BrowseSAP Business Technology Platform, also named SAP Business AI Platform
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SAP Job Scheduling Service: 🔧 Generate Your Own Client Library from OpenAPI SpecSAP Job Scheduling Service: 🔧 Generate Your Own Client Library from OpenAPI SpecA tutorial on generating a type-safe client library for the SAP Job Scheduling service's REST API from its OpenAPI specification, using the OpenAPI Generator CLI to target Node.js, TypeScript, Java, Python, Go or C#. It walks through OAuth 2.0 client-credentials authentication and the generated client's Jobs API, listing, creating and reading jobs with their cron schedules, and lists what the service's error statuses (400, 401, 404, 409, 429, 503) mean to a caller. It states that the official @sap/jobs-client will be deprecated and tells readers to use a generated client for now.DenisDuev, published 2026-05-04
Use REST services in GraphUse REST services in GraphSAP Graph turns a REST service into a business data graph by pairing a data destination with a metadata destination that supplies its OpenAPI document, since plain REST has no $metadata endpoint of the kind OData exposes. It walks through creating both destinations on SAP BTP, including the OAuth2ClientCredentials authentication needed when the OpenAPI file is hosted through an API artifact, and shows how Graph flattens each REST operation's path and method into an unbound OData action or function, such as turning a DELETE on /users/pets into a POST to users_pets__delete.florian_moritz, published 2026-01-20
Serve your application over MCPSAP and community
🔴 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
Agentic AI on BTP: a Multi‑Agent App with Pydantic AIAgentic AI on BTP: a Multi‑Agent App with Pydantic AISplits a single CAP/TypeScript agent that had grown to juggle five BTP MCP servers behind one bloated tool list into btp-multiagent-app, a Python and Pydantic AI rewrite where the Cloud Foundry and BTP Core MCP servers each get a dedicated specialist agent, with an audit log specialist scaffolded but left disabled, behind an orchestrator whose only tools are delegation calls to those specialists, which is the agent-tooling pattern the piece works through. Each specialist authenticates to its MCP server over Streamable HTTP with OAuth 2.1, and a shared module centralises the SAP AI Core GenAI Hub model setup behind two credential layouts, one for local runs and one for the Cloud Foundry service binding, the LLM integration side of the rewrite. Tool lists per agent drop from well over a hundred to a dozen or two, and routing failures become separable from tool-misuse failures by reading the trace.published 2026-05-03
Agentic AI on BTP: a Single Agent with LangGraphAgentic AI on BTP: a Single Agent with LangGraphA CAP TypeScript agent puts a LangGraph StateGraph in front of AzureOpenAiChatClient from @sap-ai-sdk/langchain, reaching SAP AI Core's Generative AI Hub, and lets its tool-calling loop draw on five deployed MCP servers — OData MCP Proxy, CI MCP Server, AI Core MCP Server, BTP MCP Server and BTP CF MCP Server — through @langchain/mcp-adapters' MultiServerMCPClient. Because agent, servers and APIs share one XSUAA tenant, the chat service forwards the signed-in user's own JWT instead of a service account, so each downstream server enforces that user's own authorizations. Past roughly a hundred combined tools the single prompt slows down and stops separating concerns, which is why the author's next post splits it into one specialist agent per MCP server behind an orchestrator.published 2026-05-03
API Composition: Seamless Enterprise Data Access for Developers and AI AgentsAPI Composition: Seamless Enterprise Data Access for Developers and AI AgentsAPI Composition (formerly Graph, a capability of API Management) curates business data graphs from existing SAP and non-SAP API providers, so a query can navigate and expand relationships across systems through one composed API rather than hand-written integration code. Palak walks through combining SAP S/4HANA warehouse-stock data with Everstream Analytics risk data into one API, then exposing that composed API as an MCP server so an AI agent calls it with the same semantic context — the scenario behind API Management's MCP servers coverage.published 2026-07-27
BTP Audit Log MCP Server: Security Monitoring with AI AssistantsBTP Audit Log MCP Server: Security Monitoring with AI AssistantsWouter Lemaire builds an MCP server over SAP BTP's Audit Log Retrieval API using odata-mcp-proxy, with a single entity set and zero custom code, so an AI assistant can answer natural-language questions like "Were there any configuration changes yesterday?" by calling AuditLogRecords_list against a BTP destination authenticated with the Audit Log service's service key. It covers the destination setup, the entity-set configuration that maps the PascalCase entity name to a lowercase auditlogrecords path, and handling the API's 500-record pagination limit.published 2026-03-13
BTP Cloud Foundry MCP Server: Managing CF Environments with AIBTP Cloud Foundry MCP Server: Managing CF Environments with AIWalks through a server built on odata-mcp-proxy that exposes the Cloud Foundry V3 API's 28 entity sets — apps, orgs, spaces, services, networking, quotas — as MCP tools from a JSON config with no application code. It shows the config shape that bridges the API's snake_case paths to PascalCase tool names via a urlPath field, and the OAuth2 client-credentials destination setup an assistant needs to reach a CF landscape.published 2026-03-13
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
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 #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
Connecting a Custom MCP Server to Joule Work Desktop: A Seamless and Secure Authentication FlowConnecting a Custom MCP Server to Joule Work Desktop: A Seamless and Secure Authentication FlowWalks through connecting a custom MCP server to Joule Work Desktop: a Dynamic Client Registration handshake (RFC 7591) followed by an Authorization Code + PKCE flow through the organisation's SSO via XSUAA or IAS, so authentication establishes the human identity that Joule then attaches to every subsequent tool call. That forwarded identity lets the BTP backend apply its existing authorization checks and row-level data filtering instead of a second permission model, and a role change in XSUAA revokes access on the next token refresh.published 2026-08-17
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
Expose RFCs as MCP Tools in Integration SuiteExpose RFCs as MCP Tools in Integration SuiteWalks through creating an MCP server in SAP Integration Suite from an RFC source: an on-premise RFC destination labelled for Integration Cell inclusion, a search over the backend's function modules (minimum seven characters), and up to 50 selected modules each becoming a tool. Covers the resulting server's configuration (Source, Tools and Prompts, with no Resources section for this source) and the two scopes an RFC-based server's policy adds beyond an API-sourced one, API.invoke and ESBMessaging.send, plus the RFC receiver adapter used at runtime. Demonstrates the flow with a purchase-order scenario where an AI client calls BAPI_PO_CREATE1 and BAPI_PO_GETDETAIL1 as MCP tools.ronit199666, published 2026-09-24
From APIs to Agent Tools: How MCP Gateway changes what Integration meansFrom APIs to Agent Tools: How MCP Gateway changes what Integration meansThe opening session of the Devtoberfest 2026 integration track, in which two product managers for SAP Integration Suite set out why the suite puts an MCP gateway between agents and backend systems, and then build one. The demo turns an HTTP endpoint and its OpenAPI specification into MCP tools on the integration cell runtime, does the same on top of an existing API-centric integration, and shows the policies tab where authentication through an external provider, quotas, spike arrest and IP filtering sit, plus the trace of the JSON-RPC calls in monitoring and the agent they are earmarked against in analytics. That is where the serve your application over MCP and tool governance edges hold; RFCs and BAPIs as sources are stated as supported, and MCP federation, custom domains and edge integration cell as roadmap.SAP Developers, published 2026-09-23
From SAP Integration Suite iFlow to MCP Tools: Exposing OData APIs to AI AgentsFrom SAP Integration Suite iFlow to MCP Tools: Exposing OData APIs to AI AgentsBuilds an MCP Server artifact inside SAP Integration Suite's Integration Cell runtime that fronts a Northwind OData V4 API through a Cloud Integration iFlow, turning each OpenAPI operation into a tool an agent can call. Walks through the OAuth2 client-credentials flow against XSUAA and the authorization policy scope — ESBMessaging.send in place of the default API.invoke — that gates access to the MCP server, then tests the server from Claude Code.published 2026-07-14
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
MCP Servers on SAP Integration Suite : Build Your First MCP Server from an APIMCP Servers on SAP Integration Suite : Build Your First MCP Server from an APIWalks through building an MCP server on SAP Integration Suite from an existing managed API — SAP S/4HANA's Purchase Order API — rather than from an HTTP endpoint or an RFC, which the same creation wizard supports but a later post in the series is left to cover. Selected API operations become MCP Tools with generated input and output schemas, the server inherits its Authentication policy from the source API, and a Process Integration Runtime service instance supplies the OAuth credentials an external client needs to invoke it. Ends by connecting the deployed server to Cline in VS Code and having it chain tool calls to answer a natural-language purchase-order query.published 2026-07-15
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
RFC/BAPIs Meet AI Agents: Why SAP Integration Suite MCP Server MattersRFC/BAPIs Meet AI Agents: Why SAP Integration Suite MCP Server MattersExplains that SAP Integration Suite's MCP Server artifact can expose RFC-enabled BAPIs, alongside API artifacts and HTTP endpoints, as MCP tools — letting BAPIs on SAP ECC or on-premise S/4HANA participate in agentic workflows without rewriting business logic or waiting for a full ERP transformation. Frames RFC support as a bridge for organisations still modernising rather than a recommendation to build new RFC-based integrations, and notes the exposed BAPIs inherit the server's existing authentication, rate limiting and IP filtering. A demo built against an SAP ECC backend shows an MCP client discovering and invoking several read-only BAPIs from natural-language prompts, with no custom wrapper code.arunmaarirajha_kv, published 2026-07-28
SAP Integration Suite + MCP: A Practical Architecture for AI Agents and SAPSAP Integration Suite + MCP: A Practical Architecture for AI Agents and SAPLays out the runtime chain for exposing S/4HANA APIs to an AI agent through SAP Integration Suite: the agent calls a tool on the MCP Gateway, which is built from a governed API Artifact, which still runs on Cloud Integration for mapping, routing and error handling before reaching the backend. It states that the API-artifact approach requires the Integration Cell runtime rather than the normal CPI message-processing runtime, an OAuth-secured REST or OData artifact on OpenAPI 3.0.0-3.0.3, and an entitlement that is service-plan dependent (citing SAP Note 2903776) — so the architecture question is whether the landscape already has the right MCP entitlement, runtime and API foundation.aayushaggarwal, published 2026-09-02
