docs/adr/0023-image-doc-surfaces.md

@@ -0,0 +1,59 @@
+# ADR-0023: Wave-3 image + document surfaces (segmentation, colorize, face restore, OCR)
+
+Status: Accepted (2026-07-16)
+
+## Context
+
+The llama-swap host is gaining four wave-3 capabilities (spec:
+mort docs/specs/2026-07-16-llamaswap-wave3.md): promptable segmentation
+(GroundingDINO + SAM 2.1), photo colorization (DDColor), face restoration
+(GFPGAN), and document OCR (Surya). All ride the `/upstream/<model>/<path>`
+passthrough (ADR-0020); none of their native APIs are OpenAI-shaped.
+
+## Decision
+
+1. **Grow `imagegen` with three optional interfaces**, ADR-0016→0022
+   conventions (functional options, zero value = backend default, bytes-only
+   I/O, provider mints model):
+   - `imagegen.Segmenter` / `SegmentationProvider` — `SegmentationRequest
+     {Image, Prompt, Threshold}` → one grayscale mask image, WHITE = the
+     prompted region. Same polarity as `EditRequest.Mask` (white = repaint),
+     so the mask feeds inpainting directly; cutouts are derived client-side
+     (mask-as-alpha), one host call serving both. The client always sends
+     `output=mask` — the shim's `cutout`/`boxes` modes are not exposed.
+   - `imagegen.Colorizer` / `ColorizeProvider` — `ColorizeRequest{Image}`,
+     no knobs (the reference backend takes none; options reserved).
+   - `imagegen.FaceRestorer` / `FaceRestoreProvider` —
+     `FaceRestoreRequest{Image, Upscale}` (1 or 2, 0 = backend default).
+2. **New `ocr` leaf package** rather than a method on an existing surface:
+   OCR is document-shaped (multi-page, PDFs), not image-generation-shaped.
+   `Request{Document, MIME, Filename, Languages, MaxPages}` →
+   `Result{Text, Pages []Page{Number, Text}, Raw}`. `Result.Text` is the
+   pages joined with a blank line; the per-line bbox/confidence/layout
+   detail stays in `Raw` (json.RawMessage) — exact text is the contract,
+   geometry is the escape hatch.
+3. **provider/llamaswap wire shapes** (pinned by the netherstorm image
+   builds; host smoke tests are the drift defence):
+   - `POST /upstream/<id>/v1/segment` multipart `file`,`prompt`
+     [,`threshold`],`output=mask` → mask PNG.
+   - `POST /upstream/<id>/v1/colorize` multipart `file` → PNG.
+   - `POST /upstream/<id>/v1/restore_faces` multipart `file`[,`upscale`] → PNG.
+   - `POST /upstream/<id>/v1/ocr` multipart `file`[,`langs` (comma-joined),
+     `max_pages`] → JSON `{pages:[{number,text,lines,layout}]}`. The decode
+     is tolerant: a page without aggregate `text` joins its line texts; a
+     missing page `number` defaults to position. Zero pages is an error
+     (a blank page still arrives as a page), mirroring the "no transcript"
+     honesty rule.
+4. **Binary success bodies are validated before wrapping** (ADR-0020 rule):
+   the three image surfaces reuse `singleImageResult` (positive evidence of
+   image-ness required), OCR requires decodable JSON.
+
+## Consequences
+
+- imagegen grows from five to eight optional surfaces; consumers
+  type-assert or use the provider methods directly, as before.
+- `ocr` is the seventh leaf media package (imagegen, audio, videogen,
+  meshgen, musicgen, embeddings, ocr); the conventions have held across all
+  of them.
+- PDF handling lives host-side (the shim rasterizes via pypdfium2);
+  majordomo ships bytes and never needs a PDF dependency.

docs/adr/README.md

@@ -23,3 +23,7 @@ One decision per file, append-only; supersede rather than rewrite.
 | [0017](0017-audio-interfaces.md) | audio — canonical speech synthesis + transcription interfaces | Accepted |
 | [0018](0018-imagegen-editor.md) | imagegen.Editor — image-to-image as a separate optional interface | Accepted |
 | [0019](0019-videogen-interface.md) | videogen — canonical video-generation surface | Accepted |
+| [0020](0020-upstream-passthrough-media-surfaces.md) | Upstream-passthrough media surfaces (mask, upscale, background removal, interpolation, diarization, meshgen) | Accepted |
+| [0021](0021-musicgen-interface.md) | musicgen — blocking Generate over an async job queue | Accepted |
+| [0022](0022-embeddings-rerank-interface.md) | embeddings + rerank interface | Accepted |
+| [0023](0023-image-doc-surfaces.md) | Wave-3 image + document surfaces (segmentation, colorize, face restore, OCR) | Accepted |

imagegen/colorize.go

@@ -0,0 +1,54 @@
+package imagegen
+
+import "context"
+
+// ColorizeRequest asks a colorization backend (DDColor style) to add color to
+// a grayscale/faded photo (ADR-0023).
+type ColorizeRequest struct {
+	// Image is the image to colorize. Required.
+	Image Image
+}
+
+// ColorizeOption mutates a ColorizeRequest before it is sent. Reserved for
+// future request settings (the reference backend takes no parameters).
+type ColorizeOption func(*ColorizeRequest)
+
+// Apply returns a copy of the request with all options applied.
+func (r ColorizeRequest) Apply(opts ...ColorizeOption) ColorizeRequest {
+	for _, opt := range opts {
+		opt(&r)
+	}
+	return r
+}
+
+// Colorizer adds color to grayscale images.
+type Colorizer interface {
+	// Colorize returns the colorized image as a one-image Result.
+	Colorize(ctx context.Context, req ColorizeRequest, opts ...ColorizeOption) (*Result, error)
+}
+
+// ColorizeModelOption configures a Colorizer at construction time. Reserved
+// for future per-model settings.
+type ColorizeModelOption func(*ColorizeModelConfig)
+
+// ColorizeModelConfig carries per-model construction settings.
+type ColorizeModelConfig struct{}
+
+// ApplyColorizeModelOptions folds options into a config.
+func ApplyColorizeModelOptions(opts []ColorizeModelOption) ColorizeModelConfig {
+	var cfg ColorizeModelConfig
+	for _, opt := range opts {
+		opt(&cfg)
+	}
+	return cfg
+}
+
+// ColorizeProvider mints Colorizers bound to one backend.
+type ColorizeProvider interface {
+	// Name is the registry identifier for the provider.
+	Name() string
+
+	// ColorizeModel returns a Colorizer bound to the given id (passed through
+	// to the backend verbatim; no catalog validation).
+	ColorizeModel(id string, opts ...ColorizeModelOption) (Colorizer, error)
+}

