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https://learn.deeplearning.ai/specializations/tensorflow-developer-professional-certificate | TensorFlow Developer Professional Certificate - DeepLearning.AI close Quick Guide & Tips 💻 Accessing Utils File and Helper Functions In each notebook on the top menu: 1: Click on "File" 2: Then, click on "Open" You will be able to see all the notebook files for the lesson, including any helper functions used in the notebook on the left sidebar. See the following image for the steps above. 🔄 Reset User Workspace If you need to reset your workspace to its original state, follow these quick steps: 1: Access the Menu: Look for the three-dot menu (⋮) in the top-right corner of the notebook toolbar. 2: Restore Original Version: Click on "Restore Original Version" from the dropdown menu. For more detailed instructions, please visit our Reset Workspace Guide . 💻 Downloading Notebooks In each notebook on the top menu: 1: Click on "File" 2: Then, click on "Download as" 3: Then, click on "Notebook (.ipynb)" 💻 Uploading Your Files After following the steps shown in the previous section ("File" => "Open"), then click on "Upload" button to upload your files. 📗 See Your Progress Once you enroll in this course—or any other short course on the DeepLearning.AI platform—and open it, you can click on 'My Learning' at the top right corner of the desktop view. There, you will be able to see all the short courses you have enrolled in and your progress in each one. Additionally, your progress in each short course is displayed at the bottom-left corner of the learning page for each course (desktop view). 📱 Features to Use 🎞 Adjust Video Speed: Click on the gear icon (⚙) on the video and then from the Speed option, choose your desired video speed. 🗣 Captions (English and Spanish): Click on the gear icon (⚙) on the video and then from the Captions option, choose to see the captions either in English or Spanish. 🔅 Video Quality: If you do not have access to high-speed internet, click on the gear icon (⚙) on the video and then from Quality , choose the quality that works the best for your Internet speed. 🖥 Picture in Picture (PiP): This feature allows you to continue watching the video when you switch to another browser tab or window. Click on the small rectangle shape on the video to go to PiP mode. √ Hide and Unhide Lesson Navigation Menu: If you do not have a large screen, you may click on the small hamburger icon beside the title of the course to hide the left-side navigation menu. You can then unhide it by clicking on the same icon again. 🧑 Efficient Learning Tips The following tips can help you have an efficient learning experience with this short course and other courses. 🧑 Create a Dedicated Study Space: Establish a quiet, organized workspace free from distractions. A dedicated learning environment can significantly improve concentration and overall learning efficiency. 📅 Develop a Consistent Learning Schedule: Consistency is key to learning. Set out specific times in your day for study and make it a routine. Consistent study times help build a habit and improve information retention. Tip: Set a recurring event and reminder in your calendar, with clear action items, to get regular notifications about your study plans and goals. ☕ Take Regular Breaks: Include short breaks in your study sessions. The Pomodoro Technique, which involves studying for 25 minutes followed by a 5-minute break, can be particularly effective. 💬 Engage with the Community: Participate in forums, discussions, and group activities. Engaging with peers can provide additional insights, create a sense of community, and make learning more enjoyable. ✍ Practice Active Learning: Don't just read or run notebooks or watch the material. Engage actively by taking notes, summarizing what you learn, teaching the concept to someone else, or applying the knowledge in your practical projects. 📚 Enroll in Other Short Courses Keep learning by enrolling in other short courses. We add new short courses regularly. Visit DeepLearning.AI Short Courses page to see our latest courses and begin learning new topics. 👇 👉👉 🔗 DeepLearning.AI – All Short Courses [+] 🙂 Let Us Know What You Think Your feedback helps us know what you liked and didn't like about the course. We read all your feedback and use them to improve this course and future courses. Please submit your feedback by clicking on "Course Feedback" option at the bottom of the lessons list menu (desktop view). Also, you are more than welcome to join our community 👉👉 🔗 DeepLearning.AI Forum close Sign in Continue with Google Continue with LinkedIn Or, sign in with your email Email Password Sign in Forgot password? Don't have an account? Create account By signing up, you agree to our Terms Of Use and Privacy Policy close Create Your Account Continue with Google Continue with LinkedIn Or, sign up with your email Email Address Sign up Already have an account? Sign in here! By signing up, you agree to our Terms Of Use and Privacy Policy close Choose Your Plan Monthly Yearly Change Your Plan Your subscription plan will change at the end of your current billing period. You'll continue to have access to your current plan until then. Manage Subscription close Learn More Keep Current Plan close Welcome back! Hi , We'd like to know you better so we can create more relevant courses. What do you do for work? Subscribe to receive AI news, events and course updates from DeepLearning.AI ! Start Your Course You have successfully joined undefined You now have access to all Pro features. Click below to start learning! Start Learning close Course Syllabus close Explore Courses Membership Community Forum Events Ambassadors Ambassador Spotlight My Learning Elevate Your Career with Full Learning Experience Unlock Plus AI learning and gain exclusive insights from industry leaders Access exclusive features like graded notebooks and quizzes Earn unlimited certificates to enhance your resume Starting at $1 USD/mo after a free trial – cancel anytime Start 7-day Free Trial Access as Audit Sign In Welcome to TensorFlow from Basics to Math Theory. Some of you may have taken deep learning or machine learning from me and learned about the amazing things you can now do with deep learning machine learning. One of the best tools you can use to implement these algorithms is TensorFlow. Learning algorithms can be quite complicated, and today programming frameworks like TensorFlow, PyTorch, CAFE, and many others can save you a lot of time. These tools can be complicated, and what this set of courses will do is teach you how to use TensorFlow effectively. In order to teach much of these courses, I'm absolutely thrilled to introduce Lawrence Moroney. Thank you, Andrew. He is a developer advocate at Google and has been working on Google AI and TensorFlow. Lawrence has also written over 30 programming books, including four sci-fi novels. Yeah, exactly. I've been busy. I really enjoy writing, but the one thing I enjoy even more is learning and teaching AI. Actually, I've learned from the specializations that you mentioned, and I've learned from your courses, so it's a real honor to be here with you. Oh, thank you. I did not know that you were taking my courses as well. Thank you. Definitely. I was a big fan, and that's really what got me into AI. It's actually a long story. I started doing AI many, many years ago, back when it was things like Prolog and Lisp and all that, but now when we've gotten more into machine learning and deep learning with neural networks, I needed a place to learn it, and I actually learned it from your courses. It's been exciting to be actually coming full circle and now teaching it myself, too. Thank you. I actually did not know. So, thank you for sharing that. I caught you by surprise. So, where the industry is at right now is one of the things that really excites me, because it's exploding, right? There's deep learning, and machine learning skills are becoming ever more important and opening up whole new scenarios. One of the strange things and exciting things about machine learning and AI is that it's no longer just a technical thing limited to the software industry, so that everyone in, or at least every industry, needs to figure this out. Yeah, and it's exciting from a developer's perspective, because there's a new paradigm. The new paradigm, to me, is opening up scenarios that weren't previously possible, things that were too difficult for me to write programs for. And so, whatever it's like, whenever a new paradigm comes, and these new tools come, and you can open up new scenarios, then that opens up great new opportunities. Yeah, and I think one of the tragic things today is, even though the whole world sees their promise and the hope of these machine learning and AI capabilities changing so many things, the world just doesn't have enough AI developers today. Exactly. I mean, I've seen surveys of, like, you know, 25, 26 million software developers, and, like, maybe 300,000 AI practitioners. So, part of my personal passion is to try and turn, like, those 24.7 non-AI practitioners, a significant portion of them, into people who can understand AI and who can build the new and exciting things that we can't think of. Yeah. So, I think if you finish this set of courses and learn how to code in TensorFlow, hopefully that will help you do some of this exciting work and maybe become an AI developer. So, in the next video, you'll hear Lawrence talk about the differences between traditional programming paradigms versus the machine learning and deep learning programming paradigm, and you'll also hear about how to fit an X to Y data relationship, how to fit a straight line to data. So, please go on to the next video. Thank you. specialization detail TensorFlow Developer Professional Certificate Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning Course 1 Convolutional Neural Networks in TensorFlow Course 2 Natural Language Processing in TensorFlow Course 3 Sequences, Time Series and Prediction Course 4 View All Courses Week 1 Week 1: A New Programming Paradigm Week 2: Introduction to Computer Vision Week 3: Enhancing Vision with Convolutional Neural Networks Week 4: Using Real-world Images Next Lesson Course Syllabus Week 1: A New Programming Paradigm A new programming paradigm Introduction: A conversation with Andrew Ng Video ・ 3 mins Welcome to the course! Reading ・ 1 min A primer in machine learning Video ・ 3 mins The ‘Hello World’ of neural networks Video ・ 5 mins Join the DeepLearning.AI Forum to ask questions, get support, or share amazing ideas! Reading ・ 2 mins From rules to data Reading ・ 2 mins Working through ‘Hello World’ in TensorFlow and Python Video ・ 2 mins About the notebooks in this course Reading ・ 5 mins Get started with Google Colab (Coding TensorFlow) Resource ・ 4 mins Try it for yourself (Lab 1) Code Example ・ 30 mins Week 1 Quiz Graded ・Quiz ・ 30 mins Lecture Notes (Optional) Lecture Notes Week 1 Reading ・ 1 min Weekly Assignment - Your First Neural Network Assignment Troubleshooting Tips Reading ・ 5 mins Housing Prices Graded ・Code Assignment ・ 3 hours Week 1 Resources Reading ・ 5 mins Next Week 2: Introduction to Computer Vision Certificate Course Info | 2026-01-13T09:29:58 |
https://ai.google.dev/api/interactions-api?hl=ar | Gemini API | Google AI for Developers التخطّي إلى المحتوى الرئيسي / English Deutsch Español – América Latina Français Indonesia Italiano Polski Português – Brasil Shqip Tiếng Việt Türkçe Русский עברית العربيّة فارسی हिंदी বাংলা ภาษาไทย 中文 – 简体 中文 – 繁體 日本語 한국어 الحصول على مفتاح واجهة برمجة التطبيقات كتاب الطبخ منتدى تسجيل الدخول المستندات مرجع واجهة برمجة التطبيقات Gemini API المستندات مرجع واجهة برمجة التطبيقات الحصول على مفتاح واجهة برمجة التطبيقات كتاب الطبخ منتدى نظرة عامة إصدارات واجهة برمجة التطبيقات الإمكانات الطرُز جارٍ إنشاء المحتوى واجهة برمجة التطبيقات للبث المباشر Live Music API واجهة برمجة التطبيقات Interactions API الرموز المميزة الملفات Batch API تخزين مؤقت التضمينات البحث عن ملف متاجر البحث عن الملفات مستند جميع الطرق منهي العمل به PaLM (تم إيقافه) مراجع حِزم تطوير البرامج (SDK) Python Go TypeScript Java C# الصفحة الرئيسية Gemini API مرجع واجهة برمجة التطبيقات إرسال ملاحظات Gemini API Gemini Interactions API هي واجهة برمجة تطبيقات تجريبية تتيح للمطوّرين إنشاء تطبيقات تستخدم الذكاء الاصطناعي التوليدي من خلال نماذج Gemini. Gemini هو نموذجنا الأكثر تطورًا، وقد تم تصميمه من البداية ليكون متعدّد الوسائط. يمكنه التعميم والفهم السلس لأنواع مختلفة من المعلومات والتعامل معها ودمجها، بما في ذلك اللغة والصور والمقاطع الصوتية والفيديوهات والرموز البرمجية. يمكنك استخدام Gemini API لحالات استخدام مثل الاستدلال على النصوص والصور، وإنشاء المحتوى، ووكلاء الحوار، وأنظمة التلخيص والتصنيف، وغير ذلك. عرض بتنسيق Markdown عرض مواصفات OpenAPI إنشاء تفاعل post https://generativelanguage.googleapis.com/v1beta/interactions تُنشئ هذه الطريقة تفاعلاً جديدًا. نص الطلب الردّ نص الطلب يتضمن نص الطلب بيانات بالبنية التالية: model ModelOption (اختياري) اسم `النموذج` المستخدَم لإنشاء التفاعل. مطلوبة إذا لم يتم تقديم `agent`. القيم المحتملة: gemini-2.5-pro نموذجنا المتطوّر المتعدّد الأغراض، والذي يتفوّق في الترميز ومهام الاستدلال المعقّدة. gemini-2.5-flash نموذجنا الأول للاستدلال المختلط الذي يتيح قدرة استيعاب مليون رمز مميّز ويتضمّن ميزانيات للتفكير. gemini-2.5-flash-preview-09-2025 أحدث نموذج يستند إلى نموذج 2.5 Flash. 2.5 Flash Preview هو الخيار الأفضل للمهام التي تتطلّب التفكير ومعالجة البيانات على نطاق واسع، والمهام التي تتطلّب وقت استجابة منخفضًا، والمهام التي تتطلّب معالجة كميات كبيرة من البيانات، وحالات الاستخدام التي تتطلّب وكيلًا. gemini-2.5-flash-lite هذا النموذج هو الأصغر والأكثر فعالية من حيث التكلفة، وهو مصمّم للاستخدام على نطاق واسع. gemini-2.5-flash-lite-preview-09-2025 أحدث نموذج يستند إلى Gemini 2.5 Flash lite، وهو محسّن لتحقيق فعالية من حيث التكلفة وإنتاجية عالية وجودة عالية. gemini-2.5-flash-preview-native-audio-dialog تم تحسين نماذج الصوت الأصلية لإنتاج نتائج صوتية بجودة أعلى مع تحسين السرعة والطبيعية والوضوح والمزاج. gemini-2.5-flash-image-preview نموذجنا الأصلي لإنشاء الصور، وهو نموذج محسّن من حيث السرعة والمرونة والفهم السياقي. يتم تسعير إدخال النص وإخراجه بنفس سعر 2.5 Flash. gemini-2.5-pro-preview-tts نموذجنا الصوتي 2.5 Pro لتحويل النص إلى كلام محسّن لإنشاء كلام قوي وبزمن استجابة منخفض، ما يتيح الحصول على نتائج أكثر طبيعية وتوجيه الطلبات بسهولة أكبر. gemini-3-pro-preview نموذجنا الأكثر ذكاءً الذي يتميّز بقدرات استدلالية وفهم لمختلف الوسائط على أعلى مستوى، بالإضافة إلى إمكانات ترميز متطوّرة وميزات تستند إلى الذكاء الاصطناعي الوكيل. النموذج الذي سيكمل طلبك.\n\nراجِع [النماذج](https://ai.google.dev/gemini-api/docs/models) للحصول على تفاصيل إضافية. agent AgentOption (اختياري) اسم "الموظف" المستخدَم لإنشاء التفاعل. مطلوبة إذا لم يتم تقديم `model`. القيم المحتملة: deep-research-pro-preview-12-2025 وكيل Deep Research في Gemini الوكيل الذي سيتم التفاعل معه input المحتوى أو الصفيف ( المحتوى ) أو الصفيف ( الرد ) أو السلسلة (مطلوب) تمثّل هذه السمة المعلومات التي يتم إدخالها للتفاعل (وهي مشتركة بين النموذج والوكيل). system_instruction string (اختيارية) تعليمات النظام للتفاعل tools array ( Tool ) (اختياري) قائمة بتعريفات الأدوات التي قد يستدعيها النموذج أثناء التفاعل response_format object (اختيارية) يفرض أن تكون الاستجابة التي تم إنشاؤها عبارة عن عنصر JSON يتوافق مع مخطط JSON المحدّد في هذا الحقل. response_mime_type string (اختيارية) نوع MIME الخاص بالردّ. هذا الإجراء مطلوب إذا تم ضبط response_format. stream boolean (اختياري) الإدخال فقط تُستخدَم لتحديد ما إذا كان سيتم بث التفاعل. store boolean (اختياري) الإدخال فقط تحديد ما إذا كان سيتم تخزين الرد والطلب لاستردادهما لاحقًا الخلفية منطقي (اختياري) تحديد ما إذا كان سيتم تشغيل التفاعل مع النموذج في الخلفية generation_config GenerationConfig (optional) إعدادات النموذج مَعلمات الإعدادات للتفاعل مع النموذج بديل عن `agent_config`. لا ينطبق إلا عند ضبط `model`. مَعلمات الإعداد لتفاعلات النموذج الحقول temperature number (اختياري) تتحكّم هذه السمة في عشوائية الناتج. top_p number (اختياري) الحدّ الأقصى للاحتمال التراكمي للرموز المميّزة التي يجب أخذها في الاعتبار عند أخذ العيّنات. seed عدد صحيح (اختياري) القيمة الأولية المستخدَمة في فك الترميز لضمان إمكانية إعادة الإنتاج stop_sequences array (string) (اختيارية) قائمة بتسلسلات الأحرف التي ستوقف التفاعل مع الإخراج. tool_choice ToolChoice (اختيارية) أداة اختيار التفاعل إعدادات اختيار الأدوات الأنواع المحتمَلة ToolChoiceType لا يتضمّن هذا النوع أي حقول محدّدة. ToolChoiceConfig allowed_tools AllowedTools (اختياري) لم يتم تقديم أي وصف. إعدادات الأدوات المسموح بها الحقول mode ToolChoiceType (اختياري) وضع اختيار الأداة القيم المحتملة: auto any none validated tools array (string) (اختياري) أسماء الأدوات المسموح بها thinking_level ThinkingLevel (اختيارية) مستوى الرموز المميزة للأفكار التي يجب أن ينشئها النموذج القيم المحتملة: low high thinking_summaries ThinkingSummaries (اختيارية) تحديد ما إذا كان سيتم تضمين ملخّصات الأفكار في الردّ. القيم المحتملة: auto none max_output_tokens integer (اختياري) الحدّ الأقصى لعدد الرموز المميّزة التي يمكن تضمينها في الردّ speech_config SpeechConfig (اختياري) إعدادات التفاعل الصوتي إعدادات التفاعل الصوتي الحقول voice string (اختياري) صوت المتحدث language string (اختياري) لغة الكلام speaker string (اختياري) اسم المتحدث، ويجب أن يتطابق مع اسم المتحدث الوارد في الطلب agent_config object (اختياري) إعدادات "الوكيل" إعدادات "الوكيل". بديل عن `generation_config`. لا ينطبق إلا عند ضبط `agent`. الأنواع المحتمَلة المميّز المتعدّد الأشكال: type DynamicAgentConfig إعدادات الوكلاء الديناميكيين type string (اختياري) يُستخدَم كمميّز نوع OpenAPI للمحتوى oneof. يجب ضبطها دائمًا على "dynamic" . DeepResearchAgentConfig إعدادات وكيل Deep Research type string (اختياري) يُستخدَم كمميّز نوع OpenAPI للمحتوى oneof. يجب ضبطها دائمًا على "deep-research" . thinking_summaries ThinkingSummaries (اختيارية) تحديد ما إذا كان سيتم تضمين ملخّصات الأفكار في الردّ. القيم المحتملة: auto none previous_interaction_id string (اختياري) رقم تعريف التفاعل السابق، إن وُجد. response_modalities ResponseModality (اختيارية) طُرق عرض الرد المطلوبة (TEXT أو IMAGE أو AUDIO). القيم المحتملة: text image audio الردّ تعرض هذه الطريقة مورد Interaction . طلب بسيط مثال على الرد { "created" : "2025-11-26T12:25:15Z" , "id" : "v1_ChdPU0F4YWFtNkFwS2kxZThQZ05lbXdROBIXT1NBeGFhbTZBcEtpMWU4UGdOZW13UTg" , "model" : "gemini-2.5-flash" , "object" : "interaction" , "outputs" : [ { "text" : "Hello! I'm functioning perfectly and ready to assist you.\n\nHow are you doing today?" , "type" : "text" } ], "role" : "model" , "status" : "completed" , "updated" : "2025-11-26T12:25:15Z" , "usage" : { "input_tokens_by_modality" : [ { "modality" : "text" , "tokens" : 7 } ], "total_cached_tokens" : 0 , "total_input_tokens" : 7 , "total_output_tokens" : 20 , "total_reasoning_tokens" : 22 , "total_tokens" : 49 , "total_tool_use_tokens" : 0 } } محادثة متعدّدة الجولات مثال على الرد { "id" : "v1_ChdPU0F4YWFtNkFwS2kxZThQZ05lbXdROBIXT1NBeGFhbTZBcEtpMWU4UGdOZW13UTg" , "model" : "gemini-2.5-flash" , "status" : "completed" , "object" : "interaction" , "created" : "2025-11-26T12:22:47Z" , "updated" : "2025-11-26T12:22:47Z" , "role" : "model" , "outputs" : [ { "type" : "text" , "text" : "The capital of France is Paris." } ], "usage" : { "input_tokens_by_modality" : [ { "modality" : "text" , "tokens" : 50 } ], "total_cached_tokens" : 0 , "total_input_tokens" : 50 , "total_output_tokens" : 10 , "total_reasoning_tokens" : 0 , "total_tokens" : 60 , "total_tool_use_tokens" : 0 } } إدخال الصور مثال على الرد { "id" : "v1_ChdPU0F4YWFtNkFwS2kxZThQZ05lbXdROBIXT1NBeGFhbTZBcEtpMWU4UGdOZW13UTg" , "model" : "gemini-2.5-flash" , "status" : "completed" , "object" : "interaction" , "created" : "2025-11-26T12:22:47Z" , "updated" : "2025-11-26T12:22:47Z" , "role" : "model" , "outputs" : [ { "type" : "text" , "text" : "A white humanoid robot with glowing blue eyes stands holding a red skateboard." } ], "usage" : { "input_tokens_by_modality" : [ { "modality" : "text" , "tokens" : 10 }, { "modality" : "image" , "tokens" : 258 } ], "total_cached_tokens" : 0 , "total_input_tokens" : 268 , "total_output_tokens" : 20 , "total_reasoning_tokens" : 0 , "total_tokens" : 288 , "total_tool_use_tokens" : 0 } } استدعاء الدوال مثال على الرد { "id" : "v1_ChdPU0F4YWFtNkFwS2kxZThQZ05lbXdROBIXT1NBeGFhbTZBcEtpMWU4UGdOZW13UTg" , "model" : "gemini-2.5-flash" , "status" : "requires_action" , "object" : "interaction" , "created" : "2025-11-26T12:22:47Z" , "updated" : "2025-11-26T12:22:47Z" , "role" : "model" , "outputs" : [ { "type" : "function_call" , "function_call" : { "name" : "get_weather" , "arguments" : { "location" : "Boston, MA" } } } ], "usage" : { "input_tokens_by_modality" : [ { "modality" : "text" , "tokens" : 100 } ], "total_cached_tokens" : 0 , "total_input_tokens" : 100 , "total_output_tokens" : 25 , "total_reasoning_tokens" : 0 , "total_tokens" : 125 , "total_tool_use_tokens" : 50 } } Deep Research مثال على الرد { "id" : "v1_ChdPU0F4YWFtNkFwS2kxZThQZ05lbXdROBIXT1NBeGFhbTZBcEtpMWU4UGdOZW13UTg" , "agent" : "deep-research-pro-preview-12-2025" , "status" : "completed" , "object" : "interaction" , "created" : "2025-11-26T12:22:47Z" , "updated" : "2025-11-26T12:22:47Z" , "role" : "model" , "outputs" : [ { "type" : "text" , "text" : "Here is a comprehensive research report on the current state of cancer research..." } ], "usage" : { "input_tokens_by_modality" : [ { "modality" : "text" , "tokens" : 20 } ], "total_cached_tokens" : 0 , "total_input_tokens" : 20 , "total_output_tokens" : 1000 , "total_reasoning_tokens" : 500 , "total_tokens" : 1520 , "total_tool_use_tokens" : 0 } } استرداد تفاعل get https://generativelanguage.googleapis.com/v1beta/interactions/{id} تسترد هذه الطريقة التفاصيل الكاملة لتفاعل واحد استنادًا إلى `Interaction.id`. مَعلمات المسار / طلب البحث الردّ مَعلمات المسار / طلب البحث id string (مطلوبة) المعرّف الفريد للتفاعل المطلوب استرجاعه. stream boolean (اختياري) في حال ضبطها على "صحيح"، سيتم بث المحتوى الذي تم إنشاؤه بشكل تدريجي. الإعداد التلقائي هو: False last_event_id string (اختياري) اختيارية: في حال ضبط هذا الحقل، يتم استئناف بث التفاعل من الجزء التالي بعد الحدث الذي تم وضع علامة عليه برقم تعريف الحدث. لا يمكن استخدامها إلا إذا كانت قيمة `stream` هي "صحيح". api_version string (اختيارية) إصدار واجهة برمجة التطبيقات الذي سيتم استخدامه الردّ تعرض هذه الطريقة مورد Interaction . Get Interaction مثال على الرد { "id" : "v1_ChdPU0F4YWFtNkFwS2kxZThQZ05lbXdROBIXT1NBeGFhbTZBcEtpMWU4UGdOZW13UTg" , "model" : "gemini-2.5-flash" , "status" : "completed" , "object" : "interaction" , "created" : "2025-11-26T12:25:15Z" , "updated" : "2025-11-26T12:25:15Z" , "role" : "model" , "outputs" : [ { "type" : "text" , "text" : "I'm doing great, thank you for asking! How can I help you today?" } ] } حذف تفاعل delete https://generativelanguage.googleapis.com/v1beta/interactions/{id} يحذف هذا الإجراء التفاعل حسب رقم التعريف. مَعلمات المسار / طلب البحث الردّ مَعلمات المسار / طلب البحث id string (مطلوبة) المعرّف الفريد للتفاعل المطلوب حذفه. api_version string (اختيارية) إصدار واجهة برمجة التطبيقات الذي سيتم استخدامه الردّ إذا نجح الطلب، ستكون الاستجابة فارغة. حذف التفاعل إلغاء تفاعل post https://generativelanguage.googleapis.com/v1beta/interactions/{id}/cancel تلغي هذه الطريقة تفاعلاً حسب رقم التعريف. ينطبق ذلك فقط على التفاعلات التي لا تزال قيد التشغيل في الخلفية. مَعلمات المسار / طلب البحث الردّ مَعلمات المسار / طلب البحث id string (مطلوبة) المعرّف الفريد للتفاعل المطلوب استرجاعه. api_version string (اختيارية) إصدار واجهة برمجة التطبيقات الذي سيتم استخدامه الردّ تعرض هذه الطريقة مورد Interaction . إلغاء التفاعل مثال على الرد { "id" : "v1_ChdPU0F4YWFtNkFwS2kxZThQZ05lbXdROBIXT1NBeGFhbTZBcEtpMWU4UGdOZW13UTg" , "agent" : "deep-research-pro-preview-12-2025" , "status" : "cancelled" , "object" : "interaction" , "created" : "2025-11-26T12:25:15Z" , "updated" : "2025-11-26T12:25:15Z" , "role" : "model" } الموارد التفاعل مورد Interaction الحقول model ModelOption (اختياري) اسم `النموذج` المستخدَم لإنشاء التفاعل. القيم المحتملة: gemini-2.5-pro نموذجنا المتطوّر المتعدّد الأغراض، والذي يتفوّق في الترميز ومهام الاستدلال المعقّدة. gemini-2.5-flash نموذجنا الأول للاستدلال المختلط الذي يتيح قدرة استيعاب مليون رمز مميّز ويتضمّن ميزانيات للتفكير. gemini-2.5-flash-preview-09-2025 أحدث نموذج يستند إلى نموذج 2.5 Flash. 2.5 Flash Preview هو الخيار الأفضل للمهام التي تتطلّب التفكير ومعالجة البيانات على نطاق واسع، والمهام التي تتطلّب وقت استجابة منخفضًا، والمهام التي تتطلّب معالجة كميات كبيرة من البيانات، وحالات الاستخدام التي تتطلّب وكيلًا. gemini-2.5-flash-lite هذا النموذج هو الأصغر والأكثر فعالية من حيث التكلفة، وهو مصمّم للاستخدام على نطاق واسع. gemini-2.5-flash-lite-preview-09-2025 أحدث نموذج يستند إلى Gemini 2.5 Flash lite، وهو محسّن لتحقيق فعالية من حيث التكلفة وإنتاجية عالية وجودة عالية. gemini-2.5-flash-preview-native-audio-dialog تم تحسين نماذج الصوت الأصلية لإنتاج نتائج صوتية بجودة أعلى مع تحسين السرعة والطبيعية والوضوح والمزاج. gemini-2.5-flash-image-preview نموذجنا الأصلي لإنشاء الصور، وهو نموذج محسّن من حيث السرعة والمرونة والفهم السياقي. يتم تسعير إدخال النص وإخراجه بنفس سعر 2.5 Flash. gemini-2.5-pro-preview-tts نموذجنا الصوتي 2.5 Pro لتحويل النص إلى كلام محسّن لإنشاء كلام قوي وبزمن استجابة منخفض، ما يتيح الحصول على نتائج أكثر طبيعية وتوجيه الطلبات بسهولة أكبر. gemini-3-pro-preview نموذجنا الأكثر ذكاءً الذي يتميّز بقدرات استدلالية وفهم لمختلف الوسائط على أعلى مستوى، بالإضافة إلى إمكانات ترميز متطوّرة وميزات تستند إلى الذكاء الاصطناعي الوكيل. النموذج الذي سيكمل طلبك.\n\nراجِع [النماذج](https://ai.google.dev/gemini-api/docs/models) للحصول على تفاصيل إضافية. agent AgentOption (اختياري) اسم "الموظف" المستخدَم لإنشاء التفاعل. القيم المحتملة: deep-research-pro-preview-12-2025 وكيل Deep Research في Gemini الوكيل الذي سيتم التفاعل معه id string (اختياري) النتائج فقط. معرّف فريد لإكمال التفاعل. الحالة تعداد (سلسلة) (اختياري) النتائج فقط. تمثّل هذه السمة حالة التفاعل. القيم المحتملة: in_progress requires_action completed failed cancelled created string (اختياري) النتائج فقط. تمثّل هذه السمة وقت إنشاء الردّ بتنسيق ISO 8601 (YYYY-MM-DDThh:mm:ssZ). updated string (اختياري) النتائج فقط. تمثّل هذه السمة الوقت الذي تم فيه آخر تعديل على الرد بالتنسيق ISO 8601 (YYYY-MM-DDThh:mm:ssZ). role string (اختياري) النتائج فقط. دور التفاعل outputs array ( Content ) (اختياري) النتائج فقط. الردود من النموذج object string (اختياري) النتائج فقط. نوع العنصر الذي تم التفاعل معه. يتم ضبط القيمة دائمًا على `interaction`. يجب ضبطها دائمًا على "interaction" . usage Usage (اختياري) النتائج فقط. إحصاءات حول استخدام الرمز المميّز لطلب التفاعل إحصاءات حول استخدام الرمز المميّز لطلب التفاعل الحقول total_input_tokens integer (اختياري) عدد الرموز المميزة في الطلب (السياق). input_tokens_by_modality ModalityTokens (اختياري) تفصيل لاستخدام الرموز المميزة للإدخال حسب نوع البيانات عدد الرموز المميزة لنمط استجابة واحد الحقول modality ResponseModality (اختيارية) الوسيط المرتبط بعدد الرموز المميزة. القيم المحتملة: text image audio tokens عدد صحيح (اختياري) عدد الرموز المميّزة للوسائط total_cached_tokens integer (optional) عدد الرموز المميزة في الجزء المخزّن مؤقتًا من الطلب (المحتوى المخزّن مؤقتًا) cached_tokens_by_modality ModalityTokens (اختياري) تفصيل لاستخدام الرمز المميز المخزّن مؤقتًا حسب طريقة الدفع عدد الرموز المميزة لنمط استجابة واحد الحقول modality ResponseModality (اختيارية) الوسيط المرتبط بعدد الرموز المميزة. القيم المحتملة: text image audio tokens عدد صحيح (اختياري) عدد الرموز المميّزة للوسائط total_output_tokens عدد صحيح (اختياري) إجمالي عدد الرموز المميزة في جميع الردود التي تم إنشاؤها output_tokens_by_modality ModalityTokens (اختياري) تفاصيل استخدام الرموز المميزة للناتج حسب طريقة العرض عدد الرموز المميزة لنمط استجابة واحد الحقول modality ResponseModality (اختيارية) الوسيط المرتبط بعدد الرموز المميزة. القيم المحتملة: text image audio tokens عدد صحيح (اختياري) عدد الرموز المميّزة للوسائط total_tool_use_tokens integer (اختيارية) عدد الرموز المميزة المتوفّرة في طلبات استخدام الأدوات tool_use_tokens_by_modality ModalityTokens (اختياري) تفصيل لاستخدام الرموز المميزة الخاصة باستخدام الأدوات حسب نوع البيانات عدد الرموز المميزة لنمط استجابة واحد الحقول modality ResponseModality (اختيارية) الوسيط المرتبط بعدد الرموز المميزة. القيم المحتملة: text image audio tokens عدد صحيح (اختياري) عدد الرموز المميّزة للوسائط total_reasoning_tokens integer (اختياري) عدد الرموز المميّزة للأفكار في نماذج التفكير total_tokens integer (optional) إجمالي عدد الرموز المميزة لطلب التفاعل (الطلب + الردود + الرموز المميزة الداخلية الأخرى). previous_interaction_id string (اختياري) رقم تعريف التفاعل السابق، إن وُجد أمثلة مثال { "created" : "2025-12-04T15:01:45Z" , "id" : "v1_ChdXS0l4YWZXTk9xbk0xZThQczhEcmlROBIXV0tJeGFmV05PcW5NMWU4UHM4RHJpUTg" , "model" : "gemini-2.5-flash" , "object" : "interaction" , "outputs" : [ { "text" : "Hello! I'm doing well, functioning as expected. Thank you for asking! How are you doing today?" , "type" : "text" } ] , "role" : "model" , "status" : "completed" , "updated" : "2025-12-04T15:01:45Z" , "usage" : { "input_tokens_by_modality" : [ { "modality" : "text" , "tokens" : 7 } ] , "total_cached_tokens" : 0 , "total_input_tokens" : 7 , "total_output_tokens" : 23 , "total_reasoning_tokens" : 49 , "total_tokens" : 79 , "total_tool_use_tokens" : 0 } } نماذج البيانات المحتوى محتوى الردّ. الأنواع المحتمَلة المميّز المتعدّد الأشكال: type TextContent مقطع نصي text string (اختياري) محتوى النص type string (مطلوبة) يُستخدَم كمميّز نوع OpenAPI للمحتوى oneof. يجب ضبطها دائمًا على "text" . annotations Annotation (اختياري) تمثّل هذه السمة معلومات الاقتباس للمحتوى من إنشاء النموذج. تمثّل هذه السمة معلومات الاقتباس للمحتوى من إنشاء النموذج. الحقول start_index integer (اختياري) بداية جزء الردّ الذي يتمّ نسبه إلى هذا المصدر يشير الفهرس إلى بداية المقطع، ويتم قياسه بالبايت. end_index عدد صحيح (اختياري) نهاية الجزء الذي تم تحديد مصدره، غير مشمولة. source string (اختياري) المصدر المنسوب إليه جزء من النص يمكن أن يكون عنوان URL أو عنوانًا أو معرّفًا آخر. ImageContent كتلة محتوى صورة data string (اختياري) لم يتم تقديم أي وصف. uri string (اختياري) لم يتم تقديم أي وصف. mime_type ImageMimeTypeOption (اختيارية) لم يتم تقديم أي وصف. القيم المحتملة: image/png image/jpeg image/webp image/heic image/heif نوع MIME الخاص بالصورة. type string (مطلوبة) يُستخدَم كمميّز نوع OpenAPI للمحتوى oneof. يجب ضبطها دائمًا على "image" . resolution MediaResolution (اختياري) تمثّل درجة دقة الوسائط. القيم المحتملة: low medium high AudioContent كتلة محتوى صوتي data string (اختياري) لم يتم تقديم أي وصف. uri string (اختياري) لم يتم تقديم أي وصف. mime_type AudioMimeTypeOption (اختيارية) لم يتم تقديم أي وصف. القيم المحتملة: audio/wav audio/mp3 audio/aiff audio/aac audio/ogg audio/flac نوع MIME الخاص بالمقطع الصوتي. type string (مطلوبة) يُستخدَم كمميّز نوع OpenAPI للمحتوى oneof. يجب ضبطها دائمًا على "audio" . DocumentContent وحدة محتوى مستند data string (اختياري) لم يتم تقديم أي وصف. uri string (اختياري) لم يتم تقديم أي وصف. mime_type string (اختيارية) لم يتم تقديم أي وصف. type string (مطلوبة) يُستخدَم كمميّز نوع OpenAPI للمحتوى oneof. يجب ضبطها دائمًا على "document" . VideoContent كتلة محتوى فيديو data string (اختياري) لم يتم تقديم أي وصف. uri string (اختياري) لم يتم تقديم أي وصف. mime_type VideoMimeTypeOption (اختيارية) لم يتم تقديم أي وصف. القيم المحتملة: video/mp4 video/mpeg video/mov video/avi video/x-flv video/mpg video/webm video/wmv video/3gpp نوع MIME الخاص بالفيديو. type string (مطلوبة) يُستخدَم كمميّز نوع OpenAPI للمحتوى oneof. يجب ضبطها دائمًا على "video" . resolution MediaResolution (اختياري) تمثّل درجة دقة الوسائط. القيم المحتملة: low medium high ThoughtContent وحدة محتوى فكرية signature string (اختياري) توقيع لمطابقة المصدر الخلفي الذي سيتم تضمينه في عملية الإنشاء type string (مطلوبة) يُستخدَم كمميّز نوع OpenAPI للمحتوى oneof. يجب ضبطها دائمًا على "thought" . summary ThoughtSummary (اختياري) ملخّص الفكرة ملخّص الفكرة FunctionCallContent كتلة محتوى لاستدعاء أداة وظيفة name string (مطلوب) تمثّل هذه السمة اسم الأداة المطلوب استدعاؤها. arguments object (مطلوب) الوسيطات التي سيتم تمريرها إلى الدالة type string (مطلوبة) يُستخدَم كمميّز نوع OpenAPI للمحتوى oneof. يجب ضبطها دائمًا على "function_call" . id string (مطلوبة) معرّف فريد لاستدعاء الأداة المحدّد هذا. FunctionResultContent كتلة محتوى لنتيجة أداة دالة name string (اختياري) تمثّل هذه السمة اسم الأداة التي تم استدعاؤها. is_error boolean (اختياري) تُستخدَم لتحديد ما إذا كان استدعاء الأداة قد نتج عنه خطأ. type string (مطلوبة) يُستخدَم كمميّز نوع OpenAPI للمحتوى oneof. يجب ضبطها دائمًا على "function_result" . result object or string (مطلوبة) نتيجة استدعاء الأداة call_id string (مطلوبة) معرّف يجب أن يتطابق مع المعرّف من وحدة استدعاء الدالة. CodeExecutionCallContent محتوى تنفيذ الرموز البرمجية arguments CodeExecutionCallArguments (اختياري) الوسيطات التي سيتم تمريرها إلى تنفيذ الرمز البرمجي الوسيطات التي سيتم تمريرها إلى تنفيذ الرمز البرمجي الحقول language enum (string) (اختياري) لغة البرمجة الخاصة بالرمز البرمجي. القيم المحتملة: python code string (اختياري) الرمز المطلوب تنفيذه type string (مطلوبة) يُستخدَم كمميّز نوع OpenAPI للمحتوى oneof. يجب ضبطها دائمًا على "code_execution_call" . id string (اختياري) معرّف فريد لاستدعاء الأداة المحدّد هذا. CodeExecutionResultContent محتوى نتيجة تنفيذ الرمز البرمجي result string (اختياري) ناتج تنفيذ الرمز البرمجي is_error boolean (اختياري) تُستخدَم لتحديد ما إذا كان تنفيذ الرمز البرمجي قد أدّى إلى حدوث خطأ. signature string (اختياري) تجزئة توقيع للتحقّق من صحة البيانات في الخلفية type string (مطلوبة) يُستخدَم كمميّز نوع OpenAPI للمحتوى oneof. يجب ضبطها دائمًا على "code_execution_result" . call_id string (اختياري) معرّف يجب أن يتطابق مع المعرّف من حزمة طلب تنفيذ الرمز البرمجي UrlContextCallContent محتوى سياق عنوان URL arguments UrlContextCallArguments (اختياري) الوسيطات التي سيتم تمريرها إلى سياق عنوان URL الوسيطات التي سيتم تمريرها إلى سياق عنوان URL الحقول urls مصفوفة (سلسلة) (اختيارية) عناوين URL المطلوب جلبها type string (مطلوبة) يُستخدَم كمميّز نوع OpenAPI للمحتوى oneof. يجب ضبطها دائمًا على "url_context_call" . id string (اختياري) معرّف فريد لاستدعاء الأداة المحدّد هذا. UrlContextResultContent محتوى نتيجة البحث السياقي في عنوان URL signature string (اختياري) توقيع نتيجة سياق عنوان URL result UrlContextResult (اختياري) نتائج سياق عنوان URL نتيجة سياق عنوان URL الحقول url string (اختياري) عنوان URL الذي تم استرجاعه. الحالة تعداد (سلسلة) (اختياري) حالة استرداد عنوان URL القيم المحتملة: success error paywall unsafe is_error boolean (اختياري) تُستخدَم لتحديد ما إذا كان سياق عنوان URL قد أدّى إلى حدوث خطأ. type string (مطلوبة) يُستخدَم كمميّز نوع OpenAPI للمحتوى oneof. يجب ضبطها دائمًا على "url_context_result" . call_id string (اختياري) معرّف يجب أن يتطابق مع المعرّف من وحدة طلب سياق عنوان URL. GoogleSearchCallContent محتوى "بحث Google" arguments GoogleSearchCallArguments (اختياري) الوسيطات التي يجب تمريرها إلى "بحث Google" الوسيطات التي يجب تمريرها إلى "بحث Google" الحقول queries array (string) (اختياري) طلبات البحث على الويب التي يتم إجراؤها بعد البحث الأولي على الويب type string (مطلوبة) يُستخدَم كمميّز نوع OpenAPI للمحتوى oneof. يجب ضبطها دائمًا على "google_search_call" . id string (اختياري) معرّف فريد لاستدعاء الأداة المحدّد هذا. GoogleSearchResultContent محتوى نتيجة البحث على Google signature string (اختياري) توقيع نتيجة البحث على Google result GoogleSearchResult (اختياري) نتائج البحث من Google نتيجة البحث على Google الحقول url string (اختياري) مرجع URI لنتيجة البحث title string (اختياري) تمثّل هذه السمة عنوان نتيجة البحث. rendered_content string (اختياري) مقتطف من محتوى الويب يمكن تضمينه في صفحة ويب أو عرض ويب داخل تطبيق is_error boolean (اختياري) تُستخدَم لتحديد ما إذا كان البحث على Google قد أدّى إلى حدوث خطأ. type string (مطلوبة) يُستخدَم كمميّز نوع OpenAPI للمحتوى oneof. يجب ضبطها دائمًا على "google_search_result" . call_id string (اختياري) المعرّف الذي يجب أن يتطابق مع المعرّف من حظر المكالمات في "بحث Google" McpServerToolCallContent محتوى استدعاء أداة MCPServer name string (مطلوب) اسم الأداة التي تم استدعاؤها. server_name string (مطلوبة) اسم خادم MCP المستخدَم arguments object (مطلوب) عنصر JSON الخاص بوسيطات الدالة type string (مطلوبة) يُستخدَم كمميّز نوع OpenAPI للمحتوى oneof. يجب ضبطها دائمًا على "mcp_server_tool_call" . id string (مطلوبة) معرّف فريد لاستدعاء الأداة المحدّد هذا. McpServerToolResultContent محتوى نتيجة أداة MCPServer name string (اختياري) اسم الأداة التي يتم استدعاؤها لتنفيذ استدعاء الأداة المحدّد هذا. server_name string (اختياري) اسم خادم MCP المستخدَم type string (مطلوبة) يُستخدَم كمميّز نوع OpenAPI للمحتوى oneof. يجب ضبطها دائمًا على "mcp_server_tool_result" . result object or string (مطلوبة) نتيجة استدعاء الأداة call_id string (مطلوبة) المعرّف الذي يجب أن يتطابق مع المعرّف من أداة خادم MCP لكتلة طلبات البيانات. FileSearchResultContent محتوى نتيجة البحث في الملفات result FileSearchResult (اختياري) نتائج البحث عن الملفات نتيجة البحث عن الملفات الحقول title string (اختياري) تمثّل هذه السمة عنوان نتيجة البحث. text string (اختياري) نص نتيجة البحث file_search_store string (اختياري) تمثّل هذه السمة اسم متجر البحث عن الملفات. type string (مطلوبة) يُستخدَم كمميّز نوع OpenAPI للمحتوى oneof. يجب ضبطها دائمًا على "file_search_result" . أمثلة نص { "type" : "text" , "text" : "Hello, how are you?" } صورة { "type" : "image" , "data" : "BASE64_ENCODED_IMAGE" , "mime_type" : "image/png" } الصوت { "type" : "audio" , "data" : "BASE64_ENCODED_AUDIO" , "mime_type" : "audio/wav" } مستند { "type" : "document" , "data" : "BASE64_ENCODED_DOCUMENT" , "mime_type" : "application/pdf" } فيديو { "type" : "video" , "uri" : "https://www.youtube.com/watch?v=9hE5-98ZeCg" } فكرة { "type" : "thought" , "summary" : [ { "type" : "text" , "text" : "The user is asking about the weather. I should use the get_weather tool." } ], "signature" : "CoMDAXLI2nynRYojJIy6B1Jh9os2crpWLfB0+19xcLsGG46bd8wjkF/6RNlRUdvHrXyjsHkG0BZFcuO/bPOyA6Xh5jANNgx82wPHjGExN8A4ZQn56FlMwyZoqFVQz0QyY1lfibFJ2zU3J87uw26OewzcuVX0KEcs+GIsZa3EA6WwqhbsOd3wtZB3Ua2Qf98VAWZTS5y/tWpql7jnU3/CU7pouxQr/Bwft3hwnJNesQ9/dDJTuaQ8Zprh9VRWf1aFFjpIueOjBRrlT3oW6/y/eRl/Gt9BQXCYTqg/38vHFUU4Wo/d9dUpvfCe/a3o97t2Jgxp34oFKcsVb4S5WJrykIkw+14DzVnTpCpbQNFckqvFLuqnJCkL0EQFtunBXI03FJpPu3T1XU6id8S7ojoJQZSauGUCgmaLqUGdMrd08oo81ecoJSLs51Re9N/lISGmjWFPGpqJLoGq6uo4FHz58hmeyXCgHG742BHz2P3MiH1CXHUT2J8mF6zLhf3SR9Qb3lkrobAh" } استدعاء الدالة { "type" : "function_call" , "name" : "get_weather" , "id" : "gth23981" , "arguments" : { "location" : "Boston, MA" } } نتيجة الدالة { "type" : "function_result" , "name" : "get_weather" , "call_id" : "gth23981" , "result" : { "weather" : "sunny" } } طلب تنفيذ الرمز البرمجي { "type" : "code_execution_call" , "id" : "call_123456" , "arguments" : { "language" : "python" , "code" : "print('hello world')" } } نتيجة تنفيذ الرمز البرمجي { "type" : "code_execution_result" , "call_id" : "call_123456" , "result" : "hello world\n" } طلب سياق عنوان URL { "type" : "url_context_call" , "id" : "call_123456" , "arguments" : { "urls" : [ "https://www.example.com" ] } } نتيجة سياق عنوان URL { "type" : "url_context_result" , "call_id" : "call_123456" , "result" : [ { "url" : "https://www.example.com" , "status" : "SUCCESS" } ] } ميزة "اتصال من Google" { "type" : "google_search_call" , "id" : "call_123456" , "arguments" : { "queries" : [ "weather in Boston" ] } } نتيجة بحث من Google { "type" : "google_search_result" , "call_id" : "call_123456" , "result" : [ { "url" : "https://www.google.com/search?q=weather+in+Boston" , "title" : "Weather in Boston" } ] } Mcp Server Tool Call { "type" : "mcp_server_tool_call" , "id" : "call_123456" , "name" : "get_forecast" , "server_name" : "weather_server" , "arguments" : { "city" : "London" } } نتيجة أداة خادم MCP { "type" : "mcp_server_tool_result" , "name" : "get_forecast" , "server_name" : "weather_server" , "call_id" : "call_123456" , "result" : "sunny" } نتيجة البحث في الملف { "type" : "file_search_result" , "result" : [ { "text" : "search result chunk" , "file_search_store" : "file_search_store" } ] } الأداة الأنواع المحتمَلة المميّز المتعدّد الأشكال: type الوظيفة أداة يمكن أن يستخدمها النموذج name string (اختياري) اسم الدالة description string (اختياري) تمثّل هذه السمة وصفًا للدالة. parameters object (اختيارية) مخطط JSON الخاص بمعلمات الدالة. type string (مطلوبة) لم يتم تقديم أي وصف. يجب ضبطها دائمًا على "function" . GoogleSearch أداة يمكن أن يستخدمها النموذج للبحث على Google type string (مطلوبة) لم يتم تقديم أي وصف. يجب ضبطها دائمًا على "google_search" . CodeExecution أداة يمكن أن يستخدمها النموذج لتنفيذ الرمز البرمجي type string (مطلوبة) لم يتم تقديم أي وصف. يجب ضبطها دائمًا على "code_execution" . UrlContext أداة يمكن أن يستخدمها النموذج لجلب سياق عنوان URL. type string (مطلوبة) لم يتم تقديم أي وصف. يجب ضبطها دائمًا على "url_context" . ComputerUse أداة يمكن أن يستخدمها النموذج للتفاعل مع الكمبيوتر type string (مطلوبة) لم يتم تقديم أي وصف. يجب ضبطها دائمًا على "computer_use" . environment enum (string) (اختياري) البيئة التي يتم تشغيلها القيم المحتملة: browser excludedPredefinedFunctions array (string) (اختياري) قائمة الدوال المحدّدة مسبقًا والتي تم استبعادها من طلب النموذج McpServer خادم MCPServer هو خادم يمكن للنموذج استدعاؤه لتنفيذ إجراءات. type string (مطلوبة) لم يتم تقديم أي وصف. يجب ضبطها دائمًا على "mcp_server" . name string (اختياري) تمثّل هذه السمة اسم MCPServer. url string (اختياري) عنوان URL الكامل لنقطة نهاية MCPServer مثال: "https://api.example.com/mcp" العناوين كائن (اختياري) اختياري: حقول لعناوين المصادقة ومهلات الانتظار وما إلى ذلك، إذا لزم الأمر allowed_tools AllowedTools (اختياري) الأدوات المسموح بها إعدادات الأدوات المسموح بها الحقول mode ToolChoiceType (اختياري) وضع اختيار الأداة القيم المحتملة: auto any none validated tools array (string) (اختياري) أسماء الأدوات المسموح بها FileSearch أداة يمكن للنموذج استخدامها للبحث في الملفات file_search_store_names array (string) (اختياري) أسماء متاجر البحث عن الملفات top_k integer (optional) عدد أجزاء الاسترجاع الدلالي المطلوب استرجاعها. metadata_filter string (اختياري) فلتر البيانات الوصفية الذي سيتم تطبيقه على المستندات والأجزاء التي يتم استرجاعها دلاليًا. type string (مطلوبة) لم يتم تقديم أي وصف. يجب ضبطها دائمًا على "file_search" . أمثلة الوظيفة GoogleSearch CodeExecution UrlContext ComputerUse McpServer FileSearch Turn الحقول role string (اختياري) تمثّل هذه السمة الجهة التي بدأت هذا الدور. يجب أن يكون المستخدم هو مصدر الإدخال أو النموذج هو مصدر الإخراج. content array ( Content ) or string (اختياري) محتوى الدور أمثلة دور المستخدم { "role" : "user" , "content" : [ { "type" : "text" , "text" : "user turn" } ] } Model Turn { "role" : "model" , "content" : [ { "type" : "text" , "text" : "model turn" } ] } InteractionSseEvent الأنواع المحتمَلة المميّز المتعدّد الأشكال: event_type InteractionEvent event_type enum (string) (اختياري) لم يتم تقديم أي وصف. القيم المحتملة: interaction.start interaction.complete interaction التفاعل (اختياري) لم يتم تقديم أي وصف. event_id string (اختياري) الرمز المميّز event_id الذي سيتم استخدامه لاستئناف بث التفاعل، بدءًا من هذا الحدث. InteractionStatusUpdate interaction_id string (اختياري) لم يتم تقديم أي وصف. الحالة تعداد (سلسلة) (اختياري) لم يتم تقديم أي وصف. القيم المحتملة: in_progress requires_action completed failed cancelled event_type string (اختياري) لم يتم تقديم أي وصف. يجب ضبطها دائمًا على "interaction.status_update" . event_id string (اختياري) الرمز المميّز event_id الذي سيتم استخدامه لاستئناف بث التفاعل، بدءًا من هذا الحدث. ContentStart الفهرس عدد صحيح (اختياري) لم يتم تقديم أي وصف. content المحتوى (اختياري) لم يتم تقديم أي وصف. event_type string (اختياري) لم يتم تقديم أي وصف. يجب ضبطها دائمًا على "content.start" . event_id string (اختياري) الرمز المميّز event_id الذي سيتم استخدامه لاستئناف بث التفاعل، بدءًا من هذا الحدث. ContentDelta الفهرس عدد صحيح (اختياري) لم يتم تقديم أي وصف. event_type string (اختياري) لم يتم تقديم أي وصف. يجب ضبطها دائمًا على "content.delta" . event_id string (اختياري) الرمز المميّز event_id الذي سيتم استخدامه لاستئناف بث التفاعل، بدءًا من هذا الحدث. delta object (اختياري) لم يتم تقديم أي وصف. الأنواع المحتمَلة المميّز المتعدّد الأشكال: type TextDelta text string (اختياري) لم يتم تقديم أي وصف. type string (مطلوبة) يُستخدَم كمميّز نوع OpenAPI للمحتوى oneof. يجب ضبطها دائمًا على "text" . annotations Annotation (اختياري) تمثّل هذه السمة معلومات الاقتباس للمحتوى من إنشاء النموذج. تمثّل هذه السمة معلومات الاقتباس للمحتوى من إنشاء النموذج. الحقول start_index integer (اختياري) بداية جزء الردّ الذي يتمّ نسبه إلى هذا المصدر يشير الفهرس إلى بداية المقطع، ويتم قياسه بالبايت. end_index عدد صحيح (اختياري) نهاية الجزء الذي تم تحديد مصدره، غير مشمولة. source string (اختياري) المصدر المنسوب إليه جزء من النص يمكن أن يكون عنوان URL أو عنوانًا أو معرّفًا آخر. ImageDelta data string (اختياري) لم يتم تقديم أي وصف. uri string (اختياري) لم يتم تقديم أي وصف. mime_type ImageMimeTypeOption (اختيارية) لم يتم تقديم أي وصف. القيم المحتملة: image/png image/jpeg image/webp image/heic image/heif نوع MIME الخاص بالصورة. type string (مطلوبة) يُستخدَم كمميّز نوع OpenAPI للمحتوى oneof. يجب ضبطها دائمًا على "image" . resolution MediaResolution (اختياري) تمثّل درجة دقة الوسائط. القيم المحتملة: low medium high AudioDelta data string (اختياري) لم يتم تقديم أي وصف. uri string (اختياري) لم يتم تقديم أي وصف. mime_type AudioMimeTypeOption (اختيارية) لم يتم تقديم أي وصف. القيم المحتملة: audio/wav audio/mp3 audio/aiff audio/aac audio/ogg audio/flac نوع MIME الخاص بالمقطع الصوتي. type string (مطلوبة) يُستخدَم كمميّز نوع OpenAPI للمحتوى oneof. يجب ضبطها دائمًا على "audio" . DocumentDelta data string (اختياري) لم يتم تقديم أي وصف. uri string (اختياري) لم يتم تقديم أي وصف. mime_type string (اختيارية) لم يتم تقديم أي وصف. type string (مطلوبة) يُستخدَم كمميّز نوع OpenAPI للمحتوى oneof. يجب ضبطها دائمًا على "document" . VideoDelta data string (اختياري) لم يتم تقديم أي وصف. uri string (اختياري) لم يتم تقديم أي وصف. mime_type VideoMimeTypeOption (اختيارية) لم يتم تقديم أي وصف. القيم المحتملة: video/mp4 video/mpeg video/mov video/avi video/x-flv video/mpg video/webm video/wmv video/3gpp نوع MIME الخاص بالفيديو. type string (مطلوبة) يُستخدَم كمميّز نوع OpenAPI للمحتوى oneof. يجب ضبطها دائمًا على "video" . resolution MediaResolution (اختياري) تمثّل درجة دقة الوسائط. القيم المحتملة: low medium high ThoughtSummaryDelta type stri | 2026-01-13T09:29:58 |
https://www.notion.com/id/product/notion-for-product-development | Notion for Engineering & Product Development Notion Fitur Notion AI Buat, tulis, otomatiskan Agent Menangani tugas manual Enterprise Search Temukan jawaban secara cepat AI Meeting Notes Ditulis dengan sempurna oleh AI Docs Sederhana & berdaya guna Basis Pengetahuan Pusatkan pengetahuan Anda Projects Kelola proyek Sites Publikasikan apa saja, dengan cepat Memulai Jelajahi kasus penggunaan AI Lihat apa saja yang bisa dilakukan Notion AI Telusuri marketplace Templat untuk semua hal Lihat integrasi Hubungkan aplikasi Anda dengan Notion Unduh web clipper Simpan dari web ke Notion Coba aplikasi desktop Notion untuk pengalaman yang lebih cepat Unduh aplikasi Mail Kalender AI Perusahaan Harga Jelajahi Tim Teknik & Produk Desain Pemasaran TI Ukuran tim Startup UKM Perusahaan Pendidikan Pelajari Pusat bantuan Notion Academy Cerita pelanggan Blog Komunitas Program mitra Buat API Templat Keamanan Konsultan Minta demo Masuk Dapatkan Notion gratis Product development, simplified. Build better products faster by streamlining your entire development process in one connected hub. Request a Demo Try for free Knowledge base One searchable home for your specs, OKRs, and legacy docs Customer Feedback Turn user feedback into actionable insights Roadmap planning Build effective roadmaps your whole team can see, shape, and ship Project and issue tracking Track every sprint, bug, launch across all your tools & teams Notion’s customizable project management view showing tasks, forms, and dependencies Team using Notion to manage projects and knowledge in one connected workspace Notion AI answering a query across team docs and databases Notion AI answering a query across team docs and databases Tool sprawl hurts product velocity. Siloed teams & information Strategy and execution is scattered across different tools, delaying launches. Lack of visibility Docs, information, and updates live everywhere - leading to uninformed decisions. Productivity drain Teams burn hours searching, writing, and context-switching instead of building. Ship better products faster with a connected workspace. End-to-end product development in one place Analyze customer feedback, write PRDs, track progress, and build launch plans in one connected workspace. One home for all your tools Connect essential apps and only see what you need. Less context-switching, more flow. AI-driven product development Speed up cycles with an all-in-one AI assistant designed to help you at every stage of product development. AI-automated workflows Streamline manual work like meeting notes, action items, PRDs, and progress updates. Focus on building. In fast-moving environments with lots of complexity, you need a way to capture all of that and make sense of it. Notion is pretty much the only tool that lets me do that. John Allard Engineering, OpenAI #1 knowledge base and AI writing assistant (G2) 94% of Forbes AI 50 teams use Notion 90% of Forbes Cloud 100 teams use Notion Connected More visibility for better product decisions. Teams always have easy access to the knowledge they need to stay aligned, move faster, and make more informed decisions. Frictionless Smooth handoffs and workflows mean faster launches Roadmaps, PRDs, and tech specs stay connected to projects and tasks. With automated workflows and updates, technical teams stay effortlessly aligned—no knowledge loss or outdated docs. Adaptable Flexibility to build your team’s dream workspace Ditch rigid presets. Easily customize workflows, views, and automations that match how your team works - without the clutter. A tool that technical teams actually want to use. Notion bridges the gap between our high-level product vision and the nitty-gritty details of development. Elliott Choi Staff Product Manager, Cohere Launch speed is everything in our world. We've built a culture on reducing time to deployment, and Notion has become instrumental in this process. Lee Robinson VP of Product, Vercel Notion has been the most powerful and impactful way to streamline our workflow. Rahim Makani Director of Product, Match Keep everything in sync. Give your product development a single home. Embed wireframes and specs, automate task tracking, sync pull requests, and find answers across apps—all inside Notion. See all integrations → Ready to build something beautiful? Your centralized product development in Notion Bring your team's docs, tasks, and communications in one collaborative space — where work flows naturally. Read Guide → Notion for Product Roadmaps See how product leaders track projects across teams, maintain organizational knowledge, and auto-sync progress. Try Interactive Demo → Bring your code into context with GitHub integration Streamline your development, enhance collaboration, and keep your codebase and docs in perfect sync. Read Guide → Welcome to the future of product development. Talk to an expert and see what’s possible when your product development lives in one connected place. Request a demo Bahasa Indonesia Pengaturan cookie © 2026 Notion Labs, Inc. Perusahaan Tentang kami Karier Keamanan Status Ketentuan & privasi Hak privasi Anda Unduh iOS & Android Mac & Windows Kalender Web Clipper Sumber Daya Pusat bantuan Harga Blog Komunitas Integrasi Templat Program mitra Notion untuk Perusahaan Usaha kecil Personal Telusuri lebih lanjut → | 2026-01-13T09:29:58 |
https://play.google.com/store/apps/details?id=notion.id&hl=kk | Notion: Notes, Tasks, AI - Apps on Google Play Games Apps Books Kids google_logo Play Games Apps Books Kids none search help_outline Sign in with Google play_apps Library & devices payment Payments & subscriptions reviews My Play activity redeem Offers Play Pass Personalization in Play settings Settings Privacy Policy • Terms of Service Games Apps Books Kids Notion: Notes, Tasks, AI Notion Labs, Inc. In-app purchases 4.8 star 327K reviews 10M+ Downloads Rated for 3+ info Install Share Add to wishlist About this app arrow_forward Whether you’re looking to track your personal to-do’s, write and organize class notes, or run project management with a team, Notion is the AI-powered workspace that works your way, for any need. Keep track of your personal and professional goals, take notes about what you care about, and stay organized. "AI's everything app" — Forbes Notion is a productivity app where you can write, plan, and organize your notes, projects, tasks and more - all in one place. Ask Notion AI about project updates, upcoming tasks, and suggestions for a more streamlined workflow. Simplify writing notes, project and task management, and collaboration. Whether for personal, student or professional use, Notion scales to meet your individual needs with customization tools for everyone. FREE FOR PERSONAL USE • Create as many notes, docs, and content as you want. • Use one of thousands of templates to get started. FREE TO TRY WITH YOUR TEAM • Millions run on Notion every day, from next-generation startups to established enterprises. • Import Google Docs, PDFs, and other content types easily to get started • Write and organize meeting notes, or transcribe with AI. • Collaboration and team work at your fingertips, in one connected workspace. • Connect tools like Figma, Slack, and GitHub to Notion. FREE FOR STUDENTS • Your study planner, class notes, to do lists and more, your way. Loved by millions of students worldwide. • Get organized for your best school year yet with beautiful, customizable templates created by students, for students. NOTES & DOCS Communication is made efficient with Notion's flexible building blocks. • Create docs with beautiful templates, images, to-dos, and 50+ more content types. • Meeting notes, projects, design systems, pitch decks, and more. • Find exactly what you need using Search with powerful filters to find content across your workspace. TASKS & PROJECTS Catch all details big and small in any workflow. • Workflow manager: Create your own priority labels, status tags, and automations to choose the exact info you want to track. • Capture every detail in a table. Break projects into manageable tasks to get the work done. AI One tool that does it all - search, generate, analyze, and chat - right inside Notion. • Write better. Use Notion AI to help write and brainstorm. • Get answers. Ask Notion AI questions about all your content and get answers in seconds. • Autofill tables. Notion AI turns overwhelming data into clear, actionable information — automatically. SYNCS WITH BROWSER, MAC, AND WINDOWS APPS. • Pick up on mobile where you left off on desktop. MORE PRODUCTIVITY. FEWER TOOLS. • Track to-dos, write notes, create docs, and manage projects in one connected workspace. THINK IT. MAKE IT. Updated on Jan 13, 2026 Productivity Data safety arrow_forward Safety starts with understanding how developers collect and share your data. Data privacy and security practices may vary based on your use, region, and age. The developer provided this information and may update it over time. This app may share these data types with third parties Personal info, App activity and 2 others This app may collect these data types Personal info, Photos and videos and 5 others Data is encrypted in transit You can request that data be deleted See details Ratings and reviews Ratings and reviews are verified info_outline arrow_forward Ratings and reviews are verified info_outline phone_android Phone laptop Chromebook tablet_android Tablet 4.8 319K reviews 5 4 3 2 1 Sommy Nriama more_vert Flag inappropriate Show review history <path d="M12 17.27L18.18 | 2026-01-13T09:29:58 |
https://www.telerik.com/blogs/author/hassan-djirdeh | Hassan Djirdeh - Telerik Blogs skip navigation All Products Product Bundles DevCraft All Telerik .NET tools and Kendo UI JavaScript components in one package. Now enhanced with: MCP Servers Embedded Reporting Document Processing Libraries SSO Account Sign-in Web Kendo UI UI for Angular UI for Vue UI for jQuery KendoReact UI for Blazor UI for ASP.NET Core UI for ASP.NET MVC UI for ASP.NET AJAX Mobile UI for .NET MAUI Document Management Telerik Document Processing Desktop UI for .NET MAUI UI for WinUI UI for WinForms UI for WPF Reporting Telerik Reporting Telerik Report Server Testing & Mocking Test Studio Telerik JustMock CMS Sitefinity AI Productivity Tools MCP Servers UI/UX Tools ThemeBuilder Design System Kit Templates and Building Blocks Debugging Fiddler Fiddler Everywhere Fiddler Classic Fiddler Everywhere Reporter FiddlerCore Free Tools KendoReact Free VB.NET to C# Converter Testing Framework View all products Demos Services Blogs Docs & Support Pricing Shopping cart Your Account Account Overview Your Licenses Downloads Support Center Forum Profile Payment Methods Edit Profile Log out Login Contact Us Get A Free Trial close mobile menu Hassan Djirdeh Hassan is a senior frontend engineer and has helped build large production applications at-scale at organizations like Doordash, Instacart and Shopify. Hassan is also a published author and course instructor where he’s helped thousands of students learn in-depth frontend engineering skills like React, Vue, TypeScript, and GraphQL. Web React KendoReact Internationalization The React Internationalization component package can help translate your app’s numbers and dates into regionally appropriate formats. by Hassan Djirdeh January 12, 2026 6 min read Share AI Progress Agentic RAG: Tuning How We Find and Search for Content Let’s explore the Search configuration panel of Progress Agentic RAG to learn about the settings that can help us tune our RAG responses. by Hassan Djirdeh January 07, 2026 4 min read Share AI An Introductory Walk-through of the Progress Agentic RAG Dashboard With Progress Agentic RAG, you can index appropriate data to provide an LLM more relevant, accurate information. And you can do this in a no-code interface. Let’s explore the dashboard together! by Hassan Djirdeh January 02, 2026 4 min read Share Web React Caching with TanStack Query TanStack Query caching creates an instantaneous feeling user experience. Combined with the KendoReact Loader component, we have a polished React app handling even complex server state smoothly. by Hassan Djirdeh December 30, 2025 7 min read Share Web React An Introduction to Zustand Learn about state management library Zustand and see a practical UI demo using the Progress KendoReact Switch component to toggle a global theme. by Hassan Djirdeh December 26, 2025 7 min read Share 1 2 3 4 5 6 7 8 9 10 ... Next All articles Topics Web Web Blazor ASP.NET Core ASP.NET MVC ASP.NET AJAX Angular React jQuery Vue Mobile Mobile .NET MAUI/Hybrid Desktop Desktop .NET MAUI/Blazor Hybrid WPF WinForms WinUI Design Design UX Design Systems Productivity Productivity Reporting Testing Debugging Document Processing People People Accessibility Humanity Release AI Follow us Most Popular Web Blazor Blazor Basics: Should You Migrate to .NET 10? January 06, 2026 Productivity Document Processing Cloud Integration with Telerik Document Processing December 17, 2025 AI Web React Building ChatGPT Apps with React Components: Introducing KendoReact + Apps SDK January 08, 2026 Latest Stories in Your Inbox Subscribe to be the first to get our expert-written articles and tutorials for developers! 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https://play.google.com/store/apps/details?id=notion.id&hl=es_EC | Notion: Notes, Tasks, AI - Apps on Google Play Games Apps Books Kids google_logo Play Games Apps Books Kids none search help_outline Sign in with Google play_apps Library & devices payment Payments & subscriptions reviews My Play activity redeem Offers Play Pass Personalization in Play settings Settings Privacy Policy • Terms of Service Games Apps Books Kids Notion: Notes, Tasks, AI Notion Labs, Inc. In-app purchases 4.8 star 327K reviews 10M+ Downloads Rated for 3+ info Install Share Add to wishlist About this app arrow_forward Whether you’re looking to track your personal to-do’s, write and organize class notes, or run project management with a team, Notion is the AI-powered workspace that works your way, for any need. Keep track of your personal and professional goals, take notes about what you care about, and stay organized. "AI's everything app" — Forbes Notion is a productivity app where you can write, plan, and organize your notes, projects, tasks and more - all in one place. Ask Notion AI about project updates, upcoming tasks, and suggestions for a more streamlined workflow. Simplify writing notes, project and task management, and collaboration. Whether for personal, student or professional use, Notion scales to meet your individual needs with customization tools for everyone. FREE FOR PERSONAL USE • Create as many notes, docs, and content as you want. • Use one of thousands of templates to get started. FREE TO TRY WITH YOUR TEAM • Millions run on Notion every day, from next-generation startups to established enterprises. • Import Google Docs, PDFs, and other content types easily to get started • Write and organize meeting notes, or transcribe with AI. • Collaboration and team work at your fingertips, in one connected workspace. • Connect tools like Figma, Slack, and GitHub to Notion. FREE FOR STUDENTS • Your study planner, class notes, to do lists and more, your way. Loved by millions of students worldwide. • Get organized for your best school year yet with beautiful, customizable templates created by students, for students. NOTES & DOCS Communication is made efficient with Notion's flexible building blocks. • Create docs with beautiful templates, images, to-dos, and 50+ more content types. • Meeting notes, projects, design systems, pitch decks, and more. • Find exactly what you need using Search with powerful filters to find content across your workspace. TASKS & PROJECTS Catch all details big and small in any workflow. • Workflow manager: Create your own priority labels, status tags, and automations to choose the exact info you want to track. • Capture every detail in a table. Break projects into manageable tasks to get the work done. AI One tool that does it all - search, generate, analyze, and chat - right inside Notion. • Write better. Use Notion AI to help write and brainstorm. • Get answers. Ask Notion AI questions about all your content and get answers in seconds. • Autofill tables. Notion AI turns overwhelming data into clear, actionable information — automatically. SYNCS WITH BROWSER, MAC, AND WINDOWS APPS. • Pick up on mobile where you left off on desktop. MORE PRODUCTIVITY. FEWER TOOLS. • Track to-dos, write notes, create docs, and manage projects in one connected workspace. THINK IT. MAKE IT. Updated on Jan 13, 2026 Productivity Data safety arrow_forward Safety starts with understanding how developers collect and share your data. Data privacy and security practices may vary based on your use, region, and age. The developer provided this information and may update it over time. This app may share these data types with third parties Personal info, App activity and 2 others This app may collect these data types Personal info, Photos and videos and 5 others Data is encrypted in transit You can request that data be deleted See details Ratings and reviews Ratings and reviews are verified info_outline arrow_forward Ratings and reviews are verified info_outline phone_android Phone laptop Chromebook tablet_android Tablet 4.8 319K reviews 5 4 3 2 1 Sommy Nriama more_vert Flag inappropriate Show review history <path d="M12 17.27L18.18 | 2026-01-13T09:29:59 |
https://infisical.com/docs/integrations/platforms/certificate-agent#agent-configuration | Infisical Agent - Infisical Skip to main content Infisical home page Search... ⌘ K Ask AI Log In Start for Free Start for Free Search... Navigation Infrastructure Integrations Infisical Agent Platform Products CLI Reference API Reference SDKs Changelog Certificate Management Overview Concepts Guides Product Reference Certificate Authorities Certificates Enrollment Methods Alerting Infrastructure Integrations Infisical Agent Kubernetes cert-manager Gloo Mesh Windows Server Nginx Apache Server Tomcat JBoss/WildFly Certificate Syncs Overview AWS Certificate Manager AWS Secrets Manager Azure Key Vault Chef External CA Integrations ACME-compatible CA Let's Encrypt DigiCert Microsoft AD CS On this page Concept Workflow Operating the Agent Authentication Agent Configuration Agent Execution Agent Certificate Configuration Parameters Post-Event Hooks Retrying mechanism Example Agent Configuration Files One-Time Certificate Issuance One-Time Certificate Issuance using a Pre-Generated CSR Certificate Issuance with Automatic Renewal Infrastructure Integrations Infisical Agent Learn how to use Infisical CLI Agent to manage certificates automatically. Concept The Infisical Agent is a client daemon that is packaged into the Infisical CLI . It can be used to request a certificate from Infisical using the API enrollment method configured on a certificate profile , persist it to a specified path on the filesystem, and automatically monitor and renew it before expiration. The Infisical Agent is notable: Automating certificate management: The agent can request, persist, monitor, and renew certificates from Infisical automatically without manual intervention. It also supports post-event hooks to execute custom commands after certificate issuance, renewal, or failure events. Leveraging workload identity: The agent can authenticate with Infisical as a machine identity using an infrastructure-native authentication method such as AWS Auth , Azure Auth , GCP Auth , Kubernetes Auth , etc. The typical workflow for using the agent involves installing the Infisical CLI on the target machine, creating a configuration file defining the certificate to request and how it should be managed, and then starting the agent with that configuration so it can request, persist, monitor, and renew the certificate before it expires. This follows a client-driven approach to certificate renewal. Workflow A typical workflow for using the Infisical Agent to request certificates from Infisical consists of the following steps: Create a certificate profile in Infisical with the API enrollment method configured on it. Install the Infisical CLI on the target machine. Create an agent configuration file containing details about the certificate to request and how it should be managed such as renewal thresholds, post-event hooks, etc. Start the agent with that configuration so it can request, persist, monitor, and going forward automatically renew the certificate before it expires on the target machine. Operating the Agent This section describes how to use the Infisical Agent to request certificates from Infisical. It covers how the agent authenticates with Infisical, and how to configure it to start requesting certificates from Infisical. Authentication The Infisical Agent can authenticate with Infisical as a machine identity using one of its supported authentication methods. Upon successful authentication, the agent receives a short-lived access token that it uses to make subsequent authenticated requests to obtain and renew certificates from Infisical; the agent automatically handles token renewal as documented here . Universal Auth The Universal Auth method uses a client ID and secret for authentication. 1 Create a universal auth machine identity To create a universal auth machine identity, follow the step by step guide outlined here . 2 Configure the agent Update the agent configuration file with the auth method and credentials: Copy Ask AI auth : type : "universal-auth" config : client-id : "./client-id" # Path to file containing client ID client-secret : "./client-secret" # Path to file containing client secret remove-client-secret-on-read : false # Optional: remove secret file after reading You can also provide credentials directly: Copy Ask AI auth : type : "universal-auth" config : client-id : "your-client-id" client-secret : "your-client-secret" Kubernetes Auth The Kubernetes Auth method is used when running the agent in a Kubernetes environment. 1 Create a Kubernetes machine identity To create a Kubernetes machine identity, follow the step by step guide outlined here . 2 Configure the agent Configure the agent to use Kubernetes service account authentication: Copy Ask AI auth : type : "kubernetes-auth" config : identity-id : "your-kubernetes-identity-id" service-account-token-path : "/var/run/secrets/kubernetes.io/serviceaccount/token" Azure Auth The Azure Auth method is used when running the agent in an Azure environment. 1 Create an Azure machine identity To create an Azure machine identity, follow the step by step guide outlined here . 2 Configure the agent Configure the agent to use Azure managed identity authentication: Copy Ask AI auth : type : "azure-auth" config : identity-id : "your-azure-identity-id" Native GCP ID Token The Native GCP ID Token method is used to authenticate with Infisical when running in a GCP environment. 1 Create a GCP machine identity To create a GCP machine identity, follow the step by step guide outlined here . 2 Configure the agent Update the agent configuration file with the specified auth method and identity ID: Copy Ask AI auth : type : "gcp-id-token" config : identity-id : "your-gcp-identity-id" GCP IAM The GCP IAM method is used to authenticate with Infisical with a GCP service account key. 1 Create a GCP machine identity To create a GCP machine identity, follow the step by step guide outlined here . 2 Configure the agent Update the agent configuration file with the specified auth method, identity ID, and service account key: Copy Ask AI auth : type : "gcp-iam" config : identity-id : "your-gcp-identity-id" service-account-key : "/path/to/service-account-key.json" Native AWS IAM The AWS IAM method is used to authenticate with Infisical with an AWS IAM role while running in an AWS environment. 1 Create an AWS machine identity To create an AWS machine identity, follow the step by step guide outlined here . 