SAP Just Became AI-Agent Ready — Here's a Step-by-Step MCP WalkthroughSAP Just Became AI-Agent Ready — Here's a Step-by-Step MCP WalkthroughBuilds an MCP Server on SAP Integration Suite's Integration Cell, in front of a Cloud Integration flow that passes an OData V4 backend through untouched, with three tools generated from an OpenAPI spec. Secures it with OAuth 2.0 on SAP BTP client_credentials against XSUAA, and walks through the scope mismatch — the service key issues ESBMessaging.send, not the server's default API.invoke — that returns 403 until corrected; the finished server is then registered as a tool in Claude Code.published 2026-09-04
Supercharge Joule Desktop: Connect Any SAP API in Minutes with MCP GatewaySupercharge Joule Desktop: Connect Any SAP API in Minutes with MCP GatewayDevtoberfest 2026 session INT-13, in which an SAP solution advisor connects a live S/4HANA system to the desktop experience of Joule Work through the MCP gateway in SAP Integration Suite. One OpenAPI specification covering business partners, sales orders, material stock, billing and purchase requisitions is uploaded as an MCP server artifact, deployed to integration cell with XSUAA inbound authentication, and registered as an MCP connector; the destination behind it is then switched from basic authentication to principal propagation, and the Cloud Connector monitor shows the same question arriving as the presenter's own user. That demonstration is the serve your application over MCP edge, and the second half is Joule Work itself: a Markdown skill that fixes the steps and format of a customer briefing, and a Space the skill rebuilds with each run.SAP Developers, published 2026-09-23
Turn SAP APIs into MCP Tools for AI Agents using SAP Integration Suite Free TrialTurn SAP APIs into MCP Tools for AI Agents using SAP Integration Suite Free TrialWalks through building an MCP server on SAP Integration Suite's free trial from an existing API artifact — the Business Partner API against a public S/4HANA Cloud sandbox — rather than from an HTTP endpoint with an OpenAPI specification or from RFC-enabled function modules, the creation wizard's other two source types, left unexplained here. Covers the API artifact's Content Modifier policy that injects the Business Accelerator Hub API key before the backend call, and the "Trust Upstream MCP Authorization" setting that lets the MCP server delegate authorization checks to that source API instead of duplicating them. Ends by fetching an OAuth token from a Process Integration Runtime service key and pointing an MCP client at the deployed server over streamable HTTP.published 2026-07-13
Analytic modellingSAP and community
Explore your Hyperscaler data with SAP Business Data CloudExplore your Hyperscaler data with SAP Business Data CloudSAP's map of the ways data held on hyperscaler and partner platforms is joined with SAP data in SAP Business Data Cloud, with a sub-page each for AWS, Azure, Google Cloud, Databricks and Snowflake. It sets four modes side by side: BDC Connect shares data products in both directions over the Delta Sharing protocol from the object store layer, while in the SAP Datasphere layer federation reads remote tables in place, Replication Flows copy SAP data out to stores such as Amazon S3 or Google BigQuery, and Data Flows import files and transform them into Datasphere tables, the last three being the ground loading a warehouse covers. The Snowflake and BigQuery connectors are dated to 2026 releases, and a closing page lists what slows federation, from source and tenant in different regions to queries that do not filter and aggregate at the source.published 2026-05-08
SAP Datasphere Integration Patterns: Lessons Learned from Two Years of ImplementationsSAP Datasphere Integration Patterns: Lessons Learned from Two Years of ImplementationsTwo years of production SAP Datasphere integrations across SAP and non-SAP sources, settling on Replication Flows over remote access for high-volume Finance analytics because remote queries added latency at query time, then tuning the copy with Datasphere-side partitioning, source-side CDS view optimisation and Cloud Connector sizing. For file-based and Kafka sources, SAP Integration Suite iFlows did work a direct connection could not — flattening nested JSON, PGP decryption and orchestrating the SAP Ariba extraction built on SAP's own BTP Procurement Data Extractor content.saikrishna_kalivarapu2, published 2026-08-17
Strategy and Tool Updates on BW Modernization with SAP Business Data CloudStrategy and Tool Updates on BW Modernization with SAP Business Data CloudDevtoberfest 2026 session DAT-13, in which a product manager for SAP Business Data Cloud sets out the revised BW modernisation strategy, now called optimise, modernise and innovate, and the three tools that carry it. The data product generator transfers BW InfoProviders into local table files in a dedicated BW inbound space of SAP Datasphere, where a data product is still created by hand in the data sharing cockpit; the query template generator turns BW query metadata into an analytical model template in the HANA space; the BW migration assistant, planned to start in Q4 for BW NetWeaver, takes the data flows and transformations below them, and is shown on slides only. That is the loading a warehouse edge, and the demos cover the BW/4HANA cockpit, the ABAP program for the NetWeaver GUI, mass generation with semantics from the BW modeling tools, and the flattening operator for sharing data outside SAP.SAP Developers, published 2026-09-22
Cataloguing and lineageSAP and community
🔴 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
Explore your Hyperscaler data with SAP Business Data CloudExplore your Hyperscaler data with SAP Business Data CloudSAP's map of the ways data held on hyperscaler and partner platforms is joined with SAP data in SAP Business Data Cloud, with a sub-page each for AWS, Azure, Google Cloud, Databricks and Snowflake. It sets four modes side by side: BDC Connect shares data products in both directions over the Delta Sharing protocol from the object store layer, while in the SAP Datasphere layer federation reads remote tables in place, Replication Flows copy SAP data out to stores such as Amazon S3 or Google BigQuery, and Data Flows import files and transform them into Datasphere tables, the last three being the ground loading a warehouse covers. The Snowflake and BigQuery connectors are dated to 2026 releases, and a closing page lists what slows federation, from source and tenant in different regions to queries that do not filter and aggregate at the source.published 2026-05-08
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
Strategy and Tool Updates on BW Modernization with SAP Business Data CloudStrategy and Tool Updates on BW Modernization with SAP Business Data CloudDevtoberfest 2026 session DAT-13, in which a product manager for SAP Business Data Cloud sets out the revised BW modernisation strategy, now called optimise, modernise and innovate, and the three tools that carry it. The data product generator transfers BW InfoProviders into local table files in a dedicated BW inbound space of SAP Datasphere, where a data product is still created by hand in the data sharing cockpit; the query template generator turns BW query metadata into an analytical model template in the HANA space; the BW migration assistant, planned to start in Q4 for BW NetWeaver, takes the data flows and transformations below them, and is shown on slides only. That is the loading a warehouse edge, and the demos cover the BW/4HANA cockpit, the ABAP program for the NetWeaver GUI, mass generation with semantics from the BW modeling tools, and the flattening operator for sharing data outside SAP.SAP Developers, published 2026-09-22
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
Database connectorsSAP only
Accelerating Your Analytics with Delta Table Replication into SAP HANA CloudAccelerating Your Analytics with Delta Table Replication into SAP HANA CloudStarting with QRC 04/2025, SAP HANA Cloud can replicate a Delta Lake table from an external Delta Sharing source directly into a native HANA table, rather than only querying it live through a virtual table. The post walks through creating a remote subscription, running a chunk-based initial load, and setting up change data capture on a schedule or on demand, each with the SQL statements and monitoring views involved, plus the simpler virtual-table-toggling and HANA Cloud Central UI alternatives.SeungjoonLee, published 2025-12-22
Automate Recurring Data Updates in SAP HANA CloudAutomate Recurring Data Updates in SAP HANA CloudA walkthrough for marking inventory rows stale after 30 days using SAP HANA Cloud's own scheduler: a SQLScript procedure, a CREATE SCHEDULER JOB statement with its 7-field cron pattern, the M_SCHEDULER_JOBS monitoring view, and the matching DROP statements to remove both. It then names where that approach stops and lists the alternatives for scheduling outside the database: SAP Integration Suite's Timer Event, the SAP Job Scheduling service, SAP Automation Pilot for infrastructure commands, and a custom approach for triggering scheduled REST calls from an application.Joni, published 2026-06-11
Bridging Python and SAP HANA: Inside the sqlalchemy-hana Open-Source DialectBridging Python and SAP HANA: Inside the sqlalchemy-hana Open-Source DialectA Devtoberfest 2026 data-track session (DAT-21) in which one of the maintainers of sqlalchemy-hana, the open-source SQLAlchemy dialect published in SAP's GitHub organisation, opens up what sits between Python and SAP HANA. It walks the five dialect classes that render statements, types, DDL, identifiers and sequences, and the HANA specifics they absorb: the FROM DUMMY a bare SELECT needs, a limit injected when only an offset is given, string compiled to NVARCHAR, and quoted case-sensitive identifiers against Python's lowercase. The rest covers schema migrations with Alembic on HANA's transactional DDL, the recently added async support and vector types, and that HANA Cloud and HANA 2 are supported while HANA 1 is not.SAP Developers, published 2026-09-29
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 a CAP App with Fiori Integration – Part 1: Environment & HANA Cloud SetupBuilding a CAP App with Fiori Integration – Part 1: Environment & HANA Cloud SetupA trial account taken from nothing to a CAPM project with a HANA Cloud instance behind it. Everything here is prerequisites, which the author says outright — the application is in the parts that follow.SuryaRamesh, published 2026-04-08
Building an SAP BTP Agent Architecture from Scratch: Python + CAP + HANABuilding an SAP BTP Agent Architecture from Scratch: Python + CAP + HANAA first-person build log of a Flask orchestrator on Cloud Foundry that reduces a question to keywords, searches a Node.js service's Documents entity, and passes what it finds to Claude for a grounded answer. Getting there means learning that HANA's fuzzy .search() matches one word but not a full sentence, fixed by splitting the query into terms and merging the per-term hits, and that provisioning SAP HANA Cloud hits a database-level free-tier quota rather than an HDI-container one, with a stopped instance needing to be resumed first. It also covers @sap/cds-dk needing to sit in dependencies rather than devDependencies, since Cloud Foundry's buildpack skips the latter, before cds deploy --to hana can run as part of the push.neilaspin, published 2026-07-28
