Vision (Image Understanding)

Keep your text model as the default. When you attach an image and your active model can't read images, Bodega routes just that question to a vision model and brings the answer back - your text model stays in place.

Three paths, depending on your setup:

• Cloud model (GPT-4o, Claude, Gemini) - reads the image directly. No swap, nothing to install.
• Ollama - uses an Ollama vision model directly; no process swap.
• llama.cpp - briefly hot-swaps to your downloaded vision model, answers, then restores your text model (see below).

1. Drag an image file onto the chat input, or click + → Attach Screenshot to capture one.
2. Ask your question about it.
3. The answer streams back in the conversation.

Works in both Chat and Code mode.

On llama.cpp, Bodega owns one model process, so seeing an image means temporarily loading the vision model. You'll see a brief "switching to the vision model" indicator with progress - the first load takes ~10–60s while weights load; subsequent queries are fast. After the answer, your text model is loaded back automatically.

Choose how vision is handled in Settings → Models → Vision - prefer the no-swap engine (Ollama) when one is available, or allow the llama.cpp swap.

Download a VLM from Models → Discover:

• Qwen2.5-VL - strong general-purpose vision
• LLaVA - widely supported
• Moondream - tiny, fast, low-VRAM

Ollama also has its own vision models. Once a VLM is installed, the routing above picks it up automatically - no role assignment needed.