test(wp7-02): require Gemini chat image relay
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Dada P0-A isolated Windows CI / validate-and-package (push) Canceled after 0s
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@@ -72,6 +72,17 @@ const stableFlashOpenAiImageModel = {
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},
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},
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};
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};
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const stableFlashOpenAiChatModel = {
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config_version: 7,
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model_id: "gemini-3.1-flash-image-preview",
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route_profile: {
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endpoint: "https://oneapi.intelligrow.cn/v1/chat/completions",
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mode: "sync",
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protocol_version: "gemini-openai-chat-v1",
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provider_model_id: "gemini-3.1-flash-image",
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},
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};
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const onePixelPng = Buffer.from(
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const onePixelPng = Buffer.from(
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"iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAQAAAC1HAwCAAAAC0lEQVR42mNk+A8AAQUBAScY42YAAAAASUVORK5CYII=",
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"iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAQAAAC1HAwCAAAAC0lEQVR42mNk+A8AAQUBAScY42YAAAAASUVORK5CYII=",
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"base64",
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"base64",
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@@ -142,6 +153,27 @@ test("TDD-WP7-EXT-001 builds protocol-specific requests without auth in argument
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size: "1408x1056",
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size: "1408x1056",
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});
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});
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const stableOpenAiChat = buildProviderRequest({
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modelConfig: stableFlashOpenAiChatModel,
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prompt: "controlled fixture prompt",
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ratio: "4:3",
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reference,
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});
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assert.deepEqual(stableOpenAiChat.body, {
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extra_body: { google: { image_config: { aspect_ratio: "4:3", image_size: "1K" } } },
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messages: [{
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content: [
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{ text: "controlled fixture prompt", type: "text" },
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{ image_url: { url: `data:image/png;base64,${onePixelPng.toString("base64")}` }, type: "image_url" },
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],
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role: "user",
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}],
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model: "gemini-3.1-flash-image",
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stream: false,
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});
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assert.equal(stableOpenAiChat.url, "https://oneapi.intelligrow.cn/v1/chat/completions");
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assert.equal("authorization" in stableOpenAiChat.headers, false);
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const openai = buildProviderRequest({ modelConfig: models[2], prompt: "controlled fixture prompt", ratio: "9:16" });
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const openai = buildProviderRequest({ modelConfig: models[2], prompt: "controlled fixture prompt", ratio: "9:16" });
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assert.deepEqual(openai.body, {
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assert.deepEqual(openai.body, {
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model: "gpt-image-2",
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model: "gpt-image-2",
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@@ -182,6 +214,14 @@ test("TDD-WP7-EXT-001 retains only response metadata and hashes", () => {
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assert.deepEqual(interactionNormalized.dimensions, { height: 1, width: 1 });
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assert.deepEqual(interactionNormalized.dimensions, { height: 1, width: 1 });
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assert.equal(interactionNormalized.mime, "image/png");
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assert.equal(interactionNormalized.mime, "image/png");
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assert.deepEqual(interactionNormalized.usage_summary, { input_units: 11, output_units: 13, total_units: 24 });
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assert.deepEqual(interactionNormalized.usage_summary, { input_units: 11, output_units: 13, total_units: 24 });
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const chatNormalized = normalizeProviderResponse(stableFlashOpenAiChatModel, {
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choices: [{ message: { content: `})` } }],
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usage: { completion_tokens: 17, prompt_tokens: 15, total_tokens: 32 },
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});
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assert.deepEqual(chatNormalized.dimensions, { height: 1, width: 1 });
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assert.equal(chatNormalized.mime, "image/png");
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assert.deepEqual(chatNormalized.usage_summary, { input_units: 15, output_units: 17, total_units: 32 });
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});
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});
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test("TDD-WP7-EXT-001 rejects sensitive or shared evidence fields", () => {
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test("TDD-WP7-EXT-001 rejects sensitive or shared evidence fields", () => {
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