Building your knowledge graph on SAP HANA CloudBuilding your knowledge graph on SAP HANA CloudDevtoberfest 2026 session DAT-11, in which two enterprise architects explain what a knowledge graph is and then build one on SAP HANA Cloud. The first half sets the join across three relational tables against an ontology of classes and predicates, the subject-predicate-object triple written as a turtle file, and a SPARQL query over it, and argues that the chain of relationships is what makes a recommendation traceable back to its reasons. The demo, taken from a Discovery Center mission, curates the ontology and the RDF files for an accounts receivable scenario in VS Code, ingests the triples into HANA Cloud with SQL and walks the resulting graph outward from a customer; that is the graph, spatial and document data edge. It closes by separating three things that share the name: the HANA Cloud knowledge graph engine, SAP Knowledge Graph as the data, and the knowledge graph in SAP Business Data Cloud.SAP Developers, published 2026-09-22
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
Combining AI Agents with the power of SAP HANA embedded ML (part 1)Combining AI Agents with the power of SAP HANA embedded ML (part 1)Devtoberfest 2026 session DAT-12, the first of two parts, in which Vitaliy Rudnytskiy does a data scientist's work against the embedded machine learning of SAP HANA Cloud by talking to an agent. The session first takes an agent apart into its LLM, its tools, its memory and the loop between them, then stacks the Predictive Analysis Library under the hana-ml Python wrapper and that under the HANA AI toolkit, whose tools an agent calls from plain English in a notebook to preview a sales refunds table, split it into train and predict tables, run a time-series check and train an AutoML forecast, keeping what it decided in Markdown memory files. That is the agent tooling edge; the same toolkit is then started as an MCP server over stdio and over streamable HTTP and reached from a coding agent and from Joule Work's desktop, which is where the live demo partly fails and the failure is shown.published 2026-09-22
Fullstack CAP Application with HANA Cloud (Decoupled Architecture) [Part-3]Fullstack CAP Application with HANA Cloud (Decoupled Architecture) [Part-3]The cloud database appears: a HANA Cloud instance created on BTP and mapped to a Cloud Foundry space. No application code — this is the part where the platform has to be right before the next part can connect to it.sanjucs, published 2026-05-08
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
Setting Up PostgreSQL for SAP BTP Development: A Practical GuideSetting Up PostgreSQL for SAP BTP Development: A Practical GuideOpens with the premise the rest of this bucket mostly assumes away — not every BTP application needs HANA Cloud — and then sets up PostgreSQL on the hyperscaler option. Part one of a series that continues into XSUAA.michal_majer, published 2026-01-20
Graph, spatial and document dataSAP only
Building your knowledge graph on SAP HANA CloudBuilding your knowledge graph on SAP HANA CloudDevtoberfest 2026 session DAT-11, in which two enterprise architects explain what a knowledge graph is and then build one on SAP HANA Cloud. The first half sets the join across three relational tables against an ontology of classes and predicates, the subject-predicate-object triple written as a turtle file, and a SPARQL query over it, and argues that the chain of relationships is what makes a recommendation traceable back to its reasons. The demo, taken from a Discovery Center mission, curates the ontology and the RDF files for an accounts receivable scenario in VS Code, ingests the triples into HANA Cloud with SQL and walks the resulting graph outward from a customer; that is the graph, spatial and document data edge. It closes by separating three things that share the name: the HANA Cloud knowledge graph engine, SAP Knowledge Graph as the data, and the knowledge graph in SAP Business Data Cloud.SAP Developers, published 2026-09-22
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
Loading a warehouseSAP and community
Explore your Hyperscaler data with SAP Business Data CloudExplore your Hyperscaler data with SAP Business Data CloudSAP's map of the ways data held on hyperscaler and partner platforms is joined with SAP data in SAP Business Data Cloud, with a sub-page each for AWS, Azure, Google Cloud, Databricks and Snowflake. It sets four modes side by side: BDC Connect shares data products in both directions over the Delta Sharing protocol from the object store layer, while in the SAP Datasphere layer federation reads remote tables in place, Replication Flows copy SAP data out to stores such as Amazon S3 or Google BigQuery, and Data Flows import files and transform them into Datasphere tables, the last three being the ground loading a warehouse covers. The Snowflake and BigQuery connectors are dated to 2026 releases, and a closing page lists what slows federation, from source and tenant in different regions to queries that do not filter and aggregate at the source.published 2026-05-08
SAP Datasphere Integration Patterns: Lessons Learned from Two Years of ImplementationsSAP Datasphere Integration Patterns: Lessons Learned from Two Years of ImplementationsTwo years of production SAP Datasphere integrations across SAP and non-SAP sources, settling on Replication Flows over remote access for high-volume Finance analytics because remote queries added latency at query time, then tuning the copy with Datasphere-side partitioning, source-side CDS view optimisation and Cloud Connector sizing. For file-based and Kafka sources, SAP Integration Suite iFlows did work a direct connection could not — flattening nested JSON, PGP decryption and orchestrating the SAP Ariba extraction built on SAP's own BTP Procurement Data Extractor content.saikrishna_kalivarapu2, published 2026-08-17
Strategy and Tool Updates on BW Modernization with SAP Business Data CloudStrategy and Tool Updates on BW Modernization with SAP Business Data CloudDevtoberfest 2026 session DAT-13, in which a product manager for SAP Business Data Cloud sets out the revised BW modernisation strategy, now called optimise, modernise and innovate, and the three tools that carry it. The data product generator transfers BW InfoProviders into local table files in a dedicated BW inbound space of SAP Datasphere, where a data product is still created by hand in the data sharing cockpit; the query template generator turns BW query metadata into an analytical model template in the HANA space; the BW migration assistant, planned to start in Q4 for BW NetWeaver, takes the data flows and transformations below them, and is shown on slides only. That is the loading a warehouse edge, and the demos cover the BW/4HANA cockpit, the ABAP program for the NetWeaver GUI, mass generation with semantics from the BW modeling tools, and the flattening operator for sharing data outside SAP.SAP Developers, published 2026-09-22
Object storageSAP only
Integrating Using Google Cloud Storage Adapter (GCP Authentication & adapter config)Integrating Using Google Cloud Storage Adapter (GCP Authentication & adapter config)Walks through connecting SAP Integration Suite's Google Cloud Storage adapter to a bucket: creating a GCP service account with the Storage Object Admin role, generating its JSON or P12 key, converting it into a key-pair alias, and using that alias and the service account email in the adapter's authentication. It covers configuring the receiver adapter's upload operation (directory, object name, content type, and override, ignore or fail handling for an existing file) and the sender adapter's read, including post-processing to archive, delete or keep the object after an iFlow fetches it.MirunaliniV, published 2026-02-20
Async processingSAP only
Automate BTP Custom Domain certificates using Let's EncryptAutomate BTP Custom Domain certificates using Let's EncryptCertificate lifecycle management as an application: a CAP backend, a Fiori elements UI, the Custom Domain service, Cloud Foundry routes and the Job Scheduler, so requests, renewals and cleanup stop being manual. Part two of the author's BTP Toolbox.Ben, published 2026-03-19
Event Mesh + AMQP: The Retry Trap Nobody Warns You AboutEvent Mesh + AMQP: The Retry Trap Nobody Warns You AboutWorks through two patterns for retrying failed messages from Event Mesh's AMQP sender adapter on Cloud Integration, whose native retry has no configurable delay or backoff: bridging into a JMS queue for full exponential-backoff control, or looping messages through a dedicated retry queue with a TTL and a Dead Message Queue. Compares both against a Groovy sleep() workaround that blocks the adapter's connection and the runtime's worker thread, and shows that Advanced Event Mesh's own adapter ships configurable retry interval, backoff and broker-side redelivery without either workaround.MateuszPiotrowski, published 2026-03-09
DestinationsSAP only
Building Custom Joule Skills via RFC: Guide for SAP S/4HANA and ECC IntegrationBuilding Custom Joule Skills via RFC: Guide for SAP S/4HANA and ECC IntegrationWalks a Joule skill from a spoken question about a production order's status to an answer in SAP Build Workzone: a Cloud Connector tunnel and a destination in the BTP cockpit reach the S/4HANA or ECC system, a BAPI/RFC Action Project in SAP Build wraps the BAPI that reads the order, and Joule Studio, classic edition turns the action into a skill and deploys it. Establishing the connection and its destination before the action project exists is RFC connectivity and Destinations done for a low-code consumer rather than a CAP service. The action type here is BAPI/RFC, alongside the OData actions Joule Studio's own entry names.Robin-Qiu, published 2026-04-01
Creating an SAP SD Billing Document Using a BAPI in SAP Build and Accessing It Through 'Joule Work'Creating an SAP SD Billing Document Using a BAPI in SAP Build and Accessing It Through 'Joule Work'Walks through the two pieces of connectivity a SAP Build Process Automation action needs to call an on-premise BAPI: mapping the virtual host to the internal S/4HANA host in Cloud Connector over the RFC protocol, and creating an RFC-type destination in the BTP cockpit so BAPI_BILLINGDOC_CREATEMULTIPLE becomes a selectable action. The resulting process creates an SD billing document from a sales document number and is reached through SAP Build Work Zone, including from the Joule Work mobile app.MrRaj, published 2026-06-29
Fullstack CAP Application with HANA Cloud (Decoupled Architecture) [Part-5]Fullstack CAP Application with HANA Cloud (Decoupled Architecture) [Part-5]The consequence of decoupling: with the back end live on its own Cloud Foundry route, the front end needs a BTP destination to reach it rather than a relative path. Short, and it is the join the architecture creates.sanjucs, published 2026-05-18
Implementing Dynamic Subaccount-Based Routing in SAP CAP with SAP BTP DestinationsImplementing Dynamic Subaccount-Based Routing in SAP CAP with SAP BTP DestinationsWhy environment variables are the wrong place for backend endpoints in a CAP application, and what replaces them: cockpit destinations resolved at runtime, with the subaccount or instance identified as the request is handled. The argument is about redeployment — an endpoint kept in the environment means a deploy every time it moves — and the shape it produces is one codebase serving several landscapes without a build per landscape.Dnyaneshwar Salve, published 2026-03-18
