Initial commit: KidsAI Explorer with complete functionality

- Complete KidsAI Explorer application
- Multi-language support (English/German)
- AI-powered educational guidance using OpenAI
- Interactive chat interface for children
- Proper placeholder translation fixes
- Mobile-responsive design
- Educational framework for critical thinking

node_modules/openai/resources/embeddings.js

@@ -0,0 +1,56 @@
+"use strict";
+// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
+Object.defineProperty(exports, "__esModule", { value: true });
+exports.Embeddings = void 0;
+const resource_1 = require("../core/resource.js");
+const utils_1 = require("../internal/utils.js");
+class Embeddings extends resource_1.APIResource {
+    /**
+     * Creates an embedding vector representing the input text.
+     *
+     * @example
+     * ```ts
+     * const createEmbeddingResponse =
+     *   await client.embeddings.create({
+     *     input: 'The quick brown fox jumped over the lazy dog',
+     *     model: 'text-embedding-3-small',
+     *   });
+     * ```
+     */
+    create(body, options) {
+        const hasUserProvidedEncodingFormat = !!body.encoding_format;
+        // No encoding_format specified, defaulting to base64 for performance reasons
+        // See https://github.com/openai/openai-node/pull/1312
+        let encoding_format = hasUserProvidedEncodingFormat ? body.encoding_format : 'base64';
+        if (hasUserProvidedEncodingFormat) {
+            (0, utils_1.loggerFor)(this._client).debug('embeddings/user defined encoding_format:', body.encoding_format);
+        }
+        const response = this._client.post('/embeddings', {
+            body: {
+                ...body,
+                encoding_format: encoding_format,
+            },
+            ...options,
+        });
+        // if the user specified an encoding_format, return the response as-is
+        if (hasUserProvidedEncodingFormat) {
+            return response;
+        }
+        // in this stage, we are sure the user did not specify an encoding_format
+        // and we defaulted to base64 for performance reasons
+        // we are sure then that the response is base64 encoded, let's decode it
+        // the returned result will be a float32 array since this is OpenAI API's default encoding
+        (0, utils_1.loggerFor)(this._client).debug('embeddings/decoding base64 embeddings from base64');
+        return response._thenUnwrap((response) => {
+            if (response && response.data) {
+                response.data.forEach((embeddingBase64Obj) => {
+                    const embeddingBase64Str = embeddingBase64Obj.embedding;
+                    embeddingBase64Obj.embedding = (0, utils_1.toFloat32Array)(embeddingBase64Str);
+                });
+            }
+            return response;
+        });
+    }
+}
+exports.Embeddings = Embeddings;
+//# sourceMappingURL=embeddings.js.map