mirror of
https://github.com/SillyTavern/SillyTavern.git
synced 2025-03-14 02:50:12 +01:00
Merge branch 'staging' of https://github.com/DonMoralez/SillyTavern into staging
This commit is contained in:
commit
6f16ccf01f
@ -891,7 +891,7 @@ async function getStatusKobold() {
|
||||
}
|
||||
|
||||
try {
|
||||
const response = await fetch('/getstatus', {
|
||||
const response = await fetch('/api/backends/kobold/status', {
|
||||
method: 'POST',
|
||||
headers: getRequestHeaders(),
|
||||
body: JSON.stringify({
|
||||
@ -928,7 +928,7 @@ async function getStatusKobold() {
|
||||
}
|
||||
|
||||
async function getStatusTextgen() {
|
||||
const url = '/api/textgenerationwebui/status';
|
||||
const url = '/api/backends/text-completions/status';
|
||||
|
||||
let endpoint = textgen_settings.type === MANCER ?
|
||||
MANCER_SERVER :
|
||||
@ -4432,9 +4432,9 @@ function setInContextMessages(lastmsg, type) {
|
||||
function getGenerateUrl(api) {
|
||||
let generate_url = '';
|
||||
if (api == 'kobold') {
|
||||
generate_url = '/generate';
|
||||
generate_url = '/api/backends/kobold/generate';
|
||||
} else if (api == 'textgenerationwebui') {
|
||||
generate_url = '/api/textgenerationwebui/generate';
|
||||
generate_url = '/api/backends/text-completions/generate';
|
||||
} else if (api == 'novel') {
|
||||
generate_url = '/api/novelai/generate';
|
||||
}
|
||||
|
@ -129,13 +129,6 @@ export function getKoboldGenerationData(finalPrompt, settings, maxLength, maxCon
|
||||
top_p: kai_settings.top_p,
|
||||
min_p: (kai_flags.can_use_min_p || isHorde) ? kai_settings.min_p : undefined,
|
||||
typical: kai_settings.typical,
|
||||
s1: sampler_order[0],
|
||||
s2: sampler_order[1],
|
||||
s3: sampler_order[2],
|
||||
s4: sampler_order[3],
|
||||
s5: sampler_order[4],
|
||||
s6: sampler_order[5],
|
||||
s7: sampler_order[6],
|
||||
use_world_info: false,
|
||||
singleline: false,
|
||||
stop_sequence: (kai_flags.can_use_stop_sequence || isHorde) ? getStoppingStrings(isImpersonate, isContinue) : undefined,
|
||||
@ -173,7 +166,7 @@ function tryParseStreamingError(response, decoded) {
|
||||
}
|
||||
|
||||
export async function generateKoboldWithStreaming(generate_data, signal) {
|
||||
const response = await fetch('/generate', {
|
||||
const response = await fetch('/api/backends/kobold/generate', {
|
||||
headers: getRequestHeaders(),
|
||||
body: JSON.stringify(generate_data),
|
||||
method: 'POST',
|
||||
|
@ -1386,7 +1386,7 @@ function openRouterGroupByVendor(array) {
|
||||
}
|
||||
|
||||
async function sendAltScaleRequest(messages, logit_bias, signal, type) {
|
||||
const generate_url = '/generate_altscale';
|
||||
const generate_url = '/api/backends/scale-alt/generate';
|
||||
|
||||
let firstSysMsgs = [];
|
||||
for (let msg of messages) {
|
||||
@ -1562,7 +1562,7 @@ async function sendOpenAIRequest(type, messages, signal) {
|
||||
generate_data['seed'] = oai_settings.seed;
|
||||
}
|
||||
|
||||
const generate_url = '/generate_openai';
|
||||
const generate_url = '/api/backends/chat-completions/generate';
|
||||
const response = await fetch(generate_url, {
|
||||
method: 'POST',
|
||||
body: JSON.stringify(generate_data),
|
||||
@ -1652,7 +1652,7 @@ async function calculateLogitBias() {
|
||||
let result = {};
|
||||
|
||||
try {
|
||||
const reply = await fetch(`/openai_bias?model=${getTokenizerModel()}`, {
|
||||
const reply = await fetch(`/api/backends/chat-completions/bias?model=${getTokenizerModel()}`, {
|
||||
method: 'POST',
|
||||
headers: getRequestHeaders(),
|
||||
body,
|
||||
@ -2449,7 +2449,7 @@ async function getStatusOpen() {
|
||||
}
|
||||
|
||||
try {
|
||||
const response = await fetch('/getstatus_openai', {
|
||||
const response = await fetch('/api/backends/chat-completions/status', {
|
||||
method: 'POST',
|
||||
headers: getRequestHeaders(),
|
||||
body: JSON.stringify(data),
|
||||
|
@ -468,7 +468,7 @@ function setSettingByName(setting, value, trigger) {
|
||||
async function generateTextGenWithStreaming(generate_data, signal) {
|
||||
generate_data.stream = true;
|
||||
|
||||
const response = await fetch('/api/textgenerationwebui/generate', {
|
||||
const response = await fetch('/api/backends/text-completions/generate', {
|
||||
headers: {
|
||||
...getRequestHeaders(),
|
||||
},
|
||||
|
@ -63,6 +63,7 @@ const TOKENIZER_URLS = {
|
||||
},
|
||||
[tokenizers.API_KOBOLD]: {
|
||||
count: '/api/tokenizers/remote/kobold/count',
|
||||
encode: '/api/tokenizers/remote/kobold/count',
|
||||
},
|
||||
[tokenizers.MISTRAL]: {
|
||||
encode: '/api/tokenizers/mistral/encode',
|
||||
@ -617,6 +618,32 @@ function getTextTokensFromTextgenAPI(str) {
|
||||
return ids;
|
||||
}
|
||||
|
||||
/**
|
||||
* Calls the AI provider's tokenize API to encode a string to tokens.
|
||||
* @param {string} str String to tokenize.
|
||||
* @returns {number[]} Array of token ids.
|
||||
*/
|
||||
function getTextTokensFromKoboldAPI(str) {
|
||||
let ids = [];
|
||||
|
||||
jQuery.ajax({
|
||||
async: false,
|
||||
type: 'POST',
|
||||
url: TOKENIZER_URLS[tokenizers.API_KOBOLD].encode,
|
||||
data: JSON.stringify({
|
||||
text: str,
|
||||
url: api_server,
|
||||
}),
|
||||
dataType: 'json',
|
||||
contentType: 'application/json',
|
||||
success: function (data) {
|
||||
ids = data.ids;
|
||||
},
|
||||
});
|
||||
|
||||
return ids;
|
||||
}
|
||||
|
||||
/**
|
||||
* Calls the underlying tokenizer model to decode token ids to text.
|
||||
* @param {string} endpoint API endpoint.
