Files
ra-h-os/tests/evals/scenarios/archive/search-embeddings.ts
T
“BeeRad” 4c75df101f feat: sync runtime search and schema quality updates from app repo
- port retrieval, validation, and eval improvements relevant to os
- align prompts and dimensions with the flat single-agent model
- replace the old eval suite with the focused core scenarios

Generated with Codex
2026-03-15 14:55:45 +11:00

16 lines
453 B
TypeScript

import { Scenario } from '../types';
export const scenario: Scenario = {
id: 'search-embeddings',
name: 'Embedding search triggers retrieval',
description: 'Semantic search over stored knowledge.',
tools: ['searchContentEmbeddings', 'queryNodes'],
input: {
message: 'Find my notes about deep learning architectures.',
},
expect: {
toolsCalledSoft: ['searchContentEmbeddings'],
responseContainsSoft: ['found', 'node'],
},
};