Quest 5 - I want to add conversation memory to my app
In this quest, you’ll explore how to build GenAI apps using a modern JavaScript AI framework, LangChain.js. LangChain.js helps you orchestrate prompts, manage memory, and build multi-step AI workflows all while staying in your favorite language. Using LangChain.js you will make your GenAI chat app feel truly personal by teaching it to remember. In this quest, you’ll upgrade your AI prototype with conversation memory, allowing it to recall previous interactions making the conversation flow more naturally and human-like. 👉 Want to catch up on the full program or grab more quests? https://aka.ms/JSAIBuildathon 💬 Got questions or want to hang with other builders? Join us on Discord — head to the #js-ai-build-a-thon channel. 🔧 What You’ll Build A smarter, context-aware chat backend that: Remembers user conversations across multiple exchanges (e.g., knowing "Terry" after you introduced yourself as Terry) Maintains session-specific memory so each chat thread feels consistent and coherent Uses LangChain.js abstractions to streamline state management. 🚀 What You’ll Need ✅ A GitHub account ✅ Visual Studio Code ✅ Node.js ✅ A working chat app from previous quests (UI + Azure-based chat endpoint) 🛠️ Concepts You’ll Explore Integrating LangChain.js Learn how LangChain.js simplifies building AI-powered web applications by providing a standard interface to connect your backend with Azure’s language models. You’ll see how using this framework decouples your code and unlocks advanced features. Adding Conversation Memory Understand why memory matters in chatbots. Explore how conversation memory lets your app remember previous user messages within each session enabling more context-aware and coherent conversations. Session-based Message History Implement session-specific chat histories using LangChain’s memory modules (ChatMessageHistory and BufferMemory). Each user or session gets its own history, so previous questions and answers inform future responses without manual log management. Seamless State Management Experience how LangChain handles chat logs and memory behind the scenes, freeing you from manually stitching together chat history or juggling context with every prompt. 📖 Bonus Resources to Go Deeper Exploring Generative AI in App Development: LangChain.js and Azure: a video introduction to LangChain.js and how you can build a project with LangChain.js and Azure 🦜️🔗 Langchain: the official LangChain.js documentation. GitHub - Azure-Samples/serverless-chat-langchainjs: Build your own serverless AI Chat with Retrieval-Augmented-Generation using LangChain.js, TypeScript and Azure: A GitHub sample that helps you build your own serverless AI Chat with Retrieval-Augmented-Generation using LangChain.js, TypeScript and Azure GitHub - Azure-Samples/langchainjs-quickstart-demo: Build a generative AI application using LangChain.js, from local to Azure: A GitHub sample that helps you build a generative AI application using LangChain.js, from local to Azure. Microsoft | 🦜️🔗 Langchain Official LangChain documentation on all functionalities related to Microsoft and Microsoft Azure. Quest 4 - I want to connect my AI prototype to external data using RAG | Microsoft Community Hub a link to the previous quest instructions.How to use Comments as Prompts in GitHub Copilot for Visual Studio
GitHub Copilot is a coding assistant powered by Artificial Intelligence (AI), which can run in various environments and help you be more efficient in your daily coding tasks. In this new short video, Bruno shows you how to use inline comments to generate code with GitHub Copilot.Mastering Query Fields in Azure AI Document Intelligence with C#