2 Configure the agent Update the agent configuration file with the specified auth method and identity ID: Copy Ask AI auth : type : "aws-iam" config : identity-id : "your-aws-identity-id" Agent Configuration The Infisical Agent relies on a YAML configuration file to define its behavior, including how it should authenticate with Infisical, the certificate it should request, and how that certificate should be managed including auto-renewal. The code snippet below shows an example configuration file that instructs the agent to request and continuously renew a certificate from Infisical. Note that not all configuration options in this file are required but this example includes all of the available options. example-cert-agent-config.yaml Copy Ask AI version : v1 # Infisical server configuration infisical : address : "https://app.infisical.com" # The URL of the Infisical instance (e.g. https://app.infisical.com, https://eu.infisical.com, https://your-self-hosted-instance.com) retry-strategy : max-retries : 3 max-delay : "5s" base-delay : "200ms" # Infisical authentication configuration auth : type : "universal-auth" # The authentication method to use (e.g. universal-auth, kubernetes-auth, azure-auth, gcp-id-token, gcp-iam, aws-iam) config : client-id : "your-client-id" client-secret : "your-client-secret" # Certificate configuration certificates : - profile-name : "prof-web-server-12345" project-slug : "my-project-slug" attributes : common-name : "api.example.com" alt-names : [ "api.example.com" , "api-v2.example.com" ] ttl : "90d" key-algorithm : "RSA_2048" signature-algorithm : "RSA-SHA256" key-usages : - "digital_signature" - "key_encipherment" extended-key-usages : - "server_auth" # Enable automatic certificate renewal lifecycle : renew-before-expiry : "30d" status-check-interval : "6h" # Configure where to store the issued certificate and its associated private key and certificate chain file-output : private-key : path : "/etc/ssl/private/web.key" permission : "0600" # Read/write for owner only certificate : path : "/etc/ssl/certs/web.crt" permission : "0644" # Read for all, write for owner chain : path : "/etc/ssl/certs/web-chain.crt" permission : "0644" # Read for all, write for owner omit-root : true # Exclude the root CA certificate in chain # Configure custom commands to execute after certificate issuance, renewal, or failure events post-hooks : on-issuance : command : | echo "Certificate issued for ${CERT_COMMON_NAME}" systemctl reload nginx timeout : 30 on-renewal : command : | echo "Certificate renewed for ${CERT_COMMON_NAME}" systemctl reload nginx timeout : 30 on-failure : command : | echo "Certificate operation failed: ${ERROR_MESSAGE}" mail -s "Certificate Alert" [email protected] < /dev/null timeout : 30 To be more specific, the configuration file instructs the agent to: Authenticate with Infisical using the Universal Auth authentication method. Request a 90-day certificate against the certificate profile named prof-web-server-12345 with the common name web.company.com and the subject alternative names web.company.com and www.company.com . Automatically renew the certificate 30 days before expiration by checking the certificate status every 6 hours and retrying up to 3 times with a base delay of 200ms and a maximum delay of 5s if the certificate status check fails. Store the certificate and its associated private key and certificate chain (excluding the root CA certificate) in the filesystem at the specified paths with the specified permissions. Execute custom commands after certificate issuance, renewal, or failure events such as reloading an nginx service or sending an email notification. Agent Execution After creating the configuration file, you can run the command below with the --config flag pointing to the path where the agent configuration file is located. Copy Ask AI infisical cert-manager agent --config /path/to/your/agent-config.yaml This will start the agent as a daemon process, continuously monitoring and managing certificates according to your configuration. You can also run it in the foreground for debugging: Copy Ask AI infisical cert-manager agent --config /path/to/your/agent-config.yaml --verbose For production deployments, you may consider running the agent as a system service to ensure it starts automatically and runs continuously. Agent Certificate Configuration Parameters The table below provides a complete list of parameters that can be configured in the certificate configuration section of the agent configuration file: Parameter Required Description profile-name Yes The name of the certificate profile to request a certificate against (e.g., web-server-12345 ) project-slug Yes The slug of the project to request a certificate against (e.g., my-project-slug ) common-name Optional The common name for the certificate (e.g. www.example.com ) alt-names Optional The list of subject alternative names for the certificate (e.g., ["www.example.com", "api.example.com"] ) ttl Optional (uses profile default if not specified) The time-to-live duration for the certificate, specified as a duration string (e.g. 72h , 90d , 1y , etc.) key-algorithm Optional The algorithm for the certificate key pair. One of: RSA_2048 , RSA_3072 , RSA_4096 , EC_prime256v1 , EC_secp384r1 , EC_secp521r1 . signature-algorithm Optional The algorithm used to sign the certificate. One of: RSA-SHA256 , RSA-SHA384 , RSA-SHA512 , ECDSA-SHA256 , ECDSA-SHA384 , ECDSA-SHA512 . key-usages Optional The list of key usage values for the certificate. One or more of: digital_signature , key_encipherment , non_repudiation , data_encipherment , key_agreement , key_cert_sign , crl_sign , encipher_only , decipher_only . extended-key-usages Optional The list of extended key usage values for the certificate. One or more of: server_auth , client_auth , code_signing , email_protection , timestamping , ocsp_signing . csr-path Conditional The path to a certificate signing request (CSR) file (e.g., ./csr/webserver.csr , /etc/ssl/csr.pem ). This is required if using a pre-generated CSR. file-output.private-key.path Optional (required if the csr-path is not specified) The path to store the private key (required if not using a CSR) file-output.private-key.permission Optional (defaults to 0600 ) The octal file permissions for the private key file (e.g. 0600 ) file-output.certificate.path Yes The path to store the issued certificate in the filesystem file-output.certificate.permission Optional (defaults to 0600 ) The octal file permissions for the certificate file (e.g. 0644 ) file-output.chain.path Optional The path to store the certificate chain in the filesystem. file-output.chain.permission Optional (defaults to 0600 ) The octal permissions for the chain file (e.g. 0644 ) file-output.chain.omit-root Optional (defaults to true ) Whether to exclude the root CA certificate from the returned certificate chain lifecycle.renew-before-expiry Optional (auto-renewal is disabled if not set) Duration before certificate expiration when renewal checks should begin, specified as a duration string (e.g. 72h , 90d , 1y , etc.) lifecycle.status-check-interval Optional (defaults to 10s ) How frequently the agent checks certificate status and renewal needs, specified as a duration string (e.g. 10s , 30m , 1d , etc.) post-hooks.on-issuance.command Optional The shell command to execute after a certificate is successfully issued for the first time (e.g., systemctl reload nginx , /usr/local/bin/reload-service.sh ) post-hooks.on-issuance.timeout Optional (defaults to 30 ) Maximum execution time in seconds for the on-issuance post-hook command before it is terminated (e.g., 30 , 60 , 120 ) post-hooks.on-renewal.command Optional The shell command to execute after a certificate is successfully renewed (e.g., systemctl reload nginx , docker restart web-server ) post-hooks.on-renewal.timeout Optional (defaults to 30 ) Maximum execution time in seconds for the on-renewal post-hook command before it is terminated (e.g., 30 , 60 , 120 ) post-hooks.on-failure.command Optional The shell command to execute when certificate issuance or renewal fails (e.g., logger 'Certificate renewal failed' , /usr/local/bin/alert.sh ) post-hooks.on-failure.timeout Optional (defaults to 30 ) Maximum execution time in seconds for the on-failure post-hook command before it is terminated (e.g., 10 , 30 , 60 ) Post-Event Hooks The Infisical Agent supports running custom commands in response to certificate lifecycle events such as issuance, renewal, and failure through the post-hooks configuration in the agent configuration file. Issuance Hook Renewal Hook Failure Hook Runs when a new certificate is successfully issued: Copy Ask AI post-hooks : on-issuance : command : | echo "New certificate issued for ${CERT_COMMON_NAME}" chown nginx:nginx ${CERT_FILE_PATH} chmod 644 ${CERT_FILE_PATH} systemctl reload nginx timeout : 30 Runs when a certificate is successfully renewed: Copy Ask AI post-hooks : on-renewal : command : | echo "Certificate renewed for ${CERT_COMMON_NAME}" # Reload services that use the certificate systemctl reload nginx systemctl reload haproxy # Send notification curl -X POST https://hooks.slack.com/... \ -d "{'text': 'Certificate for ${CERT_COMMON_NAME} renewed successfully'}" timeout : 60 Runs when certificate operations fail: Copy Ask AI post-hooks : on-failure : command : | echo "Certificate operation failed for ${CERT_COMMON_NAME}: ${ERROR_MESSAGE}" # Send alert mail -s "Certificate Failure Alert" [email protected] < /dev/null # Log to syslog logger -p daemon.error "Certificate agent failure: ${ERROR_MESSAGE}" timeout : 30 Retrying mechanism The Infisical Agent will automatically attempt to retry any failed API requests including authentication, certificate issuance, and renewal operations. By default, the agent will retry up to 3 times with a base delay of 200ms and a maximum delay of 5s. You can configure the retrying mechanism through the agent configuration file: Copy Ask AI infisical : address : "https://app.infisical.com" retry-strategy : max-retries : 3 max-delay : "5s" base-delay : "200ms" # ... rest of the agent configuration file Example Agent Configuration Files Since there are several ways you might want to use the Infisical Agent to request certificates from Infisical, we provide a few example configuration files for common use cases below to help you get started. One-Time Certificate Issuance The code snippet below shows a configuration file that instructs the agent to request a certificate from Infisical once without performing any subsequent auto-renewal. Copy Ask AI version : v1 # Infisical server configuration infisical : address : "https://app.infisical.com" # The URL of the Infisical instance (e.g. https://app.infisical.com, https://eu.infisical.com, https://your-self-hosted-instance.com) retry-strategy : max-retries : 3 max-delay : "5s" base-delay : "200ms" # Infisical authentication configuration auth : type : "universal-auth" # The authentication method to use (e.g. universal-auth, kubernetes-auth, azure-auth, gcp-id-token, gcp-iam, aws-iam) config : client-id : "your-client-id" client-secret : "your-client-secret" # Certificate configuration certificates : - profile-name : "prof-web-server-12345" project-slug : "my-project-slug" attributes : common-name : "api.example.com" alt-names : - "api.example.com" - "api-v2.example.com" key-algorithm : "RSA_2048" signature-algorithm : "RSA-SHA256" key-usages : - "digital_signature" - "key_encipherment" extended-key-usages : - "server_auth" ttl : "30d" file-output : private-key : path : "/etc/ssl/private/api.example.com.key" permission : "0600" certificate : path : "/etc/ssl/certs/api.example.com.crt" permission : "0644" chain : path : "/etc/ssl/certs/api.example.com.chain.crt" permission : "0644" omit-root : true One-Time Certificate Issuance using a Pre-Generated CSR The code snippet below shows a configuration file that instructs the agent to request a certificate from Infisical once using a pre-generated CSR. Note that when csr-path is specified: The private-key is omitted from the configuration file because we assume that it is pre-generated and managed externally, with only the CSR being submitted to Infisical for signing. The agent will not be able to perform any auto-renewal operations, as it is assumed to not have access to the private key required to generate a new CSR. Copy Ask AI version : v1 # Infisical server configuration infisical : address : "https://app.infisical.com" # The URL of the Infisical instance (e.g. https://app.infisical.com, https://eu.infisical.com, https://your-self-hosted-instance.com) retry-strategy : max-retries : 3 max-delay : "5s" base-delay : "200ms" # Infisical authentication configuration auth : type : "universal-auth" # The authentication method to use (e.g. universal-auth, kubernetes-auth, azure-auth, gcp-id-token, gcp-iam, aws-iam) config : client-id : "your-client-id" client-secret : "your-client-secret" # Certificate configuration certificates : - profile-name : "prof-web-server-12345" project-slug : "my-project-slug" csr-path : "/etc/ssl/requests/api.csr" file-output : certificate : path : "/etc/ssl/certs/api.example.com.crt" permission : "0644" chain : path : "/etc/ssl/certs/api.example.com.chain.crt" permission : "0644" omit-root : true Certificate Issuance with Automatic Renewal The code snippet below shows a configuration file that instructs the agent to request a certificate from Infisical and continuously renew it 14 days before expiration, checking the certificate status every 6 hours. Copy Ask AI version : v1 # Infisical server configuration infisical : address : "https://app.infisical.com" # The URL of the Infisical instance (e.g. https://app.infisical.com, https://eu.infisical.com, https://your-self-hosted-instance.com) retry-strategy : max-retries : 3 max-delay : "5s" base-delay : "200ms" # Infisical authentication configuration auth : type : "universal-auth" # The authentication method to use (e.g. universal-auth, kubernetes-auth, azure-auth, gcp-id-token, gcp-iam, aws-iam) config : client-id : "your-client-id" client-secret : "your-client-secret" # Certificate configuration certificates : - profile-name : "prof-web-server-12345" project-slug : "my-project-slug" attributes : common-name : "api.example.com" alt-names : - "api.example.com" - "api-v2.example.com" key-algorithm : "RSA_2048" signature-algorithm : "RSA-SHA256" key-usages : - "digital_signature" - "key_encipherment" extended-key-usages : - "server_auth" ttl : "30d" lifecycle : renew-before-expiry : "14d" # Renew 14 days before expiration status-check-interval : "6h" # Check certificate status every 6 hours file-output : private-key : path : "/etc/ssl/private/api.example.com.key" permission : "0600" certificate : path : "/etc/ssl/certs/api.example.com.crt" permission : "0644" chain : path : "/etc/ssl/certs/api.example.com.chain.crt" permission : "0644" post-hooks : on-issuance : command : "systemctl reload nginx" timeout : 30 on-renewal : command : "systemctl reload nginx && logger 'Certificate renewed'" timeout : 30 Was this page helpful? Yes No Suggest edits Raise issue Alerting Kubernetes cert-manager ⌘ I Infisical home page x linkedin github slack PRODUCT Secret Management Secret Scanning Share Secrets Pricing Security Blog Infisical vs Vault Forum USE CASES Infisical Agent Kubernetes Dynamic Secrets Terraform Ansible Jenkins Docker AWS ECS GitLab GitHub SDK DEVELOPERS Changelog Status Feedback & Requests Trust of Center Open Source Friends How to contribute OTHERS Customers Company Handbook Careers Terms of Service Privacy Policy Subprocessors SLA Team Email Sales Support Powered by self.__next_f.push([1,"\"use strict\";\nconst {Fragment: _Fragment, jsx: _jsx, jsxs: _jsxs} = arguments[0];\nconst {useMDXComponents: _provideComponents} = arguments[0];\nfunction _createMdxContent(props) {\n const _components = {\n a: \"a\",\n code: \"code\",\n li: \"li\",\n ol: \"ol\",\n p: \"p\",\n pre: \"pre\",\n span: \"span\",\n strong: \"strong\",\n tbody: \"tbody\",\n td: \"td\",\n th: \"th\",\n thead: \"thead\",\n tr: \"tr\",\n ul: \"ul\",\n ..._provideComponents(),\n ...props.components\n }, {Accordion, AccordionGroup, CodeBlock, Heading, Step, Steps, Tab, Table, Tabs} = _components;\n if (!Accordion) _missingMdxReference(\"Accordion\", true);\n if (!AccordionGroup) _missingMdxReference(\"AccordionGroup\", true);\n if (!CodeBlock) _missingMdxReference(\"CodeBlock\", true);\n if (!Heading) _missingMdxReference(\"Heading\", true);\n if (!Step) _missingMdxReference(\"Step\", true);\n if (!Steps) _missingMdxReference(\"Steps\", true);\n if (!Tab) _missingMdxReference(\"Tab\", true);\n if (!Table) _missingMdxReference(\"Table\", true);\n if (!Tabs) _missingMdxReference(\"Tabs\", true);\n return _jsxs(_Fragment, {\n children: [_jsx(Heading, {\n level: \"2\",\n id: \"concept\",\n children: \"Concept\"\n }), \"\\n\", _jsxs(_components.p, {\n children: [\"The Infisical Agent is a client daemon that is packaged into the \", _jsx(_components.a, {\n href: \"/cli/overview\",\n children: \"Infisical CLI\"\n }), \".\\nIt can be used to request a certificate from Infisical using the \", _jsx(_components.a, {\n href: \"/documentation/platform/pki/enrollment-methods/api\",\n children: \"API enrollment method\"\n }), \" configured on a \", _jsx(_components.a, {\n href: \"/documentation/platform/pki/certificates/profiles\",\n children: \"certificate profile\"\n }), \", persist it to a specified path on the filesystem, and automatically monitor and renew it before expiration.\"]\n }), \"\\n\", _jsx(_components.p, {\n children: \"The Infisical Agent is notable:\"\n }), \"\\n\", _jsxs(_components.ul, {\n children: [\"\\n\", _jsx(_components.li, {\n children: \"Automating certificate management: The agent can request, persist, monitor, and renew certificates from Infisical automatically without manual intervention. It also supports post-event hooks to execute custom commands after certificate issuance, renewal, or failure events.\"\n }), \"\\n\", _jsxs(_components.li, {\n children: [\"Leveraging workload identity: The agent can authenticate with Infisical as a \", _jsx(_components.a, {\n href: \"/documentation/platform/identities/machine-identities\",\n children: \"machine identity\"\n }), \" using an infrastructure-native authentication method such as \", _jsx(_components.a, {\n href: \"/docs/documentation/platform/identities/aws-auth\",\n children: \"AWS Auth\"\n }), \", \", _jsx(_components.a, {\n href: \"/docs/documentation/platform/identities/azure-auth\",\n children: \"Azure Auth\"\n }), \", \", _jsx(_components.a, {\n href: \"/docs/documentation/platform/identities/gcp-auth\",\n children: \"GCP Auth\"\n }), \", \", _jsx(_components.a, {\n href: \"/docs/documentation/platform/identities/kubernetes-auth\",\n children: \"Kubernetes Auth\"\n }), \", etc.\"]\n }), \"\\n\"]\n }), \"\\n\", _jsxs(_components.p, {\n children: [\"The typical workflow for using the agent involves installing the Infisical CLI on the target machine, creating a configuration file defining the certificate to request and how it should be managed, and then starting the agent with that configuration so it can request, persist, monitor, and renew the certificate before it expires.\\nThis follows a \", _jsx(_components.a, {\n href: \"/documentation/platform/pki/certificates/certificates#client-driven-certificate-renewal\",\n children: \"client-driven approach\"\n }), \" to certificate renewal.\"]\n }), \"\\n\", _jsx(Heading, {\n level: \"2\",\n id: \"workflow\",\n children: \"Workflow\"\n }), \"\\n\", _jsx(_components.p, {\n children: \"A typical workflow for using the Infisical Agent to request certificates from Infisical consists of the following steps:\"\n }), \"\\n\", _jsxs(_components.ol, {\n children: [\"\\n\", _jsxs(_components.li, {\n children: [\"Create a \", _jsx(_components.a, {\n href: \"/documentation/platform/pki/certificates/profiles\",\n children: \"certificate profile\"\n }), \" in Infisical with the \", _jsx(_components.a, {\n href: \"/documentation/platform/pki/enrollment-methods/api\",\n children: \"API enrollment method\"\n }), \" configured on it.\"]\n }), \"\\n\", _jsxs(_components.li, {\n children: [\"Install the \", _jsx(_components.a, {\n href: \"/cli/overview\",\n children: \"Infisical CLI\"\n }), \" on the target machine.\"]\n }), \"\\n\", _jsxs(_components.li, {\n children: [\"Create an agent \", _jsx(_components.a, {\n href: \"/integrations/platforms/certificate-agent#agent-configuration\",\n children: \"configuration file\"\n }), \" containing details about the certificate to request and how it should be managed such as renewal thresholds, post-event hooks, etc.\"]\n }), \"\\n\", _jsx(_components.li, {\n children: \"Start the agent with that configuration so it can request, persist, monitor, and going forward automatically renew the certificate before it expires on the target machine.\"\n }), \"\\n\"]\n }), \"\\n\", _jsx(Heading, {\n level: \"2\",\n id: \"operating-the-agent\",\n children: \"Operating the Agent\"\n }), \"\\n\", _jsx(_components.p, {\n children: \"This section describes how to use the Infisical Agent to request certificates from Infisical. It covers how the agent authenticates with Infisical,\\nand how to configure it to start requesting certificates from Infisical.\"\n }), \"\\n\", _jsx(Heading, {\n level: \"3\",\n id: \"authentication\",\n children: \"Authentication\"\n }), \"\\n\", _jsxs(_components.p, {\n children: [\"The Infisical Agent can authenticate with Infisical as a \", _jsx(_components.a, {\n href: \"/documentation/platform/identities/machine-identities\",\n children: \"machine identity\"\n }), \" using one of its supported authentication methods.\"]\n }), \"\\n\", _jsxs(_components.p, {\n children: [\"Upon successful authentication, the agent receives a short-lived access token that it uses to make subsequent authenticated requests to obtain and renew certificates from Infisical;\\nthe agent automatically handles token renewal as documented \", _jsx(_components.a, {\n href: \"/integrations/platforms/infisical-agent#token-renewal\",\n children: \"here\"\n }), \".\"]\n }), \"\\n\", _jsxs(AccordionGroup, {\n children: [_jsxs(Accordion, {\n title: \"Universal Auth\",\n children: [_jsx(_components.p, {\n children: \"The Universal Auth method uses a client ID and secret for authentication.\"\n }), _jsxs(Steps, {\n children: [_jsx(Step, {\n title: \"Create a universal auth machine identity\",\n children: _jsxs(_components.p, {\n children: [\"To create a universal auth machine identity, follow the step by step guide outlined \", _jsx(_components.a, {\n href: \"/documentation/platform/identities/universal-auth\",\n children: \"here\"\n }), \".\"]\n })\n }), _jsxs(Step, {\n title: \"Configure the agent\",\n children: [_jsx(_components.p, {\n children: \"Update the agent configuration file with the auth method and credentials:\"\n }), _jsx(CodeBlock, {\n filename: \"\",\n numberOfLines: \"6\",\n language: \"yaml\",\n children: _jsx(_components.pre, {\n className: \"shiki shiki-themes dark-plus dark-plus\",\n style: {\n backgroundColor: \"#0B0C0E\",\n \"--shiki-dark-bg\": \"#0B0C0E\",\n color: 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children: [_jsx(_components.span, {\n style: {\n color: \"#569CD6\",\n \"--shiki-dark\": \"#569CD6\"\n },\n children: \" config\"\n }), _jsx(_components.span, {\n style: {\n color: \"#D4D4D4\",\n \"--shiki-dark\": \"#D4D4D4\"\n },\n children: \":\"\n })]\n }), \"\\n\", _jsxs(_components.span, {\n className: \"line\",\n children: [_jsx(_components.span, {\n style: {\n color: \"#569CD6\",\n \"--shiki-dark\": \"#569CD6\"\n },\n children: \" client-id\"\n }), _jsx(_components.span, {\n style: {\n color: \"#D4D4D4\",\n \"--shiki-dark\": \"#D4D4D4\"\n },\n children: \": \"\n }), _jsx(_components.span, {\n style: {\n color: \"#CE9178\",\n \"--shiki-dark\": \"#CE9178\"\n },\n children: \"\\\"./client-id\\\"\"\n }), _jsx(_components.span, {\n style: {\n color: \"#6A9955\",\n \"--shiki-dark\": \"#6A9955\"\n },\n children: \" # Path to file containing client ID\"\n })]\n }), \"\\n\", _jsxs(_components.span, {\n className: \"line\",\n children: [_jsx(_components.span, {\n style: {\n color: \"#569CD6\",\n \"--shiki-dark\": \"#569CD6\"\n },\n children: \" client-secret\"\n }), _jsx(_components.span, {\n style: {\n color: \"#D4D4D4\",\n \"--shiki-dark\": \"#D4D4D4\"\n },\n children: \": \"\n }), _jsx(_components.span, {\n style: {\n color: \"#CE9178\",\n \"--shiki-dark\": \"#CE9178\"\n },\n children: \"\\\"./client-secret\\\"\"\n }), _jsx(_components.span, {\n style: {\n color: \"#6A9955\",\n \"--shiki-dark\": \"#6A9955\"\n },\n children: \" # Path to file containing client secret\"\n })]\n }), \"\\n\", _jsxs(_components.span, {\n className: \"line\",\n children: [_jsx(_components.span, {\n style: {\n color: \"#569CD6\",\n \"--shiki-dark\": \"#569CD6\"\n },\n children: \" remove-client-secret-on-read\"\n }), _jsx(_components.span, {\n style: {\n color: \"#D4D4D4\",\n \"--shiki-dark\": \"#D4D4D4\"\n },\n children: \": \"\n }), _jsx(_components.span, {\n style: {\n color: \"#569CD6\",\n \"--shiki-dark\": \"#569CD6\"\n },\n children: \"false\"\n }), _jsx(_components.span, {\n 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_jsx(_components.span, {\n style: {\n color: \"#D4D4D4\",\n \"--shiki-dark\": \"#D4D4D4\"\n },\n children: \":\"\n })]\n }), \"\\n\", _jsxs(_components.span, {\n className: \"line\",\n children: [_jsx(_components.span, {\n style: {\n color: \"#569CD6\",\n \"--shiki-dark\": \"#569CD6\"\n },\n children: \" type\"\n }), _jsx(_components.span, {\n style: {\n color: \"#D4D4D4\",\n \"--shiki-dark\": \"#D4D4D4\"\n },\n children: \": \"\n }), _jsx(_components.span, {\n style: {\n color: \"#CE9178\",\n \"--shiki-dark\": \"#CE9178\"\n },\n children: \"\\\"gcp-iam\\\"\"\n })]\n }), \"\\n\", _jsxs(_components.span, {\n className: \"line\",\n children: [_jsx(_components.span, {\n style: {\n color: \"#569CD6\",\n \"--shiki-dark\": \"#569CD6\"\n },\n children: \" config\"\n }), _jsx(_components.span, {\n style: {\n color: \"#D4D4D4\",\n \"--shiki-dark\": \"#D4D4D4\"\n },\n children: \":\"\n })]\n }), \"\\n\", _jsxs(_components.span, {\n className: \"line\",\n children: [_jsx(_components.span, {\n style: {\n color: \"#569CD6\",\n \"--shiki-dark\": \"#569CD6\"\n },\n children: \" identity-id\"\n }), _jsx(_components.span, {\n style: {\n color: \"#D4D4D4\",\n \"--shiki-dark\": \"#D4D4D4\"\n },\n children: \": \"\n }), _jsx(_components.span, {\n | 2026-01-13T09:29:59 |
https://www.notion.com/cdn-cgi/l/email-protection#2f5b4a4e426f424e444a41405b464041014c4042 | Email Protection | Cloudflare Please enable cookies. Email Protection You are unable to access this email address notion.com The website from which you got to this page is protected by Cloudflare. Email addresses on that page have been hidden in order to keep them from being accessed by malicious bots. You must enable Javascript in your browser in order to decode the e-mail address . If you have a website and are interested in protecting it in a similar way, you can sign up for Cloudflare . How does Cloudflare protect email addresses on website from spammers? Can I sign up for Cloudflare? Cloudflare Ray ID: 9bd3df4fa9c1d1d7 • Your IP: Click to reveal 1.208.108.242 • Performance & security by Cloudflare | 2026-01-13T09:29:59 |
https://wordpress.com/ja/support/data-processing-agreements/ | データ処理契約条項 – 日本語サポート 商品 機能 リソース プランと料金 ログイン 始めてみよう メニュー WordPress ホスティング WordPress パートナープログラム アフィリエイトに参加 ドメイン名 AI サイトビルダー サイトビルダー ブログを作成 ニュースレター ビジネス用メールアドレス サイトデザインサービス コマース WordPress Studio エンタープライズ WordPress 概要 WordPress テーマ WordPress プラグイン WordPress パターン Google Apps サポートセンター WordPress ニュース 会社名ジェネレータ ロゴメーカー 新しい投稿を見る 人気のタグ ブログ検索 ナビゲーションメニューを閉じる 始めてみよう 登録 ログイン 紹介 プランと料金 商品 WordPress ホスティング WordPress パートナープログラム アフィリエイトに参加 ドメイン名 AI サイトビルダー サイトビルダー ブログを作成 ニュースレター ビジネス用メールアドレス サイトデザインサービス コマース WordPress Studio エンタープライズ WordPress 機能 概要 WordPress テーマ WordPress プラグイン WordPress パターン Google Apps リソース サポートセンター WordPress ニュース 会社名ジェネレータ ロゴメーカー 新しい投稿を見る 人気のタグ ブログ検索 Jetpack アプリ さらに詳しく サポートセンター ガイド コース フォーラム お問い合わせ 検索 サポートセンター / ガイド サポートセンター ガイド コース フォーラム お問い合わせ ガイド / 運営方針と安全について / データ処理契約条項 データ処理契約条項 GDPR のデータ保護法とデータ転送法に準拠する形でお客様がサイトとオンラインビジネスを運営できるよう支援するのが Automattic のミッションです。 ミッション達成の一環として、Automattic ではデータ処理契約を提供しています。データ処理契約とは、お客様のサイトのデータ処理者である Automattic に適用される GDPR の要件に Automattic が準拠していることが記載された契約のことです。この契約は、Automattic とその子会社へのお客様データの転送を規定する標準モデル条項の要件を満たすものでもあります。 データ処理契約は Automattic の利用規約の修正条項であり、WordPress.com の全サイト所有者にご利用いただけます。 データ処理に関する規約を追加で締結することにより、サイト訪問者のプライバシーとセキュリティに関する当社の慣行に変更が生じることはありません。当社のサービスを利用するすべてのお客様に対し、高い水準を満たしたプライバシー保護とセキュリティ対策が引き続き適用されます。 データ処理契約はどのようにして入手できますか ? Automattic とデータ処理契約を締結する場合は、WordPress.com アカウントにログインした状態で、ダッシュボードの 「DPA をリクエスト」 ボタンをクリックしてください。このボタンをクリックすると、アカウントのメールアドレスに DPA が自動的に送信されます。署名のうえ privacypolicyupdates@automattic.com までご返送いただければ処理を進めさせていただきます。 DPA が最も有用なのはどのようなサイトですか ? Automattic と共有されるお客様ご自身のデータは プライバシーポリシー の対象となっています。プライバシーポリシーでは、GDPR に沿って お客様 のデータを処理するための Automattic の義務について要点がまとめられています。一部のユーザー (主にビジネス) は、 他者 に関するデータが Automattic と共有される形でサイトを使用しています。 たとえば、他者の名前と住所を収集、保存し、その情報を使用して荷物を配送するストアを WordPress.com 上に開設しているサイト所有者もいます。 このタイプの情報の場合、GDPR ではサイト所有者 (通常はビジネス) が「データ管理者」となります。管理者が EU 圏内居住者に関するデータを取り扱う場合、管理者はこの管理対象データに適用される契約を締結し、当社の標準ポリシーではカバーされない追加の責任を含める必要があります。この「データ処理契約」はビジネス間の契約であり、一般的な無料サイトの所有者やプライベート利用者には適用されず、必要もありません。 これに当てはまるデータ管理者の場合、または WordPress.com の使用を規定する契約を締結することに何らかの懸念がある場合は、お問い合わせいただければ対応させていただきます。 関連するガイド 亡くなられたサイト所有者 不正なログイン試行を防ぐ 一時停止中のコンテンツとサイト 支払いに対するサブスクリプション 必要なものが見つからなかった場合 お問い合わせ 有料プランでは、AI アシスタントから回答を得たり、人間のエキスパートによる24時間年中無休のサポートを受けたりできます。 フォーラムで質問する 質問を参照して、他の経験豊富なユーザーから回答を得ることができます。 Copied to clipboard! WordPress.com 商品 WordPress ホスティング WordPress パートナープログラム アフィリエイトに参加 ドメイン名 AI サイトビルダー サイトビルダー ブログを作成 ビジネス用メールアドレス サイトデザインサービス WordPress Studio エンタープライズ WordPress 機能 概要 WordPress テーマ WordPress プラグイン WordPress パターン Google Apps リソース WordPress.com ブログ 会社名ジェネレータ ロゴメーカー WordPress.com Reader アクセシビリティ サブスクリプションを削除 ヘルプ サポートセンター ガイド コース フォーラム お問い合わせ 開発者向けリソース 会社 紹介 プレス 利用規約 プライバシーポリシー 個人情報を販売または共有しないでください カリフォルニア州のユーザーへのプライバシー通知 Deutsch Español Français Bahasa Indonesia Italiano Nederlands Português do Brasil Svenska Türkçe Русский العربية עִבְרִית 日本語 한국어 简体中文 繁體中文 English Deutsch Español Français Bahasa Indonesia Italiano Nederlands Português do Brasil Svenska Türkçe Русский العربية עִבְרִית 日本語 한국어 简体中文 繁體中文 English モバイルアプリ ダウンロード場所 アプリストア 取得場所 Google Play ソーシャルメディア WordPress.com の Facebook WordPress.com X (Twitter) WordPress.com の Instagram WordPress.com の YouTube Automattic Automattic 求人情報 日本語サポート 登録 ログイン 短縮リンクをコピー このコンテンツを報告 購読管理 | 2026-01-13T09:29:59 |
https://openchainproject.org/news/2024/09/27/webinar-ai-the-current-legal-landscape#searchbox | Webinar: AI – The Current Legal Landscape – OpenChain Skip to main content Search Close Search search Menu Adopt Our Standards Reference Library Webinars Participate Ambassadors Partners Processes FAQ About News twitter linkedin github search Webinar: AI – The Current Legal Landscape By Shane Coughlan 2024-09-27 ai , Featured , legal , News , Webinar No Comments This OpenChain webinar focused on the current legal landscape of AI, covering four main topics: (1) open source and AI, (2) current litigation around AI, (3) an overview of current and forthcoming laws and regulations pertaining to AI, and (4) privacy and data protection and AI, including a case study on scraping biometric data for a facial recognition AI system. It is recommended for all legal, business executive and project management personnel with a remit to engage with open source and/or AI projects and products. Watch the Webinar Review the Slides Learn More About Our Speakers Anthony Decicco Tony is a member in GTC’s IP Strategy, Mergers & Acquisitions, and Business & Technology Transactions groups. He focuses on mergers and acquisitions, strategic development of patent portfolios, valuing and commercializing intellectual property assets, and licensing and other technology-related transactions. In addition, Tony founded and oversees the firm’s Open Source Compliance and Due Diligence practice and has extensive experience advising clients regarding the use of open source software. He has reviewed the results of literally thousands of code scans. Tony is also the Co-Lead of GTC’s Artificial Intelligence practice and has counseled clients regarding traditional AI/ML ( i.e. algorithmic/rules-based) for many years and has more recently focused on generative AI. He specializes in data set licensing and strategies for acquiring and collecting data, developing patent portfolios focused on AI inventions and applications of AI technologies, developing AI-related contract terms, risk assessment and mitigation, and related policies and guidelines, in respect of using AI to generate and test software code and the intersections between open source software and AI. Tony is the co-chair of the AI & Cloud Computing sector of the Licensing Executives Society. Tony’s clients range from individual inventors to Fortune 100 companies. Given his extensive experience on both the buy and sell sides of mergers and acquisitions, patent purchases/sales and IP/technology licensing transactions, he is a trusted advisor to clients on all sides of the table. For acquirers, a key strength is his ability to leverage this experience to quickly identify and assess IP-related risks. On the sell side, this experience translates to grooming clients and positioning IP assets to maximize value and minimize issues during rigorous due diligence. Prior to joining GTC, Tony was a member of the IP & Technology, Internet & E-Commerce and M&A practice groups at Skadden, Arps, Slate, Meagher & Flom. He has research and professional experience in a diverse range of fields, including patent valuation, law and economics, molecular evolution, apoptosis, and lipid biochemistry. Tony holds an Honors B.Sc. in Biochemistry from McMaster University, an M.A. in Economics and a J.D., both from the University of Toronto, where he was a law review editor. He is admitted to practice in Massachusetts, New York, Ontario, and before the United States Patent and Trademark Office (with Limited Recognition). Shea Leitch Shea Leitch is a member of GTC’s growing Data Privacy group with over 10 years at the forefront of privacy and data protection law. Shea has served as a trusted advisor to multinational companies in an array of industries who rely on her to provide timely, strategic and practical advice as they build and adapt their global privacy and security programs. Shea provides strategic guidance to clients regarding a wide array of data protection concerns from the ground-up development of enterprise-wide privacy and security compliance programs and cybersecurity assessments, to targeted guidance on discrete privacy and security issues. With CIPP/US and CIPP/E certifications from the International Association of Privacy Professionals, Shea provides tailored guidance on privacy and cybersecurity issues, including regulatory compliance and risk management, security assessments and remediation, security incident preparation and response, and enforcement matters. Shea also provides targeted guidance on privacy compliance for clients using emerging technologies, including biometrics, artificial intelligence and AdTech. As a strategic advisor, Shea helps clients bring products to market by identifying practical solutions that facilitate business growth and innovation, while mitigating legal and regulatory risk. Prior to joining GTC, Shea was Counsel at Squire Patton Boggs, LLP. She holds a B.A. in Political Science and Government from The Ohio State University, and a J.D. from The Ohio State University Moritz College of Law. Stanislav Zakharenko Stas Zakharenko practices in GTC’s thriving Technology Transactions and Artificial Intelligence groups and has over 18 years of experience at the forefront of intellectual property, technology and digital media law, including as the General Counsel of Audible, Senior Counsel at Amazon and Director of Product and Tech Legal at Netflix. Stas brings a rare blend of deep legal expertise, demonstrated business experience and executive-level leadership to his clients. Stas’ experience spans providing product development legal counseling, negotiating complex technology and content agreements as well as providing strategic legal and business leadership to clients ranging from startups through Fortune 50 companies. In his most recent role as the Director of Product and Tech Legal at Netflix, Stas advised engineers and data scientists in navigating the rapidly evolving machine learning landscape and growing artificial intelligence wave. Stas’ demonstrated record of deeply understanding the technical intricacies of emerging technologies, in combination with his legal expertise, allows him to deliver practical, forward-looking legal solutions that support and drive innovation. In addition to holding a J.D. from Boston University, Stas holds a B.A. in Music from Stony Brook University and is an avid musician in community jazz and classical groups. Wael Nackasha Wael Louis Nackasha focuses on M&A due diligence and technology-related transactional matters. Wael specializes in open source and commercial software licensing, agreements for the sharing of strategic and commercially sensitive technology, and IP strategy advice, as well as artificial intelligence and generative artificial intelligence related matters, including risk management, policies, and assessment of training datasets. Wael drafts and prosecutes patent applications covering a wide range of technologies, including machine learning, blockchain, electrical, telecommunications, and computer-related technology. Before joining GTC, Wael was an Associate at Ridout and Maybee LLP where he practiced before both the USPTO and CIPO. Prior to becoming an attorney, Wael spent several years as a research scientist and software developer. He has published scientific papers in conferences and journals on machine learning, biometrics, computer vision, signal and image processing, and statistical signal processing. Wael holds a J.D. from Osgoode Hall Law School, a Ph.D. and a Master of Applied Science in Electrical and Computer Engineering from the University of Toronto with dissertations focused on artificial intelligence, and a Bachelor of Engineering in Electrical Engineering from Ryerson University (renamed as Toronto Metropolitan University). In his Ph.D. dissertation titled “Online and Continuous Electrocardiogram (ECG) Biometric System” (2017), Wael proposed a biometric system for continuously monitoring the identity of subjects using their electrocardiogram signals. The dissertation includes proposing novel feature extraction and detecting and removing abnormal electrocardiogram signals using statistical models. In his Master of Applied Science dissertation titled “Weakly Trained Parallel Classifier and CoLBP Features for Frontal Face Detection in Surveillance Applications” (2010), Wael developed a computer vision system for face detection using novel discriminative features. Check Out Our Previous Generative AI Webinar From GTC Law: https://openchainproject.org/featured/2023/09/14/webinar-56 More About Our Webinars: This event is part of the overarching OpenChain Project Webinar Series. Our series highlights knowledge from throughout the global OpenChain eco-system. Participants are discussing approaches, processes and activities from their experience, providing a free service to increase shared knowledge in the supply chain. Our goal, as always, is to increase trust and therefore efficiency. No registration or costs involved. This is user companies producing great informative content for their peers. Check Out The Rest Of Our Webinars https://www.openchainproject.org/webinars This OpenChain Webinar was broadcast on 2024-09-24. Comments are closed. --> Legal We use CC-BY-4.0 for our specifications We use CC-0 for reference material We use The Linux Foundation anti-trust policy We use The Linux Foundation Events Code of Conduct © 2026 OpenChain. All rights reserved. The Linux Foundation has registered trademarks and uses trademarks. For a list of trademarks of The Linux Foundation, please see our Trademark Usage page. Linux is a registered trademark of Linus Torvalds. Privacy Policy and Terms of Use Close Menu Adopt Our Standards Reference Library Webinars Participate Ambassadors Partners Processes FAQ About News twitter linkedin github | 2026-01-13T09:29:59 |
https://www.telerik.com/blogs/tag/accessibility?page=1 | Accessibility Tag - Telerik Blogs skip navigation All Products Product Bundles DevCraft All Telerik .NET tools and Kendo UI JavaScript components in one package. Now enhanced with: MCP Servers Embedded Reporting Document Processing Libraries SSO Account Sign-in Web Kendo UI UI for Angular UI for Vue UI for jQuery KendoReact UI for Blazor UI for ASP.NET Core UI for ASP.NET MVC UI for ASP.NET AJAX Mobile UI for .NET MAUI Document Management Telerik Document Processing Desktop UI for .NET MAUI UI for WinUI UI for WinForms UI for WPF Reporting Telerik Reporting Telerik Report Server Testing & Mocking Test Studio Telerik JustMock CMS Sitefinity AI Productivity Tools MCP Servers UI/UX Tools ThemeBuilder Design System Kit Templates and Building Blocks Debugging Fiddler Fiddler Everywhere Fiddler Classic Fiddler Everywhere Reporter FiddlerCore Free Tools KendoReact Free VB.NET to C# Converter Testing Framework View all products Demos Services Blogs Docs & Support Pricing Shopping cart Your Account Account Overview Your Licenses Downloads Support Center Forum Profile Payment Methods Edit Profile Log out Login Contact Us Get A Free Trial close mobile menu Tag: Accessibility People Accessibility The Next Development Discipline Is ADD Accessibility-Driven Development turns WCAG into a discipline. With the EU Accessibility Act as the deadline, ADD is the next discipline to drive quality. by Teon Beijl November 10, 2025 4 min read Share Design UX People Accessibility Design, Code, Comply: Accessibility in Workforce Learning See how Resolute helped one client build a more functional, accessible and scalable web experience by instituting accessibility best practices and leveraging Progress tools. by Leman Pehlivanova September 23, 2025 5 min read Share Web React People Accessibility It’s Global Accessibility Awareness Day: Do the Quiz! In celebration of Global Accessibility Awareness Day, we have a quiz to test your knowledge of accessibility best practices, including a few specific to React. by Hassan Djirdeh June 24, 2025 2 min read Share Design UX People Accessibility What Is Accessible UX Design, and What Is an Accessible Application? Accessible UX design means anyone can use your digital product. Learn some of the ways to make your digital experience more accessible. by Hassan Djirdeh March 26, 2025 5 min read Share Web Angular Accessibility Improving Your Navigation Accessibility: 4 Quick Tips Any one of these four improvements to your app’s navigation would vastly advance its accessibility. See them in practice within an Angular app. by Alyssa Nicoll March 10, 2025 8 min read Share 1 2 3 4 5 6 7 8 9 10 ... Next All articles Topics Web Web Blazor ASP.NET Core ASP.NET MVC ASP.NET AJAX Angular React jQuery Vue Mobile Mobile .NET MAUI/Hybrid Desktop Desktop .NET MAUI/Blazor Hybrid WPF WinForms WinUI Design Design UX Design Systems Productivity Productivity Reporting Testing Debugging Document Processing People People Accessibility Humanity Release AI Follow us Most Popular Web Blazor Blazor Basics: Should You Migrate to .NET 10? 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https://www.notion.com/ar/templates/category/ticketing | قوالب إصدار التذاكر | متجر Notion Notion الميزات Notion AI إنشاء، كتابة، أتمتة الوكلاء يتعامل مع المهام اليدوية بحث المؤسسة اعثر على إجابات على الفور ملاحظات الاجتماع المدعومة بالذكاء الاصطناعي مكتوبة بشكل مثالي بواسطة الذكاء الاصطناعي المُستندات بسيط وقوي قاعدة المعرفة تجميع معرفتك في مكان واحد المشاريع إدارة أي مشروع المواقع انشر أي شيء بسرعة البدء استكشاف حالات استخدام الذكاء الاصطناعي تعرّف على قدرات Notion AI تصفح السوق قوالب لكل شيء عرض عمليات التكامل ربط تطبيقاتك مع Notion تنزيل web clipper حفظ من الويب إلى Notion جرّب تطبيق Notion لسطح المكتب للحصول على تجربة أسرع تنزيل التطبيق البريد التقويم الذكاء الاصطناعي الخطة المؤسسية التسعير استكشاف الفرق الهندسة والمنتج التصميم التسويق تقنية المعلومات حجم الفريق الشركات الناشئة الشركات الصغيرة والمتوسطة المؤسسة التعليم التعلم مركز المساعدة أكاديمية Notion قصص العملاء المدونة المجتمع برامج الشركاء الإصدار واجهة برمجة التطبيقات (API) القوالب الأمان الاستشاريون اطلب عرضاً توضيحياً 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Notion مجاني NotoMantra مجاني Lowkey no key مجاني 1 2 3 4 5 → المجموعات ذات الصلة تصفّح جميع المجموعات الأسئلة الشائعة هل يدعم Notion قوالب المشاريع لمختلف القطاعات؟ نعم، يوفّر Notion قوالب مشاريع لمختلف القطاعات، من البرمجيات والتسويق إلى البناء والتعليم. يمكن تخصيص كل قالب ليتناسب مع سير العمل الخاص بكل قطاع، مع الحفاظ على مبادئ إدارة المشاريع الأساسية. هل تسمح أدوات إدارة مشاريع Notion بإنشاء سير عمل مخصص؟ نعم. يتيح لك نهج Notion القابل للتكوين إنشاء مهام سير عمل مخصّصة تلائم احتياجات فريقك، وتدمج طرق العرض والخصائص المختلفة التي يمكن تطويرها مع مسار تغير مشاريعك. ماذا تعني "إدارة المشاريع القابلة للتكوين"؟ الفكرة هنا هي إنشاء نظامك من أجزاء معيارية يمكن إعادة تكوينها مع تغير الاحتياجات. أداتك لإدارة المشاريع، من تصميمك، ولأجلك. هل Notion جيد لإدارة المشاريع؟ نعم. تستخدم الفرق Notion لإدارة الخطط، والمهام، والجداول الزمنية، والمستندات، وتحديثات الحالة في مكان واحد. ونظراً لأن القوالب قابلة للتكوين، يمكنك تخصيص مهام سير العمل (Agile وWaterfall وHybrid) من دون الحاجة لدمج أدوات متعددة 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Notion، واحصل على فرصة لعرضه بشكل مميّز، وحتى تحقيق دخل مادي – كل ذلك ببضع نقرات فقط. البدء → العربية إعدادات ملفات تعريف الارتباط © 2026 Notion Labs, Inc. الشركة نبذة عنا الوظائف الأمان الحالة الشروط والخصوصية حقوقك المتعلقة بالخصوصية تنزيل iOS وAndroid Mac وWindows التقويم Web Clipper الموارد مركز المساعدة التسعير المدونة المجتمع عمليات التكامل القوالب برامج الشركاء Notion لأجل الخطة المؤسسية الشركات الصغيرة شخصي استكشف المزيد → 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https://9to5google.com/?p=148675 | This week's top stories: Galaxy Note 7 launch, Nexus leaks, best Android phones for August & much more Skip to main content Toggle main menu 9to5Google Logo Go to the 9to5Google home page Switch site 9to5Mac Logo 9to5Mac 9to5Toys Electrek Drone DJ Logo DroneDJ Space Explored About Privacy Toggle social menu Toggle dark mode Search for: Submit Toggle search form Exclusives Gemini Pixel Google Pixel 9 Pro Fold Google Pixel 9 Pro XL Google Pixel 9 Pro Google Pixel 9 Pixel 8 Pro Pixel 8 Google Pixel Watch 3 Pixel Watch Google Pixel Buds Pro 2 Pixel Buds Pro Nest Nest Hub Nest Hub Max Nest Mini Nest Audio Nest Thermostats Nest Cam Nest Doorbell Android Android 15 Android 14 Auto Wear OS Samsung OnePlus Oppo Xiaomi Chrome Google Chrome ChromeOS TV Google TV Android TV Chromecast Chromecast with Google TV Workspace Gmail Google Meet Google Chat Google Calendar Google Keep Google Drive Google Docs YouTube YouTube YouTube Music YouTube TV Reviews Videos Toggle dark mode Android Alphabet Galaxy Note 7 This week’s top stories: Galaxy Note 7 launch, Nexus leaks, best Android phones for August & much more Jordan Kahn | Aug 6 2016 - 8:32 am PT 0 Comments In this week’s top stories: Galaxy Note 7 launch details, Nexus (and Nexus Launcher) leaks, the best Android phones for August, and much more. Android | The Galaxy Note 7 launch made up much of our top shared stories this week. We went hands-on with first impressions and gave you the rundown on preorders and a free Gear Fit 2 deal available through Sprint and T-Mobile. The Nexus leaks continued this week including a downloadable APK of Google’s new Nexus Launcher alongside many more details about the much rumored upcoming Nexus phones. Advertisement - scroll for more content We also gave you our monthly rundown on the best flagship and budget Android phones for August, and we reviewed the new $99 ZTE ZMax Pro in this week’s top videos. Head below for these and the rest of this week’s top stories. Exclusive: Sprint & T-Mobile giving away free Gear Fit 2 w/ purchase of Galaxy Note 7 Supposed ’Nexus Launcher’ for Google’s upcoming Nexus phones just leaked, download the APK here ‘Nexus Launcher’ leaks with redesigned app drawer and no search bar New Nexus devices to support ‘swipe fingerprint’ gesture, ‘Electric Blue’ color coming Android Nougat’s ‘flowered’ home button animation will be tied to Google Assistant, and it looks awesome Here’s how to pre-order the Samsung Galaxy Note 7 on AT&T, Verizon, Sprint, and T-Mobile Marlin & Sailfish Nexus backgrounds leak as Google works on new live, functional wallpapers New Nexus phones will bring new Ambient Display features, ‘Support’ tab in Settings app, ‘Night Light’ feature Best flagship Android phones you can buy [August 2016] Best budget Android smartphones you can buy [August 2016] Samsung’s Galaxy S7 Edge was the world’s best-selling Android phone during the first half of 2016 Alphabet | GOOG | Google has sold 30 million Chromecasts, 5 million in the past 2 months Google & Dashlane introduce a new open source password manager API called ‘Open YOLO’ Google keeps you plugged into Olympic schedules, results, videos & more in search results Google Account sign-in notifications are now sent directly to your Android device Apps | Major Pokemon Go update adjusts stats, removes broken Nearby feature, allows avatar customization, more Restaurant/bar cards now include reviews & best-of lists, Now cards appearing in Now on Tap Android apps are now available on Chrome OS beta channel, still limited to three devices Chromebooks running Android apps can be located with Android Device Manager This week’s top videos | Review: ZTE ZMax Pro is an amazing phone for $99, but with one fatal flaw [Video] Samsung Galaxy Note 7 hands-on and first impressions [Video] Subscribe to get all 9to5Google’s stories delivered to your inbox daily. 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https://play.google.com/store/apps/details?id=notion.id&hl=gu | Notion: Notes, Tasks, AI - Apps on Google Play Games Apps Books Kids google_logo Play Games Apps Books Kids none search help_outline Sign in with Google play_apps Library & devices payment Payments & subscriptions reviews My Play activity redeem Offers Play Pass Personalization in Play settings Settings Privacy Policy • Terms of Service Games Apps Books Kids Notion: Notes, Tasks, AI Notion Labs, Inc. In-app purchases 4.8 star 327K reviews 10M+ Downloads Rated for 3+ info Install Share Add to wishlist About this app arrow_forward Whether you’re looking to track your personal to-do’s, write and organize class notes, or run project management with a team, Notion is the AI-powered workspace that works your way, for any need. Keep track of your personal and professional goals, take notes about what you care about, and stay organized. "AI's everything app" — Forbes Notion is a productivity app where you can write, plan, and organize your notes, projects, tasks and more - all in one place. Ask Notion AI about project updates, upcoming tasks, and suggestions for a more streamlined workflow. Simplify writing notes, project and task management, and collaboration. Whether for personal, student or professional use, Notion scales to meet your individual needs with customization tools for everyone. FREE FOR PERSONAL USE • Create as many notes, docs, and content as you want. • Use one of thousands of templates to get started. FREE TO TRY WITH YOUR TEAM • Millions run on Notion every day, from next-generation startups to established enterprises. • Import Google Docs, PDFs, and other content types easily to get started • Write and organize meeting notes, or transcribe with AI. • Collaboration and team work at your fingertips, in one connected workspace. • Connect tools like Figma, Slack, and GitHub to Notion. FREE FOR STUDENTS • Your study planner, class notes, to do lists and more, your way. Loved by millions of students worldwide. • Get organized for your best school year yet with beautiful, customizable templates created by students, for students. NOTES & DOCS Communication is made efficient with Notion's flexible building blocks. • Create docs with beautiful templates, images, to-dos, and 50+ more content types. • Meeting notes, projects, design systems, pitch decks, and more. • Find exactly what you need using Search with powerful filters to find content across your workspace. TASKS & PROJECTS Catch all details big and small in any workflow. • Workflow manager: Create your own priority labels, status tags, and automations to choose the exact info you want to track. • Capture every detail in a table. Break projects into manageable tasks to get the work done. AI One tool that does it all - search, generate, analyze, and chat - right inside Notion. • Write better. Use Notion AI to help write and brainstorm. • Get answers. Ask Notion AI questions about all your content and get answers in seconds. • Autofill tables. Notion AI turns overwhelming data into clear, actionable information — automatically. SYNCS WITH BROWSER, MAC, AND WINDOWS APPS. • Pick up on mobile where you left off on desktop. MORE PRODUCTIVITY. FEWER TOOLS. • Track to-dos, write notes, create docs, and manage projects in one connected workspace. THINK IT. MAKE IT. Updated on Jan 13, 2026 Productivity Data safety arrow_forward Safety starts with understanding how developers collect and share your data. Data privacy and security practices may vary based on your use, region, and age. The developer provided this information and may update it over time. This app may share these data types with third parties Personal info, App activity and 2 others This app may collect these data types Personal info, Photos and videos and 5 others Data is encrypted in transit You can request that data be deleted See details Ratings and reviews Ratings and reviews are verified info_outline arrow_forward Ratings and reviews are verified info_outline phone_android Phone laptop Chromebook tablet_android Tablet 4.8 319K reviews 5 4 3 2 1 Sommy Nriama more_vert Flag inappropriate Show review history <p | 2026-01-13T09:29:59 |
https://infisical.com/docs/integrations/platforms/certificate-agent#agent-certificate-configuration-parameters | Infisical Agent - Infisical Skip to main content Infisical home page Search... ⌘ K Ask AI Log In Start for Free Start for Free Search... Navigation Infrastructure Integrations Infisical Agent Platform Products CLI Reference API Reference SDKs Changelog Certificate Management Overview Concepts Guides Product Reference Certificate Authorities Certificates Enrollment Methods Alerting Infrastructure Integrations Infisical Agent Kubernetes cert-manager Gloo Mesh Windows Server Nginx Apache Server Tomcat JBoss/WildFly Certificate Syncs Overview AWS Certificate Manager AWS Secrets Manager Azure Key Vault Chef External CA Integrations ACME-compatible CA Let's Encrypt DigiCert Microsoft AD CS On this page Concept Workflow Operating the Agent Authentication Agent Configuration Agent Execution Agent Certificate Configuration Parameters Post-Event Hooks Retrying mechanism Example Agent Configuration Files One-Time Certificate Issuance One-Time Certificate Issuance using a Pre-Generated CSR Certificate Issuance with Automatic Renewal Infrastructure Integrations Infisical Agent Learn how to use Infisical CLI Agent to manage certificates automatically. Concept The Infisical Agent is a client daemon that is packaged into the Infisical CLI . It can be used to request a certificate from Infisical using the API enrollment method configured on a certificate profile , persist it to a specified path on the filesystem, and automatically monitor and renew it before expiration. The Infisical Agent is notable: Automating certificate management: The agent can request, persist, monitor, and renew certificates from Infisical automatically without manual intervention. It also supports post-event hooks to execute custom commands after certificate issuance, renewal, or failure events. Leveraging workload identity: The agent can authenticate with Infisical as a machine identity using an infrastructure-native authentication method such as AWS Auth , Azure Auth , GCP Auth , Kubernetes Auth , etc. The typical workflow for using the agent involves installing the Infisical CLI on the target machine, creating a configuration file defining the certificate to request and how it should be managed, and then starting the agent with that configuration so it can request, persist, monitor, and renew the certificate before it expires. This follows a client-driven approach to certificate renewal. Workflow A typical workflow for using the Infisical Agent to request certificates from Infisical consists of the following steps: Create a certificate profile in Infisical with the API enrollment method configured on it. Install the Infisical CLI on the target machine. Create an agent configuration file containing details about the certificate to request and how it should be managed such as renewal thresholds, post-event hooks, etc. Start the agent with that configuration so it can request, persist, monitor, and going forward automatically renew the certificate before it expires on the target machine. Operating the Agent This section describes how to use the Infisical Agent to request certificates from Infisical. It covers how the agent authenticates with Infisical, and how to configure it to start requesting certificates from Infisical. Authentication The Infisical Agent can authenticate with Infisical as a machine identity using one of its supported authentication methods. Upon successful authentication, the agent receives a short-lived access token that it uses to make subsequent authenticated requests to obtain and renew certificates from Infisical; the agent automatically handles token renewal as documented here . Universal Auth The Universal Auth method uses a client ID and secret for authentication. 1 Create a universal auth machine identity To create a universal auth machine identity, follow the step by step guide outlined here . 2 Configure the agent Update the agent configuration file with the auth method and credentials: Copy Ask AI auth : type : "universal-auth" config : client-id : "./client-id" # Path to file containing client ID client-secret : "./client-secret" # Path to file containing client secret remove-client-secret-on-read : false # Optional: remove secret file after reading You can also provide credentials directly: Copy Ask AI auth : type : "universal-auth" config : client-id : "your-client-id" client-secret : "your-client-secret" Kubernetes Auth The Kubernetes Auth method is used when running the agent in a Kubernetes environment. 1 Create a Kubernetes machine identity To create a Kubernetes machine identity, follow the step by step guide outlined here . 2 Configure the agent Configure the agent to use Kubernetes service account authentication: Copy Ask AI auth : type : "kubernetes-auth" config : identity-id : "your-kubernetes-identity-id" service-account-token-path : "/var/run/secrets/kubernetes.io/serviceaccount/token" Azure Auth The Azure Auth method is used when running the agent in an Azure environment. 1 Create an Azure machine identity To create an Azure machine identity, follow the step by step guide outlined here . 2 Configure the agent Configure the agent to use Azure managed identity authentication: Copy Ask AI auth : type : "azure-auth" config : identity-id : "your-azure-identity-id" Native GCP ID Token The Native GCP ID Token method is used to authenticate with Infisical when running in a GCP environment. 1 Create a GCP machine identity To create a GCP machine identity, follow the step by step guide outlined here . 2 Configure the agent Update the agent configuration file with the specified auth method and identity ID: Copy Ask AI auth : type : "gcp-id-token" config : identity-id : "your-gcp-identity-id" GCP IAM The GCP IAM method is used to authenticate with Infisical with a GCP service account key. 1 Create a GCP machine identity To create a GCP machine identity, follow the step by step guide outlined here . 2 Configure the agent Update the agent configuration file with the specified auth method, identity ID, and service account key: Copy Ask AI auth : type : "gcp-iam" config : identity-id : "your-gcp-identity-id" service-account-key : "/path/to/service-account-key.json" Native AWS IAM The AWS IAM method is used to authenticate with Infisical with an AWS IAM role while running in an AWS environment. 1 Create an AWS machine identity To create an AWS machine identity, follow the step by step guide outlined here . 2 Configure the agent Update the agent configuration file with the specified auth method and identity ID: Copy Ask AI auth : type : "aws-iam" config : identity-id : "your-aws-identity-id" Agent Configuration The Infisical Agent relies on a YAML configuration file to define its behavior, including how it should authenticate with Infisical, the certificate it should request, and how that certificate should be managed including auto-renewal. The code snippet below shows an example configuration file that instructs the agent to request and continuously renew a certificate from Infisical. Note that not all configuration options in this file are required but this example includes all of the available options. example-cert-agent-config.yaml Copy Ask AI version : v1 # Infisical server configuration infisical : address : "https://app.infisical.com" # The URL of the Infisical instance (e.g. https://app.infisical.com, https://eu.infisical.com, https://your-self-hosted-instance.com) retry-strategy : max-retries : 3 max-delay : "5s" base-delay : "200ms" # Infisical authentication configuration auth : type : "universal-auth" # The authentication method to use (e.g. universal-auth, kubernetes-auth, azure-auth, gcp-id-token, gcp-iam, aws-iam) config : client-id : "your-client-id" client-secret : "your-client-secret" # Certificate configuration certificates : - profile-name : "prof-web-server-12345" project-slug : "my-project-slug" attributes : common-name : "api.example.com" alt-names : [ "api.example.com" , "api-v2.example.com" ] ttl : "90d" key-algorithm : "RSA_2048" signature-algorithm : "RSA-SHA256" key-usages : - "digital_signature" - "key_encipherment" extended-key-usages : - "server_auth" # Enable automatic certificate renewal lifecycle : renew-before-expiry : "30d" status-check-interval : "6h" # Configure where to store the issued certificate and its associated private key and certificate chain file-output : private-key : path : "/etc/ssl/private/web.key" permission : "0600" # Read/write for owner only certificate : path : "/etc/ssl/certs/web.crt" permission : "0644" # Read for all, write for owner chain : path : "/etc/ssl/certs/web-chain.crt" permission : "0644" # Read for all, write for owner omit-root : true # Exclude the root CA certificate in chain # Configure custom commands to execute after certificate issuance, renewal, or failure events post-hooks : on-issuance : command : | echo "Certificate issued for ${CERT_COMMON_NAME}" systemctl reload nginx timeout : 30 on-renewal : command : | echo "Certificate renewed for ${CERT_COMMON_NAME}" systemctl reload nginx timeout : 30 on-failure : command : | echo "Certificate operation failed: ${ERROR_MESSAGE}" mail -s "Certificate Alert" [email protected] < /dev/null timeout : 30 To be more specific, the configuration file instructs the agent to: Authenticate with Infisical using the Universal Auth authentication method. Request a 90-day certificate against the certificate profile named prof-web-server-12345 with the common name web.company.com and the subject alternative names web.company.com and www.company.com . Automatically renew the certificate 30 days before expiration by checking the certificate status every 6 hours and retrying up to 3 times with a base delay of 200ms and a maximum delay of 5s if the certificate status check fails. Store the certificate and its associated private key and certificate chain (excluding the root CA certificate) in the filesystem at the specified paths with the specified permissions. Execute custom commands after certificate issuance, renewal, or failure events such as reloading an nginx service or sending an email notification. Agent Execution After creating the configuration file, you can run the command below with the --config flag pointing to the path where the agent configuration file is located. Copy Ask AI infisical cert-manager agent --config /path/to/your/agent-config.yaml This will start the agent as a daemon process, continuously monitoring and managing certificates according to your configuration. You can also run it in the foreground for debugging: Copy Ask AI infisical cert-manager agent --config /path/to/your/agent-config.yaml --verbose For production deployments, you may consider running the agent as a system service to ensure it starts automatically and runs continuously. Agent Certificate Configuration Parameters The table below provides a complete list of parameters that can be configured in the certificate configuration section of the agent configuration file: Parameter Required Description profile-name Yes The name of the certificate profile to request a certificate against (e.g., web-server-12345 ) project-slug Yes The slug of the project to request a certificate against (e.g., my-project-slug ) common-name Optional The common name for the certificate (e.g. www.example.com ) alt-names Optional The list of subject alternative names for the certificate (e.g., ["www.example.com", "api.example.com"] ) ttl Optional (uses profile default if not specified) The time-to-live duration for the certificate, specified as a duration string (e.g. 72h , 90d , 1y , etc.) key-algorithm Optional The algorithm for the certificate key pair. One of: RSA_2048 , RSA_3072 , RSA_4096 , EC_prime256v1 , EC_secp384r1 , EC_secp521r1 . signature-algorithm Optional The algorithm used to sign the certificate. One of: RSA-SHA256 , RSA-SHA384 , RSA-SHA512 , ECDSA-SHA256 , ECDSA-SHA384 , ECDSA-SHA512 . key-usages Optional The list of key usage values for the certificate. One or more of: digital_signature , key_encipherment , non_repudiation , data_encipherment , key_agreement , key_cert_sign , crl_sign , encipher_only , decipher_only . extended-key-usages Optional The list of extended key usage values for the certificate. One or more of: server_auth , client_auth , code_signing , email_protection , timestamping , ocsp_signing . csr-path Conditional The path to a certificate signing request (CSR) file (e.g., ./csr/webserver.csr , /etc/ssl/csr.pem ). This is required if using a pre-generated CSR. file-output.private-key.path Optional (required if the csr-path is not specified) The path to store the private key (required if not using a CSR) file-output.private-key.permission Optional (defaults to 0600 ) The octal file permissions for the private key file (e.g. 0600 ) file-output.certificate.path Yes The path to store the issued certificate in the filesystem file-output.certificate.permission Optional (defaults to 0600 ) The octal file permissions for the certificate file (e.g. 0644 ) file-output.chain.path Optional The path to store the certificate chain in the filesystem. file-output.chain.permission Optional (defaults to 0600 ) The octal permissions for the chain file (e.g. 0644 ) file-output.chain.omit-root Optional (defaults to true ) Whether to exclude the root CA certificate from the returned certificate chain lifecycle.renew-before-expiry Optional (auto-renewal is disabled if not set) Duration before certificate expiration when renewal checks should begin, specified as a duration string (e.g. 72h , 90d , 1y , etc.) lifecycle.status-check-interval Optional (defaults to 10s ) How frequently the agent checks certificate status and renewal needs, specified as a duration string (e.g. 10s , 30m , 1d , etc.) post-hooks.on-issuance.command Optional The shell command to execute after a certificate is successfully issued for the first time (e.g., systemctl reload nginx , /usr/local/bin/reload-service.sh ) post-hooks.on-issuance.timeout Optional (defaults to 30 ) Maximum execution time in seconds for the on-issuance post-hook command before it is terminated (e.g., 30 , 60 , 120 ) post-hooks.on-renewal.command Optional The shell command to execute after a certificate is successfully renewed (e.g., systemctl reload nginx , docker restart web-server ) post-hooks.on-renewal.timeout Optional (defaults to 30 ) Maximum execution time in seconds for the on-renewal post-hook command before it is terminated (e.g., 30 , 60 , 120 ) post-hooks.on-failure.command Optional The shell command to execute when certificate issuance or renewal fails (e.g., logger 'Certificate renewal failed' , /usr/local/bin/alert.sh ) post-hooks.on-failure.timeout Optional (defaults to 30 ) Maximum execution time in seconds for the on-failure post-hook command before it is terminated (e.g., 10 , 30 , 60 ) Post-Event Hooks The Infisical Agent supports running custom commands in response to certificate lifecycle events such as issuance, renewal, and failure through the post-hooks configuration in the agent configuration file. Issuance Hook Renewal Hook Failure Hook Runs when a new certificate is successfully issued: Copy Ask AI post-hooks : on-issuance : command : | echo "New certificate issued for ${CERT_COMMON_NAME}" chown nginx:nginx ${CERT_FILE_PATH} chmod 644 ${CERT_FILE_PATH} systemctl reload nginx timeout : 30 Runs when a certificate is successfully renewed: Copy Ask AI post-hooks : on-renewal : command : | echo "Certificate renewed for ${CERT_COMMON_NAME}" # Reload services that use the certificate systemctl reload nginx systemctl reload haproxy # Send notification curl -X POST https://hooks.slack.com/... \ -d "{'text': 'Certificate for ${CERT_COMMON_NAME} renewed successfully'}" timeout : 60 Runs when certificate operations fail: Copy Ask AI post-hooks : on-failure : command : | echo "Certificate operation failed for ${CERT_COMMON_NAME}: ${ERROR_MESSAGE}" # Send alert mail -s "Certificate Failure Alert" [email protected] < /dev/null # Log to syslog logger -p daemon.error "Certificate agent failure: ${ERROR_MESSAGE}" timeout : 30 Retrying mechanism The Infisical Agent will automatically attempt to retry any failed API requests including authentication, certificate issuance, and renewal operations. By default, the agent will retry up to 3 times with a base delay of 200ms and a maximum delay of 5s. You can configure the retrying mechanism through the agent configuration file: Copy Ask AI infisical : address : "https://app.infisical.com" retry-strategy : max-retries : 3 max-delay : "5s" base-delay : "200ms" # ... rest of the agent configuration file Example Agent Configuration Files Since there are several ways you might want to use the Infisical Agent to request certificates from Infisical, we provide a few example configuration files for common use cases below to help you get started. One-Time Certificate Issuance The code snippet below shows a configuration file that instructs the agent to request a certificate from Infisical once without performing any subsequent auto-renewal. Copy Ask AI version : v1 # Infisical server configuration infisical : address : "https://app.infisical.com" # The URL of the Infisical instance (e.g. https://app.infisical.com, https://eu.infisical.com, https://your-self-hosted-instance.com) retry-strategy : max-retries : 3 max-delay : "5s" base-delay : "200ms" # Infisical authentication configuration auth : type : "universal-auth" # The authentication method to use (e.g. universal-auth, kubernetes-auth, azure-auth, gcp-id-token, gcp-iam, aws-iam) config : client-id : "your-client-id" client-secret : "your-client-secret" # Certificate configuration certificates : - profile-name : "prof-web-server-12345" project-slug : "my-project-slug" attributes : common-name : "api.example.com" alt-names : - "api.example.com" - "api-v2.example.com" key-algorithm : "RSA_2048" signature-algorithm : "RSA-SHA256" key-usages : - "digital_signature" - "key_encipherment" extended-key-usages : - "server_auth" ttl : "30d" file-output : private-key : path : "/etc/ssl/private/api.example.com.key" permission : "0600" certificate : path : "/etc/ssl/certs/api.example.com.crt" permission : "0644" chain : path : "/etc/ssl/certs/api.example.com.chain.crt" permission : "0644" omit-root : true One-Time Certificate Issuance using a Pre-Generated CSR The code snippet below shows a configuration file that instructs the agent to request a certificate from Infisical once using a pre-generated CSR. Note that when csr-path is specified: The private-key is omitted from the configuration file because we assume that it is pre-generated and managed externally, with only the CSR being submitted to Infisical for signing. The agent will not be able to perform any auto-renewal operations, as it is assumed to not have access to the private key required to generate a new CSR. Copy Ask AI version : v1 # Infisical server configuration infisical : address : "https://app.infisical.com" # The URL of the Infisical instance (e.g. https://app.infisical.com, https://eu.infisical.com, https://your-self-hosted-instance.com) retry-strategy : max-retries : 3 max-delay : "5s" base-delay : "200ms" # Infisical authentication configuration auth : type : "universal-auth" # The authentication method to use (e.g. universal-auth, kubernetes-auth, azure-auth, gcp-id-token, gcp-iam, aws-iam) config : client-id : "your-client-id" client-secret : "your-client-secret" # Certificate configuration certificates : - profile-name : "prof-web-server-12345" project-slug : "my-project-slug" csr-path : "/etc/ssl/requests/api.csr" file-output : certificate : path : "/etc/ssl/certs/api.example.com.crt" permission : "0644" chain : path : "/etc/ssl/certs/api.example.com.chain.crt" permission : "0644" omit-root : true Certificate Issuance with Automatic Renewal The code snippet below shows a configuration file that instructs the agent to request a certificate from Infisical and continuously renew it 14 days before expiration, checking the certificate status every 6 hours. Copy Ask AI version : v1 # Infisical server configuration infisical : address : "https://app.infisical.com" # The URL of the Infisical instance (e.g. https://app.infisical.com, https://eu.infisical.com, https://your-self-hosted-instance.com) retry-strategy : max-retries : 3 max-delay : "5s" base-delay : "200ms" # Infisical authentication configuration auth : type : "universal-auth" # The authentication method to use (e.g. universal-auth, kubernetes-auth, azure-auth, gcp-id-token, gcp-iam, aws-iam) config : client-id : "your-client-id" client-secret : "your-client-secret" # Certificate configuration certificates : - profile-name : "prof-web-server-12345" project-slug : "my-project-slug" attributes : common-name : "api.example.com" alt-names : - "api.example.com" - "api-v2.example.com" key-algorithm : "RSA_2048" signature-algorithm : "RSA-SHA256" key-usages : - "digital_signature" - "key_encipherment" extended-key-usages : - "server_auth" ttl : "30d" lifecycle : renew-before-expiry : "14d" # Renew 14 days before expiration status-check-interval : "6h" # Check certificate status every 6 hours file-output : private-key : path : "/etc/ssl/private/api.example.com.key" permission : "0600" certificate : path : "/etc/ssl/certs/api.example.com.crt" permission : "0644" chain : path : "/etc/ssl/certs/api.example.com.chain.crt" permission : "0644" post-hooks : on-issuance : command : "systemctl reload nginx" timeout : 30 on-renewal : command : "systemctl reload nginx && logger 'Certificate renewed'" timeout : 30 Was this page helpful? Yes No Suggest edits Raise issue Alerting Kubernetes cert-manager ⌘ I Infisical home page x linkedin github slack PRODUCT Secret Management Secret Scanning Share Secrets Pricing Security Blog Infisical vs Vault Forum USE CASES Infisical Agent Kubernetes Dynamic Secrets Terraform Ansible Jenkins Docker AWS ECS GitLab GitHub SDK DEVELOPERS Changelog Status Feedback & Requests Trust of Center Open Source Friends How to contribute OTHERS Customers Company Handbook Careers Terms of Service Privacy Policy Subprocessors SLA Team Email Sales Support Powered by self.__next_f.push([1,"\"use strict\";\nconst {Fragment: _Fragment, jsx: _jsx, jsxs: _jsxs} = arguments[0];\nconst {useMDXComponents: _provideComponents} = arguments[0];\nfunction _createMdxContent(props) {\n const _components = {\n a: \"a\",\n code: \"code\",\n li: \"li\",\n ol: \"ol\",\n p: \"p\",\n pre: \"pre\",\n span: \"span\",\n strong: \"strong\",\n tbody: \"tbody\",\n td: \"td\",\n th: \"th\",\n thead: \"thead\",\n tr: \"tr\",\n ul: \"ul\",\n ..._provideComponents(),\n ...props.components\n }, {Accordion, AccordionGroup, CodeBlock, Heading, Step, Steps, Tab, Table, Tabs} = _components;\n if (!Accordion) _missingMdxReference(\"Accordion\", true);\n if (!AccordionGroup) _missingMdxReference(\"AccordionGroup\", true);\n if (!CodeBlock) _missingMdxReference(\"CodeBlock\", true);\n if (!Heading) _missingMdxReference(\"Heading\", true);\n if (!Step) _missingMdxReference(\"Step\", true);\n if (!Steps) _missingMdxReference(\"Steps\", true);\n if (!Tab) _missingMdxReference(\"Tab\", true);\n if (!Table) _missingMdxReference(\"Table\", true);\n if (!Tabs) _missingMdxReference(\"Tabs\", true);\n return _jsxs(_Fragment, {\n children: [_jsx(Heading, {\n level: \"2\",\n id: \"concept\",\n children: \"Concept\"\n }), \"\\n\", _jsxs(_components.p, {\n children: [\"The Infisical Agent is a client daemon that is packaged into the \", _jsx(_components.a, {\n href: \"/cli/overview\",\n children: \"Infisical CLI\"\n }), \".\\nIt can be used to request a certificate from Infisical using the \", _jsx(_components.a, {\n href: \"/documentation/platform/pki/enrollment-methods/api\",\n children: \"API enrollment method\"\n }), \" configured on a \", _jsx(_components.a, {\n href: \"/documentation/platform/pki/certificates/profiles\",\n children: \"certificate profile\"\n }), \", persist it to a specified path on the filesystem, and automatically monitor and renew it before expiration.\"]\n }), \"\\n\", _jsx(_components.p, {\n children: \"The Infisical Agent is notable:\"\n }), \"\\n\", _jsxs(_components.ul, {\n children: [\"\\n\", _jsx(_components.li, {\n children: \"Automating certificate management: The agent can request, persist, monitor, and renew certificates from Infisical automatically without manual intervention. It also supports post-event hooks to execute custom commands after certificate issuance, renewal, or failure events.\"\n }), \"\\n\", _jsxs(_components.li, {\n children: [\"Leveraging workload identity: The agent can authenticate with Infisical as a \", _jsx(_components.a, {\n href: \"/documentation/platform/identities/machine-identities\",\n children: \"machine identity\"\n }), \" using an infrastructure-native authentication method such as \", _jsx(_components.a, {\n href: \"/docs/documentation/platform/identities/aws-auth\",\n children: \"AWS Auth\"\n }), \", \", _jsx(_components.a, {\n href: \"/docs/documentation/platform/identities/azure-auth\",\n children: \"Azure Auth\"\n }), \", \", _jsx(_components.a, {\n href: \"/docs/documentation/platform/identities/gcp-auth\",\n children: \"GCP Auth\"\n }), \", \", _jsx(_components.a, {\n href: \"/docs/documentation/platform/identities/kubernetes-auth\",\n children: \"Kubernetes Auth\"\n }), \", etc.\"]\n }), \"\\n\"]\n }), \"\\n\", _jsxs(_components.p, {\n children: [\"The typical workflow for using the agent involves installing the Infisical CLI on the target machine, creating a configuration file defining the certificate to request and how it should be managed, and then starting the agent with that configuration so it can request, persist, monitor, and renew the certificate before it expires.\\nThis follows a \", _jsx(_components.a, {\n href: \"/documentation/platform/pki/certificates/certificates#client-driven-certificate-renewal\",\n children: \"client-driven approach\"\n }), \" to certificate renewal.\"]\n }), \"\\n\", _jsx(Heading, {\n level: \"2\",\n id: \"workflow\",\n children: \"Workflow\"\n }), \"\\n\", _jsx(_components.p, {\n children: \"A typical workflow for using the Infisical Agent to request certificates from Infisical consists of the following steps:\"\n }), \"\\n\", _jsxs(_components.ol, {\n children: [\"\\n\", _jsxs(_components.li, {\n children: [\"Create a \", _jsx(_components.a, {\n href: \"/documentation/platform/pki/certificates/profiles\",\n children: \"certificate profile\"\n }), \" in Infisical with the \", _jsx(_components.a, {\n href: \"/documentation/platform/pki/enrollment-methods/api\",\n children: \"API enrollment method\"\n }), \" configured on it.\"]\n }), \"\\n\", _jsxs(_components.li, {\n children: [\"Install the \", _jsx(_components.a, {\n href: \"/cli/overview\",\n children: \"Infisical CLI\"\n }), \" on the target machine.\"]\n }), \"\\n\", _jsxs(_components.li, {\n children: [\"Create an agent \", _jsx(_components.a, {\n href: \"/integrations/platforms/certificate-agent#agent-configuration\",\n children: \"configuration file\"\n }), \" containing details about the certificate to request and how it should be managed such as renewal thresholds, post-event hooks, etc.\"]\n }), \"\\n\", _jsx(_components.li, {\n children: \"Start the agent with that configuration so it can request, persist, monitor, and going forward automatically renew the certificate before it expires on the target machine.\"\n }), \"\\n\"]\n }), \"\\n\", _jsx(Heading, {\n level: \"2\",\n id: \"operating-the-agent\",\n children: \"Operating the Agent\"\n }), \"\\n\", _jsx(_components.p, {\n children: \"This section describes how to use the Infisical Agent to request certificates from Infisical. It covers how the agent authenticates with Infisical,\\nand how to configure it to start requesting certificates from Infisical.\"\n }), \"\\n\", _jsx(Heading, {\n level: \"3\",\n id: \"authentication\",\n children: \"Authentication\"\n }), \"\\n\", _jsxs(_components.p, {\n children: [\"The Infisical Agent can authenticate with Infisical as a \", _jsx(_components.a, {\n href: \"/documentation/platform/identities/machine-identities\",\n children: \"machine identity\"\n }), \" using one of its supported authentication methods.\"]\n }), \"\\n\", _jsxs(_components.p, {\n children: [\"Upon successful authentication, the agent receives a short-lived access token that it uses to make subsequent authenticated requests to obtain and renew certificates from Infisical;\\nthe agent automatically handles token renewal as documented \", _jsx(_components.a, {\n href: \"/integrations/platforms/infisical-agent#token-renewal\",\n children: \"here\"\n }), \".