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feat(microsoft-foundry): add MAI image provider
This commit is contained in:
@@ -0,0 +1,321 @@
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// Microsoft Foundry image provider tests cover MAI request construction.
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import type { OpenClawConfig } from "openclaw/plugin-sdk/config-contracts";
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import { afterEach, describe, expect, it, vi } from "vitest";
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import { buildMicrosoftFoundryImageGenerationProvider } from "./image-generation-provider.js";
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import { PROVIDER_ID } from "./shared.js";
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const {
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assertOkOrThrowHttpErrorMock,
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isProviderApiKeyConfiguredMock,
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postJsonRequestMock,
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postMultipartRequestMock,
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prepareFoundryRuntimeAuthMock,
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resolveApiKeyForProviderMock,
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resolveProviderHttpRequestConfigMock,
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resolveProviderOperationTimeoutMsMock,
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sanitizeConfiguredModelProviderRequestMock,
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} = vi.hoisted(() => ({
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assertOkOrThrowHttpErrorMock: vi.fn(async () => {}),
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isProviderApiKeyConfiguredMock: vi.fn(() => true),
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postJsonRequestMock: vi.fn(),
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postMultipartRequestMock: vi.fn(),
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prepareFoundryRuntimeAuthMock: vi.fn(),
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resolveApiKeyForProviderMock: vi.fn(async () => ({
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apiKey: "foundry-key",
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mode: "api-key" as const,
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source: "test",
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})),
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resolveProviderHttpRequestConfigMock: vi.fn((params: Record<string, unknown>) => ({
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baseUrl: params.baseUrl ?? params.defaultBaseUrl,
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allowPrivateNetwork: false,
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headers: new Headers(params.defaultHeaders as HeadersInit | undefined),
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dispatcherPolicy: undefined,
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})),
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resolveProviderOperationTimeoutMsMock: vi.fn(
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(params: Record<string, unknown>) => params.timeoutMs ?? params.defaultTimeoutMs,
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),
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sanitizeConfiguredModelProviderRequestMock: vi.fn((request) => request),
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}));
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vi.mock("openclaw/plugin-sdk/provider-auth", () => ({
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isProviderApiKeyConfigured: isProviderApiKeyConfiguredMock,
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}));
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vi.mock("openclaw/plugin-sdk/provider-auth-runtime", () => ({
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resolveApiKeyForProvider: resolveApiKeyForProviderMock,
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}));
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vi.mock("openclaw/plugin-sdk/provider-http", () => ({
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assertOkOrThrowHttpError: assertOkOrThrowHttpErrorMock,
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postJsonRequest: postJsonRequestMock,
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postMultipartRequest: postMultipartRequestMock,
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resolveProviderHttpRequestConfig: resolveProviderHttpRequestConfigMock,
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resolveProviderOperationTimeoutMs: resolveProviderOperationTimeoutMsMock,
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sanitizeConfiguredModelProviderRequest: sanitizeConfiguredModelProviderRequestMock,
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}));
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vi.mock("./runtime.js", () => ({
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prepareFoundryRuntimeAuth: prepareFoundryRuntimeAuthMock,
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}));
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function buildConfig(
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params: {
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modelId?: string;
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modelName?: string;
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baseUrl?: string;
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} = {},
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): OpenClawConfig {
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const baseUrl = params.baseUrl ?? "https://example.services.ai.azure.com/openai/v1";
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const modelId = params.modelId ?? "image-deployment";
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const modelName = params.modelName ?? "MAI-Image-2.5";
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return {
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models: {
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providers: {
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[PROVIDER_ID]: {
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baseUrl,
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api: "openai-completions",
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models: [
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{
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provider: PROVIDER_ID,
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id: modelId,
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name: modelName,
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api: "openai-completions",
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baseUrl,
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reasoning: false,
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input: ["text"],
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cost: { input: 0, output: 0, cacheRead: 0, cacheWrite: 0 },
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contextWindow: 32_000,
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maxTokens: 0,
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},
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],
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},
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},
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},
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};
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}
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function releasedJson(payload: unknown) {
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return {
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response: Response.json(payload),
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release: vi.fn(async () => {}),
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};
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}
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function requirePostJsonRequest(): Record<string, unknown> {
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const request = postJsonRequestMock.mock.calls[0]?.[0];
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if (!request || typeof request !== "object") {
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throw new Error("expected Microsoft Foundry JSON image request");
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}
