Person
Kevin Riedelsheimer
Capabilities
Contributes to
Agent access to your codeCAPBTPAgent access to your codeLetting a coding agent read the project or the system you actually have, reach its model, its objects and its checks, and act on it. In file-based environments that works out of the box; complex systems need dedicated access capabilities. Whatever the environment, the agent also needs project- and framework-specific context, so it understands the thing in front of it rather than guessing from what it remembers of its training data. The transport is incidental: an MCP server, a language server or a CLI answer the same question, and what differs between them is how much of the real thing the agent can see. Distinct from [MCP servers](capability:mcp-servers), which is a protocol adapter on your own running service, and from [agent guidance](capability:agent-guidance), which is knowledge handed over as files rather than read from the thing itself.Content filteringBTPCAPContent filteringChecking what goes into a model and what comes out of it against content rules, and stopping or flagging a request that fails them. Distinct from [data masking](capability:data-masking), which hides values: a filter refuses content.Data maskingBTPCAPData maskingReplacing the personal or confidential values in a prompt with placeholders before it leaves for a model, and putting them back in the answer. Anonymisation, where the values are gone for good, and pseudonymisation, where they return, are the two forms; which fields count as sensitive is the application's question, not the module's.DocumentationCAPBTPDocumentationFinding the answer in what has already been written, and writing it where it has not — first-party documentation made searchable by something other than a person scrolling it, including by an agent, and a document of custom code produced from the code itself.LLM integrationCAPBTPLLM integrationCalling a language model from application code with the tenant, destination and credential handling already solved instead using an SDK call with a hand-rolled key.Prompt managementBTPCAPPrompt managementKeeping the prompts an application sends to a model as templates with placeholders, stored and versioned apart from the code that calls them, so a change of wording is not a deployment. What people conflate under it: the template filled at runtime, the registry it lives in, and the orchestration step that fills it.
Entries
Group by11 of 11 entries
EntrySignals
Contributes to
@cap-js/mcp-server@cap-js/mcp-serverSAP's MCP server for CAP development, run as cds-mcp: search_model searches the project's compiled CDS model, search_docs searches the CAP documentation indexed as embeddings on the developer's own machine.sap official, cap
The tools are documented as meant for AI models and not a stable API, so anything built to parse `cds-mcp` output rather than to feed a model can break between releases. Its corpus is the CAP documentation, so Fiori elements, BTP service or ABAP questions are not in what `search_docs` indexes.
MCP server for CAP development: model and docs search
@sap-ai-sdk/ai-api@sap-ai-sdk/ai-apiThe AI Core API surface of SAP's AI SDK, covering deployments, configurations and the rest of the control plane, as opposed to calling a model.sap official, cap
AI Core control plane API surface of SAP's AI SDK
@sap-ai-sdk/core@sap-ai-sdk/coreThe shared internals that the packages of SAP's AI SDK build on, which its own readme says are not meant to be depended on directly.sap official, cap
Shared internals of SAP's AI SDK
@sap-ai-sdk/foundation-models@sap-ai-sdk/foundation-modelsThe package of SAP's AI SDK that calls foundation models through SAP AI Core and the Generative AI Hub, and the one an application actually reaches for.sap official, cap
Client for foundation models via SAP AI Core and Generative AI Hub
@sap-ai-sdk/orchestration@sap-ai-sdk/orchestrationThe Orchestration Service client of SAP's AI SDK, which applies templating, grounding, filtering and masking around a model call rather than in the application.sap official, cap
Orchestration Service client for templating, grounding and masking
@sap-ai-sdk/prompt-registry@sap-ai-sdk/prompt-registryA package for keeping prompts in SAP's prompt registry rather than in the codebase, so changing a prompt is not a deployment.sap official, cap
Client for prompts kept in SAP's prompt registry
SAP-samples/cap-hana-exercises-codejamSAP-samples/cap-hana-exercises-codejamAn eight-exercise CodeJam that builds a full-stack CAP application on SAP HANA Cloud, from HDI containers to calculation views and stored procedures.sap official, cap
CodeJam building a full-stack CAP app on SAP HANA Cloud
SAP-samples/cloud-btp-cli-api-codejamSAP-samples/cloud-btp-cli-api-codejamThe material for the "Hands-on with the btp CLI and APIs" SAP CodeJam, from installing the command line to creating and deleting account resources through the Core Services API.sap official, btp
CodeJam material on the btp CLI and the Core Services API
SAP-samples/codejam-cap-llmSAP-samples/codejam-cap-llmA CodeJam that builds a CAP-based job posting service exposing SAP AI Core's generative AI capabilities, including vector embeddings, through an OData API.sap official, cap
CodeJam on a CAP job posting service using SAP AI Core over OData
SAP-samples/codejam-code-based-agentsSAP-samples/codejam-code-based-agentsA CodeJam teaching code-based AI agents in Python or TypeScript, from a first agent through custom tools to deployment on SAP BTP and integration with Joule.sap official, btp
CodeJam on code-based AI agents in Python or TypeScript on SAP BTP
SAP-samples/generative-ai-codejamSAP-samples/generative-ai-codejamA CodeJam that deploys and queries a large language model on SAP AI Core's Generative AI Hub, then builds a retrieval-augmented chatbot on top of it.sap official, btp
CodeJam deploying an LLM on Generative AI Hub and building RAG
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