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import { MESSAGES_BEFORE_LOGIN, RATE_LIMIT } from "$env/static/private";
import { authCondition, requiresUser } from "$lib/server/auth";
import { collections } from "$lib/server/database";
import { models } from "$lib/server/models";
import { ERROR_MESSAGES } from "$lib/stores/errors";
import type { Message } from "$lib/types/Message";
import { error } from "@sveltejs/kit";
import { ObjectId } from "mongodb";
import { z } from "zod";
import type { MessageUpdate } from "$lib/types/MessageUpdate";
import { runWebSearch } from "$lib/server/websearch/runWebSearch";
import { abortedGenerations } from "$lib/server/abortedGenerations";
import { summarize } from "$lib/server/summarize";
import { uploadFile } from "$lib/server/files/uploadFile";
import sizeof from "image-size";
import { convertLegacyConversation } from "$lib/utils/tree/convertLegacyConversation";
import { isMessageId } from "$lib/utils/tree/isMessageId";
import { buildSubtree } from "$lib/utils/tree/buildSubtree.js";
import { addChildren } from "$lib/utils/tree/addChildren.js";
import { addSibling } from "$lib/utils/tree/addSibling.js";
import { preprocessMessages } from "$lib/server/preprocessMessages.js";
export async function POST({ request, locals, params, getClientAddress }) {
const id = z.string().parse(params.id);
const convId = new ObjectId(id);
const promptedAt = new Date();
const userId = locals.user?._id ?? locals.sessionId;
// check user
if (!userId) {
throw error(401, "Unauthorized");
}
// check if the user has access to the conversation
const convBeforeCheck = await collections.conversations.findOne({
_id: convId,
...authCondition(locals),
});
if (convBeforeCheck && !convBeforeCheck.rootMessageId) {
const res = await collections.conversations.updateOne(
{
_id: convId,
},
{
$set: {
...convBeforeCheck,
...convertLegacyConversation(convBeforeCheck),
},
}
);
if (!res.acknowledged) {
throw error(500, "Failed to convert conversation");
}
}
const conv = await collections.conversations.findOne({
_id: convId,
...authCondition(locals),
});
if (!conv) {
throw error(404, "Conversation not found");
}
// register the event for ratelimiting
await collections.messageEvents.insertOne({
userId,
createdAt: new Date(),
ip: getClientAddress(),
});
// guest mode check
if (
!locals.user?._id &&
requiresUser &&
(MESSAGES_BEFORE_LOGIN ? parseInt(MESSAGES_BEFORE_LOGIN) : 0) > 0
) {
const totalMessages =
(
await collections.conversations
.aggregate([
{ $match: authCondition(locals) },
{ $project: { messages: 1 } },
{ $unwind: "$messages" },
{ $match: { "messages.from": "assistant" } },
{ $count: "messages" },
])
.toArray()
)[0]?.messages ?? 0;
if (totalMessages > parseInt(MESSAGES_BEFORE_LOGIN)) {
throw error(429, "Exceeded number of messages before login");
}
}
// check if the user is rate limited
const nEvents = Math.max(
await collections.messageEvents.countDocuments({ userId }),
await collections.messageEvents.countDocuments({ ip: getClientAddress() })
);
if (RATE_LIMIT != "" && nEvents > parseInt(RATE_LIMIT)) {
throw error(429, ERROR_MESSAGES.rateLimited);
}
// fetch the model
const model = models.find((m) => m.id === conv.model);
if (!model) {
throw error(410, "Model not available anymore");
}
// finally parse the content of the request
const json = await request.json();
const {
inputs: newPrompt,
id: messageId,
is_retry: isRetry,
is_continue: isContinue,
web_search: webSearch,
files: b64files,
} = z
.object({
id: z.string().uuid().refine(isMessageId).optional(), // parent message id to append to for a normal message, or the message id for a retry/continue
inputs: z.optional(z.string().trim().min(1)),
is_retry: z.optional(z.boolean()),
is_continue: z.optional(z.boolean()),
web_search: z.optional(z.boolean()),
files: z.optional(z.array(z.string())),
})
.parse(json);
// files is an array of base64 strings encoding Blob objects
// we need to convert this array to an array of File objects
const files = b64files?.map((file) => {
