Merge branch 'staging' into gork-ai

This commit is contained in:
Cohee
2025-04-11 21:15:54 +03:00
6 changed files with 107 additions and 29 deletions

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@ -1975,7 +1975,7 @@
<span data-i18n="enable_functions_desc_3">Can be utilized by various extensions to provide additional functionality.</span>
</div>
</div>
<div class="range-block" data-source="openai,openrouter,makersuite,claude,custom,01ai,xai">
<div class="range-block" data-source="openai,openrouter,mistralai,makersuite,claude,custom,01ai,xai">
<label for="openai_image_inlining" class="checkbox_label flexWrap widthFreeExpand">
<input id="openai_image_inlining" type="checkbox" />
<span data-i18n="Send inline images">Send inline images</span>

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@ -43,10 +43,12 @@ import EventSourceStream from './sse-stream.js';
* @property {boolean?} [stream=false] - Whether to stream the response
* @property {ChatCompletionMessage[]} messages - Array of chat messages
* @property {string} [model] - Optional model name to use for completion
* @property {string} chat_completion_source - Source provider for chat completion
* @property {string} chat_completion_source - Source provider
* @property {number} max_tokens - Maximum number of tokens to generate
* @property {number} [temperature] - Optional temperature parameter for response randomness
* @property {string} [custom_url] - Optional custom URL for chat completion
* @property {string} [custom_url] - Optional custom URL
* @property {string} [reverse_proxy] - Optional reverse proxy URL
* @property {string} [proxy_password] - Optional proxy password
*/
/** @typedef {Record<string, any> & ChatCompletionPayloadBase} ChatCompletionPayload */
@ -80,7 +82,6 @@ export class TextCompletionService {
*/
static createRequestData({ stream = false, prompt, max_tokens, model, api_type, api_server, temperature, min_p, ...props }) {
const payload = {
...props,
stream,
prompt,
max_tokens,
@ -90,6 +91,7 @@ export class TextCompletionService {
api_server: api_server ?? getTextGenServer(api_type),
temperature,
min_p,
...props,
};
// Remove undefined values to avoid API errors
@ -387,9 +389,8 @@ export class ChatCompletionService {
* @param {ChatCompletionPayload} custom
* @returns {ChatCompletionPayload}
*/
static createRequestData({ stream = false, messages, model, chat_completion_source, max_tokens, temperature, custom_url, ...props }) {
static createRequestData({ stream = false, messages, model, chat_completion_source, max_tokens, temperature, custom_url, reverse_proxy, proxy_password, ...props }) {
const payload = {
...props,
stream,
messages,
model,
@ -397,6 +398,11 @@ export class ChatCompletionService {
max_tokens,
temperature,
custom_url,
reverse_proxy,
proxy_password,
use_makersuite_sysprompt: true,
claude_use_sysprompt: true,
...props,
};
// Remove undefined values to avoid API errors

