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A ChatGPT-like chat app built with modern SAP technologies (CAP, SAPUI5) – Part 1/3A ChatGPT-like chat app built with modern SAP technologies (CAP, SAPUI5) – Part 1/3The concepts before the code: what the GPT model and its API actually offer, and what the finished chat application looks like — personalities included. Written in the weeks when the ground was moving under it, and the post carries its own change log to prove it: GPT-3.5 added on 1 March, GPT-4 on 15 March, and an admission that a series planned as two posts became three.published 2023-02-22
A ChatGPT-like chat app built with modern SAP technologies (CAP, SAPUI5) – Part 1/3
cap-ui5-gpt-chat: no published releases, repository quiet for 41 months. Affects Runnable code.
A ChatGPT-like chat app built with modern SAP technologies (CAP, SAPUI5) – Part 2/3A ChatGPT-like chat app built with modern SAP technologies (CAP, SAPUI5) – Part 2/3The backend: CAP with TypeScript, the entities holding chats and personalities, and the service that talks to the API. This is where the streamed completion and the repositories behind the handler come from, which is the part of the sample still worth lifting even though the model access has since been superseded by AI Core.published 2023-02-24
A ChatGPT-like chat app built with modern SAP technologies (CAP, SAPUI5) – Part 2/3
cap-ui5-gpt-chat: no published releases, repository quiet for 41 months. Affects Runnable code.
A ChatGPT-like chat app built with modern SAP technologies (CAP, SAPUI5) – Part 3/3A ChatGPT-like chat app built with modern SAP technologies (CAP, SAPUI5) – Part 3/3The SAPUI5 frontend of the sample, and mostly an argument for writing UI5 in TypeScript: ES imports in place of sap.ui.define, a class with real private members in place of the underscore convention, and the service types generated from the CDS model copied into the UI package, so one IChats interface types the OData object the controller reads. The second half is structure — a formatter class and a singleton LayoutManager called from the XML view through core:require, a confirmation helper taking a callback, a dialog class resolving a promise, a generic createEntity<T> on a service class — all of it to keep every controller under 100 lines. What it says about arranging a UI5 app holds whatever model sits behind the chat; the tooling around it is of its date, and the post calls UI5's TypeScript support experimental.published 2023-02-27
A ChatGPT-like chat app built with modern SAP technologies (CAP, SAPUI5) – Part 3/3
cds2types. Affects Runnable code.
Access to Generative AI ModelsAccess to Generative AI ModelsSets out the plain way to call a deployed generative AI model on SAP BTP: a request that carries the prompt, the model and the parameters that control generation, with the same code able to switch between models. It lists data masking, prompt templating and filtering as features that come with the access rather than as code the caller writes, which is the shape LLM integration takes on the BTP door; the page's implementation sections sit behind its steps and were not read.
Agentic CAP: Build MCP servers and enterprise AI agentsAgentic CAP: Build MCP servers and enterprise AI agentsCAP applications become AI agents over the Model Context Protocol and the Agent2Agent protocol, which is the serve your application over MCP concern, and SAP AI Core is the LLM integration through which AI is embedded in a CAP app, with recommendations from the SAP-RPT-1 model as the abstract's example. The abstract names the two protocols and the one model and does not say which packages carry them. A two-hour TechEd 2026 session in a hands-on room (Tuesday 27 October, Berlin), presented by Daniel Hutzel, Daniel Schlachter, Marc Huber and Sami Lechner, written here from SAP's abstract; the recording is not yet published.
Agentic memory: Knowledge graph engine and recall in SAP HANA CloudAgentic memory: Knowledge graph engine and recall in SAP HANA CloudThe knowledge graph engine in SAP HANA Cloud as an agent's memory: what the engine, the graph side of graph, spatial and document data, does in an agentic workflow, how an agent keeps what it learns there, the state agent tooling holds between turns, and the SAP AI Core integration through which the database calls LLMs and tabular foundation models such as SAP-RPT-1. The abstract names the engine, the memory role and the AI Core link and does not say how the memory is written or read. DA263 on Wednesday 28 October is a two-hour hands-on on the same engine with a different cast. A TechEd 2026 session (Tuesday 27 October, Berlin), presented by Markus Fath and Shraddha Shetty, written here from SAP's abstract; the recording is not yet published.
AI-enabled administration: Automating log analysis with generative AI hubAI-enabled administration: Automating log analysis with generative AI hubA log analysis tool for incident work, built in SAP Business Application Studio with the generative AI hub feature, which SAP AI Core ships as its LLM integration by its own documentation: it automates root-cause analysis over system errors and masks sensitive data. SAP's abstract states the tool's jobs and not how the hub is called, what the masking covers or which model answers. A TechEd 2026 session (Wednesday 28 October, Berlin), with no speaker listed in the catalogue at the time of writing, written here from SAP's abstract; the recording is not yet published.
An Innovative Language Exchange App developed with SAP Build Apps, CAP, Kyma, and OpenAIAn Innovative Language Exchange App developed with SAP Build Apps, CAP, Kyma, and OpenAIA dormant internal app at SAP Japan revived with AI, built to solve a problem the team actually had — colleagues who could not talk to each other. Build Apps on the front, CAP on Kyma behind it, OpenAI in the middle.javieryw, published 2024-01-31
An Innovative Language Exchange App developed with SAP Build Apps, CAP, Kyma, and OpenAI
LLM integration changed in @cap-js/ai 1.0.0, 2026-04-28. Affects Runnable code.
Automate your Job Postings Using Generative AI (ChatGPT) & SAP Build Process Automation AppsAutomate your Job Postings Using Generative AI (ChatGPT) & SAP Build Process Automation AppsA process that drafts its own text: ChatGPT writing job postings, SAP Build Process Automation carrying them through approval, and CAP in between. Presented as a generic pattern the author expects to be adapted rather than copied.shivamshukla12, published 2023-08-10
Banking Sentinel: A Multi-Agent Credit-Risk Copilot on SAP BTP, Built on a Mixed AI StackBanking Sentinel: A Multi-Agent Credit-Risk Copilot on SAP BTP, Built on a Mixed AI StackThe risk it is chasing is a graph problem stated in banking terms: a borrower who looks safe alone and is the linchpin of a group ten times the size. Multi-agent, mixed AI stack, on BTP and CAP.Shahid, published 2026-06-24
Banking Sentinel: A Multi-Agent Credit-Risk Copilot on SAP BTP, Built on a Mixed AI Stack
Agent tooling changed in @cap-js/agents 0.9.1, 2026-08-14. Affects A recipe, Runnable code.
Behind the Autonomous Enterprise: SAP Knowledge Graph and SAP Domain ModelsBehind the Autonomous Enterprise: SAP Knowledge Graph and SAP Domain ModelsThe strategy behind SAP Business AI's intelligence layer: SAP Knowledge Graph for enterprise context, SAP Domain Models for SAP-specific expertise and tabular AI for predictions, unified on SAP AI Core with SAP Document AI. Knowledge Graph and Domain Models are not atlas entries, so the edges rest on the two products the abstract names as the infrastructure and on Predictive models for the tabular AI; nothing is stated about what any of them does in the layer. A TechEd 2026 session (Tuesday 27 October, Berlin; also ST103V, virtual), presented by Jan Portisch and Richard Grandpierre, written here from SAP's abstract; the recording is not yet published.
Build AI agents and applications natively on SAP HANA CloudBuild AI agents and applications natively on SAP HANA CloudSAP HANA Cloud as the base for agentic applications on SAP Business AI Platform: the session goes through CAP, the SAP HANA Cloud vector engine and SAP AI Core, with architecture patterns and lessons learned from building AI-supported applications. SAP's abstract names the three parts of that stack and the vector engine as the database's feature in it, and describes none of the patterns. A TechEd 2026 session (Wednesday 28 October, Berlin; also DA113V, virtual), presented by Christoph Morgen and Shraddha Shetty, written here from SAP's abstract; the recording is not yet published.
Build business differentiation with SAP AI CoreBuild business differentiation with SAP AI CoreSAP AI Core as the orchestration layer for enterprise AI, worked through with SAP's engineers: extend Joule Agents with models from its library, ground them in SAP Business Data Cloud products, embed them in SAP S/4HANA flows, then govern, scale and monitor them from prototype to production. The abstract says what the layer does for an agent and not which services carry each step. A TechEd 2026 session (Tuesday 27 October, Berlin), presented by David Knaack, Franziska Dobrigkeit, Hadi Hares and Jonas Israel, written here from SAP's abstract; the recording is not yet published.
Building agentic applications with SAP HANA CloudBuilding agentic applications with SAP HANA CloudA CAP application extended with semantic search and agent features on top of SAP HANA Cloud's vector engine and SAP AI Core, built in a hands-on workshop. The abstract names the parts, CAP, the vector engine and AI Core, and the two additions: semantic search, the retrieval half of retrieval-augmented generation, and LLM-supported agent capabilities inside the application, which is agent tooling. Which embedding model, which CAP runtime and how the agent calls its tools are not stated. A TechEd 2026 session (Thursday 29 October, Berlin), presented by Hui Li, Ritty Joseph, Shraddha Shetty and Tanuja Jadhav, written here from SAP's abstract; the recording is not yet published.
Building an LLM Agent in CAP Java with Spring AIBuilding an LLM Agent in CAP Java with Spring AIThe Java counterpart to the author's own Node.js post, and written as one: connecting to AI Core with the SAP AI SDK, then calling an agent and a tool through Spring AI. Opens with a section on libraries and workflows — which framework does what, and what is left to you — before any code.published 2026-06-08
Building an LLM Agent in CAP Java with Spring AI
Agent tooling changed in @cap-js/agents 0.9.1, 2026-08-14. Affects Runnable code.
Building an LLM Agent using CAPBuilding an LLM Agent using CAPThe argument is that CAP is already most of what an agent framework wants — services, handlers, a typed model — so the agent is built inside it rather than beside it. AI Core through sap-ai-sdk, then Langchain for the agent and its tools. Long, with a TLDR at the top for people who want the shape without the walk.published 2026-05-27
Building an LLM Agent using CAP
Agent tooling changed in @cap-js/agents 0.9.1, 2026-08-14. Affects Runnable code.
cds-toon-ai-protocol-adapter: a pragmatic way to cut AI token costs using SAP CAPcds-toon-ai-protocol-adapter: a pragmatic way to cut AI token costs using SAP CAPNames a cost most CAP-plus-LLM writing ignores: every JSON payload streamed to a model is billed by its verbosity, in latency as well as money. The plugin brings TOON — Token-Oriented Object Notation — to a CAP service so the wire format changes without the service code doing so, in a REST variant and an OData one, with token counts reported on both sides.published 2026-01-25
Content FilteringContent FilteringContent filtering screens a large language model's input and output for low-quality, irrelevant or unsafe content: the four categories it names being hateful, violent, sexual and vulgar content, checking a request once on the way in and once on the way back. The page states smaller models can do this filtering efficiently, reading perplexity scores to flag anomalies, with the aim that SAP AI Core produces content meeting a stated safety standard, which is the ground content filtering covers on the BTP door.
