Plan: Vision — Image Understanding Capability

Goal: Maven can "see" — accept images (from mavweb upload, Telegram, or filesystem paths), store them, run inference via a local multimodal model, and answer questions about the image content or extract text from it.

Status (2026-08-01): intake, storage, config seam and the provider are shipped. The describing half is BLOCKED on a model download — see "What is blocked" below.

What shipped

Piece	Where
Blob store (content-addressed, retention-pruned)	`internal/media/store.go`
Image decode / flatten / downscale / JPEG	`internal/media/image.go`
`Provider` seam + `Disabled` floor + `LocalProvider`	`internal/vision/vision.go`
Store-then-describe orchestration, re-runnable	`internal/vision/intake.go`
Config blocks `media` and `vision`	`internal/config/config.go`
IPC method `describe_image` (`AuthRead`)	`internal/ipc/{wire,api,client,server}.go`, `internal/auth/policy.go`
Daemon wiring + hourly retention prune	`cmd/mavend/vision.go`

internal/media is deliberately shared: hearing (V-253) and speaker recognition (V-255) have the same intake problem — a blob arrives, gets stored, gets described — and they store their audio in the same place under the same retention.

Design decisions worth knowing

Store before describe. Intake.Accept writes the blob to disk first, then asks the model. If the model is missing or broken — which is this box's actual state — the answer is "it's kept, I can't read it yet" with a content-addressed id, and Intake.Rerun(id, question) describes it later. Nothing is lost to a missing model.

No RemoteProvider. The original step 3 called for "an OpenAI-compatible vision API endpoint". Refused. The surviving hard constraint in CLAUDE.md after "never phones home" was deprecated is no cloud model, inference stays on the box, and a photo of his flat is the worst possible exception. vision.NewLocal therefore validates the endpoint at construction: loopback, a private IP, or localhost. A hostname is refused too — it could resolve anywhere, and resolving it would mean trusting DNS with his pictures.

Blobs are not in the database. The sqlite store is small, encrypted and read every tick; a 40 MB blob has no business there. What lands in the database is the text the blob produced, as an ordinary note (source: media:image:<id-prefix>), and only when the caller asks for it (save_note). Glancing at a screenshot is not the same act as remembering it.

Images are never search input and never embedded. Only the derived description participates in recall, and only after he can see it as a note.

Retention is enforced by a loop, not by a promise. media.retention defaults to 7 days and cmd/mavend prunes hourly, starting at boot. A store that grows forever would be the real failure mode of this capability.

No webp. The stdlib has no webp decoder and this repo takes no new dependencies (the box is offline). media.SniffImage recognises webp well enough to refuse it by name, so the log says "webp is not supported" instead of "not an image". Telegram sends webp for stickers; that is a known gap, not a mystery.

Text extraction is not a second method. "прочитай текст с картинки" is a prompt. A VLM has no separate OCR mode to select, and a second interface method would only duplicate the first.

What is blocked, and on what

There is no vision-capable gguf and no mmproj file on this box. Checked 2026-08-01:

/mnt/hdd1/llms/{Bonsai,LFM2.5,llama3.2,ministral,nemotron3-nano,qwen3,qwen3.5}

— sixteen ggufs, all text-only, no *mmproj* anywhere. The resident Qwen3-1.7B is text-only by construction, so vision needs a second model. The ≤1.7B ceiling in CLAUDE.md is about the resident router/phraser, not about a second model loaded on demand — but iGPU VRAM still is, so keep it small.

To unblock, download one pair to /mnt/hdd1/llms/vision/ (bind-mounted to /opt/maven/models/llm), a gguf and its mmproj:

Qwen2.5-VL-3B-Instruct (Q4_K_M + mmproj-F16.gguf) — the safe default; reads Russian, and its OCR is the best of this size class.
SmolVLM2-2.2B-Instruct — smaller and faster, weaker at Cyrillic text in images.
moondream2 — smallest, English-only in practice. Do not bother, per the sub-500M lesson.

Then run a second llama-server on 8081 with --mmproj, point vision.endpoint at it, and walk the QA steps on V-252.

Config

"media": { "dir": "media", "retention": "168h", "max_bytes": 67108864 },
"vision": {
  "enabled": true,
  "endpoint": "http://127.0.0.1:8081",
  "model": "qwen2.5-vl-3b",
  "max_dim": 896,
  "max_tokens": 300,
  "timeout": "90s"
}

Both absent by default. No media block ⇒ describe_image does not exist at all; a media block with no vision block ⇒ images are stored and honestly not described.

Still open

Router intent. "что на картинке?" does not route anywhere yet. Adding an intent is premature while nothing can answer it; the IPC method is the surface a Telegram photo or a mavweb upload calls today.
Telegram photo path in mavpoll (download the file, call DescribeImage).
mavweb upload page and a /media listing so stored blobs are visible and deletable from the authed surface.

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