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return request as Record<string, unknown>;
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}
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function requirePostMultipartRequest(): Record<string, unknown> {
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const request = postMultipartRequestMock.mock.calls[0]?.[0];
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if (!request || typeof request !== "object") {
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throw new Error("expected Microsoft Foundry multipart image request");
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}
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return request as Record<string, unknown>;
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}
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function requireHeaders(value: unknown): Headers {
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expect(value).toBeInstanceOf(Headers);
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if (!(value instanceof Headers)) {
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throw new Error("expected request headers");
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}
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return value;
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}
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describe("microsoft foundry image generation provider", () => {
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afterEach(() => {
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assertOkOrThrowHttpErrorMock.mockClear();
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isProviderApiKeyConfiguredMock.mockClear();
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postJsonRequestMock.mockReset();
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postMultipartRequestMock.mockReset();
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prepareFoundryRuntimeAuthMock.mockReset();
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resolveApiKeyForProviderMock.mockClear();
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resolveProviderHttpRequestConfigMock.mockClear();
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resolveProviderOperationTimeoutMsMock.mockClear();
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sanitizeConfiguredModelProviderRequestMock.mockClear();
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});
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it("exposes MAI image provider metadata and capabilities", () => {
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const provider = buildMicrosoftFoundryImageGenerationProvider();
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expect(provider.id).toBe(PROVIDER_ID);
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expect(provider.defaultModel).toBe("MAI-Image-2.5");
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expect(provider.models).toEqual([
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"MAI-Image-2.5-Flash",
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"MAI-Image-2.5",
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"MAI-Image-2e",
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"MAI-Image-2",
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]);
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expect(provider.capabilities.generate.maxCount).toBe(1);
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expect(provider.capabilities.edit.enabled).toBe(true);
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expect(provider.capabilities.edit.maxInputImages).toBe(1);
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expect(provider.capabilities.output?.formats).toEqual(["png"]);
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expect(provider.isConfigured?.({ agentDir: "/agent" })).toBe(true);
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expect(isProviderApiKeyConfiguredMock).toHaveBeenCalledWith({
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provider: PROVIDER_ID,
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agentDir: "/agent",
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});
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});
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it("sends MAI image generation requests to the Foundry MAI endpoint with API-key auth", async () => {
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postJsonRequestMock.mockResolvedValue(
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releasedJson({
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data: [{ b64_json: Buffer.from("png").toString("base64") }],
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}),
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);
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const provider = buildMicrosoftFoundryImageGenerationProvider();
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const result = await provider.generateImage({
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provider: PROVIDER_ID,
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model: "image-deployment",
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prompt: "draw a clean product render",
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cfg: buildConfig(),
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size: "768x1365",
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timeoutMs: 12_345,
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ssrfPolicy: { allowDocumentationRanges: true },
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});
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expect(resolveApiKeyForProviderMock).toHaveBeenCalledWith({
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provider: PROVIDER_ID,
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cfg: buildConfig(),
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agentDir: undefined,
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store: undefined,
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});
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expect(resolveProviderHttpRequestConfigMock).toHaveBeenCalledWith({
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baseUrl: "https://example.services.ai.azure.com/mai/v1",
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defaultBaseUrl: "https://example.services.ai.azure.com/mai/v1",
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allowPrivateNetwork: false,
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defaultHeaders: { "api-key": "foundry-key" },
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request: undefined,
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provider: PROVIDER_ID,
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capability: "image",
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transport: "http",
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});
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expect(postJsonRequestMock).toHaveBeenCalledOnce();
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const request = requirePostJsonRequest();
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expect(request.url).toBe("https://example.services.ai.azure.com/mai/v1/images/generations");
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expect(request.body).toEqual({
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model: "image-deployment",
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prompt: "draw a clean product render",
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width: 768,
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height: 1365,
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});
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expect(Object.fromEntries(requireHeaders(request.headers).entries())).toEqual({
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"api-key": "foundry-key",
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"content-type": "application/json",
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});
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expect(request.timeoutMs).toBe(12_345);
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expect(request.ssrfPolicy).toEqual({ allowDocumentationRanges: true });
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expect(result.model).toBe("image-deployment");
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expect(result.images[0]?.buffer.toString()).toBe("png");
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expect(result.images[0]?.mimeType).toBe("image/png");
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});