Creating a meal generator application with SAP Build, Cloud Application Programming and openAICreating a meal generator application with SAP Build, Cloud Application Programming and openAIIngredients in, meal suggestions out, assembled from BTP services plus OpenAI and Google APIs. A small application built for the pleasure of it, and useful here as the plainest example of CAP holding the middle of a generative flow.former_member793421, published 2023-07-17
Data MaskingData MaskingData masking replaces identifiable or confidential text in a prompt with placeholders such as <Person_0> or <Organization_1> before it reaches a large language model, using pattern matching and machine learning to find what to replace. The page states SAP AI Core supports it as a feature and sets out five steps for applying it, defining the masking scope, choosing a technique, preserving the prompt's intent, checking compliance and risk, then testing and monitoring the result. That is the shape data masking takes on the BTP door.
Document GroundingDocument GroundingDocument Grounding is a managed retrieval-augmented-generation service under the Generative AI Hub on BTP, which SAP's page on SAP AI Core places inside that service: it ingests documents from Amazon S3, SharePoint, SAP Document Management Service, SAP Work Zone or an SFTP server, and handles chunking, embedding and retrieval itself, refreshing content automatically when a source document changes. The page states this managed path is recommended for most enterprise scenarios because it covers the whole lifecycle end to end, and offers a separate Document Grounding Vector API for data that is already chunked and embedded, for cases that need finer control over chunking and metadata.
Elevating Data Privacy in SAP CAP based GenAI Applications with CAP LLM PluginElevating Data Privacy in SAP CAP based GenAI Applications with CAP LLM PluginThe question underneath the enthusiasm: what leaves your landscape when a prompt goes to a model. The plugin's answer is to anonymise the sensitive fields through HANA before the prompt is sent, and this is the post that explains why that is the design rather than an option.AkashAmarendra, published 2024-02-02
Empowering Your Data Analytics with GPT-3 and SAP CAP IntegrationEmpowering Your Data Analytics with GPT-3 and SAP CAP IntegrationFree text in, SQL out, answer back in a sentence — the model writes the query, CAP runs it, and the model turns the rows into prose. Written in the GPT-3 window, so the model access has dated, but the three-step shape has not, and it is a different bet from retrieval: nothing is embedded, the schema is the context.Former Member, published 2023-03-10
Enhancing Enterprise Applications: AI-powered User Experience with SAP CAP AI PluginEnhancing Enterprise Applications: AI-powered User Experience with SAP CAP AI PluginStarts from the blank form nobody wants to fill in, and asks what an enterprise application should do about it. The AI is in service of that rather than the subject of it.published 2026-04-29
Enriching AI models with SAP AI Core in SAP Business Data CloudEnriching AI models with SAP AI Core in SAP Business Data CloudThe integration between SAP Business Data Cloud and SAP AI Core, through which data products with their semantics feed AI models for benchmarking, custom AI development and agentic analytics and applications. The abstract names the two products and the three uses and states nothing about how the data reaches AI Core or what the integration consists of. A TechEd 2026 session (Tuesday 27 October, Berlin), presented by San Tran and Sandy Tran, written here from SAP's abstract; the recording is not yet published.
GenAI Mail Insights - Leveraging the generative AI hub in SAP AI Core to improve customer supportGenAI Mail Insights - Leveraging the generative AI hub in SAP AI Core to improve customer supportA sample application rather than an explainer, and the author says so in the opening — enough talking, here is something that runs. Incoming support mail summarised and categorised through the generative AI hub in AI Core.martinfrick, published 2023-11-15
Generative AI on SAP BTPGenerative AI on SAP BTPThe reference shape for a generative AI application on BTP: a CAP backend, SAP HANA Cloud holding data and embeddings for similarity search through its vector engine, and the Generative AI Hub in SAP AI Core as the single access point to foundation models. It shows retrieval-augmented generation on that stack and names the CAP plugins and SDKs that connect the pieces, for both Cloud Foundry and Kyma.published 2025-09-02
Generative AI on SAP BTP
LLM integration changed in @cap-js/ai 1.0.0, 2026-04-28. Affects A reference.
HANA Cloud’s VECTOR EMBEDDING in CAP and Comparison with OpenAI EmbeddingHANA Cloud’s VECTOR EMBEDDING in CAP and Comparison with OpenAI EmbeddingTwo ways to produce the same embedding, run side by side: HANA Cloud's own VECTOR_EMBEDDING function against Azure OpenAI through the CAP LLM plugin. The CDS side is short — an element of type cds.Vector maps to REAL_VECTOR on deploy — so what remains is the comparison, which is the thing you cannot get from either product's documentation alone.lalitmohan, published 2025-04-09
How to Reduce Prompt Token Costs Using Toon = Save MoneyHow to Reduce Prompt Token Costs Using Toon = Save MoneyToken spend treated as a running cost rather than a detail, and TOON as the lever. Companion reading to the CAP adapter for the same format that is indexed here.Yogananda, published 2025-11-12
How to Reduce Prompt Token Costs Using Toon = Save Money
LLM integration changed in @cap-js/ai 1.0.0, 2026-04-28. Affects A recipe, Runnable code.
Integrating a Custom AI Model into SAP CAP Using AI LaunchpadIntegrating a Custom AI Model into SAP CAP Using AI LaunchpadYour own model rather than a hosted one: deployed to AI Core, made callable through AI Launchpad, then reached from CAP. The case a lot of companies ask about and few posts cover.egeAksoyek, published 2026-03-20
Integrating a Custom AI Model into SAP CAP Using AI Launchpad
LLM integration changed in @cap-js/ai 1.0.0, 2026-04-28. Affects Runnable code.
Joule and SAP Knowledge Graph: Context-aware AI across SAP solutionsJoule and SAP Knowledge Graph: Context-aware AI across SAP solutionsThe catalogue carries RA107's abstract under this title, and what it describes is SAP AI Core as the management and orchestration layer of an AI architecture: extending Joule Agents in SAP Joule, the model library in Joule Studio for contextual reasoning, connecting data products from SAP Business Data Cloud, and embedding AI in SAP S/4HANA. The SAP Knowledge Graph the title names does not appear in that text, so the edges rest on the abstract as published, and whether the session follows the title or the abstract is not known until it is recorded. A TechEd 2026 session (Wednesday 28 October, Berlin; also RA110V, virtual), presented by Jan Portisch and Pavithra G K, written here from SAP's abstract; the recording is not yet published.
Knowledge graph and agent memory: Build an agent that remembersKnowledge graph and agent memory: Build an agent that remembersThe knowledge graph engine in SAP HANA Cloud as an agent's memory: what the engine, the graph side of graph, spatial and document data, does in an agentic workflow, how an agent keeps what it learns there, the state agent tooling holds between turns, and the SAP AI Core integration through which the database calls LLMs and tabular foundation models such as SAP-RPT-1. The abstract names the engine, the memory role and the AI Core link and does not say how the memory is written or read. DA205 on Tuesday 27 October is the 45-minute talk on the same engine, with a near-identical abstract and a different cast. A two-hour hands-on TechEd 2026 session (Wednesday 28 October, Berlin), presented by Christoph Morgen, Jan Zwickel, Markus Fath and Thomas Hammer, written here from SAP's abstract; the recording is not yet published.
Lets Talk to the Database - CAP & SQLite Powered by Google Gemini-2.5-ProLets Talk to the Database - CAP & SQLite Powered by Google Gemini-2.5-ProNatural language against a CAP service on SQLite, with a non-SAP model doing the translation. Written as a learning exercise rather than a pattern, and the choice of Gemini over anything in the AI hub is the interesting part of it.ShivamShuklaSAP, published 2025-04-16
Michael Jackson: AI Cognitive Pipeline on SAP BTP, SAP CAP, ElevenLabs, Claude, HANA DB, SolaceMichael Jackson: AI Cognitive Pipeline on SAP BTP, SAP CAP, ElevenLabs, Claude, HANA DB, SolaceA pipeline that listens to a song, identifies the historical events it references, retrieves knowledge about each and builds an emotional arc across the whole track. Not an enterprise use case, and useful precisely for that: the plumbing — CAP, HANA, Solace, Claude, ElevenLabs — is doing something the vendor demos never ask of it.Shahid, published 2026-05-18
Natural Language Queries for SAP CAP via MCP: The LLM Translates, CDS ExecutesNatural Language Queries for SAP CAP via MCP: The LLM Translates, CDS ExecutesThe division of labour is the argument, and it is in the subtitle: the model turns English into a CDS query and CDS runs it, so nothing generates SQL and nothing hallucinates a join. Schema annotations do the resolving. Long, with the package, the repository and the MCP registry entry all linked.Shahid, published 2026-06-25
Prompt TemplatingPrompt TemplatingPrompt templating replaces a static prompt with a structured, reusable template whose placeholders are filled in at runtime, which the page says helps LLM responses stay consistent and lets the same instructions be adapted across tasks. On SAP AI Core this is implemented through the Prompt Registry, and the page states that storing prompts as plain strings in code is possible but not recommended. That is prompt management as a stored and managed object rather than a string embedded in the caller.
