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openspec/specs/context-aware-image-selection-recovery/spec.md

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+## 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 including keywords and mood/sentiment cues.
+
+#### Scenario: Context-enriched query
+- **WHEN** a queued article is processed for image refetch
+- **THEN** the system derives query terms from article headline/summary content
+- **AND** includes mood/sentiment-informed cues to improve relevance
+
+### Requirement: AI-domain fallback keywords
+When context extraction is insufficient, 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`
+
+### 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