import { Request, Response, NextFunction } from "express"; import { z } from "zod"; import { db, resources } from "@server/db"; import { eq } from "drizzle-orm"; import response from "@server/lib/response"; import HttpCode from "@server/types/HttpCode"; import createHttpError from "http-errors"; import logger from "@server/logger"; import { fromError } from "zod-validation-error"; import { OpenAPITags, registry } from "@server/openApi"; import { isInferenceFieldsError, resolveProviderAttachments, resourceAiProviderAttachmentSchema, setPublicResourceAiProviders } from "@server/lib/aiInferenceResource"; const setResourceAiProvidersBodySchema = z.strictObject({ providers: z.array(resourceAiProviderAttachmentSchema) }); const setResourceAiProvidersParamsSchema = z.strictObject({ resourceId: z.coerce.number().int().positive() }); registry.registerPath({ method: "post", path: "/resource/{resourceId}/ai-providers", description: "Replace the AI providers attached to an inference resource. At least one provider is required. Model keys must be unique across attached catalog providers.", tags: [OpenAPITags.PublicResource], request: { params: setResourceAiProvidersParamsSchema, body: { content: { "application/json": { schema: setResourceAiProvidersBodySchema } } } }, responses: { 200: { description: "Successful response", content: { "application/json": { schema: z.object({ data: z.record(z.string(), z.any()).nullable(), success: z.boolean(), error: z.boolean(), message: z.string(), status: z.number() }) } } } } }); export async function setResourceAiProviders( req: Request, res: Response, next: NextFunction ): Promise { try { const parsedBody = setResourceAiProvidersBodySchema.safeParse(req.body); if (!parsedBody.success) { return next( createHttpError( HttpCode.BAD_REQUEST, fromError(parsedBody.error).toString() ) ); } const { providers } = parsedBody.data; const parsedParams = setResourceAiProvidersParamsSchema.safeParse( req.params ); if (!parsedParams.success) { return next( createHttpError( HttpCode.BAD_REQUEST, fromError(parsedParams.error).toString() ) ); } const { resourceId } = parsedParams.data; const [resource] = await db .select() .from(resources) .where(eq(resources.resourceId, resourceId)) .limit(1); if (!resource) { return next( createHttpError(HttpCode.NOT_FOUND, "Resource not found") ); } if (resource.mode !== "inference") { return next( createHttpError( HttpCode.BAD_REQUEST, "AI providers can only be attached to inference-mode resources" ) ); } const attachments = await resolveProviderAttachments({ orgId: resource.orgId, attachments: providers, requireAtLeastOne: true }); if (isInferenceFieldsError(attachments)) { return next( createHttpError(HttpCode.BAD_REQUEST, attachments.error) ); } await setPublicResourceAiProviders(resourceId, attachments); return response(res, { data: {}, success: true, error: false, message: "AI providers set for resource successfully", status: HttpCode.CREATED }); } catch (error) { logger.error(error); return next( createHttpError(HttpCode.INTERNAL_SERVER_ERROR, "An error occurred") ); } }