Prompt-Driven Development: Building Full-Stack SAP CAP Apps from User StoriesPrompt-Driven Development: Building Full-Stack SAP CAP Apps from User StoriesA user story in, a scaffolded full-stack CAP application out, through SAP Build Code and Joule. The question it is actually asking is how much of the foundational code is worth generating, and it answers by generating all of it.AnuradhaDhingan, published 2025-12-11
RAG with SAP HANA Cloud Vector Engine, GenAI Hub & CAPRAG with SAP HANA Cloud Vector Engine, GenAI Hub & CAPThe end-to-end version: a CAP service exposing the vector engine and the AI hub behind a couple of endpoints, answering where a CodeJam is on a given date. It has aged in a way the author has marked in the page itself — the section on the CAP LLM plugin now carries "(Outdated)" in its own heading — so read the embedding preparation and the retrieval shape, and check the plugin part against the package.KevinR, published 2024-05-21
SAP AI Core deep dive: Models, agents, and business context at scaleSAP AI Core deep dive: Models, agents, and business context at scaleSAP AI Core read as the management and orchestration layer of an AI architecture, beyond the model runtime: SAP's abstract lists extending Joule Agents, the model library in Joule Studio for contextual reasoning, connecting data products from SAP Business Data Cloud, and embedding AI in SAP S/4HANA. It names the connections and not the APIs behind them. A TechEd 2026 session (Tuesday 27 October, Berlin; also RA107V, virtual), presented by Franziska Dobrigkeit and Hadi Hares, written here from SAP's abstract; the recording is not yet published.
SAP Joule for Consultants: Unified knowledge for requirements and designsSAP Joule for Consultants: Unified knowledge for requirements and designsFit-to-standard analysis as a consultant on a cloud transformation project: connecting an organisation's data to SAP Joule for Consultants through SAP AI Core, getting answers from SAP knowledge and that content, then building an expert, loading project files and running guided prompts. The edges are to SAP Joule, of which Joule for Consultants is a part, and to SAP AI Core, named as the connection path; how the data is grounded is left to the session. A TechEd 2026 hands-on session (Wednesday 28 October, Berlin), presented by Anantharaman Ravi, Natalie Han, Sachin Kaura and Yi Hsuan Lin, written here from SAP's abstract; the recording is not yet published.
SAP-RPT and TabPFN: Get started with tabular foundation modelsSAP-RPT and TabPFN: Get started with tabular foundation modelsTabular foundation models, SAP-RPT and TabPFN, in a hands-on with SAP and Prior Labs: the model families first, then predictions run through SAP AI Core with a workflow built on tabular orchestration and connected to the participant's own data for real-time predictions. A predictive models session with the models as the subject; the abstract does not name the SDK or API the workflow is built with. A TechEd 2026 hands-on session (Thursday 29 October, Berlin), presented by Eliott Kalfon, Janick Zaehringer-Frasch, Johannes Hoehne, Katharina Schell, Nilay Mehta and Sherene Tan, written here from SAP's abstract; no recording is announced.
Ship your own sandboxed AI operations agent to Kyma in two hoursShip your own sandboxed AI operations agent to Kyma in two hoursAn operations agent built and then broken on purpose: the abstract has participants deploy a reasoning agent to SAP BTP, Kyma runtime, connect it to SAP AI Core, give it observability over the runtime and cause a failure for it to diagnose, the operations automation concern with an agent doing the diagnosis. Patterns for cost control and monitoring are promised at the end; the agent framework and how the sandbox is drawn are not named. A TechEd 2026 session (Tuesday 27 October, Berlin, two hours), presented by Christian Lechner, Piotr Tesny, Thorsten Sandfuchs and Vipin VijayKumar, written here from SAP's abstract; the recording is not yet published.
Stop guessing, start counting: How generative AI fixed an inventory messStop guessing, start counting: How generative AI fixed an inventory messAn inventory-counting application a business built on SAP Business AI Platform with SAP HANA Cloud and generative AI, to replace recount lists kept by gut feel across SAP ERP Central Component, SAP S/4HANA and Microsoft Excel; the talk promises the app, its architecture and what went wrong. The generative AI part is LLM integration from application code; the abstract names HANA Cloud and generative AI as the two building blocks and says nothing about how either is used. A TechEd 2026 session (Thursday 29 October, Berlin), presented by Ranjeet Kumar, written here from SAP's abstract; the recording is not yet published.
Streaming LLM Output with CAP and WebSocketsStreaming LLM Output with CAP and WebSocketsTokens arriving from the AI SDK's orchestration module, forwarded to the browser as they come rather than after the model finishes. Covers all four pieces — enabling WebSocket support in CAP, a service with actions and events, the streaming itself, and a frontend on the native WebSocket API — which is what makes it the clearest case for why a CAP service would want a socket at all.RobinP, published 2025-11-18
Streaming LLM Output with CAP and WebSockets
LLM integration changed in @cap-js/ai 1.0.0, 2026-04-28. Affects A recipe, Runnable code.
UI5 AI Features library is now an npm PackageUI5 AI Features library is now an npm PackageThe release note for a demo turning into a dependency, and it is explicit about why that matters: the earlier version worked, but using it meant cloning the repo and copying both halves, which stops working the moment one of them changes. The post walks through what shipping the CAP plugin and the be.wl.ai control library in one npm version buys — a client and server contract that cannot drift — then lists the eleven controls by group, shows the two-line configuration that activates each half, and notes that this version is actually deployed on BTP behind both a standalone approuter and Work Zone. It closes on the demo repository, written with no library source in it as the test that the package stands alone.published 2026-08-31
UI5 AI Features library is now an npm Package
cds 8, line ended. Affects Runnable code.
Behind the Autonomous Enterprise: SAP Knowledge Graph and SAP Domain ModelsBehind the Autonomous Enterprise: SAP Knowledge Graph and SAP Domain ModelsThe strategy behind SAP Business AI's intelligence layer: SAP Knowledge Graph for enterprise context, SAP Domain Models for SAP-specific expertise and tabular AI for predictions, unified on SAP AI Core with SAP Document AI. Knowledge Graph and Domain Models are not atlas entries, so the edges rest on the two products the abstract names as the infrastructure and on Predictive models for the tabular AI; nothing is stated about what any of them does in the layer. A TechEd 2026 session (Tuesday 27 October, Berlin; also ST103V, virtual), presented by Jan Portisch and Richard Grandpierre, written here from SAP's abstract; the recording is not yet published.
Federated Machine Learning with SAP DatasphereFederated Machine Learning with SAP DatasphereSAP's design for training predictive models on an external machine learning platform against SAP Datasphere data that is not replicated to that platform. The open-source FedML Python library runs in the platform's notebook, connects to Datasphere over Python/SQLDBC and reads the analytic models in which Datasphere unifies SAP and non-SAP sources; a trained model can then be deployed to SAP AI Core, or in several sub-pages to SAP BTP, Kyma runtime, which is the predictive models path where training happens outside SAP. Sub-pages cover Amazon SageMaker, Azure Machine Learning, Google Vertex AI, Databricks, NVIDIA RAPIDS on GPUs and IBM watsonx.published 2025-01-23
Get hands on with tabular AI and forecasting models in SAP HANA CloudGet hands on with tabular AI and forecasting models in SAP HANA CloudPrediction and forecasting as predictive models inside SAP HANA Cloud, worked through hands-on: tabular AI models such as SAP-RPT-1 for on-the-fly predictions, time series foundation models for ad hoc forecasts, and the AutoML in the predictive analysis library. The abstract names the model kinds and the library and does not say how a model is called from SQL or from an application. A TechEd 2026 session (Wednesday 28 October, Berlin), presented by Christoph Morgen, Markus Fath, Ritty Joseph and Tanuja Jadhav, written here from SAP's abstract; the recording is not yet published.
SAP-RPT and TabPFN: Get started with tabular foundation modelsSAP-RPT and TabPFN: Get started with tabular foundation modelsTabular foundation models, SAP-RPT and TabPFN, in a hands-on with SAP and Prior Labs: the model families first, then predictions run through SAP AI Core with a workflow built on tabular orchestration and connected to the participant's own data for real-time predictions. A predictive models session with the models as the subject; the abstract does not name the SDK or API the workflow is built with. A TechEd 2026 hands-on session (Thursday 29 October, Berlin), presented by Eliott Kalfon, Janick Zaehringer-Frasch, Johannes Hoehne, Katharina Schell, Nilay Mehta and Sherene Tan, written here from SAP's abstract; no recording is announced.
Transforming Enterprise Data Strategy with SAP Business Data CloudTransforming Enterprise Data Strategy with SAP Business Data CloudSAP's layered picture of SAP Business Data Cloud, from lake storage and compute up to a knowledge core and agents, with eight sub-pages that each work one part through. The data products page is the cataloguing and lineage part: datasets described by Open Resource Discovery metadata, listed in the BDC catalog and shared over Delta Sharing to SAP Databricks and SAP HANA Cloud, with SAP Datasphere as a consumer on the intelligent content page; other pages install intelligent content, bring SAP BW data in through the Data Product Generator, provision groups by SCIM from Cloud Identity Services into SAP Databricks, which is identity provisioning, and train predictive models in SAP Databricks that SAP AI Core then serves for batch and real-time scoring. The main page states direction more than mechanism, and the BW page marks SQL Share for derived and OData for analytical data products as to be available.published 2026-05-12
Unlock predictive and generative AI with your data in SAP HANA CloudUnlock predictive and generative AI with your data in SAP HANA CloudThe AI features SAP lists for SAP HANA Cloud: the function libraries for tabular prediction and forecasting, where predictive models run inside the database, the vector engine, the knowledge graph engine, which is graph, spatial and document data put to generative use, and SQL to LLM calls. The abstract names the engines and the use cases they are meant for and gives no detail of any one of them. A TechEd 2026 session (Tuesday 27 October, Berlin; also DA204V, virtual), presented by Christoph Morgen and Javier Martin, written here from SAP's abstract; the recording is not yet published.
Prompt TemplatingPrompt TemplatingPrompt templating replaces a static prompt with a structured, reusable template whose placeholders are filled in at runtime, which the page says helps LLM responses stay consistent and lets the same instructions be adapted across tasks. On SAP AI Core this is implemented through the Prompt Registry, and the page states that storing prompts as plain strings in code is possible but not recommended. That is prompt management as a stored and managed object rather than a string embedded in the caller.
