File size: 2,722 Bytes
5da61b4 0bfcf81 5da61b4 0bfcf81 b7b2c8c 3a01622 1b66f8d 2e28042 0bfcf81 06e879d cf7ac8d 992a8de af58e08 06e879d 0bfcf81 3a01622 af58e08 06e879d 0bfcf81 06e879d 0bfcf81 06e879d 992a8de 3a01622 0bfcf81 af58e08 41f29a4 3a01622 41f29a4 e6e851b 992a8de af58e08 1b66f8d f249cfc 0bfcf81 06e879d e6e851b 992a8de 1b66f8d d5559df 64d3841 06e879d 1b66f8d 5da61b4 1b66f8d 5da61b4 1b66f8d 7b62aec 767afa7 7b62aec |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 |
import type { RequestHandler } from "./$types";
import { collections } from "$lib/server/database";
import { ObjectId } from "mongodb";
import { error, redirect } from "@sveltejs/kit";
import { base } from "$app/paths";
import { z } from "zod";
import type { Message } from "$lib/types/Message";
import { models, validateModel } from "$lib/server/models";
import { defaultEmbeddingModel } from "$lib/server/embeddingModels";
export const POST: RequestHandler = async ({ locals, request }) => {
const body = await request.text();
let title = "";
let messages: Message[] = [];
const values = z
.object({
fromShare: z.string().optional(),
model: validateModel(models),
assistantId: z.string().optional(),
preprompt: z.string().optional(),
})
.parse(JSON.parse(body));
let embeddingModel: string;
if (values.fromShare) {
const conversation = await collections.sharedConversations.findOne({
_id: values.fromShare,
});
if (!conversation) {
throw error(404, "Conversation not found");
}
title = conversation.title;
messages = conversation.messages;
values.model = conversation.model;
values.preprompt = conversation.preprompt;
values.assistantId = conversation.assistantId?.toString();
embeddingModel = conversation.embeddingModel;
}
const model = models.find((m) => m.name === values.model);
if (!model) {
throw error(400, "Invalid model");
}
embeddingModel ??= model.embeddingModel ?? defaultEmbeddingModel.name;
if (model.unlisted) {
throw error(400, "Can't start a conversation with an unlisted model");
}
// Use the model preprompt if there is no conversation/preprompt in the request body
const preprompt = await (async () => {
if (values.assistantId) {
const assistant = await collections.assistants.findOne({
_id: new ObjectId(values.assistantId),
});
return assistant?.preprompt;
} else {
return values?.preprompt ?? model?.preprompt;
}
})();
const res = await collections.conversations.insertOne({
_id: new ObjectId(),
title: title || "New Chat",
messages,
model: values.model,
preprompt: preprompt === model?.preprompt ? model?.preprompt : preprompt,
assistantId: values.assistantId ? new ObjectId(values.assistantId) : undefined,
createdAt: new Date(),
updatedAt: new Date(),
embeddingModel,
...(locals.user ? { userId: locals.user._id } : { sessionId: locals.sessionId }),
...(values.fromShare ? { meta: { fromShareId: values.fromShare } } : {}),
});
return new Response(
JSON.stringify({
conversationId: res.insertedId.toString(),
}),
{ headers: { "Content-Type": "application/json" } }
);
};
export const GET: RequestHandler = async () => {
throw redirect(302, `${base}/`);
};
|