mirror of
https://github.com/hanzoai/dataroom.git
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Drop the dual-licensed `ee/` tree entirely. All features previously
locked behind the Hanzo Dataroom Commercial License are now part of the
AGPL-3.0 core and freely available — custom domains, branded viewing,
advanced analytics, watermarks, access controls, Q&A, AI vector stores,
workflows, SAML SSO, dataroom invitations, conversations, templates.
Layout changes:
* `ee/features/{ai,conversations,workflows,permissions,storage,templates,
dataroom-invitations,access-notifications,security,conversions}/` →
`features/<name>/` (AGPL).
* `ee/limits/` → `lib/billing/limits/` with every plan resolving to an
unlimited profile (no users/links/documents/domains/datarooms cap,
conversations and watermarks always on).
* `ee/stripe/` → `lib/billing/legacy/` (already a compat shim over
`@hanzoai/commerce`; renewal-reminder webhook is now a no-op).
* `ee/features/billing/cancellation/` deleted. Pause/unpause/cancel/
retention routes now compile against `lib/billing/cancellation.ts`
stubs that return 410 Gone; `isTeamPaused`/`isTeamPausedById` in
`lib/billing/paused.ts` always report active. `CancellationModal` is
a no-op shim in `components/billing/`.
* `app/(ee)/api/*` route group folded into `app/api/*` (SAML auth,
SCIM, AI chat, workflows, FAQ, link-upload).
Build: `npm run build` green.
44 lines
1.0 KiB
TypeScript
44 lines
1.0 KiB
TypeScript
import { openai } from "@/features/ai/lib/models/openai";
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interface VectorStoreFileOptions {
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vectorStoreId: string;
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fileId: string;
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metadata: {
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teamId: string;
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documentId: string;
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documentName: string;
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versionId: string;
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folderId?: string;
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dataroomId?: string;
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dataroomDocumentId?: string;
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dataroomFolderId?: string;
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};
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}
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/**
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* Upload a file to a vector store
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* @param options - Vector store file options including vector store ID, file ID, and metadata
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* @returns The vector store file ID
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*/
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export async function addFileToVectorStore({
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vectorStoreId,
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fileId,
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metadata,
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}: VectorStoreFileOptions): Promise<string> {
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try {
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// Add file to vector store with metadata
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const vectorStoreFile = await openai.vectorStores.files.create(
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vectorStoreId,
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{
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file_id: fileId,
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attributes: metadata,
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},
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);
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return vectorStoreFile.id;
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} catch (error) {
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console.error("Error adding file to vector store:", error);
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throw new Error("Failed to add file to vector store");
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}
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}
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