Introduction Azure AI Document Intelligence simplifies document data extraction, with features like query fields enabling targeted data retrieval. However, using these features with the C# SDK can be tricky. This guide highlights a real-world issue, provides a corrected implementation, and shares best practices for efficient usage. Use case scenario During the cause of Azure AI Document Intelligence software engineering code tasks or review, many developers encountered an error while trying to extract fields like "FullName," "CompanyName," and "JobTitle" using `AnalyzeDocumentAsync`: The error might be similar to Inner Error: The parameter urlSource or base64Source is required. This is a challenge referred to as parameter errors and SDK changes. Most problematic code are looks like below in C#: BinaryData data = BinaryData.FromBytes(Content); var queryFields = new List<string> { "FullName", "CompanyName", "JobTitle" }; var operation = await client.AnalyzeDocumentAsync( WaitUntil.Completed, modelId, data, "1-2", queryFields: queryFields, features: new List<DocumentAnalysisFeature> { DocumentAnalysisFeature.QueryFields } ); One of the reasons this failed was that the developer was using `Azure.AI.DocumentIntelligence v1.0.0`, where `base64Source` and `urlSource` must be handled internally. Because the older examples using `AnalyzeDocumentContent` no longer apply and leading to errors. Practical Solution Using AnalyzeDocumentOptions. Alternative Method using manual JSON Payload. Using AnalyzeDocumentOptions The correct method involves using AnalyzeDocumentOptions, which streamlines the request construction using the below steps: Prepare the document content: BinaryData data = BinaryData.FromBytes(Content); Create AnalyzeDocumentOptions: var analyzeOptions = new AnalyzeDocumentOptions(modelId, data) { Pages = "1-2", Features = { DocumentAnalysisFeature.QueryFields }, QueryFields = { "FullName", "CompanyName", "JobTitle" } }; - `modelId`: Your trained model’s ID. - `Pages`: Specify pages to analyze (e.g., "1-2"). - `Features`: Enable `QueryFields`. - `QueryFields`: Define which fields to extract. Run the analysis: Operation<AnalyzeResult> operation = await client.AnalyzeDocumentAsync( WaitUntil.Completed, analyzeOptions ); AnalyzeResult result = operation.Value; The reason this works: The SDK manages `base64Source` automatically. This approach matches the latest SDK standards. It results in cleaner, more maintainable code. Alternative method using manual JSON payload For advanced use cases where more control over the request is needed, you can manually create the JSON payload. For an example: var queriesPayload = new { queryFields = new[] { new { key = "FullName" }, new { key = "CompanyName" }, new { key = "JobTitle" } } }; string jsonPayload = JsonSerializer.Serialize(queriesPayload); BinaryData requestData = BinaryData.FromString(jsonPayload); var operation = await client.AnalyzeDocumentAsync( WaitUntil.Completed, modelId, requestData, "1-2", features: new List<DocumentAnalysisFeature> { DocumentAnalysisFeature.QueryFields } ); When to use the above: Custom request formats Non-standard data source integration Key points to remember Breaking changes exist between preview versions and v1.0.0 by checking the SDK version. Prefer `AnalyzeDocumentOptions` for simpler, error-free integration by using built-In classes. Ensure your content is wrapped in `BinaryData` or use a direct URL for correct document input: Conclusion In this article, we have seen how you can use AnalyzeDocumentOptions to significantly improves how you integrate query fields with Azure AI Document Intelligence in C#. It ensures your solution is up-to-date, readable, and more reliable. Staying aware of SDK updates and evolving best practices will help you unlock deeper insights from your documents effortlessly. Reference Official AnalyzeDocumentAsync Documentation. Official Azure SDK documentation. Azure Document Intelligence C# SDK support add-on query field.Construa, inove e #Hacktogether!