imagegen/facerestore.go

@@ -0,0 +1,62 @@
+package imagegen
+
+import "context"
+
+// FaceRestoreRequest asks a face-restoration backend (GFPGAN style) to repair
+// degraded faces in a photo. Zero values mean "backend default" (ADR-0023).
+type FaceRestoreRequest struct {
+	// Image is the image to restore. Required.
+	Image Image
+
+	// Upscale is the output enlargement factor (1 or 2 on the reference
+	// backend); 0 = backend default.
+	Upscale int
+}
+
+// FaceRestoreOption mutates a FaceRestoreRequest before it is sent.
+type FaceRestoreOption func(*FaceRestoreRequest)
+
+// WithFaceRestoreUpscale sets the output enlargement factor.
+func WithFaceRestoreUpscale(n int) FaceRestoreOption {
+	return func(r *FaceRestoreRequest) { r.Upscale = n }
+}
+
+// Apply returns a copy of the request with all options applied.
+func (r FaceRestoreRequest) Apply(opts ...FaceRestoreOption) FaceRestoreRequest {
+	for _, opt := range opts {
+		opt(&r)
+	}
+	return r
+}
+
+// FaceRestorer repairs degraded/blurry faces in photos.
+type FaceRestorer interface {
+	// RestoreFaces returns the restored image as a one-image Result.
+	RestoreFaces(ctx context.Context, req FaceRestoreRequest, opts ...FaceRestoreOption) (*Result, error)
+}
+
+// FaceRestoreModelOption configures a FaceRestorer at construction time.
+// Reserved for future per-model settings.
+type FaceRestoreModelOption func(*FaceRestoreModelConfig)
+
+// FaceRestoreModelConfig carries per-model construction settings.
+type FaceRestoreModelConfig struct{}
+
+// ApplyFaceRestoreModelOptions folds options into a config.
+func ApplyFaceRestoreModelOptions(opts []FaceRestoreModelOption) FaceRestoreModelConfig {
+	var cfg FaceRestoreModelConfig
+	for _, opt := range opts {
+		opt(&cfg)
+	}
+	return cfg
+}
+
+// FaceRestoreProvider mints FaceRestorers bound to one backend.
+type FaceRestoreProvider interface {
+	// Name is the registry identifier for the provider.
+	Name() string
+
+	// FaceRestoreModel returns a FaceRestorer bound to the given id (passed
+	// through to the backend verbatim; no catalog validation).
+	FaceRestoreModel(id string, opts ...FaceRestoreModelOption) (FaceRestorer, error)
+}

imagegen/segment.go

@@ -0,0 +1,70 @@
+package imagegen
+
+import "context"
+
+// SegmentationRequest asks a promptable-segmentation backend (GroundingDINO +
+// SAM style) for the mask of a text-described region. Zero values mean
+// "backend default" (ADR-0023).
+type SegmentationRequest struct {
+	// Image is the image to segment. Required.
+	Image Image
+
+	// Prompt is the text description of the region to segment (e.g. "the red
+	// car"). Required — promptless segmentation is a different capability.
+	Prompt string
+
+	// Threshold is the detection confidence threshold in (0,1]; 0 = backend
+	// default.
+	Threshold float64
+}
+
+// SegmentationOption mutates a SegmentationRequest before it is sent.
+type SegmentationOption func(*SegmentationRequest)
+
+// WithSegmentationThreshold sets the detection confidence threshold.
+func WithSegmentationThreshold(t float64) SegmentationOption {
+	return func(r *SegmentationRequest) { r.Threshold = t }
+}
+
+// Apply returns a copy of the request with all options applied.
+func (r SegmentationRequest) Apply(opts ...SegmentationOption) SegmentationRequest {
+	for _, opt := range opts {
+		opt(&r)
+	}
+	return r
+}
+
+// Segmenter extracts a prompted region's mask from an image. The result is a
+// single grayscale mask image where WHITE marks the prompted region — the
+// same polarity as EditRequest.Mask (white = repaint), so it feeds inpainting
+// directly; derive a cutout client-side by applying the mask as alpha.
+type Segmenter interface {
+	// Segment returns the region mask as a one-image Result.
+	Segment(ctx context.Context, req SegmentationRequest, opts ...SegmentationOption) (*Result, error)
+}
+
+// SegmentationModelOption configures a Segmenter at construction time.
+// Reserved for future per-model settings (mirrors ModelOption).
+type SegmentationModelOption func(*SegmentationModelConfig)
+
+// SegmentationModelConfig carries per-model construction settings.
+type SegmentationModelConfig struct{}
+
+// ApplySegmentationModelOptions folds options into a config.
+func ApplySegmentationModelOptions(opts []SegmentationModelOption) SegmentationModelConfig {
+	var cfg SegmentationModelConfig
+	for _, opt := range opts {
+		opt(&cfg)
+	}
+	return cfg
+}
+
+// SegmentationProvider mints Segmenters bound to one backend.
+type SegmentationProvider interface {
+	// Name is the registry identifier for the provider.
+	Name() string
+
+	// SegmentationModel returns a Segmenter bound to the given id (passed
+	// through to the backend verbatim; no catalog validation).
+	SegmentationModel(id string, opts ...SegmentationModelOption) (Segmenter, error)
+}

