Merge branch 'main' of https://github.com/kwaroran/RisuAI
This commit is contained in:
@@ -1050,36 +1050,6 @@ export const LLMModels: LLMModel[] = [
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parameters: ['temperature', 'top_k', 'top_p'],
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tokenizer: LLMTokenizer.GoogleCloud
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},
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{
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name: "Gemini Exp 1121",
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id: 'gemini-exp-1121-vertex',
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internalID: 'gemini-exp-1121',
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provider: LLMProvider.VertexAI,
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format: LLMFormat.VertexAIGemini,
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flags: [LLMFlags.hasImageInput, LLMFlags.hasFirstSystemPrompt, LLMFlags.requiresAlternateRole],
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parameters: ['temperature', 'top_k', 'top_p'],
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tokenizer: LLMTokenizer.Gemma
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},
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{
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name: "Gemini Pro 1.5",
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id: 'gemini-1.5-pro-latest-vertex',
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internalID: 'gemini-1.5-pro-latest',
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provider: LLMProvider.VertexAI,
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format: LLMFormat.VertexAIGemini,
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flags: [LLMFlags.hasImageInput, LLMFlags.hasFirstSystemPrompt, LLMFlags.requiresAlternateRole],
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parameters: ['temperature', 'top_k', 'top_p'],
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tokenizer: LLMTokenizer.Gemma
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},
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{
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name: "Gemini Flash 1.5",
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id: 'gemini-1.5-flash-vertex',
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internalID: 'gemini-1.5-flash',
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provider: LLMProvider.VertexAI,
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format: LLMFormat.VertexAIGemini,
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flags: [LLMFlags.hasImageInput, LLMFlags.hasFirstSystemPrompt, LLMFlags.requiresAlternateRole],
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parameters: ['temperature', 'top_k', 'top_p'],
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tokenizer: LLMTokenizer.Gemma
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},
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{
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name: "Gemini Exp 1114",
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id: 'gemini-exp-1114',
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@@ -1405,6 +1375,17 @@ for(let i=0; i<LLMModels.length; i++){
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})
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}
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if(LLMModels[i].provider === LLMProvider.GoogleCloud){
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LLMModels.push({
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...LLMModels[i],
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id: `${LLMModels[i].id}-vertex`,
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name: `${LLMModels[i].name} Vertex`,
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fullName: `${LLMModels[i].fullName ?? LLMModels[i].name} Vertex`,
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flags: [...LLMModels[i].flags],
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recommended: false,
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provider: LLMProvider.VertexAI
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})
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}
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}
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export function getModelInfo(id: string): LLMModel{
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@@ -1450,6 +1431,24 @@ export function getModelInfo(id: string): LLMModel{
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tokenizer: LLMTokenizer.Unknown
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}
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}
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if(id.startsWith('xcustom:::')){
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const customModels = db?.customModels || []
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const found = customModels.find((model) => model.id === id)
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if(found){
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return {
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id: found.id,
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name: found.name,
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shortName: found.name,
