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MicrosoftReads credentialsAGENTS.mdmicrosoft/ai-agents-for-beginners/translations/ru/AGENTS.md
azure-identity)" ``` 2. **Проверьте выполнение тетради:** ```bash # Convert notebook to script and run (tests imports) jupyter nbconvert --to script /code_samples/ .ipynb --stdout | python ``` 3. **Проверьте переменные окружения:** ```bash python
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MicrosoftReads credentialsAGENTS.mdmicrosoft/ai-agents-for-beginners/translations/sk/AGENTS.md
azure-identity)" ``` 2. **Otestujte vykonávanie notebooku:** ```bash # Convert notebook to script and run (tests imports) jupyter nbconvert --to script /code_samples/ .ipynb --stdout | python ``` 3. **Overte premenné prostredia:** ```bash python
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MicrosoftReads credentialsAGENTS.mdmicrosoft/ai-agents-for-beginners/translations/sl/AGENTS.md
produkcijska koda z avtomatiziranimi testi. Za preverjanje nastavitve in sprememb: ### Ročno testiranje 1. **Test okolja Python:** ```bash python --version # Should be 3.12+ pip list | grep -E "(agent-framework|azure
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MicrosoftReads credentialsAGENTS.mdmicrosoft/ai-agents-for-beginners/translations/sr/AGENTS.md
azure-identity)" ``` 2. **Тестирајте извршавање нотебоокова:** ```bash # Convert notebook to script and run (tests imports) jupyter nbconvert --to script /code_samples/ .ipynb --stdout | python ``` 3. **Проверите променљиве окружења:** ```bash python
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MicrosoftReads credentialsAGENTS.mdmicrosoft/ai-agents-for-beginners/translations/sv/AGENTS.md
azure-identity)" ``` 2. **Testa körning av notebook:** ```bash # Convert notebook to script and run (tests imports) jupyter nbconvert --to script /code_samples/ .ipynb --stdout | python ``` 3. **Verifiera miljövariabler:** ```bash python
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MicrosoftReads credentialsAGENTS.mdmicrosoft/ai-agents-for-beginners/translations/sw/AGENTS.md
azure-identity)" ``` 2. **Jaribu uendeshaji wa daftari:** ```bash # Convert notebook to script and run (tests imports) jupyter nbconvert --to script /code_samples/ .ipynb --stdout | python ``` 3. **Thibitisha vigezo vya mazingira:** ```bash
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MicrosoftReads credentialsAGENTS.mdmicrosoft/ai-agents-for-beginners/translations/ta/AGENTS.md
azure-identity)" ``` 2. **நோட்புக் இயக்கத்தை சோதிக்கவும்:** ```bash # Convert notebook to script and run (tests imports) jupyter nbconvert --to script /code_samples/ .ipynb --stdout | python ``` 3. **சூழல் மாறிலிகளை சரிபார்க்கவும்:** ```bash python
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MicrosoftReads credentialsAGENTS.mdmicrosoft/ai-agents-for-beginners/translations/te/AGENTS.md
azure-identity)" ``` 2. **నోట్బుక్ అమలు పరీక్షించండి:** ```bash # Convert notebook to script and run (tests imports) jupyter nbconvert --to script /code_samples/ .ipynb --stdout | python ``` 3. **పరిసర వేరియబుల్స్ని ధృవీకరించండి:** ```bash python
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MicrosoftReads credentialsAGENTS.mdmicrosoft/ai-agents-for-beginners/translations/th/AGENTS.md
framework|azure-ai|azure-identity)" ``` 2. **ทดสอบการรันโน้ตบุ๊ค:** ```bash # Convert notebook to script and run (tests imports) jupyter nbconvert --to script /code_samples/ .ipynb --stdout | python ``` 3. **ตรวจสอบตัวแปรสภาพแวดล้อม:** ```bash python -c "import
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MicrosoftReads credentialsAGENTS.mdmicrosoft/ai-agents-for-beginners/translations/tl/AGENTS.md
halimbawa ng code sa halip na production code na may automated tests. Para beripikahin ang iyong setup at mga pagbabago: ### Manwal na Pagsusuri 1. **Subukan ang Python environment:** ```bash python
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MicrosoftReads credentialsAGENTS.mdmicrosoft/ai-agents-for-beginners/translations/tr/AGENTS.md
FoundryChatClient` kullanır (ajanlar Foundry portalında görünür) - Yerleşik gözlemlenebilirlik ile üretim hazır - Dosya deseni: `*-python-agent-framework.ipynb` ## Test Talimatları Bu eğitim deposu, otomatik testlerle üretim kodu değil, örnek kod içerir. Kurulum ve değişikliklerinizi
