Everything in CAP / Node.js
190 of 911
Type
Domain
Origin
Signals: Last 3 months
Content
Node.js: Answers in Node.js
More
Group by: Capability
Liveness Last 3 monthsClear all
EntryBySignalsLast activity
Agent toolingSAP and community
@cap-js/agents@cap-js/agentsSAP's own CDS plugin for building agents inside a CAP service, wired to audit logging and telemetry through peer dependencies rather than leaving observability to the author.sap official, cap
CDS plugin for building agents inside a CAP service
Not as a gateway or proxy for SAP Application APIs: capire's guide states that CAP-level agents are intended only for exposing custom CAP application services and are not an SAP-endorsed architecture or pathway for agentic access to those APIs, and sends the reader to the SAP Architecture Center for the endorsed routes. Not as the screen a user of the application talks to, either — the chat preview in the generic index.html page is marked experimental and for local development.
@mi8y/cap-agents-memory@mi8y/cap-agents-memoryA LangGraph Store written against CDS: the facts and preferences an agent keeps between sessions are entities in the CAP database, read and written inside a request handler under its tenant.independent, cap
LangGraph Store keeping agent memory as CDS entities
@mi8y/cap-agents-sdm-backend@mi8y/cap-agents-sdm-backendA Deep Agents filesystem backend whose files are documents in an SAP Document Management repository, so what a CAP agent reads and writes stays where people can open it too.independent, cap
Deep Agents filesystem over an SAP Document Management repository
Not a way to edit Office formats: the author states that access to a file does not automatically provide native editing of Word documents, spreadsheets or PDFs, and suggests starting with text-based content such as instructions, templates and reports. Not a control point either: a prompt telling the agent to ask for confirmation or to leave a template alone needs enforceable application controls where that is a business requirement, and the host application stays responsible for the authenticated request context and tenant isolation.
@mi8y/cds-langgraph-persistence@mi8y/cds-langgraph-persistenceA LangGraph checkpointer backed by CDS, so an agent's state survives the request that created it — durability for LangChain and LangGraph agents running inside the CAP Node.js runtime.independent, cap
LangGraph checkpointer backed by CDS for CAP agents
@sap/joule-studio-cli@sap/joule-studio-cliSAP’s CLI package for both legacy Joule digital assistants and the new Joule Studio solution workflow, through the joule and jl commands.sap official, btp
CLI for Joule digital assistants and Joule Studio solutions
@sap/joule-work-dev-cli-early-adopters@sap/joule-work-dev-cli-early-adoptersjl, the pro-code CLI of the new Joule Studio: a solution is a folder with a solution.yaml and typed assets, validated, built into a zip and deployed to Joule Studio's managed runtime, with Claude Code or OpenCode wired in over MCP. Early Adopter Care.sap official, btp
Pro-code CLI for building and deploying Joule Studio solutions
@saptarishi/cds-plugin-llm@saptarishi/cds-plugin-llmA CAP service kind that puts eleven model providers behind one chat, stream, embed and batch interface, so which backend a service calls is a profile in package.json rather than a change to the handler.independent, cap
CAP service kind putting eleven model providers behind one API
cap-agent-ui5-webuicap-agent-ui5-webuiGives a CAP agent a UI5 web interface out of the box, so an agent built in the service has somewhere to be talked to without a separate frontend project.independent, cap
UI5 web interface for an agent built in a CAP service
Not where the agent is reached over anything other than A2A: the README states the plugin does not speak anything other than A2A as @cap-js/agents serves it. Not where an upgrade has to be uneventful either — it pins @cap-js/agents to exactly 0.9.1, calls that package pre-1.0 and days old at the time of writing, and says this plugin inherits that instability and to expect breakage on upgrade.
cds-agentscds-agentsTurns a CAP service into a tool layer for agent frameworks — a CAPToolkit bound to a named service, with a tool strategy controlling how much of it becomes callable.independent, cap
Toolkit turning a CAP service into tools for agent frameworks
cap-agent-ui5-webui-samplecap-agent-ui5-webui-sampleA worked example of the cap-agent-ui5-webui plugin, shown running locally, in hybrid mode against SAP AI Core, and deployed.independent, cap
Worked example of the cap-agent-ui5-webui plugin
Neither the package manifest nor the repository tree declares a licence.
Achieve Agentic Enterprise Automation with SAP Integration Suite and Joule StudioAchieve Agentic Enterprise Automation with SAP Integration Suite and Joule StudioA Devtoberfest 2026 integration-track session (INT-22), the second of that week's integration sessions, given by an SAP product expert for process automation and integration together with the product manager for Joule Studio, who walks the audience through it. The opening states the subject: process management, automation and orchestration unified into one combined approach, which the presenters put forward as the foundation for building custom AI agents.SAP Developers, published 2026-09-30
Adapting SAP Joule for Purchase Order Creation from an Existing Purchase RequisitionAdapting SAP Joule for Purchase Order Creation from an Existing Purchase RequisitionA custom Joule Agent and Joule Skill, built in Joule Studio, classic edition to extend SAP Joule past its built-in Purchase Order display and change features: a buyer's single sentence naming a Purchase Requisition number becomes a created Purchase Order, with the skill wrapping the Purchase Requisition and Purchase Order OData V4 APIs as Action Packages reached through two destinations. The author anchors the agent's success condition to a PurchaseOrderNumber in the skill's output rather than an HTTP status code, and reports that the Purchase Requisition item structure does not map one-to-one onto the Purchase Order creation payload.jonathanvi59, published 2026-08-19
Be the First to Understand Joule Work's Agentic ThinkingBe the First to Understand Joule Work's Agentic ThinkingA Devtoberfest 2026 session on the agent harness behind agentic thinking in Joule Work: generic operating-system tools in a gVisor-isolated sandbox instead of hand-wired domain functions, a react loop, a warm pool of sandboxes torn down after each task, tenant-separated skill loading, and placeholder tokens the agent never sees swapped for real credentials at the egress path. A skill is a folder with a SKILL.md carrying metadata and instructions, and where it reaches a system, an SAP connectivity JSON that declares each connector by ORD ID with its guardrails — GET allowed by default, POST, PUT, PATCH and DELETE requiring human approval, everything else blocked. The demo uploads a cost-centre skill through the skills view, then has agentic thinking delegate over A2A through Agent Gateway to a custom agent built in Joule Studio, whose MCP tools read cost centres from an S/4HANA Cloud system, and ends by turning the result into a PDF; the Joule Studio trace is what shows the tool call actually happened.SAP Developers, published 2026-10-15
Building Agentic Workflows with n8n in Joule StudioBuilding Agentic Workflows with n8n in Joule StudioA Devtoberfest 2026 session, JS-31, on SAP-managed n8n inside Joule Studio, shown as a labs preview on a blocked-invoice scenario: a solution made of assets, an intent refined by the web agent into requirements and then a specification, and the generated workflow opened in the n8n editor that Joule Studio connects to its own n8n tenant, with the generated files committed through GitHub. The nodes carry the other edges — the human-in-the-loop node is built on SAP Task Center, and SAP AI Core is where model providers are configured centrally instead of per developer. It ends in Joule chat, where the approval task the workflow created is listed, opened and completed.SAP Developers, published 2026-10-08
Building Code-Based AI Agents on the BAIPBuilding Code-Based AI Agents on the BAIPA Devtoberfest 2026 session on writing the agent yourself rather than configuring one, which is the agent tooling edge: an agent is a model with tools, skills, memory and context around it, and the session reads the code of one built in CAP as a LangGraph state graph, with an agent node that calls the model, a tools node holding the MCP clients, and the edge between them looping until no tool is needed. It then shows the shorter route, a CDS service annotated for the agent protocol with its instructions and skills in an agent.md file. SAP AI Core carries both, with the CAP service in front of it as middleware so the credentials never reach the browser, and that is what cap-agent-ui5-webui is demonstrated against: added as a dependency, it gives the annotated service a UI5 chat interface that can be deployed rather than only previewed. A Python multi-agent application on Cloud Foundry, where an orchestrator delegates to per-stack specialists so no single model sees every tool, closes the session.published 2026-10-09
CAP in the age of AICAP in the age of AISeven live episodes of Hands-on SAP Dev in which DJ Adams works through CAP's AI features with the people who build them, each one a screen-share against a sample project. The first three are @cap-js/mcp: the @mcp annotation on a service, the describe, query and call tools, CQL as the query format, and what authorisation takes out of the tool list. From episode three the run moves to A2A and @cap-js/agents — human approval of an action, agents.md and skills, session persistence, telemetry and sub-agents — and the last two episodes are vector embeddings in CDS, local on SQLite and native on SAP HANA Cloud.published 2026-08-07
CAP in the age of AI #3 - from MCP to A2ACAP in the age of AI #3 - from MCP to A2AThe episode that finishes @cap-js/mcp with authorisation and then crosses to agents. @requires and @restrict are the same annotations CAP already has, and the plugin reads them to filter the tool list and the describe output per user and per request, so a model is not told about entities the caller cannot reach — where the OData metadata of the same service lists every exposed entity regardless. The second half annotates a service with @agent from @cap-js/agents, which serves it over A2A with an agent card and a chat preview, runs first against a mocked response and then against SAP AI Core bound with cds bind and a hybrid profile, and reuses the MCP adapter's tools rather than defining new ones.published 2026-08-21