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fullName: found.name,
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internalID: found.internalId,
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provider: LLMProvider.AsIs,
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format: found.format,
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flags: found.flags,
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parameters: ['temperature', 'top_p', 'frequency_penalty', 'presence_penalty', 'repetition_penalty', 'min_p', 'top_a', 'top_k', 'thinking_tokens'],
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tokenizer: found.tokenizer
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}
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}
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}
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return {
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id,
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@@ -1310,6 +1310,12 @@ export async function sendChat(chatProcessIndex = -1,arg:{
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previewBody: arg.previewPrompt
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}, 'model', abortSignal)
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console.log(req)
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if(req.model){
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generationInfo.model = getGenerationModelString(req.model)
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console.log(generationInfo.model, req.model)
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}
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if(arg.previewPrompt && req.type === 'success'){
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previewBody = req.result
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return true
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@@ -1,13 +1,13 @@
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import { getDatabase } from "src/ts/storage/database.svelte";
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export function getGenerationModelString(){
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export function getGenerationModelString(name?:string){
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const db = getDatabase()
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switch (db.aiModel){
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switch (name ?? db.aiModel){
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case 'reverse_proxy':
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return 'custom-' + (db.reverseProxyOobaMode ? 'ooba' : db.customProxyRequestModel)
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case 'openrouter':
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return 'openrouter-' + db.openrouterRequestModel
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default:
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return db.aiModel
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return name ?? db.aiModel
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}
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}
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@@ -45,6 +45,7 @@ interface requestDataArgument{
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extractJson?:string
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imageResponse?:boolean
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previewBody?:boolean
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staticModel?: string
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}
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interface RequestDataArgumentExtended extends requestDataArgument{
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@@ -54,6 +55,7 @@ interface RequestDataArgumentExtended extends requestDataArgument{
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modelInfo?:LLMModel
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customURL?:string
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mode?:ModelModeExtended
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key?:string
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}
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type requestDataResponse = {
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@@ -64,18 +66,21 @@ type requestDataResponse = {
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emotion?: string
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},
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failByServerError?: boolean
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model?: string
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}|{
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type: "streaming",
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result: ReadableStream<StreamResponseChunk>,
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special?: {
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emotion?: string
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}
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model?: string
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}|{
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type: "multiline",
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result: ['user'|'char',string][],