A Use Case for HANA Cloud Knowledge Graph: AI‑Driven Tender AnalysisA Use Case for HANA Cloud Knowledge Graph: AI‑Driven Tender AnalysisMatching unstructured text against internal data, using both HANA engines at once — the Knowledge Graph for the relationships and the Vector Engine for similarity — with CAP holding the application and its data. Notes that the Knowledge Graph Engine is off by default and has to be enabled when the instance is created, which is the kind of thing that stops a weekend.giacomo_dantonio, published 2026-03-19
Building a Generative AI-powered Inventory Assistant with SAP CAP, RAG, and Vector DatabaseBuilding a Generative AI-powered Inventory Assistant with SAP CAP, RAG, and Vector DatabaseAn existing CAP stock application turned into a question-answering one, and the part worth reading is the schema: three tables, not one — the products, an archive of the text that was embedded, and a separate lookup table holding the vectors. Retrieval finds candidate products by similarity and then reads the real rows, so the answer is grounded in records rather than in the embedded text.furkan5, published 2025-11-07
Building agentic applications with SAP HANA CloudBuilding agentic applications with SAP HANA CloudA CAP application extended with semantic search and agent features on top of SAP HANA Cloud's vector engine and SAP AI Core, built in a hands-on workshop. The abstract names the parts, CAP, the vector engine and AI Core, and the two additions: semantic search, the retrieval half of retrieval-augmented generation, and LLM-supported agent capabilities inside the application, which is agent tooling. Which embedding model, which CAP runtime and how the agent calls its tools are not stated. A TechEd 2026 session (Thursday 29 October, Berlin), presented by Hui Li, Ritty Joseph, Shraddha Shetty and Tanuja Jadhav, written here from SAP's abstract; the recording is not yet published.
Conversational search for the Cloud Integration capabilityConversational search for the Cloud Integration capabilityCloud Integration content becomes searchable in natural language through three architectures SAP's abstract names: MCP servers, retrieval-augmented generation and knowledge graphs, set against the work of analysing and governing a growing SAP Integration Suite tenant. The abstract names the three and does not say which is built or how they compare. A TechEd 2026 session (Tuesday 27 October, Berlin), presented by Vadim Klimov, written here from SAP's abstract; the recording is not yet published.
Document GroundingDocument GroundingDocument Grounding is a managed retrieval-augmented-generation service under the Generative AI Hub on BTP, which SAP's page on SAP AI Core places inside that service: it ingests documents from Amazon S3, SharePoint, SAP Document Management Service, SAP Work Zone or an SFTP server, and handles chunking, embedding and retrieval itself, refreshing content automatically when a source document changes. The page states this managed path is recommended for most enterprise scenarios because it covers the whole lifecycle end to end, and offers a separate Document Grounding Vector API for data that is already chunked and embedded, for cases that need finer control over chunking and metadata.
Generative AI on SAP BTPGenerative AI on SAP BTPThe reference shape for a generative AI application on BTP: a CAP backend, SAP HANA Cloud holding data and embeddings for similarity search through its vector engine, and the Generative AI Hub in SAP AI Core as the single access point to foundation models. It shows retrieval-augmented generation on that stack and names the CAP plugins and SDKs that connect the pieces, for both Cloud Foundry and Kyma.published 2025-09-02
Generative AI on SAP BTP
LLM integration changed in @cap-js/ai 1.0.0, 2026-04-28. Affects A reference.
HANA Cloud’s VECTOR EMBEDDING in CAP and Comparison with OpenAI EmbeddingHANA Cloud’s VECTOR EMBEDDING in CAP and Comparison with OpenAI EmbeddingTwo ways to produce the same embedding, run side by side: HANA Cloud's own VECTOR_EMBEDDING function against Azure OpenAI through the CAP LLM plugin. The CDS side is short — an element of type cds.Vector maps to REAL_VECTOR on deploy — so what remains is the comparison, which is the thing you cannot get from either product's documentation alone.lalitmohan, published 2025-04-09
Michael Jackson: AI Cognitive Pipeline on SAP BTP, SAP CAP, ElevenLabs, Claude, HANA DB, SolaceMichael Jackson: AI Cognitive Pipeline on SAP BTP, SAP CAP, ElevenLabs, Claude, HANA DB, SolaceA pipeline that listens to a song, identifies the historical events it references, retrieves knowledge about each and builds an emotional arc across the whole track. Not an enterprise use case, and useful precisely for that: the plumbing — CAP, HANA, Solace, Claude, ElevenLabs — is doing something the vendor demos never ask of it.Shahid, published 2026-05-18
Multi-modal RAG Proof of Concept: facilitating tech supportMulti-modal RAG Proof of Concept: facilitating tech supportA report on a customer proof of concept rather than an implementation guide — there is no code in it. The reason it is here is the architecture paragraph: CAP holds the backend and the use-case logic, the LLM plugins and the SAP Cloud SDK for AI sit inside it, and gpt-4o is one of two nodes in a small langgraph. It opens with a disclaimer that SAP's own Grounding service is due to gain multi-modal features, which dates the whole thing on purpose.maxlienhardt, published 2025-06-03
RAG with SAP HANA Cloud Vector Engine, GenAI Hub & CAPRAG with SAP HANA Cloud Vector Engine, GenAI Hub & CAPThe end-to-end version: a CAP service exposing the vector engine and the AI hub behind a couple of endpoints, answering where a CodeJam is on a given date. It has aged in a way the author has marked in the page itself — the section on the CAP LLM plugin now carries "(Outdated)" in its own heading — so read the embedding preparation and the retrieval shape, and check the plugin part against the package.KevinR, published 2024-05-21
Semantic search in CAP (Node.js): vector embeddings and cosine similaritySemantic search in CAP (Node.js): vector embeddings and cosine similarityFinding the best semantic match for a prompt inside an entity, using local vector embeddings and cosine similarity — and the finding the author leads with is that it works without a vector database at all. Reported as experiments rather than as a pattern, which is the honest register for it: the interesting claim is how little infrastructure the simple case needs.published 2025-12-09
Using HANA Cloud’s "VECTOR_EMBEDDING" Function in CAPUsing HANA Cloud’s "VECTOR_EMBEDDING" Function in CAPEmbeddings generated inside the database rather than fetched from AI Core or an external model — a Q4 2024 HANA Cloud function, used from CAP. The shift it describes is where the embedding step lives, which changes what has to be deployed and what has to be called.published 2025-03-02
Vector RAG vs Graph RAGVector RAG vs Graph RAGA section introduction rather than the comparison itself: it states that the choice between Vector RAG and Graph RAG depends on the domain and the task, and that Vector RAG is the one to use when the subject area has a clear description and the model must be held to specific data structures and attribute values. The four sub-pages it introduces, two on vector-based and two on graph-based RAG, carry the comparison. It sits on the same retrieval question retrieval-augmented generation answers, without naming CDS, CAP or a store.
A Clearer View of Your SAP Integrations Under the New API PolicyA Clearer View of Your SAP Integrations Under the New API PolicyThe SAP API Policy Evidence Skill assesses one SAP interface or usage pattern at a time against SAP API Policy v.4.2026a, reading evidence from five MCP servers, among them servers for the Business Accelerator Hub and SAP Notes, mcp-sap-docs and a read-only ARC-1, and returns one of four labels with a confidence level, an evidence table, residual risk and questions for SAP. It gives no compliant or not compliant answer on purpose, because SAP's FAQ (Q49) declines to publish a binding decision matrix, and it sends legal, commercial and roadmap questions to SAP and lowers its confidence when a source is not connected. Four sample runs show the method, among them ODP-RFC extraction labelled likely not aligned under SAP Note 3255746 and the same API_SALES_ORDER_SRV assessed differently for an autonomous agent behind a custom gateway and for a Boomi middleware flow; the SAP Notes and Business Accelerator Hub servers read SAP sites through a browser login, which the post says to use at your own risk.published 2026-06-02
ABAP and Agentic AI: The Hidden Problem in Real ProjectsABAP and Agentic AI: The Hidden Problem in Real ProjectsAI in SAP development splits on three questions, how the model gets context, where writing happens and who controls the setup: UI5 and CAP work in local files where git, reviews, tests and pipelines already gate a change, while on-stack ABAP writes land directly in a shared development system. Six patterns follow, framed after a paper by Lars Hvam, from AI in the IDE to off-stack development with abapGit, and the post settles on a hybrid where the agent reads the system over ADT or MCP and writes through a gated git flow. Read access alone is put at maybe 80 percent of the work, and what agent access to your code still lacks is named as tool governance: read-only defaults, package restrictions, blocking free SQL, per-user identity and auditing.published 2026-04-22
Agentic AI & AI AgentsAgentic AI & AI AgentsSAP's target picture for AI agents: Joule as the engagement layer — Joule Work, Joule Assistants, Joule Agents — with custom agents from customers, partners and SAP teams connecting through A2A for agent-to-agent collaboration and MCP for tool connectivity, on the SAP Business AI Platform. It says up front that parts are not generally available yet, in particular bidirectional communication with third-party agents through the Agent Gateway, so it reads as direction with the building blocks named rather than a design to copy today.published 2026-08-27
Agentic AI Security & GovernanceAgentic AI Security & GovernanceNames seven threat categories agentic AI introduces beyond ordinary application security: prompt injection, excessive agency, supply-chain and model-integrity compromise, memory poisoning, improper output handling, resource abuse and agent-to-agent communication poisoning. Its answer is a defence-in-depth structure of security controls, input validation, privilege management, supply-chain checks, memory segmentation, output validation, execution quotas, secure communication, paired with governance and oversight: audit logging, explainability, human-in-the-loop review, fairness assessment and continuous monitoring. States the reason plainly: an agent decides, chains actions across turns, keeps memory between them and can act on real systems, a different risk profile from a single request-response call. That is the authorisation and audit-trail question tool governance is named for.
Agentic Engineering for SAP BTP ExtensionsAgentic Engineering for SAP BTP ExtensionsAn agent harness coordinates code generation across isolated Git worktrees, using a skills registry, SAP CAP MCP Server, Fiori MCP Server and UI5 Web Components MCP Server for development context. The diagram shows LiteLLM as a model proxy in front of SAP AI Core, while automated checks and review gate the generated changes. The worked scenario is CAP-based extensions on BTP, with specifications written before generation and reusable skills governed across teams.
ARC-1 on SAP BTP: Secure ABAP Agentic Development Beyond the LaptopARC-1 on SAP BTP: Secure ABAP Agentic Development Beyond the LaptopThe BTP deployment of ARC-1: one Cloud Foundry app per SAP system, reached by MCP clients through XSUAA and reaching the backend through the SAP Destination service, the SAP Connectivity service and Cloud Connector, with a BasicAuth destination for startup probing and a Principal Propagation destination for per-user requests, and SAP_PP_STRICT=true so a propagation problem fails instead of falling back to the shared user. Tool governance is the three gates it spells out, the server ceiling set by environment variables, the user's permission from XSUAA role collections, OIDC scopes or API-key profiles, and the SAP backend authorisation, all of which must allow an action, and the staged rollout from read-only to writes in $TMP, then selected packages, then transport writes. It recommends the MTA deployment over Docker on Cloud Foundry or a buildpack push, treats BTP ABAP Environment as a separate service-key scenario with no Cloud Connector, and is not a full setup guide: the commands are left to the ARC-1 deployment docs.published 2026-04-29
ARC-1 on SAP BTP: Secure ABAP Agentic Development Beyond the Laptop
arc-1 has been through 3 major lines since this was published: 0.8 (2026-05), 0.9 (2026-05), 1 (2026-07). Affects A recipe.