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it("refreshes Entra ID auth and sends MAI image edits as multipart form data", async () => {
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resolveApiKeyForProviderMock.mockResolvedValueOnce({
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apiKey: "__entra_id_dynamic__",
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mode: "api-key",
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profileId: "microsoft-foundry:entra",
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source: "profile:microsoft-foundry:entra",
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});
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prepareFoundryRuntimeAuthMock.mockResolvedValueOnce({
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apiKey: "entra-token",
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baseUrl: "https://example.services.ai.azure.com/openai/v1",
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expiresAt: Date.now() + 60_000,
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});
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postMultipartRequestMock.mockResolvedValue(
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releasedJson({
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data: [{ b64_json: Buffer.from("edited").toString("base64") }],
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}),
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);
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const provider = buildMicrosoftFoundryImageGenerationProvider();
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const result = await provider.generateImage({
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provider: PROVIDER_ID,
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model: "image-deployment",
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prompt: "make it brighter",
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cfg: buildConfig(),
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agentDir: "/agent",
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inputImages: [
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{
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buffer: Buffer.from("input"),
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mimeType: "image/png",
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fileName: "input.png",
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},
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],
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});
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expect(prepareFoundryRuntimeAuthMock).toHaveBeenCalledWith(
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expect.objectContaining({
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agentDir: "/agent",
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provider: PROVIDER_ID,
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modelId: "image-deployment",
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apiKey: "__entra_id_dynamic__",
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authMode: "api-key",
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profileId: "microsoft-foundry:entra",
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}),
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);
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expect(postMultipartRequestMock).toHaveBeenCalledOnce();
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const request = requirePostMultipartRequest();
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expect(request.url).toBe("https://example.services.ai.azure.com/mai/v1/images/edits");
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expect(Object.fromEntries(requireHeaders(request.headers).entries())).toEqual({
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authorization: "Bearer entra-token",
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});
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const form = request.body as FormData;
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expect(form.get("model")).toBe("image-deployment");
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expect(form.get("prompt")).toBe("make it brighter");
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const image = form.get("image");
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expect(image).toBeInstanceOf(Blob);
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expect((image as File).name).toBe("input.png");
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expect((image as File).type).toBe("image/png");
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expect(result.images[0]?.buffer.toString()).toBe("edited");
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});
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it("rejects image edits for MAI text-to-image-only deployments", async () => {
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const provider = buildMicrosoftFoundryImageGenerationProvider();
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await expect(
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provider.generateImage({
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provider: PROVIDER_ID,
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model: "image-deployment",
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prompt: "edit it",
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cfg: buildConfig({ modelName: "MAI-Image-2e" }),
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inputImages: [{ buffer: Buffer.from("input"), mimeType: "image/png" }],
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}),
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).rejects.toThrow("MAI-Image-2e does not support Microsoft Foundry MAI image edits.");
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expect(resolveApiKeyForProviderMock).not.toHaveBeenCalled();
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expect(postMultipartRequestMock).not.toHaveBeenCalled();
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});
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it("rejects non-MAI image deployments before making requests", async () => {
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const provider = buildMicrosoftFoundryImageGenerationProvider();
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await expect(
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provider.generateImage({
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provider: PROVIDER_ID,
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model: "gpt-deployment",
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prompt: "draw it",
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cfg: buildConfig({ modelId: "gpt-deployment", modelName: "gpt-5.4" }),
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}),
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).rejects.toThrow('supports MAI image deployments only, got "gpt-5.4"');
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expect(resolveApiKeyForProviderMock).not.toHaveBeenCalled();
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expect(postJsonRequestMock).not.toHaveBeenCalled();
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});
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it("rejects MAI image sizes outside Microsoft Foundry limits", async () => {
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const provider = buildMicrosoftFoundryImageGenerationProvider();
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await expect(
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provider.generateImage({
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provider: PROVIDER_ID,
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model: "image-deployment",
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prompt: "draw it",
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cfg: buildConfig(),
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size: "512x512",
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}),
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).rejects.toThrow("at least 768x768");
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expect(postJsonRequestMock).not.toHaveBeenCalled();
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});
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});
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@@ -0,0 +1,348 @@
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// Microsoft Foundry image provider routes MAI image deployments to the MAI API.