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special?: {
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emotion?: string
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}
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model?: string
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}
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interface StreamResponseChunk{[key:string]:string}
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@@ -264,87 +269,112 @@ function applyParameters(data: { [key: string]: any }, parameters: Parameter[],
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export async function requestChatData(arg:requestDataArgument, model:ModelModeExtended, abortSignal:AbortSignal=null):Promise<requestDataResponse> {
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const db = getDatabase()
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let trys = 0
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while(true){
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const fallBackModels:string[] = safeStructuredClone(db?.fallbackModels?.[model] ?? [])
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fallBackModels.push('')
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if(pluginV2.replacerbeforeRequest.size > 0){
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for(const replacer of pluginV2.replacerbeforeRequest){
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arg.formated = await replacer(arg.formated, model)
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}
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const originalFormated = safeStructuredClone(arg.formated)
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for(let fallbackIndex=0;fallbackIndex<fallBackModels.length;fallbackIndex++){
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let trys = 0
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arg.formated = safeStructuredClone(originalFormated)
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if(fallbackIndex !== 0 && !fallBackModels[fallbackIndex]){
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continue
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}
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try{
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const currentChar = getCurrentCharacter()
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if(currentChar?.type !== 'group'){
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const perf = performance.now()
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const d = await runTrigger(currentChar, 'request', {
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chat: getCurrentChat(),
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displayMode: true,
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displayData: JSON.stringify(arg.formated)
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})
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while(true){
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const got = JSON.parse(d.displayData)
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if(!got || !Array.isArray(got)){
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throw new Error('Invalid return')
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if(pluginV2.replacerbeforeRequest.size > 0){
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for(const replacer of pluginV2.replacerbeforeRequest){
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arg.formated = await replacer(arg.formated, model)
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}
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arg.formated = got
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console.log('Trigger time', performance.now() - perf)
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}
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}
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catch(e){
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console.error(e)
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}
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try{
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const currentChar = getCurrentCharacter()
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if(currentChar?.type !== 'group'){
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const perf = performance.now()
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const d = await runTrigger(currentChar, 'request', {
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chat: getCurrentChat(),
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displayMode: true,
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displayData: JSON.stringify(arg.formated)
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})
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const da = await requestChatDataMain(arg, model, abortSignal)
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if(da.type === 'success' && pluginV2.replacerafterRequest.size > 0){
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for(const replacer of pluginV2.replacerafterRequest){
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da.result = await replacer(da.result, model)
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}
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}