Building an Enterprise-Ready SAP AI Agent with Open SourceBuilding an Enterprise-Ready SAP AI Agent with Open SourceA self-hosted chat agent for SAP systems: LibreChat as UI and orchestrator with Entra ID sign-in and SharePoint connected, a local LLM through Ollama, and two MCP servers, mcp-sap-docs for public documentation and the ADT MCP server vibing-steampunk for the system itself. The ADT server runs in its read-only mode under a technical user with display authorisations only, so the agent can find a function module and pull its source, or locate a RAP business object with its behaviour definition and projection view, but cannot change anything. Two workflows show it, explaining what BAPI_DISPUTE_CREATE does in one system and planning a RAP action from a PDF specification, where the generated ABAP is copied into Eclipse by hand; the full setup is in the marianfoo/llm-client-sap-system-integration-sharepoint repository.published 2026-03-03
Building MCP Servers with SAP Integration Suite: What to Design, Not Just How to ConnectBuilding MCP Servers with SAP Integration Suite: What to Design, Not Just How to ConnectArgues that the tool design, not the connection, is the hard part of putting an API in front of an agent. Works one request — create a customer — through eight endpoint-shaped tools, where the agent carries ids between calls and rebuilds the business rules each run, then through a single intent-shaped create_customer that hides the sequence; and says what separates the two: a business operation for a name, parameters a caller can supply without a lookup, the rules in the server rather than the prompt, and a description written for an agent choosing a tool. The SAP Integration Suite half is short — three creation paths, an iFlow behind the API artifact when a tool has to cross systems — and it closes on a checklist to run before publishing.published 2026-07-07
Building trusted applications on SAP Business AI Platform by designBuilding trusted applications on SAP Business AI Platform by designBuilding cloud applications on SAP Business AI Platform with security and compliance built in: the identity, connectivity, governance and security services SAP groups under the platform, secure-by-design development, and authorisation and access controls for AI agents. The edges are to Authorization and to Tool governance, the concern of what an agent may call with which authorisations; the abstract names the service categories and no service by name. A TechEd 2026 session (Wednesday 28 October, Berlin), presented by Christian Cohrs and Regine Schimmer, written here from SAP's abstract; the recording is not yet published.
Govern AI-supported actions across enterprise systemsGovern AI-supported actions across enterprise systemsGoverning what an AI agent may do once it takes business actions across enterprise systems, which is the Tool governance concern, with SAP Integration Suite as the place it is enforced. The abstract lists the mechanisms, scoped APIs, event-driven workflows, runtime policy enforcement, exception handling and observability across SAP and third-party systems, and names no Integration Suite feature behind any of them. A TechEd 2026 session (Tuesday 27 October, Berlin; also IN200V, virtual), presented by Finny Babu and Piyush Gakhar, written here from SAP's abstract; the recording is not yet published.
HANA AI Toolkit — Local MCP ServerHANA AI Toolkit — Local MCP ServerAn MCP server that turns the hana-ml Python library into governed tools an agent can call against a HANA Cloud instance, shipped in the hana-ai toolkit and exposed over stdio, SSE and streamable HTTP. Its one firm rule is attributable execution: an audit module writes the MCP-side identity — agent, model, session, tool, redacted arguments — into the HANA connection before any SQL runs, and fails the call if that write fails. A worked example of governance on an MCP tool surface, from SAP's data side rather than CAP's.published 2026-06-15
Intelligent, governed, and agentic integrations with SAP Integration SuiteIntelligent, governed, and agentic integrations with SAP Integration SuiteSAP Integration Suite positioned as the control plane that connects and governs agentic workflows across SAP and third-party systems, set against the abstract's claim that exposing back ends directly to AI brings security, compliance and cost risks. That governing role is the Tool governance concern; the abstract promises recent innovations and names none. A TechEd 2026 session (Wednesday 28 October, Berlin), presented by Finny Babu and Piyush Gakhar, written here from SAP's abstract; the recording is not yet published.
Introducing ARC-1: A Secure ADT MCP Server for Enterprise SAP DevelopmentIntroducing ARC-1: A Secure ADT MCP Server for Enterprise SAP DevelopmentWhy ARC-1 exists beside earlier ADT MCP servers such as vibing-steampunk, fr0ster/mcp-abap-adt and dassian-adt: one centrally deployed instance per SAP system instead of a server on each developer laptop, with the MCP client to ARC-1 hop and the ARC-1 to SAP hop authenticated separately. It sets out the restrictive defaults (read-only, no free SQL or named table preview, writes confined to $TMP), the layering in which ARC-1's configuration, the user's role and SAP's own authorisation must all allow an action, Principal Propagation so SAP sees the real user, and audit events to the SAP Audit Log service; that is tool governance as much as agent access to your code. It leaves the BTP setup to the next part, and places ARC-1 beside SAP's ADT MCP Server, which SAP's configuration guide describes as a local HTTP server hosted by the IDE, and beside SAP API Policy 4.2026a, where ARC-1's stated position is to stay close to documented ADT behaviour and ask SAP before production use.published 2026-04-27
Model context protocol (MCP) unlocked: Enable governed access to AI agentsModel context protocol (MCP) unlocked: Enable governed access to AI agentsThe MCP Gateway in SAP Integration Suite: the place policy, security and analytics are applied to a curated set of MCP tools before an AI agent reaches enterprise tools and APIs through it, tool governance done in the integration layer and agent access to your systems routed through one gateway. The abstract names the gateway and its three functions and does not say how tools are curated, which policies exist or how the agent authenticates. A TechEd 2026 session (Tuesday 27 October, Berlin), presented by Bruno Renzo, Emily Mui, Markus Winter and Sunny Kapoor, written here from SAP's abstract; the recording is not yet published.
OData entity as a governed query surface for agents, not a toolOData entity as a governed query surface for agents, not a toolAn OData entity, generated from the annotations a service already carries, as the surface an agent queries over SAP data: filterable, selectable and sortable fields, authorisation injected on the server side, and a bound query cost, instead of the entity as a tool. SAP's abstract sets this against the MCP gateway in SAP Integration Suite, where exposing an API is the easy part and getting an agent to pick the right one is not, which is the tool governance concern read through OData. A TechEd 2026 session (Wednesday 28 October, Berlin), presented by Aleksandr Ivanov and Evgenii Shirokikh, written here from SAP's abstract; the recording is not yet published.
Third-Party MCP Server Access to SAP Solutions on BTPThird-Party MCP Server Access to SAP Solutions on BTPDescribes external MCP servers and custom servers on BTP, assigning their operators responsibility for authentication, scoped identity, API limits, logging and lifecycle. The permitted use remains conditional on the SAP API Policy, while SAP Integration Suite and Joule Studio are described as SAP-provided paths. Hosting a server on BTP does not automatically supply its governance controls.Dhawal Joshi, Harut Ter-Minasyan, Mirko Günther
How to implement SAP BTP Audit log service in a CAP ApplicationHow to implement SAP BTP Audit log service in a CAP ApplicationThe setup half: binding the BTP Audit Log service to a CAP application and getting the annotated path working, which is the step before anything custom becomes a question.KrishnaSharma7, published 2025-01-01
How to implement SAP BTP Audit log service in a CAP Application
@cap-js/audit-logging has been through 2 major lines since this was published: 0.9 (2025-06), 1 (2025-07). Affects A recipe.
Implementing Custom Audit Logging in SAP CAP ApplicationsImplementing Custom Audit Logging in SAP CAP ApplicationsWhere the annotations stop. CAP logs personal-data operations automatically once a model is annotated; this is about the events that are not that — an unauthorised access attempt, a business action somebody wants a trail for — and what writing those yourself involves.gopalanand, published 2025-10-09
Agentic AI & AI AgentsAgentic AI & AI AgentsSAP's target picture for AI agents: Joule as the engagement layer — Joule Work, Joule Assistants, Joule Agents — with custom agents from customers, partners and SAP teams connecting through A2A for agent-to-agent collaboration and MCP for tool connectivity, on the SAP Business AI Platform. It says up front that parts are not generally available yet, in particular bidirectional communication with third-party agents through the Agent Gateway, so it reads as direction with the building blocks named rather than a design to copy today.published 2026-08-27
Architecting Complex Real Life Business Scenario on SAP BTP with ease [ Targeting Multiple backend S/4HANA Systems utilizing Principal Propagation ]Architecting Complex Real Life Business Scenario on SAP BTP with ease [ Targeting Multiple backend S/4HANA Systems utilizing Principal Propagation ]The opening of a three-part series on reaching more than one S/4HANA system from one CAP application with the user's identity carried through. This part sets up the business problem; the propagation itself is in the parts that follow.mohit_bansal3, published 2022-11-25
Building Custom Authentication in SAP CAPBuilding Custom Authentication in SAP CAPpublished 2025-10-25
Building Custom Authentication in SAP CAP
cds 9, maintenance until 2027-06. Affects A recipe.
Connect to Public Cloud API in Node.js via Authorisation CodeConnect to Public Cloud API in Node.js via Authorisation CodeThe authorisation code flow rather than client credentials, which is the harder half: a service key, an XSUAA instance bound to the CAP app, and a destination, with the author saying plainly that this was challenging and they hope it saves somebody the same time.Egan, published 2025-07-22
Enabling Authorization Policies in SAP Cloud Identity Services - IAS with AMS/CAPEnabling Authorization Policies in SAP Cloud Identity Services - IAS with AMS/CAPAuthorization policies defined in Identity Authentication and consumed by a CAP application through AMS — the configuration half of the move away from XSUAA scopes, from the identity service's side rather than the application's.Yogananda, published 2024-12-27
Enabling Authorization Policies in SAP Cloud Identity Services - IAS with AMS/CAP
Authorization changed in CAP Java 3.7.1, 2025-01-30. Affects A recipe.
