feat\!: rename baoyu-imagine→baoyu-image-gen, baoyu-image-cards→baoyu-xhs-images (v2.0.0)

BREAKING CHANGE: removed `baoyu-imagine` and `baoyu-image-cards`. All
functionality now lives under `baoyu-image-gen` and `baoyu-xhs-images`
respectively. Cross-skill `## Image Generation Tools` examples updated
across baoyu-article-illustrator, baoyu-comic, baoyu-cover-image,
baoyu-infographic, and baoyu-slide-deck.

Migration: existing `~/.baoyu-skills/baoyu-imagine/EXTEND.md` configs are
auto-renamed to `…/baoyu-image-gen/EXTEND.md` on first run via the
legacy-path resolver in `scripts/main.ts`.
This commit is contained in:
Jim Liu 宝玉
2026-05-24 18:35:05 -05:00
parent bc303345f4
commit c3cbce9ce3
116 changed files with 2117 additions and 12789 deletions
+218 -7
View File
@@ -13,10 +13,13 @@ import {
getWorkerCount,
isRetryableGenerationError,
loadBatchTasks,
loadExtendConfig,
mergeConfig,
normalizeOutputImagePath,
parseArgs,
parseOpenAIImageApiDialect,
parseSimpleYaml,
validateReferenceImages,
} from "./main.ts";
function makeArgs(overrides: Partial<CliArgs> = {}): CliArgs {
@@ -27,9 +30,12 @@ function makeArgs(overrides: Partial<CliArgs> = {}): CliArgs {
provider: null,
model: null,
aspectRatio: null,
aspectRatioSource: null,
size: null,
quality: null,
imageSize: null,
imageSizeSource: null,
imageApiDialect: null,
referenceImages: [],
n: 1,
batchFile: null,
@@ -69,7 +75,7 @@ async function makeTempDir(prefix: string): Promise<string> {
return fs.mkdtemp(path.join(os.tmpdir(), prefix));
}
test("parseArgs parses the main image-gen CLI flags", () => {
test("parseArgs parses the main baoyu-image-gen CLI flags", () => {
const args = parseArgs([
"--promptfiles",
"prompts/system.md",
@@ -77,11 +83,13 @@ test("parseArgs parses the main image-gen CLI flags", () => {
"--image",
"out/hero",
"--provider",
"openai",
"zai",
"--quality",
"2k",
"--imageSize",
"4k",
"--imageApiDialect",
"ratio-metadata",
"--ref",
"ref/one.png",
"ref/two.jpg",
@@ -94,9 +102,12 @@ test("parseArgs parses the main image-gen CLI flags", () => {
assert.deepEqual(args.promptFiles, ["prompts/system.md", "prompts/content.md"]);
assert.equal(args.imagePath, "out/hero");
assert.equal(args.provider, "openai");
assert.equal(args.provider, "zai");
assert.equal(args.quality, "2k");
assert.equal(args.aspectRatioSource, null);
assert.equal(args.imageSize, "4K");
assert.equal(args.imageSizeSource, "cli");
assert.equal(args.imageApiDialect, "ratio-metadata");
assert.deepEqual(args.referenceImages, ["ref/one.png", "ref/two.jpg"]);
assert.equal(args.n, 3);
assert.equal(args.jobs, 5);
@@ -113,6 +124,15 @@ test("parseArgs falls back to positional prompt and rejects invalid provider", (
);
});
test("validateReferenceImages can skip remote URLs for providers that support them", async () => {
await validateReferenceImages(["https://example.com/ref.png"], { allowRemoteUrls: true });
await assert.rejects(
() => validateReferenceImages(["https://example.com/ref.png"]),
/Reference image not found/,
);
});
test("parseSimpleYaml parses nested defaults and provider limits", () => {
const yaml = `
version: 2
@@ -120,9 +140,11 @@ default_provider: openrouter
default_quality: normal
default_aspect_ratio: '16:9'
default_image_size: 2K
default_image_api_dialect: ratio-metadata
