## Purpose

Canonical specification for context-aware-image-selection-recovery requirements synced from OpenSpec change deltas.

## Requirements

### Requirement: Context-aware image query generation
Image refetch SHALL construct provider queries from article context by identifying main subject keywords from headline and summary content.

#### Scenario: Context-enriched query
- **WHEN** a queued article is processed for image refetch
- **THEN** the system derives main-subject query terms from article headline and summary
- **AND** includes relevance-supporting cues for improved candidate quality

### Requirement: AI-domain fallback keywords
When context extraction is insufficient or confidence is low, the system SHALL use AI-domain fallback keywords.

#### Scenario: Empty or weak context extraction
- **WHEN** extracted context terms are empty or below quality threshold
- **THEN** the system applies fallback terms such as `ai`, `machine learning`, `deep learning`
- **AND** continues candidate search with deterministic fallback ordering

### Requirement: Generic AI fallback image on terminal failure
If no usable provider image is returned, the system SHALL assign a generic AI fallback image.

#### Scenario: Provider chain exhaustion
- **WHEN** all provider attempts fail or return unusable images
- **THEN** the system stores a generic AI fallback image for the article