\"]\n }), \"\\n\", _jsxs(AccordionGroup, {\n children: [_jsxs(Accordion, {\n title: \"Universal Auth\",\n children: [_jsx(_components.p, {\n children: \"The Universal Auth method uses a client ID and secret for authentication.\"\n }), _jsxs(Steps, {\n children: [_jsx(Step, {\n title: \"Create a universal auth machine identity\",\n children: _jsxs(_components.p, {\n children: [\"To create a universal auth machine identity, follow the step by step guide outlined \", _jsx(_components.a, {\n href: \"/documentation/platform/identities/universal-auth\",\n children: \"here\"\n }), \".\"]\n })\n }), _jsxs(Step, {\n title: \"Configure the agent\",\n children: [_jsx(_components.p, {\n children: \"Update the agent configuration file with the auth method and credentials:\"\n }), _jsx(CodeBlock, {\n filename: \"\",\n numberOfLines: \"6\",\n language: \"yaml\",\n children: _jsx(_components.pre, {\n className: \"shiki shiki-themes dark-plus dark-plus\",\n style: {\n backgroundColor: \"#0B0C0E\",\n \"--shiki-dark-bg\": \"#0B0C0E\",\n color: 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children: [_jsx(_components.span, {\n style: {\n color: \"#569CD6\",\n \"--shiki-dark\": \"#569CD6\"\n },\n children: \" config\"\n }), _jsx(_components.span, {\n style: {\n color: \"#D4D4D4\",\n \"--shiki-dark\": \"#D4D4D4\"\n },\n children: \":\"\n })]\n }), \"\\n\", _jsxs(_components.span, {\n className: \"line\",\n children: [_jsx(_components.span, {\n style: {\n color: \"#569CD6\",\n \"--shiki-dark\": \"#569CD6\"\n },\n children: \" client-id\"\n }), _jsx(_components.span, {\n style: {\n color: \"#D4D4D4\",\n \"--shiki-dark\": \"#D4D4D4\"\n },\n children: \": \"\n }), _jsx(_components.span, {\n style: {\n color: \"#CE9178\",\n \"--shiki-dark\": \"#CE9178\"\n },\n children: \"\\\"./client-id\\\"\"\n }), _jsx(_components.span, {\n style: {\n color: \"#6A9955\",\n \"--shiki-dark\": \"#6A9955\"\n },\n children: \" # Path to file containing client ID\"\n })]\n }), \"\\n\", _jsxs(_components.span, {\n className: \"line\",\n children: [_jsx(_components.span, {\n style: {\n color: \"#569CD6\",\n \"--shiki-dark\": \"#569CD6\"\n },\n children: \" client-secret\"\n }), _jsx(_components.span, {\n style: {\n color: \"#D4D4D4\",\n \"--shiki-dark\": \"#D4D4D4\"\n },\n children: \": \"\n }), _jsx(_components.span, {\n style: {\n color: \"#CE9178\",\n \"--shiki-dark\": \"#CE9178\"\n },\n children: \"\\\"./client-secret\\\"\"\n }), _jsx(_components.span, {\n style: {\n color: \"#6A9955\",\n \"--shiki-dark\": \"#6A9955\"\n },\n children: \" # Path to file containing client secret\"\n })]\n }), \"\\n\", _jsxs(_components.span, {\n className: \"line\",\n children: [_jsx(_components.span, {\n style: {\n color: \"#569CD6\",\n \"--shiki-dark\": \"#569CD6\"\n },\n children: \" remove-client-secret-on-read\"\n }), _jsx(_components.span, {\n style: {\n color: \"#D4D4D4\",\n \"--shiki-dark\": \"#D4D4D4\"\n },\n children: \": \"\n }), _jsx(_components.span, {\n style: {\n color: \"#569CD6\",\n \"--shiki-dark\": \"#569CD6\"\n },\n children: \"false\"\n }), _jsx(_components.span, {\n 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https://ai.google.dev/api/generate-content?hl=tr#method:-models.streamgeneratecontent | Generating content | Gemini API | Google AI for Developers Ana içeriğe atla / English Deutsch Español – América Latina Français Indonesia Italiano Polski Português – Brasil Shqip Tiếng Việt Türkçe Русский עברית العربيّة فارسی हिंदी বাংলা ภาษาไทย 中文 – 简体 中文 – 繁體 日本語 한국어 API anahtarı alma Tarif Defteri Topluluk Oturum aç Dokümanlar API referansı Gemini API Dokümanlar API referansı API anahtarı alma Tarif Defteri Topluluk Genel bakış API sürümleri İşlemler Modeller İçerik oluşturuluyor Canlı API Live Music API Interactions API Simgeler Dosyalar Toplu API Önbelleğe alma Yerleştirmeler Dosya arama Dosya arama mağazaları Doküman Tüm yöntemler Kullanımdan kaldırıldı PaLM (artık kaldırıldı) SDK referansları Python Go TypeScript Java C# Ana Sayfa Gemini API API referansı Geri bildirim gönderin Generating content Gemini API; resim, ses, kod, araç ve daha fazlasını içeren içerik oluşturmayı destekler. Bu özelliklerin her biriyle ilgili ayrıntılar için okumaya devam edin ve göreve odaklanmış örnek kodu inceleyin veya kapsamlı kılavuzları okuyun. Metin oluşturma Görme Ses Yerleştirmeler Uzun bağlam Kod yürütme JSON Modu İşlev çağırma Sistem talimatları Yöntem: models.generateContent Uç nokta Yol parametreleri İstek metni JSON gösterimi Yanıt metni Yetkilendirme kapsamları Örnek istek Metin Resim Ses Video PDF Chat Önbellek Ayarlanmış Model (Tuned Model) JSON Modu Kod yürütme İşlev Çağırma Üretim yapılandırması Güvenlik Ayarları Sistem Talimatı (System Instruction) GenerateContentRequest girişiyle model yanıtı oluşturur. Ayrıntılı kullanım bilgileri için metin oluşturma kılavuzuna bakın. Ayarlanmış modeller de dahil olmak üzere modeller arasındaki giriş özellikleri farklıdır. Ayrıntılar için model kılavuzuna ve ayarlama kılavuzuna bakın. Uç nokta post https: / /generativelanguage.googleapis.com /v1beta /{model=models /*}:generateContent Yol parametreleri model string Zorunlu. Tamamlama oluşturmak için kullanılacak Model öğesinin adı. Biçim: models/{model} . models/{model} biçimindedir. İstek metni İstek içeriği aşağıdaki yapıyla birlikte verileri içerir: Alanlar contents[] object ( Content ) Zorunlu. Modelle yapılan mevcut görüşmenin içeriği. Tek dönüşlü sorgular için bu tek bir örnektir. Sohbet gibi çok turlu sorgular için bu, sohbet geçmişini ve son isteği içeren yinelenen bir alandır. tools[] object ( Tool ) İsteğe bağlı. Bir sonraki yanıtı oluşturmak için Tools Model kullanılabileceklerin listesi. Tool , sistemin Model 'nin bilgisi ve kapsamı dışında bir işlem veya işlemler dizisi gerçekleştirmek için harici sistemlerle etkileşime girmesini sağlayan bir kod parçasıdır. Desteklenen Tool 'ler Function ve codeExecution 'dir. Daha fazla bilgi için İşlev çağırma ve Kod yürütme kılavuzlarına bakın. toolConfig object ( ToolConfig ) İsteğe bağlı. İstekte belirtilen tüm Tool için araç yapılandırması. Kullanım örneği için İşlev çağırma kılavuzuna bakın. safetySettings[] object ( SafetySetting ) İsteğe bağlı. Güvenli olmayan içeriğin engellenmesi için benzersiz SafetySetting örneklerinin listesi. Bu kural GenerateContentRequest.contents ve GenerateContentResponse.candidates üzerinde zorunlu tutulacaktır. Her SafetyCategory türü için birden fazla ayar olmamalıdır. API, bu ayarlarda belirlenen eşikleri karşılamayan tüm içerikleri ve yanıtları engeller. Bu liste, safetySettings içinde belirtilen her SafetyCategory için varsayılan ayarları geçersiz kılar. Listede belirli bir SafetyCategory için SafetySetting yoksa API, bu kategori için varsayılan güvenlik ayarını kullanır. HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY zarar kategorileri desteklenir. Kullanılabilen güvenlik ayarları hakkında ayrıntılı bilgi için kılavuza bakın. Ayrıca, yapay zeka uygulamalarınıza güvenlik unsurlarını nasıl dahil edeceğinizi öğrenmek için Güvenlik rehberine de göz atın. systemInstruction object ( Content ) İsteğe bağlı. Geliştirici tarafından belirlenen sistem talimatları . Şu anda yalnızca metin desteklenmektedir. generationConfig object ( GenerationConfig ) İsteğe bağlı. Model oluşturma ve çıkışlarla ilgili yapılandırma seçenekleri. cachedContent string İsteğe bağlı. Tahmini sunmak için bağlam olarak kullanılacak önbelleğe alınan içeriğin adı. Biçim: cachedContents/{cachedContent} Örnek istek Metin Python from google import genai client = genai . Client () response = client . models . generate_content ( model = "gemini-2.0-flash" , contents = "Write a story about a magic backpack." ) print ( response . text ) text_generation . py Node.js // Make sure to include the following import: // import {GoogleGenAI} from '@google/genai'; const ai = new GoogleGenAI ({ apiKey : process . env . GEMINI_API_KEY }); const response = await ai . models . generateContent ({ model : "gemini-2.0-flash" , contents : "Write a story about a magic backpack." , }); console . log ( response . text ); text_generation . js Go ctx := context . Background () client , err := genai . NewClient ( ctx , & genai . ClientConfig { APIKey : os . Getenv ( "GEMINI_API_KEY" ), Backend : genai . BackendGeminiAPI , }) if err != nil { log . Fatal ( err ) } contents := [] * genai . Content { genai . NewContentFromText ( "Write a story about a magic backpack." , genai . RoleUser ), } response , err := client . Models . GenerateContent ( ctx , "gemini-2.0-flash" , contents , nil ) if err != nil { log . Fatal ( err ) } printResponse ( response ) text_generation . go kabuk curl "https://generativelanguage.googleapis.com/v1beta/models/gemini-2.0-flash:generateContent?key= $GEMINI_API_KEY " \ -H 'Content-Type: application/json' \ -X POST \ -d '{ "contents": [{ "parts":[{"text": "Write a story about a magic backpack."}] }] }' 2 > /dev/null text_generation.sh Java Client client = new Client (); GenerateContentResponse response = client . models . generateContent ( "gemini-2.0-flash" , "Write a story about a magic backpack." , null ); System . out . println ( response . text ()); TextGeneration . java Resim Python from google import genai import PIL.Image client = genai . Client () organ = PIL . Image . open ( media / "organ.jpg" ) response = client . models . generate_content ( model = "gemini-2.0-flash" , contents = [ "Tell me about this instrument" , organ ] ) print ( response . text ) text_generation . py Node.js // Make sure to include the following import: // import {GoogleGenAI} from '@google/genai'; const ai = new GoogleGenAI ({ apiKey : process . env . GEMINI_API_KEY }); const organ = await ai . files . upload ({ file : path . join ( media , "organ.jpg" ), }); const response = await ai . models . generateContent ({ model : "gemini-2.0-flash" , contents : [ createUserContent ([ "Tell me about this instrument" , createPartFromUri ( organ . uri , organ . mimeType ) ]), ], }); console . log ( response . text ); text_generation . js Go ctx := context . Background () client , err := genai . NewClient ( ctx , & genai . ClientConfig { APIKey : os . Getenv ( "GEMINI_API_KEY" ), Backend : genai . BackendGeminiAPI , }) if err != nil { log . Fatal ( err ) } file , err := client . Files . UploadFromPath ( ctx , filepath . Join ( getMedia (), "organ.jpg" ), & genai . UploadFileConfig { MIMEType : "image/jpeg" , }, ) if err != nil { log . Fatal ( err ) } parts := [] * genai . Part { genai . NewPartFromText ( "Tell me about this instrument" ), genai . NewPartFromURI ( file . URI , file . MIMEType ), } contents := [] * genai . Content { genai . NewContentFromParts ( parts , genai . RoleUser ), } response , err := client . Models . GenerateContent ( ctx , "gemini-2.0-flash" , contents , nil ) if err != nil { log . Fatal ( err ) } printResponse ( response ) text_generation . go kabuk # Use a temporary file to hold the base64 encoded image data TEMP_B64 = $( mktemp ) trap 'rm -f "$TEMP_B64"' EXIT base64 $B64FLAGS $IMG_PATH > " $TEMP_B64 " # Use a temporary file to hold the JSON payload TEMP_JSON = $( mktemp ) trap 'rm -f "$TEMP_JSON"' EXIT cat > " $TEMP_JSON " << EOF { "contents" : [{ "parts" : [ { "text" : "Tell me about this instrument" } , { "inline_data" : { "mime_type" : "image/jpeg" , "data" : " $( cat " $TEMP_B64 " ) " } } ] }] } EOF curl "https://generativelanguage.googleapis.com/v1beta/models/gemini-2.0-flash:generateContent?key= $GEMINI_API_KEY " \ -H 'Content-Type: application/json' \ -X POST \ -d "@ $TEMP_JSON " 2 > /dev/null text_generation.sh Java Client client = new Client (); String path = media_path + "organ.jpg" ; byte [] imageData = Files . readAllBytes ( Paths . get ( path )); Content content = Content . fromParts ( Part . fromText ( "Tell me about this instrument." ), Part . fromBytes ( imageData , "image/jpeg" )); GenerateContentResponse response = client . models . generateContent ( "gemini-2.0-flash" , content , null ); System . out . println ( response . text ()); TextGeneration . java Ses Python from google import genai client = genai . Client () sample_audio = client . files . upload ( file = media / "sample.mp3" ) response = client . models . generate_content ( model = "gemini-2.0-flash" , contents = [ "Give me a summary of this audio file." , sample_audio ], ) print ( response . text ) text_generation . py Node.js // Make sure to include the following import: // import {GoogleGenAI} from '@google/genai'; const ai = new GoogleGenAI ({ apiKey : process . env . GEMINI_API_KEY }); const audio = await ai . files . upload ({ file : path . join ( media , "sample.mp3" ), }); const response = await ai . models . generateContent ({ model : "gemini-2.0-flash" , contents : [ createUserContent ([ "Give me a summary of this audio file." , createPartFromUri ( audio . uri , audio . mimeType ), ]), ], }); console . log ( response . text ); text_generation . js Go ctx := context . Background () client , err := genai . NewClient ( ctx , & genai . ClientConfig { APIKey : os . Getenv ( "GEMINI_API_KEY" ), Backend : genai . BackendGeminiAPI , }) if err != nil { log . Fatal ( err ) } file , err := client . Files . UploadFromPath ( ctx , filepath . Join ( getMedia (), "sample.mp3" ), & genai . UploadFileConfig { MIMEType : "audio/mpeg" , }, ) if err != nil { log . Fatal ( err ) } parts := [] * genai . Part { genai . NewPartFromText ( "Give me a summary of this audio file." ), genai . NewPartFromURI ( file . URI , file . MIMEType ), } contents := [] * genai . Content { genai . NewContentFromParts ( parts , genai . RoleUser ), } response , err := client . Models . GenerateContent ( ctx , "gemini-2.0-flash" , contents , nil ) if err != nil { log . Fatal ( err ) } printResponse ( response ) text_generation . go kabuk # Use File API to upload audio data to API request. MIME_TYPE = $( file -b --mime-type " ${ AUDIO_PATH } " ) NUM_BYTES = $( wc -c < " ${ AUDIO_PATH } " ) DISPLAY_NAME = AUDIO tmp_header_file = upload-header.tmp # Initial resumable request defining metadata. # The upload url is in the response headers dump them to a file. curl " ${ BASE_URL } /upload/v1beta/files?key= ${ GEMINI_API_KEY } " \ -D upload-header.tmp \ -H "X-Goog-Upload-Protocol: resumable" \ -H "X-Goog-Upload-Command: start" \ -H "X-Goog-Upload-Header-Content-Length: ${ NUM_BYTES } " \ -H "X-Goog-Upload-Header-Content-Type: ${ MIME_TYPE } " \ -H "Content-Type: application/json" \ -d "{'file': {'display_name': ' ${ DISPLAY_NAME } '}}" 2 > /dev/null upload_url = $( grep -i "x-goog-upload-url: " " ${ tmp_header_file } " | cut -d " " -f2 | tr -d "\r" ) rm " ${ tmp_header_file } " # Upload the actual bytes. curl " ${ upload_url } " \ -H "Content-Length: ${ NUM_BYTES } " \ -H "X-Goog-Upload-Offset: 0" \ -H "X-Goog-Upload-Command: upload, finalize" \ --data-binary "@ ${ AUDIO_PATH } " 2 > /dev/null > file_info.json file_uri = $( jq ".file.uri" file_info.json ) echo file_uri = $file_uri curl "https://generativelanguage.googleapis.com/v1beta/models/gemini-2.0-flash:generateContent?key= $GEMINI_API_KEY " \ -H 'Content-Type: application/json' \ -X POST \ -d '{ "contents": [{ "parts":[ {"text": "Please describe this file."}, {"file_data":{"mime_type": "audio/mpeg", "file_uri": ' $file_uri '}}] }] }' 2 > /dev/null > response.json cat response.json echo jq ".candidates[].content.parts[].text" response.json text_generation.sh Video Python from google import genai import time client = genai . Client () # Video clip (CC BY 3.0) from https://peach.blender.org/download/ myfile = client . files . upload ( file = media / "Big_Buck_Bunny.mp4" ) print ( f " { myfile =} " ) # Poll until the video file is completely processed (state becomes ACTIVE). while not myfile . state or myfile . state . name != "ACTIVE" : print ( "Processing video..." ) print ( "File state:" , myfile . state ) time . sleep ( 5 ) myfile = client . files . get ( name = myfile . name ) response = client . models . generate_content ( model = "gemini-2.0-flash" , contents = [ myfile , "Describe this video clip" ] ) print ( f " { response . text =} " ) text_generation . py Node.js // Make sure to include the following import: // import {GoogleGenAI} from '@google/genai'; const ai = new GoogleGenAI ({ apiKey : process . env . GEMINI_API_KEY }); let video = await ai . files . upload ({ file : path . join ( media , 'Big_Buck_Bunny.mp4' ), }); // Poll until the video file is completely processed (state becomes ACTIVE). while ( ! video . state || video . state . toString () !== 'ACTIVE' ) { console . log ( 'Processing video...' ); console . log ( 'File state: ' , video . state ); await sleep ( 5000 ); video = await ai . files . get ({ name : video . name }); } const response = await ai . models . generateContent ({ model : "gemini-2.0-flash" , contents : [ createUserContent ([ "Describe this video clip" , createPartFromUri ( video . uri , video . mimeType ), ]), ], }); console . log ( response . text ); text_generation . js Go ctx := context . Background () client , err := genai . NewClient ( ctx , & genai . ClientConfig { APIKey : os . Getenv ( "GEMINI_API_KEY" ), Backend : genai . BackendGeminiAPI , }) if err != nil { log . Fatal ( err ) } file , err := client . Files . UploadFromPath ( ctx , filepath . Join ( getMedia (), "Big_Buck_Bunny.mp4" ), & genai . UploadFileConfig { MIMEType : "video/mp4" , }, ) if err != nil { log . Fatal ( err ) } // Poll until the video file is completely processed (state becomes ACTIVE). for file . State == genai . FileStateUnspecified || file . State != genai . FileStateActive { fmt . Println ( "Processing video..." ) fmt . Println ( "File state:" , file . State ) time . Sleep ( 5 * time . Second ) file , err = client . Files . Get ( ctx , file . Name , nil ) if err != nil { log . Fatal ( err ) } } parts := [] * genai . Part { genai . NewPartFromText ( "Describe this video clip" ), genai . NewPartFromURI ( file . URI , file . MIMEType ), } contents := [] * genai . Content { genai . NewContentFromParts ( parts , genai . RoleUser ), } response , err := client . Models . GenerateContent ( ctx , "gemini-2.0-flash" , contents , nil ) if err != nil { log . Fatal ( err ) } printResponse ( response ) text_generation . go kabuk # Use File API to upload audio data to API request. MIME_TYPE = $( file -b --mime-type " ${ VIDEO_PATH } " ) NUM_BYTES = $( wc -c < " ${ VIDEO_PATH } " ) DISPLAY_NAME = VIDEO # Initial resumable request defining metadata. # The upload url is in the response headers dump them to a file. curl " ${ BASE_URL } /upload/v1beta/files?key= ${ GEMINI_API_KEY } " \ -D " ${ tmp_header_file } " \ -H "X-Goog-Upload-Protocol: resumable" \ -H "X-Goog-Upload-Command: start" \ -H "X-Goog-Upload-Header-Content-Length: ${ NUM_BYTES } " \ -H "X-Goog-Upload-Header-Content-Type: ${ MIME_TYPE } " \ -H "Content-Type: application/json" \ -d "{'file': {'display_name': ' ${ DISPLAY_NAME } '}}" 2 > /dev/null upload_url = $( grep -i "x-goog-upload-url: " " ${ tmp_header_file } " | cut -d " " -f2 | tr -d "\r" ) rm " ${ tmp_header_file } " # Upload the actual bytes. curl " ${ upload_url } " \ -H "Content-Length: ${ NUM_BYTES } " \ -H "X-Goog-Upload-Offset: 0" \ -H "X-Goog-Upload-Command: upload, finalize" \ --data-binary "@ ${ VIDEO_PATH } " 2 > /dev/null > file_info.json file_uri = $( jq ".file.uri" file_info.json ) echo file_uri = $file_uri state = $( jq ".file.state" file_info.json ) echo state = $state name = $( jq ".file.name" file_info.json ) echo name = $name while [[ "( $state )" = * "PROCESSING" * ]] ; do echo "Processing video..." sleep 5 # Get the file of interest to check state curl https://generativelanguage.googleapis.com/v1beta/files/ $name > file_info.json state = $( jq ".file.state" file_info.json ) done curl "https://generativelanguage.googleapis.com/v1beta/models/gemini-2.0-flash:generateContent?key= $GEMINI_API_KEY " \ -H 'Content-Type: application/json' \ -X POST \ -d '{ "contents": [{ "parts":[ {"text": "Transcribe the audio from this video, giving timestamps for salient events in the video. Also provide visual descriptions."}, {"file_data":{"mime_type": "video/mp4", "file_uri": ' $file_uri '}}] }] }' 2 > /dev/null > response.json cat response.json echo jq ".candidates[].content.parts[].text" response.json text_generation.sh PDF Python from google import genai client = genai . Client () sample_pdf = client . files . upload ( file = media / "test.pdf" ) response = client . models . generate_content ( model = "gemini-2.0-flash" , contents = [ "Give me a summary of this document:" , sample_pdf ], ) print ( f " { response . text =} " ) text_generation . py Go ctx := context . Background () client , err := genai . NewClient ( ctx , & genai . ClientConfig { APIKey : os . Getenv ( "GEMINI_API_KEY" ), Backend : genai . BackendGeminiAPI , }) if err != nil { log . Fatal ( err ) } file , err := client . Files . UploadFromPath ( ctx , filepath . Join ( getMedia (), "test.pdf" ), & genai . UploadFileConfig { MIMEType : "application/pdf" , }, ) if err != nil { log . Fatal ( err ) } parts := [] * genai . Part { genai . NewPartFromText ( "Give me a summary of this document:" ), genai . NewPartFromURI ( file . URI , file . MIMEType ), } contents := [] * genai . Content { genai . NewContentFromParts ( parts , genai . RoleUser ), } response , err := client . Models . GenerateContent ( ctx , "gemini-2.0-flash" , contents , nil ) if err != nil { log . Fatal ( err ) } printResponse ( response ) text_generation . go kabuk MIME_TYPE = $( file -b --mime-type " ${ PDF_PATH } " ) NUM_BYTES = $( wc -c < " ${ PDF_PATH } " ) DISPLAY_NAME = TEXT echo $MIME_TYPE tmp_header_file = upload-header.tmp # Initial resumable request defining metadata. # The upload url is in the response headers dump them to a file. curl " ${ BASE_URL } /upload/v1beta/files?key= ${ GEMINI_API_KEY } " \ -D upload-header.tmp \ -H "X-Goog-Upload-Protocol: resumable" \ -H "X-Goog-Upload-Command: start" \ -H "X-Goog-Upload-Header-Content-Length: ${ NUM_BYTES } " \ -H "X-Goog-Upload-Header-Content-Type: ${ MIME_TYPE } " \ -H "Content-Type: application/json" \ -d "{'file': {'display_name': ' ${ DISPLAY_NAME } '}}" 2 > /dev/null upload_url = $( grep -i "x-goog-upload-url: " " ${ tmp_header_file } " | cut -d " " -f2 | tr -d "\r" ) rm " ${ tmp_header_file } " # Upload the actual bytes. curl " ${ upload_url } " \ -H "Content-Length: ${ NUM_BYTES } " \ -H "X-Goog-Upload-Offset: 0" \ -H "X-Goog-Upload-Command: upload, finalize" \ --data-binary "@ ${ PDF_PATH } " 2 > /dev/null > file_info.json file_uri = $( jq ".file.uri" file_info.json ) echo file_uri = $file_uri # Now generate content using that file curl "https://generativelanguage.googleapis.com/v1beta/models/gemini-2.0-flash:generateContent?key= $GEMINI_API_KEY " \ -H 'Content-Type: application/json' \ -X POST \ -d '{ "contents": [{ "parts":[ {"text": "Can you add a few more lines to this poem?"}, {"file_data":{"mime_type": "application/pdf", "file_uri": ' $file_uri '}}] }] }' 2 > /dev/null > response.json cat response.json echo jq ".candidates[].content.parts[].text" response.json text_generation.sh Sohbet Python from google import genai from google.genai import types client = genai . Client () # Pass initial history using the "history" argument chat = client . chats . create ( model = "gemini-2.0-flash" , history = [ types . Content ( role = "user" , parts = [ types . Part ( text = "Hello" )]), types . Content ( role = "model" , parts = [ types . Part ( text = "Great to meet you. What would you like to know?" ) ], ), ], ) response = chat . send_message ( message = "I have 2 dogs in my house." ) print ( response . text ) response = chat . send_message ( message = "How many paws are in my house?" ) print ( response . text ) chat . py Node.js // Make sure to include the following import: // import {GoogleGenAI} from '@google/genai'; const ai = new GoogleGenAI ({ apiKey : process . env . GEMINI_API_KEY }); const chat = ai . chats . create ({ model : "gemini-2.0-flash" , history : [ { role : "user" , parts : [{ text : "Hello" }], }, { role : "model" , parts : [{ text : "Great to meet you. What would you like to know?" }], }, ], }); const response1 = await chat . sendMessage ({ message : "I have 2 dogs in my house." , }); console . log ( "Chat response 1:" , response1 . text ); const response2 = await chat . sendMessage ({ message : "How many paws are in my house?" , }); console . log ( "Chat response 2:" , response2 . text ); chat . js Go ctx := context . Background () client , err := genai . NewClient ( ctx , & genai . ClientConfig { APIKey : os . Getenv ( "GEMINI_API_KEY" ), Backend : genai . BackendGeminiAPI , }) if err != nil { log . Fatal ( err ) } // Pass initial history using the History field. history := [] * genai . Content { genai . NewContentFromText ( "Hello" , genai . RoleUser ), genai . NewContentFromText ( "Great to meet you. What would you like to know?" , genai . RoleModel ), } chat , err := client . Chats . Create ( ctx , "gemini-2.0-flash" , nil , history ) if err != nil { log . Fatal ( err ) } firstResp , err := chat . SendMessage ( ctx , genai . Part { Text : "I have 2 dogs in my house." }) if err != nil { log . Fatal ( err ) } fmt . Println ( firstResp . Text ()) secondResp , err := chat . SendMessage ( ctx , genai . Part { Text : "How many paws are in my house?" }) if err != nil { log . Fatal ( err ) } fmt . Println ( secondResp . Text ()) chat . go kabuk curl https://generativelanguage.googleapis.com/v1beta/models/gemini-2.0-flash:generateContent?key = $GEMINI_API_KEY \ -H 'Content-Type: application/json' \ -X POST \ -d '{ "contents": [ {"role":"user", "parts":[{ "text": "Hello"}]}, {"role": "model", "parts":[{ "text": "Great to meet you. What would you like to know?"}]}, {"role":"user", "parts":[{ "text": "I have two dogs in my house. How many paws are in my house?"}]}, ] }' 2 > /dev/null | grep "text" chat.sh Java Client client = new Client (); Content userContent = Content . fromParts ( Part . fromText ( "Hello" )); Content modelContent = Content . builder () . role ( "model" ) . parts ( Collections . singletonList ( Part . fromText ( "Great to meet you. What would you like to know?" ) ) ). build (); Chat chat = client . chats . create ( "gemini-2.0-flash" , GenerateContentConfig . builder () . systemInstruction ( userContent ) . systemInstruction ( modelContent ) . build () ); GenerateContentResponse response1 = chat . sendMessage ( "I have 2 dogs in my house." ); System . out . println ( response1 . text ()); GenerateContentResponse response2 = chat . sendMessage ( "How many paws are in my house?" ); System . out . println ( response2 . text ()); ChatSession . java Önbellek Python from google import genai from google.genai import types client = genai . Client () document = client . files . upload ( file = media / "a11.txt" ) model_name = "gemini-1.5-flash-001" cache = client . caches . create ( model = model_name , config = types . CreateCachedContentConfig ( contents = [ document ], system_instruction = "You are an expert analyzing transcripts." , ), ) print ( cache ) response = client . models . generate_content ( model = model_name , contents = "Please summarize this transcript" , config = types . GenerateContentConfig ( cached_content = cache . name ), ) print ( response . text ) cache . py Node.js // Make sure to include the following import: // import {GoogleGenAI} from '@google/genai'; const ai = new GoogleGenAI ({ apiKey : process . env . GEMINI_API_KEY }); const filePath = path . join ( media , "a11.txt" ); const document = await ai . files . upload ({ file : filePath , config : { mimeType : "text/plain" }, }); console . log ( "Uploaded file name:" , document . name ); const modelName = "gemini-1.5-flash-001" ; const contents = [ createUserContent ( createPartFromUri ( document . uri , document . mimeType )), ]; const cache = await ai . caches . create ({ model : modelName , config : { contents : contents , systemInstruction : "You are an expert analyzing transcripts." , }, }); console . log ( "Cache created:" , cache ); const response = await ai . models . generateContent ({ model : modelName , contents : "Please summarize this transcript" , config : { cachedContent : cache . name }, }); console . log ( "Response text:" , response . text ); cache . js Go ctx := context . Background () client , err := genai . NewClient ( ctx , & genai . ClientConfig { APIKey : os . Getenv ( "GEMINI_API_KEY" ), Backend : genai . BackendGeminiAPI , }) if err != nil { log . Fatal ( err ) } modelName := "gemini-1.5-flash-001" document , err := client . Files . UploadFromPath ( ctx , filepath . Join ( getMedia (), "a11.txt" ), & genai . UploadFileConfig { MIMEType : "text/plain" , }, ) if err != nil { log . Fatal ( err ) } parts := [] * genai . Part { genai . NewPartFromURI ( document . URI , document . MIMEType ), } contents := [] * genai . Content { genai . NewContentFromParts ( parts , genai . RoleUser ), } cache , err := client . Caches . Create ( ctx , modelName , & genai . CreateCachedContentConfig { Contents : contents , SystemInstruction : genai . NewContentFromText ( "You are an expert analyzing transcripts." , genai . RoleUser , ), }) if err != nil { log . Fatal ( err ) } fmt . Println ( "Cache created:" ) fmt . Println ( cache ) // Use the cache for generating content. response , err := client . Models . GenerateContent ( ctx , modelName , genai . Text ( "Please summarize this transcript" ), & genai . GenerateContentConfig { CachedContent : cache . Name , }, ) if err != nil { log . Fatal ( err ) } printResponse ( response ) cache . go Tuned Model Python # With Gemini 2 we're launching a new SDK. See the following doc for details. # https://ai.google.dev/gemini-api/docs/migrate README.md JSON Modu Python from google import genai from google.genai import types from typing_extensions import TypedDict class Recipe ( TypedDict ): recipe_name : str ingredients : list [ str ] client = genai . Client () result = client . models . generate_content ( model = "gemini-2.0-flash" , contents = "List a few popular cookie recipes." , config = types . GenerateContentConfig ( response_mime_type = "application/json" , response_schema = list [ Recipe ] ), ) print ( result ) controlled_generation . py Node.js // Make sure to include the following import: // import {GoogleGenAI} from '@google/genai'; const ai = new GoogleGenAI ({ apiKey : process . env . GEMINI_API_KEY }); const response = await ai . models . generateContent ({ model : "gemini-2.0-flash" , contents : "List a few popular cookie recipes." , config : { responseMimeType : "application/json" , responseSchema : { type : "array" , items : { type : "object" , properties : { recipeName : { type : "string" }, ingredients : { type : "array" , items : { type : "string" } }, }, required : [ "recipeName" , "ingredients" ], }, }, }, }); console . log ( response . text ); controlled_generation . js Go ctx := context . Background () client , err := genai . NewClient ( ctx , & genai . ClientConfig { APIKey : os . Getenv ( "GEMINI_API_KEY" ), Backend : genai . BackendGeminiAPI , }) if err != nil { log . Fatal ( err ) } schema := & genai . Schema { Type : genai . TypeArray , Items : & genai . Schema { Type : genai . TypeObject , Properties : map [ string ] * genai . Schema { "recipe_name" : { Type : genai . TypeString }, "ingredients" : { Type : genai . TypeArray , Items : & genai . Schema { Type : genai . TypeString }, }, }, Required : [] string { "recipe_name" }, }, } config := & genai . GenerateContentConfig { ResponseMIMEType : "application/json" , ResponseSchema : schema , } response , err := client . Models . GenerateContent ( ctx , "gemini-2.0-flash" , genai . Text ( "List a few popular cookie recipes." ), config , ) if err != nil { log . Fatal ( err ) } printResponse ( response ) controlled_generation . go kabuk curl "https://generativelanguage.googleapis.com/v1beta/models/gemini-2.0-flash:generateContent?key= $GEMINI_API_KEY " \ -H 'Content-Type: application/json' \ -d '{ "contents": [{ "parts":[ {"text": "List 5 popular cookie recipes"} ] }], "generationConfig": { "response_mime_type": "application/json", "response_schema": { "type": "ARRAY", "items": { "type": "OBJECT", "properties": { "recipe_name": {"type":"STRING"}, } } } } }' 2 > /dev/null | head controlled_generation.sh Java Client client = new Client (); Schema recipeSchema = Schema . builder () . type ( Array . class . getSimpleName ()) . items ( Schema . builder () . type ( Object . class . getSimpleName ()) . properties ( Map . of ( "recipe_name" , Schema . builder () . type ( String . class . getSimpleName ()) . build (), "ingredients" , Schema . builder () . type ( Array . class . getSimpleName ()) . items ( Schema . builder () . type ( String . class . getSimpleName ()) . build ()) . build ()) ) . required ( List . of ( "recipe_name" , "ingredients" )) . build ()) . build (); GenerateContentConfig config = GenerateContentConfig . builder () . responseMimeType ( "application/json" ) . responseSchema ( recipeSchema ) . build (); GenerateContentResponse response = client . models . generateContent ( "gemini-2.0-flash" , "List a few popular cookie recipes." , config ); System . out . println ( response . text ()); ControlledGeneration . java Kod yürütme Python from google import genai from google.genai import types client = genai . Client () response = client . models . generate_content ( model = "gemini-2.0-pro-exp-02-05" , contents = ( "Write and execute code that calculates the sum of the first 50 prime numbers. " "Ensure that only the executable code and its resulting output are generated." ), ) # Each part may contain text, executable code, or an execution result. for part in response . candidates [ 0 ] . content . parts : print ( part , " \n " ) print ( "-" * 80 ) # The .text accessor concatenates the parts into a markdown-formatted text. print ( " \n " , response . text ) code_execution . py Go ctx := context . Background () client , err := genai . NewClient ( ctx , & genai . ClientConfig { APIKey : os . Getenv ( "GEMINI_API_KEY" ), Backend : genai . BackendGeminiAPI , }) if err != nil { log . Fatal ( err ) } response , err := client . Models . GenerateContent ( ctx , "gemini-2.0-pro-exp-02-05" , genai . Text ( `Write and execute code that calculates the sum of the first 50 prime numbers. Ensure that only the executable code and its resulting output are generated.` , ), & genai . GenerateContentConfig {}, ) if err != nil { log . Fatal ( err ) } // Print the response. printResponse ( response ) fmt . Println ( "--------------------------------------------------------------------------------" ) fmt . Println ( response . Text ()) code_execution . go Java Client client = new Client (); String prompt = """ Write and execute code that calculates the sum of the first 50 prime numbers. Ensure that only the executable code and its resulting output are generated. """ ; GenerateContentResponse response = client . models . generateContent ( "gemini-2.0-pro-exp-02-05" , prompt , null ); for ( Part part : response . candidates (). get (). getFirst (). content (). get (). parts (). get ()) { System . out . println ( part + "\n" ); } System . out . println ( "-" . repeat ( 80 )); System . out . println ( response . text ()); CodeExecution . java İşlev Çağırma Python from google import genai from google.genai import types client = genai . Client () def add ( a : float , b : float ) - > float : """returns a + b.""" return a + b def subtract ( a : float , b : float ) - > float : """returns a - b.""" return a - b def multiply ( a : float , b : float ) - > float : """returns a * b.""" return a * b def divide ( a : float , b : float ) - > float : """returns a / b.""" return a / b # Create a chat session; function calling (via tools) is enabled in the config. chat = client . chats . create ( model = "gemini-2.0-flash" , config = types . GenerateContentConfig ( tools = [ add , subtract , multiply , divide ]), ) response = chat . send_message ( message = "I have 57 cats, each owns 44 mittens, how many mittens is that in total?" ) print ( response . text ) function_calling . py Go ctx := context . Background () client , err := genai . NewClient ( ctx , & genai . ClientConfig { APIKey : os . Getenv ( "GEMINI_API_KEY" ), Backend : genai . BackendGeminiAPI , }) if err != nil { log . Fatal ( err ) } modelName := "gemini-2.0-flash" // Create the function declarations for arithmetic operations. addDeclaration := createArithmeticToolDeclaration ( "addNumbers" , "Return the result of adding two numbers." ) subtractDeclaration := createArithmeticToolDeclaration ( "subtractNumbers" , "Return the result of subtracting the second number from the first." ) multiplyDeclaration := createArithmeticToolDeclaration ( "multiplyNumbers" , "Return the product of two numbers." ) divideDeclaration := createArithmeticToolDeclaration ( "divideNumbers" , "Return the quotient of dividing the first number by the second." ) // Group the function declarations as a tool. tools := [] * genai . Tool { { FunctionDeclarations : [] * genai . FunctionDeclaration { addDeclaration , subtractDeclaration , multiplyDeclaration , divideDeclaration , }, }, } // Create the content prompt. contents := [] * genai . Content { genai . NewContentFromText ( "I have 57 cats, each owns 44 mittens, how many mittens is that in total?" , genai . RoleUser , ), } // Set up the generate content configuration with function calling enabled. config := & genai . GenerateContentConfig { Tools : tools , ToolConfig : & genai . ToolConfig { FunctionCallingConfig : & genai . FunctionCallingConfig { // The mode equivalent to FunctionCallingConfigMode.ANY in JS. Mode : genai . FunctionCallingConfigModeAny , }, }, } genContentResp , err := client . Models . GenerateContent ( ctx , modelName , contents , config ) if err != nil { log . Fatal ( err ) } // Assume the response includes a list of function calls. if len ( genContentResp . FunctionCalls ()) == 0 { log . Println ( "No function call returned from the AI." ) return nil } functionCall := genContentResp . FunctionCalls ()[ 0 ] log . Printf ( "Function call: %+v\n" , functionCall ) // Marshal the Args map into JSON bytes. argsMap , err := json . Marshal ( functionCall . Args ) if err != nil { log . Fatal ( err ) } // Unmarshal the JSON bytes into the ArithmeticArgs struct. var args ArithmeticArgs if err := json . Unmarshal ( argsMap , & args ); err != nil { log . Fatal ( err ) } // Map the function name to the actual arithmetic function. var result float64 switch functionCall . Name { case "addNumbers" : result = add ( args . FirstParam , args . SecondParam ) case "subtractNumbers" : result = subtract ( args . FirstParam , args . SecondParam ) case "multiplyNumbers" : result = multiply ( args . FirstParam , args . SecondParam ) case "divideNumbers" : result = divide ( args . FirstParam , args . SecondParam ) default : return fmt . Errorf ( "unimplemented function: %s" , functionCall . Name ) } log . Printf ( "Function result: %v\n" , result ) // Prepare the final result message as content. resultContents := [] * genai . Content { genai . NewContentFromText ( "The final result is " + fmt . Sprintf ( "%v" , result ), genai . RoleUser ), } // Use GenerateContent to send the final result. finalResponse , err := client . Models . GenerateContent ( ctx , modelName , resultContents , & genai . GenerateContentConfig {}) if err != nil { log . Fatal ( err ) } printResponse ( finalResponse ) function_calling . go Node.js // Make sure to include the following import: // import {GoogleGenAI} from '@google/genai'; const ai = new GoogleGenAI ({ apiKey : process . env . GEMINI_API_KEY }); /** * The add function returns the sum of two numbers. * @param {number} a * @param {number} b * @returns {number} */ function add ( a , b ) { return a + b ; } /** * The subtract function returns the difference (a - b). * @param {number} a * @param {number} b * @returns {number} */ function subtract ( a , b ) { return a - b ; } /** * The multiply function returns the product of two numbers. * @param {number} a * @param {number} b * @returns {number} */ function multiply ( a , b ) { return a * b ; } /** * The divide function returns the quotient of a divided by b. * @param {number} a * @param {number} b * @returns {number} */ function divide ( a , b ) { return a / b ; } const addDeclaration = { name : "addNumbers" , parameters : { type : "object" , description : "Return the result of adding two numbers." , properties : { firstParam : { type : "number" , description : "The first parameter which can be an integer or a floating point number." , }, secondParam : { type : "number" , description : "The second parameter which can be an integer or a floating point number." , }, }, required : [ "firstParam" , "secondParam" ], }, }; const subtractDeclaration = { name : "subtractNumbers" , parameters : { type : "object" , description : "Return the result of subtracting the second number from the first." , properties : { firstParam : { type : "number" , description : "The first parameter." , }, secondParam : { type : "number" , description : "The second parameter." , }, }, required : [ "firstParam" , "secondParam" ], }, }; const multiplyDeclaration = { name : "multiplyNumbers" , parameters : { type : "object" , description : "Return the product of two numbers." , properties : { firstParam : { type : "number" , description : "The first parameter." , }, secondParam : { type : "number" , description : "The second parameter." , }, }, required : [ "firstParam" , "secondParam" ], }, }; const divideDeclaration = { name : "divideNumbers" , parameters : { type : "object" , description : "Return the quotient of dividing the first number by the second." , properties : { firstParam : { type : "number" , description : "The first parameter." , }, secondParam : { type : "number" , description : "The second parameter." , }, }, required : [ "firstParam" , "secondParam" ], }, }; // Step 1: Call generateContent with function calling enabled. const generateContentResponse = await ai . models . generateContent ({ model : "gemini-2.0-flash" , contents : "I have 57 cats, each owns 44 mittens, how many mittens is that in total?" , config : { toolConfig : { functionCallingConfig : { mode : FunctionCallingConfigMode . ANY , }, }, tools : [ { functionDeclarations : [ addDeclaration , subtractDeclaration , multiplyDeclaration , divideDeclaration , ], }, ], }, }); // Step 2: Extract the function call.( // Assuming the response contains a 'functionCalls' array. const functionCall = generateContentResponse . functionCalls && generateContentResponse . functionCalls [ 0 ]; console . log ( functionCall ); // Parse the arguments. const args = functionCall . args ; // Expected args format: { firstParam: number, secondParam: number } // Step 3: Invoke the actual function based on the function name. const functionMapping = { addNumbers : add , subtractNumbers : subtract , multiplyNumbers : multiply , divideNumbers : divide , }; const func = functionMapping [ functionCall . name ]; if ( ! func ) { console . error ( "Unimplemented error:" , functionCall . name ); return generateContentResponse ; } const resultValue = func ( args . firstParam , args . secondParam ); console . log ( "Function result:" , resultValue ); // Step 4: Use the chat API to send the result as the final answer. const chat = ai . chats . create ({ model : "gemini-2.0-flash" }); const chatResponse = await chat . sendMessage ({ message : "The final result is " + resultValue , }); console . log ( chatResponse . text ); return chatResponse ; } function_calling . js kabuk cat > tools.json << EOF { "function_declarations" : [ { "name" : "enable_lights" , "description" : "Turn on the lighting system." } , { "name" : "set_light_color" , "description" : "Set the light color. Lights must be enabled for this to work." , "parameters" : { "type" : "object" , "properties" : { "rgb_hex" : { "type" : "string" , "description" : "The light color as a 6-digit hex string, e.g. ff0000 for red." } } , "required" : [ "rgb_hex" ] } } , { "name" : "stop_lights" , "description" : "Turn off the lighting system." } ] } EOF curl "https://generativelanguage.googleapis.com/v1beta/models/gemini-2.0-flash:generateContent?key= $GEMINI_API_KEY " \ -H 'Content-Type: application/json' \ -d @< ( echo ' { "system_instruction": { "parts": { "text": "You are a helpful lighting system bot. You can turn lights on and off, and you can set the color. Do not perform any other tasks." } }, "tools": [' $( cat tools.json ) '], "tool_config": { "function_calling_config": {"mode": "auto"} }, "contents": { "role": "user", "parts": { "text": "Turn on the lights please." } } } ' ) 2 >/dev/null | sed -n '/"content"/,/"finishReason"/p' function_calling.sh Java Client client = new Client (); FunctionDeclaration addFunction = FunctionDeclaration . builder () . name ( "addNumbers" ) . parameters ( Schema . builder () . type ( "object" ) . properties ( Map . of ( "firstParam" , Schema . builder (). type ( "number" ). description ( "First number" ). build (), "secondParam" , Schema . builder (). type ( "number" ). description ( "Second number" ). build ())) . required ( Arrays . asList ( "firstParam" , "secondParam" )) . build ()) . build (); FunctionDeclaration subtractFunction = FunctionDeclaration . builder () . name ( "subtractNumbers" ) . parameters ( Schema . builder () . type ( "object" ) . properties ( Map . of ( "firstParam" , Schema . builder (). type ( "number" ). description ( "First number" ). build (), "secondParam" , Schema . builder (). type ( "number" ). description ( "Second number" ). build ())) . required ( Arrays . asList ( "firstParam" , "secondParam" )) . build ()) . build (); FunctionDeclaration multiplyFunction = FunctionDeclaration . builder () . name ( "multiplyNumbers" ) . parameters ( Schema . builder () . type ( "object" ) . properties ( Map . of ( "firstParam" , Schema . builder (). type ( "number" ). description ( "First number" ). build (), "secondParam" , Schema . builder (). type ( "number" ). description ( "Second number" ). build ())) . required ( Arrays . asList ( "firstParam" , "secondParam" )) . build ()) . build (); FunctionDeclaration divideFunction = FunctionDeclaration . builder () . name ( "divideNumbers" ) . parameters ( Schema . builder () . type ( "object" ) . properties ( Map . of ( "firstParam" , Schema . builder (). type ( "number" ). description ( "First number" ). build (), "secondParam" , Schema . builder (). type ( "number" ). description ( "Second number" ). build ())) . required ( Arrays . asList ( "firstParam" , "secondParam" )) . build ()) . build (); GenerateContentConfig config = GenerateContentConfig . builder () . toolConfig ( ToolConfig . builder (). functionCallingConfig ( FunctionCallingConfig . builder (). mode ( "ANY" ). build () ). build ()) . tools ( Collections . singletonList ( Tool . builder (). functionDeclarations ( Arrays . asList ( addFunction , subtractFunction , divideFunction , multiplyFunction ) ). build () ) ) . build (); GenerateContentResponse response = client . models . generateContent ( "gemini-2.0-flash" , "I have 57 cats, each owns 44 mittens, how many mittens is that in total?" , config ); if ( response . functionCalls () == null || response . functionCalls (). isEmpty ()) { System . err . println ( "No function call received" ); return null ; } var functionCall = response . functionCalls (). getFirst (); String functionName = functionCall . name (). get (); var arguments = functionCall . args (); Map<String , BiFunction<Double , Double , Double >> functionMapping = new HashMap <> (); functionMapping . put ( "addNumbers" , ( a , b ) - > a + b ); functionMapping . put ( "subtractNumbers" , ( a , b ) - > a - b ); functionMapping . put ( "multiplyNumbers" , ( a , b ) - > a * b ); functionMapping . put ( "divideNumbers" , ( a , b ) - > b != 0 ? a / b : Double . NaN ); BiFunction<Double , Double , Double > function = functionMapping . get ( functionName ); Number firstParam = ( Number ) arguments . get (). get ( "firstParam" ); Number secondParam = ( Number ) arguments . get (). get ( "secondParam" ); Double result = function . apply ( firstParam . doubleValue (), secondParam . doubleValue ()); System . out . println ( result ); FunctionCalling . java Oluşturma yapılandırması Python from google import genai from google.genai import types client = genai . Client () response = client . models . generate_content ( model = "gemini-2.0-flash" , contents = "Tell me a story about a magic backpack." , config = types . GenerateContentConfig ( candidate_count = 1 , stop_sequences = [ "x" ], max_output_tokens = 20 , temperature = 1.0 , ), ) print ( response . text ) configure_model_parameters . py Node.js // Make sure to include the following import: // import {GoogleGenAI} from '@google/genai'; const ai = new GoogleGenAI ({ apiKey : process . env . GEMINI_API_KEY }); const response = await ai . models . generateContent ({ model : "gemini-2.0-flash" , contents : "Tell me a story about a magic backpack." , config : { candidateCount : 1 , stopSequences : [ "x" ], maxOutputTokens : 20 , temperature : 1.0 , }, }); console . log ( response . text ); configure_model_parameters . js Go ctx := context . Background () client , err := genai . NewClient ( ctx , & genai . ClientConfig { APIKey : os . Getenv ( "GEMINI_API_KEY" ), Backend : genai . BackendGeminiAPI , }) if err != nil { log . Fatal ( err ) } // Create local variables for parameters. candidateCount := int32 ( 1 ) maxOutputTokens := int32 ( 20 ) temperature := float32 ( 1.0 ) response , err := client . Models . GenerateContent ( ctx , "gemini-2.0-flash" , genai . Text ( "Tell me a story about a magic backpack." ), & genai . GenerateContentConfig { CandidateCount : candidateCount , StopSequences : [] string { "x" }, MaxOutputTokens : maxOutputTokens , Temperature : & temperature , }, ) if err != nil { log . Fatal ( err ) } printResponse ( response ) configure_model_parameters . go kabuk curl https://generativelanguage.googleapis.com/v1beta/models/gemini-2.0-flash:generateContent?key = $GEMINI_API_KEY \ -H 'Content-Type: application/json' \ -X POST \ -d '{ "contents": [{ "parts":[ {"text": "Explain how AI works"} ] }], "generationConfig": { "stopSequences": [ "Title" ], "temperature": 1.0, "maxOutputTokens": 800, "topP": 0.8, "topK": 10 } }' 2 > /dev/null | grep "text" configure_model_parameters.sh Java Client client = new Client (); GenerateContentConfig config = GenerateContentConfig . builder () . candidateCount ( 1 ) . stopSequences ( List . of ( "x" )) . maxOutputTokens ( 20 ) . temperature ( 1.0F ) . build (); GenerateContentResponse response = client . models . generateContent ( "gemini-2.0-flash" , "Tell me a story about a magic backpack." , config ); System . out . println ( response . text ()); ConfigureModelParameters . java Güvenlik ayarları Python from google import genai from google.genai import types client = genai . Client () unsafe_prompt = ( "I support Martians Soccer Club and I think Jupiterians Football Club sucks! " "Write a ironic phrase about them including expletives." ) response = client . models . generate_content ( model = "gemini-2.0-flash" , contents = unsafe_prompt , config = types . GenerateContentConfig ( safety_settings = [ types . SafetySetting ( category = "HARM_CATEGORY_HATE_SPEECH" , threshold = "BLOCK_MEDIUM_AND_ABOVE" , ), types . SafetySetting ( category = "HARM_CATEGORY_HARASSMENT" , threshold = "BLOCK_ONLY_HIGH" ), ] ), ) try : print ( response . text ) except Exception : print ( "No information generated by the model." ) print ( response . candidates [ 0 ] . safety_ratings ) safety_settings . py Node.js // Make sure to include the following import: // import {GoogleGenAI} from '@google/genai'; const ai = new GoogleGenAI ({ apiKey : process . env . GEMINI_API_KEY }); const unsafePrompt = "I support Martians Soccer Club and I think Jupiterians Football Club sucks! Write a ironic phrase about them including expletives." ; const response = await ai . models . generateContent ({ model : "gemini-2.0-flash" , contents : unsafePrompt , config : { safetySettings : [ { category : "HARM_CATEGORY_HATE_SPEECH" , threshold : "BLOCK_MEDIUM_AND_ABOVE" , }, { category : "HARM_CATEGORY_HARASSMENT" , threshold : "BLOCK_ONLY_HIGH" , }, ], }, }); try { console . log ( "Generated text:" , response . text ); } catch ( error ) { c | 2026-01-13T09:29:59 |
https://addons.mozilla.org/pt-PT/firefox/user/18674047/ | Perfil de utilizador para Hugvan – Extras para o Firefox (pt-PT) Para utilizar estes extras, terá de transferir o Firefox . Descartar este aviso Extras do Firefox Extensões Temas Mais… para o Firefox Dicionários e pacotes de idiomas Outros sites de navegadores Extras para Android Iniciar sessão Pesquisar Pesquisar Hugvan Reportar este utilizador Extensões por Hugvan Não existem avaliações ainda Não existem avaliações ainda Não existem avaliações ainda Não existem avaliações ainda Não existem avaliações ainda Não existem avaliações ainda Não existem avaliações ainda Não existem avaliações ainda Não existem avaliações ainda Não existem avaliações ainda Temas por Hugvan Não existem avaliações ainda Não existem avaliações ainda Não existem avaliações ainda Não existem avaliações ainda Não existem avaliações ainda Não existem avaliações ainda Não existem avaliações ainda Não existem avaliações ainda Não existem avaliações ainda Não existem avaliações ainda Não existem avaliações ainda Não existem avaliações ainda Ir para a página inicial da Mozilla Extras Acerca Blogue de extras do Firefox Workshop de extensões Central do programador Políticas de programador Blogue da comunidade Fórum Reportar um erro Guia de análise Navegadores Desktop Mobile Enterprise Produtos Browsers VPN Relay Monitor Pocket Bluesky (@firefox.com) Instagram (Firefox) YouTube (firefoxchannel) Privacidade Cookies Informação legal Exceto onde anotado o contrário, o conteúdo neste site está licenciado sob a licença Creative Commons Atribuição-CompartilhaIgual v3.0 ou qualquer versão mais recente. Alterar idioma Čeština Deutsch Dolnoserbšćina Ελληνικά English (Canadian) English (British) English (US) Español (de Argentina) Español (de Chile) Español (de España) Español (de México) suomi Français Furlan Frysk עברית Hrvatski Hornjoserbsce magyar Interlingua Italiano 日本語 ქართული Taqbaylit 한국어 Norsk bokmål Nederlands Norsk nynorsk Polski Português (do Brasil) Português (Europeu) Română Русский slovenčina Slovenščina Shqip Svenska Türkçe Українська Tiếng Việt 中文 (简体) 正體中文 (繁體) | 2026-01-13T09:29:59 |
https://addons.mozilla.org/pt-PT/firefox/user/9873622/ | Perfil de utilizador para Utilizador do Firefox 9873622 – Extras para o Firefox (pt-PT) Para utilizar estes extras, terá de transferir o Firefox . Descartar este aviso Extras do Firefox Extensões Temas Mais… para o Firefox Dicionários e pacotes de idiomas Outros sites de navegadores Extras para Android Iniciar sessão Pesquisar Pesquisar Utilizador do Firefox 9873622 Reportar este utilizador Extensões por Utilizador do Firefox 9873622 Não existem avaliações ainda Não existem avaliações ainda Não existem avaliações ainda Não existem avaliações ainda Não existem avaliações ainda Não existem avaliações ainda Não existem avaliações ainda Não existem avaliações ainda Não existem avaliações ainda Não existem avaliações ainda Temas por Utilizador do Firefox 9873622 Não existem avaliações ainda Não existem avaliações ainda Não existem avaliações ainda Não existem avaliações ainda Não existem avaliações ainda Não existem avaliações ainda Não existem avaliações ainda Não existem avaliações ainda Não existem avaliações ainda Não existem avaliações ainda Não existem avaliações ainda Não existem avaliações ainda Ir para a página inicial da Mozilla Extras Acerca Blogue de extras do Firefox Workshop de extensões Central do programador Políticas de programador Blogue da comunidade Fórum Reportar um erro Guia de análise Navegadores Desktop Mobile Enterprise Produtos Browsers VPN Relay Monitor Pocket Bluesky (@firefox.com) Instagram (Firefox) YouTube (firefoxchannel) Privacidade Cookies Informação legal Exceto onde anotado o contrário, o conteúdo neste site está licenciado sob a licença Creative Commons Atribuição-CompartilhaIgual v3.0 ou qualquer versão mais recente. Alterar idioma Čeština Deutsch Dolnoserbšćina Ελληνικά English (Canadian) English (British) English (US) Español (de Argentina) Español (de Chile) Español (de España) Español (de México) suomi Français Furlan Frysk עברית Hrvatski Hornjoserbsce magyar Interlingua Italiano 日本語 ქართული Taqbaylit 한국어 Norsk bokmål Nederlands Norsk nynorsk Polski Português (do Brasil) Português (Europeu) Română Русский slovenčina Slovenščina Shqip Svenska Türkçe Українська Tiếng Việt 中文 (简体) 正體中文 (繁體) | 2026-01-13T09:29:59 |
https://github.com/infisical/infisical/edit/main/docs/documentation/platform/pki/integration-guides/nginx-certbot.mdx | Sign in to GitHub · GitHub Skip to content You signed in with another tab or window. Reload to refresh your session. You signed out in another tab or window. Reload to refresh your session. You switched accounts on another tab or window. Reload to refresh your session. Dismiss alert Sign in to GitHub {{ message }} --> Username or email address Password Forgot password? Uh oh! There was an error while loading. Please reload this page . New to GitHub? Create an account Sign in with a passkey Terms Privacy Docs Contact GitHub Support Manage cookies Do not share my personal information You can’t perform that action at this time. | 2026-01-13T09:29:59 |
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https://play.google.com/store/apps/details?id=notion.id&hl=ne | Notion: Notes, Tasks, AI - Apps on Google Play Games Apps Books Kids google_logo Play Games Apps Books Kids none search help_outline Sign in with Google play_apps Library & devices payment Payments & subscriptions reviews My Play activity redeem Offers Play Pass Personalization in Play settings Settings Privacy Policy • Terms of Service Games Apps Books Kids Notion: Notes, Tasks, AI Notion Labs, Inc. In-app purchases 4.8 star 327K reviews 10M+ Downloads Rated for 3+ info Install Share Add to wishlist About this app arrow_forward Whether you’re looking to track your personal to-do’s, write and organize class notes, or run project management with a team, Notion is the AI-powered workspace that works your way, for any need. Keep track of your personal and professional goals, take notes about what you care about, and stay organized. "AI's everything app" — Forbes Notion is a productivity app where you can write, plan, and organize your notes, projects, tasks and more - all in one place. Ask Notion AI about project updates, upcoming tasks, and suggestions for a more streamlined workflow. Simplify writing notes, project and task management, and collaboration. Whether for personal, student or professional use, Notion scales to meet your individual needs with customization tools for everyone. FREE FOR PERSONAL USE • Create as many notes, docs, and content as you want. • Use one of thousands of templates to get started. FREE TO TRY WITH YOUR TEAM • Millions run on Notion every day, from next-generation startups to established enterprises. • Import Google Docs, PDFs, and other content types easily to get started • Write and organize meeting notes, or transcribe with AI. • Collaboration and team work at your fingertips, in one connected workspace. • Connect tools like Figma, Slack, and GitHub to Notion. FREE FOR STUDENTS • Your study planner, class notes, to do lists and more, your way. Loved by millions of students worldwide. • Get organized for your best school year yet with beautiful, customizable templates created by students, for students. NOTES & DOCS Communication is made efficient with Notion's flexible building blocks. • Create docs with beautiful templates, images, to-dos, and 50+ more content types. • Meeting notes, projects, design systems, pitch decks, and more. • Find exactly what you need using Search with powerful filters to find content across your workspace. TASKS & PROJECTS Catch all details big and small in any workflow. • Workflow manager: Create your own priority labels, status tags, and automations to choose the exact info you want to track. • Capture every detail in a table. Break projects into manageable tasks to get the work done. AI One tool that does it all - search, generate, analyze, and chat - right inside Notion. • Write better. Use Notion AI to help write and brainstorm. • Get answers. Ask Notion AI questions about all your content and get answers in seconds. • Autofill tables. Notion AI turns overwhelming data into clear, actionable information — automatically. SYNCS WITH BROWSER, MAC, AND WINDOWS APPS. • Pick up on mobile where you left off on desktop. MORE PRODUCTIVITY. FEWER TOOLS. • Track to-dos, write notes, create docs, and manage projects in one connected workspace. THINK IT. MAKE IT. Updated on Jan 13, 2026 Productivity Data safety arrow_forward Safety starts with understanding how developers collect and share your data. Data privacy and security practices may vary based on your use, region, and age. The developer provided this information and may update it over time. This app may share these data types with third parties Personal info, App activity and 2 others This app may collect these data types Personal info, Photos and videos and 5 others Data is encrypted in transit You can request that data be deleted See details Ratings and reviews Ratings and reviews are verified info_outline arrow_forward Ratings and reviews are verified info_outline phone_android Phone laptop Chromebook tablet_android Tablet 4.8 319K reviews 5 4 3 2 1 Sommy Nriama more_vert Flag inappropriate Show review history <path d="M12 17.27L18.18 | 2026-01-13T09:29:59 |
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https://play.google.com/store/apps/details?id=notion.id&hl=kn | Notion: Notes, Tasks, AI - Apps on Google Play Games Apps Books Kids google_logo Play Games Apps Books Kids none search help_outline Sign in with Google play_apps Library & devices payment Payments & subscriptions reviews My Play activity redeem Offers Play Pass Personalization in Play settings Settings Privacy Policy • Terms of Service Games Apps Books Kids Notion: Notes, Tasks, AI Notion Labs, Inc. In-app purchases 4.8 star 327K reviews 10M+ Downloads Rated for 3+ info Install Share Add to wishlist About this app arrow_forward Whether you’re looking to track your personal to-do’s, write and organize class notes, or run project management with a team, Notion is the AI-powered workspace that works your way, for any need. Keep track of your personal and professional goals, take notes about what you care about, and stay organized. "AI's everything app" — Forbes Notion is a productivity app where you can write, plan, and organize your notes, projects, tasks and more - all in one place. Ask Notion AI about project updates, upcoming tasks, and suggestions for a more streamlined workflow. Simplify writing notes, project and task management, and collaboration. Whether for personal, student or professional use, Notion scales to meet your individual needs with customization tools for everyone. FREE FOR PERSONAL USE • Create as many notes, docs, and content as you want. • Use one of thousands of templates to get started. FREE TO TRY WITH YOUR TEAM • Millions run on Notion every day, from next-generation startups to established enterprises. • Import Google Docs, PDFs, and other content types easily to get started • Write and organize meeting notes, or transcribe with AI. • Collaboration and team work at your fingertips, in one connected workspace. • Connect tools like Figma, Slack, and GitHub to Notion. FREE FOR STUDENTS • Your study planner, class notes, to do lists and more, your way. Loved by millions of students worldwide. • Get organized for your best school year yet with beautiful, customizable templates created by students, for students. NOTES & DOCS Communication is made efficient with Notion's flexible building blocks. • Create docs with beautiful templates, images, to-dos, and 50+ more content types. • Meeting notes, projects, design systems, pitch decks, and more. • Find exactly what you need using Search with powerful filters to find content across your workspace. TASKS & PROJECTS Catch all details big and small in any workflow. • Workflow manager: Create your own priority labels, status tags, and automations to choose the exact info you want to track. • Capture every detail in a table. Break projects into manageable tasks to get the work done. AI One tool that does it all - search, generate, analyze, and chat - right inside Notion. • Write better. Use Notion AI to help write and brainstorm. • Get answers. Ask Notion AI questions about all your content and get answers in seconds. • Autofill tables. Notion AI turns overwhelming data into clear, actionable information — automatically. SYNCS WITH BROWSER, MAC, AND WINDOWS APPS. • Pick up on mobile where you left off on desktop. MORE PRODUCTIVITY. FEWER TOOLS. • Track to-dos, write notes, create docs, and manage projects in one connected workspace. THINK IT. MAKE IT. Updated on Jan 13, 2026 Productivity Data safety arrow_forward Safety starts with understanding how developers collect and share your data. Data privacy and security practices may vary based on your use, region, and age. The developer provided this information and may update it over time. This app may share these data types with third parties Personal info, App activity and 2 others This app may collect these data types Personal info, Photos and videos and 5 others Data is encrypted in transit You can request that data be deleted See details Ratings and reviews Ratings and reviews are verified info_outline arrow_forward Ratings and reviews are verified info_outline phone_android Phone laptop Chromebook tablet_android Tablet 4.8 319K reviews 5 4 3 2 1 Sommy Nriama more_vert Flag inappropriate Show review history <pa | 2026-01-13T09:29:59 |