Principal Propagation from BTP Web App to S/4HANA via SAP Integration SuitePrincipal Propagation from BTP Web App to S/4HANA via SAP Integration SuiteWalks through configuring principal propagation from a BTP web app, through SAP Integration Suite and Cloud Connector, to an on-premise S/4HANA system, so the backend receives calls as the logged-in user rather than a shared service account. The BTP Destination service uses OAuth2JWTBearer to exchange the user's Cloud Identity Services JWT for an Integration Suite token, and the iFlow's OData V2 receiver adapter reaches S/4HANA through Cloud Connector with Principal Propagation authentication. The Cloud Connector Subject Pattern builds the outbound certificate's CN from the token's user_name claim, which is populated from the IAS email rather than the sub claim, so identity resolution on S/4HANA hinges on that email matching a resolvable logon name.Joni, published 2026-07-10
SAP BTP Platform Technical User for CTMS IntegrationSAP BTP Platform Technical User for CTMS IntegrationWalks through creating a technical user in Cloud Identity Services (IAS) as a custom identity provider, adding it to a subaccount's org, space and role collections, and switching a Destinations entry's authentication to OAuth2Password with the Cloud Foundry login endpoint as token service URL and an origin property naming the custom IDP. The technical user lets CI/CD pipelines, API calls and transport automation authenticate without human credentials, keeping service accounts separate from people for audit and access control.Marudhu999, published 2026-03-09
The ECC-to-CAP Starter KitThe ECC-to-CAP Starter KitA Devtoberfest 2026 session that builds a CAP service and a Fiori elements list report over an SAP ECC gateway service, on the argument that the CAP project, its contract and its UI survive a later move to SAP S/4HANA while the APIs behind them change. The service integration edge is the body of the demo: the metadata of the ECC flight service is saved as an EDMX file, imported with cds import so the model holds the structure and none of the data, projected read-only into a flight service, and one line of handler code forwards each read to ECC, with filtering, sorting and paging translated down to the older OData version the system speaks. The SAP Destination service edge covers the on-premise destination and the additional properties the walkthrough insists on, and the SAP Business Application Studio edge covers the full-stack dev space, the CAP project wizard, the service center plugin for picking up another OData service, and cds watch run under the profile that uses those credentials.published 2026-10-09
UI for the BTP Application Vulnerability ReportUI for the BTP Application Vulnerability ReportAn open-source SAPUI5 front end for SAP's Application Vulnerability Report API, backed by a CAP Node.js service that projects the external findings as an OData V4 entity and forwards each query with api.run(req.query). The CAP service reaches that API through a Destination service instance configured with OAuth2ClientCredentials authentication from a service key, so the address and credentials stay out of the application code.published 2026-02-10
Use REST services in GraphUse REST services in GraphSAP Graph turns a REST service into a business data graph by pairing a data destination with a metadata destination that supplies its OpenAPI document, since plain REST has no $metadata endpoint of the kind OData exposes. It walks through creating both destinations on SAP BTP, including the OAuth2ClientCredentials authentication needed when the OpenAPI file is hosted through an API artifact, and shows how Graph flattens each REST operation's path and method into an unbound OData action or function, such as turning a DELETE on /users/pets into a POST to users_pets__delete.florian_moritz, published 2026-01-20
Using RFC Function Modules and BAPIs in SAP Build Process AutomationUsing RFC Function Modules and BAPIs in SAP Build Process AutomationWalks through calling an S/4HANA BAPI (BAPI_BILLINGDOC_CREATEMULTIPLE, to create a billing document) from an SAP Build Process Automation action: mapping the virtual host to the internal system in SAP Cloud Connector over the RFC protocol and exposing the needed function modules, then creating an RFC-type destination in the BTP cockpit with the virtual message server and SMLG logon group. Once those two are in place, SAP Build lists the exposed BAPIs and RFCs for use in an action.MrRaj, published 2026-07-09
Event MeshSAP only
Clean Core by Design: Event Enablement Cockpit as a Core Integration Enabler in SAP S/4HANAClean Core by Design: Event Enablement Cockpit as a Core Integration Enabler in SAP S/4HANAWalks through wiring an on-premise SAP S/4HANA system into Event Mesh as an event producer, using the Enterprise Event Enablement framework: creating the service instance and its service key, then an RFC destination and OAuth 2.0 client configuration in SPRO so a channel can publish native S/4 business events over AMQP or MQTT. Covers the channel's reconnect and quality-of-service parameters and activating the Event Discovery Service, and notes that SAP ECC needs a third-party add-on for the same events since S/4's native Business Events are not available there.HammadSharif1, published 2026-06-01
Connecting SAP S/4HANA On-Prem Directly to Advanced Event Mesh using Cloud Connector - finally!Connecting SAP S/4HANA On-Prem Directly to Advanced Event Mesh using Cloud Connector - finally!Package Integration 1.4.0 for the Advanced Event Mesh Adapter adds official support for routing through SAP Cloud Connector, so an on-premise SAP S/4HANA system can produce events that SAP Advanced Event Mesh distributes without exposing a public endpoint. The same release changes the adapter's default acknowledgment mode from Automatic Immediate to Automatic On Exchange Complete, altering delivery semantics and error handling. The release notes warn against mixing proxy configurations within one tenant, since that causes unpredictable routing in complex hybrid tenants.sissyhae, published 2026-01-23
Event Mesh + AMQP: The Retry Trap Nobody Warns You AboutEvent Mesh + AMQP: The Retry Trap Nobody Warns You AboutWorks through two patterns for retrying failed messages from Event Mesh's AMQP sender adapter on Cloud Integration, whose native retry has no configurable delay or backoff: bridging into a JMS queue for full exponential-backoff control, or looping messages through a dedicated retry queue with a TTL and a Dead Message Queue. Compares both against a Groovy sleep() workaround that blocks the adapter's connection and the runtime's worker thread, and shows that Advanced Event Mesh's own adapter ships configurable retry interval, backoff and broker-side redelivery without either workaround.MateuszPiotrowski, published 2026-03-09
IntegrAItion: Event-Driven IntelligenceIntegrAItion: Event-Driven IntelligenceA Devtoberfest 2026 session, INT-33, whose line is that agents fail because they are not informed enough rather than not clever enough, and that events are how they get informed: what an event is, the source-broker-consumer split, notification against data events, and topic filtering as the thing that decides which agents are woken at all and what that costs in tokens. It covers Event Mesh as the concern — topics, subscriptions, filters and queues — and SAP Integration Suite, advanced event mesh as the product, down to its event portal and catalogue, the mesh and cluster managers and distributed tracing. The closing demo sends an S/4HANA product-defect event through the mesh to wake an agent in Joule Studio, which fetches what it still needs over MCP and reports to a person the next morning.SAP Developers, published 2026-10-07
Migrating from ASANWEE to ASAAEMEE: From SAP Event Mesh to SAP Advanced Event MeshMigrating from ASANWEE to ASAAEMEE: From SAP Event Mesh to SAP Advanced Event MeshA migration walkthrough for switching an SAP ERP or S/4HANA on-premise system from classic SAP Event Mesh to SAP Advanced Event Mesh: new RFC destinations to the broker's REST, handshake and token endpoints, trusting its certificate, activating the AEM business configuration set, and re-pointing the NetWeaver Add-On for Event Enablement's outbound object and dynamic topic mapping at the new instance. It assumes the Event Add-On for ERP (ASAAEMEE) is already installed and covers only the technical cut-over, not setting up event publishing from scratch.Benedikt_Sprung, published 2026-02-13
Receive Events from Event Mesh of Integration Suite to CAP Node.js ApplicationsReceive Events from Event Mesh of Integration Suite to CAP Node.js ApplicationsWalks a CAP Node.js application through consuming events from SAP Integration Suite, Event Mesh: adding the messaging and xsuaa services with cds add, writing messaging.on handlers for named topics, and building and deploying the service as an MTA to Cloud Foundry. Documents a mismatch between Cloud Foundry's automatic queue provisioning and Event Mesh's management API, worked around by pointing the service key's management URI at a mock endpoint that always returns 201.KevinWang_ST_Consultancy, published 2026-02-13
SAP Codejam on Event Driven Build ProcessSAP Codejam on Event Driven Build ProcessA hands-on CodeJam walkthrough of an event-driven flow: a Business Partner creation event from a simulated S/4HANA Cloud system is published to SAP Advanced Event Mesh, where the author configures topics, queues and subscriptions and forwards it through a REST Delivery Point to SAP Build Process Automation, which runs a business process with a human approval step and an asynchronous callback to a third-party system. The event producer stays unaware of its consumers, with SAP Build acting purely as an orchestrator reacting to events.Sharathmg, published 2026-02-03
SAP EHS Public Cloud: Extending Your Existing Landscape Side-by-Side - Guidebook (Part 4)SAP EHS Public Cloud: Extending Your Existing Landscape Side-by-Side - Guidebook (Part 4)Two custom iFlows in SAP Integration Suite subscribe over AMQP to Event Mesh queues, triggered by SAP S/4HANA On-Premise's Enterprise Event Enablement channels publishing Equipment and Functional Location changes; each flow calls the on-premise OData API, maps the result, and pushes it into SAP S/4HANA Cloud Public Edition through the SAP_COM_0395 communication scenario. The synchronized Plant Maintenance data feeds SAP EHS Public Cloud's risk management, incident management and emissions management processes, which otherwise have no asset master data of their own.duynguyendeloitte, published 2025-11-28
Integration flowsSAP only
Batch File Pickup and Dynamic ZIP Creation in SAP Integration SuiteBatch File Pickup and Dynamic ZIP Creation in SAP Integration SuiteWalks through configuring a Cloud Integration flow that polls an SFTP server for batches of ten files, using a Content Modifier to preserve each file's name and body before appending them into one temporary file. A Router and Poll Enrich step detect when the batch is complete, a General Splitter breaks the combined payload back into individual messages, and a Gather step reassembles them into a dynamically named ZIP archive that keeps the original filenames, before the archive is sent on to a target SFTP server.sahilminhas, published 2026-05-07