|
||||
@ -650,6 +677,8 @@ export function getTextTokens(tokenizerType, str) {
|
||||
return getTextTokens(currentRemoteTokenizerAPI(), str);
|
||||
case tokenizers.API_TEXTGENERATIONWEBUI:
|
||||
return getTextTokensFromTextgenAPI(str);
|
||||
case tokenizers.API_KOBOLD:
|
||||
return getTextTokensFromKoboldAPI(str);
|
||||
default: {
|
||||
const tokenizerEndpoints = TOKENIZER_URLS[tokenizerType];
|
||||
if (!tokenizerEndpoints) {
|
||||
|
@ -3665,12 +3665,13 @@ a {
|
||||
}
|
||||
|
||||
.icon-svg {
|
||||
fill: currentColor;
|
||||
/* Takes on the color of the surrounding text */
|
||||
fill: currentColor;
|
||||
width: auto;
|
||||
height: 14px;
|
||||
vertical-align: middle;
|
||||
aspect-ratio: 1;
|
||||
/* To align with adjacent text */
|
||||
place-self: center;
|
||||
}
|
||||
|
||||
.paginationjs {
|
||||
|
619
src/endpoints/backends/chat-completions.js
Normal file
619
src/endpoints/backends/chat-completions.js
Normal file
@ -0,0 +1,619 @@
|
||||
const express = require('express');
|
||||
const fetch = require('node-fetch').default;
|
||||
|
||||
const { jsonParser } = require('../../express-common');
|
||||
const { CHAT_COMPLETION_SOURCES, PALM_SAFETY } = require('../../constants');
|
||||
const { forwardFetchResponse, getConfigValue, tryParse, uuidv4 } = require('../../util');
|
||||
const { convertClaudePrompt, convertTextCompletionPrompt } = require('../prompt-converters');
|
||||
|
||||
const { readSecret, SECRET_KEYS } = require('../secrets');
|
||||
const { getTokenizerModel, getSentencepiceTokenizer, getTiktokenTokenizer, sentencepieceTokenizers, TEXT_COMPLETION_MODELS } = require('../tokenizers');
|
||||
|
||||
const API_OPENAI = 'https://api.openai.com/v1';
|
||||
const API_CLAUDE = 'https://api.anthropic.com/v1';
|
||||
|
||||
/**
|
||||
* Sends a request to Claude API.
|
||||
* @param {express.Request} request Express request
|
||||
* @param {express.Response} response Express response
|
||||
*/
|
||||
async function sendClaudeRequest(request, response) {
|
||||
const apiUrl = new URL(request.body.reverse_proxy || API_CLAUDE).toString();
|
||||
const apiKey = request.body.reverse_proxy ? request.body.proxy_password : readSecret(SECRET_KEYS.CLAUDE);
|
||||
|
||||
if (!apiKey) {
|
||||
console.log('Claude API key is missing.');
|
||||
return response.status(400).send({ error: true });
|
||||
}
|
||||
|
||||
try {
|
||||
const controller = new AbortController();
|
||||
request.socket.removeAllListeners('close');
|
||||
request.socket.on('close', function () {
|
||||
controller.abort();
|
||||
});
|
||||
|
||||
let doSystemPrompt = request.body.model === 'claude-2' || request.body.model === 'claude-2.1';
|
||||
let requestPrompt = convertClaudePrompt(request.body.messages, true, !request.body.exclude_assistant, doSystemPrompt);
|
||||
|
||||
if (request.body.assistant_prefill && !request.body.exclude_assistant) {
|
||||
requestPrompt += request.body.assistant_prefill;
|
||||
}
|
||||
|
||||
console.log('Claude request:', requestPrompt);
|
||||
const stop_sequences = ['\n\nHuman:', '\n\nSystem:', '\n\nAssistant:'];
|
||||
|
||||
// Add custom stop sequences
|
||||
if (Array.isArray(request.body.stop)) {
|
||||
stop_sequences.push(...request.body.stop);
|
||||
}
|
||||
|
||||
const generateResponse = await fetch(apiUrl + '/complete', {
|
||||
method: 'POST',
|
||||
signal: controller.signal,
|
||||
body: JSON.stringify({
|
||||
prompt: requestPrompt,
|
||||
model: request.body.model,
|
||||
max_tokens_to_sample: request.body.max_tokens,
|
||||
stop_sequences: stop_sequences,
|
||||
temperature: request.body.temperature,
|
||||
top_p: request.body.top_p,
|
||||
top_k: request.body.top_k,
|
||||
stream: request.body.stream,
|
||||
}),
|
||||
headers: {
|
||||
'Content-Type': 'application/json',
|
||||
'anthropic-version': '2023-06-01',
|
||||
'x-api-key': apiKey,
|
||||
},
|
||||
timeout: 0,
|
||||
});
|
||||
|
||||
if (request.body.stream) {
|
||||
// Pipe remote SSE stream to Express response
|
||||
forwardFetchResponse(generateResponse, response);
|
||||
} else {
|
||||
if (!generateResponse.ok) {
|
||||
console.log(`Claude API returned error: ${generateResponse.status} ${generateResponse.statusText} ${await generateResponse.text()}`);
|
||||
return response.status(generateResponse.status).send({ error: true });
|
||||
}
|
||||
|
||||
const generateResponseJson = await generateResponse.json();
|
||||
const responseText = generateResponseJson.completion;
|
||||
console.log('Claude response:', responseText);
|
||||
|
||||
// Wrap it back to OAI format
|
||||
const reply = { choices: [{ 'message': { 'content': responseText } }] };
|
||||
return response.send(reply);
|
||||
}
|
||||
} catch (error) {
|
||||
console.log('Error communicating with Claude: ', error);
|
||||
if (!response.headersSent) {
|
||||
return response.status(500).send({ error: true });
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* Sends a request to Scale Spellbook API.
|
||||
* @param {import("express").Request} request Express request
|
||||
* @param {import("express").Response} response Express response
|
||||
*/
|
||||
async function sendScaleRequest(request, response) {
|
||||
const apiUrl = new URL(request.body.api_url_scale).toString();
|
||||
const apiKey = readSecret(SECRET_KEYS.SCALE);
|
||||
|
||||
if (!apiKey) {
|
||||
console.log('Scale API key is missing.');
|
||||
return response.status(400).send({ error: true });
|
||||
}
|
||||
|
||||
const requestPrompt = convertTextCompletionPrompt(request.body.messages);
|
||||
console.log('Scale request:', requestPrompt);
|
||||
|
||||
try {
|
||||
const controller = new AbortController();
|
||||
request.socket.removeAllListeners('close');
|
||||
request.socket.on('close', function () {
|
||||
controller.abort();
|
||||
});
|
||||
|
||||
const generateResponse = await fetch(apiUrl, {
|
||||
method: 'POST',
|
||||
body: JSON.stringify({ input: { input: requestPrompt } }),
|
||||
headers: {
|
||||
'Content-Type': 'application/json',
|
||||
'Authorization': `Basic ${apiKey}`,
|
||||
},
|
||||
timeout: 0,
|
||||
});
|
||||
|
||||
if (!generateResponse.ok) {
|
||||
console.log(`Scale API returned error: ${generateResponse.status} ${generateResponse.statusText} ${await generateResponse.text()}`);
|
||||
return response.status(generateResponse.status).send({ error: true });
|
||||
}
|
||||
|
||||
const generateResponseJson = await generateResponse.json();
|
||||
console.log('Scale response:', generateResponseJson);
|
||||
|
||||
const reply = { choices: [{ 'message': { 'content': generateResponseJson.output } }] };
|
||||
return response.send(reply);
|
||||
} catch (error) {
|
||||
console.log(error);
|
||||
if (!response.headersSent) {
|
||||
return response.status(500).send({ error: true });
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* Sends a request to Google AI API.