Evolving the identity lifecycle for an AI-first futureEvolving the identity lifecycle for an AI-first futureCloud Identity Services as the foundation for authentication, identity lifecycle management and access across SAP landscapes, and the agent identity concepts and SAP-managed identity and access management scenarios SAP says reduce operational effort. The edges are to the service and to the two concerns the abstract names it for, Authentication and Identity provisioning; the abstract names the agent identity concepts and does not say what they are. A TechEd 2026 session (Tuesday 27 October, Berlin), presented by Sonia Petrescu and Swetta Singh, written here from SAP's abstract; the recording is not yet published.
Execute [OAuth2 client credentials] protected REST request with SAP CAP ApplicationExecute [OAuth2 client credentials] protected REST request with SAP CAP ApplicationA recipe, and the author calls it that — package.json, a .cds and a handler — for calling a remote service protected by OAuth2 client credentials from a CAP application. Short, complete, and addressed to CAP developers rather than to BTP administrators.Lachmish, published 2022-04-27
Execute [OAuth2 client credentials] protected REST request with SAP CAP Application
Authentication changed in CAP Java 3.0.1, 2024-07-26. Affects A recipe.
How SAP secures enterprise AI agents with identity propagationHow SAP secures enterprise AI agents with identity propagationCloud Identity Services as the identity layer for AI agents as well as people: the abstract states that both are managed in one directory, that user context is propagated by token exchange, and that authorisation is enforced at every hop, so no agent holds back-end credentials. Agents from Microsoft, Google and partners take the same flow through the agent gateway. Token exchange across a hop is the authentication side and the per-hop check the authorisation side; what the agent gateway is, and whether it is a product, the abstract does not say. A TechEd 2026 session (Wednesday 28 October, Berlin), presented by Gunnar Kosche and Sebastian Ries, written here from SAP's abstract; the recording is not yet published.
Identity lifecycle and governance with SAP services and Microsoft EntraIdentity lifecycle and governance with SAP services and Microsoft EntraCloud Identity Services beside SAP Cloud Identity Access Governance and Microsoft Entra for one user lifecycle across SAP and third-party applications: the abstract states that SAP business roles can be included in Entra access packages, so that provisioning and governance run from Entra in a hybrid environment, which is the identity provisioning concern. Which SAP systems' roles, and over which protocol, is not stated. A TechEd 2026 session (Tuesday 27 October, Berlin), presented by Martin Raepple of Microsoft, Plamen Pavlov, Regine Schimmer and Swetta Singh, written here from SAP's abstract; the recording is not yet published.
Integrating and Extending JouleIntegrating and Extending JouleSAP's reference architecture for SAP Joule across SAP cloud applications: a request is checked against a Scenario Catalog of the applications' skills and a Knowledge Catalog answered by retrieval-augmented generation, combined with the user's roles and history, sent to an LLM available through the generative AI hub, and, where a Joule function is needed, turned into a call to the backend. Its identity page is the authentication path: each user sits in the Identity Directory of Cloud Identity Services with a Global User ID, Identity Provisioning synchronises role assignments into SAP Build Work Zone, whose navigation service decides which functions a user may call, and the Destination service exchanges the user's token to call a function in the user's name. Its extension page covers Joule Studio in SAP Build, where Joule skills automate rule-based tasks over APIs and AI agents plan and reason with models and document grounding from SAP AI Core, the ground agent tooling covers; a later Joule Studio page describes a managed Joule Studio Runtime on the SAP Business AI Platform, which has no entry here.published 2026-03-16
Mobile First - Making the SAP IAS-based Proof Key for Code Exchange (PKCE) great again! 🎉Mobile First - Making the SAP IAS-based Proof Key for Code Exchange (PKCE) great again! 🎉Proof Key for Code Exchange against Identity Authentication, revisited by the author after an earlier post on the same subject — the flow that lets a mobile or single-page client authenticate without a secret it cannot keep. Sample repository under SAP-samples.martinfrick, published 2023-09-21
Part 3: Architecting Complex Real Life Business Scenario on SAP BTP with ease [ Targeting Multiple backend S/4HANA Systems utilizing Principal Propagation ]Part 3: Architecting Complex Real Life Business Scenario on SAP BTP with ease [ Targeting Multiple backend S/4HANA Systems utilizing Principal Propagation ]The final part, and the one with the most CAP in it — the service consuming the propagated destinations, and what the handler sees. Read the three together; the series is one piece.mohit_bansal3, published 2022-11-25
Part 3: Architecting Complex Real Life Business Scenario on SAP BTP with ease [ Targeting Multiple backend S/4HANA Systems utilizing Principal Propagation ]
Destinations changed in @sap-cloud-sdk/connectivity 4.0.0, 2025-03-04. Affects A recipe.
Part2: Architecting Complex Real Life Business Scenario on SAP BTP with ease [ Targeting Multiple backend S/4HANA Systems utilizing Principal Propagation ]Part2: Architecting Complex Real Life Business Scenario on SAP BTP with ease [ Targeting Multiple backend S/4HANA Systems utilizing Principal Propagation ]The middle part: the destinations and the trust that make principal propagation work against several backends rather than one, which is where the configuration stops being a copy of the tutorial.mohit_bansal3, published 2022-11-25
Road map: SAP Business AI Platform security and SAP Cloud Identity ServicesRoad map: SAP Business AI Platform security and SAP Cloud Identity ServicesThe road map for SAP Business AI Platform's security and compliance services, Cloud Identity Services and SAP Key Management Service among them, and the upcoming changes SAP files under security, governance and compliance. The edge is to Cloud Identity Services, the one named service with an entry here; SAP Key Management Service has none, and the abstract names no item of the road map. A TechEd 2026 session (Wednesday 28 October, Berlin), presented by Michael Friedrich and Sascha Vierlinger, written here from SAP's abstract; the recording is not yet published.
SAP Build Process Automation – Use Principal Propagation in Actions sample: CAP Node.js ServiceSAP Build Process Automation – Use Principal Propagation in Actions sample: CAP Node.js ServiceThe follow-up that carries the identity through. It takes the CAP service from the Actions tutorial and puts the calling user's identity behind it — an XSUAA instance, a trust configuration, an OAuthSAMLBearerAssertion destination, and the service changed to use that instance — so a step runs on behalf of a person rather than as the process.TJe, published 2023-06-22
SAP Build Process Automation – Use Principal Propagation in Actions sample: CAP Node.js Service
Workflow integration has changed twice since this was published, most recently in @cap-js/n8n 0.0.1, 2026-08-27. Affects A recipe.
SAP CAP JWT Token Flow in codeSAP CAP JWT Token Flow in codeOne question, answered precisely: at what point does the JWT exist and how does it end up on req.headers.authorization in a CAP handler. XSUAA issues it and the approuter carries it, and the post follows it through both.sandeepmalhotra, published 2023-04-03
SAP CAP JWT Token Flow in code
Authentication changed in CAP Java 3.0.1, 2024-07-26. Affects Runnable code.
SAP IAM integration with SAP Cloud Identity ServicesSAP IAM integration with SAP Cloud Identity ServicesIdentity and access management for SAP SaaS in a landscape where SAP is one vendor among several: SAP Cloud Identity Services as the designated interface, single sign-on over SAML 2 and OIDC, identity lifecycle through SCIM 2 replication of users and groups, and authorization designed per domain — an S/4HANA role and a BTP role collection are different objects that both have to reach the user. Drawn from customer projects, and the source of what authentication here says about Cloud Identity Services.published 2025-05-13
Secure Service Consumption Across HyperscalersSecure Service Consumption Across HyperscalersSAP's design for a workload on SAP BTP that calls Amazon Web Services or Google Cloud services with short-lived credentials instead of stored keys, which is the outbound side of authentication: the BTP application proving who it is to another cloud. On AWS it draws two paths, an ID token from Identity Authentication in Cloud Identity Services exchanged through AWS STS for an IAM role, or an X.509 certificate kept in SAP Destination service and presented to IAM Roles Anywhere; on Google Cloud only the token path, through Workload Identity Federation and an impersonated service account. It is drawn for those two hyperscalers only, and Microsoft Azure has no page in it.published 2025-05-14
Securing CAP Applications with SAP Cloud Identity Services and AMSSecuring CAP Applications with SAP Cloud Identity Services and AMSIdentity Authentication and AMS together as the current answer for a CAP application — authentication, single sign-on and the identity lifecycle on one side, policies on the other.gopalanand, published 2025-12-04
Simplifying SAP BTP Authentication in Pipelines with SAP Passport and PlaywrightSimplifying SAP BTP Authentication in Pipelines with SAP Passport and PlaywrightClient-certificate login to BTP works locally and has historically not worked in automated pipelines. The post uses Playwright's then-new client certificate support to close that, which is a sideways use of a browser automation library and the reason it is worth recording — the constraint it removes is a CI constraint, not a testing one.published 2024-11-08
Third-Party MCP Server Access to SAP Solutions on BTPThird-Party MCP Server Access to SAP Solutions on BTPDescribes external MCP servers and custom servers on BTP, assigning their operators responsibility for authentication, scoped identity, API limits, logging and lifecycle. The permitted use remains conditional on the SAP API Policy, while SAP Integration Suite and Joule Studio are described as SAP-provided paths. Hosting a server on BTP does not automatically supply its governance controls.Dhawal Joshi, Harut Ter-Minasyan, Mirko Günther
Understanding security approaches in SAP CAP using XSUAA in node.js flavor and MTA.Understanding security approaches in SAP CAP using XSUAA in node.js flavor and MTA.The long version, from the MTA project outward: what the deployment descriptor has to contain, how the authentication flow actually runs, and then the npm modules doing the work — @sap/xssec and @sap/xsenv named and explained rather than left as dependencies. Old, and the module names have moved on, but the flow it draws has not.balbinosoares, published 2020-03-16
Understanding security approaches in SAP CAP using XSUAA in node.js flavor and MTA.
Authorization has changed twice since this was published, most recently in CAP Java 3.7.1, 2025-01-30. Affects A recipe, Runnable code.
Use Free Tier to Subscribe to SAP Document AI Basic UIUse Free Tier to Subscribe to SAP Document AI Basic UIEight steps from an entitled subaccount to the SAP Document AI basic UI open in a browser, and most of them are identity work rather than document work: getting a tenant for Cloud Identity Services, which the basic UI requires, activating the account and establishing trust with the subaccount, then subscribing, creating a user and assigning the Document_Information_Extraction_UI_Templates_Admin role collection. Using the UI to read a document is the subject of Use Machine Learning to Extract Information from Documents with the SAP Document AI Basic UI, which this tutorial names as what to read next.