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@ -1,7 +1,7 @@
import { CONNECT_API_MAP, getRequestHeaders } from '../../script.js';
import { extension_settings, openThirdPartyExtensionMenu } from '../extensions.js';
import { t } from '../i18n.js';
import { oai_settings } from '../openai.js';
import { oai_settings, proxies } from '../openai.js';
import { SECRET_KEYS, secret_state } from '../secrets.js';
import { textgen_types, textgenerationwebui_settings } from '../textgen-settings.js';
import { getTokenCountAsync } from '../tokenizers.js';
@ -310,9 +310,10 @@ export class ConnectionManagerRequestService {
* @param {boolean?} [custom.includePreset=true]
* @param {boolean?} [custom.includeInstruct=true]
* @param {Partial<InstructSettings>?} [custom.instructSettings] Override instruct settings
* @param {Record<string, any>} [overridePayload] - Override payload for the request
* @returns {Promise<import('../custom-request.js').ExtractedData | (() => AsyncGenerator<import('../custom-request.js').StreamResponse>)>} If not streaming, returns extracted data; if streaming, returns a function that creates an AsyncGenerator
*/
static async sendRequest(profileId, prompt, maxTokens, custom = this.defaultSendRequestParams) {
static async sendRequest(profileId, prompt, maxTokens, custom = this.defaultSendRequestParams, overridePayload = {}) {
const { stream, signal, extractData, includePreset, includeInstruct, instructSettings } = { ...this.defaultSendRequestParams, ...custom };
const context = SillyTavern.getContext();
@ -330,6 +331,8 @@ export class ConnectionManagerRequestService {
throw new Error(`API type ${selectedApiMap.selected} does not support chat completions`);
}
const proxyPreset = proxies.find((p) => p.name === profile.proxy);
const messages = Array.isArray(prompt) ? prompt : [{ role: 'user', content: prompt }];
return await context.ChatCompletionService.processRequest({
stream,
@ -338,6 +341,9 @@ export class ConnectionManagerRequestService {
model: profile.model,
chat_completion_source: selectedApiMap.source,
custom_url: profile['api-url'],
reverse_proxy: proxyPreset?.url,
proxy_password: proxyPreset?.password,
...overridePayload,
}, {
presetName: includePreset ? profile.preset : undefined,
}, extractData, signal);
@ -354,6 +360,7 @@ export class ConnectionManagerRequestService {
model: profile.model,
api_type: selectedApiMap.type,
api_server: profile['api-url'],
...overridePayload,
}, {
instructName: includeInstruct ? profile.instruct : undefined,
presetName: includePreset ? profile.preset : undefined,