const blob = Buffer.from(file, "base64");
return new File([blob], "image.png");
});
// check sizes
if (files) {
const filechecks = await Promise.all(
files.map(async (file) => {
const dimensions = sizeof(Buffer.from(await file.arrayBuffer()));
return (
file.size > 2 * 1024 * 1024 ||
(dimensions.width ?? 0) > 224 ||
(dimensions.height ?? 0) > 224
);
})
);
if (filechecks.some((check) => check)) {
throw error(413, "File too large, should be <2MB and 224x224 max.");
}
}
let hashes: undefined | string[];
if (files) {
hashes = await Promise.all(files.map(async (file) => await uploadFile(file, conv)));
}
// we will append tokens to the content of this message
let messageToWriteToId: Message["id"] | undefined = undefined;
// used for building the prompt, subtree of the conversation that goes from the latest message to the root
let messagesForPrompt: Message[] = [];
if (isContinue && messageId) {
// if it's the last message and we continue then we build the prompt up to the last message
// we will strip the end tokens afterwards when the prompt is built
if ((conv.messages.find((msg) => msg.id === messageId)?.children?.length ?? 0) > 0) {
throw error(400, "Can only continue the last message");
}
messageToWriteToId = messageId;
messagesForPrompt = buildSubtree(conv, messageId);
} else if (isRetry && messageId) {
// two cases, if we're retrying a user message with a newPrompt set,
// it means we're editing a user message
// if we're retrying on an assistant message, newPrompt cannot be set
// it means we're retrying the last assistant message for a new answer
const messageToRetry = conv.messages.find((message) => message.id === messageId);
if (!messageToRetry) {
throw error(404, "Message not found");
}
if (messageToRetry.from === "user" && newPrompt) {
// add a sibling to this message from the user, with the alternative prompt
// add a children to that sibling, where we can write to
const newUserMessageId = addSibling(conv, { from: "user", content: newPrompt }, messageId);
messageToWriteToId = addChildren(
conv,
{ from: "assistant", content: "", files: hashes },
newUserMessageId
);
messagesForPrompt = buildSubtree(conv, newUserMessageId);
} else if (messageToRetry.from === "assistant") {
// we're retrying an assistant message, to generate a new answer
// just add a sibling to the assistant answer where we can write to
messageToWriteToId = addSibling(conv, { from: "assistant", content: "" }, messageId);
messagesForPrompt = buildSubtree(conv, messageId);
messagesForPrompt.pop(); // don't need the latest assistant message in the prompt since we're retrying it
}
} else {
// just a normal linear conversation, so we add the user message
// and the blank assistant message back to back
const newUserMessageId = addChildren(
conv,
{
from: "user",
content: newPrompt ?? "",
files: hashes,
createdAt: new Date(),
updatedAt: new Date(),
},
messageId
);
messageToWriteToId = addChildren(
conv,
{
from: "assistant",
content: "",
createdAt: new Date(),
updatedAt: new Date(),
},
newUserMessageId
);
// build the prompt from the user message
messagesForPrompt = buildSubtree(conv, newUserMessageId);
}
const messageToWriteTo = conv.messages.find((message) => message.id === messageToWriteToId);
if (!messageToWriteTo) {
throw error(500, "Failed to create message");
}
if (messagesForPrompt.length === 0) {
throw error(500, "Failed to create prompt");
}
// update the conversation with the new messages
await collections.conversations.updateOne(
{
_id: convId,
},
{
$set: {
messages: conv.messages,
title: conv.title,
updatedAt: new Date(),
},
}
);
let doneStreaming = false;
// we now build the stream
const stream = new ReadableStream({
async start(controller) {
messageToWriteTo.updates ??= [];
function update(newUpdate: MessageUpdate) {
if (newUpdate.type !== "stream") {
messageToWriteTo?.updates?.push(newUpdate);
}
if (newUpdate.type === "stream" && newUpdate.token === "") {
return;
}
controller.enqueue(JSON.stringify(newUpdate) + "\n");
