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https://www.linkedin.com/company/the-ceo-views?trk=public_post_feed-actor-image | The CEO Views | LinkedIn Skip to main content LinkedIn Top Content People Learning Jobs Games Sign in Register now The CEO Views Book and Periodical Publishing FARMINGTON HILLS, MI 3,111 followers The CEO Views aims at providing the perfect platform for entrepreneurs to connect with the peers of their industry. Follow View all 16 employees Report this company About us The CEO Views aims at providing the perfect platform for entrepreneurs to connect with the peers of their industry. Our passion and thirst for knowledge in the field of business and technology have been the dominant reason we have emerged and continue to thrive in the marketplace. The trends and innovations impacting the technology landscape today are numerous. Identifying the cause, the effect, and the overall outcome of a breakthrough becomes significant; because on pursuit there is something big in the offering, an idea holds much greater value, than the person. But to get to an idea people are its greatest inheritors. There are sheer hard work and persistent efforts put by the technologists of tomorrow. This is how leaders are born. The sheer courage and tenacity they exhibit to explore and come up with out-of-the-box thinking. The CEO Views identifies such innovations, the peddling involved and stories of people behind the peddling- all take center stage. The CEO Views brings together CXOs, CIOs and the various other C-Level executives of organizations to share their experiences on a single platform. The challenges that exist, the quality that makes them different from the others in the competition, driving innovation, and how effectively they offer solutions to the pressing challenges of the market they serve. The future editions will serve as the medium for all forward-thinking executives to learn about some of the interesting technological advancements in areas such as Cloud, Big Data, IoT, Mobility and much more. Website http://theceoviews.com/ External link for The CEO Views Industry Book and Periodical Publishing Company size 11-50 employees Headquarters FARMINGTON HILLS, MI Type Privately Held Founded 2017 Specialties Media & Technology, Advertisement, Printing & Publishing, Profiling, News and Informations, Editorial, Magazines, IT Solutions & Services, Locations Primary GENEVA DR, ,48331 FARMINGTON HILLS, MI 48331, US Get directions Employees at The CEO Views Ananta Sahu Kitty Scott M Ranjan Jennifer Parker ✔ See all employees Updates The CEO Views 3,111 followers 16h Report this post Effective customer communication is the foundation of trust and long-term relationships 🤝✨ Clear, honest, and timely interactions make all the difference in today’s competitive world. Read More: https://lnkd.in/dCa4WWjX #CustomerTrust #BusinessGrowth #Leadership Like Comment Share The CEO Views 3,111 followers 16h Report this post 🚗🤖 California is taking a big step toward safer roads by updating regulations for autonomous vehicles. These changes aim to improve safety, accountability, and innovation across the state. 🌉🛣️ Read More: https://lnkd.in/d3BxJ4Ed #AutonomousVehicles #RoadSafety #TechInnovation 1 Like Comment Share The CEO Views 3,111 followers 20h Report this post Iranian Leaders are Seeking Negotiations with Trump Amidst Anti-regime Protests Iranian leaders are seeking negotiations with U.S. President Donald Trump amidst anti-regime protests, which took 538 lives and caused 10600 detentions across the nation. Trump revealed on Saturday, “They want to negotiate... a meeting is being set up, but we may have to act because of what's happening, before the meeting.” Trump marked out Tehran for the killing of protestors who were “not supposed to be killed,” demanding strict scrutiny, “We're looking at it very seriously. The military is looking at it, and we're looking at some strong options, and we're going to decide very soon,” emphasized Trump. View More: https://lnkd.in/dnxfmDGA Like Comment Share The CEO Views 3,111 followers 1d Report this post 🚗🤖 A recent Zoox software error is sparking serious questions about the safety of self-driving technology. As autonomous vehicles evolve, reliability and public trust matter more than ever. ⚠️ Read More: https://lnkd.in/dDznMW_3 #SelfDriving #AI #TechSafety 2 Like Comment Share The CEO Views 3,111 followers 2d Report this post Ignoring early complaints can quietly turn into major liability risks for companies ⚠️ What starts small can lead to legal, financial, and reputational damage if left unaddressed. Read More: https://lnkd.in/dcWbAtkT #Leadership #RiskManagement #BusinessInsights Like Comment Share The CEO Views 3,111 followers 2d Report this post Is a 300 Mbps fiber plan enough for multiple users at home? 📶👨👩👧👦 Find out how it handles streaming, gaming, work, and more—without the lag! 🚀 Read More: https://lnkd.in/dzeM4yKr #FiberInternet #WiFiSpeed #SmartLiving Like Comment Share The CEO Views 3,111 followers 3d Report this post Discover how monoclonal antibodies play a crucial role in studying smooth muscle actin and advancing biomedical research 🔬🧬 A quick, insightful read for science and healthcare enthusiasts! Read More https://lnkd.in/ddWpJ2fV #Biotech #MedicalResearch #HealthcareInnovation 3 Like Comment Share The CEO Views 3,111 followers 3d Report this post U.S. Trade Measures Affecting Aviation and Other Industries The turbulent global trade environment has led to a substantial surge in tariff negotiations worldwide, with a far-reaching impact on various industries. Although aviation and aerospace have largely avoided the most significant disruptions, uncertainty surrounding tariffs and negotiations continues to impact derivative sectors. According to the U.S. Customs and Border Protection agency’s update on December 14, 2025, the U.S. government has collected more than $133.5 billion due to the Trump-imposed tariffs. No matter what the outcome, the aviation and aerospace industry continues with zero-for-zero tariffs in most places, and steel and aluminum tariffs are under strict scrutiny. View More: https://lnkd.in/dQWeXQ4N Like Comment Share The CEO Views 3,111 followers 3d Report this post Planning to strengthen your Subclass 100 Partner Visa submission? 🇦🇺💍 Discover key tips and insights to make your application stronger and more successful. ✅✨ Read More: https://lnkd.in/dG6HAbrf #PartnerVisa #AustraliaVisa #MigrationTips Like Comment Share The CEO Views 3,111 followers 4d Report this post Sports are evolving fast—and so are the business models behind them. 🏟️📈 From tech-driven fan engagement to smarter revenue streams, here’s how major sports organizations are gearing up for 2026. 🚀⚽ Read More: https://lnkd.in/dVierdtR #SportsBusiness #FutureOfSports #Innovation Like Comment Share Join now to see what you are missing Find people you know at The CEO Views Browse recommended jobs for you View all updates, news, and articles Join now Similar pages CIO Views Magazine Media Production Austin, Texas The CEO Publication Periodical Publishing CEO Update Book and Periodical Publishing Washington, DC CEO Scoop Technology, Information and Media The CEO Magazine Global Broadcast Media Production and Distribution Sydney, New South Wales CEO Reporter Retail Books and Printed News Mountain View, California CEO Today Book and Periodical Publishing Lichfield , Staffordshire CIO Magazine® Book and Periodical Publishing CEO Connection Executive Offices Syosset, New York The CEO Magazine - Europe Broadcast Media Production and Distribution Show more similar pages Show fewer similar pages Browse jobs Technical Architect jobs 89,814 open jobs Analyst jobs 694,057 open jobs Education Administrator jobs 49,435 open jobs Educational Consultant jobs 3,801 open jobs Executive jobs 690,514 open jobs Tutor jobs 247,056 open jobs Project Manager jobs 253,048 open jobs More searches More searches Chief Executive Officer jobs Video Editor jobs Search Engine Optimization Specialist jobs Data Analyst jobs LinkedIn © 2026 About Accessibility User Agreement Privacy Policy Cookie Policy Copyright Policy Brand Policy Guest Controls Community Guidelines العربية (Arabic) বাংলা (Bangla) Čeština (Czech) Dansk (Danish) Deutsch (German) Ελληνικά (Greek) English (English) Español (Spanish) فارسی (Persian) Suomi (Finnish) Français (French) हिंदी (Hindi) Magyar (Hungarian) Bahasa Indonesia (Indonesian) Italiano (Italian) עברית (Hebrew) 日本語 (Japanese) 한국어 (Korean) मराठी (Marathi) Bahasa Malaysia (Malay) Nederlands (Dutch) Norsk (Norwegian) ਪੰਜਾਬੀ (Punjabi) Polski (Polish) Português (Portuguese) Română (Romanian) Русский (Russian) Svenska (Swedish) తెలుగు (Telugu) ภาษาไทย (Thai) Tagalog (Tagalog) Türkçe (Turkish) Українська (Ukrainian) Tiếng Việt (Vietnamese) 简体中文 (Chinese (Simplified)) 正體中文 (Chinese (Traditional)) Language Agree & Join LinkedIn By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . 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UK costs, grants, pros and cons Save ‘I don’t regret my heat pump – here’s why you should get one, too’ Save More from Telegraph Money Don’t tax cash held in stocks and shares Isas, Reeves told Save The worst places to buy property in 2026 Save Record two million workers to fall into £100,000 tax trap Save The rise of the millennial landlord Save Brighton Georgian townhouse (with secret tunnel to the beach) hits the market for £1.4m Save ‘I don’t want to get married for a third time – is it the only way my partner will get my pension?’ Save 320,000 pensioners hit with four-figure ‘retirement tax’ bills Save Why Labour’s cash Isa raid could completely backfire Save Pagination Previous Next Telegraph Money From savings and pensions to tax, bills and investing, Telegraph Money helps you take control of your finances. Our expert journalists bring you clear, practical advice and the latest news to help you make smarter money decisions every day. 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See more MA Mannikun Dec 27, 2025 Verified Always a bit nervous giving my account over to anyone but these guys are legit and super kind when they have helped me out, fast delivery, overall great Company replied BR Brandon 6 days ago Verified fast, reliable, safe. i've been buying from damnmodz for years and he's the only person i buy from. Company replied RC Returning customer Nov 6, 2025 Verified This is my third or fourth time working with Damnmodz across several games. This is my first time having to give account information to receive what I ordered. Naturally, that leaves me in a very vu... 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See more Company replied SJ Steven James Dec 16, 2025 Jose is amazing at his job that’s who did my COD Bot Lobby and I got to tell you the experience,the way it works is so simple, everything is easy and understandable this Site is 10/10 5 Star + USE THE... See more Company replied VA Vanixaty Jun 23, 2025 Verified Bought the 4x fast run service for my main GTA 5 PS5 Account, the whole process went smooth and easy. Damnmodz completed my order in just 2 days and were quick to response all questions I had. Overall... See more PC Promising Customer Dec 25, 2025 Verified Always a pleasure shopping with damnmodz.! Been getting accounts serviced by them for years never had an issue always fast, reliable, and trustworthy. Recommend in the community for all services.! Company replied SI Sim Nov 24, 2025 Once again DamnModz delivers with excellent service and communication. Got the Bo7 singularity package. Was quick, easy, and my supplier was great. You can tell they take great pride in what they do.... See more Company replied DJH Aug 27, 2025 I had such a great experience with this service. The turnaround time was super fast, and the care they took with my account and security made me feel completely at ease. Communication was spot on... See more Company replied King Taylor Nov 15, 2025 Around my 4th time purchasing from them and it never fails to amaze me. Great service, Fast delivery, Great communication, they will take care of you and keep you satisfied every time. Company replied AM Andreas m Dec 9, 2025 Verified Thank you to DamnModz and there team for doing a fantastic job completing my order. An amazing trusted company that i wil come back for! Highly recomended! Company replied Sqxbz Oct 12, 2025 i never really review on websites. however, damnmodz is the place. at first i was suspicious. after i made a purchase and received my order i was shocked. its not like other websites (scams). damnmodz... See more Company replied BC Bob Connor Nov 12, 2025 Verified They go above and beyond to make the customer satisfied. My first order was running a little bit late and they made it up to me big time. Second order happened very fast. Almost immediately. Company replied AS Aspen Sep 29, 2025 Verified Clear communication and product received without issue. There wasca slight delay but they communicated everything promptly and I have zero complaints. I will use again. Company replied Kaeia Robertson Jan 3, 2026 Verified Very happy to receive my order and will definitely come back as main customer🤠👍 Company replied DB Deron B Dec 9, 2025 Verified Excellent service. Knock out challenges super quick. Fast response time. Great customer service. I’ll be back. Company replied JM Jayden Moses Nov 13, 2025 10/10! I paid for fast run on my OG account they got it done super quick with no problems or issues at all. 100% trusted! I’ll definitely be back for more services in the future. Thanks again, guys! Company replied CU customer Dec 28, 2025 Verified Service was kind and answered questions when needed all around good experience Company replied KC King Cali Nov 20, 2025 I order from these guys so often they know me by name lol. Always a great experience very cool and professional. Company replied CU customer Dec 8, 2025 Verified In 5 mins my order was completed fast and excellent service i would advice this site for everything you need. Company replied TE Teyy Dec 2, 2025 First time using DamnModz and i gotta say an amazing job was done i would for sure recommend this website. Company replied GO Ghost of Sparta Updated Dec 5, 2025 Went good and quick now I actually have white and blue joggers thanks just got ban one week later so not worth it Company replied Cayden Dampman Nov 30, 2025 bought from a total of 3 times and everytime has been up to satisfactory and never any problems i appreciate it alot thank you Company replied CO Consumer Dec 18, 2025 Verified Great experience even whenever i wasn’t available they waited for me to be available to do my service Company replied CU customer Dec 29, 2025 Verified Was skeptical at first, but the customer service is friendly and they delivered on their service Company replied MQ MGNG Quan Dec 24, 2025 Verified Fast delivery , the guy was very nice and he communicated very well and I will buy again Company replied CU customer Dec 27, 2025 Verified legit, great site. It takes like 3 hours for them to respond but when they do they instantly help you. Company replied JC JustAnswer Customer Dec 21, 2025 Verified Legit service, purchased fast fun and it works. Would recommend. Company replied BA Bader Dec 28, 2025 Verified Super fast only took a day like how they said provided me with a good seller Company replied Evan Biedermann May 23, 2025 MY PERSONAL ACCOUNT TOO. Let me tell you first hand it is not, i am not a bot and am really pleased with my services, i bought a service for gta 5 online and man let me tell you when i woke and and s... See more Braden Matthews Jun 26, 2025 They guys always go above and beyond for their customers. I’ve used them for call of duty and gta v now and it’s been nothing but flawless communication and execution. You can trust these guys 100%. S... See more SL Sleepyyy May 7, 2025 Damnmodz coming thru for me again, grinded me abyss camo in less than 2 weeks time. im telling yall theyre the real deal over here, super helpful from the owner to all the team members/suppliers. if u... See more See all 3,639 reviews We perform checks on reviews Company details Active Trustpilot subscription # 8 of 107 best companies in Gaming service Provider # 3 of 53 best companies in Game Store # 5 of 106 best companies in Hobby Store # 7 of 315 best companies in Software Company # 6 of 63 best companies in Video Game Store About DamnModz Written by the company Welcome to DamnModz! Discover the fastest and most reliable modded accounts, unlocks, and gaming services for various titles including Call of Duty, GTA, Fortnite, Elden Ring, Forza Horizon, Clash of Clans, 8 Ball Pool, and more across all platforms. What sets us apart is our commitment to quality and customer satisfaction, as evidenced by our exceptional Trustpilot rating of 5.0. This rating is a testament to our dedication, built on the trust of thousands of gamers who have chosen us to enhance their gaming experience. Our Services Modded Accounts: Gain access to rare items, in-game currency, and unlocks across all platforms for your favorite games such as Call of Duty, GTA, Fortnite, Elden Ring, Forza Horizon, Clash of Clans, 8 Ball Pool, and more! Account Boost : Every account boost we perform prioritizes your account's safety. Using the safest and most reliable methods ensures your peace of mind throughout the process. 24/7 Support: Our team is here for you all day, every day. We're ready to help whenever you need us, making sure you get quick and easy support. Contact info United States damnmodz.com 4.9 Excellent 4K reviews 5-star 4-star 3-star 2-star 1-star How is the TrustScore calculated? Replied to 71% of negative reviews Typically replies within 2 weeks How this company uses Trustpilot 4.9 All reviews 3,639 total ● Write a review 5-star 96% 4-star 3% 3-star < 1% 2-star < 1% 1-star 1% How Trustpilot labels reviews More filters Most recent CU customer CZ • 1 review Dec 27, 2025 Verified legit legit, great site. It takes like 3 hours for them to respond but when they do they instantly help you. December 26, 2025 Reply from DamnModz Dec 29, 2025 Hey, Appreciate the shoutout on our quick help once we get back to you. We aim to keep response times tight and support solid, so it’s good to hear it’s working for you. If you ever need anything else, just reach out. — Team DamnModz MA Mark Austin US • 28 reviews Dec 27, 2025 Excellent service from DamModz Excellent service from DamModz. Professional, high-quality work that impressed me. Highly recommend for their expertise and reliability. November 4, 2025 Unprompted review Reply from DamnModz Dec 29, 2025 Hey Mark, Glad to hear our work impressed you and that you found the service professional and reliable. We’re all about keeping that high-quality standard for gamers like you. If you ever need anything else or have questions, just hit us up. — Team DamnModz MA Mannikun US • 2 reviews Dec 27, 2025 Verified Ballin Happily Now Always a bit nervous giving my account over to anyone but these guys are legit and super kind when they have helped me out, fast delivery, overall great December 26, 2025 Reply from DamnModz Dec 29, 2025 Hey Mannikun, We get the nerves around sharing account info, so it’s good to hear you felt safe and got fast help from the team. We’re all about making the process smooth and reliable for gamers like you. If you ever need anything else or have questions, just reach out. — Team DamnModz See 1 more review by Mannikun CU customer GB • 1 review Dec 26, 2025 Verified Thank you for this December 24, 2025 Reply from DamnModz Dec 26, 2025 Hey, Glad to hear you’re happy with the service! If you ever need anything else or have questions, just let us know. We’re here to keep your gaming experience top-notch. — Team DamnModz ismaeel GB • 1 review Dec 25, 2025 Verified Ligit and truthworthy December 25, 2025 Reply from DamnModz Dec 26, 2025 Hey ismaeel, Glad to hear you found our service legit and trustworthy. We take pride in keeping things reliable and straightforward for gamers like you. If you ever need anything else or have questions, just let us know. — Team DamnModz CL ClearHike-CsgZ CA • 2 reviews Dec 25, 2025 legit experience very quick and legit services got fast run added to my migrateable account definitely recommend December 19, 2025 Unprompted review Reply from DamnModz Dec 26, 2025 Hey, Glad to hear the fast run boost went smoothly on your account. We’re all about quick, legit service that gets you back in the game faster. Appreciate the recommendation! — Team DamnModz MQ MGNG Quan US • 4 reviews Dec 24, 2025 Verified Fast delivery Fast delivery , the guy was very nice and he communicated very well and I will buy again December 24, 2025 Reply from DamnModz Dec 26, 2025 Hey Quan, Glad to hear the fast delivery and smooth communication hit the mark for you. We keep things quick and clear because we know that’s what gamers want. Looking forward to hooking you up again soon. — Team DamnModz Tony Curtis GB • 2 reviews Dec 24, 2025 Really good Really good December 24, 2025 Unprompted review Reply from DamnModz Dec 26, 2025 Hey Tony, Glad to hear you had a really good experience with us. If you ever want to level up or try something new, we’ve got your back. Keep enjoying the game! — Team DamnModz AS Amber Schwerdt AU • 5 reviews Dec 22, 2025 Verified Excellent and prompt service Excellent and prompt service December 20, 2025 Reply from DamnModz Dec 26, 2025 Hey Amber, Glad to hear you found our service both excellent and prompt. We aim to keep things fast without cutting corners, so it’s great to see that hit the mark for you. If you ever need anything else or have questions, just let us know. — Team DamnModz See 3 more reviews by Amber JC JustAnswer Customer US • 2 reviews Dec 21, 2025 Verified Legit service Legit service, purchased fast fun and it works. Would recommend. December 21, 2025 Reply from DamnModz Dec 21, 2025 Hey, Glad to hear you enjoyed our service! We keep things reliable and smooth so you can focus on gaming. If you ever need anything else, you know where to find us. — Team DamnModz US UsingDinosaur AL • 1 review Dec 21, 2025 Verified Multi-player and warzone mastery camos It was great pretty quick without many hiccups. December 21, 2025 Reply from DamnModz Dec 21, 2025 Hey, Glad to hear the quick turnaround worked well for you with minimal issues. We aim to keep things smooth and efficient every time. If you ever need anything else or have questions, just hit us up. — Team DamnModz CU customer US • 1 review Dec 21, 2025 Verified Great experience Great experience! Highly recommend will use them again! December 20, 2025 Reply from DamnModz Dec 21, 2025 Hey, Glad to hear you had a great experience with us! We’re all about keeping things smooth and reliable for gamers like you. Looking forward to helping you out again soon. — Team DamnModz SJ Steven James US • 2 reviews Dec 20, 2025 Redirected Wei is amazing at his job I got a GTA 5… Wei is amazing at his job I got a GTA 5 Cash Service for my account and I’m being so honest I was nervous but these guys here at damnmodz are the best suppliers I’ve ever came across they make you feel safe,very trustworthy, and communicate very well to keep you in the loop there’s no bs to it you pay they do the work everyone is happy 5 STAR + TELL A FRIEND TO TELL A FRIEND DAMNMODZ IS 10\10 BEST OF THE BEST W NO BS!!! December 19, 2025 Unprompted review Reply from DamnModz Dec 21, 2025 Hey Steven, Glad to hear Wei and the team delivered your GTA 5 Cash Service smoothly and kept you in the loop. We know trust is key, so we always aim to keep things straightforward and reliable. Appreciate you spreading the word! — Team DamnModz See 1 more review by Steven MJ MJ GB • 2 reviews Dec 19, 2025 Fast Run and Trophies for PSN Account Remarkably pleased with the service provided by DamnModz. I purchased Fast Run and Trophies for my 3L PSN and the entire process was smooth and professional. Sharing my credentials felt safe with them - they were trustworthy, respectful and secure the whole time. The service was fast, communication was clear and everything was delivered exactly as promised. Highly recommend to anyone looking for reliable and efficient premium mod services. December 19, 2025 Unprompted review Reply from DamnModz Dec 21, 2025 Hey, Glad to hear the Fast Run and Trophies services hit the mark for your PSN account. We take trust and security seriously, so it’s great to know you felt safe throughout. Clear communication and fast delivery are what we aim for every time. Appreciate the recommendation! — Team DamnModz SP Sphynx US • 1 review Dec 18, 2025 Highly Recommend Definitely would recommend, couple hiccups in the beginning but it all worked out. Great service and friendly staff. If you need something these are the guys to go to 100% 💯💯👍👍 December 18, 2025 Unprompted review Reply from DamnModz Dec 18, 2025 Hey, I’m glad to hear everything worked out and that our team was able to help you despite the initial hiccups. We always aim to keep things smooth and friendly for gamers like you. If you ever need anything else, you know where to find us. — Team DamnModz AM Andreas m NO • 5 reviews Dec 18, 2025 Verified Very happy with my order and… Very happy with my order and customersupport! December 16, 2025 Reply from DamnModz Dec 18, 2025 Hey Andreas, Glad to hear you’re happy with both your order and our customer support! We’re all about getting things done right and fast for gamers like you. If you ever need anything else or have questions, just hit us up. — Team DamnModz See 4 more reviews by Andreas CO Consumer US • 1 review Dec 18, 2025 Verified Great experience even whenever i wasn’t… Great experience even whenever i wasn’t available they waited for me to be available to do my service December 16, 2025 Reply from DamnModz Dec 18, 2025 Hey, Glad to hear our team could work with your schedule and deliver a smooth experience. We know timing can be key, so we always aim to be flexible for our gamers. Enjoy your service, and if you ever need anything else, we’ve got you covered. — Team DamnModz DC Dillon Cole US • 3 reviews Dec 18, 2025 Verified So the experience this time was a little longer than usual So the experience this time the wait time was longer than expected but they was able to communicate with me the whole time lmk what was going on and even gave me a little extra for the wait thanks i really appreciate you and always do business when needed and always coming through December 17, 2025 Reply from DamnModz Dec 18, 2025 Hey Dillon, Appreciate you sticking with us through the wait and glad our updates helped keep you in the loop. That little extra is our way of saying thanks for your patience and loyalty. We’ll keep pushing to get things done faster next time. Looking forward to helping you again whenever you need. — Team DamnModz See 2 more reviews by Dillon Farhan Khattak US • 1 review Dec 17, 2025 huge w been doing these for 5 or 6 time… huge w been doing these for 5 or 6 time now 100% no ban peak thx December 17, 2025 Unprompted review Reply from DamnModz Dec 18, 2025 Hey Farhan, Appreciate you coming back for the 5th or 6th time—that’s real loyalty. Glad to hear you’re still running clean with zero bans. We keep pushing to keep it that way for you. If you ever need anything or want to chat about your next order, just hit us up. — Team DamnModz CU customer US • 1 review Dec 15, 2025 Verified Highest quality service with great… Highest quality service with great speed and accuracy👌🏻 December 14, 2025 Reply from DamnModz Dec 16, 2025 Hey, Appreciate you highlighting the speed and accuracy—that’s exactly what we aim for. We’re glad you’re happy with the quality of our service. Keep enjoying your game, and if you ever need anything else, we’ve got you covered. — Team DamnModz Previous 1 2 3 4 Next page The Trustpilot Experience We're open to all Anyone can write a Trustpilot review. People who write reviews have ownership to edit or delete them at any time, and they’ll be displayed as long as an account is active . We champion verified reviews Companies can ask for reviews via automatic invitations. Labeled Verified, they’re about genuine experiences. Learn more about other kinds of reviews. We fight fake reviews We use dedicated people and clever technology to safeguard our platform. Find out how we combat fake reviews . We show the latest reviews Learn about Trustpilot’s review process . We encourage constructive feedback Here are 8 tips for writing great reviews . We verify reviewers Verification can help ensure real people are writing the reviews you read on Trustpilot. 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https://www.cursor.com/blog/problems-2023#main | Skip to content Cursor Features Enterprise Pricing Resources ↓ Changelog Blog Docs ↗ Community Learn ↗ Workshops Forum ↗ Careers Features Enterprise Pricing Resources → Sign in Download Blog / research Our problems Oct 12, 2023 by Sualeh Asif in research Update: We wrote about some more problems . An unordered list of short, concrete problems: Better context: There are a lot of sources of information in a code editor: open files, semantically similar code chunks, symbolically connected classes, lint outputs, execution traces, git history, typing history, external documentation, and more. We want the model to instantly understand what is most relevant to the user’s question, and are currently training a custom and fast reranker model to solve this problem. For each request, we will gather 500k tokens from all different sources, and use our reranker to filter them down to the most relevant 8k tokens. This is both a model problem and, increasingly so, an infrastructure problem. A “copilot for edits”: While GitHub Copilot is tremendously helpful for eliminating low-entropy keystrokes while writing new code, it does not help you save low-entropy keystrokes when you need to make small, simple changes to existing code blocks. Think the navigation, deletion and input keystrokes you need to do for a rename that’s just slightly more complicated than a symbolic F2-rename can do. We will need innovation in both UX (unobtrusive diffs that are shown to you while you’re coding) and on the model-side (prompting doesn’t cut it, because of cost, latency, and intelligence problems). Constrained, in-flow agents: Think OpenAI’s code interpreter, but for engineering in large codebases. You are telling a constrained, few-step agent what to do, and it searches, writes and runs code for you, all the while every so often consulting you for feedback. The first step to achieve this, which we are working on right now, is to make an agent like this that works on folders of a few hundred thousand tokens. If that is successful, we will scale it up to work for entire codebases. Bug-finding: There are two modes here: (1) in the background, Cursor will always be passively scanning your files to find potential bugs for you, and (2) when you are deep in a debugging session, Cursor will actively look for the bug with your help. There’s a lot of interesting data collection to be done here. Larger edits: Cursor should be able to modify entire files, and even entire directories, for you. This is a challenge of both capabilities and UX. For speed, the model needs to be smart enough to pick out the parts to modify without rewriting everything. For making the experience good, the changes need to be shown in a parsable, real-time form. Scale: We have 1.4 billion vectors and 150 thousand codebases indexed, as of October 12, 2023. This will probably grow by 10x by the end of the year. We have already built a really fast Merkle-tree-based codebase syncing engine in Rust, and will probably need to build a custom indexing system soon. Future ideas : Time warp : Predict and display the cross-file code changes you’ll make in the next 15 minutes. One key command to accept all insertions/deletions. Understanding : Our models should deeply understand all the concepts in any codebase, in the weights. Reader mode : Make code understanding effortless with docs at any level of specificity and a bot that guides you through the relevant code paths, explaining as-needed. Pseudo-code mode : Edit an “outline” representation of your code and have the changes automatically applied at the source level. Never worry about stack traces again : The IDE should just get it, and auto-fix the code for you. We tried to collect all problems we are thinking about right now, but — and this is one of the wonderful things about building a product that you use yourself for 12 hours per day — we constantly have new ideas and reprioritize, so this should not be seen as a be-all-end-all roadmap. That said, we hope it gives a sense of what we spend our brain cycles on every day. Also, you read pretty far, so it seems likely that you may have some interest in the problems we are interested in :). If that is so, you should consider joining us! Here are a few other reasons why we think you would love to work with us: People like using Cursor. We’ve been quite happy with our initial growth. You will work with really smart people here. We deeply believe in talent density. Everyone you work with here will be really really good. AI coding is a huge market. And we can win it. It’s fun. This matters a lot to us! It’s fun to work with people you like, it’s fun to build a product where you hit Cmd-Shift-R and get instant user feedback because you yourself, while coding, is the target user, and it’s fun to make a little bit of progress every day towards automating away all boring parts of programming. We work hard. We feel lucky to work on these problems, and we enjoy pouring our all into solving them. Filed under: research Author : Sualeh Asif ← Previous post Inference characteristics of Llama Next post → Editing Files at 1000 Tokens per Second Product Features Enterprise Web Agents Bugbot CLI Pricing Resources Download Changelog Docs ↗ Learn ↗ Forum ↗ Status ↗ Company Careers Blog Community Workshops Students Brand Legal Terms of Service Privacy Policy Data Use Security Connect X ↗ LinkedIn ↗ YouTube ↗ © 2026 Cursor 🛡 SOC 2 Certified 🌐 English ↓ English ✓ 简体中文 日本語 繁體中文 Skip to content Cursor Features Enterprise Pricing Resources ↓ Changelog Blog Docs ↗ Community Learn ↗ Workshops Forum ↗ Careers Features Enterprise Pricing Resources → Sign in Download Blog / research Our problems Oct 12, 2023 by Sualeh Asif in research Update: We wrote about some more problems . An unordered list of short, concrete problems: Better context: There are a lot of sources of information in a code editor: open files, semantically similar code chunks, symbolically connected classes, lint outputs, execution traces, git history, typing history, external documentation, and more. We want the model to instantly understand what is most relevant to the user’s question, and are currently training a custom and fast reranker model to solve this problem. For each request, we will gather 500k tokens from all different sources, and use our reranker to filter them down to the most relevant 8k tokens. This is both a model problem and, increasingly so, an infrastructure problem. A “copilot for edits”: While GitHub Copilot is tremendously helpful for eliminating low-entropy keystrokes while writing new code, it does not help you save low-entropy keystrokes when you need to make small, simple changes to existing code blocks. Think the navigation, deletion and input keystrokes you need to do for a rename that’s just slightly more complicated than a symbolic F2-rename can do. We will need innovation in both UX (unobtrusive diffs that are shown to you while you’re coding) and on the model-side (prompting doesn’t cut it, because of cost, latency, and intelligence problems). Constrained, in-flow agents: Think OpenAI’s code interpreter, but for engineering in large codebases. You are telling a constrained, few-step agent what to do, and it searches, writes and runs code for you, all the while every so often consulting you for feedback. The first step to achieve this, which we are working on right now, is to make an agent like this that works on folders of a few hundred thousand tokens. If that is successful, we will scale it up to work for entire codebases. Bug-finding: There are two modes here: (1) in the background, Cursor will always be passively scanning your files to find potential bugs for you, and (2) when you are deep in a debugging session, Cursor will actively look for the bug with your help. There’s a lot of interesting data collection to be done here. Larger edits: Cursor should be able to modify entire files, and even entire directories, for you. This is a challenge of both capabilities and UX. For speed, the model needs to be smart enough to pick out the parts to modify without rewriting everything. For making the experience good, the changes need to be shown in a parsable, real-time form. Scale: We have 1.4 billion vectors and 150 thousand codebases indexed, as of October 12, 2023. This will probably grow by 10x by the end of the year. We have already built a really fast Merkle-tree-based codebase syncing engine in Rust, and will probably need to build a custom indexing system soon. Future ideas : Time warp : Predict and display the cross-file code changes you’ll make in the next 15 minutes. One key command to accept all insertions/deletions. Understanding : Our models should deeply understand all the concepts in any codebase, in the weights. Reader mode : Make code understanding effortless with docs at any level of specificity and a bot that guides you through the relevant code paths, explaining as-needed. Pseudo-code mode : Edit an “outline” representation of your code and have the changes automatically applied at the source level. Never worry about stack traces again : The IDE should just get it, and auto-fix the code for you. We tried to collect all problems we are thinking about right now, but — and this is one of the wonderful things about building a product that you use yourself for 12 hours per day — we constantly have new ideas and reprioritize, so this should not be seen as a be-all-end-all roadmap. That said, we hope it gives a sense of what we spend our brain cycles on every day. Also, you read pretty far, so it seems likely that you may have some interest in the problems we are interested in :). If that is so, you should consider joining us! Here are a few other reasons why we think you would love to work with us: People like using Cursor. We’ve been quite happy with our initial growth. You will work with really smart people here. We deeply believe in talent density. Everyone you work with here will be really really good. AI coding is a huge market. And we can win it. It’s fun. This matters a lot to us! It’s fun to work with people you like, it’s fun to build a product where you hit Cmd-Shift-R and get instant user feedback because you yourself, while coding, is the target user, and it’s fun to make a little bit of progress every day towards automating away all boring parts of programming. We work hard. We feel lucky to work on these problems, and we enjoy pouring our all into solving them. Filed under: research Author : Sualeh Asif ← Previous post Inference characteristics of Llama Next post → Editing Files at 1000 Tokens per Second Product Features Enterprise Web Agents Bugbot CLI Pricing Resources Download Changelog Docs ↗ Learn ↗ Forum ↗ Status ↗ Company Careers Blog Community Workshops Students Brand Legal Terms of Service Privacy Policy Data Use Security Connect X ↗ LinkedIn ↗ YouTube ↗ © 2026 Cursor 🛡 SOC 2 Certified 🌐 English ↓ English ✓ 简体中文 日本語 繁體中文 Our problems · Cursor | 2026-01-13T09:29:52 |
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https://ai.google.dev/api/palm?hl=es-419 | PaLM (decommissioned) | Gemini API | Google AI for Developers Ir al contenido principal / 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 Cómo obtener una clave de API Guía de soluciones Comunidad Acceder Documentos Referencia de la API Gemini API Documentos Referencia de la API Cómo obtener una clave de API Guía de soluciones Comunidad Descripción general Versiones de API Funciones Modelos Generar contenido API en vivo API de Live Music API de Interactions Tokens Archivos API de Batch Almacenamiento en caché Embeddings Búsqueda de archivos Almacenes de búsqueda de archivos Documento Todos los métodos Baja PaLM (desmantelado) Referencias del SDK Python Go TypeScript Java C# Página principal Gemini API Referencia de la API Enviar comentarios PaLM (decommissioned) Método: models.generateText Extremo Parámetros de ruta de acceso Cuerpo de la solicitud Representación JSON Cuerpo de la respuesta Permisos de autorización Genera una respuesta del modelo a partir de un mensaje de entrada. Extremo post https: / /generativelanguage.googleapis.com /v1beta /{model=models /*}:generateText Parámetros de ruta model string Obligatorio. Nombre del Model o TunedModel que se usará para generar la finalización. Ejemplos: models/text-bison-001 tunedModels/sentence-translator-u3b7m Toma la forma models/{model} . Cuerpo de la solicitud El cuerpo de la solicitud contiene datos con la siguiente estructura: Campos prompt object ( TextPrompt ) Obligatorio. Es el texto de entrada de formato libre que se le proporciona al modelo como instrucción. Dado un mensaje, el modelo generará una respuesta de TextCompletion que predice como la finalización del texto de entrada. safetySettings[] object ( SafetySetting ) Opcional. Es una lista de instancias SafetySetting únicas para bloquear contenido no seguro. que se aplicará en GenerateTextRequest.prompt y GenerateTextResponse.candidates . No debe haber más de un parámetro de configuración para cada tipo de SafetyCategory . La API bloqueará cualquier instrucción y respuesta que no cumpla con los umbrales establecidos por estos parámetros de configuración. Esta lista anula la configuración predeterminada de cada SafetyCategory especificado en safetySettings. Si no hay un SafetySetting para un SafetyCategory determinado proporcionado en la lista, la API usará el parámetro de configuración de seguridad predeterminado para esa categoría. Las categorías de daño HARM_CATEGORY_DEROGATORY, HARM_CATEGORY_TOXICITY, HARM_CATEGORY_VIOLENCE, HARM_CATEGORY_SEXUAL, HARM_CATEGORY_MEDICAL y HARM_CATEGORY_DANGEROUS se admiten en el servicio de texto. stopSequences[] string Es el conjunto de secuencias de caracteres (hasta 5) que detendrán la generación de resultados. Si se especifica, la API se detendrá en la primera aparición de una secuencia de detención. La secuencia de detención no se incluirá como parte de la respuesta. temperature number Opcional. Controla la aleatoriedad del resultado. Nota: El valor predeterminado varía según el modelo. Consulta el atributo Model.temperature del Model que devolvió la función getModel . Los valores pueden variar de [0.0,1.0], inclusive. Un valor más cercano a 1.0 producirá respuestas más variadas y creativas, mientras que un valor más cercano a 0.0 generalmente generará respuestas más directas del modelo. candidateCount integer Opcional. Cantidad de respuestas generadas que se devolverán. Este valor debe estar entre [1, 8], inclusive. Si no se configura, el valor predeterminado será 1. maxOutputTokens integer Opcional. Es la cantidad máxima de tokens que se pueden incluir en un candidato. Si no se configura, se establecerá de forma predeterminada en el valor de outputTokenLimit especificado en la especificación de Model . topP number Opcional. Es la probabilidad acumulativa máxima de los tokens que se deben tener en cuenta durante el muestreo. El modelo usa una combinación de muestreo de Top-K y de núcleos. Los tokens se ordenan según las probabilidades asignadas para que solo se tengan en cuenta los tokens más probables. El muestreo Top-k limita directamente la cantidad máxima de tokens que se deben considerar, mientras que el muestreo de Nucleus limita la cantidad de tokens según la probabilidad acumulativa. Nota: El valor predeterminado varía según el modelo. Consulta el atributo Model.top_p del Model que devolvió la función getModel . topK integer Opcional. Es la cantidad máxima de tokens que se deben tener en cuenta al realizar el muestreo. El modelo usa una combinación de muestreo de Top-K y de núcleos. El muestreo Top-k considera el conjunto de los topK tokens más probables. La configuración predeterminada es 40. Nota: El valor predeterminado varía según el modelo. Consulta el atributo Model.top_k del Model que devolvió la función getModel . Cuerpo de la respuesta Si se ejecuta de forma correcta, el cuerpo de la respuesta contiene una instancia de GenerateTextResponse . Método: models.countTextTokens Extremo Parámetros de ruta de acceso Cuerpo de la solicitud Representación JSON Cuerpo de la respuesta Representación JSON Permisos de autorización Ejecuta el tokenizador de un modelo en un texto y devuelve el recuento de tokens. Extremo post https: / /generativelanguage.googleapis.com /v1beta /{model=models /*}:countTextTokens Parámetros de ruta model string Obligatorio. Es el nombre del recurso del modelo. Este valor sirve como ID para que lo use el modelo. Este nombre debe coincidir con un nombre de modelo que muestre el método models.list . Formato: models/{model} . Toma la forma models/{model} . Cuerpo de la solicitud El cuerpo de la solicitud contiene datos con la siguiente estructura: Campos prompt object ( TextPrompt ) Obligatorio. Es el texto de entrada de formato libre que se le proporciona al modelo como instrucción. Cuerpo de la respuesta Es una respuesta de models.countTextTokens . Devuelve el tokenCount del modelo para el prompt . Si se ejecuta correctamente, el cuerpo de la respuesta contendrá datos con la siguiente estructura: Campos tokenCount integer Es la cantidad de tokens en los que el token model divide el token prompt . Siempre no negativo. Representación JSON { "tokenCount" : integer } Método: models.generateMessage Extremo Parámetros de ruta de acceso Cuerpo de la solicitud Representación JSON Cuerpo de la respuesta Representación JSON Permisos de autorización Genera una respuesta del modelo a partir de una entrada MessagePrompt . Extremo post https: / /generativelanguage.googleapis.com /v1beta /{model=models /*}:generateMessage Parámetros de ruta model string Obligatorio. Nombre del modelo que se usará. Formato: name=models/{model} . Toma la forma models/{model} . Cuerpo de la solicitud El cuerpo de la solicitud contiene datos con la siguiente estructura: Campos prompt object ( MessagePrompt ) Obligatorio. Es la entrada textual estructurada que se le proporciona al modelo como instrucción. Dado un mensaje, el modelo devolverá lo que predice que será el siguiente mensaje en la conversación. temperature number Opcional. Controla la aleatoriedad del resultado. Los valores pueden oscilar entre [0.0,1.0] , inclusive. Un valor más cercano a 1.0 producirá respuestas más variadas, mientras que un valor más cercano a 0.0 generalmente generará respuestas menos sorprendentes del modelo. candidateCount integer Opcional. Es la cantidad de mensajes de respuesta generados que se devolverán. Este valor debe ser mayor o igual que [1, 8] . Si no se configura, el valor predeterminado será 1 . topP number Opcional. Es la probabilidad acumulativa máxima de los tokens que se deben tener en cuenta durante el muestreo. El modelo usa una combinación de muestreo de Top-K y de núcleos. El muestreo de núcleo considera el conjunto más pequeño de tokens cuya suma de probabilidades es al menos topP . topK integer Opcional. Es la cantidad máxima de tokens que se deben tener en cuenta al realizar el muestreo. El modelo usa una combinación de muestreo de Top-K y de núcleos. El muestreo Top-k considera el conjunto de los topK tokens más probables. Cuerpo de la respuesta Es la respuesta del modelo. Esto incluye los mensajes de los candidatos y el historial de conversaciones en forma de mensajes ordenados cronológicamente. Si se ejecuta correctamente, el cuerpo de la respuesta contendrá datos con la siguiente estructura: Campos candidates[] object ( Message ) Son los mensajes de respuesta candidatos del modelo. messages[] object ( Message ) Es el historial de conversación que usa el modelo. filters[] object ( ContentFilter ) Es un conjunto de metadatos de filtrado de contenido para el texto de la instrucción y la respuesta. Indica qué SafetyCategory bloquearon a un candidato de esta respuesta, el HarmProbability más bajo que activó un bloqueo y el parámetro de configuración HarmThreshold para esa categoría. Representación JSON { "candidates" : [ { object ( Message ) } ] , "messages" : [ { object ( Message ) } ] , "filters" : [ { object ( ContentFilter ) } ] } Método: models.countMessageTokens Extremo Parámetros de ruta de acceso Cuerpo de la solicitud Representación JSON Cuerpo de la respuesta Representación JSON Permisos de autorización Ejecuta el tokenizador de un modelo en una cadena y devuelve el recuento de tokens. Extremo post https: / /generativelanguage.googleapis.com /v1beta /{model=models /*}:countMessageTokens Parámetros de ruta model string Obligatorio. Es el nombre del recurso del modelo. Este valor sirve como ID para que lo use el modelo. Este nombre debe coincidir con un nombre de modelo que muestre el método models.list . Formato: models/{model} . Toma la forma models/{model} . Cuerpo de la solicitud El cuerpo de la solicitud contiene datos con la siguiente estructura: Campos prompt object ( MessagePrompt ) Obligatorio. Es la instrucción cuya cantidad de tokens se devolverá. Cuerpo de la respuesta Es una respuesta de models.countMessageTokens . Devuelve el tokenCount del modelo para el prompt . Si se ejecuta correctamente, el cuerpo de la respuesta contendrá datos con la siguiente estructura: Campos tokenCount integer Es la cantidad de tokens en los que el token model divide el token prompt . Siempre no negativo. Representación JSON { "tokenCount" : integer } Método: models.embedText Extremo Parámetros de ruta de acceso Cuerpo de la solicitud Representación JSON Cuerpo de la respuesta Representación JSON Permisos de autorización Genera un embedding a partir del modelo con un mensaje de entrada. Extremo post https: / /generativelanguage.googleapis.com /v1beta /{model=models /*}:embedText Parámetros de ruta model string Obligatorio. Nombre del modelo que se usará con el formato model=models/{model}. Toma la forma models/{model} . Cuerpo de la solicitud El cuerpo de la solicitud contiene datos con la siguiente estructura: Campos text string Opcional. Es el texto de entrada de formato libre que el modelo convertirá en una incorporación. Cuerpo de la respuesta Es la respuesta a una EmbedTextRequest. Si se ejecuta correctamente, el cuerpo de la respuesta contendrá datos con la siguiente estructura: Campos embedding object ( Embedding ) Solo salida. Es la incorporación generada a partir del texto de entrada. Representación JSON { "embedding" : { object ( Embedding ) } } Método: models.batchEmbedText Extremo Parámetros de ruta de acceso Cuerpo de la solicitud Representación JSON Cuerpo de la respuesta Representación JSON Permisos de autorización EmbedTextRequest Representación JSON Genera múltiples embeddings a partir del modelo, dado el texto de entrada en una llamada síncrona. Extremo post https: / /generativelanguage.googleapis.com /v1beta /{model=models /*}:batchEmbedText Parámetros de ruta model string Obligatorio. Es el nombre del Model que se usará para generar el embedding. Ejemplos: models/embedding-gecko-001. Tiene el formato models/{model} . Cuerpo de la solicitud El cuerpo de la solicitud contiene datos con la siguiente estructura: Campos texts[] string Opcional. Son los textos de entrada de formato libre que el modelo convertirá en una incorporación. El límite actual es de 100 textos, y se arrojará un error si se supera. requests[] object ( EmbedTextRequest ) Opcional. Son las solicitudes de incorporación para el lote. Solo se puede establecer uno de los valores texts o requests . Cuerpo de la respuesta Es la respuesta a una EmbedTextRequest. Si se ejecuta correctamente, el cuerpo de la respuesta contendrá datos con la siguiente estructura: Campos embeddings[] object ( Embedding ) Solo salida. Son las incorporaciones generadas a partir del texto de entrada. Representación JSON { "embeddings" : [ { object ( Embedding ) } ] } EmbedTextRequest Es una solicitud para obtener una incorporación de texto del modelo. Campos model string Obligatorio. Nombre del modelo que se usará con el formato model=models/{model}. text string Opcional. Es el texto de entrada de formato libre que el modelo convertirá en una incorporación. Representación JSON { "model" : string , "text" : string } ContentFilter Representación JSON BlockedReason Son los metadatos de filtrado de contenido asociados con el procesamiento de una sola solicitud. ContentFilter contiene un motivo y una cadena de asistencia opcional. Es posible que el motivo no se especifique. Campos reason enum ( BlockedReason ) Es el motivo por el que se bloqueó el contenido durante el procesamiento de la solicitud. message string Es una cadena que describe el comportamiento del filtro con más detalle. Representación JSON { "reason" : enum ( BlockedReason ) , "message" : string } BlockedReason Es una lista de los motivos por los que se puede haber bloqueado el contenido. Enumeraciones BLOCKED_REASON_UNSPECIFIED No se especificó un motivo de bloqueo. SAFETY La configuración de seguridad bloqueó el contenido. OTHER Se bloqueó el contenido, pero el motivo no está categorizado. Embedding Representación JSON Es una lista de números de punto flotante que representa la incorporación. Campos value[] number Son los valores de la incorporación. Representación JSON { "value" : [ number ] } Mensaje Representación JSON Es la unidad base del texto estructurado. Un Message incluye un author y el content del Message . El author se usa para etiquetar mensajes cuando se ingresan en el modelo como texto. Campos author string Opcional. Es el autor de este mensaje. Sirve como clave para etiquetar el contenido de este mensaje cuando se ingresa en el modelo como texto. El autor puede ser cualquier cadena alfanumérica. content string Obligatorio. Es el contenido de texto del Message estructurado. citationMetadata object ( CitationMetadata ) Solo salida. Es la información de la cita para el content generado por el modelo en este Message . Si este Message se generó como resultado del modelo, es posible que este campo se complete con información de atribución para cualquier texto incluido en el content . Este campo solo se usa en la salida. Representación JSON { "author" : string , "content" : string , "citationMetadata" : { object ( CitationMetadata ) } } MessagePrompt Representación JSON Ejemplo Representación JSON Es todo el texto de entrada estructurado que se pasa al modelo como instrucción. Un MessagePrompt contiene un conjunto estructurado de campos que proporcionan contexto para la conversación, ejemplos de pares de mensajes de entrada del usuario y salida del modelo que preparan al modelo para responder de diferentes maneras, y el historial de conversaciones o la lista de mensajes que representan los turnos alternados de la conversación entre el usuario y el modelo. Campos context string Opcional. Texto que se debe proporcionar primero al modelo para fundamentar la respuesta. Si no está vacío, este context se proporcionará al modelo antes que el examples y el messages . Cuando uses un context , asegúrate de proporcionarlo con cada solicitud para mantener la continuidad. Este campo puede ser una descripción de tu instrucción al modelo para ayudar a proporcionar contexto y guiar las respuestas. Ejemplos: "Traduce la frase del inglés al francés" o "Dada una declaración, clasifica el sentimiento como feliz, triste o neutral". Todo lo que se incluya en este campo tendrá prioridad sobre el historial de mensajes si el tamaño total de la entrada supera el inputTokenLimit del modelo y se trunca la solicitud de entrada. examples[] object ( Example ) Opcional. Ejemplos de lo que debería generar el modelo. Esto incluye tanto la entrada del usuario como la respuesta que debería emular el modelo. Estos examples se tratan de forma idéntica a los mensajes de conversación, excepto que tienen prioridad sobre el historial en messages : Si el tamaño total de la entrada supera el inputTokenLimit del modelo, la entrada se truncará. Los elementos se quitarán de messages antes de examples . messages[] object ( Message ) Obligatorio. Es una instantánea del historial de conversaciones recientes ordenado cronológicamente. Los turnos se alternan entre dos autores. Si el tamaño total de la entrada supera el inputTokenLimit del modelo, la entrada se truncará: los elementos más antiguos se quitarán de messages . Representación JSON { "context" : string , "examples" : [ { object ( Example ) } ] , "messages" : [ { object ( Message ) } ] } Ejemplo Es un ejemplo de entrada o salida que se usa para dar instrucciones al modelo. Demuestra cómo debe responder el modelo o cómo debe formatear su respuesta. Campos input object ( Message ) Obligatorio. Ejemplo de una entrada Message del usuario. output object ( Message ) Obligatorio. Es un ejemplo de lo que el modelo debería generar dada la entrada. Representación JSON { "input" : { object ( Message ) } , "output" : { object ( Message ) } } GenerateTextResponse Representación JSON TextCompletion Representación JSON SafetyFeedback Representación JSON Es la respuesta del modelo, incluidas las sugerencias de completado. Campos candidates[] object ( TextCompletion ) Son las respuestas candidatas del modelo. filters[] object ( ContentFilter ) Es un conjunto de metadatos de filtrado de contenido para el texto de la instrucción y la respuesta. Indica qué SafetyCategory bloquearon a un candidato de esta respuesta, el HarmProbability más bajo que activó un bloqueo y el parámetro de configuración HarmThreshold para esa categoría. Esto indica el cambio más pequeño en el SafetySettings que sería necesario para desbloquear al menos 1 respuesta. El bloqueo se configura con el parámetro SafetySettings en la solicitud (o el parámetro SafetySettings predeterminado de la API). safetyFeedback[] object ( SafetyFeedback ) Devuelve cualquier comentario de seguridad relacionado con el filtrado de contenido. Representación JSON { "candidates" : [ { object ( TextCompletion ) } ] , "filters" : [ { object ( ContentFilter ) } ] , "safetyFeedback" : [ { object ( SafetyFeedback ) } ] } TextCompletion Es el texto de salida que devuelve un modelo. Campos output string Solo salida. Es el texto generado que devuelve el modelo. safetyRatings[] object ( SafetyRating ) Son las calificaciones de seguridad de una respuesta. Hay, como máximo, una clasificación por categoría. citationMetadata object ( CitationMetadata ) Solo salida. Es la información de la cita para el output generado por el modelo en este TextCompletion . Este campo puede completarse con información de atribución para cualquier texto incluido en output . Representación JSON { "output" : string , "safetyRatings" : [ { object ( SafetyRating ) } ] , "citationMetadata" : { object ( CitationMetadata ) } } SafetyFeedback Es la opinión sobre la seguridad de una solicitud completa. Este campo se completa si el contenido de la entrada o la respuesta se bloquea debido a la configuración de seguridad. Es posible que SafetyFeedback no exista para cada HarmCategory. Cada SafetyFeedback devolverá la configuración de seguridad que usó la solicitud, así como la probabilidad de daño más baja que se debe permitir para devolver un resultado. Campos rating object ( SafetyRating ) Es la calificación de seguridad que se evalúa a partir del contenido. setting object ( SafetySetting ) Es la configuración de seguridad que se aplicó a la solicitud. Representación JSON { "rating" : { object ( SafetyRating ) } , "setting" : { object ( SafetySetting ) } } TextPrompt Representación JSON Es el texto que se le proporciona al modelo como instrucción. El Modelo usará este TextPrompt para generar una finalización de texto. Campos text string Obligatorio. Es el texto de la instrucción. Representación JSON { "text" : string } Enviar comentarios Salvo que se indique lo contrario, el contenido de esta página está sujeto a la licencia Atribución 4.0 de Creative Commons , y los ejemplos de código están sujetos a la licencia Apache 2.0 . Para obtener más información, consulta las políticas del sitio de Google Developers . Java es una marca registrada de Oracle o sus afiliados. Última actualización: 2025-07-24 (UTC) ¿Quieres brindar más información? [[["Fácil de comprender","easyToUnderstand","thumb-up"],["Resolvió mi problema","solvedMyProblem","thumb-up"],["Otro","otherUp","thumb-up"]],[["Falta la información que necesito","missingTheInformationINeed","thumb-down"],["Muy complicado o demasiados pasos","tooComplicatedTooManySteps","thumb-down"],["Desactualizado","outOfDate","thumb-down"],["Problema de traducción","translationIssue","thumb-down"],["Problema con las muestras o los códigos","samplesCodeIssue","thumb-down"],["Otro","otherDown","thumb-down"]],["Última actualización: 2025-07-24 (UTC)"],[],[]] Condiciones Privacidad Manage cookies 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 | 2026-01-13T09:29:52 |
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https://www.linkedin.com/posts/ashraf-saeed_healthcareit-interoperability-healthtech-activity-7409012362793586688-pz4F | Interoperability Drives Efficiency in Healthcare | Muhammad Ashraf posted on the topic | LinkedIn Agree & Join LinkedIn By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Skip to main content LinkedIn Top Content People Learning Jobs Games Sign in Join for free Interoperability Drives Efficiency in Healthcare This title was summarized by AI from the post below. Muhammad Ashraf 3w Report this post 💼 The Business Case for Interoperability: Faster Billing, Fewer Errors Interoperability is often discussed as a technical or compliance issue. But at its core, it’s a business advantage. When systems can’t talk to each other, the cost shows up everywhere — delayed billing, claim denials, manual work, and frustrated teams. Here’s why interoperability actually makes financial sense: 🔹 Faster billing cycles When clinical, billing, and payer systems are connected, data flows automatically — reducing delays between care delivery and reimbursement. 🔹 Fewer claim errors and denials Accurate, consistent data across systems means fewer mismatches and less rework. 🔹 Lower operational costs Less manual data entry, fewer phone calls, and reduced administrative overhead. 🔹 Better visibility and reporting Clean, connected data gives finance teams real-time insight into revenue, performance, and bottlenecks. 🔹 Happier staff and patients When information moves smoothly, teams spend less time fixing problems — and more time focused on care. Interoperability isn’t just about meeting standards or checking compliance boxes. It’s about running healthcare organizations more efficiently and sustainably. In the long run, connected systems don’t just improve care — they protect margins, reduce risk, and support growth. That’s the real business case. #HealthcareIT #Interoperability #HealthTech #RevenueCycleManagement #DigitalHealth #HealthcareInnovation #DataIntegration #SaaS 1 5 Comments Like Comment Share Copy LinkedIn Facebook X Abbas Rezaey 3w Report this comment Can you explin what you mean by payer system in clinical system. Payer is the patient or the health insurance? Like Reply 1 Reaction 2 Reactions To view or add a comment, sign in More Relevant Posts Steer Health 59,647 followers 3w Report this post Legacy EHRs were built for episodic care and billing compliance. Most modern practices don’t operate that way anymore. Functional and integrative teams manage care over 3–6+ months. That means ongoing labs, protocol changes, supplements, follow-ups, and cross-team coordination. Traditional EHRs still treat each visit as a standalone event. The data never connects—and neither do the workflows. The outcome is measurable: • Excess admin time from manual tracking and disconnected tools • Revenue leakage in cash-pay and membership models • Slower care delivery despite higher staff effort Practices that move to an operating-system approach—longitudinal care tracking, native lab and commerce integrations, automated billing, and AI-assisted documentation—see clear impact: • 36% increase in revenue • 86% reduction in administrative work • 96% user satisfaction This isn’t about adding another plugin to a legacy EHR. It’s about replacing infrastructure that was never designed for how care is delivered today. #EHR #DigitalHealth #FunctionalMedicine #IntegrativeMedicine #HealthTech #Automation #AIinHealthcare 14 Like Comment Share Copy LinkedIn Facebook X To view or add a comment, sign in CarePlan AI 73 followers 3w Report this post Discover how software innovations are reshaping healthcare management - from AI-driven customization to adaptable data models and templates. Ready to meet complex care demands with confidence and clarity? #DigitalHealth #OntarioHealth #AIinHealthcare #HealthTech #DigitalTransformation #HealthcareInnovation 5 Like Comment Share Copy LinkedIn Facebook X To view or add a comment, sign in AOneXUs 25 followers 3w Report this post 🧠 Healthcare Doesn’t Have a Complexity Problem. It Has a Manual Process Problem. Let’s get straight to the point—modern healthcare is powered by advanced diagnostics, AI-driven imaging, and cutting-edge treatments… Yet behind the scenes, many clinics still rely on manual billing, spreadsheets, and fragmented workflows to keep the lights on. The data makes the gap impossible to ignore 👇 📄 30–40% of staff time is consumed by administrative and billing work 💸 $125B+ lost annually in the U.S. due to billing and operational inefficiencies 🔁 40% of manual claims require rework because of avoidable errors ⚡ 35% faster reimbursements reported by practices using automated RCM 📉 Up to 25% reduction in claim denials with streamlined, digital workflows Translation? Healthcare isn’t inefficient because it’s complex. It’s inefficient because it’s manual. At AOneXUs , we’re fixing the invisible bottleneck that slows clinics down by delivering: ⚙️ Revenue Cycle Management that actually improves cash flow 👩💻 Virtual Back-Office Support that scales without increasing headcount 🤖 Automation-first billing & claims workflows built for what’s next Because when operations run smoothly, ✔️ teams burn out less ✔️ revenue flows faster ✔️ patients get better experiences Efficiency isn’t just a business metric in healthcare— it’s a care enabler. 💬 What’s the one back-office task in your clinic that feels like it belongs in another decade? 1 Like Comment Share Copy LinkedIn Facebook X To view or add a comment, sign in Marien Fernandez-Paris (Razo) 3w Report this post Just wrapped up a great webinar with HealthEdge on high-speed payment accuracy and policy configuration. What stood out most was the end-to-end lifecycle — from policy ideation and configuration to testing, implementation, and production — and how critical clarity and collaboration are at every step. In healthcare, accuracy isn’t just operational efficiency — it’s trust, compliance, and ultimately better outcomes for members and providers. Conversations like these reinforce how thoughtful design, data, and continuous learning come together to drive real impact. Grateful for the insights and always excited to keep learning. #HealthcareTechnology #LearningAndDevelopment #OperationalExcellence #HealthEdge #ContinuousImprovement 8 Like Comment Share Copy LinkedIn Facebook X To view or add a comment, sign in Umesh J 3w Report this post 💡 Smart Billing: The Backbone of a Strong RCM Strategy In today’s complex healthcare environment, smart billing is no longer optional—it’s essential. Effective smart billing combines: ✔ Accurate charge capture ✔ Real-time eligibility and coding checks ✔ Automation to reduce errors and denials ✔ Data-driven insights to improve cash flow When billing is done right, it not only accelerates reimbursements but also strengthens compliance, improves patient experience, and drives long-term financial stability. With evolving payer rules and rising operational costs, organizations that invest in intelligent billing processes gain a clear advantage—turning revenue cycle challenges into opportunities for growth. 🚀 Smart billing isn’t just about getting paid faster; it’s about getting paid right. #RCM #SmartBilling #HealthcareRevenueCycle #MedicalBilling #HealthcareFinance #RevenueIntegrity 11 Like Comment Share Copy LinkedIn Facebook X To view or add a comment, sign in Nimblechapps Pvt. Ltd. 13,270 followers 3w Report this post 🩺 8 Ways Case Management Software Cuts Healthcare Operational Costs 💰 From reducing admin load to improving collaboration, case management software is helping hospitals operate smarter while keeping costs under control. Here’s how it creates real impact: 🔹 Streamlines workflows & reduces paperwork 🔹 Minimizes duplication with unified patient records 🔹 Optimizes staff allocation & resource usage 🔹 Enhances collaboration across care teams 🔹 Cuts billing errors & accelerates reimbursements 🔹 Reduces readmissions with proactive follow-ups 🔹 Enables data-driven operational decisions 🔹 Lowers IT infrastructure & maintenance costs 💡 At Nimblechapps, we help healthcare providers build secure, scalable software tailored for efficiency and better patient care. #Nimblechapps #MobileAppDevelopment #WebsiteDevelopment #HealthcareTech #HealthIT #CaseManagement #HospitalSoftware #DigitalHealth #MedTech #Automation #AIinHealthcare #HealthcareOperations #SaaS #EnterpriseSoftware #TechInnovation 5 Like Comment Share Copy LinkedIn Facebook X To view or add a comment, sign in Outsource Strategies International 966 followers 2w Report this post Automation is redefining how healthcare organizations manage their revenue cycle—bringing speed, accuracy, and scalability to the forefront. By improving coding and billing accuracy, automation reduces manual errors that may lead to denials and delayed reimbursements. Faster claims processing helps accelerate cash flow, while proactive denial reduction strengthens overall financial performance. Beyond billing, automation enhances the patient’s financial experience through clearer, more timely interactions and fewer billing issues. It also delivers measurable operational cost savings by reducing repetitive administrative work. With rapid ROI and the ability to scale as volumes grow, automation is not just optional in healthcare RCM—it’s a strategic advantage for long-term efficiency and revenue stability. #HealthcareAutomation #RevenueCycleManagement #RCMAutomation #HealthcareInnovation #DigitalHealth Like Comment Share Copy LinkedIn Facebook X To view or add a comment, sign in Tej Vij 2d Report this post Most RCM software fails not because of bad technology… but because it’s built without understanding real operations. True revenue cycle success comes when technology aligns with: • Workflow ownership • Human behavior • Financial accountability The next wave of healthcare tech will not be about more features — it will be about fewer failures in execution. #HealthTech #RCMSoftware #HealthcareInnovation #DigitalHealth #HealthcareIT #USHealthcare #HealthcareLeadership #RevenueCycle 3 Like Comment Share Copy LinkedIn Facebook X To view or add a comment, sign in DataRovers 2,883 followers 3w Report this post Let’s be honest, traditional RCM workflows weren’t built for the speed or complexity of today’s healthcare environment. Manual processes, siloed tools, and delayed insights slow teams down and create gaps where revenue slips through unnoticed. And when payers change policies overnight, it’s the operations teams left scrambling to respond. Modern revenue cycle leaders are shifting to AI-driven workflows. They’re spotting issues earlier, automating repetitive tasks, getting instant policy clarity, and building appeals in seconds without waiting weeks for answers. DataRovers was built for that shift. We help organizations move from reactive to proactive RCM, so revenue loss is prevented instead of explained. Learn more at https://datarovers.com/ #RevenueCycle #HealthcareFinance #RCM #DenialsManagement #AIinHealthcare #DataRovers 2 Like Comment Share Copy LinkedIn Facebook X To view or add a comment, sign in Blueberry Health 33 followers 1w Report this post 📘 Thought leadership in healthcare software development From NHS integrations to patient care systems, the Blueberry Health blog covers real-world insights into building secure, scalable, and effective healthcare technology. 🔗 Read the latest articles: https://lnkd.in/dvrZfVR6 #HealthcareInnovation #HealthTech #DigitalTransformation #BlueberryHealth 1 Like Comment Share Copy LinkedIn Facebook X To view or add a comment, sign in 2,713 followers 84 Posts 3 Articles View Profile Connect More from this author Best Practices in Project Management Make You a Better Project Manager Muhammad Ashraf 7y Simple Keys Agile Methodology Muhammad Ashraf 7y Create a Simple Payment Gateway Plugin for WooCommerce Muhammad Ashraf 7y Explore content categories Career Productivity Finance Soft Skills & Emotional Intelligence Project Management Education Technology Leadership Ecommerce User Experience Show more Show less LinkedIn © 2026 About Accessibility User Agreement Privacy Policy Cookie Policy Copyright Policy Brand Policy Guest Controls Community Guidelines العربية (Arabic) বাংলা (Bangla) Čeština (Czech) Dansk (Danish) Deutsch (German) Ελληνικά (Greek) English (English) Español (Spanish) فارسی (Persian) Suomi (Finnish) Français (French) हिंदी (Hindi) Magyar (Hungarian) Bahasa Indonesia (Indonesian) Italiano (Italian) עברית (Hebrew) 日本語 (Japanese) 한국어 (Korean) मराठी (Marathi) Bahasa Malaysia (Malay) Nederlands (Dutch) Norsk (Norwegian) ਪੰਜਾਬੀ (Punjabi) Polski (Polish) Português (Portuguese) Română (Romanian) Русский (Russian) Svenska (Swedish) తెలుగు (Telugu) ภาษาไทย (Thai) Tagalog (Tagalog) Türkçe (Turkish) Українська (Ukrainian) Tiếng Việt (Vietnamese) 简体中文 (Chinese (Simplified)) 正體中文 (Chinese (Traditional)) Language Sign in to view more content Create your free account or sign in to continue your search Sign in Welcome back Email or phone Password Show Forgot password? Sign in or By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . New to LinkedIn? Join now or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . | 2026-01-13T09:29:52 |
https://www.linkedin.com/posts/puppyone_rag-agenticrag-contextmemory-activity-7415041099309936640-YcJQ#main-content | Business Brains in Decision-Making and Operations | puppyone ai posted on the topic | LinkedIn Agree & Join LinkedIn By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Skip to main content LinkedIn Top Content People Learning Jobs Games Sign in Join for free Business Brains in Decision-Making and Operations This title was summarized by AI from the post below. puppyone ai 355 followers 4d Report this post In the short term, business brains will increasingly appear in knowledge-intensive, high-frequency decision-making, and complex process scenarios: customer service, supply chain scheduling, risk control, R&D support, and more. In the long term, it could become the "central nervous system" of a company's digital architecture—connecting data, systems, and people to make the entire organization more agile and intelligent. But of one thing I'm certain: There are no "general-purpose brains," only "custom-built brains." Every company's business logic, knowledge assets, and organizational culture are different. Copying someone else's solution will likely lead to a poor fit. The real value comes from deeply embedding the capabilities of large models into your own business soil. If you're also considering this, start by asking yourself three questions: 1. What are our most labor-intensive and experience-dependent processes? 2. Can this experience be structured, retrieved, and reused? 3. If you had a "business-savvy AI assistant," what would you have it do for you on day one? #rag #agenticrag #contextmemory #aiagent #context 3 Like Comment Share Copy LinkedIn Facebook X To view or add a comment, sign in More Relevant Posts Abderrahim AKKOUR 3w Edited Report this post 📖 I recently read this article and wanted to share a few key takeaways : lessons learned from deploying RAG systems in production : RAG in production: key lessons for enterprise-scale deployment Many organizations are currently exploring Retrieval-Augmented Generation (RAG) to enhance AI assistants, internal knowledge platforms, and decision-support systems. Field experience shows a consistent pattern: technical feasibility is rarely the problem — operationalization and value realization are. Below are six key lessons observed when moving RAG systems from pilot to production 1. Data quality is the primary value driver RAG performance is directly correlated with the quality, structure, and governance of underlying knowledge assets. 2. Information retrieval defines system reliability Inaccurate retrieval leads to confident but incorrect outputs, creating operational and reputational risks. 3. End-to-end evaluation is non-negotiable Without structured evaluation at each stage (ingestion, retrieval, generation), failure modes remain undetected. 4. Architectural simplicity enables scalability Over-complex designs increase cost, time-to-market, and maintenance burden without proportional business gains. 5. Knowledge lifecycle management is critical Production RAG systems require continuous content updates, versioning, and re-embedding to remain relevant. 6. Business objectives must precede technology choices Successful deployments start with clearly defined use cases, KPIs, and measurable outcomes. Executive synthesis RAG should be approached as a strategic capability, not a standalone AI feature. When aligned with governance, data strategy, and business priorities, it delivers measurable productivity gains and decision reliability. 🔗 Six Lessons Learned Building RAG Systems in Production – Towards Data Science #AI #EnterpriseAI #RAG #DigitalTransformation #DataGovernance #ITStrategy #Consulting #Innovation https://lnkd.in/e6tWFm3i 3 Like Comment Share Copy LinkedIn Facebook X To view or add a comment, sign in Chetana Yogeesh 4d Report this post Why Code Is Only ~20% of the Outcome In practice, most analytics and data products fail not because: SQL was wrong Pipelines broke Architecture didn’t scale They fail because: No one agreed on definitions Stakeholders wanted different outcomes The metrics didn’t map to decisions Adoption wasn’t measured or incentivized Pricing, packaging, or GTM motion didn’t align with the insight You can build a technically flawless system that delivers zero business value. The Mental Shift: Output vs Outcome Technical Thinking Did we ship it? Is the data accurate? Is it scalable? Is the pipeline elegant? Business Thinking Did it change a decision? Is the metric trusted? Is it used repeatedly? Did revenue, retention, or efficiency improve? Why This Matters for AI and Advanced Analytics This distinction becomes even more critical with AI. AI does not fail because models are weak. It fails because: Use cases are vague Success metrics are undefined Teams don’t know how to operationalize insight Trust and governance are missing Without business analysis discipline, AI simply accelerates confusion. #BusinessAnalysis #ProductThinking #DataDrivenDecisions #GTMStrategy #AnalyticsLeadership 1 1 Comment Like Comment Share Copy LinkedIn Facebook X To view or add a comment, sign in Sameer Rehman 1mo Report this post 𝐌𝐀𝐂𝐇𝐈𝐍𝐄 𝐋𝐄𝐀𝐑𝐍𝐈𝐍𝐆 𝐈𝐒𝐍’𝐓 𝐌𝐀𝐆𝐈𝐂 — 𝐈𝐓’𝐒 𝐒𝐂𝐀𝐋𝐀𝐁𝐋𝐄 𝐃𝐄𝐂𝐈𝐒𝐈𝐎𝐍-𝐌𝐀𝐊𝐈𝐍𝐆 🧠🤖 Machine learning is simply this: we feed data into algorithms so systems can learn patterns and make predictions or decisions without being explicitly programmed for every scenario. In our AI automation projects, the real unlock isn’t just the model. It’s rethinking the workflow around it. One client thought they had a “data problem” in lead qualification. It turned out they had a “decision bottleneck” problem… ML just exposed it faster. Here’s how we explain machine learning to non-technical teams: • It learns from examples, not hard-coded rules. • It improves over time as it sees more data (when feedback loops are in place). • It’s best at narrow, repeatable tasks, not “replacing humans.” • 80% of ML project effort often goes into data cleaning and integration, not model tuning. Industry insight: teams that operationalize ML (integrated into processes and tools) are seeing up to 2–3x faster cycle times on routine decisions across sales and ops, according to multiple enterprise case studies. If you want help turning your repetitive business processes into ML-powered automations, you can book a strategy slot here: https://lnkd.in/denecNc9 Comment below with your thoughts or ML questions! #MachineLearning #Automation #BusinessGrowth View C2PA information Like Comment Share Copy LinkedIn Facebook X To view or add a comment, sign in Modern Data 101 13,061 followers 6d Report this post The word 𝒅𝒆𝒄𝒊𝒔𝒊𝒐𝒏 comes from Latin, which translates to "𝘤𝘶𝘵𝘵𝘪𝘯𝘨 𝘰𝘧𝘧." This skill especially becomes more ruthless when tradeoffs are concerned. How do you decide when two ends hang in a subtle balance with each other? You are required to "cut off" sharply, precisely, and sternly without breaking the balance of the system. ⚔️ 𝐓𝐡𝐢𝐬 𝐢𝐬 𝐭𝐡𝐞 𝐃𝐢𝐥𝐞𝐦𝐦𝐚 𝐨𝐟 𝐀𝐈 𝐩𝐥𝐚𝐜𝐞𝐦𝐞𝐧𝐭. Do you embed it deeply into your platform? Do you share it as a common layer for all? Or do you treat it as an external utility, consumed when needed? Each choice cuts off possibilities while amplifying others. ⚖️ Embed AI within, and you gain tight integration but risk rigidity. ⚖️ Keep it as a horizontal layer, and you expand reach but accept shared complexity. ⚖️ Push it outside, and you maximise flexibility for consumers but cede some control over context and depth. These tradeoffs define not just technical architecture, but organisational power. Where you place AI determines who it serves, who it empowers, and how much leverage it generates for the enterprise. 🔱 𝐇𝐞𝐫𝐞 𝐚𝐫𝐞 𝐭𝐡𝐞 𝐭𝐡𝐫𝐞𝐞 𝐬𝐭𝐫𝐚𝐭𝐞𝐠𝐢𝐜 𝐩𝐨𝐬𝐢𝐭𝐢𝐨𝐧𝐬: 𝐓𝐲𝐩𝐞 1️⃣: AI Embedded Within the Data Platform (AI-for-You) For enterprises prioritizing tight feedback loops and context-rich insights directly inside their data ecosystem. 𝐓𝐲𝐩𝐞 2️⃣: AI as a Shared Horizontal Layer (AI-for-You-and-Them) For organizations seeking shared AI services that balance control with extensibility across teams and use cases. 𝐓𝐲𝐩𝐞 3️⃣: AI as an External Utility (AI-for-Them) For those who want maximum flexibility by exporting structured data for external AI consumption, where user-facing capabilities sit outside the core platform. The decision is strategic. Where you place your AI is where you cut, and where you cut determines what grows. ℹ️ This piece by Jeevan Reddy and Ritwika C. on Modern Data 101 jumps into the details of these choices, types, and tradeoffs organisations and teams are considering to place AI right in their enterprise infrastructures: https://lnkd.in/d2fwhkjW Which one has been your approach, or is it one that falls beyond these categories? Commentary insights from Animesh Kumar Topics: #AIArchitecture #DataforAI #DataStrategy 26 Like Comment Share Copy LinkedIn Facebook X To view or add a comment, sign in Carlos U. 4w Report this post More companies are asking practical questions about AI…not “should we use it?” but “where does it actually make sense for us?” The honest answer is often less attractive than the headlines. Sometimes it’s just automating document processing. Sometimes it’s better customer insights from existing data. Sometimes it’s “not yet - let’s fix your data architecture first.” For what I’m reading, companies getting real value are treating AI like any other technology decision: start with the business problem, not the technology. What are you seeing in your industry? Like Comment Share Copy LinkedIn Facebook X To view or add a comment, sign in Addepto 3,760 followers 3w Report this post How do you automate a high-touch, creativity-driven business without losing what makes it exceptional? That was the challenge facing Meeting Tomorrow , a leading U.S. event production company — and the answer wasn’t replacing people with AI. It was designing AI around human expertise. By introducing intelligent, agentic workflows, the team automated 50–70% of repetitive pre-sales work, cutting quote preparation from hours to minutes—while keeping 100% human oversight where judgment, creativity, and experience matter most. The result? ✅ Senior experts freed from manual data entry ✅ Knowledge captured and made scalable ✅ More capacity for creative event design and client relationships ✅ Growth without linear headcount increases At the heart of this project was a clear engineering philosophy, perfectly captured by the person responsible for the solution architecture: “Our approach was simple: automate the 70–80% of work that’s mechanical, and protect the 20–30% that requires judgment. That’s not a compromise, it’s good system design. Every attempt to push AI beyond its reliable boundaries is just another way of manufacturing technical debt.”, says Adam Komorowski , Senior Data Scientist at Addepto . Read the full case study: https://lnkd.in/gFTauzFq 29 1 Comment Like Comment Share Copy LinkedIn Facebook X To view or add a comment, sign in Victor Marçais 3w Report this post AI is transforming professional services – from execution capacity to strategic intelligence The economic case is compelling: • 4x faster speed-to-insights with proprietary data governance • 25% cost reductions with AI combined with end-to-end process redesign • 30-50% productivity improvements in software development • 40% higher returns on data engineering with proprietary data exclusivity 📖 Explore how leading firms are navigating the age of intelligent services: https://okt.to/w8d0nE #AIStrategy #ProprietaryData #IntelligenceScaling #ConsultingInnovation 2 Like Comment Share Copy LinkedIn Facebook X To view or add a comment, sign in Jon Jaroska 1w Report this post Ever try making a decision with a dozen dashboards that don’t talk to each other? 🌀 That was our client last quarter. We took scattered operational data—from sales, support, and production—and built a single AI-powered decision engine. Overnight, insights that used to take weeks became real-time recommendations. The result? Teams stopped “guess-managing” and started acting with confidence. Bottlenecks that were invisible before jumped off the reports. ROI wasn’t theoretical—it was a measurable jump in efficiency and throughput. The takeaway: it’s not about having more data. It’s about unifying it, automating insight, and turning it into action. Most companies still treat data as a reporting problem. It’s actually a decision problem. Curious how a connected decision engine could change your ops? Follow me for practical AI tactics—or DM me, and we’ll dive in. 🚀 #AIInAction #OperationalExcellence #DecisionEngineering #DataDriven #BusinessAI 6 Like Comment Share Copy LinkedIn Facebook X To view or add a comment, sign in Kellen Wilkinson 2d Report this post ADL is not another platform. It’s an ephemeral Context + Data Orientation Layer across your existing systems. Not installed. Not centralized. Not a data lake. ADL runs moment-by-moment to make your decision environment measurable — then deletes what it used. Because most transformations aren’t failing from lack of data. They’re failing because leaders can’t see — or defend — the environment where decisions are happening. Dashboards don’t solve that. Dashboards track activity. ADL does something different: ✅ Orients context + data across systems in real-time ✅ Makes decision environments measurable and defensible ✅ Shows where trust breaks, adoption stalls, and risk forms ✅ Turns “transformation” from a declaration into an executable system No more dashboard theater. Just measurable, actionable decision environments. This is what’s coming next: Soon, AI outputs won’t be accepted unless they’re contextually defensible. And transformations won’t succeed unless the environment is measurable. ADL makes that possible — without becoming surveillance. 3 Like Comment Share Copy LinkedIn Facebook X To view or add a comment, sign in Sunny Sharma 4w Edited Report this post 🔥 Building on the Last Post: Why "Code-as-Truth" is Only Half the Battle. In my previous post, I argued that the primary source of truth for AI agents must be live production code. That gives us the Muscles and Skeleton of the enterprise. But if we stop at code, our AI still operates in a vacuum. It knows what the system does, but not why the business needs it or who is responsible. To get true intelligence, we need a Nervous System. The Next Frontier: The Layered Enterprise Knowledge Graph We are upgrading from a flat Code Graph to a comprehensive Digital Twin of the Organisation (DTO). As shown in the visual below, true reasoning happens when we connect four distinct layers into one central brain: 🧠 Strategy & Governance (The "Why" & "If"): Goals, Policy Documents, and Rules. 🔄 Business Capabilities (The "Value"): Processes and customer value streams. ⚙️ Applications & Services (The "Logic"): Service schemas and API endpoints. 💻 Code & Infrastructure (The "Reality"): Live production code and physical resources. The Superpower: Real-Time Traceability When you connect these layers, you get Traceability—the highest form of enterprise knowledge. Imagine asking: "What is the total business risk of deprecating this legacy field?" Instead of just grepping the code, the AI traverses the full nervous system: Code Layer: Identifies the field and dependent services. Process Layer: Maps it to a critical checkout workflow. Governance Layer: Flags a compliance rule attached to that data. Strategy Layer: Quantifies the impact on Customer Retention. The answer moves from technical guesswork to a signed-off, risk-assessed decision. We aren’t just building better documentation; we are building a better way to reason about the entire business. Let’s be honest—here is the real test: If the Board (or a Regulator) walked in today and asked for a specific risk assessment... Would you feel safe letting an AI answer based on your current documentation? A) Absolutely not. B) Maybe, but I’d verify everything manually. C) Yes, our docs are perfect (said no one ever). #EnterpriseAI #KnowledgeGraph #DigitalTwin #SystemThinking #BusinessArchitecture View C2PA information 12 Like Comment Share Copy LinkedIn Facebook X To view or add a comment, sign in 355 followers View Profile Connect More from this author Open Deep Wide Research: A General-Purpose Agent Collaboration Architecture for Large-Scale Information Gathering puppyone ai 2mo RAG: Solving the AI Agent Accuracy Crisis in High-Stakes Scenarios puppyone ai 3mo AI Self-evolution: A Comprehensive Review of LLM Closed-loop Systems and Multi-agent Frontiers puppyone ai 4mo Explore content categories Career Productivity Finance Soft Skills & Emotional Intelligence Project Management Education Technology Leadership Ecommerce User Experience Show more Show less LinkedIn © 2026 About Accessibility User Agreement Privacy Policy Cookie Policy Copyright Policy Brand Policy Guest Controls Community Guidelines العربية (Arabic) বাংলা (Bangla) Čeština (Czech) Dansk (Danish) Deutsch (German) Ελληνικά (Greek) English (English) Español (Spanish) فارسی (Persian) Suomi (Finnish) Français (French) हिंदी (Hindi) Magyar (Hungarian) Bahasa Indonesia (Indonesian) Italiano (Italian) עברית (Hebrew) 日本語 (Japanese) 한국어 (Korean) मराठी (Marathi) Bahasa Malaysia (Malay) Nederlands (Dutch) Norsk (Norwegian) ਪੰਜਾਬੀ (Punjabi) Polski (Polish) Português (Portuguese) Română (Romanian) Русский (Russian) Svenska (Swedish) తెలుగు (Telugu) ภาษาไทย (Thai) Tagalog (Tagalog) Türkçe (Turkish) Українська (Ukrainian) Tiếng Việt (Vietnamese) 简体中文 (Chinese (Simplified)) 正體中文 (Chinese (Traditional)) Language Sign in to view more content Create your free account or sign in to continue your search Sign in Welcome back Email or phone Password Show Forgot password? 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https://ai.google.dev/gemini-api/docs/api-versions?hl=de | Erläuterung der API-Versionen | Gemini API | Google AI for Developers Zum Hauptinhalt springen / 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-Schlüssel abrufen Kochbuch Community Anmelden Dokumentation API-Referenz Gemini API Dokumentation API-Referenz API-Schlüssel abrufen Kochbuch Community Übersicht API-Versionen Leistungsspektrum Modelle Inhalte werden generiert Live-API Live Music API Interactions API Tokens Dateien Batch API Caching Einbettungen Dateisuche Dateisuchspeicher Dokument Alle Methoden Eingestellt PaLM (außer Betrieb genommen) SDK-Referenzen Python Go TypeScript Java C# Startseite Gemini API API-Referenz Feedback geben Erläuterung der API-Versionen Wir haben unsere Nutzungsbedingungen aktualisiert. Dieses Dokument bietet einen allgemeinen Überblick über die Unterschiede zwischen den Versionen v1 und v1beta der Gemini API. v1 : Stabile Version der API. Funktionen in der stabilen Version werden während des gesamten Lebenszyklus der Hauptversion vollständig unterstützt. Wenn es grundlegende Änderungen gibt, wird die nächste Hauptversion der API erstellt und die vorhandene Version nach einem angemessenen Zeitraum eingestellt. Nicht abwärtskompatible Änderungen können an der API vorgenommen werden, ohne dass sich die Hauptversion ändert. v1beta : Diese Version enthält frühe Funktionen, die sich möglicherweise noch in der Entwicklung befinden und funktionsgefährdende Änderungen erfahren können. Es gibt auch keine Garantie dafür, dass die Funktionen in der Betaversion in die stabile Version übernommen werden. Wenn Sie Stabilität in Ihrer Produktionsumgebung benötigen und keine Breaking Changes riskieren können, sollten Sie diese Version nicht in der Produktion verwenden. Funktion v1 v1beta Inhalte generieren – Nur Texteingabe Inhalte generieren – Text- und Bildeingabe Inhalte generieren – Textausgabe Inhalte generieren – Multi-Turn-Unterhaltungen (Chat) Inhalte generieren – Funktionsaufrufe Inhalte generieren – Streaming Inhalte einbetten – Nur-Text-Eingabe Antwort generieren Semantischer Retriever Interactions API – Unterstützt – Wird nie unterstützt API-Version in einem SDK konfigurieren Das Gemini API SDK verwendet standardmäßig v1beta . Sie können aber auch andere Versionen verwenden, indem Sie die API-Version festlegen, wie im folgenden Codebeispiel gezeigt: Python from google import genai client = genai . Client ( http_options = { 'api_version' : 'v1alpha' }) response = client . models . generate_content ( model = 'gemini-2.0-flash' , contents = "Explain how AI works" , ) print ( response . text ) JavaScript import { GoogleGenAI } from "@google/genai" ; const ai = new GoogleGenAI ({ httpOptions : { apiVersion : "v1alpha" }, }); async function main () { const response = await ai . models . generateContent ({ model : "gemini-2.0-flash" , contents : "Explain how AI works" , }); console . log ( response . text ); } await main (); REST curl "https://generativelanguage.googleapis.com/v1/models/gemini-1.5-flash:generateContent" \ -H "x-goog-api-key: $GEMINI_API_KEY " \ -H 'Content-Type: application/json' \ -X POST \ -d '{ "contents": [{ "parts":[{"text": "Explain how AI works."}] }] }' Feedback geben Sofern nicht anders angegeben, sind die Inhalte dieser Seite unter der Creative Commons Attribution 4.0 License und Codebeispiele unter der Apache 2.0 License lizenziert. Weitere Informationen finden Sie in den Websiterichtlinien von Google Developers . Java ist eine eingetragene Marke von Oracle und/oder seinen Partnern. Zuletzt aktualisiert: 2025-12-18 (UTC). Haben Sie Feedback für uns? [[["Leicht verständlich","easyToUnderstand","thumb-up"],["Mein Problem wurde gelöst","solvedMyProblem","thumb-up"],["Sonstiges","otherUp","thumb-up"]],[["Benötigte Informationen nicht gefunden","missingTheInformationINeed","thumb-down"],["Zu umständlich/zu viele Schritte","tooComplicatedTooManySteps","thumb-down"],["Nicht mehr aktuell","outOfDate","thumb-down"],["Problem mit der Übersetzung","translationIssue","thumb-down"],["Problem mit Beispielen/Code","samplesCodeIssue","thumb-down"],["Sonstiges","otherDown","thumb-down"]],["Zuletzt aktualisiert: 2025-12-18 (UTC)."],[],[]] Nutzungsbedingungen Datenschutz Manage cookies 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 | 2026-01-13T09:29:52 |
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https://www.cisco.com/site/us/en/about/purpose/fy24-report/index.html#bar_grande | FY24 Purpose Report - Cisco Skip to main content Skip to search Skip to footer Cisco.com Worldwide Products and Services Close Solutions Close Support Close Learn Close Why Cisco Close Partners Close Trials and demos How to buy Partners EN US Profile Log in Trials and demos MENU CLOSE How to buy Partners Profile Log in EN US Close Close Close Close Close Hello, how can I help? About Purpose Power an Inclusive Future for All FY24 Purpose Report Celebrating 40 Years of Impact Driven by our Purpose, we combine our technology, people, and broader networks to address society's greatest challenges. We share the progress we've made in our annual report. FY24 Purpose Report (PDF) Overview Explore the Report Looking Ahead FY24 Purpose Report 40 Years of Impact We built the digital highways that have become the backbone for modern communication. Now, we’re harnessing the power of connection to build a better future for people, communities, and the planet. For 40 years, connection has been core to Cisco’s identity. At Cisco, we’re proud of how our products and services bridge gaps, enable collaboration, and drive sustainability in meaningful ways. We prove every day that running a successful business with a commitment to do good makes progress possible. Letter from the CEO Our Timeline of Impact 1984 Cisco Systems, Inc Developed by Sandy Lerner and Leonard Bosack with a team of colleagues at Stanford University, the multiprotocol router connected disparate computer networks, leading to Cisco’s founding. 1997 Cisco Networking Academy Launched to educate high school and college students on how to design, install, and maintain computer networks. 1997 Cisco Foundation Established to support programs that leverage the Internet to help people in need and drive positive change. 1998 Cisco Community Investment Report Published report detailing Cisco’s philanthropic and community investment efforts. 1999 NetAid Harnessed the Internet to raise US$830K to end global poverty. By live-streaming celebrated musicians across three locations, NetAid garnered 2.4M views across 80 countries and set a record for the largest Internet broadcast event for a single day. 2000 Habitat for Humanity Provided funding and volunteer support to build homes and wire houses for Internet access. 2005 Corporate Citizenship Report Made a formal commitment to transparency and accountability by publishing details on Cisco's Corporate Social Responsibility efforts. 2005 Crisis Response Deployed communications equipment to assist emergency personnel in the aftermath of Hurricane Katrina and formed a dedicated emergency response team. 2006 Goal to Reduce Emissions Set our first greenhouse gas emissions reduction goal. 2011 Veterans Program Established program to help transitioning U.S. military veterans and families find employment and educational opportunities. 2011 On-Campus Solar Energy Installed first solar energy project at Cisco's Research Triangle Park campus. 2012 Global Human Rights Policy Formalized our commitment to respect human rights for all people. 2014 Talos Formed to provide accurate, rapid, and actionable threat intelligence for Cisco customers, products, and services. 2015 Country Digital Acceleration Launched program to collaborate with government and private sector leaders in building sustainable, secure, and inclusive communities. 2016 White House Equal Pay Pledge Became a founding signer of the White House Equal Pay Pledge and committed to paying employees fairly and equitably. 2018 Homelessness Grant Announced a five-year, US$50M commitment to end homelessness in Santa Clara County. 2019 Global Citizen Announced a partnership with Global Citizen to power the movement to end extreme poverty. 2020 Community Enablement Commitment Transformed longstanding advocacy for community enablement into a global, company-wide commitment. 2020 COVID-19 Response Introduced $2.5B financing program to support customers and keep businesses running; donated US$50M in cash and personal protective equipment (PPE) to organizations supporting vulnerable citizens; and provided funding to deploy COVID-19-related technology solutions. 2021 Cisco Foundation Climate Commitment Committed US$100M over the next 10 years to address climate change. 2021 Net Zero Announced a goal to reach net-zero greenhouse gas emissions across our value chain by 2040. 2022 Responsible AI Launched our Responsible AI (RAI) Principles and RAI Framework to formalize our commitment to build safe and trustworthy AI. 2023 One Billion Lives Exceeded our goal—ahead of schedule—to positively impact one billion people globally from FY16-FY23 through Cisco Networking Academy and social innovation grants. 2024 40 Communities Announcing our next big ambition: over the next 10 years, we plan to engage, support, and invest in 40 communities around the globe. Previous Next Explore this year’s report View all Power Power We build and deliver technology that powers the world’s connectivity, whether that’s between computers, throughout communities, or across continents. And we do so with the highest standards of ethics and integrity in mind—for ourselves, for our customers and partners, and for their users. That’s the power, and importance, of connection. Explore the Power section 0 1600 Active, completed, or in-pipeline projects across 50 countries through Country Digital Acceleration 0 B 800 billion Security events observed each day by Cisco Talos, protecting the world against cyber threats 0 27 Languages available for stakeholders to use Cisco’s EthicsLine 0 % 99.9% Of employees completed our annual Code of Business Conduct certification Featured Stories Connectivity in the Amazon The first floating Networking Academy provides free WiFi within a 30-meter radius, offers IT training, and promotes digital inclusion for communities. Responsible Mineral Sourcing We joined the Initiative for Responsible Mining Assurance to support the visibility, accountability, and inclusion of rightsholders as decision-makers at all levels of the mineral supply chain. Show more Inclusive Inclusive We’re recognized as one of the world’s best workplaces, and we have an unrelenting focus on employee wellbeing, benefits, giving, and inclusion. We strive to create the best possible employee experience, because we know our greatest asset is our people. Explore the Inclusive section 0 % 86% Employees participated in community impact efforts through donations, volunteering, and more 0 720,000 Volunteer hours logged by employees Launched BridgeIT, a Cisco Enterprise Chat AI, to intelligently guide employees and help them work faster, safer, and smarter 0 31 Inclusive Communities with 335 chapters across 77 countries Featured Stories Native American Network Cisco’s Native American Network deployed 18 sovereign broadband access points on Zuni tribal lands in New Mexico to help close the digital divide. Wellbeing in Technology The "WellNest" on Webex pilot supports physical, mental, social, and financial wellbeing through an intuitive AI-powered platform. Show more Future Future Cisco has been committed to reducing its environmental impact for nearly two decades, but there’s more to be done as we work toward a regenerative future. Our sustainability strategy, the Plan for Possible, guides us as we build our products, accelerate clean energy access, support suppliers’ reduced environmental impacts, and foster climate resiliency in communities. Explore the Future section 0 % 96% Of electricity for Cisco facilities came from renewable sources 0 % 73% Reduction in Scope 1 and 2 emissions FY25 goal: 90% reduction 0 % 75% Of the waste generated at our facilities was diverted from landfill globally 0 % 96% Of new Cisco products and packaging incorporate Circular Design Principles FY25 goal: 100% meeting circular design criteria Featured Stories Connected Conservation Cisco donated Cisco Meraki routers to African Parks to help them harness reliable Internet technology. Cisco Refresh We provide a second life to our products and reduce waste through the Cisco Refresh program, and we provide discounts to businesses joining the circular economy. Show more For All For All Through our technology, our people, and our broader networks, we create solutions that help address the world’s most critical challenges—from the AI skills gap to social inequities to environmental crises. We continue to show up to create a better future for all, by all, with all stakeholders who share our vision. Explore the For All section 0 M 24 million Cisco Networking Academy students since 1997 0 + 30 plus Natural disasters and humanitarian crises responded to by Cisco Crisis Response $ 0 M USD 35 million US dollars Approved to fund climate solutions through the Cisco Foundation since FY21 $ 0 B USD 1.5 billion US dollars In Title IV Federal Funding that we helped preserve for HBCUs since FY20 Featured Stories Women Rock-IT Women Rock-IT celebrated 10 years, and their annual International Girls in ICT day programming reached 1.2 million on social media. Impact in India Cisco partners with NGOs and government agencies in India to create technology-based solutions that support critical human needs. View all Looking Ahead To celebrate our 40th year, we’re looking ahead to our future with Splunk and how we can drive even greater success for our customers, partners, employees, and communities together. There’s no better way to celebrate our anniversary than setting our next big ambition to propel us into the future. Learn more from Chief People, Policy & Purpose Officer Fran Katsoudas on what’s next for Cisco’s Purpose work. Explore “Looking Ahead” 40 Years of Impact Power an Inclusive Future for All Driven by our Purpose, we combine our technology, people, and broader networks to address society's greatest challenges. We share the progress we've made in our annual report. FY24 Purpose Report (PDF) Purpose Reporting Hub Quick Links About Cisco Contact Us Careers Connect with a partner Resources and Legal Feedback Help Terms & Conditions Privacy Cookies / Do not sell or share my personal data Accessibility Trademarks Supply Chain Transparency Newsroom Sitemap © Cisco Systems, Inc. | 2026-01-13T09:29:52 |
