Add reasoning effort

src/lib/Setting/Pages/BotSettings.svelte

@@ -311,6 +311,11 @@
         <span class="text-textcolor">Repetition penalty</span>
         <SliderInput min={0} max={2} marginBottom step={0.01} fixed={2} bind:value={DBState.db.repetition_penalty} disableable/>
 
+    {/if}
+    {#if modelInfo.parameters.includes('reasoning_effort')}
+        <span class="text-textcolor">Reasoning Effort</span>
+        <SliderInput min={0} max={2} marginBottom step={1} fixed={0} bind:value={DBState.db.reasoningEffort} disableable/>
+
     {/if}
     {#if DBState.db.aiModel === 'textgen_webui' || DBState.db.aiModel === 'mancer' || DBState.db.aiModel.startsWith('local_') || DBState.db.aiModel.startsWith('hf:::')}
         <span class="text-textcolor">Repetition Penalty</span>
@@ -631,6 +636,10 @@
             {@render CustomFlagButton('DeveloperRole', 14)}
             {@render CustomFlagButton('geminiThinking', 15)}
             {@render CustomFlagButton('geminiBlockOff', 16)}
+            {@render CustomFlagButton('deepSeekPrefix', 17)}
+            {@render CustomFlagButton('deepSeekThinkingInput', 18)}
+            {@render CustomFlagButton('deepSeekThinkingOutput', 19)}
+
         {/if}
     </Arcodion>
 

src/ts/model/modellist.ts

@@ -501,7 +501,7 @@ export const LLMModels: LLMModel[] = [
             LLMFlags.hasImageInput,
             LLMFlags.DeveloperRole
         ],
-        parameters: OpenAIParameters,
+        parameters: ['reasoning_effort'],
         tokenizer: LLMTokenizer.tiktokenO200Base
     },
 

src/ts/process/request.ts

@@ -91,7 +91,7 @@ interface OaiFunctions {
 }
 
 
-export type Parameter = 'temperature'|'top_k'|'repetition_penalty'|'min_p'|'top_a'|'top_p'|'frequency_penalty'|'presence_penalty'
+export type Parameter = 'temperature'|'top_k'|'repetition_penalty'|'min_p'|'top_a'|'top_p'|'frequency_penalty'|'presence_penalty'|'reasoning_effort'
 export type ModelModeExtended = 'model'|'submodel'|'memory'|'emotion'|'otherAx'|'translate'
 type ParameterMap = {
     [key in Parameter]?: string;
@@ -101,6 +101,24 @@ function applyParameters(data: { [key: string]: any }, parameters: Parameter[],
     ignoreTopKIfZero?:boolean
 } = {}): { [key: string]: any } {
     const db = getDatabase()
+
+    function getEffort(effort:number){
+        switch(effort){
+            case 0:{
+                return 'low'
+            }
+            case 1:{
+                return 'medium'
+            }
+            case 2:{
+                return 'high'
+            }
+            default:{
+                return 'medium'
+            }
+        }
+    }
+
     if(db.seperateParametersEnabled && ModelMode !== 'model'){
         if(ModelMode === 'submodel'){
             ModelMode = 'otherAx'
@@ -108,7 +126,7 @@ function applyParameters(data: { [key: string]: any }, parameters: Parameter[],
 
         for(const parameter of parameters){
             
-            let value = 0
+            let value:number|string = 0
             if(parameter === 'top_k' && arg.ignoreTopKIfZero && db.seperateParameters[ModelMode][parameter] === 0){
                 continue
             }
@@ -146,6 +164,10 @@ function applyParameters(data: { [key: string]: any }, parameters: Parameter[],
                     value = db.seperateParameters[ModelMode].presence_penalty === -1000 ? -1000 : (db.seperateParameters[ModelMode].presence_penalty / 100)
                     break
                 }
+                case 'reasoning_effort':{
+                    value = getEffort(db.seperateParameters[ModelMode].reasoning_effort)
+                    break
+                }
             }
 