https://ai.google.dev/api/generate-content?hl=tr#v1beta.GenerateContentResponse | Generating content | Gemini API | Google AI for Developers Ana içeriğe atla / English Deutsch Español – América Latina Français Indonesia Italiano Polski Português – Brasil Shqip Tiếng Việt Türkçe Русский עברית العربيّة فارسی हिंदी বাংলা ภาษาไทย 中文 – 简体 中文 – 繁體 日本語 한국어 API anahtarı alma Tarif Defteri Topluluk Oturum aç Dokümanlar API referansı Gemini API Dokümanlar API referansı API anahtarı alma Tarif Defteri Topluluk Genel bakış API sürümleri İşlemler Modeller İçerik oluşturuluyor Canlı API Live Music API Interactions API Simgeler Dosyalar Toplu API Önbelleğe alma Yerleştirmeler Dosya arama Dosya arama mağazaları Doküman Tüm yöntemler Kullanımdan kaldırıldı PaLM (artık kaldırıldı) SDK referansları Python Go TypeScript Java C# Ana Sayfa Gemini API API referansı Geri bildirim gönderin Generating content Gemini API; resim, ses, kod, araç ve daha fazlasını içeren içerik oluşturmayı destekler. Bu özelliklerin her biriyle ilgili ayrıntılar için okumaya devam edin ve göreve odaklanmış örnek kodu inceleyin veya kapsamlı kılavuzları okuyun. Metin oluşturma Görme Ses Yerleştirmeler Uzun bağlam Kod yürütme JSON Modu İşlev çağırma Sistem talimatları Yöntem: models.generateContent Uç nokta Yol parametreleri İstek metni JSON gösterimi Yanıt metni Yetkilendirme kapsamları Örnek istek Metin Resim Ses Video PDF Chat Önbellek Ayarlanmış Model (Tuned Model) JSON Modu Kod yürütme İşlev Çağırma Üretim yapılandırması Güvenlik Ayarları Sistem Talimatı (System Instruction) GenerateContentRequest girişiyle model yanıtı oluşturur. Ayrıntılı kullanım bilgileri için metin oluşturma kılavuzuna bakın. Ayarlanmış modeller de dahil olmak üzere modeller arasındaki giriş özellikleri farklıdır. Ayrıntılar için model kılavuzuna ve ayarlama kılavuzuna bakın. Uç nokta post https: / /generativelanguage.googleapis.com /v1beta /{model=models /*}:generateContent Yol parametreleri model string Zorunlu. Tamamlama oluşturmak için kullanılacak Model öğesinin adı. Biçim: models/{model} . models/{model} biçimindedir. İstek metni İstek içeriği aşağıdaki yapıyla birlikte verileri içerir: Alanlar contents[] object ( Content ) Zorunlu. Modelle yapılan mevcut görüşmenin içeriği. Tek dönüşlü sorgular için bu tek bir örnektir. Sohbet gibi çok turlu sorgular için bu, sohbet geçmişini ve son isteği içeren yinelenen bir alandır. tools[] object ( Tool ) İsteğe bağlı. Bir sonraki yanıtı oluşturmak için Tools Model kullanılabileceklerin listesi. Tool , sistemin Model 'nin bilgisi ve kapsamı dışında bir işlem veya işlemler dizisi gerçekleştirmek için harici sistemlerle etkileşime girmesini sağlayan bir kod parçasıdır. Desteklenen Tool 'ler Function ve codeExecution 'dir. Daha fazla bilgi için İşlev çağırma ve Kod yürütme kılavuzlarına bakın. toolConfig object ( ToolConfig ) İsteğe bağlı. İstekte belirtilen tüm Tool için araç yapılandırması. Kullanım örneği için İşlev çağırma kılavuzuna bakın. safetySettings[] object ( SafetySetting ) İsteğe bağlı. Güvenli olmayan içeriğin engellenmesi için benzersiz SafetySetting örneklerinin listesi. Bu kural GenerateContentRequest.contents ve GenerateContentResponse.candidates üzerinde zorunlu tutulacaktır. Her SafetyCategory türü için birden fazla ayar olmamalıdır. API, bu ayarlarda belirlenen eşikleri karşılamayan tüm içerikleri ve yanıtları engeller. Bu liste, safetySettings içinde belirtilen her SafetyCategory için varsayılan ayarları geçersiz kılar. Listede belirli bir SafetyCategory için SafetySetting yoksa API, bu kategori için varsayılan güvenlik ayarını kullanır. HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY zarar kategorileri desteklenir. Kullanılabilen güvenlik ayarları hakkında ayrıntılı bilgi için kılavuza bakın. Ayrıca, yapay zeka uygulamalarınıza güvenlik unsurlarını nasıl dahil edeceğinizi öğrenmek için Güvenlik rehberine de göz atın. systemInstruction object ( Content ) İsteğe bağlı. Geliştirici tarafından belirlenen sistem talimatları . Şu anda yalnızca metin desteklenmektedir. generationConfig object ( GenerationConfig ) İsteğe bağlı. Model oluşturma ve çıkışlarla ilgili yapılandırma seçenekleri. cachedContent string İsteğe bağlı. Tahmini sunmak için bağlam olarak kullanılacak önbelleğe alınan içeriğin adı. Biçim: cachedContents/{cachedContent} Örnek istek Metin Python from google import genai client = genai . Client () response = client . models . generate_content ( model = "gemini-2.0-flash" , contents = "Write a story about a magic backpack." ) print ( response . text ) text_generation . py Node.js // Make sure to include the following import: // import {GoogleGenAI} from '@google/genai'; const ai = new GoogleGenAI ({ apiKey : process . env . GEMINI_API_KEY }); const response = await ai . models . generateContent ({ model : "gemini-2.0-flash" , contents : "Write a story about a magic backpack." , }); console . log ( response . text ); text_generation . js Go ctx := context . Background () client , err := genai . NewClient ( ctx , & genai . ClientConfig { APIKey : os . Getenv ( "GEMINI_API_KEY" ), Backend : genai . BackendGeminiAPI , }) if err != nil { log . Fatal ( err ) } contents := [] * genai . Content { genai . NewContentFromText ( "Write a story about a magic backpack." , genai . RoleUser ), } response , err := client . Models . GenerateContent ( ctx , "gemini-2.0-flash" , contents , nil ) if err != nil { log . Fatal ( err ) } printResponse ( response ) text_generation . go kabuk curl "https://generativelanguage.googleapis.com/v1beta/models/gemini-2.0-flash:generateContent?key= $GEMINI_API_KEY " \ -H 'Content-Type: application/json' \ -X POST \ -d '{ "contents": [{ "parts":[{"text": "Write a story about a magic backpack."}] }] }' 2 > /dev/null text_generation.sh Java Client client = new Client (); GenerateContentResponse response = client . models . generateContent ( "gemini-2.0-flash" , "Write a story about a magic backpack." , null ); System . out . println ( response . text ()); TextGeneration . java Resim Python from google import genai import PIL.Image client = genai . Client () organ = PIL . Image . open ( media / "organ.jpg" ) response = client . models . generate_content ( model = "gemini-2.0-flash" , contents = [ "Tell me about this instrument" , organ ] ) print ( response . text ) text_generation . py Node.js // Make sure to include the following import: // import {GoogleGenAI} from '@google/genai'; const ai = new GoogleGenAI ({ apiKey : process . env . GEMINI_API_KEY }); const organ = await ai . files . upload ({ file : path . join ( media , "organ.jpg" ), }); const response = await ai . models . generateContent ({ model : "gemini-2.0-flash" , contents : [ createUserContent ([ "Tell me about this instrument" , createPartFromUri ( organ . uri , organ . mimeType ) ]), ], }); console . log ( response . text ); text_generation . js Go ctx := context . Background () client , err := genai . NewClient ( ctx , & genai . ClientConfig { APIKey : os . Getenv ( "GEMINI_API_KEY" ), Backend : genai . BackendGeminiAPI , }) if err != nil { log . Fatal ( err ) } file , err := client . Files . UploadFromPath ( ctx , filepath . Join ( getMedia (), "organ.jpg" ), & genai . UploadFileConfig { MIMEType : "image/jpeg" , }, ) if err != nil { log . Fatal ( err ) } parts := [] * genai . Part { genai . NewPartFromText ( "Tell me about this instrument" ), genai . NewPartFromURI ( file . URI , file . MIMEType ), } contents := [] * genai . Content { genai . NewContentFromParts ( parts , genai . RoleUser ), } response , err := client . Models . GenerateContent ( ctx , "gemini-2.0-flash" , contents , nil ) if err != nil { log . Fatal ( err ) } printResponse ( response ) text_generation . go kabuk # Use a temporary file to hold the base64 encoded image data TEMP_B64 = $( mktemp ) trap 'rm -f "$TEMP_B64"' EXIT base64 $B64FLAGS $IMG_PATH > " $TEMP_B64 " # Use a temporary file to hold the JSON payload TEMP_JSON = $( mktemp ) trap 'rm -f "$TEMP_JSON"' EXIT cat > " $TEMP_JSON " << EOF { "contents" : [{ "parts" : [ { "text" : "Tell me about this instrument" } , { "inline_data" : { "mime_type" : "image/jpeg" , "data" : " $( cat " $TEMP_B64 " ) " } } ] }] } EOF curl "https://generativelanguage.googleapis.com/v1beta/models/gemini-2.0-flash:generateContent?key= $GEMINI_API_KEY " \ -H 'Content-Type: application/json' \ -X POST \ -d "@ $TEMP_JSON " 2 > /dev/null text_generation.sh Java Client client = new Client (); String path = media_path + "organ.jpg" ; byte [] imageData = Files . readAllBytes ( Paths . get ( path )); Content content = Content . fromParts ( Part . fromText ( "Tell me about this instrument." ), Part . fromBytes ( imageData , "image/jpeg" )); GenerateContentResponse response = client . models . generateContent ( "gemini-2.0-flash" , content , null ); System . out . println ( response . text ()); TextGeneration . java Ses Python from google import genai client = genai . Client () sample_audio = client . files . upload ( file = media / "sample.mp3" ) response = client . models . generate_content ( model = "gemini-2.0-flash" , contents = [ "Give me a summary of this audio file." , sample_audio ], ) print ( response . text ) text_generation . py Node.js // Make sure to include the following import: // import {GoogleGenAI} from '@google/genai'; const ai = new GoogleGenAI ({ apiKey : process . env . GEMINI_API_KEY }); const audio = await ai . files . upload ({ file : path . join ( media , "sample.mp3" ), }); const response = await ai . models . generateContent ({ model : "gemini-2.0-flash" , contents : [ createUserContent ([ "Give me a summary of this audio file." , createPartFromUri ( audio . uri , audio . mimeType ), ]), ], }); console . log ( response . text ); text_generation . js Go ctx := context . Background () client , err := genai . NewClient ( ctx , & genai . ClientConfig { APIKey : os . Getenv ( "GEMINI_API_KEY" ), Backend : genai . BackendGeminiAPI , }) if err != nil { log . Fatal ( err ) } file , err := client . Files . UploadFromPath ( ctx , filepath . Join ( getMedia (), "sample.mp3" ), & genai . UploadFileConfig { MIMEType : "audio/mpeg" , }, ) if err != nil { log . Fatal ( err ) } parts := [] * genai . Part { genai . NewPartFromText ( "Give me a summary of this audio file." ), genai . NewPartFromURI ( file . URI , file . MIMEType ), } contents := [] * genai . Content { genai . NewContentFromParts ( parts , genai . RoleUser ), } response , err := client . Models . GenerateContent ( ctx , "gemini-2.0-flash" , contents , nil ) if err != nil { log . Fatal ( err ) } printResponse ( response ) text_generation . go kabuk # Use File API to upload audio data to API request. MIME_TYPE = $( file -b --mime-type " ${ AUDIO_PATH } " ) NUM_BYTES = $( wc -c < " ${ AUDIO_PATH } " ) DISPLAY_NAME = AUDIO tmp_header_file = upload-header.tmp # Initial resumable request defining metadata. # The upload url is in the response headers dump them to a file. curl " ${ BASE_URL } /upload/v1beta/files?key= ${ GEMINI_API_KEY } " \ -D upload-header.tmp \ -H "X-Goog-Upload-Protocol: resumable" \ -H "X-Goog-Upload-Command: start" \ -H "X-Goog-Upload-Header-Content-Length: ${ NUM_BYTES } " \ -H "X-Goog-Upload-Header-Content-Type: ${ MIME_TYPE } " \ -H "Content-Type: application/json" \ -d "{'file': {'display_name': ' ${ DISPLAY_NAME } '}}" 2 > /dev/null upload_url = $( grep -i "x-goog-upload-url: " " ${ tmp_header_file } " | cut -d " " -f2 | tr -d "\r" ) rm " ${ tmp_header_file } " # Upload the actual bytes. curl " ${ upload_url } " \ -H "Content-Length: ${ NUM_BYTES } " \ -H "X-Goog-Upload-Offset: 0" \ -H "X-Goog-Upload-Command: upload, finalize" \ --data-binary "@ ${ AUDIO_PATH } " 2 > /dev/null > file_info.json file_uri = $( jq ".file.uri" file_info.json ) echo file_uri = $file_uri curl "https://generativelanguage.googleapis.com/v1beta/models/gemini-2.0-flash:generateContent?key= $GEMINI_API_KEY " \ -H 'Content-Type: application/json' \ -X POST \ -d '{ "contents": [{ "parts":[ {"text": "Please describe this file."}, {"file_data":{"mime_type": "audio/mpeg", "file_uri": ' $file_uri '}}] }] }' 2 > /dev/null > response.json cat response.json echo jq ".candidates[].content.parts[].text" response.json text_generation.sh Video Python from google import genai import time client = genai . Client () # Video clip (CC BY 3.0) from https://peach.blender.org/download/ myfile = client . files . upload ( file = media / "Big_Buck_Bunny.mp4" ) print ( f " { myfile =} " ) # Poll until the video file is completely processed (state becomes ACTIVE). while not myfile . state or myfile . state . name != "ACTIVE" : print ( "Processing video..." ) print ( "File state:" , myfile . state ) time . sleep ( 5 ) myfile = client . files . get ( name = myfile . name ) response = client . models . generate_content ( model = "gemini-2.0-flash" , contents = [ myfile , "Describe this video clip" ] ) print ( f " { response . text =} " ) text_generation . py Node.js // Make sure to include the following import: // import {GoogleGenAI} from '@google/genai'; const ai = new GoogleGenAI ({ apiKey : process . env . GEMINI_API_KEY }); let video = await ai . files . upload ({ file : path . join ( media , 'Big_Buck_Bunny.mp4' ), }); // Poll until the video file is completely processed (state becomes ACTIVE). while ( ! video . state || video . state . toString () !== 'ACTIVE' ) { console . log ( 'Processing video...' ); console . log ( 'File state: ' , video . state ); await sleep ( 5000 ); video = await ai . files . get ({ name : video . name }); } const response = await ai . models . generateContent ({ model : "gemini-2.0-flash" , contents : [ createUserContent ([ "Describe this video clip" , createPartFromUri ( video . uri , video . mimeType ), ]), ], }); console . log ( response . text ); text_generation . js Go ctx := context . Background () client , err := genai . NewClient ( ctx , & genai . ClientConfig { APIKey : os . Getenv ( "GEMINI_API_KEY" ), Backend : genai . BackendGeminiAPI , }) if err != nil { log . Fatal ( err ) } file , err := client . Files . UploadFromPath ( ctx , filepath . Join ( getMedia (), "Big_Buck_Bunny.mp4" ), & genai . UploadFileConfig { MIMEType : "video/mp4" , }, ) if err != nil { log . Fatal ( err ) } // Poll until the video file is completely processed (state becomes ACTIVE). for file . State == genai . FileStateUnspecified || file . State != genai . FileStateActive { fmt . Println ( "Processing video..." ) fmt . Println ( "File state:" , file . State ) time . Sleep ( 5 * time . Second ) file , err = client . Files . Get ( ctx , file . Name , nil ) if err != nil { log . Fatal ( err ) } } parts := [] * genai . Part { genai . NewPartFromText ( "Describe this video clip" ), genai . NewPartFromURI ( file . URI , file . MIMEType ), } contents := [] * genai . Content { genai . NewContentFromParts ( parts , genai . RoleUser ), } response , err := client . Models . GenerateContent ( ctx , "gemini-2.0-flash" , contents , nil ) if err != nil { log . Fatal ( err ) } printResponse ( response ) text_generation . go kabuk # Use File API to upload audio data to API request. MIME_TYPE = $( file -b --mime-type " ${ VIDEO_PATH } " ) NUM_BYTES = $( wc -c < " ${ VIDEO_PATH } " ) DISPLAY_NAME = VIDEO # Initial resumable request defining metadata. # The upload url is in the response headers dump them to a file. curl " ${ BASE_URL } /upload/v1beta/files?key= ${ GEMINI_API_KEY } " \ -D " ${ tmp_header_file } " \ -H "X-Goog-Upload-Protocol: resumable" \ -H "X-Goog-Upload-Command: start" \ -H "X-Goog-Upload-Header-Content-Length: ${ NUM_BYTES } " \ -H "X-Goog-Upload-Header-Content-Type: ${ MIME_TYPE } " \ -H "Content-Type: application/json" \ -d "{'file': {'display_name': ' ${ DISPLAY_NAME } '}}" 2 > /dev/null upload_url = $( grep -i "x-goog-upload-url: " " ${ tmp_header_file } " | cut -d " " -f2 | tr -d "\r" ) rm " ${ tmp_header_file } " # Upload the actual bytes. curl " ${ upload_url } " \ -H "Content-Length: ${ NUM_BYTES } " \ -H "X-Goog-Upload-Offset: 0" \ -H "X-Goog-Upload-Command: upload, finalize" \ --data-binary "@ ${ VIDEO_PATH } " 2 > /dev/null > file_info.json file_uri = $( jq ".file.uri" file_info.json ) echo file_uri = $file_uri state = $( jq ".file.state" file_info.json ) echo state = $state name = $( jq ".file.name" file_info.json ) echo name = $name while [[ "( $state )" = * "PROCESSING" * ]] ; do echo "Processing video..." sleep 5 # Get the file of interest to check state curl https://generativelanguage.googleapis.com/v1beta/files/ $name > file_info.json state = $( jq ".file.state" file_info.json ) done curl "https://generativelanguage.googleapis.com/v1beta/models/gemini-2.0-flash:generateContent?key= $GEMINI_API_KEY " \ -H 'Content-Type: application/json' \ -X POST \ -d '{ "contents": [{ "parts":[ {"text": "Transcribe the audio from this video, giving timestamps for salient events in the video. Also provide visual descriptions."}, {"file_data":{"mime_type": "video/mp4", "file_uri": ' $file_uri '}}] }] }' 2 > /dev/null > response.json cat response.json echo jq ".candidates[].content.parts[].text" response.json text_generation.sh PDF Python from google import genai client = genai . Client () sample_pdf = client . files . upload ( file = media / "test.pdf" ) response = client . models . generate_content ( model = "gemini-2.0-flash" , contents = [ "Give me a summary of this document:" , sample_pdf ], ) print ( f " { response . text =} " ) text_generation . py Go ctx := context . Background () client , err := genai . NewClient ( ctx , & genai . ClientConfig { APIKey : os . Getenv ( "GEMINI_API_KEY" ), Backend : genai . BackendGeminiAPI , }) if err != nil { log . Fatal ( err ) } file , err := client . Files . UploadFromPath ( ctx , filepath . Join ( getMedia (), "test.pdf" ), & genai . UploadFileConfig { MIMEType : "application/pdf" , }, ) if err != nil { log . Fatal ( err ) } parts := [] * genai . Part { genai . NewPartFromText ( "Give me a summary of this document:" ), genai . NewPartFromURI ( file . URI , file . MIMEType ), } contents := [] * genai . Content { genai . NewContentFromParts ( parts , genai . RoleUser ), } response , err := client . Models . GenerateContent ( ctx , "gemini-2.0-flash" , contents , nil ) if err != nil { log . Fatal ( err ) } printResponse ( response ) text_generation . go kabuk MIME_TYPE = $( file -b --mime-type " ${ PDF_PATH } " ) NUM_BYTES = $( wc -c < " ${ PDF_PATH } " ) DISPLAY_NAME = TEXT echo $MIME_TYPE tmp_header_file = upload-header.tmp # Initial resumable request defining metadata. # The upload url is in the response headers dump them to a file. curl " ${ BASE_URL } /upload/v1beta/files?key= ${ GEMINI_API_KEY } " \ -D upload-header.tmp \ -H "X-Goog-Upload-Protocol: resumable" \ -H "X-Goog-Upload-Command: start" \ -H "X-Goog-Upload-Header-Content-Length: ${ NUM_BYTES } " \ -H "X-Goog-Upload-Header-Content-Type: ${ MIME_TYPE } " \ -H "Content-Type: application/json" \ -d "{'file': {'display_name': ' ${ DISPLAY_NAME } '}}" 2 > /dev/null upload_url = $( grep -i "x-goog-upload-url: " " ${ tmp_header_file } " | cut -d " " -f2 | tr -d "\r" ) rm " ${ tmp_header_file } " # Upload the actual bytes. curl " ${ upload_url } " \ -H "Content-Length: ${ NUM_BYTES } " \ -H "X-Goog-Upload-Offset: 0" \ -H "X-Goog-Upload-Command: upload, finalize" \ --data-binary "@ ${ PDF_PATH } " 2 > /dev/null > file_info.json file_uri = $( jq ".file.uri" file_info.json ) echo file_uri = $file_uri # Now generate content using that file curl "https://generativelanguage.googleapis.com/v1beta/models/gemini-2.0-flash:generateContent?key= $GEMINI_API_KEY " \ -H 'Content-Type: application/json' \ -X POST \ -d '{ "contents": [{ "parts":[ {"text": "Can you add a few more lines to this poem?"}, {"file_data":{"mime_type": "application/pdf", "file_uri": ' $file_uri '}}] }] }' 2 > /dev/null > response.json cat response.json echo jq ".candidates[].content.parts[].text" response.json text_generation.sh Sohbet Python from google import genai from google.genai import types client = genai . Client () # Pass initial history using the "history" argument chat = client . chats . create ( model = "gemini-2.0-flash" , history = [ types . Content ( role = "user" , parts = [ types . Part ( text = "Hello" )]), types . Content ( role = "model" , parts = [ types . Part ( text = "Great to meet you. What would you like to know?" ) ], ), ], ) response = chat . send_message ( message = "I have 2 dogs in my house." ) print ( response . text ) response = chat . send_message ( message = "How many paws are in my house?" ) print ( response . text ) chat . py Node.js // Make sure to include the following import: // import {GoogleGenAI} from '@google/genai'; const ai = new GoogleGenAI ({ apiKey : process . env . GEMINI_API_KEY }); const chat = ai . chats . create ({ model : "gemini-2.0-flash" , history : [ { role : "user" , parts : [{ text : "Hello" }], }, { role : "model" , parts : [{ text : "Great to meet you. What would you like to know?" }], }, ], }); const response1 = await chat . sendMessage ({ message : "I have 2 dogs in my house." , }); console . log ( "Chat response 1:" , response1 . text ); const response2 = await chat . sendMessage ({ message : "How many paws are in my house?" , }); console . log ( "Chat response 2:" , response2 . text ); chat . js Go ctx := context . Background () client , err := genai . NewClient ( ctx , & genai . ClientConfig { APIKey : os . Getenv ( "GEMINI_API_KEY" ), Backend : genai . BackendGeminiAPI , }) if err != nil { log . Fatal ( err ) } // Pass initial history using the History field. history := [] * genai . Content { genai . NewContentFromText ( "Hello" , genai . RoleUser ), genai . NewContentFromText ( "Great to meet you. What would you like to know?" , genai . RoleModel ), } chat , err := client . Chats . Create ( ctx , "gemini-2.0-flash" , nil , history ) if err != nil { log . Fatal ( err ) } firstResp , err := chat . SendMessage ( ctx , genai . Part { Text : "I have 2 dogs in my house." }) if err != nil { log . Fatal ( err ) } fmt . Println ( firstResp . Text ()) secondResp , err := chat . SendMessage ( ctx , genai . Part { Text : "How many paws are in my house?" }) if err != nil { log . Fatal ( err ) } fmt . Println ( secondResp . Text ()) chat . go kabuk curl https://generativelanguage.googleapis.com/v1beta/models/gemini-2.0-flash:generateContent?key = $GEMINI_API_KEY \ -H 'Content-Type: application/json' \ -X POST \ -d '{ "contents": [ {"role":"user", "parts":[{ "text": "Hello"}]}, {"role": "model", "parts":[{ "text": "Great to meet you. What would you like to know?"}]}, {"role":"user", "parts":[{ "text": "I have two dogs in my house. How many paws are in my house?"}]}, ] }' 2 > /dev/null | grep "text" chat.sh Java Client client = new Client (); Content userContent = Content . fromParts ( Part . fromText ( "Hello" )); Content modelContent = Content . builder () . role ( "model" ) . parts ( Collections . singletonList ( Part . fromText ( "Great to meet you. What would you like to know?" ) ) ). build (); Chat chat = client . chats . create ( "gemini-2.0-flash" , GenerateContentConfig . builder () . systemInstruction ( userContent ) . systemInstruction ( modelContent ) . build () ); GenerateContentResponse response1 = chat . sendMessage ( "I have 2 dogs in my house." ); System . out . println ( response1 . text ()); GenerateContentResponse response2 = chat . sendMessage ( "How many paws are in my house?" ); System . out . println ( response2 . text ()); ChatSession . java Önbellek Python from google import genai from google.genai import types client = genai . Client () document = client . files . upload ( file = media / "a11.txt" ) model_name = "gemini-1.5-flash-001" cache = client . caches . create ( model = model_name , config = types . CreateCachedContentConfig ( contents = [ document ], system_instruction = "You are an expert analyzing transcripts." , ), ) print ( cache ) response = client . models . generate_content ( model = model_name , contents = "Please summarize this transcript" , config = types . GenerateContentConfig ( cached_content = cache . name ), ) print ( response . text ) cache . py Node.js // Make sure to include the following import: // import {GoogleGenAI} from '@google/genai'; const ai = new GoogleGenAI ({ apiKey : process . env . GEMINI_API_KEY }); const filePath = path . join ( media , "a11.txt" ); const document = await ai . files . upload ({ file : filePath , config : { mimeType : "text/plain" }, }); console . log ( "Uploaded file name:" , document . name ); const modelName = "gemini-1.5-flash-001" ; const contents = [ createUserContent ( createPartFromUri ( document . uri , document . mimeType )), ]; const cache = await ai . caches . create ({ model : modelName , config : { contents : contents , systemInstruction : "You are an expert analyzing transcripts." , }, }); console . log ( "Cache created:" , cache ); const response = await ai . models . generateContent ({ model : modelName , contents : "Please summarize this transcript" , config : { cachedContent : cache . name }, }); console . log ( "Response text:" , response . text ); cache . js Go ctx := context . Background () client , err := genai . NewClient ( ctx , & genai . ClientConfig { APIKey : os . Getenv ( "GEMINI_API_KEY" ), Backend : genai . BackendGeminiAPI , }) if err != nil { log . Fatal ( err ) } modelName := "gemini-1.5-flash-001" document , err := client . Files . UploadFromPath ( ctx , filepath . Join ( getMedia (), "a11.txt" ), & genai . UploadFileConfig { MIMEType : "text/plain" , }, ) if err != nil { log . Fatal ( err ) } parts := [] * genai . Part { genai . NewPartFromURI ( document . URI , document . MIMEType ), } contents := [] * genai . Content { genai . NewContentFromParts ( parts , genai . RoleUser ), } cache , err := client . Caches . Create ( ctx , modelName , & genai . CreateCachedContentConfig { Contents : contents , SystemInstruction : genai . NewContentFromText ( "You are an expert analyzing transcripts." , genai . RoleUser , ), }) if err != nil { log . Fatal ( err ) } fmt . Println ( "Cache created:" ) fmt . Println ( cache ) // Use the cache for generating content. response , err := client . Models . GenerateContent ( ctx , modelName , genai . Text ( "Please summarize this transcript" ), & genai . GenerateContentConfig { CachedContent : cache . Name , }, ) if err != nil { log . Fatal ( err ) } printResponse ( response ) cache . go Tuned Model Python # With Gemini 2 we're launching a new SDK. See the following doc for details. # https://ai.google.dev/gemini-api/docs/migrate README.md JSON Modu Python from google import genai from google.genai import types from typing_extensions import TypedDict class Recipe ( TypedDict ): recipe_name : str ingredients : list [ str ] client = genai . Client () result = client . models . generate_content ( model = "gemini-2.0-flash" , contents = "List a few popular cookie recipes." , config = types . GenerateContentConfig ( response_mime_type = "application/json" , response_schema = list [ Recipe ] ), ) print ( result ) controlled_generation . py Node.js // Make sure to include the following import: // import {GoogleGenAI} from '@google/genai'; const ai = new GoogleGenAI ({ apiKey : process . env . GEMINI_API_KEY }); const response = await ai . models . generateContent ({ model : "gemini-2.0-flash" , contents : "List a few popular cookie recipes." , config : { responseMimeType : "application/json" , responseSchema : { type : "array" , items : { type : "object" , properties : { recipeName : { type : "string" }, ingredients : { type : "array" , items : { type : "string" } }, }, required : [ "recipeName" , "ingredients" ], }, }, }, }); console . log ( response . text ); controlled_generation . js Go ctx := context . Background () client , err := genai . NewClient ( ctx , & genai . ClientConfig { APIKey : os . Getenv ( "GEMINI_API_KEY" ), Backend : genai . BackendGeminiAPI , }) if err != nil { log . Fatal ( err ) } schema := & genai . Schema { Type : genai . TypeArray , Items : & genai . Schema { Type : genai . TypeObject , Properties : map [ string ] * genai . Schema { "recipe_name" : { Type : genai . TypeString }, "ingredients" : { Type : genai . TypeArray , Items : & genai . Schema { Type : genai . TypeString }, }, }, Required : [] string { "recipe_name" }, }, } config := & genai . GenerateContentConfig { ResponseMIMEType : "application/json" , ResponseSchema : schema , } response , err := client . Models . GenerateContent ( ctx , "gemini-2.0-flash" , genai . Text ( "List a few popular cookie recipes." ), config , ) if err != nil { log . Fatal ( err ) } printResponse ( response ) controlled_generation . go kabuk curl "https://generativelanguage.googleapis.com/v1beta/models/gemini-2.0-flash:generateContent?key= $GEMINI_API_KEY " \ -H 'Content-Type: application/json' \ -d '{ "contents": [{ "parts":[ {"text": "List 5 popular cookie recipes"} ] }], "generationConfig": { "response_mime_type": "application/json", "response_schema": { "type": "ARRAY", "items": { "type": "OBJECT", "properties": { "recipe_name": {"type":"STRING"}, } } } } }' 2 > /dev/null | head controlled_generation.sh Java Client client = new Client (); Schema recipeSchema = Schema . builder () . type ( Array . class . getSimpleName ()) . items ( Schema . builder () . type ( Object . class . getSimpleName ()) . properties ( Map . of ( "recipe_name" , Schema . builder () . type ( String . class . getSimpleName ()) . build (), "ingredients" , Schema . builder () . type ( Array . class . getSimpleName ()) . items ( Schema . builder () . type ( String . class . getSimpleName ()) . build ()) . build ()) ) . required ( List . of ( "recipe_name" , "ingredients" )) . build ()) . build (); GenerateContentConfig config = GenerateContentConfig . builder () . responseMimeType ( "application/json" ) . responseSchema ( recipeSchema ) . build (); GenerateContentResponse response = client . models . generateContent ( "gemini-2.0-flash" , "List a few popular cookie recipes." , config ); System . out . println ( response . text ()); ControlledGeneration . java Kod yürütme Python from google import genai from google.genai import types client = genai . Client () response = client . models . generate_content ( model = "gemini-2.0-pro-exp-02-05" , contents = ( "Write and execute code that calculates the sum of the first 50 prime numbers. " "Ensure that only the executable code and its resulting output are generated." ), ) # Each part may contain text, executable code, or an execution result. for part in response . candidates [ 0 ] . content . parts : print ( part , " \n " ) print ( "-" * 80 ) # The .text accessor concatenates the parts into a markdown-formatted text. print ( " \n " , response . text ) code_execution . py Go ctx := context . Background () client , err := genai . NewClient ( ctx , & genai . ClientConfig { APIKey : os . Getenv ( "GEMINI_API_KEY" ), Backend : genai . BackendGeminiAPI , }) if err != nil { log . Fatal ( err ) } response , err := client . Models . GenerateContent ( ctx , "gemini-2.0-pro-exp-02-05" , genai . Text ( `Write and execute code that calculates the sum of the first 50 prime numbers. Ensure that only the executable code and its resulting output are generated.` , ), & genai . GenerateContentConfig {}, ) if err != nil { log . Fatal ( err ) } // Print the response. printResponse ( response ) fmt . Println ( "--------------------------------------------------------------------------------" ) fmt . Println ( response . Text ()) code_execution . go Java Client client = new Client (); String prompt = """ Write and execute code that calculates the sum of the first 50 prime numbers. Ensure that only the executable code and its resulting output are generated. """ ; GenerateContentResponse response = client . models . generateContent ( "gemini-2.0-pro-exp-02-05" , prompt , null ); for ( Part part : response . candidates (). get (). getFirst (). content (). get (). parts (). get ()) { System . out . println ( part + "\n" ); } System . out . println ( "-" . repeat ( 80 )); System . out . println ( response . text ()); CodeExecution . java İşlev Çağırma Python from google import genai from google.genai import types client = genai . Client () def add ( a : float , b : float ) - > float : """returns a + b.""" return a + b def subtract ( a : float , b : float ) - > float : """returns a - b.""" return a - b def multiply ( a : float , b : float ) - > float : """returns a * b.""" return a * b def divide ( a : float , b : float ) - > float : """returns a / b.""" return a / b # Create a chat session; function calling (via tools) is enabled in the config. chat = client . chats . create ( model = "gemini-2.0-flash" , config = types . GenerateContentConfig ( tools = [ add , subtract , multiply , divide ]), ) response = chat . send_message ( message = "I have 57 cats, each owns 44 mittens, how many mittens is that in total?" ) print ( response . text ) function_calling . py Go ctx := context . Background () client , err := genai . NewClient ( ctx , & genai . ClientConfig { APIKey : os . Getenv ( "GEMINI_API_KEY" ), Backend : genai . BackendGeminiAPI , }) if err != nil { log . Fatal ( err ) } modelName := "gemini-2.0-flash" // Create the function declarations for arithmetic operations. addDeclaration := createArithmeticToolDeclaration ( "addNumbers" , "Return the result of adding two numbers." ) subtractDeclaration := createArithmeticToolDeclaration ( "subtractNumbers" , "Return the result of subtracting the second number from the first." ) multiplyDeclaration := createArithmeticToolDeclaration ( "multiplyNumbers" , "Return the product of two numbers." ) divideDeclaration := createArithmeticToolDeclaration ( "divideNumbers" , "Return the quotient of dividing the first number by the second." ) // Group the function declarations as a tool. tools := [] * genai . Tool { { FunctionDeclarations : [] * genai . FunctionDeclaration { addDeclaration , subtractDeclaration , multiplyDeclaration , divideDeclaration , }, }, } // Create the content prompt. contents := [] * genai . Content { genai . NewContentFromText ( "I have 57 cats, each owns 44 mittens, how many mittens is that in total?" , genai . RoleUser , ), } // Set up the generate content configuration with function calling enabled. config := & genai . GenerateContentConfig { Tools : tools , ToolConfig : & genai . ToolConfig { FunctionCallingConfig : & genai . FunctionCallingConfig { // The mode equivalent to FunctionCallingConfigMode.ANY in JS. Mode : genai . FunctionCallingConfigModeAny , }, }, } genContentResp , err := client . Models . GenerateContent ( ctx , modelName , contents , config ) if err != nil { log . Fatal ( err ) } // Assume the response includes a list of function calls. if len ( genContentResp . FunctionCalls ()) == 0 { log . Println ( "No function call returned from the AI." ) return nil } functionCall := genContentResp . FunctionCalls ()[ 0 ] log . Printf ( "Function call: %+v\n" , functionCall ) // Marshal the Args map into JSON bytes. argsMap , err := json . Marshal ( functionCall . Args ) if err != nil { log . Fatal ( err ) } // Unmarshal the JSON bytes into the ArithmeticArgs struct. var args ArithmeticArgs if err := json . Unmarshal ( argsMap , & args ); err != nil { log . Fatal ( err ) } // Map the function name to the actual arithmetic function. var result float64 switch functionCall . Name { case "addNumbers" : result = add ( args . FirstParam , args . SecondParam ) case "subtractNumbers" : result = subtract ( args . FirstParam , args . SecondParam ) case "multiplyNumbers" : result = multiply ( args . FirstParam , args . SecondParam ) case "divideNumbers" : result = divide ( args . FirstParam , args . SecondParam ) default : return fmt . Errorf ( "unimplemented function: %s" , functionCall . Name ) } log . Printf ( "Function result: %v\n" , result ) // Prepare the final result message as content. resultContents := [] * genai . Content { genai . NewContentFromText ( "The final result is " + fmt . Sprintf ( "%v" , result ), genai . RoleUser ), } // Use GenerateContent to send the final result. finalResponse , err := client . Models . GenerateContent ( ctx , modelName , resultContents , & genai . GenerateContentConfig {}) if err != nil { log . Fatal ( err ) } printResponse ( finalResponse ) function_calling . go Node.js // Make sure to include the following import: // import {GoogleGenAI} from '@google/genai'; const ai = new GoogleGenAI ({ apiKey : process . env . GEMINI_API_KEY }); /** * The add function returns the sum of two numbers. * @param {number} a * @param {number} b * @returns {number} */ function add ( a , b ) { return a + b ; } /** * The subtract function returns the difference (a - b). * @param {number} a * @param {number} b * @returns {number} */ function subtract ( a , b ) { return a - b ; } /** * The multiply function returns the product of two numbers. * @param {number} a * @param {number} b * @returns {number} */ function multiply ( a , b ) { return a * b ; } /** * The divide function returns the quotient of a divided by b. * @param {number} a * @param {number} b * @returns {number} */ function divide ( a , b ) { return a / b ; } const addDeclaration = { name : "addNumbers" , parameters : { type : "object" , description : "Return the result of adding two numbers." , properties : { firstParam : { type : "number" , description : "The first parameter which can be an integer or a floating point number." , }, secondParam : { type : "number" , description : "The second parameter which can be an integer or a floating point number." , }, }, required : [ "firstParam" , "secondParam" ], }, }; const subtractDeclaration = { name : "subtractNumbers" , parameters : { type : "object" , description : "Return the result of subtracting the second number from the first." , properties : { firstParam : { type : "number" , description : "The first parameter." , }, secondParam : { type : "number" , description : "The second parameter." , }, }, required : [ "firstParam" , "secondParam" ], }, }; const multiplyDeclaration = { name : "multiplyNumbers" , parameters : { type : "object" , description : "Return the product of two numbers." , properties : { firstParam : { type : "number" , description : "The first parameter." , }, secondParam : { type : "number" , description : "The second parameter." , }, }, required : [ "firstParam" , "secondParam" ], }, }; const divideDeclaration = { name : "divideNumbers" , parameters : { type : "object" , description : "Return the quotient of dividing the first number by the second." , properties : { firstParam : { type : "number" , description : "The first parameter." , }, secondParam : { type : "number" , description : "The second parameter." , }, }, required : [ "firstParam" , "secondParam" ], }, }; // Step 1: Call generateContent with function calling enabled. const generateContentResponse = await ai . models . generateContent ({ model : "gemini-2.0-flash" , contents : "I have 57 cats, each owns 44 mittens, how many mittens is that in total?" , config : { toolConfig : { functionCallingConfig : { mode : FunctionCallingConfigMode . ANY , }, }, tools : [ { functionDeclarations : [ addDeclaration , subtractDeclaration , multiplyDeclaration , divideDeclaration , ], }, ], }, }); // Step 2: Extract the function call.( // Assuming the response contains a 'functionCalls' array. const functionCall = generateContentResponse . functionCalls && generateContentResponse . functionCalls [ 0 ]; console . log ( functionCall ); // Parse the arguments. const args = functionCall . args ; // Expected args format: { firstParam: number, secondParam: number } // Step 3: Invoke the actual function based on the function name. const functionMapping = { addNumbers : add , subtractNumbers : subtract , multiplyNumbers : multiply , divideNumbers : divide , }; const func = functionMapping [ functionCall . name ]; if ( ! func ) { console . error ( "Unimplemented error:" , functionCall . name ); return generateContentResponse ; } const resultValue = func ( args . firstParam , args . secondParam ); console . log ( "Function result:" , resultValue ); // Step 4: Use the chat API to send the result as the final answer. const chat = ai . chats . create ({ model : "gemini-2.0-flash" }); const chatResponse = await chat . sendMessage ({ message : "The final result is " + resultValue , }); console . log ( chatResponse . text ); return chatResponse ; } function_calling . js kabuk cat > tools.json << EOF { "function_declarations" : [ { "name" : "enable_lights" , "description" : "Turn on the lighting system." } , { "name" : "set_light_color" , "description" : "Set the light color. Lights must be enabled for this to work." , "parameters" : { "type" : "object" , "properties" : { "rgb_hex" : { "type" : "string" , "description" : "The light color as a 6-digit hex string, e.g. ff0000 for red." } } , "required" : [ "rgb_hex" ] } } , { "name" : "stop_lights" , "description" : "Turn off the lighting system." } ] } EOF curl "https://generativelanguage.googleapis.com/v1beta/models/gemini-2.0-flash:generateContent?key= $GEMINI_API_KEY " \ -H 'Content-Type: application/json' \ -d @< ( echo ' { "system_instruction": { "parts": { "text": "You are a helpful lighting system bot. You can turn lights on and off, and you can set the color. Do not perform any other tasks." } }, "tools": [' $( cat tools.json ) '], "tool_config": { "function_calling_config": {"mode": "auto"} }, "contents": { "role": "user", "parts": { "text": "Turn on the lights please." } } } ' ) 2 >/dev/null | sed -n '/"content"/,/"finishReason"/p' function_calling.sh Java Client client = new Client (); FunctionDeclaration addFunction = FunctionDeclaration . builder () . name ( "addNumbers" ) . parameters ( Schema . builder () . type ( "object" ) . properties ( Map . of ( "firstParam" , Schema . builder (). type ( "number" ). description ( "First number" ). build (), "secondParam" , Schema . builder (). type ( "number" ). description ( "Second number" ). build ())) . required ( Arrays . asList ( "firstParam" , "secondParam" )) . build ()) . build (); FunctionDeclaration subtractFunction = FunctionDeclaration . builder () . name ( "subtractNumbers" ) . parameters ( Schema . builder () . type ( "object" ) . properties ( Map . of ( "firstParam" , Schema . builder (). type ( "number" ). description ( "First number" ). build (), "secondParam" , Schema . builder (). type ( "number" ). description ( "Second number" ). build ())) . required ( Arrays . asList ( "firstParam" , "secondParam" )) . build ()) . build (); FunctionDeclaration multiplyFunction = FunctionDeclaration . builder () . name ( "multiplyNumbers" ) . parameters ( Schema . builder () . type ( "object" ) . properties ( Map . of ( "firstParam" , Schema . builder (). type ( "number" ). description ( "First number" ). build (), "secondParam" , Schema . builder (). type ( "number" ). description ( "Second number" ). build ())) . required ( Arrays . asList ( "firstParam" , "secondParam" )) . build ()) . build (); FunctionDeclaration divideFunction = FunctionDeclaration . builder () . name ( "divideNumbers" ) . parameters ( Schema . builder () . type ( "object" ) . properties ( Map . of ( "firstParam" , Schema . builder (). type ( "number" ). description ( "First number" ). build (), "secondParam" , Schema . builder (). type ( "number" ). description ( "Second number" ). build ())) . required ( Arrays . asList ( "firstParam" , "secondParam" )) . build ()) . build (); GenerateContentConfig config = GenerateContentConfig . builder () . toolConfig ( ToolConfig . builder (). functionCallingConfig ( FunctionCallingConfig . builder (). mode ( "ANY" ). build () ). build ()) . tools ( Collections . singletonList ( Tool . builder (). functionDeclarations ( Arrays . asList ( addFunction , subtractFunction , divideFunction , multiplyFunction ) ). build () ) ) . build (); GenerateContentResponse response = client . models . generateContent ( "gemini-2.0-flash" , "I have 57 cats, each owns 44 mittens, how many mittens is that in total?" , config ); if ( response . functionCalls () == null || response . functionCalls (). isEmpty ()) { System . err . println ( "No function call received" ); return null ; } var functionCall = response . functionCalls (). getFirst (); String functionName = functionCall . name (). get (); var arguments = functionCall . args (); Map<String , BiFunction<Double , Double , Double >> functionMapping = new HashMap <> (); functionMapping . put ( "addNumbers" , ( a , b ) - > a + b ); functionMapping . put ( "subtractNumbers" , ( a , b ) - > a - b ); functionMapping . put ( "multiplyNumbers" , ( a , b ) - > a * b ); functionMapping . put ( "divideNumbers" , ( a , b ) - > b != 0 ? a / b : Double . NaN ); BiFunction<Double , Double , Double > function = functionMapping . get ( functionName ); Number firstParam = ( Number ) arguments . get (). get ( "firstParam" ); Number secondParam = ( Number ) arguments . get (). get ( "secondParam" ); Double result = function . apply ( firstParam . doubleValue (), secondParam . doubleValue ()); System . out . println ( result ); FunctionCalling . java Oluşturma yapılandırması Python from google import genai from google.genai import types client = genai . Client () response = client . models . generate_content ( model = "gemini-2.0-flash" , contents = "Tell me a story about a magic backpack." , config = types . GenerateContentConfig ( candidate_count = 1 , stop_sequences = [ "x" ], max_output_tokens = 20 , temperature = 1.0 , ), ) print ( response . text ) configure_model_parameters . py Node.js // Make sure to include the following import: // import {GoogleGenAI} from '@google/genai'; const ai = new GoogleGenAI ({ apiKey : process . env . GEMINI_API_KEY }); const response = await ai . models . generateContent ({ model : "gemini-2.0-flash" , contents : "Tell me a story about a magic backpack." , config : { candidateCount : 1 , stopSequences : [ "x" ], maxOutputTokens : 20 , temperature : 1.0 , }, }); console . log ( response . text ); configure_model_parameters . js Go ctx := context . Background () client , err := genai . NewClient ( ctx , & genai . ClientConfig { APIKey : os . Getenv ( "GEMINI_API_KEY" ), Backend : genai . BackendGeminiAPI , }) if err != nil { log . Fatal ( err ) } // Create local variables for parameters. candidateCount := int32 ( 1 ) maxOutputTokens := int32 ( 20 ) temperature := float32 ( 1.0 ) response , err := client . Models . GenerateContent ( ctx , "gemini-2.0-flash" , genai . Text ( "Tell me a story about a magic backpack." ), & genai . GenerateContentConfig { CandidateCount : candidateCount , StopSequences : [] string { "x" }, MaxOutputTokens : maxOutputTokens , Temperature : & temperature , }, ) if err != nil { log . Fatal ( err ) } printResponse ( response ) configure_model_parameters . go kabuk curl https://generativelanguage.googleapis.com/v1beta/models/gemini-2.0-flash:generateContent?key = $GEMINI_API_KEY \ -H 'Content-Type: application/json' \ -X POST \ -d '{ "contents": [{ "parts":[ {"text": "Explain how AI works"} ] }], "generationConfig": { "stopSequences": [ "Title" ], "temperature": 1.0, "maxOutputTokens": 800, "topP": 0.8, "topK": 10 } }' 2 > /dev/null | grep "text" configure_model_parameters.sh Java Client client = new Client (); GenerateContentConfig config = GenerateContentConfig . builder () . candidateCount ( 1 ) . stopSequences ( List . of ( "x" )) . maxOutputTokens ( 20 ) . temperature ( 1.0F ) . build (); GenerateContentResponse response = client . models . generateContent ( "gemini-2.0-flash" , "Tell me a story about a magic backpack." , config ); System . out . println ( response . text ()); ConfigureModelParameters . java Güvenlik ayarları Python from google import genai from google.genai import types client = genai . Client () unsafe_prompt = ( "I support Martians Soccer Club and I think Jupiterians Football Club sucks! " "Write a ironic phrase about them including expletives." ) response = client . models . generate_content ( model = "gemini-2.0-flash" , contents = unsafe_prompt , config = types . GenerateContentConfig ( safety_settings = [ types . SafetySetting ( category = "HARM_CATEGORY_HATE_SPEECH" , threshold = "BLOCK_MEDIUM_AND_ABOVE" , ), types . SafetySetting ( category = "HARM_CATEGORY_HARASSMENT" , threshold = "BLOCK_ONLY_HIGH" ), ] ), ) try : print ( response . text ) except Exception : print ( "No information generated by the model." ) print ( response . candidates [ 0 ] . safety_ratings ) safety_settings . py Node.js // Make sure to include the following import: // import {GoogleGenAI} from '@google/genai'; const ai = new GoogleGenAI ({ apiKey : process . env . GEMINI_API_KEY }); const unsafePrompt = "I support Martians Soccer Club and I think Jupiterians Football Club sucks! Write a ironic phrase about them including expletives." ; const response = await ai . models . generateContent ({ model : "gemini-2.0-flash" , contents : unsafePrompt , config : { safetySettings : [ { category : "HARM_CATEGORY_HATE_SPEECH" , threshold : "BLOCK_MEDIUM_AND_ABOVE" , }, { category : "HARM_CATEGORY_HARASSMENT" , threshold : "BLOCK_ONLY_HIGH" , }, ], }, }); try { console . log ( "Generated text:" , response . text ); } catch ( error ) { c | 2026-01-13T09:29:59 |
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https://www.telegraph.co.uk/world-news/2026/01/11/iranian-student-shot-head-buried-roadside/#main-content | Iranian student protester shot in back of the head and buried by roadside Jump to content UK News Website of the Year 2024 Search Icon News Sport Business Money Travel Calculators Opinion Ukraine Health Recommended Lifestyle Culture Christmas Charity Appeal Puzzles Podcasts UK Edition US Edition Search Icon Subscribe now Log in See all News UK news UK news home Scotland Wales Northern Ireland Politics Conservatives Labour Lib Dems Reform UK SNP US politics World US News Europe Middle East Asia Australasia Africa South America Donald Trump Health news Defence Science Education Environment Investigations Investigations home Signals Network Contact us Global Health Security Global Health Security home Climate & People Science & Disease Terror & Security Women & Girls Opinion & Analysis Royals King Charles III Queen Camilla Prince William Princess of Wales Prince Harry Duchess of Sussex Sections UK Edition US Edition News News home UK news Politics World Donald Trump Health news Defence Science Education Environment Investigations Global Health Security Royals Sport Sport home Football Rugby Union Cricket Golf F1 Tennis Racing Women's Sport Cycling Boxing Betting More... 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You have 15 articles left to gift, this month. Log in or Subscribe Copy link X Icon twitter Facebook Icon facebook WhatsApp Icon whatsapp email Share article Log in or Subscribe Copy link X Icon twitter Facebook Icon facebook WhatsApp Icon whatsapp email Henry Bodkin in Jerusalem 11 January 2026 3:41pm GMT Related Topics Iran, Middle East Save Comment speech bubble icon Gift this article free Gift article Give full access to this article, free time. You have 15 articles left to gift, this month. Log in or Subscribe Copy link X Icon twitter Facebook Icon facebook WhatsApp Icon whatsapp email Copy link X Icon twitter Facebook Icon facebook WhatsApp Icon whatsapp email When Rubina Aminian’s parents travelled from their home to identify her body, they saw many other young people killed in similar ways Henry Bodkin in Jerusalem 11 January 2026 3:41pm GMT Rubina Aminian, a 23-year-old student in Tehran, joined street protests against the Iranian regime after a day of classes on the textiles programme at Shariati College. If her social media profile is anything to go by, she did so full of optimism and joy. Videos show a young Kurdish woman in love with life: trying on jewellery and lipstick, blowing kisses to the camera. After joining the crowds straight from college on Thursday, she never made it home. By the weekend, her family was forced to bury her beside a deserted road. According to Iran Human Rights, she was shot at close range in the back of the head. When her parents travelled from their home in Kermanshah to Tehran to identify her body, they saw many other young people killed in similar ways, the group said. As Donald Trump continues to threaten military action if the regime kills protesters, evidence is mounting – despite an internet blackout – that it has been doing exactly that for days, with increasing determination and lethality since Thursday. This weekend, IranWire reported accounts from doctors and activists suggesting a hardening of policy by the regime in the middle of last week, marked by protesters being shot in the head and neck on Thursday and Friday nights. The report also cited an increase in accounts of security forces firing down at protesters from rooftops. Following a protest in the Qala Hassan Khan area of Tehran on Thursday, a single surgeon treated six patients shot in the head. None survived. Recommended Teetering Ayatollah has nowhere to turn Read more Graphic footage circulated on social media on Sunday showed a family member holding the crushed metal fragments of a bullet extracted from the head of a loved one. Medics have described hospitals as overwhelmed with dead and wounded patients, and an eye hospital forced into “crisis mode” because of the number of people who had lost one or both eyes. Security forces are said to be firing pellets as well as live ammunition. Footage also emerged on Sunday showing dozens body bags dumped on the roads outside the coroner’s office in Tehran. People were forced to identify their relatives outside, while others crowded around government screens showing the bloodied faces of those killed. The Norway-based NGO Iran Human Rights (IHR) said on Sunday that unverified reports suggest more than 2,000 people may have been killed. It denounced the regime’s sweeping crackdown as a “mass killing” and a “major international crime against the people of Iran”. At the same time, the regime’s language has hardened, shifting its description of demonstrators from “rioters” to “terrorists”. The country’s attorney general has described the protests as an “offence against God”, which carries the death penalty in Iran. According to the Institute for the Study of War, a US-based think tank, the regime is now treating the protests increasingly as a military problem rather than a law enforcement issue. This followed a statement issued on Saturday by the Artesh, Iran’s conventional army, vowing to protect national interests, strategic infrastructure and public property. Sporadic reporting from inside Iran suggests the intensity of repression in small towns and cities has been at least as severe – if not more so – than in major urban centres such as Tehran. The regime does not appear to be sparing young people. After one shooting at a demonstration in Najafabad, parents rushed to a nearby hospital to find the bodies of their children, according to a medical source. “They took their children and buried them in the same clothes,” the source said. “They said they were martyrs and did not need a bath or shroud.” Despite evidence of a sharp escalation in violence towards protesters, large crowds turned out in Tehran on Saturday night Credit : MAHSA / Middle East Images / AFP via Getty Images Protesters reportedly took control of some towns until a heavy military presence stifled demonstrations. According to BBC Persian, the army sent heavy reinforcements into the town of Lushan, posting sentries on every street and alleyway, making movement impossible and inspecting all passers-by. The same situation was reported in Chalus, which had seen large protests but has been under martial law since Saturday with a 6pm curfew. “Security forces with machine guns have been stationed in all the streets,” the report said. Despite evidence of a sharp escalation in violence towards protesters, huge crowds still turned out on Saturday night . On Sunday, Reza Pahlavi, Iran’s crown prince in exile, urged Iranians to continue, suggesting the regime was losing both the manpower and the will to sustain the crackdown. “For the third consecutive night, you have severely weakened Khamenei’s repressive apparatus and his regime,” he said. “Reliable reports indicate the Islamic Republic is facing a severe shortage of mercenaries to confront the millions in the streets, and that many armed and security forces have abandoned their posts or disobeyed orders.” Reza Pahlavi, Iran’s crown prince in exile, has urged Iranians to continue protests He called for another night of protests on Sunday, beginning at 6pm local time, but urged demonstrators to remain in large groups. “Do not separate from one another or from the crowds; and do not take side streets that could endanger your lives.” Evidence suggests the repression continues even after death. When Rubina Aminian’s parents reached Tehran, they were initially told they would not be permitted to take their daughter’s body home, according to Iran Human Rights. They eventually persuaded authorities to release her body, but on returning to the far west of the country found their house surrounded by intelligence agents. When they approached mosques to request a burial ceremony, they were told such services had been forbidden. Rubina was eventually buried beside a road between Kermanshah and Kamyaran. A source close to the family described her as “a young woman full of joy for life and passionate about fashion and clothing design, whose dreams were buried by the violent repression of the Islamic Republic.” Join the conversation Show comments The Telegraph values your comments but kindly requests all posts are on topic, constructive and respectful. Please review our commenting policy . Copy link X Icon twitter Facebook Icon facebook WhatsApp Icon whatsapp email The Telegraph values your comments but kindly requests all posts are on topic, constructive and respectful. Please review our commenting policy . Related Topics Iran, Middle East License this content You need to be a subscriber to join the conversation. Find out more here . Log In Subscribe Advertisement More stories More stories --> --> --> More from News Pupils vote to rename Samuel Pepys house over writer’s ‘abuse of women’ This spineless Government is poised to let China build a huge spy bunker in the heart of London US tells citizens to leave Iran as Trump mulls strikes The British taxpayer is being squeezed to pay for the world’s malcontents Trump slaps 25pc tariffs on countries trading with Iran Mandelson apologises ‘unequivocally’ to Epstein victims More from The Telegraph More from The Telegraph --> --> --> The Telegraph Back to top Follow us on: Facebook icon Instagram icon X icon Snapchat icon LinkedIn icon YouTube icon Download the Telegraph App Recommended Podcasts Syndication and Commissioning Help Centre Betting Branded Content Privacy Reader Prints Theatre Tickets Careers About us Announcements Puzzles Guidelines Terms & Conditions Newsletters Crosswords Tax Strategy Advertising terms Subscribe Cryptic Crossword Modern Slavery Subscription Terms & Conditions Gift Subscriptions Plusword The Chelsea Magazine Company © Telegraph Media Group Holdings Limited 2026 | 2026-01-13T09:29:59 |
https://www.telerik.com/blogs/kendoreact-charts-case-study-designer-developer-collaboration-survey-report | KendoReact Charts Case Study: Designer-Developer Survey skip navigation KendoReact Product Bundles DevCraft All Telerik .NET tools and Kendo UI JavaScript components in one package. Now enhanced with: MCP Servers Embedded Reporting Document Processing Libraries SSO Account Sign-in Web Kendo UI UI for Angular UI for Vue UI for jQuery KendoReact UI for Blazor UI for ASP.NET Core UI for ASP.NET MVC UI for ASP.NET AJAX Mobile UI for .NET MAUI Document Management Telerik Document Processing Desktop UI for .NET MAUI UI for WinUI UI for WinForms UI for WPF Reporting Telerik Reporting Telerik Report Server Testing & Mocking Test Studio Telerik JustMock CMS Sitefinity AI Productivity Tools MCP Servers UI/UX Tools ThemeBuilder Design System Kit Templates and Building Blocks Debugging Fiddler Fiddler Everywhere Fiddler Classic Fiddler Everywhere Reporter FiddlerCore Free Tools KendoReact Free VB.NET to C# Converter Testing Framework View all products Overview Frameworks jQuery Angular React Vue Docs & Demos Get Started Resources Support Support and Learning Hub Video Onboarding Forums Knowledge Base Submit a Ticket Feedback Portal Contact Us Resources Docs & Demos Blogs Latest Release Roadmap Changelog Accessibility Trust Center FAQ Free Assets and Tools KendoReact Free ThemeBuilder Free Figma UI Kits Design System Documentation Visual Studio Code Extensions Project Tracker Page Template Design and Productivity Tools ThemeBuilder Building Blocks and Page Templates Embedded Reporting Pricing Shopping cart Your Account Account Overview Your Licenses Downloads Support Center Forum Profile Payment Methods Edit Profile Log out Login Install Now close mobile menu KendoReact Charts Case Study: The Designer-Developer Collaboration Survey Report by Kathryn Grayson Nanz Last Updated: June 17, 2025 Published: December 03, 2024 6 min read Web , React 0 Comments If you want a quick and easy way to start integrating beautiful, responsive and fully accessible charts into your React apps, look no further than KendoReact. Any developer will tell you that one of the most painful things in the world to code from scratch are charts. Complicated, difficult to make responsive and all around finicky, I can think of about a thousand things I’d rather do instead of building charts from scratch—and most of those things aren’t very fun, either. Which is why, when sitting down to create the State of Designer-Developer Collaboration Survey Results page, I was immensely grateful to be able to reach for our Progress Kendo React Charts . As I sat down with the team to start planning the page, I realized I was going to need to build 47 charts in total! All of those charts needed to be: Fully responsive, out of the box. I absolutely didn’t have time to tinker with individual breakpoints for 47 charts, and I don’t even want to imagine what that CSS would look like. Easy to customize to fit our brand color scheme—ideally all at once (because again … 47 charts). Accessible so that all our users could understand/interact with the content in all 47 charts. Quick to create, since—by the way—did I mention that I needed to make 47 of these??? Okay, so … maybe I was a little intimidated by the scope and scale of this task. The deadline was coming up quick, and I needed to get to work. Read on to see how the KendoReact charts held up in my assessment, based on those four main priorities. Spoiler alert: I was pretty happy with them. Responsiveness In 2024, responsiveness is one of those things that’s truly non-optional. Everyone is accessing the web from their phone, tablet, car, screen on the front of their refrigerator—you name it. And yet, charts and data visualizations are one of the few things that seem to have slipped through the cracks on responsive performance; there are still a truly surprising number of charts on the web that aren’t readable or usable if you’re not on a full-sized screen. Even setting aside the mobile device (and other small screen) users, we had some questions that were related. Since those charts needed to enable folks to compare the results, they needed to be presented side-by-side. That meant that even on a full screen, the individual charts would still (in many cases) be “half” size. Responsiveness was truly non-negotiable here. Thankfully, that’s also a non-issue with the KendoReact Charts. As soon as you drop them in, they’re automatically responsive, no further adjustments needed. In many cases, I did specify a height on the bar charts, to make sure there was enough space between the bars—but that was primarily a visual preference (the charts did not require that in order to be responsive). It also wasn’t too hard, only requiring adding a height to the Chart parent element: < Chart style = {{height: 200 }}> Customization As you can see from a quick visit to the report site, there was a pretty strong brand identity that we needed to match with the visual design of these charts. Progress, like most other companies, has a very specific style guide. Anything we wanted to put on this page needed to look cohesive with the design of other pages on the site/the nav menu/etc. Practically, this meant that I needed to be able to customize the fonts and colors of all the charts. Since I needed to handle the visual design of the entire page (not just the charts), I chose to define my styles in Progress ThemeBuilder and just export the Sass. This saved me a ton of time, as compared to writing the Sass by hand—and honestly, I’m pretty handy with CSS, so that’s saying something. By defining all my colors and styles in ThemeBuilder, I could live preview how my charts and other components would look. In addition to the KendoReact components, I also handled all the basic HTML element styling through ThemeBuilder as well: headers, links, bulleted lists, paragraphs, etc. That was a huge help—since (by nature) a report means a lot of text, those basic elements were used around every chart. Being able to style them in the same place as the components and keep all my CSS managed in one place was a huge benefit. Accessibility Because the descriptive sections of the report were mostly plain text, there was very little to worry about from an accessibility standpoint—after all, regular old header and paragraph tags are just about as accessible as it gets. However, charts (as we all know) are a different story. Often, charts on the web are flat images, which means they have to rely entirely on alt text to be understandable to our visually impaired users. If a chart isn’t just an image, it’s often because it has some interactive elements (such as clicking to highlight / isolate specific elements) … but those tend to be difficult—or even impossible—to use if you’re navigating with a keyboard or other alternative input device. The KendoReact charts, on the other hand, don’t have those issues. They’re entirely keyboard-navigable , which means that you can do all the cool interactive stuff with them—no matter what you’re using as an input device. Here’s an example of toggling on and off sections of the pie chart using only the keyboard: On top of that, the charts also play nice with screen readers! Obviously that’s a little harder to capture in a format that can be included in a blog … but I did my best. Here’s a clip of VoiceOver on OS X narrating the point values of a bar chart (also using only keyboard navigation): Often, our users who rely on accessibility features get left behind when it comes to charts and other forms of data visualization. While we can help mitigate inaccessible charts by providing summaries and descriptions, it’s infinitely better if our users can interpret the data themselves—and with KendoReact charts, they can. Speed All those other things are well and good—but only of limited value if it takes hours to create a single chart. If you’re creating them from scratch, it will take ages. Sometimes, even if you’re using a library, the amount of customization and manual adjustment it takes to get what you want means that you’re still not actually saving that much time. The KendoReact charts, however, are quick and easy to implement. If you’re using the ThemeBuilder (as I was) then the high-level styles (fonts and colors) will already be applied as soon as you add the new chart to the page. There was a small upfront investment of time for setting the chart configurations the way I wanted them for this project: customizing the unit types to percentages, removing the x-axis labels on the bar charts and setting the labels to appear to the right of each bar, adjusting where the legend appears in the pie charts, etc. Once that had been done once, though, it was easy enough to duplicate the chart and update the data. Data binding is flexible, and can be handled via arrays or objects, so whatever form you have the data in already, you probably won’t have to change it. Even with the customizations I made, each chart had fewer than 50 lines of code—and that’s including imports and other boilerplate! It’s pretty much plug-and-play; what’s not to love about that? Try Them Yourself! The Kendo UI component libraries combine form and function, offering over 100 intuitive and feature-rich components that are all highly customizable and made with the developer—and end user—experience in mind. If you want a quick and easy way to start integrating beautiful, responsive and fully accessible charts into your React apps, look no further. Check out the KendoReact UI component library , and give it a shot—completely free for 30 days! Of course, make sure you check out our survey results webpage to see all those charts in action—and while you’re there, you’ll certainly want to download the full report to get all the extra data analysis and interesting cross-sections. We think there’s a lot to learn, and it’s packed with helpful tips for improving the collaborative process at your workplace. Try KendoReact Accessibility , Chart , KendoReact , React About the Author Kathryn Grayson Nanz Kathryn Grayson Nanz is a developer advocate at Progress with a passion for React, UI and design and sharing with the community. She started her career as a graphic designer and was told by her Creative Director to never let anyone find out she could code because she’d be stuck doing it forever. She ignored his warning and has never been happier. You can find her writing, blogging, streaming and tweeting about React, design, UI and more. You can find her at @kathryngrayson on Twitter. Related Posts Web Design Design Systems You Can Go Your Own Way: KendoReact Unstyled Mode Design Design Systems Developers Are from Saturn, Designers from Neptune: Survey Results Web React How to Optimize Your Code with React Compiler (Still in Beta) Comments Comments are disabled in preview mode. Please enable JavaScript to view the comments powered by Disqus. 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https://ai.google.dev/api/generate-content?hl=tr#method:-models.streamGenerateContent | Generating content | Gemini API | Google AI for Developers Ana içeriğe atla / English Deutsch Español – América Latina Français Indonesia Italiano Polski Português – Brasil Shqip Tiếng Việt Türkçe Русский עברית العربيّة فارسی हिंदी বাংলা ภาษาไทย 中文 – 简体 中文 – 繁體 日本語 한국어 API anahtarı alma Tarif Defteri Topluluk Oturum aç Dokümanlar API referansı Gemini API Dokümanlar API referansı API anahtarı alma Tarif Defteri Topluluk Genel bakış API sürümleri İşlemler Modeller İçerik oluşturuluyor Canlı API Live Music API Interactions API Simgeler Dosyalar Toplu API Önbelleğe alma Yerleştirmeler Dosya arama Dosya arama mağazaları Doküman Tüm yöntemler Kullanımdan kaldırıldı PaLM (artık kaldırıldı) SDK referansları Python Go TypeScript Java C# Ana Sayfa Gemini API API referansı Geri bildirim gönderin Generating content Gemini API; resim, ses, kod, araç ve daha fazlasını içeren içerik oluşturmayı destekler. Bu özelliklerin her biriyle ilgili ayrıntılar için okumaya devam edin ve göreve odaklanmış örnek kodu inceleyin veya kapsamlı kılavuzları okuyun. Metin oluşturma Görme Ses Yerleştirmeler Uzun bağlam Kod yürütme JSON Modu İşlev çağırma Sistem talimatları Yöntem: models.generateContent Uç nokta Yol parametreleri İstek metni JSON gösterimi Yanıt metni Yetkilendirme kapsamları Örnek istek Metin Resim Ses Video PDF Chat Önbellek Ayarlanmış Model (Tuned Model) JSON Modu Kod yürütme İşlev Çağırma Üretim yapılandırması Güvenlik Ayarları Sistem Talimatı (System Instruction) GenerateContentRequest girişiyle model yanıtı oluşturur. Ayrıntılı kullanım bilgileri için metin oluşturma kılavuzuna bakın. Ayarlanmış modeller de dahil olmak üzere modeller arasındaki giriş özellikleri farklıdır. Ayrıntılar için model kılavuzuna ve ayarlama kılavuzuna bakın. Uç nokta post https: / /generativelanguage.googleapis.com /v1beta /{model=models /*}:generateContent Yol parametreleri model string Zorunlu. Tamamlama oluşturmak için kullanılacak Model öğesinin adı. Biçim: models/{model} . models/{model} biçimindedir. İstek metni İstek içeriği aşağıdaki yapıyla birlikte verileri içerir: Alanlar contents[] object ( Content ) Zorunlu. Modelle yapılan mevcut görüşmenin içeriği. Tek dönüşlü sorgular için bu tek bir örnektir. Sohbet gibi çok turlu sorgular için bu, sohbet geçmişini ve son isteği içeren yinelenen bir alandır. tools[] object ( Tool ) İsteğe bağlı. Bir sonraki yanıtı oluşturmak için Tools Model kullanılabileceklerin listesi. Tool , sistemin Model 'nin bilgisi ve kapsamı dışında bir işlem veya işlemler dizisi gerçekleştirmek için harici sistemlerle etkileşime girmesini sağlayan bir kod parçasıdır. Desteklenen Tool 'ler Function ve codeExecution 'dir. Daha fazla bilgi için İşlev çağırma ve Kod yürütme kılavuzlarına bakın. toolConfig object ( ToolConfig ) İsteğe bağlı. İstekte belirtilen tüm Tool için araç yapılandırması. Kullanım örneği için İşlev çağırma kılavuzuna bakın. safetySettings[] object ( SafetySetting ) İsteğe bağlı. Güvenli olmayan içeriğin engellenmesi için benzersiz SafetySetting örneklerinin listesi. Bu kural GenerateContentRequest.contents ve GenerateContentResponse.candidates üzerinde zorunlu tutulacaktır. Her SafetyCategory türü için birden fazla ayar olmamalıdır. API, bu ayarlarda belirlenen eşikleri karşılamayan tüm içerikleri ve yanıtları engeller. Bu liste, safetySettings içinde belirtilen her SafetyCategory için varsayılan ayarları geçersiz kılar. Listede belirli bir SafetyCategory için SafetySetting yoksa API, bu kategori için varsayılan güvenlik ayarını kullanır. HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY zarar kategorileri desteklenir. Kullanılabilen güvenlik ayarları hakkında ayrıntılı bilgi için kılavuza bakın. Ayrıca, yapay zeka uygulamalarınıza güvenlik unsurlarını nasıl dahil edeceğinizi öğrenmek için Güvenlik rehberine de göz atın. systemInstruction object ( Content ) İsteğe bağlı. Geliştirici tarafından belirlenen sistem talimatları . Şu anda yalnızca metin desteklenmektedir. generationConfig object ( GenerationConfig ) İsteğe bağlı. Model oluşturma ve çıkışlarla ilgili yapılandırma seçenekleri. cachedContent string İsteğe bağlı. Tahmini sunmak için bağlam olarak kullanılacak önbelleğe alınan içeriğin adı. Biçim: cachedContents/{cachedContent} Örnek istek Metin Python from google import genai client = genai . Client () response = client . models . generate_content ( model = "gemini-2.0-flash" , contents = "Write a story about a magic backpack." ) print ( response . text ) text_generation . py Node.js // Make sure to include the following import: // import {GoogleGenAI} from '@google/genai'; const ai = new GoogleGenAI ({ apiKey : process . env . GEMINI_API_KEY }); const response = await ai . models . generateContent ({ model : "gemini-2.0-flash" , contents : "Write a story about a magic backpack." , }); console . log ( response . text ); text_generation . js Go ctx := context . Background () client , err := genai . NewClient ( ctx , & genai . ClientConfig { APIKey : os . Getenv ( "GEMINI_API_KEY" ), Backend : genai . BackendGeminiAPI , }) if err != nil { log . Fatal ( err ) } contents := [] * genai . Content { genai . NewContentFromText ( "Write a story about a magic backpack." , genai . RoleUser ), } response , err := client . Models . GenerateContent ( ctx , "gemini-2.0-flash" , contents , nil ) if err != nil { log . Fatal ( err ) } printResponse ( response ) text_generation . go kabuk curl "https://generativelanguage.googleapis.com/v1beta/models/gemini-2.0-flash:generateContent?key= $GEMINI_API_KEY " \ -H 'Content-Type: application/json' \ -X POST \ -d '{ "contents": [{ "parts":[{"text": "Write a story about a magic backpack."}] }] }' 2 > /dev/null text_generation.sh Java Client client = new Client (); GenerateContentResponse response = client . models . generateContent ( "gemini-2.0-flash" , "Write a story about a magic backpack." , null ); System . out . println ( response . text ()); TextGeneration . java Resim Python from google import genai import PIL.Image client = genai . Client () organ = PIL . Image . open ( media / "organ.jpg" ) response = client . models . generate_content ( model = "gemini-2.0-flash" , contents = [ "Tell me about this instrument" , organ ] ) print ( response . text ) text_generation . py Node.js // Make sure to include the following import: // import {GoogleGenAI} from '@google/genai'; const ai = new GoogleGenAI ({ apiKey : process . env . GEMINI_API_KEY }); const organ = await ai . files . upload ({ file : path . join ( media , "organ.jpg" ), }); const response = await ai . models . generateContent ({ model : "gemini-2.0-flash" , contents : [ createUserContent ([ "Tell me about this instrument" , createPartFromUri ( organ . uri , organ . mimeType ) ]), ], }); console . log ( response . text ); text_generation . js Go ctx := context . Background () client , err := genai . NewClient ( ctx , & genai . ClientConfig { APIKey : os . Getenv ( "GEMINI_API_KEY" ), Backend : genai . BackendGeminiAPI , }) if err != nil { log . Fatal ( err ) } file , err := client . Files . UploadFromPath ( ctx , filepath . Join ( getMedia (), "organ.jpg" ), & genai . UploadFileConfig { MIMEType : "image/jpeg" , }, ) if err != nil { log . Fatal ( err ) } parts := [] * genai . Part { genai . NewPartFromText ( "Tell me about this instrument" ), genai . NewPartFromURI ( file . URI , file . MIMEType ), } contents := [] * genai . Content { genai . NewContentFromParts ( parts , genai . RoleUser ), } response , err := client . Models . GenerateContent ( ctx , "gemini-2.0-flash" , contents , nil ) if err != nil { log . Fatal ( err ) } printResponse ( response ) text_generation . go kabuk # Use a temporary file to hold the base64 encoded image data TEMP_B64 = $( mktemp ) trap 'rm -f "$TEMP_B64"' EXIT base64 $B64FLAGS $IMG_PATH > " $TEMP_B64 " # Use a temporary file to hold the JSON payload TEMP_JSON = $( mktemp ) trap 'rm -f "$TEMP_JSON"' EXIT cat > " $TEMP_JSON " << EOF { "contents" : [{ "parts" : [ { "text" : "Tell me about this instrument" } , { "inline_data" : { "mime_type" : "image/jpeg" , "data" : " $( cat " $TEMP_B64 " ) " } } ] }] } EOF curl "https://generativelanguage.googleapis.com/v1beta/models/gemini-2.0-flash:generateContent?key= $GEMINI_API_KEY " \ -H 'Content-Type: application/json' \ -X POST \ -d "@ $TEMP_JSON " 2 > /dev/null text_generation.sh Java Client client = new Client (); String path = media_path + "organ.jpg" ; byte [] imageData = Files . readAllBytes ( Paths . get ( path )); Content content = Content . fromParts ( Part . fromText ( "Tell me about this instrument." ), Part . fromBytes ( imageData , "image/jpeg" )); GenerateContentResponse response = client . models . generateContent ( "gemini-2.0-flash" , content , null ); System . out . println ( response . text ()); TextGeneration . java Ses Python from google import genai client = genai . Client () sample_audio = client . files . upload ( file = media / "sample.mp3" ) response = client . models . generate_content ( model = "gemini-2.0-flash" , contents = [ "Give me a summary of this audio file." , sample_audio ], ) print ( response . text ) text_generation . py Node.js // Make sure to include the following import: // import {GoogleGenAI} from '@google/genai'; const ai = new GoogleGenAI ({ apiKey : process . env . GEMINI_API_KEY }); const audio = await ai . files . upload ({ file : path . join ( media , "sample.mp3" ), }); const response = await ai . models . generateContent ({ model : "gemini-2.0-flash" , contents : [ createUserContent ([ "Give me a summary of this audio file." , createPartFromUri ( audio . uri , audio . mimeType ), ]), ], }); console . log ( response . text ); text_generation . js Go ctx := context . Background () client , err := genai . NewClient ( ctx , & genai . ClientConfig { APIKey : os . Getenv ( "GEMINI_API_KEY" ), Backend : genai . BackendGeminiAPI , }) if err != nil { log . Fatal ( err ) } file , err := client . Files . UploadFromPath ( ctx , filepath . Join ( getMedia (), "sample.mp3" ), & genai . UploadFileConfig { MIMEType : "audio/mpeg" , }, ) if err != nil { log . Fatal ( err ) } parts := [] * genai . Part { genai . NewPartFromText ( "Give me a summary of this audio file." ), genai . NewPartFromURI ( file . URI , file . MIMEType ), } contents := [] * genai . Content { genai . NewContentFromParts ( parts , genai . RoleUser ), } response , err := client . Models . GenerateContent ( ctx , "gemini-2.0-flash" , contents , nil ) if err != nil { log . Fatal ( err ) } printResponse ( response ) text_generation . go kabuk # Use File API to upload audio data to API request. MIME_TYPE = $( file -b --mime-type " ${ AUDIO_PATH } " ) NUM_BYTES = $( wc -c < " ${ AUDIO_PATH } " ) DISPLAY_NAME = AUDIO tmp_header_file = upload-header.tmp # Initial resumable request defining metadata. # The upload url is in the response headers dump them to a file. curl " ${ BASE_URL } /upload/v1beta/files?key= ${ GEMINI_API_KEY } " \ -D upload-header.tmp \ -H "X-Goog-Upload-Protocol: resumable" \ -H "X-Goog-Upload-Command: start" \ -H "X-Goog-Upload-Header-Content-Length: ${ NUM_BYTES } " \ -H "X-Goog-Upload-Header-Content-Type: ${ MIME_TYPE } " \ -H "Content-Type: application/json" \ -d "{'file': {'display_name': ' ${ DISPLAY_NAME } '}}" 2 > /dev/null upload_url = $( grep -i "x-goog-upload-url: " " ${ tmp_header_file } " | cut -d " " -f2 | tr -d "\r" ) rm " ${ tmp_header_file } " # Upload the actual bytes. curl " ${ upload_url } " \ -H "Content-Length: ${ NUM_BYTES } " \ -H "X-Goog-Upload-Offset: 0" \ -H "X-Goog-Upload-Command: upload, finalize" \ --data-binary "@ ${ AUDIO_PATH } " 2 > /dev/null > file_info.json file_uri = $( jq ".file.uri" file_info.json ) echo file_uri = $file_uri curl "https://generativelanguage.googleapis.com/v1beta/models/gemini-2.0-flash:generateContent?key= $GEMINI_API_KEY " \ -H 'Content-Type: application/json' \ -X POST \ -d '{ "contents": [{ "parts":[ {"text": "Please describe this file."}, {"file_data":{"mime_type": "audio/mpeg", "file_uri": ' $file_uri '}}] }] }' 2 > /dev/null > response.json cat response.json echo jq ".candidates[].content.parts[].text" response.json text_generation.sh Video Python from google import genai import time client = genai . Client () # Video clip (CC BY 3.0) from https://peach.blender.org/download/ myfile = client . files . upload ( file = media / "Big_Buck_Bunny.mp4" ) print ( f " { myfile =} " ) # Poll until the video file is completely processed (state becomes ACTIVE). while not myfile . state or myfile . state . name != "ACTIVE" : print ( "Processing video..." ) print ( "File state:" , myfile . state ) time . sleep ( 5 ) myfile = client . files . get ( name = myfile . name ) response = client . models . generate_content ( model = "gemini-2.0-flash" , contents = [ myfile , "Describe this video clip" ] ) print ( f " { response . text =} " ) text_generation . py Node.js // Make sure to include the following import: // import {GoogleGenAI} from '@google/genai'; const ai = new GoogleGenAI ({ apiKey : process . env . GEMINI_API_KEY }); let video = await ai . files . upload ({ file : path . join ( media , 'Big_Buck_Bunny.mp4' ), }); // Poll until the video file is completely processed (state becomes ACTIVE). while ( ! video . state || video . state . toString () !== 'ACTIVE' ) { console . log ( 'Processing video...' ); console . log ( 'File state: ' , video . state ); await sleep ( 5000 ); video = await ai . files . get ({ name : video . name }); } const response = await ai . models . generateContent ({ model : "gemini-2.0-flash" , contents : [ createUserContent ([ "Describe this video clip" , createPartFromUri ( video . uri , video . mimeType ), ]), ], }); console . log ( response . text ); text_generation . js Go ctx := context . Background () client , err := genai . NewClient ( ctx , & genai . ClientConfig { APIKey : os . Getenv ( "GEMINI_API_KEY" ), Backend : genai . BackendGeminiAPI , }) if err != nil { log . Fatal ( err ) } file , err := client . Files . UploadFromPath ( ctx , filepath . Join ( getMedia (), "Big_Buck_Bunny.mp4" ), & genai . UploadFileConfig { MIMEType : "video/mp4" , }, ) if err != nil { log . Fatal ( err ) } // Poll until the video file is completely processed (state becomes ACTIVE). for file . State == genai . FileStateUnspecified || file . State != genai . FileStateActive { fmt . Println ( "Processing video..." ) fmt . Println ( "File state:" , file . State ) time . Sleep ( 5 * time . Second ) file , err = client . Files . Get ( ctx , file . Name , nil ) if err != nil { log . Fatal ( err ) } } parts := [] * genai . Part { genai . NewPartFromText ( "Describe this video clip" ), genai . NewPartFromURI ( file . URI , file . MIMEType ), } contents := [] * genai . Content { genai . NewContentFromParts ( parts , genai . RoleUser ), } response , err := client . Models . GenerateContent ( ctx , "gemini-2.0-flash" , contents , nil ) if err != nil { log . Fatal ( err ) } printResponse ( response ) text_generation . go kabuk # Use File API to upload audio data to API request. MIME_TYPE = $( file -b --mime-type " ${ VIDEO_PATH } " ) NUM_BYTES = $( wc -c < " ${ VIDEO_PATH } " ) DISPLAY_NAME = VIDEO # Initial resumable request defining metadata. # The upload url is in the response headers dump them to a file. curl " ${ BASE_URL } /upload/v1beta/files?key= ${ GEMINI_API_KEY } " \ -D " ${ tmp_header_file } " \ -H "X-Goog-Upload-Protocol: resumable" \ -H "X-Goog-Upload-Command: start" \ -H "X-Goog-Upload-Header-Content-Length: ${ NUM_BYTES } " \ -H "X-Goog-Upload-Header-Content-Type: ${ MIME_TYPE } " \ -H "Content-Type: application/json" \ -d "{'file': {'display_name': ' ${ DISPLAY_NAME } '}}" 2 > /dev/null upload_url = $( grep -i "x-goog-upload-url: " " ${ tmp_header_file } " | cut -d " " -f2 | tr -d "\r" ) rm " ${ tmp_header_file } " # Upload the actual bytes. curl " ${ upload_url } " \ -H "Content-Length: ${ NUM_BYTES } " \ -H "X-Goog-Upload-Offset: 0" \ -H "X-Goog-Upload-Command: upload, finalize" \ --data-binary "@ ${ VIDEO_PATH } " 2 > /dev/null > file_info.json file_uri = $( jq ".file.uri" file_info.json ) echo file_uri = $file_uri state = $( jq ".file.state" file_info.json ) echo state = $state name = $( jq ".file.name" file_info.json ) echo name = $name while [[ "( $state )" = * "PROCESSING" * ]] ; do echo "Processing video..." sleep 5 # Get the file of interest to check state curl https://generativelanguage.googleapis.com/v1beta/files/ $name > file_info.json state = $( jq ".file.state" file_info.json ) done curl "https://generativelanguage.googleapis.com/v1beta/models/gemini-2.0-flash:generateContent?key= $GEMINI_API_KEY " \ -H 'Content-Type: application/json' \ -X POST \ -d '{ "contents": [{ "parts":[ {"text": "Transcribe the audio from this video, giving timestamps for salient events in the video. Also provide visual descriptions."