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if(da.type === 'success' && db.banCharacterset?.length > 0){
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let failed = false
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for(const set of db.banCharacterset){
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console.log(set)
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const checkRegex = new RegExp(`\\p{Script=${set}}`, 'gu')
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if(checkRegex.test(da.result)){
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trys += 1
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if(trys > db.requestRetrys){
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return {
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type: 'fail',
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result: 'Banned character found, retry limit reached'
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}
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const got = JSON.parse(d.displayData)
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if(!got || !Array.isArray(got)){
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throw new Error('Invalid return')
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}
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failed = true
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arg.formated = got
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console.log('Trigger time', performance.now() - perf)
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}
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}
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catch(e){
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console.error(e)
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}
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const da = await requestChatDataMain({
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...arg,
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staticModel: fallBackModels[fallbackIndex]
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}, model, abortSignal)
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if(da.type === 'success' && pluginV2.replacerafterRequest.size > 0){
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for(const replacer of pluginV2.replacerafterRequest){
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da.result = await replacer(da.result, model)
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}
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}
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if(da.type === 'success' && db.banCharacterset?.length > 0){
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let failed = false
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for(const set of db.banCharacterset){
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console.log(set)
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const checkRegex = new RegExp(`\\p{Script=${set}}`, 'gu')
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if(checkRegex.test(da.result)){
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trys += 1
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failed = true
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break
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}
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}
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if(failed){
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continue
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}
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}
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if(da.type === 'success' && fallbackIndex !== fallBackModels.length-1 && db.fallbackWhenBlankResponse){
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if(da.result.trim() === ''){
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break
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}
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}
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if(failed){
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continue
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if(da.type !== 'fail' || da.noRetry){
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return {
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...da,
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model: fallBackModels[fallbackIndex]
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}
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}
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}
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if(da.type !== 'fail' || da.noRetry){
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return da
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}
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if(da.failByServerError){
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await sleep(1000)
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if(db.antiServerOverloads){
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trys -= 0.5 // reduce trys by 0.5, so that it will retry twice as much
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if(da.failByServerError){
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await sleep(1000)
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if(db.antiServerOverloads){