default_model:
google: gemini-3-pro-image-preview
openai: gpt-image-1.5
openai: gpt-image-2
zai: glm-image
azure: image-prod
minimax: image-01
batch:
@@ -133,6 +155,9 @@ batch:
start_interval_ms: 900
openai:
concurrency: 4
zai:
concurrency: 2
start_interval_ms: 1000
minimax:
concurrency: 2
start_interval_ms: 1400
@@ -148,8 +173,10 @@ batch:
assert.equal(config.default_quality, "normal");
assert.equal(config.default_aspect_ratio, "16:9");
assert.equal(config.default_image_size, "2K");
assert.equal(config.default_image_api_dialect, "ratio-metadata");
assert.equal(config.default_model?.google, "gemini-3-pro-image-preview");
assert.equal(config.default_model?.openai, "gpt-image-1.5");
assert.equal(config.default_model?.openai, "gpt-image-2");
assert.equal(config.default_model?.zai, "glm-image");
assert.equal(config.default_model?.azure, "image-prod");
assert.equal(config.default_model?.minimax, "image-01");
assert.equal(config.batch?.max_workers, 8);
@@ -160,6 +187,10 @@ batch:
assert.deepEqual(config.batch?.provider_limits?.openai, {
concurrency: 4,
});
assert.deepEqual(config.batch?.provider_limits?.zai, {
concurrency: 2,
start_interval_ms: 1000,
});
assert.deepEqual(config.batch?.provider_limits?.minimax, {
concurrency: 2,
start_interval_ms: 1400,
@@ -170,6 +201,61 @@ batch:
});
});
test("loadExtendConfig renames legacy EXTEND.md when the new path is missing", async () => {
const root = await makeTempDir("baoyu-image-gen-extend-");
const cwd = path.join(root, "project");
const home = path.join(root, "home");
const legacyPath = path.join(cwd, ".baoyu-skills", "baoyu-imagine", "EXTEND.md");
const currentPath = path.join(cwd, ".baoyu-skills", "baoyu-image-gen", "EXTEND.md");
await fs.mkdir(path.dirname(legacyPath), { recursive: true });
await fs.mkdir(home, { recursive: true });
await fs.writeFile(legacyPath, `---
default_provider: google
default_quality: 2k
---
`);
const config = await loadExtendConfig(cwd, home);
assert.equal(config.default_provider, "google");
assert.equal(config.default_quality, "2k");
await fs.access(currentPath);
await assert.rejects(() => fs.access(legacyPath));
});
test("loadExtendConfig leaves legacy EXTEND.md untouched when both paths exist", async () => {
const root = await makeTempDir("baoyu-image-gen-extend-dual-");
const cwd = path.join(root, "project");
const home = path.join(root, "home");
const legacyPath = path.join(cwd, ".baoyu-skills", "baoyu-imagine", "EXTEND.md");
const currentPath = path.join(cwd, ".baoyu-skills", "baoyu-image-gen", "EXTEND.md");
await fs.mkdir(path.dirname(legacyPath), { recursive: true });
await fs.mkdir(path.dirname(currentPath), { recursive: true });
await fs.mkdir(home, { recursive: true });
await fs.writeFile(legacyPath, `---
default_provider: google
---
`);
await fs.writeFile(currentPath, `---
default_provider: openai
---
`);
const config = await loadExtendConfig(cwd, home);
assert.equal(config.default_provider, "openai");
assert.equal(await fs.readFile(legacyPath, "utf8"), `---
default_provider: google
---
`);
assert.equal(await fs.readFile(currentPath, "utf8"), `---
default_provider: openai
---
`);
});
test("mergeConfig only fills values missing from CLI args", () => {
const merged = mergeConfig(
makeArgs({