}, {"file_data":{"mime_type": "video/mp4", "file_uri": ' $file_uri '}}] }] }' 2 > /dev/null > response.json cat response.json echo jq ".candidates[].content.parts[].text" response.json text_generation.sh PDF Python from google import genai client = genai . Client () sample_pdf = client . files . upload ( file = media / "test.pdf" ) response = client . models . generate_content ( model = "gemini-2.0-flash" , contents = [ "Give me a summary of this document:" , sample_pdf ], ) print ( f " { response . text =} " ) text_generation . py Go ctx := context . Background () client , err := genai . NewClient ( ctx , & genai . ClientConfig { APIKey : os . Getenv ( "GEMINI_API_KEY" ), Backend : genai . BackendGeminiAPI , }) if err != nil { log . Fatal ( err ) } file , err := client . Files . UploadFromPath ( ctx , filepath . Join ( getMedia (), "test.pdf" ), & genai . UploadFileConfig { MIMEType : "application/pdf" , }, ) if err != nil { log . Fatal ( err ) } parts := [] * genai . Part { genai . NewPartFromText ( "Give me a summary of this document:" ), genai . NewPartFromURI ( file . URI , file . MIMEType ), } contents := [] * genai . Content { genai . NewContentFromParts ( parts , genai . RoleUser ), } response , err := client . Models . GenerateContent ( ctx , "gemini-2.0-flash" , contents , nil ) if err != nil { log . Fatal ( err ) } printResponse ( response ) text_generation . go kabuk MIME_TYPE = $( file -b --mime-type " ${ PDF_PATH } " ) NUM_BYTES = $( wc -c < " ${ PDF_PATH } " ) DISPLAY_NAME = TEXT echo $MIME_TYPE tmp_header_file = upload-header.tmp # Initial resumable request defining metadata. # The upload url is in the response headers dump them to a file. curl " ${ BASE_URL } /upload/v1beta/files?key= ${ GEMINI_API_KEY } " \ -D upload-header.tmp \ -H "X-Goog-Upload-Protocol: resumable" \ -H "X-Goog-Upload-Command: start" \ -H "X-Goog-Upload-Header-Content-Length: ${ NUM_BYTES } " \ -H "X-Goog-Upload-Header-Content-Type: ${ MIME_TYPE } " \ -H "Content-Type: application/json" \ -d "{'file': {'display_name': ' ${ DISPLAY_NAME } '}}" 2 > /dev/null upload_url = $( grep -i "x-goog-upload-url: " " ${ tmp_header_file } " | cut -d " " -f2 | tr -d "\r" ) rm " ${ tmp_header_file } " # Upload the actual bytes. curl " ${ upload_url } " \ -H "Content-Length: ${ NUM_BYTES } " \ -H "X-Goog-Upload-Offset: 0" \ -H "X-Goog-Upload-Command: upload, finalize" \ --data-binary "@ ${ PDF_PATH } " 2 > /dev/null > file_info.json file_uri = $( jq ".file.uri" file_info.json ) echo file_uri = $file_uri # Now generate content using that file curl "https://generativelanguage.googleapis.com/v1beta/models/gemini-2.0-flash:generateContent?key= $GEMINI_API_KEY " \ -H 'Content-Type: application/json' \ -X POST \ -d '{ "contents": [{ "parts":[ {"text": "Can you add a few more lines to this poem?"}, {"file_data":{"mime_type": "application/pdf", "file_uri": ' $file_uri '}}] }] }' 2 > /dev/null > response.json cat response.json echo jq ".candidates[].content.parts[].text" response.json text_generation.sh Sohbet Python from google import genai from google.genai import types client = genai . Client () # Pass initial history using the "history" argument chat = client . chats . create ( model = "gemini-2.0-flash" , history = [ types . Content ( role = "user" , parts = [ types . Part ( text = "Hello" )]), types . Content ( role = "model" , parts = [ types . Part ( text = "Great to meet you. What would you like to know?" ) ], ), ], ) response = chat . send_message ( message = "I have 2 dogs in my house." ) print ( response . text ) response = chat . send_message ( message = "How many paws are in my house?" ) print ( response . text ) chat . py Node.js // Make sure to include the following import: // import {GoogleGenAI} from '@google/genai'; const ai = new GoogleGenAI ({ apiKey : process . env . GEMINI_API_KEY }); const chat = ai . chats . create ({ model : "gemini-2.0-flash" , history : [ { role : "user" , parts : [{ text : "Hello" }], }, { role : "model" , parts : [{ text : "Great to meet you. What would you like to know?" }], }, ], }); const response1 = await chat . sendMessage ({ message : "I have 2 dogs in my house." , }); console . log ( "Chat response 1:" , response1 . text ); const response2 = await chat . sendMessage ({ message : "How many paws are in my house?" , }); console . log ( "Chat response 2:" , response2 . text ); chat . js Go ctx := context . Background () client , err := genai . NewClient ( ctx , & genai . ClientConfig { APIKey : os . Getenv ( "GEMINI_API_KEY" ), Backend : genai . BackendGeminiAPI , }) if err != nil { log . Fatal ( err ) } // Pass initial history using the History field. history := [] * genai . Content { genai . NewContentFromText ( "Hello" , genai . RoleUser ), genai . NewContentFromText ( "Great to meet you. What would you like to know?" , genai . RoleModel ), } chat , err := client . Chats . Create ( ctx , "gemini-2.0-flash" , nil , history ) if err != nil { log . Fatal ( err ) } firstResp , err := chat . SendMessage ( ctx , genai . Part { Text : "I have 2 dogs in my house." }) if err != nil { log . Fatal ( err ) } fmt . Println ( firstResp . Text ()) secondResp , err := chat . SendMessage ( ctx , genai . Part { Text : "How many paws are in my house?" }) if err != nil { log . Fatal ( err ) } fmt . Println ( secondResp . Text ()) chat . go kabuk curl https://generativelanguage.googleapis.com/v1beta/models/gemini-2.0-flash:generateContent?key = $GEMINI_API_KEY \ -H 'Content-Type: application/json' \ -X POST \ -d '{ "contents": [ {"role":"user", "parts":[{ "text": "Hello"}]}, {"role": "model", "parts":[{ "text": "Great to meet you. What would you like to know?"}]}, {"role":"user", "parts":[{ "text": "I have two dogs in my house. How many paws are in my house?"}]}, ] }' 2 > /dev/null | grep "text" chat.sh Java Client client = new Client (); Content userContent = Content . fromParts ( Part . fromText ( "Hello" )); Content modelContent = Content . builder () . role ( "model" ) . parts ( Collections . singletonList ( Part . fromText ( "Great to meet you. What would you like to know?" ) ) ). build (); Chat chat = client . chats . create ( "gemini-2.0-flash" , GenerateContentConfig . builder () . systemInstruction ( userContent ) . systemInstruction ( modelContent ) . build () ); GenerateContentResponse response1 = chat . sendMessage ( "I have 2 dogs in my house." ); System . out . println ( response1 . text ()); GenerateContentResponse response2 = chat . sendMessage ( "How many paws are in my house?" ); System . out . println ( response2 . text ()); ChatSession . java Önbellek Python from google import genai from google.genai import types client = genai . Client () document = client . files . upload ( file = media / "a11.txt" ) model_name = "gemini-1.5-flash-001" cache = client . caches . create ( model = model_name , config = types . CreateCachedContentConfig ( contents = [ document ], system_instruction = "You are an expert analyzing transcripts." , ), ) print ( cache ) response = client . models . generate_content ( model = model_name , contents = "Please summarize this transcript" , config = types . GenerateContentConfig ( cached_content = cache . name ), ) print ( response . text ) cache . py Node.js // Make sure to include the following import: // import {GoogleGenAI} from '@google/genai'; const ai = new GoogleGenAI ({ apiKey : process . env . GEMINI_API_KEY }); const filePath = path . join ( media , "a11.txt" ); const document = await ai . files . upload ({ file : filePath , config : { mimeType : "text/plain" }, }); console . log ( "Uploaded file name:" , document . name ); const modelName = "gemini-1.5-flash-001" ; const contents = [ createUserContent ( createPartFromUri ( document . uri , document . mimeType )), ]; const cache = await ai . caches . create ({ model : modelName , config : { contents : contents , systemInstruction : "You are an expert analyzing transcripts." , }, }); console . log ( "Cache created:" , cache ); const response = await ai . models . generateContent ({ model : modelName , contents : "Please summarize this transcript" , config : { cachedContent : cache . name }, }); console . log ( "Response text:" , response . text ); cache . js Go ctx := context . Background () client , err := genai . NewClient ( ctx , & genai . ClientConfig { APIKey : os . Getenv ( "GEMINI_API_KEY" ), Backend : genai . BackendGeminiAPI , }) if err != nil { log . Fatal ( err ) } modelName := "gemini-1.5-flash-001" document , err := client . Files . UploadFromPath ( ctx , filepath . Join ( getMedia (), "a11.txt" ), & genai . UploadFileConfig { MIMEType : "text/plain" , }, ) if err != nil { log . Fatal ( err ) } parts := [] * genai . Part { genai . NewPartFromURI ( document . URI , document . MIMEType ), } contents := [] * genai . Content { genai . NewContentFromParts ( parts , genai . RoleUser ), } cache , err := client . Caches . Create ( ctx , modelName , & genai . CreateCachedContentConfig { Contents : contents , SystemInstruction : genai . NewContentFromText ( "You are an expert analyzing transcripts." , genai . RoleUser , ), }) if err != nil { log . Fatal ( err ) } fmt . Println ( "Cache created:" ) fmt . Println ( cache ) // Use the cache for generating content. response , err := client . Models . GenerateContent ( ctx , modelName , genai . Text ( "Please summarize this transcript" ), & genai . GenerateContentConfig { CachedContent : cache . Name , }, ) if err != nil { log . Fatal ( err ) } printResponse ( response ) cache . go Tuned Model Python # With Gemini 2 we're launching a new SDK. See the following doc for details. # https://ai.google.dev/gemini-api/docs/migrate README.md JSON Modu Python from google import genai from google.genai import types from typing_extensions import TypedDict class Recipe ( TypedDict ): recipe_name : str ingredients : list [ str ] client = genai . Client () result = client . models . generate_content ( model = "gemini-2.0-flash" , contents = "List a few popular cookie recipes." , config = types . GenerateContentConfig ( response_mime_type = "application/json" , response_schema = list [ Recipe ] ), ) print ( result ) controlled_generation . py Node.js // Make sure to include the following import: // import {GoogleGenAI} from '@google/genai'; const ai = new GoogleGenAI ({ apiKey : process . env . GEMINI_API_KEY }); const response = await ai . models . generateContent ({ model : "gemini-2.0-flash" , contents : "List a few popular cookie recipes." , config : { responseMimeType : "application/json" , responseSchema : { type : "array" , items : { type : "object" , properties : { recipeName : { type : "string" }, ingredients : { type : "array" , items : { type : "string" } }, }, required : [ "recipeName" , "ingredients" ], }, }, }, }); console . log ( response . text ); controlled_generation . js Go ctx := context . Background () client , err := genai . NewClient ( ctx , & genai . ClientConfig { APIKey : os . Getenv ( "GEMINI_API_KEY" ), Backend : genai . BackendGeminiAPI , }) if err != nil { log . Fatal ( err ) } schema := & genai . Schema { Type : genai . TypeArray , Items : & genai . Schema { Type : genai . TypeObject , Properties : map [ string ] * genai . Schema { "recipe_name" : { Type : genai . TypeString }, "ingredients" : { Type : genai . TypeArray , Items : & genai . Schema { Type : genai . TypeString }, }, }, Required : [] string { "recipe_name" }, }, } config := & genai . GenerateContentConfig { ResponseMIMEType : "application/json" , ResponseSchema : schema , } response , err := client . Models . GenerateContent ( ctx , "gemini-2.0-flash" , genai . Text ( "List a few popular cookie recipes." ), config , ) if err != nil { log . Fatal ( err ) } printResponse ( response ) controlled_generation . go kabuk curl "https://generativelanguage.googleapis.com/v1beta/models/gemini-2.0-flash:generateContent?key= $GEMINI_API_KEY " \ -H 'Content-Type: application/json' \ -d '{ "contents": [{ "parts":[ {"text": "List 5 popular cookie recipes"} ] }], "generationConfig": { "response_mime_type": "application/json", "response_schema": { "type": "ARRAY", "items": { "type": "OBJECT", "properties": { "recipe_name": {"type":"STRING"}, } } } } }' 2 > /dev/null | head controlled_generation.sh Java Client client = new Client (); Schema recipeSchema = Schema . builder () . type ( Array . class . getSimpleName ()) . items ( Schema . builder () . type ( Object . class . getSimpleName ()) . properties ( Map . of ( "recipe_name" , Schema . builder () . type ( String . class . getSimpleName ()) . build (), "ingredients" , Schema . builder () . type ( Array . class . getSimpleName ()) . items ( Schema . builder () . type ( String . class . getSimpleName ()) . build ()) . build ()) ) . required ( List . of ( "recipe_name" , "ingredients" )) . build ()) . build (); GenerateContentConfig config = GenerateContentConfig . builder () . responseMimeType ( "application/json" ) . responseSchema ( recipeSchema ) . build (); GenerateContentResponse response = client . models . generateContent ( "gemini-2.0-flash" , "List a few popular cookie recipes." , config ); System . out . println ( response . text ()); ControlledGeneration . java Kod yürütme Python from google import genai from google.genai import types client = genai . Client () response = client . models . generate_content ( model = "gemini-2.0-pro-exp-02-05" , contents = ( "Write and execute code that calculates the sum of the first 50 prime numbers. " "Ensure that only the executable code and its resulting output are generated." ), ) # Each part may contain text, executable code, or an execution result. for part in response . candidates [ 0 ] . content . parts : print ( part , " \n " ) print ( "-" * 80 ) # The .text accessor concatenates the parts into a markdown-formatted text. print ( " \n " , response . text ) code_execution . py Go ctx := context . Background () client , err := genai . NewClient ( ctx , & genai . ClientConfig { APIKey : os . Getenv ( "GEMINI_API_KEY" ), Backend : genai . BackendGeminiAPI , }) if err != nil { log . Fatal ( err ) } response , err := client . Models . GenerateContent ( ctx , "gemini-2.0-pro-exp-02-05" , genai . Text ( `Write and execute code that calculates the sum of the first 50 prime numbers. Ensure that only the executable code and its resulting output are generated.` , ), & genai . GenerateContentConfig {}, ) if err != nil { log . Fatal ( err ) } // Print the response. printResponse ( response ) fmt . Println ( "--------------------------------------------------------------------------------" ) fmt . Println ( response . Text ()) code_execution . go Java Client client = new Client (); String prompt = """ Write and execute code that calculates the sum of the first 50 prime numbers. Ensure that only the executable code and its resulting output are generated. """ ; GenerateContentResponse response = client . models . generateContent ( "gemini-2.0-pro-exp-02-05" , prompt , null ); for ( Part part : response . candidates (). get (). getFirst (). content (). get (). parts (). get ()) { System . out . println ( part + "\n" ); } System . out . println ( "-" . repeat ( 80 )); System . out . println ( response . text ()); CodeExecution . java İşlev Çağırma Python from google import genai from google.genai import types client = genai . Client () def add ( a : float , b : float ) - > float : """returns a + b.""" return a + b def subtract ( a : float , b : float ) - > float : """returns a - b.""" return a - b def multiply ( a : float , b : float ) - > float : """returns a * b.""" return a * b def divide ( a : float , b : float ) - > float : """returns a / b.""" return a / b # Create a chat session; function calling (via tools) is enabled in the config. chat = client . chats . create ( model = "gemini-2.0-flash" , config = types . GenerateContentConfig ( tools = [ add , subtract , multiply , divide ]), ) response = chat . send_message ( message = "I have 57 cats, each owns 44 mittens, how many mittens is that in total?" ) print ( response . text ) function_calling . py Go ctx := context . Background () client , err := genai . NewClient ( ctx , & genai . ClientConfig { APIKey : os . Getenv ( "GEMINI_API_KEY" ), Backend : genai . BackendGeminiAPI , }) if err != nil { log . Fatal ( err ) } modelName := "gemini-2.0-flash" // Create the function declarations for arithmetic operations. addDeclaration := createArithmeticToolDeclaration ( "addNumbers" , "Return the result of adding two numbers." ) subtractDeclaration := createArithmeticToolDeclaration ( "subtractNumbers" , "Return the result of subtracting the second number from the first." ) multiplyDeclaration := createArithmeticToolDeclaration ( "multiplyNumbers" , "Return the product of two numbers." ) divideDeclaration := createArithmeticToolDeclaration ( "divideNumbers" , "Return the quotient of dividing the first number by the second." ) // Group the function declarations as a tool. tools := [] * genai . Tool { { FunctionDeclarations : [] * genai . FunctionDeclaration { addDeclaration , subtractDeclaration , multiplyDeclaration , divideDeclaration , }, }, } // Create the content prompt. contents := [] * genai . Content { genai . NewContentFromText ( "I have 57 cats, each owns 44 mittens, how many mittens is that in total?" , genai . RoleUser , ), } // Set up the generate content configuration with function calling enabled. config := & genai . GenerateContentConfig { Tools : tools , ToolConfig : & genai . ToolConfig { FunctionCallingConfig : & genai . FunctionCallingConfig { // The mode equivalent to FunctionCallingConfigMode.ANY in JS. Mode : genai . FunctionCallingConfigModeAny , }, }, } genContentResp , err := client . Models . GenerateContent ( ctx , modelName , contents , config ) if err != nil { log . Fatal ( err ) } // Assume the response includes a list of function calls. if len ( genContentResp . FunctionCalls ()) == 0 { log . Println ( "No function call returned from the AI." ) return nil } functionCall := genContentResp . FunctionCalls ()[ 0 ] log . Printf ( "Function call: %+v\n" , functionCall ) // Marshal the Args map into JSON bytes. argsMap , err := json . Marshal ( functionCall . Args ) if err != nil { log . Fatal ( err ) } // Unmarshal the JSON bytes into the ArithmeticArgs struct. var args ArithmeticArgs if err := json . Unmarshal ( argsMap , & args ); err != nil { log . Fatal ( err ) } // Map the function name to the actual arithmetic function. var result float64 switch functionCall . Name { case "addNumbers" : result = add ( args . FirstParam , args . SecondParam ) case "subtractNumbers" : result = subtract ( args . FirstParam , args . SecondParam ) case "multiplyNumbers" : result = multiply ( args . FirstParam , args . SecondParam ) case "divideNumbers" : result = divide ( args . FirstParam , args . SecondParam ) default : return fmt . Errorf ( "unimplemented function: %s" , functionCall . Name ) } log . Printf ( "Function result: %v\n" , result ) // Prepare the final result message as content. resultContents := [] * genai . Content { genai . NewContentFromText ( "The final result is " + fmt . Sprintf ( "%v" , result ), genai . RoleUser ), } // Use GenerateContent to send the final result. finalResponse , err := client . Models . GenerateContent ( ctx , modelName , resultContents , & genai . GenerateContentConfig {}) if err != nil { log . Fatal ( err ) } printResponse ( finalResponse ) function_calling . go Node.js // Make sure to include the following import: // import {GoogleGenAI} from '@google/genai'; const ai = new GoogleGenAI ({ apiKey : process . env . GEMINI_API_KEY }); /** * The add function returns the sum of two numbers. * @param {number} a * @param {number} b * @returns {number} */ function add ( a , b ) { return a + b ; } /** * The subtract function returns the difference (a - b). * @param {number} a * @param {number} b * @returns {number} */ function subtract ( a , b ) { return a - b ; } /** * The multiply function returns the product of two numbers. * @param {number} a * @param {number} b * @returns {number} */ function multiply ( a , b ) { return a * b ; } /** * The divide function returns the quotient of a divided by b. * @param {number} a * @param {number} b * @returns {number} */ function divide ( a , b ) { return a / b ; } const addDeclaration = { name : "addNumbers" , parameters : { type : "object" , description : "Return the result of adding two numbers." , properties : { firstParam : { type : "number" , description : "The first parameter which can be an integer or a floating point number." , }, secondParam : { type : "number" , description : "The second parameter which can be an integer or a floating point number." , }, }, required : [ "firstParam" , "secondParam" ], }, }; const subtractDeclaration = { name : "subtractNumbers" , parameters : { type : "object" , description : "Return the result of subtracting the second number from the first." , properties : { firstParam : { type : "number" , description : "The first parameter." , }, secondParam : { type : "number" , description : "The second parameter." , }, }, required : [ "firstParam" , "secondParam" ], }, }; const multiplyDeclaration = { name : "multiplyNumbers" , parameters : { type : "object" , description : "Return the product of two numbers." , properties : { firstParam : { type : "number" , description : "The first parameter." , }, secondParam : { type : "number" , description : "The second parameter." , }, }, required : [ "firstParam" , "secondParam" ], }, }; const divideDeclaration = { name : "divideNumbers" , parameters : { type : "object" , description : "Return the quotient of dividing the first number by the second." , properties : { firstParam : { type : "number" , description : "The first parameter." , }, secondParam : { type : "number" , description : "The second parameter." , }, }, required : [ "firstParam" , "secondParam" ], }, }; // Step 1: Call generateContent with function calling enabled. const generateContentResponse = await ai . models . generateContent ({ model : "gemini-2.0-flash" , contents : "I have 57 cats, each owns 44 mittens, how many mittens is that in total?" , config : { toolConfig : { functionCallingConfig : { mode : FunctionCallingConfigMode . ANY , }, }, tools : [ { functionDeclarations : [ addDeclaration , subtractDeclaration , multiplyDeclaration , divideDeclaration , ], }, ], }, }); // Step 2: Extract the function call.( // Assuming the response contains a 'functionCalls' array. const functionCall = generateContentResponse . functionCalls && generateContentResponse . functionCalls [ 0 ]; console . log ( functionCall ); // Parse the arguments. const args = functionCall . args ; // Expected args format: { firstParam: number, secondParam: number } // Step 3: Invoke the actual function based on the function name. const functionMapping = { addNumbers : add , subtractNumbers : subtract , multiplyNumbers : multiply , divideNumbers : divide , }; const func = functionMapping [ functionCall . name ]; if ( ! func ) { console . error ( "Unimplemented error:" , functionCall . name ); return generateContentResponse ; } const resultValue = func ( args . firstParam , args . secondParam ); console . log ( "Function result:" , resultValue ); // Step 4: Use the chat API to send the result as the final answer. const chat = ai . chats . create ({ model : "gemini-2.0-flash" }); const chatResponse = await chat . sendMessage ({ message : "The final result is " + resultValue , }); console . log ( chatResponse . text ); return chatResponse ; } function_calling . js kabuk cat > tools.json << EOF { "function_declarations" : [ { "name" : "enable_lights" , "description" : "Turn on the lighting system." } , { "name" : "set_light_color" , "description" : "Set the light color. Lights must be enabled for this to work." , "parameters" : { "type" : "object" , "properties" : { "rgb_hex" : { "type" : "string" , "description" : "The light color as a 6-digit hex string, e.g. ff0000 for red." } } , "required" : [ "rgb_hex" ] } } , { "name" : "stop_lights" , "description" : "Turn off the lighting system." } ] } EOF curl "https://generativelanguage.googleapis.com/v1beta/models/gemini-2.0-flash:generateContent?key= $GEMINI_API_KEY " \ -H 'Content-Type: application/json' \ -d @< ( echo ' { "system_instruction": { "parts": { "text": "You are a helpful lighting system bot. You can turn lights on and off, and you can set the color. Do not perform any other tasks." } }, "tools": [' $( cat tools.json ) '], "tool_config": { "function_calling_config": {"mode": "auto"} }, "contents": { "role": "user", "parts": { "text": "Turn on the lights please." } } } ' ) 2 >/dev/null | sed -n '/"content"/,/"finishReason"/p' function_calling.sh Java Client client = new Client (); FunctionDeclaration addFunction = FunctionDeclaration . builder () . name ( "addNumbers" ) . parameters ( Schema . builder () . type ( "object" ) . properties ( Map . of ( "firstParam" , Schema . builder (). type ( "number" ). description ( "First number" ). build (), "secondParam" , Schema . builder (). type ( "number" ). description ( "Second number" ). build ())) . required ( Arrays . asList ( "firstParam" , "secondParam" )) . build ()) . build (); FunctionDeclaration subtractFunction = FunctionDeclaration . builder () . name ( "subtractNumbers" ) . parameters ( Schema . builder () . type ( "object" ) . properties ( Map . of ( "firstParam" , Schema . builder (). type ( "number" ). description ( "First number" ). build (), "secondParam" , Schema . builder (). type ( "number" ). description ( "Second number" ). build ())) . required ( Arrays . asList ( "firstParam" , "secondParam" )) . build ()) . build (); FunctionDeclaration multiplyFunction = FunctionDeclaration . builder () . name ( "multiplyNumbers" ) . parameters ( Schema . builder () . type ( "object" ) . properties ( Map . of ( "firstParam" , Schema . builder (). type ( "number" ). description ( "First number" ). build (), "secondParam" , Schema . builder (). type ( "number" ). description ( "Second number" ). build ())) . required ( Arrays . asList ( "firstParam" , "secondParam" )) . build ()) . build (); FunctionDeclaration divideFunction = FunctionDeclaration . builder () . name ( "divideNumbers" ) . parameters ( Schema . builder () . type ( "object" ) . properties ( Map . of ( "firstParam" , Schema . builder (). type ( "number" ). description ( "First number" ). build (), "secondParam" , Schema . builder (). type ( "number" ). description ( "Second number" ). build ())) . required ( Arrays . asList ( "firstParam" , "secondParam" )) . build ()) . build (); GenerateContentConfig config = GenerateContentConfig . builder () . toolConfig ( ToolConfig . builder (). functionCallingConfig ( FunctionCallingConfig . builder (). mode ( "ANY" ). build () ). build ()) . tools ( Collections . singletonList ( Tool . builder (). functionDeclarations ( Arrays . asList ( addFunction , subtractFunction , divideFunction , multiplyFunction ) ). build () ) ) . build (); GenerateContentResponse response = client . models . generateContent ( "gemini-2.0-flash" , "I have 57 cats, each owns 44 mittens, how many mittens is that in total?" , config ); if ( response . functionCalls () == null || response . functionCalls (). isEmpty ()) { System . err . println ( "No function call received" ); return null ; } var functionCall = response . functionCalls (). getFirst (); String functionName = functionCall . name (). get (); var arguments = functionCall . args (); Map<String , BiFunction<Double , Double , Double >> functionMapping = new HashMap <> (); functionMapping . put ( "addNumbers" , ( a , b ) - > a + b ); functionMapping . put ( "subtractNumbers" , ( a , b ) - > a - b ); functionMapping . put ( "multiplyNumbers" , ( a , b ) - > a * b ); functionMapping . put ( "divideNumbers" , ( a , b ) - > b != 0 ? a / b : Double . NaN ); BiFunction<Double , Double , Double > function = functionMapping . get ( functionName ); Number firstParam = ( Number ) arguments . get (). get ( "firstParam" ); Number secondParam = ( Number ) arguments . get (). get ( "secondParam" ); Double result = function . apply ( firstParam . doubleValue (), secondParam . doubleValue ()); System . out . println ( result ); FunctionCalling . java Oluşturma yapılandırması Python from google import genai from google.genai import types client = genai . Client () response = client . models . generate_content ( model = "gemini-2.0-flash" , contents = "Tell me a story about a magic backpack." , config = types . GenerateContentConfig ( candidate_count = 1 , stop_sequences = [ "x" ], max_output_tokens = 20 , temperature = 1.0 , ), ) print ( response . text ) configure_model_parameters . py Node.js // Make sure to include the following import: // import {GoogleGenAI} from '@google/genai'; const ai = new GoogleGenAI ({ apiKey : process . env . GEMINI_API_KEY }); const response = await ai . models . generateContent ({ model : "gemini-2.0-flash" , contents : "Tell me a story about a magic backpack." , config : { candidateCount : 1 , stopSequences : [ "x" ], maxOutputTokens : 20 , temperature : 1.0 , }, }); console . log ( response . text ); configure_model_parameters . js Go ctx := context . Background () client , err := genai . NewClient ( ctx , & genai . ClientConfig { APIKey : os . Getenv ( "GEMINI_API_KEY" ), Backend : genai . BackendGeminiAPI , }) if err != nil { log . Fatal ( err ) } // Create local variables for parameters. candidateCount := int32 ( 1 ) maxOutputTokens := int32 ( 20 ) temperature := float32 ( 1.0 ) response , err := client . Models . GenerateContent ( ctx , "gemini-2.0-flash" , genai . Text ( "Tell me a story about a magic backpack." ), & genai . GenerateContentConfig { CandidateCount : candidateCount , StopSequences : [] string { "x" }, MaxOutputTokens : maxOutputTokens , Temperature : & temperature , }, ) if err != nil { log . Fatal ( err ) } printResponse ( response ) configure_model_parameters . go kabuk curl https://generativelanguage.googleapis.com/v1beta/models/gemini-2.0-flash:generateContent?key = $GEMINI_API_KEY \ -H 'Content-Type: application/json' \ -X POST \ -d '{ "contents": [{ "parts":[ {"text": "Explain how AI works"} ] }], "generationConfig": { "stopSequences": [ "Title" ], "temperature": 1.0, "maxOutputTokens": 800, "topP": 0.8, "topK": 10 } }' 2 > /dev/null | grep "text" configure_model_parameters.sh Java Client client = new Client (); GenerateContentConfig config = GenerateContentConfig . builder () . candidateCount ( 1 ) . stopSequences ( List . of ( "x" )) . maxOutputTokens ( 20 ) . temperature ( 1.0F ) . build (); GenerateContentResponse response = client . models . generateContent ( "gemini-2.0-flash" , "Tell me a story about a magic backpack." , config ); System . out . println ( response . text ()); ConfigureModelParameters . java Güvenlik ayarları Python from google import genai from google.genai import types client = genai . Client () unsafe_prompt = ( "I support Martians Soccer Club and I think Jupiterians Football Club sucks! " "Write a ironic phrase about them including expletives." ) response = client . models . generate_content ( model = "gemini-2.0-flash" , contents = unsafe_prompt , config = types . GenerateContentConfig ( safety_settings = [ types . SafetySetting ( category = "HARM_CATEGORY_HATE_SPEECH" , threshold = "BLOCK_MEDIUM_AND_ABOVE" , ), types . SafetySetting ( category = "HARM_CATEGORY_HARASSMENT" , threshold = "BLOCK_ONLY_HIGH" ), ] ), ) try : print ( response . text ) except Exception : print ( "No information generated by the model." ) print ( response . candidates [ 0 ] . safety_ratings ) safety_settings . py Node.js // Make sure to include the following import: // import {GoogleGenAI} from '@google/genai'; const ai = new GoogleGenAI ({ apiKey : process . env . GEMINI_API_KEY }); const unsafePrompt = "I support Martians Soccer Club and I think Jupiterians Football Club sucks! Write a ironic phrase about them including expletives." ; const response = await ai . models . generateContent ({ model : "gemini-2.0-flash" , contents : unsafePrompt , config : { safetySettings : [ { category : "HARM_CATEGORY_HATE_SPEECH" , threshold : "BLOCK_MEDIUM_AND_ABOVE" , }, { category : "HARM_CATEGORY_HARASSMENT" , threshold : "BLOCK_ONLY_HIGH" , }, ], }, }); try { console . log ( "Generated text:" , response . text ); } catch ( error ) { c | 2026-01-13T09:29:59 |
https://l.facebook.com/l.php?u=https%3A%2F%2Fwww.meta.ai%2F&h=AT1IKEBFl8fROTwrN0KI9ERREHHPSVmjcqNDbtIDQ_rJ_9DUbksxKD0zvDbtIuTpTCn747HOyeMxmzeQB8ZIt_CUIx5T0mAxThEzu0BAnhA5CAoTOijv7a6gfcmPe9muQth57hrAbfe3XudZ | Facebook Facebook 이메일 또는 휴대폰 비밀번호 계정을 잊으셨나요? 새 계정 만들기 일시적으로 차단됨 일시적으로 차단됨 회원님의 이 기능 사용 속도가 너무 빠른 것 같습니다. 이 기능 사용에서 일시적으로 차단되었습니다. Back 한국어 English (US) Tiếng Việt Bahasa Indonesia ภาษาไทย Español 中文(简体) 日本語 Português (Brasil) Français (France) Deutsch 가입하기 로그인 Messenger Facebook Lite 동영상 Meta Pay Meta 스토어 Meta Quest Ray-Ban Meta Meta AI Meta AI 콘텐츠 더 보기 Instagram Threads 투표 정보 센터 개인정보처리방침 개인정보 보호 센터 정보 광고 만들기 페이지 만들기 개발자 채용 정보 쿠키 AdChoices 이용 약관 고객 센터 연락처 업로드 및 비사용자 설정 활동 로그 Meta © 2026 | 2026-01-13T09:29:59 |
https://www.notion.com/de/web-clipper | Notion Web Clipper für Chrome, Safari, Firefox und Mobilgeräte Notion Funktionen Notion-KI Erschaffen, schreiben, automatisieren Agenten Übernehmen manuelle Aufgaben Enterprise Suche Finde Antworten in Sekundenschnelle Smart Notes Perfekt geschrieben von der KI Dokumente Einfach und leistungsstark Wissensdatenbank Bündle dein Wissen Projekte Verwalte jede Art von Projekt Websites Veröffentliche alles Mögliche im Handumdrehen Loslegen KI-Anwendungsfälle entdecken Schau dir an, wozu die Notion-KI in der Lage ist Marktplatz durchstöbern Vorlagen für alles Mögliche Einbindungen anzeigen Verbinde deine Apps mit Notion Web Clipper herunterladen Speichere Inhalte aus dem Web in Notion Teste die Desktop-App von Notion für mehr Geschwindigkeit App herunterladen Mail Calendar KI Enterprise Tarife Erkunden Teams Entwicklung und Produkt Design Marketing IT Teamgröße Start-ups KMUs Konzerne Bildungswesen Lernen Hilfe-Center Notion Academy Erfahrungsberichte von Kund/-innen Blog Community Partnerprogramme Entwickeln API Vorlagen Sicherheit Beratung Fordere eine Demo an Anmelden Nutze Notion kostenlos Notion Web Clipper Speichere Websites in Notion. Wir helfen dir, deine Ideen umzusetzen. Apple App Store Für Chrome installieren Für Safari installieren Für Firefox installieren Auf dem Desktop Ein Klick, um alles auszuschneiden und in Notion anzuzeigen, online oder offline. Speichere alles mit nur einem Klick Klicke einfach auf das Notion-Logo, um die Seite zu speichern, auf der du dich befindest. Wähle das Ziel Finde einen Ablageort in Notion über das Dropdown-Menü. Mache es machbar Füge Notizen hinzu, teile sie, erstelle Aufgaben aus ihnen. Jeder Inhalt kann getaggt, zugewiesen werden usw. Bleibe organisiert Führe eine Datenbank deiner Clips für zukünftige Referenzen und Projekte. Für iOS und Android In der mobile App ist ein Web Clipper integriert. Du kannst alles mit nur zweimal Tippen speichern. Die Freigabeoptionen im mobilen Browser beinhalten jetzt auch das Speichern in Notion. Mache es zum Teil deines Flows. Tagge alles, was du speicherst, damit du es später einfach wiederfinden und verwenden kannst. Hole das gesamte Web in die Notion-App Der Web Clipper von Notion unterstützt die bekanntesten Websites. Wikipedia NYT Twitter Instagram Pinterest Und mehr… Neu bei Notion? Der Einstieg ist ganz einfach. Apple App Store Registrieren Für Chrome installieren Für Safari installieren Für Firefox installieren Deutsch Cookie-Einstellungen © 2026 Notion Labs, Inc. Unternehmen Über uns Karriere Sicherheit Status Nutzungsbedingungen und Datenschutz Deine Datenschutzrechte Download iOS und Android Mac und Windows Calendar Web Clipper Ressourcen Hilfe-Center Preise Blog Community Einbindungen Vorlagen Partnerprogramme Notion für Unternehmen Kleine Unternehmen Persönlich Mehr entdecken → | 2026-01-13T09:29:59 |
https://play.google.com/store/apps/details?id=notion.id&hl=lv | Notion: Notes, Tasks, AI - Apps on Google Play Games Apps Books Kids google_logo Play Games Apps Books Kids none search help_outline Sign in with Google play_apps Library & devices payment Payments & subscriptions reviews My Play activity redeem Offers Play Pass Personalization in Play settings Settings Privacy Policy • Terms of Service Games Apps Books Kids Notion: Notes, Tasks, AI Notion Labs, Inc. In-app purchases 4.8 star 327K reviews 10M+ Downloads Rated for 3+ info Install Share Add to wishlist About this app arrow_forward Whether you’re looking to track your personal to-do’s, write and organize class notes, or run project management with a team, Notion is the AI-powered workspace that works your way, for any need. Keep track of your personal and professional goals, take notes about what you care about, and stay organized. "AI's everything app" — Forbes Notion is a productivity app where you can write, plan, and organize your notes, projects, tasks and more - all in one place. Ask Notion AI about project updates, upcoming tasks, and suggestions for a more streamlined workflow. Simplify writing notes, project and task management, and collaboration. Whether for personal, student or professional use, Notion scales to meet your individual needs with customization tools for everyone. FREE FOR PERSONAL USE • Create as many notes, docs, and content as you want. • Use one of thousands of templates to get started. FREE TO TRY WITH YOUR TEAM • Millions run on Notion every day, from next-generation startups to established enterprises. • Import Google Docs, PDFs, and other content types easily to get started • Write and organize meeting notes, or transcribe with AI. • Collaboration and team work at your fingertips, in one connected workspace. • Connect tools like Figma, Slack, and GitHub to Notion. FREE FOR STUDENTS • Your study planner, class notes, to do lists and more, your way. Loved by millions of students worldwide. • Get organized for your best school year yet with beautiful, customizable templates created by students, for students. NOTES & DOCS Communication is made efficient with Notion's flexible building blocks. • Create docs with beautiful templates, images, to-dos, and 50+ more content types. • Meeting notes, projects, design systems, pitch decks, and more. • Find exactly what you need using Search with powerful filters to find content across your workspace. TASKS & PROJECTS Catch all details big and small in any workflow. • Workflow manager: Create your own priority labels, status tags, and automations to choose the exact info you want to track. • Capture every detail in a table. Break projects into manageable tasks to get the work done. AI One tool that does it all - search, generate, analyze, and chat - right inside Notion. • Write better. Use Notion AI to help write and brainstorm. • Get answers. Ask Notion AI questions about all your content and get answers in seconds. • Autofill tables. Notion AI turns overwhelming data into clear, actionable information — automatically. SYNCS WITH BROWSER, MAC, AND WINDOWS APPS. • Pick up on mobile where you left off on desktop. MORE PRODUCTIVITY. FEWER TOOLS. • Track to-dos, write notes, create docs, and manage projects in one connected workspace. THINK IT. MAKE IT. Updated on Jan 13, 2026 Productivity Data safety arrow_forward Safety starts with understanding how developers collect and share your data. Data privacy and security practices may vary based on your use, region, and age. The developer provided this information and may update it over time. This app may share these data types with third parties Personal info, App activity and 2 others This app may collect these data types Personal info, Photos and videos and 5 others Data is encrypted in transit You can request that data be deleted See details Ratings and reviews Ratings and reviews are verified info_outline arrow_forward Ratings and reviews are verified info_outline phone_android Phone laptop Chromebook tablet_android Tablet 4.8 319K reviews 5 4 3 2 1 Sommy Nriama more_vert Flag inappropriate Show review history <path d="M12 17.27L1 | 2026-01-13T09:29:59 |
https://www.notion.com/de/product/ai | Entdecke die neue Notion-KI | Notion Notion Funktionen Notion-KI Erschaffen, schreiben, automatisieren Agenten Übernehmen manuelle Aufgaben Enterprise Suche Finde Antworten in Sekundenschnelle Smart Notes Perfekt geschrieben von der KI Dokumente Einfach und leistungsstark Wissensdatenbank Bündle dein Wissen Projekte Verwalte jede Art von Projekt Websites Veröffentliche alles Mögliche im Handumdrehen Loslegen KI-Anwendungsfälle entdecken Schau dir an, wozu die Notion-KI in der Lage ist Marktplatz durchstöbern Vorlagen für alles Mögliche Einbindungen anzeigen Verbinde deine Apps mit Notion Web Clipper herunterladen Speichere Inhalte aus dem Web in Notion Teste die Desktop-App von Notion für mehr Geschwindigkeit App herunterladen Mail Calendar KI Enterprise Tarife Erkunden Teams Entwicklung und Produkt Design Marketing IT Teamgröße Start-ups KMUs Konzerne Bildungswesen Lernen Hilfe-Center Notion Academy Erfahrungsberichte von Kund/-innen Blog Community Partnerprogramme Entwickeln API Vorlagen Sicherheit Beratung Fordere eine Demo an Anmelden Nutze Notion kostenlos Der KI-Workspace, der für dich arbeitet. Die All-in-One-KI, die Notizen macht, Apps durchsucht und Workflows erstellt – genau dort, wo du arbeitest. Nutze Notion kostenlos Demo anfordern Teams vertrauen uns bei Abspielen Oh-oh! Offenbar verhindert dein Werbeblocker, dass das Video abgespielt wird. Deine KI-App für alles. Frühjahr 2024 Eine KI, die alles kann. Loslegen → Zu viele KI-Tools? Berechne hier deine potenziellen Einsparungen. KI-Suche $35/Person KI-Chatbot $20/Person Smart Notes $18/Person KI-Schreibassistent $20/Person KI-E-Mail-App $30/Person KI-Recherche $40/Person Calendar-Terminplanung $15/Person Team-Wiki $10/Person Projektmanagement-Tool $24/Person Basis-CRM $20/Person Website-Ersteller $20/Person Formulare $15/Person Teamgröße Monatliche Einsparungen 0 $ Jährliche Einsparungen 0 $ Dein Notion Agent kann erstellen, bearbeiten und handeln. Bei den meisten KI-Tools hört es bereits bei den Ideen auf. Notion-KI bringt deine Arbeit dagegen über die Ziellinie. Beachtet individuelle Berechtigungen Auf dich persönlich zugeschnitten Verbindet sich mit Tools über MCP Erstelle personalisierte Agenten, um bestimmte Workflows zu automatisieren (in Kürze verfügbar) Hier erfährst du mehr → Schau dir an, was Notion-KI alles kann. Alle Anwendungsfälle entdecken → Vom Brainstorming zur Roadmap Entdecken → Verwandle Meetings ins Social-Media-Beiträge Entdecken → Überarbeite eine Landing Page Entdecken → Kein Warten mehr auf Antworten. Frag einfach die Notion-KI. Enterprise Search findet Antworten in Sekunden Mehr erfahren → Verbinde deine Apps Erhalte Antworten aus Notion-Dokumenten (und PDF-Dateien!) Chatte mit GPT-4.1, Claude 4 und vielen mehr Erstelle detaillierte Dokumente mit dem Recherche-Modus Eine Plattform, auf der du deine gesamte Arbeit erledigen kannst, ist unglaublich leistungsstark. Notion ist diese Plattform. Nick Erdenberger, GTM Dein Texteditor, Übersetzer und Notizenassistent. Sorge mit Smart Notes für ein perfektes Team-Gedächtnis. Mehr erfahren → Erstellen und Bearbeiten von Dokumenten in deinem eigenen Stil Übersetze Dokumente in deine bevorzugte Sprache Erstelle verschiedene Arten von Diagrammen Automatisches Ausfüllen von Datenbanken mit Zusammenfassungen und Einblicken Das ist die cleverste und praktischste KI-Anwendung für die Erstellung von Texten, die ich bislang verwendet habe. Alex Heath, Deputy Editor Behandelt deine Daten vertraulich. Genießt das Vertrauen von Unternehmen. Erfahre mehr über die Sicherheitspraktiken von Notion-KI → Deine Daten werden nicht zu Trainingszwecken verwendet Wir haben vertragliche Vereinbarungen mit unseren KI-Auftragsverarbeitern geschlossen, die den Einsatz von Kundendaten zum Trainieren von Modellen verbieten. Sichere Verschlüsselung Wenn du die Notion-KI verwendest, werden deine Daten während der Übertragung mit TLS 1.2 oder höher verschlüsselt. Erweiterte Berechtigungen Lege genau fest, wer was tun und erstellen darf. DSGVO und CCPA Wir haben unser Datenschutzprogramm an die DSGVO und andere globale Datenschutzbestimmungen angepasst. SOC 2 (Typ 2) Unser Bericht belegt, dass unsere Sicherheitsrichtlinien und -kontrollen kontinuierlich allerhöchste Branchenanforderungen erfüllen. ISO 27001 Notion ist nach ISO 27001 zertifiziert: Nachweis unseres Engagements für höchste Datensicherheit. LLM-Optimierung Notion bewertet ständig Modelle verschiedener Anbieter, sodass du immer das beste Tool für deine Aufgabe erhältst. Sicherheits- und Admin-Tools Schütze deinen Workspace mit Sicherheits-, Compliance-, Analyse- und Audit-Tools. Null Datenspeicherung Bei LLM-Anbietern werden keine Daten gespeichert. 30 Tage Aufbewahrung für Nicht-Unternehmen. Häufig gestellte Fragen Was kostet Notion-KI? Notion-KI ist im Preis der Business und Enterprise Pläne von Notion enthalten. Wenn du keinen dieser Pläne nutzt, steht dir in deinem Workspace eine begrenzte Testversion der Notion-KI-Funktionen zur Verfügung. Wie nutzt die Notion-KI meine Daten? Wir folgen unseren Standard-Datenschutzpraktiken , um deine Daten verschlüsselt und vertraulich zu halten. Notion-KI nutzt deine Daten nicht zum Training unserer Modelle, es sei denn, du stimmst der Weitergabe deiner Daten zu. Alle Informationen, die zur Unterstützung von Notion-KI verwendet werden, werden mit untergeordneten KI-Auftragsverarbeitern geteilt, die ausschließlich dazu dienen, dir die Funktionen von Notion-KI zur Verfügung zu stellen. Wir haben ausdrücklich vertragliche Vereinbarungen mit unseren untergeordneten KI-Auftragsverarbeitern getroffen, die die Verwendung von Kundendaten zum Trainieren ihrer Modelle verbieten. Erfahre hier mehr über die Sicherheits- und Datenschutzpraktiken von Notion-KI . Wobei kann mir Notion-KI helfen? Notion-KI unterstützt dich bei deiner Arbeit, direkt in dem Tool, in dem du arbeitest. Notion-KI kann dir helfen, deinen Workspace und verbundene Apps zu durchsuchen. deine Meeting-Notizen und Transkripte zu automatisieren. umfassende Recherchen zur Erstellung detaillierter Dokumente und Berichte durchzuführen. Inhalte zu erstellen und zu bearbeiten. Inhalte in Hunderten von Datenbankzeilen gleichzeitig automatisch auszufüllen. Inhalte in deine Sprache zu übersetzen. eine Datenbank von Grund auf neu zu erstellen. deinen E-Mail-Posteingang zu sortieren und zu filtern (Notion Mail KI). Um optimale Ergebnisse und eine angemessene Nutzung durch alle Notion-KI-Benutzer/-innen zu gewährleisten, kann dein Zugriff auf KI-Funktionen je nach Nutzungsverhalten vorübergehend eingeschränkt werden. Wie kann ich mehr über Notion-KI erfahren? Weitere Ideen, wie du Notion-KI in deine tägliche Arbeit integrieren kannst, findest du in der Notion Academy oder in unserem Hilfe-Center. Deutsch Cookie-Einstellungen © 2026 Notion Labs, Inc. Unternehmen Über uns Karriere Sicherheit Status Nutzungsbedingungen und Datenschutz Deine Datenschutzrechte Download iOS und Android Mac und Windows Calendar Web Clipper Ressourcen Hilfe-Center Preise Blog Community Einbindungen Vorlagen Partnerprogramme Notion für Unternehmen Kleine Unternehmen Persönlich Mehr entdecken → | 2026-01-13T09:29:59 |
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https://huggingface.co/datasets/marin-community/open-thoughts-4-30k-math-qwen3-32b-annotated-32768-tokens/viewer/default/train?p=0 | marin-community/open-thoughts-4-30k-math-qwen3-32b-annotated-32768-tokens · Datasets at Hugging Face \nOkay, so I need to find the probability that when flipping a fair coin 10 times, the longest run of consecutive heads is exactly 4. Hmm, let me think about how to approach this.\n\nFirst, I know that the total number of possible outcomes is 2^10, which is 1024. So the denominator of my probability will be 1024. The challenge is figuring out the numerator, which is the number of sequences of 10 coin flips where the longest run of heads is exactly 4.\n\nI remember that problems involving runs can sometimes be tackled using recursion or dynamic programming. Maybe I can use recursion here. Let me try to recall how that works.\n\nLet me denote by a_n the number of sequences of n flips where the longest run of heads is at most k. But in this case, I need the longest run to be exactly 4. So maybe I need to compute the number of sequences with maximum run of heads ≤4 and subtract those with maximum run ≤3. That way, the difference would give me the number of sequences where the maximum run is exactly 4. That sounds like a plan.\n\nSo, if I can compute f(n, k) as the number of sequences of n flips with maximum run of heads ≤k, then the answer I want is f(10, 4) - f(10, 3). Then divide that by 1024.\n\nOkay, so I need to figure out how to compute f(n, k). I think there's a recurrence relation for this. Let me recall. For each position in the sequence, if the last flip is a tail, then the number of sequences is equal to f(n-1, k). If the last flip is a head, then we have to consider how many consecutive heads are there before it. Wait, maybe there's a better way.\n\nI remember that for the number of binary strings of length n with no more than k consecutive 1s, the recurrence is f(n) = f(n-1) + f(n-2) + ... + f(n - k - 1). Wait, no, maybe not exactly. Let me think again.\n\nActually, the standard recurrence for the number of binary strings of length n with no more than k consecutive heads is f(n) = f(n-1) + f(n-2) + ... + f(n - k - 1)? Wait, no, maybe it's f(n) = (f(n-1) * 1) + ... ?\n\nWait, here's a better way. Let me think recursively. Suppose we want to build a sequence of n flips with no run longer than k. The idea is that such a sequence can end with a tail followed by any valid sequence of length n-1, or a head followed by a tail and any valid sequence of length n-2, or two heads followed by a tail and any valid sequence of length n-3, and so on, up to k heads followed by a tail and any valid sequence of length n - (k+1). But if we reach the end of the sequence, we don't need to have a tail after the k heads. Hmm, maybe that complicates things.\n\nAlternatively, there's a standard recurrence relation for this problem. Let me check my memory. If we let f(n) be the number of sequences of length n with no more than k consecutive heads, then the recurrence is f(n) = f(n-1) + f(n-2) + ... + f(n - k - 1). Wait, no, that doesn't seem right. Wait, actually, the standard problem is about no more than k consecutive heads. For example, for k=1, it's no two heads in a row. The recurrence for that is f(n) = f(n-1) + f(n-2). For k=2, it would be f(n) = f(n-1) + f(n-2) + f(n-3)? Wait, maybe not. Let me think.\n\nActually, the correct recurrence is f(n) = f(n-1) + f(n-2) - f(n - k - 1)? No, that doesn't make sense. Wait, here's a better approach. Let me define f(n) as the number of valid sequences of length n ending with a tail, and g(n) as the number ending with a head. Then total sequences would be f(n) + g(n).\n\nFor f(n): If the sequence ends with a tail, then the previous n-1 flips can be any valid sequence, and we add a tail. So f(n) = (f(n-1) + g(n-1)) * 1 (since we add a tail).\n\nFor g(n): If the sequence ends with a head, then we have to consider how many heads are at the end. If we have a run of m heads ending at position n, then the previous flip must be a head, and before that, there must be a tail or the start of the sequence. Wait, maybe another way. If we want to ensure that the run of heads doesn't exceed k, then g(n) can be defined as the number of sequences ending with a head, with the run length of heads at the end being from 1 to k. So, if we have a run of m heads ending at position n, then the (n - m)th position must be a tail, and positions n - m + 1 to n are heads. Therefore, the recurrence for g(n) would be g(n) = g(n - 1) + g(n - 2) + ... + g(n - k), but no, that might not be right.\n\nWait, here's a standard approach. Let me recall that for the number of binary strings of length n with no more than k consecutive heads, the recurrence is f(n) = f(n - 1) + f(n - 2) + ... + f(n - k - 1) + 1? No, perhaps not. Wait, actually, let me look up the standard recurrence in my mind. For the Fibonacci-like problem where you can't have two consecutive heads, the recurrence is f(n) = f(n - 1) + f(n - 2). For the case where you can't have more than k consecutive heads, the recurrence is similar but extended. For example, if k=2, then f(n) = f(n - 1) + f(n - 2) + f(n - 3). Wait, let me think of it as follows:\n\nIf you have a valid sequence of length n, then it can end with a tail, followed by any valid sequence of length n - 1. Or it can end with a single head, followed by a valid sequence of length n - 1 ending with a tail. Or it can end with two heads, followed by a valid sequence of length n - 2 ending with a tail. Wait, this seems complicated.\n\nAlternatively, here's a better way. Let me define f(n) as the number of valid sequences of length n with no more than k consecutive heads. Then, to build such a sequence, consider the first occurrence of a tail. However, that might not be straightforward.\n\nWait, here's a standard method. Let me think recursively. Suppose we have a sequence of n flips with no more than k consecutive heads. The sequence can end with a tail, or with 1 head, or with 2 heads, ..., up to k heads. If it ends with a tail, then the number of such sequences is equal to f(n - 1). If it ends with exactly 1 head, then before that head there must be a tail, so the number is equal to f(n - 2). Similarly, if it ends with exactly 2 heads, then before those two heads there must be a tail, so the number is f(n - 3). Continuing this way, if it ends with exactly m heads (where 1 ≤ m ≤ k), then the number is f(n - m - 1). Therefore, the total number is f(n) = f(n - 1) + f(n - 2) + ... + f(n - k - 1). Wait, but when m = k, then it would be f(n - k - 1)? Wait, no. If you have m heads at the end, then before those m heads, there must be a tail. Therefore, the length before that tail is n - m - 1. Therefore, the total number is sum_{i=1}^k f(n - i). But if n - i is less than zero, we need to adjust. Wait, actually, for n ≥ 1, and with appropriate base cases.\n\nWait, let me check for k=1. If k=1, meaning no more than 1 head in a row. Then the recurrence would be f(n) = f(n - 1) + f(n - 2). Because if you end with a tail, you have f(n - 1), and if you end with a single head, you have to have a tail before, so f(n - 2). Which is correct because that's the Fibonacci sequence. Similarly, for k=2, the recurrence would be f(n) = f(n - 1) + f(n - 2) + f(n - 3). Let me check for n=3. For n=3, the number of sequences with no more than 2 heads in a row. Total sequences are 8. The only invalid sequence is HHH, so f(3) = 7. According to the recurrence, if we assume base cases:\n\nLet me define f(0) = 1 (empty sequence), f(1) = 2 (H, T), f(2) = 4 (all except HH? No, wait, with k=2, we allow up to 2 heads. So all sequences are allowed except those with more than 2 heads. For n=2, all sequences are allowed, so f(2)=4. For n=3, f(3) = f(2) + f(1) + f(0) = 4 + 2 + 1 = 7, which matches. So yes, the recurrence seems correct.\n\nTherefore, in general, for the number of sequences of length n with no more than k consecutive heads, the recurrence is f(n) = f(n - 1) + f(n - 2) + ... + f(n - k - 1), with the understanding that f(m) = 0 for m k, f(n) = f(n-1) + ... + f(n -k -1)? Wait, no, for n= k +1, the recurrence would be f(k+1) = f(k) + f(k-1) + ... + f(0). Since f(k) = 2^k, f(k-1)=2^{k-1}, ..., f(0)=1. Therefore, f(k+1) = 2^k + 2^{k-1} + ... + 1. But also, the total number of sequences of length k+1 without more than k heads is 2^{k+1} -1, since only the sequence of all heads is invalid. Therefore, 2^{k+1} -1 should equal 2^k + 2^{k-1} + ... + 1. Let's check for k=2: 2^{3} -1 = 8 -1 =7, and 2^2 + 2^1 + 1 = 4 + 2 + 1 =7. Correct. Therefore, the recurrence holds. Therefore, the general formula is correct.\n\nTherefore, for our problem, we can compute f(n, k) where f(n, k) is the number of sequences of length n with no more than k consecutive heads. The recurrence is f(n, k) = f(n - 1, k) + f(n - 2, k) + ... + f(n - k - 1, k) + ...? Wait, no, more precisely, for each n, f(n, k) = sum_{i=1}^{k+1} f(n - i, k), but with the terms adjusted for n - i ≥ 0. Wait, actually, based on previous, for the recurrence, it's f(n, k) = f(n - 1, k) + f(n - 2, k) + ... + f(n - k - 1, k) ??? Wait, no, earlier we saw that for k=2, the recurrence is f(n) = f(n - 1) + f(n - 2) + f(n - 3). Wait, but k=2, and the number of terms is k + 1? No, for k=2, it's 3 terms. Wait, k + 1? For general k, the recurrence is f(n) = sum_{i=1}^{k+1} f(n - i). Wait, but for k=1, it's f(n) = f(n - 1) + f(n - 2), which is 2 terms, which is k + 1 = 2. For k=2, it's 3 terms. So yes, in general, for the number of sequences of length n with no more than k consecutive heads, the recurrence is f(n) = sum_{i=1}^{k+1} f(n - i), with base cases.\n\nBut actually, when I think about it, the number of terms in the sum is k + 1? Wait, for k=1, the maximum run is 1, so the recurrence is f(n) = f(n - 1) + f(n - 2). The idea is that if you add a head or a tail. But if you add a head, you have to make sure that the previous was a tail. Wait, maybe another way. Let me think again.\n\nActually, another approach is to use the idea that the recurrence is f(n) = f(n - 1) + f(n - 2) - f(n - k - 1). No, not sure. Wait, going back, the correct recurrence is f(n) = f(n - 1) + f(n - 2) + ... + f(n - (k + 1))? No, for k=2, we saw that f(n) = f(n - 1) + f(n - 2) + f(n - 3). Wait, but n - 3 would be for sequences ending with 2 heads followed by a tail? No, maybe not. Wait, let me think of it as follows:\n\nTo build a valid sequence of length n, consider the number of heads at the end. If the sequence ends with a tail, then the number of such sequences is f(n - 1). If it ends with exactly one head, then before that head there must be a tail, so the number is f(n - 2). If it ends with exactly two heads, then before those two heads there must be a tail, so the number is f(n - 3). Continuing this way, if it ends with exactly m heads (where 1 ≤ m ≤ k), then the number is f(n - m - 1). Therefore, the total number is f(n) = f(n - 1) + f(n - 2) + ... + f(n - k - 1). Wait, but when m = k, we have f(n - k - 1)? Wait, if you have m heads at the end, then before that there is a tail, so the length before that tail is n - m - 1? Wait, let's take an example. Suppose n=5, m=2. Then the sequence ends with two heads, so before those two heads there is a tail. Therefore, the total length before that tail is 5 - 2 - 1 = 2? Wait, no. If the sequence ends with two heads, then the third last character must be a tail. Therefore, the length before that tail is n - m - 1? Wait, n - m is the position where the tail is. For example, if n=5, m=2, then the tail is at position 5 - 2 = 3. Then the sequence up to position 3 is arbitrary (as long as valid), then positions 4 and 5 are heads. Therefore, the number of such sequences is f(3). Therefore, in general, for ending with m heads, the number is f(n - m - 1)? No, it's f(n - m - 1)? Wait, if the tail is at position n - m, then the length before that tail is n - m, so it's f(n - m). Therefore, the number of sequences ending with m heads is f(n - m). Therefore, the total number is sum_{m=0}^k f(n - m - 1). Wait, maybe I need to adjust indices.\n\nThis is getting confusing. Let me try with k=2 and n=3. For n=3, sequences with no more than 2 heads. The total is 7. According to the idea above, if we consider sequences ending with 0 heads (i.e., ending with a tail), which would be f(2). Then sequences ending with 1 head: f(1). Sequences ending with 2 heads: f(0). Therefore total is f(2) + f(1) + f(0) = 4 + 2 + 1 = 7. Which is correct. Therefore, in general, f(n) = sum_{m=0}^k f(n - m - 1). But m here is the number of heads at the end, from 0 to k. Wait, m=0 would mean ending with a tail, which would correspond to adding a tail to a sequence of length n - 1. Wait, but in the above example, m=0 would be ending with a tail, so the number is f(n - 1). Then m=1 is ending with 1 head, which requires adding a head to a sequence ending with a tail, so the number is f(n - 2). Similarly, m=2 is ending with 2 heads, which requires adding two heads to a sequence ending with a tail, so the number is f(n - 3). Therefore, in general, for each m from 0 to k, the number is f(n - m - 1). Wait, but m=0 to k would give terms from f(n - 1) down to f(n - k - 1). Therefore, f(n) = sum_{i=1}^{k + 1} f(n - i). Therefore, the recurrence is f(n) = f(n - 1) + f(n - 2) + ... + f(n - k - 1). But with the understanding that if n - i is less than zero, those terms are zero? Or we have base cases?\n\nBut in our example with n=3 and k=2, the terms are f(2) + f(1) + f(0). Which are all valid. So for general n and k, the recurrence is f(n) = sum_{i=1}^{k + 1} f(n - i), with the base cases f(0) = 1, and for n k + 1? Not sure.\n\nWait, let me try for k=1. If k=1, maximum run of 1 head. Then:\n\na_n = a_{n-1} + b_{n-1}\n\nb_n = a_{n-1} (since you can only add a head to a sequence ending with a tail)\n\nTherefore, total f(n) = a_n + b_n = (a_{n-1} + b_{n-1}) + a_{n-1} = f(n - 1) + a_{n - 1}\n\nBut since a_{n - 1} = f(n - 2), because a_{n - 1} = a_{n - 2} + b_{n - 2} = f(n - 2). Therefore, f(n) = f(n - 1) + f(n - 2), which is the Fibonacci recurrence. Correct.\n\nSimilarly, for k=2, let's try:\n\na_n = a_{n - 1} + b_{n - 1}\n\nb_n = a_{n - 1} + b_{n - 1} - d_{n - 1}, where d_{n - 1} is the number of sequences of length n - 1 ending with 2 heads (since adding a head would make it 3, which is invalid). But d_{n - 1} = b_{n - 1} - a_{n - 2}? Not sure. Wait, sequences ending with exactly 2 heads would be equal to the number of sequences of length n - 1 - 2 = n - 3 ending with a tail, followed by two heads. Therefore, d_{n - 1} = a_{n - 3} ?\n\nWait, if you want sequences of length n - 1 ending with exactly 2 heads, then before those two heads, there must be a tail. Therefore, the number is a_{n - 1 - 2} = a_{n - 3}. Therefore, in general, for sequences ending with exactly m heads, it's a_{n - m - 1}.\n\nTherefore, for b_n, which is sequences ending with a head (with run length from 1 to k), we can write b_n = b_{n - 1} + a_{n - 1} - a_{n - k - 1} ?\n\nWait, let me think again. For k=2, to compute b_n:\n\nb_n is the number of sequences ending with a head (with run length 1 or 2). To get this, we can take all sequences of length n - 1 and add a head, but subtract those sequences which would result in a run longer than 2. The number of such sequences is equal to the number of sequences of length n - 1 ending with exactly 2 heads, because adding a head to those would make it 3. But the number of sequences of length n - 1 ending with exactly 2 heads is a_{n - 1 - 2} = a_{n - 3}. Therefore, b_n = (a_{n - 1} + b_{n - 1}) - a_{n - 3} ?\n\nWait, but (a_{n - 1} + b_{n - 1}) is f(n - 1), the total number of sequences of length n - 1. Therefore, b_n = f(n - 1) - a_{n - 3} ?\n\nBut for k=2, let's test with n=3. For n=3, b_3 should be the number of sequences of length 3 ending with a head, with no more than 2 consecutive heads. The total sequences with no more than 2 heads is 7. The number ending with a tail is a_3 = f(2) = 4. Therefore, b_3 = 7 - 4 = 3. According to the formula, b_3 = f(2) - a_{0} = 4 - 1 = 3. Correct. For n=3, a_{n - 3} = a_0 = 1. Correct.\n\nSimilarly, for n=4, b_4 = f(3) - a_{1} = 7 - 2 = 5. Let's check manually. For n=4, sequences ending with a head with no more than 2 consecutive heads. The total sequences with no more than 2 heads is f(4). Let me compute f(4). For n=4, total sequences is 16. The invalid sequences are those with 3 or 4 heads. The number of sequences with 4 heads is 1 (HHHH). The number with exactly 3 heads: there are 2 positions where the tail can be: THHH, HTHH, HHTH, HHHT. But wait, THHH has a run of 3 heads, which is invalid. Similarly for the others. So there are 4 sequences with exactly 3 heads, each containing a run of 3. However, note that HHHH contains multiple runs of 3. But since we are counting sequences with at least one run of 3 or more, inclusion-exclusion might be needed. However, since we already know from the recurrence that f(4) = f(3) + f(2) + f(1) + f(0) ??? Wait, earlier confusion again. Wait, if we use the a_n and b_n approach, let's compute f(4):\n\na_4 = a_3 + b_3 = 4 + 3 = 7\n\nb_4 = f(3) - a_{4 - 3} = f(3) - a_1 = 7 - 2 = 5\n\nTherefore, f(4) = a_4 + b_4 = 7 + 5 = 12. Let's check manually. Total sequences 16. Invalid sequences are those with runs of 3 or more heads. How many are there?\n\nNumber of sequences with at least one run of 3 heads:\n\n- Runs of exactly 3 heads: Let's count them. In 4 flips, a run of 3 can start at position 1 or 2.\n\n- Starting at 1: THHH, HHHT? Wait, starting at 1: HHHx, where x can be H or T. But HHHH has a run of 4, which we'll count separately. So THHH and HHHH. Similarly, starting at position 2: xHHH, where x is T or H. So THHH and HHHH. But THHH is already counted. So total unique sequences with at least one run of 3 heads: THHH, HHHH, HHHT? Wait, HHHT has a run of 3 heads ending at position 3. So yes, HHHT is another one. Similarly, HTHH doesn't have a run of 3. Wait, let's list all sequences with at least one run of 3 heads:\n\n1. THHH\n\n2. HHHT\n\n3. HHHH\n\nAre there others? Let's see:\n\n- HHTH: no\n\n- HTHH: no\n\n- THHT: no\n\n- TTHH: no\n\n- HTTH: no\n\n- THTH: no\n\n- TTTH: no\n\n- TTTT: no\n\n- HHTT: no\n\n- HTHT: no\n\n- HTTH: no\n\n- THHT: no\n\n- THTH: no\n\n- TTHT: no\n\n- TTHH: no\n\n- HTTT: no\n\nWait, only THHH, HHHT, and HHHH. So 3 invalid sequences. Therefore, f(4) = 16 - 3 = 13? But according to our calculation using a_n and b_n, f(4) = 12. Contradiction! There must be an error in my reasoning.\n\nWait, according to the a_n and b_n approach, f(4) = 12. But manual count suggests 13. Where is the mistake?\n\nLet me recalculate using a_n and b_n:\n\nFor n=0: a_0 = 1 (empty sequence ends with... hmm, maybe a_0 is 1 (tail?), but actually, the empty sequence doesn't end with anything. Maybe my definitions are off.\n\nWait, let's re-examine the definitions:\n\na_n: number of valid sequences of length n ending with a tail.\n\nb_n: number of valid sequences of length n ending with a head.\n\nFor n=0: There is 1 sequence (empty sequence). Does it end with a tail or a head? It doesn't end with either. But for the sake of the recurrence, maybe we define a_0 = 1 (considering the empty sequence as ending with a tail?), and b_0 = 0. Let me try that.\n\nSo:\n\nn=0:\n\na_0 = 1\n\nb_0 = 0\n\nf(0) = 1\n\nn=1:\n\na_1 = a_0 + b_0 = 1 + 0 = 1 (sequence T)\n\nb_1 = f(0) - a_{1 - 2} ??? Wait, earlier formula for b_n was b_n = f(n - 1) - a_{n - k - 1} ?\n\nWait, for k=2, b_n = f(n - 1) - a_{n - 3} ?\n\nWait for n=1, k=2:\n\nb_1 = f(0) - a_{1 - 3} = f(0) - a_{-2} ?\n\nBut a_{-2} is 0? Assuming that for negative indices, a_n = 0. Then b_1 = 1 - 0 = 1. Which is correct, since sequences of length 1 ending with a head is 1 (H). Therefore, f(1) = a_1 + b_1 = 1 + 1 = 2. Correct.\n\nn=2:\n\na_2 = a_1 + b_1 = 1 + 1 = 2 (TT, HT?)\n\nWait, no. Wait, a_n is sequences ending with a tail. For n=2, sequences ending with a tail are: TH, TT. So two sequences. Which matches a_2 = 2.\n\nb_2 = f(1) - a_{2 - 3} = f(1) - a_{-1} = 2 - 0 = 2. Which is correct: sequences ending with a head are HT, HH. But wait, with k=2, HH is allowed (run of 2). So yes, b_2 = 2. Therefore, f(2) = 2 + 2 = 4. Correct.\n\nn=3:\n\na_3 = a_2 + b_2 = 2 + 2 = 4\n\nb_3 = f(2) - a_{3 - 3} = f(2) - a_0 = 4 - 1 = 3. Which is correct: sequences ending with a head are THH, HTH, HHT. And also TTH? No, ending with a head. The sequences are THH, HTH, HHT, and HH H? Wait, HH H would be HHH, which is invalid? No, for k=2, runs longer than 2 are invalid. So HHH is invalid. Therefore, sequences of length 3 ending with a head and valid are those without runs longer than 2. So sequences are THH, HTH, HHT, and... is there another? Let's see:\n\nPossible sequences ending with H:\n\n- TTH\n\n- THT\n\n- THH\n\n- HTT\n\n- HTH\n\n- HHT\n\nWait, no, sequences of length 3 ending with H are those where the third flip is H. So:\n\n1. TTH\n\n2. THT\n\nWait no, THT ends with T. Wait:\n\nWait, sequences of length 3 ending with H:\n\nFirst two flips can be anything, last is H. But need to ensure no run longer than 2.\n\nSo:\n\n- TTH: valid\n\n- THT: ends with T, no\n\nWait, no, I need sequences ending with H. So:\n\n- TTH\n\n- THT is not ending with H.\n\nWait, sequences ending with H are:\n\n- TTH\n\n- THT is not, it's THT.\n\nWait, sequences of length 3 ending with H:\n\n- First two flips can be any valid sequence of length 2, followed by H. But since adding H to sequences of length 2 which don't end with two H's? Wait, no, because sequences of length 2 can end with up to two H's (since k=2 is allowed). So adding H to sequences of length 2:\n\nIf you add H to sequences of length 2:\n\n- If the sequence of length 2 ends with T (a_2 = 2: TT, HT), adding H gives TTH, HTH.\n\n- If the sequence of length 2 ends with H (b_2 = 2: TH, HH), adding H gives THH, HHH. But HHH is invalid. Therefore, only THH is valid.\n\nTherefore, total valid sequences ending with H: TTH, HTH, THH. So 3, which matches b_3 = 3. Therefore, f(3) = a_3 + b_3 = 4 + 3 = 7. Correct, as before.\n\nn=4:\n\na_4 = a_3 + b_3 = 4 + 3 = 7\n\nb_4 = f(3) - a_{4 - 3} = f(3) - a_1 = 7 - 1 = 6?\n\nWait, earlier I thought it was f(3) - a_{n - k - 1} where k=2, n=4. So n - k - 1 = 4 - 2 - 1 = 1. So a_1 = 1. Therefore, b_4 = 7 - 1 = 6. Therefore, f(4) = a_4 + b_4 = 7 + 6 = 13. Which matches the manual count (16 total - 3 invalid = 13). Earlier I had a miscalculation where I thought f(4) was 12, but actually it's 13. Great, so the formula works!\n\nTherefore, the formula for b_n is b_n = f(n - 1) - a_{n - k - 1}, where k is the maximum allowed run length. And since f(n - 1) = a_{n - 1} + b_{n - 1}, and a_{n} = a_{n - 1} + b_{n - 1}.\n\nTherefore, with this, we can compute f(n) for any n and k.\n\nSo, applying this, we can build up f(n, k) for k=4 and k=3.\n\nLet me first handle k=4, since we need f(10, 4) and f(10, 3).\n\nStarting with k=4:\n\nWe need to compute f(n) for n from 0 to 10, where f(n) is the number of sequences of length n with no more than 4 consecutive heads.\n\nTo do this, we need to track a_n and b_n for each n.\n\nLet me create tables for a_n, b_n, and f(n) for k=4.\n\nStarting with n=0:\n\na_0 = 1 (assuming empty sequence ends with tail)\n\nb_0 = 0\n\nf(0) = 1\n\nn=1:\n\na_1 = a_0 + b_0 = 1 + 0 = 1\n\nb_1 = f(0) - a_{1 - 4 - 1} = f(0) - a_{-4} = 1 - 0 = 1\n\nf(1) = 1 + 1 = 2\n\nn=2:\n\na_2 = a_1 + b_1 = 1 + 1 = 2\n\nb_2 = f(1) - a_{2 - 4 - 1} = f(1) - a_{-3} = 2 - 0 = 2\n\nf(2) = 2 + 2 = 4\n\nn=3:\n\na_3 = a_2 + b_2 = 2 + 2 = 4\n\nb_3 = f(2) - a_{3 - 4 - 1} = f(2) - a_{-2} = 4 - 0 = 4\n\nf(3) = 4 + 4 = 8\n\nn=4:\n\na_4 = a_3 + b_3 = 4 + 4 = 8\n\nb_4 = f(3) - a_{4 - 4 - 1} = f(3) - a_{-1} = 8 - 0 = 8\n\nf(4) = 8 + 8 = 16\n\nn=5:\n\na_5 = a_4 + b_4 = 8 + 8 = 16\n\nb_5 = f(4) - a_{5 - 4 - 1} = f(4) - a_0 = 16 - 1 = 15\n\nf(5) = 16 + 15 = 31\n\nn=6:\n\na_6 = a_5 + b_5 = 16 + 15 = 31\n\nb_6 = f(5) - a_{6 - 4 - 1} = f(5) - a_1 = 31 - 1 = 30\n\nf(6) = 31 + 30 = 61\n\nn=7:\n\na_7 = a_6 + b_6 = 31 + 30 = 61\n\nb_7 = f(6) - a_{7 - 4 - 1} = f(6) - a_2 = 61 - 2 = 59\n\nf(7) = 61 + 59 = 120\n\nn=8:\n\na_8 = a_7 + b_7 = 61 + 59 = 120\n\nb_8 = f(7) - a_{8 - 4 - 1} = f(7) - a_3 = 120 - 4 = 116\n\nf(8) = 120 + 116 = 236\n\nn=9:\n\na_9 = a_8 + b_8 = 120 + 116 = 236\n\nb_9 = f(8) - a_{9 - 4 - 1} = f(8) - a_4 = 236 - 8 = 228\n\nf(9) = 236 + 228 = 464\n\nn=10:\n\na_10 = a_9 + b_9 = 236 + 228 = 464\n\nb_10 = f(9) - a_{10 - 4 - 1} = f(9) - a_5 = 464 - 16 = 448\n\nf(10) = 464 + 448 = 912\n\nSo for k=4, f(10, 4) = 912.\n\nNow let's do the same for k=3, to compute f(10, 3). The process is similar, but with k=3.\n\nAgain, define a_n and b_n for k=3.\n\nStarting with n=0:\n\na_0 = 1\n\nb_0 = 0\n\nf(0) = 1\n\nn=1:\n\na_1 = a_0 + b_0 = 1 + 0 = 1\n\nb_1 = f(0) - a_{1 - 3 - 1} = f(0) - a_{-3} = 1 - 0 = 1\n\nf(1) = 1 + 1 = 2\n\nn=2:\n\na_2 = a_1 + b_1 = 1 + 1 = 2\n\nb_2 = f(1) - a_{2 - 3 - 1} = f(1) - a_{-2} = 2 - 0 = 2\n\nf(2) = 2 + 2 = 4\n\nn=3:\n\na_3 = a_2 + b_2 = 2 + 2 = 4\n\nb_3 = f(2) - a_{3 - 3 - 1} = f(2) - a_{-1} = 4 - 0 = 4\n\nf(3) = 4 + 4 = 8\n\nn=4:\n\na_4 = a_3 + b_3 = 4 + 4 = 8\n\nb_4 = f(3) - a_{4 - 3 - 1} = f(3) - a_0 = 8 - 1 = 7\n\nf(4) = 8 + 7 = 15\n\nn=5:\n\na_5 = a_4 + b_4 = 8 + 7 = 15\n\nb_5 = f(4) - a_{5 - 3 - 1} = f(4) - a_1 = 15 - 1 = 14\n\nf(5) = 15 + 14 = 29\n\nn=6:\n\na_6 = a_5 + b_5 = 15 + 14 = 29\n\nb_6 = f(5) - a_{6 - 3 - 1} = f(5) - a_2 = 29 - 2 = 27\n\nf(6) = 29 + 27 = 56\n\nn=7:\n\na_7 = a_6 + b_6 = 29 + 27 = 56\n\nb_7 = f(6) - a_{7 - 3 - 1} = f(6) - a_3 = 56 - 4 = 52\n\nf(7) = 56 + 52 = 108\n\nn=8:\n\na_8 = a_7 + b_7 = 56 + 52 = 108\n\nb_8 = f(7) - a_{8 - 3 - 1} = f(7) - a_4 = 108 - 8 = 100\n\nf(8) = 108 + 100 = 208\n\nn=9:\n\na_9 = a_8 + b_8 = 108 + 100 = 208\n\nb_9 = f(8) - a_{9 - 3 - 1} = f(8) - a_5 = 208 - 15 = 193\n\nf(9) = 208 + 193 = 401\n\nn=10:\n\na_10 = a_9 + b_9 = 208 + 193 = 401\n\nb_10 = f(9) - a_{10 - 3 - 1} = f(9) - a_6 = 401 - 29 = 372\n\nf(10) = 401 + 372 = 773\n\nSo for k=3, f(10, 3) = 773.\n\nTherefore, the number of sequences with maximum run of heads exactly 4 is f(10, 4) - f(10, 3) = 912 - 773 = 139.\n\nTherefore, the probability is 139 / 1024.\n\nWait, let me verify these calculations step by step to make sure I didn't make any arithmetic errors.\n\nStarting with k=4:\n\nFor n=5: f(5)=31. Let me check manually? For n=5, total sequences 32. Invalid sequences are those with 5 heads or runs of 4 or 5. The only invalid sequences are those containing HHHH or HHHHH. How many are there?\n\n- HHHHH: 1\n\n- HHHHT, THHHH: 2\n\nSo total invalid sequences: 3. Therefore, valid sequences: 32 - 3 = 29. But according to our calculation, f(5)=31. Wait, discrepancy here! There's a problem. According to our calculation, f(5)=31, but manual count suggests 29. This means there's an error in my earlier calculations.\n\nWait, let me check the calculation for k=4, n=5:\n\nFor k=4, n=5:\n\na_5 = a_4 + b_4 = 8 + 8 = 16\n\nb_5 = f(4) - a_{5 - 4 - 1} = f(4) - a_{0} = 16 - 1 = 15\n\nf(5) = 16 + 15 = 31\n\nBut manual count suggests 29. Where is the mistake?\n\nLet me recount the invalid sequences for n=5 with k=4 (max run ≤4). Wait, since k=4, runs of 5 are invalid, but runs of 4 are allowed. Therefore, invalid sequences are those with 5 consecutive heads. There is only 1 such sequence: HHHHH. Therefore, valid sequences should be 32 - 1 = 31. Which matches the calculation. My earlier manual count was wrong because I considered runs of 4 as invalid, but for k=4, runs of 4 are allowed. So only runs longer than 4 (i.e., 5) are invalid. Therefore, f(5)=31 is correct. My mistake earlier was thinking that runs of 4 are invalid, but they are allowed. Therefore, the calculation is correct. Great.\n\nSimilarly, for n=4, f(4)=16, which is all sequences except HHHH? No, for n=4, with k=4, all sequences are allowed, since maximum run is 4. Therefore, f(4)=16 is correct. For n=5, only HHHHH is invalid, so 32 - 1 = 31. Correct.\n\nTherefore, proceeding with confidence.\n\nSimilarly, for k=3, let's check n=4: f(4)=15. Total sequences 16. Invalid sequences are those with runs of 4 or more heads. For k=3, runs of 4 are invalid. There is 1 such sequence: HHHH. Therefore, valid sequences: 16 - 1 = 15. Which matches f(4)=15. Correct.\n\nFor n=5, k=3: f(5)=29. Total sequences 32. Invalid sequences are those with runs of 4 or 5 heads. How many?\n\n- Runs of 5: 1 (HHHHH)\n\n- Runs of 4: sequences with HHHH. In 5 flips, HHHH can start at position 1 or 2.\n\nStarting at 1: HHHHx, where x can be H or T. But HHHHH is already counted above. So THHHH is another one. Starting at 2: xHHHH, where x can be H or T. So HHHHH and THHHH. So total invalid sequences: 1 (for 5 runs) + 2 (for 4 runs)? Wait, THHHH has a run of 4? No, THHHH has a run of 4 starting at position 2? Wait, THHHH: positions 2-5 are HHHH, which is a run of 4. So yes, THHHH is invalid. Similarly, HHHHT has a run of 4? No, HHHHT has a run of 4 in positions 1-4. So HHHHT is also invalid. Wait, for n=5, sequences with runs of 4 heads:\n\n- HHHHT\n\n- THHHH\n\n- HHHHH\n\nTherefore, 3 invalid sequences. Therefore, valid sequences: 32 - 3 = 29. Which matches f(5)=29. Correct. Therefore, calculations seem correct.\n\nTherefore, proceeding with the numbers:\n\nFor k=4, f(10)=912\n\nFor k=3, f(10)=773\n\nTherefore, the number of sequences with maximum run exactly 4 is 912 - 773 = 139.\n\nTherefore, the probability is 139 / 1024.\n\nBut let me verify the final numbers for k=4 and k=3 at n=10.\n\nFor k=4, f(10)=912. Let me see if there's another way to compute this or cross-verify.\n\nAlternatively, since for k=4, the number of sequences with no more than 4 heads is 912. Given that total sequences is 1024, the number of sequences with at least one run of 5 or more heads is 1024 - 912 = 112. Let me see if that makes sense.\n\nNumber of sequences with at least one run of 5 heads in 10 flips. This can be calculated using inclusion-exclusion, but it might be complex. However, for verification, let's see:\n\nNumber of sequences with a run of 5 heads: There are 6 possible starting positions for a run of 5 heads in 10 flips (positions 1-5, 2-6, ..., 6-10). Each such run can be considered, but overlaps complicate things.\n\nHowever, approximate count: 6 sequences, each contributing 2^{10 - 5} = 32 sequences? No, because when you fix a run of 5 heads, the remaining 5 flips can be anything. But this overcounts sequences with multiple runs.\n\nBut 6 * 2^5 = 6 * 32 = 192. But actual number is 112, so this is higher due to overcounting. Therefore, 1024 - 912 = 112 is plausible. Therefore, trusting the calculation.\n\nSimilarly, for k=3, f(10)=773. Therefore, sequences with max run ≤3 is 773, so sequences with max run ≥4 is 1024 - 773 = 251. Which should include sequences with max run 4, 5, ..., 10. But since we already calculated that sequences with max run ≥5 is 112, then sequences with max run exactly 4 would be 251 - 112 = 139, which matches our previous result. Therefore, this cross-verification works. Therefore, 139 is correct.\n\nTherefore, the probability is 139/1024.\n\nBut let me check if 139 and 1024 have common factors. 139 is a prime number? Let me check. 139 divided by 2, no. 3: 3*46=138, remainder 1. 5: no. 7: 7*19=133, 139-133=6, not divisible. 11: 11*12=132, 139-132=7, no. 13: 13*10=130, 139-130=9, no. So 139 is prime. 1024 is 2^10. Therefore, the fraction reduces to 139/1024.\n\nTherefore, the answer is 139/1024.\n\n**Final Answer**\nThe probability is \\boxed{\\dfrac{139}{1024}}.\n \n\nTo solve the problem of finding the probability that the **longest sequence of consecutive heads** in 10 fair coin flips is **exactly 4**, we proceed as follows:\n\n---\n\n### **Step 1: Total Number of Outcomes**\n\nEach coin flip has 2 possible outcomes (Heads or Tails), and there are 10 flips. Therefore, the total number of possible sequences is:\n\n$$\n2^{10} = 1024\n$$\n\n---\n\n### **Step 2: Define the Problem in Terms of Runs**\n\nWe are interested in the number of sequences where the **longest run of heads is exactly 4**. This means:\n\n- There is **at least one run of 4 heads**.\n- There is **no run of 5 or more heads**.\n\nTo compute this, we use the **inclusion-exclusion principle**:\n\n$$\n\\text{Number of sequences with max run of heads exactly 4} = f(10, 4) - f(10, 3)\n$$\n\nWhere:\n- $ f(n, k) $ is the number of sequences of length $ n $ with **no run of heads longer than $ k $**.\n\n---\n\n### **Step 3: Use Recurrence to Compute $ f(n, k) $**\n\nWe define two auxiliary sequences:\n- $ a_n $: number of valid sequences of length $ n $ ending in a **tail**.\n- $ b_n $: number of valid sequences of length $ n $ ending in a **head**.\n\nThen:\n- $ f(n) = a_n + b_n $\n- $ a_n = a_{n-1} + b_{n-1} $ (add a tail to any valid sequence of length $ n-1 $)\n- $ b_n = f(n-1) - a_{n - k - 1} $ (add a head to all sequences of length $ n-1 $, but subtract those that would create a run longer than $ k $)\n\nWe compute $ f(n, 4) $ and $ f(n, 3) $ for $ n = 10 $ using this recurrence.\n\n---\n\n### **Step 4: Compute $ f(10, 4) $ and $ f(10, 3) $**\n\nUsing the recurrence and base cases $ a_0 = 1, b_0 = 0 $, we compute:\n\n#### For $ k = 4 $:\n$$\nf(10, 4) = 912\n$$\n\n#### For $ k = 3 $:\n$$\nf(10, 3) = 773\n$$\n\n---\n\n### **Step 5: Compute the Desired Count**\n\n$$\n\\text{Number of sequences with max run of heads exactly 4} = f(10, 4) - f(10, 3) = 912 - 773 = 139\n$$\n\n---\n\n### **Step 6: Compute the Probability**\n\n$$\n\\text{Probability} = \\frac{139}{1024}\n$$\n\nSince 139 is a prime number and does not divide 1024, the fraction is already in lowest terms.\n\n---\n\n### **Final Answer**\n\n$$\n\\boxed{\\dfrac{139}{1024}}\n$$"},"conversations":{"kind":"string","value":"\"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 | 2026-01-13T09:29:59 |
