Feat : Skills

open-sse/handlers/embeddingProviders/_base.js

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+// Shared embedding helpers
+export function bearerAuth(creds) {
+  return { "Authorization": `Bearer ${creds.apiKey || creds.accessToken}` };
+}

open-sse/handlers/embeddingProviders/gemini.js

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+// Google Gemini embeddings — embedContent / batchEmbedContents
+const BASE = "https://generativelanguage.googleapis.com/v1beta";
+
+function modelPath(model) {
+  return model.startsWith("models/") ? model : `models/${model}`;
+}
+
+export default {
+  buildUrl: (model, creds, { input } = {}) => {
+    const apiKey = creds.apiKey || creds.accessToken;
+    const path = modelPath(model);
+    const op = Array.isArray(input) ? "batchEmbedContents" : "embedContent";
+    return `${BASE}/${path}:${op}?key=${encodeURIComponent(apiKey)}`;
+  },
+  buildHeaders: () => ({ "Content-Type": "application/json" }),
+  buildBody: (model, { input }) => {
+    const m = modelPath(model);
+    if (Array.isArray(input)) {
+      return { requests: input.map((text) => ({ model: m, content: { parts: [{ text: String(text) }] } })) };
+    }
+    return { model: m, content: { parts: [{ text: String(input) }] } };
+  },
+  normalize: (responseBody, model) => {
+    if (responseBody.object === "list" && Array.isArray(responseBody.data)) return responseBody;
+    let items = [];
+    if (Array.isArray(responseBody.embeddings)) {
+      items = responseBody.embeddings.map((emb, idx) => ({
+        object: "embedding",
+        index: idx,
+        embedding: emb.values || [],
+      }));
+    } else if (responseBody.embedding?.values) {
+      items = [{ object: "embedding", index: 0, embedding: responseBody.embedding.values }];
+    }
+    return {
+      object: "list",
+      data: items,
+      model,
+      usage: { prompt_tokens: 0, total_tokens: 0 },
+    };
+  },
+};

open-sse/handlers/embeddingProviders/index.js

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+// Embeddings provider adapter registry
+import createOpenAIEmbeddingAdapter from "./openai.js";
+import gemini from "./gemini.js";
+import openaiCompatNode from "./openaiCompatNode.js";
+
+const OPENAI_COMPAT_PROVIDERS = [
+  "openai", "openrouter", "mistral", "voyage-ai", "fireworks",
+  "together", "nebius", "github", "nvidia", "jina-ai",
+];
+
+const ADAPTERS = {
+  ...Object.fromEntries(OPENAI_COMPAT_PROVIDERS.map((id) => [id, createOpenAIEmbeddingAdapter(id)])),
+  gemini,
+  google_ai_studio: gemini,
+};
+
+export function getEmbeddingAdapter(provider) {
+  if (ADAPTERS[provider]) return ADAPTERS[provider];
+  if (provider?.startsWith?.("openai-compatible-") || provider?.startsWith?.("custom-embedding-")) {
+    return openaiCompatNode;
+  }
+  return null;
+}

open-sse/handlers/embeddingProviders/openai.js

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+// OpenAI-compatible embeddings adapter (most providers)
+import { bearerAuth } from "./_base.js";
+
+const ENDPOINTS = {
+  openai: "https://api.openai.com/v1/embeddings",
+  openrouter: "https://openrouter.ai/api/v1/embeddings",
+  mistral: "https://api.mistral.ai/v1/embeddings",
+  "voyage-ai": "https://api.voyageai.com/v1/embeddings",
+  fireworks: "https://api.fireworks.ai/inference/v1/embeddings",
+  together: "https://api.together.xyz/v1/embeddings",
+  nebius: "https://api.tokenfactory.nebius.com/v1/embeddings",
+  github: "https://models.github.ai/inference/embeddings",
+  nvidia: "https://integrate.api.nvidia.com/v1/embeddings",
+  "jina-ai": "https://api.jina.ai/v1/embeddings",
+};
+
+export default function createOpenAIEmbeddingAdapter(providerId) {
+  return {
+    buildUrl: () => ENDPOINTS[providerId],
+    buildHeaders: (creds) => {
+      const headers = { "Content-Type": "application/json", ...bearerAuth(creds) };
+      if (providerId === "openrouter") {
+        headers["HTTP-Referer"] = "https://endpoint-proxy.local";
+        headers["X-Title"] = "Endpoint Proxy";
+      }
+      return headers;
+    },
+    buildBody: (model, { input, encoding_format, dimensions }) => {
+      const body = { model, input };
+      if (encoding_format) body.encoding_format = encoding_format;
+      if (dimensions != null && dimensions !== "") {
+        const dim = Number(dimensions);
+        if (Number.isFinite(dim) && dim > 0) body.dimensions = dim;
+      }
+      return body;
+    },
+    normalize: (responseBody) => responseBody,
+  };
+}

open-sse/handlers/embeddingProviders/openaiCompatNode.js

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+// Custom node providers (openai-compatible-* / custom-embedding-*) — baseUrl from credentials
+import createOpenAIEmbeddingAdapter from "./openai.js";
+
+const baseAdapter = createOpenAIEmbeddingAdapter("openai");
+
+export default {
+  ...baseAdapter,
+  buildUrl: (_model, creds) => {
+    const rawBaseUrl = creds?.providerSpecificData?.baseUrl || "https://api.openai.com/v1";
+    const baseUrl = rawBaseUrl.replace(/\/$/, "").replace(/\/embeddings$/, "");
+    return `${baseUrl}/embeddings`;
+  },
+};