|
||||
* @param {express.Request} request Express request
|
||||
* @param {express.Response} response Express response
|
||||
*/
|
||||
async function sendPalmRequest(request, response) {
|
||||
const api_key_palm = readSecret(SECRET_KEYS.PALM);
|
||||
|
||||
if (!api_key_palm) {
|
||||
console.log('Palm API key is missing.');
|
||||
return response.status(400).send({ error: true });
|
||||
}
|
||||
|
||||
const body = {
|
||||
prompt: {
|
||||
text: request.body.messages,
|
||||
},
|
||||
stopSequences: request.body.stop,
|
||||
safetySettings: PALM_SAFETY,
|
||||
temperature: request.body.temperature,
|
||||
topP: request.body.top_p,
|
||||
topK: request.body.top_k || undefined,
|
||||
maxOutputTokens: request.body.max_tokens,
|
||||
candidate_count: 1,
|
||||
};
|
||||
|
||||
console.log('Palm request:', body);
|
||||
|
||||
try {
|
||||
const controller = new AbortController();
|
||||
request.socket.removeAllListeners('close');
|
||||
request.socket.on('close', function () {
|
||||
controller.abort();
|
||||
});
|
||||
|
||||
const generateResponse = await fetch(`https://generativelanguage.googleapis.com/v1beta2/models/text-bison-001:generateText?key=${api_key_palm}`, {
|
||||
body: JSON.stringify(body),
|
||||
method: 'POST',
|
||||
headers: {
|
||||
'Content-Type': 'application/json',
|
||||
},
|
||||
signal: controller.signal,
|
||||
timeout: 0,
|
||||
});
|
||||
|
||||
if (!generateResponse.ok) {
|
||||
console.log(`Palm API returned error: ${generateResponse.status} ${generateResponse.statusText} ${await generateResponse.text()}`);
|
||||
return response.status(generateResponse.status).send({ error: true });
|
||||
}
|
||||
|
||||
const generateResponseJson = await generateResponse.json();
|
||||
const responseText = generateResponseJson?.candidates?.[0]?.output;
|
||||
|
||||
if (!responseText) {
|
||||
console.log('Palm API returned no response', generateResponseJson);
|
||||
let message = `Palm API returned no response: ${JSON.stringify(generateResponseJson)}`;
|
||||
|
||||
// Check for filters
|
||||
if (generateResponseJson?.filters?.[0]?.reason) {
|
||||
message = `Palm filter triggered: ${generateResponseJson.filters[0].reason}`;
|
||||
}
|
||||
|
||||
return response.send({ error: { message } });
|
||||
}
|
||||
|
||||
console.log('Palm response:', responseText);
|
||||
|
||||
// Wrap it back to OAI format
|
||||
const reply = { choices: [{ 'message': { 'content': responseText } }] };
|
||||
return response.send(reply);
|
||||
} catch (error) {
|
||||
console.log('Error communicating with Palm API: ', error);
|
||||
if (!response.headersSent) {
|
||||
return response.status(500).send({ error: true });
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* Sends a request to Google AI API.
|
||||
* @param {express.Request} request Express request
|
||||
* @param {express.Response} response Express response
|
||||
*/
|
||||
async function sendAI21Request(request, response) {
|
||||
if (!request.body) return response.sendStatus(400);
|
||||
const controller = new AbortController();
|
||||
console.log(request.body.messages);
|
||||
request.socket.removeAllListeners('close');
|
||||
request.socket.on('close', function () {
|
||||
controller.abort();
|
||||
});
|
||||
const options = {
|
||||
method: 'POST',
|
||||
headers: {
|
||||
accept: 'application/json',
|
||||
'content-type': 'application/json',
|
||||
Authorization: `Bearer ${readSecret(SECRET_KEYS.AI21)}`,
|
||||
},
|
||||
body: JSON.stringify({
|
||||
numResults: 1,
|
||||
maxTokens: request.body.max_tokens,
|
||||
minTokens: 0,
|
||||
temperature: request.body.temperature,
|
||||
topP: request.body.top_p,
|
||||
stopSequences: request.body.stop_tokens,
|
||||
topKReturn: request.body.top_k,
|
||||
frequencyPenalty: {
|
||||
scale: request.body.frequency_penalty * 100,
|
||||
applyToWhitespaces: false,
|
||||
applyToPunctuations: false,
|
||||
applyToNumbers: false,
|
||||
applyToStopwords: false,
|
||||
applyToEmojis: false,
|
||||
},
|
||||
presencePenalty: {
|
||||
scale: request.body.presence_penalty,
|
||||
applyToWhitespaces: false,
|
||||
applyToPunctuations: false,
|
||||
applyToNumbers: false,
|
||||
applyToStopwords: false,
|
||||
applyToEmojis: false,
|
||||
},
|
||||
countPenalty: {
|
||||
scale: request.body.count_pen,
|
||||
applyToWhitespaces: false,
|
||||
applyToPunctuations: false,
|
||||
applyToNumbers: false,
|
||||
applyToStopwords: false,
|
||||
applyToEmojis: false,
|
||||
},
|
||||
prompt: request.body.messages,
|
||||
}),
|
||||
signal: controller.signal,
|
||||
};
|
||||
|
||||
fetch(`https://api.ai21.com/studio/v1/${request.body.model}/complete`, options)
|
||||
.then(r => r.json())
|
||||
.then(r => {
|
||||
if (r.completions === undefined) {
|
||||
console.log(r);
|
||||
} else {
|
||||
console.log(r.completions[0].data.text);
|
||||
}
|
||||
const reply = { choices: [{ 'message': { 'content': r.completions[0].data.text } }] };
|
||||
return response.send(reply);
|
||||
})
|
||||
.catch(err => {
|
||||
console.error(err);
|
||||
return response.send({ error: true });
|
||||
});
|
||||
|
||||
}
|
||||
|
||||
const router = express.Router();
|
||||
|
||||
router.post('/status', jsonParser, async function (request, response_getstatus_openai) {
|
||||
if (!request.body) return response_getstatus_openai.sendStatus(400);
|
||||
|
||||
let api_url;
|
||||
let api_key_openai;
|
||||
let headers;
|
||||
|
||||
if (request.body.chat_completion_source !== CHAT_COMPLETION_SOURCES.OPENROUTER) {
|
||||
api_url = new URL(request.body.reverse_proxy || API_OPENAI).toString();
|
||||
api_key_openai = request.body.reverse_proxy ? request.body.proxy_password : readSecret(SECRET_KEYS.OPENAI);
|
||||
headers = {};
|
||||
} else {
|
||||
api_url = 'https://openrouter.ai/api/v1';
|
||||
api_key_openai = readSecret(SECRET_KEYS.OPENROUTER);
|
||||
// OpenRouter needs to pass the referer: https://openrouter.ai/docs
|
||||
headers = { 'HTTP-Referer': request.headers.referer };
|
||||
}
|
||||
|
||||
if (!api_key_openai && !request.body.reverse_proxy) {
|
||||
console.log('OpenAI API key is missing.');
|
||||
return response_getstatus_openai.status(400).send({ error: true });
|
||||
}
|
||||
|
||||
try {