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trys -= 0.5 // reduce trys by 0.5, so that it will retry twice as much
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}
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}
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}
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trys += 1
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if(trys > db.requestRetrys){
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return da
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}
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trys += 1
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if(trys > db.requestRetrys){
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if(fallbackIndex === fallBackModels.length-1 || da.model === 'custom'){
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return da
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}
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break
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}
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}
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}
|
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|
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|
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return {
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type: 'fail',
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result: "All models failed"
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}
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}
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@@ -475,7 +505,7 @@ export async function requestChatDataMain(arg:requestDataArgument, model:ModelMo
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targ.useStreaming = db.useStreaming && arg.useStreaming
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targ.continue = arg.continue ?? false
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targ.biasString = arg.biasString ?? []
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targ.aiModel = (model === 'model' ? db.aiModel : db.subModel)
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targ.aiModel = arg.staticModel ? arg.staticModel : (model === 'model' ? db.aiModel : db.subModel)
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targ.multiGen = ((db.genTime > 1 && targ.aiModel.startsWith('gpt') && (!arg.continue)) && (!arg.noMultiGen))
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targ.abortSignal = abortSignal
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targ.modelInfo = getModelInfo(targ.aiModel)
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@@ -486,8 +516,13 @@ export async function requestChatDataMain(arg:requestDataArgument, model:ModelMo
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targ.modelInfo.format = db.customAPIFormat
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targ.customURL = db.forceReplaceUrl
|
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}
|
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if(targ.aiModel.startsWith('xcustom:::')){
|
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const found = db.customModels.find(m => m.id === targ.aiModel)
|
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targ.customURL = found?.url
|
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targ.key = found?.key
|
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}
|
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|
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if(db.seperateModelsForAxModels){
|
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if(db.seperateModelsForAxModels && !arg.staticModel){
|
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if(db.seperateModels[model]){
|
||||
targ.aiModel = db.seperateModels[model]
|
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targ.modelInfo = getModelInfo(targ.aiModel)
|
||||
@@ -512,6 +547,7 @@ export async function requestChatDataMain(arg:requestDataArgument, model:ModelMo
|
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return requestPlugin(targ)
|
||||
case LLMFormat.Ooba:
|
||||
return requestOoba(targ)
|
||||
case LLMFormat.VertexAIGemini:
|
||||
case LLMFormat.GoogleCloud:
|
||||
return requestGoogleCloudVertex(targ)
|
||||
case LLMFormat.Kobold:
|
||||
@@ -746,7 +782,7 @@ async function requestOpenAI(arg:RequestDataArgumentExtended):Promise<requestDat
|
||||
max_tokens: arg.maxTokens,
|
||||
}, ['temperature', 'presence_penalty', 'frequency_penalty', 'top_p'], {}, arg.mode ),
|
||||
headers: {
|
||||
"Authorization": "Bearer " + db.mistralKey,
|
||||
"Authorization": "Bearer " + (arg.key ?? db.mistralKey),
|
||||
},
|
||||
abortSignal: arg.abortSignal,
|
||||
chatId: arg.chatId
|
||||
@@ -919,7 +955,7 @@ async function requestOpenAI(arg:RequestDataArgumentExtended):Promise<requestDat
|
||||
}
|
||||
|
||||
let replacerURL = aiModel === 'openrouter' ? "https://openrouter.ai/api/v1/chat/completions" :
|
||||
(aiModel === 'reverse_proxy') ? (arg.customURL) : ('https://api.openai.com/v1/chat/completions')
|
||||
(arg.customURL) ?? ('https://api.openai.com/v1/chat/completions')
|
||||
|
||||
if(arg.modelInfo?.endpoint){
|
||||
replacerURL = arg.modelInfo.endpoint
|
||||
@@ -949,7 +985,7 @@ async function requestOpenAI(arg:RequestDataArgumentExtended):Promise<requestDat
|
||||
}
|
||||
|
||||