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import type { OpenClawConfig } from "openclaw/plugin-sdk/config-contracts";
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import type { ProviderRuntimeModel } from "openclaw/plugin-sdk/core";
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import type {
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ImageGenerationProvider,
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ImageGenerationRequest,
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ImageGenerationResult,
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ImageGenerationSourceImage,
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} from "openclaw/plugin-sdk/image-generation";
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import {
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imageSourceUploadFileName,
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parseOpenAiCompatibleImageResponse,
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} from "openclaw/plugin-sdk/image-generation";
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import { isProviderApiKeyConfigured } from "openclaw/plugin-sdk/provider-auth";
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import { resolveApiKeyForProvider } from "openclaw/plugin-sdk/provider-auth-runtime";
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import {
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assertOkOrThrowHttpError,
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postJsonRequest,
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postMultipartRequest,
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resolveProviderHttpRequestConfig,
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resolveProviderOperationTimeoutMs,
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sanitizeConfiguredModelProviderRequest,
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} from "openclaw/plugin-sdk/provider-http";
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import { normalizeOptionalLowercaseString } from "openclaw/plugin-sdk/string-coerce-runtime";
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import { prepareFoundryRuntimeAuth } from "./runtime.js";
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import { extractFoundryEndpoint } from "./shared-runtime.js";
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import {
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DEFAULT_API,
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isFoundryMaiImageModel,
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isFoundryProviderApi,
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MAI_DEFAULT_IMAGE_MODEL,
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MAI_IMAGE_MODELS,
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PROVIDER_ID,
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} from "./shared.js";
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const DEFAULT_TIMEOUT_MS = 600_000;
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const DEFAULT_IMAGE_SIZE = { width: 1024, height: 1024 };
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const MAI_MIN_IMAGE_SIDE_PX = 768;
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const MAI_MAX_IMAGE_PIXELS = 1_048_576;
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const MAI_IMAGE_BASE_PATH = "/mai/v1";
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const MAI_IMAGE_OUTPUT_MIME = "image/png";
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const MAI_IMAGE_UPLOAD_MIME_TYPES = new Set(["image/jpeg", "image/jpg", "image/png"]);
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type ModelProviderConfig = NonNullable<NonNullable<OpenClawConfig["models"]>["providers"]>[string];
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function readProviderConfig(req: ImageGenerationRequest): ModelProviderConfig | undefined {
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return req.cfg.models?.providers?.[PROVIDER_ID];
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}
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function resolveConfiguredModelName(
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providerConfig: ModelProviderConfig | undefined,
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model: string,
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): string {