|
||||
const response = await fetch(api_url + '/models', {
|
||||
method: 'GET',
|
||||
headers: {
|
||||
'Authorization': 'Bearer ' + api_key_openai,
|
||||
...headers,
|
||||
},
|
||||
});
|
||||
|
||||
if (response.ok) {
|
||||
const data = await response.json();
|
||||
response_getstatus_openai.send(data);
|
||||
|
||||
if (request.body.chat_completion_source === CHAT_COMPLETION_SOURCES.OPENROUTER && Array.isArray(data?.data)) {
|
||||
let models = [];
|
||||
|
||||
data.data.forEach(model => {
|
||||
const context_length = model.context_length;
|
||||
const tokens_dollar = Number(1 / (1000 * model.pricing?.prompt));
|
||||
const tokens_rounded = (Math.round(tokens_dollar * 1000) / 1000).toFixed(0);
|
||||
models[model.id] = {
|
||||
tokens_per_dollar: tokens_rounded + 'k',
|
||||
context_length: context_length,
|
||||
};
|
||||
});
|
||||
|
||||
console.log('Available OpenRouter models:', models);
|
||||
} else {
|
||||
const models = data?.data;
|
||||
|
||||
if (Array.isArray(models)) {
|
||||
const modelIds = models.filter(x => x && typeof x === 'object').map(x => x.id).sort();
|
||||
console.log('Available OpenAI models:', modelIds);
|
||||
} else {
|
||||
console.log('OpenAI endpoint did not return a list of models.');
|
||||
}
|
||||
}
|
||||
}
|
||||
else {
|
||||
console.log('OpenAI status check failed. Either Access Token is incorrect or API endpoint is down.');
|
||||
response_getstatus_openai.send({ error: true, can_bypass: true, data: { data: [] } });
|
||||
}
|
||||
} catch (e) {
|
||||
console.error(e);
|
||||
|
||||
if (!response_getstatus_openai.headersSent) {
|
||||
response_getstatus_openai.send({ error: true });
|
||||
} else {
|
||||
response_getstatus_openai.end();
|
||||
}
|
||||
}
|
||||
});
|
||||
|
||||
router.post('/bias', jsonParser, async function (request, response) {
|
||||
if (!request.body || !Array.isArray(request.body))
|
||||
return response.sendStatus(400);
|
||||
|
||||
try {
|
||||
const result = {};
|
||||
const model = getTokenizerModel(String(request.query.model || ''));
|
||||
|
||||
// no bias for claude
|
||||
if (model == 'claude') {
|
||||
return response.send(result);
|
||||
}
|
||||
|
||||
let encodeFunction;
|
||||
|
||||
if (sentencepieceTokenizers.includes(model)) {
|
||||
const tokenizer = getSentencepiceTokenizer(model);
|
||||
const instance = await tokenizer?.get();
|
||||
encodeFunction = (text) => new Uint32Array(instance?.encodeIds(text));
|
||||
} else {
|
||||
const tokenizer = getTiktokenTokenizer(model);
|
||||
encodeFunction = (tokenizer.encode.bind(tokenizer));
|
||||
}
|
||||
|
||||
for (const entry of request.body) {
|
||||
if (!entry || !entry.text) {
|
||||
continue;
|
||||
}
|
||||
|
||||
try {
|
||||
const tokens = getEntryTokens(entry.text, encodeFunction);
|
||||
|
||||
for (const token of tokens) {
|
||||
result[token] = entry.value;
|
||||
}
|
||||
} catch {
|
||||
console.warn('Tokenizer failed to encode:', entry.text);
|
||||
}
|
||||
}
|
||||
|
||||
// not needed for cached tokenizers
|
||||
//tokenizer.free();
|
||||
return response.send(result);
|
||||
|
||||
/**
|
||||
* Gets tokenids for a given entry
|
||||
* @param {string} text Entry text
|
||||
* @param {(string) => Uint32Array} encode Function to encode text to token ids
|
||||
* @returns {Uint32Array} Array of token ids
|
||||
*/
|
||||
function getEntryTokens(text, encode) {
|
||||
// Get raw token ids from JSON array
|
||||
if (text.trim().startsWith('[') && text.trim().endsWith(']')) {
|
||||
try {
|
||||
const json = JSON.parse(text);
|
||||
if (Array.isArray(json) && json.every(x => typeof x === 'number')) {
|
||||
return new Uint32Array(json);
|
||||
}
|
||||
} catch {
|
||||
// ignore
|
||||
}
|
||||
}
|
||||
|
||||
// Otherwise, get token ids from tokenizer
|
||||
return encode(text);
|
||||
}
|
||||
} catch (error) {
|
||||
console.error(error);
|
||||
return response.send({});
|
||||
}
|
||||
});
|
||||
|
||||
|
||||
router.post('/generate', jsonParser, function (request, response) {
|
||||
if (!request.body) return response.status(400).send({ error: true });
|
||||
|
||||
switch (request.body.chat_completion_source) {
|
||||
case CHAT_COMPLETION_SOURCES.CLAUDE: return sendClaudeRequest(request, response);
|
||||
case CHAT_COMPLETION_SOURCES.SCALE: return sendScaleRequest(request, response);
|
||||
case CHAT_COMPLETION_SOURCES.AI21: return sendAI21Request(request, response);
|
||||
case CHAT_COMPLETION_SOURCES.PALM: return sendPalmRequest(request, response);
|
||||
}
|
||||
|
||||
let apiUrl;
|
||||
let apiKey;
|
||||
let headers;
|
||||
let bodyParams;
|
||||
|
||||
if (request.body.chat_completion_source !== CHAT_COMPLETION_SOURCES.OPENROUTER) {
|
||||
apiUrl = new URL(request.body.reverse_proxy || API_OPENAI).toString();
|
||||
apiKey = request.body.reverse_proxy ? request.body.proxy_password : readSecret(SECRET_KEYS.OPENAI);
|
||||
headers = {};
|
||||
bodyParams = {};
|
||||
|
||||
if (getConfigValue('openai.randomizeUserId', false)) {
|
||||
bodyParams['user'] = uuidv4();
|
||||
}
|
||||
} else {
|
||||
apiUrl = 'https://openrouter.ai/api/v1';
|
||||
apiKey = readSecret(SECRET_KEYS.OPENROUTER);
|
||||
// OpenRouter needs to pass the referer: https://openrouter.ai/docs
|
||||
headers = { 'HTTP-Referer': request.headers.referer };
|
||||
bodyParams = { 'transforms': ['middle-out'] };
|
||||
|
||||
if (request.body.use_fallback) {
|
||||
bodyParams['route'] = 'fallback';
|
||||
}
|
||||
}
|
||||
|
||||
if (!apiKey && !request.body.reverse_proxy) {
|
||||
console.log('OpenAI API key is missing.');
|
||||
return response.status(400).send({ error: true });
|
||||
}
|
||||
|
||||
// Add custom stop sequences
|
||||
if (Array.isArray(request.body.stop) && request.body.stop.length > 0) {
|
||||
bodyParams['stop'] = request.body.stop;
|
||||
}
|
||||
|
||||
const isTextCompletion = Boolean(request.body.model && TEXT_COMPLETION_MODELS.includes(request.body.model)) || typeof request.body.messages === 'string';
|
||||
const textPrompt = isTextCompletion ? convertTextCompletionPrompt(request.body.messages) : '';
|
||||
const endpointUrl = isTextCompletion && request.body.chat_completion_source !== CHAT_COMPLETION_SOURCES.OPENROUTER ?