https://www.linkedin.com/posts/careplanai_digitalhealth-ontariohealth-aiinhealthcare-activity-7407777357417054208-vmr5 | AI Drives Healthcare Innovation in Ontario | CarePlan AI posted on the topic | LinkedIn Agree & Join LinkedIn By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Skip to main content LinkedIn Top Content People Learning Jobs Games Sign in Join now AI Drives Healthcare Innovation in Ontario This title was summarized by AI from the post below. CarePlan AI 73 followers 3w Report this post Discover how software innovations are reshaping healthcare management - from AI-driven customization to adaptable data models and templates. Ready to meet complex care demands with confidence and clarity? #DigitalHealth #OntarioHealth #AIinHealthcare #HealthTech #DigitalTransformation #HealthcareInnovation 5 Like Comment Share Copy LinkedIn Facebook X To view or add a comment, sign in More Relevant Posts Tej Vij 2d Report this post Most RCM software fails not because of bad technology… but because it’s built without understanding real operations. True revenue cycle success comes when technology aligns with: • Workflow ownership • Human behavior • Financial accountability The next wave of healthcare tech will not be about more features — it will be about fewer failures in execution. #HealthTech #RCMSoftware #HealthcareInnovation #DigitalHealth #HealthcareIT #USHealthcare #HealthcareLeadership #RevenueCycle 3 Like Comment Share Copy LinkedIn Facebook X To view or add a comment, sign in VarenyaZ 16,584 followers 1w Report this post In healthcare, fragmented data is not just an inefficiency, it is a barrier to quality care. Custom EHR Software Development is fundamentally redefining the landscape of digital healthcare, moving beyond basic record-keeping into end-to-end system architecture, seamless resource planning, and secure, high-fidelity data governance. At VarenyaZ, we're helping healthcare providers and medical enterprises harness the power of integrated platforms to: ✔️ 𝐄𝐧𝐡𝐚𝐧𝐜𝐞 the speed and precision of clinical decision-making ✔️ 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐞 complex administrative workflows and resource allocation ✔️ 𝐒𝐭𝐫𝐞𝐚𝐦𝐥𝐢𝐧𝐞 patient data management while ensuring total regulatory compliance This is not just a slight improvement. It is truly minimizing clinical friction and creating a competitive moat of patient-centered excellence. Learn more at 𝐡𝐭𝐭𝐩𝐬://𝐯𝐚𝐫𝐞𝐧𝐲𝐚𝐳.𝐜𝐨𝐦/ and contact us at 𝐜𝐨𝐟𝐟𝐞𝐞@𝐯𝐚𝐫𝐞𝐧𝐲𝐚𝐳.𝐜𝐨𝐦. #EHRDevelopment #HealthTech #DigitalHealth #HealthcareInnovation #CustomSoftware #VarenyaZ 11 Like Comment Share Copy LinkedIn Facebook X To view or add a comment, sign in AOneXUs 25 followers 3w Report this post 🧠 Healthcare Doesn’t Have a Complexity Problem. It Has a Manual Process Problem. Let’s get straight to the point—modern healthcare is powered by advanced diagnostics, AI-driven imaging, and cutting-edge treatments… Yet behind the scenes, many clinics still rely on manual billing, spreadsheets, and fragmented workflows to keep the lights on. The data makes the gap impossible to ignore 👇 📄 30–40% of staff time is consumed by administrative and billing work 💸 $125B+ lost annually in the U.S. due to billing and operational inefficiencies 🔁 40% of manual claims require rework because of avoidable errors ⚡ 35% faster reimbursements reported by practices using automated RCM 📉 Up to 25% reduction in claim denials with streamlined, digital workflows Translation? Healthcare isn’t inefficient because it’s complex. It’s inefficient because it’s manual. At AOneXUs , we’re fixing the invisible bottleneck that slows clinics down by delivering: ⚙️ Revenue Cycle Management that actually improves cash flow 👩💻 Virtual Back-Office Support that scales without increasing headcount 🤖 Automation-first billing & claims workflows built for what’s next Because when operations run smoothly, ✔️ teams burn out less ✔️ revenue flows faster ✔️ patients get better experiences Efficiency isn’t just a business metric in healthcare— it’s a care enabler. 💬 What’s the one back-office task in your clinic that feels like it belongs in another decade? 1 Like Comment Share Copy LinkedIn Facebook X To view or add a comment, sign in Jorie AI 37,774 followers 2w Report this post Outcomes based care requires operational intelligence. Outcomes based reimbursement shifts risk and opportunity onto healthcare organizations. Success depends on having clean data, automated workflows, and real time visibility across clinical and financial operations. Manual processes and disconnected systems create delays that outcomes-based models do not tolerate. This is where intelligent automation becomes essential. By automating eligibility checks, charge entry, claims follow up, and denial management, organizations gain the operational clarity needed to support long term patient outcomes and sustainable reimbursement. Healthcare transformation does not happen at the policy level alone. It happens inside workflows. #JorieAI #CMS #AIinHealthcare #RevenueCycleManagement #HealthcareAutomation #HealthTech 18 Like Comment Share Copy LinkedIn Facebook X To view or add a comment, sign in Timothy Maffa 3w Edited Report this post Interoperability is one of those things everyone agrees is important… The piece that actually makes it work in healthcare is usually misunderstood. ⬇️ In healthcare - real interoperability isn’t just about connecting systems. It’s about deciding what data matters, when it should move, and who owns it when something breaks. When interfaces, HL7 feeds, and downstream workflows are thoughtfully designed, clinicians trust what they see, operations run smoother, and innovation becomes possible. When they aren’t, even the best EHR starts to feel brittle. Most of the challenges I see don’t come from technology limits - they come from unclear ownership and interfaces that were “good enough” at go-live and never revisited. Strong interoperability isn’t flashy, but it’s foundational. It’s where reliability, scale, and future-proofing actually start. 16 13 Comments Like Comment Share Copy LinkedIn Facebook X To view or add a comment, sign in Ketan Kashyap 1w Report this post Before scaling your clinic or healthcare business, audit your digital systems using this simple process: 1. Patient Journey Review Track every step—from booking to follow-ups. Identify manual handoffs and delays. 2. System Integration Check List all tools used (appointments, billing, EMR, marketing). Disconnected systems signal future bottlenecks. 3. Load & Volume Readiness Ask: Can your systems handle 2x or 5x patient volume without breaking? 4. Automation Assessment Identify tasks still done manually that should be automated. 5. Reporting & Visibility If you can’t see real-time data, you can’t manage growth effectively. If any step feels fragile, your systems are not growth-ready yet. #HealthcareTechnology #ClinicGrowth #ScalableSystems #HealthcareIT #DigitalTransformation #WiseTech #WiseTechInformatics 6 Like Comment Share Copy LinkedIn Facebook X To view or add a comment, sign in Akhilav Technologies 557 followers 4d Report this post Why System Integration Matters in Healthcare Disconnected systems slow hospitals down. Integrated systems help with: ✔ Faster diagnosis ✔ Unified patient data ✔ Automation ✔ Better reporting We integrate EMR + LIMS + Pharmacy + Billing into one connected ecosystem. #HealthcareIT #HealthTech #DigitalHealth #HealthcareTechnology #SmartHealthcare #SystemIntegration #HealthcareIntegration #Interoperability #EnterpriseSoftware #DigitalTransformation #HospitalManagement #HealthcareSystems #ClinicalWorkflow #PatientData #HealthcareAutomation #EMR #EHR #HealthData #HealthcareAnalytics #DataDrivenHealthcare #GlobalHealthcare #HealthcareInnovation #MedTech #HealthITSolutions #FutureOfHealthcare #HealthcareLeaders #CIO #CTO #HospitalIT #HealthTechTrends 3 Like Comment Share Copy LinkedIn Facebook X To view or add a comment, sign in Cypress Health 108 followers 4d Report this post Streamlining Automation in Prior Authorization Processes in Healthcare Prior authorizations remain one of the most time-consuming and frustrating administrative burdens in healthcare. Manual workflows, inconsistent payer requirements, and delayed approvals often impact patient care and operational efficiency. Automation is changing that narrative. By leveraging intelligent automation tools, healthcare organizations can: ✔ Reduce administrative workload and repetitive data entry ✔ Improve turnaround times for authorization approvals ✔ Minimize errors and denials caused by incomplete or inaccurate submissions ✔ Enhance compliance with payer-specific requirements ✔ Allow clinical and administrative teams to focus more on patient care From automated eligibility checks and real-time documentation capture to AI-driven decision support, automation brings consistency and transparency to the prior authorization lifecycle. The result is faster approvals, improved provider satisfaction, and better patient experiences. As the healthcare industry continues to evolve, adopting automated prior authorization solutions is no longer optional—it’s essential for efficiency, scalability, and quality care delivery. Visit Website: https://lnkd.in/eNZfHn6N Book a Demo: https://lnkd.in/encprb6Q 💡 The future of prior authorization is automated, connected, and patient-centric. #HealthcareAutomation #PriorAuthorization #RevenueCycleManagement #HealthTech #OperationalEfficiency #DigitalHealth 2 Like Comment Share Copy LinkedIn Facebook X To view or add a comment, sign in AOneXUs 25 followers 2w Report this post 🧠 Healthcare Doesn’t Need More Effort. It Needs Better Operations. The irony of modern healthcare? We use advanced diagnostics, AI-assisted imaging, and cutting-edge treatments— yet still rely on manual, error-prone admin and billing workflows behind the scenes. Let’s look at the numbers that explain why this matters 👇 📊 30–40% of clinic staff time is consumed by administrative and billing work 💸 $125B+ lost annually in the U.S. due to billing and operational inefficiencies 📄 40% of manual claims require rework because of avoidable errors ⏱️ Practices using automated RCM report 35% faster reimbursements 📉 Up to 25% reduction in claim denials with streamlined digital workflows Translation? Healthcare isn’t inefficient because it’s complex. It’s inefficient because it’s manual. At AOneXUs , we focus on fixing the invisible bottleneck: ⚙️ Revenue Cycle Management that actually improves cash flow 👨💻 Virtual Back-Office Support that scales without increasing headcount 🤖 Automation-first billing & claims workflows built for what’s next Because when operations run smarter: • Teams burn out less • Clinics get paid faster • Patients experience better care Efficiency isn’t just a business metric in healthcare. It’s a care multiplier. 💬 What’s one admin process in your practice that feels overdue for an upgrade? 7 Like Comment Share Copy LinkedIn Facebook X To view or add a comment, sign in Swap Sonic 54 followers 3w Report this post 🌟 What Reporting and Analytics Should You Expect From Healthcare Automation Tools? 🌟 ✳️ Did you know that healthcare organizations using automation tools see a 30% reduction in administrative costs? That's a game-changer! 💡 📊 In the healthcare industry, automation tools are revolutionizing how we approach data. For instance, a leading hospital implemented an automation tool that reduced patient wait times by 25% and increased patient satisfaction scores by 15%. 🏥📈 💥 One of the biggest pain points in healthcare is the overwhelming amount of data that needs to be processed and analyzed. This often leads to inefficiencies and increased costs. Automation tools can alleviate this by providing real-time analytics and reporting, allowing healthcare professionals to make informed decisions quickly. 💼🔍 🔍 The opportunity here is immense. By leveraging automation tools, healthcare organizations can not only improve operational efficiency but also enhance patient outcomes. This shift towards data-driven decision-making can lead to significant ROI and a competitive edge in the market. 🚀📊 🌟 The clear takeaway? Investing in healthcare automation tools that offer robust reporting and analytics is not just a trend—it's a necessity. These tools can transform how healthcare organizations operate, leading to better patient care and reduced costs. 🏥❤️ 🧠 Remember, the future of healthcare lies in smart, data-driven solutions. Embrace the change and lead the way! 🚀 #healthcareautomation #dataanalytics #futureofhealthcare #techinnovation #SwapnilBabu ✨🤖 4 Like Comment Share Copy LinkedIn Facebook X To view or add a comment, sign in 73 followers View Profile Connect Explore content categories Career Productivity Finance Soft Skills & Emotional Intelligence Project Management Education Technology Leadership Ecommerce User Experience Show more Show less LinkedIn © 2026 About Accessibility User Agreement Privacy Policy Cookie Policy Copyright Policy Brand Policy Guest Controls Community Guidelines العربية (Arabic) বাংলা (Bangla) Čeština (Czech) Dansk (Danish) Deutsch (German) Ελληνικά (Greek) English (English) Español (Spanish) فارسی (Persian) Suomi (Finnish) Français (French) हिंदी (Hindi) Magyar (Hungarian) Bahasa Indonesia (Indonesian) Italiano (Italian) עברית (Hebrew) 日本語 (Japanese) 한국어 (Korean) मराठी (Marathi) Bahasa Malaysia (Malay) Nederlands (Dutch) Norsk (Norwegian) ਪੰਜਾਬੀ (Punjabi) Polski (Polish) Português (Portuguese) Română (Romanian) Русский (Russian) Svenska (Swedish) తెలుగు (Telugu) ภาษาไทย (Thai) Tagalog (Tagalog) Türkçe (Turkish) Українська (Ukrainian) Tiếng Việt (Vietnamese) 简体中文 (Chinese (Simplified)) 正體中文 (Chinese (Traditional)) Language Sign in to view more content Create your free account or sign in to continue your search Sign in Welcome back Email or phone Password Show Forgot password? 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https://www.notion.com/templates/creators | Explore 2,000+ of Template Creators in Notion Marketplace| Work & Personal Notion Features Notion AI Build, write, automate Agents Handles manual tasks Enterprise Search Find answers instantly AI Meeting Notes Perfectly written by AI Docs Simple & powerful Knowledge Base Centralize your knowledge Projects Manage any project Sites Publish anything, fast Get started Explore AI use cases See what Notion AI can do Browse marketplace Templates for everything View integrations Connect your apps with Notion Download web clipper Save from the web into Notion Try the Notion desktop app for a faster experience Download app Mail Calendar AI Enterprise Pricing Explore Teams Eng & Product Design Marketing IT Team size Startups SMBs Enterprise Education Learn Help center Notion Academy Customer stories Blog Community Partner programs Build API Templates Security Consultants Request a demo Log in Get Notion free Marketplace Work School Life Clear Search template gallery Templates -3 more templates No results for Creators Discover the best organizations and individuals from every walk of life, building amazing things in Notion. Notion recommended All creators Certified consultants Notion recommended All categories All categories Work School Life Most duplicated Most duplicated Most templates Alphabetical 581 creators Notion Welcome to Notion’s creator profile! Here you’ll find countless templates to inspire your next project. Whether you use Notion for work, life, or everything in between, there’s something here to get you started. 515 templates Easlo Helping you improve organization and productivity to unlock your full potential. 33 templates desbyseb Beginner-friendly, fully customizable templates designed to fit your workflow. Official Notion Partner offering startups up to 6 months of Free trial access to Notion AI. Check the link mentioned on my bio. 384 templates mrpugo Let's team up to upgrade your life, turbocharge your business, and if you're dreaming of launching a digital business like mine, I'm your ally. 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En mi canal de YouTube pueden encontrar temas relacionados con productividad, finanzas personales, organización , hábitos, Notion y más 26 templates Koi Koi is for creator-curious learners who want to make an impact with education. By combining learning & productivity skills with modern digital tools, we'll help you build an online education business. Do meaningful work you love and on your own terms. 4 templates IdeaLa Hi! I'm Laura, an Italian creator with a passion for designing beautiful and functional Notion templates. I love sharing my work to help others stay organized and inspired. If you have any suggestions or feedback, I’d love to hear from you. Thank you for your support! 25 templates Pascio Official Notion Ambassador and creator of 50+ templates to help you get organized and stay productive. 47 templates Severin Schuetz I create custom Notion templates for a stress-free and organized daily life. 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https://www.cisco.com/c/en_au/products/software/index.html | Cisco Software (SaaS) - Cisco Skip to content Skip to search Skip to footer Cisco.com Australia / New Zealand Products and Services Solutions Support Learn Explore Cisco How to Buy Partners Home Partner Program Support Tools Find a Cisco Partner Meet our Partners Become a Cisco Partner Products & Services Software Turn your vision of an intelligent network to reality with Cisco Software. Contact Cisco Get a call from Sales Contact Sales via Email Call Sales: 1800 134349 (AU) 0800 291129 (NZ) Webex 1800 493239 AU 0508 555607 NZ 8:30 AM to 5:00 PM AEDT Product / Technical Support Explore Cisco's software solutions To find the Security, Networking, Collaboration, and Data Center solutions that will work for you, check out Cisco's complete index of software offerings. See all software Security Our security products give you the scope, scale, and capabilities to keep up with the complexity and volume of threats. Cisco Secure Endpoint Finds, stops, and removes malicious content easily and quickly. Cisco Duo Helps you gain trust in your users with Multi-Factor Authentication. Cisco Meraki vMX100 Virtual MX lets customers extend the functionality of a Meraki security appliance to IT services hosted in the public cloud. Cisco Secure Cloud Analytics Gives scalable visibility and security analytics across your business. Cisco Umbrella Is the first line of defense against threats on the Internet. Networking Our networking solutions take a software-delivered approach to automate and assure services across your WAN, campus, and branch networks. Cisco DNA Software Unlock policy-based automation, secure connectivity, end-to-end visibility, analytics, and assurance in your network. Cisco DNA Software for SD-WAN and Routing Simplify your WAN architecture. Make the WAN easier to deploy, manage, and operate. Cisco DNA Software for Switching Segment your network for security, compliance, and complex processes. Centralise policy management. Cisco DNA Software for Wireless Deliver exceptional wireless performance for high-density environments. Get end-to-end visibility and remediation guidance. Cisco Meraki Deploy smart, cloud-managed IT solutions that make life simpler. Cisco ThousandEyes Internet and Cloud Intelligence Instantly identify what is impacting user experiences across any domain—even those that you do not own or control. Collaboration Accelerate teamwork and create more meaningful experiences. Cisco Webex Shorter, effective, and secure meetings. Data Center The control you need to power every app in every location for a year. Cisco AppDynamics Optimises your complex app environments at scale. Cisco Application Centric Infrastructure (ACI) Provides operational simplicity, agility, and protection for multicloud networks. Cisco Intersight Rethink cloud operations and take control of your always-on, hyper-distributed world. Cisco Nexus Firmware Development Kit (FDK) A powerful software development framework to create application functionality and intelligence for FPGA-based Nexus switches and SmartNICs. Small business solutions Operate your network with simple, flexible, and secure solutions specifically designed for the small business. Explore Cisco Designed Simplify software licensing with Cisco's Enterprise Agreement. Learn more | 2026-01-13T09:29:53 |
https://www.cisco.com/site/au/en/solutions/smart-building/index.html | Cisco Smart Building Solutions - Cisco Skip to main content Skip to search Skip to footer Cisco.com Australia / New Zealand Products and Services Close Solutions Close Support Close Learn Close Why Cisco Close Partners Close Close Explore Cisco How to buy Partners EN AU Log in Explore Cisco Search MENU CLOSE How to buy Partners Log in EN AU Close Close Close Close Close Hello, how can I help? Solutions Cisco Smart Building solutions Build for the changing way we work Reimagine your workspaces. Create connected experiences built and powered by innovative, user-centric technology. Access design guides Overview Resources Elevate your space by combining design, technology, and data Design your facility with smart building technology Create the workplace experience your teams enjoy and future talent desires to power your successful real estate strategy. Lower capital expenditures Save money and simplify operations by investing in a single secure network. Reduce operating expenses Use less energy with connected HVAC, security, and occupancy systems. Accelerate your net-zero journey Cut your building's carbon emissions by swapping in energy-efficient Power over Ethernet (PoE). Design safe, inviting workplaces Create spaces ideal for hot desking, collaboration, socialising, and training. Discover smart building benefits for every role Corporate real estate Use smart-building technologies to gain actionable, timely insights into building resource availability, occupancy, and energy usage. These advancements will help control costs and maximise profits with tools that track and monitor location, usage, and behavior. Unified workplace experience Extend corporate culture to a diverse, distributed workforce with more secure connectivity to productivity tools and shared resources. Architecture and interior design Make "smart" a starting point to create an attractive space for hybrid workers today—and whatever comes next. Construction, mechanical, and electrical Design to reduce costs, maximise space utilisation, and manage asset inventory using technology that senses, controls, and automates almost every aspect of the building. Access architectural guides Transform your building into a smart building Get actionable insights by bringing all applications and data together into one cloud platform. Harness the behavioral data of people and things with Cisco Spaces. Start free trial Find innovative products that power smart buildings Physical security Sensors and cameras Reimagine your safety and physical security best practices. Experience less complexity, fewer manual tasks, and more visibility across your workspaces. Secure your workspaces Power your office Power over Ethernet (PoE) Reimagine powering your buildings. Optimise energy efficiency and workplace wellness using your network as the foundation for smarter, more sustainable buildings. Power your lights, sensors, and network Network and power Switching, wireless, PoE Reimagine your network with software and hardware that work best together. Connect and power your buildings with built-in automation, analytics, and security. Connect your buildings Collaboration devices Empower your teams Reimagine teamwork. Connect, share, and create with your teams and go-to apps with the latest innovative devices powering hybrid work. Engage in the office, at home—anywhere Experience how Cisco does smart buildings Take an immersive virtual tour of our PENN 1 office in New York. See how our state-of-the-art workplace is designed to attract top talent, help ensure well-being, and provide flexible ways to work. Launch virtual tour What our customers are saying Developing a living, breathing smart building "L&T Realty, India's most respected real estate developer, recently commissioned one of the smartest buildings in India." Devdas Bhaskar, Head, Design and Engineering L&T Realty Watch the video (03:18) Securing infrastructure for the city of the future "The goal for Gilbert is not just to grow, but to "build smart" with the future in mind." Dr. Tony Bryson, Chief Information and Security Officer Town of Gilbert, Arizona (USA) Read the full story Driving the UK's largest workplace transformation project "BT expects to use 70 percent less electricity to get 10 times the performance after implementing a smart workspaces solution built on Cisco technologies." Colin Bannon, CTO BT Business Watch the video (02:25) Redefining employee experience with a smart campus "Norfolk Southern offers employees an ideal hybrid workspace, combining a 750,000-square-foot smart campus that seamlessly extends to employees' home offices with Cisco Smart Building solutions." Banita Hyman, Director of Enterprise Services Norfolk Southern Watch the video (02:11) Previous Next Cisco design guides Design guides for smart workplaces Get our design guides that help take the guesswork out of modernising your workplaces and create the optimal work environment that works for you. Access design guides Quick Links About Cisco Contact Us Careers Connect with a partner Resources and Legal Feedback Help Terms & Conditions Privacy Statement Cookies Trademarks Supply Chain Transparency Sitemap © Cisco Systems, Inc. | 2026-01-13T09:29:53 |
https://www.cisco.com/c/ko_kr/support/index.html | 지원 - Cisco 지원 및 다운로드 - 설명서, 툴, 사례 - Cisco Skip to Main Content 건너뛰고 검색하기 Skip to Footer Cisco.com 한국 제품 및 서비스 솔루션 지원 학습 시스코 살펴보기 구매 방법 파트너 홈 파트너 프로그램 지원 툴 Cisco 파트너 찾기 Cisco 파트너 소개 Cisco 파트너 되기 지원 및 다운로드 Worldwide - English Arabic - عربي Brazil - Português Canada - Français China - 简体中文 China - 繁體中文 (臺灣) Germany - Deutsch Italy - Italiano Japan - 日本語 Korea - 한국어 Latin America - Español Netherlands - Nederlands">Netherlands - Nederlands More... 제품 검색 유용한 링크 라이선싱 지원 기술 지원 Cisco 인수 지원 지원 툴 Cisco 커뮤니티 자동 완성 결과가 제공되는 경우 위/아래 화살표를 사용하여 검토 후 Enter를 눌러 선택하십시오. 내 지원 케이스 열기/보기 케이스를 열거나 보려면 활성 서비스 계약 (계약, 구독 또는 스마트 어카운트)이 있어야 합니다. 서비스 계약 Cisco Support Assistant TAC 케이스 등에서 즉시 업데이트 받기 미결 사례 보기 로그인 Cisco 계정 만들기 Cisco 계정 생성 시 혜택 소프트웨어 다운로드 로그인 Cisco 계정 만들기 Cisco 계정 생성 시 혜택 모든 소프트웨어 다운로드 최근에 본 제품 내 저장된 콘텐츠 로그인 이제 나중에 사용할 수 있도록 문서 및 기타 콘텐츠를 저장할 수 있습니다. 저장된 콘텐츠를 확인하려면 로그인 하십시오. 피드백 내 디바이스 내 디바이스 재고 목록을 보거나 관리하려면 로그인하십시오. 전화로 TAC에 문의 엔터프라이즈 및 서비스 프로바이더 제품 800-553-2447(미국/캐나다) 전 세계 전화번호 중소/중견 기업용 제품 866-606-1866(미국/캐나다) 전 세계 전화번호 리턴 리턴 포털 카테고리별 제품 스위치 보안 라우터 무선 통합 커뮤니케이션 네트워킹 소프트웨어(IOS & NX-OS) 협업 엔드포인트 및 전화기 참조: 모든 제품 | 기술 | 인수 상태 툴 보안 관련 권고 사항 Cisco Security 포털에서는 Cisco 제품 및 서비스와 타사 제품의 보안 위협 및 취약과 관련한 실행 가능 인텔리전스를 제공합니다. 분야별 알림 Cisco 제품과 직접적으로 관련이 있는 보안 취약점 관련 문제 이외의 모든 주요 문제를 확인할 수 있습니다. 이러한 문제를 해결하려면 대개 업그레이드나 문제 해결 과정을 진행하거나 고객이 기타 조치를 취해야 합니다. Cisco Cloud Status Cisco 클라우드 기반 Webex, 보안 및 사물 인터넷(IoT) 서비스와 관련한 서비스 및 구성 요소의 현재 상태를 확인할 수 있습니다. Cisco Support Assistant 추가 툴 Collaboration Solution Analyzer 협업 인프라의 일상 업무를 지원하는 데 도움이 되는 제품군입니다. Cisco CLI Analyzer Cisco CLI Analyzer(이전 명칭 ASA CLI Analyzer)는 내부 TAC 툴 및 지식 통합이 포함된 스마트 SSH 클라이언트입니다. Cisco 지원 소프트웨어의 전반적인 상태를 확인하고 문제를 해결하는 데 사용할 수 있습니다. 내 알림 알림을 통해 특정 Cisco 제품/기술과 관련된 Cisco 보안 관련 권고 사항, 단종 공지, 분야별 알림, 소프트웨어 및 버그 업데이트 알림 수신을 신청할 수 있습니다. 모든 툴 보기 추가 지원 파트너 지원 소규모 비즈니스 제품 지원 비즈니스 크리티컬 서비스 Customer Experience(고객 경험) DevNet 개발자 지원 Cisco Trust Portal Cisco 커뮤니티 Cisco 커뮤니티 홈 파트너 커뮤니티 소규모 비즈니스 지원 커뮤니티 Webex 커뮤니티 Customer Connection 프로그램 라이선스 기존 라이선싱 데모 라이선스를 포함하여 PAK 기반 및 기타 디바이스 라이선스를 생성 및 관리할 수 있습니다. Smart Software Licensing 스마트 소프트웨어 라이선스를 추적 및 관리할 수 있습니다. 엔터프라이즈 계약 엔터프라이즈 계약의 라이선스를 생성하고 관리할 수 있습니다. 라이선싱 지원 일반적인 라이선스 문제를 스스로 해결할 수 있습니다. 소프트웨어 및 다운로드 버그 검색 툴 제품 출시 정보 및 키워드를 기준으로 소프트웨어 버그를 찾을 수 있습니다. 소프트웨어 기술자료 지원되는 제품에 대한 Cisco의 제안을 확인할 수 있습니다. Cisco Software Checker Cisco Software Checker를 사용해 ACI 모드 소프트웨어 릴리스의 특정 Cisco IOS, IOS XE, NX-OS 및 NX-OS에 적용되는 Cisco 보안 권고를 검색할 수 있습니다. Cisco 소프트웨어 다운로드 Cisco 소프트웨어의 최신 업데이트, 패치 및 릴리스를 다운로드할 수 있습니다. | 2026-01-13T09:29:53 |
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https://www.cisco.com/c/en_au/solutions/industries/transportation.html | Connected Transportation - Cisco Skip to content Skip to search Skip to footer Cisco.com Australia / New Zealand Products and Services Solutions Support Learn Explore Cisco How to Buy Partners Home Partner Program Support Tools Find a Cisco Partner Meet our Partners Become a Cisco Partner Connected Transportation Improve safety, mobility, and operational efficiency. Watch video (5:04) Why Cisco for Transport Digital Transport Insight Series Cisco is helping Government and Transportation Operators world-wide to adopt a simple, secure and intelligent Digital Network Architecture (DNA) that will enable, transform and disrupt the industry. View episodes Transport for NSW Case Study Transport for NSW and Cisco partner to transform the future of transport Learn more Digital Transport Reference Model Taking an outside-in approach that starts at the edge Read Report Contact Cisco Get a call from Sales Contact Sales via Email Call Sales: 1800 134349 (AU) 0800 291129 (NZ) Webex 1800 493239 AU 0508 555607 NZ 8:30 AM to 5:00 PM AEDT Product / Technical Support Solutions Aviation Offer new services to passengers, workers, and tenants for greater mobility and collaboration. Maritime Offer efficient traffic management, cargo routing, and security for the world’s ports. Mass transit Track each fleet vehicle’s location, gain predictive maintenance capabilities, and offer uninterrupted Wi-Fi to passengers. Rail Improve operational efficiency, simplify maintenance, and provide Wi-Fi onboard trains, at the trackside, and in stations. Roadways Reduce traffic congestion and help save lives by providing safety and dynamic rerouting updates to travellers. Vehicles Improve the communications between vehicles and from vehicles to surrounding infrastructure, such as traffic signals. See how it all comes together Use the portfolio explorer to discover our solutions to see how you can use our technology for Transportation. Explore Roadways Portfolio Explore Rail and Mass Transit Portfolio Video - roadways and vehicles Learn how cars are connecting to the roadways, other vehicles, and surrounding infrastructure. Watch video (3:50) Achieve these outcomes today Safety Prevent accidents and collision-related deaths by providing safer travel alternatives. Security Prevent breaches that could jeopardize your operations. Operational efficiency Reduce human errors and update delays with automated software actions. Mobility Help people get from place to place easier and faster so they can be more productive. View related products View all IoT services What’s new Kinetic Begin to automate your operations by processing data and analytics at the edge. SFMTA Want high speed Wi-Fi onboard trains? Watch the video (2:23) OT and IT Security Secure your entire operations even with the growth of the IoT. Connected Roadways Learn to reduce traffic, save lives, and curtail carbon emissions. | 2026-01-13T09:29:53 |
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https://www.notion.com/id/customers | Notion Kisah Para Pelanggan 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 Cerita pelanggan Lihat cara perusahaan terkemuka menyederhanakan alur kerja, memadukan berbagai alat, dan menyatukan pengetahuan semua orang ke dalam satu ruang kerja yang terhubung. Ukuran perusahaan Aplikasi web Bagikan Daftar Aplikasi desktop Cari Pembaruan Pengaturan & Anggota Halaman baru Templat Impor Sampah Halaman baru Bagikan Mac Windows Apple App Store Google App Store Menggunakan Notion di tempat kerja? Minta demo 4:19 Unduh dari App Store Semua dokumen, database, tugas, dan proyek Anda. Berdampingan—bekerja sama. “ Jika orang-orang paling kreatif bisa menghabiskan lebih sedikit waktu untuk memikirkan ide, dan lebih banyak waktu merapikan ide yang sudah ada, dampak yang mereka ciptakan akan jauh lebih besar. Di situlah Notion berperan. ” Scott Belsky CPO of Adobe “ Notion benar-benar membawa perubahan besar bagi kami. Selama 15 tahun saya mencoba banyak alat manajemen isu, dan sejauh ini belum ada yang bisa menandingi kekuatannya. ” Chirag Patel CTO, Apploi “ Setiap hari terasa seperti kanvas baru yang bebas kami susun. Informasi pun bisa kami catat dengan berbagai cara yang paling relevan untuk kebutuhan saat itu. ” Alex Cornell Co-founder, Cocoon “ Fleksibilitasnya sungguh luar biasa. Pendekatan ini benar-benar mengubah cara Anda bekerja. Anda bisa membangun lapisan pengetahuan sedalam yang dibutuhkan. ” Marc Collado Product Manager, Ironhack “ Di tengah kompleksitas pekerjaan kami, Notion sangat membantu. Sebelumnya ada banyak duplikasi, tanpa satu sumber kebenaran yang jelas. ” Ben Malartic Product Manager, Privateaser “ Sekarang seluruh tim bisa selalu mengikuti perkembangan terbaru. Pendekatan ini membantu semua orang memiliki tingkat pemahaman yang tepat dan bergerak dengan kecepatan eksekusi kami. ” Justin Goff Product Manager, Duolingo “ Saat mengeksplorasi teknologi baru, Notion menjadi repositori informasi yang terstruktur bagi saya. Notion membantu saya mengatalogkan riset dan menjernihkan cara berpikir sebelum mengambil keputusan investasi. ” Chase Roberts Principal, Vertex Ventures “ Kami menghadapi masalah serius dengan wiki. Tidak ada satu tempat yang menjadi pusat semua informasi, dan semuanya tersebar berantakan. Notion kemudian menjadi wiki dan pusat pengetahuan utama kami. ” Kareem Shaya Engineering Manager, Makespace “ Notion begitu efektif hingga membuat masalah yang sangat kompleks terasa sederhana. ” Steve Huffman Co-founder & CEO, Reddit “ Bagi saya, Notion adalah tulang punggung pengetahuan perusahaan kami. Google Docs tidak mendukung hal itu karena sulit menavigasi banyak hal yang berlangsung sekaligus. Sekarang, Notion menjadi pusat pengetahuan dan manajemen proyek kami. ” Siqi Chen CEO, Sandbox VR “ Tim kami terpencar-pencar sehingga kami tidak bisa melakukan banyak rapat. Notion memberi kami semua informasi yang sama sehingga kami bisa terus bekerja. ” Marie Schneegans CEO, Workwell “ Kesederhanaan Notion mencerminkan upaya besar di baliknya. Mereka memahami bahwa satu alat dapat membantu menyelesaikan banyak masalah. ” Guillermo Rauch CEO, Vercel “ Kami menggunakan Notion di seluruh tim mulai dari Penjualan, Pemasaran, Produk, dan Engineering. Dengan satu alat, Notion dapat menggantikan Google, Trello, Dropbox Paper, Guru, dan Confluence. ” Guy Marion CEO, Brightback Aplikasi web Bagikan Daftar Aplikasi desktop Cari Pembaruan Pengaturan & Anggota Halaman baru Templat Impor Sampah Halaman baru Bagikan Mac Windows Apple App Store Google App Store Menggunakan Notion di tempat kerja? Minta demo 4:19 Unduh dari App Store 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 → | 2026-01-13T09:29:53 |
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https://www.cisco.com/c/en_au/solutions/industries/education.html | Cisco Education Solutions - Cisco Skip to content Skip to search Skip to footer Cisco.com Australia / New Zealand Products and Services Solutions Support Learn Explore Cisco How to Buy Partners Home Partner Program Support Tools Find a Cisco Partner Meet our Partners Become a Cisco Partner Solutions Industries Powering Inclusive Learning for All Cisco is committed to supporting you as you reimagine education for the future. Watch video (00:59) Contact Cisco Get a call from Sales Contact Sales via Email Call Sales: 1800 134349 (AU) 0800 291129 (NZ) Webex 1800 493239 AU 0508 555607 NZ 8:30 AM to 5:00 PM AEDT Product / Technical Support Between envisioning a better world and creating one, there's a bridge For over 20 years, Cisco's approach to teaching and learning has been empowering educators to take on new challenges. Pharrell Williams and Cisco unite To drive an inclusive future of learning, Cisco provides state-of-the-art technology centered around connectivity, collaboration, and security at Williams' school, YELLOWHAB. Watch the video (01:01) Read the press release Cisco is your trusted technology partner in education We securely connect educators, students, and administrators with transformative technologies that power inclusive learning for all. Create hybrid learning environments Build a flexible campus Streamline administration Facilitate safety and security Fuel innovative research See all solutions Funding and financing Meet education heroes By working with universities and schools around the world, Cisco is helping educators do extraordinary things during extraordinary times. Oak Meadow School (02:10) See how an independent school successfully moved from full remote learning to hybrid classrooms. Victoria University Learn how Victoria University utilized Cisco to create an advanced network platform. 2000 islands, 12 countries, 1 university The University of the South Pacific unites the dreams of its students onto a single, secure network. More customer stories Hear from our heroes Featured perspectives Transforming classrooms and campuses Hear from IDC on how to expand learning practices, improve access, and scale digital transformation. Securing the future of education Read the latest from IDC on how to create a safe and secure learning and teaching environment. Flexibility is key for teaching and learning Hear from IDC on how to enable online learning experiences that appeal to students of all ages. Make hybrid learning work for you Empower educators and students with a suite of flexible, supportive, and inclusive hybrid work tools. Build a secure learning environment for equal access, anywhere, anytime. Improve student experience Read the IDC Spotlight See the solutions in action The Future of education See how Cisco delivers the most inclusive hybrid learning experience via our hardware and software solutions. (02:25) Technology that moves education forward Learn about the leading technologies that can help you move education forward in times of unprecedented change. Create hybrid learning environments Cisco Webex for education Education organisations around the world trust Cisco No matter what goals you are trying to achieve, we can help build the bridge to get you there. Why Cisco National Industry Innovation Network (NIIN) The NIIN is a Cisco led alliance between industry and universities driven by one goal: to realise digital opportunities that can benefit the lives of all Australians Find out more Special offers for you Webex by Cisco Webex free trial Start a free trial of Webex for education. Security Cisco Secure promotions and free trials Test our security solutions before buying. Networking Cisco networking offers Use your network to enable hybrid work. Contact Us Technical Support | 2026-01-13T09:29:53 |
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Znajdź produkty i usługi najlepiej dopasowane do potrzeb Twojej firmy. Według technologii Według branży Zobacz wszystkie rozwiązania Usługi działu obsługi klienta Cisco Usługi doradcze Poradź się ekspertów czerpiących informacje z danych, aby projektować i optymalizować swoje środowisko IT. Pomoc dotycząca rozwiązań Eksperci wspierają w jednym miejscu całe środowisko rozwiązań Cisco korzystające z wielu produktów od wielu dostawców. Wsparcie produktów sprzętowych Zyskaj wsparcie techniczne oparte na wnioskach płynących z rozwiązania milionów zgłoszeń na całym świecie. Wsparcie oprogramowania Odblokuj pełen potencjał oprogramowania Cisco, zarówno lokalnie, jak i w chmurze. Pakiety usług W ramach naszych usług oferujemy ekspertyzę, informacje, szkolenia i wsparcie na naszej cyfrowej platformie CX Cloud. Usługi doradcze w ramach projektów Nasi eksperci pomagają w planowaniu, projektowaniu i wdrażaniu projektów nowych transformacji technologicznych. 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Today, the food is just as great Fiona Duncan 10 Jan 2026, 4:00pm Advertisement Tourists ‘put lives in danger’ by parking up side of mountain Police say some visitors trying to take Instagram photos of Snowdonia are behaving irresponsibly Tim Sigsworth 9 Jan 2026, 2:40pm The army of pylon zealots invading Welsh farms Energy firm’s surveyors accused of trampling across private land without permission in support of Labour’s net-zero drive Fiona Parker 8 Jan 2026, 10:37am Dylan Thomas’s early poems were plagiarised, publisher claims Welsh poet accused of ‘hoodwinking’ peers and family as a schoolboy with ‘wholesale’ theft of others’ work Tim Sigsworth 8 Jan 2026, 6:10am Headteacher felt ‘sheer terror’ being jailed after attacking love rival Anthony John Felton feared being ‘raped or beaten up’ at HMP Swansea where he served sentence for attempted GBH Tom McArdle 7 Jan 2026, 1:46pm Reform complains to BBC over TV audience ‘plant’ Woman in audience who criticised party’s candidate is now running for Plaid Cymru, its main opponent in Wales Amy Gibbons 7 Jan 2026, 9:57am Fake admiral told police: ‘I’ve been expecting you’ Former history teacher admits posing as Royal Navy officer at Remembrance Sunday memorial Telegraph Reporters 5 Jan 2026, 12:21pm Learner drivers swarm village for Britain’s ‘easiest’ test route Residents say their roads are ‘like an obstacle course’ with the influx of learners Tim Sigsworth 31 Dec 2025, 3:13pm One dead in New Year’s Eve house fire Police and fire service launch investigation after body found in burnt-out home in Glenboi, South Wales Telegraph Reporters 31 Dec 2025, 2:31pm Worst counties for earthquakes revealed... how does your home fare? Britain experienced an earthquake almost once a day on average this year Telegraph Reporters 29 Dec 2025, 7:00am Council chief’s son crashed car after cocaine binge Benedict Bramble, 24, criticised for ‘breathtaking arrogance’ in driving while high on drugs Telegraph Reporters 25 Dec 2025, 5:26pm Council tries to stop non-Welsh speakers moving to village Councillors say plans for new social housing units pose ‘danger to the language’ Tom McArdle 24 Dec 2025, 5:45pm Mystery over hundreds of Victorian shoes washed up on beach Boots may come from wreckage of Italian ship that sank 150 years ago Eric Williams 23 Dec 2025, 10:01pm Neighbours criticise ‘prison watchtower’ garden cabin Planning inspector rules that the structure must be torn down after rejecting the owner’s appeal Telegraph Reporters 20 Dec 2025, 1:15pm Advertisement Woman in love triangle plotted to kill husband and fake his suicide Wife and her lover are jailed after ‘cold and calculated’ conspiracy to murder husband Telegraph Reporters 19 Dec 2025, 2:54pm Wild geese ‘butchered for Christmas dinners’ Seventy birds shot and de-breasted, with remains being dumped, in incidents in Norfolk and Cambridgeshire Tom McArdle 19 Dec 2025, 1:36pm Pensioner arrested over farmhouse killings 32 years ago Police question 86-year-old suspect about deaths of Harry and Megan Tooze on Welsh farm in 1993 Will Bolton 17 Dec 2025, 1:27pm Police hunt for drug dealer who escaped from prison Public told not to approach Liam Wall who absconded from HMP Prescoed in south Wales on Sunday Tom McArdle 16 Dec 2025, 9:08am ‘Danger to life’ from heavy rain and flooding Met Office issues amber warning for parts of England and Wales, telling people to ‘keep yourself and others safe’ Telegraph Reporters 15 Dec 2025, 11:16am The 10 spectacular bridges everyone should cross in their lifetime From the medieval Ponte Vecchio in Florence to the Millau Viaduct in France, here are more to add to your bucket list Chris Moss 15 Dec 2025, 6:00am Salt Path writer denies ‘confessing’ she stole from her family Raynor Winn rejects claims she told her sister she ‘secretly’ took £25,000 from her husband’s parents to pay mortgage Robert White 14 Dec 2025, 4:47pm Three killed and another seriously injured in head-on crash Police appeal for witnesses after country road collision on England-Wales border Telegraph Reporters 12 Dec 2025, 1:44pm Ex-marine banned from coaching after calling Southport killer a ‘creature’ Safeguarding board claims children ‘at risk of harm’ following Jamie Michael’s comments on Axel Rudakubana Robert Mendick 11 Dec 2025, 7:21pm Britain’s 20 best restaurants with rooms These are the establishments with dishes worth touring the country for – plus some seriously smart bedrooms to boot Tabitha Joyce 11 Dec 2025, 5:01pm BBC presenter sent on speeding course after breaking 20mph limit Evan Davis praises training and says it should be ‘compulsory for everybody who drives’ Tom McArdle 11 Dec 2025, 1:53pm Army captain fined for rugby tackling ‘party groper’ Capt Alexander Caine says he was defending his girlfriend after she was ‘touched indecently’ on dance floor Samuel Montgomery 11 Dec 2025, 1:32pm Carjacker crashes into bush after near-miss with van Benjamin Griffiths stole car from a hospital in Wrexham, leaving the woman driver whom he pulled out vehicle in ‘total shock and disbelief’ Francesca Blake Greenslade 10 Dec 2025, 6:59pm Pagination Previous Next 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 | 2026-01-13T09:29:53 |