Beyond Basic AI Error Handling in SAP CPI - A Rules-First Architecture with HANA Cloud LearningBeyond Basic AI Error Handling in SAP CPI - A Rules-First Architecture with HANA Cloud LearningBuilds a rules-first error-diagnosis pipeline on Cloud Integration in SAP Integration Suite: a Groovy classifier resolves known failures — auth, timeout, malformed payload — deterministically, and only genuinely novel errors reach an LLM through the AI Adapter, after a sanitizer script replaces every payload leaf value with a typed placeholder before it leaves the tenant. SAP HANA Cloud, reached over JDBC, holds a fingerprinted dedup cache and an accumulating table of past diagnoses. It also documents the AI Adapter configuration — Advanced mode, a Bearer-prefixed Secure Parameter, and a connection/processing URL split — needed to reach a non-SAP OpenAI-compatible endpoint, found by the author to be undocumented.Krishna_Karthik, published 2026-06-11
Beyond REST: Exploring GraphQL API Integration in SAP BTP Integration SuiteBeyond REST: Exploring GraphQL API Integration in SAP BTP Integration SuiteBecause Cloud Integration in SAP Integration Suite ships no native GraphQL adapter, the author builds a GraphQL integration flow on the standard HTTP adapter: a Groovy script assembles the query or mutation payload and sets the JSON content type, and a JSON-to-XML converter turns the response into something message mapping can consume. The walkthrough uses the public Countries API to stand in for a real order-synchronisation flow between an e-commerce platform and SAP S/4HANA.Avinash_Vaidya, published 2025-11-11
Building a Real‑Time Currency Conversion iFlow using SAP Cloud Integration (CPI)Building a Real‑Time Currency Conversion iFlow using SAP Cloud Integration (CPI)A step-by-step build of a currency-conversion integration flow in Cloud Integration: an HTTPS sender adapter accepts JSON, a content modifier stores the currencies and amount as exchange properties, and a Request-Reply step calls an external rate API before a Groovy script renders the result as an HTML table. A Global Exception Subprocess centralizes error handling for the whole flow, turning the MPL ID, error type and message into HTML and mailing it as a notification to a support address.RajeshwerRao_G_1, published 2026-04-01
Centralized Error Handling in SAP Cloud IntegrationCentralized Error Handling in SAP Cloud IntegrationBusiness integration flows in Cloud Integration route their runtime errors to a shared Central Error Logger flow through an Exception Subprocess and a ProcessDirect adapter, instead of each flow handling failures on its own. The logger normalises the incoming error data — flow name, message ID, correlation ID, timestamps — and formats it into an HTML email sent through a Mail Receiver Adapter. The author validated the same logger flow, unchanged, against a second, more complex business flow with routers and multiple email notifications.vishaladhikari, published 2026-03-27
Cloud Integration- Activating Enterprise Messaging Capabilities for JMS Queue - CFCloud Integration- Activating Enterprise Messaging Capabilities for JMS Queue - CFTraces a JMS iFlow deployment failure on Cloud Integration (Cloud Foundry) — ERROR_MISSING_SERVICE_KEY — to the Message Queues (Enterprise Messaging) capability being switched off on the tenant rather than a missing service key, since an edition upgrade does not turn it on by itself. Resolves it by enabling Message Queues under Manage Capabilities, which restarts the tenant, then redeploying the affected iFlows.Pavan_Koppula1, published 2026-07-21
Connecting SAP Integration Suite with SAP Document AI and SAP Business AIConnecting SAP Integration Suite with SAP Document AI and SAP Business AIWalks through a Cloud Integration flow in SAP Integration Suite that pulls PDF purchase orders from a Gmail mailbox, extracts header and line-item fields through SAP Document AI's job-submission and polling API, and validates the result with SAP AI Core's generative AI hub using GPT-5-mini as a quality check rather than the source of the extracted values. Groovy steps combine the Document AI confidence score and the model's score into one figure that routes low-scoring purchase orders to manual review, with no S/4HANA posting performed.subhojitSaha, published 2026-08-24
End to End Currency Conversion Integration using SAP Integration Suite (SAP CPI)End to End Currency Conversion Integration using SAP Integration Suite (SAP CPI)A hands-on build of a currency-conversion integration flow in Cloud Integration: an HTTPS sender adapter takes JSON input, a Request-Reply step calls an external exchange-rate API, and a Groovy script converts the amount and formats it as an HTML table before a Mail Adapter delivers the result. Most of the walkthrough is the Exception Subprocess added after hitting HTTP 500 and 429 errors in testing, which captures the error message, response code and message-processing-log ID and turns them into a readable response instead of a raw stack trace.shahabaz, published 2026-04-09
End-to-End Mail Adapter Setup in SAP CPI Using Gmail (Step-by-Step Guide)End-to-End Mail Adapter Setup in SAP CPI Using Gmail (Step-by-Step Guide)Walks through configuring Cloud Integration's Mail Receiver Adapter against a personal Gmail account: enabling 2-Step Verification and an app password in Gmail, storing it as CPI security material user credentials, and testing the SMTP connection (smtp.gmail.com, port 587, STARTTLS) before wiring the adapter into an integration flow. A content modifier builds the message body, and a Postman call triggers the flow to send mail through the configured Gmail account.srivallivasamsetti, published 2026-03-09
From opportunity to decision: Intelligent Credit Checks with AI Adapter in SAP Cloud IntegrationFrom opportunity to decision: Intelligent Credit Checks with AI Adapter in SAP Cloud IntegrationDevtoberfest 2026 session INT-12, in which an integration consultant builds two scenarios around the AI adapter in Cloud Integration. The first integration flow is triggered by a Salesforce opportunity event, reads that customer's history from S/4HANA over its OData APIs and calls a sales agent through the AI adapter, which writes a credit status and a credit rating band back onto the opportunity for the sales representative to act on; the second calls an operations agent from an exception subprocess and raises a Jira ticket carrying the suggested resolution, the related past tickets and the average resolution time recorded for the issue. The session places the adapter among the HTTP, Open Connectors and application-specific adapter routes, names its SAP Generative AI Hub, OpenAI and Claude variants, and gives the build effort as roughly 50 to 60 hours for the OData calls against the adapter configuration's two tabs.SAP Developers, published 2026-09-23
Intelligent Error Handling in SAP CPI Using AI AdapterIntelligent Error Handling in SAP CPI Using AI AdapterAdds an AI Receiver Adapter to an Exception Subprocess in Cloud Integration, so a failed iFlow sends its captured exception text to an LLM over a chat-completions endpoint and gets back an error summary, cause and resolution for the sender. The walkthrough is concrete about the flow's own mechanics — Security Material for the API key, the adapter's address and request body, a Content Modifier to extract and return the response — which is why it explains Integration flows rather than only the AI feature riding on top of them.Jayesh8909, published 2026-05-21
Managing JMS Queues Programmatically with the new SAP Cloud Integration JMS OData APIManaging JMS Queues Programmatically with the new SAP Cloud Integration JMS OData APIThe new JMS OData API on Cloud Integration exposes MessagingQueues and MessagingMessages entities, letting a client list, inspect, retry and move JMS messages without opening the monitoring UI, from Cloud Integration 7.52.x on Cloud Foundry and 8.41 on the Edge Integration Cell runtime. It works through OAuth 2.0 client-credentials authentication against a Process Integration Runtime service instance, a fixed row cap with time-window slicing used in place of offset paging because queues change between requests, and a consistent OData error envelope for the codes the surface returns.MarcoKoch, published 2026-06-01
Message Mapping in SAP Integration Suite - Custom Scripts and Conditional MappingMessage Mapping in SAP Integration Suite - Custom Scripts and Conditional MappingWalks through two ways to extend a message mapping step in SAP Integration Suite's Cloud Integration: a custom Groovy function added in the Mapping Expression editor's Scripts section, and a graphical equals/if node pair built from the standard function library, each suited to logic the other cannot express cleanly. Shows the Simulate tool's Generate button building a test payload from the source structure, then editing individual field values to exercise both the true and false branch of a condition before deployment.jirifridrich, published 2026-04-03
Microsoft GRAPH API - Read and extract attachments of Outlook email from Cloud IntegrationMicrosoft GRAPH API - Read and extract attachments of Outlook email from Cloud IntegrationBuilds an integration flow in Cloud Integration that authenticates to the Microsoft Graph API with an OAuth2 Client Credentials credential and an HTTP Receiver Adapter, then calls the Outlook inbox by MessageID to retrieve an email's attachment. A Groovy script using the pdfbox and fontbox libraries extracts the text from a PDF attachment, as an alternative to placing the attachment on SFTP unchanged or fetching the whole message with its attachment through the $value query.ChaithraShanmugam, published 2025-12-09
Parallel Data Filtering and Dropbox Integration Using SAP Cloud IntegrationParallel Data Filtering and Dropbox Integration Using SAP Cloud IntegrationA step-by-step build of an integration flow in Cloud Integration: a Start Timer triggers the flow, a Parallel Multicast splits student records by gender through XPath filters, and each branch uploads its file to Dropbox over a Receiver Adapter authorized against a Dropbox app's OAuth2 credentials. An Exception Subprocess captures the error message and a Mail Adapter sends it over SMTP, centralizing error handling and an email notification for the whole flow.Vurumind03, published 2025-12-10
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
Principal Propagation from BTP Web App to S/4HANA via SAP Integration SuitePrincipal Propagation from BTP Web App to S/4HANA via SAP Integration SuiteWalks through configuring principal propagation from a BTP web app, through SAP Integration Suite and Cloud Connector, to an on-premise S/4HANA system, so the backend receives calls as the logged-in user rather than a shared service account. The BTP Destination service uses OAuth2JWTBearer to exchange the user's Cloud Identity Services JWT for an Integration Suite token, and the iFlow's OData V2 receiver adapter reaches S/4HANA through Cloud Connector with Principal Propagation authentication. The Cloud Connector Subject Pattern builds the outbound certificate's CN from the token's user_name claim, which is populated from the IAS email rather than the sub claim, so identity resolution on S/4HANA hinges on that email matching a resolvable logon name.Joni, published 2026-07-10