ocr/ocr.go

@@ -0,0 +1,114 @@
+// Package ocr is majordomo's canonical document text-recognition surface.
+// Like imagegen/audio/videogen/musicgen, it is a deliberately separate leaf
+// contract from the llm package (ADR-0023, following the ADR-0016→0022
+// lineage: functional options, zero values = backend default, bytes-only
+// I/O, Raw escape hatch). OCR is not chat-vision: it targets dedicated
+// detection+recognition models (Surya style) that return exact per-page,
+// per-line text rather than a model's paraphrase.
+//
+// The first implementation is provider/llamaswap, which posts the document
+// to a Surya shim through the /upstream passthrough; the shim rasterizes
+// PDFs itself, so Document may be an image (png/jpg/webp) or a PDF.
+package ocr
+
+import "context"
+
+// Request is a text-recognition request. Zero values mean "backend default".
+type Request struct {
+	// Document is the encoded document to recognize: an image (png/jpg/webp)
+	// or a PDF. Required. Carried as bytes, never a URL.
+	Document []byte
+
+	// MIME is the document MIME type (e.g. "image/png", "application/pdf");
+	// "" = let the backend sniff it.
+	MIME string
+
+	// Filename is the multipart filename hint some backends key their format
+	// detection on; "" derives one from MIME ("document.pdf") or falls back
+	// to "document".
+	Filename string
+
+	// Languages are ISO-639 hints for the recognizer (e.g. "en", "de");
+	// nil = backend default (auto/multilingual).
+	Languages []string
+
+	// MaxPages caps how many pages of a multi-page document are recognized;
+	// 0 = backend default (all pages, up to the backend's own ceiling).
+	MaxPages int
+}
+
+// Page is the recognized text of one page.
+type Page struct {
+	// Number is the 1-based page number.
+	Number int
+
+	// Text is the page's recognized text.
+	Text string
+}
+
+// Result is the canonical text-recognition result.
+type Result struct {
+	// Text is the full recognized text, pages joined in order.
+	Text string
+
+	// Pages are the per-page results in page order.
+	Pages []Page
+
+	// Raw is the provider-native response object (e.g. the per-line
+	// bbox/confidence/layout detail), an escape hatch for provider-specific
+	// fields. May be nil; never required for normal use.
+	Raw any
+}
+
+// Option mutates a Request before it is sent. Options passed to Recognize are
+// applied to a copy of the request, so a Request value can be reused.
+type Option func(*Request)
+
+// WithLanguages sets the recognizer language hints.
+func WithLanguages(langs ...string) Option {
+	return func(r *Request) { r.Languages = langs }
+}
+
+// WithMaxPages caps how many pages are recognized.
+func WithMaxPages(n int) Option { return func(r *Request) { r.MaxPages = n } }
+
+// Apply returns a copy of the request with all options applied. Providers
+// call this once at the top of Recognize.
+func (r Request) Apply(opts ...Option) Request {
+	for _, opt := range opts {
+		opt(&r)
+	}
+	return r
+}
+
+// Model recognizes text in documents.
+type Model interface {
+	// Recognize extracts the document's text, page by page.
+	Recognize(ctx context.Context, req Request, opts ...Option) (*Result, error)
+}
+
+// ModelOption configures a Model at construction time. Reserved for future
+// per-model settings.
+type ModelOption func(*ModelConfig)
+
+// ModelConfig carries per-model construction settings.
+type ModelConfig struct{}
+
+// ApplyModelOptions folds options into a config.
+func ApplyModelOptions(opts []ModelOption) ModelConfig {
+	var cfg ModelConfig
+	for _, opt := range opts {
+		opt(&cfg)
+	}
+	return cfg
+}
+
+// Provider mints OCR models bound to one backend.
+type Provider interface {
+	// Name is the registry identifier for the provider.
+	Name() string
+
+	// OCRModel returns a Model bound to the given id (passed through to the
+	// backend verbatim; no catalog validation).
+	OCRModel(id string, opts ...ModelOption) (Model, error)
+}

provider/llamaswap/ocr.go

@@ -0,0 +1,140 @@
+// ocr.go implements ocr.Provider against a Surya-style shim reached through
+// llama-swap's /upstream passthrough (ADR-0023):
+//
+//	POST /upstream/<id>/v1/ocr   multipart file[,langs,max_pages]
