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Adapted from PR #1286 (mugnimaestra/feat/xai-grok-provider) to match existing app architecture. Includes: - OAuth 2.0 with PKCE on loopback port 56121 (Grok Build) - API key auth path (console.x.ai) - Token refresh wiring (open-sse + sse tokenRefresh) - Dashboard OAuth modal with fixed-port flow + manual code fallback - Provider registry entries (OAuth + API key) - xAI image generation via OpenAI-compatible adapter (grok-2-image-1212 model, no size/quality/style params) Excludes (intentionally, to match app patterns): - Custom xAI Responses executor (DefaultExecutor handles /chat/completions) - xAI-specific translators (app uses OpenAI as intermediate format) - Image edits (not supported by current imageGenerationCore) - Video endpoints (app has no video subsystem yet) - CLI xai-login command Refs decolua#1286 Co-authored-by: Cursor <cursoragent@cursor.com>
41 lines
1.5 KiB
JavaScript
41 lines
1.5 KiB
JavaScript
// OpenAI-compatible adapter (used by openai, minimax, openrouter, recraft)
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const ENDPOINTS = {
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openai: "https://api.openai.com/v1/images/generations",
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minimax: "https://api.minimaxi.com/v1/images/generations",
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openrouter: "https://openrouter.ai/api/v1/images/generations",
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recraft: "https://external.api.recraft.ai/v1/images/generations",
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xai: "https://api.x.ai/v1/images/generations",
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};
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export default function createOpenAIAdapter(providerId) {
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return {
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buildUrl: () => ENDPOINTS[providerId],
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buildHeaders: (creds) => {
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const headers = { "Content-Type": "application/json" };
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const key = creds?.apiKey || creds?.accessToken;
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if (key) headers["Authorization"] = `Bearer ${key}`;
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if (providerId === "openrouter") {
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headers["HTTP-Referer"] = "https://endpoint-proxy.local";
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headers["X-Title"] = "Endpoint Proxy";
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}
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return headers;
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},
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buildBody: (model, body) => {
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const { prompt, n = 1, size = "1024x1024", quality, style, response_format } = body;
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// xAI only accepts prompt, model, n, response_format
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if (providerId === "xai") {
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const req = { model, prompt, n };
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if (response_format) req.response_format = response_format;
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return req;
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}
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const req = { model, prompt, n, size };
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if (quality) req.quality = quality;
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if (style) req.style = style;
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if (response_format) req.response_format = response_format;
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return req;
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},
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normalize: (responseBody) => responseBody,
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};
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}
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