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@ -4192,6 +4192,80 @@ function getMaxContextWindowAI(value) {
}
}
/**
* Get the maximum context size for the Mistral model
* @param {string} model Model identifier
* @param {boolean} isUnlocked Whether context limits are unlocked
* @returns {number} Maximum context size in tokens
*/
function getMistralMaxContext(model, isUnlocked) {
if (isUnlocked) {
return unlocked_max;
}
if (Array.isArray(model_list) && model_list.length > 0) {
const contextLength = model_list.find((record) => record.id === model)?.max_context_length;
if (contextLength) {
return contextLength;
}
}
const contextMap = {
'codestral-2411-rc5': 262144,
'codestral-2412': 262144,
'codestral-2501': 262144,
'codestral-latest': 262144,
'codestral-mamba-2407': 262144,
'codestral-mamba-latest': 262144,
'open-codestral-mamba': 262144,
'ministral-3b-2410': 131072,
'ministral-3b-latest': 131072,
'ministral-8b-2410': 131072,
'ministral-8b-latest': 131072,
'mistral-large-2407': 131072,
'mistral-large-2411': 131072,
'mistral-large-latest': 131072,
'mistral-large-pixtral-2411': 131072,
'mistral-tiny-2407': 131072,
'mistral-tiny-latest': 131072,
'open-mistral-nemo': 131072,
'open-mistral-nemo-2407': 131072,
'pixtral-12b': 131072,
'pixtral-12b-2409': 131072,
'pixtral-12b-latest': 131072,
'pixtral-large-2411': 131072,
'pixtral-large-latest': 131072,
'open-mixtral-8x22b': 65536,
'open-mixtral-8x22b-2404': 65536,
'codestral-2405': 32768,
'mistral-embed': 32768,
'mistral-large-2402': 32768,
'mistral-medium': 32768,
'mistral-medium-2312': 32768,
'mistral-medium-latest': 32768,
'mistral-moderation-2411': 32768,
'mistral-moderation-latest': 32768,
'mistral-ocr-2503': 32768,
'mistral-ocr-latest': 32768,
'mistral-saba-2502': 32768,
'mistral-saba-latest': 32768,
'mistral-small': 32768,
'mistral-small-2312': 32768,
'mistral-small-2402': 32768,
'mistral-small-2409': 32768,
'mistral-small-2501': 32768,
'mistral-small-2503': 32768,
'mistral-small-latest': 32768,
'mistral-tiny': 32768,
'mistral-tiny-2312': 32768,
'open-mistral-7b': 32768,
'open-mixtral-8x7b': 32768,
};
// Return context size if model found, otherwise default to 32k
return Object.entries(contextMap).find(([key]) => model.includes(key))?.[1] || 32768;
}
/**
* Get the maximum context size for the Groq model
* @param {string} model Model identifier
@ -4460,27 +4534,10 @@ async function onModelChange() {
}
if (oai_settings.chat_completion_source === chat_completion_sources.MISTRALAI) {
if (oai_settings.max_context_unlocked) {
$('#openai_max_context').attr('max', unlocked_max);
} else if (['codestral-latest', 'codestral-mamba-2407', 'codestral-2411-rc5', 'codestral-2412', 'codestral-2501'].includes(oai_settings.mistralai_model)) {
$('#openai_max_context').attr('max', max_256k);
} else if (['mistral-large-2407', 'mistral-large-2411', 'mistral-large-pixtral-2411', 'mistral-large-latest'].includes(oai_settings.mistralai_model)) {
$('#openai_max_context').attr('max', max_128k);
} else if (oai_settings.mistralai_model.includes('mistral-nemo')) {
$('#openai_max_context').attr('max', max_128k);
} else if (oai_settings.mistralai_model.includes('mixtral-8x22b')) {
$('#openai_max_context').attr('max', max_64k);
} else if (oai_settings.mistralai_model.includes('pixtral')) {
$('#openai_max_context').attr('max', max_128k);
} else if (oai_settings.mistralai_model.includes('ministral')) {
$('#openai_max_context').attr('max', max_32k);
} else {
$('#openai_max_context').attr('max', max_32k);
}
const maxContext = getMistralMaxContext(oai_settings.mistralai_model, oai_settings.max_context_unlocked);
$('#openai_max_context').attr('max', maxContext);
oai_settings.openai_max_context = Math.min(oai_settings.openai_max_context, Number($('#openai_max_context').attr('max')));
$('#openai_max_context').val(oai_settings.openai_max_context).trigger('input');
//mistral also caps temp at 1.0
oai_settings.temp_openai = Math.min(claude_max_temp, oai_settings.temp_openai);
$('#temp_openai').attr('max', claude_max_temp).val(oai_settings.temp_openai).trigger('input');
}
@ -5070,7 +5127,9 @@ export function isImageInliningSupported() {
'o1-2024-12-17',
'chatgpt-4o-latest',
'yi-vision',
'pixtral-latest',
'mistral-large-pixtral-2411',
'mistral-small-2503',
'mistral-small-latest',
'pixtral-12b-latest',
'pixtral-12b',
'pixtral-12b-2409',

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@ -58,6 +58,8 @@ const OPENROUTER_PROVIDERS = [
'Minimax',
'Nineteen',
'Liquid',
'Stealth',
'NCompass',
'InferenceNet',
'Friendli',
'AionLabs',
@ -69,6 +71,9 @@ const OPENROUTER_PROVIDERS = [
'Targon',
'Ubicloud',
'Parasail',
'Phala',
'Cent-ML',
'Venice',
'01.AI',
'HuggingFace',
'Mancer',

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@ -1166,7 +1166,8 @@ falai.post('/models', async (_request, response) => {
const models = data
.filter(x => !x.title.toLowerCase().includes('inpainting') &&
!x.title.toLowerCase().includes('control') &&
!x.title.toLowerCase().includes('upscale'))
!x.title.toLowerCase().includes('upscale') &&
!x.title.toLowerCase().includes('lora'))
.sort((a, b) => a.title.localeCompare(b.title))
.map(x => ({ value: x.modelUrl.split('fal-ai/')[1], text: x.title }));
return response.send(models);