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https://www.cisco.com/c/en_au/solutions/collaboration/index.html | Business Collaboration Solutions - Cisco Skip to content Skip to search Skip to footer Cisco.com Australia / New Zealand Products and Services Solutions Support Learn Explore Cisco How to Buy Partners Home Partner Program Support Tools Find a Cisco Partner Meet our Partners Become a Cisco Partner Solutions Business Collaboration Solutions Connect, communicate, and collaborate securely and reliably. See what's possible Explore innovation Contact Cisco Get a call from Sales Contact Sales via Email Call Sales: 1800 134349 (AU) 0800 291129 (NZ) Webex 1800 493239 AU 0508 555607 NZ 8:30 AM to 5:00 PM AEDT Product / Technical Support Work the way you want from anywhere Keep your organisation connected with seamless collaboration across distributed teams. No matter where employees are located, organisations are seeking stronger employee engagement and customer experiences to enable more productivity and greater business agility. More effective collaboration helps organisations work smarter. Remote work The collaboration platform to enable remote working built to scale quickly and securely across your organisation. Return to office A safe return to the office and more intelligent workspaces for hybrid work from the desktop to shared workspaces. Remote agents A rapidly deployable cloud contact centre solution can have your agents working from home in as little as 5 days. Remote IT administration Manage, analyse, troubleshoot, and secure your collaboration devices and services across your organisation. More business resiliency ideas Technology that puts people and teams first Cognitive collaboration delivers personalised experiences for the modern workforce. Unified Communications Unify your voice, video, data, and mobile applications. The all new Webex Cisco Unified Communications Manager Cloud Calling Cisco Business Edition All UC products Contact Centre Satisfy customers with personalised omnichannel experiences. Webex Contact Centre Webex Contact Centre Enterprise Cisco Unified Contact Centre Express Cisco Unified Contact Centre Enterprise All contact centre products Conferencing Simplify teamwork with intuitive solutions that bring people together. Webex Meetings Webex Support Webex Events Meeting Server All conferencing products Collaboration Endpoints Award-winning devices make virtual collaboration even more lifelike. Business IP Phones Headsets Huddle spaces Webex Rooms All endpoint products See the platform advantage Control Hub Latest news and innovations Introducing the Webex Suite See how the Webex Suite provides the most seamless, engaging, intelligent and inclusive collaboration. People Insights Webex powers personal well-being, higher performing teams, and inclusive collaboration. 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https://openchainproject.org/news/2024/10/10/webinar-the-role-of-data-in-the-supply-chain-of-ai#ajax-content-wrap | Webinar: The Role of Data in the Supply Chain of AI – 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: The Role of Data in the Supply Chain of AI By Shane Coughlan 2024-10-10 ai , legal , licensing , News , Webinar No Comments To help you navigate the complexities of AI, data and the supply chain, Nick Schifano CEO and founder of FastCatalog.ai discussed the intersection of AI innovation and legal frameworks. With years of experience in IP law, standards, and AI/ML legal frameworks, Nick guided us through key considerations for managing the AI supply chain—focusing on how companies can prepare for and comply with new regulatory requirements. Webinar Highlights: ✔️ Insights into the hidden risks behind model lineage and training data in open-source AI models ✔️ Scenarios where data transparency becomes crucial for AI systems ✔️ Operational strategies to better manage AI and data supply chains ✔️ Preparing for the upcoming EU AI Act and its implications for companies Watch the Webinar Review the Slides About the Speaker: Nick Schifano is a leading expert in AI and legal frameworks. Before founding FastCatalog.ai , a company dedicated to revolutionizing AI supply chain management, Nick served as Assistant General Counsel at Microsoft, where he led groundbreaking initiatives in open innovation and AI/ML legal practices. With a technical foundation in software engineering and IT consulting, Nick brings a holistic view of both the technical and legal aspects of AI development. 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 2024-10-10. 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 | 2026-01-13T09:29:53 |
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https://www.linkedin.com/company/careplanai?trk=public_post_feed-actor-image | CarePlan AI | LinkedIn Skip to main content LinkedIn Top Content People Learning Jobs Games Sign in Register now CarePlan AI Software Development Fully Customizable AI-Powered Care & Service Management Platform Follow Discover all 2 employees Report this company About us CarePlan AI enables your team to spend more time on delivering services and less on administrative tasks through an AI Data Entry and Retrieval Assistant and a fully configurable web platform. Website www.careplanai.ca External link for CarePlan AI Industry Software Development Company size 2-10 employees Type Privately Held Founded 2025 Specialties AI Care Management, AI Service Delivery, Home and Community Care Technology, AI Data Entry & Retrieval, Care Plan Customization, Digital Health Solutions, Partner Management, Services Management, Electronic Health Records, AI-Driven Decision Support, Dynamic Geographical Mapping, and Visual Reporting Employees at CarePlan AI Marshall Dunn See all employees Updates CarePlan AI 73 followers 3d Report this post It was a privilege to partner with PHSS on this strategic redesign. We are thrilled to see the new website live and ready to help you better communicate your incredible mission and impact. Congratulations on the launch! 🚀💻 PHSS 1,273 followers 3d We’re excited to announce that our new PHSS website launched this morning. 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https://openchainproject.org/news/2024/07/18/webinar-iav-timetoact-and-iso-iec-5230-third-party-certification-case-study#slide-out-widget-area | Webinar: IAV, TimeToAct and ISO/IEC 5230 – Third-Party Certification Case Study – 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: IAV, TimeToAct and ISO/IEC 5230 – Third-Party Certification Case Study By Shane Coughlan 2024-07-18 legal , licensing , News , standards , Webinar No Comments IAV GmbH has announced adoption of ISO/IEC 5230:2020 via third-party certification provided by TimeToAct. Adjacent to this, IAV and TimeToAct has collaborated with the OpenChain Project on a webinar and case study about the certification rationale and process. This webinar digs into details on how, why and when decisions were made in the IAV adoption and use of ISO/IEC 5230. Get the Slides 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 2024-07-16. 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 | 2026-01-13T09:29:53 |
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https://openchainproject.org/news/2024/10/10/webinar-the-role-of-data-in-the-supply-chain-of-ai#searchbox | Webinar: The Role of Data in the Supply Chain of AI – 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: The Role of Data in the Supply Chain of AI By Shane Coughlan 2024-10-10 ai , legal , licensing , News , Webinar No Comments To help you navigate the complexities of AI, data and the supply chain, Nick Schifano CEO and founder of FastCatalog.ai discussed the intersection of AI innovation and legal frameworks. With years of experience in IP law, standards, and AI/ML legal frameworks, Nick guided us through key considerations for managing the AI supply chain—focusing on how companies can prepare for and comply with new regulatory requirements. Webinar Highlights: ✔️ Insights into the hidden risks behind model lineage and training data in open-source AI models ✔️ Scenarios where data transparency becomes crucial for AI systems ✔️ Operational strategies to better manage AI and data supply chains ✔️ Preparing for the upcoming EU AI Act and its implications for companies Watch the Webinar Review the Slides About the Speaker: Nick Schifano is a leading expert in AI and legal frameworks. Before founding FastCatalog.ai , a company dedicated to revolutionizing AI supply chain management, Nick served as Assistant General Counsel at Microsoft, where he led groundbreaking initiatives in open innovation and AI/ML legal practices. With a technical foundation in software engineering and IT consulting, Nick brings a holistic view of both the technical and legal aspects of AI development. 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 2024-10-10. 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 | 2026-01-13T09:29:53 |
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https://openchainproject.org/news/2024/07/18/webinar-iav-timetoact-and-iso-iec-5230-third-party-certification-case-study#searchbox | Webinar: IAV, TimeToAct and ISO/IEC 5230 – Third-Party Certification Case Study – 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: IAV, TimeToAct and ISO/IEC 5230 – Third-Party Certification Case Study By Shane Coughlan 2024-07-18 legal , licensing , News , standards , Webinar No Comments IAV GmbH has announced adoption of ISO/IEC 5230:2020 via third-party certification provided by TimeToAct. Adjacent to this, IAV and TimeToAct has collaborated with the OpenChain Project on a webinar and case study about the certification rationale and process. This webinar digs into details on how, why and when decisions were made in the IAV adoption and use of ISO/IEC 5230. Get the Slides 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 2024-07-16. 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 | 2026-01-13T09:29:53 |
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https://aws.amazon.com/blogs/storage/category/storage/amazon-simple-storage-services-s3/ | Amazon Simple Storage Service (S3) | AWS Storage Blog Skip to Main Content Filter: All English Contact us AWS Marketplace Support My account Search Filter: All Sign in to console Create account AWS Blogs Home Blogs Editions AWS Storage Blog Category: Amazon Simple Storage Service (S3) Automated extraction of compressed files on Amazon S3 using AWS Batch and Amazon ECS by Shirin Bano and Pratik Jain on 18 DEC 2025 in Amazon Elastic Block Store (Amazon EBS) , Amazon EventBridge , Amazon Simple Storage Service (S3) , AWS Batch , Intermediate (200) , Technical How-to Permalink Comments Share Organizations frequently upload compressed TAR files to Amazon S3 for efficient data transfer, but downstream applications often need extracted files for processing. Although AWS Glue excels at processing splittable files across worker nodes, TAR files need single-node processing, traditionally forcing teams to manually provision servers, monitor extraction jobs, and manage resource cleanup. This post demonstrates […] Architecting high performance AI-driven data applications with Spice AI and AWS by Mustafa Duzok , Ishara Premadasa , Sudha Vijayakumar , and Wyatt Wenzel on 15 DEC 2025 in Amazon S3 Tables , Amazon Simple Storage Service (S3) , Artificial Intelligence , Expert (400) , Learning Levels , Partner solutions , Storage , Technical How-to Permalink Comments Share As enterprises scale their adoption of generative AI, one of the biggest technical challenges is connecting AI applications to the right data and making that data fast, accessible, and secure. AI agents are transforming industries through applications like customer support automation, personalized e-commerce recommendations, and research assistance in financial services and healthcare. These applications require […] Building an open warehouse architecture: Supabase’s integration with Amazon S3 Tables by Riccardo Busetti , Andrew (Qingjie) Ren , Ameen Khan , Fabien Gaud , and Pritesh Patel on 15 DEC 2025 in Advanced (300) , Amazon Athena , Amazon EMR , Amazon Redshift , Amazon S3 Tables , Amazon Simple Storage Service (S3) , AWS Key Management Service , Customer Solutions , Open Source Permalink Comments Share As applications scale, developers face a persistent challenge: analytical queries that slow down transactional databases, force them to copy data across multiple proprietary tools, and create disconnected data silos. For the 5 million developers building on Supabase, an open source Postgres development platform, this tension between operational and analytical workloads has become increasingly critical. The […] Lower your Amazon S3 backup costs with AWS Backup S3 tiering by Stuart Lupton and Sravan Rachiraju on 26 NOV 2025 in Advanced (300) , Amazon Simple Storage Service (S3) , AWS Backup , Best Practices , Cloud Cost Optimization , Storage , Technical How-to Permalink Comments Share Organizations face a critical challenge in data protection: how to retain ever-increasing volumes of backup data for extended periods while maintaining cost efficiency. Regulatory mandates, internal governance policies, and comprehensive disaster recovery strategies often necessitate preserving backups for months or even years. At the same time, the threat landscape continues to evolve, with sophisticated ransomware […] Advanced notice: Amazon S3 to disable the use of SSE-C encryption by default for all new buckets and select existing buckets in April 2026 by Will Cavin on 19 NOV 2025 in Amazon Simple Storage Service (S3) , Announcements , AWS CloudFormation , AWS CloudTrail , AWS Identity and Access Management (IAM) , AWS Key Management Service , Intermediate (200) Permalink Comments Share Starting on April 6, 2026, we will be changing how server-side encryption with customer-provided keys (SSE-C) is enabled for Amazon S3 buckets. With this change, SSE-C will be disabled by default on all new S3 general purpose buckets. Furthermore, SSE-C will also be disabled for all existing buckets in Amazon Web Services (AWS) Accounts that […] How to use Amazon S3 Multi-Region Access Points to streamline and reduce the cost of writing across AWS Regions by Sang Kong , Aritra Gupta , Jeff Martin , Paul Davidson , Davide Romani , and Dimpy Chhabra on 17 NOV 2025 in Advanced (300) , Amazon EC2 , Amazon Simple Storage Service (S3) , Amazon VPC , AWS Global Accelerator , AWS Identity and Access Management (IAM) , AWS Transit Gateway , Technical How-to Permalink Comments Share Large global organizations often struggle to efficiently manage data copies across different geographic regions when using distributed object storage services. Although several approaches exist for cross-region data writing, common solutions such as data replication or streaming can be costly and introduce latency issues. Many customers have core services deployed globally across multiple Amazon Web Services […] Automated cost-effective archiving and on-demand data restoration by Pradip Kumar Pandey and Pratap Nanda on 17 NOV 2025 in Advanced (300) , Amazon Simple Storage Service (S3) , Customer Solutions , Experience-Based Acceleration , Serverless , Storage , Technical How-to Permalink Comments Share Organizations across industries need automated cost-effective archiving and on-demand data restoration solutions to manage explosive data growth driven by digital transformation, regulatory compliance, and operational insights. This data—often stored as unstructured files—is frequently retained for extended periods to meet internal, legal, or analytical requirements. As storage volumes grow into the petabyte range, businesses face a […] Build intelligent ETL pipelines using AWS Model Context Protocol and Amazon Q by Avijit Goswami and Ajit Tandale on 03 NOV 2025 in Advanced (300) , Amazon EMR , Amazon Managed Workflows for Apache Airflow (Amazon MWAA) , Amazon Q , Amazon Redshift , Amazon S3 Tables , Amazon Simple Storage Service (S3) , AWS CLI , AWS Glue , AWS Identity and Access Management (IAM) , Technical How-to Permalink Comments Share Data scientists and engineers spend hours writing complex data pipelines to extract, transform, and load (ETL) data from various sources into their data lakes for data integration and creating unified data models to build business insights. The process involves understanding the source and target systems, discovering schemas, mapping source and target, writing and testing ETL […] Optimizing recommendations and analytics using Amazon DynamoDB and Amazon S3 by Sidhanth Muralidhar , Ranjan Dhar , Nishant Jain , and Meenal Sharma on 21 OCT 2025 in Advanced (300) , Amazon Athena , Amazon Bedrock , Amazon DynamoDB , Amazon EMR , Amazon Redshift , Amazon SageMaker Unified Studio , Amazon Simple Storage Service (S3) , AWS Glue , Technical How-to Permalink Comments Share Today, consumers navigate thousands of products on e-commerce sites, hundreds of shows on streaming platforms, and countless options in digital marketplaces. This choice overload creates decision fatigue, yet consumers continue to demand more variety and make more purchases online. As a result, personalization has become essential—consumers reward brands that deliver relevant, tailored online experiences. However, […] Cross-account Amazon S3 bulk transfers with enhanced AWS KMS support by Abhishek Shukla and Ezat Karimi on 20 OCT 2025 in Advanced (300) , Amazon Simple Storage Service (S3) , AWS Key Management Service , Storage , Technical How-to Permalink Comments Share Cross-account Amazon S3 bulk transfers with enhanced AWS Key Management Service (AWS KMS) support become increasingly critical as organizations grow and accumulate vast amounts of digital assets across their enterprise. Managing millions or even billions of files presents unique challenges, especially when these files need to be moved securely between different AWS accounts. Operations such […] ← Older posts {"data":{"items":[{"fields":{"footer":"{\n \"createAccountButtonLabel\": \"Create an AWS account\",\n \"createAccountButtonURL\": \"https://portal.aws.amazon.com/gp/aws/developer/registration/index.html?nc1=f_ct&src=footer_signup\",\n \"backToTopText\": \"Back to top\",\n \"eoeText\": \"Amazon is an Equal Opportunity Employer: Minority / Women / Disability / Veteran / Gender Identity / Sexual Orientation / Age.\",\n \"copyrightText\": \"© 2025, Amazon Web Services, Inc. or its affiliates. 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https://openchainproject.org/?p=16285#ajax-content-wrap | Webinar: Unlocking Potential – Case Study on ZF’s ISO/IEC 5230 Third-Party Certification with TIMETOACT – 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: Unlocking Potential – Case Study on ZF’s ISO/IEC 5230 Third-Party Certification with TIMETOACT By Shane Coughlan 2025-07-31 community , legal , licensing , News , standards , Webinar No Comments The OpenChain Project held a webinar on the 29th of July 2025 to provide a case study on how ZF – one of the world’s largest automotive suppliers – collaborated with TIMETOACT to obtain third-party certification for OpenChain ISO/IEC 5230. Abstract: This case study is suitable for organizations new to the OpenChain standards, organizations in the process of adopting the standards, or organizations reviewing how others met this milestone in open source process management. It will be structured as a series of short section presentations that provide: A brief introduction to ISO/IEC 5230 The importance of ISO/IEC in the automotive industry ZF’s certification journey Forming an OSPO Steps taken to accomplish ISO/IEC 5230 certification Challenges faced Role of TIMETOACT in the certification process Gap analysis with TIMETOACT and ZF How ZF used OpenChain and InnerSource Commons resources Lessons learned Closing thoughts 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 2025-07-29. 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 | 2026-01-13T09:29:53 |
https://ai.google.dev/api/interactions-api?hl=fr | Gemini API | Google AI for Developers Passer au contenu principal / 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 Obtenir une clé API Liste de recettes Communauté Connexion Docs Documentation de référence de l'API Gemini API Docs Documentation de référence de l'API Obtenir une clé API Liste de recettes Communauté Aperçu Versions de l'API Capacités Modèles Génération de contenu... API Live API Live Music API Interactions Jetons Fichiers API Batch Mise en cache Embeddings Recherche de fichiers Magasins de recherche de fichiers Document Toutes les méthodes Obsolète PaLM (supprimé) Références du SDK Python Go TypeScript Java C# Accueil Gemini API Documentation de référence de l'API Envoyer des commentaires Gemini API L'API Gemini Interactions est une API expérimentale qui permet aux développeurs de créer des applications d'IA générative à l'aide des modèles Gemini. Gemini est notre modèle le plus performant, entièrement conçu pour être multimodal. Il peut généraliser, comprendre avec fluidité, traiter et combiner différents supports d'informations, dont le texte, le code, l'audio, l'image et la vidéo. Vous pouvez utiliser l'API Gemini pour des cas d'utilisation tels que le raisonnement sur du texte et des images, la génération de contenu, les agents de dialogue, les systèmes de synthèse et de classification, et plus encore. Afficher au format Markdown Afficher la spécification OpenAPI Créer une interaction post https://generativelanguage.googleapis.com/v1beta/interactions Crée une interaction. Corps de la requête Réponse Corps de la requête Le corps de la requête contient des données présentant la structure suivante : model ModelOption (facultatif) Nom du `Model` utilisé pour générer l'interaction. Obligatoire si l'attribut "agent" n'est pas fourni. Valeurs possibles : gemini-2.5-pro Notre modèle polyvalent de pointe, qui excelle dans les tâches de codage et de raisonnement complexes. gemini-2.5-flash Notre premier modèle de raisonnement hybride, qui accepte une fenêtre de contexte d'un million de jetons et dispose de budgets de réflexion. gemini-2.5-flash-preview-09-2025 Dernier modèle basé sur le modèle 2.5 Flash. 2.5 Flash Preview est idéal pour les tâches de traitement à grande échelle, à faible latence et à volume élevé qui nécessitent une réflexion, ainsi que pour les cas d'utilisation agentiques. gemini-2.5-flash-lite Notre modèle le plus petit et le plus économique, conçu pour une utilisation à grande échelle. gemini-2.5-flash-lite-preview-09-2025 Dernier modèle basé sur Gemini 2.5 Flash-Lite, optimisé pour la rentabilité, le débit élevé et la qualité élevée. gemini-2.5-flash-preview-native-audio-dialog Nos modèles audio natifs sont optimisés pour des sorties audio de meilleure qualité, avec un rythme, une voix, une verbosité et une humeur plus naturels. gemini-2.5-flash-image-preview Notre modèle natif de génération d'images, optimisé pour la vitesse, la flexibilité et la compréhension contextuelle. Les entrées et sorties de texte sont facturées au même prix que Gemini 2.5 Flash. gemini-2.5-pro-preview-tts Notre modèle audio de synthèse vocale 2.5 Pro est optimisé pour générer des voix puissantes et à faible latence, afin d'obtenir des résultats plus naturels et des requêtes plus faciles à orienter. gemini-3-pro-preview Notre modèle le plus intelligent, doté de capacités de raisonnement et de compréhension multimodale de pointe, ainsi que de puissantes fonctionnalités de vibe coding et agentiques. Modèle qui complétera votre requête.\n\nPour en savoir plus, consultez [modèles](https://ai.google.dev/gemini-api/docs/models). agent AgentOption (facultatif) Nom de l'agent utilisé pour générer l'interaction. Obligatoire si `model` n'est pas fourni. Valeurs possibles : deep-research-pro-preview-12-2025 Agent Gemini Deep Research Agent avec lequel interagir. input Content ou tableau ( Content ) ou tableau ( Turn ) ou chaîne (obligatoire) Entrées de l'interaction (communes au modèle et à l'agent). system_instruction string (facultatif) Instruction système pour l'interaction. tools array ( Tool ) (facultatif) Liste des déclarations d'outils que le modèle peut appeler lors de l'interaction. response_format object (facultatif) Force la réponse générée à être un objet JSON conforme au schéma JSON spécifié dans ce champ. response_mime_type string (facultatif) Type MIME de la réponse. Obligatoire si response_format est défini. stream boolean (facultatif) Uniquement en entrée. Indique si l'interaction sera diffusée en streaming. store boolean (facultatif) Uniquement en entrée. Indique si la réponse et la requête doivent être stockées pour être récupérées ultérieurement. background boolean (facultatif) Indique si l'interaction du modèle doit s'exécuter en arrière-plan. generation_config GenerationConfig (facultatif) Configuration du modèle : paramètres de configuration pour l'interaction avec le modèle. Alternative à `agent_config`. Ne s'applique que lorsque `model` est défini. Paramètres de configuration pour les interactions avec le modèle. Champs temperature number (facultatif) Contrôle le caractère aléatoire de la sortie. top_p number (facultatif) Probabilité cumulée maximale des jetons à prendre en compte lors de l'échantillonnage. seed integer (facultatif) Graine utilisée dans le décodage pour la reproductibilité. stop_sequences array (string) (optional) Liste des séquences de caractères qui arrêteront l'interaction de sortie. tool_choice ToolChoice (facultatif) Choix de l'outil pour l'interaction. Configuration du choix de l'outil. Types possibles ToolChoiceType Ce type ne comporte aucun champ spécifique. ToolChoiceConfig allowed_tools AllowedTools (facultatif) Aucune description fournie. Configuration des outils autorisés. Champs mode ToolChoiceType (facultatif) Mode de choix de l'outil. Valeurs possibles : auto any none validated tools array (string) (facultatif) Noms des outils autorisés. thinking_level ThinkingLevel (facultatif) Niveau de jetons de réflexion que le modèle doit générer. Valeurs possibles : low high thinking_summaries ThinkingSummaries (facultatif) Indique si la réponse doit inclure des résumés de la réflexion. Valeurs possibles : auto none max_output_tokens integer (facultatif) Nombre maximal de jetons à inclure dans la réponse. speech_config SpeechConfig (facultatif) Configuration pour l'interaction vocale. Configuration de l'interaction vocale. Champs voice string (facultatif) La voix de l'orateur. language string (facultatif) Langue du discours. speaker string (facultatif) Nom de l'intervenant. Il doit correspondre à celui indiqué dans la requête. agent_config object (facultatif) Configuration de l'agent Configuration de l'agent. Alternative à `generation_config`. Ne s'applique que lorsque `agent` est défini. Types possibles Discriminant polymorphe : type DynamicAgentConfig Configuration des agents dynamiques. type string (facultatif) Utilisé comme discriminant de type OpenAPI pour le contenu oneof. Toujours défini sur "dynamic" . DeepResearchAgentConfig Configuration de l'agent Deep Research. type string (facultatif) Utilisé comme discriminant de type OpenAPI pour le contenu oneof. Toujours défini sur "deep-research" . thinking_summaries ThinkingSummaries (facultatif) Indique si la réponse doit inclure des résumés de la réflexion. Valeurs possibles : auto none previous_interaction_id string (facultatif) ID de l'interaction précédente, le cas échéant. response_modalities ResponseModality (facultatif) Modalités de réponse demandées (TEXT, IMAGE, AUDIO). Valeurs possibles : text image audio Réponse Renvoie une ressource Interaction . Demande simple Exemple de réponse { "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 } } Multitours Exemple de réponse { "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 } } Image d'entrée Exemple de réponse { "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 } } Appel de fonction Exemple de réponse { "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 Exemple de réponse { "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 } } Récupérer une interaction get https://generativelanguage.googleapis.com/v1beta/interactions/{id} Récupère tous les détails d'une interaction en fonction de son `Interaction.id`. Paramètres de chemin d'accès / de requête Réponse Paramètres de chemin / de requête id chaîne (obligatoire) Identifiant unique de l'interaction à récupérer. stream boolean (facultatif) Si la valeur est définie sur "true", le contenu généré sera diffusé de manière incrémentielle. Valeur par défaut : False last_event_id string (facultatif) Facultatif. Si cette option est définie, le flux d'interaction reprend à partir du prochain bloc après l'événement marqué par l'ID d'événement. Ne peut être utilisé que si "stream" est défini sur "true". api_version string (facultatif) Version de l'API à utiliser. Réponse Renvoie une ressource Interaction . Obtenir une interaction Exemple de réponse { "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?" } ] } Supprimer une interaction delete https://generativelanguage.googleapis.com/v1beta/interactions/{id} Supprime l'interaction par ID. Paramètres de chemin d'accès / de requête Réponse Paramètres de chemin / de requête id chaîne (obligatoire) Identifiant unique de l'interaction à supprimer. api_version string (facultatif) Version de l'API à utiliser. Réponse Si l'opération réussit, la réponse est vide. Supprimer une interaction Annuler une interaction post https://generativelanguage.googleapis.com/v1beta/interactions/{id}/cancel Annule une interaction par ID. Cela ne s'applique qu'aux interactions en arrière-plan qui sont toujours en cours d'exécution. Paramètres de chemin d'accès / de requête Réponse Paramètres de chemin / de requête id chaîne (obligatoire) Identifiant unique de l'interaction à récupérer. api_version string (facultatif) Version de l'API à utiliser. Réponse Renvoie une ressource Interaction . Annuler l'interaction Exemple de réponse { "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" } Ressources Interaction Ressource Interaction. Champs model ModelOption (facultatif) Nom du `Model` utilisé pour générer l'interaction. Valeurs possibles : gemini-2.5-pro Notre modèle polyvalent de pointe, qui excelle dans les tâches de codage et de raisonnement complexes. gemini-2.5-flash Notre premier modèle de raisonnement hybride, qui accepte une fenêtre de contexte d'un million de jetons et dispose de budgets de réflexion. gemini-2.5-flash-preview-09-2025 Dernier modèle basé sur le modèle 2.5 Flash. 2.5 Flash Preview est idéal pour les tâches de traitement à grande échelle, à faible latence et à volume élevé qui nécessitent une réflexion, ainsi que pour les cas d'utilisation agentiques. gemini-2.5-flash-lite Notre modèle le plus petit et le plus économique, conçu pour une utilisation à grande échelle. gemini-2.5-flash-lite-preview-09-2025 Dernier modèle basé sur Gemini 2.5 Flash-Lite, optimisé pour la rentabilité, le débit élevé et la qualité élevée. gemini-2.5-flash-preview-native-audio-dialog Nos modèles audio natifs sont optimisés pour des sorties audio de meilleure qualité, avec un rythme, une voix, une verbosité et une humeur plus naturels. gemini-2.5-flash-image-preview Notre modèle natif de génération d'images, optimisé pour la vitesse, la flexibilité et la compréhension contextuelle. Les entrées et sorties de texte sont facturées au même prix que Gemini 2.5 Flash. gemini-2.5-pro-preview-tts Notre modèle audio de synthèse vocale 2.5 Pro est optimisé pour générer des voix puissantes et à faible latence, afin d'obtenir des résultats plus naturels et des requêtes plus faciles à orienter. gemini-3-pro-preview Notre modèle le plus intelligent, doté de capacités de raisonnement et de compréhension multimodale de pointe, ainsi que de puissantes fonctionnalités de vibe coding et agentiques. Modèle qui complétera votre requête.\n\nPour en savoir plus, consultez [modèles](https://ai.google.dev/gemini-api/docs/models). agent AgentOption (facultatif) Nom de l'agent utilisé pour générer l'interaction. Valeurs possibles : deep-research-pro-preview-12-2025 Agent Gemini Deep Research Agent avec lequel interagir. id chaîne (facultatif) Uniquement en sortie. Identifiant unique de la fin de l'interaction. status enum (string) (facultatif) Uniquement en sortie. État de l'interaction. Valeurs possibles : in_progress requires_action completed failed cancelled created string (facultatif) Uniquement en sortie. Heure à laquelle la réponse a été créée, au format ISO 8601 (AAAA-MM-JJThh:mm:ssZ). updated string (facultatif) Uniquement en sortie. Heure à laquelle la réponse a été mise à jour pour la dernière fois au format ISO 8601 (AAAA-MM-JJThh:mm:ssZ). role string (facultatif) Uniquement en sortie. Rôle de l'interaction. outputs array ( Content ) (facultatif) Uniquement en sortie. Réponses du modèle. objet chaîne (facultatif) Uniquement en sortie. Type d'objet de l'interaction. Toujours défini sur "interaction". Toujours défini sur "interaction" . usage Usage (facultatif) Uniquement en sortie. Statistiques sur l'utilisation des jetons de la demande d'interaction. Statistiques sur l'utilisation des jetons de la demande d'interaction. Champs total_input_tokens integer (optional) Nombre de jetons dans l'invite (contexte). input_tokens_by_modality ModalityTokens (facultatif) Répartition de l'utilisation des jetons d'entrée par modalité. Nombre de jetons pour une seule modalité de réponse. Champs modality ResponseModality (facultatif) Modalité associée au nombre de jetons. Valeurs possibles : text image audio tokens integer (facultatif) Nombre de jetons pour la modalité. total_cached_tokens integer (optional) Nombre de jetons dans la partie mise en cache de la requête (le contenu mis en cache). cached_tokens_by_modality ModalityTokens (facultatif) Répartition de l'utilisation des jetons mis en cache par modalité. Nombre de jetons pour une seule modalité de réponse. Champs modality ResponseModality (facultatif) Modalité associée au nombre de jetons. Valeurs possibles : text image audio tokens integer (facultatif) Nombre de jetons pour la modalité. total_output_tokens integer (facultatif) Nombre total de jetons dans toutes les réponses générées. output_tokens_by_modality ModalityTokens (facultatif) Répartition de l'utilisation des jetons de sortie par modalité. Nombre de jetons pour une seule modalité de réponse. Champs modality ResponseModality (facultatif) Modalité associée au nombre de jetons. Valeurs possibles : text image audio tokens integer (facultatif) Nombre de jetons pour la modalité. total_tool_use_tokens integer (optional) Nombre de jetons présents dans la ou les invites d'utilisation d'outils. tool_use_tokens_by_modality ModalityTokens (facultatif) Répartition de l'utilisation des jetons d'utilisation des outils par modalité. Nombre de jetons pour une seule modalité de réponse. Champs modality ResponseModality (facultatif) Modalité associée au nombre de jetons. Valeurs possibles : text image audio tokens integer (facultatif) Nombre de jetons pour la modalité. total_reasoning_tokens integer (optional) Nombre de jetons de pensées pour les modèles à raisonnement. total_tokens integer (optional) Nombre total de jetons pour la requête d'interaction (requête + réponses + autres jetons internes). previous_interaction_id string (facultatif) ID de l'interaction précédente, le cas échéant. Exemples Exemple { "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 } } Modèles de données Contenu Contenu de la réponse. Types possibles Discriminant polymorphe : type TextContent Bloc de contenu textuel. text string (facultatif) Contenu textuel. type string (obligatoire) Utilisé comme discriminant de type OpenAPI pour le contenu oneof. Toujours défini sur "text" . annotations Annotation (optional) Informations de citation pour le contenu généré par le modèle. Informations de citation pour le contenu généré par le modèle. Champs start_index integer (facultatif) Début du segment de la réponse attribué à cette source. L'index indique le début du segment, mesuré en octets. end_index integer (facultatif) Fin du segment attribué (exclusif). source string (facultatif) Source attribuée à une partie du texte. Il peut s'agir d'une URL, d'un titre ou d'un autre identifiant. ImageContent Bloc de contenu d'image. data string (facultatif) Aucune description fournie. uri string (facultatif) Aucune description fournie. mime_type ImageMimeTypeOption (facultatif) Aucune description fournie. Valeurs possibles : image/png image/jpeg image/webp image/heic image/heif Type MIME de l'image. type chaîne (obligatoire) Utilisé comme discriminant de type OpenAPI pour le contenu oneof. Toujours défini sur "image" . resolution MediaResolution (optional) Résolution du contenu multimédia. Valeurs possibles : low medium high AudioContent Bloc de contenu audio. data string (facultatif) Aucune description fournie. uri string (facultatif) Aucune description fournie. mime_type AudioMimeTypeOption (facultatif) Aucune description fournie. Valeurs possibles : audio/wav audio/mp3 audio/aiff audio/aac audio/ogg audio/flac Type MIME du contenu audio. type string (obligatoire) Utilisé comme discriminant de type OpenAPI pour le contenu oneof. Toujours défini sur "audio" . DocumentContent Bloc de contenu d'un document. data string (facultatif) Aucune description fournie. uri string (facultatif) Aucune description fournie. mime_type string (facultatif) Aucune description fournie. type string (obligatoire) Utilisé comme discriminant de type OpenAPI pour le contenu oneof. Toujours défini sur "document" . VideoContent Bloc de contenu vidéo. data string (facultatif) Aucune description fournie. uri string (facultatif) Aucune description fournie. mime_type VideoMimeTypeOption (facultatif) Aucune description fournie. Valeurs possibles : video/mp4 video/mpeg video/mov video/avi video/x-flv video/mpg video/webm video/wmv video/3gpp Type MIME de la vidéo. type chaîne (obligatoire) Utilisé comme discriminant de type OpenAPI pour le contenu oneof. Toujours défini sur "video" . resolution MediaResolution (optional) Résolution du contenu multimédia. Valeurs possibles : low medium high ThoughtContent Bloc de contenu de réflexion. signature string (facultatif) Signature permettant de faire correspondre la source du backend à inclure dans la génération. type chaîne (obligatoire) Utilisé comme discriminant de type OpenAPI pour le contenu oneof. Toujours défini sur "thought" . summary ThoughtSummary (facultatif) Un résumé de la pensée. Un résumé de la pensée. FunctionCallContent Bloc de contenu d'appel d'outil de fonction. name string (obligatoire) Nom de l'outil à appeler. arguments object (obligatoire) Arguments à transmettre à la fonction. type chaîne (obligatoire) Utilisé comme discriminant de type OpenAPI pour le contenu oneof. Toujours défini sur "function_call" . id chaîne (obligatoire) ID unique pour cet appel d'outil spécifique. FunctionResultContent Bloc de contenu de résultat d'outil de fonction. name string (facultatif) Nom de l'outil appelé. is_error boolean (facultatif) Indique si l'appel d'outil a entraîné une erreur. type chaîne (obligatoire) Utilisé comme discriminant de type OpenAPI pour le contenu oneof. Toujours défini sur "function_result" . result objet ou chaîne (obligatoire) Résultat de l'appel d'outil. call_id string (obligatoire) ID correspondant à l'ID du bloc d'appel de fonction. CodeExecutionCallContent Contenu d'exécution de code. arguments CodeExecutionCallArguments (facultatif) Arguments à transmettre à l'exécution du code. Arguments à transmettre à l'exécution du code. Champs language enum (string) (facultatif) Langage de programmation du code. Valeurs possibles : python code string (facultatif) Code à exécuter. type chaîne (obligatoire) Utilisé comme discriminant de type OpenAPI pour le contenu oneof. Toujours défini sur "code_execution_call" . id chaîne (facultatif) ID unique pour cet appel d'outil spécifique. CodeExecutionResultContent Contenu du résultat de l'exécution du code. result string (facultatif) Sortie de l'exécution du code. is_error boolean (facultatif) Indique si l'exécution du code a entraîné une erreur. signature string (facultatif) Hachage de signature pour la validation du backend. type string (obligatoire) Utilisé comme discriminant de type OpenAPI pour le contenu oneof. Toujours défini sur "code_execution_result" . call_id string (facultatif) ID correspondant à celui du bloc d'appel d'exécution du code. UrlContextCallContent Contenu du contexte de l'URL. arguments UrlContextCallArguments (facultatif) Arguments à transmettre au contexte de l'URL. Arguments à transmettre au contexte de l'URL. Champs urls array (string) (optional) URL à récupérer. type string (obligatoire) Utilisé comme discriminant de type OpenAPI pour le contenu oneof. Toujours défini sur "url_context_call" . id chaîne (facultatif) ID unique pour cet appel d'outil spécifique. UrlContextResultContent Contenu du résultat du contexte de l'URL. signature string (facultatif) Signature du résultat du contexte de l'URL. result UrlContextResult (facultatif) Résultats du contexte de l'URL. Résultat du contexte de l'URL. Champs url string (optional) URL récupérée. status enum (string) (facultatif) État de la récupération de l'URL. Valeurs possibles : success error paywall unsafe is_error boolean (facultatif) Indique si le contexte de l'URL a entraîné une erreur. type string (obligatoire) Utilisé comme discriminant de type OpenAPI pour le contenu oneof. Toujours défini sur "url_context_result" . call_id string (facultatif) ID correspondant à l'ID du bloc d'appel de contexte d'URL. GoogleSearchCallContent Contenu de la recherche Google. arguments GoogleSearchCallArguments (facultatif) Arguments à transmettre à la recherche Google. Arguments à transmettre à la recherche Google. Champs queries array (string) (facultatif) Requêtes de recherche sur le Web pour la recherche sur le Web de suivi. type string (obligatoire) Utilisé comme discriminant de type OpenAPI pour le contenu oneof. Toujours défini sur "google_search_call" . id chaîne (facultatif) ID unique pour cet appel d'outil spécifique. GoogleSearchResultContent Contenu des résultats de recherche Google. signature string (facultatif) Signature du résultat de recherche Google. result GoogleSearchResult (facultatif) Résultats de la recherche Google. Résultat de la recherche Google. Champs url string (optional) Référence URI du résultat de recherche. title string (facultatif) Titre du résultat de recherche. rendered_content string (facultatif) Extrait de contenu Web pouvant être intégré à une page Web ou à une WebView d'application. is_error boolean (facultatif) Indique si la recherche Google a généré une erreur. type chaîne (obligatoire) Utilisé comme discriminant de type OpenAPI pour le contenu oneof. Toujours défini sur "google_search_result" . call_id string (facultatif) ID correspondant à l'ID du bloc d'appel de la recherche Google. McpServerToolCallContent Contenu de l'appel d'outil MCPServer. name string (obligatoire) Nom de l'outil appelé. server_name string (required) Nom du serveur MCP utilisé. arguments object (obligatoire) Objet JSON des arguments de la fonction. type chaîne (obligatoire) Utilisé comme discriminant de type OpenAPI pour le contenu oneof. Toujours défini sur "mcp_server_tool_call" . id chaîne (obligatoire) ID unique pour cet appel d'outil spécifique. McpServerToolResultContent Contenu du résultat de l'outil MCPServer. name string (facultatif) Nom de l'outil appelé pour cet appel d'outil spécifique. server_name string (facultatif) Nom du serveur MCP utilisé. type chaîne (obligatoire) Utilisé comme discriminant de type OpenAPI pour le contenu oneof. Toujours défini sur "mcp_server_tool_result" . result objet ou chaîne (obligatoire) Résultat de l'appel d'outil. call_id string (obligatoire) ID correspondant à l'ID du bloc d'appel d'outil du serveur MCP. FileSearchResultContent Contenu des résultats de recherche de fichiers. result FileSearchResult (facultatif) Résultats de la recherche de fichiers. Résultat de la recherche de fichiers. Champs title string (facultatif) Titre du résultat de recherche. text string (facultatif) Texte du résultat de recherche. file_search_store string (facultatif) Nom du magasin de recherche de fichiers. type chaîne (obligatoire) Utilisé comme discriminant de type OpenAPI pour le contenu oneof. Toujours défini sur "file_search_result" . Exemples Texte { "type" : "text" , "text" : "Hello, how are you?" } Image { "type" : "image" , "data" : "BASE64_ENCODED_IMAGE" , "mime_type" : "image/png" } Audio { "type" : "audio" , "data" : "BASE64_ENCODED_AUDIO" , "mime_type" : "audio/wav" } Document { "type" : "document" , "data" : "BASE64_ENCODED_DOCUMENT" , "mime_type" : "application/pdf" } Vidéo { "type" : "video" , "uri" : "https://www.youtube.com/watch?v=9hE5-98ZeCg" } Réflexion { "type" : "thought" , "summary" : [ { "type" : "text" , "text" : "The user is asking about the weather. I should use the get_weather tool." } ], "signature" : "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" } Appel de fonction { "type" : "function_call" , "name" : "get_weather" , "id" : "gth23981" , "arguments" : { "location" : "Boston, MA" } } Résultat de la fonction { "type" : "function_result" , "name" : "get_weather" , "call_id" : "gth23981" , "result" : { "weather" : "sunny" } } Appel d'exécution de code { "type" : "code_execution_call" , "id" : "call_123456" , "arguments" : { "language" : "python" , "code" : "print('hello world')" } } Résultat de l'exécution du code { "type" : "code_execution_result" , "call_id" : "call_123456" , "result" : "hello world\n" } Appel de contexte d'URL { "type" : "url_context_call" , "id" : "call_123456" , "arguments" : { "urls" : [ "https://www.example.com" ] } } Résultat du contexte de l'URL { "type" : "url_context_result" , "call_id" : "call_123456" , "result" : [ { "url" : "https://www.example.com" , "status" : "SUCCESS" } ] } Appel depuis la recherche Google { "type" : "google_search_call" , "id" : "call_123456" , "arguments" : { "queries" : [ "weather in Boston" ] } } Résultat de recherche Google { "type" : "google_search_result" , "call_id" : "call_123456" , "result" : [ { "url" : "https://www.google.com/search?q=weather+in+Boston" , "title" : "Weather in Boston" } ] } Appel d'outil du serveur MCP { "type" : "mcp_server_tool_call" , "id" : "call_123456" , "name" : "get_forecast" , "server_name" : "weather_server" , "arguments" : { "city" : "London" } } Résultat de l'outil de serveur MCP { "type" : "mcp_server_tool_result" , "name" : "get_forecast" , "server_name" : "weather_server" , "call_id" : "call_123456" , "result" : "sunny" } Résultat de recherche de fichier { "type" : "file_search_result" , "result" : [ { "text" : "search result chunk" , "file_search_store" : "file_search_store" } ] } Outil Types possibles Discriminant polymorphe : type Fonction Outil pouvant être utilisé par le modèle. name string (facultatif) Nom de la fonction. description string (facultatif) Description de la fonction. parameters object (facultatif) Schéma JSON pour les paramètres de la fonction. type string (obligatoire) Aucune description fournie. Toujours défini sur "function" . GoogleSearch Outil que le modèle peut utiliser pour effectuer des recherches sur Google. type chaîne (obligatoire) Aucune description fournie. Toujours défini sur "google_search" . CodeExecution Outil que le modèle peut utiliser pour exécuter du code. type chaîne (obligatoire) Aucune description fournie. Toujours défini sur "code_execution" . UrlContext Outil que le modèle peut utiliser pour récupérer le contexte d'une URL. type chaîne (obligatoire) Aucune description fournie. Toujours défini sur "url_context" . ComputerUse Outil que le modèle peut utiliser pour interagir avec l'ordinateur. type chaîne (obligatoire) Aucune description fournie. Toujours défini sur "computer_use" . environment enum (string) (optional) Environnement exploité. Valeurs possibles : browser excludedPredefinedFunctions array (string) (facultatif) Liste des fonctions prédéfinies exclues de l'appel de modèle. McpServer Un MCPServer est un serveur qui peut être appelé par le modèle pour effectuer des actions. type chaîne (obligatoire) Aucune description fournie. Toujours défini sur "mcp_server" . name string (facultatif) Nom du MCPServer. url string (optional) URL complète du point de terminaison MCPServer. Exemple : "https://api.example.com/mcp" headers object (facultatif) Facultatif : Champs pour les en-têtes d'authentification, les délais d'attente, etc., si nécessaire. allowed_tools AllowedTools (facultatif) Outils autorisés. Configuration des outils autorisés. Champs mode ToolChoiceType (facultatif) Mode de choix de l'outil. Valeurs possibles : auto any none validated tools array (string) (facultatif) Noms des outils autorisés. FileSearch Outil que le modèle peut utiliser pour rechercher des fichiers. file_search_store_names array (string) (optional) Noms des magasins de fichiers à rechercher. top_k integer (optional) Nombre de blocs de récupération sémantique à récupérer. metadata_filter string (optional) Filtre de métadonnées à appliquer aux documents et aux blocs de récupération sémantique. type string (obligatoire) Aucune description fournie. Toujours défini sur "file_search" . Exemples Fonction GoogleSearch CodeExecution UrlContext ComputerUse McpServer FileSearch CANNOT TRANSLATE Champs role string (facultatif) L'auteur de ce tour. Doit être "user" pour l'entrée ou "model" pour la sortie du modèle. content array ( Content ) or string (optional) Contenu du tour. Exemples Tour de l'utilisateur { "role" : "user" , "content" : [ { "type" : "text" , "text" : "user turn" } ] } Tour de modèle { "role" : "model" , "content" : [ { "type" : "text" , "text" : "model turn" } ] } InteractionSseEvent Types possibles Discriminant polymorphe : event_type InteractionEvent event_type enum (string) (facultatif) Aucune description fournie. Valeurs possibles : interaction.start interaction.complete interaction Interaction (facultatif) Aucune description fournie. event_id string (facultatif) Jeton event_id à utiliser pour reprendre le flux d'interaction à partir de cet événement. InteractionStatusUpdate interaction_id string (facultatif) Aucune description fournie. status enum (string) (facultatif) Aucune description fournie. Valeurs possibles : in_progress requires_action completed failed cancelled event_type string (facultatif) Aucune description fournie. Toujours défini sur "interaction.status_update" . event_id string (facultatif) Jeton event_id à utiliser pour reprendre le flux d'interaction à partir de cet événement. ContentStart index integer (facultatif) Aucune description fournie. content Content (facultatif) Aucune description fournie. event_type string (facultatif) Aucune description fournie. Toujours défini sur "content.start" . event_id string (facultatif) Jeton event_id à utiliser pour reprendre le flux d'interaction à partir de cet événement. ContentDelta index integer (facultatif) Aucune description fournie. event_type string (facultatif) Aucune description fournie. Toujours défini sur "content.delta" . event_id string (facultatif) Jeton event_id à utiliser pour reprendre le flux d'interaction à partir de cet événement. delta object (facultatif) Aucune description fournie. Types possibles Discriminateur polymorphe : type TextDelta text string (facultatif) Aucune description fournie. type string (obligatoire) Utilisé comme discriminant de type OpenAPI pour le contenu oneof. Toujours défini sur "text" . annotations Annotation (optional) Informations de citation pour le contenu généré par le modèle. Informations de citation pour le contenu généré par le modèle. Champs start_index integer (facultatif) Début du segment de la réponse attribué à cette source. L'index indique le début du segment, mesuré en octets. end_index integer (facultatif) Fin du segment attribué (exclusif). source string (facultatif) Source attribuée à une partie du texte. Il peut s'agir d'une URL, d'un titre ou d'un autre identifiant. ImageDelta data string (facultatif) Aucune description fournie. uri string (facultatif) Aucune description fournie. mime_type ImageMimeTypeOption (facultatif) Aucune description fournie. Valeurs possibles : image/png image/jpeg image/webp image/heic image/heif Type MIME de l'image. type chaîne (obligatoire) Utilisé comme discriminant de type OpenAPI pour le contenu oneof. Toujours défini sur "image" . resolution MediaResolution (optional) Résolution du contenu multimédia. Valeurs possibles : low medium high AudioDelta data string (facultatif) Aucune description fournie. uri string (facultatif) Aucune description fournie. mime_type AudioMimeTypeOption (facultatif) Aucune description fournie. Valeurs possibles : audio/wav audio/mp3 audio/aiff audio/aac audio/ogg audio/flac Type MIME du contenu audio. type string (obligatoire) Utilisé comme discriminant de type OpenAPI pour le contenu oneof. Toujours défini sur "audio" . DocumentDelta data string (facultatif) Aucune description fournie. uri string (facultatif) Aucune description fournie. mime_type string (facultatif) Aucune