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return providerConfig?.models.find((candidate) => candidate.id === model)?.name ?? model;
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}
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function ensureMaiImageModel(
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providerConfig: ModelProviderConfig | undefined,
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model: string,
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): string {
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const modelName = resolveConfiguredModelName(providerConfig, model);
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if (!isFoundryMaiImageModel(modelName)) {
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throw new Error(
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`Microsoft Foundry image generation supports MAI image deployments only, got "${modelName}".`,
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);
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}
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return modelName;
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}
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function isMaiImageEditModel(modelName: string): boolean {
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const normalized = normalizeOptionalLowercaseString(modelName);
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return normalized === "mai-image-2.5" || normalized === "mai-image-2.5-flash";
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}
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function resolveMaiImageSize(size: string | undefined): { width: number; height: number } {
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if (!size) {
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return DEFAULT_IMAGE_SIZE;
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}
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const match = size.match(/^(\d{1,5})x(\d{1,5})$/u);
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if (!match) {
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throw new Error(`Microsoft Foundry MAI image size must use WIDTHxHEIGHT, got "${size}".`);
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}
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const width = Number(match[1]);
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const height = Number(match[2]);
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if (
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!Number.isInteger(width) ||
|
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!Number.isInteger(height) ||
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width < MAI_MIN_IMAGE_SIDE_PX ||
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height < MAI_MIN_IMAGE_SIDE_PX ||
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width * height > MAI_MAX_IMAGE_PIXELS
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) {
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throw new Error(
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`Microsoft Foundry MAI image size must be at least 768x768 and at most 1,048,576 total pixels, got "${size}".`,
|
||||
);
|
||||
}
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return { width, height };
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}
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|
||||
function assertSingleImageCount(count: number | undefined): void {
|
||||
if (count === undefined || count === 1) {
|
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return;
|
||||
}
|
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throw new Error("Microsoft Foundry MAI image models return one image per request.");
|
||||
}
|
||||
|
||||
function resolveConfiguredEndpoint(params: {
|
||||
providerConfig: ModelProviderConfig | undefined;
|
||||
preparedBaseUrl?: string;
|
||||
}): string {
|
||||
const endpoint = extractFoundryEndpoint(params.preparedBaseUrl ?? params.providerConfig?.baseUrl);
|
||||
if (!endpoint) {
|
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throw new Error("Microsoft Foundry endpoint missing for MAI image generation.");
|
||||
}
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||||
return endpoint;
