BFCL Tool Calling Dataset Normalization and Prompt Optimization
The concept name is missing or undefined, and the provided sources — tutorials on prompt optimization with tool calling in SAP AI Core — do not contain enough grounded detail to produce a reliable definition without risking unsupported claims. A valid concept name is required to proceed.
Tutorials that teach this
Prerequisites
- Concept Prompt Optimization Across Models The concept name was not provided and cannot be determined from the available source snippets, which cover prompt optimization, tool calling, and response formatting in SAP AI Core. Please supply the specific concept name so an accurate, source-grounded definition can be written.
- Concept Prompt Engineering The concept name was not provided, so a precise definition cannot be written. Please supply the concept name so it can be accurately defined based on the available sources covering topics such as prompting LLMs in the generative AI hub in SAP AI Core and using multimodal inputs with GPT-4o for image recognition on SAP AI Core.
- Concept SAP AI Core Service Setup The concept name was not provided, so a precise definition cannot be constructed from the available sources. Based on the sources, these materials collectively cover building and integrating [Generative AI applications](https://architecture.learning.sap.com/docs/golden-path/ai-golden-path/2-build-and-deliver/3-genai-applications/readme) on SAP Business Technology Platform using SAP AI Core — a managed service that developers use to train models, run AI workloads, and connect to large language models via orchestration. Developers leverage it alongside [SAP BTP service instances and keys](https://help.sap.com/docs/btp/sap-business-technology-platform/5b35ee98403045309bb0f8c7f0c79365?locale=en-US&state=PRODUCTION&version=Cloud) to authenticate and consume AI capabilities such as prompt optimization, grounding, multimodal responses, and custom evaluation within their applications.
- Concept Generative AI Hub setup and onboarding The concept name provided is "undefined," and the supplied sources do not contain enough grounded information to produce a reliable, accurate definition for a specific SAP developer concept. Please provide a valid concept name and relevant source snippets so a precise definition can be written.
- Concept Generative AI Custom Evaluation in SAP AI Core The concept name was not provided, but based on the sources, this appears to relate to **Custom Evaluation / LLM-as-a-Judge** in SAP AI Core. This is a framework within SAP AI Core that allows developers to define and run custom evaluation metrics for generative AI outputs, including grounding and prompt optimization scenarios. Developers use it to assess the quality of large language model responses by configuring custom judges — including other LLMs acting as evaluators — against criteria such as tool-calling accuracy or retrieval-augmented grounding. It supports both quickstart workflows and comprehensive evaluation pipelines, enabling iterative improvement of prompts and model behavior within the SAP AI Core environment.
- Concept Prompt Registry Management in SAP Generative AI Hub The concept name provided is "undefined," and the supplied sources do not contain enough grounded information to produce a reliable, accurate definition for a specific SAP developer concept. Please provide a valid concept name and relevant source snippets so a precise definition can be written.
- Concept Python SDK Installation and Configuration The concept to be defined is not specified (received as "undefined"), and the provided sources cover distinct SAP SDK and tooling setup tutorials without a shared concept to summarize. A meaningful, source-grounded definition cannot be produced without a valid concept name.
- Concept LLM Tool Use / Function Calling in Agents
- Concept SAP Generative AI Hub The concept name was not provided, so a best-effort definition is derived from the available sources covering SAP's AI development landscape. [SAP's AI Golden Path](https://architecture.learning.sap.com/docs/golden-path/ai-golden-path/readme) is a curated starting point for developing AI applications across the SAP ecosystem, offering recommendations and guidance for building and delivering AI-powered solutions. Developers use it to navigate capabilities such as [Generative AI application integration, embeddings and semantic search](https://architecture.learning.sap.com/docs/ref-arch/RA0005/2-semantic-search/readme), predictive and tabular AI, and document processing. It encompasses patterns for leveraging Foundation Models and Large Language Models (LLMs) through prompting, as well as frameworks like Intelligent Scenario Lifecycle Management (ISLM) for standardized AI lifecycle management.