🛠️ Construa, inove e #Hacktogether! 🛠️ 2025 é o ano dos agentes de IA! Mas o que exatamente é um agente? E como você pode criar um? Seja você um desenvolvedor experiente ou esteja apenas começando, este hackathon virtual GRATUITO de três semanas é sua chance de mergulhar no desenvolvimento de agentes de IA. 🔥 Aprenda com mais de 20 sessões lideradas por especialistas, transmitidas ao vivo no YouTube, abordando os principais frameworks, como Semantic Kernel, Autogen, o novo Azure AI Agents SDK e o Microsoft 365 Agents SDK. 💡 Coloque a mão na massa, explore sua criatividade e crie agentes de IA poderosos! Depois, envie seu projeto e concorra a prêmios incríveis! 💸 Datas importantes: Sessões com especialistas: 8 de abril de 2025 – 30 de abril de 2025 Prazo para envio do hack: 30 de abril de 2025, 23:59 PST Não perca essa oportunidade—junte-se a nós e comece a construir o futuro da IA! 🔥 Inscrição 🎟️ Garanta sua vaga agora! Preencha o formulário para confirmar sua participação no hackathon. Em seguida, confira a programação das transmissões ao vivo e inscreva-se nas sessões que mais te interessam. Após se inscrever, apresente-se e procure por colegas de equipe! Submissão de Projetos 🚀 Leia atentamente as regras oficiais e certifique-se de entender os requisitos. Quando seu projeto estiver pronto, siga o processo de submissão. 📝 Prêmios e Categorias 🏅 Os projetos serão avaliados por um painel de jurados, incluindo engenheiros da Microsoft, gerentes de produto e defensores de desenvolvedores. Os critérios de avaliação incluirão inovação, impacto, usabilidade técnica e alinhamento com a categoria correspondente do hackathon. Cada equipe vencedora nas categorias abaixo receberá um prêmio. 💸 Melhor Agente Geral - $20,000 Melhor Agente em Python - $5,000 Melhor Agente em C# - $5,000 Melhor Agente em Java - $5,000 Melhor Agente em JavaScript/TypeScript - $5,000 Melhor Agente Copilot (usando Microsoft Copilot Studio ou Microsoft 365 Agents SDK) - $5,000 Melhor Uso do Azure AI Agent Service - $5,000 Cada equipe pode ganhar em apenas uma categoria. Todos os participantes que submeterem um projeto receberão um badge digital. Transmissões 📅 Português Inscreva-se em todas as sessões em português Dia/Horário Tópico Recursos 4/8 12:00 PM PT Bem-vindo ao AI Agents Hackathon - 4/10 12:00 PM PT Crie um aplicativo com o Azure AI Agent Service - 4/17 06:00 AM PT Seu primeiro agente de IA em JavaScript com o Azure AI Agent Service - Outros Idiomas Teremos mais de 30 transmissões em inglês, além de transmissões em espanhol e chinês. Veja a página principal para mais detalhes. 🕒 Horário de Suporte Técnico Precisa de ajuda com seu projeto? Participe do Horário de Suporte Técnico no canal de Discord de IA e receba orientação de especialistas! 🚀 Aqui estão os horários de atendimento já agendados: Dia/Horário Tópico/Anfitriões Toda quinta-feira, 12:30 PM PT Python + IA (Inglês) Toda segunda-feira, 03:00 PM PT Python + IA (Espanhol) Recursos de Aprendizado 📚 Acesse os recursos aqui! Junte-se ao TheSource EHub para explorar os principais recursos, incluindo treinamentos, transmissões ao vivo, repositórios, guias técnicos, blogs, downloads, certificações e muito mais, atualizados mensalmente. A seção de Agentes de IA oferece recursos essenciais para criar agentes de IA, enquanto outras seções fornecem insights sobre IA, ferramentas de desenvolvimento e linguagens de programação. Você também pode postar perguntas em nosso fórum de discussões ou conversar com outros participantes no canal do Discord.The Startup Stage: Powered by Microsoft for Startups at European AI & Cloud Summit