CAP in the age of AI #4 - more on agentsCAP in the age of AI #4 - more on agentsAsking a human first, and telling the agent how to behave. Ordering a book through @cap-js/agents happens without a question being asked; the human-in-the-loop annotation on the action turns the same request into an approve-or-reject step, which the episode follows down to the A2A status update that stores the task in an input-required state in the database — A2A itself being JSON-RPC 2.0 over HTTP with server-sent events for the stream. The rest is instructions on disk: an agents.md in the service's own folder removes the question about how many copies to order, a skill under a skills folder is advertised by its description and read only when the agent decides the case applies, and either file makes the plugin build a deep agent instead of the plain one.published 2026-09-11
CAP in the age of AI #5 - agents wrap-upCAP in the age of AI #5 - agents wrap-upThe agents topic closed out on what sits around the agent rather than inside it, now that the documentation has moved into capire. The chat preview's session is persisted in the database rather than kept in memory, traces go out through @cap-js/telemetry to a self-hosted MLflow under the OpenTelemetry conventions for generative AI, and the panel is explicit that @agent reuses the MCP adapter's code programmatically without serving an MCP endpoint. It ends in the xtravels sample, where a travel agent delegates to a hotel-service sub-agent and reaches a separately started flight service over MCP through the service binding CAP resolves anyway. Earlier in the hour the same agent answers from a model running on the presenter's laptop, reached as an OpenAI-compatible endpoint.published 2026-10-02
CAP: The Road Ahead - Simplicity in an AI EraCAP: The Road Ahead - Simplicity in an AI EraDevtoberfest 2026 session CAP10, from the head of SAP's Cloud Application Programming Model: forty minutes of live building rather than slides, on the argument that the cheapest code in an AI project is code nobody has to generate. Claude Code builds an invoice-matching workspace from cds init onwards, and each step is one the framework answers rather than the agent: a 42-line domain model that @sap/cds serves as OData and Fiori elements with a status flow, data privacy and change-tracking annotations that produce audit log entries in the console and would reach the SAP Audit Log service once deployed, an imported S/4HANA supplier data product, and semantic matching from a local embedding model after @cap-js/ai is added. The last three steps are annotations: @mcp beside @odata turns the service into an MCP server that a second Claude session queries through @cap-js/mcp, an agent annotation adds the A2A protocol with an agent card and an audit log entry for the agent task, and a skill file gives the agent the matching policy.SAP Developers, published 2026-09-25
From Intent to Arcade: Building Joule*Bert with Joule Studio and AI-Assisted Pro CodeFrom Intent to Arcade: Building Joule*Bert with Joule Studio and AI-Assisted Pro CodeA Devtoberfest 2026 AI-track session that takes a Q*bert-style arcade game, written as an Easter egg for colleagues, through every phase Joule Studio runs: intent analysis with its clarifying questions, a product requirements document, a specification with its task list, generated code, generated tests and deployment. The knowledge-graph lookup reports that the game maps to no enterprise process and the flow adjusts, and the presenter edits the requirements by hand when the first version declares sound out of scope. He then pushes the project to GitHub, clones it and initialises the jl command line so that Joule Studio's MCP servers are wired into the coding agent in VS Code, where mobile arrow keys were added afterwards; applications could not yet be deployed to the Joule Studio runtime, so this one runs on Kyma.SAP Developers, published 2026-10-01
How to implement business AI capabilities in ABAP CloudHow to implement business AI capabilities in ABAP CloudA Devtoberfest 2026 session (ABA-32) on embedding AI in an ABAP Cloud application and on making SAP Joule aware of what that application can do. The first demo implements two features of a RAP travel app with the ABAP AI SDK: a determination on an uploaded receipt that sends the image together with the allowed categories and transaction types to a model reached through an intelligent scenario, then writes the extracted description, category, currency and amount back to the expense entity; and a recommendation function, triggered by a side effect on the trip title, that proposes a trip type with a score the Fiori UI sorts the proposals by and leaves the business user to accept — which is LLM integration from ABAP code. The second demo builds a capability for SAP Joule in the Joule Studio code editor in VS Code, with a scenario that extracts a trip title from the user's intent and calls an OData service in the ABAP backend through a BTP destination, deploys it and asks the Joule test UI for the trip's details; the session states that agents reach ABAP only over governed remote APIs — OData, SQL and MCP — and that automatic grounding of custom OData services in the knowledge graph is upcoming rather than available.published 2026-10-05
Meet Joule Studio and Build your First AI AgentMeet Joule Studio and Build your First AI AgentA Devtoberfest 2026 session from the product manager of Joule Studio, walking one agent through the whole path the tool defines: an intent, the problem statement and goals a coding agent derives from it, the business context it takes from the SAP knowledge graph, and the solution type it proposes with a stated intent fit. The demo is a collections agent that drafts dunning emails: the product requirements document names the metrics and the human-in-the-loop review, the technical specification lists the artifacts to build — the MCP tools among them — and the build is followed by a business test run against business partner 10001, technical unit tests, and deployment to the managed runtime, where the agent and its MCP server appear as deployed assets. Two points shape how it is used rather than what it produces: every asset is a file, editable in the web editor or in the code view and pushable to git, and the same solution can be built from local pro-code tools; n8n workflows are stated as delivered out of the box inside the studio.SAP Developers, published 2026-09-24
Real Pro-Code Development with Joule StudioReal Pro-Code Development with Joule StudioA Devtoberfest 2026 AI-track session that runs one agent build across both of Joule Studio's paths. Playing a procurement manager, one presenter states the intent in the browser, answers the clarifying questions, watches the fit-gap analysis name the S/4HANA APIs the use case needs, and pushes the intent and requirements document to GitHub; the other clones it and carries on in a terminal, logging in with the jl command line against her landscape URL and running its init command to fetch Joule Studio's skills for OpenCode. From there the coding agent writes the specification, the discovered API specifications, the MCP translation and the agent's Python file with its model configuration and evaluation scenarios, which is the edge to Agent tooling; the skills themselves, which SAP says not to edit but which a developer may add to, are the edge to Agent guidance.SAP Developers, published 2026-10-01
SAP BDC and AI: A Perfect MatchSAP BDC and AI: A Perfect MatchA Devtoberfest 2026 data-track session (DAT-22) in which Business Data Cloud's CTO sets out how SAP Business Data Cloud feeds SAP's business AI platform: data products whose primary persistence is an object store and whose semantics are kept with them, the one domain model that links a supplier in Ariba to a supplier in S/4HANA, and the SAP knowledge graph, a triple store running in SAP HANA Cloud and queried with SPARQL, that SAP Joule consults before answering. The live demo asks Joule for the available data products and the top ten open purchase orders, with the data product query agent compiling SQL over virtual tables and a space rendering a dashboard, which is the cataloguing side of this: a central registry, the Unified Customer Landscape, that every activated data product is registered in. The Q&A covers where the knowledge graph lives and what a customer may extend, base policies that turn into filter conditions on an agent's queries, and Joule Studio as the place to build your own agents and data products.SAP Developers, published 2026-09-29
SAP BDC in Business AI Platform: Contextualize and ReasonSAP BDC in Business AI Platform: Contextualize and ReasonA Devtoberfest 2026 session (DAT-31) that places SAP Business Data Cloud as the contextualise-and-reason pillar of the SAP Business AI Platform, between the build pillar of Joule Studio and Integration Suite and the govern pillar of AI Agent Hub. It covers data products described with open resource discovery and core schema notation metadata, a data product creation agent that assembles a derived data product for overdue billing documents from the billing document and customer products and shows its lineage and fields; the data products a line-of-business application brings being readable by Joule without a BDC subscription; and the SAP-managed knowledge graph that maps business entities and their relationships for agents, held as graph data in the SAP HANA Cloud knowledge graph engine as RDF triples queried with SPARQL. The closing demo has SAP Joule answer head-count and purchase-order questions, with the generated SQL passed through a data product query that adds the restriction policy defined for that user in cloud identity services, which is why the session stands for cataloguing and lineage as much as for the products it names.SAP Developers, published 2026-10-06
What's in Daniel Hutzel's brain?What's in Daniel Hutzel's brain?A Devtoberfest 2026 session in the building-apps track, in which Daniel Hutzel and DJ Adams work through what the CAP team is building for agents. A bookshop gets an MCP endpoint beside its OData one from a single annotation, with the plugin writing the coding agent's configuration itself; in the xt-travels sample five services that know nothing about each other are served over MCP and an agent does the orchestration the hand-built UI and its value helps used to do. Hutzel then annotates a service as an agent so the ReAct loop and the choice of model move into the CAP service, and finally drops MCP for a skill that teaches the agent CQL instead, which is where the edges to Serve your application over MCP, Agent tooling and Agent guidance come from. The mechanism under all of it, a plugin file in the package root and event handlers that can be added to any CAP service, is the edge to Plugin authoring.published 2026-10-02
Content filteringSAP only
SAP BTP AI Best Practice Demo - Content Filtering - CAPSAP BTP AI Best Practice Demo - Content Filtering - CAPA CAP backend-sample and fullstack-sample that call SAP AI Core with content filtering switched on and off, to compare the filtered and unfiltered response.sap official, cap
CAP samples comparing SAP AI Core responses with content filtering
Every CDS service in both samples is marked `@requires: 'any'` and left publicly accessible, which the README says simplifies the testing and deployment process, and it asks for proper authentication mechanisms to be applied in their place.