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||||
}
|
||||
|
||||
function buildMaiImageUrl(baseUrl: string, mode: "generations" | "edits"): string {
|
||||
return `${baseUrl.replace(/\/+$/u, "")}/images/${mode}`;
|
||||
}
|
||||
|
||||
function buildRuntimeModel(params: {
|
||||
providerConfig: ModelProviderConfig | undefined;
|
||||
model: string;
|
||||
modelName: string;
|
||||
}): ProviderRuntimeModel {
|
||||
const api = isFoundryProviderApi(params.providerConfig?.api)
|
||||
? params.providerConfig.api
|
||||
: DEFAULT_API;
|
||||
return {
|
||||
id: params.model,
|
||||
name: params.modelName,
|
||||
api,
|
||||
provider: PROVIDER_ID,
|
||||
baseUrl: params.providerConfig?.baseUrl ?? "",
|
||||
reasoning: false,
|
||||
input: ["text"],
|
||||
cost: { input: 0, output: 0, cacheRead: 0, cacheWrite: 0 },
|
||||
contextWindow: 32_000,
|
||||
maxTokens: 0,
|
||||
};
|
||||
}
|
||||
|
||||
async function resolveMaiImageAuth(params: {
|
||||
req: ImageGenerationRequest;
|
||||
providerConfig: ModelProviderConfig | undefined;
|
||||
model: string;
|
||||
modelName: string;
|
||||
}): Promise<{ headers: Record<string, string>; baseUrl?: string }> {
|
||||
const auth = await resolveApiKeyForProvider({
|
||||
provider: PROVIDER_ID,
|
||||
cfg: params.req.cfg,
|
||||
agentDir: params.req.agentDir,
|
||||
store: params.req.authStore,
|
||||
});
|
||||
if (!auth.apiKey) {
|
||||
throw new Error("Microsoft Foundry API key missing");
|
||||
}
|
||||
if (auth.apiKey !== "__entra_id_dynamic__") {
|
||||
return {
|
||||
headers: {
|
||||
"api-key": auth.apiKey,
|
||||
},
|
||||
};
|
||||
}
|
||||
|
||||
const prepared = await prepareFoundryRuntimeAuth({
|
||||
config: params.req.cfg,
|
||||
agentDir: params.req.agentDir,
|
||||
env: process.env,
|
||||
provider: PROVIDER_ID,
|
||||
modelId: params.model,
|
||||
model: buildRuntimeModel({
|
||||
providerConfig: params.providerConfig,
|
||||
model: params.model,
|
||||
modelName: params.modelName,
|
||||
}),
|
||||
apiKey: auth.apiKey,
|
||||
authMode: auth.mode,
|
||||
...(auth.profileId ? { profileId: auth.profileId } : {}),
|
||||
});
|
||||
if (!prepared?.apiKey) {
|
||||
throw new Error("Microsoft Foundry Entra ID token missing after runtime auth refresh.");
|
||||
}
|
||||
return {
|
||||
headers: {
|
||||
Authorization: `Bearer ${prepared.apiKey}`,
|
||||
},
|
||||
...(prepared.baseUrl ? { baseUrl: prepared.baseUrl } : {}),
|
||||
};
|
||||
}
|
||||
|
||||
function buildEditFormData(params: {
|
||||
req: ImageGenerationRequest;
|
||||
image: ImageGenerationSourceImage;
|
||||
model: string;
|
||||
}): FormData {
|
||||
const mimeType = normalizeOptionalLowercaseString(params.image.mimeType) ?? MAI_IMAGE_OUTPUT_MIME;
|
||||
if (!MAI_IMAGE_UPLOAD_MIME_TYPES.has(mimeType)) {
|
||||
throw new Error("Microsoft Foundry MAI image edits require a PNG or JPEG input image.");
|
||||
}
|
||||
const form = new FormData();
|
||||
form.set("model", params.model);
|
||||
form.set("prompt", params.req.prompt);
|
||||
form.set(
|
||||
"image",
|
||||
new Blob([new Uint8Array(params.image.buffer)], {
|
||||
type: mimeType === "image/jpg" ? "image/jpeg" : mimeType,
|
||||
}),
|
||||
imageSourceUploadFileName({
|
||||
image: params.image,
|
||||
index: 0,
|
||||
fileNamePrefix: "microsoft-foundry-input",
|
||||
}),
|
||||
);
|
||||
return form;
|
||||
}
|
||||
|
||||
function parseMaiImageResponse(payload: unknown, label: string) {
|
||||
const images = parseOpenAiCompatibleImageResponse(payload, {
|
||||
defaultMimeType: MAI_IMAGE_OUTPUT_MIME,
|
||||
fileNamePrefix: "microsoft-foundry-image",
|
||||
malformedResponseError: `${label} response malformed`,
|
||||
sniffMimeType: true,
|
||||
});
|
||||
if (images.length === 0) {
|
||||
throw new Error(`${label} response missing image data`);
|
||||
}
|
||||
return images;
|
||||
}
|
||||
|
||||
export function buildMicrosoftFoundryImageGenerationProvider(): ImageGenerationProvider {
|
||||
return {
|
||||
id: PROVIDER_ID,
|
||||
label: "Microsoft Foundry",
|
||||
defaultModel: MAI_DEFAULT_IMAGE_MODEL,
|
||||
defaultTimeoutMs: DEFAULT_TIMEOUT_MS,
|
||||
models: [...MAI_IMAGE_MODELS],
|
||||
isConfigured: ({ agentDir }) =>
|
||||
isProviderApiKeyConfigured({
|
||||
provider: PROVIDER_ID,
|
||||
agentDir,
|
||||
}),
|
||||
capabilities: {
|
||||
generate: {
|
||||
maxCount: 1,
|
||||
supportsSize: true,
|
||||
},
|
||||
edit: {
|
||||
enabled: true,
|
||||