|
||||
`${apiUrl}/completions` :
|
||||
`${apiUrl}/chat/completions`;
|
||||
|
||||
const controller = new AbortController();
|
||||
request.socket.removeAllListeners('close');
|
||||
request.socket.on('close', function () {
|
||||
controller.abort();
|
||||
});
|
||||
|
||||
/** @type {import('node-fetch').RequestInit} */
|
||||
const config = {
|
||||
method: 'post',
|
||||
headers: {
|
||||
'Content-Type': 'application/json',
|
||||
'Authorization': 'Bearer ' + apiKey,
|
||||
...headers,
|
||||
},
|
||||
body: JSON.stringify({
|
||||
'messages': isTextCompletion === false ? request.body.messages : undefined,
|
||||
'prompt': isTextCompletion === true ? textPrompt : undefined,
|
||||
'model': request.body.model,
|
||||
'temperature': request.body.temperature,
|
||||
'max_tokens': request.body.max_tokens,
|
||||
'stream': request.body.stream,
|
||||
'presence_penalty': request.body.presence_penalty,
|
||||
'frequency_penalty': request.body.frequency_penalty,
|
||||
'top_p': request.body.top_p,
|
||||
'top_k': request.body.top_k,
|
||||
'stop': isTextCompletion === false ? request.body.stop : undefined,
|
||||
'logit_bias': request.body.logit_bias,
|
||||
'seed': request.body.seed,
|
||||
...bodyParams,
|
||||
}),
|
||||
signal: controller.signal,
|
||||
timeout: 0,
|
||||
};
|
||||
|
||||
console.log(JSON.parse(String(config.body)));
|
||||
|
||||
makeRequest(config, response, request);
|
||||
|
||||
/**
|
||||
* Makes a fetch request to the OpenAI API endpoint.
|
||||
* @param {import('node-fetch').RequestInit} config Fetch config
|
||||
* @param {express.Response} response Express response
|
||||
* @param {express.Request} request Express request
|
||||
* @param {Number} retries Number of retries left
|
||||
* @param {Number} timeout Request timeout in ms
|
||||
*/
|
||||
async function makeRequest(config, response, request, retries = 5, timeout = 5000) {
|
||||
try {
|
||||
const fetchResponse = await fetch(endpointUrl, config);
|
||||
|
||||
if (request.body.stream) {
|
||||
console.log('Streaming request in progress');
|
||||
forwardFetchResponse(fetchResponse, response);
|
||||
return;
|
||||
}
|
||||
|
||||
if (fetchResponse.ok) {
|
||||
let json = await fetchResponse.json();
|
||||
response.send(json);
|
||||
console.log(json);
|
||||
console.log(json?.choices[0]?.message);
|
||||
} else if (fetchResponse.status === 429 && retries > 0) {
|
||||
console.log(`Out of quota, retrying in ${Math.round(timeout / 1000)}s`);
|
||||
setTimeout(() => {
|
||||
timeout *= 2;
|
||||
makeRequest(config, response, request, retries - 1, timeout);
|
||||
}, timeout);
|
||||
} else {
|
||||
await handleErrorResponse(fetchResponse);
|
||||
}
|
||||
} catch (error) {
|
||||
console.log('Generation failed', error);
|
||||
if (!response.headersSent) {
|
||||
response.send({ error: true });
|
||||
} else {
|
||||
response.end();
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* @param {import("node-fetch").Response} errorResponse
|
||||
*/
|
||||
async function handleErrorResponse(errorResponse) {
|
||||
const responseText = await errorResponse.text();
|
||||
const errorData = tryParse(responseText);
|
||||
|
||||
const statusMessages = {
|
||||
400: 'Bad request',
|
||||
401: 'Unauthorized',
|
||||
402: 'Credit limit reached',
|
||||
403: 'Forbidden',
|
||||
404: 'Not found',
|
||||
429: 'Too many requests',
|
||||
451: 'Unavailable for legal reasons',
|
||||
502: 'Bad gateway',
|
||||
};
|
||||
|
||||
const message = errorData?.error?.message || statusMessages[errorResponse.status] || 'Unknown error occurred';
|
||||
const quota_error = errorResponse.status === 429 && errorData?.error?.type === 'insufficient_quota';
|
||||
console.log(message);
|
||||
|
||||
if (!response.headersSent) {
|
||||
response.send({ error: { message }, quota_error: quota_error });
|
||||
} else if (!response.writableEnded) {
|
||||
response.write(errorResponse);
|
||||
} else {
|
||||
response.end();
|
||||
}
|
||||
}
|
||||
});
|
||||
|
||||
module.exports = {
|
||||
router,
|
||||
};
|
188
src/endpoints/backends/kobold.js
Normal file
188
src/endpoints/backends/kobold.js
Normal file
@ -0,0 +1,188 @@
|
||||
const express = require('express');
|
||||
const fetch = require('node-fetch').default;
|
||||
|
||||
const { jsonParser } = require('../../express-common');
|
||||
const { forwardFetchResponse, delay } = require('../../util');
|
||||
const { getOverrideHeaders, setAdditionalHeaders } = require('../../additional-headers');
|
||||
|
||||
const router = express.Router();
|
||||
|
||||
router.post('/generate', jsonParser, async function (request, response_generate) {
|
||||
if (!request.body) return response_generate.sendStatus(400);
|
||||
|
||||
if (request.body.api_server.indexOf('localhost') != -1) {
|
||||
request.body.api_server = request.body.api_server.replace('localhost', '127.0.0.1');
|
||||
}
|
||||
|
||||
const request_prompt = request.body.prompt;
|
||||
const controller = new AbortController();
|
||||
request.socket.removeAllListeners('close');
|
||||
request.socket.on('close', async function () {
|
||||
if (request.body.can_abort && !response_generate.writableEnded) {
|
||||
try {
|
||||
console.log('Aborting Kobold generation...');
|
||||
// send abort signal to koboldcpp
|
||||
const abortResponse = await fetch(`${request.body.api_server}/extra/abort`, {
|
||||
method: 'POST',
|
||||
});
|
||||
|
||||
if (!abortResponse.ok) {
|
||||
console.log('Error sending abort request to Kobold:', abortResponse.status);
|
||||
}
|
||||
} catch (error) {
|
||||