let headers = {
|
||||
"Authorization": "Bearer " + (aiModel === 'reverse_proxy' ? db.proxyKey : (aiModel === 'openrouter' ? db.openrouterKey : db.openAIKey)),
|
||||
"Authorization": "Bearer " + (arg.key ?? (aiModel === 'reverse_proxy' ? db.proxyKey : (aiModel === 'openrouter' ? db.openrouterKey : db.openAIKey))),
|
||||
"Content-Type": "application/json"
|
||||
}
|
||||
|
||||
@@ -1135,8 +1171,23 @@ async function requestOpenAI(arg:RequestDataArgumentExtended):Promise<requestDat
|
||||
}
|
||||
}
|
||||
|
||||
if(aiModel === 'reverse_proxy'){
|
||||
const additionalParams = db.additionalParams
|
||||
if(aiModel === 'reverse_proxy' || aiModel.startsWith('xcustom:::')){
|
||||
let additionalParams = aiModel === 'reverse_proxy' ? db.additionalParams : []
|
||||
|
||||
if(aiModel.startsWith('xcustom:::')){
|
||||
const found = db.customModels.find(m => m.id === aiModel)
|
||||
const params = found?.params
|
||||
if(params){
|
||||
const lines = params.split('\n')
|
||||
for(const line of lines){
|
||||
const split = line.split('=')
|
||||
if(split.length >= 2){
|
||||
additionalParams.push([split[0], split.slice(1).join('=')])
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
for(let i=0;i<additionalParams.length;i++){
|
||||
let key = additionalParams[i][0]
|
||||
let value = additionalParams[i][1]
|
||||
@@ -1346,7 +1397,7 @@ async function requestOpenAILegacyInstruct(arg:RequestDataArgumentExtended):Prom
|
||||
},
|
||||
headers: {
|
||||
"Content-Type": "application/json",
|
||||
"Authorization": "Bearer " + db.openAIKey,
|
||||
"Authorization": "Bearer " + (arg.key ?? db.openAIKey)
|
||||
},
|
||||
chatId: arg.chatId
|
||||
});
|
||||
@@ -1482,7 +1533,7 @@ async function requestOpenAIResponseAPI(arg:RequestDataArgumentExtended):Promise
|
||||
url: "https://api.openai.com/v1/responses",
|
||||
body: body,
|
||||
headers: {
|
||||
"Authorization": "Bearer " + db.openAIKey,
|
||||
"Authorization": "Bearer " + (arg.key ?? db.openAIKey),
|
||||
"Content-Type": "application/json"
|
||||
}
|
||||
})
|
||||
@@ -1497,7 +1548,7 @@ async function requestOpenAIResponseAPI(arg:RequestDataArgumentExtended):Promise
|
||||
body: body,
|
||||
headers: {
|
||||
"Content-Type": "application/json",
|
||||
"Authorization": "Bearer " + db.openAIKey,
|
||||
"Authorization": "Bearer " + (arg.key ?? db.openAIKey),
|
||||
},
|
||||
chatId: arg.chatId
|
||||
});
|
||||
@@ -1613,7 +1664,7 @@ async function requestNovelAI(arg:RequestDataArgumentExtended):Promise<requestDa
|
||||
const da = await globalFetch(aiModel === 'novelai_kayra' ? "https://text.novelai.net/ai/generate" : "https://api.novelai.net/ai/generate", {
|
||||
body: body,
|
||||
headers: {
|
||||
"Authorization": "Bearer " + db.novelai.token
|
||||
"Authorization": "Bearer " + (arg.key ?? db.novelai.token)
|
||||
},
|
||||
abortSignal,
|
||||
chatId: arg.chatId
|
||||
@@ -1873,13 +1924,15 @@ async function requestPlugin(arg:RequestDataArgumentExtended):Promise<requestDat
|
||||
if(!d){
|
||||
return {
|
||||
type: 'fail',
|
||||
result: (language.errors.unknownModel)
|
||||
result: (language.errors.unknownModel),
|
||||
model: 'custom'
|
||||
}
|
||||
}
|
||||
else if(!d.success){
|
||||
return {
|
||||
type: 'fail',
|
||||
result: d.content instanceof ReadableStream ? await (new Response(d.content)).text() : d.content
|
||||
result: d.content instanceof ReadableStream ? await (new Response(d.content)).text() : d.content,
|
||||
model: 'custom'
|
||||
}
|
||||
}
|
||||
else if(d.content instanceof ReadableStream){
|
||||
@@ -1896,20 +1949,23 @@ async function requestPlugin(arg:RequestDataArgumentExtended):Promise<requestDat
|
||||
|
||||
return {
|
||||
type: 'streaming',
|
||||
result: d.content.pipeThrough(piper)
|
||||
result: d.content.pipeThrough(piper),
|
||||
model: 'custom'
|
||||
}
|
||||
}
|
||||
else{
|
||||
return {
|
||||
type: 'success',
|
||||
result: d.content
|
||||
result: d.content,
|
||||
model: 'custom'
|
||||
}
|
||||
}
|
||||
} catch (error) {
|
||||
console.error(error)
|
||||
return {
|
||||
type: 'fail',
|
||||
result: `Plugin Error from ${db.currentPluginProvider}: ` + JSON.stringify(error)
|
||||
result: `Plugin Error from ${db.currentPluginProvider}: ` + JSON.stringify(error),
|
||||
model: 'custom'
|
||||
}
|
||||
}
|
||||
}
|
||||
@@ -2439,15 +2495,10 @@ async function requestGoogleCloudVertex(arg:RequestDataArgumentExtended):Promise
|
||||
const imgHTML = new Image()
|
||||
const id = crypto.randomUUID()
|
||||
imgHTML.src = `data:${part.inlineData.mimeType};base64,${part.inlineData.data}`
|
||||
console.log('decoding', part.inlineData.mimeType, part.inlineData.data, id)
|
||||
console.log('writing')
|
||||
await writeInlayImage(imgHTML, {
|
||||
id: id
|
||||
})
|
||||
console.log(JSON.stringify(rDatas))
|
||||
rDatas[rDatas.length-1] += (`\n{{inlayeddata::${id}}}\n`)
|
||||
console.log(JSON.stringify(rDatas))
|
||||
console.log('done', id)
|
||||
}
|
||||
}
|
||||
}
|
||||
@@ -2774,7 +2825,7 @@ async function requestCohere(arg:RequestDataArgumentExtended):Promise<requestDat
|
||||
url: arg.customURL ?? 'https://api.cohere.com/v1/chat',
|
||||
body: body,
|
||||
headers: {
|
||||
"Authorization": "Bearer " + db.cohereAPIKey,
|
||||
"Authorization": "Bearer " + (arg.key ?? db.cohereAPIKey),
|
||||
"Content-Type": "application/json"
|
||||
}
|
||||
})
|
||||
@@ -2784,7 +2835,7 @@ async function requestCohere(arg:RequestDataArgumentExtended):Promise<requestDat
|
||||