🚀 The Startup Stage: Powered by Microsoft for Startups Take center stage in the AI and Cloud Startup Program, designed to showcase groundbreaking solutions and foster collaboration between ambitious startups and influential industry leaders. Whether you're looking to engage with potential investors, connect with clients, or share your boldest ideas, this is the platform to shine. Why Join the Startup Stage? Pitch to Top Investors: Present your ideas and products to key decision-makers in the tech world. Gain Visibility: Showcase your startup in a vibrant space dedicated to innovation, and prove that you are the next game-changer. Learn from the Best: Hear from visionary thought leaders and Microsoft AI experts about the latest trends and opportunities in AI and cloud. AI Competition: Propel Your Startup Stand out from the crowd by participating in the European AI & Cloud Startup Stage competition, exclusively designed for startups leveraging Microsoft AI and Azure Cloud services. Compete for prestigious awards, including: $25,000 in Microsoft Azure Credits. A mentoring session with Marco Casalaina, VP of Products at Azure AI. Fast-track access to exclusive resources through the Microsoft for Startups Program. Get ready to deliver a pitch in front of a live audience and an expert panel on 28 May 2025! How to Apply: Ensure your startup solution runs on Microsoft AI and Azure Cloud. Register as a conference and submit your Competiton application form before the deadline: 14 April 2025 at European Cloud and AI Summit. Be Part of Something Bigger This isn’t just an exhibition—it’s a thriving community where innovation meets opportunity. Don’t miss out! With tickets already 70% sold out, now’s the time to secure your spot. Join the European AI and Cloud Startup Area with a booth or launchpad, and accelerate your growth in the tech ecosystem. Visit the [European AI and Cloud Summit](https://ecs.events) website to learn more, purchase tickets, or apply for the AI competition. Download the sponsorship brochure for detailed insights into this once-in-a-lifetime event. Together, let’s shape the future of cloud technology. See you in Düsseldorf! 🎉Microsoft AI Agents Hack April 8-30th 2025
Build, Innovate, and #Hacktogether Learn from 20+ expert-led sessions streamed live on YouTube, covering top frameworks like Semantic Kernel, Autogen, the new Azure AI Agents SDK and the Microsoft 365 Agents SDK. Get hands-on experience, unleash your creativity, and build powerful AI agents—then submit your hack for a chance to win amazing prizes! Key Dates Expert sessions: April 8th 2025 – April 30th 2025 Hack submission deadline: April 30th 2025, 11:59 PM PST Don't miss out — join us and start building the future of AI! Registration Register now! That form will register you for the hackathon. Afterwards, browse through the live stream schedule below and register for the sessions you're interested in. Once you're registered, introduce yourself and look for teammates! Project Submission Once your hack is ready, follow the submission process. Prizes and Categories Projects will be evaluated by a panel of judges, including Microsoft engineers, product managers, and developer advocates. Judging criteria will include innovation, impact, technical usability, and alignment with corresponding hackathon category. Each winning team in the categories below will receive a prize. Best Overall Agent - $20,000 Best Agent in Python - $5,000 Best Agent in C# - $5,000 Best Agent in Java - $5,000 Best Agent in JavaScript/TypeScript - $5,000 Best Copilot Agent (using Microsoft Copilot Studio or Microsoft 365 Agents SDK) - $5,000 Best Azure AI Agent Service Usage - $5,000 Each team can only win in one category. All participants who submit a project will receive a digital badge. Stream Schedule The series starts with a kick-off for all developers, and then dives into specific tracks for Python, Java, C#, and JavaScript developers. The Copilots track will focus on building intelligent copilots with Microsoft 365 and Copilot Studio. English Week 1: April 8th-11th Day/Time Topic Track 4/8 09:00 AM PT AI Agents Hackathon Kickoff All 4/9 09:00 AM PT Build your