             if(value === -1000 || value === undefined){
@@ -159,7 +181,7 @@ function applyParameters(data: { [key: string]: any }, parameters: Parameter[],
 
 
     for(const parameter of parameters){
-        let value = 0
+        let value:number|string = 0
         if(parameter === 'top_k' && arg.ignoreTopKIfZero && db.top_k === 0){
             continue
         }
@@ -188,6 +210,10 @@ function applyParameters(data: { [key: string]: any }, parameters: Parameter[],
                 value = db.top_p
                 break
             }
+            case 'reasoning_effort':{
+                value = getEffort(db.reasoningEffort)
+                break
+            }
             case 'frequency_penalty':{
                 value = db.frequencyPenalty === -1000 ? -1000 : (db.frequencyPenalty / 100)
                 break
@@ -769,7 +795,7 @@ async function requestOpenAI(arg:RequestDataArgumentExtended):Promise<requestDat
 
     body = applyParameters(
         body,
-        aiModel === 'openrouter' ? ['temperature', 'top_p', 'frequency_penalty', 'presence_penalty', 'repetition_penalty', 'min_p', 'top_a', 'top_k'] : ['temperature', 'top_p', 'frequency_penalty', 'presence_penalty'],
+        arg.modelInfo.parameters,
         {},
         arg.mode
     )

src/ts/storage/database.svelte.ts

@@ -471,6 +471,7 @@ export function setDatabase(data:Database){
     data.showPromptComparison ??= false
     data.checkCorruption ??= true
     data.OaiCompAPIKeys ??= {}
+    data.reasoningEffort ??= 0
     data.hypaV3Settings = {
         memoryTokensRatio: data.hypaV3Settings?.memoryTokensRatio ?? 0.2,
         extraSummarizationRatio: data.hypaV3Settings?.extraSummarizationRatio ?? 0.2,
@@ -896,6 +897,7 @@ export interface Database{
     },
     OaiCompAPIKeys: {[key:string]:string}
     inlayErrorResponse:boolean
+    reasoningEffort:number
 }
 
 interface SeparateParameters{
@@ -907,6 +909,7 @@ interface SeparateParameters{
     top_p?:number
     frequency_penalty?:number
     presence_penalty?:number
+    reasoning_effort?:number
 }
 
 export interface customscript{
@@ -1219,6 +1222,7 @@ export interface botPreset{
     customFlags?: LLMFlags[]
     image?:string
     regex?:customscript[]
+    reasonEffort?:number
 }
 
 
@@ -1524,6 +1528,7 @@ export function saveCurrentPreset(){
         enableCustomFlags: db.enableCustomFlags,
         regex: db.presetRegex,
         image: pres?.[db.botPresetsId]?.image ?? '',
+        reasonEffort: db.reasoningEffort ?? 0,
     }
     db.botPresets = pres
     setDatabase(db)
@@ -1633,6 +1638,7 @@ export function setPreset(db:Database, newPres: botPreset){
     db.customFlags = safeStructuredClone(newPres.customFlags) ?? []
     db.enableCustomFlags = newPres.enableCustomFlags ?? false
     db.presetRegex = newPres.regex ?? []
+    db.reasoningEffort = newPres.reasonEffort ?? 0
     return db
 }
 
@@ -1660,11 +1666,6 @@ export async function downloadPreset(id:number, type:'json'|'risupreset'|'return
     pres.textgenWebUIStreamURL=  ''
     pres.textgenWebUIBlockingURL=  ''
 
-    if((pres.image || pres.regex?.length > 0) && type !== 'return'){
-        alertError("Preset with image or regexes cannot be exported for now. use RisuRealm to share the preset.")
-        return
-    }
-
     if(type === 'json'){
         downloadFile(pres.name + "_preset.json", Buffer.from(JSON.stringify(pres, null, 2)))
     }