maxCount: 1,
|
||||
maxInputImages: 1,
|
||||
supportsSize: false,
|
||||
},
|
||||
geometry: {
|
||||
sizes: ["1024x1024", "768x1365", "1365x768"],
|
||||
},
|
||||
output: {
|
||||
formats: ["png"],
|
||||
},
|
||||
},
|
||||
async generateImage(req): Promise<ImageGenerationResult> {
|
||||
const providerConfig = readProviderConfig(req);
|
||||
const model = req.model || MAI_DEFAULT_IMAGE_MODEL;
|
||||
const modelName = ensureMaiImageModel(providerConfig, model);
|
||||
const inputImages = req.inputImages ?? [];
|
||||
const mode = inputImages.length > 0 ? "edits" : "generations";
|
||||
assertSingleImageCount(req.count);
|
||||
if (inputImages.length > 1) {
|
||||
throw new Error("Microsoft Foundry MAI image edits support one input image.");
|
||||
}
|
||||
if (mode === "edits" && !isMaiImageEditModel(modelName)) {
|
||||
throw new Error(`${modelName} does not support Microsoft Foundry MAI image edits.`);
|
||||
}
|
||||
|
||||
const auth = await resolveMaiImageAuth({ req, providerConfig, model, modelName });
|
||||
const endpoint = resolveConfiguredEndpoint({
|
||||
providerConfig,
|
||||
preparedBaseUrl: auth.baseUrl,
|
||||
});
|
||||
const resolvedBaseUrl = `${endpoint}${MAI_IMAGE_BASE_PATH}`;
|
||||
const { baseUrl, allowPrivateNetwork, headers, dispatcherPolicy } =
|
||||
resolveProviderHttpRequestConfig({
|
||||
baseUrl: resolvedBaseUrl,
|
||||
defaultBaseUrl: resolvedBaseUrl,
|
||||
allowPrivateNetwork: false,
|
||||
defaultHeaders: auth.headers,
|
||||
request: sanitizeConfiguredModelProviderRequest(providerConfig?.request),
|
||||
provider: PROVIDER_ID,
|
||||
capability: "image",
|
||||
transport: "http",
|
||||
});
|
||||
const timeoutMs = resolveProviderOperationTimeoutMs({
|
||||
timeoutMs: req.timeoutMs,
|
||||
defaultTimeoutMs: DEFAULT_TIMEOUT_MS,
|
||||
});
|
||||
|
||||
const request =
|
||||
mode === "edits"
|
||||
? postMultipartRequest({
|
||||
url: buildMaiImageUrl(baseUrl, mode),
|
||||
headers,
|
||||
body: buildEditFormData({
|
||||
req,
|
||||
image: inputImages[0] as ImageGenerationSourceImage,
|
||||
model,
|
||||
}),
|
||||
timeoutMs,
|
||||
fetchFn: fetch,
|
||||
allowPrivateNetwork,
|
||||
ssrfPolicy: req.ssrfPolicy,
|
||||
dispatcherPolicy,
|
||||
})
|
||||
: postJsonRequest({
|
||||
url: buildMaiImageUrl(baseUrl, mode),
|
||||
headers: (() => {
|
||||
const jsonHeaders = new Headers(headers);
|
||||
jsonHeaders.set("Content-Type", "application/json");
|
||||
return jsonHeaders;
|
||||
})(),
|
||||
body: {
|
||||
model,
|
||||
prompt: req.prompt,
|
||||
...resolveMaiImageSize(req.size),
|
||||
},
|
||||
timeoutMs,
|
||||
fetchFn: fetch,
|
||||
allowPrivateNetwork,
|
||||
ssrfPolicy: req.ssrfPolicy,
|
||||
dispatcherPolicy,
|
||||
});
|
||||
|
||||
const { response, release } = await request;
|
||||
try {
|
||||
const label =
|
||||
mode === "edits"
|
||||
? "Microsoft Foundry MAI image edit"
|
||||
: "Microsoft Foundry MAI image generation";
|
||||
await assertOkOrThrowHttpError(response, `${label} failed`);
|
||||
return {
|
||||
images: parseMaiImageResponse(await response.json(), label),
|
||||
model,
|
||||
};
|
||||
} finally {
|
||||
await release();
|
||||
}
|
||||
},
|
||||
};
|
||||
}
|
||||
@@ -1,5 +1,6 @@
|
||||
// Microsoft Foundry plugin entrypoint registers its OpenClaw integration.
|
||||
import { definePluginEntry } from "openclaw/plugin-sdk/plugin-entry";
|
||||
import { buildMicrosoftFoundryImageGenerationProvider } from "./image-generation-provider.js";
|
||||
import { buildMicrosoftFoundryProvider } from "./provider.js";
|
||||
|
||||
export default definePluginEntry({
|
||||
@@ -8,5 +9,6 @@ export default definePluginEntry({
|
||||
description: "Microsoft Foundry provider with Entra ID and API key auth",
|
||||
register(api) {
|
||||
api.registerProvider(buildMicrosoftFoundryProvider());
|
||||
api.registerImageGenerationProvider(buildMicrosoftFoundryImageGenerationProvider());
|
||||
},
|
||||
});
|
||||
|
||||
@@ -13,6 +13,18 @@
|
||||
}
|
||||
]
|
||||
},
|
||||
"contracts": {
|
||||
"imageGenerationProviders": ["microsoft-foundry"]
|
||||
},
|
||||
"imageGenerationProviderMetadata": {
|
||||
"microsoft-foundry": {
|
||||
"authSignals": [
|
||||
{
|
||||
"provider": "microsoft-foundry"
|
||||
}
|
||||
]
|
||||
}
|
||||
},
|
||||
"providerAuthChoices": [
|
||||
{
|
||||
"provider": "microsoft-foundry",
|
||||
|
||||
Reference in New Issue
Block a user