mirror of
https://github.com/SillyTavern/SillyTavern.git
synced 2025-06-05 21:59:27 +02:00
Merge branch 'staging' into gork-ai
This commit is contained in:
@ -1975,7 +1975,7 @@
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<span data-i18n="enable_functions_desc_3">Can be utilized by various extensions to provide additional functionality.</span>
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</div>
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</div>
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<div class="range-block" data-source="openai,openrouter,makersuite,claude,custom,01ai,xai">
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<div class="range-block" data-source="openai,openrouter,mistralai,makersuite,claude,custom,01ai,xai">
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<label for="openai_image_inlining" class="checkbox_label flexWrap widthFreeExpand">
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<input id="openai_image_inlining" type="checkbox" />
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<span data-i18n="Send inline images">Send inline images</span>
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@ -43,10 +43,12 @@ import EventSourceStream from './sse-stream.js';
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* @property {boolean?} [stream=false] - Whether to stream the response
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* @property {ChatCompletionMessage[]} messages - Array of chat messages
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* @property {string} [model] - Optional model name to use for completion
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* @property {string} chat_completion_source - Source provider for chat completion
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* @property {string} chat_completion_source - Source provider
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* @property {number} max_tokens - Maximum number of tokens to generate
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* @property {number} [temperature] - Optional temperature parameter for response randomness
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* @property {string} [custom_url] - Optional custom URL for chat completion
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* @property {string} [custom_url] - Optional custom URL
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* @property {string} [reverse_proxy] - Optional reverse proxy URL
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* @property {string} [proxy_password] - Optional proxy password
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*/
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/** @typedef {Record<string, any> & ChatCompletionPayloadBase} ChatCompletionPayload */
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@ -80,7 +82,6 @@ export class TextCompletionService {
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*/
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static createRequestData({ stream = false, prompt, max_tokens, model, api_type, api_server, temperature, min_p, ...props }) {
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const payload = {
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...props,
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stream,
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prompt,
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max_tokens,
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@ -90,6 +91,7 @@ export class TextCompletionService {
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api_server: api_server ?? getTextGenServer(api_type),
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temperature,
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min_p,
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...props,
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};
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// Remove undefined values to avoid API errors
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@ -387,9 +389,8 @@ export class ChatCompletionService {
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* @param {ChatCompletionPayload} custom
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* @returns {ChatCompletionPayload}
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*/
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static createRequestData({ stream = false, messages, model, chat_completion_source, max_tokens, temperature, custom_url, ...props }) {
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static createRequestData({ stream = false, messages, model, chat_completion_source, max_tokens, temperature, custom_url, reverse_proxy, proxy_password, ...props }) {
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const payload = {
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...props,
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stream,
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messages,
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model,
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@ -397,6 +398,11 @@ export class ChatCompletionService {
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max_tokens,
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temperature,
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custom_url,
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reverse_proxy,
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proxy_password,
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use_makersuite_sysprompt: true,
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claude_use_sysprompt: true,
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...props,
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};
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// Remove undefined values to avoid API errors
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@ -1,7 +1,7 @@
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import { CONNECT_API_MAP, getRequestHeaders } from '../../script.js';
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import { extension_settings, openThirdPartyExtensionMenu } from '../extensions.js';
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import { t } from '../i18n.js';
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import { oai_settings } from '../openai.js';
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import { oai_settings, proxies } from '../openai.js';
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import { SECRET_KEYS, secret_state } from '../secrets.js';
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import { textgen_types, textgenerationwebui_settings } from '../textgen-settings.js';
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import { getTokenCountAsync } from '../tokenizers.js';
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@ -310,9 +310,10 @@ export class ConnectionManagerRequestService {
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* @param {boolean?} [custom.includePreset=true]
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* @param {boolean?} [custom.includeInstruct=true]
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* @param {Partial<InstructSettings>?} [custom.instructSettings] Override instruct settings
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* @param {Record<string, any>} [overridePayload] - Override payload for the request
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* @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
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*/
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static async sendRequest(profileId, prompt, maxTokens, custom = this.defaultSendRequestParams) {