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https://play.google.com/store/apps/details?id=notion.id&hl=ln | Notion: Notes, Tasks, AI - Apps on Google Play Games Apps Books Kids google_logo Play Games Apps Books Kids none search help_outline Sign in with Google play_apps Library & devices payment Payments & subscriptions reviews My Play activity redeem Offers Play Pass Personalization in Play settings Settings Privacy Policy • Terms of Service Games Apps Books Kids Notion: Notes, Tasks, AI Notion Labs, Inc. In-app purchases 4.8 star 327K reviews 10M+ Downloads Rated for 3+ info Install Share Add to wishlist About this app arrow_forward Whether you’re looking to track your personal to-do’s, write and organize class notes, or run project management with a team, Notion is the AI-powered workspace that works your way, for any need. Keep track of your personal and professional goals, take notes about what you care about, and stay organized. "AI's everything app" — Forbes Notion is a productivity app where you can write, plan, and organize your notes, projects, tasks and more - all in one place. Ask Notion AI about project updates, upcoming tasks, and suggestions for a more streamlined workflow. Simplify writing notes, project and task management, and collaboration. Whether for personal, student or professional use, Notion scales to meet your individual needs with customization tools for everyone. FREE FOR PERSONAL USE • Create as many notes, docs, and content as you want. • Use one of thousands of templates to get started. FREE TO TRY WITH YOUR TEAM • Millions run on Notion every day, from next-generation startups to established enterprises. • Import Google Docs, PDFs, and other content types easily to get started • Write and organize meeting notes, or transcribe with AI. • Collaboration and team work at your fingertips, in one connected workspace. • Connect tools like Figma, Slack, and GitHub to Notion. FREE FOR STUDENTS • Your study planner, class notes, to do lists and more, your way. Loved by millions of students worldwide. • Get organized for your best school year yet with beautiful, customizable templates created by students, for students. NOTES & DOCS Communication is made efficient with Notion's flexible building blocks. • Create docs with beautiful templates, images, to-dos, and 50+ more content types. • Meeting notes, projects, design systems, pitch decks, and more. • Find exactly what you need using Search with powerful filters to find content across your workspace. TASKS & PROJECTS Catch all details big and small in any workflow. • Workflow manager: Create your own priority labels, status tags, and automations to choose the exact info you want to track. • Capture every detail in a table. Break projects into manageable tasks to get the work done. AI One tool that does it all - search, generate, analyze, and chat - right inside Notion. • Write better. Use Notion AI to help write and brainstorm. • Get answers. Ask Notion AI questions about all your content and get answers in seconds. • Autofill tables. Notion AI turns overwhelming data into clear, actionable information — automatically. SYNCS WITH BROWSER, MAC, AND WINDOWS APPS. • Pick up on mobile where you left off on desktop. MORE PRODUCTIVITY. FEWER TOOLS. • Track to-dos, write notes, create docs, and manage projects in one connected workspace. THINK IT. MAKE IT. Updated on Jan 13, 2026 Productivity Data safety arrow_forward Safety starts with understanding how developers collect and share your data. Data privacy and security practices may vary based on your use, region, and age. The developer provided this information and may update it over time. This app may share these data types with third parties Personal info, App activity and 2 others This app may collect these data types Personal info, Photos and videos and 5 others Data is encrypted in transit You can request that data be deleted See details Ratings and reviews Ratings and reviews are verified info_outline arrow_forward Ratings and reviews are verified info_outline phone_android Phone laptop Chromebook tablet_android Tablet 4.8 319K reviews 5 4 3 2 1 Sommy Nriama more_vert Flag inappropriate Show review history <path d="M12 17.27L18.18 | 2026-01-13T09:29:59 |
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https://play.google.com/store/apps/details?id=notion.id&hl=lt | Notion: Notes, Tasks, AI - Apps on Google Play Games Apps Books Kids google_logo Play Games Apps Books Kids none search help_outline Sign in with Google play_apps Library & devices payment Payments & subscriptions reviews My Play activity redeem Offers Play Pass Personalization in Play settings Settings Privacy Policy • Terms of Service Games Apps Books Kids Notion: Notes, Tasks, AI Notion Labs, Inc. In-app purchases 4.8 star 327K reviews 10M+ Downloads Rated for 3+ info Install Share Add to wishlist About this app arrow_forward Whether you’re looking to track your personal to-do’s, write and organize class notes, or run project management with a team, Notion is the AI-powered workspace that works your way, for any need. Keep track of your personal and professional goals, take notes about what you care about, and stay organized. "AI's everything app" — Forbes Notion is a productivity app where you can write, plan, and organize your notes, projects, tasks and more - all in one place. Ask Notion AI about project updates, upcoming tasks, and suggestions for a more streamlined workflow. Simplify writing notes, project and task management, and collaboration. Whether for personal, student or professional use, Notion scales to meet your individual needs with customization tools for everyone. FREE FOR PERSONAL USE • Create as many notes, docs, and content as you want. • Use one of thousands of templates to get started. FREE TO TRY WITH YOUR TEAM • Millions run on Notion every day, from next-generation startups to established enterprises. • Import Google Docs, PDFs, and other content types easily to get started • Write and organize meeting notes, or transcribe with AI. • Collaboration and team work at your fingertips, in one connected workspace. • Connect tools like Figma, Slack, and GitHub to Notion. FREE FOR STUDENTS • Your study planner, class notes, to do lists and more, your way. Loved by millions of students worldwide. • Get organized for your best school year yet with beautiful, customizable templates created by students, for students. NOTES & DOCS Communication is made efficient with Notion's flexible building blocks. • Create docs with beautiful templates, images, to-dos, and 50+ more content types. • Meeting notes, projects, design systems, pitch decks, and more. • Find exactly what you need using Search with powerful filters to find content across your workspace. TASKS & PROJECTS Catch all details big and small in any workflow. • Workflow manager: Create your own priority labels, status tags, and automations to choose the exact info you want to track. • Capture every detail in a table. Break projects into manageable tasks to get the work done. AI One tool that does it all - search, generate, analyze, and chat - right inside Notion. • Write better. Use Notion AI to help write and brainstorm. • Get answers. Ask Notion AI questions about all your content and get answers in seconds. • Autofill tables. Notion AI turns overwhelming data into clear, actionable information — automatically. SYNCS WITH BROWSER, MAC, AND WINDOWS APPS. • Pick up on mobile where you left off on desktop. MORE PRODUCTIVITY. FEWER TOOLS. • Track to-dos, write notes, create docs, and manage projects in one connected workspace. THINK IT. MAKE IT. Updated on Jan 13, 2026 Productivity Data safety arrow_forward Safety starts with understanding how developers collect and share your data. Data privacy and security practices may vary based on your use, region, and age. The developer provided this information and may update it over time. This app may share these data types with third parties Personal info, App activity and 2 others This app may collect these data types Personal info, Photos and videos and 5 others Data is encrypted in transit You can request that data be deleted See details Ratings and reviews Ratings and reviews are verified info_outline arrow_forward Ratings and reviews are verified info_outline phone_android Phone laptop Chromebook tablet_android Tablet 4.8 319K reviews 5 4 3 2 1 Sommy Nriama more_vert Flag inappropriate Show review history <path d="M12 17.27 | 2026-01-13T09:29:59 |
https://www.notion.com/de/product/sites | Notion – Veröffentliche was immer du willst im Handumdrehen Notion Funktionen Notion-KI Erschaffen, schreiben, automatisieren Agenten Übernehmen manuelle Aufgaben Enterprise Suche Finde Antworten in Sekundenschnelle Smart Notes Perfekt geschrieben von der KI Dokumente Einfach und leistungsstark Wissensdatenbank Bündle dein Wissen Projekte Verwalte jede Art von Projekt Websites Veröffentliche alles Mögliche im Handumdrehen Loslegen KI-Anwendungsfälle entdecken Schau dir an, wozu die Notion-KI in der Lage ist Marktplatz durchstöbern Vorlagen für alles Mögliche Einbindungen anzeigen Verbinde deine Apps mit Notion Web Clipper herunterladen Speichere Inhalte aus dem Web in Notion Teste die Desktop-App von Notion für mehr Geschwindigkeit App herunterladen Mail Calendar KI Enterprise Tarife Erkunden Teams Entwicklung und Produkt Design Marketing IT Teamgröße Start-ups KMUs Konzerne Bildungswesen Lernen Hilfe-Center Notion Academy Erfahrungsberichte von Kund/-innen Blog Community Partnerprogramme Entwickeln API Vorlagen Sicherheit Beratung Fordere eine Demo an Anmelden Nutze Notion kostenlos Sites Veröffentliche was immer du willst im Handumdrehen. Der einfachste Weg, eine Website zum Laufen zu bringen. Notion Sites kostenlos erhalten → Erstellen Beginne mit einer von über 30.000 Vorlagen. Personalisieren Wähle eine Domain, ein Thema, ein Favicon und ein passendes Layout. Veröffentlichen Klicke einfach auf „Veröffentlichen“ und die Seite ist online. Pause Oh-oh! Offenbar verhindert dein Werbeblocker, dass das Video abgespielt wird. Über 10.000 Vorlagen, von Pitch Decks bis zu Portfolios. Persönliche Website Ereignis-Seite Reiseplaner Stellenbörse Hilfe-Center Beginne mit einer Vorlage. Erstelle, was immer du möchtest. Notion Link in bio Burk Kostenlos Simplicity Blog Liyanne Kostenlos Pitch Deck Template Maximilian Fleitmann Kostenlos Recipe box Kylie Stewart Kostenlos Minimalist Resume Nadine's Creations Kostenlos Brand Style Guide Kevan Lee Kostenlos So einfach wie das Bearbeiten einer Seite. Spare Zeit mit Drag-and-Drop-Bausteinen, die du bereits kennst Kein kompliziertes HTML oder Codes erforderlich. Immer mobilfähig. Müheloses Verwalten von Inhalten Halte mit Hilfe von Datenbanken hinter den Kulissen Ordnung in deinen Inhalten. Fülle die Lücken mit KI Erhalte einen Boost für deine Blogbeiträge. Vervollständige endlich deine "Über"-Seite. Optimierung für Suchmaschinen Profi-Tools, die dir helfen, deinen Traffic zu steigern. Upgrade, um etwas ganz persönliches zu erschaffen. Benutzer/-innen im Plus, Business und Enterprise Plan haben folgende Möglichkeiten: Individuelle Domain Verbinde eine individuelle Domain oder wähle eine kostenlose Notion-Domain. Navigationsleiste Gestalte eine individuelle Navigationsleiste mit Seitenlinks, Suche, Pfadnavigation und mehr. Theme Wähle zwischen hellem und dunklem Modus. Favicon Mit einem individuellen Favicon hebst du deine Website hervor. Persönliches Branding Entferne das Notion-Logo, um es zu deinem eigenen zu machen. Google Analytics Integriere Google Analytics Tracking in deine Website. Starte deine Website noch heute. Notion Sites kostenlos erhalten Deutsch Cookie-Einstellungen © 2026 Notion Labs, Inc. Unternehmen Über uns Karriere Sicherheit Status Nutzungsbedingungen und Datenschutz Deine Datenschutzrechte Download iOS und Android Mac und Windows Calendar Web Clipper Ressourcen Hilfe-Center Preise Blog Community Einbindungen Vorlagen Partnerprogramme Notion für Unternehmen Kleine Unternehmen Persönlich Mehr entdecken → | 2026-01-13T09:29:59 |
https://play.google.com/store/apps/details?id=notion.id&hl=es_NI | Notion: Notes, Tasks, AI - Apps on Google Play Games Apps Books Kids google_logo Play Games Apps Books Kids none search help_outline Sign in with Google play_apps Library & devices payment Payments & subscriptions reviews My Play activity redeem Offers Play Pass Personalization in Play settings Settings Privacy Policy • Terms of Service Games Apps Books Kids Notion: Notes, Tasks, AI Notion Labs, Inc. In-app purchases 4.8 star 327K reviews 10M+ Downloads Rated for 3+ info Install Share Add to wishlist About this app arrow_forward Whether you’re looking to track your personal to-do’s, write and organize class notes, or run project management with a team, Notion is the AI-powered workspace that works your way, for any need. Keep track of your personal and professional goals, take notes about what you care about, and stay organized. "AI's everything app" — Forbes Notion is a productivity app where you can write, plan, and organize your notes, projects, tasks and more - all in one place. Ask Notion AI about project updates, upcoming tasks, and suggestions for a more streamlined workflow. Simplify writing notes, project and task management, and collaboration. Whether for personal, student or professional use, Notion scales to meet your individual needs with customization tools for everyone. FREE FOR PERSONAL USE • Create as many notes, docs, and content as you want. • Use one of thousands of templates to get started. FREE TO TRY WITH YOUR TEAM • Millions run on Notion every day, from next-generation startups to established enterprises. • Import Google Docs, PDFs, and other content types easily to get started • Write and organize meeting notes, or transcribe with AI. • Collaboration and team work at your fingertips, in one connected workspace. • Connect tools like Figma, Slack, and GitHub to Notion. FREE FOR STUDENTS • Your study planner, class notes, to do lists and more, your way. Loved by millions of students worldwide. • Get organized for your best school year yet with beautiful, customizable templates created by students, for students. NOTES & DOCS Communication is made efficient with Notion's flexible building blocks. • Create docs with beautiful templates, images, to-dos, and 50+ more content types. • Meeting notes, projects, design systems, pitch decks, and more. • Find exactly what you need using Search with powerful filters to find content across your workspace. TASKS & PROJECTS Catch all details big and small in any workflow. • Workflow manager: Create your own priority labels, status tags, and automations to choose the exact info you want to track. • Capture every detail in a table. Break projects into manageable tasks to get the work done. AI One tool that does it all - search, generate, analyze, and chat - right inside Notion. • Write better. Use Notion AI to help write and brainstorm. • Get answers. Ask Notion AI questions about all your content and get answers in seconds. • Autofill tables. Notion AI turns overwhelming data into clear, actionable information — automatically. SYNCS WITH BROWSER, MAC, AND WINDOWS APPS. • Pick up on mobile where you left off on desktop. MORE PRODUCTIVITY. FEWER TOOLS. • Track to-dos, write notes, create docs, and manage projects in one connected workspace. THINK IT. MAKE IT. Updated on Jan 13, 2026 Productivity Data safety arrow_forward Safety starts with understanding how developers collect and share your data. Data privacy and security practices may vary based on your use, region, and age. The developer provided this information and may update it over time. This app may share these data types with third parties Personal info, App activity and 2 others This app may collect these data types Personal info, Photos and videos and 5 others Data is encrypted in transit You can request that data be deleted See details Ratings and reviews Ratings and reviews are verified info_outline arrow_forward Ratings and reviews are verified info_outline phone_android Phone laptop Chromebook tablet_android Tablet 4.8 319K reviews 5 4 3 2 1 Sommy Nriama more_vert Flag inappropriate Show review history <path d="M12 17.27L | 2026-01-13T09:29:59 |
https://play.google.com/store/apps/details?id=notion.id&hl=ky | Notion: Notes, Tasks, AI - Apps on Google Play Games Apps Books Kids google_logo Play Games Apps Books Kids none search help_outline Sign in with Google play_apps Library & devices payment Payments & subscriptions reviews My Play activity redeem Offers Play Pass Personalization in Play settings Settings Privacy Policy • Terms of Service Games Apps Books Kids Notion: Notes, Tasks, AI Notion Labs, Inc. In-app purchases 4.8 star 327K reviews 10M+ Downloads Rated for 3+ info Install Share Add to wishlist About this app arrow_forward Whether you’re looking to track your personal to-do’s, write and organize class notes, or run project management with a team, Notion is the AI-powered workspace that works your way, for any need. Keep track of your personal and professional goals, take notes about what you care about, and stay organized. "AI's everything app" — Forbes Notion is a productivity app where you can write, plan, and organize your notes, projects, tasks and more - all in one place. Ask Notion AI about project updates, upcoming tasks, and suggestions for a more streamlined workflow. Simplify writing notes, project and task management, and collaboration. Whether for personal, student or professional use, Notion scales to meet your individual needs with customization tools for everyone. FREE FOR PERSONAL USE • Create as many notes, docs, and content as you want. • Use one of thousands of templates to get started. FREE TO TRY WITH YOUR TEAM • Millions run on Notion every day, from next-generation startups to established enterprises. • Import Google Docs, PDFs, and other content types easily to get started • Write and organize meeting notes, or transcribe with AI. • Collaboration and team work at your fingertips, in one connected workspace. • Connect tools like Figma, Slack, and GitHub to Notion. FREE FOR STUDENTS • Your study planner, class notes, to do lists and more, your way. Loved by millions of students worldwide. • Get organized for your best school year yet with beautiful, customizable templates created by students, for students. NOTES & DOCS Communication is made efficient with Notion's flexible building blocks. • Create docs with beautiful templates, images, to-dos, and 50+ more content types. • Meeting notes, projects, design systems, pitch decks, and more. • Find exactly what you need using Search with powerful filters to find content across your workspace. TASKS & PROJECTS Catch all details big and small in any workflow. • Workflow manager: Create your own priority labels, status tags, and automations to choose the exact info you want to track. • Capture every detail in a table. Break projects into manageable tasks to get the work done. AI One tool that does it all - search, generate, analyze, and chat - right inside Notion. • Write better. Use Notion AI to help write and brainstorm. • Get answers. Ask Notion AI questions about all your content and get answers in seconds. • Autofill tables. Notion AI turns overwhelming data into clear, actionable information — automatically. SYNCS WITH BROWSER, MAC, AND WINDOWS APPS. • Pick up on mobile where you left off on desktop. MORE PRODUCTIVITY. FEWER TOOLS. • Track to-dos, write notes, create docs, and manage projects in one connected workspace. THINK IT. MAKE IT. Updated on Jan 13, 2026 Productivity Data safety arrow_forward Safety starts with understanding how developers collect and share your data. Data privacy and security practices may vary based on your use, region, and age. The developer provided this information and may update it over time. This app may share these data types with third parties Personal info, App activity and 2 others This app may collect these data types Personal info, Photos and videos and 5 others Data is encrypted in transit You can request that data be deleted See details Ratings and reviews Ratings and reviews are verified info_outline arrow_forward Ratings and reviews are verified info_outline phone_android Phone laptop Chromebook tablet_android Tablet 4.8 319K reviews 5 4 3 2 1 Sommy Nriama more_vert Flag inappropriate Show review history <path d="M12 17.27L18.18 | 2026-01-13T09:29:59 |
https://www.notion.com/de/blog | Werkzeuge und Handwerk – Notion Blog Notion Funktionen Notion-KI Erschaffen, schreiben, automatisieren Agenten Übernehmen manuelle Aufgaben Enterprise Suche Finde Antworten in Sekundenschnelle Smart Notes Perfekt geschrieben von der KI Dokumente Einfach und leistungsstark Wissensdatenbank Bündle dein Wissen Projekte Verwalte jede Art von Projekt Websites Veröffentliche alles Mögliche im Handumdrehen Loslegen KI-Anwendungsfälle entdecken Schau dir an, wozu die Notion-KI in der Lage ist Marktplatz durchstöbern Vorlagen für alles Mögliche Einbindungen anzeigen Verbinde deine Apps mit Notion Web Clipper herunterladen Speichere Inhalte aus dem Web in Notion Teste die Desktop-App von Notion für mehr Geschwindigkeit App herunterladen Mail Calendar KI Enterprise Tarife Erkunden Teams Entwicklung und Produkt Design Marketing IT Teamgröße Start-ups KMUs Konzerne Bildungswesen Lernen Hilfe-Center Notion Academy Erfahrungsberichte von Kund/-innen Blog Community Partnerprogramme Entwickeln API Vorlagen Sicherheit Beratung Fordere eine Demo an Anmelden Nutze Notion kostenlos Gedanken über die Zukunft der Arbeit, von den Menschen und Teams, die sie schaffen. Neueste Notion HQ Für Teams Technik Mail Inspiration Podcast First Block First Block First Block mit Fabian Hedin, Mitgründer und CTO von Lovable In dieser Folge haben wir mit Fabian Hedin über Minecraft gesprochen, über den mutigen Schritt, Softwareentwicklung für alle zugänglich zu machen und darüber, warum es sich lohnt, schon heute auf die Möglichkeiten von KI zu setzen, statt auf die Technik von morgen zu hoffen. Anastasia Crew Start-up Marketing-Lead First Block First Block mit Ant Wilson, Mitgründer und CTO von Supabase In dieser Folge haben wir mit Ant Wilson über seine Erfahrungen als Gründer gesprochen, darüber, wie wertvoll es ist, eigene Herausforderungen zu meistern, und weshalb echte Beziehungen zur Community wirklich einen Unterschied machen. Anastasia Crew Start-up Marketing-Lead Notion HQ Entdecke Notion 3.0 Heute haben wir Notion 3.0 mit Agenten veröffentlicht. Alles, was du in Notion machen kannst, kann auch dein Agent. Lästige Routine kannst du jetzt in wenigen Minuten erledigen. Akshay Kothari COO, Notion Notion HQ Lerne Mick Hodgins kennen, Notions neuen EMEA-Geschäftsführer Lerne unseren neuen EMEA-Geschäftsführer kennen. Er bringt eine strategische Vision sowie internationale Erfahrung von Google und anderen Unternehmen mit, um unsere Teams in der gesamten Region zu leiten. Pravesh Mistry Head of Global Sales, Notion Für Teams Wie Teams Smart Notes nutzen können, um Wissen zu automatisieren und umsetzbar zu machen Ist KI in der Lage, Meeting-Notizen für dich zu erstellen? Erfahre, wie du mit KI deine Meetings aufzeichnen, wichtige Entscheidungen hervorheben und Aktionselemente erstellen kannst, damit dein Team fokussiert bleibt und nicht abgelenkt wird. Technik Notions gehosteter MCP-Server: ein Blick ins Innere Anfang dieses Jahres erhielten wir Anfragen für einen Notion MCP-Server, der es KI-Agent/-innen ermöglichen würde, direkt mit Notion-Workspaces zu arbeiten. Hier erfährst du, wie wir ihn aufgebaut haben – von unserem ersten Open-Source-Experiment bis hin zur heutigen gehosteten Lösung mit individuell für KI-Workflows entwickelten Tools. Kenneth Sinder Software Engineer, Notion Für Teams Wie europäische Unternehmen Wissen in einen echten Wettbewerbsvorteil verwandeln Wir haben 650 europäische Führungskräfte befragt, um zu erfahren, wie sie Wissen managen—und warum KI zu einem entscheidenden Wettbewerbsvorteil wird. Laura Gregg EMEA Customer Success Lead, Notion Technik Schnelligkeit, Struktur und smarte Lösungen: Der Ansatz von Notion-KI Wir wir KI mit strukturierten Daten kombinieren, um ein erstklassiges Arbeitsergebnis zu liefern. Sarah Sachs Notion HQ Notion ist jetzt im Microsoft Store verfügbar Wir haben einen spannenden Meilenstein auf unserer Reise zu mehr Zugriff für alle in unserer globalen Community erreicht: Notion ist jetzt im Microsoft Store verfügbar. David Rosenberg Leiter Business Development, Notion Für Teams Wie Notion Notion nutzt: Erstellen einer modernen und flexiblen Wissensdatenbank Wirf einen Blick hinter die Kulissen und erfahre, wie wir unser CX-Wissen verwalten – sowie ein paar gute Tipps, wie du das im eigenen Unternehmen umsetzen kannst. Drew Evans Marketing Notion HQ Welcome to Notion, Sequin team! I'm excited to welcome the Sequin team to Notion. They've built tools that helped companies bring data from across their software stack into one place, and their thinking on how to bring fragmented information together aligns perfectly with where we're headed. Fuzzy Khosrowshahi Chief Technology Officer, Notion Für Teams Why team size no longer matters Recently, I've been hearing the same thing from founders and leaders running lean teams alike: Limited resources, ambitious goals. So how do they compete? Andrew McCarthy Head of ANZ, SEA, and India Für Teams How Merge brought together all it knows using Notion AI Merge noticed their company knowledge was everywhere, which made it nearly impossible to find what they needed. So they turned to Notion AI to be the librarian that brings all their knowledge together in one place. Shensi Ding Co-founder and CEO, Merge Inspiration Steam, Steel, and Infinite Minds Every era is shaped by its miracle material. Steel forged the Gilded Age. Semiconductors switched on the Digital Age. Now AI has arrived as infinite minds. If history teaches us anything, those who master the material define the era. Ivan Zhao Mitbegründer & CEO Notion HQ Highlights and takeaways from Make with Notion Showcase Europe 2025 From the arrival of Notion 3.0 to uncovering the hidden costs of siloed knowledge, our second annual European conference series brought together over 1,300 attendees across four cities. Áine Dundas Head of EMEA Marketing First Block First Block with Garrett Lord, Co-founder and CEO of Handshake In this episode, Garrett shares his journey from growing up in a working-class family to building a company that democratizes access to career opportunities. Anastasia Crew Start-up Marketing-Lead Technik How we made Notion available offline Offline Mode was Notion's most requested feature for years, but building it meant solving tough technical challenges around our unique block architecture. Here's the architecture and data model that made it possible. Raymond Xu Software Engineer, Notion Für Teams How Ramp built an AI operating system for scalable work Work is fundamentally changing with AI. But with the right mindset and approach to using AI, there’s an opportunity to design the new version of how teams do their jobs. Drew Evans Marketing First Block First Block with Jesse Zhang, Co-founder and CEO of Decagon In this episode, Jesse shares his journey from a painful first startup experience to building Decagon with intentional customer discovery, and why commercial thinking matters as much as technical excellence. Anastasia Crew Start-up Marketing-Lead Für Teams The hidden cost of disconnected knowledge The problem isn’t your wiki—it’s that your wiki is only a wiki. The companies moving fastest are building workflows around tools that are flexible, connected, and intelligent so they can shrink the distance between knowledge and action. Drew Evans Marketing 1 2 3 4 5 → Deutsch Cookie-Einstellungen © 2026 Notion Labs, Inc. Unternehmen Über uns Karriere Sicherheit Status Nutzungsbedingungen und Datenschutz Deine Datenschutzrechte Download iOS und Android Mac und Windows Calendar Web Clipper Ressourcen Hilfe-Center Preise Blog Community Einbindungen Vorlagen Partnerprogramme Notion für Unternehmen Kleine Unternehmen Persönlich Mehr entdecken → | 2026-01-13T09:29:59 |
https://play.google.com/store/apps/details?id=notion.id&hl=es_UY | Notion: Notes, Tasks, AI - Apps on Google Play Games Apps Books Kids google_logo Play Games Apps Books Kids none search help_outline Sign in with Google play_apps Library & devices payment Payments & subscriptions reviews My Play activity redeem Offers Play Pass Personalization in Play settings Settings Privacy Policy • Terms of Service Games Apps Books Kids Notion: Notes, Tasks, AI Notion Labs, Inc. In-app purchases 4.8 star 327K reviews 10M+ Downloads Rated for 3+ info Install Share Add to wishlist About this app arrow_forward Whether you’re looking to track your personal to-do’s, write and organize class notes, or run project management with a team, Notion is the AI-powered workspace that works your way, for any need. Keep track of your personal and professional goals, take notes about what you care about, and stay organized. "AI's everything app" — Forbes Notion is a productivity app where you can write, plan, and organize your notes, projects, tasks and more - all in one place. Ask Notion AI about project updates, upcoming tasks, and suggestions for a more streamlined workflow. Simplify writing notes, project and task management, and collaboration. Whether for personal, student or professional use, Notion scales to meet your individual needs with customization tools for everyone. FREE FOR PERSONAL USE • Create as many notes, docs, and content as you want. • Use one of thousands of templates to get started. FREE TO TRY WITH YOUR TEAM • Millions run on Notion every day, from next-generation startups to established enterprises. • Import Google Docs, PDFs, and other content types easily to get started • Write and organize meeting notes, or transcribe with AI. • Collaboration and team work at your fingertips, in one connected workspace. • Connect tools like Figma, Slack, and GitHub to Notion. FREE FOR STUDENTS • Your study planner, class notes, to do lists and more, your way. Loved by millions of students worldwide. • Get organized for your best school year yet with beautiful, customizable templates created by students, for students. NOTES & DOCS Communication is made efficient with Notion's flexible building blocks. • Create docs with beautiful templates, images, to-dos, and 50+ more content types. • Meeting notes, projects, design systems, pitch decks, and more. • Find exactly what you need using Search with powerful filters to find content across your workspace. TASKS & PROJECTS Catch all details big and small in any workflow. • Workflow manager: Create your own priority labels, status tags, and automations to choose the exact info you want to track. • Capture every detail in a table. Break projects into manageable tasks to get the work done. AI One tool that does it all - search, generate, analyze, and chat - right inside Notion. • Write better. Use Notion AI to help write and brainstorm. • Get answers. Ask Notion AI questions about all your content and get answers in seconds. • Autofill tables. Notion AI turns overwhelming data into clear, actionable information — automatically. SYNCS WITH BROWSER, MAC, AND WINDOWS APPS. • Pick up on mobile where you left off on desktop. MORE PRODUCTIVITY. FEWER TOOLS. • Track to-dos, write notes, create docs, and manage projects in one connected workspace. THINK IT. MAKE IT. Updated on Jan 13, 2026 Productivity Data safety arrow_forward Safety starts with understanding how developers collect and share your data. Data privacy and security practices may vary based on your use, region, and age. The developer provided this information and may update it over time. This app may share these data types with third parties Personal info, App activity and 2 others This app may collect these data types Personal info, Photos and videos and 5 others Data is encrypted in transit You can request that data be deleted See details Ratings and reviews Ratings and reviews are verified info_outline arrow_forward Ratings and reviews are verified info_outline phone_android Phone laptop Chromebook tablet_android Tablet 4.8 319K reviews 5 4 3 2 1 Sommy Nriama more_vert Flag inappropriate Show review history <path d="M0 0h24v24H0z" fi | 2026-01-13T09:29:59 |
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https://play.google.com/store/apps/details?id=notion.id&hl=ja | Notion: Notes, Tasks, AI - Apps on Google Play Games Apps Books Kids google_logo Play Games Apps Books Kids none search help_outline Sign in with Google play_apps Library & devices payment Payments & subscriptions reviews My Play activity redeem Offers Play Pass Personalization in Play settings Settings Privacy Policy • Terms of Service Games Apps Books Kids Notion: Notes, Tasks, AI Notion Labs, Inc. In-app purchases 4.8 star 327K reviews 10M+ Downloads Rated for 3+ info Install Share Add to wishlist About this app arrow_forward Whether you’re looking to track your personal to-do’s, write and organize class notes, or run project management with a team, Notion is the AI-powered workspace that works your way, for any need. Keep track of your personal and professional goals, take notes about what you care about, and stay organized. "AI's everything app" — Forbes Notion is a productivity app where you can write, plan, and organize your notes, projects, tasks and more - all in one place. Ask Notion AI about project updates, upcoming tasks, and suggestions for a more streamlined workflow. Simplify writing notes, project and task management, and collaboration. Whether for personal, student or professional use, Notion scales to meet your individual needs with customization tools for everyone. FREE FOR PERSONAL USE • Create as many notes, docs, and content as you want. • Use one of thousands of templates to get started. FREE TO TRY WITH YOUR TEAM • Millions run on Notion every day, from next-generation startups to established enterprises. • Import Google Docs, PDFs, and other content types easily to get started • Write and organize meeting notes, or transcribe with AI. • Collaboration and team work at your fingertips, in one connected workspace. • Connect tools like Figma, Slack, and GitHub to Notion. FREE FOR STUDENTS • Your study planner, class notes, to do lists and more, your way. Loved by millions of students worldwide. • Get organized for your best school year yet with beautiful, customizable templates created by students, for students. NOTES & DOCS Communication is made efficient with Notion's flexible building blocks. • Create docs with beautiful templates, images, to-dos, and 50+ more content types. • Meeting notes, projects, design systems, pitch decks, and more. • Find exactly what you need using Search with powerful filters to find content across your workspace. TASKS & PROJECTS Catch all details big and small in any workflow. • Workflow manager: Create your own priority labels, status tags, and automations to choose the exact info you want to track. • Capture every detail in a table. Break projects into manageable tasks to get the work done. AI One tool that does it all - search, generate, analyze, and chat - right inside Notion. • Write better. Use Notion AI to help write and brainstorm. • Get answers. Ask Notion AI questions about all your content and get answers in seconds. • Autofill tables. Notion AI turns overwhelming data into clear, actionable information — automatically. SYNCS WITH BROWSER, MAC, AND WINDOWS APPS. • Pick up on mobile where you left off on desktop. MORE PRODUCTIVITY. FEWER TOOLS. • Track to-dos, write notes, create docs, and manage projects in one connected workspace. THINK IT. MAKE IT. Updated on Jan 13, 2026 Productivity Data safety arrow_forward Safety starts with understanding how developers collect and share your data. Data privacy and security practices may vary based on your use, region, and age. The developer provided this information and may update it over time. This app may share these data types with third parties Personal info, App activity and 2 others This app may collect these data types Personal info, Photos and videos and 5 others Data is encrypted in transit You can request that data be deleted See details Ratings and reviews Ratings and reviews are verified info_outline arrow_forward Ratings and reviews are verified info_outline phone_android Phone laptop Chromebook tablet_android Tablet 4.8 319K reviews 5 4 3 2 1 Sommy Nriama more_vert Flag inappropriate Show review history <path d | 2026-01-13T09:29:59 |
https://play.google.com/store/apps/details?id=notion.id&hl=es_AR | Notion: Notes, Tasks, AI - Apps on Google Play Games Apps Books Kids google_logo Play Games Apps Books Kids none search help_outline Sign in with Google play_apps Library & devices payment Payments & subscriptions reviews My Play activity redeem Offers Play Pass Personalization in Play settings Settings Privacy Policy • Terms of Service Games Apps Books Kids Notion: Notes, Tasks, AI Notion Labs, Inc. In-app purchases 4.8 star 327K reviews 10M+ Downloads Rated for 3+ info Install Share Add to wishlist About this app arrow_forward Whether you’re looking to track your personal to-do’s, write and organize class notes, or run project management with a team, Notion is the AI-powered workspace that works your way, for any need. Keep track of your personal and professional goals, take notes about what you care about, and stay organized. "AI's everything app" — Forbes Notion is a productivity app where you can write, plan, and organize your notes, projects, tasks and more - all in one place. Ask Notion AI about project updates, upcoming tasks, and suggestions for a more streamlined workflow. Simplify writing notes, project and task management, and collaboration. Whether for personal, student or professional use, Notion scales to meet your individual needs with customization tools for everyone. FREE FOR PERSONAL USE • Create as many notes, docs, and content as you want. • Use one of thousands of templates to get started. FREE TO TRY WITH YOUR TEAM • Millions run on Notion every day, from next-generation startups to established enterprises. • Import Google Docs, PDFs, and other content types easily to get started • Write and organize meeting notes, or transcribe with AI. • Collaboration and team work at your fingertips, in one connected workspace. • Connect tools like Figma, Slack, and GitHub to Notion. FREE FOR STUDENTS • Your study planner, class notes, to do lists and more, your way. Loved by millions of students worldwide. • Get organized for your best school year yet with beautiful, customizable templates created by students, for students. NOTES & DOCS Communication is made efficient with Notion's flexible building blocks. • Create docs with beautiful templates, images, to-dos, and 50+ more content types. • Meeting notes, projects, design systems, pitch decks, and more. • Find exactly what you need using Search with powerful filters to find content across your workspace. TASKS & PROJECTS Catch all details big and small in any workflow. • Workflow manager: Create your own priority labels, status tags, and automations to choose the exact info you want to track. • Capture every detail in a table. Break projects into manageable tasks to get the work done. AI One tool that does it all - search, generate, analyze, and chat - right inside Notion. • Write better. Use Notion AI to help write and brainstorm. • Get answers. Ask Notion AI questions about all your content and get answers in seconds. • Autofill tables. Notion AI turns overwhelming data into clear, actionable information — automatically. SYNCS WITH BROWSER, MAC, AND WINDOWS APPS. • Pick up on mobile where you left off on desktop. MORE PRODUCTIVITY. FEWER TOOLS. • Track to-dos, write notes, create docs, and manage projects in one connected workspace. THINK IT. MAKE IT. Updated on Jan 13, 2026 Productivity Data safety arrow_forward Safety starts with understanding how developers collect and share your data. Data privacy and security practices may vary based on your use, region, and age. The developer provided this information and may update it over time. This app may share these data types with third parties Personal info, App activity and 2 others This app may collect these data types Personal info, Photos and videos and 5 others Data is encrypted in transit You can request that data be deleted See details Ratings and reviews Ratings and reviews are verified info_outline arrow_forward Ratings and reviews are verified info_outline phone_android Phone laptop Chromebook tablet_android Tablet 4.8 319K reviews 5 4 3 2 1 Sommy Nriama more_vert Flag inappropriate Show review history <path d="M12 17.27L18.18 | 2026-01-13T09:29:59 |
https://play.google.com/store/apps/details?id=notion.id&hl=es_VE | Notion: Notes, Tasks, AI - Apps on Google Play Games Apps Books Kids google_logo Play Games Apps Books Kids none search help_outline Sign in with Google play_apps Library & devices payment Payments & subscriptions reviews My Play activity redeem Offers Play Pass Personalization in Play settings Settings Privacy Policy • Terms of Service Games Apps Books Kids Notion: Notes, Tasks, AI Notion Labs, Inc. In-app purchases 4.8 star 327K reviews 10M+ Downloads Rated for 3+ info Install Share Add to wishlist About this app arrow_forward Whether you’re looking to track your personal to-do’s, write and organize class notes, or run project management with a team, Notion is the AI-powered workspace that works your way, for any need. Keep track of your personal and professional goals, take notes about what you care about, and stay organized. "AI's everything app" — Forbes Notion is a productivity app where you can write, plan, and organize your notes, projects, tasks and more - all in one place. Ask Notion AI about project updates, upcoming tasks, and suggestions for a more streamlined workflow. Simplify writing notes, project and task management, and collaboration. Whether for personal, student or professional use, Notion scales to meet your individual needs with customization tools for everyone. FREE FOR PERSONAL USE • Create as many notes, docs, and content as you want. • Use one of thousands of templates to get started. FREE TO TRY WITH YOUR TEAM • Millions run on Notion every day, from next-generation startups to established enterprises. • Import Google Docs, PDFs, and other content types easily to get started • Write and organize meeting notes, or transcribe with AI. • Collaboration and team work at your fingertips, in one connected workspace. • Connect tools like Figma, Slack, and GitHub to Notion. FREE FOR STUDENTS • Your study planner, class notes, to do lists and more, your way. Loved by millions of students worldwide. • Get organized for your best school year yet with beautiful, customizable templates created by students, for students. NOTES & DOCS Communication is made efficient with Notion's flexible building blocks. • Create docs with beautiful templates, images, to-dos, and 50+ more content types. • Meeting notes, projects, design systems, pitch decks, and more. • Find exactly what you need using Search with powerful filters to find content across your workspace. TASKS & PROJECTS Catch all details big and small in any workflow. • Workflow manager: Create your own priority labels, status tags, and automations to choose the exact info you want to track. • Capture every detail in a table. Break projects into manageable tasks to get the work done. AI One tool that does it all - search, generate, analyze, and chat - right inside Notion. • Write better. Use Notion AI to help write and brainstorm. • Get answers. Ask Notion AI questions about all your content and get answers in seconds. • Autofill tables. Notion AI turns overwhelming data into clear, actionable information — automatically. SYNCS WITH BROWSER, MAC, AND WINDOWS APPS. • Pick up on mobile where you left off on desktop. MORE PRODUCTIVITY. FEWER TOOLS. • Track to-dos, write notes, create docs, and manage projects in one connected workspace. THINK IT. MAKE IT. Updated on Jan 13, 2026 Productivity Data safety arrow_forward Safety starts with understanding how developers collect and share your data. Data privacy and security practices may vary based on your use, region, and age. The developer provided this information and may update it over time. This app may share these data types with third parties Personal info, App activity and 2 others This app may collect these data types Personal info, Photos and videos and 5 others Data is encrypted in transit You can request that data be deleted See details Ratings and reviews Ratings and reviews are verified info_outline arrow_forward Ratings and reviews are verified info_outline phone_android Phone laptop Chromebook tablet_android Tablet 4.8 319K reviews 5 4 3 2 1 Sommy Nriama more_vert Flag inappropriate Show review history <path d="M12 17.27L18.18 | 2026-01-13T09:29:59 |
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https://play.google.com/store/apps/details?id=notion.id&hl=es_CL | Notion: Notes, Tasks, AI - Apps on Google Play Games Apps Books Kids google_logo Play Games Apps Books Kids none search help_outline Sign in with Google play_apps Library & devices payment Payments & subscriptions reviews My Play activity redeem Offers Play Pass Personalization in Play settings Settings Privacy Policy • Terms of Service Games Apps Books Kids Notion: Notes, Tasks, AI Notion Labs, Inc. In-app purchases 4.8 star 327K reviews 10M+ Downloads Rated for 3+ info Install Share Add to wishlist About this app arrow_forward Whether you’re looking to track your personal to-do’s, write and organize class notes, or run project management with a team, Notion is the AI-powered workspace that works your way, for any need. Keep track of your personal and professional goals, take notes about what you care about, and stay organized. "AI's everything app" — Forbes Notion is a productivity app where you can write, plan, and organize your notes, projects, tasks and more - all in one place. Ask Notion AI about project updates, upcoming tasks, and suggestions for a more streamlined workflow. Simplify writing notes, project and task management, and collaboration. Whether for personal, student or professional use, Notion scales to meet your individual needs with customization tools for everyone. FREE FOR PERSONAL USE • Create as many notes, docs, and content as you want. • Use one of thousands of templates to get started. FREE TO TRY WITH YOUR TEAM • Millions run on Notion every day, from next-generation startups to established enterprises. • Import Google Docs, PDFs, and other content types easily to get started • Write and organize meeting notes, or transcribe with AI. • Collaboration and team work at your fingertips, in one connected workspace. • Connect tools like Figma, Slack, and GitHub to Notion. FREE FOR STUDENTS • Your study planner, class notes, to do lists and more, your way. Loved by millions of students worldwide. • Get organized for your best school year yet with beautiful, customizable templates created by students, for students. NOTES & DOCS Communication is made efficient with Notion's flexible building blocks. • Create docs with beautiful templates, images, to-dos, and 50+ more content types. • Meeting notes, projects, design systems, pitch decks, and more. • Find exactly what you need using Search with powerful filters to find content across your workspace. TASKS & PROJECTS Catch all details big and small in any workflow. • Workflow manager: Create your own priority labels, status tags, and automations to choose the exact info you want to track. • Capture every detail in a table. Break projects into manageable tasks to get the work done. AI One tool that does it all - search, generate, analyze, and chat - right inside Notion. • Write better. Use Notion AI to help write and brainstorm. • Get answers. Ask Notion AI questions about all your content and get answers in seconds. • Autofill tables. Notion AI turns overwhelming data into clear, actionable information — automatically. SYNCS WITH BROWSER, MAC, AND WINDOWS APPS. • Pick up on mobile where you left off on desktop. MORE PRODUCTIVITY. FEWER TOOLS. • Track to-dos, write notes, create docs, and manage projects in one connected workspace. THINK IT. MAKE IT. Updated on Jan 13, 2026 Productivity Data safety arrow_forward Safety starts with understanding how developers collect and share your data. Data privacy and security practices may vary based on your use, region, and age. The developer provided this information and may update it over time. This app may share these data types with third parties Personal info, App activity and 2 others This app may collect these data types Personal info, Photos and videos and 5 others Data is encrypted in transit You can request that data be deleted See details Ratings and reviews Ratings and reviews are verified info_outline arrow_forward Ratings and reviews are verified info_outline phone_android Phone laptop Chromebook tablet_android Tablet 4.8 319K reviews 5 4 3 2 1 Sommy Nriama more_vert Flag inappropriate Show review history <path d="M12 17.27L18.18 | 2026-01-13T09:29:59 |
https://play.google.com/store/apps/details?id=notion.id&hl=es_MX | Notion: Notes, Tasks, AI - Apps on Google Play Games Apps Books Kids google_logo Play Games Apps Books Kids none search help_outline Sign in with Google play_apps Library & devices payment Payments & subscriptions reviews My Play activity redeem Offers Play Pass Personalization in Play settings Settings Privacy Policy • Terms of Service Games Apps Books Kids Notion: Notes, Tasks, AI Notion Labs, Inc. In-app purchases 4.8 star 327K reviews 10M+ Downloads Rated for 3+ info Install Share Add to wishlist About this app arrow_forward Whether you’re looking to track your personal to-do’s, write and organize class notes, or run project management with a team, Notion is the AI-powered workspace that works your way, for any need. Keep track of your personal and professional goals, take notes about what you care about, and stay organized. "AI's everything app" — Forbes Notion is a productivity app where you can write, plan, and organize your notes, projects, tasks and more - all in one place. Ask Notion AI about project updates, upcoming tasks, and suggestions for a more streamlined workflow. Simplify writing notes, project and task management, and collaboration. Whether for personal, student or professional use, Notion scales to meet your individual needs with customization tools for everyone. FREE FOR PERSONAL USE • Create as many notes, docs, and content as you want. • Use one of thousands of templates to get started. FREE TO TRY WITH YOUR TEAM • Millions run on Notion every day, from next-generation startups to established enterprises. • Import Google Docs, PDFs, and other content types easily to get started • Write and organize meeting notes, or transcribe with AI. • Collaboration and team work at your fingertips, in one connected workspace. • Connect tools like Figma, Slack, and GitHub to Notion. FREE FOR STUDENTS • Your study planner, class notes, to do lists and more, your way. Loved by millions of students worldwide. • Get organized for your best school year yet with beautiful, customizable templates created by students, for students. NOTES & DOCS Communication is made efficient with Notion's flexible building blocks. • Create docs with beautiful templates, images, to-dos, and 50+ more content types. • Meeting notes, projects, design systems, pitch decks, and more. • Find exactly what you need using Search with powerful filters to find content across your workspace. TASKS & PROJECTS Catch all details big and small in any workflow. • Workflow manager: Create your own priority labels, status tags, and automations to choose the exact info you want to track. • Capture every detail in a table. Break projects into manageable tasks to get the work done. AI One tool that does it all - search, generate, analyze, and chat - right inside Notion. • Write better. Use Notion AI to help write and brainstorm. • Get answers. Ask Notion AI questions about all your content and get answers in seconds. • Autofill tables. Notion AI turns overwhelming data into clear, actionable information — automatically. SYNCS WITH BROWSER, MAC, AND WINDOWS APPS. • Pick up on mobile where you left off on desktop. MORE PRODUCTIVITY. FEWER TOOLS. • Track to-dos, write notes, create docs, and manage projects in one connected workspace. THINK IT. MAKE IT. Updated on Jan 13, 2026 Productivity Data safety arrow_forward Safety starts with understanding how developers collect and share your data. Data privacy and security practices may vary based on your use, region, and age. The developer provided this information and may update it over time. This app may share these data types with third parties Personal info, App activity and 2 others This app may collect these data types Personal info, Photos and videos and 5 others Data is encrypted in transit You can request that data be deleted See details Ratings and reviews Ratings and reviews are verified info_outline arrow_forward Ratings and reviews are verified info_outline phone_android Phone laptop Chromebook tablet_android Tablet 4.8 319K reviews 5 4 3 2 1 Sommy Nriama more_vert Flag inappropriate Show review history <path d="M12 17.27L18.18 | 2026-01-13T09:29:59 |
https://play.google.com/store/apps/details?id=notion.id&hl=gl | Notion: Notes, Tasks, AI - Apps on Google Play Games Apps Books Kids google_logo Play Games Apps Books Kids none search help_outline Sign in with Google play_apps Library & devices payment Payments & subscriptions reviews My Play activity redeem Offers Play Pass Personalization in Play settings Settings Privacy Policy • Terms of Service Games Apps Books Kids Notion: Notes, Tasks, AI Notion Labs, Inc. In-app purchases 4.8 star 327K reviews 10M+ Downloads Rated for 3+ info Install Share Add to wishlist About this app arrow_forward Whether you’re looking to track your personal to-do’s, write and organize class notes, or run project management with a team, Notion is the AI-powered workspace that works your way, for any need. Keep track of your personal and professional goals, take notes about what you care about, and stay organized. "AI's everything app" — Forbes Notion is a productivity app where you can write, plan, and organize your notes, projects, tasks and more - all in one place. Ask Notion AI about project updates, upcoming tasks, and suggestions for a more streamlined workflow. Simplify writing notes, project and task management, and collaboration. Whether for personal, student or professional use, Notion scales to meet your individual needs with customization tools for everyone. FREE FOR PERSONAL USE • Create as many notes, docs, and content as you want. • Use one of thousands of templates to get started. FREE TO TRY WITH YOUR TEAM • Millions run on Notion every day, from next-generation startups to established enterprises. • Import Google Docs, PDFs, and other content types easily to get started • Write and organize meeting notes, or transcribe with AI. • Collaboration and team work at your fingertips, in one connected workspace. • Connect tools like Figma, Slack, and GitHub to Notion. FREE FOR STUDENTS • Your study planner, class notes, to do lists and more, your way. Loved by millions of students worldwide. • Get organized for your best school year yet with beautiful, customizable templates created by students, for students. NOTES & DOCS Communication is made efficient with Notion's flexible building blocks. • Create docs with beautiful templates, images, to-dos, and 50+ more content types. • Meeting notes, projects, design systems, pitch decks, and more. • Find exactly what you need using Search with powerful filters to find content across your workspace. TASKS & PROJECTS Catch all details big and small in any workflow. • Workflow manager: Create your own priority labels, status tags, and automations to choose the exact info you want to track. • Capture every detail in a table. Break projects into manageable tasks to get the work done. AI One tool that does it all - search, generate, analyze, and chat - right inside Notion. • Write better. Use Notion AI to help write and brainstorm. • Get answers. Ask Notion AI questions about all your content and get answers in seconds. • Autofill tables. Notion AI turns overwhelming data into clear, actionable information — automatically. SYNCS WITH BROWSER, MAC, AND WINDOWS APPS. • Pick up on mobile where you left off on desktop. MORE PRODUCTIVITY. FEWER TOOLS. • Track to-dos, write notes, create docs, and manage projects in one connected workspace. THINK IT. MAKE IT. Updated on Jan 13, 2026 Productivity Data safety arrow_forward Safety starts with understanding how developers collect and share your data. Data privacy and security practices may vary based on your use, region, and age. The developer provided this information and may update it over time. This app may share these data types with third parties Personal info, App activity and 2 others This app may collect these data types Personal info, Photos and videos and 5 others Data is encrypted in transit You can request that data be deleted See details Ratings and reviews Ratings and reviews are verified info_outline arrow_forward Ratings and reviews are verified info_outline phone_android Phone laptop Chromebook tablet_android Tablet 4.8 319K reviews 5 4 3 2 1 Sommy Nriama more_vert Flag inappropriate Show review history <path d="M12 17.27L | 2026-01-13T09:29:59 |
https://play.google.com/store/apps/details?id=notion.id&hl=es_CO | Notion: Notes, Tasks, AI - Apps on Google Play Games Apps Books Kids google_logo Play Games Apps Books Kids none search help_outline Sign in with Google play_apps Library & devices payment Payments & subscriptions reviews My Play activity redeem Offers Play Pass Personalization in Play settings Settings Privacy Policy • Terms of Service Games Apps Books Kids Notion: Notes, Tasks, AI Notion Labs, Inc. In-app purchases 4.8 star 327K reviews 10M+ Downloads Rated for 3+ info Install Share Add to wishlist About this app arrow_forward Whether you’re looking to track your personal to-do’s, write and organize class notes, or run project management with a team, Notion is the AI-powered workspace that works your way, for any need. Keep track of your personal and professional goals, take notes about what you care about, and stay organized. "AI's everything app" — Forbes Notion is a productivity app where you can write, plan, and organize your notes, projects, tasks and more - all in one place. Ask Notion AI about project updates, upcoming tasks, and suggestions for a more streamlined workflow. Simplify writing notes, project and task management, and collaboration. Whether for personal, student or professional use, Notion scales to meet your individual needs with customization tools for everyone. FREE FOR PERSONAL USE • Create as many notes, docs, and content as you want. • Use one of thousands of templates to get started. FREE TO TRY WITH YOUR TEAM • Millions run on Notion every day, from next-generation startups to established enterprises. • Import Google Docs, PDFs, and other content types easily to get started • Write and organize meeting notes, or transcribe with AI. • Collaboration and team work at your fingertips, in one connected workspace. • Connect tools like Figma, Slack, and GitHub to Notion. FREE FOR STUDENTS • Your study planner, class notes, to do lists and more, your way. Loved by millions of students worldwide. • Get organized for your best school year yet with beautiful, customizable templates created by students, for students. NOTES & DOCS Communication is made efficient with Notion's flexible building blocks. • Create docs with beautiful templates, images, to-dos, and 50+ more content types. • Meeting notes, projects, design systems, pitch decks, and more. • Find exactly what you need using Search with powerful filters to find content across your workspace. TASKS & PROJECTS Catch all details big and small in any workflow. • Workflow manager: Create your own priority labels, status tags, and automations to choose the exact info you want to track. • Capture every detail in a table. Break projects into manageable tasks to get the work done. AI One tool that does it all - search, generate, analyze, and chat - right inside Notion. • Write better. Use Notion AI to help write and brainstorm. • Get answers. Ask Notion AI questions about all your content and get answers in seconds. • Autofill tables. Notion AI turns overwhelming data into clear, actionable information — automatically. SYNCS WITH BROWSER, MAC, AND WINDOWS APPS. • Pick up on mobile where you left off on desktop. MORE PRODUCTIVITY. FEWER TOOLS. • Track to-dos, write notes, create docs, and manage projects in one connected workspace. THINK IT. MAKE IT. Updated on Jan 13, 2026 Productivity Data safety arrow_forward Safety starts with understanding how developers collect and share your data. Data privacy and security practices may vary based on your use, region, and age. The developer provided this information and may update it over time. This app may share these data types with third parties Personal info, App activity and 2 others This app may collect these data types Personal info, Photos and videos and 5 others Data is encrypted in transit You can request that data be deleted See details Ratings and reviews Ratings and reviews are verified info_outline arrow_forward Ratings and reviews are verified info_outline phone_android Phone laptop Chromebook tablet_android Tablet 4.8 319K reviews 5 4 3 2 1 Sommy Nriama more_vert Flag inappropriate Show review history <p | 2026-01-13T09:29:59 |
https://play.google.com/store/apps/details?id=notion.id&hl=es_PR | Notion: Notes, Tasks, AI - Apps on Google Play Games Apps Books Kids google_logo Play Games Apps Books Kids none search help_outline Sign in with Google play_apps Library & devices payment Payments & subscriptions reviews My Play activity redeem Offers Play Pass Personalization in Play settings Settings Privacy Policy • Terms of Service Games Apps Books Kids Notion: Notes, Tasks, AI Notion Labs, Inc. In-app purchases 4.8 star 327K reviews 10M+ Downloads Rated for 3+ info Install Share Add to wishlist About this app arrow_forward Whether you’re looking to track your personal to-do’s, write and organize class notes, or run project management with a team, Notion is the AI-powered workspace that works your way, for any need. Keep track of your personal and professional goals, take notes about what you care about, and stay organized. "AI's everything app" — Forbes Notion is a productivity app where you can write, plan, and organize your notes, projects, tasks and more - all in one place. Ask Notion AI about project updates, upcoming tasks, and suggestions for a more streamlined workflow. Simplify writing notes, project and task management, and collaboration. Whether for personal, student or professional use, Notion scales to meet your individual needs with customization tools for everyone. FREE FOR PERSONAL USE • Create as many notes, docs, and content as you want. • Use one of thousands of templates to get started. FREE TO TRY WITH YOUR TEAM • Millions run on Notion every day, from next-generation startups to established enterprises. • Import Google Docs, PDFs, and other content types easily to get started • Write and organize meeting notes, or transcribe with AI. • Collaboration and team work at your fingertips, in one connected workspace. • Connect tools like Figma, Slack, and GitHub to Notion. FREE FOR STUDENTS • Your study planner, class notes, to do lists and more, your way. Loved by millions of students worldwide. • Get organized for your best school year yet with beautiful, customizable templates created by students, for students. NOTES & DOCS Communication is made efficient with Notion's flexible building blocks. • Create docs with beautiful templates, images, to-dos, and 50+ more content types. • Meeting notes, projects, design systems, pitch decks, and more. • Find exactly what you need using Search with powerful filters to find content across your workspace. TASKS & PROJECTS Catch all details big and small in any workflow. • Workflow manager: Create your own priority labels, status tags, and automations to choose the exact info you want to track. • Capture every detail in a table. Break projects into manageable tasks to get the work done. AI One tool that does it all - search, generate, analyze, and chat - right inside Notion. • Write better. Use Notion AI to help write and brainstorm. • Get answers. Ask Notion AI questions about all your content and get answers in seconds. • Autofill tables. Notion AI turns overwhelming data into clear, actionable information — automatically. SYNCS WITH BROWSER, MAC, AND WINDOWS APPS. • Pick up on mobile where you left off on desktop. MORE PRODUCTIVITY. FEWER TOOLS. • Track to-dos, write notes, create docs, and manage projects in one connected workspace. THINK IT. MAKE IT. Updated on Jan 13, 2026 Productivity Data safety arrow_forward Safety starts with understanding how developers collect and share your data. Data privacy and security practices may vary based on your use, region, and age. The developer provided this information and may update it over time. This app may share these data types with third parties Personal info, App activity and 2 others This app may collect these data types Personal info, Photos and videos and 5 others Data is encrypted in transit You can request that data be deleted See details Ratings and reviews Ratings and reviews are verified info_outline arrow_forward Ratings and reviews are verified info_outline phone_android Phone laptop Chromebook tablet_android Tablet 4.8 319K reviews 5 4 3 2 1 Sommy Nriama more_vert Flag inappropriate Show review history <path d="M12 17.27L18.18 | 2026-01-13T09:29:59 |
https://www.notion.com/de/enterprise | Notion für Unternehmen Notion Funktionen Notion-KI Erschaffen, schreiben, automatisieren Agenten Übernehmen manuelle Aufgaben Enterprise Suche Finde Antworten in Sekundenschnelle Smart Notes Perfekt geschrieben von der KI Dokumente Einfach und leistungsstark Wissensdatenbank Bündle dein Wissen Projekte Verwalte jede Art von Projekt Websites Veröffentliche alles Mögliche im Handumdrehen Loslegen KI-Anwendungsfälle entdecken Schau dir an, wozu die Notion-KI in der Lage ist Marktplatz durchstöbern Vorlagen für alles Mögliche Einbindungen anzeigen Verbinde deine Apps mit Notion Web Clipper herunterladen Speichere Inhalte aus dem Web in Notion Teste die Desktop-App von Notion für mehr Geschwindigkeit App herunterladen Mail Calendar KI Enterprise Tarife Erkunden Teams Entwicklung und Produkt Design Marketing IT Teamgröße Start-ups KMUs Konzerne Bildungswesen Lernen Hilfe-Center Notion Academy Erfahrungsberichte von Kund/-innen Blog Community Partnerprogramme Entwickeln API Vorlagen Sicherheit Beratung Fordere eine Demo an Anmelden Nutze Notion kostenlos Notion für Unternehmen Wissen und Arbeit miteinander verbunden. Ein sicherer KI-Workspace, in dem Unternehmensteams gemeinsam planen, zusammenarbeiten und Projekte schneller umsetzen. Demo anfordern 98 % der Forbes Cloud 100 vertrauen uns Firmenwissen Ein zentraler Ort – strukturiert, durchsuchbar und verlässlich. Enterprise Search Antworten in Notion und verknüpften Apps mit einem Klick finden. Integrierte Projekte Aufgaben planen, Fortschritte verfolgen und Teams ausrichten. Workflows und Einbindungen Automatisiere jeden Prozess und integriere deine Tools. wip-aifw-company-home Enterprise Search #1 Wissensdatenbank und KI-Schreibassistent (G2) 98 % der Forbes Cloud 100-Teams nutzen Notion 62 % der Fortune-100-Unternehmen nutzen Notion Die All-in-One-KI – genau dort, wo du arbeitest. KI mit dem richtigen Kontext Es ist nicht nur ein weiteres allgemeines KI-Tool – es ist KI, die auf dem Wissen und den Workflows deines Teams beruht. Ein KI-Tool für alles Brainstorming, Schreiben, Codieren, Suchen und Automatisieren von Workflows – alles in Notion. Keine Notwendigkeit für mehrere KI-Punktlösungen. Vollständig in deine tägliche Arbeit integriert Kein ständiger App- oder Kontextwechsel – greife direkt dort auf KI zu, wo du planst, erstellst, verfolgst und zusammenarbeitest. Leistungsstark und sicher KI-Steuerung, Sicherheit und Admin-Kontrollen auf Unternehmensebene ohne Datenspeicherung oder Training mit deinen Daten. Eine Plattform, auf der du deine gesamte Arbeit erledigen kannst, ist unglaublich leistungsstark. Notion ist diese Plattform. Nick Erdenberger GTM, OpenAI Befähigend Einfacher Start, angenehme Nutzung. Notion ist ein leistungsstarker und dennoch intuitiv bedienbarer Workspace, den Teams tatsächlich nutzen wollen. Individuell anpassbar Flexibles Design, das gemeinsam mit dir wächst. Ein anpassungsfähiger Workspace, der sich an die Bedürfnisse deines Teams anpasst und skalierbar ist, reduziert den Bedarf an Einzellösungen, noch mehr unterschiedlichen Tools und zusätzlichen Kosten. Vernetzt Alle Teams auf der gleichen Seite – immer. All deine Tools, Teams und Arbeit in einem organisierten, durch KI durchsuchbaren Workspace – damit Teams aufeinander abgestimmt bleiben, schneller arbeiten und bessere Entscheidungen treffen können. Erfahrungsberichte von Kunden und Kundinnen entdecken -> Von den innovativsten Teams geliebt. Erfahrungsberichte von Kunden und Kundinnen entdecken -> Benutzerfreundlichkeit ist eines der wesentlichen Merkmale von Notion. Du kannst ganz einfach visuell durch Inhalte navigieren und dir merken, wo sich etwas befindet. Marie Szuts Head of People Ops, Figma Notion erspart neuen Mitarbeitenden Tage, wenn nicht sogar Wochen bei der Einarbeitung, da sie Informationen schneller finden und daraus lernen können. Scott Entwistle Senior Recruiter, Remote Notion bot uns den leistungsstärksten und effektivsten Ansatz zur Optimierung unseres Workflows. Rahim Makani Produktdirektor, Match Unsere optimierten Workflows in Notion sparen uns nicht nur Zeit, sondern erleichtern es uns auch, über Aufgabendetails und Fortschritte auf dem Laufenden zu bleiben. Taku Wakasugi Research, Toyota Notion-KI entlastet Produktteams von administrativen Aufgaben, sodass sie sich auf das konzentrieren können, was sie am besten können: großartige Produkte entwickeln. Geoff Charles CPO, Ramp Was früher eine stundenlange Fehlerbehebung erforderte, kann jetzt in wenigen Minuten gelöst werden, indem man einfach Notion-KI fragt. John Allard Engineering, OpenAI Vereinfache deine Produktentwicklung. Entwickle bessere Produkte schneller, indem du deinen gesamten Entwicklungsprozess in einer vernetzten Plattform optimierst. Mehr erfahren → Notion-KI entlastet Produktteams von administrativen Aufgaben und sorgt dafür, dass sie sich auf das konzentrieren können, was sie am besten können – großartige Produkte entwickeln. Geoff Charles Chief Product Officer, Ramp Einbindungen Verbinde all deine wichtigen Tools. Führe all deine Tools an einem Ort zusammen. Integriere, synchronisiere und automatisiere Workflows, bette umfangreiche Informationen ein und finde Antworten in all deinen Apps. Alle Einbindungen anzeigen → Entwickle mutig mit erstklassigem Support und Sicherheit. Professionelle Dienstleistungen Entwirf, implementiere und automatisiere deinen Notion-Workspace in großem Umfang mit professionellem Know-how. Fest zugeordnete Beratung Customer Success unterstützt dich bei der Workspace-Einrichtung, beim Onboarding und bei bewährten Praktiken. Premium-Support Maßgeschneiderte, proaktive Rund-um-die-Uhr-Supportangebote für Teams mit spezielleren Anforderungen. Identitätsmanagement SAML-basierte SSO-Integration für sicheren Mitarbeiterzugriff. SCIM-Nutzungsbereitstellung Einfaches Erstellen, Entfernen, Aktualisieren oder Abrufen beliebiger Benutzer/-innen oder Gruppen. Workspace- und Domain-Management Zentralisierte Sicherheits-, Compliance-, Analyse- und Audit-Tools. Globale Compliance-Standards DSGVO-, CCPA- und HIPAA-Zertifizierungen Sicherheitszertifikate von Drittanbietern SOC 2 Typ 2, BSI C5 und ISO (27001, 27701, 27017, 27018) KI-Steuerung Kein Training und keine Speicherung deiner Daten durch LLM-Anbieter. Stabiler Datenschutz AES-256-Verschlüsselung im Ruhezustand und TLS 1.2+ bei Übertragung Datenresidenz Optionen in EU- und US-Rechenzentren Integration von Partnern für Sicherheit und Compliance Integriere deine SIEM-, DLP- und Compliance-Plattformen. Einige Ressourcen für deinen Einstieg. Harvard-Bericht: Wie KI die Wissensarbeit revolutioniert Herunterladen → Dein zentraler Produktentwicklungs-Hub in Notion Anleitung lesen → Teste eine selbstgesteuerte Demo eines Notion-Workspace. Mache einen Rundgang → Ein KI-Workspace, maßgeschneidert für jedes Team. Setze dich mit einem Experten oder einer Expertin in Verbindung, um zu erfahren, was mit Notion alles möglich ist. Demo anfordern Deutsch Cookie-Einstellungen © 2026 Notion Labs, Inc. Unternehmen Über uns Karriere Sicherheit Status Nutzungsbedingungen und Datenschutz Deine Datenschutzrechte Download iOS und Android Mac und Windows Calendar Web Clipper Ressourcen Hilfe-Center Preise Blog Community Einbindungen Vorlagen Partnerprogramme Notion für Unternehmen Kleine Unternehmen Persönlich Mehr entdecken → | 2026-01-13T09:29:59 |
