ml-llm-service-spec

name	ml-llm-service-spec
description	Use when the user wants the integration contract for an ML or LLM service: API/tool methods, input/output schema, data contract rules, prompt hierarchy, retries, confidence routing, and fallback behavior.

ML / LLM Service Spec

Read:

• ../../../ML LLM Delivery Pipeline/04 Service Spec Template.md

Use this skill when another team or service must integrate with the ML/LLM component.

Cover

• service boundary and responsibility
• consumers and dependencies
• API or tool methods
• input schema
• output schema
• data contract rules
• prompting and source hierarchy
• error handling and retries
• confidence and routing rules
• edge cases and fallback behavior

Guardrails

• Be explicit about schema and contract behavior.
• Keep business context short and operational detail secondary.