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Boundary prompt

As explained in Machine Learning Platform Engineering

A boundary prompt is a fallback prompt that provides guidance when a request is outside an application's supported knowledge domain.

A boundary prompt is a production fallback for requests outside an application's supported knowledge domain. It replaces generic errors with specific, contextual guidance. section 13.1.2

Langfuse-managed fallback

Store a production-labeled dakkabot-boundary prompt in Langfuse, compile it with topic and contact_channel values, and return the resulting guidance when normal processing fails.

How Machine Learning Platform Engineering covers it

How deep it goes
Explains templating, deployment labeling, and exception-path integration, but stops short of domain-detection logic.
Examples
Uses DataKrypt support channels, topic and contact variables, and a Langfuse-managed dakkabot-boundary prompt.
What it assumes
Assumes familiarity with asynchronous application code, prompt templates, and exception handling.
What you can do after
Operate Langfuse to compile contextual fallback responses and expose fallback status to callers.
How it connects
Connects prompt management, error handling, and retrieval-augmented generation.
Cover of Machine Learning Platform Engineering
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Related concepts

This explainer was generated by Manning's knowledge graph from the text of Machine Learning Platform Engineering. The section links point to the parts of the book it draws on.