+//
+// The document may be an image or a PDF (the shim rasterizes PDFs itself).
+// The response is per-page JSON: {pages:[{number,text,lines,layout}]}. The
+// decode is tolerant — when a page carries no aggregate `text`, its line
+// texts are joined instead — and the full payload survives in Result.Raw for
+// callers that want bboxes/confidence/layout.
+package llamaswap
+
+import (
+	"context"
+	"encoding/json"
+	"fmt"
+	"mime"
+	"net/http"
+	"strconv"
+	"strings"
+
+	"gitea.stevedudenhoeffer.com/steve/majordomo/llm"
+	"gitea.stevedudenhoeffer.com/steve/majordomo/ocr"
+)
+
+// OCRModel implements ocr.Provider. The id selects which upstream llama-swap
+// loads.
+func (p *Provider) OCRModel(id string, opts ...ocr.ModelOption) (ocr.Model, error) {
+	if err := p.requireBaseURL(); err != nil {
+		return nil, err
+	}
+	_ = ocr.ApplyModelOptions(opts)
+	return &ocrModel{p: p, id: id}, nil
+}
+
+type ocrModel struct {
+	p  *Provider
+	id string
+}
+
+// ocrResponse is the Surya shim's /v1/ocr shape (the subset this package
+// relies on; per-line bbox/confidence and layout stay in Raw).
+type ocrResponse struct {
+	Pages []struct {
+		Number int    `json:"number"`
+		Text   string `json:"text"`
+		Lines  []struct {
+			Text string `json:"text"`
+		} `json:"lines"`
+	} `json:"pages"`
+}
+
+// Recognize implements ocr.Model.
+func (m *ocrModel) Recognize(ctx context.Context, req ocr.Request, opts ...ocr.Option) (*ocr.Result, error) {
+	req = req.Apply(opts...)
+	if len(req.Document) == 0 {
+		return nil, fmt.Errorf("%w: ocr requires document bytes", llm.ErrUnsupported)
+	}
+	if req.MaxPages < 0 {
+		return nil, fmt.Errorf("%w: ocr max pages must be >= 0, got %d", llm.ErrUnsupported, req.MaxPages)
+	}
+	path, err := upstreamPath(m.id, "/v1/ocr")
+	if err != nil {
+		return nil, err
+	}
+	maxPages := ""
+	if req.MaxPages != 0 {
+		maxPages = strconv.Itoa(req.MaxPages)
+	}
+	body, contentType, err := buildMultipart("build ocr form",
+		filePart{field: "file", filename: documentFilename(req.Filename, req.MIME), data: req.Document},
+		[]formField{
+			{"langs", strings.Join(req.Languages, ","), false},
+			{"max_pages", maxPages, false},
+		})
+	if err != nil {
+		return nil, err
+	}
+	raw, _, err := m.p.doRaw(ctx, http.MethodPost, path, m.id, contentType, body, maxResponseBytes)
+	if err != nil {
+		return nil, err
+	}
+
+	var out ocrResponse
+	if err := json.Unmarshal(raw, &out); err != nil {
+		return nil, fmt.Errorf("llama-swap: decode ocr response: %w", err)
+	}
+	if len(out.Pages) == 0 {
+		// A blank page still comes back as a page with empty text; zero pages
+		// is API drift or a soft error, never "the document was empty".
+		return nil, &llm.APIError{Provider: m.p.name, Model: m.id,
+			Message: "ocr response contained no pages: " + truncateForError(raw)}
+	}
+	res := &ocr.Result{Raw: json.RawMessage(raw)}
+	texts := make([]string, 0, len(out.Pages))
+	for i, pg := range out.Pages {
+		text := pg.Text
+		if text == "" && len(pg.Lines) > 0 {
+			lines := make([]string, 0, len(pg.Lines))
+			for _, ln := range pg.Lines {
+				lines = append(lines, ln.Text)
+			}
+			text = strings.Join(lines, "\n")
+		}
+		number := pg.Number
+		if number == 0 {
+			number = i + 1
+		}
+		res.Pages = append(res.Pages, ocr.Page{Number: number, Text: text})
+		texts = append(texts, text)
+	}
+	res.Text = strings.Join(texts, "\n\n")
+	return res, nil
+}
+
+// documentFilename picks the multipart filename hint for an OCR document: the
+// caller's (sanitized), else one derived from the MIME subtype
+// ("document.pdf"), else "document". MIME parameters are stripped before
+// matching, mirroring transcriptionFilename.
+func documentFilename(filename, mimeType string) string {
+	if name := sanitizeFilename(filename); name != "" {
+		return name
+	}
+	mt := strings.ToLower(strings.TrimSpace(mimeType))
+	if parsed, _, err := mime.ParseMediaType(mt); err == nil {
+		mt = parsed
+	}
+	switch mt {
+	case "application/pdf":
+		return "document.pdf"
+	case "image/png":
+		return "document.png"
+	case "image/jpeg", "image/jpg":
+		return "document.jpg"
+	case "image/webp":
+		return "document.webp"
+	default:
+		return "document"
+	}
+}