Data maskingCommunity only
SAP BTP AI Best Practice Demo - Data Masking - CAPSAP BTP AI Best Practice Demo - Data Masking - CAPA CAP backend-sample and fullstack-sample that generate an email through SAP AI Core with an anonymize flag on the request; the README's example prompt carries an email address.sap official, cap
CAP samples generating email through SAP AI Core with anonymization
Every CDS service in both samples is marked `@requires: 'any'` and left publicly accessible, which the README says simplifies the testing and deployment process, and it asks for proper authentication mechanisms to be applied in their place.
Document extractionSAP only
What a Second Document AI Workshop Taught Me About GovernanceWhat a Second Document AI Workshop Taught Me About GovernanceFrom questions raised at a second SAP Document AI workshop: the retention period for extracted data is a setting in the service's administration rather than a fixed property, with the source file deleted after processing and the decommissioning period for the extracted data configured to the customer's own policy. It also draws a boundary readers kept merging: Document AI extracts across languages but does not translate, so turning a document into a reviewer's own language is a separate step, pointing on BTP at SAP Translation Hub.Nicolas_BacaStorni, published 2026-08-25
Generative UICommunity only
cap-mcp-appscap-mcp-appsA CAP plugin that swaps in its own MCP protocol adapter so the results of the @cap-js/mcp query tool open as a @ui5/webcomponents table in hosts that support MCP Apps.independent, cap
Shows @cap-js/mcp query results as a table inside the agent host
LLM integrationSAP and community
@cap-js/ai@cap-js/aiOut-of-the-box value-help recommendations powered by SAP RPT-1, SAP AI Core as a standard CAP service, and an experimental local embedding model behind SQLite's vector functions.sap official, cap
Value-help recommendations and SAP AI Core as a CAP service
@saptarishi/cds-plugin-llm@saptarishi/cds-plugin-llmA CAP service kind that puts eleven model providers behind one chat, stream, embed and batch interface, so which backend a service calls is a profile in package.json rather than a change to the handler.independent, cap
CAP service kind putting eleven model providers behind one API
cap-decisionscap-decisionsAdds a decisions service to a CAP Node.js application that answers typed questions about one text or JSON state through an HTTP decision endpoint.independent, cap
CAP service for typed decisions about one text or JSON state
CAP Java is outside it: the plugin is written for CAP Node.js applications, and `cds add decisions` prints a message and writes nothing in a Java project. A decision needs an answer, so the service cannot be queued: a truthy `queued`, `outboxed` or `outbox` setting fails with `INVALID_CONFIG`, which rules out handing a call to the outbox. The package is not yet on npm, so it is installed from a GitHub release archive, and the subclass hooks, the HTTP mock server, the `cds add` facet and the provider test kit are marked experimental.
ui5-cap-ai-featuresui5-cap-ai-featuresBoth halves of an AI text feature in one package: a CDS plugin serving an AIService over SAP AI Core's Orchestration Service, and the be.wl.ai UI5 control library that calls exactly that service.independent, cap
CDS plugin and UI5 controls for AI text features via SAP AI Core
It is text processing, not an agent: there is no tool calling, no retrieval and no conversation. It needs SAP AI Core, and the backend half needs [@sap-ai-sdk/orchestration](artifact:sap-ai-sdk-orchestration) installed alongside it — an optional peer, so a frontend-only install stays lean.
cap-agent-ui5-webui-samplecap-agent-ui5-webui-sampleA worked example of the cap-agent-ui5-webui plugin, shown running locally, in hybrid mode against SAP AI Core, and deployed.independent, cap
Worked example of the cap-agent-ui5-webui plugin
Neither the package manifest nor the repository tree declares a licence.
Sample CAP Application with SAP Cloud SDK for AISample CAP Application with SAP Cloud SDK for AIA CAP backend-sample and fullstack-sample pair that call SAP AI Core through the SAP Cloud SDK for AI: a capital-of-country question and a templated chat completion.sap official, cap
CAP samples calling SAP AI Core through the SAP Cloud SDK for AI
Every CDS service in both samples is marked `@requires: 'any'` and left publicly accessible, which the README says simplifies the deployment process, and it asks for proper authentication mechanisms to be applied in their place.
ui5-ai-features-demoui5-ai-features-demoA product-review screen on CAP and SAPUI5 that consumes ui5-cap-ai-features and contains no library source at all — written to prove the package is enough on its own.independent, cap
Product-review screen consuming ui5-cap-ai-features on CAP
Neither the package manifest nor the repository tree declares a licence.
🟣 Bring AI into Your ABAP Applications with ISLM: Build, Integrate, and Consume AI Natively🟣 Bring AI into Your ABAP Applications with ISLM: Build, Integrate, and Consume AI NativelyDevtoberfest 2026 session AI-11, from the product manager and product owner of Intelligent Scenario Lifecycle Management: ISLM as the place an AI use case is registered, deployed and operated inside an SAP S/4HANA system, and what has been added to it for generative AI. The demo builds a custom scenario end to end — an intelligent scenario of type generative AI, a connection to SAP AI Core, a GPT-5 mini model, an orchestration flow template that configures data masking, input and output filtering and translation into the user's logged-in language, then prompts with a grounding query over five companies' return-policy documents — and consumes it from an ABAP report through the ABAP AI SDK, which calls the orchestration API and returns the summary as JSON. Two newer pieces follow: SAP RPT, the relational pre-trained transformer for tabular prediction, called with context rows and query rows and answering with a confidence value and no training step; and system-triggered agents, where an application job in the ABAP system starts a billing-creation agent that reaches S/4HANA OData APIs as tools through the agent gateway with principal propagation. The closing availability matrix states the generative AI capabilities for on-premise and private cloud from the 2021 release, with SAP notes to implement on lower ones.SAP Developers, published 2026-09-24
🟣 Enable Your AI application to Run on Multiple Models to Ensure Resilience and Compliance🟣 Enable Your AI application to Run on Multiple Models to Ensure Resilience and ComplianceDevtoberfest 2026 session AI-21. A cross product owner on the SAP AI Core team gives the reasons an AI application ends up on more than one model — a model down at the hyperscaler, a data centre that is not allowed to run it, a version being deprecated — and runs a joke app that answers from Gemini 2.5 Flash in EU10 and from Claude 4.5 Haiku in Asia-Pacific. The walk through AI Core's parts is where the edges hold: prompts kept as templates in the prompt registry, imported through the launchpad and the APIs or synced as YAML from a git repository (Prompt management); the evaluation service scoring one prompt across up to four models per run on built-in or model-as-judge metrics, and the prompt optimizer generating variants against one metric (Agent evals); and the orchestration service harmonising the providers behind one message format with a priority-sorted fallback list (LLM integration). The session also states where a metric has to be designed rather than picked: an exact-JSON match scores an email generator at zero, so the joke app's custom metric judges topic and family-appropriateness instead.SAP Developers, published 2026-10-01
Bring "developers.sap.com" Into Your Dev Environment: SAP Developer Context for AI Coding AgentsBring "developers.sap.com" Into Your Dev Environment: SAP Developer Context for AI Coding AgentsDevtoberfest 2026 session FA-11: a tour of the rebuilt developers.sap.com by the team that runs it, from the administration screens behind the home page to the agent interfaces in front of it. The site is a CAP application on SAP HANA Cloud and SAP BTP, open-sourced in full, and the half of the session that places it here is how its content reaches an agent: every tutorial is also served as markdown, a coding agent is detected and given that version instead of the HTML, a well-known agent card advertises what the site offers, and SAP Developers MCP answers questions about tutorials, news and a reader's own completion history in Claude Code and Joule Desktop, over OAuth or a personal access token. Behind the answers sit two things working together: a knowledge graph in the HANA database over 1400 tutorials and 11,000 concepts, and SAP AI Core for the Joule interactions and the embeddings, with the agent harness written for the site rather than taken off a shelf. Where neither MCP nor A2A is available, the same content is published as skills.SAP Developers, published 2026-09-25
Building Agentic Workflows with n8n in Joule StudioBuilding Agentic Workflows with n8n in Joule StudioA Devtoberfest 2026 session, JS-31, on SAP-managed n8n inside Joule Studio, shown as a labs preview on a blocked-invoice scenario: a solution made of assets, an intent refined by the web agent into requirements and then a specification, and the generated workflow opened in the n8n editor that Joule Studio connects to its own n8n tenant, with the generated files committed through GitHub. The nodes carry the other edges — the human-in-the-loop node is built on SAP Task Center, and SAP AI Core is where model providers are configured centrally instead of per developer. It ends in Joule chat, where the approval task the workflow created is listed, opened and completed.SAP Developers, published 2026-10-08