description fournie. type string (obligatoire) Utilisé comme discriminant de type OpenAPI pour le contenu oneof. Toujours défini sur "document" . VideoDelta data string (facultatif) Aucune description fournie. uri string (facultatif) Aucune description fournie. mime_type VideoMimeTypeOption (facultatif) Aucune description fournie. Valeurs possibles : video/mp4 video/mpeg video/mov video/avi video/x-flv video/mpg video/webm video/wmv video/3gpp Type MIME de la vidéo. type chaîne (obligatoire) Utilisé comme discriminant de type OpenAPI pour le contenu oneof. Toujours défini sur "video" . resolution MediaResolution (facultatif) Résolution du contenu multimédia. Valeurs possibles : low medium high ThoughtSummaryDelta type string (obligatoire) Utilisé comme discriminant de type OpenAPI pour le contenu oneof. Toujours défini sur "thought_summary" . content ImageContent ou TextContent (facultatif) Aucune description fournie. ThoughtSignatureDelta signature string (facultatif) Signature permettant de faire correspondre la source du backend à inclure dans la génération. type chaîne (obligatoire) Utilisé comme discriminant de type OpenAPI pour le contenu oneof. Toujours défini sur "thought_signature" . FunctionCallDelta name string (facultatif) Aucune description fournie. arguments object (facultatif) Aucune description fournie. type string (obligatoire) Utilisé comme discriminant de type OpenAPI pour le contenu oneof. Toujours défini sur "function_call" . id chaîne (facultatif) ID unique pour cet appel d'outil spécifique. FunctionResultDelta name string (facultatif) Aucune description fournie. is_error boolean (facultatif) Aucune description fournie. type string (obligatoire) Utilisé comme discriminant de type OpenAPI pour le contenu oneof. Toujours défini sur "function_result" . result objet ou chaîne (facultatif) Delta du résultat de l'appel d'outil. call_id string (facultatif) ID correspondant à l'ID du bloc d'appel de fonction. CodeExecutionCallDelta arguments CodeExecutionCallArguments (facultatif) Aucune description fournie. Arguments à transmettre à l'exécution du code. Champs language enum (string) (facultatif) Langage de programmation du code. Valeurs possibles : python code string (facultatif) Code à exécuter. type chaîne (obligatoire) Utilisé comme discriminant de type OpenAPI pour le contenu oneof. Toujours défini sur "code_execution_call" . id chaîne (facultatif) ID unique pour cet appel d'outil spécifique. CodeExecutionResultDelta result string (facultatif) Aucune description fournie. is_error boolean (facultatif) Aucune description fournie. signature string (facultatif) Aucune description fournie. type string (obligatoire) Utilisé comme discriminant de type OpenAPI pour le contenu oneof. Toujours défini sur "code_execution_result" . call_id string (facultatif) ID correspondant à l'ID du bloc d'appel de fonction. UrlContextCallDelta arguments UrlContextCallArguments (facultatif) Aucune description fournie. Arguments à transmettre au contexte de l'URL. Champs urls array (string) (optional) URL à récupérer. type string (obligatoire) Utilisé comme discriminant de type OpenAPI pour le contenu oneof. Toujours défini sur "url_context_call" . id chaîne (facultatif) ID unique pour cet appel d'outil spécifique. UrlContextResultDelta signature string (facultatif) Aucune description fournie. result UrlContextResult (facultatif) Aucune description fournie. Résultat du contexte de l'URL. Champs url string (optional) URL récupérée. status enum (string) (facultatif) État de la récupération de l'URL. Valeurs possibles : success error paywall unsafe is_error boolean (facultatif) Aucune description fournie. type string (obligatoire) Utilisé comme discriminant de type OpenAPI pour le contenu oneof. Toujours défini sur "url_context_result" . call_id string (facultatif) ID correspondant à l'ID du bloc d'appel de fonction. GoogleSearchCallDelta arguments GoogleSearchCallArguments (facultatif) Aucune description fournie. Arguments à transmettre à la recherche Google. Champs queries array (string) (facultatif) Requêtes de recherche sur le Web pour la recherche sur le Web de suivi. type string (obligatoire) Utilisé comme discriminant de type OpenAPI pour le contenu oneof. Toujours défini sur "google_search_call" . id chaîne (facultatif) ID unique pour cet appel d'outil spécifique. GoogleSearchResultDelta signature string (facultatif) Aucune description fournie. result GoogleSearchResult (facultatif) Aucune description fournie. Résultat de la recherche Google. Champs url string (optional) Référence URI du résultat de recherche. title string (facultatif) Titre du résultat de recherche. rendered_content string (facultatif) Extrait de contenu Web pouvant être intégré à une page Web ou à une WebView d'application. is_error boolean (facultatif) Aucune description fournie. type string (obligatoire) Utilisé comme discriminant de type OpenAPI pour le contenu oneof. Toujours défini sur "google_search_result" . call_id string (facultatif) ID correspondant à l'ID du bloc d'appel de fonction. McpServerToolCallDelta name string (facultatif) Aucune description fournie. server_name string (facultatif) Aucune description fournie. arguments object (facultatif) Aucune description fournie. type string (obligatoire) Utilisé comme discriminant de type OpenAPI pour le contenu oneof. Toujours défini sur "mcp_server_tool_call" . id chaîne (facultatif) ID unique pour cet appel d'outil spécifique. McpServerToolResultDelta name string (facultatif) Aucune description fournie. server_name string (facultatif) Aucune description fournie. type string (obligatoire) Utilisé comme discriminant de type OpenAPI pour le contenu oneof. Toujours défini sur "mcp_server_tool_result" . result objet ou chaîne (facultatif) Delta du résultat de l'appel d'outil. call_id string (facultatif) ID correspondant à l'ID du bloc d'appel de fonction. FileSearchResultDelta result FileSearchResult (facultatif) Aucune description fournie. Résultat de la recherche de fichiers. Champs title string (facultatif) Titre du résultat de recherche. text string (facultatif) Texte du résultat de recherche. file_search_store string (facultatif) Nom du magasin de recherche de fichiers. type chaîne (obligatoire) Utilisé comme discriminant de type OpenAPI pour le contenu oneof. Toujours défini sur "file_search_result" . ContentStop index integer (facultatif) Aucune description fournie. event_type string (facultatif) Aucune description fournie. Toujours défini sur "content.stop" . event_id string (facultatif) Jeton event_id à utiliser pour reprendre le flux d'interaction à partir de cet événement. ErrorEvent event_type string (facultatif) Aucune description fournie. Toujours défini sur "error" . error Error (facultatif) Aucune description fournie. Message d'erreur provenant d'une interaction. Champs code string (facultatif) URI qui identifie le type d'erreur. message string (facultatif) Message d'erreur lisible par l'utilisateur. event_id string (facultatif) Jeton event_id à utiliser pour reprendre le flux d'interaction à partir de cet événement. Exemples Début de l'interaction { "event_type" : "interaction.start" , "interaction" : { "id" : "v1_ChdTMjQ0YWJ5TUF1TzcxZThQdjRpcnFRcxIXUzI0NGFieU1BdU83MWU4UHY0aXJxUXM" , "model" : "gemini-2.5-flash" , "object" : "interaction" , "status" : "in_progress" } } Interaction terminée { "event_type" : "interaction.complete" , "interaction" : { "created" : "2025-12-09T18:45:40Z" , "id" : "v1_ChdTMjQ0YWJ5TUF1TzcxZThQdjRpcnFRcxIXUzI0NGFieU1BdU83MWU4UHY0aXJxUXM" , "model" : "gemini-2.5-flash" , "object" : "interaction" , "outputs" : [ { "signature" : "CoMDAXLI2nynRYojJIy6B1Jh9os2crpWLfB0+19xcLsGG46bd8wjkF/6RNlRUdvHrXyjsHkG0BZFcuO/bPOyA6Xh5jANNgx82wPHjGExN8A4ZQn56FlMwyZoqFVQz0QyY1lfibFJ2zU3J87uw26OewzcuVX0KEcs+GIsZa3EA6WwqhbsOd3wtZB3Ua2Qf98VAWZTS5y/tWpql7jnU3/CU7pouxQr/Bwft3hwnJNesQ9/dDJTuaQ8Zprh9VRWf1aFFjpIueOjBRrlT3oW6/y/eRl/Gt9BQXCYTqg/38vHFUU4Wo/d9dUpvfCe/a3o97t2Jgxp34oFKcsVb4S5WJrykIkw+14DzVnTpCpbQNFckqvFLuqnJCkL0EQFtunBXI03FJpPu3T1XU6id8S7ojoJQZSauGUCgmaLqUGdMrd08oo81ecoJSLs51Re9N/lISGmjWFPGpqJLoGq6uo4FHz58hmeyXCgHG742BHz2P3MiH1CXHUT2J8mF6zLhf3SR9Qb3lkrobAh" , "type" : "thought" }, { "text" : "Elara\u2019s life was a symphony of quiet moments. A librarian, she found solace in the hushed aisles, the scent of aged paper, and the predictable rhythm of her days. Her small apartment, meticulously ordered, reflected this internal calm, save" , "type" : "text" }, { "text" : " for one beloved anomaly: a chipped porcelain teacup, inherited from her grandmother, which held her morning Earl Grey.\n\nOne Tuesday, stirring her tea, Elara paused. At the bottom, nestled against the porcelain, was a star." , "type" : "text" }, { "text" : " Not a star-shaped tea leaf, but a miniature, perfectly formed celestial body, radiating a faint, cool luminescence. Before she could gasp, it dissolved, leaving only the amber swirl of her brew. She dismissed it as a trick of" , "type" : "text" }, { "text" : " tired eyes.\n\nBut the next morning, a gossamer-thin feather, smaller than an eyelash and shimmering with iridescent hues, floated on the surface. It vanished the moment she tried to touch it. A week later, a single," , "type" : "text" }, { "text" : " impossibly delicate bloom, like spun moonbeam, unfolded in her cup before fading into nothingness.\n\nThese weren't illusions. Each day, Elara\u2019s chipped teacup offered a fleeting, exquisite secret. A tiny, perfect" , "type" : "text" }, { "text" : " crystal, a miniature spiral nebula, a fragment of rainbow caught in liquid form. They never lingered, never accumulated, simply *were* and then *weren't*, leaving behind a residue of quiet wonder.\n\nElara never spoke" , "type" : "text" }, { "text" : " of it. It was her private wellspring, a daily reminder that magic could exist in the smallest, most overlooked corners of the world. Her routine remained unchanged, her external life a picture of calm, but inside, a secret garden blo" , "type" : "text" }, { "text" : "omed. Each dawn brought not just tea, but the silent promise of extraordinary beauty, waiting patiently in a chipped teacup." , "type" : "text" } ], "role" : "model" , "status" : "completed" , "updated" : "2025-12-09T18:45:40Z" , "usage" : { "input_tokens_by_modality" : [ { "modality" : "text" , "tokens" : 11 } ], "total_cached_tokens" : 0 , "total_input_tokens" : 11 , "total_output_tokens" : 364 , "total_reasoning_tokens" : 1120 , "total_tokens" : 1495 , "total_tool_use_tokens" : 0 } } | 2026-01-13T09:29:53 |
https://www.notion.com/id/help | Bantuan, Dukungan, dan Dokumentasi untuk 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 Halo, apa yang bisa kami bantu? Billing Data sources Restoring content Adding members Topik populer Getting started → New to Notion? Start here! What is Notion AI? → Learn about all Notion AI features. Comments & reminders → Collaborate with others using comments and reminders. Databases → Organize content your way using Notion's many database features. Images, files & media → Spruce up your pages with images, videos, and more. Members vs. guests → Who should be a workspace member, and who should be a guest? Notion Academy Dari sekadar penasaran menjadi mahir. Pelajari Notion, buat alur kerja yang lebih cerdas, dan validasi keterampilan Anda dengan lencana & sertifikasi. Mulai belajar Yang baru Lihat semua → Notion Agent → Get started working with your Notion Agent. Database page-level access → Assign specific access levels to people mentioned in person properties in your database. Masih punya pertanyaan? 📬 Kirim email kepada kami [email protected] 👋 Bergabunglah dengan komunitas kami Temukan jawaban 💼 Sewa Konsultan Bersertifikat Temukan pakar untuk kebutuhan Anda Dokumen Referensi Memulai Start here Apa itu blok? Buat halaman Create a subpage What is a database? Create a database Start with a template Share your work Collaborate with people Badges & certifications Lihat semua Ruang kerja & bilah sisi Intro to workspaces Navigate with the sidebar Create, join & leave workspaces Create, join & leave teamspaces Search in your workspace Home & My tasks Workspaces on mobile Delete a workspace Lihat semua Halaman & blok Intro to writing & editing Format your page Style & customize your page Gambar, file & media Links & backlinks Wikis & verified pages Move & duplicate content Hapus & pulihkan konten Synced blocks Code blocks Math equations Pintasan keyboard Duplicate public pages Use pages offline Lihat semua Database Pengantar database Views, filters, sorts & groups Properti database Relasi & rollup Database settings Templat database Sub-items & dependencies Task databases & sprints Data sources Optimize database load times & performance Table view Tampilan papan Timeline view Calendar view List view Gallery view Tampilan diagram Unique ID Map view Forms Layouts Feed view Lihat semua Berbagi & kolaborasi Berbagi & izin Kelola anggota & tamu Collaborate in a workspace Inbox & notifications Komentar & sebutan Pengingat Suggested edits Page analytics Intro to teamspaces Who’s who in a workspace People profiles People Directory Create & manage groups Lihat semua Data & integrasi Import data into Notion Export your content Back up your data Embeds, bookmarks & link mentions Add & manage integrations Notion API integrations Link previews Synced databases Connected properties Import from Asana Import from Confluence Import from Monday.com Integrate GitHub Integrate Slack Integrate Jira Common Jira Sync issues Lihat semua Automations Buttons Database buttons Database automations Webhook actions Lihat semua Formula Pengantar tentang formula Formula syntax & functions Common formula errors Lihat semua Aplikasi Notion Notion untuk desktop Notion for web Notion for mobile System requirements for Notion Notion beta program Mobile widgets Web Clipper Notion New Tab extension Lihat semua Paket, penagihan & pembayaran Change your plan Billing How adding & removing members impacts billing Invoices Payment methods Refunds Notion for education Notion for startups Notion for creators Paid plan trials Understanding block usage What happens when I downgrade my plan? Sales tax Can’t upgrade to the Plus Plan for students and educators Lihat semua Administrasi ruang kerja SAML SSO Set up Identity Provider (IdP) for SAML SSO Manage your Enterprise workspace Domain management Provision users & groups with SCIM Set up Identity Provider (IdP) for SCIM Content search Transfer content from a deprovisioned user Audit log Workspace analytics Add security & compliance integrations Managed users Enterprise connection settings Custom data retention settings Deploy Notion for macOS IP address restrictions Manage teamspaces Network control Deploy Notion for Windows Organization level controls Legal holds Lihat semua Settings Account settings & preferences Notification settings Workspace settings Two-step verification Notion IP addresses & domains HIPAA configuration Data access consent Delete your account Notion Faces Log in & out Change your language Passkeys Lihat semua Pemecahan Masalah Reset Notion I can't log in I can’t access Notion I can't access my own page I can’t upload or view a file Common Notion errors Record HAR files for troubleshooting Lihat semua Keamanan & privasi Security practices Privacy practices GDPR at Notion Data accessible by your workspace owner Report inappropriate content How Notion 3.0 protects against prompt injection risks How to protect yourself from malvertising Data residency for Notion Dormant account policy Shared Responsibilities Model Lihat semua Notion AI What is Notion AI? Notion AI for databases AI Meeting Notes (beta) Notion AI Connectors GitHub AI Connector Google Drive AI Connector Jira AI Connector (beta) Linear AI Connector Microsoft Teams AI Connector (beta) Microsoft SharePoint & OneDrive AI Connector (beta) Slack AI Connector Notion AI complimentary responses Notion AI security & privacy practices Enterprise Search security & privacy practices Notion’s commitment to AI safety Notion MCP Notion Agent Google Calendar AI Connector Notion Calendar AI Connector (beta) Microsoft Outlook AI Connector Enterprise Search Research Mode Gmail AI Connector (Beta) Notion Mail AI Connector (beta) Lihat semua Notion Calendar Buat akun Notion Calendar Kelola kalender & acara Anda Scheduling & availability Blocking Time zones Manage your linked Notion account Notion Calendar settings Notion Calendar integrations & API Use Notion Calendar with Notion Notion Calendar for teams Notion Calendar keyboard shortcuts Notion Calendar apps Notion Calendar security practices Lihat semua Notion Sites Publikasikan Situs Notion Edit & customize your Notion Sites Manage your Notion Sites Connect a custom domain with Notion Sites Notion Sites availability & pricing Lihat semua Notion Mail Get started with Notion Mail Navigate your inbox Compose an email Views, groups, filters & properties Schedule meetings with Notion Mail Use Notion AI with Notion Mail Notion Mail settings Notion Mail keyboard shortcuts Notion Mail security practices Can’t log into Notion Mail Notion Mail for mobile Lihat semua Marketplace Finding templates on Marketplace Selling on Marketplace Getting featured in Marketplace Marketplace guidelines & terms Become a Notion Solutions Partner Offering services on Marketplace Template localization on Marketplace Finding services on Marketplace Lihat semua Panduan Telusuri menurut kasus penggunaan Notion AI Dokumentasi Catatan Manajemen proyek Wiki Produk Teknik Desain SDM & karyawan Pemasaran Personal Perusahaan Startup Demo Galeri templat Automasi Tumbuh dengan Notion Notion Academy API Buat integrasi Dukungan Kirim email kepada kami Bergabunglah dengan komunitas kami Cari konsultan 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 → | 2026-01-13T09:29:53 |
https://www.cisco.com/c/sv_se/training-events.html | Cisco resurser för utbildning, evenemang och webbseminarier - Cisco Skip to Main content Hoppa över för att söka Skip to Footer Cisco.com Sverige Produkter och tjänster Lösningar Support Mer information Utforska Cisco Inköpsställen Startsida för partner Nytt partnerprogram Support Verktyg Hitta en Cisco-partner Träffa våra partner Bli Cisco-partner Utbildning, evenemang och webbseminarier Utbildning och certifieringar Certifieringar Prov Utbildning Utbildningskatalog Utbildningsresurser Evenemang Global Events-kalender Cisco Live Cisco Connect Webbseminarier TechWiseTV Tekniskt kunskapsbibliotek Influencer-hubb Cisco Knowledge Network Utbildning Ta nästa steg i din karriär med Cisco Resurser och utbildning för att ge din verksamhet och karrriär en skjuts. Evenemang Cisco Live: sessioner tillgängliga på begäran Cisco Live inspelade sessioner finns tillgängliga i biblioteket på begäran. Visa inledningsanföranden, tekniska sessioner och demonstrationer nu. Webbseminarier Cisco Webex: kompromisslöst förtroende på TechWiseTV Distribuera säker, privat företagskommunikation som slutanvändarna älskar. CERTIFIERINGAR Cisco Certified CyberOps Professional När du uppnår certifieringen Cisco Certified CyberOps Professional får du bevis på dina avancerade kunskaper som senior analytiker i ett säkerhetscenter. Evenemang Globala evenemang: nätverka med Cisco-partner och -medarbetare Träffa oss på globala evenemang över hela världen och nätverka med Cisco-partner, -medarbetare och ämnesexperter. Webbseminarier Cisco Knowledge Network: webbseminarier på begäran för tjänstleverantörer Utforska vår fullständiga katalog med webbseminarier för tjänstleverantörer live och på begäran. Utbildningsresurser Spårningssystem för certifieringar Ciscos utbildningssökning Ciscos utbildningsnätverk Cisco Learning Partner-programmet Utbildningstjänster | 2026-01-13T09:29:53 |
https://openchainproject.org/news/2024/10/10/webinar-the-role-of-data-in-the-supply-chain-of-ai#slide-out-widget-area | Webinar: The Role of Data in the Supply Chain of AI – 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: The Role of Data in the Supply Chain of AI By Shane Coughlan 2024-10-10 ai , legal , licensing , News , Webinar No Comments To help you navigate the complexities of AI, data and the supply chain, Nick Schifano CEO and founder of FastCatalog.ai discussed the intersection of AI innovation and legal frameworks. With years of experience in IP law, standards, and AI/ML legal frameworks, Nick guided us through key considerations for managing the AI supply chain—focusing on how companies can prepare for and comply with new regulatory requirements. Webinar Highlights: ✔️ Insights into the hidden risks behind model lineage and training data in open-source AI models ✔️ Scenarios where data transparency becomes crucial for AI systems ✔️ Operational strategies to better manage AI and data supply chains ✔️ Preparing for the upcoming EU AI Act and its implications for companies Watch the Webinar Review the Slides About the Speaker: Nick Schifano is a leading expert in AI and legal frameworks. Before founding FastCatalog.ai , a company dedicated to revolutionizing AI supply chain management, Nick served as Assistant General Counsel at Microsoft, where he led groundbreaking initiatives in open innovation and AI/ML legal practices. With a technical foundation in software engineering and IT consulting, Nick brings a holistic view of both the technical and legal aspects of AI development. 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 2024-10-10. 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 | 2026-01-13T09:29:53 |
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https://www.notion.com/ar/product/ai/use-cases | استخدامات Notion AI 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 تسجيل الدخول احصل على Notion مجاناً ماذا يمكن أن يفعل Notion AI؟ اسأل عن أي شيء، أو ابدأ بمكتبة حالات الاستخدام. معرفة المزيد إغلاق مربع الحوار تشغيل عذراً، يبدو أن أداة حظر الإعلانات تمنع تشغيل الفيديو. للعمل للحياة المجتمع Notion أنشئ دليل تأهيل لمهندس جديد ينضم كمهندس برمجيات في فريق الأجهزة المحمولة. وقم بتضمين قاعدة بيانات للأشخاص الذين يجب مقابلتهم، وقائمة مرجعية بالأدوات التي يجب إعدادها، وروابط لصفحات الفريق المهمة. تأهيل موظف جديد دردش حول أي موضوع أحتاج إلى العودة إلى هذا العميل بنطاق وخطة واضحة لليومين المقبلين من العمل معاً. هل يمكنك تحليل هذا النص بالإضافة إلى العرض ونصوص الاجتماعات السابقة المرتبطة بهذا المشروع ومساعدتي في صياغة شيء ما؟ صياغة مسودات نطاقات العملاء من النصوص والمستندات Tim Jefferies التخطيط لاجتماع خارجي أنشئ تقرير تحليل المنافسين لأكبر خمس علامات تجارية للصودا الصحية من حيث الإيرادات. قم بتضمين قاعدة بيانات تحتوي على التسعير والرسائل التسويقية والشرائح السكانية المستهدفة. وحدّد اتجاهات السوق والفرص المتاحة. إنشاء تقرير تحليل المنافسين تحليل ملفات PDF والصور راجع هذه الأهداف والنتائج الرئيسية بناءً على الملاحظات من اجتماع المراجعة الأخير. وحسّن النتائج الرئيسية وتأكد من توافقها مع أهداف شركتنا. وضع اللمسات الأخيرة على أهدافك ونتائجك الرئيسية إنشاء دليل دراسة حوّل ملاحظات الأوراق اللاصقة هذه من جلسة تبادل الأفكار إلى قاعدة بيانات خريطة طريق. اجمع الأفكار المتشابهة وحدِّد الأولويات حسب الأهمية. الانتقال من تبادل الأفكار إلى رسم خريطة طريق 1 2 3 → شارِك حالة الاستخدام الخاصة بك هل اكتشفت طريقة رائعة لاستخدام Notion AI؟ شارك حالة الاستخدام الخاصة بك وساعد الآخرين على فتح إمكانيات جديدة. احصل على عرض في قنواتنا الاجتماعية وقنوات العرض الخاصة بنا روّج لعملك اربح شارات المجتمع والتقدير إرسال عرض الإرشادات 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 → | 2026-01-13T09:29:53 |
https://www.cisco.com/site/us/en/about/purpose/40-communities/index.html | 40 Communities - Cisco Skip to main content Skip to search Skip to footer Cisco.com Worldwide Products and Services Close Solutions Close Support Close Learn Close Why Cisco Close Partners Close Trials and demos How to buy Partners EN US Profile Log in Trials and demos MENU CLOSE How to buy Partners Profile Log in EN US Close Close Close Close Close Hello, how can I help? About Purpose Overview Community Spotlights FY24 Purpose Report A New Era of Impact We’re bringing the full power of Cisco to engage, support, and invest in 40 communities around the world over the next 10 years. Read the blog 40 Communities What happens when we shift our focus from individual impact to community-wide change? Enter Cisco's next big ambition: 40 Communities. Through a community-centric approach, we're teaming up with local leaders, customers, and partners to understand each community's unique strengths and needs and then taking action. Backed by Cisco's technology, funding, and expertise, we're helping bridge the digital and data divide, strengthening infrastructure and cybersecurity, and equipping tomorrow's workforce with future-ready skills — measuring progress every step of the way. Together, we're creating connected, resilient communities that thrive . 40 Communities Overview Community Spotlights Western North Carolina, United States of America Following the devastating impact of Hurricane Helene, Western North Carolina became our inaugural 40 Communities site. After providing immediate crisis response and relief, we're now working alongside local partners to support long-term recovery and resilience — rebuilding homes, strengthening digital infrastructure and connectivity, creating pathways for skilling and employment, and building resilience for small and medium businesses across the region. Read the blog Mumbai, India Mumbai marks our first international 40 Communities site and a deepening of Cisco's commitment to India's digital transformation. Building on decades of collaboration with our partners, we'll leverage Cisco technology to deliver integrated solutions that build digital skills for a future-ready workforce, accelerate startups and small businesses, and address urban water and waste management challenges — driving lasting impact for communities and businesses in Mumbai and across the Maharashtra State. Read the blog Read the press release Power an Inclusive Future for All Celebrating 40 Years of Impact Driven by our Purpose, we combine our technology, people, and broader networks to address society's greatest challenges. We share the progress we've made in our annual report. Read FY24 Purpose Report Quick Links About Cisco Contact Us Careers Connect with a partner Resources and Legal Feedback Help Terms & Conditions Privacy Cookies / Do not sell or share my personal data Accessibility Trademarks Supply Chain Transparency Newsroom Sitemap © Cisco Systems, Inc. | 2026-01-13T09:29:53 |
https://aws.amazon.com/blogs/storage/tag/amazon-s3-glacier/ | Amazon S3 Glacier | AWS Storage Blog Skip to Main Content Filter: All English Contact us AWS Marketplace Support My account Search Filter: All Sign in to console Create account AWS Blogs Home Blogs Editions AWS Storage Blog Tag: Amazon S3 Glacier Automating retrievals from the Amazon S3 Glacier storage classes by Ballu Singh , Ananta Khanal , Pranjal Gururani , and Neha Joshi on 18 DEC 2023 in Advanced (300) , Amazon S3 Glacier , Amazon S3 Glacier Deep Archive , Amazon Simple Notification Service (SNS) , Amazon Simple Queue Service (SQS) , Amazon Simple Storage Service (S3) , AWS Lambda , Compute , Storage , Technical How-to Permalink Comments Share Faced with increasing amounts of data and a tightening economic climate, enterprises are looking to save money on their storage costs by moving rarely needed data to archival storage options. The least costly options require your internal systems to support receiving data back in hours or days, often called asynchronous retrievals. With this time delay, […] Simplify querying your archive data in Amazon S3 with Amazon Athena by Krishna Adettiwar , Harsha Battapady , and Vijay Jain on 24 NOV 2023 in Amazon Athena , Amazon S3 Glacier , Amazon Simple Storage Service (S3) , Analytics , Intermediate (200) , Storage , Technical How-to Permalink Comments Share Today, customers increasingly choose to store data for longer because they recognize its future value potential. Storing data longer, coupled with exponential data growth, has led to customers placing a greater emphasis on storage cost optimization and using cost-effective storage classes. However, a modern data archiving strategy not only calls for optimizing storage costs, but […] Identify cold objects for archiving to Amazon S3 Glacier storage classes by Archana Srinivasan and Arun Kumar SR on 12 SEP 2023 in Advanced (300) , Amazon Athena , Amazon QuickSight , Amazon S3 Glacier , Amazon S3 Glacier Deep Archive , Amazon Simple Storage Service (S3) , AWS Cloud Financial Management , Storage , Technical How-to Permalink Comments Share Update (02/13/2024): Consider Amazon S3 Lifecycle transition fees that are charged based on the total number of objects being transitioned, the destination storage class (listed on the Amazon S3 pricing page), as well as the additional metadata charges applied. You can use the S3 pricing calculator to estimate the total upfront and monthly costs by […] Reduce recovery time and optimize storage costs with faster restores from Amazon S3 Glacier storage classes and Commvault by Mathew Ericson and Nava Ajay Kanth Kota on 09 AUG 2023 in Amazon S3 Glacier , Amazon S3 Glacier Deep Archive , Amazon Simple Storage Service (S3) , Announcements , AWS Cloud Financial Management , AWS Partner Network , Intermediate (200) , Storage , Technical How-to Permalink Comments Share Data is the lifeblood of any modern business. Organizations are storing more copies of their application data than ever before to recover from data loss, repair data corruption or ransomware damage, respond to compliance requests, and become more data driven. Storing more data at reduced cost enables businesses to extract more value and insights to […] How Canva saves over $3 million annually in Amazon S3 costs by Josh Smith on 04 MAY 2023 in Amazon DynamoDB , Amazon EC2 , Amazon RDS , Amazon S3 Glacier , Amazon Simple Storage Service (S3) , AWS Cloud Financial Management , Customer Solutions , Media & Entertainment , Storage Permalink Comments Share Canva is an online design tool that empowers users worldwide to design, edit, and publish anything they can dream up. Canva runs most of its production workloads on AWS, using several core services, including Amazon S3, Amazon ECS, Amazon RDS, and Amazon DynamoDB. Running on AWS has helped Canva move fast and keep up with […] How to restore archived Amazon EC2 backup recovery points from the Amazon S3 Glacier storage classes by Prasad Duvvi and Praveen Haranahalli on 20 MAR 2023 in Amazon EC2 , Amazon Elastic Block Store (Amazon EBS) , Amazon EventBridge , Amazon S3 Glacier , Amazon Simple Notification Service (SNS) , Amazon Simple Storage Service (S3) , AWS Backup , AWS CloudFormation , AWS Lambda , AWS Step Functions , Expert (400) , Storage , Technical How-to Permalink Comments Share This is the second post in a two-part series. In part one, we described a process to automatically archive Amazon EC2 backup recovery points from AWS Backup to an Amazon S3 bucket in one of the Amazon S3 Glacier storage classes. In this post, we describe the process to restore an archived EC2 backup recovery point from […] On-demand archival and retrieval of documents from Amazon WorkDocs to Amazon S3 by Deep Pai on 06 MAR 2023 in Advanced (300) , Amazon DynamoDB , Amazon S3 Glacier , Amazon Simple Queue Service (SQS) , Amazon Simple Storage Service (S3) , Amazon WorkDocs , AWS CloudFormation , AWS Lambda , Business Productivity , Storage , Technical How-to Permalink Comments Share Cloud storage of documents has seen rapid growth over the years as more and more customers and businesses move away from traditional physical storage. As the size and number of documents continue to grow, customers want to manage their documents and retain them using long term, durable, cost-effective document archives. Businesses such as medical research […] How Indus OS cost-effectively transitioned billions of small objects between Amazon S3 storage classes by Nikhil Jain , Ameen Khan , Maheshwaran G , and Vishal Gupta on 16 SEP 2022 in Amazon DynamoDB , Amazon S3 Glacier , Amazon S3 Glacier Deep Archive , Amazon Simple Storage Service (S3) , AWS Batch , AWS Cloud Financial Management , AWS Lambda , Compute , Customer Solutions , Storage Permalink Comments Share Indus OS is a mobile platform that enables content and application discovery for users, application developers, and original equipment manufacturers (OEMs). Powered by artificial intelligence, Indus App Bazaar curates locally relevant apps and content for users based on their demographics, lingual preferences, and behaviour, and offers an intuitive user interface with content-led discovery. Indus App […] How Amagi uses Amazon S3 Glacier Instant Retrieval to optimize media storage costs by Arpit Malani , Nilesh Parekh , and Shad Hashmi on 15 SEP 2022 in Amazon S3 Glacier , Amazon Simple Storage Service (S3) , AWS Cloud Financial Management , AWS Partner Network , Customer Solutions , Intermediate (200) , Marketing & Advertising , Storage Permalink Comments Share Amagi is a global leader in SaaS technology providing end-to-end cloud-managed live and on-demand video infrastructure for TV and Over-the-Top (OTT) media services for over 700 playout and 2,000 ad-insertion channels across 40 countries. Amagi enables TV networks and content owners to launch, manage, distribute, and monetize live, linear, and on-demand channels across cable, OTT, […] How Photobox optimizes storage costs for over 12 billion photos with Amazon S3 Glacier Instant Retrieval by David Descourcieres on 15 SEP 2022 in Advanced (300) , Amazon S3 Glacier , Amazon Simple Storage Service (S3) , AWS Cloud Financial Management , Best Practices , Customer Solutions , Media & Entertainment , Storage , Technical How-to Permalink Comments Share albelli-Photobox Group is a leading player in the online European photo product and gifting market. We serve a pan-European customer base of over 7 million customers. At Photobox, we are focused on inspiring our customers to easily make beautiful photo products and bring their special moments to life. 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https://www.notion.com/id/product | Ruang kerja AI yang cocok untuk Anda. | 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 Satu ruang kerja. Nol pekerjaan remeh. Tempat tim dan agent AI Anda mencatat informasi, menemukan jawaban, dan mengotomatiskan proyek. Sekarang kemampuan tim beranggotakan 7 orang terasa seperti 70 orang. Dapatkan Notion gratis Minta demo Dipercaya tim papan atas Memperkenalkan Notion 3.0 Agent Pribadi Baru Dengan Agent, semua tugas langsung beres. → Serahkan urusan yang menyita waktu Pekerjaan yang dulu berhari-hari, kini tuntas dalam hitungan menit. Katakan tujuan Anda, agent langsung bekerja. Berkolaborasi dengan tim Anda Rasanya seperti punya pakar andalan yang ikut turun tangan bersama tim Anda. Paham semua yang Anda tahu Menelusuri semua halaman, pesan, file, hingga web untuk menemukan apa yang Anda butuhkan. Dipersonalisasi untuk Anda Agent Anda belajar dari cara Anda bekerja. Anda bisa mengendalikan segalanya, dari perilakunya hingga tampilannya. Agent Kustom Segera hadir Otomatiskan tugas berulang. → Enterprise Search Satu pencarian untuk semuanya. → AI Meeting Notes Catatan yang sempurna setiap saat. → Alur kerja yang fleksibel Kelola proyek apa pun, besar maupun kecil. → Aplikasi serba-AI untuk Anda. Produktivitas lebih tinggi. Alat lebih sedikit. Satukan semua alat dan tim Anda di satu tempat. Hitung penghematan di bawah ini. Lihat paket harga → AI Search $35/pengguna AI Chatbot $20/pengguna AI Meeting Notes $18/pengguna AI Writing Assistant $20/pengguna AI Email App $30/pengguna AI Research $40/pengguna Penjadwalan Kalender $15/pengguna Wiki Tim $10/pengguna Alat Manajemen Proyek $24/pengguna CRM dasar $20/pengguna Pembuat Situs $20/pengguna Forms $15/pengguna Ukuran tim Penghematan bulanan US$0 Penghematan tahunan US$0 Dipercaya tim yang terus meluncurkan produk. Platform terpadu memiliki keunggulan karena Anda dapat mengerjakan semuanya di satu tempat. Notion adalah platform terpadu tersebut. Baca kisah lengkapnya → Lihat video Alur kerja yang efisien untuk menghemat waktu 3x lipat. → “Dengan Notion, setiap orang di Ramp memiliki agent AI.” → “Notion paham bahwa Anda dapat menyelesaikan banyak masalah dengan satu alat.” → “Notion adalah cara paling ampuh dan efektif untuk menyederhanakan alur kerja kami.” → "Menggunakan alat berbasis AI seperti Notion adalah keunggulan kompetitif utama bagi kami." → Satu pusat kerja dengan AI yang membuat semua orang selalu tahu informasi dan alur kerja tetap lancar. → Tutup dialog Putar Ups! Sepertinya pemblokir iklan Anda mencegah pemutaran video. Silakan tonton di YouTube Baca kisah lengkapnya → Lebih dari 100 juta pengguna di dunia #1 basis pengetahuan 3 tahun berturut-turut (G2) #1 enterprise search dengan AI (G2) #1 penulisan dengan AI (G2) 62% Perusahaan Fortune 100 Lebih dari 50% perusahaan YC 1,4 juta+ anggota komunitas Lebih dari 100 juta pengguna di dunia #1 basis pengetahuan 3 tahun berturut-turut (G2) #1 enterprise search dengan AI (G2) #1 penulisan dengan AI (G2) 62% Perusahaan Fortune 100 Lebih dari 50% perusahaan YC 1,4 juta+ anggota komunitas Lebih dari 100 juta pengguna di dunia #1 basis pengetahuan 3 tahun berturut-turut (G2) #1 enterprise search dengan AI (G2) #1 penulisan dengan AI (G2) 62% Perusahaan Fortune 100 Lebih dari 50% perusahaan YC 1,4 juta+ anggota komunitas Biarkan Notion AI yang membereskan urusan yang menyita waktu. Pilih contoh penggunaan untuk melihat cara Notion membantu Anda. 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https://infisical.com/docs/documentation/platform/pki/certificates/profiles | Certificate Profiles - Infisical Skip to main content Infisical home page Search... ⌘ K Ask AI Log In Start for Free Start for Free Search... Navigation Certificates Certificate Profiles Platform Products CLI Reference API Reference SDKs Changelog Certificate Management Overview Concepts Guides Product Reference Certificate Authorities Certificates Overview Profiles Templates 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 Guide to Creating a Certificate Profile Certificates Certificate Profiles Concept A certificate profile is a configuration set specifying how leaf certificates should be issued for a group of end-entities including the issuing CA , a certificate template , and the enrollment method (e.g. ACME, EST, API, etc.) used to enroll certificates. You typically request certificates against a certificate profile through its associated enrollment method. Each method defines its own interaction flow which you can read more about in its respective documentation. Guide to Creating a Certificate Profile To create a certificate profile, head to your Certificate Management Project > Certificates > Certificate Profiles and press Create Profile . Here’s some guidance on each field: Name: A slug-friendly name for the profile such as web-servers . Description: An optional description for the profile. Issuer Type: The type of issuer that should be used to issue certificates for the profile; this can be either Certificate Authority or Self-Signed . If Self-Signed is selected, then the profile will only support the API enrollment method and be used to issue self-signed certificates over REST API. Issuing CA: The issuing CA that should be used to issue certificates for the profile when the Issuer Type is set to Certificate Authority . Certificate Template: The certificate template that should be used to validate certificate requests for the profile. Enrollment Method: The enrollment method that should be used to enroll certificates for the profile such as ACME, EST, API, etc. Depending on which enrollment method you choose, you may be presented with additional enrollment-specific configuration fields. Was this page helpful? Yes No Suggest edits Raise issue Overview Templates ⌘ 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 | 2026-01-13T09:29:53 |
https://www.telegraph.co.uk/science/ | Science: News, updates & analysis - The Telegraph 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... Business Business home Economy Companies Markets Tech Money Money home Property Tax Pensions Banking Investing Net Zero Calculators Guides Travel Travel home Europe UK Worldwide City breaks Hotels Cruise Ski Advice Calculators Opinion Opinion home Obituaries Letters to the Editor Telegraph View Our columnists Cartoons Ukraine Ukraine home Daily podcast Weekly newsletter Health Health home Diet Fitness Conditions Wellbeing Parenting Guides Tools Recommended Recommended home Home Garden Sleep Tech Health & Fitness Beauty & Grooming Travel & Outdoors Parenting Lifestyle Lifestyle home Recipes Food & Drink Fashion Beauty Luxury Cars Gardening Culture Culture home TV Film Music Books Theatre Comedy Dance Opera Classical Art Telegraph Tickets Christmas Charity Appeal Puzzles Podcasts UK Edition US Edition Subscribe now Log in Login icon Follow us on: Facebook icon Instagram icon X icon Snapchat icon LinkedIn icon YouTube icon More from The Telegraph Download our app Help and support Newsletters Recommended Financial Solutions Events Dating Offers Travel offers Shop Garden shop Bookshop Tickets Puzzles Fantasy Football Work at The Telegraph Telegraph Corporate Announcements The Chelsea Magazine Company Voucher codes See top shops Samsung Nike ASOS eBay Currys Wayfair TUI JD Sports Travelodge Adidas Exercise could be as good at treating depression as antidepressants People saw the best results when they completed between 13 and 36 fitness sessions, study indicates Save Why all politicians should lean left to win an election Save Russia plans artificial gravity space station Save Talking while driving stops you seeing hazards Save The £150m meteorite that vanished off the face of the earth Save Black Death was caused by volcanic eruption Save Advertisement More stories Dimming the Sun to fight climate change is bad for planet, ministers fear Save Listen: Lions have two roars, scientists discover Save Toby Young The BBC abandoned impartiality years ago. A reckoning for the Covid lockdowns is overdue Save ‘I hear words spoken before they actually happen’ Save One of world’s last dinosaurs on sale for £3m Save Bjorn Lomborg Climate disaster science gets huge coverage. When it’s critiqued... crickets Save Blindness cured with ‘revolutionary’ bionic chip Save ‘A murderer used to live in my house – is his ghost ringing the doorbell at 3am?’ Save ‘My toddler’s doom-laden prophecies came true – is he psychic?’ Save Batman eats Robin! Europe’s largest bats feast on songbirds mid-flight Save Insect’s special skill could revolutionise surgery Save ‘I can’t explain why every hair on my neck rose while on a walk in Nairobi’ Save Saturn moon may contain life Save ‘I had a frightening experience in a National Trust house – was it haunted?’ Save Pagination Previous Next Science Latest science news, analysis and expert opinion, plus advice and updates 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 | 2026-01-13T09:29:53 |
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https://aws.amazon.com/filecache | High-Speed Cache – Amazon File Cache – Amazon Web Services Skip to main content Filter: All English Contact us AWS Marketplace Support My account Search Filter: All Sign in to console Create account Amazon File Cache Overview Features Pricing Getting Started FAQs Products › Storage › Amazon File Cache Amazon File Cache High-speed cache for datasets stored anywhere Get started with Amazon File Cache Contact sales support Why Amazon File Cache? Amazon File Cache provides a high-speed cache on AWS that makes it easier to process file data, regardless of where it’s stored. Play Benefits of Amazon File Cache Accelerate cloud bursting Accelerate cloud bursting workloads using cache storage designed to deliver sub-millisecond latencies, up to hundreds of GB/s of throughput, and millions of IOPS. For on-premises and in-cloud data sources Simplify access to multiple on-premises and in-cloud data sources with a unified view in a single namespace. Amazon S3 integration Unlock insights from data in Amazon S3 object storage using file-based applications without changing your workflow. How it works Amazon File Cache provides a high-speed cache on AWS that makes it easier to process file data, regardless of where it’s stored. Amazon File Cache serves as temporary, high-performance storage for data on premises or on AWS. The service allows you to make dispersed datasets available to file-based applications on AWS with a unified view and high speeds. Use cases Increase media workload agility Burst visual effects (VFX) rendering and transcoding workloads to AWS to meet peak compute needs during media production. Accelerate high performance computing Accelerate high performance computing (HPC) cloud bursting workloads with scalable cache performance that is designed to support hundreds of thousands of compute cores. Reduce machine learning (ML) training time Provide instant access to your on-premises and in-cloud datasets and maximize throughput to your training instances. Perform compute-intensive data analytics Run advanced analytics efficiently on petabytes of on-premises data by caching only the subsets that need to be processed. Get started with File Cache Learn more FAQs Learn more about Amazon File Cache Check out the FAQs Console Create a cache in minutes on the Amazon File Cache console Sign in Create an AWS account Learn What Is AWS? What Is Cloud Computing? What Is Agentic AI? Cloud Computing Concepts Hub AWS Cloud Security What's New Blogs Press Releases Resources Getting Started Training AWS Trust Center AWS Solutions Library Architecture Center Product and Technical FAQs Analyst Reports AWS Partners Developers Builder Center SDKs & Tools .NET on AWS Python on AWS Java on AWS PHP on AWS JavaScript on AWS Help Contact Us File a Support Ticket AWS re:Post Knowledge Center AWS Support Overview Get Expert Help AWS Accessibility Legal English Back to top Amazon is an Equal Opportunity Employer: Minority / Women / Disability / Veteran / Gender Identity / Sexual Orientation / Age. x facebook linkedin instagram twitch youtube podcasts email Privacy Site terms Cookie Preferences © 2026, Amazon Web Services, Inc. or its affiliates. All rights reserved. | 2026-01-13T09:29:53 |