console.log(error);
|
||||
}
|
||||
}
|
||||
controller.abort();
|
||||
});
|
||||
|
||||
let this_settings = {
|
||||
prompt: request_prompt,
|
||||
use_story: false,
|
||||
use_memory: false,
|
||||
use_authors_note: false,
|
||||
use_world_info: false,
|
||||
max_context_length: request.body.max_context_length,
|
||||
max_length: request.body.max_length,
|
||||
};
|
||||
|
||||
if (!request.body.gui_settings) {
|
||||
this_settings = {
|
||||
prompt: request_prompt,
|
||||
use_story: false,
|
||||
use_memory: false,
|
||||
use_authors_note: false,
|
||||
use_world_info: false,
|
||||
max_context_length: request.body.max_context_length,
|
||||
max_length: request.body.max_length,
|
||||
rep_pen: request.body.rep_pen,
|
||||
rep_pen_range: request.body.rep_pen_range,
|
||||
rep_pen_slope: request.body.rep_pen_slope,
|
||||
temperature: request.body.temperature,
|
||||
tfs: request.body.tfs,
|
||||
top_a: request.body.top_a,
|
||||
top_k: request.body.top_k,
|
||||
top_p: request.body.top_p,
|
||||
min_p: request.body.min_p,
|
||||
typical: request.body.typical,
|
||||
sampler_order: request.body.sampler_order,
|
||||
singleline: !!request.body.singleline,
|
||||
use_default_badwordsids: request.body.use_default_badwordsids,
|
||||
mirostat: request.body.mirostat,
|
||||
mirostat_eta: request.body.mirostat_eta,
|
||||
mirostat_tau: request.body.mirostat_tau,
|
||||
grammar: request.body.grammar,
|
||||
sampler_seed: request.body.sampler_seed,
|
||||
};
|
||||
if (request.body.stop_sequence) {
|
||||
this_settings['stop_sequence'] = request.body.stop_sequence;
|
||||
}
|
||||
}
|
||||
|
||||
console.log(this_settings);
|
||||
const args = {
|
||||
body: JSON.stringify(this_settings),
|
||||
headers: Object.assign(
|
||||
{ 'Content-Type': 'application/json' },
|
||||
getOverrideHeaders((new URL(request.body.api_server))?.host),
|
||||
),
|
||||
signal: controller.signal,
|
||||
};
|
||||
|
||||
const MAX_RETRIES = 50;
|
||||
const delayAmount = 2500;
|
||||
for (let i = 0; i < MAX_RETRIES; i++) {
|
||||
try {
|
||||
const url = request.body.streaming ? `${request.body.api_server}/extra/generate/stream` : `${request.body.api_server}/v1/generate`;
|
||||
const response = await fetch(url, { method: 'POST', timeout: 0, ...args });
|
||||
|
||||
if (request.body.streaming) {
|
||||
// Pipe remote SSE stream to Express response
|
||||
forwardFetchResponse(response, response_generate);
|
||||
return;
|
||||
} else {
|
||||
if (!response.ok) {
|
||||
const errorText = await response.text();
|
||||
console.log(`Kobold returned error: ${response.status} ${response.statusText} ${errorText}`);
|
||||
|
||||
try {
|
||||
const errorJson = JSON.parse(errorText);
|
||||
const message = errorJson?.detail?.msg || errorText;
|
||||
return response_generate.status(400).send({ error: { message } });
|
||||
} catch {
|
||||
return response_generate.status(400).send({ error: { message: errorText } });
|
||||
}
|
||||
}
|
||||
|
||||
const data = await response.json();
|
||||
console.log('Endpoint response:', data);
|
||||
return response_generate.send(data);
|
||||
}
|
||||
} catch (error) {
|
||||
// response
|
||||
switch (error?.status) {
|
||||
case 403:
|
||||
case 503: // retry in case of temporary service issue, possibly caused by a queue failure?
|
||||
console.debug(`KoboldAI is busy. Retry attempt ${i + 1} of ${MAX_RETRIES}...`);
|
||||
await delay(delayAmount);
|
||||
break;
|
||||
default:
|
||||
if ('status' in error) {
|
||||
console.log('Status Code from Kobold:', error.status);
|
||||
}
|
||||
return response_generate.send({ error: true });
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
console.log('Max retries exceeded. Giving up.');
|
||||
return response_generate.send({ error: true });
|
||||
});
|
||||
|
||||
router.post('/status', jsonParser, async function (request, response) {
|
||||
if (!request.body) return response.sendStatus(400);
|
||||
let api_server = request.body.api_server;
|
||||
if (api_server.indexOf('localhost') != -1) {
|
||||
api_server = api_server.replace('localhost', '127.0.0.1');
|
||||
}
|
||||
|
||||
const args = {
|
||||
headers: { 'Content-Type': 'application/json' },
|
||||
};
|
||||
|
||||
setAdditionalHeaders(request, args, api_server);
|
||||
|
||||
const result = {};
|
||||
|
||||
const [koboldUnitedResponse, koboldExtraResponse, koboldModelResponse] = await Promise.all([
|
||||
// We catch errors both from the response not having a successful HTTP status and from JSON parsing failing
|
||||
|
||||
// Kobold United API version
|
||||
fetch(`${api_server}/v1/info/version`).then(response => {
|
||||
if (!response.ok) throw new Error(`Kobold API error: ${response.status, response.statusText}`);
|
||||
return response.json();
|
||||
}).catch(() => ({ result: '0.0.0' })),
|
||||
|
||||
// KoboldCpp version
|
||||
fetch(`${api_server}/extra/version`).then(response => {
|
||||
if (!response.ok) throw new Error(`Kobold API error: ${response.status, response.statusText}`);
|
||||
return response.json();
|
||||
}).catch(() => ({ version: '0.0' })),
|
||||
|
||||
// Current model
|
||||
fetch(`${api_server}/v1/model`).then(response => {
|
||||
if (!response.ok) throw new Error(`Kobold API error: ${response.status, response.statusText}`);
|
||||
return response.json();
|
||||
}).catch(() => null),
|
||||
]);
|
||||
|
||||
result.koboldUnitedVersion = koboldUnitedResponse.result;
|
||||
result.koboldCppVersion = koboldExtraResponse.result;
|
||||
result.model = !koboldModelResponse || koboldModelResponse.result === 'ReadOnly' ?
