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/vector-stores/files.mjs

@@ -0,0 +1,138 @@
+// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
+import { APIResource } from "../../core/resource.mjs";
+import { CursorPage, Page } from "../../core/pagination.mjs";
+import { buildHeaders } from "../../internal/headers.mjs";
+import { sleep } from "../../internal/utils.mjs";
+import { path } from "../../internal/utils/path.mjs";
+export class Files extends APIResource {
+    /**
+     * Create a vector store file by attaching a
+     * [File](https://platform.openai.com/docs/api-reference/files) to a
+     * [vector store](https://platform.openai.com/docs/api-reference/vector-stores/object).
+     */
+    create(vectorStoreID, body, options) {
+        return this._client.post(path `/vector_stores/${vectorStoreID}/files`, {
+            body,
+            ...options,
+            headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),
+        });
+    }
+    /**
+     * Retrieves a vector store file.
+     */
+    retrieve(fileID, params, options) {
+        const { vector_store_id } = params;
+        return this._client.get(path `/vector_stores/${vector_store_id}/files/${fileID}`, {
+            ...options,
+            headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),
+        });
+    }
+    /**
+     * Update attributes on a vector store file.
+     */
+    update(fileID, params, options) {
+        const { vector_store_id, ...body } = params;
+        return this._client.post(path `/vector_stores/${vector_store_id}/files/${fileID}`, {
+            body,
+            ...options,
+            headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),
+        });
+    }
+    /**
+     * Returns a list of vector store files.
+     */
+    list(vectorStoreID, query = {}, options) {
+        return this._client.getAPIList(path `/vector_stores/${vectorStoreID}/files`, (CursorPage), {
+            query,
+            ...options,
+            headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),
+        });
+    }
+    /**
+     * Delete a vector store file. This will remove the file from the vector store but
+     * the file itself will not be deleted. To delete the file, use the
+     * [delete file](https://platform.openai.com/docs/api-reference/files/delete)
+     * endpoint.
+     */
+    delete(fileID, params, options) {
+        const { vector_store_id } = params;
+        return this._client.delete(path `/vector_stores/${vector_store_id}/files/${fileID}`, {
+            ...options,
+            headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),
+        });
+    }
+    /**
+     * Attach a file to the given vector store and wait for it to be processed.
+     */
+    async createAndPoll(vectorStoreId, body, options) {
+        const file = await this.create(vectorStoreId, body, options);
+        return await this.poll(vectorStoreId, file.id, options);
+    }
+    /**
+     * Wait for the vector store file to finish processing.
+     *
+     * Note: this will return even if the file failed to process, you need to check
+     * file.last_error and file.status to handle these cases
+     */
+    async poll(vectorStoreID, fileID, options) {
+        const headers = buildHeaders([
+            options?.headers,
+            {
+                'X-Stainless-Poll-Helper': 'true',
+                'X-Stainless-Custom-Poll-Interval': options?.pollIntervalMs?.toString() ?? undefined,
+            },
+        ]);
+        while (true) {
+            const fileResponse = await this.retrieve(fileID, {
+                vector_store_id: vectorStoreID,
+            }, { ...options, headers }).withResponse();
+            const file = fileResponse.data;
+            switch (file.status) {
+                case 'in_progress':
+                    let sleepInterval = 5000;
+                    if (options?.pollIntervalMs) {
+                        sleepInterval = options.pollIntervalMs;
+                    }
+                    else {
+                        const headerInterval = fileResponse.response.headers.get('openai-poll-after-ms');
+                        if (headerInterval) {
+                            const headerIntervalMs = parseInt(headerInterval);
+                            if (!isNaN(headerIntervalMs)) {
+                                sleepInterval = headerIntervalMs;
+                            }
+                        }
+                    }
+                    await sleep(sleepInterval);
+                    break;
+                case 'failed':
+                case 'completed':
+                    return file;
+            }
+        }
+    }
+    /**
+     * Upload a file to the `files` API and then attach it to the given vector store.
+     *
+     * Note the file will be asynchronously processed (you can use the alternative
+     * polling helper method to wait for processing to complete).
+     */
+    async upload(vectorStoreId, file, options) {
+        const fileInfo = await this._client.files.create({ file: file, purpose: 'assistants' }, options);
+        return this.create(vectorStoreId, { file_id: fileInfo.id }, options);
+    }
+    /**
+     * Add a file to a vector store and poll until processing is complete.
+     */
+    async uploadAndPoll(vectorStoreId, file, options) {
+        const fileInfo = await this.upload(vectorStoreId, file, options);
+        return await this.poll(vectorStoreId, fileInfo.id, options);
+    }
+    /**
+     * Retrieve the parsed contents of a vector store file.
+     */
+    content(fileID, params, options) {
+        const { vector_store_id } = params;
+        return this._client.getAPIList(path `/vector_stores/${vector_store_id}/files/${fileID}/content`, (Page), { ...options, headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]) });
+    }
+}
+//# sourceMappingURL=files.mjs.map