@@ -183,13 +269,48 @@ test("mergeConfig only fills values missing from CLI args", () => {
default_quality: "2k",
default_aspect_ratio: "3:2",
default_image_size: "2K",
default_image_api_dialect: "ratio-metadata",
} satisfies Partial<ExtendConfig>,
);
assert.equal(merged.provider, "openai");
assert.equal(merged.quality, "2k");
assert.equal(merged.aspectRatio, "3:2");
assert.equal(merged.aspectRatioSource, "config");
assert.equal(merged.imageSize, "4K");
assert.equal(merged.imageSizeSource, "cli");
assert.equal(merged.imageApiDialect, "ratio-metadata");
});
test("mergeConfig tags inherited imageSize defaults so providers can ignore incompatible config", () => {
const merged = mergeConfig(
makeArgs(),
{
default_image_size: "2K",
} satisfies Partial<ExtendConfig>,
);
assert.equal(merged.imageSize, "2K");
assert.equal(merged.imageSizeSource, "config");
});
test("mergeConfig falls back to OPENAI_IMAGE_API_DIALECT when CLI and EXTEND are unset", (t) => {
useEnv(t, {
OPENAI_IMAGE_API_DIALECT: "ratio-metadata",
});
const merged = mergeConfig(makeArgs(), {});
assert.equal(merged.imageApiDialect, "ratio-metadata");
});
test("parseOpenAIImageApiDialect validates supported values", () => {
assert.equal(parseOpenAIImageApiDialect("openai-native"), "openai-native");
assert.equal(parseOpenAIImageApiDialect("ratio-metadata"), "ratio-metadata");
assert.equal(parseOpenAIImageApiDialect(null), null);
assert.throws(
() => parseOpenAIImageApiDialect("gateway-magic"),
/Invalid OpenAI image API dialect/,
);
});
test("detectProvider rejects non-ref-capable providers and prefers Google first when multiple keys exist", (t) => {
@@ -197,7 +318,7 @@ test("detectProvider rejects non-ref-capable providers and prefers Google first
() =>
detectProvider(
makeArgs({
provider: "dashscope",
provider: "zai",
referenceImages: ["ref.png"],
}),
),
@@ -260,6 +381,27 @@ test("detectProvider selects Azure when only Azure credentials are configured",
);
});
test("detectProvider selects Z.AI when credentials are present or the model id matches", (t) => {
useEnv(t, {
GOOGLE_API_KEY: null,
OPENAI_API_KEY: null,
AZURE_OPENAI_API_KEY: null,
AZURE_OPENAI_BASE_URL: null,
OPENROUTER_API_KEY: null,
DASHSCOPE_API_KEY: null,
ZAI_API_KEY: "zai-key",
BIGMODEL_API_KEY: null,
MINIMAX_API_KEY: null,
REPLICATE_API_TOKEN: null,
JIMENG_ACCESS_KEY_ID: null,
JIMENG_SECRET_ACCESS_KEY: null,
ARK_API_KEY: null,
});
assert.equal(detectProvider(makeArgs()), "zai");
assert.equal(detectProvider(makeArgs({ model: "glm-image" })), "zai");
});
test("detectProvider infers Seedream from model id and allows Seedream reference-image workflows", (t) => {
useEnv(t, {
GOOGLE_API_KEY: null,
@@ -294,6 +436,33 @@ test("detectProvider infers Seedream from model id and allows Seedream reference
);
});
test("detectProvider allows DashScope reference-image workflows when explicitly chosen for wan2.7 models", (t) => {
useEnv(t, {
GOOGLE_API_KEY: null,
OPENAI_API_KEY: null,
AZURE_OPENAI_API_KEY: null,
AZURE_OPENAI_BASE_URL: null,
OPENROUTER_API_KEY: null,
DASHSCOPE_API_KEY: "dashscope-key",
MINIMAX_API_KEY: null,
REPLICATE_API_TOKEN: null,
JIMENG_ACCESS_KEY_ID: null,
JIMENG_SECRET_ACCESS_KEY: null,
ARK_API_KEY: null,
});
assert.equal(
detectProvider(
makeArgs({
provider: "dashscope",