Building Code-Based AI Agents on the BAIPBuilding Code-Based AI Agents on the BAIPA Devtoberfest 2026 session on writing the agent yourself rather than configuring one, which is the agent tooling edge: an agent is a model with tools, skills, memory and context around it, and the session reads the code of one built in CAP as a LangGraph state graph, with an agent node that calls the model, a tools node holding the MCP clients, and the edge between them looping until no tool is needed. It then shows the shorter route, a CDS service annotated for the agent protocol with its instructions and skills in an agent.md file. SAP AI Core carries both, with the CAP service in front of it as middleware so the credentials never reach the browser, and that is what cap-agent-ui5-webui is demonstrated against: added as a dependency, it gives the annotated service a UI5 chat interface that can be deployed rather than only previewed. A Python multi-agent application on Cloud Foundry, where an orchestrator delegates to per-stack specialists so no single model sees every tool, closes the session.published 2026-10-09
CAP in the age of AI #3 - from MCP to A2ACAP in the age of AI #3 - from MCP to A2AThe episode that finishes @cap-js/mcp with authorisation and then crosses to agents. @requires and @restrict are the same annotations CAP already has, and the plugin reads them to filter the tool list and the describe output per user and per request, so a model is not told about entities the caller cannot reach — where the OData metadata of the same service lists every exposed entity regardless. The second half annotates a service with @agent from @cap-js/agents, which serves it over A2A with an agent card and a chat preview, runs first against a mocked response and then against SAP AI Core bound with cds bind and a hybrid profile, and reuses the MCP adapter's tools rather than defining new ones.published 2026-08-21
CAP in the age of AI #5 - agents wrap-upCAP in the age of AI #5 - agents wrap-upThe agents topic closed out on what sits around the agent rather than inside it, now that the documentation has moved into capire. The chat preview's session is persisted in the database rather than kept in memory, traces go out through @cap-js/telemetry to a self-hosted MLflow under the OpenTelemetry conventions for generative AI, and the panel is explicit that @agent reuses the MCP adapter's code programmatically without serving an MCP endpoint. It ends in the xtravels sample, where a travel agent delegates to a hotel-service sub-agent and reaches a separately started flight service over MCP through the service binding CAP resolves anyway. Earlier in the hour the same agent answers from a model running on the presenter's laptop, reached as an OpenAI-compatible endpoint.published 2026-10-02
CAP in the age of AI #6 - vector embeddingsCAP in the age of AI #6 - vector embeddingsVector embeddings put to work in the incident management sample, answering whether this problem has been seen before. An embedding element of type Vector is calculated and stored from the vector_embedding function, so the database refreshes it whenever the text behind it changes, and cosine_similarity compares it with a freshly embedded string; because a title says little, a scheduled action first summarises each incident's conversation through a model on SAP AI Core and the embedding is taken from that summary. The similar-incidents list is a view joining incidents to themselves, with order and limit set in a before handler on the expanded query, and the vector element excluded from the service, since OData knows nothing about vectors — on SAP HANA Cloud the function is native, while SQLite needs packages added to the project.published 2026-10-09
CAP in the age of AI #7 - vector embeddings wrap-upCAP in the age of AI #7 - vector embeddings wrap-upThe same embeddings model taken from SQLite to SAP HANA Cloud, then handed to an agent. Locally it is @cap-js/ai that adds the vector functions SQLite lacks and downloads an all-MiniLM L6v2 ONNX model on first start; on HANA natural language processing has to be switched on, the model name is a mandatory argument, the vectors it returns are 768 dimensions, and dimensions must match on both sides of a comparison. HANA itself can be given SAP AI Core as a remote source for other embedding models, which a CDS.ql expression has to inject because the postfix notation only takes what the CDS model holds, and the hour ends with a search function over cosine similarity exposed over @cap-js/mcp, so an agent asked about low output from solar panels calls semantic search instead of writing the query itself.published 2026-10-16
CAP: The Road Ahead - Simplicity in an AI EraCAP: The Road Ahead - Simplicity in an AI EraDevtoberfest 2026 session CAP10, from the head of SAP's Cloud Application Programming Model: forty minutes of live building rather than slides, on the argument that the cheapest code in an AI project is code nobody has to generate. Claude Code builds an invoice-matching workspace from cds init onwards, and each step is one the framework answers rather than the agent: a 42-line domain model that @sap/cds serves as OData and Fiori elements with a status flow, data privacy and change-tracking annotations that produce audit log entries in the console and would reach the SAP Audit Log service once deployed, an imported S/4HANA supplier data product, and semantic matching from a local embedding model after @cap-js/ai is added. The last three steps are annotations: @mcp beside @odata turns the service into an MCP server that a second Claude session queries through @cap-js/mcp, an agent annotation adds the A2A protocol with an agent card and an audit log entry for the agent task, and a skill file gives the agent the matching policy.SAP Developers, published 2026-09-25
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.
Unlocking Tabular Foundation Models: From Experimentation to ProductionUnlocking Tabular Foundation Models: From Experimentation to ProductionA Devtoberfest 2026 session (AI-41) on taking tabular prediction from a playground to a deployment. It sets tabular foundation models against a model trained per use case and against language models reading rows as text, explains in-context learning as examples plus the rows whose target column is missing, and tries SAP RPT 1.6 on a train-delay dataset in the RPT playground, including the column and row importance it returns with the prediction. The same prediction is then rebuilt on SAP AI Core, where the tabular orchestration service plays the part the orchestration service plays for language models: a data destination, a table artifact with its CSN schema and a scenario configuration registered once at design time, after which a predict call passes only the query rows, the scenario configuration and a context-selection strategy. The last demo runs those same calls in natural language through the aicore-skills plugin in a coding agent, and one of them only resolves once the agent is told which scenario configuration to use.SAP Developers, published 2026-10-15
What an AI infra engineer sees when opening SAP's AI stack (1/3): the model gatewayWhat an AI infra engineer sees when opening SAP's AI stack (1/3): the model gatewayA first look at SAP AI Core's Generative AI Hub from someone who builds gateways outside SAP for a living: the orchestration service harmonizes provider calls onto one API (a model name string switches providers, and SAP Note 3437766 carries the current model list, token rates and deprecation dates), runs a fixed, non-reorderable module pipeline — templating, masking through SAP Data Privacy Integration, grounding, content filtering, then the model call — and retries down an ordered fallback list whose entries can each carry their own model and rules. It places @sap-ai-sdk/orchestration among the official JavaScript, Java and Python SDKs, and notes SAP's own LiteLLM provider as a way to put a different gateway in front of it.amishkush, published 2026-09-30
Prompt managementCommunity only
@saptarishi/cds-plugin-llm@saptarishi/cds-plugin-llmA CAP service kind that puts eleven model providers behind one chat, stream, embed and batch interface, so which backend a service calls is a profile in package.json rather than a change to the handler.independent, cap
CAP service kind putting eleven model providers behind one API
SAP BTP AI Best Practice Demo - Prompt Registry - CAPSAP BTP AI Best Practice Demo - Prompt Registry - CAPA CAP backend-sample and fullstack-sample that create, use and delete a template in SAP AI Core's Prompt Registry instead of embedding the prompt in code.sap official, cap
CAP samples using SAP AI Core's Prompt Registry for templates
Every CDS service in both samples is marked `@requires: 'any'` and left publicly accessible, which the README says simplifies the testing and deployment process, and it asks for proper authentication mechanisms to be applied in their place.
SAP BTP AI Best Practice Demo - Prompt Templating - CAPSAP BTP AI Best Practice Demo - Prompt Templating - CAPA CAP backend-sample and fullstack-sample that fill a country placeholder in a prompt template through the SAP Cloud SDK for AI and send it to SAP AI Core.sap official, cap
CAP samples filling a prompt template sent to SAP AI Core
Every CDS service in both samples is marked `@requires: 'any'` and left publicly accessible, which the README says simplifies the testing and deployment process, and it asks for proper authentication mechanisms to be applied in their place.