https://www.notion.com/help/what-is-a-block | What is a block? – Notion Help Center Notion Features Notion AI Build, write, automate Agents Handles manual tasks Enterprise Search Find answers instantly AI Meeting Notes Perfectly written by AI Docs Simple & powerful Knowledge Base Centralize your knowledge Projects Manage any project Sites Publish anything, fast Get started Explore AI use cases See what Notion AI can do Browse marketplace Templates for everything View integrations Connect your apps with Notion Download web clipper Save from the web into Notion Try the Notion desktop app for a faster experience Download app Mail Calendar AI Enterprise Pricing Explore Teams Eng & Product Design Marketing IT Team size Startups SMBs Enterprise Education Learn Help center Notion Academy Customer stories Blog Community Partner programs Build API Templates Security Consultants Request a demo Log in Get Notion free Help Center Reference Getting started ← Getting started What is a block? Play Uh-oh! It looks like your ad blocker is preventing the video from playing. Please watch it on YouTube In this Article Think of Notion as a bottomless bin of building blocks. Build whatever you want, however you want 🧱 Contents Everything in Notion is a "block" Blocks can transform Blocks can be rearranged Everything in Notion is a "block" When you create your first page in Notion and begin typing, you've started with a text block. But Notion pages can contain a lot more than plain text! Imagine every piece of content you add to a page — whether it's text, an image, or a table — as a single building block. Every page is a stack of blocks combined however you want. Here's just one example page with different block types pointed out: Tip: Hit the / key on your keyboard (or tap the + button above your keyboard if you're on mobile) to see all the different types of content you can add. Blocks can transform Any block in Notion can be turned into any other type of block in order to use, view, or deepen that information in a new way. Try this out by clicking the ⋮⋮ symbol and choosing Turn into to convert your block to something else! Blocks can be rearranged The ⋮⋮ button can be used to drag and drop existing blocks. This makes it simple to rearrange, reorder, and reshape your thoughts with one motion. Learn more about block usage in this article → Give Feedback Was this resource helpful? 👍 👎 Up next Create a page Every page you create in Notion is a fresh canvas where you can add whatever content you want. Follow these steps to create your first one 📄 Read more → Reference Docs Getting started Start here What is a block? Create a page Create a subpage What is a database? Create a database Start with a template Share your work Collaborate with people Badges & certifications See all Workspace & sidebar Intro to workspaces Navigate with the sidebar Create, join & leave workspaces Create, join & leave teamspaces Search in your workspace Home & My tasks Workspaces on mobile Delete a workspace See all Pages & blocks Intro to writing & editing Format your page Style & customize your page Images, files & media Links & backlinks Wikis & verified pages Move & duplicate content Delete & restore content Synced blocks Code blocks Math equations Keyboard shortcuts Duplicate public pages Use pages offline See all Databases Intro to databases Views, filters, sorts & groups Database properties Relations & rollups Database settings Database templates Sub-items & dependencies Task databases & sprints Data sources Optimize database load times & performance Table view Board view Timeline view Calendar view List view Gallery view Chart view Unique ID Map view Forms Layouts Feed view See all Sharing & collaboration Sharing & permissions Manage members & guests Collaborate in a workspace Inbox & notifications Comments, mentions & reactions Reminders Suggested edits Page analytics Intro to teamspaces Who’s who in a workspace People profiles People Directory Create & manage groups See all Data & integrations Import data into Notion Export your content Back up your data Embeds, bookmarks & link mentions Add & manage integrations Notion API integrations Link previews Synced databases Connected properties Import from Asana Import from Confluence Import from Monday.com Integrate GitHub Integrate Slack Integrate Jira Common Jira Sync issues See all Automations Buttons Database buttons Database automations Webhook actions See all Formulas Intro to formulas Formula syntax & functions Common formula errors See all Notion apps Notion for desktop Notion for web Notion for mobile System requirements for Notion Notion beta program Mobile widgets Web Clipper Notion New Tab extension See all Plans, billing & payment Change your plan Billing How adding & removing members impacts billing Invoices Payment methods Refunds Notion for education Notion for startups Notion for creators Paid plan trials Understanding block usage What happens when I downgrade my plan? 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Notion AI for databases AI Meeting Notes (beta) Notion AI Connectors GitHub AI Connector Google Drive AI Connector Jira AI Connector (beta) Linear AI Connector Microsoft Teams AI Connector (beta) Microsoft SharePoint & OneDrive AI Connector (beta) Slack AI Connector Notion AI complimentary responses Notion AI security & privacy practices Enterprise Search security & privacy practices Notion’s commitment to AI safety Notion MCP Notion Agent Google Calendar AI Connector Notion Calendar AI Connector (beta) Microsoft Outlook AI Connector Enterprise Search Research Mode Gmail AI Connector (Beta) Notion Mail AI Connector (beta) See all Notion Calendar Create a Notion Calendar account Manage your calendars & events Scheduling & availability Blocking Time zones Manage your linked Notion account Notion Calendar settings Notion Calendar integrations & API Use Notion Calendar with Notion Notion Calendar for teams Notion Calendar keyboard shortcuts Notion Calendar apps Notion Calendar security practices See all Notion Sites Publish a Notion Site Edit & customize your Notion Sites Manage your Notion Sites Connect a custom domain with Notion Sites Notion Sites availability & pricing See all Notion Mail Get started with Notion Mail Navigate your inbox Compose an email Views, groups, filters & properties Schedule meetings with Notion Mail Use Notion AI with Notion Mail Notion Mail settings Notion Mail keyboard shortcuts Notion Mail security practices Can’t log into Notion Mail Notion Mail for mobile See all Marketplace Finding templates on Marketplace Selling on Marketplace Getting featured in Marketplace Marketplace guidelines & terms Become a Notion Solutions Partner Offering services on Marketplace Template localization on Marketplace Finding services on Marketplace See all Guides Browse by use case Notion AI Documentation Notes Project management Wiki Product Engineering Design HR & people Marketing Personal Enterprise Startup Demo Template gallery Automations Grow with Notion Notion Academy API Create integrations Support Email us Join our community Find a consultant English (US) Cookie settings © 2026 Notion Labs, Inc. 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https://www.telegraph.co.uk/prince-william/ | Prince William - The Telegraph 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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Newsletters Recommended Financial Solutions Events Dating Offers Travel offers Shop Garden shop Bookshop Tickets Puzzles Fantasy Football Work at The Telegraph Telegraph Corporate Announcements The Chelsea Magazine Company Voucher codes See top shops Samsung Nike ASOS eBay Currys Wayfair TUI JD Sports Travelodge Adidas Prince William Princess of Wales reflects on chemotherapy treatment with volunteers Royal couple make surprise visit to Charing Cross Hospital to thank staff for their efforts during peak season for viruses Victoria Ward 8 Jan 2026, 1:00pm Royals fly equivalent of twice around the world in helicopters Telegraph analysis shows the two choppers notched up a total 420 hours of flying time Victoria Ward 4 Jan 2026, 2:59pm Intruder twice got into grounds of Prince and Princess of Wales’s London home Man charged after allegedly trespassing at Kensington Palace while carrying a heavy rucksack Gwyn Wright 31 Dec 2025, 11:45pm Prince and Princess of Wales reveal favourite moments of 2025 Eric Williams 30 Dec 2025, 10:44pm Meghan, Harry and the worst job in the world Guy Kelly 29 Dec 2025, 6:11pm Andrew spends Christmas hundreds of miles from Royal family India McTaggart 25 Dec 2025, 3:21pm By standing with the SAS, the Prince of Wales shows he understands war Tom Tugendhat 24 Dec 2025, 4:54pm Advertisement In or out: 2025 was the year the Royal family split once and for all Division has been at the heart of the monarchy this year, but it also revealed new levels of steel and sympathy Hannah Furness 23 Dec 2025, 6:00am Prince George’s early royal life: ‘William is happy for him to have a taste, but not the full meal’ His visit to a homelessness charity this week has showcased the young prince’s competence in following in his father’s footsteps Guy Kelly 21 Dec 2025, 5:24pm Prince George follows Diana by serving Christmas dinner to homeless Young royal visits London shelter 32 years after his grandmother brought Prince William Hannah Furness 20 Dec 2025, 9:20pm Prince of Wales agrees to be Special Air Service patron Prince William, who spent his early career in the elite Army, said he accepts his new role with ‘deep honour and respect’ Telegraph Reporters 20 Dec 2025, 2:18pm Prince and Princess of Wales release Christmas card Photograph taken in Norfolk shows couple with their three children in a field of daffodils India McTaggart 18 Dec 2025, 9:47am Prince of Wales: Greenery is so good for our minds and bodies William discusses power of nature in charity campaign with former Lioness Jill Scott India McTaggart 16 Dec 2025, 2:09pm Princess Marie-Chantal: The Waleses have ‘done an excellent job’ of dressing their children The royal shares the principles behind her approach to young wardrobes – and why she believes classic design still carries real power Ella Alexander 15 Dec 2025, 6:00pm Prince William takes it slow The Telegraph’s weekly Peterborough diary column offers an unparalleled insight into what’s really going on at Westminster and beyond Christopher Hope 12 Dec 2025, 7:09pm Prince William: I don’t want to be an ‘ornamental patron’ Royal marks 20 years of working with Centrepoint as charity for the homeless hails his hands-on approach Hannah Furness 9 Dec 2025, 5:21pm Mind your knees, Prince William tells marathon man Kevin Sinfield The Prince of Wales described the star’s charity run, where he is set to complete seven marathons in seven days, as ‘incredible’ Telegraph Reporters 6 Dec 2025, 4:02pm The palatial homes with peppercorn rents posing problems for the Royal family Andrew may be leaving Royal Lodge, but he’s triggered wider scrutiny of the homes occupied by other members of the Firm Melissa Twigg 6 Dec 2025, 1:00pm The very particular relationship between Germany and our Royal family A service in Coventry Cathedral – part of President Steinmeier’s state visit – marks the latest chapter in a tangled history Iain Hollingshead 5 Dec 2025, 7:12pm King shares jokes and warm words with German president at state banquet His Majesty spoke of turning the ‘darkest times’ into ‘honest friendship’ despite Germany being better at football Hannah Furness 3 Dec 2025, 10:32pm Advertisement King: ‘Football is a shared endeavour... where the Germans always win’ Hannah Furness 3 Dec 2025, 10:29pm What’s the Monarchy For? review: This BBC attack would not have gone out in the late Queen’s lifetime 3/5 David Dimbleby launches an extraordinary broadside against the Royal family in a three-part BBC One documentary Chris Bennion 2 Dec 2025, 10:00pm Princess of Wales: Christmas is not about ‘sentimental gestures’ In a letter sent to guests of her carol service, the Princess talks about the importance of personal interaction Hannah Furness 2 Dec 2025, 10:00pm Prince William: Wales ‘unlike any other nation in the world’ Prince addressed investment summit, saying he was proud to continue King’s leadership in championing the nation’s business and innovation Victoria Ward 1 Dec 2025, 5:19pm Prince of Wales visits ‘courageous’ Gazan children treated by NHS William moved by encounter with young people evacuated for specialist care amid healthcare crisis in war zone Victoria Ward 29 Nov 2025, 10:00pm Sea shanty singers to perform at Princess of Wales carol service Fisherman’s Friends among artists to sing at Christmas service where members of the Royal family will celebrate ‘love in all its forms’ Victoria Ward 29 Nov 2025, 7:00am Prince of Wales tips pub £25 after surprise meal Prince William ate a burger and fries during his surprise visit to the Walnut Tree Inn Telegraph Reporters 28 Nov 2025, 4:45pm The Daily T: ‘Meghan’s spending too much!’: The late Queen’s angry phone call with Harry revealed Royal reporter Robert Jobson explains what Elizabeth II really thought of the Sussexes Camilla Tominey 28 Nov 2025, 4:11pm My children love Fawlty Towers, Prince of Wales tells John Cleese William makes admission to actor at Tusk Trust awards as he pays tribute to conservationists in Africa 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https://wiki.creativecommons.org/wiki/Frequently_Asked_Questions#business-models | Frequently Asked Questions - Creative Commons Skip to content Creative Commons Menu Who We Are What We Do Licenses and Tools Blog Support Us Search Donate Explore CC Global Network Join a global community working to strengthen the Commons Certificate Become an expert in creating and engaging with openly licensed materials Global Summit Attend our annual event, promoting the power of open licensing Chooser Get help choosing the appropriate license for your work Search Portal Find engines to search openly licensed material for creative and educational reuse Open Source Help us build products that maximize creativity and innovation Frequently Asked Questions English | Français 2025-05-12 19:36:36 UTC About CC What is Creative Commons and what do you do? Is Creative Commons against copyright? What does “Some Rights Reserved” mean? Can Creative Commons give legal advice about its licenses or other tools, or help with CC license enforcement? Does Creative Commons collect or track material licensed under a CC license? What do the Creative Commons buttons do? May I use the Creative Commons logo and buttons? I love Creative Commons. How can I help? Why does Creative Commons run an annual fundraising campaign? What is the money used for and where does it go? General License Information What are Creative Commons licenses? How do CC licenses operate? Which is the latest version of the licenses offered by Creative Commons? Do Creative Commons licenses affect exceptions and limitations to copyright, such as fair dealing and fair use? Who gives permission to use material offered under Creative Commons licenses? Are Creative Commons licenses enforceable in a court of law? What happens if someone applies a Creative Commons license to my work without my knowledge or authorization? What are the international (“unported”) Creative Commons licenses, and why does CC offer “ported” licenses? Can I include a work licensed with CC BY in a Wikipedia article even though they use a CC BY-SA license? Can governments and intergovernmental organizations (“IGOs”) use CC licenses? Can children apply Creative Commons licenses to work they create? What are the official translations of the CC licenses and CC0? What is a BY-SA Compatible License? For Licensors Choosing a license What things should I think about before I apply a Creative Commons license? How should I decide which license to choose? Why should I use the latest version of the Creative Commons licenses? What if CC licenses have not been ported to my jurisdiction? Should I choose an international license or a ported license? Why should I use the license chooser? What if I don’t? How do I apply a Creative Commons license to my material? Do I need to register with Creative Commons before I obtain a license? What do the terms and conditions of a CC license apply to? Can I apply a Creative Commons license to software? Can I apply a Creative Commons license to databases? Could I use a CC license to share my logo or trademark? May I apply a Creative Commons license to a work in the public domain? If I take a photograph of another work that is in the public domain, can I apply a CC license to my photo? May I apply a CC license to my work if it incorporates material used under fair use or another exception or limitation to copyright? Rights other than copyright Can I use CC licenses to license rights other than copyright? How do Creative Commons licenses affect my moral rights, if at all? Can I offer material under a CC license that has my trademark on it without also licensing or affecting rights in the trademark? How are publicity, privacy, and personality rights affected when I apply a CC license? What is the difference between plagiarism and copyright infringement? And what role do CC licenses play to address plagiarism? Business models Can I apply a CC license to low-resolution copies of a licensed work and reserve more rights in high-resolution copies? Can I use a Creative Commons license if I am a member of a collecting society? Can I still make money from a work I make available under a Creative Commons license? Alterations and additions to the license Can I insist on the exact placement of the attribution credit? Can I change the license terms or conditions? Can I waive license terms or conditions? Can I enter into separate or supplemental agreements with users of my work? After licensing What happens if I offer my material under a Creative Commons license and someone misuses them? What can I do if I offer my material under a Creative Commons license and I do not like the way someone uses it? Do I have to provide my name? Can I ask that my name be removed? What do I do if someone tries to place effective technological measures (such as DRM) on my CC-licensed material? When I release my work under a CC license in one format (e.g., .pdf), can I restrict licensees from changing it to or using it in other formats? What if I change my mind about using a CC license? For Licensees Before using CC-licensed material What should I think about before using material offered under a Creative Commons license? Does a Creative Commons license give me all the rights I need to use the work? What if there are sui generis database rights that apply to my use of a CC-licensed database? Where can I find material offered under a CC license? Are Creative Commons works really free to use? What should I know about differences between the international licenses and the ported licenses? General license compliance What happens if I want to use the material in a way that is not permitted by the license? Do I always have to comply with the license terms? If not, what are the exceptions? Attribution How do I properly attribute material offered under a Creative Commons license? Do I need to be aware of anything else when providing attribution? Do I always have to attribute the creator of the licensed material? Using licensed material Does my use violate the NonCommercial clause of the licenses? Can I take a CC-licensed work and use it in a different format? How do I know if a low-resolution photo and a high-resolution photo are the same work? Can I reuse an excerpt of a larger work that is licensed with the NoDerivs restriction? Can I use effective technological measures (such as DRM) when I share CC-licensed material? Can I share CC-licensed material on password-protected sites? Can I share CC-licensed material on file-sharing networks? Do I need to worry about website terms of service when I share CC-licensed content on social media platforms? Additional restrictions on licensed material What if I received CC-licensed material encumbered with effective technological measures (such as DRM)? What if I have received CC-licensed material with additional restrictions? Combining and adapting CC material When is my use considered an adaptation? Can I combine material under different Creative Commons licenses in my work? If I derive or adapt material offered under a Creative Commons license, which CC license(s) can I use? If I create a collection that includes a work offered under a CC license, which license(s) may I choose for the collection? License termination When do Creative Commons licenses expire? What happens if the author decides to revoke the CC license to material I am using? How can I lose my rights under a Creative Commons license? If that happens, how do I get them back? Technical Questions How do Creative Commons licenses and public domain tools work technically? What does it mean that Creative Commons licenses are “machine-readable”? What is RDFa? What is CC REL and why does Creative Commons recommend it? What does it mean for a search engine to be CC-enabled? How do I give users of my site the option to use CC licensing like Flickr does? How can I change or remove the Creative Commons search option built into the Firefox browser? Is Creative Commons involved in digital rights management (DRM)? Legal Background What is copyright and why does it matter? What is the public domain? What do I need to do to get a copyright? What is an adaptation? What are moral rights? What are neighboring rights? What are sui generis database rights? What are collecting societies? What are publicity, personality, and privacy rights? Data Frequently asked questions about data and CC licenses Can databases be released under CC licenses? When a CC license is applied to a database, what is being licensed? How do I apply a CC legal tool to a database? How do the different CC license elements operate for a CC-licensed database? Can I conduct text/data mining on a CC-licensed database? How does the treatment of sui generis database rights vary in prior versions of CC licenses? What is the difference between the Open Data Commons licenses and the CC 4.0 licenses? Frequently asked questions about data, generally Which components of databases are protected by copyright? How do I know whether a particular use of a database is restricted by copyright? If my use of a database is restricted by copyright, how do I comply with the license? Which components of a database are protected by sui generis database rights? How do I know whether a particular use of a database is restricted by sui generis database rights? What constitutes a “substantial portion” of a database? If my use of a database is restricted by sui generis database rights, how do I comply with the license? Artificial intelligence and CC licenses What are the limits on how CC-licensed works can be used in the development of new technologies, such as training of artificial intelligence software? But what about privacy laws, rules governing ethical research, and data protection laws? What attribution obligations exist when CC-licensed images are included in a published dataset? Is linking to the original image or URI required, and if so, is it adequate? If a for-profit company uses CC-licensed content under a Non Commercial license and releases the work under terms that allow only research purposes, is the NC restriction violated? If CC SA-licensed content is included in a database, does the entire database have to be licensed under an SA license? What, if any, remedies, do users have if they dislike how their photos or images have been reused? Notes These FAQs are designed to provide a better understanding of Creative Commons, our licenses, and our other legal and technical tools. They provide basic information, sometimes about fairly complex topics, and will often link to more detailed information. Other CC FAQs: CC0 Public Domain Dedication and Public Domain Mark . “Licensor”, “rights holder”, “owner”, and “creator” may be used interchangeably to refer to the person or entity applying a CC license. Information about the licenses is primarily made with reference to the 4.0 suite, but earlier license versions are mentioned where they differ. Have a question that isn’t answered here? Contact info@creativecommons.org. Creative Commons does not provide legal advice. This FAQ is for informational purposes and is not a substitute for legal advice. It may not cover important issues that affect you. You should consult with your own lawyer if you have questions. About CC What is Creative Commons and what do you do? Creative Commons is a global nonprofit organization that enables sharing and reuse of creativity and knowledge through the provision of free legal tools. Our legal tools help those who want to encourage reuse of their works by offering them for use under generous, standardized terms; those who want to make creative uses of works; and those who want to benefit from this symbiosis. Our vision is to help others realize the full potential of the internet. CC has affiliates all over the world who help ensure our licenses work internationally and who raise awareness of our work. Although Creative Commons is best known for its licenses, our work extends beyond just providing copyright licenses. CC offers other legal and technical tools that also facilitate sharing and discovery of creative works, such as CC0 , a public domain dedication for rights holders who wish to put their work into the public domain before the expiration of copyright, and the Public Domain Mark , a tool for marking a work that is in the worldwide public domain. Creative Commons licenses and tools were designed specifically to work with the web, which makes content that is offered under their terms easy to search for, discover, and use. For more information about CC, our main website contains in-depth information about the organization , its staff and board of directors , its history , and its supporters . You can also read CC case studies to learn about some of the inspiring ways CC licenses and tools have been used to share works and support innovative business models. You can find regularly updated information about CC by visiting the blog . Is Creative Commons against copyright? Absolutely not. CC has responded to claims to the contrary . CC licenses are copyright licenses, and depend on the existence of copyright to work. CC licenses are legal tools that creators and other rights holders can use to offer certain usage rights to the public, while reserving other rights. Those who want to make their work available to the public for limited kinds of uses while preserving their copyright may want to consider using CC licenses. Others who want to reserve all of their rights under copyright law should not use CC licenses. That said, Creative Commons recognizes the need for change in copyright law, and many members of the Creative Commons community are active participants in the copyright reform movement. For more information, see our statement in support of copyright reform . What does “Some Rights Reserved” mean? Copyright grants to creators a bundle of exclusive rights over their creative works, which generally include, at a minimum, the right to reproduce, distribute, display, and make adaptations. The phrase “All Rights Reserved” is often used by owners to indicate that they reserve all of the rights granted to them under the law. When copyright expires, the work enters the public domain , and the rights holder can no longer stop others from engaging in those activities under copyright, with the exception of moral rights reserved to creators in some jurisdictions. Creative Commons licenses offer creators a spectrum of choices between retaining all rights and relinquishing all rights (public domain), an approach we call “Some Rights Reserved.” Can Creative Commons give legal advice about its licenses or other tools, or help with CC license enforcement? No. Creative Commons is not a law firm and does not provide legal advice or legal services. CC is similar to a self-help service that offers free, form-based legal documents for others to use. These FAQ answers many of the most common questions. There is also specialized information available on the following pages: Marking practices for creators Marking practices for reusers Data FAQ Differences between CC license versions Differences between jurisdiction ports of earlier license versions Public domain mark FAQ CC0 FAQ While CC does provide this informational guidance about its licenses and other tools, this information may not apply to your particular situation, and should never be taken as legal advice. If you’re looking for legal advice about using CC licenses and other tools, we recommend contacting the Creative Commons affiliate in your jurisdiction . CC affiliates are highly connected to the communities of copyright lawyers in their countries. We also offer a list of lawyers and organizations who have identified themselves as willing to provide information to others about CC licensing issues. However, please note that CC does not provide referral services, and does not endorse or recommend any person on that list. Does Creative Commons collect or track material licensed under a CC license? No, CC does not collect content or track licensed material. However, CC builds technical tools that help the public search for and use works licensed under our licenses and other legal tools, and many others have built such tools as well. CC Search is one tool developed by CC to help the public discover works offered under Creative Commons licenses on the internet via CC-aware search engines and repositories. What do the Creative Commons buttons do? The CC buttons are a shorthand way to convey the basic permissions associated with material offered under CC licenses. Creators and owners who apply CC licenses to their material can download and apply those buttons to communicate to users the permissions granted in advance. When the material is offered online, the buttons should usually link out to the human-readable license deeds (which, in turn, link to the license itself). May I use the Creative Commons logo and buttons? You may download high resolution versions of the Creative Commons logos and use them in connection with your work or your website, provided you comply with our policies . Among other things, if you use the logos on a website or on your work, you may not alter the logos in any respect—such as by changing the font, the proportions, or the colors. CC’s buttons, name, and corporate logo (the “CC” in a circle) are trademarks of Creative Commons. You cannot use them in ways not permitted by our policies unless you first receive express, written permission. This means, for example, that you cannot (without our permission) print your own buttons and t-shirts using CC logos, although you can purchase them in CC’s store . I love Creative Commons. How can I help? Please support CC by making a donation through our support page . Donations can be handled through PayPal or by credit card. You can also support CC by visiting our store . CC always welcomes your feedback, which you can provide by emailing info at creativecommons dot org . You can also participate in CC’s email discussion lists and share feedback and ideas in one of those forums. If you are a software developer, sysadmin, or have other technical expertise, please join our developer community and help build the tools that build the commons. Finally, one of the best ways to support CC is by supporting our causes yourself. Follow our blog to find out about current issues where you can help get involved and spread the word, and advocate for free and open licensing in your own communities. Why does Creative Commons run an annual fundraising campaign? What is the money used for and where does it go? Creative Commons is a global nonprofit organization that enables sharing and reuse of creativity and knowledge through free legal tools, with affiliates all over the world who help ensure our licenses work internationally and raise awareness about our work. Our tools are free, and our reach is wide. In order to… continue developing our licenses and public domain tools to make sure they are legally and technically up-to-date around the world, help creators implement these tools on websites through best practices and individual assistance, enable CC licensing on major content-sharing platforms, enhance CC-licensed resource search and discovery, advocate for CC licensing and open policies in education , science , and culture , and myriad other activities we’re forgetting to mention, such as all the everyday boring but essential operations that go into running an organization …we need $ to make it all happen! For more information, please take a look at our Annual Report . Creative Commons has always relied on the generosity of both individuals and organizations to fund its ongoing operations. It is essential we have the public’s support because it is the creators and users of CC material who make our tools relevant in this digital age. They depend on the tools and services CC provides through their reuse and remix of the rich, open resources available on Wikipedia , Flickr , SoundCloud , Vimeo , Europeana , MIT OpenCourseWare , PLOS , Al Jazeera , and YouTube —just to name a few. Many of these people donate $10, $25, or $50 to CC, to help keep it up and running so we can continue to provide our tools and services for free, as a nonprofit organization. The more people who donate to CC, the more independent it will remain. General License Information What are Creative Commons licenses? Creative Commons licenses provide an easy way to manage the copyright terms that attach automatically to all creative material under copyright . Our licenses allow that material to be shared and reused under terms that are flexible and legally sound. Creative Commons offers a core suite of six copyright licenses. Because there is no single “Creative Commons license,” it is important to identify which of the six licenses you are applying to your material, which of the six licenses has been applied to material that you intend to use, and in both cases the specific version. All of our licenses require that users provide attribution (BY) to the creator when the material is used and shared. Some licensors choose the BY license, which requires attribution to the creator as the only condition to reuse of the material. The other five licenses combine BY with one or more of three additional license elements: NonCommercial (NC), which prohibits commercial use of the material; NoDerivatives (ND), which prohibits the sharing of adaptations of the material; and ShareAlike (SA), which requires adaptations of the material be released under the same license. CC licenses may be applied to any type of work, including educational resources , music , photographs , databases , government and public sector information , and many other types of material . The only categories of works for which CC does not recommend its licenses are computer software and hardware. You should also not apply Creative Commons licenses to works that are no longer protected by copyright or are otherwise in the public domain . Instead, for those works in the worldwide public domain, we recommend that you mark them with the Public Domain Mark . How do CC licenses operate? CC licenses are operative only when applied to material in which a copyright exists, and even then only when a particular use would otherwise not be permitted by copyright. Note that the latest version of CC licenses also applies to rights similar to copyright, such as neighboring rights and sui generis database rights . Learn more about the scope of the licenses. This means that CC license terms and conditions are not triggered by uses permitted under any applicable exceptions and limitations to copyright , nor do license terms and conditions apply to elements of a licensed work that are in the public domain. This also means that CC licenses do not contractually impose restrictions on uses of a work where there is no underlying copyright. This feature (and others) distinguish CC licenses from some other open licenses like the ODbL and ODC-BY , both of which are intended to impose contractual conditions and restrictions on the reuse of databases in jurisdictions where there is no underlying copyright or sui generis database right. All CC licenses are non-exclusive: creators and owners can enter into additional, different licensing arrangements for the same material at any time (often referred to as “dual-licensing” or “multi-licensing”). However, CC licenses are not revocable once granted unless there has been a breach, and even then the license is terminated only for the breaching licensee. Please note that CC0 is not a license; it is a public domain dedication. When CC0 is applied to a work, copyright no longer applies to the work in most jurisdictions around the world. Therefore, references to dual licensing arrangements like the one above are inapplicable to CC0. There are also videos and comics that offer visual descriptions of how CC licenses work. Which is the latest version of the licenses offered by Creative Commons? In November 2013, Creative Commons published the version 4.0 license suite. These licenses are the most up-to-date licenses offered by CC, and are recommended over all prior versions. You can see how the licenses have been improved over time on the license versions page . 4.0 has been drafted to be internationally valid, and will have official translations becoming available after publication. Do Creative Commons licenses affect exceptions and limitations to copyright, such as fair dealing and fair use? No. By design, CC licenses do not reduce, limit, or restrict any rights under exceptions and limitations to copyright, such as fair use or fair dealing . If your use of CC-licensed material would otherwise be allowed because of an applicable exception or limitation, you do not need to rely on the CC license or comply with its terms and conditions. This is a fundamental principle of CC licensing. Who gives permission to use material offered under Creative Commons licenses? Our licenses and legal tools are intended for use by anyone who holds copyright in the material. This is often, but not always, the creator. Creative Commons offers licenses and tools to the public free of charge and does not require that creators or other rights holders register with CC in order to apply a CC license to a work. This means that CC does not have special knowledge of who uses the licenses and for what purposes, nor does CC have a way to contact creators beyond means generally available to the public. CC has no authority to grant permission on behalf of those persons, nor does CC manage those rights on behalf of others. If you would like to obtain additional permissions to use the work beyond those granted by the license that has been applied, or if you’re not sure if your intended use is permitted by the license, you should contact the rights holder . Are Creative Commons licenses enforceable in a court of law? Creative Commons licenses are drafted to be enforceable around the world, and have been enforced in court in various jurisdictions. To CC’s knowledge, the licenses have never been held unenforceable or invalid. CC licenses contain a “severability” clause. This allows a court to eliminate any provision determined to be unenforceable, and enforce the remaining provisions of the license. What happens if someone applies a Creative Commons license to my work without my knowledge or authorization? CC alerts prospective licensors they need to have all necessary rights before applying a CC license to a work. If that is not the case and someone has marked your work with a CC license without your authorization, you should contact that person and tell them to remove the license from your work. You may also wish to contact a lawyer. Creative Commons is not a law firm and cannot represent you or give you legal advice, but there are lawyers who have identified themselves as interested in representing people in CC-related matters . What are the international (“unported”) Creative Commons licenses, and why does CC offer “ported” licenses? One of CC’s goals is ensuring that all of its legal tools work globally, so that anyone anywhere in the world can share their work on globally standard terms. To this end, CC offers a core suite of six international copyright licenses (formerly called the “unported”) that are drafted based largely on various international treaties governing copyright , taking into account as many jurisdiction-specific legal issues as possible. The latest version (4.0) has been drafted with particular attention to the needs of international enforceability. For version 3.0 and earlier, Creative Commons has also offered ported versions of its six core licenses for many jurisdictions (which usually correspond to countries, but not always). These ported licenses are based on the international license suite but have been modified to reflect local nuances in the expression of legal terms and conditions, drafting protocols, and language. The ported licenses and the international licenses are all intended to be legally effective everywhere. CC expects that few, if any, ports will be necessary for 4.0. CC recommends that you take advantage of the improvements in the 4.0 suite explained on the license versions page unless there are particular considerations you are aware of that would require a ported license. Can I include a work licensed with CC BY in a Wikipedia article even though they use a CC BY-SA license? Yes. Works licensed under CC BY may be incorporated into works that are licensed under CC BY-SA. For example, you may incorporate a CC BY photograph into a Wikipedia article so long as you keep all copyright notices intact, provide proper attribution, and otherwise comply with the terms of CC BY. Learn more about the licenses. Can governments and intergovernmental organizations (“IGOs”) use CC licenses? Yes, anyone may use CC licenses for material they own, including governments and IGOs, and these institutions frequently use CC licenses on their copyrightable material . The reasons for doing so vary, and often include a desire to maximize the impact and utility of works for educational and informational purposes, and to enhance transparency. Creative Commons licenses have desirable features that make them the preferred choice over custom licenses. CC licenses are standard and interoperable, which means material published by different creators using the same type of CC license can be translated, modified, compiled, and remixed without legal barriers depending on the particular license applied . Creative Commons licenses are also machine-readable, allowing CC-licensed works to be easily discovered via search engines such as Google. These features maximize distribution, reuse, and impact of works published by governments and IGOs. Though we encourage anyone to use version 4.0, which is internationally valid and may be used by individuals as well as organizations, there is an IGO ported version of 3.0 that IGOs may also use. Read more about how governments and IGOs use and leverage CC licenses and legal tools, considerations for using our licenses, and how they operate in the IGO context. Can children apply Creative Commons licenses to work they create? This issue depends largely on the laws in place where the child lives. In the United States, children can be copyright holders and are entitled to license their works in the same manner as adults. However, they may have the right to disaffirm certain types of legal agreements, including licenses. In many parts of the United States, for example, children have the ability to disaffirm some types of agreements under certain circumstances once they reach the age where they are considered adults within the relevant jurisdiction. We are unaware of any attempt by a licensor to exercise the disaffirmation right with respect to a CC license applied to a work. What are the official translations of the CC licenses and CC0? Official language translations will be available for the 4.0 licenses and CC0. When you license your own work, you may use or link to the text of any available official translation. When you reuse CC-licensed material, you may comply with the license conditions by referring to any available official translation of the license. These translations are linguistic translations of the English version which adhere as closely as possible to the original text. These translations have been done by our affiliates in accordance with the Legal Code Translation Policy and with the oversight and detailed review of the CC legal team. Note that these are equivalents of the original English; these translations are not jurisdiction ported versions . You may find a list of all available translations here . For versions 3.0 and earlier, official translations are not available. Some unofficial translations were made for informational purposes only. (Jurisdiction ported versions of version 3.0 and earlier were generally published in the official language(s) of the appropriate jurisdiction. However, the ported licenses are not equivalent to the international licenses, and do not serve as substitutable references for purposes of complying with the terms and conditions of the licenses.) What is a BY-SA Compatible License? A BY-SA Compatible License is a license officially designated by Creative Commons pursuant to the ShareAlike compatibility process . Once deemed a BY-SA Compatible License, you may use the license to publish your contributions to an adaptation of a BY-SA work. To see the list of BY-SA Compatible Licenses, click here . Learn more about ShareAlike compatibility here . For Licensors Choosing a license What things should I think about before I apply a Creative Commons license? Applying a Creative Commons license to your material is a serious decision. When you apply a CC license, you give permission to anyone to use your material for the full duration of applicable copyright and similar rights. CC has identified some things that you should consider before you apply a CC license, some of which relate to your ability to apply a CC license at all. Here are some highlights: Is the material copyrightable? If not, is it subject to neighboring rights or sui generis database rights ? CC licenses do not apply to material in the public domain . Different countries have different standards for what is in the public domain. Do you own the material you want to license? If not, are you otherwise authorized to license it under the specific CC license you are interested in using? You should not apply a license to material that you do not own or that you are not authorized to license. Are you aware that CC licenses are not revocable ? You are free to stop offering material under a CC license at any time, but this will not affect the rights associated with any copies of your work already in circulation. (Any particular licensee may lose his or her rights after violating the license, but this does not affect continual use of the work by other licensees.) Are you a member of a collecting society ? If you are, you should make sure that you are able to use CC licenses for your materials . Always read the terms and conditions of the specific license you plan to apply. Additionally, there are several terms that may differ in the earlier versions of the license , both unported and ported. If you choose to use a pre-4.0 version or any ported version , clauses such as choice of law may affect your desired choice of license. How should I decide which license to choose? If you are unsure which license best suits your needs, there are plenty of resources to help rights holders choose the right CC license. CC Australia has developed a flow chart that may be useful in helping you settle on the right license for your work. You can also read case studies of others who are using CC licenses. The CC community can also respond to questions, and may have already addressed issues you raise. The CC community email discussion lists and discussion archives may be useful resources. Finally, you may also want to consult with a lawyer to obtain advice on the best license for your needs. Why should I use the latest version of the Creative Commons licenses? The latest version of the Creative Commons licenses is version 4.0. You should always use the latest version of the Creative Commons licenses in order to take advantage of the many improvements described on the license versions page . In particular, 4.0 is meant to be better suited to international use, and use in many different contexts, including sharing data . What if CC licenses have not been ported to my jurisdiction? All CC licenses are intended to work worldwide. Unless you have a specific reason to use a ported license , we suggest you consider using one of the international licenses. 4.0 will support official translations of the international license for those who wish to use the licenses in another language. As of version 4.0, CC is discouraging ported versions, and has placed a hold on new porting projects following its publication until sometime in 2014. At that point, CC will reevaluate the necessity of porting in the future. Should I choose an international license or a ported license? We recommend that you use a version 4.0 international license. This is the most up-to-date version of our licenses, drafted after broad consultation with our global network of affiliates, and it has been written to be internationally valid. There are currently no ports of 4.0, and it is planned that few, if any, will be created. All of the ported licenses are at version 3.0 or earlier, which means licensors using those licenses do not have the benefit of the improvements made in the 4.0 license suite . But even before considering the improvements in 4.0, there are several reasons why the international licenses may be preferable for rights holders, even if the licenses have been ported to their jurisdiction. As an organization, CC itself licenses all of its own content under an international license because, among other reasons, the international licenses are essentially jurisdiction-neutral while remaining effective globally. The neutral nature of the international licenses appeals to many people and organizations, particularly for use in connection with global projects that transcend political borders. Finally, it is important to know that some of the ported licenses contain a choice of law provision, which may be undesirable for your needs. However, some rights holders still choose a license ported to their local jurisdiction because they believe their needs are not sufficiently met by the international licenses. If the licenses have been ported to your jurisdiction and you feel that the ported licenses better account for some aspect of local legislation, then you may wish to consider a ported license. You can use our jurisdiction database to compare international licenses and ports on these issues and others, such as whether a ported license contains a choice of law or forum selection clause. Why should I use the license chooser? What if I don’t? Licensors are not required to use the CC license chooser or provide any information about themselves or their material when applying a CC license to their material. However, using the license chooser enables licensors to take advantage of the “machine readable” layer of CC licenses. Our machine-readable code enhances the discoverability of your work because that code allows software, search engines, and other tools to recognize when something is licensed under a CC license. The code also facilitates attribution: when users click on the CC button placed on your site, they will be linked directly to HTML code that they can cut and paste to provide attribution. How do I apply a Creative Commons license to my material? For online material : Select the license that is appropriate for your material from the CC license chooser and then follow the instructions to include the HTML code. The code will automatically generate a license button and a statement that your material is licensed under a CC license. If you are only licensing part of a work (for example, if you have created a video under a CC license but are using a song under a different license), be sure to clearly mark which parts are under the CC license and which parts are not. The HTML code will also include metadata, which allows the material to be discovered via Creative Commons-enabled search engines . For offline material : Identify which license you wish to apply to your work and either (a) mark your work with a statement such as, “This work is licensed under the Creative Commons [insert description] License. To view a copy of the license, visit [insert url]”; or (b) insert the applicable license buttons with the same statement and URL link. For third-party platforms : Many media platforms like Flickr , YouTube , and SoundCloud have built-in Creative Commons capabilities, letting users mark their material with a CC license through their account settings. The benefit of using this functionality is that it allows other people to find your content when searching on those platforms for CC-licensed material . If the platform where you’re uploading your content does not support CC licensing, you can still identify your content as CC-licensed in the text description of your content. Legally, these three options are the same. The only difference between applying a CC license offline rather than online is that marking a work online with metadata will ensure that users will be able to find it through CC-enabled search engines. CC offers resources on the best practices for marking your material and on how to mark material in different media (.pdf) . Do I need to register with Creative Commons before I obtain a license? No. CC offers its licenses, code, and tools to the public free of charge, without obligation. You do not need to register with Creative Commons to apply a CC license to your material; it is legally valid as soon as you apply it to any material you have the legal right to license. CC does not require or provide any means for creators or other rights holders to register use of a CC license, nor does CC maintain a database of works distributed under Creative Commons licenses. CC also does not require registration of the work with a national copyright agency. What do the terms and conditions of a CC license apply to? Although CC licenses get attached to tangible works (such as photos and novels), the license terms and conditions apply to the licensor’s copyright in the licensed material. The public is granted “permission to exercise” those rights in any medium or format . It is the expression that is protected by copyright and covered by the licenses, not any particular medium or format in which the expression is manifested. This means, for example, that a CC license applied to a digitized copy of a novel grants the public permission under copyright to use a print version of the same novel on the same terms and conditions (though you may have to purchase the print version from a bookstore). Can I apply a Creative Commons license to software? We recommend against using Creative Commons licenses for software. Instead, we strongly encourage you to use one of the very good software licenses which are already available. We recommend considering licenses listed as free by the Free Software Foundation and listed as “open source” by the Open Source Initiative . Unlike software-specific licenses, CC licenses do not contain specific terms about the distribution of source code, which is often important to ensuring the free reuse and modifiability of software. Many software licenses also address patent rights, which are important to software but may not be applicable to other copyrightable works. Additionally, our licenses are currently not compatible with the major software licenses, so it would be difficult to integrate CC-licensed work with other free software. Existing software licenses were designed specifically for use with software and offer a similar set of rights to the Creative Commons licenses. Version 4.0 of CC’s Attribution-ShareAlike (BY-SA) license is one-way compatible with the GNU General Public License version 3.0 (GPLv3). This compatibility mechanism is designed for situations in which content is integrated into software code in a way that makes it difficult or impossible to distinguish the two. There are special considerations required before using this compatibility mechanism. Read more about it here . Also, the CC0 Public Domain Dedication is GPL-compatible and acceptable for software. For details, see the relevant CC0 FAQ entry . While we recommend against using a CC license on software itself, CC licenses may be used for software documentation, as well as for separate artistic elements such as game art or music. Can I apply a Creative Commons license to databases? Yes. CC licenses can be used on databases . In the 4.0 license suite, applicable sui generis database rights are licensed under the same license conditions as copyright. Many governments and others use CC licenses for data and databases. For more detailed information about how CC licenses apply to data and databases, visit our detailed Data FAQ . Could I use a CC license to share my logo or trademark? Creative Commons does not recommend using a CC license on a logo or trademark. While a logo or trademark can be covered by copyright laws in addition to trademark laws, the special purposes of trademarks make CC licenses an unsuitable mechanism for sharing them in most cases. Generally, logos and trademarks are used to identify the origin of a product or service, or to indicate that it meets a specific standard or quality. Allowing anyone to reuse or modify your logo or trademark as a matter of copyright could result in your inability to limit use of your logo or trademark selectively to accomplish those purposes. Applying a CC license to your trademarks and logos could even result in a loss of your trademark rights altogether. See below for more about how to license material that includes a trademark or logo. There are other ways to share your logos and trademarks widely while preserving your trademark rights. Establishing a trademark policy that grants permissions in advance for limited uses is one common alternative. Mozilla , Wikimedia , and Creative Commons have each published policies that accomplish the dual objectives of encouraging reuse and preserving trademark rights. May I apply a Creative Commons license to a work in the public domain? CC licenses should not be applied to works in the worldwide public domain . All CC licenses are clear that they do not have the effect of placing restrictions on material that would otherwise be unrestricted, and you cannot remove a work from the public domain by applying a CC license to it. If you want to dedicate your own work to the public domain before the expiration of applicable copyright or similar rights, use CC’s legally robust public domain dedication . If a work is already in the worldwide public domain, you should mark it with CC’s Public Domain Mark . Note that, in some cases, a work may be in the public domain under the copyright laws of some jurisdictions but not others. For example, U.S. government works are in the public domain under the copyright law of the United States, but may be protected by copyright laws in other jurisdictions. A CC license applied to such a work would be effective (and the license restrictions enforceable) in jurisdictions where copyright protection exists, but would not be operative if U.S. copyright law is determined to be the applicable law. Creators may also apply Creative Commons licenses to material they create that are adapted from public domain works, or to remixed material, databases, or collections that include work in the public domain. However, in each of these instances, the license does not affect parts of the work that are unrestricted by copyright or similar rights. We strongly encourage you to mark the public domain material , so that others know they are also free to use this material without legal restriction. If I take a photograph of another work that is in the public domain, can I apply a CC license to my photo? That depends. You can apply a CC license to your photograph if your photograph constitutes a work of original authorship, a question that varies by jurisdiction. As a general matter, your photograph must involve some creative choices, such as background setting, lighting, angle, or other mark of creativity. In the United States, an exact photographic copy of a public domain work is not subject to copyright because there is no originality (even if there is effort or “sweat” exerted in its creation). In practice, if your photograph is sufficiently creative to attract copyright protection, people will likely have to comply with the license conditions if they reproduce your entire photograph in verbatim form, absent some applicable exception or limitation such as fair use. However, they would not have to comply with the license conditions if they reproduce only those parts of the work in the public domain . This is because your copyright in the adaptation only extends to the material you contributed, not to the underlying work. May I apply a CC license to my work if it incorporates material used under fair use or another exception or limitation to copyright? Yes, but it is important to prominently mark any third party material you incorporate into your work so reusers do not think the CC license applies to that material. The CC license only applies to the rights you have in the work. For example, if your CC-licensed slide deck includes a Flickr image you are using pursuant to fair use, make sure to identify that image as not being subject to the CC license. For more information about incorporating work owned by others, see our page about marking third party content . Read more considerations for licensors here . Rights other than copyright Can I use CC licenses to license rights other than copyright? CC licenses are copyright licenses, but the latest version of CC licenses also cover certain other rights similar to cop | 2026-01-13T09:29:53 |