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static async sendRequest(profileId, prompt, maxTokens, custom = this.defaultSendRequestParams, overridePayload = {}) {
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const { stream, signal, extractData, includePreset, includeInstruct, instructSettings } = { ...this.defaultSendRequestParams, ...custom };
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const context = SillyTavern.getContext();
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@ -330,6 +331,8 @@ export class ConnectionManagerRequestService {
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throw new Error(`API type ${selectedApiMap.selected} does not support chat completions`);
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}
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const proxyPreset = proxies.find((p) => p.name === profile.proxy);
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const messages = Array.isArray(prompt) ? prompt : [{ role: 'user', content: prompt }];
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return await context.ChatCompletionService.processRequest({
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stream,
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@ -338,6 +341,9 @@ export class ConnectionManagerRequestService {
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model: profile.model,
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chat_completion_source: selectedApiMap.source,
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custom_url: profile['api-url'],
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reverse_proxy: proxyPreset?.url,
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proxy_password: proxyPreset?.password,
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...overridePayload,
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}, {
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presetName: includePreset ? profile.preset : undefined,
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}, extractData, signal);
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@ -354,6 +360,7 @@ export class ConnectionManagerRequestService {
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model: profile.model,
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api_type: selectedApiMap.type,
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api_server: profile['api-url'],
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...overridePayload,
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}, {
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instructName: includeInstruct ? profile.instruct : undefined,
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presetName: includePreset ? profile.preset : undefined,
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@ -4192,6 +4192,80 @@ function getMaxContextWindowAI(value) {
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}
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}
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/**
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* Get the maximum context size for the Mistral model
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* @param {string} model Model identifier
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* @param {boolean} isUnlocked Whether context limits are unlocked
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* @returns {number} Maximum context size in tokens
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*/
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function getMistralMaxContext(model, isUnlocked) {
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if (isUnlocked) {
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return unlocked_max;
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}
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if (Array.isArray(model_list) && model_list.length > 0) {
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const contextLength = model_list.find((record) => record.id === model)?.max_context_length;
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if (contextLength) {
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return contextLength;
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}
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}
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const contextMap = {
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'codestral-2411-rc5': 262144,
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'codestral-2412': 262144,
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'codestral-2501': 262144,
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'codestral-latest': 262144,
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'codestral-mamba-2407': 262144,
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'codestral-mamba-latest': 262144,
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'open-codestral-mamba': 262144,
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'ministral-3b-2410': 131072,
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'ministral-3b-latest': 131072,
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'ministral-8b-2410': 131072,
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'ministral-8b-latest': 131072,
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'mistral-large-2407': 131072,
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'mistral-large-2411': 131072,
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'mistral-large-latest': 131072,
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'mistral-large-pixtral-2411': 131072,
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'mistral-tiny-2407': 131072,
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'mistral-tiny-latest': 131072,
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'open-mistral-nemo': 131072,
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'open-mistral-nemo-2407': 131072,
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'pixtral-12b': 131072,
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'pixtral-12b-2409': 131072,
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'pixtral-12b-latest': 131072,
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'pixtral-large-2411': 131072,
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'pixtral-large-latest': 131072,
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'open-mixtral-8x22b': 65536,
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'open-mixtral-8x22b-2404': 65536,
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'codestral-2405': 32768,
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'mistral-embed': 32768,
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'mistral-large-2402': 32768,
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'mistral-medium': 32768,
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'mistral-medium-2312': 32768,
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'mistral-medium-latest': 32768,
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'mistral-moderation-2411': 32768,
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'mistral-moderation-latest': 32768,
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'mistral-ocr-2503': 32768,
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'mistral-ocr-latest': 32768,
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'mistral-saba-2502': 32768,
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'mistral-saba-latest': 32768,
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'mistral-small': 32768,
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'mistral-small-2312': 32768,