Use mocking to embrace auth in your domain model from the outsetUse mocking to embrace auth in your domain model from the outsetMock users locally so authorization is modelled from the first commit instead of retrofitted — the argument being that auth added late reshapes a domain model rather than sitting on top of it.SAP
What’s next for the core platform capabilities of SAP Business AI PlatformWhat’s next for the core platform capabilities of SAP Business AI PlatformA preview of the operations layer beneath SAP Business AI Platform: selected road map highlights across Joule Studio runtime, Cloud Identity Services and SAP Cloud Logging, on how enterprise AI is governed and run. The edges are to the two named services and to SAP Joule, whose agents the Joule Studio runtime runs; the abstract names the three areas and no highlight. A TechEd 2026 session (Tuesday 27 October, Berlin; also XP825V, virtual), presented by Andre Lamego and Jens Huesken, written here from SAP's abstract; the recording is not yet published.
XSUAA Based Authentication - Using Managed ApprouterXSUAA Based Authentication - Using Managed ApprouterOne half of a pair published the same day, both starting from capire's list of authentication kinds and then going end to end on XSUAA. This is the managed approuter route, where the platform runs the router and the application supplies configuration rather than a module.rahul_rajagopal, published 2023-09-25
XSUAA Based Authentication - Using Managed Approuter
Authorization has changed twice since this was published, most recently in CAP Java 3.7.1, 2025-01-30. Affects A recipe.
XSUAA Based Authentication - Using Standalone ApprouterXSUAA Based Authentication - Using Standalone ApprouterThe other half: the same end-to-end XSUAA setup with an approuter you deploy and own. Published alongside the managed version, and the two are worth reading together because the difference between them is the whole decision.rahul_rajagopal, published 2023-09-25
An approach to secure multiple integrated SAP CAP java applications with a common XSUAA service instanceAn approach to secure multiple integrated SAP CAP java applications with a common XSUAA service instanceOne XSUAA instance across several CAP Java applications that call each other, rather than one per application. Short, and written from inside SAP Labs as something the author tried — the value is the shape of the arrangement, not a walkthrough.sreanik_dhanyakumar2, published 2022-09-14
Authorization Management Service in SAP Cloud Identity ServiceAuthorization Management Service in SAP Cloud Identity ServiceStates the direction of travel plainly — BTP moving authorization management from XSUAA to AMS inside SAP Cloud Identity Service — and then explains what a policy is, which is the unit that replaces a scope. Split between authorization for Cloud Identity itself and for custom business applications, and it is the concept post the CAP Java write-up refers back to.kevin_li, published 2024-10-17
Building trusted applications on SAP Business AI Platform by designBuilding trusted applications on SAP Business AI Platform by designBuilding cloud applications on SAP Business AI Platform with security and compliance built in: the identity, connectivity, governance and security services SAP groups under the platform, secure-by-design development, and authorisation and access controls for AI agents. The edges are to Authorization and to Tool governance, the concern of what an agent may call with which authorisations; the abstract names the service categories and no service by name. A TechEd 2026 session (Wednesday 28 October, Berlin), presented by Christian Cohrs and Regine Schimmer, written here from SAP's abstract; the recording is not yet published.
Dynamic authorisation with user attributes in SAP CAP and AMSDynamic authorisation with user attributes in SAP CAP and AMSThe same argument as the XSUAA-to-AMS piece, opened from a concrete failure: an acquisition puts 500 users on sales data restricted by division, and role-based access control answers it with Sales_Manager_EMEA, Sales_Manager_APAC and so on until the roles multiply past managing. Attribute-based authorisation replaces the set with one policy carrying a restriction, and the post walks through defining it in AMS against Cloud Identity Services. The clearest statement of role explosion among the three AMS pieces here.pedro_iranzo, published 2026-05-04
Enabling Authorization Policies in SAP Cloud Identity Services - IAS with AMS/CAPEnabling Authorization Policies in SAP Cloud Identity Services - IAS with AMS/CAPAuthorization policies defined in Identity Authentication and consumed by a CAP application through AMS — the configuration half of the move away from XSUAA scopes, from the identity service's side rather than the application's.Yogananda, published 2024-12-27
Enabling Authorization Policies in SAP Cloud Identity Services - IAS with AMS/CAP
Authorization changed in CAP Java 3.7.1, 2025-01-30. Affects A recipe.
From XSUAA to AMS: Architecting S4HANA CAP Extensions with Policy-Based AuthorizationFrom XSUAA to AMS: Architecting S4HANA CAP Extensions with Policy-Based AuthorizationWhy scope-based authorization runs out, argued from enterprise extension work rather than from the documentation: XSUAA handles roles well, but real requirements are business-context restrictions — country, company code, organisational unit — and expressing those as scopes does not scale. The migration to policy-based authorization is presented as an architectural move for S/4HANA extensions rather than a configuration change.Avinash Vaidya, published 2026-05-27
How SAP secures enterprise AI agents with identity propagationHow SAP secures enterprise AI agents with identity propagationCloud Identity Services as the identity layer for AI agents as well as people: the abstract states that both are managed in one directory, that user context is propagated by token exchange, and that authorisation is enforced at every hop, so no agent holds back-end credentials. Agents from Microsoft, Google and partners take the same flow through the agent gateway. Token exchange across a hop is the authentication side and the per-hop check the authorisation side; what the agent gateway is, and whether it is a product, the abstract does not say. A TechEd 2026 session (Wednesday 28 October, Berlin), presented by Gunnar Kosche and Sebastian Ries, written here from SAP's abstract; the recording is not yet published.
How to Control the Visibility of CRUD and Custom Actions in Fiori Elements Based on AuthorizationHow to Control the Visibility of CRUD and Custom Actions in Fiori Elements Based on AuthorizationHiding Create, Edit and custom action buttons according to what the user may actually do — the join between the authorisation model and the annotations, which is where the two usually fail to agree and the UI offers something the service will refuse.published 2025-05-14
How to get authenticated user information with CAP in three different ways – Using the XSUAA APIHow to get authenticated user information with CAP in three different ways – Using the XSUAA APIThe third of three approaches the author sets out, and the one that returns the most: going to the XSUAA API directly rather than reading what CAP already put on the request. Depends on an earlier post for the project setup, so it starts mid-stream on purpose.ale_biagi, published 2022-07-18
How to Restrict CRUD Operations in SAP CAPM Using @Capabilities, @readonly and Test APIs with .httpHow to Restrict CRUD Operations in SAP CAPM Using @Capabilities, @readonly and Test APIs with .httpEntities are exposed with full CRUD by default, and this is how to take operations away again — @Capabilities for Insert, Update and Delete individually, @readonly for the blunt version. Tested with .http files rather than a UI, which keeps the check on the service.DeepaRagho, published 2026-05-22
Insights of Cloud SDK, CAP, XSUAA, SSH and other BTP topics from 2021Insights of Cloud SDK, CAP, XSUAA, SSH and other BTP topics from 2021A year in review, and one section in it is the reason it is here: "CAP isn't the solution for everything" — the author's point being that a pure UI5 or Fiori application does not need a CAP service wrapped around it, and that an approuter or the HTML5 Application Repository may be the better answer. The XSUAA section is a complaint about complexity rather than a guide, which is also worth having on the record.dr_vup, published 2021-12-30
Qualtrics integration with domain based authorization in CAP project on HANA cloudQualtrics integration with domain based authorization in CAP project on HANA cloudSurveys pulled from Qualtrics into a CAP application in real time, with the twist in the title: authorisation decided by the user's domain rather than by a role collection. A pattern that comes up whenever the audience is wider than the tenant.former_member69893, published 2022-09-30
Qualtrics integration with domain based authorization in CAP project on HANA cloud
Authorization has changed twice since this was published, most recently in CAP Java 3.7.1, 2025-01-30. Affects Runnable code.
SAP BTP XSUAA Security Configuration Comparison: Attribute-Based vs. Authority-Based ApproachesSAP BTP XSUAA Security Configuration Comparison: Attribute-Based vs. Authority-Based ApproachesTwo shapes of the same xs-security.json set against each other, with the resulting JWT printed for both. The consequence for application code is what makes it worth reading: under the attribute-based configuration a CAP handler reads req.user.attr.department, and under the authority-based one it does not, because the attribute is not there. Carries a migration guide between the two.rajeshkputumbaka, published 2026-02-18
SAP IAM integration with SAP Cloud Identity ServicesSAP IAM integration with SAP Cloud Identity ServicesIdentity and access management for SAP SaaS in a landscape where SAP is one vendor among several: SAP Cloud Identity Services as the designated interface, single sign-on over SAML 2 and OIDC, identity lifecycle through SCIM 2 replication of users and groups, and authorization designed per domain — an S/4HANA role and a BTP role collection are different objects that both have to reach the user. Drawn from customer projects, and the source of what authentication here says about Cloud Identity Services.published 2025-05-13
SAP Job Scheduling Service + Cloud Application Programming Model application (CAP) + SAP Authorization and Trust Management Service (XSUAA)SAP Job Scheduling Service + Cloud Application Programming Model application (CAP) + SAP Authorization and Trust Management Service (XSUAA)Calling an unsecured endpoint on a schedule is trivial; this is the same thing once the endpoint is protected. The interesting part is the caller — the Job Scheduling Service is not a person, so CAP's pseudo-roles are where the post spends its time, and $XSSERVICENAME has to match the scheduler's own instance name.former_member412792, published 2022-12-12
Securing a CAP Node.js App with SAP AMS on BTP Cloud FoundrySecuring a CAP Node.js App with SAP AMS on BTP Cloud FoundryThe end-to-end version: a CAP Node.js project from cds init, role-based access through the Authorization Management Service and Identity Authentication Service, and an MTA deployment to Cloud Foundry. The prerequisite list is the useful part to read first — HANA Cloud, an IAS tenant and an AMS entitlement — because it says plainly what this path costs before you are three steps into it.Jacky Liu, published 2026-07-17
Securing CAP Applications with SAP Cloud Identity Services and AMSSecuring CAP Applications with SAP Cloud Identity Services and AMSIdentity Authentication and AMS together as the current answer for a CAP application — authentication, single sign-on and the identity lifecycle on one side, policies on the other.gopalanand, published 2025-12-04
Understanding security approaches in SAP CAP using XSUAA in node.js flavor and MTA.Understanding security approaches in SAP CAP using XSUAA in node.js flavor and MTA.The long version, from the MTA project outward: what the deployment descriptor has to contain, how the authentication flow actually runs, and then the npm modules doing the work — @sap/xssec and @sap/xsenv named and explained rather than left as dependencies. Old, and the module names have moved on, but the flow it draws has not.balbinosoares, published 2020-03-16
Understanding security approaches in SAP CAP using XSUAA in node.js flavor and MTA.