SAP BTP - CI - Building Open-Source Custom Adapter EventSmartKafka from Zero with SAP ADK - Part IISAP BTP - CI - Building Open-Source Custom Adapter EventSmartKafka from Zero with SAP ADK - Part IIPart II of a series on EventSmartKafka, an open-source Kafka adapter for Cloud Integration in SAP Integration Suite built with the SAP Adapter Development Kit, walks through the runtime behind a custom adapter: how metadata.xml's fields map onto Java Endpoint properties, how the Component class creates the Endpoint, and how the Consumer's doStart() and doPoll() poll Apache Kafka, convert Avro payloads and dispatch the record into the iFlow pipeline. Its central point is that the Kafka offset must be committed only after the pipeline has processed the message successfully, with a worked table of which failure scenarios (missing Confluent magic byte, invalid schema ID, payload over the configured limit) withhold the commit versus let it through, to avoid poison-pill loops and silent message loss. The adapter is published as a community demo and not SAP-certified or production-validated; Part III covers building the SAP ADK project itself.rhviana, published 2026-06-03
SAP BTP - CI - EventSmartKafka - Custom Kafka Adapter - Part V FINALSAP BTP - CI - EventSmartKafka - Custom Kafka Adapter - Part V FINALEventSmartKafka is an open-source Kafka Consumer/Sender adapter for SAP Cloud Integration in SAP Integration Suite, built with the SAP Adapter Development Kit; it reaches Apache Kafka over SASL, SASL_SSL and mutual TLS, with on-premise brokers reached through Cloud Connector. This final release adds Avro-to-JSON/XML conversion, schema registry integration, message recovery by timestamp and Kafka producer support. The author reports the consumer validated past 6.5 million processed messages with zero failures and the producer run continuously for more than 20 hours, with deployment lifecycle testing — deleting, upgrading and redeploying the adapter — showing no runtime interruption.rhviana, published 2026-07-28
SAP BTP - CI - EventSmartKafka - Custom Kafka Adapter From .ESA v1.1.0 - Validated Runtime - Part IVSAP BTP - CI - EventSmartKafka - Custom Kafka Adapter From .ESA v1.1.0 - Validated Runtime - Part IVPart IV of a series on EventSmartKafka, an open-source Kafka Consumer adapter for SAP Cloud Integration in SAP Integration Suite, built with the SAP Adapter Development Kit. The v1.1.0 release adds mutual TLS client-certificate authentication against the broker, fixes an OSGi classloader bug where a redeployed bundle's static registry lost track of a still-open relay socket from the previous classloader (fixed with a JVM-wide System-property registry instead), replaces infinite retry loops on fatal configuration errors with a fail-fast stop, corrects two offset-handling bugs in timestamp-based message recovery, adds a parallel-consumer option, and drops a planned OAuth2 strategy because no tier of the tested broker services (Confluent Cloud, Redpanda Cloud, Aiven) exposed it for testing on a free plan. The author reports the release validated across 3,000,000 messages over four simultaneous listeners (PLAINTEXT, SASL, SASL_SSL, mTLS) on an SAP BTP Trial tenant with zero failures, closing the adapter's Consumer side before a planned Producer adapter.rhviana, published 2026-06-29
SAP BTP - CI - How I Built an Open-Source Enterprise Custom Kafka Adapter from Scratch - Part ISAP BTP - CI - How I Built an Open-Source Enterprise Custom Kafka Adapter from Scratch - Part IPart I of a series on EventSmartKafka, an open-source Apache Kafka adapter the author built with the SAP Adapter Development Kit to extend SAP Cloud Integration in SAP Integration Suite past the standard adapter's offset management, security options and Avro handling. It covers the architecture: granular offset control via seek(), a security UI that switches between SASL, mutual TLS and OAuth profiles, native Avro-to-JSON/XML conversion against a Schema Registry, configurable resilience policies, and on-premise reach through Cloud Connector. The adapter already runs against a live Confluent Cloud Kafka topic in a real tenant; the source code follows from Part II onward.rhviana, published 2026-05-29
SAP BTP - CI - Immutable Event Routing per Domain with Metadata-Driven Consumer OrchestrationSAP BTP - CI - Immutable Event Routing per Domain with Metadata-Driven Consumer OrchestrationDescribes a metadata-driven "Smart Router" pattern for Cloud Integration in SAP Integration Suite: one Kafka Sender Adapter per domain reads a wildcard topic, and a single immutable router iFlow resolves single, multiple or both consumers at runtime from Value Mapping entries and a Groovy script, instead of one adapter and iFlow per consumer added. It compares three candidate architectures — a two-layer router/dispatcher split, the recommended single-layer router, and a rejected global cross-domain router — and covers AVRO payload handling through Base64 and an externalized schema parameter, and consolidating the routing logic into one cached Groovy class to limit JVM class-loading overhead. The piece continues the author's earlier immutable Kafka topic routing post and names SAP Event Mesh as one of several broker-agnostic alternatives to the Kafka adapter used here.rhviana, published 2026-05-25
SAP Cloud Integration (CI/CPI) - Reusable Script Collection Pattern for Sensitive Data MaskingSAP Cloud Integration (CI/CPI) - Reusable Script Collection Pattern for Sensitive Data MaskingOpens with the question compliance teams ask about Cloud Integration, whether an integration team based outside Europe with Message Monitoring access can read the personal data in a logged payload, and answers that in most standard configurations it can. The pattern against it is a reusable Groovy script collection plus one global variable holding the masking rules: a script near the start of an iFlow AES-encrypts the original payload into a header or property and replaces values in the body by value pattern first and field-name keyword second, a second script restores the original just before the sender, so a Log Payload step anywhere in the flow captures the masked body while the target system still receives the real data. The post names its own limits, that pattern-based masking is heuristic and that CPI trace can capture the payload before the scripts run, and grounds the pattern in GDPR Articles 5(1)(f), 25, 32 and 44-49, reading the EDPB's Guidelines 05/2021 to mean that access from a country without an EU adequacy decision, uncovered by Standard Contractual Clauses or another valid transfer mechanism, can itself constitute a cross-border transfer.AdarshRao, published 2026-05-25
SAP Datasphere Integration Patterns: Lessons Learned from Two Years of ImplementationsSAP Datasphere Integration Patterns: Lessons Learned from Two Years of ImplementationsTwo years of production SAP Datasphere integrations across SAP and non-SAP sources, settling on Replication Flows over remote access for high-volume Finance analytics because remote queries added latency at query time, then tuning the copy with Datasphere-side partitioning, source-side CDS view optimisation and Cloud Connector sizing. For file-based and Kafka sources, SAP Integration Suite iFlows did work a direct connection could not — flattening nested JSON, PGP decryption and orchestrating the SAP Ariba extraction built on SAP's own BTP Procurement Data Extractor content.saikrishna_kalivarapu2, published 2026-08-17
SAP EHS Public Cloud: Extending Your Existing Landscape Side-by-Side - Guidebook (Part 4)SAP EHS Public Cloud: Extending Your Existing Landscape Side-by-Side - Guidebook (Part 4)Two custom iFlows in SAP Integration Suite subscribe over AMQP to Event Mesh queues, triggered by SAP S/4HANA On-Premise's Enterprise Event Enablement channels publishing Equipment and Functional Location changes; each flow calls the on-premise OData API, maps the result, and pushes it into SAP S/4HANA Cloud Public Edition through the SAP_COM_0395 communication scenario. The synchronized Plant Maintenance data feeds SAP EHS Public Cloud's risk management, incident management and emissions management processes, which otherwise have no asset master data of their own.duynguyendeloitte, published 2025-11-28
SAP Integration Suite: Intelligent Integration with AI AdapterSAP Integration Suite: Intelligent Integration with AI AdapterThe AI Adapter adds generative AI as a receiver step inside a Cloud Integration flow, connecting through either AICore-GenAIHub — a single API onto SAP AI Core's Generative AI Hub and its foundation models — or Custom-OpenAI-Rest, a plain REST call out to a provider such as OpenAI. SAP Integration Suite starts the call from the iFlow and feeds the model's response into the next step, which is the mechanics behind the sentiment-analysis, summarisation and routing use cases the piece lists without walking through any one of them.meena_choudhary, published 2026-01-28
SAP Neo Retires – Integration Developers Must Know Before Migrating from Neo to CFSAP Neo Retires – Integration Developers Must Know Before Migrating from Neo to CFWalks through what changes when Cloud Integration moves from the Neo environment to Cloud Foundry under SAP Integration Suite: custom adapters move from an Eclipse-plugin deployment to Integration Adapter artifacts managed in Cloud Integration's Design and Monitor applications, Neo's environment variables (HC_APPLICATION, HC_HOST, HC_REGION and others) map to Cloud Foundry's TENANT_NAME, VCAP_SERVICES and PORT, and OAuth clients for API access move from Neo administration tools to XSUAA under Integration Suite. Covers the same shift for security materials, transport management and monitoring, ahead of Neo's end of maintenance on 31 December 2028.SivaS, published 2025-12-03
SAP集成套件中的Cloud Integration云集成功能概况介绍SAP集成套件中的Cloud Integration云集成功能概况介绍An overview of Cloud Integration within SAP Integration Suite: it positions Cloud Integration as the execution engine that processes and moves messages between systems, working alongside Integration Advisor, Trading Partner Management and API Management. It walks through building an integration flow in the low-code editor — connecting over HTTP/OData or RFC with built-in connectors and prebuilt content, transforming and mapping messages, then deploying and monitoring the flow — and closes by naming PI/PO Move, SAP's tooling to assess and migrate existing PI/PO integration content into the suite.ArthurYang, published 2025-10-28
Stop Building From Scratch: Unlocking SAP Cloud Integration’s Standard ContentStop Building From Scratch: Unlocking SAP Cloud Integration’s Standard ContentArgues against building integrations from scratch by pointing to the Discover space of Cloud Integration: over 700 prebuilt integration packages and nearly 4000 iFlows, covering common scenarios such as S/4HANA-to-Salesforce business-partner and order sync, included at no extra cost under an SAP Integration Suite licence. Walks through where to find and copy a package, and the support trade-off it creates: SAP keeps supporting the standard baseline, but once a flow is directly modified the customer owns the lifecycle of that change, which the author sets against patterns like overlay mappings and wrapper orchestrators that preserve support.Punith_Oswal, published 2025-12-19
Use Datastore to avoid too many duplicate MPL attachments in exception retriesUse Datastore to avoid too many duplicate MPL attachments in exception retriesWalks through an Integration flows design on Cloud Integration: an exception subprocess that writes the source and in-flight payloads to a DataStore entry, keyed by the message's correlation header and overwritten on each retry, instead of a Groovy script attaching both payloads to the message processing log on every run. With unrestricted retries left in place, one interface the author retried 14 times produced two DataStore entries instead of up to 28 message processing log attachments; the post also notes that deleting the DataStore entry for a retrying message marks it Cancelled in monitoring without stopping the retries.pdimri, published 2025-11-26
