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DO NOT USE FOR: deploying agents to di cloud at scale (use deploying-scalable-agents \u002F Lesson 16), building your first agent concept (Lesson 01), Foundry (cloud) hosted agents, GPU cluster \u002F server-side inference provisioning.","https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Fai-agents-for-beginners\u002Fblob\u002Fmain\u002Ftranslations\u002Fpcm\u002F.agents\u002Fskills\u002Flocal-ai-agents\u002FSKILL.md",[323,326],{"categoryNo":324,"categoryName":325,"taxonomyType":11,"taxonomyTypeDesc":12},"01JBSEEDCAT000000000000010","后端与接口",{"categoryNo":223,"categoryName":224,"taxonomyType":11,"taxonomyTypeDesc":12},[236,237,228,328,329,330,104,253,309,255],"assistant","inference","mcp server",{"skillNo":332,"name":240,"nameZh":18,"description":333,"descriptionZh":18,"repositoryFullName":200,"ownerLogin":104,"ownerAvatarUrl":106,"ownerAccountNo":103,"ownerDisplayName":105,"repositoryNo":201,"starsCount":202,"licenseSpdxId":203,"licenseFileUrl":18,"sourceHtmlUrl":334,"categories":335,"keywords":336,"publishedAt":215},"01M699R1EM90HX5EA55JJGHXXN","Use dis one wen di user dey ask make you create, scaffold, or edit Jupyter notebooks (`.ipynb`) for experiments, explorations, or tutorials; prefer di bundled templates and run di helper script `new_notebook.py` make e generate a clean starting notebook.","https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Fai-agents-for-beginners\u002Fblob\u002Fmain\u002Ftranslations\u002Fpcm\u002F.agents\u002Fskills\u002Fjupyter-notebook\u002FSKILL.md",[],[244,337,338],"experiments","scaffold",{"skillNo":340,"name":247,"nameZh":18,"description":341,"descriptionZh":18,"repositoryFullName":200,"ownerLogin":104,"ownerAvatarUrl":106,"ownerAccountNo":103,"ownerDisplayName":105,"repositoryNo":201,"starsCount":202,"licenseSpdxId":203,"licenseFileUrl":18,"sourceHtmlUrl":342,"categories":343,"keywords":346,"publishedAt":215},"01M699QYY326FAKPYD464CXBNW","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 \u002F Lesson 17), Azure infrastructure provisioning we no relate to agents, non-Foundry deployment targets.","https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Fai-agents-for-beginners\u002Fblob\u002Fmain\u002Ftranslations\u002Fpcm\u002F.agents\u002Fskills\u002Fdeploying-scalable-agents\u002FSKILL.md",[344,345],{"categoryNo":207,"categoryName":208,"taxonomyType":11,"taxonomyTypeDesc":12},{"categoryNo":223,"categoryName":224,"taxonomyType":11,"taxonomyTypeDesc":12},[252,104,308,347,348,349,254,236,350,213,351,352,253,255],"support","customer","workflow","go","deploy","workflows",{"skillNo":354,"name":258,"nameZh":18,"description":355,"descriptionZh":18,"repositoryFullName":200,"ownerLogin":104,"ownerAvatarUrl":106,"ownerAccountNo":103,"ownerDisplayName":105,"repositoryNo":201,"starsCount":202,"licenseSpdxId":203,"licenseFileUrl":18,"sourceHtmlUrl":356,"categories":357,"keywords":359,"publishedAt":215},"01M699QW53YD2R5F70WDTTH9F6","Shift Python apps dem from Azure OpenAI Chat Completions go Responses API. E cover AzureOpenAI\u002FAsyncAzureOpenAI 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\u002FTypeScript\u002FC#\u002FJava\u002FGo migrations (dis skill na Python-only), Azure infrastructure setup (use azure-prepare), deploy models (use microsoft-foundry).","https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Fai-agents-for-beginners\u002Fblob\u002Fmain\u002Ftranslations\u002Fpcm\u002F.agents\u002Fskills\u002Fazure-openai-to-responses\u002FSKILL.md",[358],{"categoryNo":57,"categoryName":60,"taxonomyType":58,"taxonomyTypeDesc":59},[262,360,351,361,362,253,104,363,364,350,365],"prepare","auth","change","sdk","python","typescript",26,18]