provider/llamaswap/ocr_test.go

@@ -0,0 +1,200 @@
+package llamaswap
+
+import (
+	"context"
+	"errors"
+	"io"
+	"net/http"
+	"net/http/httptest"
+	"strings"
+	"testing"
+
+	"gitea.stevedudenhoeffer.com/steve/majordomo/llm"
+	"gitea.stevedudenhoeffer.com/steve/majordomo/ocr"
+)
+
+func TestRecognize(t *testing.T) {
+	var gotPath, gotLangs, gotMaxPages, gotFilename string
+	var gotFile []byte
+	srv := httptest.NewServer(http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
+		gotPath = r.URL.Path
+		if err := r.ParseMultipartForm(1 << 20); err != nil {
+			t.Fatalf("parse multipart: %v", err)
+		}
+		gotLangs = r.FormValue("langs")
+		gotMaxPages = r.FormValue("max_pages")
+		f, hdr, err := r.FormFile("file")
+		if err != nil {
+			t.Fatalf("form file: %v", err)
+		}
+		defer f.Close()
+		gotFile, _ = io.ReadAll(f)
+		gotFilename = hdr.Filename
+		_, _ = w.Write([]byte(`{"pages":[
+			{"number":1,"text":"page one","lines":[{"text":"page","bbox":[0,0,1,1],"confidence":0.9},{"text":"one"}],"layout":{}},
+			{"number":2,"text":"page two"}
+		]}`))
+	}))
+	defer srv.Close()
+
+	p := New(WithBaseURL(srv.URL), WithHTTPClient(srv.Client()))
+	om, err := p.OCRModel("ocr-surya")
+	if err != nil {
+		t.Fatalf("OCRModel: %v", err)
+	}
+	res, err := om.Recognize(context.Background(),
+		ocr.Request{Document: []byte("%PDF"), MIME: "application/pdf"},
+		ocr.WithLanguages("en", "de"), ocr.WithMaxPages(5))
+	if err != nil {
+		t.Fatalf("Recognize: %v", err)
+	}
+	if gotPath != "/upstream/ocr-surya/v1/ocr" {
+		t.Errorf("path = %q", gotPath)
+	}
+	if gotLangs != "en,de" || gotMaxPages != "5" {
+		t.Errorf("langs/max_pages = %q/%q", gotLangs, gotMaxPages)
+	}
+	if string(gotFile) != "%PDF" || gotFilename != "document.pdf" {
+		t.Errorf("file = %q name = %q", gotFile, gotFilename)
+	}
+	if len(res.Pages) != 2 || res.Pages[0].Number != 1 || res.Pages[0].Text != "page one" ||
+		res.Pages[1].Number != 2 || res.Pages[1].Text != "page two" {
+		t.Errorf("pages = %+v", res.Pages)
+	}
+	if res.Text != "page one\n\npage two" {
+		t.Errorf("text = %q", res.Text)
+	}
+	if res.Raw == nil {
+		t.Error("Raw = nil, want raw payload")
+	}
+}
+
+func TestRecognizeJoinsLinesWhenPageTextAbsent(t *testing.T) {
+	srv := httptest.NewServer(http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
+		_, _ = w.Write([]byte(`{"pages":[{"lines":[{"text":"first line"},{"text":"second line"}]}]}`))
+	}))
+	defer srv.Close()
+
+	p := New(WithBaseURL(srv.URL), WithHTTPClient(srv.Client()))
+	om, _ := p.OCRModel("ocr-surya")
+	res, err := om.Recognize(context.Background(), ocr.Request{Document: []byte("img")})
+	if err != nil {
+		t.Fatalf("Recognize: %v", err)
+	}
+	if len(res.Pages) != 1 || res.Pages[0].Text != "first line\nsecond line" {
+		t.Errorf("pages = %+v", res.Pages)
+	}
+	// Missing page number defaults to position.
+	if res.Pages[0].Number != 1 {
+		t.Errorf("number = %d, want 1", res.Pages[0].Number)
+	}
+	if res.Text != "first line\nsecond line" {
+		t.Errorf("text = %q", res.Text)
+	}
+}
+
+func TestRecognizeOmitsUnsetFields(t *testing.T) {
+	srv := httptest.NewServer(http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
+		if err := r.ParseMultipartForm(1 << 20); err != nil {
+			t.Fatalf("parse multipart: %v", err)
+		}
+		for _, k := range []string{"langs", "max_pages"} {
+			if v, ok := r.MultipartForm.Value[k]; ok {
+				t.Errorf("unset request sent %q = %v, want omitted", k, v)
+			}
+		}
+		if _, hdr, err := r.FormFile("file"); err == nil {
+			if hdr.Filename != "document" {
+				t.Errorf("filename = %q, want document fallback", hdr.Filename)
+			}
+		}
+		_, _ = w.Write([]byte(`{"pages":[{"number":1,"text":"x"}]}`))
+	}))
+	defer srv.Close()
+
+	p := New(WithBaseURL(srv.URL), WithHTTPClient(srv.Client()))
+	om, _ := p.OCRModel("ocr-surya")
+	if _, err := om.Recognize(context.Background(), ocr.Request{Document: []byte("img")}); err != nil {
+		t.Fatalf("Recognize: %v", err)
+	}
+}
+
+func TestRecognizeRejectsBadArgs(t *testing.T) {
+	p := New(WithBaseURL("http://unused"))
+	om, _ := p.OCRModel("ocr-surya")
+	if _, err := om.Recognize(context.Background(), ocr.Request{}); !errors.Is(err, llm.ErrUnsupported) {
+		t.Errorf("no document: err = %v, want ErrUnsupported", err)
+	}
+	if _, err := om.Recognize(context.Background(),
+		ocr.Request{Document: []byte{1}, MaxPages: -1}); !errors.Is(err, llm.ErrUnsupported) {
+		t.Errorf("negative max pages: err = %v, want ErrUnsupported", err)
+	}
+}
+
+func TestRecognizeRejectsZeroPages(t *testing.T) {
+	srv := httptest.NewServer(http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
+		_, _ = w.Write([]byte(`{"pages":[]}`))
+	}))
+	defer srv.Close()
+
+	p := New(WithBaseURL(srv.URL), WithHTTPClient(srv.Client()))
+	om, _ := p.OCRModel("ocr-surya")
+	_, err := om.Recognize(context.Background(), ocr.Request{Document: []byte("img")})
+	var apiErr *llm.APIError
+	if !errors.As(err, &apiErr) {
+		t.Fatalf("err = %v, want APIError for zero pages", err)
+	}
+}
+
+func TestRecognizeRejectsNonJSONResponse(t *testing.T) {
+	srv := httptest.NewServer(http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
+		w.Header().Set("Content-Type", "text/html")
+		_, _ = w.Write([]byte("<html>proxy error page</html>"))
+	}))
+	defer srv.Close()
+
+	p := New(WithBaseURL(srv.URL), WithHTTPClient(srv.Client()))
+	om, _ := p.OCRModel("ocr-surya")
+	if _, err := om.Recognize(context.Background(), ocr.Request{Document: []byte("img")}); err == nil ||
+		!strings.Contains(err.Error(), "decode ocr response") {
+		t.Fatalf("err = %v, want decode error for non-JSON body", err)
+	}
+}
+
+func TestRecognizeSurfacesAPIError(t *testing.T) {
+	srv := httptest.NewServer(http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
+		w.WriteHeader(http.StatusBadRequest)
+		_, _ = w.Write([]byte(`{"error":{"message":"unsupported file type"}}`))
+	}))
+	defer srv.Close()
+
+	p := New(WithBaseURL(srv.URL), WithHTTPClient(srv.Client()))
+	om, _ := p.OCRModel("ocr-surya")
+	_, err := om.Recognize(context.Background(), ocr.Request{Document: []byte("bad")})
+	var apiErr *llm.APIError
+	if !errors.As(err, &apiErr) {
+		t.Fatalf("err = %T %v, want *llm.APIError", err, err)
+	}
+	if apiErr.Status != http.StatusBadRequest || apiErr.Message != "unsupported file type" || apiErr.Model != "ocr-surya" {
+		t.Errorf("apiErr = %+v", apiErr)
+	}
+}
+
+func TestDocumentFilename(t *testing.T) {
+	cases := []struct {
+		filename, mime, want string
+	}{
+		{"scan.pdf", "", "scan.pdf"},
+		{"evil\r\nname.pdf", "", "evilname.pdf"},
+		{"", "application/pdf", "document.pdf"},
+		{"", "image/png", "document.png"},
+		{"", "image/jpeg", "document.jpg"},
+		{"", "image/webp; charset=binary", "document.webp"},
+		{"", "", "document"},
+	}
+	for _, tc := range cases {
+		if got := documentFilename(tc.filename, tc.mime); got != tc.want {
+			t.Errorf("documentFilename(%q, %q) = %q, want %q", tc.filename, tc.mime, got, tc.want)
+		}
+	}
+}