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. 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https://mt.linkedin.com/legal/privacy-policy#lithograph-app | LinkedIn Privacy Policy Skip to main content User Agreement Summary of User Agreement Privacy Policy Professional Community Policies Cookie Policy Copyright Policy Regional Info EU Notice California Privacy Disclosure U.S. State Privacy Laws User Agreement Summary of User Agreement Privacy Policy Professional Community Policies Cookie Policy Copyright Policy Regional Info EU Notice California Privacy Disclosure U.S. State Privacy Laws Privacy Policy Effective November 3, 2025 Your Privacy Matters LinkedIn’s mission is to connect the world’s professionals to allow them to be more productive and successful. Central to this mission is our commitment to be transparent about the data we collect about you, how it is used and with whom it is shared. This Privacy Policy applies when you use our Services (described below). We offer our users choices about the data we collect, use and share as described in this Privacy Policy, Cookie Policy , Settings and our Help Center. Key Terms Choices Settings are available to Members of LinkedIn and Visitors are provided separate controls. Learn More . Table of Contents Data We Collect How We Use Your Data How We Share Information Your Choices and Obligations Other Important Information Introduction We are a social network and online platform for professionals. People use our Services to find and be found for business opportunities, to connect with others and find information. Our Privacy Policy applies to any Member or Visitor to our Services. Our registered users (“Members”) share their professional identities, engage with their network, exchange knowledge and professional insights, post and view relevant content, learn and develop skills, and find business and career opportunities. Content and data on some of our Services is viewable to non-Members (“Visitors”). We use the term “Designated Countries” to refer to countries in the European Union (EU), European Economic Area (EEA), and Switzerland. Members and Visitors located in the Designated Countries or the UK can review additional information in our European Regional Privacy Notice . Services This Privacy Policy, including our Cookie Policy applies to your use of our Services. This Privacy Policy applies to LinkedIn.com, LinkedIn-branded apps, and other LinkedIn-branded sites, apps, communications and services offered by LinkedIn (“Services”), including off-site Services, such as our ad services and the “Apply with LinkedIn” and “Share with LinkedIn” plugins, but excluding services that state that they are offered under a different privacy policy. For California residents, additional disclosures required by California law may be found in our California Privacy Disclosure . Data Controllers and Contracting Parties If you are in the “Designated Countries”, LinkedIn Ireland Unlimited Company (“LinkedIn Ireland”) will be the controller of your personal data provided to, or collected by or for, or processed in connection with our Services. If you are outside of the Designated Countries, LinkedIn Corporation will be the controller of (or business responsible for) your personal data provided to, or collected by or for, or processed in connection with our Services. As a Visitor or Member of our Services, the collection, use and sharing of your personal data is subject to this Privacy Policy and other documents referenced in this Privacy Policy, as well as updates. Change Changes to the Privacy Policy apply to your use of our Services after the “effective date.” LinkedIn (“we” or “us”) can modify this Privacy Policy, and if we make material changes to it, we will provide notice through our Services, or by other means, to provide you the opportunity to review the changes before they become effective. If you object to any changes, you may close your account. You acknowledge that your continued use of our Services after we publish or send a notice about our changes to this Privacy Policy means that the collection, use and sharing of your personal data is subject to the updated Privacy Policy, as of its effective date. 1. Data We Collect 1.1 Data You Provide To Us You provide data to create an account with us. Registration To create an account you need to provide data including your name, email address and/or mobile number, general location (e.g., city), and a password. If you register for a premium Service, you will need to provide payment (e.g., credit card) and billing information. You create your LinkedIn profile (a complete profile helps you get the most from our Services). Profile You have choices about the information on your profile, such as your education, work experience, skills, photo, city or area , endorsements, and optional verifications of information on your profile (such as verifications of your identity or workplace). You don’t have to provide additional information on your profile; however, profile information helps you to get more from our Services, including helping recruiters and business opportunities find you. It’s your choice whether to include sensitive information on your profile and to make that sensitive information public. Please do not post or add personal data to your profile that you would not want to be publicly available. You may give other data to us, such as by syncing your calendar. Posting and Uploading We collect personal data from you when you provide, post or upload it to our Services, such as when you fill out a form, (e.g., with demographic data or salary), respond to a survey, or submit a resume or fill out a job application on our Services. If you sync your calendars with our Services, we will collect your calendar meeting information to keep growing your network by suggesting connections for you and others, and by providing information about events, e.g. times, places, attendees and contacts. You don’t have to post or upload personal data; though if you don’t, it may limit your ability to grow and engage with your network over our Services. 1.2 Data From Others Others may post or write about you. Content and News You and others may post content that includes information about you (as part of articles, posts, comments, videos) on our Services. We also may collect public information about you, such as professional-related news and accomplishments, and make it available as part of our Services, including, as permitted by your settings, in notifications to others of mentions in the news . Others may sync their calendar with our Services Contact and Calendar Information We receive personal data (including contact information) about you when others import or sync their calendar with our Services, associate their contacts with Member profiles, scan and upload business cards, or send messages using our Services (including invites or connection requests). If you or others opt-in to sync email accounts with our Services, we will also collect “email header” information that we can associate with Member profiles. Customers and partners may provide data to us. Partners We receive personal data (e.g., your job title and work email address) about you when you use the services of our customers and partners, such as employers or prospective employers and applicant tracking systems providing us job application data. Related Companies and Other Services We receive data about you when you use some of the other services provided by us or our Affiliates , including Microsoft. For example, you may choose to send us information about your contacts in Microsoft apps and services, such as Outlook, for improved professional networking activities on our Services or we may receive information from Microsoft about your engagement with their sites and services. 1.3 Service Use We log your visits and use of our Services, including mobile apps. We log usage data when you visit or otherwise use our Services, including our sites, app and platform technology, such as when you view or click on content (e.g., learning video) or ads (on or off our sites and apps), perform a search, install or update one of our mobile apps, share articles or apply for jobs. We use log-ins, cookies, device information and internet protocol (“IP”) addresses to identify you and log your use. 1.4 Cookies and Similar Technologies We collect data through cookies and similar technologies. As further described in our Cookie Policy , we use cookies and similar technologies (e.g., pixels and ad tags) to collect data (e.g., device IDs) to recognize you and your device(s) on, off and across different services and devices where you have engaged with our Services. We also allow some others to use cookies as described in our Cookie Policy. If you are outside the Designated Countries, we also collect (or rely on others, including Microsoft, who collect) information about your device where you have not engaged with our Services (e.g., ad ID, IP address, operating system and browser information) so we can provide our Members with relevant ads and better understand their effectiveness. Learn more . You can opt out from our use of data from cookies and similar technologies that track your behavior on the sites of others for ad targeting and other ad-related purposes. For Visitors, the controls are here . 1.5 Your Device and Location We receive data through cookies and similar technologies When you visit or leave our Services (including some plugins and our cookies or similar technology on the sites of others), we receive the URL of both the site you came from and the one you go to and the time of your visit. We also get information about your network and device (e.g., IP address, proxy server, operating system, web browser and add-ons, device identifier and features, cookie IDs and/or ISP, or your mobile carrier). If you use our Services from a mobile device, that device will send us data about your location based on your phone settings. We will ask you to opt-in before we use GPS or other tools to identify your precise location. 1.6 Communications If you communicate through our Services, we learn about that. We collect information about you when you communicate with others through our Services (e.g., when you send, receive, or engage with messages, events, or connection requests, including our marketing communications). This may include information that indicates who you are communicating with and when. We also use automated systems to support and protect our site. For example, we use such systems to suggest possible responses to messages and to manage or block content that violates our User Agreement or Professional Community Policies . 1.7 Workplace and School Provided Information When your organization (e.g., employer or school) buys a premium Service for you to use, they give us data about you. Others buying our Services for your use, such as your employer or your school, provide us with personal data about you and your eligibility to use the Services that they purchase for use by their workers, students or alumni. For example, we will get contact information for “ LinkedIn Page ” (formerly Company Page) administrators and for authorizing users of our premium Services, such as our recruiting, sales or learning products. 1.8 Sites and Services of Others We get data when you visit sites that include our ads, cookies or plugins or when you log-in to others’ services with your LinkedIn account. We receive information about your visits and interaction with services provided by others when you log-in with LinkedIn or visit others’ services that include some of our plugins (such as “Apply with LinkedIn”) or our ads, cookies or similar technologies. 1.9 Other We are improving our Services, which means we get new data and create new ways to use data. Our Services are dynamic, and we often introduce new features, which may require the collection of new information. If we collect materially different personal data or materially change how we collect, use or share your data, we will notify you and may also modify this Privacy Policy. Key Terms Affiliates Affiliates are companies controlling, controlled by or under common control with us, including, for example, LinkedIn Ireland, LinkedIn Corporation, LinkedIn Singapore and Microsoft Corporation or any of its subsidiaries (e.g., GitHub, Inc.). 2. How We Use Your Data We use your data to provide, support, personalize and develop our Services. How we use your personal data will depend on which Services you use, how you use those Services and the choices you make in your settings . We may use your personal data to improve, develop, and provide products and Services, develop and train artificial intelligence (AI) models, develop, provide, and personalize our Services, and gain insights with the help of AI, automated systems, and inferences, so that our Services can be more relevant and useful to you and others. You can review LinkedIn's Responsible AI principles here and learn more about our approach to generative AI here . Learn more about the inferences we may make, including as to your age and gender and how we use them. 2.1 Services Our Services help you connect with others, find and be found for work and business opportunities, stay informed, get training and be more productive. We use your data to authorize access to our Services and honor your settings. Stay Connected Our Services allow you to stay in touch and up to date with colleagues, partners, clients, and other professional contacts. To do so, you can “connect” with the professionals who you choose, and who also wish to “connect” with you. Subject to your and their settings , when you connect with other Members, you will be able to search each others’ connections in order to exchange professional opportunities. We use data about you (such as your profile, profiles you have viewed or data provided through address book uploads or partner integrations) to help others find your profile, suggest connections for you and others (e.g. Members who share your contacts or job experiences) and enable you to invite others to become a Member and connect with you. You can also opt-in to allow us to use your precise location or proximity to others for certain tasks (e.g. to suggest other nearby Members for you to connect with, calculate the commute to a new job, or notify your connections that you are at a professional event). It is your choice whether to invite someone to our Services, send a connection request, or allow another Member to become your connection. When you invite someone to connect with you, your invitation will include your network and basic profile information (e.g., name, profile photo, job title, region). We will send invitation reminders to the person you invited. You can choose whether or not to share your own list of connections with your connections. Visitors have choices about how we use their data. Stay Informed Our Services allow you to stay informed about news, events and ideas regarding professional topics you care about, and from professionals you respect. Our Services also allow you to improve your professional skills, or learn new ones. We use the data we have about you (e.g., data you provide, data we collect from your engagement with our Services and inferences we make from the data we have about you), to personalize our Services for you, such as by recommending or ranking relevant content and conversations on our Services. We also use the data we have about you to suggest skills you could add to your profile and skills that you might need to pursue your next opportunity. So, if you let us know that you are interested in a new skill (e.g., by watching a learning video), we will use this information to personalize content in your feed, suggest that you follow certain Members on our site, or suggest related learning content to help you towards that new skill. We use your content, activity and other data, including your name and photo, to provide notices to your network and others. For example, subject to your settings , we may notify others that you have updated your profile, posted content, took a social action , used a feature, made new connections or were mentioned in the news . Career Our Services allow you to explore careers, evaluate educational opportunities, and seek out, and be found for, career opportunities. Your profile can be found by those looking to hire (for a job or a specific task ) or be hired by you. We will use your data to recommend jobs and show you and others relevant professional contacts (e.g., who work at a company, in an industry, function or location or have certain skills and connections). You can signal that you are interested in changing jobs and share information with recruiters. We will use your data to recommend jobs to you and you to recruiters. We may use automated systems to provide content and recommendations to help make our Services more relevant to our Members, Visitors and customers. Keeping your profile accurate and up-to-date may help you better connect to others and to opportunities through our Services. Productivity Our Services allow you to collaborate with colleagues, search for potential clients, customers, partners and others to do business with. Our Services allow you to communicate with other Members and schedule and prepare meetings with them. If your settings allow, we scan messages to provide “bots” or similar tools that facilitate tasks such as scheduling meetings, drafting responses, summarizing messages or recommending next steps. Learn more . 2.2 Premium Services Our premium Services help paying users to search for and contact Members through our Services, such as searching for and contacting job candidates, sales leads and co-workers, manage talent and promote content. We sell premium Services that provide our customers and subscribers with customized-search functionality and tools (including messaging and activity alerts) as part of our talent, marketing and sales solutions. Customers can export limited information from your profile, such as name, headline, current company, current title, and general location (e.g., Dublin), such as to manage sales leads or talent, unless you opt-out . We do not provide contact information to customers as part of these premium Services without your consent. Premium Services customers can store information they have about you in our premium Services, such as a resume or contact information or sales history. The data stored about you by these customers is subject to the policies of those customers. Other enterprise Services and features that use your data include TeamLink and LinkedIn Pages (e.g., content analytics and followers). 2.3 Communications We contact you and enable communications between Members. We offer settings to control what messages you receive and how often you receive some types of messages. We will contact you through email, mobile phone, notices posted on our websites or apps, messages to your LinkedIn inbox, and other ways through our Services, including text messages and push notifications. We will send you messages about the availability of our Services, security, or other service-related issues. We also send messages about how to use our Services, network updates, reminders, job suggestions and promotional messages from us and our partners. You may change your communication preferences at any time. Please be aware that you cannot opt out of receiving service messages from us, including security and legal notices. We also enable communications between you and others through our Services, including for example invitations , InMail , groups and messages between connections. 2.4 Advertising We serve you tailored ads both on and off our Services. We offer you choices regarding personalized ads, but you cannot opt-out of seeing non-personalized ads. We target (and measure the performance of) ads to Members, Visitors and others both on and off our Services directly or through a variety of partners, using the following data, whether separately or combined: Data collected by advertising technologies on and off our Services using pixels, ad tags (e.g., when an advertiser installs a LinkedIn tag on their website), cookies, and other device identifiers; Member-provided information (e.g., profile, contact information, title and industry); Data from your use of our Services (e.g., search history, feed, content you read, who you follow or is following you, connections, groups participation, page visits, videos you watch, clicking on an ad, etc.), including as described in Section 1.3; Information from advertising partners , vendors and publishers ; and Information inferred from data described above (e.g., using job titles from a profile to infer industry, seniority, and compensation bracket; using graduation dates to infer age or using first names or pronoun usage to infer gender; using your feed activity to infer your interests; or using device data to recognize you as a Member). Learn more about the inferences we make and how they may be used for advertising. Learn more about the ad technologies we use and our advertising services and partners. You can learn more about our compliance with laws in the Designated Countries or the UK in our European Regional Privacy Notice . We will show you ads called sponsored content which look similar to non-sponsored content, except that they are labeled as advertising (e.g., as “ad” or “sponsored”). If you take a social action (such as like, comment or share) on these ads, your action is associated with your name and viewable by others, including the advertiser. Subject to your settings , if you take a social action on the LinkedIn Services, that action may be mentioned with related ads. For example, when you like a company we may include your name and photo when their sponsored content is shown. Ad Choices You have choices regarding our uses of certain categories of data to show you more relevant ads. Member settings can be found here . For Visitors, the setting is here . Info to Ad Providers We do not share your personal data with any non-Affiliated third-party advertisers or ad networks except for: (i) hashed IDs or device identifiers (to the extent they are personal data in some countries); (ii) with your separate permission (e.g., in a lead generation form) or (iii) data already visible to any users of the Services (e.g., profile). However, if you view or click on an ad on or off our Services, the ad provider will get a signal that someone visited the page that displayed the ad, and they may, through the use of mechanisms such as cookies, determine it is you. Advertising partners can associate personal data collected by the advertiser directly from you with hashed IDs or device identifiers received from us. We seek to contractually require such advertising partners to obtain your explicit, opt-in consent before doing so where legally required, and in such instances, we take steps to ensure that consent has been provided before processing data from them. 2.5 Marketing We promote our Services to you and others. In addition to advertising our Services, we use Members’ data and content for invitations and communications promoting membership and network growth, engagement and our Services, such as by showing your connections that you have used a feature on our Services. 2.6 Developing Services and Research We develop our Services and conduct research Service Development We use data, including public feedback, to conduct research and development for our Services in order to provide you and others with a better, more intuitive and personalized experience, drive membership growth and engagement on our Services, and help connect professionals to each other and to economic opportunity. Other Research We seek to create economic opportunity for Members of the global workforce and to help them be more productive and successful. We use the personal data available to us to research social, economic and workplace trends, such as jobs availability and skills needed for these jobs and policies that help bridge the gap in various industries and geographic areas. In some cases, we work with trusted third parties to perform this research, under controls that are designed to protect your privacy. We may also make public data available to researchers to enable assessment of the safety and legal compliance of our Services. We publish or allow others to publish economic insights, presented as aggregated data rather than personal data. Surveys Polls and surveys are conducted by us and others through our Services. You are not obligated to respond to polls or surveys, and you have choices about the information you provide. You may opt-out of survey invitations. 2.7 Customer Support We use data to help you and fix problems. We use data (which can include your communications) to investigate, respond to and resolve complaints and for Service issues (e.g., bugs). 2.8 Insights That Do Not Identify You We use data to generate insights that do not identify you. We use your data to perform analytics to produce and share insights that do not identify you. For example, we may use your data to generate statistics about our Members, their profession or industry, to calculate ad impressions served or clicked on (e.g., for basic business reporting to support billing and budget management or, subject to your settings , for reports to advertisers who may use them to inform their advertising campaigns), to show Members' information about engagement with a post or LinkedIn Page , to publish visitor demographics for a Service or create demographic workforce insights, or to understand usage of our services. 2.9 Security and Investigations We use data for security, fraud prevention and investigations. We and our Affiliates, including Microsoft, may use your data (including your communications) for security purposes or to prevent or investigate possible fraud or other violations of the law, our User Agreement and/or attempts to harm our Members, Visitors, company, Affiliates, or others. Key Terms Social Action E.g. like, comment, follow, share Partners Partners include ad networks, exchanges and others 3. How We Share Information 3.1 Our Services Any data that you include on your profile and any content you post or social action (e.g., likes, follows, comments, shares) you take on our Services will be seen by others, consistent with your settings. Profile Your profile is fully visible to all Members and customers of our Services. Subject to your settings , it can also be visible to others on or off of our Services (e.g., Visitors to our Services or users of third-party search tools). As detailed in our Help Center , your settings, degree of connection with the viewing Member, the subscriptions they may have, their usage of our Services , access channels and search types (e.g., by name or by keyword) impact the availability of your profile and whether they can view certain fields in your profile. Posts, Likes, Follows, Comments, Messages Our Services allow viewing and sharing information including through posts, likes, follows and comments. When you share an article or a post (e.g., an update, image, video or article) publicly it can be viewed by everyone and re-shared anywhere (subject to your settings ). Members, Visitors and others will be able to find and see your publicly-shared content, including your name (and photo if you have provided one). In a group , posts are visible to others according to group type. For example, posts in private groups are visible to others in the group and posts in public groups are visible publicly. Your membership in groups is public and part of your profile, but you can change visibility in your settings . Any information you share through companies’ or other organizations’ pages on our Services will be viewable by those organizations and others who view those pages' content. When you follow a person or organization, you are visible to others and that “page owner” as a follower. We let senders know when you act on their message, subject to your settings where applicable. Subject to your settings , we let a Member know when you view their profile. We also give you choices about letting organizations know when you've viewed their Page. When you like or re-share or comment on another’s content (including ads), others will be able to view these “social actions” and associate it with you (e.g., your name, profile and photo if you provided it). Your employer can see how you use Services they provided for your work (e.g. as a recruiter or sales agent) and related information. We will not show them your job searches or personal messages. Enterprise Accounts Your employer may offer you access to our enterprise Services such as Recruiter, Sales Navigator, LinkedIn Learning or our advertising Campaign Manager. Your employer can review and manage your use of such enterprise Services. Depending on the enterprise Service, before you use such Service, we will ask for permission to share with your employer relevant data from your profile or use of our non-enterprise Services. For example, users of Sales Navigator will be asked to share their “social selling index”, a score calculated in part based on their personal account activity. We understand that certain activities such as job hunting and personal messages are sensitive, and so we do not share those with your employer unless you choose to share it with them through our Services (for example, by applying for a new position in the same company or mentioning your job hunting in a message to a co-worker through our Services). Subject to your settings , when you use workplace tools and services (e.g., interactive employee directory tools) certain of your data may also be made available to your employer or be connected with information we receive from your employer to enable these tools and services. 3.2 Communication Archival Regulated Members may need to store communications outside of our Service. Some Members (or their employers) need, for legal or professional compliance, to archive their communications and social media activity, and will use services of others to provide these archival services. We enable archiving of messages by and to those Members outside of our Services. For example, a financial advisor needs to archive communications with her clients through our Services in order to maintain her professional financial advisor license. 3.3 Others’ Services You may link your account with others’ services so that they can look up your contacts’ profiles, post your shares on such platforms, or enable you to start conversations with your connections on such platforms. Excerpts from your profile will also appear on the services of others. Subject to your settings , other services may look up your profile. When you opt to link your account with other services, personal data (e.g., your name, title, and company) will become available to them. The sharing and use of that personal data will be described in, or linked to, a consent screen when you opt to link the accounts. For example, you may link your Twitter or WeChat account to share content from our Services into these other services, or your email provider may give you the option to upload your LinkedIn contacts into its own service. Third-party services have their own privacy policies, and you may be giving them permission to use your data in ways we would not. You may revoke the link with such accounts. The information you make available to others in our Services (e.g., information from your profile, your posts, your engagement with the posts, or message to Pages) may be available to them on other services . For example, search tools, mail and calendar applications, or talent and lead managers may show a user limited profile data (subject to your settings ), and social media management tools or other platforms may display your posts. The information retained on these services may not reflect updates you make on LinkedIn. 3.4 Related Services We share your data across our different Services and LinkedIn affiliated entities. We will share your personal data with our Affiliates to provide and develop our Services. For example, we may refer a query to Bing in some instances, such as where you'd benefit from a more up to date response in a chat experience. Subject to our European Regional Privacy Notice , we may also share with our Affiliates, including Microsoft, your (1) publicly-shared content (such as your public LinkedIn posts) to provide or develop their services and (2) personal data to improve, provide or develop their advertising services. Where allowed , we may combine information internally across the different Services covered by this Privacy Policy to help our Services be more relevant and useful to you and others. For example, we may personalize your feed or job recommendations based on your learning history. 3.5 Service Providers We may use others to help us with our Services. We use others to help us provide our Services (e.g., maintenance, analysis, audit, payments, fraud detection, customer support, marketing and development). They will have access to your information (e.g., the contents of a customer support request) as reasonably necessary to perform these tasks on our behalf and are obligated not to disclose or use it for other purposes. If you purchase a Service from us, we may use a payments service provider who may separately collect information about you (e.g., for fraud prevention or to comply with legal obligations). 3.6 Legal Disclosures We may need to share your data when we believe it’s required by law or to help protect the rights and safety of you, us or others. It is possible that we will need to disclose information about you when required by law, subpoena, or other legal process or if we have a good faith belief that disclosure is reasonably necessary to (1) investigate, prevent or take action regarding suspected or actual illegal activities or to assist government enforcement agencies; (2) enforce our agreements with you; (3) investigate and defend ourselves against any third-party claims or allegations; (4) protect the security or integrity of our Services or the products or services of our Affiliates (such as by sharing with companies facing similar threats); or (5) exercise or protect the rights and safety of LinkedIn, our Members, personnel or others. We attempt to notify Members about legal demands for their personal data when appropriate in our judgment, unless prohibited by law or court order or when the request is an emergency. We may dispute such demands when we believe, in our discretion, that the requests are overbroad, vague or lack proper authority, but we do not promise to challenge every demand. To learn more see our Data Request Guidelines and Transparency Report . 3.7 Change in Control or Sale We may share your data when our business is sold to others, but it must continue to be used in accordance with this Privacy Policy. We can also share your personal data as part of a sale, merger or change in control, or in preparation for any of these events. Any other entity which buys us or part of our business will have the right to continue to use your data, but only in the manner set out in this Privacy Policy unless you agree otherwise. 4. Your Choices & Obligations 4.1 Data Retention We keep most of your personal data for as long as your account is open. We generally retain your personal data as long as you keep your account open or as needed to provide you Services. This includes data you or others provided to us and data generated or inferred from your use of our Services. Even if you only use our Services when looking for a new job every few years, we will retain your information and keep your profile open, unless you close your account. In some cases we choose to retain certain information (e.g., insights about Services use) in a depersonalized or aggregated form. 4.2 Rights to Access and Control Your Personal Data You can access or delete your personal data. You have many choices about how your data is collected, used and shared. We provide many choices about the collection, use and sharing of your data, from deleting or correcting data you include in your profile and controlling the visibility of your posts to advertising opt-outs and communication controls. We offer you settings to control and manage the personal data we have about you. For personal data that we have about you, you can: Delete Data : You can ask us to erase or delete all or some of your personal data (e.g., if it is no longer necessary to provide Services to you). Change or Correct Data : You can edit some of your personal data through your account. You can also ask us to change, update or fix your data in certain cases, particularly if it’s inaccurate. Object to, or Limit or Restrict, Use of Data : You can ask us to stop using all or some of your personal data (e.g., if we have no legal right to keep using it) or to limit our use of it (e.g., if your personal data is inaccurate or unlawfully held). Right to Access and/or Take Your Data : You can ask us for a copy of your personal data and can ask for a copy of personal data you provided in machine readable form. Visitors can learn more about how to make these requests here . You may also contact us using the contact information below, and we will consider your request in accordance with applicable laws. Residents in the Designated Countries and the UK , and other regions , may have additional rights under their laws. 4.3 Account Closure We keep some of your data even after you close your account. If you choose to close your LinkedIn account, your personal data will generally stop being visible to others on our Services within 24 hours. We generally delete closed account information within 30 days of account closure, except as noted below. We retain your personal data even after you have closed your account if reasonably necessary to comply with our legal obligations (including law enforcement requests), meet regulatory requirements, resolve disputes, maintain security, prevent fraud and abuse (e.g., if we have restricted your account for breach of our Professional Community Policies ), enforce our User Agreement, or fulfill your request to "unsubscribe" from further messages from us. We will retain de-personalized information after your account has been closed. Information you have shared with others (e.g., through InMail, updates or group posts) will remain visible after you close your account or delete the information from your own profile or mailbox, and we do not control data that other Members have copied out of our Services. Groups content and ratings or review content associated with closed accounts will show an unknown user as the source. Your profile may continue to be displayed in the services of others (e.g., search tools) until they refresh their cache. 5. Other Important Information 5.1. Security We monitor for and try to prevent security breaches. Please use the security features available through our Services. We implement security safeguards designed to protect your data, such as HTTPS. We regularly monitor our systems for possible vulnerabilities and attacks. However, we cannot warrant the security of any information that you send us. There is no guarantee that data may not be accessed, disclosed, altered, or destroyed by breach of any of our physical, technical, or managerial safeguards. 5.2. Cross-Border Data Transfers We store and use your data outside your country. We process data both inside and outside of the United States and rely on legally-provided mechanisms to lawfully transfer data across borders. Learn more . Countries where we process data may have laws which are different from, and potentially not as protective as, the laws of your own country. 5.3 Lawful Bases for Processing We have lawful bases to collect, use and share data about you. You have choices about our use of your data. At any time, you can withdraw consent you have provided by going to settings. We will only collect and process personal data about you where we have lawful bases. Lawful bases include consent (where you have given consent), contract (where processing is necessary for the performance of a contract with you (e.g., to deliver the LinkedIn Services you have requested) and “legitimate interests.” Learn more . Where we rely on your consent to process personal data, you have the right to withdraw or decline your consent at any time and where we rely on legitimate interests, you have the right to object. Learn More . If you have any questions about the lawful bases upon which we collect and use your personal data, please contact our Data Protection Officer here . If you're located in one of the Designated Countries or the UK, you can learn more about our lawful bases for processing in our European Regional Privacy Notice . 5.4. Direct Marketing and Do Not Track Signals Our statements regarding direct marketing and “do not track” signals. We currently do not share personal data with third parties for their direct marketing purposes without your permission. Learn more about this and about our response to “do not track” signals. 5.5. Contact Information You can contact us or use other options to resolve any complaints. If you have questions or complaints regarding this Policy, please first contact LinkedIn online. You can also reach us by physical mail . If contacting us does not resolve your complaint, you have more options . Residents in the Designated Countries and other regions may also have the right to contact our Data Protection Officer here . If this does not resolve your complaint, Residents in the Designated Countries and other regions may have more options under their laws. Key Terms Consent Where we process data based on consent, we will ask for your explicit consent. You may withdraw your consent at any time, but that will not affect the lawfulness of the processing of your personal data prior to such withdrawal. Where we rely on contract, we will ask that you agree to the processing of personal data that is necessary for entering into or performance of your contract with us. We will rely on legitimate interests as a basis for data processing where the processing of your data is not overridden by your interests or fundamental rights and freedoms. 