code-first app with Azure AI Agent Service Python 4/9 12:00 PM PT AI Agents for Java using Azure AI Foundry Java 4/9 03:00 PM PT Build your code-first app with Azure AI Agent Service Python 4/10 04:00 AM PT Building Secure and Intelligent Copilots with Microsoft 365 Copilots 4/10 09:00 AM PT Overview of Microsoft 365 Copilot Extensibility Copilots 4/10 12:00 PM PT Transforming business processes with multi-agent AI using Semantic Kernel Python 4/10 03:00 PM PT Build your code-first app with Azure AI Agent Service (.NET) C# Week 2: April 14th-18th Day/Time Topic Track 4/15 07:00 AM PT Your first AI Agent in JS with Azure AI Agent Service JS 4/15 09:00 AM PT Building Agentic Applications with AutoGen v0.4 Python 4/15 12:00 PM PT AI Agents + .NET Aspire C# 4/15 03:00 PM PT Prototyping AI Agents with GitHub Models Python 4/16 04:00 AM PT Multi-agent AI apps with Semantic Kernel and Azure Cosmos DB C# 4/16 06:00 AM PT Building declarative agents with Microsoft Copilot Studio & Teams Toolkit Copilots 4/16 09:00 AM PT Building agents with an army of models from the Azure AI model catalog Python 4/16 12:00 PM PT Multi-Agent API with LangGraph and Azure Cosmos DB Python 4/16 03:00 PM PT Mastering Agentic RAG Python 4/17 06:00 AM PT Build your own agent with OpenAI, .NET, and Copilot Studio C# 4/17 09:00 AM PT Building smarter Python AI agents with code interpreters Python 4/17 12:00 PM PT Building Java AI Agents using LangChain4j and Dynamic Sessions Java 4/17 03:00 PM PT Agentic Voice Mode Unplugged Python Week 3: April 21st-25th Day/Time Topic Track 4/21 12:00 PM PT Knowledge-augmented agents with LlamaIndex.TS JS 4/22 06:00 AM PT Building a AI Agent with Prompty and Azure AI Foundry Python 4/22 09:00 AM PT Real-time Multi-Agent LLM solutions with SignalR, gRPC, and HTTP based on Semantic Kernel Python 4/22 10:30 AM PT Learn Live: Fundamentals of AI agents on Azure - 4/22 12:00 PM PT Demystifying Agents: Building an AI Agent from Scratch on Your Own Data using Azure SQL C# 4/22 03:00 PM PT VoiceRAG: talk to your data Python 4/14 06:00 AM PT Prompting is the New Scripting: Meet GenAIScript JS 4/23 09:00 AM PT Building Multi-Agent Apps on top of Azure PostgreSQL Python 4/23 12:00 PM PT Agentic RAG with reflection Python 4/23 03:00 PM PT Multi-source data patterns for modern RAG apps C# 4/24 09:00 AM PT Extending AI Agents with Azure Functions Python, C# 4/24 12:00 PM PT Build real time voice agents with Azure Communication Services Python 4/24 03:00 PM PT Bringing robots to life: Real-time interactive experiences with Azure OpenAI GPT-4o Python Week 4: April 28th-30th Day/Time Topic Track 4/29, 01:00 PM UTC / 06:00 AM PT Irresponsible AI Agents Java 4/29, 04:00 PM UTC / 09:00 AM PT Securing AI agents on Azure Python Spanish / Español See all our Spanish sessions on the Spanish landing page. Consulta todas nuestras sesiones en español en la página de inicio en español. Portuguese / Português See our Portuguese sessions on the Portuguese landing page. Veja nossas sessões em português na página de entrada em português. Chinese / 简体字 See our Chinese sessions on the Chinese landing page. 请查看我们的中文课程在中文登录页面. Office Hours For additional help with your hacks, you can drop by Office Hours in our AI Discord channel. Here are the Office Hours scheduled so far: Day/Time Topic/Hosts Every Thursday, 12:30 PM PT Python + AI (English) Every Monday, 03:00 PM PT Python + AI (Spanish) Learning Resources Access resources here! Join TheSource EHub to explore top picks including trainings, livestreams, repositories, technical guides, blogs, downloads, certifications, and more, all updated monthly. The AI Agent section offers essential resources for creating AI Agents, while other sections provide insights into AI, development tools, and programming languages. You can also post questions in our discussions forum, or chat with attendees in the Discord channel.