model: "wan2.7-image-pro",
referenceImages: ["ref.png"],
}),
),
"dashscope",
);
});
test("detectProvider selects MiniMax when only MiniMax credentials are configured or the model id matches", (t) => {
useEnv(t, {
GOOGLE_API_KEY: null,
@@ -319,6 +488,7 @@ test("batch worker and provider-rate-limit configuration prefer env over EXTEND
BAOYU_IMAGE_GEN_MAX_WORKERS: "12",
BAOYU_IMAGE_GEN_GOOGLE_CONCURRENCY: "5",
BAOYU_IMAGE_GEN_GOOGLE_START_INTERVAL_MS: "450",
BAOYU_IMAGE_GEN_ZAI_CONCURRENCY: "4",
});
const extendConfig: Partial<ExtendConfig> = {
@@ -329,6 +499,10 @@ test("batch worker and provider-rate-limit configuration prefer env over EXTEND
concurrency: 2,
start_interval_ms: 900,
},
zai: {
concurrency: 1,
start_interval_ms: 1200,
},
minimax: {
concurrency: 1,
start_interval_ms: 1500,
@@ -342,6 +516,10 @@ test("batch worker and provider-rate-limit configuration prefer env over EXTEND
concurrency: 5,
startIntervalMs: 450,
});
assert.deepEqual(getConfiguredProviderRateLimits(extendConfig).zai, {
concurrency: 4,
startIntervalMs: 1200,
});
assert.deepEqual(getConfiguredProviderRateLimits(extendConfig).minimax, {
concurrency: 1,
startIntervalMs: 1500,
@@ -363,7 +541,7 @@ test("loadBatchTasks and createTaskArgs resolve batch-relative paths", async (t)
id: "hero",
promptFiles: ["prompts/hero.md"],
image: "out/hero",
ref: ["refs/hero.png"],
ref: ["refs/hero.png", "https://example.com/ref.png"],
ar: "16:9",
},
],
@@ -379,6 +557,7 @@ test("loadBatchTasks and createTaskArgs resolve batch-relative paths", async (t)
makeArgs({
provider: "replicate",
quality: "2k",
imageApiDialect: "ratio-metadata",
json: true,
}),
loaded.tasks[0]!,
@@ -391,10 +570,12 @@ test("loadBatchTasks and createTaskArgs resolve batch-relative paths", async (t)
assert.equal(taskArgs.imagePath, path.join(loaded.batchDir, "out/hero"));
assert.deepEqual(taskArgs.referenceImages, [
path.join(loaded.batchDir, "refs/hero.png"),
"https://example.com/ref.png",
]);
assert.equal(taskArgs.provider, "replicate");
assert.equal(taskArgs.aspectRatio, "16:9");
assert.equal(taskArgs.quality, "2k");
assert.equal(taskArgs.imageApiDialect, "ratio-metadata");
assert.equal(taskArgs.json, true);
});
@@ -408,5 +589,35 @@ test("path normalization, worker count, and retry classification follow expected
assert.equal(getWorkerCount(5, 0, 4), 1);
assert.equal(isRetryableGenerationError(new Error("API error (401): denied")), false);
assert.equal(
isRetryableGenerationError(
new Error("Replicate returned 2 outputs, but baoyu-image-gen currently supports saving exactly one image per request."),
),
false,
);
assert.equal(
isRetryableGenerationError(
new Error("DashScope wan2.7 image models accept at most 9 reference images. Received 10."),
),
false,
);
assert.equal(
isRetryableGenerationError(
new Error("DashScope wan2.7 image models in baoyu-image-gen support exactly one output image per request."),
),
false,
);
assert.equal(
isRetryableGenerationError(
new Error("DashScope wan2.7 image models support aspect ratios in [1:8, 8:1]."),
),
false,
);
assert.equal(
isRetryableGenerationError(
new Error("DashScope wan2.7-image requires total pixels between 768*768 and 2048*2048."),
),
false,
);
assert.equal(isRetryableGenerationError(new Error("socket hang up")), true);
});