RFC connectivitySAP only
Building Custom Joule Skills via RFC: Guide for SAP S/4HANA and ECC IntegrationBuilding Custom Joule Skills via RFC: Guide for SAP S/4HANA and ECC IntegrationWalks a Joule skill from a spoken question about a production order's status to an answer in SAP Build Workzone: a Cloud Connector tunnel and a destination in the BTP cockpit reach the S/4HANA or ECC system, a BAPI/RFC Action Project in SAP Build wraps the BAPI that reads the order, and Joule Studio, classic edition turns the action into a skill and deploys it. Establishing the connection and its destination before the action project exists is RFC connectivity and Destinations done for a low-code consumer rather than a CAP service. The action type here is BAPI/RFC, alongside the OData actions Joule Studio's own entry names.Robin-Qiu, published 2026-04-01
Connecting SAP S/4HANA On-Prem Directly to Advanced Event Mesh using Cloud Connector - finally!Connecting SAP S/4HANA On-Prem Directly to Advanced Event Mesh using Cloud Connector - finally!Package Integration 1.4.0 for the Advanced Event Mesh Adapter adds official support for routing through SAP Cloud Connector, so an on-premise SAP S/4HANA system can produce events that SAP Advanced Event Mesh distributes without exposing a public endpoint. The same release changes the adapter's default acknowledgment mode from Automatic Immediate to Automatic On Exchange Complete, altering delivery semantics and error handling. The release notes warn against mixing proxy configurations within one tenant, since that causes unpredictable routing in complex hybrid tenants.sissyhae, published 2026-01-23
Creating an SAP SD Billing Document Using a BAPI in SAP Build and Accessing It Through 'Joule Work'Creating an SAP SD Billing Document Using a BAPI in SAP Build and Accessing It Through 'Joule Work'Walks through the two pieces of connectivity a SAP Build Process Automation action needs to call an on-premise BAPI: mapping the virtual host to the internal S/4HANA host in Cloud Connector over the RFC protocol, and creating an RFC-type destination in the BTP cockpit so BAPI_BILLINGDOC_CREATEMULTIPLE becomes a selectable action. The resulting process creates an SD billing document from a sales document number and is reached through SAP Build Work Zone, including from the Joule Work mobile app.MrRaj, published 2026-06-29
Expose RFCs as MCP Tools in Integration SuiteExpose RFCs as MCP Tools in Integration SuiteWalks through creating an MCP server in SAP Integration Suite from an RFC source: an on-premise RFC destination labelled for Integration Cell inclusion, a search over the backend's function modules (minimum seven characters), and up to 50 selected modules each becoming a tool. Covers the resulting server's configuration (Source, Tools and Prompts, with no Resources section for this source) and the two scopes an RFC-based server's policy adds beyond an API-sourced one, API.invoke and ESBMessaging.send, plus the RFC receiver adapter used at runtime. Demonstrates the flow with a purchase-order scenario where an AI client calls BAPI_PO_CREATE1 and BAPI_PO_GETDETAIL1 as MCP tools.ronit199666, published 2026-09-24
Using RFC Function Modules and BAPIs in SAP Build Process AutomationUsing RFC Function Modules and BAPIs in SAP Build Process AutomationWalks through calling an S/4HANA BAPI (BAPI_BILLINGDOC_CREATEMULTIPLE, to create a billing document) from an SAP Build Process Automation action: mapping the virtual host to the internal system in SAP Cloud Connector over the RFC protocol and exposing the needed function modules, then creating an RFC-type destination in the BTP cockpit with the virtual message server and SMLG logon group. Once those two are in place, SAP Build lists the exposed BAPIs and RFCs for use in an action.MrRaj, published 2026-07-09
Trading partner agreementsSAP only
Implementing B2B Advisory in SAP Integration Suite for Custom XML EDIFACT Scenario Part - 3Implementing B2B Advisory in SAP Integration Suite for Custom XML EDIFACT Scenario Part - 3Builds the inbound side of a custom EDIFACT-to-IDoc scenario on Trading Partner Management: an iFlow picks a file from SFTP and sets headers for adapter type, document standard, namespace, version and sender and receiver IDs, and a second iFlow assembles them into the agreement's plain partner ID and matches it in the Partner Directory. A Groovy script then calls PartnerDirectoryService.getParameter to read a partner's custom activity parameters and general value-mapping data stored under the agreement, so dynamic field mapping comes from the agreement rather than a flow per partner. Third of a series on setting up trading partner agreements in SAP Integration Suite, after the TPM foundation and the agreement itself in parts 1 and 2.amysh95, published 2026-03-10
Agent access to your codeSAP and community
AI-assisted SAP development with MCPAI-assisted SAP development with MCPA Devtoberfest 2026 session (UI-41) that traces AI-assisted SAP development from pasting code into a chat window to coding agents with built-in connectors, and sorts the MCP servers around SAP development into SAP's own, the community's and the hosted ones, where the agent cannot change what the server allows. Four demos follow: GitHub Copilot alone explaining an ABAP report from a Git repository, @ui5/mcp-server reading an OpenUI5 sample app and converting it to TypeScript, mcp-sap-docs grounding Terraform files for a BTP subaccount the presenter had not written before, and arc-1 with Copilot in Eclipse tracing why a title longer than 40 characters is rejected and proposing the DDIC-allowed length instead. It ends on a skill that migrates an SAP Gateway project on an ECC system to RAP on S/4HANA step by step, and on a rule Marian Zeis gives for servers written for internal use: keep them read-only, because what the agent is short of is context.published 2026-10-16
Don't Wait for SAP: Unlocking MCP Servers in BAS Right NowDon't Wait for SAP: Unlocking MCP Servers in BAS Right NowA workaround post with a grievance behind it: MCP servers were promoted heavily at SAP TechEd, most IDEs support them, and Business Application Studio limits you to Joule. This is how to run them there anyway. Worth reading as evidence of where the tooling gap sits rather than only for the recipe, which by nature has a shelf life.published 2025-11-27
How I Use AI for Development and Why Context MattersHow I Use AI for Development and Why Context MattersPart one of the AI ABAP development series traces a move from pasting ChatGPT output and error messages back and forth to tools that search, read docs and inspect files themselves, and holds that the context around a model decides more in real projects than benchmark results do. In SAP work the grounding comes from mcp-sap-docs, which brings SAP Help, GitHub repositories, style guides and DSAG guidelines into the session, and context for changing a class also means the tables it uses, the classes it calls and similar implementations. Agentic autonomy is a slider set per project, with the time saved on typing moved into planning and review, and the post stops before ABAP: SAP's MCP servers for UI5, CAP and Fiori (@ui5/mcp-server, @cap-js/mcp-server, @sap-ux/fiori-mcp-server) sit in off-stack work that git and pipelines already gate, and the harder ABAP case is left to the next part.published 2026-04-20
What’s new in Mobile development kit client 26.9What’s new in Mobile development kit client 26.9This Mobile development kit client 26.9 release note explains that @sap/mdk-mcp-server is now reachable from SAP Business Application Studio's AI chat, giving an assistant real knowledge of the MDK metadata schema rather than generic code generation. With it an assistant can scaffold an MDK project, generate pages, actions, rules, i18n, services and styles into it, iterate on it conversationally, and answer schema and client-API questions inline through mdk-docs.published 2026-09-27
Agent access to your systemsSAP and community
BTP Audit Log MCP Server: Security Monitoring with AI AssistantsBTP Audit Log MCP Server: Security Monitoring with AI AssistantsWouter Lemaire builds an MCP server over SAP BTP's Audit Log Retrieval API using odata-mcp-proxy, with a single entity set and zero custom code, so an AI assistant can answer natural-language questions like "Were there any configuration changes yesterday?" by calling AuditLogRecords_list against a BTP destination authenticated with the Audit Log service's service key. It covers the destination setup, the entity-set configuration that maps the PascalCase entity name to a lowercase auditlogrecords path, and handling the API's 500-record pagination limit.published 2026-03-13
Agent evalsSAP and community
🟣 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
Agent guidanceSAP and community
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
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
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
Agent toolingSAP only
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
Agentic AI on BTP: a Multi‑Agent App with Pydantic AIAgentic AI on BTP: a Multi‑Agent App with Pydantic AISplits a single CAP/TypeScript agent that had grown to juggle five BTP MCP servers behind one bloated tool list into btp-multiagent-app, a Python and Pydantic AI rewrite where the Cloud Foundry and BTP Core MCP servers each get a dedicated specialist agent, with an audit log specialist scaffolded but left disabled, behind an orchestrator whose only tools are delegation calls to those specialists, which is the agent-tooling pattern the piece works through. Each specialist authenticates to its MCP server over Streamable HTTP with OAuth 2.1, and a shared module centralises the SAP AI Core GenAI Hub model setup behind two credential layouts, one for local runs and one for the Cloud Foundry service binding, the LLM integration side of the rewrite. Tool lists per agent drop from well over a hundred to a dozen or two, and routing failures become separable from tool-misuse failures by reading the trace.published 2026-05-03
Agentic AI on BTP: a Single Agent with LangGraphAgentic AI on BTP: a Single Agent with LangGraphA CAP TypeScript agent puts a LangGraph StateGraph in front of AzureOpenAiChatClient from @sap-ai-sdk/langchain, reaching SAP AI Core's Generative AI Hub, and lets its tool-calling loop draw on five deployed MCP servers — OData MCP Proxy, CI MCP Server, AI Core MCP Server, BTP MCP Server and BTP CF MCP Server — through @langchain/mcp-adapters' MultiServerMCPClient. Because agent, servers and APIs share one XSUAA tenant, the chat service forwards the signed-in user's own JWT instead of a service account, so each downstream server enforces that user's own authorizations. Past roughly a hundred combined tools the single prompt slows down and stops separating concerns, which is why the author's next post splits it into one specialist agent per MCP server behind an orchestrator.published 2026-05-03
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