Looking for Powershell approach to deploying a Visual Studio web package zip file
We have been using ADO to deploy web package zip files to IIS sites. Now looking at some work in Harness and need a Powershell approach to deploying these same zip files. the deploy approach has to be familiar with the package structure of Visual Studio when its builds with /p:WebPublishMethod=Package. the zip file has quite a few levels of folder structure starting with Content\ folder systeminfo.xml parameters.xml archive.xml Are there any powershell commands that will deploy these types of web packages?Announcing the Powerful Devs Conference + Hack Together 2025
Discover the potential of Microsoft Power Platform at this global event starting Feb 12, 2025! Learn from experts, explore tools like Power Apps, AI Builder, and Copilot Studio, and create innovative solutions during the two-week hackathon. Prizes await the best projects across 8 categories. 🌟 Build. Innovate. Hack Together. 👉 Register now: aka.ms/powerfuldevs Your future in enterprise app development starts here!GitHub Copilot Global Bootcamp
GitHub Copilot Bootcamp is a series of four live classes designed to teach you tips and best practices for using GitHub Copilot. Discover how to create quick solutions, automate repetitive tasks, and collaborate effectively on projects. REGISTER NOW! Why participate? GitHub Copilot is not just a code suggestion tool, but a programming partner that understands your needs and accelerates your work. By participating in the bootcamp, you will have the opportunity to: Master the creation of effective prompts. Learn to develop web applications using AI. Discover how to automate tests and generate documentation. Explore collaboration practices and automated deployment. Learn in your local language We will also have editions in other languages besides English: Spanish: https://aka.ms/GitHubCopilotBootcampLATAM Brazilian Portuguese: https://aka.ms/GitHubCopilotBootcampBrasil Chinese: https://aka.ms/GitHubCopilotBootcampChina Agenda The English sessions are scheduled for 12pm PST, 3pm ET, 2pm CT, and 1pm MT. 📅 February 4, 2025 Prompt Engineering with GitHub Copilot Learn how GitHub Copilot works and master responsible AI to boost your productivity. 📅 February 6, 2025 Building an AI Web Application with Python and Flask Create amazing projects with AI integration and explore using GitHub Copilot to simplify tasks. 📅 February 11, 2025 Productivity with GitHub Copilot: Docs and Unit Tests Automate documentation and efficiently develop tests by applying concepts directly to real-world projects. 📅 February 13, 2025 Collaboration and Deploy with GitHub Copilot Learn to create GitHub Actions, manage pull requests, and use GitHub Copilot for Azure for deployment. Who can participate? If you are a developer, student, or technology enthusiast, this bootcamp is for you. The classes are designed to cater to both beginners and experienced professionals. Secure your spot now and start your journey to mastering GitHub Copilot! 👉 REGISTER NOW!Bootcamp GitHub Copilot LATAM – gratuito y en español
GitHub Copilot Bootcamp LATAM es una serie de cuatro clases en vivo en español que enseñan consejos y prácticas recomendadas para usar GitHub Copilot. Aprende a crear soluciones rápidas, automatizar tareas repetitivas y colaborar eficazmente en proyectos. ¡REGÍSTRATE AHORA! ¿Por qué participar? GitHub Copilot no es solo una herramienta de sugerencia de código, sino un socio de programación que entiende tus necesidades y acelera tu trabajo. Al participar en el bootcamp, tendrás la oportunidad de: Dominar la creación de indicaciones efectivas. Aprender a desarrollar aplicaciones web utilizando IA. Descubrir cómo automatizar pruebas y generar documentación. Explorar las prácticas de colaboración y la implementación automatizada. Cronograma de clases Las sesiones serán a las 7pm CDMX, 5pm PT, 8pm ET y 2am CET (amigos en España, todas las sesiones se grabarán). 📅 4 de febrero de 2025 Ingeniería de avisos con GitHub Copilot Aprende cómo funciona Copilot y domina la IA responsable para aumentar tu productividad. 📅 6 de febrero de 2025 Construyendo una Aplicación Web de IA con Python y Flask Crea proyectos increíbles con la integración de IA y explora el uso de Copilot para simplificar las tareas. 📅 11 de febrero de 2025 Crea Pruebas Unitarias y Documentación con GitHub Copilot Automatice la documentación y desarrolle pruebas de manera eficiente aplicando conceptos directamente a proyectos del mundo real. 📅 13 de febrero de 2025 Colaboración e implementación con GitHub Copilot Aprenda a crear GitHub Actions, administrar solicitudes de incorporación de cambios y usar Copilot para Azure para la implementación. ¿Quién puede participar? Si eres desarrollador, estudiante o entusiasta de la tecnología, este bootcamp es para ti. Las clases están diseñadas para atender tanto a principiantes como a profesionales experimentados. ¿Cómo aplicar? ¡Asegura tu lugar ahora y comienza tu viaje para dominar GitHub Copilot! 👉 ¡REGÍSTRATE AHORA!