Authorization has changed twice since this was published, most recently in CAP Java 3.7.1, 2025-01-30. Affects A recipe, Runnable code.
Using Postman for API Testing with XSUAAUsing Postman for API Testing with XSUAAA way to get a JWT without routing traffic through the approuter and picking the token out of it. The author walks the alternatives first — redirect through the router, intercept the token — and says what is wrong with each, before requesting the token from the service directly.mariusobert, published 2020-03-02
Why developers should care about credential-types for xsuaa?Why developers should care about credential-types for xsuaa?Rotating secrets, argued from a habit rather than a feature: the author names the practice implicit in many beginner tutorials — lifting a secret out of a binding to use it elsewhere — and notes CAP has features that make it unnecessary in development. Then the three credential types side by side, configured on a CAP application's uaa resource in mta.yaml and through a deployment extension.former_member2839, published 2022-07-05
Why developers should care about credential-types for xsuaa?
Authorization has changed twice since this was published, most recently in CAP Java 3.7.1, 2025-01-30. Affects A recipe, Runnable code.
XSUAA Based Authentication - Using Managed ApprouterXSUAA Based Authentication - Using Managed ApprouterOne half of a pair published the same day, both starting from capire's list of authentication kinds and then going end to end on XSUAA. This is the managed approuter route, where the platform runs the router and the application supplies configuration rather than a module.rahul_rajagopal, published 2023-09-25
XSUAA Based Authentication - Using Managed Approuter
Authorization has changed twice since this was published, most recently in CAP Java 3.7.1, 2025-01-30. Affects A recipe.
XSUAA Based Authentication - Using Standalone ApprouterXSUAA Based Authentication - Using Standalone ApprouterThe other half: the same end-to-end XSUAA setup with an approuter you deploy and own. Published alongside the managed version, and the two are worth reading together because the difference between them is the whole decision.rahul_rajagopal, published 2023-09-25
XSUAA Local TestingXSUAA Local TestingAdding XSUAA to a CAP project two ways, and then the part that is usually missing: getting the authorisation to behave on a laptop rather than only after deployment. The default authentication mechanism is the easy half; testing it without a landscape is the reason this exists.ManasaManu, published 2024-10-17
XSUAA Local Testing
Authorization has changed twice since this was published, most recently in CAP Java 3.7.1, 2025-01-30. Affects A recipe, Runnable code.
New and improved: Change Tracking pluginNew and improved: Change Tracking pluginThe 2.0 announcement, and unusually candid about why there is a 2.0 at all: the plugin already existed and was, in the author's words, plagued by many issues. What it records is every insert, update and delete with the user and the timestamp, aimed at root-cause analysis and at detecting changes nobody authorised. Generally available as of this post, having been hinted at as beta in the April release notes.published 2026-06-12
New and improved: Change Tracking plugin
cds 2, line ended. Affects A recipe, Runnable code.
Elevating Data Privacy in SAP CAP based GenAI Applications with CAP LLM PluginElevating Data Privacy in SAP CAP based GenAI Applications with CAP LLM PluginThe question underneath the enthusiasm: what leaves your landscape when a prompt goes to a model. The plugin's answer is to anonymise the sensitive fields through HANA before the prompt is sent, and this is the post that explains why that is the design rather than an option.AkashAmarendra, published 2024-02-02
Evolving the identity lifecycle for an AI-first futureEvolving the identity lifecycle for an AI-first futureCloud Identity Services as the foundation for authentication, identity lifecycle management and access across SAP landscapes, and the agent identity concepts and SAP-managed identity and access management scenarios SAP says reduce operational effort. The edges are to the service and to the two concerns the abstract names it for, Authentication and Identity provisioning; the abstract names the agent identity concepts and does not say what they are. A TechEd 2026 session (Tuesday 27 October, Berlin), presented by Sonia Petrescu and Swetta Singh, written here from SAP's abstract; the recording is not yet published.
Future-ready access governance from SAP: Strategy and innovationFuture-ready access governance from SAP: Strategy and innovationStrategy and road map for SAP Access Control and SAP Cloud Identity Access Governance: AI-enabled governance, hybrid deployment options and identity services for securing SAP landscapes and compliance. Neither product has an entry here; the edge is to Identity provisioning, the nearest concern, since access governance decides which users hold which roles in which systems, and the abstract names no identity service by name. A TechEd 2026 session (Wednesday 28 October, Berlin), presented by Sonia Petrescu and Swetta Singh, written here from SAP's abstract; the recording is not yet published.
Identity lifecycle and governance with SAP services and Microsoft EntraIdentity lifecycle and governance with SAP services and Microsoft EntraCloud Identity Services beside SAP Cloud Identity Access Governance and Microsoft Entra for one user lifecycle across SAP and third-party applications: the abstract states that SAP business roles can be included in Entra access packages, so that provisioning and governance run from Entra in a hybrid environment, which is the identity provisioning concern. Which SAP systems' roles, and over which protocol, is not stated. A TechEd 2026 session (Tuesday 27 October, Berlin), presented by Martin Raepple of Microsoft, Plamen Pavlov, Regine Schimmer and Swetta Singh, written here from SAP's abstract; the recording is not yet published.
Transforming Enterprise Data Strategy with SAP Business Data CloudTransforming Enterprise Data Strategy with SAP Business Data CloudSAP's layered picture of SAP Business Data Cloud, from lake storage and compute up to a knowledge core and agents, with eight sub-pages that each work one part through. The data products page is the cataloguing and lineage part: datasets described by Open Resource Discovery metadata, listed in the BDC catalog and shared over Delta Sharing to SAP Databricks and SAP HANA Cloud, with SAP Datasphere as a consumer on the intelligent content page; other pages install intelligent content, bring SAP BW data in through the Data Product Generator, provision groups by SCIM from Cloud Identity Services into SAP Databricks, which is identity provisioning, and train predictive models in SAP Databricks that SAP AI Core then serves for batch and real-time scoring. The main page states direction more than mechanism, and the BW page marks SQL Share for derived and OData for analytical data products as to be available.published 2026-05-12
#CAP-TechBytes Input Validation#CAP-TechBytes Input ValidationThe annotations one at a time — @mandatory, @assert.unique, @assert.range including the enum form, @assert.format — each with what it produces. Ends on error handling, which is the part that decides whether any of it is usable from a UI.Thajunniza, published 2023-07-07
Declarative Programming in CAP: Less Code, More ValueDeclarative Programming in CAP: Less Code, More ValueAn argument for annotations over handlers, made from the case where it is most obvious: repetitive validation logic that could be declared instead of written. Describes what you want rather than how to get it, and lets the runtime decide the how.published 2026-02-05
Everything new: Try out the latest features in CAPEverything new: Try out the latest features in CAPCAP (@sap/cds) gains the features this hands-on session works through: declarative constraints, which is the input validation concern, status flows as status transition flows, a cds REPL, extensibility through @sap/cds-oyster, and HCQL, which SAP's abstract calls CAP's native query-over-HTTP protocol, after an opening stretch of AI-driven app development. The abstract names the features and stops there; what each one does is not described. A TechEd 2026 hands-on session (Wednesday 28 October, Berlin), presented by Daniel Hutzel, Daniel Schlachter, Marc Huber and Tim Back, written here from SAP's abstract; the recording is not yet published.
Extend SAP Cloud Application Programming Model(CAP) Validations with the CAPVAL PluginExtend SAP Cloud Application Programming Model(CAP) Validations with the CAPVAL PluginThe complaint first: the built-in annotations are good for data integrity and poor at telling the user what went wrong, and there is no way to reuse a rule. capval, the plugin the post announces, adds @validation.message alongside the standard annotations rather than replacing them, and @validation.handler for a check written as a class. Published in January 2024, before the 1.2.0 line the README now pairs with @sap/cds 8.0.0 and above; the two annotations it shows are the two the README still documents.published 2024-01-09
Learn how to define constraints declaratively in your CDS modelLearn how to define constraints declaratively in your CDS modelConstraints expressed in the model rather than checked in a handler — the distinction the atlas draws between input validation the framework enforces and validation somebody writes.SAP
Configure an MCP Server Created from an HTTP EndpointConfigure an MCP Server Created from an HTTP EndpointDocuments configuring API Management’s HTTP-source MCP server tools, resources, prompts and policies. Resources are selected from GET operations and have URI templates/content types; prompts define User/Assistant messages with optional arguments, alongside MCP policy configuration.
Create an MCP Server for Enterprise AI AgentsCreate an MCP Server for Enterprise AI AgentsWraps the preceding supply-risk graph from API Composition as an MCP server in Integration Suite, with API Management activated as a prerequisite. The walkthrough selects retrieval tools, deploys on Integration Cell, publishes a product in Developer Hub, creates an agent subscription and invokes the tools in MCP Inspector; its companion tutorial uses mock backends.Shyam, published 2026-09-23
Modern integration at TÜV Rheinland: APIs, events and cloud transformationModern integration at TÜV Rheinland: APIs, events and cloud transformationTÜV Rheinland's migration from SAP Process Orchestration to SAP Integration Suite with API-led connectivity and event-driven architecture, told through business cases. The abstract names what was used: the SAP Integration Suite, Event Mesh capability, API Management, generative AI for faster development and SAP Cloud ALM for monitoring. It states nothing about how any of them was used, so the edges rest on the names and on the Platform migration the story starts from. A TechEd 2026 session (Wednesday 28 October, Berlin), written here from SAP's abstract; the recording is not yet published.
Road map for SAP Integration Suite: What ships next across all capabilitiesRoad map for SAP Integration Suite: What ships next across all capabilitiesSAP's road map for SAP Integration Suite across its capability areas: API Management, event-driven integration, business process and trading partner integration, and hybrid runtimes for SAP and third-party systems. The abstract promises recent deliveries and the planned innovations that make the platform agent-ready within SAP Business AI Platform; it names the areas and no shipping item, so the edges rest on the product and the one area it names by a product name. A TechEd 2026 session (Thursday 29 October, Berlin; also IN804V, virtual), written here from SAP's abstract; the recording is not yet published.