RAG on CDSSAP and community
@cap-js/ai@cap-js/aiOut-of-the-box value-help recommendations powered by SAP RPT-1, SAP AI Core as a standard CAP service, and an experimental local embedding model behind SQLite's vector functions.sap official, cap
Value-help recommendations and SAP AI Core as a CAP service
@mi8y/cap-agents-aicore-vectorstore@mi8y/cap-agents-aicore-vectorstoreA LangChain vector store backed by SAP AI Core Document Grounding: the collection holds the documents and makes the embeddings, and the CAP application stores no vectors of its own.independent, cap
LangChain vector store on SAP AI Core Document Grounding
@mi8y/cap-agents-cds-vectorstore@mi8y/cap-agents-cds-vectorstoreA LangChain vector store whose documents and embeddings are CDS entities, so retrieval runs as a CDS query against the database the CAP service is already bound to.independent, cap
LangChain vector store with CDS entities for embeddings
@sap/cds@sap/cdsThe CAP Node.js runtime, which compiles the CDS model, serves the services declared in it, answers generic requests before any handler runs, and loads every cds-plugin.sap official, cap
CAP Node.js runtime
@saptarishi/cds-plugin-llm@saptarishi/cds-plugin-llmA CAP service kind that puts eleven model providers behind one chat, stream, embed and batch interface, so which backend a service calls is a profile in package.json rather than a change to the handler.independent, cap
CAP service kind putting eleven model providers behind one API
@saptarishi/cds-plugin-vector-hana@saptarishi/cds-plugin-vector-hanaVector storage and similarity search on SAP HANA from CAP, packaged as a plugin so the embedding column and the query are modelled rather than hand-written.independent, cap
Vector storage and similarity search on SAP HANA from CAP
SAP BTP AI Best Practice Demo - Vector Embedding (RAG) - CAPSAP BTP AI Best Practice Demo - Vector Embedding (RAG) - CAPA CAP backend-sample and fullstack-sample that parse an uploaded CSV of science data, embed each row through SAP AI Core and store the vectors in SAP HANA Cloud's vector store.sap official, cap
CAP samples embedding CSV rows into the SAP HANA Cloud vector store
Every CDS service in both samples is marked `@requires: 'any'` and left publicly accessible, which the README says simplifies the testing and deployment process, and it asks for proper authentication mechanisms to be applied in their place.
SAP BTP AI Best Practice Demo - Vector Query (RAG) - CAPSAP BTP AI Best Practice Demo - Vector Query (RAG) - CAPA CAP backend-sample and fullstack-sample that run a similarity query over the vectors in SAP HANA Cloud and pass the closest science-data rows to the model as context.sap official, cap
CAP samples running RAG similarity queries over SAP HANA Cloud vectors
Every CDS service in both samples is marked `@requires: 'any'` and left publicly accessible, which the README says simplifies the testing and deployment process, and it asks for proper authentication mechanisms to be applied in their place.
CAP in the age of AICAP in the age of AISeven live episodes of Hands-on SAP Dev in which DJ Adams works through CAP's AI features with the people who build them, each one a screen-share against a sample project. The first three are @cap-js/mcp: the @mcp annotation on a service, the describe, query and call tools, CQL as the query format, and what authorisation takes out of the tool list. From episode three the run moves to A2A and @cap-js/agents — human approval of an action, agents.md and skills, session persistence, telemetry and sub-agents — and the last two episodes are vector embeddings in CDS, local on SQLite and native on SAP HANA Cloud.published 2026-08-07
CAP in the age of AI #6 - vector embeddingsCAP in the age of AI #6 - vector embeddingsVector embeddings put to work in the incident management sample, answering whether this problem has been seen before. An embedding element of type Vector is calculated and stored from the vector_embedding function, so the database refreshes it whenever the text behind it changes, and cosine_similarity compares it with a freshly embedded string; because a title says little, a scheduled action first summarises each incident's conversation through a model on SAP AI Core and the embedding is taken from that summary. The similar-incidents list is a view joining incidents to themselves, with order and limit set in a before handler on the expanded query, and the vector element excluded from the service, since OData knows nothing about vectors — on SAP HANA Cloud the function is native, while SQLite needs packages added to the project.published 2026-10-09
CAP in the age of AI #7 - vector embeddings wrap-upCAP in the age of AI #7 - vector embeddings wrap-upThe same embeddings model taken from SQLite to SAP HANA Cloud, then handed to an agent. Locally it is @cap-js/ai that adds the vector functions SQLite lacks and downloads an all-MiniLM L6v2 ONNX model on first start; on HANA natural language processing has to be switched on, the model name is a mandatory argument, the vectors it returns are 768 dimensions, and dimensions must match on both sides of a comparison. HANA itself can be given SAP AI Core as a remote source for other embedding models, which a CDS.ql expression has to inject because the postfix notation only takes what the CDS model holds, and the hour ends with a search function over cosine similarity exposed over @cap-js/mcp, so an agent asked about low output from solar panels calls semantic search instead of writing the query itself.published 2026-10-16
Tool governanceCommunity only
cds-agentscds-agentsTurns a CAP service into a tool layer for agent frameworks — a CAPToolkit bound to a named service, with a tool strategy controlling how much of it becomes callable.independent, cap
Toolkit turning a CAP service into tools for agent frameworks
MCP Servers are the New Z-TablesMCP Servers are the New Z-TablesA single CAP service exposed as three overlapping MCP servers tools, queried by the same prompt nineteen times, returned the same tool every time — evidence, the author argues, that tool selection rests on the resemblance between a prompt and a tool's description rather than on any binding a where-used list could enumerate before retiring it. It contrasts that setup with @cap-js/mcp, which exposes a whole service as three generic tools instead of one per operation, and quotes the adapter's own beta documentation admitting no rate limiting, audit logging, input validation or approval workflow, and no use as a gateway to SAP Application APIs. From there it names four small Tool governance practices it has adopted: an owner recorded in the tool's own metadata, logging every invocation, deprecating inside the description, and exposing fewer tools.published 2026-08-21
Audit loggingSAP only
@cap-js/audit-logging@cap-js/audit-loggingIntegration with the SAP Audit Log service, so operations on personal data are recorded in the form an auditor expects without the application writing the entries.sap official, cap
CAP integration with the SAP Audit Log service
SAP-samples/btp-secure-developmentSAP-samples/btp-secure-developmentA hands-on OWASP Top 10 workshop that exploits and then fixes security flaws in a CAP Node.js application, covering broken access control, SQL injection and audit logging for sensitive data.sap official, cap
OWASP Top 10 workshop exploiting and fixing flaws in a CAP Node.js app
teched2025-XP260teched2025-XP260An SAP TechEd 2025 workshop on embedding security into CAP applications on SAP BTP, worked through three of the OWASP Top 10 risks: broken access control, SQL injection and logging failures.sap official, cap
TechEd 2025 workshop on OWASP Top 10 risks in CAP applications
CAP: The Road Ahead - Simplicity in an AI EraCAP: The Road Ahead - Simplicity in an AI EraDevtoberfest 2026 session CAP10, from the head of SAP's Cloud Application Programming Model: forty minutes of live building rather than slides, on the argument that the cheapest code in an AI project is code nobody has to generate. Claude Code builds an invoice-matching workspace from cds init onwards, and each step is one the framework answers rather than the agent: a 42-line domain model that @sap/cds serves as OData and Fiori elements with a status flow, data privacy and change-tracking annotations that produce audit log entries in the console and would reach the SAP Audit Log service once deployed, an imported S/4HANA supplier data product, and semantic matching from a local embedding model after @cap-js/ai is added. The last three steps are annotations: @mcp beside @odata turns the service into an MCP server that a second Claude session queries through @cap-js/mcp, an agent annotation adds the A2A protocol with an agent card and an audit log entry for the agent task, and a skill file gives the agent the matching policy.SAP Developers, published 2026-09-25
AuthenticationSAP and community
@sap/cds@sap/cdsThe CAP Node.js runtime, which compiles the CDS model, serves the services declared in it, answers generic requests before any handler runs, and loads every cds-plugin.sap official, cap
CAP Node.js runtime
@sap/xssec@sap/xssecToken validation and security context for XSUAA and IAS.sap official, cap
Token validation and security context for XSUAA and IAS
AuthorizationSAP and community
@sap/ams@sap/amsDecides what a signed-in user may do in a Node.js application that authenticates through SAP Cloud Identity Services, from policies written in DCL.sap official, cap
Authorization from DCL policies for Node.js apps on SAP Cloud Identity
@sap/cds@sap/cdsThe CAP Node.js runtime, which compiles the CDS model, serves the services declared in it, answers generic requests before any handler runs, and loads every cds-plugin.sap official, cap
CAP Node.js runtime
SAP-samples/btp-secure-developmentSAP-samples/btp-secure-developmentA hands-on OWASP Top 10 workshop that exploits and then fixes security flaws in a CAP Node.js application, covering broken access control, SQL injection and audit logging for sensitive data.sap official, cap