provider/llamaswap/restore.go

@@ -0,0 +1,106 @@
+// restore.go implements the imagegen.ColorizeProvider and
+// imagegen.FaceRestoreProvider surfaces against the mediautils shim reached
+// through llama-swap's /upstream passthrough (ADR-0023):
+//
+//	colorize       POST /upstream/<id>/v1/colorize        (DDColor)
+//	restore_faces  POST /upstream/<id>/v1/restore_faces   (GFPGAN)
+//
+// Both are one-file multipart in, one PNG out, mirroring mediautil.go.
+package llamaswap
+
+import (
+	"context"
+	"fmt"
+	"net/http"
+	"strconv"
+
+	"gitea.stevedudenhoeffer.com/steve/majordomo/imagegen"
+	"gitea.stevedudenhoeffer.com/steve/majordomo/llm"
+)
+
+// --- colorize ---
+
+// ColorizeModel implements imagegen.ColorizeProvider against the mediautils
+// shim's POST /v1/colorize. The id selects which upstream llama-swap loads.
+func (p *Provider) ColorizeModel(id string, opts ...imagegen.ColorizeModelOption) (imagegen.Colorizer, error) {
+	if err := p.requireBaseURL(); err != nil {
+		return nil, err
+	}
+	_ = imagegen.ApplyColorizeModelOptions(opts)
+	return &colorizeModel{p: p, id: id}, nil
+}
+
+type colorizeModel struct {
+	p  *Provider
+	id string
+}
+
+// Colorize implements imagegen.Colorizer.
+func (m *colorizeModel) Colorize(ctx context.Context, req imagegen.ColorizeRequest, opts ...imagegen.ColorizeOption) (*imagegen.Result, error) {
+	req = req.Apply(opts...)
+	if len(req.Image.Data) == 0 {
+		return nil, fmt.Errorf("%w: colorization requires an image", llm.ErrUnsupported)
+	}
+	path, err := upstreamPath(m.id, "/v1/colorize")
+	if err != nil {
+		return nil, err
+	}
+	body, contentType, err := buildMultipart("build colorize form",
+		filePart{field: "file", filename: "image.png", data: req.Image.Data},
+		nil)
+	if err != nil {
+		return nil, err
+	}
+	raw, respType, err := m.p.doRaw(ctx, http.MethodPost, path, m.id, contentType, body, maxImageResponseBytes)
+	if err != nil {
+		return nil, err
+	}
+	return singleImageResult(m.p.name, m.id, "colorize", raw, respType)
+}
+
+// --- face restoration ---
+
+// FaceRestoreModel implements imagegen.FaceRestoreProvider against the
+// mediautils shim's POST /v1/restore_faces.
+func (p *Provider) FaceRestoreModel(id string, opts ...imagegen.FaceRestoreModelOption) (imagegen.FaceRestorer, error) {
+	if err := p.requireBaseURL(); err != nil {
+		return nil, err
+	}
+	_ = imagegen.ApplyFaceRestoreModelOptions(opts)
+	return &faceRestoreModel{p: p, id: id}, nil
+}
+
+type faceRestoreModel struct {
+	p  *Provider
+	id string
+}
+
+// RestoreFaces implements imagegen.FaceRestorer.
+func (m *faceRestoreModel) RestoreFaces(ctx context.Context, req imagegen.FaceRestoreRequest, opts ...imagegen.FaceRestoreOption) (*imagegen.Result, error) {
+	req = req.Apply(opts...)
+	if len(req.Image.Data) == 0 {
+		return nil, fmt.Errorf("%w: face restoration requires an image", llm.ErrUnsupported)
+	}
+	if req.Upscale != 0 && req.Upscale != 1 && req.Upscale != 2 {
+		return nil, fmt.Errorf("%w: face-restore upscale must be 1 or 2, got %d", llm.ErrUnsupported, req.Upscale)
+	}
+	path, err := upstreamPath(m.id, "/v1/restore_faces")
+	if err != nil {
+		return nil, err
+	}
+	upscale := ""
+	if req.Upscale != 0 {
+		upscale = strconv.Itoa(req.Upscale)
+	}
+	body, contentType, err := buildMultipart("build restore-faces form",
+		filePart{field: "file", filename: "image.png", data: req.Image.Data},
+		[]formField{{"upscale", upscale, false}})
+	if err != nil {
+		return nil, err
+	}
+	raw, respType, err := m.p.doRaw(ctx, http.MethodPost, path, m.id, contentType, body, maxImageResponseBytes)
+	if err != nil {
+		return nil, err
+	}
+	return singleImageResult(m.p.name, m.id, "face restoration", raw, respType)
+}

provider/llamaswap/segment.go

@@ -0,0 +1,76 @@
+// segment.go implements imagegen.SegmentationProvider against a
+// GroundingDINO+SAM shim (segment-langsam) reached through llama-swap's
+// /upstream passthrough (ADR-0023):
+//
+//	POST /upstream/<id>/v1/segment   multipart file,prompt[,threshold],output=mask
+//
+// The response is a single grayscale mask PNG where WHITE marks the prompted
+// region — directly usable as imagegen.EditRequest.Mask (white = repaint).
+// The shim also offers output=cutout|boxes; this client always requests the
+// mask, because a cutout is derivable client-side from mask+original with no
+// second GPU call.
+package llamaswap
+
+import (
+	"context"
+	"fmt"
+	"net/http"
+	"strconv"
+
+	"gitea.stevedudenhoeffer.com/steve/majordomo/imagegen"
+	"gitea.stevedudenhoeffer.com/steve/majordomo/llm"
+)
+
+// SegmentationModel implements imagegen.SegmentationProvider. The id selects
+// which upstream llama-swap loads.
+func (p *Provider) SegmentationModel(id string, opts ...imagegen.SegmentationModelOption) (imagegen.Segmenter, error) {
+	if err := p.requireBaseURL(); err != nil {
+		return nil, err
+	}
+	_ = imagegen.ApplySegmentationModelOptions(opts)
+	return &segmentationModel{p: p, id: id}, nil
+}
+
+type segmentationModel struct {
+	p  *Provider
+	id string
+}
+
+// Segment implements imagegen.Segmenter.
+func (m *segmentationModel) Segment(ctx context.Context, req imagegen.SegmentationRequest, opts ...imagegen.SegmentationOption) (*imagegen.Result, error) {
+	req = req.Apply(opts...)
+	if len(req.Image.Data) == 0 {
+		return nil, fmt.Errorf("%w: segmentation requires an image", llm.ErrUnsupported)
+	}
+	if req.Prompt == "" {
+		return nil, fmt.Errorf("%w: segmentation requires a prompt", llm.ErrUnsupported)
+	}
+	if req.Threshold < 0 || req.Threshold > 1 {
+		return nil, fmt.Errorf("%w: segmentation threshold must be in [0,1], got %g", llm.ErrUnsupported, req.Threshold)
+	}
+	path, err := upstreamPath(m.id, "/v1/segment")
+	if err != nil {
+		return nil, err
+	}
+	threshold := ""
+	if req.Threshold != 0 {
+		threshold = strconv.FormatFloat(req.Threshold, 'g', -1, 64)
+	}
+	body, contentType, err := buildMultipart("build segment form",
+		filePart{field: "file", filename: "image.png", data: req.Image.Data},
+		[]formField{
+			{"prompt", req.Prompt, true},
+			{"threshold", threshold, false},
+			// Always the mask: white = prompted region, EditRequest.Mask
+			// polarity. Cutouts are derived client-side.
+			{"output", "mask", true},
+		})
+	if err != nil {
+		return nil, err
+	}
+	raw, respType, err := m.p.doRaw(ctx, http.MethodPost, path, m.id, contentType, body, maxImageResponseBytes)
+	if err != nil {
+		return nil, err
+	}
+	return singleImageResult(m.p.name, m.id, "segmentation", raw, respType)
+}

