microsoft bundle
جب صارف چاہتا ہو تو اس قابلیت کو فعال کریں: - Azure OpenAI Chat Completions سے Responses API کی طرف Python ایپ کی مائیگریشن - Azure OpenAI کے خلاف Python OpenAI SDK کے استعمال کو جدید API شکل میں اپ گریڈ کریں - GPT-5 یا نئے ماڈلز کے لیے Python کوڈ تیار کریں جو Azure پر Responses کی ضرورت رکھتے ہوں - AzureOpenAI/AsyncAzureOpenAI سے معیار OpenAI/AsyncOpenAI کلائنٹ کی طرف v1 اینڈپوائنٹ کے ساتھ منتقل ہوں

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Azure Openai To Responses 53 · microsoft bundle
Kích hoạt kỹ năng này khi người dùng muốn: - Di chuyển app Python từ Azure OpenAI Chat Completions sang Responses API - Nâng cấp sử dụng Python OpenAI SDK lên cấu trúc API mới nhất dành cho Azure OpenAI - Chuẩn bị code Python cho các model GPT-5 hoặc mới hơn yêu cầu Responses trên Azure - Chuyển từ client AzureOpenAI/AsyncAzureOpenAI sang client chuẩn OpenAI/AsyncOpenAI với endpoint v1 - Sửa các cảnh báo ngừng sử dụng liên quan tới constructor AzureOpenAI hoặc apiversion

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Azure Openai To Responses 54 · microsoft bundle
当用户希望时启用此技能： - 将 Python 应用从 Azure OpenAI 聊天补全迁移到 Responses API - 升级 Python OpenAI SDK 的用法至针对 Azure OpenAI 的最新 API 形态 - 为需要 Azure 上 Responses 的 GPT-5 或更新模型准备 Python 代码 - 从 AzureOpenAI/AsyncAzureOpenAI 切换到带 v1 端点的标准 OpenAI/AsyncOpenAI 客户端 - 修复与 AzureOpenAI 构造函数或 apiversion 相关的弃用警告

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Azure Openai To Responses 55 · microsoft bundle
當使用者想要啟用本技能時： - 將 Python 應用程式從 Azure OpenAI Chat Completions 遷移至 Responses API - 將 Python OpenAI SDK 用法升級為最新的 Azure OpenAI API 格式 - 為 GPT-5 或更新版需要 Responses API 的模型準備 Python 程式碼 - 從 AzureOpenAI / AsyncAzureOpenAI 切換到帶 v1 端點的標準 OpenAI / AsyncOpenAI 用戶端 - 修正與 AzureOpenAI 構造函數或 apiversion 相關的過時警告

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Azure Openai To Responses 56 · microsoft bundle
當用戶希望執行下列操作時啟用此技能： - 將 Python 應用程式從 Azure OpenAI Chat Completions 遷移至 Responses API - 將 Python OpenAI SDK 用法升級至針對 Azure OpenAI 的最新 API 結構 - 為 GPT-5 或更新版本需要在 Azure 上使用 Responses 的模型準備 Python 程式碼 - 從 AzureOpenAI/AsyncAzureOpenAI 切換至使用標準的 OpenAI/AsyncOpenAI 客戶端及 v1 端點 - 修正與 AzureOpenAI 建構函式或 apiversion 相關的棄用警告

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Azure Openai To Responses 57 · microsoft bundle
當用戶想要： - 將 Python 應用從 Azure OpenAI Chat Completions 遷移到 Responses API - 升級 Python OpenAI SDK 使用方式，改用針對 Azure OpenAI 的最新 API 形態 - 為需要 Azure Responses 的 GPT-5 或更新模型準備 Python 代碼 - 從 AzureOpenAI / AsyncAzureOpenAI 切換到使用標準的 OpenAI / AsyncOpenAI 客戶端，搭配 v1 端點 - 修正與 AzureOpenAI 建構子或 apiversion 相關的棄用警告

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Deploying Scalable Agents 2 · microsoft
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، تخزين الاستجابات مؤقتًا، أو التزامن المحدود للتحكم في زمن الاستجابة والتكلفة. - إضافة بوابة تقييم حتى لا يتم شحن نسخة وكيل سيئة. - إضافة خطوة موافقة بشرية في الحلقة للإجراءات عالية المخاطر.

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Deploying Scalable Agents 3 · microsoft
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 маршрутизация на модел, кеширане на отговори или ограничена паралелност за контрол на латентността и разходите. - Добави вход за оценка, така че лоша версия на агента да не може да бъде пусната в продукция.

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Deploying Scalable Agents 4 · microsoft
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 রাউটিং, রেসপন্স ক্যাশিং, বা সীমিত একসঙ্গে concurrency যোগ করা, যাতে ল্যাটেন্সি এবং খরচ নিয়ন্ত্রিত হয়।

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Deploying Scalable Agents 5 · microsoft
Aktivujte tuto dovednost, když chce student: - Nasadit agenta do Microsoft Foundry jako hostovaného agenta a zajistit jeho verzování/pozorovatelnost. - Vybrat mezi nasazovacími vzory client-hosted, hosted-agent a agent-workflow. - Přidat směrování modelů, cache odpovědí nebo omezenou paralelnost pro kontrolu latence a nákladů. - Přidat evaluační bránu, aby se špatná verze agenta nemohla nasadit.

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