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'mistral-small-2402': 32768,
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'mistral-small-2409': 32768,
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'mistral-small-2501': 32768,
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'mistral-small-2503': 32768,
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'mistral-small-latest': 32768,
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'mistral-tiny': 32768,
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'mistral-tiny-2312': 32768,
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'open-mistral-7b': 32768,
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'open-mixtral-8x7b': 32768,
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};
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// Return context size if model found, otherwise default to 32k
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return Object.entries(contextMap).find(([key]) => model.includes(key))?.[1] || 32768;
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}
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/**
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* Get the maximum context size for the Groq model
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* @param {string} model Model identifier
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@ -4460,27 +4534,10 @@ async function onModelChange() {
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}
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if (oai_settings.chat_completion_source === chat_completion_sources.MISTRALAI) {
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if (oai_settings.max_context_unlocked) {
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$('#openai_max_context').attr('max', unlocked_max);
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} else if (['codestral-latest', 'codestral-mamba-2407', 'codestral-2411-rc5', 'codestral-2412', 'codestral-2501'].includes(oai_settings.mistralai_model)) {
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$('#openai_max_context').attr('max', max_256k);
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} else if (['mistral-large-2407', 'mistral-large-2411', 'mistral-large-pixtral-2411', 'mistral-large-latest'].includes(oai_settings.mistralai_model)) {
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$('#openai_max_context').attr('max', max_128k);
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} else if (oai_settings.mistralai_model.includes('mistral-nemo')) {
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$('#openai_max_context').attr('max', max_128k);
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} else if (oai_settings.mistralai_model.includes('mixtral-8x22b')) {
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$('#openai_max_context').attr('max', max_64k);
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} else if (oai_settings.mistralai_model.includes('pixtral')) {
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$('#openai_max_context').attr('max', max_128k);
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} else if (oai_settings.mistralai_model.includes('ministral')) {
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$('#openai_max_context').attr('max', max_32k);
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} else {
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$('#openai_max_context').attr('max', max_32k);
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}
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const maxContext = getMistralMaxContext(oai_settings.mistralai_model, oai_settings.max_context_unlocked);
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$('#openai_max_context').attr('max', maxContext);
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oai_settings.openai_max_context = Math.min(oai_settings.openai_max_context, Number($('#openai_max_context').attr('max')));
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$('#openai_max_context').val(oai_settings.openai_max_context).trigger('input');
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//mistral also caps temp at 1.0
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oai_settings.temp_openai = Math.min(claude_max_temp, oai_settings.temp_openai);
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$('#temp_openai').attr('max', claude_max_temp).val(oai_settings.temp_openai).trigger('input');
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}
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@ -5070,7 +5127,9 @@ export function isImageInliningSupported() {
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'o1-2024-12-17',
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'chatgpt-4o-latest',
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'yi-vision',
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'pixtral-latest',
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'mistral-large-pixtral-2411',
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'mistral-small-2503',
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'mistral-small-latest',
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'pixtral-12b-latest',
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'pixtral-12b',
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'pixtral-12b-2409',
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@ -58,6 +58,8 @@ const OPENROUTER_PROVIDERS = [
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'Minimax',
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'Nineteen',
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'Liquid',
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'Stealth',
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'NCompass',
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'InferenceNet',
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'Friendli',
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'AionLabs',
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@ -69,6 +71,9 @@ const OPENROUTER_PROVIDERS = [
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'Targon',
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'Ubicloud',
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'Parasail',
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'Phala',
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'Cent-ML',
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'Venice',
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'01.AI',
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'HuggingFace',
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'Mancer',
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@ -1166,7 +1166,8 @@ falai.post('/models', async (_request, response) => {
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const models = data
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.filter(x => !x.title.toLowerCase().includes('inpainting') &&
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!x.title.toLowerCase().includes('control') &&
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!x.title.toLowerCase().includes('upscale'))
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!x.title.toLowerCase().includes('upscale') &&
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!x.title.toLowerCase().includes('lora'))
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.sort((a, b) => a.title.localeCompare(b.title))
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.map(x => ({ value: x.modelUrl.split('fal-ai/')[1], text: x.title }));
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return response.send(models);
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