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OpenJarvis can run vision-capable local models (gemma3, qwen2.5-vl), but the CLI had no way to send them a picture -- the Ollama engine only serialized text. This adds end-to-end image input. What's new - `jarvis ask -i/--image <file>` attaches one or more images to the query. - `jarvis ask -S/--screen` captures the primary monitor (dependency-free on Windows via .NET; mss/Pillow fallback elsewhere). - Vision auto-routes to direct-to-engine mode; with an explicit --agent it warns rather than silently dropping the image. - Privacy guard: warns before sending an image to a non-local engine, keeping OpenJarvis local-first by default. - Context-window default raised 8k -> 16k (JARVIS_NUM_CTX) so an image plus a conversation fit. Implementation - Message.images carries base64 data; messages_to_dicts() forwards it to Ollama's /api/chat "images" field. Text-only messages are unchanged. - GuardrailsEngine preserves images when it rewrites a flagged message. Tests (tests/test_vision.py, 6/6 pass, ruff-clean) - payload forwarding, text path untouched, num_ctx override, guardrail image preservation. Verified on AMD RX 9070 XT (Ollama/Vulkan, 100% GPU) with gemma3:4b: solid-color image, file image, and live screen capture all described. Co-authored-by: Claude Opus 4.8 <noreply@anthropic.com> Co-authored-by: Jon Saad-Falcon <jonsaadfalcon@gmail.com>