OWASP Top 10 workshop exploiting and fixing flaws in a CAP Node.js app
SAP-samples/e-mobility-driver-appSAP-samples/e-mobility-driver-appA CAP-based progressive web app that lets electric-vehicle drivers manage charging badges, start and stop charging sessions, and find stations, proxying three SAP E-Mobility OData APIs.sap official, cap
CAP-based PWA for EV drivers proxying SAP E-Mobility OData APIs
teched2025-XP260teched2025-XP260An SAP TechEd 2025 workshop on embedding security into CAP applications on SAP BTP, worked through three of the OWASP Top 10 risks: broken access control, SQL injection and logging failures.sap official, cap
TechEd 2025 workshop on OWASP Top 10 risks in CAP applications
Change trackingSAP and community
@cap-js/change-tracking@cap-js/change-trackingOut-of-the-box change history for annotated entities.sap official, cap
Change history for annotated CAP entities
CAP: The Road Ahead - Simplicity in an AI EraCAP: The Road Ahead - Simplicity in an AI EraDevtoberfest 2026 session CAP10, from the head of SAP's Cloud Application Programming Model: forty minutes of live building rather than slides, on the argument that the cheapest code in an AI project is code nobody has to generate. Claude Code builds an invoice-matching workspace from cds init onwards, and each step is one the framework answers rather than the agent: a 42-line domain model that @sap/cds serves as OData and Fiori elements with a status flow, data privacy and change-tracking annotations that produce audit log entries in the console and would reach the SAP Audit Log service once deployed, an imported S/4HANA supplier data product, and semantic matching from a local embedding model after @cap-js/ai is added. The last three steps are annotations: @mcp beside @odata turns the service into an MCP server that a second Claude session queries through @cap-js/mcp, an agent annotation adds the A2A protocol with an agent card and an audit log entry for the agent task, and a skill file gives the agent the matching policy.SAP Developers, published 2026-09-25
Data privacySAP only
@cap-js/data-privacy@cap-js/data-privacyIntegration with SAP Data Privacy Integration, driven by the personal-data annotations already on the model — the annotation that marks a field is the one the service acts on.sap official, cap
CAP integration with SAP Data Privacy Integration
@sap/cds@sap/cdsThe CAP Node.js runtime, which compiles the CDS model, serves the services declared in it, answers generic requests before any handler runs, and loads every cds-plugin.sap official, cap
CAP Node.js runtime
Input validationSAP and community
@sap/cds@sap/cdsThe CAP Node.js runtime, which compiles the CDS model, serves the services declared in it, answers generic requests before any handler runs, and loads every cds-plugin.sap official, cap
CAP Node.js runtime
Malware scanningSAP only
CAP Foundry: Engineering SAP CAP Applications from Business Intent with Guardrailed AICAP Foundry: Engineering SAP CAP Applications from Business Intent with Guardrailed AICAP Foundry is a prototype that generates a CAP Node.js project with SAP Fiori elements from a written business requirement, discovering the actual data shape from a chosen source — SQLite, a configured SAP HANA HDI container, offline EDMX, live OData through the SAP Destination service, or approved SAP BTP ABAP objects — instead of inventing one. The generated application can carry a Fiori draft lifecycle with optimistic concurrency via ETags and annotation-driven Fiori elements list and object screens, localized independently of the underlying service contract. Attachments can be added with upload, download and delete, gated on a malware-scan status, and the generated project still has to compile, build and pass its generated tests before the run is accepted.Shahid, published 2026-08-20
Rate limitingCommunity only
@cap-js-community/common@cap-js-community/commonSix independent features for CAP services in one package: replication cache, migration check, rate limiting, a Redis client broker, a local HTML5 repository and a CDM builder.community org, cap
Six CAP features in one package, from replication cache to rate limits
It is a bundle, not a plugin with one job. Depending on it for one feature brings the rest.
🔴 Your Agent Wants to Call SAP. Now What?🔴 Your Agent Wants to Call SAP. Now What?Devtoberfest 2026 session INT-23, on what belongs between an agent and an SAP system. A solution advisor and an enterprise architect point Joule Desktop extensions at MCP servers built on API Management inside SAP Integration Suite, and ask it for business partners, orders and line items from an S/4HANA demo system; asked for the ten largest customers it answers from a sample of 200 orders rather than reading the whole table. They then open the API proxy behind it, where a spike arrest policy caps the backend at ten calls per second and the MCP server is configured to expose only the GET resources of the business-partner API so that an agent cannot create one, which is where the edges to Serve your application over MCP and Rate limiting hold. For totals across all sales orders they send the agent to SAP Business Data Cloud instead of the transactional system, since it aggregates and is read-only, and back through Integration Suite for writes such as journal entries.SAP Developers, published 2026-09-30
Powering Enterprise-Ready Agentic AI with SAP Integration SuitePowering Enterprise-Ready Agentic AI with SAP Integration SuiteA Devtoberfest 2026 session (INT-31) from SAP Integration Suite product management on the MCP gateway. The demo creates an MCP server in a design package from an API already deployed on the tenant, exposes two of its 300-odd resources as tools, attaches authentication and quota policies on a policies tab, and publishes the deployed endpoint as an AI product in Developer Hub of API Management, where an agent subscribes and receives a token, URL, key and secret; the calls then show up in monitoring, in message processing logs and in the analytics dashboard, which is the MCP exposure and the tool governance the edges rest on. Three AI features inside Cloud Integration follow: a content migration agent that converts a PI/PO Java mapping into a Groovy script and generates a second integration flow for its lookup, memory profiling during a flow simulation, and root-cause analysis on a failed message processing log.SAP Developers, published 2026-10-07
Change promotionSAP only
git-env-branchesgit-env-branchesA command line that shows, for a list of feature branches, which environment branches such as DEV, ACC and master each one has been merged into.independent, general
Shows which feature branches reached which environment branch
A team that does not keep one long-lived branch per environment has no environment branches for it to compare feature branches against. What it reports is the merge state of branches in Git, so it says nothing about whether a merged change has been built or deployed to the environment.
ConfigurationSAP only
@sap/cds@sap/cdsThe CAP Node.js runtime, which compiles the CDS model, serves the services declared in it, answers generic requests before any handler runs, and loads every cds-plugin.sap official, cap
CAP Node.js runtime
CAP: The Road Ahead - Simplicity in an AI EraCAP: The Road Ahead - Simplicity in an AI EraDevtoberfest 2026 session CAP10, from the head of SAP's Cloud Application Programming Model: forty minutes of live building rather than slides, on the argument that the cheapest code in an AI project is code nobody has to generate. Claude Code builds an invoice-matching workspace from cds init onwards, and each step is one the framework answers rather than the agent: a 42-line domain model that @sap/cds serves as OData and Fiori elements with a status flow, data privacy and change-tracking annotations that produce audit log entries in the console and would reach the SAP Audit Log service once deployed, an imported S/4HANA supplier data product, and semantic matching from a local embedding model after @cap-js/ai is added. The last three steps are annotations: @mcp beside @odata turns the service into an MCP server that a second Claude session queries through @cap-js/mcp, an agent annotation adds the A2A protocol with an agent card and an audit log entry for the agent task, and a skill file gives the agent the matching policy.SAP Developers, published 2026-09-25
DeploymentSAP and community
@cap-js/cap-operator-plugin@cap-js/cap-operator-pluginGenerates Helm charts for deploying CAP applications with the CAP Operator on Kubernetes.sap official, cap
Generates Helm charts for the CAP Operator on Kubernetes
@sap/cds-dk@sap/cds-dkThe command line client and development toolkit for CAP projects, with the commands cds build, cds deploy, cds watch and cds add among them.sap official, cap
Command line client and development toolkit for CAP
Feature togglesSAP and community
@cap-js-community/feature-toggle-library@cap-js-community/feature-toggle-libraryLive-updatable feature toggles for CAP applications, backed by Redis.community org, cap
Live-updatable feature toggles for CAP, backed by Redis
@sap/cds-mtxs@sap/cds-mtxsMultitenancy, tenant provisioning and model extensibility for CAP.sap official, cap
Multitenancy, tenant provisioning and extensibility for CAP
Health checksSAP only
@sap/cds@sap/cdsThe CAP Node.js runtime, which compiles the CDS model, serves the services declared in it, answers generic requests before any handler runs, and loads every cds-plugin.sap official, cap
CAP Node.js runtime
Job schedulingSAP and community
@cap-js-community/event-queue@cap-js-community/event-queueTransactional processing of asynchronous and periodic events, with instant dispatch over Redis Pub/Sub and load spread across every application instance.community org, cap
Transactional processing of asynchronous and periodic CAP events
If you need sub-second fan-out to external consumers this is the wrong layer — reach for [Event Mesh](artifact:btp-event-mesh) or Kafka. Without [Redis](external:redis), periodic processing still works but instant dispatch degrades to polling.
