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This section reports the explanations of the main concepts used in Adaline’s documentation base.

Rubric

A ‘rubric’ is a structured list of criteria or questions that the LLM-as-a-judge evaluator uses to score the LLM’s response.

Span

A ‘span’ records a specific operation (like an LLM request, tool call, etc.) within a trace. A span contains details about the operation, performance metrics, metadata, input/output of the operation, and links to parent and child spans.
NOTE: In Adaline, a prompt represents a type of LLM request happening in your AI agent / workflow. Each span sent to Adaline capturing a LLM request operation should ideally be associated with a prompt.

Test Case

In Adaline, a ‘test case’ is a set of variables values.

Trace

A ‘trace’ maps the entire lifecycle of a request served by your AI agent / workflow. A trace contains details about the request, performance metrics, metadata, and one or more spans.
NOTE: In Adaline, a project represents an AI agent / workflow and each trace sent to Adaline must be associated with a project.