Spaces:
Build error
Build error
File size: 6,339 Bytes
9be5ab5 5da61b4 2772555 5da61b4 9be5ab5 06e879d 5da61b4 2772555 5da61b4 0abf663 2772555 5da61b4 3a63ab8 ad02fa3 2772555 ad02fa3 5da61b4 ad02fa3 5da61b4 ad02fa3 06e879d ad02fa3 4a6603b f00349e ad02fa3 7764421 9be5ab5 2772555 7764421 ad02fa3 5da61b4 9be5ab5 ad02fa3 5da61b4 f00349e 5da61b4 2772555 ad02fa3 da1e5da ad02fa3 2772555 f00349e ad02fa3 0abf663 06e879d ad02fa3 5da61b4 ad02fa3 5da61b4 ad02fa3 5da61b4 ad02fa3 1a14c61 5da61b4 1a14c61 5da61b4 1a14c61 252a449 1a14c61 2772555 ad02fa3 2772555 ad02fa3 2772555 ad02fa3 5da61b4 ad02fa3 5da61b4 ad02fa3 5da61b4 ad02fa3 5da61b4 ad02fa3 9726499 ad02fa3 5da61b4 ad02fa3 3a63ab8 640dc14 3a63ab8 640dc14 3a63ab8 640dc14 3a63ab8 |
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 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 |
import { PUBLIC_SEP_TOKEN } from "$env/static/public";
import { buildPrompt } from "$lib/buildPrompt.js";
import { abortedGenerations } from "$lib/server/abortedGenerations.js";
import { collections } from "$lib/server/database.js";
import { modelEndpoint } from "$lib/server/modelEndpoint.js";
import { defaultModel } from "$lib/server/models.js";
import type { Message } from "$lib/types/Message.js";
import { concatUint8Arrays } from "$lib/utils/concatUint8Arrays.js";
import { streamToAsyncIterable } from "$lib/utils/streamToAsyncIterable";
import { trimPrefix } from "$lib/utils/trimPrefix.js";
import { trimSuffix } from "$lib/utils/trimSuffix.js";
import type { TextGenerationStreamOutput } from "@huggingface/inference";
import { error } from "@sveltejs/kit";
import { ObjectId } from "mongodb";
import { z } from "zod";
export async function POST({ request, fetch, locals, params }) {
// todo: add validation on params.id
const convId = new ObjectId(params.id);
const date = new Date();
const conv = await collections.conversations.findOne({
_id: convId,
sessionId: locals.sessionId,
});
if (!conv) {
throw error(404, "Conversation not found");
}
const model = conv.model ?? defaultModel.name;
const json = await request.json();
const {
inputs: newPrompt,
options: { id: messageId, is_retry },
} = z
.object({
inputs: z.string().trim().min(1),
options: z.object({
id: z.optional(z.string().uuid()),
is_retry: z.optional(z.boolean()),
}),
})
.parse(json);
const messages = (() => {
if (is_retry && messageId) {
let retryMessageIdx = conv.messages.findIndex((message) => message.id === messageId);
if (retryMessageIdx === -1) {
retryMessageIdx = conv.messages.length;
}
return [
...conv.messages.slice(0, retryMessageIdx),
{ content: newPrompt, from: "user", id: messageId as Message["id"] },
];
}
return [
...conv.messages,
{ content: newPrompt, from: "user", id: (messageId as Message["id"]) || crypto.randomUUID() },
];
})() satisfies Message[];
// Todo: on-the-fly migration, remove later
for (const message of messages) {
if (!message.id) {
message.id = crypto.randomUUID();
}
}
const prompt = buildPrompt(messages);
const randomEndpoint = modelEndpoint(model);
const abortController = new AbortController();
const resp = await fetch(randomEndpoint.url, {
headers: {
"Content-Type": request.headers.get("Content-Type") ?? "application/json",
Authorization: randomEndpoint.authorization,
},
method: "POST",
body: JSON.stringify({
...json,
inputs: prompt,
}),
signal: abortController.signal,
});
if (!resp.body) {
throw new Error("Response body is empty");
}
const [stream1, stream2] = resp.body.tee();
async function saveMessage() {
let generated_text = await parseGeneratedText(stream2, convId, date, abortController);
// We could also check if PUBLIC_ASSISTANT_MESSAGE_TOKEN is present and use it to slice the text
if (generated_text.startsWith(prompt)) {
generated_text = generated_text.slice(prompt.length);
}
generated_text = trimSuffix(trimPrefix(generated_text, "<|startoftext|>"), PUBLIC_SEP_TOKEN);
messages.push({ from: "assistant", content: generated_text, id: crypto.randomUUID() });
await collections.conversations.updateOne(
{
_id: convId,
},
{
$set: {
messages,
updatedAt: new Date(),
},
}
);
}
saveMessage().catch(console.error);
// Todo: maybe we should wait for the message to be saved before ending the response - in case of errors
return new Response(stream1, {
headers: Object.fromEntries(resp.headers.entries()),
status: resp.status,
statusText: resp.statusText,
});
}
export async function DELETE({ locals, params }) {
const convId = new ObjectId(params.id);
const conv = await collections.conversations.findOne({
_id: convId,
sessionId: locals.sessionId,
});
if (!conv) {
throw error(404, "Conversation not found");
}
await collections.conversations.deleteOne({ _id: conv._id });
return new Response();
}
async function parseGeneratedText(
stream: ReadableStream,
conversationId: ObjectId,
promptedAt: Date,
abortController: AbortController
): Promise<string> {
const inputs: Uint8Array[] = [];
for await (const input of streamToAsyncIterable(stream)) {
inputs.push(input);
const date = abortedGenerations.get(conversationId.toString());
if (date && date > promptedAt) {
abortController.abort("Cancelled by user");
const completeInput = concatUint8Arrays(inputs);
const lines = new TextDecoder()
.decode(completeInput)
.split("\n")
.filter((line) => line.startsWith("data:"));
const tokens = lines.map((line) => {
try {
const json: TextGenerationStreamOutput = JSON.parse(line.slice("data:".length));
return json.token.text;
} catch {
return "";
}
});
return tokens.join("");
}
}
// Merge inputs into a single Uint8Array
const completeInput = concatUint8Arrays(inputs);
// Get last line starting with "data:" and parse it as JSON to get the generated text
const message = new TextDecoder().decode(completeInput);
let lastIndex = message.lastIndexOf("\ndata:");
if (lastIndex === -1) {
lastIndex = message.indexOf("data");
}
if (lastIndex === -1) {
console.error("Could not parse in last message");
}
let lastMessage = message.slice(lastIndex).trim().slice("data:".length);
if (lastMessage.includes("\n")) {
lastMessage = lastMessage.slice(0, lastMessage.indexOf("\n"));
}
const lastMessageJSON = JSON.parse(lastMessage);
if (lastMessageJSON.error) {
throw new Error(lastMessageJSON.error);
}
const res = lastMessageJSON.generated_text;
if (typeof res !== "string") {
throw new Error("Could not parse generated text");
}
return res;
}
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,
sessionId: locals.sessionId,
});
if (!conv) {
throw error(404, "Conversation not found");
}
await collections.conversations.updateOne(
{
_id: convId,
},
{
$set: {
title,
},
}
);
return new Response();
}
|