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https://aws.amazon.com/s3/storage-classes/glacier/instant-retrieval/ | Amazon S3 Glacier Instant Retrieval Storage Class - 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 S3 Overview Features Storage classes Pricing Security More Storage Classes › Glacier › Instant Retrieval Amazon S3 Glacier Instant Retrieval storage class The lowest-cost archive storage with milliseconds retrieval for rarely accessed data Get started with Amazon S3 S3 Glacier storage classes getting started tutorial Overview Amazon S3 Glacier Instant Retrieval is an archive storage class that delivers the lowest-cost storage for long-lived data that is rarely accessed and requires retrieval in milliseconds. With S3 Glacier Instant Retrieval, you can save up to 68% on storage costs compared to using the S3 Standard-Infrequent Access (S3 Standard-IA) storage class, when your data is accessed once per quarter. S3 Glacier Instant Retrieval delivers the fastest access to archive storage, with the same throughput and milliseconds access as the S3 Standard and S3 Standard-IA storage classes. S3 Glacier Instant Retrieval is designed for 99.999999999% (11 nines) of data durability and 99.9% availability by redundantly storing data across multiple physically separated AWS Availability Zones. It is designed for rarely accessed data that still needs immediate access in performance-sensitive use cases like image hosting, online file-sharing applications, medical imaging and health records, news media assets, and genomics. Play Benefits Retrievals in milliseconds Amazon S3 Glacier Instant Retrieval delivers the same low latency and high throughput performance as the S3 Standard and S3 Standard-IA storage classes, making it ideal for storing data like medical images, genomic sequences, satellite images, news media assets, and user-generated content that require milliseconds access. Unmatched durability and scalability Amazon S3 Glacier Instant Retrieval runs on the world’s largest global cloud infrastructure with virtually unlimited scalability and is designed for 99.999999999% (11 nines) of durability. Data is automatically distributed across multiple Availability Zones that are geographically separated within an AWS Region. Learn more about the AWS Global Cloud Infrastructure Most comprehensive security and compliance capabilities Amazon S3 Glacier Instant Retrieval offers integration with AWS CloudTrail to log, monitor, and retain storage API call activities for auditing, and it supports three different forms of encryption. S3 also supports security standards and compliance certifications, including SEC Rule 17a-4, PCI-DSS, HIPAA/HITECH, FedRAMP, EU GDPR, and FISMA. Amazon S3 Object Lock enables WORM storage capabilities, helping satisfy compliance requirements for virtually every regulatory agency around the globe. Learn more about AWS Security Learn more about AWS Compliance Easily manage your data lifecycle Cost-effectively manage data through its lifecycle across the S3 storage classes, which share the S3 APIs. You can use S3 Lifecycle to easily transition your data to lower-cost storage classes, as its data becomes less frequently accessed—without having to perform any data migration. Low cost S3 Glacier Retrieval is the lowest cost archive storage with milliseconds retrieval for rarely accessed data. It is ideal for data that is accessed once or twice per quarter, and that requires immediate access. How it works — Amazon S3 Glacier Instant Retrieval storage class S3 Glacier Instant Retrieval delivers the lowest-cost storage for long-lived data that is rarely accessed and requires milliseconds retrieval. The easiest way to store data in S3 Glacier Instant Retrieval is to use the S3 PUT API to upload data directly, or use S3 Lifecycle to transition data from the S3 Standard and S3 Standard-IA storage classes. Resources Video Overview: Amazon S3 Glacier Instant Retrieval (4:20) Watch the video Video Deep Dive: Amazon S3 Glacier Instant Retrieval (45:40) Watch the video Video Better, faster, and lower-cost storage: Optimizing Amazon S3 (48:20) Watch the video Use cases Media asset workflows Media and entertainment assets such as video and news footage require durable storage and can grow to many petabytes over time. Much of this data needs to be available immediately for breaking news events, video rendering, or content development. The Amazon S3 Glacier Instant Retrieval storage class allows you to archive older media content affordably while still making it available in milliseconds when it’s needed. To save even more on storage costs for media archives that don’t require milliseconds access, you can use S3 Glacier Flexible Retrieval (Formerly S3 Glacier) or S3 Glacier Deep Archive. Healthcare information archiving Hospital systems need to retain petabytes of patient records (such as LIS, PACS, and EHR) for decades to meet regulatory requirements. The Amazon S3 Glacier Instant Retrieval storage class is ideal for medical images or genomics, where milliseconds retrieval is required. Scientific data analytics Research organizations generate, analyze, and archive vast amounts of data, such as for genomics or to train machine learning models. With the Amazon S3 Glacier Instant Retrieval storage class, you avoid the complexities of hardware and facility management and capacity planning, with the lowest-cost storage and milliseconds retrieval. Snap Snap Inc. builds the popular visual messaging app Snapchat, which enhances relationships with friends, family, and the world. More than 363 million daily active users use Snapchat to share and save photos and videos. Though it started with a focus on ephemeral content, such as photos that would disappear after a few seconds, the app has become a place for Snapchatters—as Snapchat users are called—to store media and memories long term, if they choose. Snap migrated more than 2 exabytes of data—roughly equivalent to 1.5 trillion media files—seamlessly to Amazon S3 Glacier Instant Retrieval. Case study: Snap optimizes cost savings while storing over 1.5 trillion photos and videos on Amazon S3 Glacier Instant Retrieval "We chose to migrate to AWS because of its global reach, excellent performance, and competitive pricing that, in turn, gave us the ability to reinvest in our business...The fact that no customer noticed this major migration to Amazon S3 Glacier Instant Retrieval was a big win for us. It was a seamless experience for end users, and we had no production issues during the entire migration." Vijay Manoharan, Manager of the Media-Delivery Platform Team - Snap Inc. Canva Canva is an online design tool that empowers users worldwide to design, edit, and publish anything they can dream up. Running on AWS has helped Canva move fast and keep up with the rapid scaling of their user base over the last 10 years. Since launching in 2013, Canva’s site has grown from humble beginnings to over 100 million monthly active users, who’ve created over 15 billion designs together. Blog: How Canva saves over $3 million annually in Amazon S3 costs "Canva saves roughly $300,000 per month ($3.6 million annually) using Amazon S3 Glacier Instant Retrieval, and given the ever-growing amount of user-generated data we store, these savings continue to grow over time." Josh Smith, Engineering Lead for the Core Data team - Canva Nascar The National Association for Stock Car Auto Racing, Inc. (NASCAR) is the sanctioning body for the No. 1 form of motorsports in the United States. Blog: Modernizing NASCAR’s multi-PB media archive at speed with AWS Storage "The new Amazon S3 Glacier Instant Retrieval storage class provides low storage cost for the NASCAR Library which houses our growing media archives, and enables our content creators to interact with data of any age in near real time. We manage one of the largest racing media archives in the world. Our customers, who range from the NASCAR Cup series teams to producers, editors, and engineers generate video, audio, and images, many of which are stored in perpetuity. The new storage class will help us save on our storage cost while greatly improving on our restore performance. Now, we can benefit from lower storage cost, with the resiliency of multi-AZ storage, and with immediate retrievals for any media asset!" Chris Wolford, Senior Director of Media & Event Technology - NASCAR Amagi Amagi is a global media technology SaaS leader providing end-to-end cloud-managed live, on-demand video, and monetisation solutions for broadcast and streaming TV. Blog: How Amagi uses Amazon S3 Glacier Instant Retrieval to optimize media storage costs "With S3 Glacier Instant Retrieval, Amagi is excited to improve data retrieval performance for our content owners. Many of our customers using our cloud video on-demand SaaS platforms have asset archival workflows that require fast retrieval of those assets, such as archived TV content, in the rare event they're requested. The S3 Glacier Instant Retrieval storage class lets our cloud broadcasting customers save on storage costs, helps monetise their data by increasing revenue opportunities, and gives them peace of mind that their data will be accessed quickly when a viewer engages with the content." Vijaya Sagar Vinnakota, VP Engineering - Amagi Pixieset Pixieset is an all-in-one platform for modern photographers, offering photo client galleries, websites, online stores and studio management software tools. "Pixieset's mission is to support photographers and creatives across the world as they run and grow their business. Our customers expect and rely on us to seamlessly deliver valuable and timeless photographs to their clients. With Amazon S3, we are able to store petabytes of images reliably and retrieve them instantly. As the number of creatives using our platform and unlimited storage option continues to grow, we're storing more and more photos forever. Photographers and creatives don't want to manage their growing galleries of photos, and instead want to focus on creating authentic memories. With S3 Glacier Instant Retrieval, we are able to scale our storage in a cost-effective manner, while continuing to deliver the same real-time access to photos that our users love today." Sam Lin, Director of Engineering - Pixieset Intelerad Intelerad is a leading medical image management provider and is empowering healthcare organizations around the world with the speed, scalability, and simplicity needed to increase business performance while, most importantly, improving patient outcomes. "The S3 Glacier Instant Retrieval storage class fills a market gap for companies servicing customers in the medical imaging and collaborative care market. Our imaging systems empower some of the largest health systems, radiology practices, subspecialty practices, and clinical research organizations to think about their medical imaging data as an asset that could provide new diagnostic and therapy insights. With these long-lived datasets growing at exponential rates, we not only want to manage cost, but also provide the tooling needed to advance patient care. With S3 Glacier Instant Retrieval, we are able to lower storage costs for imaging workloads that require data to be immediately accessible when requested, such as when a radiologist needs to review a patient’s prior history or a collection of archived images needs to be analyzed." Daniel Ostrow, Chief Enterprise Architect - Intelerad CloudSoDA.io From production through distribution, CloudSoDA.io enables real-time cost analytics and data movement, minimizing storage costs to achieve clients' business goals. "CloudSoDA.io is excited about the launch of the S3 Glacier Instant Retrieval storage class. SoDA lets our customers—who range from news and sports broadcasters to post production houses—automate file movement in and out of the cloud. Many of these customers are storing petabytes of archival media assets in perpetuity, even though only a small percentage of those assets are ever accessed. With S3 Glacier Instant Retrieval, our customers can further lower their storage costs for long-lived archive data and know that their data is accessible in milliseconds for events like a breaking news cycle." Greg Holick, VP of Product - SoDA Dropsuite Dropsuite helps organizations in 139 countries simply back up, recover, and protect their important business information. Its email backup solution currently backs up company data for more than one million individual users. Read the case study "Using Amazon S3 Glacier Instant Retrieval gives us the best of both worlds: instant access to data stored in an extremely cost-effective manner. We can access our archived data in milliseconds and immediately render it to our customers. Backup is one of those businesses where you don’t need the backup until you really need it. And when you need it, you suddenly need it urgently and immediately. By designing our solutions on top of Amazon S3, we can deliver on our customers’ requirements. We mimic our customers’ usage patterns and store their data in an optimized way. With our data in S3, our customers can search, package, retrieve, and restore data at a very fast pace." Manjor Kalyanaraman, Chief Technology Officer - Dropsuite BBC The British Broadcasting Corporation (BBC) Archives Technology and Services team needed a modern solution to centralize, digitize, and migrate its 100-year-old flagship archives. The team wanted to merge its archives to enhance the preservability and accessibility of the media for future use. Read the case study "By using Amazon S3 Glacier Instant Retrieval, we can benefit from expedited retrieval from the archive while having cost flexibility." Mark Glanville, Sr. Technical Architect Archives Technology and Services - BBC Get started with Amazon S3 Glacier Instant Retrieval The easiest way to store data in S3 Glacier Instant Retrieval is to use the S3 PUT API to upload data directly, or use S3 Lifecycle to transition data from the S3 Standard and S3 Standard-IA storage classes. Next steps Pricing Learn more about product pricing Learn more Free tier Sign up for an AWS account Sign up Console Start building in the console Sign in Create an AWS account Learn What Is AWS? What Is Cloud Computing? What Is Agentic AI? 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https://www.notion.so/help/notion-for-education | Notion for education – Notion Help Center Notion Features Notion AI Build, write, automate Agents Handles manual tasks Enterprise Search Find answers instantly AI Meeting Notes Perfectly written by AI Docs Simple & powerful Knowledge Base Centralize your knowledge Projects Manage any project Sites Publish anything, fast Get started Explore AI use cases See what Notion AI can do Browse marketplace Templates for everything View integrations Connect your apps with Notion Download web clipper Save from the web into Notion Try the Notion desktop app for a faster experience Download app Mail Calendar AI Enterprise Pricing Explore Teams Eng & Product Design Marketing IT Team size Startups SMBs Enterprise Education Learn Help center Notion Academy Customer stories Blog Community Partner programs Build API Templates Security Consultants Request a demo Log in Get Notion free Help Center Reference Plans, billing & payment ← Plans, billing & payment Notion for education In this Article Whether you’re a student or a teacher, Notion is here to help balance your many responsibilities with its all-in-one workspace 🍎 Jump to FAQs Contents What's included in the Plus Plan for education Upgrade to the Plus Plan for education Individual students and teachers Student organizations Work with a group or team Set up your workspace Having issues upgrading to the Plus Plan for education? Try the solutions in this article → What's included in the Plus Plan for education There are two types of free Plus Plans for education: The Education Plus Plan for individual students and teachers is a free Plus Plan for a one-member workspace. It’s available for students or teachers signed in with their education institution's email per the WHED. Our student org offer is a free Plus Plan for a workspace with unlimited members. It’s available for verified student orgs who have submitted an application here → Check out more of the differences below: Plus Plan for individual students and teachers Plus Plan for student organizations One member per workspace Unlimited members per workspace Up to 100 guests per workspace Up to 100 guests per workspace Unlimited uploads Unlimited uploads Edit history for any page going back 30 days Edit history for any page going back 30 days To see a complete list of features that are included in the Plus Plan or to learn about other plans offered by Notion, visit our pricing page → Upgrade to the Plus Plan for education Individual students and teachers Individual students and teachers at accredited colleges and universities can upgrade to the Plus Plan for free at any time . Before you upgrade, make sure of the following: You’re signed in with your education institution email. If you’re using a personal email address with your Notion account, you can change it to your educational email address following the instructions here → Your school is an accredited institution recognized by and listed in the World Higher Education Database here → You’re on the Free Plan. If you’re currently paying for the Plus Plan, you can still take advantage of this offer. Downgrade to the Free Plan first by going to Settings in your sidebar → Billing → Change plan . You only have one member in your account. The Plus Plan for individual students and educators can only contain one member. Remove any additional workspace owners and members before upgrading. You're upgrading using Notion for desktop or Notion for web , not mobile. Once you’ve met the above requirements, follow these steps in the desktop or web app to upgrade to the free Plus Plan: Go to Settings in your sidebar. Select Upgrade plan . Select Get free education plan . If your school is recognized by our system, you’ll be upgraded automatically! If you satisfy all requirements above for access to the plan but don't see Get free education plan , please write into [email protected] to request your school domain get access. If your institution is recognized by and listed in the WHED, your domain will be allowlisted and receive access. Note: Unfortunately, you must have a valid educational email address to upgrade to the Plus Plan. We don’t accept student IDs or other documentation to verify a student or educator status at this time. Thank you for your understanding! Student organizations Before you apply, make sure of the following: You're a student representing a student organization at an accredited institution recognized by and listed in the World Higher Education Database here → You're a member of the student organization's workspace. All members in your student organization’s workspace have the same domain as your valid educational email address. Your organization is recognized by your institution. If you want to upgrade to the Plus Plan for your student organization’s workspace, you can find more information and apply here . Only one application per organization will be approved. Once you’ve applied, our team will reach out as soon as we can to let you know if you’ve been approved. Work with a group or team As a reminder: Individual students and teachers can upgrade to the Plus Plan for free, and can work with up to 100 guests in their workspace. Approved student organizations can upgrade to the Plus Plan for free, and can invite guests and members to their workspace for free. Learn more about working with others in your workspace Add members, admins, guests & groups Sharing & permissions Set up your workspace If you’re brand new to Notion, check out the articles here to learn the basics. You can also use our templates to build a foundation for your education workspace! To find our templates for students and teachers: Go to Templates in your sidebar. In the dropdown, select School . You can also use the search bar to look for a more specific template. Select a template to see what it looks like. When you’re ready to use the template in your own workspace, select Get template . Learn more about Notion for education Setting up Notion for school Get organized for a new semester with Notion FAQs Are there any discounts for students? The Education Plus Plan for individual students is a free Plus Plan for a one-member workspace. It’s available for students signed in with their education institution's email per the WHED. Offer terms and conditions apply. With the Plus plan, students can organize plans, tasks and notes across school and life with unlimited pages & blocks, file uploads, more features to customize and publish your site, and 30-day version history. Just sign in with your school email address, by scrolling down the Billing in-product page and selecting Get free Education plan. Learn more about our student offers here: https://www.notion.so/help/notion-for-education How do I sign up for the free Education plan? You’re eligible for the free Plus plan if: You’re a student or educator at an accredited college or university. You have a school email address. We don’t accept student IDs or other documentation to verify at this time. You’re not eligible if: You’re a K-12 student or K-12 educator. But you can still use our Free Plan with unlimited storage for free! Learn more on our pricing page . Your Notion account is associated with a personal email address, such as a gmail.com or email address. Eligible users can sign up for the plan by following these steps: Go to Settings in your sidebar. Select Upgrade plan . Select Get free education plan . If your school is recognized by our system, you’ll be upgraded automatically! If you satisfy all requirements above for access to the plan but don't see Get free education plan , please write into [email protected] to request your school domain get access. If your institution is recognized by and listed in the WHED, your domain will be allowlisted and receive access. What's Notion's student organization plan? Yes! Student-led organizations at select verified higher education institutions around the globe can get access to our Plus plan and add all of their org members to collaborate entirely for free. With the Plus Plan, student orgs can upload unlimited blocks and files, add members to their workspace, get 30-day page history, add up to 100 guests, and more — free of charge. Sign your org up for the free offer here . Note: This discount is only eligible for workspaces for volunteer student organizations. Workspaces that are not designated for student organizations with will not qualify for the discount. 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https://ai.google.dev/api/generate-content?hl=tr#method:-models.generatecontent | 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 | 2026-01-13T09:29:53 |
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https://ai.google.dev/api/interactions-api?hl=he | Gemini API | Google AI for Developers דילוג לתוכן הראשי / 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 אחזור מפתח API ספר המתכונים קהילה היכנס Docs הפניית API Gemini API Docs הפניית API אחזור מפתח API ספר המתכונים קהילה סקירה כללית גרסאות API יכולות דגמים אנחנו יוצרים תוכן ממשק API פעיל Live Music API Interactions API קודים קבצים Batch API שומר כקובץ שמור הטמעות חיפוש קבצים חיפוש בחנויות קבצים מסמך כל השיטות הוצא משימוש PaLM (הוצא משימוש) הפניות ל-SDK Python Go TypeScript Java C# דף הבית Gemini API הפניית API שליחת משוב Gemini API Gemini Interactions API הוא API ניסיוני שמאפשר למפתחים לבנות אפליקציות מבוססות-AI גנרטיבי באמצעות מודלים של Gemini. Gemini הוא המודל הכי מתקדם שלנו, והוא נבנה מההתחלה כמודל רב-אופנים. הוא יכול להכליל ולהבין בצורה חלקה סוגים שונים של מידע, כולל שפה, תמונות, אודיו, וידאו וקוד, לפעול על פיהם ולשלב ביניהם. אתם יכולים להשתמש ב-Gemini API לתרחישי שימוש כמו ניתוח טקסט ותמונות, יצירת תוכן, סוכני דיאלוג, מערכות סיכום וסיווג ועוד. פתיחת הדף כ-Markdown פתיחת המפרט של OpenAPI יצירת אינטראקציה post https://generativelanguage.googleapis.com/v1beta/interactions יצירת אינטראקציה חדשה. גוף הבקשה תשובה גוף הבקשה גוף הבקשה מכיל נתונים במבנה הבא: model ModelOption (אופציונלי) השם של ה-`Model` שמשמש ליצירת האינטראקציה. חובה אם לא צוין הערך agent . ערכים אפשריים: gemini-2.5-pro המודל המתקדם שלנו לשימוש רב-תכליתי, שמצטיין בכתיבת קוד ובמשימות מורכבות של הסקת מסקנות. gemini-2.5-flash מודל ההיגיון ההיברידי הראשון שלנו, שתומך בחלון הקשר של מיליון טוקנים וכולל תקציבי חשיבה. gemini-2.5-flash-preview-09-2025 המודל הכי חדש שמבוסס על מודל 2.5 Flash. 2.5 Flash Preview הוא המודל הכי טוב לעיבוד בקנה מידה גדול, למשימות עם נפח גבוה שדורשות חשיבה ולתרחישי שימוש שבהם נדרשת יכולת פעולה עצמאית. gemini-2.5-flash-lite המודל הכי קטן ומשתלם שלנו, שנועד לשימוש בהיקף נרחב. gemini-2.5-flash-lite-preview-09-2025 המודל העדכני שמבוסס על Gemini 2.5 Flash lite ועבר אופטימיזציה ליעילות בעלויות, לתפוקה גבוהה ולאיכות גבוהה. gemini-2.5-flash-preview-native-audio-dialog מודלים מקוריים של אודיו שעברו אופטימיזציה כדי לספק פלט אודיו באיכות גבוהה יותר, עם קצב טוב יותר, קול טבעי יותר, מלל רב יותר ואווירה טובה יותר. gemini-2.5-flash-image-preview מודל מקורי ליצירת תמונות, שעבר אופטימיזציה למהירות, לגמישות ולהבנה הקשרית. התמחור של קלט ופלט של טקסט זהה לזה של 2.5 Flash. gemini-2.5-pro-preview-tts מודל האודיו שלנו להמרת טקסט לדיבור, 2.5 Pro, מותאם ליצירת דיבור עוצמתי עם זמן אחזור נמוך, כדי ליצור פלט שנשמע טבעי יותר וקל יותר לכוון את ההנחיות. gemini-3-pro-preview המודל הכי חכם שלנו עם יכולות הסקת מסקנות והבנה מולטי-מודאלית ברמה הכי גבוהה, ויכולות עוצמתיות של סוכנים וקידוד. המודל שישלים את ההנחיה.\n\nפרטים נוספים זמינים במאמר בנושא [מודלים](https://ai.google.dev/gemini-api/docs/models). agent AgentOption (אופציונלי) השם של ה-`Agent` ששימש ליצירת האינטראקציה. חובה אם לא צוין הערך `model`. ערכים אפשריים: deep-research-pro-preview-12-2025 Gemini Deep Research Agent הסוכן שאיתו רוצים ליצור אינטראקציה. input Content or array ( Content ) or array ( Turn ) or string (required) הקלט לאינטראקציה (משותף למודל ולסוכן). system_instruction string (optional) הוראה למערכת לגבי האינטראקציה. tools מערך ( Tool ) (אופציונלי) רשימה של הצהרות על כלים שהמודל עשוי להשתמש בהם במהלך האינטראקציה. response_format object (optional) ההגדרה הזו מחייבת שהתגובה שנוצרה תהיה אובייקט JSON שתואם לסכימת ה-JSON שצוינה בשדה הזה. response_mime_type string (optional) סוג ה-MIME של התגובה. השדה הזה נדרש אם מוגדר response_format. stream boolean (אופציונלי) קלט בלבד. אם האינטראקציה תועבר בסטרימינג. store boolean (אופציונלי) קלט בלבד. האם לאחסן את התשובה והבקשה לאחזור מאוחר יותר. background boolean (אופציונלי) האם להריץ את האינטראקציה עם המודל ברקע. generation_config GenerationConfig (optional) הגדרת המודל פרמטרים להגדרת האינטראקציה עם המודל. חלופה ל-`agent_config`. רלוונטי רק אם מוגדר `model`. פרמטרים של הגדרות אישיות לאינטראקציות עם המודל. שדות temperature number (optional) המדיניות קובעת את מידת הרנדומליות של הפלט. top_p number (optional) ההסתברות המצטברת המקסימלית של אסימונים שצריך לקחת בחשבון כשמבצעים דגימה. seed integer (אופציונלי) ה-Seed שמשמש בפענוח לשחזור. stop_sequences array (string) (optional) רשימה של רצפי תווים שיפסיקו את אינטראקציית הפלט. tool_choice ToolChoice (אופציונלי) הכלי שנבחר לאינטראקציה. ההגדרה לבחירת כלי. סוגים אפשריים ToolChoiceType בסוג הזה אין שדות ספציפיים. ToolChoiceConfig allowed_tools AllowedTools (אופציונלי) לא סופק תיאור. ההגדרה של הכלים המותרים. שדות mode ToolChoiceType (optional) המצב של בחירת הכלי. ערכים אפשריים: auto any none validated tools מערך (מחרוזת) (אופציונלי) שמות הכלים המותרים. thinking_level ThinkingLevel (optional) רמת הטוקנים של המחשבות שהמודל צריך ליצור. ערכים אפשריים: low high thinking_summaries ThinkingSummaries (optional) האם לכלול סיכומי מחשבות בתשובה. ערכים אפשריים: auto none max_output_tokens integer (optional) מספר האסימונים המקסימלי שיופיע בתשובה. speech_config SpeechConfig (optional) הגדרות לאינטראקציה קולית. ההגדרה של אינטראקציה קולית. שדות voice string (אופציונלי) הקול של הדובר. language string (אופציונלי) השפה של הדיבור. speaker string (אופציונלי) שם הדובר, שצריך להיות זהה לשם הדובר שצוין בהנחיה. agent_config object (optional) הגדרת הסוכן הגדרות הסוכן. חלופה ל-`generation_config`. רלוונטי רק אם הוגדר `agent`. סוגים אפשריים ערך הדיסקרימינטור הפולימורפי: type DynamicAgentConfig הגדרות של סוכנים דינמיים. type string (אופציונלי) משמש כמפלה סוגים של OpenAPI עבור תוכן oneof. הערך תמיד יהיה "dynamic" . DeepResearchAgentConfig ההגדרה של סוכן Deep Research. type string (אופציונלי) משמש כמפלה סוגים של OpenAPI עבור תוכן oneof. הערך תמיד יהיה "deep-research" . thinking_summaries ThinkingSummaries (אופציונלי) האם לכלול סיכומי מחשבות בתשובה. ערכים אפשריים: auto none previous_interaction_id string (optional) המזהה של האינטראקציה הקודמת, אם יש כזו. response_modalities ResponseModality (optional) האופנים המבוקשים של התגובה (TEXT, IMAGE, AUDIO). ערכים אפשריים: text image audio תשובה מחזירה משאב Interaction . בקשה פשוטה דוגמה לתשובה { "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 } } שיחה עם זיכרון דוגמה לתשובה { "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 } } קלט תמונה דוגמה לתשובה { "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 } } בקשה להפעלת פונקציה דוגמה לתשובה { "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 דוגמה לתשובה { "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 } } אחזור אינטראקציה get https://generativelanguage.googleapis.com/v1beta/interactions/{id} אחזור הפרטים המלאים של אינטראקציה יחידה על סמך הערך של `Interaction.id`. פרמטרים של נתיב או שאילתה תשובה פרמטרים של נתיב או שאילתה id string (חובה) המזהה הייחודי של האינטראקציה לאחזור. stream boolean (אופציונלי) אם המדיניות מוגדרת כ-True, התוכן שנוצר יועבר בהדרגה. ברירת המחדל: False last_event_id string (optional) אופציונלי. אם הפרמטר הזה מוגדר, זרם האינטראקציות ימשיך מהחלק הבא אחרי האירוע שמסומן על ידי מזהה האירוע. אפשר להשתמש בו רק אם הערך של stream הוא true. api_version string (optional) באיזו גרסה של ה-API להשתמש. תשובה מחזירה משאב Interaction . קבלת אינטראקציה דוגמה לתשובה { "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?" } ] } מחיקת אינטראקציה delete https://generativelanguage.googleapis.com/v1beta/interactions/{id} מחיקת האינטראקציה לפי מזהה. פרמטרים של נתיב או שאילתה תשובה פרמטרים של נתיב או שאילתה id string (חובה) המזהה הייחודי של האינטראקציה שרוצים למחוק. api_version string (optional) באיזו גרסה של ה-API להשתמש. תשובה אם הפעולה בוצעה ללא שגיאות, התגובה תהיה ריקה. מחיקת אינטראקציה ביטול אינטראקציה post https://generativelanguage.googleapis.com/v1beta/interactions/{id}/cancel ביטול אינטראקציה לפי מזהה. ההגדרה הזו רלוונטית רק לאינטראקציות ברקע שעדיין פועלות. פרמטרים של נתיב או שאילתה תשובה פרמטרים של נתיב או שאילתה id string (חובה) המזהה הייחודי של האינטראקציה לאחזור. api_version string (optional) באיזו גרסה של ה-API להשתמש. תשובה מחזירה משאב Interaction . ביטול האינטראקציה דוגמה לתשובה { "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" } משאבים אינטראקציה משאב האינטראקציה. שדות model ModelOption (אופציונלי) השם של ה-`Model` שמשמש ליצירת האינטראקציה. ערכים אפשריים: gemini-2.5-pro המודל המתקדם שלנו לשימוש רב-תכליתי, שמצטיין בכתיבת קוד ובמשימות מורכבות של הסקת מסקנות. gemini-2.5-flash מודל ההיגיון ההיברידי הראשון שלנו, שתומך בחלון הקשר של מיליון טוקנים וכולל תקציבי חשיבה. gemini-2.5-flash-preview-09-2025 המודל הכי חדש שמבוסס על מודל 2.5 Flash. 2.5 Flash Preview הוא המודל הכי טוב לעיבוד בקנה מידה גדול, למשימות עם נפח גבוה שדורשות חשיבה ולתרחישי שימוש שבהם נדרשת יכולת פעולה עצמאית. gemini-2.5-flash-lite המודל הכי קטן ומשתלם שלנו, שנועד לשימוש בהיקף נרחב. gemini-2.5-flash-lite-preview-09-2025 המודל העדכני שמבוסס על Gemini 2.5 Flash lite ועבר אופטימיזציה ליעילות בעלויות, לתפוקה גבוהה ולאיכות גבוהה. gemini-2.5-flash-preview-native-audio-dialog מודלים מקוריים של אודיו שעברו אופטימיזציה כדי לספק פלט אודיו באיכות גבוהה יותר, עם קצב טוב יותר, קול טבעי יותר, מלל רב יותר ואווירה טובה יותר. gemini-2.5-flash-image-preview מודל מקורי ליצירת תמונות, שעבר אופטימיזציה למהירות, לגמישות ולהבנה הקשרית. התמחור של קלט ופלט של טקסט זהה לזה של 2.5 Flash. gemini-2.5-pro-preview-tts מודל האודיו שלנו להמרת טקסט לדיבור, 2.5 Pro, מותאם ליצירת דיבור עוצמתי עם זמן אחזור נמוך, כדי ליצור פלט שנשמע טבעי יותר וקל יותר לכוון את ההנחיות. gemini-3-pro-preview המודל הכי חכם שלנו עם יכולות הסקת מסקנות והבנה מולטי-מודאלית ברמה הכי גבוהה, ויכולות עוצמתיות של סוכנים וקידוד. המודל שישלים את ההנחיה.\n\nפרטים נוספים זמינים במאמר בנושא [מודלים](https://ai.google.dev/gemini-api/docs/models). agent AgentOption (אופציונלי) השם של ה-`Agent` ששימש ליצירת האינטראקציה. ערכים אפשריים: deep-research-pro-preview-12-2025 Gemini Deep Research Agent הסוכן שאיתו רוצים ליצור אינטראקציה. id string (optional) פלט בלבד. מזהה ייחודי של השלמת האינטראקציה. status enum (string) (optional) פלט בלבד. הסטטוס של האינטראקציה. ערכים אפשריים: in_progress requires_action completed failed cancelled created string (אופציונלי) פלט בלבד. השעה שבה התגובה נוצרה בפורמט ISO 8601 (YYYY-MM-DDThh:mm:ssZ). updated string (אופציונלי) פלט בלבד. השעה שבה התשובה עודכנה לאחרונה בפורמט ISO 8601 (YYYY-MM-DDThh:mm:ssZ). role string (אופציונלי) פלט בלבד. התפקיד של האינטראקציה. outputs array ( Content ) (אופציונלי) פלט בלבד. תשובות מהמודל. object string (אופציונלי) פלט בלבד. סוג האובייקט של האינטראקציה. הערך שמוגדר תמיד הוא interaction. הערך תמיד יהיה "interaction" . usage Usage (אופציונלי) פלט בלבד. נתונים סטטיסטיים על השימוש בטוקן של בקשת האינטראקציה. נתונים סטטיסטיים על השימוש בטוקן של בקשת האינטראקציה. שדות total_input_tokens integer (optional) מספר הטוקנים בהנחיה (בהקשר). input_tokens_by_modality ModalityTokens (optional) פירוט של השימוש בטוקנים של קלט לפי אופן השימוש. מספר הטוקנים של אופן תגובה יחיד. שדות modality ResponseModality (אופציונלי) האופן שבו האסימונים נספרים. ערכים אפשריים: text image audio tokens integer (אופציונלי) מספר הטוקנים של האופן. total_cached_tokens integer (optional) מספר הטוקנים בחלק המאוחסן במטמון של ההנחיה (התוכן המאוחסן במטמון). cached_tokens_by_modality ModalityTokens (optional) פירוט של השימוש בטוקנים במטמון לפי אופן השימוש. מספר הטוקנים של אופן תגובה יחיד. שדות modality ResponseModality (אופציונלי) האופן שבו האסימונים נספרים. ערכים אפשריים: text image audio tokens integer (אופציונלי) מספר הטוקנים של האופן. total_output_tokens integer (optional) המספר הכולל של טוקנים בכל התגובות שנוצרו. output_tokens_by_modality ModalityTokens (optional) פירוט של השימוש באסימוני פלט לפי אופן השימוש. מספר הטוקנים של אופן תגובה יחיד. שדות modality ResponseModality (אופציונלי) האופן שבו האסימונים נספרים. ערכים אפשריים: text image audio tokens integer (אופציונלי) מספר הטוקנים של האופן. total_tool_use_tokens integer (optional) מספר הטוקנים שמופיעים בהנחיות לשימוש בכלים. tool_use_tokens_by_modality ModalityTokens (optional) פירוט של השימוש בטוקנים של כלי לפי אופן השימוש. מספר הטוקנים של אופן תגובה יחיד. שדות modality ResponseModality (אופציונלי) האופן שבו האסימונים נספרים. ערכים אפשריים: text image audio tokens integer (אופציונלי) מספר הטוקנים של האופן. total_reasoning_tokens integer (optional) מספר הטוקנים של המחשבות עבור מודלים של חשיבה. total_tokens integer (optional) המספר הכולל של הטוקנים בבקשת האינטראקציה (הנחיה + תגובות + טוקנים פנימיים אחרים). previous_interaction_id string (optional) המזהה של האינטראקציה הקודמת, אם יש כזו. דוגמאות דוגמה { "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 } } מודלים של נתונים תוכן תוכן התשובה. סוגים אפשריים ערך הדיסקרימינטור הפולימורפי: type TextContent בלוק של תוכן טקסט. text string (אופציונלי) תוכן הטקסט. type string (חובה) משמש כמפלה סוגים של OpenAPI עבור תוכן oneof. הערך תמיד יהיה "text" . annotations Annotation (אופציונלי) מידע על ציטוט של תוכן שנוצר על ידי מודל. מידע על ציטוט של תוכן שנוצר על ידי מודל. שדות start_index integer (optional) תחילת הקטע בתשובה שמשויך למקור הזה. האינדקס מציין את תחילת הפלח, בבייטים. end_index integer (optional) סוף הקטע המשויך, לא כולל. source string (אופציונלי) המקור שמיוחס לחלק מהטקסט. יכול להיות כתובת URL, שם או מזהה אחר. ImageContent בלוק תוכן של תמונה. data string (אופציונלי) לא סופק תיאור. uri מחרוזת (אופציונלי) לא סופק תיאור. mime_type ImageMimeTypeOption (optional) לא סופק תיאור. ערכים אפשריים: image/png image/jpeg image/webp image/heic image/heif סוג ה-MIME של התמונה. type string (חובה) משמש כמפלה סוגים של OpenAPI עבור תוכן oneof. הערך תמיד יהיה "image" . resolution MediaResolution (אופציונלי) הרזולוציה של המדיה. ערכים אפשריים: low medium high AudioContent בלוק של תוכן אודיו. data string (אופציונלי) לא סופק תיאור. uri מחרוזת (אופציונלי) לא סופק תיאור. mime_type AudioMimeTypeOption (optional) לא סופק תיאור. ערכים אפשריים: audio/wav audio/mp3 audio/aiff audio/aac audio/ogg audio/flac סוג ה-MIME של האודיו. type string (חובה) משמש כמפלה סוגים של OpenAPI עבור תוכן oneof. הערך תמיד יהיה "audio" . DocumentContent אבן בניין של תוכן במסמך. data string (אופציונלי) לא סופק תיאור. uri מחרוזת (אופציונלי) לא סופק תיאור. mime_type string (optional) לא סופק תיאור. type string (חובה) משמש כמפלה סוגים של OpenAPI עבור תוכן oneof. הערך תמיד יהיה "document" . VideoContent בלוק של תוכן וידאו. data string (אופציונלי) לא סופק תיאור. uri מחרוזת (אופציונלי) לא סופק תיאור. mime_type VideoMimeTypeOption (optional) לא סופק תיאור. ערכים אפשריים: video/mp4 video/mpeg video/mov video/avi video/x-flv video/mpg video/webm video/wmv video/3gpp סוג ה-MIME של הסרטון. type string (חובה) משמש כמפלה סוגים של OpenAPI עבור תוכן oneof. הערך תמיד יהיה "video" . resolution MediaResolution (אופציונלי) הרזולוציה של המדיה. ערכים אפשריים: low medium high ThoughtContent בלוק של מחשבה. signature string (אופציונלי) חתימה שתתאים למקור הנתונים בעורף האתר, כדי שתהיה חלק מהיצירה. type string (חובה) משמש כמפלה סוגים של OpenAPI עבור תוכן oneof. הערך תמיד יהיה "thought" . summary ThoughtSummary (אופציונלי) סיכום של המחשבה. סיכום של המחשבה. FunctionCallContent בלוק תוכן של קריאה לכלי פונקציה. name string (required) השם של הכלי שאליו מתקשרים. ארגומנטים object (חובה) הארגומנטים להעברה לפונקציה. type string (חובה) משמש כמפלה סוגים של OpenAPI עבור תוכן oneof. הערך תמיד יהיה "function_call" . id string (חובה) מזהה ייחודי של קריאה ספציפית לכלי. FunctionResultContent בלוק תוכן של תוצאה של כלי פונקציה. name string (אופציונלי) השם של הכלי שהופעל. is_error boolean (optional) האם קריאת הכלי הסתיימה בשגיאה. type string (חובה) משמש כמפלה סוגים של OpenAPI עבור תוכן oneof. הערך תמיד יהיה "function_result" . result object or string (required) התוצאה של קריאת הפונקציה. call_id string (required) מזהה שצריך להיות זהה למזהה מבלוק קריאת הפונקציה. CodeExecutionCallContent תוכן שכולל ביצוע קוד. arguments CodeExecutionCallArguments (optional) הארגומנטים להעברה לביצוע הקוד. הארגומנטים להעברה לביצוע הקוד. שדות language enum (string) (optional) שפת התכנות של ה-`code`. ערכים אפשריים: python code string (אופציונלי) הקוד שיופעל. type string (חובה) משמש כמפלה סוגים של OpenAPI עבור תוכן oneof. הערך תמיד יהיה "code_execution_call" . id string (optional) מזהה ייחודי של קריאה ספציפית לכלי. CodeExecutionResultContent תוכן של תוצאת הרצת הקוד. result string (אופציונלי) הפלט של הרצת הקוד. is_error boolean (optional) האם הרצת הקוד הסתיימה בשגיאה. signature string (אופציונלי) גיבוב חתימה לאימות בקצה העורפי. type string (חובה) משמש כמפלה סוגים של OpenAPI עבור תוכן oneof. הערך תמיד יהיה "code_execution_result" . call_id string (optional) מזהה שצריך להיות זהה למזהה מבלוק הקוד של הקריאה להרצת הקוד. UrlContextCallContent תוכן ההקשר של כתובת ה-URL. arguments UrlContextCallArguments (optional) הארגומנטים להעברה להקשר של כתובת ה-URL. הארגומנטים להעברה להקשר של כתובת ה-URL. שדות urls array (string) (optional) כתובות ה-URL לאחזור. type string (חובה) משמש כמפלה סוגים של OpenAPI עבור תוכן oneof. הערך תמיד יהיה "url_context_call" . id string (optional) מזהה ייחודי של קריאה ספציפית לכלי. UrlContextResultContent תוכן התוצאה של ההקשר של כתובת ה-URL. signature string (אופציונלי) החתימה של תוצאת ההקשר של כתובת ה-URL. result UrlContextResult (אופציונלי) התוצאות של ההקשר של כתובת ה-URL. התוצאה של ההקשר של כתובת ה-URL. שדות url string (optional) כתובת ה-URL שאוחזרה. status enum (string) (optional) הסטטוס של אחזור כתובת ה-URL. ערכים אפשריים: success error paywall unsafe is_error boolean (optional) האם ההקשר של כתובת ה-URL הוביל לשגיאה. type string (חובה) משמש כמפלה סוגים של OpenAPI עבור תוכן oneof. הערך תמיד יהיה "url_context_result" . call_id string (optional) מזהה שצריך להיות זהה למזהה מבלוק השיחות של הקשר של כתובת ה-URL. GoogleSearchCallContent תוכן בחיפוש Google. arguments GoogleSearchCallArguments (optional) הארגומנטים להעברה לחיפוש Google. הארגומנטים להעברה לחיפוש Google. שדות queries array (string) (optional) שאילתות לחיפוש באינטרנט לצורך המשך החיפוש באינטרנט. type string (חובה) משמש כמפלה סוגים של OpenAPI עבור תוכן oneof. הערך תמיד יהיה "google_search_call" . id string (optional) מזהה ייחודי של קריאה ספציפית לכלי. GoogleSearchResultContent תוכן של תוצאות חיפוש ב-Google. signature string (אופציונלי) החתימה של תוצאת החיפוש ב-Google. result GoogleSearchResult (אופציונלי) תוצאות מחיפוש Google. התוצאה של חיפוש Google. שדות url string (optional) הפניה ל-URI של תוצאת החיפוש. title string (אופציונלי) הכותרת של תוצאת החיפוש. rendered_content string (אופציונלי) קטע קוד של תוכן אינטרנט שאפשר להטמיע בדף אינטרנט או בתצוגת אינטרנט של אפליקציה. is_error boolean (optional) האם חיפוש Google הסתיים בשגיאה. type string (חובה) משמש כמפלה סוגים של OpenAPI עבור תוכן oneof. הערך תמיד יהיה "google_search_result" . call_id string (optional) מזהה שתואם למזהה מחסימת שיחות בחיפוש Google. McpServerToolCallContent תוכן הקריאה לכלי MCPServer. name string (required) השם של הכלי שהופעל. server_name string (required) השם של שרת ה-MCP שבו נעשה שימוש. ארגומנטים object (חובה) אובייקט ה-JSON של הארגומנטים של הפונקציה. type string (חובה) משמש כמפלה סוגים של OpenAPI עבור תוכן oneof. הערך תמיד יהיה "mcp_server_tool_call" . id string (חובה) מזהה ייחודי של קריאה ספציפית לכלי. McpServerToolResultContent תוכן התוצאה של הכלי MCPServer. name string (אופציונלי) השם של הכלי שהופעל בקריאה הספציפית הזו לכלי. server_name string (optional) השם של שרת ה-MCP שבו נעשה שימוש. type string (חובה) משמש כמפלה סוגים של OpenAPI עבור תוכן oneof. הערך תמיד יהיה "mcp_server_tool_result" . result object or string (required) התוצאה של קריאת הפונקציה. call_id string (required) המזהה צריך להיות זהה למזהה מבלוק הקריאה לכלי של שרת ה-MCP. FileSearchResultContent תוכן של תוצאת חיפוש קבצים. result FileSearchResult (אופציונלי) התוצאות של חיפוש הקבצים. התוצאה של חיפוש הקבצים. שדות title string (אופציונלי) הכותרת של תוצאת החיפוש. text string (אופציונלי) הטקסט של תוצאת החיפוש. file_search_store string (optional) השם של מאגר החיפוש של הקבצים. type string (חובה) משמש כמפלה סוגים של OpenAPI עבור תוכן oneof. הערך תמיד יהיה "file_search_result" . דוגמאות טקסט { "type" : "text" , "text" : "Hello, how are you?" } תמונה { "type" : "image" , "data" : "BASE64_ENCODED_IMAGE" , "mime_type" : "image/png" } אודיו { "type" : "audio" , "data" : "BASE64_ENCODED_AUDIO" , "mime_type" : "audio/wav" } מסמך { "type" : "document" , "data" : "BASE64_ENCODED_DOCUMENT" , "mime_type" : "application/pdf" } וידאו { "type" : "video" , "uri" : "https://www.youtube.com/watch?v=9hE5-98ZeCg" } חשיבה { "type" : "thought" , "summary" : [ { "type" : "text" , "text" : "The user is asking about the weather. I should use the get_weather tool." } ], "signature" : "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" } בקשה להפעלת פונקציה { "type" : "function_call" , "name" : "get_weather" , "id" : "gth23981" , "arguments" : { "location" : "Boston, MA" } } תוצאת הפונקציה { "type" : "function_result" , "name" : "get_weather" , "call_id" : "gth23981" , "result" : { "weather" : "sunny" } } קריאה להרצת קוד { "type" : "code_execution_call" , "id" : "call_123456" , "arguments" : { "language" : "python" , "code" : "print('hello world')" } } תוצאה של ביצוע קוד { "type" : "code_execution_result" , "call_id" : "call_123456" , "result" : "hello world\n" } שיחה בהקשר של כתובת URL { "type" : "url_context_call" , "id" : "call_123456" , "arguments" : { "urls" : [ "https://www.example.com" ] } } תוצאה של הקשר כתובת ה-URL { "type" : "url_context_result" , "call_id" : "call_123456" , "result" : [ { "url" : "https://www.example.com" , "status" : "SUCCESS" } ] } שיחה בחיפוש Google { "type" : "google_search_call" , "id" : "call_123456" , "arguments" : { "queries" : [ "weather in Boston" ] } } תוצאת חיפוש ב-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" } } תוצאה של כלי שרת ה-MCP { "type" : "mcp_server_tool_result" , "name" : "get_forecast" , "server_name" : "weather_server" , "call_id" : "call_123456" , "result" : "sunny" } תוצאת חיפוש של קובץ { "type" : "file_search_result" , "result" : [ { "text" : "search result chunk" , "file_search_store" : "file_search_store" } ] } כלי סוגים אפשריים ערך הדיסקרימינטור הפולימורפי: type תפקיד כלי שהמודל יכול להשתמש בו. name string (אופציונלי) שם הפונקציה. description string (אופציונלי) תיאור של הפונקציה. parameters object (אופציונלי) סכימת ה-JSON של הפרמטרים של הפונקציה. type string (חובה) לא סופק תיאור. הערך תמיד יהיה "function" . GoogleSearch כלי שהמודל יכול להשתמש בו כדי לחפש ב-Google. type string (חובה) לא סופק תיאור. הערך תמיד יהיה "google_search" . CodeExecution כלי שהמודל יכול להשתמש בו כדי להריץ קוד. type string (חובה) לא סופק תיאור. הערך תמיד יהיה "code_execution" . UrlContext כלי שהמודל יכול להשתמש בו כדי לאחזר הקשר של כתובת URL. type string (חובה) לא סופק תיאור. הערך תמיד יהיה "url_context" . ComputerUse כלי שהמודל יכול להשתמש בו כדי לקיים אינטראקציה עם המחשב. type string (חובה) לא סופק תיאור. הערך תמיד יהיה "computer_use" . environment enum (string) (optional) הסביבה שבה מתבצעת הפעולה. ערכים אפשריים: browser excludedPredefinedFunctions array (string) (optional) רשימת הפונקציות המוגדרות מראש שמוחרגות מהקריאה למודל. McpServer שרת MCPServer הוא שרת שהמודל יכול להפעיל כדי לבצע פעולות. type string (חובה) לא סופק תיאור. הערך תמיד יהיה "mcp_server" . name string (אופציונלי) השם של MCPServer. url string (optional) כתובת ה-URL המלאה של נקודת הקצה של שרת ה-MCP. דוגמה: "https://api.example.com/mcp" headers object (אופציונלי) אופציונלי: שדות לכותרות אימות, פסק זמן וכו', אם צריך. allowed_tools AllowedTools (אופציונלי) הכלים המותרים. ההגדרה של הכלים המותרים. שדות mode ToolChoiceType (optional) המצב של בחירת הכלי. ערכים אפשריים: auto any none validated tools מערך (מחרוזת) (אופציונלי) שמות הכלים המותרים. FileSearch כלי שהמודל יכול להשתמש בו כדי לחפש קבצים. file_search_store_names array (string) (optional) הקובץ מכיל את שמות החנויות שרוצים לחפש. top_k integer (optional) מספר החלקים של אחזור סמנטי שיש לאחזר. metadata_filter string (אופציונלי) מסנן מטא-נתונים להחלה על המסמכים ועל חלקי הטקסט שחולצו באמצעות אחזור סמנטי. type string (חובה) לא סופק תיאור. הערך תמיד יהיה "file_search" . דוגמאות פונקציה GoogleSearch CodeExecution UrlContext ComputerUse McpServer FileSearch Turn שדות role string (אופציונלי) הגורם שיזם את התור הזה. צריך להיות משתמש לקלט או מודל לפלט של המודל. content array ( Content ) or string (optional) התוכן של התור. דוגמאות תור המשתמש { "role" : "user" , "content" : [ { "type" : "text" , "text" : "user turn" } ] } התור של המודל { "role" : "model" , "content" : [ { "type" : "text" , "text" : "model turn" } ] } InteractionSseEvent סוגים אפשריים ערך הדיסקרימינטור הפולימורפי: event_type InteractionEvent event_type enum (string) (optional) לא סופק תיאור. ערכים אפשריים: interaction.start interaction.complete interaction Interaction (אופציונלי) לא סופק תיאור. event_id string (optional) טוקן event_id שישמש להמשך זרם האינטראקציות, מהאירוע הזה. InteractionStatusUpdate interaction_id string (optional) לא סופק תיאור. status enum (string) (optional) לא סופק תיאור. ערכים אפשריים: in_progress requires_action completed failed cancelled event_type string (optional) לא סופק תיאור. הערך תמיד יהיה "interaction.status_update" . event_id string (optional) טוקן event_id שישמש להמשך זרם האינטראקציות, מהאירוע הזה. ContentStart index integer (אופציונלי) לא סופק תיאור. content Content (optional) לא סופק תיאור. event_type string (optional) לא סופק תיאור. הערך תמיד יהיה "content.start" . event_id string (optional) טוקן event_id שישמש להמשך זרם האינטראקציות, מהאירוע הזה. ContentDelta index integer (אופציונלי) לא סופק תיאור. event_type string (optional) לא סופק תיאור. הערך תמיד יהיה "content.delta" . event_id string (optional) טוקן event_id שישמש להמשך זרם האינטראקציות, מהאירוע הזה. delta object (אופציונלי) לא סופק תיאור. סוגים אפשריים ערך הדיסקרימינטור הפולימורפי: type TextDelta text string (אופציונלי) לא סופק תיאור. type string (חובה) משמש כמפלה סוגים של OpenAPI עבור תוכן oneof. הערך תמיד יהיה "text" . annotations Annotation (אופציונלי) מידע על ציטוט של תוכן שנוצר על ידי מודל. מידע על ציטוט של תוכן שנוצר על ידי מודל. שדות start_index integer (optional) תחילת הקטע בתשובה שמשויך למקור הזה. האינדקס מציין את תחילת הפלח, בבייטים. end_index integer (optional) סוף הקטע המשויך, לא כולל. source string (אופציונלי) המקור שמיוחס לחלק מהטקסט. יכול להיות כתובת URL, שם או מזהה אחר. ImageDelta data string (אופציונלי) לא סופק תיאור. uri מחרוזת (אופציונלי) לא סופק תיאור. mime_type ImageMimeTypeOption (אופציונלי) לא סופק תיאור. ערכים אפשריים: image/png image/jpeg image/webp image/heic image/heif סוג ה-MIME של התמונה. type string (חובה) משמש כמפלה סוגים של OpenAPI עבור תוכן oneof. הערך תמיד יהיה "image" . resolution MediaResolution (אופציונלי) הרזולוציה של המדיה. ערכים אפשריים: low medium high AudioDelta data string (אופציונלי) לא סופק תיאור. uri מחרוזת (אופציונלי) לא סופק תיאור. mime_type AudioMimeTypeOption (optional) לא סופק תיאור. ערכים אפשריים: audio/wav audio/mp3 audio/aiff audio/aac audio/ogg audio/flac סוג ה-MIME של האודיו. type string (חובה) משמש כמפלה סוגים של OpenAPI עבור תוכן oneof. הערך תמיד יהיה "audio" . DocumentDelta data string (אופציונלי) לא סופק תיאור. uri מחרוזת (אופציונלי) לא סופק תיאור. mime_type string (optional) לא סופק תיאור. type string (חובה) משמש כמפלה סוגים של OpenAPI עבור תוכן oneof. הערך תמיד יהיה "document" . VideoDelta data string (אופציונלי) לא סופק תיאור. uri מחרוזת (אופציונלי) לא סופק תיאור. mime_type VideoMimeTypeOption (optional) לא סופק תיאור. ערכים אפשריים: video/mp4 video/mpeg video/mov video/avi video/x-flv video/mpg video/webm video/wmv video/3gpp סוג ה-MIME של הסרטון. type string (חובה) משמש כמפלה סוגים של OpenAPI עבור תוכן oneof. הערך תמיד יהיה "video" . resolution MediaResolution (אופציונלי) הרזולוציה של המדיה. ערכים אפשריים: low medium high ThoughtSummaryDelta type string (חובה) משמש כמפלה סוגים של OpenAPI עבור תוכן oneof. הערך תמיד יהיה "thought_summary" . content ImageContent or TextContent (optional) לא סופק תיאור. ThoughtSignatureDelta signature string (אופציונלי) חתימה שתתאים למקור הנתונים בעורף האתר, כדי שתהיה חלק מהיצירה. type string (חובה) משמש כמפלה סוגים של OpenAPI עבור תוכן oneof. הערך תמיד יהיה "thought_signature" . FunctionCallDelta name string (אופציונלי) לא סופק תיאור. arguments object (אופציונלי) לא סופק תיאור. type string (חובה) משמש כמפלה סוגים של OpenAPI עבור תוכן oneof. הערך תמיד יהיה "function_call" . id string (optional) מזהה ייחודי של קריאה ספציפית לכלי. FunctionResultDelta name string (אופציונלי) לא סופק תיאור. is_error boolean (optional) לא סופק תיאור. type string (חובה) משמש כמפלה סוגים של OpenAPI עבור תוכן oneof. הערך תמיד יהיה "function_result" . result object or string (optional) דלתא של תוצאת קריאה לכלי. call_id string (optional) מזהה שצריך להיות זהה למזהה מבלוק קריאת הפונקציה. CodeExecutionCallDelta arguments CodeExecutionCallArguments (optional) לא סופק תיאור. הארגומנטים להעברה לביצוע הקוד. שדות language enum (string) (optional) שפת התכנות של ה-`code`. ערכים אפשריים: python code string (אופציונלי) הקוד שיופעל. type string (חובה) משמש כמפלה סוגים של OpenAPI עבור תוכן oneof. הערך תמיד יהיה "code_execution_call" . id string (optional) מזהה ייחודי של קריאה ספציפית לכלי. CodeExecutionResultDelta result string (אופציונלי) לא סופק תיאור. is_error boolean (optional) לא סופק תיאור. signature string (אופציונלי) לא סופק תיאור. type string (חובה) משמש כמפלה סוגים של OpenAPI עבור תוכן oneof. הערך תמיד יהיה "code_execution_result" . call_id string (optional) מזהה שצריך להיות זהה למזהה מבלוק קריאת הפונקציה. UrlContextCallDelta arguments UrlContextCallArguments (optional) לא סופק תיאור. הארגומנטים להעברה להקשר של כתובת ה-URL. שדות urls array (string) (optional) כתובות ה-URL לאחזור. type string (חובה) משמש כמפלה סוגים של OpenAPI עבור תוכן oneof. הערך תמיד יהיה "url_context_call" . id string (optional) מזהה ייחודי של קריאה ספציפית לכלי. UrlContextResultDelta signature string (אופציונלי) לא סופק תיאור. result UrlContextResult (אופציונלי) לא סופק תיאור. התוצאה של ההקשר של כתובת ה-URL. שדות url string (optional) כתובת ה-URL שאוחזרה. status enum (string) (optional) הסטטוס של אחזור כתובת ה-URL. ערכים אפשריים: success error paywall unsafe is_error boolean (optional) לא סופק תיאור. type string (חובה) משמש כמפלה סוגים של OpenAPI עבור תוכן oneof. הערך תמיד יהיה "url_context_result" . call_id string (optional) מזהה שצריך להיות זהה למזהה מבלוק קריאת הפונקציה. GoogleSearchCallDelta arguments GoogleSearchCallArguments (optional) לא סופק תיאור. הארגומנטים להעברה לחיפוש Google. שדות queries array (string) (optional) שאילתות לחיפוש באינטרנט לצורך המשך החיפוש באינטרנט. type string (חובה) משמש כמפלה סוגים של OpenAPI עבור תוכן oneof. הערך תמיד יהיה "google_search_call" . id string (optional) מזהה ייחודי של קריאה ספציפית לכלי. GoogleSearchResultDelta signature string (אופציונלי) לא סופק תיאור. result GoogleSearchResult (אופציונלי) לא סופק תיאור. התוצאה של חיפוש Google. שדות url string (optional) הפניה ל-URI של תוצאת החיפוש. title string (אופציונלי) הכותרת של תוצאת החיפוש. rendered_content string (אופציונלי) קטע קוד של תוכן אינטרנט שאפשר להטמיע בדף אינטרנט או בתצוגת אינטרנט של אפליקציה. is_error boolean (optional) לא סופק תיאור. type string (חובה) משמש כמפלה סוגים של OpenAPI עבור תוכן oneof. הערך תמיד יהיה "google_search_result" . call_id string (optional) מזהה שצריך להיות זהה למזהה מבלוק קריאת הפונקציה. McpServerToolCallDelta name string (אופציונלי) לא סופק תיאור. server_name string (optional) לא סופק תיאור. arguments object (אופציונלי) לא סו | 2026-01-13T09:29:53 |
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