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Autonomous Diagnostics on Kyma Unplugged: Goose + LiteLLM + KRO + SAP AI Core in Production

An in-cluster autonomous diagnostic pipeline on Kyma Unplugged (open-source Kyma, noted to also run on SAP BTP, Kyma runtime): a Goose agent with kubectl access calls SAP AI Core through a LiteLLM proxy, and most of the post is about the quirks of that route — drop_params silently swallowing unrecognised parameters and beta headers, streaming that has to be off when tools are attached, and prompt caching that sits on the Orchestration V2 API rather than the foundation-model path the LiteLLM provider hits. A second Node.js proxy reaches that API, and the author reports caching unconfirmed at production scale, which leaves the roughly $0.004 per static run a target rather than a measured figure. Spend metrics reach SAP Cloud Logging over OTLP through Kyma's Telemetry MetricPipeline while the health analysis itself lands in Kubernetes custom resources read in Busola, and the stack is declared as KRO Resource Group Definitions applied with one Terraform command.

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LLM integrationBTPLLM integrationcapabilityCalling 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.TelemetryBTPTelemetrycapabilitySeeing what a running service did — traces across handlers and database calls, metrics, and correlation that survives an async boundary.DeploymentBTPDeploymentcapabilityGetting an application onto a runtime and keeping it there: build descriptors, deployment topology, service bindings and lifecycle operations. The target runtime determines how the application is packaged and configured.
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explainsLLM integrationcapability, core and community
explainsTelemetrycapability, core and community
explainsDeploymentcapability, core and community
published onSAP Communitypublishing source
discovered viaSAP Communityagentic-ai-tag
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  • Entered the atlasDiscovered via SAP Community · agentic-ai-tag.
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