feat(baoyu-imagine): add Z.AI GLM-Image provider

Adds the Z.AI (智谱) provider supporting glm-image and cogview-4-250304
models via the Z.AI sync image API. Configure with ZAI_API_KEY (or
BIGMODEL_API_KEY for backward compat). Reference images are not supported yet.

skills/baoyu-imagine/scripts/main.test.ts

@@ -78,7 +78,7 @@ test("parseArgs parses the main baoyu-imagine CLI flags", () => {
     "--image",
     "out/hero",
     "--provider",
-    "openai",
+    "zai",
     "--quality",
     "2k",
     "--imageSize",
@@ -95,7 +95,7 @@ test("parseArgs parses the main baoyu-imagine 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.imageSize, "4K");
   assert.deepEqual(args.referenceImages, ["ref/one.png", "ref/two.jpg"]);
@@ -124,6 +124,7 @@ default_image_size: 2K
 default_model:
   google: gemini-3-pro-image-preview
   openai: gpt-image-1.5
+  zai: glm-image
   azure: image-prod
   minimax: image-01
 batch:
@@ -134,6 +135,9 @@ batch:
       start_interval_ms: 900
     openai:
       concurrency: 4
+    zai:
+      concurrency: 2
+      start_interval_ms: 1000
     minimax:
       concurrency: 2
       start_interval_ms: 1400
@@ -151,6 +155,7 @@ batch:
   assert.equal(config.default_image_size, "2K");
   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?.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);
@@ -161,6 +166,10 @@ 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,
@@ -316,6 +325,27 @@ 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,
@@ -375,6 +405,7 @@ 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> = {
@@ -385,6 +416,10 @@ 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,
@@ -398,6 +433,10 @@ 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,