https://play.google.com/store/apps/details?id=notion.id&hl=lo | Notion: Notes, Tasks, AI - Apps on Google Play Games Apps Books Kids google_logo Play Games Apps Books Kids none search help_outline Sign in with Google play_apps Library & devices payment Payments & subscriptions reviews My Play activity redeem Offers Play Pass Personalization in Play settings Settings Privacy Policy • Terms of Service Games Apps Books Kids Notion: Notes, Tasks, AI Notion Labs, Inc. In-app purchases 4.8 star 327K reviews 10M+ Downloads Rated for 3+ info Install Share Add to wishlist About this app arrow_forward Whether you’re looking to track your personal to-do’s, write and organize class notes, or run project management with a team, Notion is the AI-powered workspace that works your way, for any need. Keep track of your personal and professional goals, take notes about what you care about, and stay organized. "AI's everything app" — Forbes Notion is a productivity app where you can write, plan, and organize your notes, projects, tasks and more - all in one place. Ask Notion AI about project updates, upcoming tasks, and suggestions for a more streamlined workflow. Simplify writing notes, project and task management, and collaboration. Whether for personal, student or professional use, Notion scales to meet your individual needs with customization tools for everyone. FREE FOR PERSONAL USE • Create as many notes, docs, and content as you want. • Use one of thousands of templates to get started. FREE TO TRY WITH YOUR TEAM • Millions run on Notion every day, from next-generation startups to established enterprises. • Import Google Docs, PDFs, and other content types easily to get started • Write and organize meeting notes, or transcribe with AI. • Collaboration and team work at your fingertips, in one connected workspace. • Connect tools like Figma, Slack, and GitHub to Notion. FREE FOR STUDENTS • Your study planner, class notes, to do lists and more, your way. Loved by millions of students worldwide. • Get organized for your best school year yet with beautiful, customizable templates created by students, for students. NOTES & DOCS Communication is made efficient with Notion's flexible building blocks. • Create docs with beautiful templates, images, to-dos, and 50+ more content types. • Meeting notes, projects, design systems, pitch decks, and more. • Find exactly what you need using Search with powerful filters to find content across your workspace. TASKS & PROJECTS Catch all details big and small in any workflow. • Workflow manager: Create your own priority labels, status tags, and automations to choose the exact info you want to track. • Capture every detail in a table. Break projects into manageable tasks to get the work done. AI One tool that does it all - search, generate, analyze, and chat - right inside Notion. • Write better. Use Notion AI to help write and brainstorm. • Get answers. Ask Notion AI questions about all your content and get answers in seconds. • Autofill tables. Notion AI turns overwhelming data into clear, actionable information — automatically. SYNCS WITH BROWSER, MAC, AND WINDOWS APPS. • Pick up on mobile where you left off on desktop. MORE PRODUCTIVITY. FEWER TOOLS. • Track to-dos, write notes, create docs, and manage projects in one connected workspace. THINK IT. MAKE IT. Updated on Jan 13, 2026 Productivity Data safety arrow_forward Safety starts with understanding how developers collect and share your data. Data privacy and security practices may vary based on your use, region, and age. The developer provided this information and may update it over time. This app may share these data types with third parties Personal info, App activity and 2 others This app may collect these data types Personal info, Photos and videos and 5 others Data is encrypted in transit You can request that data be deleted See details Ratings and reviews Ratings and reviews are verified info_outline arrow_forward Ratings and reviews are verified info_outline phone_android Phone laptop Chromebook tablet_android Tablet 4.8 319K reviews 5 4 3 2 1 Sommy Nriama more_vert Flag inappropriate Show review history <path d="M0 0h24v24H0z" fill= | 2026-01-13T09:29:59 |
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https://play.google.com/store/apps/details?id=notion.id&hl=es_EC | Notion: Notes, Tasks, AI - Apps on Google Play Games Apps Books Kids google_logo Play Games Apps Books Kids none search help_outline Sign in with Google play_apps Library & devices payment Payments & subscriptions reviews My Play activity redeem Offers Play Pass Personalization in Play settings Settings Privacy Policy • Terms of Service Games Apps Books Kids Notion: Notes, Tasks, AI Notion Labs, Inc. In-app purchases 4.8 star 327K reviews 10M+ Downloads Rated for 3+ info Install Share Add to wishlist About this app arrow_forward Whether you’re looking to track your personal to-do’s, write and organize class notes, or run project management with a team, Notion is the AI-powered workspace that works your way, for any need. Keep track of your personal and professional goals, take notes about what you care about, and stay organized. "AI's everything app" — Forbes Notion is a productivity app where you can write, plan, and organize your notes, projects, tasks and more - all in one place. Ask Notion AI about project updates, upcoming tasks, and suggestions for a more streamlined workflow. Simplify writing notes, project and task management, and collaboration. Whether for personal, student or professional use, Notion scales to meet your individual needs with customization tools for everyone. FREE FOR PERSONAL USE • Create as many notes, docs, and content as you want. • Use one of thousands of templates to get started. FREE TO TRY WITH YOUR TEAM • Millions run on Notion every day, from next-generation startups to established enterprises. • Import Google Docs, PDFs, and other content types easily to get started • Write and organize meeting notes, or transcribe with AI. • Collaboration and team work at your fingertips, in one connected workspace. • Connect tools like Figma, Slack, and GitHub to Notion. FREE FOR STUDENTS • Your study planner, class notes, to do lists and more, your way. Loved by millions of students worldwide. • Get organized for your best school year yet with beautiful, customizable templates created by students, for students. NOTES & DOCS Communication is made efficient with Notion's flexible building blocks. • Create docs with beautiful templates, images, to-dos, and 50+ more content types. • Meeting notes, projects, design systems, pitch decks, and more. • Find exactly what you need using Search with powerful filters to find content across your workspace. TASKS & PROJECTS Catch all details big and small in any workflow. • Workflow manager: Create your own priority labels, status tags, and automations to choose the exact info you want to track. • Capture every detail in a table. Break projects into manageable tasks to get the work done. AI One tool that does it all - search, generate, analyze, and chat - right inside Notion. • Write better. Use Notion AI to help write and brainstorm. • Get answers. Ask Notion AI questions about all your content and get answers in seconds. • Autofill tables. Notion AI turns overwhelming data into clear, actionable information — automatically. SYNCS WITH BROWSER, MAC, AND WINDOWS APPS. • Pick up on mobile where you left off on desktop. MORE PRODUCTIVITY. FEWER TOOLS. • Track to-dos, write notes, create docs, and manage projects in one connected workspace. THINK IT. MAKE IT. Updated on Jan 13, 2026 Productivity Data safety arrow_forward Safety starts with understanding how developers collect and share your data. Data privacy and security practices may vary based on your use, region, and age. The developer provided this information and may update it over time. This app may share these data types with third parties Personal info, App activity and 2 others This app may collect these data types Personal info, Photos and videos and 5 others Data is encrypted in transit You can request that data be deleted See details Ratings and reviews Ratings and reviews are verified info_outline arrow_forward Ratings and reviews are verified info_outline phone_android Phone laptop Chromebook tablet_android Tablet 4.8 319K reviews 5 4 3 2 1 Sommy Nriama more_vert Flag inappropriate Show review history <path d="M12 17.27L1 | 2026-01-13T09:29:59 |
https://play.google.com/store/apps/details?id=notion.id&hl=fr_CA | Notion: Notes, Tasks, AI - Apps on Google Play Games Apps Books Kids google_logo Play Games Apps Books Kids none search help_outline Sign in with Google play_apps Library & devices payment Payments & subscriptions reviews My Play activity redeem Offers Play Pass Personalization in Play settings Settings Privacy Policy • Terms of Service Games Apps Books Kids Notion: Notes, Tasks, AI Notion Labs, Inc. In-app purchases 4.8 star 327K reviews 10M+ Downloads Rated for 3+ info Install Share Add to wishlist About this app arrow_forward Whether you’re looking to track your personal to-do’s, write and organize class notes, or run project management with a team, Notion is the AI-powered workspace that works your way, for any need. Keep track of your personal and professional goals, take notes about what you care about, and stay organized. "AI's everything app" — Forbes Notion is a productivity app where you can write, plan, and organize your notes, projects, tasks and more - all in one place. Ask Notion AI about project updates, upcoming tasks, and suggestions for a more streamlined workflow. Simplify writing notes, project and task management, and collaboration. Whether for personal, student or professional use, Notion scales to meet your individual needs with customization tools for everyone. FREE FOR PERSONAL USE • Create as many notes, docs, and content as you want. • Use one of thousands of templates to get started. FREE TO TRY WITH YOUR TEAM • Millions run on Notion every day, from next-generation startups to established enterprises. • Import Google Docs, PDFs, and other content types easily to get started • Write and organize meeting notes, or transcribe with AI. • Collaboration and team work at your fingertips, in one connected workspace. • Connect tools like Figma, Slack, and GitHub to Notion. FREE FOR STUDENTS • Your study planner, class notes, to do lists and more, your way. Loved by millions of students worldwide. • Get organized for your best school year yet with beautiful, customizable templates created by students, for students. NOTES & DOCS Communication is made efficient with Notion's flexible building blocks. • Create docs with beautiful templates, images, to-dos, and 50+ more content types. • Meeting notes, projects, design systems, pitch decks, and more. • Find exactly what you need using Search with powerful filters to find content across your workspace. TASKS & PROJECTS Catch all details big and small in any workflow. • Workflow manager: Create your own priority labels, status tags, and automations to choose the exact info you want to track. • Capture every detail in a table. Break projects into manageable tasks to get the work done. AI One tool that does it all - search, generate, analyze, and chat - right inside Notion. • Write better. Use Notion AI to help write and brainstorm. • Get answers. Ask Notion AI questions about all your content and get answers in seconds. • Autofill tables. Notion AI turns overwhelming data into clear, actionable information — automatically. SYNCS WITH BROWSER, MAC, AND WINDOWS APPS. • Pick up on mobile where you left off on desktop. MORE PRODUCTIVITY. FEWER TOOLS. • Track to-dos, write notes, create docs, and manage projects in one connected workspace. THINK IT. MAKE IT. Updated on Jan 13, 2026 Productivity Data safety arrow_forward Safety starts with understanding how developers collect and share your data. Data privacy and security practices may vary based on your use, region, and age. The developer provided this information and may update it over time. This app may share these data types with third parties Personal info, App activity and 2 others This app may collect these data types Personal info, Photos and videos and 5 others Data is encrypted in transit You can request that data be deleted See details Ratings and reviews Ratings and reviews are verified info_outline arrow_forward Ratings and reviews are verified info_outline phone_android Phone laptop Chromebook tablet_android Tablet 4.8 319K reviews 5 4 3 2 1 Sommy Nriama more_vert Flag inappropriate Show review history <path d="M12 17.27L1 | 2026-01-13T09:29:59 |
https://play.google.com/store/apps/details?id=notion.id&hl=es_SV | Notion: Notes, Tasks, AI - Apps on Google Play Games Apps Books Kids google_logo Play Games Apps Books Kids none search help_outline Sign in with Google play_apps Library & devices payment Payments & subscriptions reviews My Play activity redeem Offers Play Pass Personalization in Play settings Settings Privacy Policy • Terms of Service Games Apps Books Kids Notion: Notes, Tasks, AI Notion Labs, Inc. In-app purchases 4.8 star 327K reviews 10M+ Downloads Rated for 3+ info Install Share Add to wishlist About this app arrow_forward Whether you’re looking to track your personal to-do’s, write and organize class notes, or run project management with a team, Notion is the AI-powered workspace that works your way, for any need. Keep track of your personal and professional goals, take notes about what you care about, and stay organized. "AI's everything app" — Forbes Notion is a productivity app where you can write, plan, and organize your notes, projects, tasks and more - all in one place. Ask Notion AI about project updates, upcoming tasks, and suggestions for a more streamlined workflow. Simplify writing notes, project and task management, and collaboration. Whether for personal, student or professional use, Notion scales to meet your individual needs with customization tools for everyone. FREE FOR PERSONAL USE • Create as many notes, docs, and content as you want. • Use one of thousands of templates to get started. FREE TO TRY WITH YOUR TEAM • Millions run on Notion every day, from next-generation startups to established enterprises. • Import Google Docs, PDFs, and other content types easily to get started • Write and organize meeting notes, or transcribe with AI. • Collaboration and team work at your fingertips, in one connected workspace. • Connect tools like Figma, Slack, and GitHub to Notion. FREE FOR STUDENTS • Your study planner, class notes, to do lists and more, your way. Loved by millions of students worldwide. • Get organized for your best school year yet with beautiful, customizable templates created by students, for students. NOTES & DOCS Communication is made efficient with Notion's flexible building blocks. • Create docs with beautiful templates, images, to-dos, and 50+ more content types. • Meeting notes, projects, design systems, pitch decks, and more. • Find exactly what you need using Search with powerful filters to find content across your workspace. TASKS & PROJECTS Catch all details big and small in any workflow. • Workflow manager: Create your own priority labels, status tags, and automations to choose the exact info you want to track. • Capture every detail in a table. Break projects into manageable tasks to get the work done. AI One tool that does it all - search, generate, analyze, and chat - right inside Notion. • Write better. Use Notion AI to help write and brainstorm. • Get answers. Ask Notion AI questions about all your content and get answers in seconds. • Autofill tables. Notion AI turns overwhelming data into clear, actionable information — automatically. SYNCS WITH BROWSER, MAC, AND WINDOWS APPS. • Pick up on mobile where you left off on desktop. MORE PRODUCTIVITY. FEWER TOOLS. • Track to-dos, write notes, create docs, and manage projects in one connected workspace. THINK IT. MAKE IT. Updated on Jan 13, 2026 Productivity Data safety arrow_forward Safety starts with understanding how developers collect and share your data. Data privacy and security practices may vary based on your use, region, and age. The developer provided this information and may update it over time. This app may share these data types with third parties Personal info, App activity and 2 others This app may collect these data types Personal info, Photos and videos and 5 others Data is encrypted in transit You can request that data be deleted See details Ratings and reviews Ratings and reviews are verified info_outline arrow_forward Ratings and reviews are verified info_outline phone_android Phone laptop Chromebook tablet_android Tablet 4.8 319K reviews 5 4 3 2 1 Sommy Nriama more_vert Flag inappropriate Show review history <path d="M0 0h24v24H0z" | 2026-01-13T09:29:59 |
https://play.google.com/store/apps/details?id=notion.id&hl=hi | Notion: Notes, Tasks, AI - Apps on Google Play Games Apps Books Kids google_logo Play Games Apps Books Kids none search help_outline Sign in with Google play_apps Library & devices payment Payments & subscriptions reviews My Play activity redeem Offers Play Pass Personalization in Play settings Settings Privacy Policy • Terms of Service Games Apps Books Kids Notion: Notes, Tasks, AI Notion Labs, Inc. In-app purchases 4.8 star 327K reviews 10M+ Downloads Rated for 3+ info Install Share Add to wishlist About this app arrow_forward Whether you’re looking to track your personal to-do’s, write and organize class notes, or run project management with a team, Notion is the AI-powered workspace that works your way, for any need. Keep track of your personal and professional goals, take notes about what you care about, and stay organized. "AI's everything app" — Forbes Notion is a productivity app where you can write, plan, and organize your notes, projects, tasks and more - all in one place. Ask Notion AI about project updates, upcoming tasks, and suggestions for a more streamlined workflow. Simplify writing notes, project and task management, and collaboration. Whether for personal, student or professional use, Notion scales to meet your individual needs with customization tools for everyone. FREE FOR PERSONAL USE • Create as many notes, docs, and content as you want. • Use one of thousands of templates to get started. FREE TO TRY WITH YOUR TEAM • Millions run on Notion every day, from next-generation startups to established enterprises. • Import Google Docs, PDFs, and other content types easily to get started • Write and organize meeting notes, or transcribe with AI. • Collaboration and team work at your fingertips, in one connected workspace. • Connect tools like Figma, Slack, and GitHub to Notion. FREE FOR STUDENTS • Your study planner, class notes, to do lists and more, your way. Loved by millions of students worldwide. • Get organized for your best school year yet with beautiful, customizable templates created by students, for students. NOTES & DOCS Communication is made efficient with Notion's flexible building blocks. • Create docs with beautiful templates, images, to-dos, and 50+ more content types. • Meeting notes, projects, design systems, pitch decks, and more. • Find exactly what you need using Search with powerful filters to find content across your workspace. TASKS & PROJECTS Catch all details big and small in any workflow. • Workflow manager: Create your own priority labels, status tags, and automations to choose the exact info you want to track. • Capture every detail in a table. Break projects into manageable tasks to get the work done. AI One tool that does it all - search, generate, analyze, and chat - right inside Notion. • Write better. Use Notion AI to help write and brainstorm. • Get answers. Ask Notion AI questions about all your content and get answers in seconds. • Autofill tables. Notion AI turns overwhelming data into clear, actionable information — automatically. SYNCS WITH BROWSER, MAC, AND WINDOWS APPS. • Pick up on mobile where you left off on desktop. MORE PRODUCTIVITY. FEWER TOOLS. • Track to-dos, write notes, create docs, and manage projects in one connected workspace. THINK IT. MAKE IT. Updated on Jan 13, 2026 Productivity Data safety arrow_forward Safety starts with understanding how developers collect and share your data. Data privacy and security practices may vary based on your use, region, and age. The developer provided this information and may update it over time. This app may share these data types with third parties Personal info, App activity and 2 others This app may collect these data types Personal info, Photos and videos and 5 others Data is encrypted in transit You can request that data be deleted See details Ratings and reviews Ratings and reviews are verified info_outline arrow_forward Ratings and reviews are verified info_outline phone_android Phone laptop Chromebook tablet_android Tablet 4.8 319K reviews 5 4 3 2 1 Sommy Nriama more_vert Flag inappropriate Show review history <path d="M12 17.27L18 | 2026-01-13T09:29:59 |
https://play.google.com/store/apps/details?id=notion.id&hl=mk | Notion: Notes, Tasks, AI - Apps on Google Play Games Apps Books Kids google_logo Play Games Apps Books Kids none search help_outline Sign in with Google play_apps Library & devices payment Payments & subscriptions reviews My Play activity redeem Offers Play Pass Personalization in Play settings Settings Privacy Policy • Terms of Service Games Apps Books Kids Notion: Notes, Tasks, AI Notion Labs, Inc. In-app purchases 4.8 star 327K reviews 10M+ Downloads Rated for 3+ info Install Share Add to wishlist About this app arrow_forward Whether you’re looking to track your personal to-do’s, write and organize class notes, or run project management with a team, Notion is the AI-powered workspace that works your way, for any need. Keep track of your personal and professional goals, take notes about what you care about, and stay organized. "AI's everything app" — Forbes Notion is a productivity app where you can write, plan, and organize your notes, projects, tasks and more - all in one place. Ask Notion AI about project updates, upcoming tasks, and suggestions for a more streamlined workflow. Simplify writing notes, project and task management, and collaboration. Whether for personal, student or professional use, Notion scales to meet your individual needs with customization tools for everyone. FREE FOR PERSONAL USE • Create as many notes, docs, and content as you want. • Use one of thousands of templates to get started. FREE TO TRY WITH YOUR TEAM • Millions run on Notion every day, from next-generation startups to established enterprises. • Import Google Docs, PDFs, and other content types easily to get started • Write and organize meeting notes, or transcribe with AI. • Collaboration and team work at your fingertips, in one connected workspace. • Connect tools like Figma, Slack, and GitHub to Notion. FREE FOR STUDENTS • Your study planner, class notes, to do lists and more, your way. Loved by millions of students worldwide. • Get organized for your best school year yet with beautiful, customizable templates created by students, for students. NOTES & DOCS Communication is made efficient with Notion's flexible building blocks. • Create docs with beautiful templates, images, to-dos, and 50+ more content types. • Meeting notes, projects, design systems, pitch decks, and more. • Find exactly what you need using Search with powerful filters to find content across your workspace. TASKS & PROJECTS Catch all details big and small in any workflow. • Workflow manager: Create your own priority labels, status tags, and automations to choose the exact info you want to track. • Capture every detail in a table. Break projects into manageable tasks to get the work done. AI One tool that does it all - search, generate, analyze, and chat - right inside Notion. • Write better. Use Notion AI to help write and brainstorm. • Get answers. Ask Notion AI questions about all your content and get answers in seconds. • Autofill tables. Notion AI turns overwhelming data into clear, actionable information — automatically. SYNCS WITH BROWSER, MAC, AND WINDOWS APPS. • Pick up on mobile where you left off on desktop. MORE PRODUCTIVITY. FEWER TOOLS. • Track to-dos, write notes, create docs, and manage projects in one connected workspace. THINK IT. MAKE IT. Updated on Jan 13, 2026 Productivity Data safety arrow_forward Safety starts with understanding how developers collect and share your data. Data privacy and security practices may vary based on your use, region, and age. The developer provided this information and may update it over time. This app may share these data types with third parties Personal info, App activity and 2 others This app may collect these data types Personal info, Photos and videos and 5 others Data is encrypted in transit You can request that data be deleted See details Ratings and reviews Ratings and reviews are verified info_outline arrow_forward Ratings and reviews are verified info_outline phone_android Phone laptop Chromebook tablet_android Tablet 4.8 319K reviews 5 4 3 2 1 Sommy Nriama more_vert Flag inappropriate Show review history <pa | 2026-01-13T09:29:59 |
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https://play.google.com/store/apps/details?id=notion.id&hl=ka | Notion: Notes, Tasks, AI - Apps on Google Play Games Apps Books Kids google_logo Play Games Apps Books Kids none search help_outline Sign in with Google play_apps Library & devices payment Payments & subscriptions reviews My Play activity redeem Offers Play Pass Personalization in Play settings Settings Privacy Policy • Terms of Service Games Apps Books Kids Notion: Notes, Tasks, AI Notion Labs, Inc. In-app purchases 4.8 star 327K reviews 10M+ Downloads Rated for 3+ info Install Share Add to wishlist About this app arrow_forward Whether you’re looking to track your personal to-do’s, write and organize class notes, or run project management with a team, Notion is the AI-powered workspace that works your way, for any need. Keep track of your personal and professional goals, take notes about what you care about, and stay organized. "AI's everything app" — Forbes Notion is a productivity app where you can write, plan, and organize your notes, projects, tasks and more - all in one place. Ask Notion AI about project updates, upcoming tasks, and suggestions for a more streamlined workflow. Simplify writing notes, project and task management, and collaboration. Whether for personal, student or professional use, Notion scales to meet your individual needs with customization tools for everyone. FREE FOR PERSONAL USE • Create as many notes, docs, and content as you want. • Use one of thousands of templates to get started. FREE TO TRY WITH YOUR TEAM • Millions run on Notion every day, from next-generation startups to established enterprises. • Import Google Docs, PDFs, and other content types easily to get started • Write and organize meeting notes, or transcribe with AI. • Collaboration and team work at your fingertips, in one connected workspace. • Connect tools like Figma, Slack, and GitHub to Notion. FREE FOR STUDENTS • Your study planner, class notes, to do lists and more, your way. Loved by millions of students worldwide. • Get organized for your best school year yet with beautiful, customizable templates created by students, for students. NOTES & DOCS Communication is made efficient with Notion's flexible building blocks. • Create docs with beautiful templates, images, to-dos, and 50+ more content types. • Meeting notes, projects, design systems, pitch decks, and more. • Find exactly what you need using Search with powerful filters to find content across your workspace. TASKS & PROJECTS Catch all details big and small in any workflow. • Workflow manager: Create your own priority labels, status tags, and automations to choose the exact info you want to track. • Capture every detail in a table. Break projects into manageable tasks to get the work done. AI One tool that does it all - search, generate, analyze, and chat - right inside Notion. • Write better. Use Notion AI to help write and brainstorm. • Get answers. Ask Notion AI questions about all your content and get answers in seconds. • Autofill tables. Notion AI turns overwhelming data into clear, actionable information — automatically. SYNCS WITH BROWSER, MAC, AND WINDOWS APPS. • Pick up on mobile where you left off on desktop. MORE PRODUCTIVITY. FEWER TOOLS. • Track to-dos, write notes, create docs, and manage projects in one connected workspace. THINK IT. MAKE IT. Updated on Jan 13, 2026 Productivity Data safety arrow_forward Safety starts with understanding how developers collect and share your data. Data privacy and security practices may vary based on your use, region, and age. The developer provided this information and may update it over time. This app may share these data types with third parties Personal info, App activity and 2 others This app may collect these data types Personal info, Photos and videos and 5 others Data is encrypted in transit You can request that data be deleted See details Ratings and reviews Ratings and reviews are verified info_outline arrow_forward Ratings and reviews are verified info_outline phone_android Phone laptop Chromebook tablet_android Tablet 4.8 319K reviews 5 4 3 2 1 Sommy Nriama more_vert Flag inappropriate Show review history <path d="M12 17.27L18.18 | 2026-01-13T09:29:59 |
https://play.google.com/store/apps/details?id=notion.id&hl=es_PE | Notion: Notes, Tasks, AI - Apps on Google Play Games Apps Books Kids google_logo Play Games Apps Books Kids none search help_outline Sign in with Google play_apps Library & devices payment Payments & subscriptions reviews My Play activity redeem Offers Play Pass Personalization in Play settings Settings Privacy Policy • Terms of Service Games Apps Books Kids Notion: Notes, Tasks, AI Notion Labs, Inc. In-app purchases 4.8 star 327K reviews 10M+ Downloads Rated for 3+ info Install Share Add to wishlist About this app arrow_forward Whether you’re looking to track your personal to-do’s, write and organize class notes, or run project management with a team, Notion is the AI-powered workspace that works your way, for any need. Keep track of your personal and professional goals, take notes about what you care about, and stay organized. "AI's everything app" — Forbes Notion is a productivity app where you can write, plan, and organize your notes, projects, tasks and more - all in one place. Ask Notion AI about project updates, upcoming tasks, and suggestions for a more streamlined workflow. Simplify writing notes, project and task management, and collaboration. Whether for personal, student or professional use, Notion scales to meet your individual needs with customization tools for everyone. FREE FOR PERSONAL USE • Create as many notes, docs, and content as you want. • Use one of thousands of templates to get started. FREE TO TRY WITH YOUR TEAM • Millions run on Notion every day, from next-generation startups to established enterprises. • Import Google Docs, PDFs, and other content types easily to get started • Write and organize meeting notes, or transcribe with AI. • Collaboration and team work at your fingertips, in one connected workspace. • Connect tools like Figma, Slack, and GitHub to Notion. FREE FOR STUDENTS • Your study planner, class notes, to do lists and more, your way. Loved by millions of students worldwide. • Get organized for your best school year yet with beautiful, customizable templates created by students, for students. NOTES & DOCS Communication is made efficient with Notion's flexible building blocks. • Create docs with beautiful templates, images, to-dos, and 50+ more content types. • Meeting notes, projects, design systems, pitch decks, and more. • Find exactly what you need using Search with powerful filters to find content across your workspace. TASKS & PROJECTS Catch all details big and small in any workflow. • Workflow manager: Create your own priority labels, status tags, and automations to choose the exact info you want to track. • Capture every detail in a table. Break projects into manageable tasks to get the work done. AI One tool that does it all - search, generate, analyze, and chat - right inside Notion. • Write better. Use Notion AI to help write and brainstorm. • Get answers. Ask Notion AI questions about all your content and get answers in seconds. • Autofill tables. Notion AI turns overwhelming data into clear, actionable information — automatically. SYNCS WITH BROWSER, MAC, AND WINDOWS APPS. • Pick up on mobile where you left off on desktop. MORE PRODUCTIVITY. FEWER TOOLS. • Track to-dos, write notes, create docs, and manage projects in one connected workspace. THINK IT. MAKE IT. Updated on Jan 13, 2026 Productivity Data safety arrow_forward Safety starts with understanding how developers collect and share your data. Data privacy and security practices may vary based on your use, region, and age. The developer provided this information and may update it over time. This app may share these data types with third parties Personal info, App activity and 2 others This app may collect these data types Personal info, Photos and videos and 5 others Data is encrypted in transit You can request that data be deleted See details Ratings and reviews Ratings and reviews are verified info_outline arrow_forward Ratings and reviews are verified info_outline phone_android Phone laptop Chromebook tablet_android Tablet 4.8 319K reviews 5 4 3 2 1 Sommy Nriama more_vert Flag inappropriate Show review history <path | 2026-01-13T09:29:59 |
https://www.notion.com/de/enterprise | Notion für Unternehmen Notion Funktionen Notion-KI Erschaffen, schreiben, automatisieren Agenten Übernehmen manuelle Aufgaben Enterprise Suche Finde Antworten in Sekundenschnelle Smart Notes Perfekt geschrieben von der KI Dokumente Einfach und leistungsstark Wissensdatenbank Bündle dein Wissen Projekte Verwalte jede Art von Projekt Websites Veröffentliche alles Mögliche im Handumdrehen Loslegen KI-Anwendungsfälle entdecken Schau dir an, wozu die Notion-KI in der Lage ist Marktplatz durchstöbern Vorlagen für alles Mögliche Einbindungen anzeigen Verbinde deine Apps mit Notion Web Clipper herunterladen Speichere Inhalte aus dem Web in Notion Teste die Desktop-App von Notion für mehr Geschwindigkeit App herunterladen Mail Calendar KI Enterprise Tarife Erkunden Teams Entwicklung und Produkt Design Marketing IT Teamgröße Start-ups KMUs Konzerne Bildungswesen Lernen Hilfe-Center Notion Academy Erfahrungsberichte von Kund/-innen Blog Community Partnerprogramme Entwickeln API Vorlagen Sicherheit Beratung Fordere eine Demo an Anmelden Nutze Notion kostenlos Notion für Unternehmen Wissen und Arbeit miteinander verbunden. Ein sicherer KI-Workspace, in dem Unternehmensteams gemeinsam planen, zusammenarbeiten und Projekte schneller umsetzen. Demo anfordern 98 % der Forbes Cloud 100 vertrauen uns Firmenwissen Ein zentraler Ort – strukturiert, durchsuchbar und verlässlich. Enterprise Search Antworten in Notion und verknüpften Apps mit einem Klick finden. Integrierte Projekte Aufgaben planen, Fortschritte verfolgen und Teams ausrichten. Workflows und Einbindungen Automatisiere jeden Prozess und integriere deine Tools. wip-aifw-company-home Enterprise Search #1 Wissensdatenbank und KI-Schreibassistent (G2) 98 % der Forbes Cloud 100-Teams nutzen Notion 62 % der Fortune-100-Unternehmen nutzen Notion Die All-in-One-KI – genau dort, wo du arbeitest. KI mit dem richtigen Kontext Es ist nicht nur ein weiteres allgemeines KI-Tool – es ist KI, die auf dem Wissen und den Workflows deines Teams beruht. Ein KI-Tool für alles Brainstorming, Schreiben, Codieren, Suchen und Automatisieren von Workflows – alles in Notion. Keine Notwendigkeit für mehrere KI-Punktlösungen. Vollständig in deine tägliche Arbeit integriert Kein ständiger App- oder Kontextwechsel – greife direkt dort auf KI zu, wo du planst, erstellst, verfolgst und zusammenarbeitest. Leistungsstark und sicher KI-Steuerung, Sicherheit und Admin-Kontrollen auf Unternehmensebene ohne Datenspeicherung oder Training mit deinen Daten. Eine Plattform, auf der du deine gesamte Arbeit erledigen kannst, ist unglaublich leistungsstark. Notion ist diese Plattform. Nick Erdenberger GTM, OpenAI Befähigend Einfacher Start, angenehme Nutzung. Notion ist ein leistungsstarker und dennoch intuitiv bedienbarer Workspace, den Teams tatsächlich nutzen wollen. Individuell anpassbar Flexibles Design, das gemeinsam mit dir wächst. Ein anpassungsfähiger Workspace, der sich an die Bedürfnisse deines Teams anpasst und skalierbar ist, reduziert den Bedarf an Einzellösungen, noch mehr unterschiedlichen Tools und zusätzlichen Kosten. Vernetzt Alle Teams auf der gleichen Seite – immer. All deine Tools, Teams und Arbeit in einem organisierten, durch KI durchsuchbaren Workspace – damit Teams aufeinander abgestimmt bleiben, schneller arbeiten und bessere Entscheidungen treffen können. Erfahrungsberichte von Kunden und Kundinnen entdecken -> Von den innovativsten Teams geliebt. Erfahrungsberichte von Kunden und Kundinnen entdecken -> Benutzerfreundlichkeit ist eines der wesentlichen Merkmale von Notion. Du kannst ganz einfach visuell durch Inhalte navigieren und dir merken, wo sich etwas befindet. Marie Szuts Head of People Ops, Figma Notion erspart neuen Mitarbeitenden Tage, wenn nicht sogar Wochen bei der Einarbeitung, da sie Informationen schneller finden und daraus lernen können. Scott Entwistle Senior Recruiter, Remote Notion bot uns den leistungsstärksten und effektivsten Ansatz zur Optimierung unseres Workflows. Rahim Makani Produktdirektor, Match Unsere optimierten Workflows in Notion sparen uns nicht nur Zeit, sondern erleichtern es uns auch, über Aufgabendetails und Fortschritte auf dem Laufenden zu bleiben. Taku Wakasugi Research, Toyota Notion-KI entlastet Produktteams von administrativen Aufgaben, sodass sie sich auf das konzentrieren können, was sie am besten können: großartige Produkte entwickeln. Geoff Charles CPO, Ramp Was früher eine stundenlange Fehlerbehebung erforderte, kann jetzt in wenigen Minuten gelöst werden, indem man einfach Notion-KI fragt. John Allard Engineering, OpenAI Vereinfache deine Produktentwicklung. Entwickle bessere Produkte schneller, indem du deinen gesamten Entwicklungsprozess in einer vernetzten Plattform optimierst. Mehr erfahren → Notion-KI entlastet Produktteams von administrativen Aufgaben und sorgt dafür, dass sie sich auf das konzentrieren können, was sie am besten können – großartige Produkte entwickeln. Geoff Charles Chief Product Officer, Ramp Einbindungen Verbinde all deine wichtigen Tools. Führe all deine Tools an einem Ort zusammen. Integriere, synchronisiere und automatisiere Workflows, bette umfangreiche Informationen ein und finde Antworten in all deinen Apps. Alle Einbindungen anzeigen → Entwickle mutig mit erstklassigem Support und Sicherheit. Professionelle Dienstleistungen Entwirf, implementiere und automatisiere deinen Notion-Workspace in großem Umfang mit professionellem Know-how. Fest zugeordnete Beratung Customer Success unterstützt dich bei der Workspace-Einrichtung, beim Onboarding und bei bewährten Praktiken. Premium-Support Maßgeschneiderte, proaktive Rund-um-die-Uhr-Supportangebote für Teams mit spezielleren Anforderungen. Identitätsmanagement SAML-basierte SSO-Integration für sicheren Mitarbeiterzugriff. SCIM-Nutzungsbereitstellung Einfaches Erstellen, Entfernen, Aktualisieren oder Abrufen beliebiger Benutzer/-innen oder Gruppen. Workspace- und Domain-Management Zentralisierte Sicherheits-, Compliance-, Analyse- und Audit-Tools. Globale Compliance-Standards DSGVO-, CCPA- und HIPAA-Zertifizierungen Sicherheitszertifikate von Drittanbietern SOC 2 Typ 2, BSI C5 und ISO (27001, 27701, 27017, 27018) KI-Steuerung Kein Training und keine Speicherung deiner Daten durch LLM-Anbieter. Stabiler Datenschutz AES-256-Verschlüsselung im Ruhezustand und TLS 1.2+ bei Übertragung Datenresidenz Optionen in EU- und US-Rechenzentren Integration von Partnern für Sicherheit und Compliance Integriere deine SIEM-, DLP- und Compliance-Plattformen. Einige Ressourcen für deinen Einstieg. Harvard-Bericht: Wie KI die Wissensarbeit revolutioniert Herunterladen → Dein zentraler Produktentwicklungs-Hub in Notion Anleitung lesen → Teste eine selbstgesteuerte Demo eines Notion-Workspace. Mache einen Rundgang → Ein KI-Workspace, maßgeschneidert für jedes Team. Setze dich mit einem Experten oder einer Expertin in Verbindung, um zu erfahren, was mit Notion alles möglich ist. Demo anfordern Deutsch Cookie-Einstellungen © 2026 Notion Labs, Inc. Unternehmen Über uns Karriere Sicherheit Status Nutzungsbedingungen und Datenschutz Deine Datenschutzrechte Download iOS und Android Mac und Windows Calendar Web Clipper Ressourcen Hilfe-Center Preise Blog Community Einbindungen Vorlagen Partnerprogramme Notion für Unternehmen Kleine Unternehmen Persönlich Mehr entdecken → | 2026-01-13T09:29:59 |
https://play.google.com/store/apps/details?id=notion.id&hl=hy | Notion: Notes, Tasks, AI - Apps on Google Play Games Apps Books Kids google_logo Play Games Apps Books Kids none search help_outline Sign in with Google play_apps Library & devices payment Payments & subscriptions reviews My Play activity redeem Offers Play Pass Personalization in Play settings Settings Privacy Policy • Terms of Service Games Apps Books Kids Notion: Notes, Tasks, AI Notion Labs, Inc. In-app purchases 4.8 star 327K reviews 10M+ Downloads Rated for 3+ info Install Share Add to wishlist About this app arrow_forward Whether you’re looking to track your personal to-do’s, write and organize class notes, or run project management with a team, Notion is the AI-powered workspace that works your way, for any need. Keep track of your personal and professional goals, take notes about what you care about, and stay organized. "AI's everything app" — Forbes Notion is a productivity app where you can write, plan, and organize your notes, projects, tasks and more - all in one place. Ask Notion AI about project updates, upcoming tasks, and suggestions for a more streamlined workflow. Simplify writing notes, project and task management, and collaboration. Whether for personal, student or professional use, Notion scales to meet your individual needs with customization tools for everyone. FREE FOR PERSONAL USE • Create as many notes, docs, and content as you want. • Use one of thousands of templates to get started. FREE TO TRY WITH YOUR TEAM • Millions run on Notion every day, from next-generation startups to established enterprises. • Import Google Docs, PDFs, and other content types easily to get started • Write and organize meeting notes, or transcribe with AI. • Collaboration and team work at your fingertips, in one connected workspace. • Connect tools like Figma, Slack, and GitHub to Notion. FREE FOR STUDENTS • Your study planner, class notes, to do lists and more, your way. Loved by millions of students worldwide. • Get organized for your best school year yet with beautiful, customizable templates created by students, for students. NOTES & DOCS Communication is made efficient with Notion's flexible building blocks. • Create docs with beautiful templates, images, to-dos, and 50+ more content types. • Meeting notes, projects, design systems, pitch decks, and more. • Find exactly what you need using Search with powerful filters to find content across your workspace. TASKS & PROJECTS Catch all details big and small in any workflow. • Workflow manager: Create your own priority labels, status tags, and automations to choose the exact info you want to track. • Capture every detail in a table. Break projects into manageable tasks to get the work done. AI One tool that does it all - search, generate, analyze, and chat - right inside Notion. • Write better. Use Notion AI to help write and brainstorm. • Get answers. Ask Notion AI questions about all your content and get answers in seconds. • Autofill tables. Notion AI turns overwhelming data into clear, actionable information — automatically. SYNCS WITH BROWSER, MAC, AND WINDOWS APPS. • Pick up on mobile where you left off on desktop. MORE PRODUCTIVITY. FEWER TOOLS. • Track to-dos, write notes, create docs, and manage projects in one connected workspace. THINK IT. MAKE IT. Updated on Jan 13, 2026 Productivity Data safety arrow_forward Safety starts with understanding how developers collect and share your data. Data privacy and security practices may vary based on your use, region, and age. The developer provided this information and may update it over time. This app may share these data types with third parties Personal info, App activity and 2 others This app may collect these data types Personal info, Photos and videos and 5 others Data is encrypted in transit You can request that data be deleted See details Ratings and reviews Ratings and reviews are verified info_outline arrow_forward Ratings and reviews are verified info_outline phone_android Phone laptop Chromebook tablet_android Tablet 4.8 319K reviews 5 4 3 2 1 Sommy Nriama more_vert Flag inappropriate Show review history <path d="M12 17.27L18.18 | 2026-01-13T09:29:59 |
https://play.google.com/store/apps/details?id=notion.id&hl=fa | Notion: Notes, Tasks, AI - Apps on Google Play Games Apps Books Kids google_logo Play Games Apps Books Kids none search help_outline Sign in with Google play_apps Library & devices payment Payments & subscriptions reviews My Play activity redeem Offers Play Pass Personalization in Play settings Settings Privacy Policy • Terms of Service Games Apps Books Kids Notion: Notes, Tasks, AI Notion Labs, Inc. In-app purchases 4.8 star 327K reviews 10M+ Downloads Rated for 3+ info Install Share Add to wishlist About this app arrow_forward Whether you’re looking to track your personal to-do’s, write and organize class notes, or run project management with a team, Notion is the AI-powered workspace that works your way, for any need. Keep track of your personal and professional goals, take notes about what you care about, and stay organized. "AI's everything app" — Forbes Notion is a productivity app where you can write, plan, and organize your notes, projects, tasks and more - all in one place. Ask Notion AI about project updates, upcoming tasks, and suggestions for a more streamlined workflow. Simplify writing notes, project and task management, and collaboration. Whether for personal, student or professional use, Notion scales to meet your individual needs with customization tools for everyone. FREE FOR PERSONAL USE • Create as many notes, docs, and content as you want. • Use one of thousands of templates to get started. FREE TO TRY WITH YOUR TEAM • Millions run on Notion every day, from next-generation startups to established enterprises. • Import Google Docs, PDFs, and other content types easily to get started • Write and organize meeting notes, or transcribe with AI. • Collaboration and team work at your fingertips, in one connected workspace. • Connect tools like Figma, Slack, and GitHub to Notion. FREE FOR STUDENTS • Your study planner, class notes, to do lists and more, your way. Loved by millions of students worldwide. • Get organized for your best school year yet with beautiful, customizable templates created by students, for students. NOTES & DOCS Communication is made efficient with Notion's flexible building blocks. • Create docs with beautiful templates, images, to-dos, and 50+ more content types. • Meeting notes, projects, design systems, pitch decks, and more. • Find exactly what you need using Search with powerful filters to find content across your workspace. TASKS & PROJECTS Catch all details big and small in any workflow. • Workflow manager: Create your own priority labels, status tags, and automations to choose the exact info you want to track. • Capture every detail in a table. Break projects into manageable tasks to get the work done. AI One tool that does it all - search, generate, analyze, and chat - right inside Notion. • Write better. Use Notion AI to help write and brainstorm. • Get answers. Ask Notion AI questions about all your content and get answers in seconds. • Autofill tables. Notion AI turns overwhelming data into clear, actionable information — automatically. SYNCS WITH BROWSER, MAC, AND WINDOWS APPS. • Pick up on mobile where you left off on desktop. MORE PRODUCTIVITY. FEWER TOOLS. • Track to-dos, write notes, create docs, and manage projects in one connected workspace. THINK IT. MAKE IT. Updated on Jan 13, 2026 Productivity Data safety arrow_forward Safety starts with understanding how developers collect and share your data. Data privacy and security practices may vary based on your use, region, and age. The developer provided this information and may update it over time. This app may share these data types with third parties Personal info, App activity and 2 others This app may collect these data types Personal info, Photos and videos and 5 others Data is encrypted in transit You can request that data be deleted See details Ratings and reviews Ratings and reviews are verified info_outline arrow_forward Ratings and reviews are verified info_outline phone_android Phone laptop Chromebook tablet_android Tablet 4.8 319K reviews 5 4 3 2 1 Sommy Nriama more_vert Flag inappropriate Show review history <path d=" | 2026-01-13T09:29:59 |
https://aws.amazon.com/bedrock/pricing/ | Amazon Bedrock Pricing – AWS Skip to main content Filter: All English Contact us AWS Marketplace Support My account Search Filter: All Sign in to console Create account Amazon Bedrock Overview Getting Started Capabilities AgentCore Pricing More AWS › Amazon Bedrock › Pricing Amazon Bedrock pricing Get started for free Request a pricing quote Pricing overview Amazon Bedrock is a comprehensive platform for building generative AI applications and agents with access to leading foundation models, services to deploy and operate agents, and tools for customizing, safeguarding, and optimizing applications. Amazon Bedrock offers flexible pricing options for model inference to optimize cost while balancing speed, scale, and model access needs. This includes on-demand pricing for pay-as-you-go usage with no upfront commitments, and batch mode for cost-efficient processing of large volumes of input. AgentCore offers flexible, consumption-based pricing with no upfront commitments or minimum fee, which you can learn about by accessing the AgentCore pricing page . Service tiers and model import Standard Tier The Standard tier provides consistent performance at regular rates for everyday AI tasks. With the Standard tier you only pay for what you use, with no time-based term commitments. For text-generation models, you are charged for every input token processed and every output token generated. For embeddings models, you are charged for every input token processed. A token comprises a few characters and refers to the basic unit of text that a model learns to understand the user input and prompt. For image-generation models, you are charged for every image generated. Learn more Priority Tier The Priority tier is a premium service tier that provides preferential compute allocation for mission-critical applications. This service tier is priced at a premium over the Standard tier. For most models that support Priority tier, customers can realize up to 25% better output tokens per second (OTPS) latency compared to Standard tier. Learn more Flex Tier Flex tier offers discounted standard pricing for workloads that can trade immediate processing for cost efficiency. Perfect for non-urgent AI workloads. Batch With Batch mode, you can provide a set of prompts as a single input file and receive responses as a single output file, allowing you to get simultaneous large-scale predictions. The responses are processed and stored in your Amazon S3 bucket so you can access them at a later time. Amazon Bedrock offers select foundation models (FMs) from leading AI providers like Anthropic, Meta, Mistral AI, and Amazon for batch inference at a 50% lower price compared to on-demand inference pricing. Refer to the model list here . Custom Model Import Custom Model Import allows you to leverage your prior model customization investments within Amazon Bedrock and consume them in the same fully managed manner as Bedrock’s existing hosted foundation models. You can import custom weights for supported model architectures and serve the custom model using On-Demand mode. There is no charge to import a custom model to Bedrock. Once you import a model, you will be able to access it on-demand without requiring to perform any control plane action. You are only charged for model inference, based on the number of copies of your custom model required to service your inference volume and the duration each model copy is active, billed in 5-minute windows. A model copy is a single instance of an imported model ready to serve inference requests. The price per model copy per minute depends on factors such as architecture, context length, AWS Region, compute unit version (hardware generation), and is tiered by model copy size. Customization and optimization Model Customization Reinforcement Fine tuning With Reinforcement fine-tuning capability in Amazon Bedrock, you can improve model accuracy without needing deep machine learning expertise or large sums of labeled data. Amazon Bedrock automates the reinforcement fine-tuning workflow: It takes your sample prompts, generates model responses, and scores them using your reward function. These prompts, responses, and scores are then used to train your custom model through an iterative RFT workflow. The entire workflow is billed at an hourly rate. You can set up inference on a custom model by creating a custom model on-demand deployment. The on-demand inference option includes a token-based pricing model that charges based on the number of tokens processed during inference. Supervised Fine tuning With Supervised fine tuning in Amazon Bedrock, you can customize FMs with your data to deliver tailored responses for specific tasks and your business context. You can fine-tune models with labeled data. For customization of a text-generation model, you are charged for the model training based on the total number of tokens processed by the model (number of tokens in the training data corpus x the number of epochs) and for model storage charged per month per model. An epoch refers to one full pass through your training dataset during fine-tuning or continued pretraining. Model Distillation With Amazon Bedrock Model Distillation, you can transfer knowledge from a larger capable model (known as “the teacher model”) to a smaller, faster, and cost-efficient model (known as “the student model”), such that the student model can become as performant as the teacher for specific use-cases. With Amazon Bedrock Model Distillation you pay for what you use. Distillation is a two-step process where first synthetic data is generated from the teacher model and then the student model is trained. Synthetic data generation is charged at on-demand pricing of the selected teacher model. Fine-tuning of the student model is charged at model customization (supervised fine tuning) rates. For Supervised fine tuning and Model Distillation, you can set up inference on a custom model by either creating a custom model on-demand deployment or purchasing Provisioned Throughput depending on your specific workload requirements and cost objectives. The on-demand inference option includes a token-based pricing model that charges based on the number of tokens processed during inference. If you purchase Provisioned Throughput, one model unit is made available with no commitment term for inference on a customized model. You will be charged for the number of hours you use in the first model unit for custom model inference. If you want to increase your throughput beyond one model unit, then you must purchase a 1-month or 6-month commitment term. Prompt Caching With prompt caching on Amazon Bedrock, you can cache repeated context across API calls to reduce your costs and response latencies. Prompts often contain common context or prefixes such as long, multi-turn conversations, many-shot examples and detailed instructions that refine model behavior. Using existing Amazon Bedrock APIs, you can specify the prompt prefixes that you want to cache for five minutes in an AWS account-specific cache. During that time, any requests with matching prefixes receive a discount of up to 90% on cached tokens and a latency improvement of up to 85%. Prices and performance improvements vary by model and prompt length, but your caches are always isolated to your AWS account. Prompt Management and Optimization Amazon Bedrock Prompt Management accelerates the creation, testing, and running of prompt through an intuitive UI and a set of APIs. You can easily test and version your prompts, compare different variants, and run them in a secure serverless infrastructure. Prompt Optimization in Amazon Bedrock automatically rewrites prompts for better performance and more concise responses for foundation models. It integrates with Prompt Management for side-by-side comparison of original and optimized versions, and prompt life cycle management. You can also use Prompt Optimization in Bedrock Playground, or directly via API. Tools Guardrails Amazon Bedrock Guardrails is the only responsible AI capability from a major cloud provider that helps you build and customize safety, privacy, and truthfulness safeguards for your generative AI applications. It evaluates user inputs and model responses based on use case-specific policies, providing an additional layer of safeguards beyond what's natively available. Safeguards from Guardrails can be applied to models hosted on Amazon Bedrock or with any third-party models (such as OpenAI and Google Gemini) via the ApplyGuardrail API. You can also use Guardrails with an agent framework such as Strands Agents, including agents deployed using Amazon Bedrock AgentCore. Guardrails helps filter hallucinations and improve factual accuracy through contextual grounding checks against RAG content and Automated Reasoning checks to deliver provably truthful responses. Knowledge Bases Amazon Bedrock Knowledge Bases is a fully managed Retrieval-Augmented Generation (RAG) workflow that enables customers to create highly accurate, low-latency, secure, and custom generative AI applications by incorporating contextual information from their own data sources. It supports various data sources, including S3, and Confluence, Salesforce, and SharePoint, in preview. It also offers document ingestion for streaming data. Bedrock Knowledge Bases converts unstructured data into embeddings, stores them in vector databases, and enables retrieval from diverse data stores. It also integrates with Kendra for managed retrieval and supports structured data retrieval using natural language to SQL. Amazon Bedrock Data Automation Amazon Bedrock Data Automation transforms unstructured, multimodal content into structured data formats for use cases like intelligent document processing, video analysis, and RAG. Bedrock Data Automation can generate Standard Output content using predefined defaults which are modality specific, like scene-by-scene descriptions of videos, audio transcripts or automated document analysis. Customers can additionally create Custom Outputs by specifying their output requirements in Blueprints based on their own data schema that they can then easily load into an existing database or data warehouse. Through an integration with Knowledge Bases, Bedrock Data Automation can also be used to parse content for RAG applications, improving the accuracy and relevancy of results by including information embedded in both images and text. Flows Amazon Bedrock Flows is a workflow authoring and execution feature of Bedrock for generative AI applications. It accelerates the creation, testing, and deployment of user-defined generative AI workflows through an intuitive visual builder and a set of APIs. It allows you to seamlessly link the latest foundation models, Prompts, Agents, Knowledge Base, Guardrails, and AWS services (such as Amazon Lex, AWS Lambda, Amazon S3) along with business logic to build generative AI workflows. You can easily test and version your workflows, and run it in a secure serverless environment through a visual interface or API without having to stand up your own infrastructure. Evaluations Model Evaluation : With Amazon Bedrock model evaluation, you pay for what you use, with no minimum volume commitments on the number of prompts or responses. For automatic (programmatic) evaluation, you only pay for the inference from your choice of model in the evaluation. The automatically-generated algorithmic scores are provided at no extra charge. For automatic (Model/LLM-as-a-judge) evaluation, you only pay for the inference from your choice of generator model and evaluator model. In an LLM-as-a-judge model evaluation job, the built-in metrics use system judge prompt templates unique to each metric and available judge model that will be charged as part of your token usage, and the judge prompts are available in the public AWS documentation for transparency. For human-based evaluation where you bring your own workteam, you are charged for the model inference in the evaluation, and a charge of $0.21 per completed human task. A human task is defined as an occurrence of a human worker submitting an evaluation of a single prompt and its associated inference responses in the human evaluation user interface. The price per task is the same whether you have one or two models in your evaluation job and also the same regardless of how many evaluation metrics and rating methods you include. The charges for the human tasks will appear under the Amazon SageMaker section in your AWS bill and are the same for all AWS Regions. There is no separate charge for the workforce, as the workforce is supplied by you. If you are using the “bring your own inference responses” feature instead of calling a Bedrock model during the evaluation job, you are only charged for the evaluator model inference (LLM-as-a-judge jobs) or the $0.21 per completed human task (human-based evaluation jobs). For an evaluation managed by AWS, pricing is customized for your evaluation needs in a private engagement while working with the AWS expert evaluations team. RAG Evaluation: With Amazon Bedrock RAG evaluation, you pay for what you use, with no minimum volume commitments on the number of prompts or responses. If you are evaluating an Amazon Bedrock Knowledge Base, you only pay for the inference from your choice of generator model and evaluator model (the evaluation job uses an LLM-as-a-judge), as well as any charges incurred from using the Knowledge Base in the evaluation job according to Amazon Bedrock Knowledge Bases pricing. If you are using the “bring your own inference responses” feature, you are only charged for the evaluator model inference. In a RAG evaluation job, the built-in metrics use system judge prompt templates unique to each metric and available judge model that will be charged as part of your token usage, and the judge prompts are available in the public AWS documentation for transparency. Some metrics involve doing judge model inference on retrieved context from your Knowledge Base/RAG system or your ground truth answers in addition to the input prompt, which affects the costs associated with each metric - more information on each metric can be found in the public AWS documentation for evaluations. Model pricing details Pricing is dependent on the modality, provider, and model. Please select the model provider to see detailed pricing. Amazon Bedrock offers select foundation models (FMs) from leading AI providers like Anthropic, Meta, Mistral AI, and Amazon for batch inference at a 50% lower price compared to on-demand inference pricing. Please refer to model list here . AI21 Labs Amazon Anthropic Cohere DeepSeek Google Kimi AI Luma AI Meta MiniMax AI Mistral AI NVIDIA OpenAI TwelveLabs Stability AI Writer Qwen Custom Model Import AI21 Labs AI21 Labs On-Demand pricing Amazon Amazon Nova Amazon Titan Other Amazon Amazon Nova Amazon Nova Pricing for Understanding Models Global Cross-region Inference Geo Cross-region inference and in-region Built-In-Tools Pricing for Creative Content Generation models Pricing for Speech Understanding and Generation Models On-Demand pricing for speech to speech foundation models Note: *The text tokens input and output pricing applies to specific use cases such as speech-to-text transcription, tool calls for task completion or knowledge grounding, adding conversation history to the session etc. On-demand inference for custom Nova models is priced the same as base Nova inference. Pricing for Embedding models Amazon Titan Amazon Titan Other Amazon Anthropic Anthropic On-Demand and Batch pricing Models with extended access Provider Model Name Regions Price per 1,000 input tokens Price per 1,000 output tokens Price per 1,000 input tokens (batch) Price per 1,000 output tokens (batch) Price per 1,000 input tokens (cache write) Price per 1,000 input tokens (cache read) Anthropic Claude 3.5 Sonnet (Public Extended Access, Effective 1 Dec 2025) US East (N. Virginia), US East (Ohio), US West (Oregon), Europe (Frankfurt), Europe (Ireland), Europe (Zurich), Europe (Paris) $0.006 $0.03 $0.003 $0.015 N/A N/A Anthropic Claude 3.5 Sonnet v2 (Public Extended Access, Effective 1 Dec 2025) US East (N. Virginia), US East (Ohio), US West (Oregon) $0.006 $0.03 $0.003 $0.015 $0.0075 $0.0006 Latency Optimized Inference Provisioned Throughput Pricing Region: US East (N. Virginia) and US West (Oregon) Anthropic models Price per hour per model with no commitment Price per hour per model unit for 1-month commitment Price per hour per model unit for 6-month commitment Claude Instant $44.00 $39.60 $22.00 Claude 2.0/2.1 $70.00 $63.00 $35.00 Region: Asia Pacific (Tokyo) Anthropic models Price per hour per model unit for 1-month commitment Price per hour per model unit for 6-month commitment Claude Instant $53.00 $29.00 Claude 2.0/2.1 $86.00 $48.00 Region: Europe (Frankfurt) Anthropic models Price per hour per model unit for 1-month commitment Price per hour per model unit for 6-month commitment Claude Instant $49.00 $27.00 Claude 2.0/2.1 $79.00 $44.00 Please reach out to your AWS account team for more details on model units. Cohere Cohere On-Demand pricing Cohere models Price per 1,000 queries** Rerank 3.5 $2.00 ** You are charged for number of queries where a query can contain up to 100 document chunks. If the query contains more than 100 document chunks, it is counted as multiple queries. For example, if a request contains 350 documents, it will be treated as 4 queries. Please note that each document can only contain upto 500 tokens (inclusive of the query and document’s total tokens), and if the token length is higher than 512 tokens, it is broken down into multiple documents. Pricing for customization (fine-tuning) *Total tokens trained = number of tokens in training data corpus x number of epochs Provisioned Throughput pricing Cohere models Price per hour per model with no commitment Price per hour per model unit for 1-month commitment Price per hour per model unit for 6-month commitment Cohere Command $49.50 $39.60 $23.77 Cohere Command - Light $8.56 $6.85 $4.11 Embed 3 English $7.12 $6.76 $6.41 Embed 3 Multilingual $7.12 $6.76 $6.41 Please reach out to your AWS account or sales team for more details on model units. DeepSeek DeepSeek On-Demand pricing Google Google On-Demand pricing Regions: US East (N. Virginia), US East (Ohio) and US West (Oregon) Google models Price per 1,000 input tokens Price per 1,000 output tokens Gemma 3 4B $ 0.00004 $ 0.00008 Gemma 3 12B $ 0.00009 $ 0.00029 Gemma 3 27B $ 0.00023 $ 0.00038 Regions: Asia Pacific (Mumbai), Europe (Ireland) and Europe (Milan) Google models Price per 1,000 input tokens Price per 1,000 output tokens Gemma 3 4B $ 0.00005 $ 0.00009 Gemma 3 12B $ 0.00011 $ 0.00034 Gemma 3 27B $ 0.00027 $ 0.00045 Regions: South America (Sao Paulo) and Asia Pacific (Tokyo) Google models Price per 1,000 input tokens Price per 1,000 output tokens Gemma 3 4B $ 0.00005 $ 0.00010 Gemma 3 12B $ 0.00011 $ 0.00035 Gemma 3 27B $ 0.00028 $ 0.00046 Region: Europe (London) Google models Price per 1,000 input tokens Price per 1,000 output tokens Gemma 3 4B $ 0.00006 $ 0.00012 Gemma 3 12B $ 0.00014 $ 0.00045 Gemma 3 27B $ 0.00036 $ 0.00059 * Priority tier pricing is at 75% premium to Standard tier pricing * Flex tier pricing is at 50% discount to Standard tier pricing Kimi AI Kimi AI On-Demand pricing Regions: US East (N. Virginia), US East (Ohio) and US West (Oregon) Kimi models Price per 1,000 input tokens Price per 1,000 output tokens Kimi K2 Thinking $ 0.00060 $ 0.00250 Region: Asia Pacific (Mumbai) Kimi models Price per 1,000 input tokens Price per 1,000 output tokens Kimi K2 Thinking $ 0.00071 $ 0.00294 Regions: South America (Sao Paulo) and Asia Pacific (Tokyo) Kimi models Price per 1,000 input tokens Price per 1,000 output tokens Kimi K2 Thinking $ 0.00073 $ 0.00303 * Priority tier pricing is at 75% premium to Standard tier pricing * Flex tier pricing is at 50% discount to Standard tier pricing Luma AI On-Demand pricing Meta Meta Llama 4 On-Demand and Batch pricing Llama 3.3 On-Demand and Batch pricing Llama 3.2 On-Demand and Batch pricing Pricing for model customization (fine-tuning) Provisioned Throughput pricing Llama 3.1 On-Demand and Batch pricing Pricing for model customization (fine-tuning) Provisioned Throughput pricing Llama 3 On-Demand pricing Llama 2 On-Demand pricing Region: US East (N. Virginia) and US West (Oregon) Meta models Price per 1,000 input tokens Price per 1,000 output tokens Llama 2 Chat (13B) $0.00075 $0.001 Llama 2 Chat (70B) $0.00195 $0.00256 Pricing for model customization (fine-tuning) Meta models Price to train 1,000 tokens Price to store each custom model* per month Price to infer from a custom model for 1 model unit per hour (with no-commit Provisioned Throughput pricing) Llama 2 Pretrained (13B) $0.00149 $1.95 $23.50 Llama 2 Pretrained (70B) $0.00799 $1.95 $23.50 *Custom model storage = $1.95 Provisioned Throughput pricing Meta models Price per hour per model unit for 1-month commitment Price per hour per model unit for 6-month commitment Llama 2 Pretrained and Chat (13B) $21.18 $13.08 Llama 2 Pretrained (70B) $21.18 $13.08 *Llama 2 Pre-trained models are available only in provisioned throughput after customization. Please reach out to your AWS account or sales team for more details on model units. MiniMax AI MiniMax AI On-Demand pricing Regions: US East (N. Virginia), US East (Ohio) and US West (Oregon) Minimax models Price per 1,000 input tokens Price per 1,000 output tokens Minimax M2 $ 0.00030 $ 0.00120 Regions: Asia Pacific (Mumbai), Europe (Ireland) and Europe (Milan) Minimax models Price per 1,000 input tokens Price per 1,000 output tokens Minimax M2 $ 0.00035 $ 0.00141 Regions: South America (Sao Paulo) and Asia Pacific (Tokyo) Minimax models Price per 1,000 input tokens Price per 1,000 output tokens Minimax M2 $ 0.00036 $ 0.00145 Region: Europe (London) Minimax models Price per 1,000 input tokens Price per 1,000 output tokens Minimax M2 $ 0.00047 $ 0.00186 * Priority tier pricing is at 75% premium to Standard tier pricing * Flex tier pricing is at 50% discount to Standard tier pricing Mistral AI Mistral AI On-Demand pricing Regions: US East (N. Virginia), US East (Ohio) and US West (Oregon) Mistral models Price per 1,000 input tokens Price per 1,000 output tokens Magistral Small 1.2 $ 0.00050 $ 0.00150 Voxtral Mini 1.0 $ 0.00004 $ 0.00004 Voxtral Small 1.0 $ 0.00010 $ 0.00030 Ministral 3B 3.0 $ 0.00010 $ 0.00010 Ministral 8B 3.0 $ 0.00015 $ 0.00015 Ministral 14B 3.0 $ 0.00020 $ 0.00020 Mistral Large 3 $ 0.00050 $ 0.00150 Regions: Asia Pacific (Mumbai) Mistral models Price per 1,000 input tokens Price per 1,000 output tokens Magistral Small 1.2 $ 0.00059 $ 0.00176 Voxtral Mini 1.0 $ 0.00005 $ 0.00005 Voxtral Small 1.0 $ 0.00012 $ 0.00035 Ministral 3B 3.0 $ 0.00012 $ 0.00012 Ministral 8B 3.0 $ 0.00018 $ 0.00018 Ministral 14B 3.0 $ 0.00024 $ 0.00024 Mistral Large 3 $ 0.00059 $ 0.00176 Regions: South America (Sao Paulo) and Asia Pacific (Tokyo) Mistral models Price per 1,000 input tokens Price per 1,000 output tokens Magistral Small 1.2 $ 0.00061 $ 0.00182 Voxtral Mini 1.0 $ 0.00005 $ 0.00005 Voxtral Small 1.0 $ 0.00012 $ 0.00036 Ministral 3B 3.0 $ 0.00012 $ 0.00012 Ministral 8B 3.0 $ 0.00018 $ 0.00018 Ministral 14B 3.0 $ 0.00024 $ 0.00024 Mistral Large 3 $ 0.00061 $ 0.00182 Regions: Europe (Ireland) and Europe (Milan) Mistral models Price per 1,000 input tokens Price per 1,000 output tokens Magistral Small 1.2 $ 0.00059 $ 0.00176 Voxtral Mini 1.0 $ 0.00005 $ 0.00005 Voxtral Small 1.0 $ 0.00012 $ 0.00035 Ministral 3B 3.0 $ 0.00012 $ 0.00012 Ministral 8B 3.0 $ 0.00018 $ 0.00018 Ministral 14B 3.0 $ 0.00024 $ 0.00024 Region: Europe (London) Mistral models Price per 1,000 input tokens Price per 1,000 output tokens Magistral Small 1.2 $ 0.00078 $ 0.00233 Voxtral Mini 1.0 $ 0.00006 $ 0.00006 Voxtral Small 1.0 $ 0.00016 $ 0.00047 Ministral 3B 3.0 $ 0.00016 $ 0.00016 Ministral 8B 3.0 $ 0.00023 $ 0.00023 Ministral 14B 3.0 $ 0.00031 $ 0.00031 * Priority tier pricing is at 75% premium to Standard tier pricing * Flex tier pricing is at 50% discount to Standard tier pricing NVIDIA NVIDIA On-Demand pricing Regions: US East (N. Virginia), US East (Ohio) and US West (Oregon) NVIDIA models Price per 1,000 input tokens Price per 1,000 output tokens NVIDIA Nemotron Nano 2 $ 0.00006 $ 0.00023 NVIDIA Nemotron Nano 2 VL $ 0.00020 $ 0.00060 Regions: Asia Pacific (Mumbai), Europe (Ireland) and Europe (Milan) NVIDIA models Price per 1,000 input tokens Price per 1,000 output tokens NVIDIA Nemotron Nano 2 $ 0.00007 $ 0.00027 NVIDIA Nemotron Nano 2 VL $ 0.00024 $ 0.00071 Regions: South America (Sao Paulo) and Asia Pacific (Tokyo) NVIDIA models Price per 1,000 input tokens Price per 1,000 output tokens NVIDIA Nemotron Nano 2 $ 0.00007 $ 0.00028 NVIDIA Nemotron Nano 2 VL $ 0.00024 $ 0.00073 Region: Europe (London) NVIDIA models Price per 1,000 input tokens Price per 1,000 output tokens NVIDIA Nemotron Nano 2 $ 0.00009 $ 0.00036 NVIDIA Nemotron Nano 2 VL $ 0.00031 $ 0.00093 * Priority tier pricing is at 75% premium to Standard tier pricing * Flex tier pricing is at 50% discount to Standard tier pricing OpenAI OpenAI On-Demand pricing Regions: US East (N. Virginia), US East (Ohio) and US West (Oregon) OpenAI models Price per 1,000 input tokens Price per 1,000 output tokens GPT OSS Safeguard 20B $ 0.00007 $ 0.00020 GPT OSS Safeguard 120B $ 0.00015 $ 0.00060 Regions: Asia Pacific (Mumbai), South America (Sao Paulo) and Asia Pacific (Tokyo) OpenAI models Price per 1,000 input tokens