Building Custom Joule Skills via RFC: Guide for SAP S/4HANA and ECC IntegrationBuilding Custom Joule Skills via RFC: Guide for SAP S/4HANA and ECC IntegrationWalks a Joule skill from a spoken question about a production order's status to an answer in SAP Build Workzone: a Cloud Connector tunnel and a destination in the BTP cockpit reach the S/4HANA or ECC system, a BAPI/RFC Action Project in SAP Build wraps the BAPI that reads the order, and Joule Studio, classic edition turns the action into a skill and deploys it. Establishing the connection and its destination before the action project exists is RFC connectivity and Destinations done for a low-code consumer rather than a CAP service. The action type here is BAPI/RFC, alongside the OData actions Joule Studio's own entry names.Robin-Qiu, published 2026-04-01
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
Combining AI Agents with the power of SAP HANA embedded ML (part 1)Combining AI Agents with the power of SAP HANA embedded ML (part 1)Devtoberfest 2026 session DAT-12, the first of two parts, in which Vitaliy Rudnytskiy does a data scientist's work against the embedded machine learning of SAP HANA Cloud by talking to an agent. The session first takes an agent apart into its LLM, its tools, its memory and the loop between them, then stacks the Predictive Analysis Library under the hana-ml Python wrapper and that under the HANA AI toolkit, whose tools an agent calls from plain English in a notebook to preview a sales refunds table, split it into train and predict tables, run a time-series check and train an AutoML forecast, keeping what it decided in Markdown memory files. That is the agent tooling edge; the same toolkit is then started as an MCP server over stdio and over streamable HTTP and reached from a coding agent and from Joule Work's desktop, which is where the live demo partly fails and the failure is shown.published 2026-09-22
Custom Joule Agent for SAP Ariba SLP - Building an AI Agent for Supplier Registration ApprovalCustom Joule Agent for SAP Ariba SLP - Building an AI Agent for Supplier Registration ApprovalBuilds a Joule Studio agent that reviews SAP Ariba SLP supplier registration tasks: four custom skills bind to Ariba's API (pending tasks, task detail, questionnaire answers, post a decision), each needing a precisely configured BTP destination and action, and the agent's own Expertise, Instructions and Additional Context sections carry the domain knowledge, the step order, and the scoring rubrics that decide approve, deny or deny-with-resubmit. The author contrasts this with an earlier hand-wired flow on SAP Build Process Automation, where every connection, variable and error path had to be designed and wired manually.Giancarlo-Martinez, published 2026-04-07
Event Driven SAP CAP on Kyma with Agentic AI and UI Auto RefreshEvent Driven SAP CAP on Kyma with Agentic AI and UI Auto RefreshA prototype, described as one: a plain CAP application made to react to external events on Kyma, with an agent in the loop and the UI refreshing itself rather than being reloaded. Short — it reports what was built and why, not how to rebuild it.Shahid, published 2025-12-01
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 Redwood Software and SAP are shaping the next era of automation with Joule StudioHow Redwood Software and SAP are shaping the next era of automation with Joule StudioRedwood's Field CTO describes a tech preview where an SAP Basis administrator tells SAP Joule in natural language to pause background jobs and dependent Integration Suite iFlows for unplanned system maintenance; Joule acts as a control tower, triggering a pre-approved RunMyJobs workflow and asking for approval before the restart proceeds. The integration is built by publishing RunMyJobs operations to the SAP Business Accelerator Hub, securing access through SAP BTP with API keys and role-based permissions, and combining those actions into a skill inside Joule Studio's low-code design canvas.gmblom, published 2025-11-02
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
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
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 Agentic AI in Practice: Building the SAP Exception Log Triage Agent (Part 3 of 6)SAP Agentic AI in Practice: Building the SAP Exception Log Triage Agent (Part 3 of 6)Part 3 of a six-part series builds a router agent that classifies incoming SM21 system log errors and SM37 job failures, delegates each to a specialized sub-agent built with LangGraph's create_react_agent, and correlates findings across both logs into a single severity score and escalation list. State moves through a typed dict shared between the router and its sub-agents, with tools that query SAP HANA tables directly; a reactive on-demand mode sits alongside a scheduled monitoring loop that compares error counts to a baseline and escalates automatically past a threshold. The router-plus-sub-agent split carries forward to Part 6, where the same router coordinates the assessment agents built in the series' other parts.DEEPA_DORAIRAJ, published 2026-04-06
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
SAP JOULE & ME : My First JOULE Skill in SAP EHSM-Incident Management Without CodingSAP JOULE & ME : My First JOULE Skill in SAP EHSM-Incident Management Without CodingWalks through building a transactional Joule Skill in Joule Studio, classic edition without writing code: activating an EHS Incident OData service in SAP S/4HANA, wrapping it as an Action Project with chosen input and output fields, then creating, saving and deploying the skill from those fields. Tested against a live system, the deployed skill lets a user create an EHS incident and list reported incidents through Joule's conversational interface or a configured button.Pardhasaradhi_Reddy_Chelikam, published 2026-01-05
SAP Joule implementation in an S/4HANA private cloud 3 system landscapeSAP Joule implementation in an S/4HANA private cloud 3 system landscapeWalks through enabling SAP Joule across a three-system S/4HANA Private Cloud landscape (DEV, QAS, PRD) rather than the common single-system setup: separate BTP subaccounts for the non-production systems, a shared Cloud Identity Services tenant, and catalogs and roles transported from DEV through QAS to PRD. Covers single sign-on for Joule by setting Microsoft Entra ID as the corporate identity provider in SAP IAS, so authentication flows through Entra ID without the user existing in the IAS store, plus principal propagation through the Cloud Connector into the production backend.Arunrajj, published 2026-01-21
SAP Joule: Invoice Agent for Faster Supplier Invoice Release in SAP S/4HANA Accounts PayableSAP Joule: Invoice Agent for Faster Supplier Invoice Release in SAP S/4HANA Accounts PayableWalks through building an Invoice Release Agent in SAP Joule: a custom OData service surfaces supplier invoices whose S/4HANA Flexible Workflow approval is overdue, the agent ranks them by invoice value, aging, payment tenor or a combined score, and a Joule Skill calls the standard SAP AP Invoice OData API to release them, re-prioritizing the remainder after each action. It sets out the detect-prioritize-act loop and the four ranking criteria in enough detail to rebuild the pattern, and leaves authorization, auditability and segregation-of-duty controls to the reader's own design.idc, published 2026-08-11
SAP's API Policy on AI Agents: What It Prohibits, Allows, and Leaves OpenSAP's API Policy on AI Agents: What It Prohibits, Allows, and Leaves OpenReading SAP's API Policy v.4.2026a and its FAQ against the reference architectures, the piece narrows the widely repeated claim that SAP bans AI to what Section 2.2.2 actually restricts: an agent planning and chaining API calls outside an SAP-endorsed route, closed off further by Section 3's block on bypassing API Controls through custom code. It compares the endorsed and allowed paths — the MCP Gateway on SAP Integration Suite reaching S/4HANA and ECC through RFC-based back ends under a 15-tool, 200,000-token limit, SAP-provided MCP servers through Joule Studio, the A2A protocol, customer-operated MCP servers allowed under FAQ Question 56, and the ADT MCP Server, whose 18 tools work only on development artifacts and are documented as not intended for productive use. It leaves open whether Section 2.2.2 covers ABAP code that calls a model from inside the system, since enforcement is defined at the API-traffic level rather than by a list of tools.published 2026-08-31
Agent workspacesSAP only
🔴 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
🟣 AI Eating Brains! How I Fed Mine to Joule Work Desktop🟣 AI Eating Brains! How I Fed Mine to Joule Work DesktopDevtoberfest 2026 session AI-22. Mathias Kemeter connects his Obsidian note vault to Joule Work Desktop with VaultGate, a local HTTP MCP server he wrote in his spare time because the desktop's sandbox accepts HTTP MCP servers and not stdio ones, and because he wanted the vault reached through Obsidian's own command line rather than by direct file access. The demo builds a Space of management tasks from notes and mailbox together, has the assistant pick up a conventions file in the vault without being told where the reporting rules are, finds a conflict the notes never name by semantic search over local embeddings, and appends a task to a sprint note behind a write confirmation, which is where the edges to Joule Work and Agent workspaces hold. The second half is about the guardrails he had AI choose for the project it then had to live inside: tests and coverage, type safety, static checks, dependency and secret scanning, blocking on commit, on push and in CI.published 2026-10-01
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
Supercharge Joule Desktop: Connect Any SAP API in Minutes with MCP GatewaySupercharge Joule Desktop: Connect Any SAP API in Minutes with MCP GatewayDevtoberfest 2026 session INT-13, in which an SAP solution advisor connects a live S/4HANA system to the desktop experience of Joule Work through the MCP gateway in SAP Integration Suite. One OpenAPI specification covering business partners, sales orders, material stock, billing and purchase requisitions is uploaded as an MCP server artifact, deployed to integration cell with XSUAA inbound authentication, and registered as an MCP connector; the destination behind it is then switched from basic authentication to principal propagation, and the Cloud Connector monitor shows the same question arriving as the presenter's own user. That demonstration is the serve your application over MCP edge, and the second half is Joule Work itself: a Markdown skill that fixes the steps and format of a customer briefing, and a Space the skill rebuilds with each run.SAP Developers, published 2026-09-23
Data maskingSAP only
Beyond Basic AI Error Handling in SAP CPI - A Rules-First Architecture with HANA Cloud LearningBeyond Basic AI Error Handling in SAP CPI - A Rules-First Architecture with HANA Cloud LearningBuilds a rules-first error-diagnosis pipeline on Cloud Integration in SAP Integration Suite: a Groovy classifier resolves known failures — auth, timeout, malformed payload — deterministically, and only genuinely novel errors reach an LLM through the AI Adapter, after a sanitizer script replaces every payload leaf value with a typed placeholder before it leaves the tenant. SAP HANA Cloud, reached over JDBC, holds a fingerprinted dedup cache and an accumulating table of past diagnoses. It also documents the AI Adapter configuration — Advanced mode, a Bearer-prefixed Secure Parameter, and a connection/processing URL split — needed to reach a non-SAP OpenAI-compatible endpoint, found by the author to be undocumented.Krishna_Karthik, published 2026-06-11