const res = await globalFetch(arg.customURL ?? 'https://api.cohere.com/v1/chat', {
|
||||
method: "POST",
|
||||
headers: {
|
||||
"Authorization": "Bearer " + db.cohereAPIKey,
|
||||
"Authorization": "Bearer " + (arg.key ?? db.cohereAPIKey),
|
||||
"Content-Type": "application/json"
|
||||
},
|
||||
body: body
|
||||
@@ -2817,7 +2868,7 @@ async function requestClaude(arg:RequestDataArgumentExtended):Promise<requestDat
|
||||
const db = getDatabase()
|
||||
const aiModel = arg.aiModel
|
||||
const useStreaming = arg.useStreaming
|
||||
let replacerURL = (aiModel === 'reverse_proxy') ? (arg.customURL) : ('https://api.anthropic.com/v1/messages')
|
||||
let replacerURL = arg.customURL ?? ('https://api.anthropic.com/v1/messages')
|
||||
let apiKey = (aiModel === 'reverse_proxy') ? db.proxyKey : db.claudeAPIKey
|
||||
const maxTokens = arg.maxTokens
|
||||
if(aiModel === 'reverse_proxy' && db.autofillRequestUrl){
|
||||
|
||||
@@ -12,7 +12,7 @@ import { defaultColorScheme, type ColorScheme } from '../gui/colorscheme';
|
||||
import type { PromptItem, PromptSettings } from '../process/prompt';
|
||||
import type { OobaChatCompletionRequestParams } from '../model/ooba';
|
||||
|
||||
export let appVer = "156.0.0"
|
||||
export let appVer = "158.1.0"
|
||||
export let webAppSubVer = ''
|
||||
|
||||
|
||||
@@ -498,6 +498,21 @@ export function setDatabase(data:Database){
|
||||
data.doNotChangeSeperateModels ??= false
|
||||
data.modelTools ??= []
|
||||
data.hotkeys ??= structuredClone(defaultHotkeys)
|
||||
data.fallbackModels ??= {
|
||||
memory: [],
|
||||
emotion: [],
|
||||
translate: [],
|
||||
otherAx: [],
|
||||
model: []
|
||||
}
|
||||
data.fallbackModels = {
|
||||
model: data.fallbackModels.model.filter((v) => v !== ''),
|
||||
memory: data.fallbackModels.memory.filter((v) => v !== ''),
|
||||
emotion: data.fallbackModels.emotion.filter((v) => v !== ''),
|
||||
translate: data.fallbackModels.translate.filter((v) => v !== ''),
|
||||
otherAx: data.fallbackModels.otherAx.filter((v) => v !== '')
|
||||
}
|
||||
data.customModels ??= []
|
||||
changeLanguage(data.language)
|
||||
setDatabaseLite(data)
|
||||
}
|
||||
@@ -945,6 +960,26 @@ export interface Database{
|
||||
doNotChangeSeperateModels:boolean
|
||||
modelTools: string[]
|
||||
hotkeys:Hotkey[]
|
||||
fallbackModels: {
|
||||
memory: string[],
|
||||
emotion: string[],
|
||||
translate: string[],
|
||||
otherAx: string[]
|
||||
model: string[]
|
||||
}
|
||||
doNotChangeFallbackModels: boolean
|
||||
fallbackWhenBlankResponse: boolean
|
||||
customModels: {
|
||||
id: string
|
||||
internalId: string
|
||||
url: string
|
||||
format: LLMFormat
|
||||
tokenizer: LLMTokenizer
|
||||
key: string
|
||||
name: string
|
||||
params: string
|
||||
flags: LLMFlags[]
|
||||
}[]
|
||||
}
|
||||
|
||||
interface SeparateParameters{
|
||||
@@ -1288,6 +1323,14 @@ export interface botPreset{
|
||||
otherAx: string
|
||||
}
|
||||
modelTools?:string[]
|
||||
fallbackModels?: {
|
||||
memory: string[],
|
||||
emotion: string[],
|
||||
translate: string[],
|
||||
otherAx: string[]
|
||||
model: string[]
|
||||
}
|
||||
fallbackWhenBlankResponse?: boolean
|
||||
}
|
||||
|
||||
|
||||
@@ -1608,6 +1651,8 @@ export function saveCurrentPreset(){
|
||||
seperateModelsForAxModels: db.doNotChangeSeperateModels ? false : db.seperateModelsForAxModels ?? false,
|
||||
seperateModels: db.doNotChangeSeperateModels ? null : safeStructuredClone(db.seperateModels),
|
||||
modelTools: safeStructuredClone(db.modelTools),
|
||||
fallbackModels: safeStructuredClone(db.fallbackModels),
|
||||
fallbackWhenBlankResponse: db.fallbackWhenBlankResponse ?? false,
|
||||
}
|
||||
db.botPresets = pres
|
||||
setDatabase(db)
|
||||
@@ -1729,6 +1774,16 @@ export function setPreset(db:Database, newPres: botPreset){
|
||||
otherAx: ''
|
||||
}
|
||||
}
|
||||
if(!db.doNotChangeFallbackModels){
|
||||
db.fallbackModels = safeStructuredClone(newPres.fallbackModels) ?? {
|
||||
memory: [],
|
||||
emotion: [],
|
||||
translate: [],
|
||||
otherAx: [],
|
||||
model: []
|
||||
}
|
||||
db.fallbackWhenBlankResponse = newPres.fallbackWhenBlankResponse ?? false
|
||||
}
|
||||
db.modelTools = safeStructuredClone(newPres.modelTools ?? [])
|
||||
|
||||
return db
|
||||
@@ -1741,7 +1796,7 @@ import type { RisuModule } from '../process/modules';
|
||||
import type { SerializableHypaV2Data } from '../process/memory/hypav2';
|
||||
import { decodeRPack, encodeRPack } from '../rpack/rpack_bg';
|
||||
import { DBState, selectedCharID } from '../stores.svelte';
|
||||
import { LLMFlags, LLMFormat } from '../model/modellist';
|
||||
import { LLMFlags, LLMFormat, LLMTokenizer } from '../model/modellist';
|
||||
import type { Parameter } from '../process/request';
|
||||
import type { HypaModel } from '../process/memory/hypamemory';
|
||||
import type { SerializableHypaV3Data } from '../process/memory/hypav3';
|
||||
|
||||
@@ -276,7 +276,7 @@ export async function translateHTML(html: string, reverse:boolean, charArg:simpl
|
||||
if(db.translatorType === 'llm'){
|
||||
const tr = db.translator || 'en'
|
||||
const from = db.translatorInputLanguage
|
||||
const r = translateLLM(html, {to: tr, from: from, regenerate})
|
||||
const r = await translateLLM(html, {to: tr, from: from, regenerate})
|
||||
if(db.playMessageOnTranslateEnd){
|
||||
const audio = new Audio(sendSound);
|
||||
audio.play();
|
||||
|
||||
Reference in New Issue
Block a user