@sap/cds@sap/cdsThe CAP Node.js runtime, which compiles the CDS model, serves the services declared in it, answers generic requests before any handler runs, and loads every cds-plugin.sap official, cap
CAP Node.js runtime
LoggingSAP only
@cap-js/audit-logging@cap-js/audit-loggingIntegration with the SAP Audit Log service, so operations on personal data are recorded in the form an auditor expects without the application writing the entries.sap official, cap
CAP integration with the SAP Audit Log service
MultitenancySAP and community
@cap-js-community/mtx-tool@cap-js-community/mtx-toolCLI for operating multitenant CAP applications — inspecting, upgrading and repairing tenants across a landscape.community org, cap
CLI for operating tenants of multitenant CAP applications
@sap/cds@sap/cdsThe CAP Node.js runtime, which compiles the CDS model, serves the services declared in it, answers generic requests before any handler runs, and loads every cds-plugin.sap official, cap
CAP Node.js runtime
@sap/cds-mtxs@sap/cds-mtxsMultitenancy, tenant provisioning and model extensibility for CAP.sap official, cap
Multitenancy, tenant provisioning and extensibility for CAP
@sap/cds-oyster@sap/cds-oysterRuns tenant-specific extension code inside a WebAssembly sandbox, so a SaaS application can accept custom logic from a customer without running it unguarded.sap official, cap
WebAssembly sandbox for tenant-specific extension code in CAP
Custom Business Logic Extensibility in CAP (CDS-Oyster)Custom Business Logic Extensibility in CAP (CDS-Oyster)A Devtoberfest 2026 session walking @sap/cds-oyster — at version 0.55, with 1.0 stated for Q4 — end to end on a multitenant xtravels, from the application developer's side and the extension developer's side. The application developer adds a submit-for-review action to the status flow and opens exactly one surface for custom code: a separate extension service marked as extensible code, holding a no-op validate action and two read-only helper entities, which the host application calls before the status change; nothing else is extensible, because the annotation defaults to false. The extension developer works in a project whose base model came from cds pull, with test data, a server.js and types from @cap-js/cds-typer added so the UI and code completion work, debugs the handler locally and pushes it as an @sap/cds-mtxs extension, after which the next request rejects a travel over the policy limit without a restart — the code having been stored as an annotation in the tenant's model and run in a Rust WebAssembly sandbox with no database connection, whose queries go back to the CAP runtime as CQL strings, which is tenant extensibility extended from fields to logic.published 2026-10-09
TelemetrySAP and community
@cap-js-community/business-metrics@cap-js-community/business-metricsAn extension of @cap-js/telemetry that turns two CDS annotations into business metrics, a counter on an entity event or action and a gauge on numeric fields.community org, cap
Business-level metrics from CDS annotations via @cap-js/telemetry
@cap-js/telemetry@cap-js/telemetryAutomatic OpenTelemetry instrumentation for CAP Node.js services and their database calls, exported as traces and metrics to the console, SAP Cloud Logging, Dynatrace, Jaeger or an OTLP endpoint.sap official, cap
OpenTelemetry instrumentation for CAP services
cap-mcp-guardcap-mcp-guardA CDS plugin — the trust layer for AI agents accessing SAP CAP business data — request interception, policy enforcement, field masking/pseudonymization, and OpenTelemetry-native observability for MCP-enabled applications.independent, cap
Policy enforcement and field masking for MCP-enabled CAP apps
cds-cachingcds-cachingA caching plugin for CAP covering queries, requests, function results and remote service responses, through a read-through API or @cache annotations, with HCQL and MCP support.independent, cap
CAP caching plugin for query results and remote service responses
When user-dependent responses are cached without user-aware or explicit operation keys, or translated responses share keys across locales. These cases require key isolation; locale-aware keys are off by default.
CAP in the age of AI #5 - agents wrap-upCAP in the age of AI #5 - agents wrap-upThe agents topic closed out on what sits around the agent rather than inside it, now that the documentation has moved into capire. The chat preview's session is persisted in the database rather than kept in memory, traces go out through @cap-js/telemetry to a self-hosted MLflow under the OpenTelemetry conventions for generative AI, and the panel is explicit that @agent reuses the MCP adapter's code programmatically without serving an MCP endpoint. It ends in the xtravels sample, where a travel agent delegates to a hotel-service sub-agent and reaches a separately started flight service over MCP through the service binding CAP resolves anyway. Earlier in the hour the same agent answers from a model running on the presenter's laptop, reached as an OpenAI-compatible endpoint.published 2026-10-02
Tenant extensibilitySAP and community
@sap/cds-mtxs@sap/cds-mtxsMultitenancy, tenant provisioning and model extensibility for CAP.sap official, cap
Multitenancy, tenant provisioning and extensibility for CAP
Custom Business Logic Extensibility in CAP (CDS-Oyster)Custom Business Logic Extensibility in CAP (CDS-Oyster)A Devtoberfest 2026 session walking @sap/cds-oyster — at version 0.55, with 1.0 stated for Q4 — end to end on a multitenant xtravels, from the application developer's side and the extension developer's side. The application developer adds a submit-for-review action to the status flow and opens exactly one surface for custom code: a separate extension service marked as extensible code, holding a no-op validate action and two read-only helper entities, which the host application calls before the status change; nothing else is extensible, because the annotation defaults to false. The extension developer works in a project whose base model came from cds pull, with test data, a server.js and types from @cap-js/cds-typer added so the UI and code completion work, debugs the handler locally and pushes it as an @sap/cds-mtxs extension, after which the next request rejects a travel over the policy limit without a restart — the code having been stored as an annotation in the tenant's model and run in a Rust WebAssembly sandbox with no database connection, whose queries go back to the CAP runtime as CQL strings, which is tenant extensibility extended from fields to logic.published 2026-10-09
CI/CD pipelinesSAP only
@sap/cds-dk@sap/cds-dkThe command line client and development toolkit for CAP projects, with the commands cds build, cds deploy, cds watch and cds add among them.sap official, cap
Command line client and development toolkit for CAP
DebuggingSAP and community
@cap-js/console@cap-js/consoleConnects a running CAP application to the CAP console.sap official, cap
Connects a running CAP application to the CAP console
@cap-js/data-inspector@cap-js/data-inspectorInspects database entities and their contents at the CAP service level.sap official, cap
Inspects database entities and contents at CAP service level
@sap/cds-dk@sap/cds-dkThe command line client and development toolkit for CAP projects, with the commands cds build, cds deploy, cds watch and cds add among them.sap official, cap
Command line client and development toolkit for CAP
@saptools/cf-request-runner@saptools/cf-request-runnerDiscovers every API endpoint of a CAP service already deployed to Cloud Foundry by walking its service documents, $metadata and endpoints catalog — falling back to container SSH to parse .cds files.independent, cap
Endpoint discovery for CAP services deployed to Cloud Foundry
@saptools/service-flow@saptools/service-flowTraces one CAP operation end to end across several repositories without running anything — handlers, helper packages, local database access, remote OData calls, external HTTP and async channels.independent, cap
Static end-to-end tracer of one CAP operation across repositories
Editor supportSAP and community
@sap/ux-cds-odata-language-server-extension@sap/ux-cds-odata-language-server-extensionAdds the OData annotation features to @sap/vscode-cds, the CDS plug-in for Visual Studio Code: completion, micro-snippets, diagnostics, vocabulary documentation, Go to Definition and an i18n check inside a .cds file.sap official, cap
OData annotation features for the @sap/vscode-cds extension
@saptools/hana-lens@saptools/hana-lensCompiles every CAP package in a workspace into one minified CSN cache, so "where is this entity and what columns does it have" is a query rather than a monorepo load.independent, cap
Workspace-wide CSN cache for querying CAP entities and columns
GeneratorsSAP and community
@cap-handler/generator@cap-handler/generatorInteractive generator for CAP event handlers: reads the model through the reflection API, asks which service, target and phase, then writes the handler file and wires the import and registration into the service implementation.independent, cap
Interactive generator for CAP event handler files
@khalidmh/capx@khalidmh/capxAn opinionated installer for CAP Node.js projects — asks a short set of questions, runs cds init, adds the chosen facets, then writes the configuration and starter files that make those choices work together.independent, cap
Interactive project installer for CAP Node.js
@sap-ux/create@sap-ux/createSAP Fiori tools as a command: npx @sap-ux/create changes the features of a Fiori project that already exists, through its add, generate, convert, remove, update and change subcommands.sap official, ui5
Command line for changing features of an existing Fiori project
@sap-ux/fe-fpm-writer@sap-ux/fe-fpm-writerA library that writes flexible programming model elements, such as a custom page wired into the app's routing, into a Fiori elements application for OData v4 from Node code.sap official, ui5
Writer of flexible programming model elements into Fiori elements apps
@sap-ux/odata-service-writer@sap-ux/odata-service-writerA library that adds an OData service to a UI5 project that already exists, writing the file updates from a config object naming the service url, its OData version and a destination.sap official, ui5
Writer that adds an OData service to an existing UI5 project
@sap/cds-dk@sap/cds-dkThe command line client and development toolkit for CAP projects, with the commands cds build, cds deploy, cds watch and cds add among them.sap official, cap
Command line client and development toolkit for CAP
CAP in the age of AI #7 - vector embeddings wrap-upCAP in the age of AI #7 - vector embeddings wrap-upThe same embeddings model taken from SQLite to SAP HANA Cloud, then handed to an agent. Locally it is @cap-js/ai that adds the vector functions SQLite lacks and downloads an all-MiniLM L6v2 ONNX model on first start; on HANA natural language processing has to be switched on, the model name is a mandatory argument, the vectors it returns are 768 dimensions, and dimensions must match on both sides of a comparison. HANA itself can be given SAP AI Core as a remote source for other embedding models, which a CDS.ql expression has to inject because the postfix notation only takes what the CDS model holds, and the hour ends with a search function over cosine similarity exposed over @cap-js/mcp, so an agent asked about low output from solar panels calls semantic search instead of writing the query itself.published 2026-10-16
LintingCommunity only
@cbs-consulting/tools@cbs-consulting/toolsShared ESLint configuration for SAPUI5 and CAP projects, the config rather than the rules, so a team adopts a house style by adding one dependency.independent, cap
Shared ESLint configuration for SAPUI5 and CAP projects
Local developmentSAP and community
@cap-js-community/common@cap-js-community/commonSix independent features for CAP services in one package: replication cache, migration check, rate limiting, a Redis client broker, a local HTML5 repository and a CDM builder.community org, cap
Six CAP features in one package, from replication cache to rate limits
It is a bundle, not a plugin with one job. Depending on it for one feature brings the rest.
