svrnty-vision

Sovereign vision HTTP gateway. FastAPI shell that exposes four endpoints:

Endpoint	Purpose	Implementation
POST /vlm/analyze	Vision-language model evaluation	Proxies to Spark 2 (Qwen3-VL via vLLM)
POST /flux/render	Image generation	Proxies to Spark 1 (FLUX on ComfyUI)
POST /palette/extract	Dominant-color palette	In-process (Pillow + colorthief)
POST /rembg/cutout	Background removal	In-process (rembg)

Plus GET /healthz for liveness.

Why it exists

Brand Truth Engine (BTE) is a .NET 10 + Svrnty.CQRS service. Vision tooling (VLM, image gen, palette, rembg) was originally embedded in BTE with cloud provider SDKs (Anthropic, OpenAI, Google, Higgsfield). Per the 2026-05-24 refactor audit, that surface is extracted into this sibling repo so BTE stays narrow and sovereign-first.

Architecture invariant

svrnty-vision is a thin HTTP gateway — it does NOT run heavy ML models in-process. Qwen3-VL runs on Spark 2 (vLLM). FLUX runs on Spark 1 (ComfyUI). svrnty-vision orchestrates HTTP calls to those services and normalises the responses for BTE.

The two in-process exceptions (palette, rembg) are CPU-light Python libraries — Pillow/colorthief and rembg respectively. They land in 4b.

Status

Phase 4a (this commit): scaffold only. All four endpoints return HTTP 501 Not Implemented. /healthz returns 200.

Phase 4b will port the real logic. Phase 4c deletes the corresponding .NET code from BTE. Phase 4d wires BTE to call svrnty-vision over HTTP. See /home/svrnty/workspaces/hermes/sot/01-ROADMAP/BTE-REFACTOR-EXECUTION-PLAN.md.

Run

python -m venv .venv
source .venv/bin/activate
pip install -r requirements.txt
pip install -e .                       # required: src/ layout

# either:
python -m svrnty_vision.server
# or:
uvicorn svrnty_vision.server:app --port 8090

curl http://localhost:8090/healthz
# {"status":"ok","version":"0.1.0"}

Test

pytest tests/

Configuration

Copy .env.example to .env and edit. All settings have safe defaults for local development (Spark 1/2 hostnames are placeholders).