mirror of
https://github.com/hanzo-apps/dataroom.git
synced 2026-10-30 14:47:36 +00:00
zeekay
98f0da7fa5
hanzo-build-linux-amd64 is the only ARC runner pool installed on hanzo-k8s today (arm64 pool is paused until DigitalOcean ships arm64 droplets, per ~/work/hanzo/.github/RUNNERS.md). The arm64 job was waiting on spark-hanzoai-arm64 — not provisioned in this cluster — so every build sat in queue forever and the amd64 leg got cancelled. Set platforms: linux/amd64 on the reusable build call to skip arm64 entirely. Re-add arm64 if/when DO ships arm64 droplets and the spark runner pool comes back online.
88 lines
2.5 KiB
TypeScript
88 lines
2.5 KiB
TypeScript
import { z } from "zod";
|
|
|
|
/**
|
|
* Schema for creating a new chat
|
|
*/
|
|
export const createChatSchema = z.object({
|
|
documentId: z.string().cuid().optional(),
|
|
dataroomId: z.string().cuid().optional(),
|
|
linkId: z.string().cuid().optional(),
|
|
viewId: z.string().cuid().optional(),
|
|
title: z.string().max(100).optional(),
|
|
viewerId: z.string().cuid().optional(),
|
|
});
|
|
|
|
/**
|
|
* Schema for sending a message
|
|
*/
|
|
export const sendMessageSchema = z.object({
|
|
content: z.string().min(1).max(10000),
|
|
/** Optional document ID to filter file_search results to a specific document */
|
|
filterDocumentId: z.string().cuid().optional(),
|
|
/** Optional array of dataroom document IDs to filter file_search results */
|
|
filterDataroomDocumentIds: z.array(z.string().cuid()).optional(),
|
|
});
|
|
|
|
/**
|
|
* Schema for indexing a document
|
|
*/
|
|
export const indexDocumentSchema = z.object({
|
|
documentId: z.string().cuid(),
|
|
versionId: z.string().cuid().optional(),
|
|
});
|
|
|
|
/**
|
|
* Schema for indexing a dataroom
|
|
*/
|
|
export const indexDataroomSchema = z.object({
|
|
dataroomId: z.string().cuid(),
|
|
documentIds: z.array(z.string().cuid()).optional(),
|
|
});
|
|
|
|
/**
|
|
* Schema for chat query parameters
|
|
*/
|
|
export const chatQuerySchema = z.object({
|
|
teamId: z.string().cuid().optional(),
|
|
documentId: z.string().cuid().optional(),
|
|
dataroomId: z.string().cuid().optional(),
|
|
userId: z.string().cuid().optional(),
|
|
viewerId: z.string().cuid().optional(),
|
|
limit: z.coerce.number().int().min(1).max(100).optional().default(20),
|
|
offset: z.coerce.number().int().min(0).optional().default(0),
|
|
});
|
|
|
|
/**
|
|
* Schema for enabling agents on a document
|
|
*/
|
|
export const enableDocumentAgentsSchema = z.object({
|
|
agentsEnabled: z.boolean(),
|
|
});
|
|
|
|
/**
|
|
* Schema for enabling agents on a dataroom
|
|
*/
|
|
export const enableDataroomAgentsSchema = z.object({
|
|
agentsEnabled: z.boolean(),
|
|
});
|
|
|
|
/**
|
|
* Schema for enabling agents on a team
|
|
*/
|
|
export const enableTeamAgentsSchema = z.object({
|
|
agentsEnabled: z.boolean(),
|
|
});
|
|
|
|
export type CreateChatInput = z.infer<typeof createChatSchema>;
|
|
export type SendMessageInput = z.infer<typeof sendMessageSchema>;
|
|
export type IndexDocumentInput = z.infer<typeof indexDocumentSchema>;
|
|
export type IndexDataroomInput = z.infer<typeof indexDataroomSchema>;
|
|
export type ChatQueryInput = z.infer<typeof chatQuerySchema>;
|
|
export type EnableDocumentAgentsInput = z.infer<
|
|
typeof enableDocumentAgentsSchema
|
|
>;
|
|
export type EnableDataroomAgentsInput = z.infer<
|
|
typeof enableDataroomAgentsSchema
|
|
>;
|
|
export type EnableTeamAgentsInput = z.infer<typeof enableTeamAgentsSchema>;
|