Price per 1,000 output tokens GPT OSS Safeguard 20B $ 0.00008 $ 0.00024 GPT OSS Safeguard 120B $ 0.00018 $ 0.00071 Regions: Europe (Ireland) and Europe (Milan) OpenAI models Price per 1,000 input tokens Price per 1,000 output tokens GPT OSS Safeguard 20B $ 0.00008 $ 0.00023 GPT OSS Safeguard 120B $ 0.00018 $ 0.00070 Region: Europe (London) OpenAI models Price per 1,000 input tokens Price per 1,000 output tokens GPT OSS Safeguard 20B $ 0.00011 $ 0.00031 GPT OSS Safeguard 120B $ 0.00023 $ 0.00093 * Priority tier pricing is at 75% premium to Standard tier pricing * Flex tier pricing is at 50% discount to Standard tier pricing TwelveLabs TwelveLabs On-Demand pricing Stability AI Stability AI On-Demand pricing Previous generation of image models offered by Stability AI are priced per image, depending on step count and image resolution. Region: Oregon, N. Virginia, Ohio Stability AI Image Services Price per generation for each model Stable Image Remove Background $0.07 Stable Image Erase Object $0.07 Stable Image Control Structure $0.07 Stable Image Control Sketch $0.07 Stable Image Style Guide $0.07 Stable Image Search and Replace $0.07 Stable Image Inpaint $0.07 Stable Image Search and Recolor $0.07 Stable Image Style Transfer $0.08 Stable Image Conservative Upscale $0.40 Stable Image Creative upscale $0.60 Stable Image Fast Upscale $0.03 Stable Image Outpaint $0.06 Writer Writer On-demand pricing Writer models Price per 1,000 input tokens Price per 1,000 output tokens Palmyra X4 $0.0025 $0.010 Palmyra X5 $0.0006 $0.006 Qwen Amazon Bedrock Overview Getting Started Capabilities AgentCore Pricing More Qwen On-Demand pricing Regions: US East (N. Virginia), US East (Ohio) and US West (Oregon) Qwen models Price per 1,000 input tokens Price per 1,000 output tokens Qwen3 Next 80B A3B $ 0.00015 $ 0.00120 Qwen3 VL 235B A22B $ 0.00053 $ 0.00266 Regions: Asia Pacific (Mumbai), Europe (Ireland) and Europe (Milan) Qwen models Price per 1,000 input tokens Price per 1,000 output tokens Qwen3 Next 80B A3B $ 0.00018 $ 0.00141 Qwen3 VL 235B A22B $ 0.00062 $ 0.00313 Regions: South America (Sao Paulo) and Asia Pacific (Tokyo) Qwen models Price per 1,000 input tokens Price per 1,000 output tokens Qwen3 Next 80B A3B $ 0.00018 $ 0.00145 Qwen3 VL 235B A22B $ 0.00064 $ 0.00322 Region: Europe (London) Qwen models Price per 1,000 input tokens Price per 1,000 output tokens Qwen3 Next 80B A3B $ 0.00023 $ 0.00186 Qwen3 VL 235B A22B $ 0.00082 $ 0.00412 * Priority tier pricing is at 75% premium to Standard tier pricing * Flex tier pricing is at 50% discount to Standard tier pricing Custom Model Import Custom Model Import Llama Multimodal Llama Mistral Mixtral Flan Qwen OpenAI Llama Regions: US East (N. Virginia) and US West (Oregon) Custom Model Unit version v1.0 Price per Custom Model Unit per min* $0.05718 Monthly storage cost per Custom Model Unit $1.95 Region: Europe (Frankfurt) Custom Model Unit version v1.0 Price per Custom Model Unit per min* $0.07144 Monthly storage cost per Custom Model Unit $1.95 Note: The Custom Model Units needed to host a model depend on a variety of factors - notably the model architecture, model parameter count, and context length. The exact number of Custom Model Units needed will be determined at the time of import. For reference, Llama 3.1 8B 128K model requires 2 Custom Model Units, a Llama 3.1 70B 128k model requires 8 Custom Model Units. *Billed in 5 minute windows Multimodal Llama Regions: US East (N. Virginia) and US West (Oregon) Custom Model Unit version v1.0 Price per Custom Model Unit per min* $0.05718 Monthly storage cost per Custom Model Unit $1.95 Region: Europe (Frankfurt) Custom Model Unit version v1.0 Price per Custom Model Unit per min* $0.07144 Monthly storage cost per Custom Model Unit $1.95 Note: The Custom Model Units needed to host a model depend on a variety of factors - notably the model architecture, model parameter count, and context length. The exact number of Custom Model Units needed will be determined at the time of import. For reference, Llama 3.1 8B 128K model requires 2 Custom Model Units, a Llama 3.1 70B 128k model requires 8 Custom Model Units. *Billed in 5 minute windows Mistral Regions: US East (N. Virginia) and US West (Oregon) Custom Model Unit version v1.0 Price per Custom Model Unit per min* $0.05718 Monthly storage cost per Custom Model Unit $1.95 Region: Europe (Frankfurt) Custom Model Unit version v1.0 Price per Custom Model Unit per min* $0.07144 Monthly storage cost per Custom Model Unit $1.95 Note: The Custom Model Units needed to host a model depend on a variety of factors - notably the model architecture, model parameter count, and context length. The exact number of Custom Model Units needed will be determined at the time of import. For reference, Llama 3.1 8B 128K model requires 2 Custom Model Units, a Llama 3.1 70B 128k model requires 8 Custom Model Units. *Billed in 5 minute windows Mixtral Regions: US East (N. Virginia) and US West (Oregon) Custom Model Unit version v1.0 Price per Custom Model Unit per min* $0.05718 Monthly storage cost per Custom Model Unit $1.95 Region: Europe (Frankfurt) Custom Model Unit version v1.0 Price per Custom Model Unit per min* $0.07144 Monthly storage cost per Custom Model Unit $1.95 Note: The Custom Model Units needed to host a model depend on a variety of factors - notably the model architecture, model parameter count, and context length. The exact number of Custom Model Units needed will be determined at the time of import. For reference, Llama 3.1 8B 128K model requires 2 Custom Model Units, a Llama 3.1 70B 128k model requires 8 Custom Model Units. *Billed in 5 minute windows Flan Regions: US East (N. Virginia) and US West (Oregon) Custom Model Unit version v1.0 Price per Custom Model Unit per min* $0.05718 Monthly storage cost per Custom Model Unit $1.95 Region: Europe (Frankfurt) Custom Model Unit version v1.0 Price per Custom Model Unit per min* $0.07144 Monthly storage cost per Custom Model Unit $1.95 Note: The Custom Model Units needed to host a model depend on a variety of factors - notably the model architecture, model parameter count, and context length. The exact number of Custom Model Units needed will be determined at the time of import. For reference, Llama 3.1 8B 128K model requires 2 Custom Model Units, a Llama 3.1 70B 128k model requires 8 Custom Model Units. *Billed in 5 minute windows On-Demand Inference Pricing: You are billed in 5-minute windows for the duration your model copy is active starting from the first successful invocation. The maximum throughput and concurrency limit per model copy depends on factors such as input/output token mix, hardware type, model size, architecture, inference optimizations, and is determined during the model import workflow. Bedrock automatically scales the number of model copies depending on your usage patterns. If there are no invocations for a 5-minute period, Bedrock will scale down to zero and scale back up when you invoke your model. While scaling back up, you may experience a cold-start duration (in tens of seconds) depending on model size. Bedrock also scales up the number of model copies if your inference volume consistently exceeds the concurrency limits of a single model copy. Note: There is a default maximum of 3 model copies per account per imported model that can be increased through Service Quotas. Qwen Regions: US East (N. Virginia) and US West (Oregon) Custom Model Unit version v1.0 Price per Custom Model Unit per min* $0.05718 Monthly storage cost per Custom Model Unit $1.95 Region: Europe (Frankfurt) Custom Model Unit version v1.0 Price per Custom Model Unit per min* $0.07144 Monthly storage cost per Custom Model Unit $1.95 Note: The Custom Model Units needed to host a model depend on a variety of factors - notably the model architecture, model parameter count, and context length. The exact number of Custom Model Units needed will be determined at the time of import. For reference, Llama 3.1 8B 128K model requires 2 Custom Model Units, a Llama 3.1 70B 128k model requires 8 Custom Model Units. *Billed in 5 minute windows On-Demand Inference Pricing: You are billed in 5-minute windows for the duration your model copy is active starting from the first successful invocation. The maximum throughput and concurrency limit per model copy depends on factors such as input/output token mix, hardware type, model size, architecture, inference optimizations, and is determined during the model import workflow. Bedrock automatically scales the number of model copies depending on your usage patterns. If there are no invocations for a 5-minute period, Bedrock will scale down to zero and scale back up when you invoke your model. While scaling back up, you may experience a cold-start duration (in tens of seconds) depending on model size. Bedrock also scales up the number of model copies if your inference volume consistently exceeds the concurrency limits of a single model copy. Note: There is a default maximum of 3 model copies per account per imported model that can be increased through Service Quotas. OpenAI Regions: US East (N. Virginia) and US West (Oregon) Custom Model Unit version v2.0 Price per Custom Model Unit per min* $0.1433 Monthly storage cost per Custom Model Unit $1.95 Note: The Custom Model Units needed to host a model depend on a variety of factors - notably the model architecture, model parameter count, and context length. The exact number of Custom Model Units needed will be determined at the time of import. For reference, Llama 3.1 8B 128K model requires 2 Custom Model Units, a Llama 3.1 70B 128k model requires 8 Custom Model Units. *Billed in 5 minute windows On-Demand Inference Pricing: You are billed in 5-minute windows for the duration your model copy is active starting from the first successful invocation. The maximum throughput and concurrency limit per model copy depends on factors such as input/output token mix, hardware type, model size, architecture, inference optimizations, and is determined during the model import workflow. Bedrock automatically scales the number of model copies depending on your usage patterns. If there are no invocations for a 5-minute period, Bedrock will scale down to zero and scale back up when you invoke your model. While scaling back up, you may experience a cold-start duration (in tens of seconds) depending on model size. Bedrock also scales up the number of model copies if your inference volume consistently exceeds the concurrency limits of a single model copy. Note: There is a default maximum of 3 model copies per account per imported model that can be increased through Service Quotas. Tools and optimization pricing details Flows Knowledge Bases Guardrails Model Evaluation Data Automation Intelligent Prompt Routing Prompt Optimization Flows Amazon Bedrock Flows You are charged based on the number of node transitions required to execute your application. Bedrock Flows counts a node transition each time a node in your workflow is executed. You are charged for the total number of node transitions across all your flows. All charges are metered daily and billed monthly starting February 1st, 2025. Price per 1,000 node transitions $0.035 Additional Charges You may incur additional charges if the execution of your application workflow utilizes other AWS services or transfers data. For example, if your workflow invokes an Amazon Bedrock Guardrail policy, you will be billed for the number of text units processed by the policy. Knowledge Bases Structured Data Retrieval (SQL Generation) Structured Data Retrieval is charged for each request to generate a SQL query. The SQL query generated is used to retrieve the data from structured data stores. Rerank models Rerank models are designed to improve the relevance and accuracy of responses in Retrieval Augmented Generation (RAG) applications. They are charged per query. **You are charged for number of queries where a query can contain up to 100 document chunks. If the query contains more than 100 document chunks, it is counted as multiple queries. For example, if a request contains 350 documents, it will be treated as 4 queries. Please note that each document can only contain upto 512 tokens (inclusive of the query and document’s total tokens), and if the token length is higher than 512 tokens, it is broken down into multiple documents. A query is equivalent to a search unit. Guardrails Amazon Bedrock Guardrails The pricing for Amazon Bedrock Guardrails is based on the charges incurred by the filter used in the guardrail. The pricing is the same for both standard tier and classic tier. Guardrails filter* Price Content filters for both standard tier and classic tier (text content) $0.15 per 1,000 text units Content filters (image content) $0.00075 per image processed Denied topics for both standard tier and classic tier $0.15 per 1,000 text units Sensitive information filters $0.10 per 1,000 text units Sensitive information filters (regular expression) Free Word filters Free Contextual grounding checks $0.10 per 1,000 text units Automated Reasoning checks $0.17 per 1,000 text units per Automated Reasoning policy On-Demand pricing * Each guardrail filter is optional and can be enabled based on your application requirements. Charges will be incurred based on the filter type used in the guardrail. For example, if a guardrail is configured with content filters and denied topics, charges will be incurred for these two filters, while there will be no charges associated with sensitive information filters. Note : A text unit can contain up to 1000 characters. If a text input is more than 1000 characters, it is processed as multiple text units, each containing 1000 characters or less. For example, if a text input contains 5600 characters, it will be charged for 6 text units. Contextual grounding check uses a reference source and a query to determine if the model response is grounded based on the source and relevant to the query. The total number of text units charged is calculated by combining all the characters in the source, query, and model response. Model Evaluation Model Evaluation Model evaluation is charged for the inference from your choice of model. Automatically-generated algorithmic scores are provided at no extra charge. For human-based evaluation where you bring your own workstream, you are charged for the model inference in the evaluation, and a charge of $0.21 per completed human task. Model Price per 1,000 input tokens Price per 1,000 output tokens Price per human task Model selected for evaluation Based on model selected Based on model selected $0.21 Data Automation Data Automation Amazon Bedrock Knowledge Bases offers a Bedrock Data Automation integration to provide more relevant and accurate responses for multimodal data. When setting up a Knowledge Base, you can select Bedrock Data Automation as your parsing method to analyze and extract meaningful insights from images or documents, which can include figures, charts, and diagrams. During processing, Bedrock Data Automation extracts meaningful information from ingested documents and images, which is then used in subsequent Knowledge Base steps for chunking, embedding, and storage. When integrated with Knowledge Bases, Bedrock Data Automation delivers and charges for standardized output. Intelligent Prompt Routing Price Point Pricing Dimension Pricing Plan Intelligent Prompt Routing $1 per 1,000 requests On-Demand Intelligent Prompt Routing Intelligent Prompt Routing allows you to use a combination of foundation models (FMs) from the same model family to help optimize for quality and cost. For example, with the Anthropic’s Claude model family, Amazon Bedrock can intelligently route requests between Claude 3.5 Sonnet and Claude 3 Haiku depending on the complexity of the prompt. Similarly, Amazon Bedrock can route requests between Meta Llama 3.3 70B and 3.18B, and Nova Pro and Nova Lite. The prompt router predicts which model will provide the best performance for each request while helping optimize the quality of response and cost. This is particularly useful for applications such as customer service assistants, where uncomplicated queries can be handled by smaller, faster, and more cost-effective models, and complex queries are routed to more capable models. Intelligent Prompt Routing can reduce costs by up to 30 percent without compromising on accuracy. Prompt Optimization Prompt Optimization for Amazon Bedrock You are charged based on the number of tokens in the input prompts and in the optimized prompts. All charges are billed monthly starting April 23, 2025. Price per 1,000 tokens $0.030 Pricing examples AI21 labs An application developer makes the following API calls to Amazon Bedrock: a request to AI21’s Jurassic-2 Mid model to summarize an input of 10K tokens of input text to an output of 2K tokens. Total cost incurred = 10K tokens/1000 * $0.0125 + 2K tokens/1000 * $0.0125 = $0.15 Amazon On-Demand pricing An application developer makes the following API calls to Amazon Bedrock on an hourly basis: a request to Amazon Titan Text Lite model to summarize an input of 2K tokens of input text to an output of 1K tokens. Total hourly cost incurred is = 2K tokens/1000 * $0.0003 + 1K tokens/1000 * $0.0004 = $0.001. An application developer makes the following API calls to Amazon Bedrock: a request to the Amazon Titan Image Generator base model to generate 1000 images of 1024 x 1024 in size of standard quality. Total cost incurred = 1000 images * $0.01 per image = $10 Customization (fine-tuning and continued pretraining) pricing An application developer customizes an Amazon Titan Image Generator model using 1000 image-text pairs. After training, the developer uses custom model provisioned throughput for 1 hour to evaluate the performance of the model. The fine-tuned model is stored for 1 month. After evaluation, the developer uses provisioned throughput (1-month commitment term) to host the customized model. Monthly cost incurred for fine-tuning = fine-tuning training ($.005 * 500 * 64), where $0.005 is the price per image seen, 500 is the number of steps, and 64 is the batch size, + custom model storage per month ($1.95) + 1 hour of custom model inference ($21) = $160 + $1.95 + 21 = $182.95 Provisioned Throughput pricing An application developer buys two model units of Amazon Titan Text Express with a 1-month commitment for their text summarization use case. Total monthly cost incurred = 2 model units * $18.40/hour * 24 hours * 31 days = $27,379.20 An application developer buys one model unit of the base Amazon Titan Image Generator model with a 1-month commitment. Total cost incurred = 1 model unit * $16.20 * 24 hours * 31 days = $12,052.80 Amazon Bedrock Guardrails Example 1: Customer support chatbot An application developer creates a customer support chatbot and uses content filters to block harmful content and denied topics to filter undesirable queries and responses. The chatbot serves 1000 user queries per hour. Each user query has an average input length of 200 characters and receives a FM response of 1500 characters. Each user query of 200 characters correspond to 1 text unit. Each FM response of 1,500 characters correspond to 2 text units. Text units processed each hour = (1 + 2) * 1000 queries = 3000 text units Total cost incurred per hour for content filters and denied topics = 3000 * ($0.15 + $0.15) / 1000 = $0.90 Example 2: Call center transcript summarization An application developer creates an application to summarize chat transcripts between users and support agents. It uses sensitive information filter to redact personally identifiable information (PII) in the generated summaries for 10,000 conversations. Each generated summary has an average of 3,500 characters that corresponds to 4 text units. Total cost incurred to summarize 10,000 conversations = 10000 * 4 * ($0.1/1000) = $4 Example 3: Medical Protocol Verification Engine A healthcare technology company implements Automated Reasoning checks in their clinical decision support system to validate treatment suggestions against medical guidelines. The system processes 5,000 patient cases per month. Each case involves: Patient data summary: 500 characters (1 text unit) Diagnostic assessment: 2,000 characters (2 text units) Treatment recommendation: 4,500 characters (5 text units) Text units processed per month = (1 + 2 + 5) 5,000 cases = 40,000 text units Total cost incurred per month for Automated Reasoning checks = 40,000 ($0.17) / 1000 = $6.80 Amazon Bedrock Knowledge Bases Pricing Example 1 (Reranking using Amazon Rerank 1.0 model) In a given month, you make 2 million requests to Rerank API using Amazon Rerank 1.0 model – 1 million requests contain fewer than 100 documents each and hence will be charged for one request each. The remaining 1 million requests contain 120-150 documents, and hence each request will be charged for 2 requests. Price for one request = $0.001 Total charge = 1,000,000 * $0.001 + 1,000,000*2*$0.001= $3000 Pricing Example 2: (Structured data retrieval) An application developer creates a support chatbot that queries structured data stored in Amazon Redshift. The developer creates a Bedrock Knowledge Base and connects to Amazon Redshift. The chatbot serves 10000 user queries per hour. Each user query will cost $0.002 per GenerateQuery API to generate SQL from user query. Total cost incurred for generating SQL per hour = $0.002*10000 = $20. Total cost incurred in month = $20*24*30 = $1440 Anthropic On-Demand pricing An application developer makes the following API calls to Amazon Bedrock in the US West (Oregon) Region: a request to Anthropic’s Claude model to summarize an input of 11K tokens of input text to an output of 4K tokens. Total cost incurred = 11K tokens/1000 * $0.008 + 4K tokens/1000 * $0.024 = $0.088 + $0.096 = $0.184 Provisioned Throughput pricing An application developer buys one model unit of Anthropic Claude Instant in the US West (Oregon) Region: Total monthly cost incurred = 1 model unit * $39.60 * 24 hours * 31 days = $29,462.40 Cohere On-Demand pricing An application developer makes the following API calls to Amazon Bedrock: a request to Cohere’s Command model to summarize an input of 6K tokens of input text to an output of 2K tokens. Total cost incurred = 6K tokens/1,000 * $0.0015 + 2K tokens/1,000 * $0.0020 = $0.013 An application developer makes the following API calls to Amazon Bedrock: A request to Cohere’s Command - Light model to summarize an input of 6K tokens of input text to an output of 2K tokens. Total cost incurred = 6K tokens/1000 * $0.0003 + 2K tokens/1000 * $0.0006 = $0.003 An application developer makes the following API calls to Amazon Bedrock: A request to either Cohere’s Embed English or Embed Multilingual model to generate embeddings for 10K tokens of input. Total cost incurred = 10K tokens/1000 * $0.0001 = $.001 Customization (fine-tuning) pricing An application developer customizes a Cohere Command model using 1000 tokens of data. After training, uses custom model provisioned throughput for 1 hour to evaluate the performance of the model. The fine-tuned model is stored for 1 month. After evaluation, the developer uses provisioned throughput (1mo commit) to host the customized model. Monthly cost incurred for fine-tuning = Fine-tuning training ($0.004 * 1000) + custom model storage per month ($1.95) + 1 hour of custom model inference ($49.50) = $55.45 Monthly cost incurred for provisioned throughput (1-month commitment) of custom model = $39.60 Provisioned Throughput pricing An application developer, buys one model unit of Cohere Command with a 1-month commitment for their text summar | 2026-01-13T09:29:59 |
https://play.google.com/store/apps/details?id=notion.id&hl=id | Notion: Notes, Tasks, AI - Apps on Google Play Games Apps Books Kids google_logo Play Games Apps Books Kids none search help_outline Sign in with Google play_apps Library & devices payment Payments & subscriptions reviews My Play activity redeem Offers Play Pass Personalization in Play settings Settings Privacy Policy • Terms of Service Games Apps Books Kids Notion: Notes, Tasks, AI Notion Labs, Inc. In-app purchases 4.8 star 327K reviews 10M+ Downloads Rated for 3+ info Install Share Add to wishlist About this app arrow_forward Whether you’re looking to track your personal to-do’s, write and organize class notes, or run project management with a team, Notion is the AI-powered workspace that works your way, for any need. Keep track of your personal and professional goals, take notes about what you care about, and stay organized. "AI's everything app" — Forbes Notion is a productivity app where you can write, plan, and organize your notes, projects, tasks and more - all in one place. Ask Notion AI about project updates, upcoming tasks, and suggestions for a more streamlined workflow. Simplify writing notes, project and task management, and collaboration. Whether for personal, student or professional use, Notion scales to meet your individual needs with customization tools for everyone. FREE FOR PERSONAL USE • Create as many notes, docs, and content as you want. • Use one of thousands of templates to get started. FREE TO TRY WITH YOUR TEAM • Millions run on Notion every day, from next-generation startups to established enterprises. • Import Google Docs, PDFs, and other content types easily to get started • Write and organize meeting notes, or transcribe with AI. • Collaboration and team work at your fingertips, in one connected workspace. • Connect tools like Figma, Slack, and GitHub to Notion. FREE FOR STUDENTS • Your study planner, class notes, to do lists and more, your way. Loved by millions of students worldwide. • Get organized for your best school year yet with beautiful, customizable templates created by students, for students. NOTES & DOCS Communication is made efficient with Notion's flexible building blocks. • Create docs with beautiful templates, images, to-dos, and 50+ more content types. • Meeting notes, projects, design systems, pitch decks, and more. • Find exactly what you need using Search with powerful filters to find content across your workspace. TASKS & PROJECTS Catch all details big and small in any workflow. • Workflow manager: Create your own priority labels, status tags, and automations to choose the exact info you want to track. • Capture every detail in a table. Break projects into manageable tasks to get the work done. AI One tool that does it all - search, generate, analyze, and chat - right inside Notion. • Write better. Use Notion AI to help write and brainstorm. • Get answers. Ask Notion AI questions about all your content and get answers in seconds. • Autofill tables. Notion AI turns overwhelming data into clear, actionable information — automatically. SYNCS WITH BROWSER, MAC, AND WINDOWS APPS. • Pick up on mobile where you left off on desktop. MORE PRODUCTIVITY. FEWER TOOLS. • Track to-dos, write notes, create docs, and manage projects in one connected workspace. THINK IT. MAKE IT. Updated on Jan 13, 2026 Productivity Data safety arrow_forward Safety starts with understanding how developers collect and share your data. Data privacy and security practices may vary based on your use, region, and age. The developer provided this information and may update it over time. This app may share these data types with third parties Personal info, App activity and 2 others This app may collect these data types Personal info, Photos and videos and 5 others Data is encrypted in transit You can request that data be deleted See details Ratings and reviews Ratings and reviews are verified info_outline arrow_forward Ratings and reviews are verified info_outline phone_android Phone laptop Chromebook tablet_android Tablet 4.8 319K reviews 5 4 3 2 1 Sommy Nriama more_vert Flag inappropriate Show review history <path d="M12 17.27L1 | 2026-01-13T09:29:59 |
https://play.google.com/store/apps/details?id=notion.id&hl=es_NI | Notion: Notes, Tasks, AI - Apps on Google Play Games Apps Books Kids google_logo Play Games Apps Books Kids none search help_outline Sign in with Google play_apps Library & devices payment Payments & subscriptions reviews My Play activity redeem Offers Play Pass Personalization in Play settings Settings Privacy Policy • Terms of Service Games Apps Books Kids Notion: Notes, Tasks, AI Notion Labs, Inc. In-app purchases 4.8 star 327K reviews 10M+ Downloads Rated for 3+ info Install Share Add to wishlist About this app arrow_forward Whether you’re looking to track your personal to-do’s, write and organize class notes, or run project management with a team, Notion is the AI-powered workspace that works your way, for any need. Keep track of your personal and professional goals, take notes about what you care about, and stay organized. "AI's everything app" — Forbes Notion is a productivity app where you can write, plan, and organize your notes, projects, tasks and more - all in one place. Ask Notion AI about project updates, upcoming tasks, and suggestions for a more streamlined workflow. Simplify writing notes, project and task management, and collaboration. Whether for personal, student or professional use, Notion scales to meet your individual needs with customization tools for everyone. FREE FOR PERSONAL USE • Create as many notes, docs, and content as you want. • Use one of thousands of templates to get started. FREE TO TRY WITH YOUR TEAM • Millions run on Notion every day, from next-generation startups to established enterprises. • Import Google Docs, PDFs, and other content types easily to get started • Write and organize meeting notes, or transcribe with AI. • Collaboration and team work at your fingertips, in one connected workspace. • Connect tools like Figma, Slack, and GitHub to Notion. FREE FOR STUDENTS • Your study planner, class notes, to do lists and more, your way. Loved by millions of students worldwide. • Get organized for your best school year yet with beautiful, customizable templates created by students, for students. NOTES & DOCS Communication is made efficient with Notion's flexible building blocks. • Create docs with beautiful templates, images, to-dos, and 50+ more content types. • Meeting notes, projects, design systems, pitch decks, and more. • Find exactly what you need using Search with powerful filters to find content across your workspace. TASKS & PROJECTS Catch all details big and small in any workflow. • Workflow manager: Create your own priority labels, status tags, and automations to choose the exact info you want to track. • Capture every detail in a table. Break projects into manageable tasks to get the work done. AI One tool that does it all - search, generate, analyze, and chat - right inside Notion. • Write better. Use Notion AI to help write and brainstorm. • Get answers. Ask Notion AI questions about all your content and get answers in seconds. • Autofill tables. Notion AI turns overwhelming data into clear, actionable information — automatically. SYNCS WITH BROWSER, MAC, AND WINDOWS APPS. • Pick up on mobile where you left off on desktop. MORE PRODUCTIVITY. FEWER TOOLS. • Track to-dos, write notes, create docs, and manage projects in one connected workspace. THINK IT. MAKE IT. Updated on Jan 13, 2026 Productivity Data safety arrow_forward Safety starts with understanding how developers collect and share your data. Data privacy and security practices may vary based on your use, region, and age. The developer provided this information and may update it over time. This app may share these data types with third parties Personal info, App activity and 2 others This app may collect these data types Personal info, Photos and videos and 5 others Data is encrypted in transit You can request that data be deleted See details Ratings and reviews Ratings and reviews are verified info_outline arrow_forward Ratings and reviews are verified info_outline phone_android Phone laptop Chromebook tablet_android Tablet 4.8 319K reviews 5 4 3 2 1 Sommy Nriama more_vert Flag inappropriate Show review history <path d="M12 17.27L18.18 2 | 2026-01-13T09:29:59 |
https://addons.mozilla.org/de/firefox/user/9873622/ | Benutzerprofil von Firefox-Benutzer 9873622 – Add-ons für Firefox (de) Um diese Add-ons zu verwenden, müssen Sie Firefox herunterladen. Diesen Hinweis verwerfen Add-ons für den Firefox-Browser Erweiterungen Themes Mehr… für Firefox Wörterbücher & Sprachpakete Andere Browser-Seiten Add-ons für Android Anmelden Suchen Suchen Firefox-Benutzer 9873622 Diesen Benutzer melden Erweiterungen von Firefox-Benutzer 9873622 Es liegen noch keine Bewertungen vor Es liegen noch keine Bewertungen vor Es liegen noch keine Bewertungen vor Es liegen noch keine Bewertungen vor Es liegen noch keine Bewertungen vor Es liegen noch keine Bewertungen vor Es liegen noch keine Bewertungen vor Es liegen noch keine Bewertungen vor Es liegen noch keine Bewertungen vor Es liegen noch keine Bewertungen vor Themes von Firefox-Benutzer 9873622 Es liegen noch keine Bewertungen vor Es liegen noch keine Bewertungen vor Es liegen noch keine Bewertungen vor Es liegen noch keine Bewertungen vor Es liegen noch keine Bewertungen vor Es liegen noch keine Bewertungen vor Es liegen noch keine Bewertungen vor Es liegen noch keine Bewertungen vor Es liegen noch keine Bewertungen vor Es liegen noch keine Bewertungen vor Es liegen noch keine Bewertungen vor Es liegen noch keine Bewertungen vor Zur Mozilla-Startseite gehen Add-ons Über Firefox-Add-ons-Blog Erweiterungs-Workshop Entwickler-Zentrum Regeln für Entwickler Blog der Gemeinschaft Forum Einen Fehler melden Bewertungsleitfaden Browser Desktop Mobile Enterprise Produkte Browsers VPN Relay Monitor Pocket Bluesky (@firefox.com) Instagram (Firefox) YouTube (firefoxchannel) Datenschutz Cookies Rechtliches Sofern nicht anders vermerkt , steht der Inhalt dieser Seite unter der Creative Commons Attribution Share-Alike License v3.0 oder einer späteren Version. Sprache ändern Čeština Deutsch Dolnoserbšćina Ελληνικά English (Canadian) English (British) English (US) Español (de Argentina) Español (de Chile) Español (de España) Español (de México) suomi Français Furlan Frysk עברית Hrvatski Hornjoserbsce magyar Interlingua Italiano 日本語 ქართული Taqbaylit 한국어 Norsk bokmål Nederlands Norsk nynorsk Polski Português (do Brasil) Português (Europeu) Română Русский slovenčina Slovenščina Shqip Svenska Türkçe Українська Tiếng Việt 中文 (简体) 正體中文 (繁體) | 2026-01-13T09:29:59 |
https://addons.mozilla.org/en-CA/firefox/addon/1password-x-password-manager/reviews/?score=5 | Reviews for 1Password: Password Manager – Add-ons for Firefox (en-CA) To use these add-ons, you'll need to download Firefox . Dismiss this notice Firefox Browser Add-ons Extensions Themes More… for Firefox Dictionaries & Language Packs Other Browser Sites Add-ons for Android Log in Search Search Reviews for 1Password: Password Manager 1Password: Password Manager by 1Password Rated 3.8 out of 5 3.8 Stars out of 5 5 1,033 4 182 3 108 2 106 1 342 1,033 reviews Show all reviews Show only five-star reviews Show only four-star reviews Show only three-star reviews Show only two-star reviews Show only one-star reviews Rated 5 out of 5 by sharxx47 , a month ago Rated 5 out of 5 by DonCan94 , a month ago Rated 5 out of 5 by Niels , 2 months ago Rated 5 out of 5 by versita , 3 months ago Rated 5 out of 5 by Firefox user 19526320 , 3 months ago Rated 5 out of 5 by Firefox user 19510897 , 3 months ago Rated 5 out of 5 by Ahmed_Elgaly333 , 4 months ago رائع جدا Flag Rated 5 out of 5 by MonsterMash , 5 months ago Been using this software for a few years on all my devices. Very reliable and consistent quality and easy to use even with apps on my phone. With the new browser add-on update, I don't have to click the icon in the toolbar so now it matches how it works in the chrome browser. Small but very appreciated update. Flag Rated 5 out of 5 by Firefox user 18624007 , 6 months ago Rated 5 out of 5 by Andi Dee , 6 months ago Inzwischen funktioniert das Firefox Add-On wieder :-) Flag Rated 5 out of 5 by Firefox user 19170033 , 6 months ago Rated 5 out of 5 by Firefox user 18067872 , 6 months ago Rated 5 out of 5 by TechR , 6 months ago Rated 5 out of 5 by Kimi , 6 months ago Rated 5 out of 5 by Aararr ndfcgklm ,/gvf , 6 months ago Rated 5 out of 5 by vorpel , 7 months ago Rated 5 out of 5 by Firefox user 18551744 , 7 months ago Rated 5 out of 5 by Zolo , 8 months ago Rated 5 out of 5 by Marco P , 8 months ago Literally the best password manager I have ever used. Very happy user for 7 years and counting Flag Rated 5 out of 5 by GregOpp , 8 months ago Rated 5 out of 5 by Bloqueador de Comentários do UOL , 8 months ago Rated 5 out of 5 by Harin Khakhi , 8 months ago Rated 5 out of 5 by Firefox user 18990653 , 8 months ago Rated 5 out of 5 by Susan Jaeger , 8 months ago Rated 5 out of 5 by Firefox user 17864904 , 8 months ago Previous 1 2 3 4 5 6 7 Next Page 1 of 42 Go to Mozilla’s homepage Add-ons About Firefox Add-ons Blog Extension Workshop Developer Hub Developer Policies Community Blog Forum Report a bug Review Guide Browsers Desktop Mobile Enterprise Products Browsers VPN Relay Monitor Pocket Bluesky (@firefox.com) Instagram (Firefox) YouTube (firefoxchannel) Privacy Cookies Legal Except where otherwise noted , content on this site is licensed under the Creative Commons Attribution Share-Alike License v3.0 or any later version. Change language Čeština Deutsch Dolnoserbšćina Ελληνικά English (Canadian) English (British) English (US) Español (de Argentina) Español (de Chile) Español (de España) Español (de México) suomi Français Furlan Frysk עברית Hrvatski Hornjoserbsce magyar Interlingua Italiano 日本語 ქართული Taqbaylit 한국어 Norsk bokmål Nederlands Norsk nynorsk Polski Português (do Brasil) Português (Europeu) Română Русский slovenčina Slovenščina Shqip Svenska Türkçe Українська Tiếng Việt 中文 (简体) 正體中文 (繁體) | 2026-01-13T09:30:00 |
https://play.google.com/store/apps/details?id=notion.id&hl=es_GT | Notion: Notes, Tasks, AI - Apps on Google Play Games Apps Books Kids google_logo Play Games Apps Books Kids none search help_outline Sign in with Google play_apps Library & devices payment Payments & subscriptions reviews My Play activity redeem Offers Play Pass Personalization in Play settings Settings Privacy Policy • Terms of Service Games Apps Books Kids Notion: Notes, Tasks, AI Notion Labs, Inc. In-app purchases 4.8 star 327K reviews 10M+ Downloads Rated for 3+ info Install Share Add to wishlist About this app arrow_forward Whether you’re looking to track your personal to-do’s, write and organize class notes, or run project management with a team, Notion is the AI-powered workspace that works your way, for any need. Keep track of your personal and professional goals, take notes about what you care about, and stay organized. "AI's everything app" — Forbes Notion is a productivity app where you can write, plan, and organize your notes, projects, tasks and more - all in one place. Ask Notion AI about project updates, upcoming tasks, and suggestions for a more streamlined workflow. Simplify writing notes, project and task management, and collaboration. Whether for personal, student or professional use, Notion scales to meet your individual needs with customization tools for everyone. FREE FOR PERSONAL USE • Create as many notes, docs, and content as you want. • Use one of thousands of templates to get started. FREE TO TRY WITH YOUR TEAM • Millions run on Notion every day, from next-generation startups to established enterprises. • Import Google Docs, PDFs, and other content types easily to get started • Write and organize meeting notes, or transcribe with AI. • Collaboration and team work at your fingertips, in one connected workspace. • Connect tools like Figma, Slack, and GitHub to Notion. FREE FOR STUDENTS • Your study planner, class notes, to do lists and more, your way. Loved by millions of students worldwide. • Get organized for your best school year yet with beautiful, customizable templates created by students, for students. NOTES & DOCS Communication is made efficient with Notion's flexible building blocks. • Create docs with beautiful templates, images, to-dos, and 50+ more content types. • Meeting notes, projects, design systems, pitch decks, and more. • Find exactly what you need using Search with powerful filters to find content across your workspace. TASKS & PROJECTS Catch all details big and small in any workflow. • Workflow manager: Create your own priority labels, status tags, and automations to choose the exact info you want to track. • Capture every detail in a table. Break projects into manageable tasks to get the work done. AI One tool that does it all - search, generate, analyze, and chat - right inside Notion. • Write better. Use Notion AI to help write and brainstorm. • Get answers. Ask Notion AI questions about all your content and get answers in seconds. • Autofill tables. Notion AI turns overwhelming data into clear, actionable information — automatically. SYNCS WITH BROWSER, MAC, AND WINDOWS APPS. • Pick up on mobile where you left off on desktop. MORE PRODUCTIVITY. FEWER TOOLS. • Track to-dos, write notes, create docs, and manage projects in one connected workspace. THINK IT. MAKE IT. Updated on Jan 13, 2026 Productivity Data safety arrow_forward Safety starts with understanding how developers collect and share your data. Data privacy and security practices may vary based on your use, region, and age. The developer provided this information and may update it over time. This app may share these data types with third parties Personal info, App activity and 2 others This app may collect these data types Personal info, Photos and videos and 5 others Data is encrypted in transit You can request that data be deleted See details Ratings and reviews Ratings and reviews are verified info_outline arrow_forward Ratings and reviews are verified info_outline phone_android Phone laptop Chromebook tablet_android Tablet 4.8 319K reviews 5 4 3 2 1 Sommy Nriama more_vert Flag inappropriate Show review history <path d="M12 17.27L18.18 | 2026-01-13T09:30:00 |
https://www.crn.com/news/cloud/2024/5-huge-aws-executive-hires-and-exits-including-ceo-selipsky | 5 Huge AWS Executive Hires And Exits, Including CEO Selipsky 5 Huge AWS Executive Hires And Exits, Including CEO Selipsky As AWS’ Adam Selipsky departs as CEO, CRN looks at the biggest executive departures and hirings of 2024 so far. From Amazon Web Services’ Adam Selipsky officially stepping down as CEO Monday to the recent hiring of Google Cloud’s former vice president of engineering, AWS is witnessing a major leadership shakeup. After three years of leading AWS, Selipsky officially left the company June 3, handing over the reins to longtime AWS veteran and new CEO Matt Garman . “AWS is better positioned than anyone to expand possibilities for customers going forward,” Selipsky recently said on LinkedIn. “Leaving things in good hands with Matt Garman and the team.” [Related: AWS CEO Selipsky Departs: ‘The Future Is Bright For AWS’; Garman Named New CEO ] Garman is an 18-year AWS veteran and most recently was senior vice president of AWS sales , marketing and global services. He first joined Amazon as a software development product manager for EC2 in 2006, working his way up the AWS ranks over the years. “I am more optimistic than I have ever been for the potential for innovation and growth ahead of us, and I look forward to helping us move faster, invent more and operate as one team to help our customers,” said Garman in a recent blog post. The Seattle-based company also has been hiring top-notch talent over the past several months as it continues to lead the cloud computing market. AWS currently owns 31 percent share of the global cloud infrastructure services market, according to IT research firm Synergy Research Group. Microsoft is in second place with 25 percent share of the global cloud market , then Google at 11 percent share. Here are the five most significant executive hires and departures at AWS over the past several months that partners, investors and customers should know about. Adam Selipsky (Exit) Former AWS Position: CEO Years At AWS: 15 New Position: Unknown Selipsky has been leading AWS since May 2021. During his tenure as CEO, Selipsky increased AWS sales to a $100 billion annual run rate and drove innovation, particularly around AI, in his three years as CEO. He officially left the company June 3. Selipsky was one of the first vice presidents AWS hired back in 2005. He spent 11 years leading AWS sales, marketing and support before leaving to become CEO of Tableau. He left Tableau in 2021 to rejoin AWS as CEO. “Matt [Garman] and the AWS leadership team are ready for this next big opportunity,” Selipsky recently said. “I’m excited to see what they and you do next because I know it will be impressive. The future is bright for AWS (and for Amazon).” Selipsky has yet to unveil what his next move will be. “I’m looking forward to taking some time off with family, while taking the opportunity to think about my next adventure,” he said. Baskar Sridharan (Hire) New AWS Position: VP, AI/ML Services, Infrastructure Former Position: VP, Engineering, Google Cloud Platform Years At Google And Microsoft: 21 AWS picked up a big Google and Microsoft expert with the hiring of Sridharan as the company’s new vice president of artificial intelligence and machine learning services and infrastructure. Sridharan will help lead AWS’ AI and generative AI strategy, including around Amazon SageMaker and Amazon Bedrock, core data services and ML infrastructure for developing deep learning frameworks and engines. Sridharan joined AWS in May after spending more than five years at Google Cloud. He was most recently vice president of engineering for the Google Cloud Platform, where he managed the engineering team for Google Compute Infrastructure as well as several product management teams within Google Cloud. From 2003 to 2018, Sridharan was a top engineering leader at Microsoft. Sridharan left Microsoft in 2018 as partner director of software engineering, Azure Data Lake and Cosmos. Praveen Rao (Exit) Former AWS Position: Global Head, Industrial Cloud, IoT, Analytics Years At AWS: 3 New Position: Managing Director, Manufacturing Industry, Google Cloud Rao held the big responsibility of being AWS’ global head of industrial cloud, IoT and analytics for the past three years. Rao was the global P&L leader of AWS’ go-to-market strategy, partner ecosystem, cloud product strategy, industry 4.0 initiatives and industrial data migrations and modernizations. He left AWS this year to join Google Cloud as managing director for the manufacturing industry vertical at Google, where he is responsible for strategy, solutions, go-to-market and the partner ecosystem in the space. Gee Rittenhouse (Hire) New AWS Position: VP, Enterprise Security Services Former Position: CEO, Skyhigh Security; Cisco SVP Rittenhouse left his role as CEO of cybersecurity provider Skyhigh Security this year to join AWS to help customers protect their data and applications. Rittenhouse is now vice president at AWS responsible for the company’s enterprise security services business. “AWS is renowned for its commitment to providing industry-leading cloud security, and together with our partners, I’m looking forward to building on this incredible foundation and solving our customers’ hardest security challenges,” Rittenhouse recently said on LinkedIn. Skyhigh Security is a security services company aimed at securing data with cloud-native solutions. Ashish Dhawan (Exit) Former AWS Position: Managing Director, Worldwide Head of Sales, Enterprise Workloads Years At AWS: 5 New Position: SVP, CRO, NetApp’s Cloud Business Unit Dhawan was AWS’ enterprise workload business leader for years, tasked with helping the company’s largest customers migrate their infrastructure and modernize their applications. He spent over five years at AWS, most recently as managing director and worldwide head of enterprise workload sales, where he led a $6 billion business. He left AWS to join NetApp in 2024 to lead the company’s cloud sales strategy. NetApp said Dhawan’s role was created to support NetApp’s continued commitment to the cloud with Dhawan leading a high-performing sales team. “As the leader of NetApp's Cloud Business Unit, I'm proud to be at the forefront of a rapidly growing industry that offers transformational workload and AI-led solutions for our customers,” Dhawan recently said on LinkedIn. | 2026-01-13T09:30:00 |
https://play.google.com/store/apps/details?id=notion.id&hl=gu | Notion: Notes, Tasks, AI - Apps on Google Play Games Apps Books Kids google_logo Play Games Apps Books Kids none search help_outline Sign in with Google play_apps Library & devices payment Payments & subscriptions reviews My Play activity redeem Offers Play Pass Personalization in Play settings Settings Privacy Policy • Terms of Service Games Apps Books Kids Notion: Notes, Tasks, AI Notion Labs, Inc. In-app purchases 4.8 star 327K reviews 10M+ Downloads Rated for 3+ info Install Share Add to wishlist About this app arrow_forward Whether you’re looking to track your personal to-do’s, write and organize class notes, or run project management with a team, Notion is the AI-powered workspace that works your way, for any need. Keep track of your personal and professional goals, take notes about what you care about, and stay organized. "AI's everything app" — Forbes Notion is a productivity app where you can write, plan, and organize your notes, projects, tasks and more - all in one place. Ask Notion AI about project updates, upcoming tasks, and suggestions for a more streamlined workflow. Simplify writing notes, project and task management, and collaboration. Whether for personal, student or professional use, Notion scales to meet your individual needs with customization tools for everyone. FREE FOR PERSONAL USE • Create as many notes, docs, and content as you want. • Use one of thousands of templates to get started. FREE TO TRY WITH YOUR TEAM • Millions run on Notion every day, from next-generation startups to established enterprises. • Import Google Docs, PDFs, and other content types easily to get started • Write and organize meeting notes, or transcribe with AI. • Collaboration and team work at your fingertips, in one connected workspace. • Connect tools like Figma, Slack, and GitHub to Notion. FREE FOR STUDENTS • Your study planner, class notes, to do lists and more, your way. Loved by millions of students worldwide. • Get organized for your best school year yet with beautiful, customizable templates created by students, for students. NOTES & DOCS Communication is made efficient with Notion's flexible building blocks. • Create docs with beautiful templates, images, to-dos, and 50+ more content types. • Meeting notes, projects, design systems, pitch decks, and more. • Find exactly what you need using Search with powerful filters to find content across your workspace. TASKS & PROJECTS Catch all details big and small in any workflow. • Workflow manager: Create your own priority labels, status tags, and automations to choose the exact info you want to track. • Capture every detail in a table. Break projects into manageable tasks to get the work done. AI One tool that does it all - search, generate, analyze, and chat - right inside Notion. • Write better. Use Notion AI to help write and brainstorm. • Get answers. Ask Notion AI questions about all your content and get answers in seconds. • Autofill tables. Notion AI turns overwhelming data into clear, actionable information — automatically. SYNCS WITH BROWSER, MAC, AND WINDOWS APPS. • Pick up on mobile where you left off on desktop. MORE PRODUCTIVITY. FEWER TOOLS. • Track to-dos, write notes, create docs, and manage projects in one connected workspace. THINK IT. MAKE IT. Updated on Jan 13, 2026 Productivity Data safety arrow_forward Safety starts with understanding how developers collect and share your data. Data privacy and security practices may vary based on your use, region, and age. The developer provided this information and may update it over time. This app may share these data types with third parties Personal info, App activity and 2 others This app may collect these data types Personal info, Photos and videos and 5 others Data is encrypted in transit You can request that data be deleted See details Ratings and reviews Ratings and reviews are verified info_outline arrow_forward Ratings and reviews are verified info_outline phone_android Phone laptop Chromebook tablet_android Tablet 4.8 319K reviews 5 4 3 2 1 Sommy Nriama more_vert Flag inappropriate Show review history <path d="M12 17.27L1 | 2026-01-13T09:30:00 |
https://addons.mozilla.org/cs/firefox/user/9873622/ | Profil uživatele Uživatel Firefoxu - 9873622 – Doplňky pro Firefox (cs) Pro používání těchto doplňků si stáhněte Firefox . Skrýt Doplňky do prohlížeče Firefox Rozšíření Motivy vzhledu Více… pro Firefox Slovníky a jazykové balíčky Ostatní stránky prohlížeče Doplňky pro Android Přihlásit se Hledat Hledat Uživatel Firefoxu - 9873622 Nahlásit tohoto uživatele Rozšíření od autora Uživatel Firefoxu - 9873622 Zatím nehodnoceno Zatím nehodnoceno Zatím nehodnoceno Zatím nehodnoceno Zatím nehodnoceno Zatím nehodnoceno Zatím nehodnoceno Zatím nehodnoceno Zatím nehodnoceno Zatím nehodnoceno Vzhledy od autora Uživatel Firefoxu - 9873622 Zatím nehodnoceno Zatím nehodnoceno Zatím nehodnoceno Zatím nehodnoceno Zatím nehodnoceno Zatím nehodnoceno Zatím nehodnoceno Zatím nehodnoceno Zatím nehodnoceno Zatím nehodnoceno Zatím nehodnoceno Zatím nehodnoceno Přejít na domovskou stránku Mozilly Počet doplňků O nás Blog doplňků pro Firefox Workshop tvorby rozšíření Pro vývojáře Pravidla pro vývojáře Blog komunity Fórum Nahlásit chybu Příručka recenzenta Prohlížeče Desktop Mobile Enterprise Produkty Browsers VPN Relay Monitor Pocket Bluesky (@firefox.com) Instagram (Firefox) YouTube (firefoxchannel) Ochrana soukromí Cookies Právní informace Není-li uvedeno jinak, obsah této stránky je šířen pod licencí Creative Commons Uveďte původ-Zachovejte licenci 3.0 nebo jakoukoli novější verzí. Změna jazyka Čeština Deutsch Dolnoserbšćina Ελληνικά English (Canadian) English (British) English (US) Español (de Argentina) Español (de Chile) Español (de España) Español (de México) suomi Français Furlan Frysk עברית Hrvatski Hornjoserbsce magyar Interlingua Italiano 日本語 ქართული Taqbaylit 한국어 Norsk bokmål Nederlands Norsk nynorsk Polski Português (do Brasil) Português (Europeu) Română Русский slovenčina Slovenščina Shqip Svenska Türkçe Українська Tiếng Việt 中文 (简体) 正體中文 (繁體) | 2026-01-13T09:30:00 |
https://www.notion.com/de/blog/topic/first-block | First Block – Werkzeuge und Handwerk – Notion Notion Funktionen Notion-KI Erschaffen, schreiben, automatisieren Agenten Übernehmen manuelle Aufgaben Enterprise Suche Finde Antworten in Sekundenschnelle Smart Notes Perfekt geschrieben von der KI Dokumente Einfach und leistungsstark Wissensdatenbank Bündle dein Wissen Projekte Verwalte jede Art von Projekt Websites Veröffentliche alles Mögliche im Handumdrehen Loslegen KI-Anwendungsfälle entdecken Schau dir an, wozu die Notion-KI in der Lage ist Marktplatz durchstöbern Vorlagen für alles Mögliche Einbindungen anzeigen Verbinde deine Apps mit Notion Web Clipper herunterladen Speichere Inhalte aus dem Web in Notion Teste die Desktop-App von Notion für mehr Geschwindigkeit App herunterladen Mail Calendar KI Enterprise Tarife Erkunden Teams Entwicklung und Produkt Design Marketing IT Teamgröße Start-ups KMUs Konzerne Bildungswesen Lernen Hilfe-Center Notion Academy Erfahrungsberichte von Kund/-innen Blog Community Partnerprogramme Entwickeln API Vorlagen Sicherheit Beratung Fordere eine Demo an Anmelden Nutze Notion kostenlos Gedanken über die Zukunft der Arbeit, von den Menschen und Teams, die sie schaffen. Neueste Notion HQ Für Teams Technik Mail Inspiration Podcast First Block First Block — Erkenntnisse von den führenden Stimmen der Start-up-Szene. First Block mit Fabian Hedin, Mitgründer und CTO von Lovable In dieser Folge haben wir mit Fabian Hedin über Minecraft gesprochen, über den mutigen Schritt, Softwareentwicklung für alle zugänglich zu machen und darüber, warum es sich lohnt, schon heute auf die Möglichkeiten von KI zu setzen, statt auf die Technik von morgen zu hoffen. Anastasia Crew Start-up Marketing-Lead First Block mit Ant Wilson, Mitgründer und CTO von Supabase In dieser Folge haben wir mit Ant Wilson über seine Erfahrungen als Gründer gesprochen, darüber, wie wertvoll es ist, eigene Herausforderungen zu meistern, und weshalb echte Beziehungen zur Community wirklich einen Unterschied machen. Anastasia Crew Start-up Marketing-Lead First Block mit Adeyemi Ajao, Co-Founder und Managing Partner bei Base10 In dieser Folge sprachen wir mit Adeyemi Ajao, Co-Founder und Managing Partner bei Base10. Adeyemi erzählt mehr über die Bedeutung einer echten Gemeinschaft, seine Erfahrungen als CEO und seinen Weg vom Gründer zum Investor. Anastasia Crew Start-up Marketing-Lead First Block mit Vlad Magdalin, Mitgründer und CEO von Webflow In dieser Folge berichtet Vlad Magdalin, Mitgründer und CEO von Webflow, Er berichtet über die Anfänge seines Unternehmens und den Weg von Webflow zu nachhaltigem Wachstum und tragfähiger Finanzierung und erklärt, warum es wichtig ist, sich bei der Produktentwicklung auf das Kernprodukt und die Zielgruppe zu konzentrieren. Anastasia Crew Start-up Marketing-Lead First Block mit Daniela Amodei, Präsidentin und Mitbegründerin von Anthropic In dieser Folge sprachen wir mit Daniela Amodei, der Präsidentin und Mitbegründerin von Anthropic. Sie erzählt von der Entwicklung der Verantwortlichkeiten in einem schnell wachsenden Unternehmen und warum Nutzerfeedback für die Produktentwicklung so wichtig ist. Anastasia Crew Start-up Marketing-Lead First Block mit Mathilde Collin, Mitbegründerin und CEO von Front In dieser Folge sprachen wir mit Mathilde Collin, Mitbegründerin und CEO bei Front. Mathilde spricht darüber, welche Rolle der Kundenservice für den Erfolg eines Unternehmens spielt und warum Transparenz der Schlüssel zum Mitarbeiterengagement ist. Anastasia Crew Start-up Marketing-Lead First Block mit Christina Cacioppo, Mitbegründerin und CEO von Vanta In unserer dritten Folge haben wir mit Christina Cacioppo gesprochen, Mitbegründerin und CEO von Vanta. Christina erzählt, welche Rolle Kund/-innen bei der Entwicklung von Produkten spielen und wie sie das Selbstvertrauen fand, ein Unternehmen zu gründen. Anastasia Crew Start-up Marketing-Lead First Block mit Julianna Lamb, Mitbegründerin und CTO von Stytch In dieser Folge sprachen wir mit Julianna Lamb, Mitbegründerin und CTO von Stytch. Julianna berichtet von ihren Erfahrungen beim Aufbau des Unternehmens und seiner beeindruckenden Technologie. Anastasia Crew Start-up Marketing-Lead First Block mit Parker Conrad, CEO und Mitbegründer von Rippling In dieser Folge von First Block spricht Parker Conrad, Mitbegründer und CEO von Rippling, über die Besonderheiten seiner unternehmerischen Reise und was er auf seinem Weg gelernt hat. Anastasia Crew Start-up Marketing-Lead First Block with Garrett Lord, Co-founder and CEO of Handshake In this episode, Garrett shares his journey from growing up in a working-class family to building a company that democratizes access to career opportunities. Anastasia Crew Start-up Marketing-Lead First Block with Jesse Zhang, Co-founder and CEO of Decagon In this episode, Jesse shares his journey from a painful first startup experience to building Decagon with intentional customer discovery, and why commercial thinking matters as much as technical excellence. Anastasia Crew Start-up Marketing-Lead First Block with Brendan Foody, Co-founder and CEO of Mercor In this episode, we spoke with Brendan Foody, Co-founder and CEO of Mercor, about his decision to drop out of college, and how he positioned himself perfectly for the AI talent revolution. Anastasia Crew Start-up Marketing-Lead First Block with Varun Anand, Co-founder of Clay In this episode, we spoke with Varun Anand, Co-founder of Clay, about the journey to finding product-market fit, becoming a specialized go-to-market platform, and curiosity matters more than traditional startup wisdom. Anastasia Crew Start-up Marketing-Lead First Block with Michael Truell, Co-founder and CEO of Cursor In this episode, we spoke with Michael Truell, Co-founder and CEO of Cursor. He shares his insights on pivoting from mechanical engineering AI to developer tools, and why sometimes breaking startup orthodoxy is exactly what you need to do. Anastasia Crew Start-up Marketing-Lead First Block with Notion Co-Founders Ivan Zhao and Simon Last On this episode, we spoke with Notion Co-Founders Ivan Zhao and Simon Last. Ivan and Simon share more about the early days of building Notion, creating a global community, why scaling company culture is so important. Anastasia Crew Start-up Marketing-Lead 1 2 → Deutsch Cookie-Einstellungen © 2026 Notion Labs, Inc. Unternehmen Über uns Karriere Sicherheit Status Nutzungsbedingungen und Datenschutz Deine Datenschutzrechte Download iOS und Android Mac und Windows Calendar Web Clipper Ressourcen Hilfe-Center Preise Blog Community Einbindungen Vorlagen Partnerprogramme Notion für Unternehmen Kleine Unternehmen Persönlich Mehr entdecken → | 2026-01-13T09:30:00 |
https://www.crn.com/news/cloud/2024/5-new-google-cloud-sap-products-launched-at-sapphire-for-ai-hana-and-cloud | 5 New Google Cloud-SAP Products Launched At Sapphire For AI, HANA And Cloud 5 New Google Cloud-SAP Products Launched At Sapphire For AI, HANA And Cloud Here are the five biggest new integrated product launches from SAP and Google Cloud unveiled at SAP Sapphire 2024 Tuesday that all partners and customers need to know about. SAP and Google Cloud launched a slew of new innovations together at SAP Sapphire 2024 Tuesday in Orlando, Fla., including a new AI-powered offering to enable a more resilient supply chain and integrating BigQuery with SAP Datasphere on the Google Cloud Marketplace. “The business AI innovations we’re announcing at SAP Sapphire in 2024 will redefine the way businesses run,” said SAP CEO Christian Klein at SAP Sapphire Tuesday. “Today’s AI announcements and partnerships build on our commitment to deliver revolutionary technology that drives real-world results, helping customers unleash the agility and ingenuity they need to succeed in today’s fast-moving business landscape.” SAP and Google Cloud are doubling down on their partnership by using AI to help enterprises better predict and mitigate supply chain risks to minimize disruptions and maintain optimal inventory levels. [Related: 5 Huge AWS Executives Hires And Exits, Including CEO Selipsky ] The two companies will integrate SAP’s generative AI product, Joule, and the SAP Integrated Business Planning for Supply Chain offering with Google Cloud’s Gemini models AI assistant and Google Cloud Cortex Framework’s data foundation. The tech giants also said that Google Cloud’s new memory-optimized X4 instances will provide the largest SAP certified compute instances in the cloud market , supporting up to 32-TB SAP HANA workloads. SAP Sapphire 2024 SAP’s flagship Sapphire 2024 conference is being held from June 3 to June 4. Thousands of partners, customers and employees are attending the event, which offers hands-on demos, keynotes from SAP leaders and the ability for partners to connect with SAP experts and peers to explore strategies. CRN takes a deep technology dive into the five biggest launches from Google Cloud and SAP launched at SAP Sapphire 2024 Tuesday that partners and customers need to know about. Google Gemini With SAP Cortex Framework In one of the biggest product announcements at Sapphire, SAP said the company will combine its SAP Joule and Integrated Business Planning (IBP) for Supply Planning with Google Cloud’s Cortex Framework and Gemini models. By integrating Cortex Framework and Gemini models with SAP’s generative AI assistant, Joule, and IBP for Supply Planning, customers can accelerate insight from sensed events and risks and identify opportunities to enable faster and smarter supply chain responses. With an AI-powered resilient supply chain, Google Cloud said customers can also help better predict demand and mitigate supply chain risk, with use cases that include enhanced demand forecasting that integrates diverse data sources, such as marketing campaigns. Additional use cases include mitigation of supply chain risks with proactive disruption detection and alerts, fueled by additional data sources such as weather and event data. Google’s X4 Machine Family Of Instances Designed For SAP HANA Google Cloud’s memory-optimized X4 instances will now provide the largest SAP-certified compute instances in the cloud market, supporting up to 32-TB SAP HANA workloads. Google Cloud’s X4 machine family—featuring 16-TB, 24-TB and 32-TB instances—are designed specifically for SAP HANA OLTP and OLAP workloads to operate with highest performance and reliability. The new innovation comes as the demand for more memory and compute-intensive machines to handle giant workloads keeps growing when enterprises migrate to SAP S/4HANA on the cloud. One key is that Google’s X4 family is offering 1,920 vCPUs, more than double the number of vCPUs of other certified hyperscaler offerings, while also providing compute and Hyperdisk block storage performance—up to 10,000 MBps throughput—enabled by Google Cloud’s Titanium offload technology. These systems benefit from Google Cloud’s infrastructure differentiators, including the largest network footprint delivering low latency for SAP workloads and robust security measures such as built-in encryption and proactive threat detection. SAP Datasphere With BigQuery Hits The Google Cloud Marketplace SAP launched an integrated BigQuery analytics offering with SAP Datasphere that is now available on the Google Cloud Marketplace. The SAP Datasphere integration with BigQuery aims to deliver real-time access to customers’ SAP and non-SAP data, including publicly available datasets within BigQuery and other integrated data like Google Ads, accelerated via Cortex Framework. In addition, SAP Datasphere’s Replication Flow now offers bidirectional replication and federation with BigQuery, enabling a petabyte-scale platform for analytics and data science, as well as a foundation for machine learning and GenAI using Vertex AI with Gemini. Google said all of this is now available “out of the box” with SAP Datasphere for Google Cloud, which is available on the Google Cloud Marketplace. Google’s New X4 Systems Now Supports SAP RISE Unveiled at Sapphire Tuesday, SAP RISE will now support Google Cloud’s latest 16,- 24- and 32-TB X4 systems. This co-engineered offering aims to deliver the reliability and performance needed for the largest and most demanding SAP workloads. “SAP and Google Cloud have a deep co-innovation partnership, and we’re continuously launching new, differentiated solutions to benefit RISE with SAP customers,” said Lalit Patil, CTO of RISE, in a statement. Google Cloud said its goal with its new high-performance X4 Instance family is to be the most reliable and scalable cloud provider for RISE with SAP workloads. SAP Expands Global Access For RISE SAP is making its RISE portfolio more generally available on a global basis. At Sapphire, SAP unveiled the availability of EU Access for RISE on Google Cloud. The new offering addresses the regulatory and compliance requirements of both companies’ European customers. SAP also unveiled the expansion of its SAP BTP and Datasphere footprint with new regions launching in Israel and Japan this quarter, as well as in Saudi Arabia, Australia and Brazil later this year. Lastly, the two companies unveiled the availability of Google Gemini LLMs in SAP GenAI Hub to support embedded generative AI features alongside SAP Joule. | 2026-01-13T09:30:00 |
https://play.google.com/store/apps/details?id=notion.id&hl=es_HN | Notion: Notes, Tasks, AI - Apps on Google Play Games Apps Books Kids google_logo Play Games Apps Books Kids none search help_outline Sign in with Google play_apps Library & devices payment Payments & subscriptions reviews My Play activity redeem Offers Play Pass Personalization in Play settings Settings Privacy Policy • Terms of Service Games Apps Books Kids Notion: Notes, Tasks, AI Notion Labs, Inc. In-app purchases 4.8 star 327K reviews 10M+ Downloads Rated for 3+ info Install Share Add to wishlist About this app arrow_forward Whether you’re looking to track your personal to-do’s, write and organize class notes, or run project management with a team, Notion is the AI-powered workspace that works your way, for any need. Keep track of your personal and professional goals, take notes about what you care about, and stay organized. "AI's everything app" — Forbes Notion is a productivity app where you can write, plan, and organize your notes, projects, tasks and more - all in one place. Ask Notion AI about project updates, upcoming tasks, and suggestions for a more streamlined workflow. Simplify writing notes, project and task management, and collaboration. Whether for personal, student or professional use, Notion scales to meet your individual needs with customization tools for everyone. FREE FOR PERSONAL USE • Create as many notes, docs, and content as you want. • Use one of thousands of templates to get started. FREE TO TRY WITH YOUR TEAM • Millions run on Notion every day, from next-generation startups to established enterprises. • Import Google Docs, PDFs, and other content types easily to get started • Write and organize meeting notes, or transcribe with AI. • Collaboration and team work at your fingertips, in one connected workspace. • Connect tools like Figma, Slack, and GitHub to Notion. FREE FOR STUDENTS • Your study planner, class notes, to do lists and more, your way. Loved by millions of students worldwide. • Get organized for your best school year yet with beautiful, customizable templates created by students, for students. NOTES & DOCS Communication is made efficient with Notion's flexible building blocks. • Create docs with beautiful templates, images, to-dos, and 50+ more content types. • Meeting notes, projects, design systems, pitch decks, and more. • Find exactly what you need using Search with powerful filters to find content across your workspace. TASKS & PROJECTS Catch all details big and small in any workflow. • Workflow manager: Create your own priority labels, status tags, and automations to choose the exact info you want to track. • Capture every detail in a table. Break projects into manageable tasks to get the work done. AI One tool that does it all - search, generate, analyze, and chat - right inside Notion. • Write better. Use Notion AI to help write and brainstorm. • Get answers. Ask Notion AI questions about all your content and get answers in seconds. • Autofill tables. Notion AI turns overwhelming data into clear, actionable information — automatically. SYNCS WITH BROWSER, MAC, AND WINDOWS APPS. • Pick up on mobile where you left off on desktop. MORE PRODUCTIVITY. FEWER TOOLS. • Track to-dos, write notes, create docs, and manage projects in one connected workspace. THINK IT. MAKE IT. Updated on Jan 13, 2026 Productivity Data safety arrow_forward Safety starts with understanding how developers collect and share your data. Data privacy and security practices may vary based on your use, region, and age. The developer provided this information and may update it over time. This app may share these data types with third parties Personal info, App activity and 2 others This app may collect these data types Personal info, Photos and videos and 5 others Data is encrypted in transit You can request that data be deleted See details Ratings and reviews Ratings and reviews are verified info_outline arrow_forward Ratings and reviews are verified info_outline phone_android Phone laptop Chromebook tablet_android Tablet 4.8 319K reviews 5 4 3 2 1 Sommy Nriama more_vert Flag inappropriate Show review history <path d="M12 17.27L18.18 2 | 2026-01-13T09:30:00 |
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https://www.notion.com/id/partners | Jadilah Mitra Notion | Notion Notion Fitur Notion AI Buat, tulis, otomatiskan Agent Menangani tugas manual Enterprise Search Temukan jawaban secara cepat AI Meeting Notes Ditulis dengan sempurna oleh AI Docs Sederhana & berdaya guna Basis Pengetahuan Pusatkan pengetahuan Anda Projects Kelola proyek Sites Publikasikan apa saja, dengan cepat Memulai Jelajahi kasus penggunaan AI Lihat apa saja yang bisa dilakukan Notion AI Telusuri marketplace Templat untuk semua hal Lihat integrasi Hubungkan aplikasi Anda dengan Notion Unduh web clipper Simpan dari web ke Notion Coba aplikasi desktop Notion untuk pengalaman yang lebih cepat Unduh aplikasi Mail Kalender AI Perusahaan Harga Jelajahi Tim Teknik & Produk Desain Pemasaran TI Ukuran tim Startup UKM Perusahaan Pendidikan Pelajari Pusat bantuan Notion Academy Cerita pelanggan Blog Komunitas Program mitra Buat API Templat Keamanan Konsultan Minta demo Masuk Dapatkan Notion gratis Jadilah mitra Notion. Misi kami adalah menjadikan pembuatan alat perangkat lunak dapat diakses semua orang, tapi kami tidak bisa melakukannya sendirian. Bergabunglah sebagai mitra Notion dan berkembanglah bersama kami. Program kemitraan mana yang paling tepat untuk Anda? Temukan program mitra yang sesuai dengan Anda dan nikmati manfaat bekerja sama dengan Notion. Program Mitra Teknologi Notion bekerja optimal saat terhubung dengan alat lain yang mendukung pekerjaan kami. Mitra teknologi kami mewujudkannya dengan membangun integrasi yang menghubungkan alur kerja, meningkatkan produktivitas, dan memberikan pengalaman terbaik bagi pengguna bersama. Jadilah mitra teknologi → Program Mitra Solusi Bantu kami mendukung kebutuhan unik pelanggan Notion sekaligus mengembangkan bisnis Anda. Mitra Solusi mendapatkan peluang penjualan dan layanan baru, prioritas prospek, serta manfaat dari dukungan & sumber daya khusus. Jadilah mitra solusi → Program Mitra Keamanan & Kepatuhan Bergabunglah dengan puluhan Mitra Keamanan & Kepatuhan di seluruh dunia dan bantu kami memastikan keamanan serta kepatuhan bagi pelanggan Notion Paket Perusahaan. Jadilah mitra keamanan & kepatuhan → Program Mitra Startup Berikan akses Notion gratis dan berbagai sumber daya untuk jaringan startup Anda, termasuk 6 bulan gratis Paket Bisnis dengan Notion AI, diskon perangkat lunak eksklusif, serta akses ke Komunitas Startups Champions kami. Jadilah mitra startup → Program Builder Untuk para kreator, pendiri, dan inovator yang membangun masa depan—di Notion. Perkuat suara Anda di ekosistem startup sambil menawarkan Notion Paket Bisnis dengan Notion AI secara gratis selama 3 bulan kepada audiens Anda. Jadilah mitra builder → Bergabunglah dengan ekosistem kami yang terdiri dari 1.000+ mitra Notion. Integrasi Figma di Notion menghadirkan cara visual dan lancar untuk menggunakan alat kami bersama, memuaskan pengguna bersama kami, dan membuat kerja jadi lebih kolaboratif. Anna Kohnen Kepala Kemitraan di Figma, mitra teknologi Notion Kami sangat senang bermitra dengan Notion. Program startup dari Intercom dan Notion memberi nilai besar bagi startup, memberdayakan para pendiri dengan alat-alat yang mereka butuhkan untuk mengembangkan bisnis. Pedro Muller Kepala Startup di Intercom, mitra startup Notion Saya senang berbagi alat yang saya buat di dalam Notion. Program afiliasi Notion membuat saya bisa tetap melakukan apa yang saya mau, sambil menghasilkan uang. Thomas Frank Konten kreator, mitra afiliasi Notion Lebih banyak cara untuk berkontribusi. Marketplace Jadilah kreator templat Apakah Anda punya setup keren untuk dibagikan? Publikasikan dan jual templat Anda di Marketplace Notion. Kirim templat → Database Rekrut Mitra Solusi Mitra Solusi Notion adalah pakar produktivitas tepercaya dan arsitek solusi. Mulai → Bahasa Indonesia Pengaturan cookie © 2026 Notion Labs, Inc. Perusahaan Tentang kami Karier Keamanan Status Ketentuan & privasi Hak privasi Anda Unduh iOS & Android Mac & Windows Kalender Web Clipper Sumber Daya Pusat bantuan Harga Blog Komunitas Integrasi Templat Program mitra Notion untuk Perusahaan Usaha kecil Personal Telusuri lebih lanjut → | 2026-01-13T09:30:00 |
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