@sang2x/captools@sang2x/captoolsA CLI of eight CAP development commands aimed at Cloud Foundry workflows, shipped without a repository or README, whose binding step writes resolved VCAP_SERVICES into default-env.json.independent, cap
CLI of CAP development tools for Cloud Foundry workflows
There is no repository and no README: what the eight commands do is only readable from the compiled dist that ships in the package. Three of them — npmrc, install, project — are written for "SimpleMDG" projects rather than for CAP generally, so the reusable part is bind-local, run-local and debug. Seven releases up to July 2026. Its binding step writes the resolved VCAP_SERVICES into default-env.json in the project, where [@sap/cds-dk](artifact:sap-cds-dk) keeps only the place the credentials can be fetched from, so a project using it needs that file kept out of version control.
@sap/cds@sap/cdsThe CAP Node.js runtime, which compiles the CDS model, serves the services declared in it, answers generic requests before any handler runs, and loads every cds-plugin.sap official, cap
CAP Node.js runtime
@sap/cds-dk@sap/cds-dkThe command line client and development toolkit for CAP projects, with the commands cds build, cds deploy, cds watch and cds add among them.sap official, cap
Command line client and development toolkit for CAP
vite-plugin-cdsvite-plugin-cdsA CAP plugin that serves a Vite app from the app folder through cds watch, makes .cds files importable into the frontend build, and can polyfill enough of Node to run @sap/cds in the browser.independent, cap
Serves a Vite app through cds watch and imports .cds files
cap-nodejs-dev-envcap-nodejs-dev-envA development container definition for CAP Node.js with @sap/cds-dk and the Cloud Foundry CLI, for use with VS Code's Dev Containers extension or GitHub Codespaces.sap official, cap
Development container definition for CAP Node.js
forsap-s4hana-private-simulatorforsap-s4hana-private-simulatorA CAP project standing in for S/4HANA Private Edition OData APIs on localhost, serving API_BUSINESS_PARTNER's A_Supplier entity over OData V4 and, through an adapter, V2.independent, cap
CAP project simulating S/4HANA Private Edition OData APIs locally
Model visualisationSAP and community
@sap/cds-dk@sap/cds-dkThe command line client and development toolkit for CAP projects, with the commands cds build, cds deploy, cds watch and cds add among them.sap official, cap
Command line client and development toolkit for CAP
Plugin authoringSAP only
@sap/cds-dk@sap/cds-dkThe command line client and development toolkit for CAP projects, with the commands cds build, cds deploy, cds watch and cds add among them.sap official, cap
Command line client and development toolkit for CAP
DRY CAP – Making Sustainable Solutions Through PluginsDRY CAP – Making Sustainable Solutions Through PluginsA Devtoberfest 2026 building-apps session on packaging the things you would otherwise write twice, from in-house API clients and shared data models to validation logic, as a CAP plugin. The presenter builds one live: a cds-plugin.js next to package.json is what makes CAP notice the plugin at all, an index.cds carries a reusable user context and service that the consuming application projects into its own and protects there, and the plugin registers an Express middleware at a chosen step of the bootstrap to put user properties on the request. A feature-flagging plugin his team already uses closes it, and the whole walkthrough is the edge to Plugin authoring.SAP Developers, published 2026-10-02
What's in Daniel Hutzel's brain?What's in Daniel Hutzel's brain?A Devtoberfest 2026 session in the building-apps track, in which Daniel Hutzel and DJ Adams work through what the CAP team is building for agents. A bookshop gets an MCP endpoint beside its OData one from a single annotation, with the plugin writing the coding agent's configuration itself; in the xt-travels sample five services that know nothing about each other are served over MCP and an agent does the orchestration the hand-built UI and its value helps used to do. Hutzel then annotates a service as an agent so the ReAct loop and the choice of model move into the CAP service, and finally drops MCP for a skill that teaches the agent CQL instead, which is where the edges to Serve your application over MCP, Agent tooling and Agent guidance come from. The mechanism under all of it, a plugin file in the package root and event handlers that can be added to any CAP service, is the edge to Plugin authoring.published 2026-10-02
Seed dataSAP and community
@animb1996/cds-data-drift@animb1996/cds-data-driftCompares the CSV files under a CAP project's db/data with the rows in the database bound as its db service, and reports where the two have diverged without writing to either.independent, cap
Compares a CAP project's CSV data with its database rows
@sap/cds@sap/cdsThe CAP Node.js runtime, which compiles the CDS model, serves the services declared in it, answers generic requests before any handler runs, and loads every cds-plugin.sap official, cap
CAP Node.js runtime
TestingSAP and community
@cap-js/cds-test@cap-js/cds-testTest support for CAP Node.js, installed as a dev dependency: it starts the project's server for the test, hands the test an HTTP client bound to it, and carries the assertions.sap official, cap
Test support for CAP Node.js: server start, HTTP client, assertions
TypeScript patternsCommunity only
@dxfrontier/cds-ts-dispatcher@dxfrontier/cds-ts-dispatcherDecorator-driven handler registration for CAP in TypeScript, where handlers are declared on a class rather than wired up one by one in an init function.independent, cap
Decorator-driven handler registration for CAP in TypeScript
@dxfrontier/cds-ts-repository@dxfrontier/cds-ts-repositoryA typed BaseRepository over CAP entities, so persistence is called through a class with methods rather than through CQN written inline in each handler.independent, cap
Typed BaseRepository over CAP entities
TypingSAP and community
@cap-js/cds-typer@cap-js/cds-typerGenerates TypeScript types from a CDS model.sap official, cap
Generates TypeScript types from a CDS model
@cap-js/cds-types@cap-js/cds-typesType definitions for the CAP Node.js SDK.sap official, cap
Type definitions for the CAP Node.js SDK
Draft handlingSAP and community
@sap/cds@sap/cdsThe CAP Node.js runtime, which compiles the CDS model, serves the services declared in it, answers generic requests before any handler runs, and loads every cds-plugin.sap official, cap
CAP Node.js runtime
bookshop-demobookshop-demoSimple CDS bookshop — the reference model most CAP explanations build on.independent, cap
Simple CDS bookshop model used across CAP explanations
Neither the package manifest nor the repository tree declares a licence.
SAP-samples/ui5-cap-event-appSAP-samples/ui5-cap-event-appAn event-attendee registration app that pairs a freestyle SAPUI5 end-user UI and a Fiori elements admin UI over one Node.js CAP backend, built to show OData V4 draft handling end to end.sap official, cap
Event registration app showing OData V4 draft with UI5 and CAP
CAP Foundry: Engineering SAP CAP Applications from Business Intent with Guardrailed AICAP Foundry: Engineering SAP CAP Applications from Business Intent with Guardrailed AICAP Foundry is a prototype that generates a CAP Node.js project with SAP Fiori elements from a written business requirement, discovering the actual data shape from a chosen source — SQLite, a configured SAP HANA HDI container, offline EDMX, live OData through the SAP Destination service, or approved SAP BTP ABAP objects — instead of inventing one. The generated application can carry a Fiori draft lifecycle with optimistic concurrency via ETags and annotation-driven Fiori elements list and object screens, localized independently of the underlying service contract. Attachments can be added with upload, download and delete, gated on a malware-scan status, and the generated project still has to compile, build and pass its generated tests before the run is accepted.Shahid, published 2026-08-20