LLM Workflows
LLM Workflows formalize the orchestration of input preparation, model invocation, output handling and evaluation when building applications with large language models. They define steps for prompt engineering, batching, caching, logging, and safety checks to ensure reliability and reproducibility. Suitable for productionizing LLM-based features across platforms.
This block bundles baseline information, context, and relations as a neutral reference in the model.
Reference building block
This building block serves as a structured reference in the knowledge model, with core data, context, and direct relationships.
What is this view?
This page provides a neutral starting point with core facts, structure context, and immediate relations—independent of learning or decision paths.
Baseline data
Context in the model
Structural placement
Where this block lives in the structure.
No structure path available.
Relations
Connected blocks
Directly linked content elements.