provider/llamaswap/segment_restore_test.go

@@ -0,0 +1,270 @@
+package llamaswap
+
+import (
+	"context"
+	"errors"
+	"net/http"
+	"net/http/httptest"
+	"testing"
+
+	"gitea.stevedudenhoeffer.com/steve/majordomo/imagegen"
+	"gitea.stevedudenhoeffer.com/steve/majordomo/llm"
+)
+
+func TestSegment(t *testing.T) {
+	png := pngFixture(t)
+	var gotPath, gotPrompt, gotThreshold, gotOutput, gotFilename string
+	srv := httptest.NewServer(http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
+		gotPath = r.URL.Path
+		if err := r.ParseMultipartForm(1 << 20); err != nil {
+			t.Errorf("parse multipart: %v", err)
+		}
+		gotPrompt = r.FormValue("prompt")
+		gotThreshold = r.FormValue("threshold")
+		gotOutput = r.FormValue("output")
+		if f, hdr, err := r.FormFile("file"); err == nil {
+			gotFilename = hdr.Filename
+			f.Close()
+		} else {
+			t.Errorf("file part: %v", err)
+		}
+		w.Header().Set("Content-Type", "image/png")
+		_, _ = w.Write(png)
+	}))
+	defer srv.Close()
+
+	p := New(WithBaseURL(srv.URL), WithHTTPClient(srv.Client()))
+	sg, err := p.SegmentationModel("segment-langsam")
+	if err != nil {
+		t.Fatalf("SegmentationModel: %v", err)
+	}
+	res, err := sg.Segment(context.Background(),
+		imagegen.SegmentationRequest{Image: imagegen.Image{MIME: "image/png", Data: png}, Prompt: "the red car"},
+		imagegen.WithSegmentationThreshold(0.35))
+	if err != nil {
+		t.Fatalf("Segment: %v", err)
+	}
+	if gotPath != "/upstream/segment-langsam/v1/segment" {
+		t.Errorf("path = %q", gotPath)
+	}
+	if gotPrompt != "the red car" || gotThreshold != "0.35" || gotOutput != "mask" || gotFilename != "image.png" {
+		t.Errorf("prompt/threshold/output/filename = %q/%q/%q/%q", gotPrompt, gotThreshold, gotOutput, gotFilename)
+	}
+	if len(res.Images) != 1 || res.Images[0].MIME != "image/png" {
+		t.Fatalf("images = %+v", res.Images)
+	}
+}
+
+func TestSegmentOmitsDefaultThreshold(t *testing.T) {
+	png := pngFixture(t)
+	srv := httptest.NewServer(http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
+		if err := r.ParseMultipartForm(1 << 20); err != nil {
+			t.Errorf("parse multipart: %v", err)
+		}
+		if _, ok := r.MultipartForm.Value["threshold"]; ok {
+			t.Error("threshold field sent for default; want omitted")
+		}
+		if got := r.FormValue("output"); got != "mask" {
+			t.Errorf("output = %q, want mask (always sent)", got)
+		}
+		w.Header().Set("Content-Type", "image/png")
+		_, _ = w.Write(png)
+	}))
+	defer srv.Close()
+
+	p := New(WithBaseURL(srv.URL), WithHTTPClient(srv.Client()))
+	sg, _ := p.SegmentationModel("segment-langsam")
+	if _, err := sg.Segment(context.Background(),
+		imagegen.SegmentationRequest{Image: imagegen.Image{Data: png}, Prompt: "dog"}); err != nil {
+		t.Fatalf("Segment: %v", err)
+	}
+}
+
+func TestSegmentRejectsBadArgs(t *testing.T) {
+	p := New(WithBaseURL("http://unused"))
+	sg, _ := p.SegmentationModel("segment-langsam")
+	if _, err := sg.Segment(context.Background(),
+		imagegen.SegmentationRequest{Prompt: "dog"}); !errors.Is(err, llm.ErrUnsupported) {
+		t.Errorf("no image: err = %v, want ErrUnsupported", err)
+	}
+	if _, err := sg.Segment(context.Background(),
+		imagegen.SegmentationRequest{Image: imagegen.Image{Data: []byte{1}}}); !errors.Is(err, llm.ErrUnsupported) {
+		t.Errorf("no prompt: err = %v, want ErrUnsupported", err)
+	}
+	if _, err := sg.Segment(context.Background(),
+		imagegen.SegmentationRequest{Image: imagegen.Image{Data: []byte{1}}, Prompt: "dog", Threshold: 1.5}); !errors.Is(err, llm.ErrUnsupported) {
+		t.Errorf("threshold 1.5: err = %v, want ErrUnsupported", err)
+	}
+}
+
+func TestSegmentRejectsNonImageResponse(t *testing.T) {
+	srv := httptest.NewServer(http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
+		w.Header().Set("Content-Type", "text/html")
+		_, _ = w.Write([]byte("<html>proxy error page</html>"))
+	}))
+	defer srv.Close()
+
+	p := New(WithBaseURL(srv.URL), WithHTTPClient(srv.Client()))
+	sg, _ := p.SegmentationModel("segment-langsam")
+	_, err := sg.Segment(context.Background(),
+		imagegen.SegmentationRequest{Image: imagegen.Image{Data: pngFixture(t)}, Prompt: "dog"})
+	var apiErr *llm.APIError
+	if !errors.As(err, &apiErr) {
+		t.Fatalf("err = %v, want APIError for non-image body", err)
+	}
+}
+
+func TestColorize(t *testing.T) {
+	png := pngFixture(t)
+	var gotPath, gotFilename string
+	srv := httptest.NewServer(http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
+		gotPath = r.URL.Path
+		if err := r.ParseMultipartForm(1 << 20); err != nil {
+			t.Errorf("parse multipart: %v", err)
+		}
+		if f, hdr, err := r.FormFile("file"); err == nil {
+			gotFilename = hdr.Filename
+			f.Close()
+		} else {
+			t.Errorf("file part: %v", err)
+		}
+		w.Header().Set("Content-Type", "image/png")
+		_, _ = w.Write(png)
+	}))
+	defer srv.Close()
+