if (newUpdate.type === "finalAnswer") {
// 4096 of spaces to make sure the browser doesn't blocking buffer that holding the response
controller.enqueue(" ".repeat(4096));
}
}
update({ type: "status", status: "started" });
const summarizeIfNeeded = (async () => {
if (conv.title === "New Chat" && conv.messages.length === 3) {
try {
conv.title = (await summarize(conv.messages[1].content)) ?? conv.title;
update({ type: "status", status: "title", message: conv.title });
await collections.conversations.updateOne(
{
_id: convId,
},
{
$set: {
title: conv?.title,
updatedAt: new Date(),
},
}
);
} catch (e) {
console.error(e);
}
}
})();
await collections.conversations.updateOne(
{
_id: convId,
},
{
$set: {
title: conv.title,
updatedAt: new Date(),
},
}
);
// perform websearch if needed
if (webSearch && !isContinue && !conv.assistantId) {
messageToWriteTo.webSearch = await runWebSearch(conv, messagesForPrompt, update);
}
// inject websearch result & optionally images into the messages
const processedMessages = await preprocessMessages(
messagesForPrompt,
model.multimodal,
convId
);
const previousText = messageToWriteTo.content;
try {
const endpoint = await model.getEndpoint();
for await (const output of await endpoint({
messages: processedMessages,
preprompt: conv.preprompt,
continueMessage: isContinue,
})) {
// if not generated_text is here it means the generation is not done
if (!output.generated_text) {
// else we get the next token
if (!output.token.special) {
update({
type: "stream",
token: output.token.text,
});
// abort check
const date = abortedGenerations.get(convId.toString());
if (date && date > promptedAt) {
break;
}
// no output check
if (!output) {
break;
}
// otherwise we just concatenate tokens
messageToWriteTo.content += output.token.text;
}
} else {
messageToWriteTo.interrupted = !output.token.special;
// add output.generated text to the last message
// strip end tokens from the output.generated_text
const text = (model.parameters.stop ?? []).reduce((acc: string, curr: string) => {
if (acc.endsWith(curr)) {
messageToWriteTo.interrupted = false;
return acc.slice(0, acc.length - curr.length);
}
return acc;
}, output.generated_text.trimEnd());
messageToWriteTo.content = previousText + text;
messageToWriteTo.updatedAt = new Date();
}
}
} catch (e) {
update({ type: "status", status: "error", message: (e as Error).message });
}
await collections.conversations.updateOne(
{
_id: convId,
},
{
$set: {
messages: conv.messages,
title: conv?.title,
updatedAt: new Date(),
},
}
);
// used to detect if cancel() is called bc of interrupt or just because the connection closes
doneStreaming = true;
update({
type: "finalAnswer",
text: messageToWriteTo.content,
});
await summarizeIfNeeded;
controller.close();
return;
},
async cancel() {
if (!doneStreaming) {
await collections.conversations.updateOne(
{
_id: convId,
},
{
$set: {
messages: conv.messages,
title: conv.title,
updatedAt: new Date(),
},
}
);
}
},
});
// Todo: maybe we should wait for the message to be saved before ending the response - in case of errors
return new Response(stream, {
headers: {
"Content-Type": "text/event-stream",
},
});
}
export async function DELETE({ locals, params }) {
const convId = new ObjectId(params.id);
const conv = await collections.conversations.findOne({
_id: convId,
...authCondition(locals),
});
if (!conv) {
throw error(404, "Conversation not found");
}
await collections.conversations.deleteOne({ _id: conv._id });
return new Response();
}
export async function PATCH({ request, locals, params }) {
const { title } = z
.object({ title: z.string().trim().min(1).max(100) })
.parse(await request.json());
const convId = new ObjectId(params.id);
const conv = await collections.conversations.findOne({
_id: convId,
...authCondition(locals),
});
if (!conv) {
throw error(404, "Conversation not found");
}
await collections.conversations.updateOne(
{
_id: convId,
},
{
$set: {
title,
},
}
);
return new Response();
}
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