Add image search with local cache (Phase 23)
Images found via SearXNG are fetched server-side, stored on disk, and served from /api/images/<id> — the user's browser never contacts the original image host. Original URLs are preserved for citation. New files: - alembic/versions/0016_add_image_cache.py — image_cache table - src/fabledassistant/models/image_cache.py — SQLAlchemy model - src/fabledassistant/services/images.py — fetch/store/serve logic - src/fabledassistant/routes/images.py — GET /api/images/<id> Modified: - config.py: IMAGE_CACHE_DIR (/data/images), IMAGE_MAX_BYTES (5 MB) - research.py: _search_searxng_images() — SearXNG categories=images - tools.py: _IMAGE_TOOLS def + search_images branch in execute_tool - intent.py: search_images routing rule (explicit visual language only) - app.py: register images_bp - docker-compose.yml: image_cache named volume mounted at /data/images - ToolCallCard.vue: "image_search" label Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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@@ -8,13 +8,19 @@ services:
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condition: service_healthy
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ollama:
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condition: service_started
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volumes:
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- image_cache:/data/images
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# To use a bind mount instead (gives direct host access to cached images):
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# - ./image_cache:/data/images
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environment:
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DATABASE_URL: "postgresql+asyncpg://${POSTGRES_USER:-fabled}:${POSTGRES_PASSWORD:-fabled}@db:5432/${POSTGRES_DB:-fabledassistant}"
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OLLAMA_URL: "http://ollama:11434"
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OLLAMA_MODEL: "${OLLAMA_MODEL:-llama3.1}"
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SECRET_KEY: "${SECRET_KEY:-dev-secret-change-me}"
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# Uncomment and set to enable web research via SearXNG:
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# Uncomment and set to enable web research and image search via SearXNG:
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# SEARXNG_URL: "http://searxng:8080"
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# IMAGE_CACHE_DIR: /data/images # default, change if using a different mount path
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# IMAGE_MAX_BYTES: "5242880" # 5 MB per image, adjust if needed
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healthcheck:
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test: ["CMD", "python", "-c", "import urllib.request; urllib.request.urlopen('http://localhost:5000/api/health')"]
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interval: 10s
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@@ -56,3 +62,4 @@ services:
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volumes:
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pgdata:
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ollama_models:
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image_cache:
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