|
||||
'no_connection' :
|
||||
koboldModelResponse.result;
|
||||
|
||||
response.send(result);
|
||||
});
|
||||
|
||||
module.exports = { router };
|
76
src/endpoints/backends/scale-alt.js
Normal file
76
src/endpoints/backends/scale-alt.js
Normal file
@ -0,0 +1,76 @@
|
||||
const express = require('express');
|
||||
const fetch = require('node-fetch').default;
|
||||
|
||||
const { jsonParser } = require('../../express-common');
|
||||
|
||||
const { readSecret, SECRET_KEYS } = require('../secrets');
|
||||
|
||||
const router = express.Router();
|
||||
|
||||
router.post('/generate', jsonParser, function (request, response) {
|
||||
if (!request.body) return response.sendStatus(400);
|
||||
|
||||
fetch('https://dashboard.scale.com/spellbook/api/trpc/v2.variant.run', {
|
||||
method: 'POST',
|
||||
headers: {
|
||||
'Content-Type': 'application/json',
|
||||
'cookie': `_jwt=${readSecret(SECRET_KEYS.SCALE_COOKIE)}`,
|
||||
},
|
||||
body: JSON.stringify({
|
||||
json: {
|
||||
variant: {
|
||||
name: 'New Variant',
|
||||
appId: '',
|
||||
taxonomy: null,
|
||||
},
|
||||
prompt: {
|
||||
id: '',
|
||||
template: '{{input}}\n',
|
||||
exampleVariables: {},
|
||||
variablesSourceDataId: null,
|
||||
systemMessage: request.body.sysprompt,
|
||||
},
|
||||
modelParameters: {
|
||||
id: '',
|
||||
modelId: 'GPT4',
|
||||
modelType: 'OpenAi',
|
||||
maxTokens: request.body.max_tokens,
|
||||
temperature: request.body.temp,
|
||||
stop: 'user:',
|
||||
suffix: null,
|
||||
topP: request.body.top_p,
|
||||
logprobs: null,
|
||||
logitBias: request.body.logit_bias,
|
||||
},
|
||||
inputs: [
|
||||
{
|
||||
index: '-1',
|
||||
valueByName: {
|
||||
input: request.body.prompt,
|
||||
},
|
||||
},
|
||||
],
|
||||
},
|
||||
meta: {
|
||||
values: {
|
||||
'variant.taxonomy': ['undefined'],
|
||||
'prompt.variablesSourceDataId': ['undefined'],
|
||||
'modelParameters.suffix': ['undefined'],
|
||||
'modelParameters.logprobs': ['undefined'],
|
||||
},
|
||||
},
|
||||
}),
|
||||
})
|
||||
.then(res => res.json())
|
||||
.then(data => {
|
||||
console.log(data.result.data.json.outputs[0]);
|
||||
return response.send({ output: data.result.data.json.outputs[0] });
|
||||
})
|
||||
.catch((error) => {
|
||||
console.error('Error:', error);
|
||||
return response.send({ error: true });
|
||||
});
|
||||
|
||||
});
|
||||
|
||||
module.exports = { router };
|
208
src/endpoints/backends/text-completions.js
Normal file
208
src/endpoints/backends/text-completions.js
Normal file
@ -0,0 +1,208 @@
|
||||
const express = require('express');
|
||||
const fetch = require('node-fetch').default;
|
||||
|
||||
const { jsonParser } = require('../../express-common');
|
||||
const { TEXTGEN_TYPES } = require('../../constants');
|
||||
const { forwardFetchResponse } = require('../../util');
|
||||
const { setAdditionalHeaders } = require('../../additional-headers');
|
||||
|
||||
const router = express.Router();
|
||||
|
||||
//************** Ooba/OpenAI text completions API
|
||||
router.post('/status', jsonParser, async function (request, response) {
|
||||
if (!request.body) return response.sendStatus(400);
|
||||
|
||||
try {
|
||||
if (request.body.api_server.indexOf('localhost') !== -1) {
|
||||
request.body.api_server = request.body.api_server.replace('localhost', '127.0.0.1');
|
||||
}
|
||||
|
||||
console.log('Trying to connect to API:', request.body);
|
||||
|
||||
// Convert to string + remove trailing slash + /v1 suffix
|
||||
const baseUrl = String(request.body.api_server).replace(/\/$/, '').replace(/\/v1$/, '');
|
||||
|
||||
const args = {
|
||||
headers: { 'Content-Type': 'application/json' },
|
||||
};
|
||||
|
||||
setAdditionalHeaders(request, args, baseUrl);
|
||||
|
||||
let url = baseUrl;
|
||||
let result = '';
|
||||
|
||||
if (request.body.legacy_api) {
|
||||
url += '/v1/model';
|
||||
} else {
|
||||
switch (request.body.api_type) {
|
||||
case TEXTGEN_TYPES.OOBA:
|
||||
case TEXTGEN_TYPES.APHRODITE:
|
||||
case TEXTGEN_TYPES.KOBOLDCPP:
|
||||
url += '/v1/models';
|
||||
break;
|
||||
case TEXTGEN_TYPES.MANCER:
|
||||
url += '/oai/v1/models';
|
||||
break;
|
||||
case TEXTGEN_TYPES.TABBY:
|
||||
url += '/v1/model/list';
|
||||
break;
|
||||
}
|
||||
}
|
||||
|
||||
const modelsReply = await fetch(url, args);
|
||||
|
||||
if (!modelsReply.ok) {
|
||||
console.log('Models endpoint is offline.');
|
||||
return response.status(400);
|
||||
}
|
||||
|
||||
const data = await modelsReply.json();
|
||||
|
||||
if (request.body.legacy_api) {
|
||||
console.log('Legacy API response:', data);
|
||||
return response.send({ result: data?.result });
|
||||
}
|
||||
|
||||
if (!Array.isArray(data.data)) {
|
||||
console.log('Models response is not an array.');
|
||||
return response.status(400);
|
||||
}
|
||||
|
||||
const modelIds = data.data.map(x => x.id);
|
||||
console.log('Models available:', modelIds);
|
||||
|
||||
// Set result to the first model ID
|
||||
result = modelIds[0] || 'Valid';
|
||||
|
||||
if (request.body.api_type === TEXTGEN_TYPES.OOBA) {
|
||||
try {
|
||||
const modelInfoUrl = baseUrl + '/v1/internal/model/info';
|
||||
const modelInfoReply = await fetch(modelInfoUrl, args);
|
||||
|
||||
if (modelInfoReply.ok) {
|
||||
const modelInfo = await modelInfoReply.json();
|
||||
console.log('Ooba model info:', modelInfo);
|
||||
|
||||
const modelName = modelInfo?.model_name;
|
||||
result = modelName || result;
|
||||
}
|
||||
} catch (error) {
|
||||
console.error(`Failed to get Ooba model info: ${error}`);
|
||||
}
|
||||
} else if (request.body.api_type === TEXTGEN_TYPES.TABBY) {
|
||||
try {
|
||||
const modelInfoUrl = baseUrl + '/v1/model';
|
||||
const modelInfoReply = await fetch(modelInfoUrl, args);
|
||||
|
||||
if (modelInfoReply.ok) {
|
||||
const modelInfo = await modelInfoReply.json();
|
||||
console.log('Tabby model info:', modelInfo);
|
||||
|
||||
const modelName = modelInfo?.id;
|
||||
result = modelName || result;
|
||||
} else {
|
||||
// TabbyAPI returns an error 400 if a model isn't loaded
|
||||
|
||||
result = 'None';
|
||||
}
|
||||
} catch (error) {
|
||||