+	p := New(WithBaseURL(srv.URL), WithHTTPClient(srv.Client()))
+	cl, err := p.ColorizeModel("mediautils")
+	if err != nil {
+		t.Fatalf("ColorizeModel: %v", err)
+	}
+	res, err := cl.Colorize(context.Background(),
+		imagegen.ColorizeRequest{Image: imagegen.Image{Data: png}})
+	if err != nil {
+		t.Fatalf("Colorize: %v", err)
+	}
+	if gotPath != "/upstream/mediautils/v1/colorize" {
+		t.Errorf("path = %q", gotPath)
+	}
+	if gotFilename != "image.png" {
+		t.Errorf("filename = %q", gotFilename)
+	}
+	if len(res.Images) != 1 || res.Images[0].MIME != "image/png" {
+		t.Fatalf("images = %+v", res.Images)
+	}
+}
+
+func TestColorizeRejectsEmptyImage(t *testing.T) {
+	p := New(WithBaseURL("http://unused"))
+	cl, _ := p.ColorizeModel("mediautils")
+	if _, err := cl.Colorize(context.Background(), imagegen.ColorizeRequest{}); !errors.Is(err, llm.ErrUnsupported) {
+		t.Errorf("err = %v, want ErrUnsupported", err)
+	}
+}
+
+func TestColorizeSurfacesAPIError(t *testing.T) {
+	srv := httptest.NewServer(http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
+		w.WriteHeader(http.StatusServiceUnavailable)
+		_, _ = w.Write([]byte(`{"error":{"message":"model is loading"}}`))
+	}))
+	defer srv.Close()
+
+	p := New(WithBaseURL(srv.URL), WithHTTPClient(srv.Client()))
+	cl, _ := p.ColorizeModel("mediautils")
+	_, err := cl.Colorize(context.Background(),
+		imagegen.ColorizeRequest{Image: imagegen.Image{Data: pngFixture(t)}})
+	var apiErr *llm.APIError
+	if !errors.As(err, &apiErr) {
+		t.Fatalf("err = %T %v, want *llm.APIError", err, err)
+	}
+	if apiErr.Status != http.StatusServiceUnavailable || apiErr.Message != "model is loading" || apiErr.Model != "mediautils" {
+		t.Errorf("apiErr = %+v", apiErr)
+	}
+}
+
+func TestRestoreFaces(t *testing.T) {
+	png := pngFixture(t)
+	var gotPath, gotUpscale string
+	srv := httptest.NewServer(http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
+		gotPath = r.URL.Path
+		if err := r.ParseMultipartForm(1 << 20); err != nil {
+			t.Errorf("parse multipart: %v", err)
+		}
+		gotUpscale = r.FormValue("upscale")
+		w.Header().Set("Content-Type", "image/png")
+		_, _ = w.Write(png)
+	}))
+	defer srv.Close()
+
+	p := New(WithBaseURL(srv.URL), WithHTTPClient(srv.Client()))
+	fr, err := p.FaceRestoreModel("mediautils")
+	if err != nil {
+		t.Fatalf("FaceRestoreModel: %v", err)
+	}
+	res, err := fr.RestoreFaces(context.Background(),
+		imagegen.FaceRestoreRequest{Image: imagegen.Image{Data: png}},
+		imagegen.WithFaceRestoreUpscale(2))
+	if err != nil {
+		t.Fatalf("RestoreFaces: %v", err)
+	}
+	if gotPath != "/upstream/mediautils/v1/restore_faces" {
+		t.Errorf("path = %q", gotPath)
+	}
+	if gotUpscale != "2" {
+		t.Errorf("upscale = %q", gotUpscale)
+	}
+	if len(res.Images) != 1 {
+		t.Fatalf("images = %+v", res.Images)
+	}
+}
+
+func TestRestoreFacesOmitsDefaultUpscale(t *testing.T) {
+	png := pngFixture(t)
+	srv := httptest.NewServer(http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
+		if err := r.ParseMultipartForm(1 << 20); err != nil {
+			t.Errorf("parse multipart: %v", err)
+		}
+		if _, ok := r.MultipartForm.Value["upscale"]; ok {
+			t.Error("upscale field sent for default; want omitted")
+		}
+		w.Header().Set("Content-Type", "image/png")
+		_, _ = w.Write(png)
+	}))
+	defer srv.Close()
+
+	p := New(WithBaseURL(srv.URL), WithHTTPClient(srv.Client()))
+	fr, _ := p.FaceRestoreModel("mediautils")
+	if _, err := fr.RestoreFaces(context.Background(),
+		imagegen.FaceRestoreRequest{Image: imagegen.Image{Data: png}}); err != nil {
+		t.Fatalf("RestoreFaces: %v", err)
+	}
+}
+
+func TestRestoreFacesRejectsBadArgs(t *testing.T) {
+	p := New(WithBaseURL("http://unused"))
+	fr, _ := p.FaceRestoreModel("mediautils")
+	if _, err := fr.RestoreFaces(context.Background(), imagegen.FaceRestoreRequest{}); !errors.Is(err, llm.ErrUnsupported) {
+		t.Errorf("no image: err = %v, want ErrUnsupported", err)
+	}
+	if _, err := fr.RestoreFaces(context.Background(),
+		imagegen.FaceRestoreRequest{Image: imagegen.Image{Data: []byte{1}}, Upscale: 3}); !errors.Is(err, llm.ErrUnsupported) {
+		t.Errorf("upscale 3: err = %v, want ErrUnsupported", err)
+	}
+}
+
+func TestRestoreFacesRejectsNonImageResponse(t *testing.T) {
+	srv := httptest.NewServer(http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
+		w.Header()["Content-Type"] = nil // NO Content-Type at all
+		_, _ = w.Write([]byte("502 bad gateway"))
+	}))
+	defer srv.Close()
+
+	p := New(WithBaseURL(srv.URL), WithHTTPClient(srv.Client()))
+	fr, _ := p.FaceRestoreModel("mediautils")
+	_, err := fr.RestoreFaces(context.Background(),
+		imagegen.FaceRestoreRequest{Image: imagegen.Image{Data: pngFixture(t)}})
+	var apiErr *llm.APIError
+	if !errors.As(err, &apiErr) {
+		t.Fatalf("err = %v, want APIError for headerless non-image body", err)
+	}
+}