Svrnty
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e810c72ffa
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feat: port VLM + FLUX from BTE (Phase 4b)
VLM router (POST /vlm/analyze):
- Proxies to Spark 2 (Qwen3-VL via vLLM, OpenAI-compatible /v1/chat/completions)
- Port of BTE Svrnty.Bte.Domain/Features/AssetContext/OpenAiVlmClient.cs
+ VlmRubric.cs (rubric prompt builder + score parser)
- Anthropic dialect intentionally dropped — sovereign-only
- New rubric_mode="raw" passes brand_context through verbatim so BTE
ExtractBrandSaga / ImageSetSourceReader (extraction-style prompts that
expect their own JSON schema) get unwrapped JSON back without losing
the score-axis path
FLUX router (POST /flux/render):
- Proxies to Spark 1 (FLUX.2-dev on ComfyUI; /prompt + /history poll + /view)
- Port of SparkBComfyClient.cs + LocalFluxImageProvider.cs + StopgapFluxWorkflow.cs
- Accepts a pre-assembled workflow_json (BTE IRecipeAssembler emits one)
or builds the stopgap FLUX.2 graph from prompt + dims
Tests (pytest):
- test_vlm_parse.py — rubric prompt + score parse, 502 on Spark-down, mocked round-trip
- test_flux_workflow.py — stopgap graph shape, seed variance/determinism, 502 on Spark-down
- test_healthz.py updated (palette/rembg still 4a stubs)
16 pytest tests green.
Smoke (no Spark reachable):
- GET /healthz → 200 {"status":"ok"}
- POST /vlm/analyze → 502 "Spark 2 unreachable" (clear error)
- POST /flux/render → 502 "Spark 1 unreachable" (clear error)
Per BTE refactor audit §3 V — vision capabilities extracted from BTE to the
sovereign vision gateway. Phase 4c (delete-from-BTE) + Phase 4d (HTTP adapter)
follow in BTE.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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2026-05-24 14:05:19 -04:00 |
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