console.error(`Failed to get TabbyAPI model info: ${error}`);
|
||||
}
|
||||
}
|
||||
|
||||
return response.send({ result, data: data.data });
|
||||
} catch (error) {
|
||||
console.error(error);
|
||||
return response.status(500);
|
||||
}
|
||||
});
|
||||
|
||||
router.post('/generate', jsonParser, async function (request, response_generate) {
|
||||
if (!request.body) return response_generate.sendStatus(400);
|
||||
|
||||
try {
|
||||
if (request.body.api_server.indexOf('localhost') !== -1) {
|
||||
request.body.api_server = request.body.api_server.replace('localhost', '127.0.0.1');
|
||||
}
|
||||
|
||||
const baseUrl = request.body.api_server;
|
||||
console.log(request.body);
|
||||
|
||||
const controller = new AbortController();
|
||||
request.socket.removeAllListeners('close');
|
||||
request.socket.on('close', function () {
|
||||
controller.abort();
|
||||
});
|
||||
|
||||
// Convert to string + remove trailing slash + /v1 suffix
|
||||
let url = String(baseUrl).replace(/\/$/, '').replace(/\/v1$/, '');
|
||||
|
||||
if (request.body.legacy_api) {
|
||||
url += '/v1/generate';
|
||||
} else {
|
||||
switch (request.body.api_type) {
|
||||
case TEXTGEN_TYPES.APHRODITE:
|
||||
case TEXTGEN_TYPES.OOBA:
|
||||
case TEXTGEN_TYPES.TABBY:
|
||||
case TEXTGEN_TYPES.KOBOLDCPP:
|
||||
url += '/v1/completions';
|
||||
break;
|
||||
case TEXTGEN_TYPES.MANCER:
|
||||
url += '/oai/v1/completions';
|
||||
break;
|
||||
}
|
||||
}
|
||||
|
||||
const args = {
|
||||
method: 'POST',
|
||||
body: JSON.stringify(request.body),
|
||||
headers: { 'Content-Type': 'application/json' },
|
||||
signal: controller.signal,
|
||||
timeout: 0,
|
||||
};
|
||||
|
||||
setAdditionalHeaders(request, args, baseUrl);
|
||||
|
||||
if (request.body.stream) {
|
||||
const completionsStream = await fetch(url, args);
|
||||
// Pipe remote SSE stream to Express response
|
||||
forwardFetchResponse(completionsStream, response_generate);
|
||||
}
|
||||
else {
|
||||
const completionsReply = await fetch(url, args);
|
||||
|
||||
if (completionsReply.ok) {
|
||||
const data = await completionsReply.json();
|
||||
console.log('Endpoint response:', data);
|
||||
|
||||
// Wrap legacy response to OAI completions format
|
||||
if (request.body.legacy_api) {
|
||||
const text = data?.results[0]?.text;
|
||||
data['choices'] = [{ text }];
|
||||
}
|
||||
|
||||
return response_generate.send(data);
|
||||
} else {
|
||||
const text = await completionsReply.text();
|
||||
const errorBody = { error: true, status: completionsReply.status, response: text };
|
||||
|
||||
if (!response_generate.headersSent) {
|
||||
return response_generate.send(errorBody);
|
||||
}
|
||||
|
||||
return response_generate.end();
|
||||
}
|
||||
}
|
||||
} catch (error) {
|
||||
let value = { error: true, status: error?.status, response: error?.statusText };
|
||||
console.log('Endpoint error:', error);
|
||||
|
||||
if (!response_generate.headersSent) {
|
||||
return response_generate.send(value);
|
||||
}
|
||||
|
||||
return response_generate.end();
|
||||
}
|
||||
});
|
||||
|
||||
module.exports = { router };
|
@ -58,6 +58,32 @@ function convertClaudePrompt(messages, addAssistantPostfix, addAssistantPrefill,
|
||||
return requestPrompt;
|
||||
}
|
||||
|
||||
/**
|
||||
* Convert a prompt from the ChatML objects to the format used by Text Completion API.
|
||||
* @param {object[]} messages Array of messages
|
||||
* @returns {string} Prompt for Text Completion API
|
||||
*/
|
||||
function convertTextCompletionPrompt(messages) {
|
||||
if (typeof messages === 'string') {
|
||||
return messages;
|
||||
}
|
||||
|
||||
const messageStrings = [];
|
||||
messages.forEach(m => {
|
||||
if (m.role === 'system' && m.name === undefined) {
|
||||
messageStrings.push('System: ' + m.content);
|
||||
}
|
||||
else if (m.role === 'system' && m.name !== undefined) {
|
||||
messageStrings.push(m.name + ': ' + m.content);
|
||||
}
|
||||
else {
|
||||
messageStrings.push(m.role + ': ' + m.content);
|
||||
}
|
||||
});
|
||||
return messageStrings.join('\n') + '\nassistant:';
|
||||
}
|
||||
|
||||
module.exports = {
|
||||
convertClaudePrompt,
|
||||
convertTextCompletionPrompt,
|
||||
};
|
@ -4,7 +4,7 @@ const express = require('express');
|
||||
const { SentencePieceProcessor } = require('@agnai/sentencepiece-js');
|
||||
const tiktoken = require('@dqbd/tiktoken');
|
||||
const { Tokenizer } = require('@agnai/web-tokenizers');
|
||||
const { convertClaudePrompt } = require('../chat-completion');
|
||||
const { convertClaudePrompt } = require('./prompt-converters');
|
||||
const { readSecret, SECRET_KEYS } = require('./secrets');
|
||||
const { TEXTGEN_TYPES } = require('../constants');
|
||||
const { jsonParser } = require('../express-common');
|
||||
@ -562,7 +562,8 @@ router.post('/remote/kobold/count', jsonParser, async function (request, respons
|
||||
|
||||
const data = await result.json();
|
||||
const count = data['value'];
|
||||
return response.send({ count, ids: [] });
|
||||
const ids = data['ids'] ?? [];
|
||||
return response.send({ count, ids });
|
||||
} catch (error) {
|
||||
console.log(error);
|
||||
return response.send({ error: true });
|
||||
@ -617,7 +618,7 @@ router.post('/remote/textgenerationwebui/encode', jsonParser, async function (re
|
||||
|
||||
const data = await result.json();
|
||||
const count = legacyApi ? data?.results[0]?.tokens : (data?.length ?? data?.value);
|
||||
const ids = legacyApi ? [] : (data?.tokens ?? []);
|
||||
const ids = legacyApi ? [] : (data?.tokens ?? data?.ids ?? []);
|
||||
|
||||
return response.send({ count, ids });
|
||||
} catch (error) {
|
||||
|
@ -349,7 +349,7 @@ function getImages(path) {
|
||||
|
||||
/**
|
||||
* Pipe a fetch() response to an Express.js Response, including status code.
|
||||
* @param {Response} from The Fetch API response to pipe from.
|
||||
* @param {import('node-fetch').Response} from The Fetch API response to pipe from.
|
||||
* @param {Express.Response} to The Express response to pipe to.
|
||||
*/
|
||||
function forwardFetchResponse(from, to) {
|
||||
|
Loading…
x
Reference in New Issue
Block a user