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MicrosoftReads credentialsAGENTS.mdmicrosoft/ai-agents-for-beginners/translations/uk/AGENTS.md
azure-identity)" ``` 2. **Тест виконання ноутбуку:** ```bash # Convert notebook to script and run (tests imports) jupyter nbconvert --to script /code_samples/ .ipynb --stdout | python ``` 3. **Перевірка змінних середовища:** ```bash python
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MicrosoftReads credentialsAGENTS.mdmicrosoft/ai-agents-for-beginners/translations/ur/AGENTS.md
نوٹ بک کی کارروائی کی جانچ کریں:** ```bash # Convert notebook to script and run (tests imports) jupyter nbconvert --to script /code_samples/ .ipynb --stdout | python ``` 3. **ماحول کے متغیرات کی تصدیق
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MicrosoftReads credentialsAGENTS.mdmicrosoft/ai-agents-for-beginners/translations/vi/AGENTS.md
azure-identity)" ``` 2. **Kiểm tra chạy notebook:** ```bash # Convert notebook to script and run (tests imports) jupyter nbconvert --to script /code_samples/ .ipynb --stdout | python ``` 3. **Xác minh biến môi trường
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MicrosoftReads credentialsAGENTS.mdmicrosoft/ai-agents-for-beginners/translations/zh-CN/AGENTS.md
导入语句 - 配置加载 - 示例代理实现 - 预期输出（位于markdown单元） ### 部署代理的冒烟测试 在代理作为Microsoft Foundry托管代理部署的课程（01、04、05、16）中，本仓库提供了位于 `tests/` 下的冒烟测试目录，由 `.github/workflows/smoke-test.yml` 工作流通过[AI冒烟测试](https://github.com/marketplace/actions/ai-smoke-test)动作运行。这是轻量级的部署后检查（代理是否可达且基本响应符合预期？），是课程10和16评估流程的补充。有关目录到课程再到代理的映射，详见 [tests/README.md
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MicrosoftReads credentialsAGENTS.mdmicrosoft/ai-agents-for-beginners/translations/zh-HK/AGENTS.md
預期輸出在 markdown 儲存格中 ### 部署代理人的冒煙測試 對於作為 Microsoft Foundry 主機代理人部署的課程（01、04、05、16）中，存儲庫提供在 `tests/` 下的冒煙測試目錄，該目錄由 `.github/workflows/smoke-test.yml` 工作流程通過 [AI Smoke Test](https://github.com/marketplace/actions/ai-smoke-test) 操作運行。這是輕量級的部署後檢查（代理人是否可連接且符合基本提示預期？），輔助第
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MicrosoftReads credentialsAGENTS.mdmicrosoft/ai-agents-for-beginners/translations/zh-MO/AGENTS.md
配置載入 - 範例代理人實作 - Markdown 儲存格中的預期輸出 ### 對已部署代理人進行初步測試 對於以 Microsoft Foundry 托管代理人方式部署的課程（01、04、05、16），儲存庫提供位於 `tests/` 下的初步測試目錄，透過 `.github/workflows/smoke-test.yml` 工作流程使用 [AI Smoke Test](https://github.com/marketplace/actions/ai-smoke-test) 操作執行。這是一個簡易的部署後檢查（代理是否可達且基本提示是否符合預期？），用以補充第
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MicrosoftReads credentialsAGENTS.mdmicrosoft/ai-agents-for-beginners/translations/zh-TW/AGENTS.md
範例代理人實作 - 預期輸出（Markdown 單元格） ### 部署代理人的冒煙測試 對於以 Microsoft Foundry 託管代理人形式部署的課程（01、04、05、16），此儲存庫提供了位於 `tests/` 下的冒煙測試目錄，並由 `.github/workflows/smoke-test.yml` 工作流程透過 [AI Smoke Test](https://github.com/marketplace/actions/ai-smoke-test) 操作執行。這是一種輕量的部署後檢查（代理人是否可訪問且符合基本提示預期？），補充第10與16課的評估管線。詳見
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chopratejasAGENTS.mdchopratejas/headroom/AGENTS.md
needs a "Real behavior proof" section (setup, exact commands, observed output, what was not tested). Bug fixes need a test that fails before the fix. - One docs site: `docs/`, deployed
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caddyserverAGENTS.mdcaddyserver/caddy/AGENTS.md
modules/standard/imports.go` | Standard module registry | | `caddyconfig/httpcaddyfile/` | Caddyfile → JSON adapter for HTTP | | `caddytest/` | Test utilities and integration tests | | `cmd/caddy/` | CLI entry point with module imports | ### Critical Packages `caddyhttp` and `caddytls` require **extra
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An open format for instructions to coding agents, read by Codex, Cursor and others. Think of it as a README written for agents.
At the repository root, with more specific files in subdirectories. Agents read the one closest to the file they're editing.
Setup and test commands, code style, and the rules a new contributor would need to know.
Claude Code reads CLAUDE.md. A one-line CLAUDE.md that points at AGENTS.md covers both.
