update

src/app/api/llm/__tests__/route.test.ts

@@ -479,6 +479,11 @@ describe("/api/llm route", () => {
         provider: "popiserver",
         model: "kimi-k2.6",
         images: ["https://static.popi.art/uploads/input.png"],
+        parameters: {
+          temperature: 0.7,
+          maxTokens: 8192,
+          max_tokens: 8192,
+        },
       });
 
       const response = await POST(request);
@@ -492,6 +497,8 @@ describe("/api/llm route", () => {
         expect.objectContaining({
           method: "POST",
           body: JSON.stringify({
+            maxTokens: 8192,
+            max_tokens: 8192,
             messages: [
               { role: "system", content: "You are a helpful assistant." },
               {

src/app/api/llm/route.ts

@@ -45,9 +45,14 @@ const NEWAPIWG_LLM_MODEL_ALIASES: Record<string, string> = {
 };
 
 const POPISERVER_LLM_MODEL_IDS: Record<string, number> = {
+  "doubao-seed-2-0-lite-260428": 31,
   "kimi-k2.6": 31,
 };
 
+function isPopiserverKimiModel(modelId: string): boolean {
+  return modelId === "kimi-k2.6" || modelId === "31";
+}
+
 type PopiserverLlmResponse = {
   status?: string;
   message?: string;
@@ -339,6 +344,10 @@ async function generateWithPopiserver(
 ): Promise<string> {
   const modelId = model || "kimi-k2.6";
   const content = buildChatContent(prompt, images, videos);
+  const bodyParameters = { ...(parameters || {}) };
+  if (isPopiserverKimiModel(modelId)) {
+    delete bodyParameters.temperature;
+  }
   const url = `${getPopiserverBaseUrl(request)}/api_client/anime/task/llmChat`;
   const init: RequestInit = {
     method: "POST",
@@ -347,7 +356,7 @@ async function generateWithPopiserver(
       "Content-Type": "application/json",
     },
     body: JSON.stringify({
-      ...(parameters || {}),
+      ...bodyParameters,
       messages: [
         { role: "system", content: "You are a helpful assistant." },
         { role: "user", content },

src/lib/__tests__/llmModels.test.ts

@@ -6,8 +6,12 @@ describe("LLM model options", () => {
     expect(DEFAULT_NEWAPIWG_LLM_MODEL_ID).toBe("doubao-seed-2-0-lite-260428");
   });
 
-  it("defaults PopiServer text generation to Kimi K2.6", () => {
+  it("defaults PopiServer text generation to Doubao Seed 2.0 Lite", () => {
-    expect(DEFAULT_POPISERVER_LLM_MODEL_ID).toBe("kimi-k2.6");
+    expect(DEFAULT_POPISERVER_LLM_MODEL_ID).toBe("doubao-seed-2-0-lite-260428");
+    expect(LLM_MODELS.popiserver).toContainEqual({
+      value: "doubao-seed-2-0-lite-260428",
+      label: "Doubao Seed 2.0 Lite",
+    });
     expect(LLM_MODELS.popiserver).toContainEqual({
       value: "kimi-k2.6",
       label: "Kimi K2.6",

src/lib/llmModels.ts

@@ -25,7 +25,8 @@ export const LLM_PROVIDERS: { value: LLMProvider; label: string }[] =
 
 export const LLM_MODELS: Record<LLMProvider, LLMModelOption[]> = {
   popiserver: [
-    { value: DEFAULT_POPISERVER_LLM_MODEL_ID, label: "Kimi K2.6" },
+    { value: DEFAULT_POPISERVER_LLM_MODEL_ID, label: "Doubao Seed 2.0 Lite" },
+    { value: "kimi-k2.6", label: "Kimi K2.6" },
   ],
   newapiwg: [
     { value: "doubao-seed-2-0-lite-260428", label: "Doubao Seed 2.0 Lite" },

src/store/execution/__tests__/llmGenerateExecutor.test.ts

@@ -247,6 +247,8 @@ describe("executeLlmGenerate", () => {
     const body = JSON.parse(mockFetch.mock.calls[1][1].body);
     expect(body.provider).toBe("popiserver");
     expect(body.images).toEqual(["https://static.popi.art/uploads/input.png"]);
+    expect(body.temperature).toBeUndefined();
+    expect(body.parameters.temperature).toBeUndefined();
   });
 
   it("should not include images field when none connected", async () => {

src/store/execution/llmGenerateExecutor.ts

@@ -18,6 +18,7 @@ import { runWithFallback } from "./runWithFallback";
 import type { NodeExecutionContext } from "./types";
 import { mergeConfiguredParameters } from "./generationParameters";
 import { uploadPopiserverMediaForGeneration } from "@/utils/temporaryImageUpload";
+import { DEFAULT_POPISERVER_LLM_MODEL_ID } from "@/lib/llmModels";
 
 export interface LlmGenerateOptions {
   /** When true, falls back to stored inputImages/inputPrompt if no connections provide them. */
@@ -53,6 +54,10 @@ function asNumber(value: unknown): number | undefined {
   return undefined;
 }
 
+function isKimiModel(modelId: string): boolean {
+  return modelId === "kimi-k2.6" || modelId === "31";
+}
+
 export async function executeLlmGenerate(
   ctx: NodeExecutionContext,
   options: LlmGenerateOptions = {}
@@ -104,14 +109,19 @@ export async function executeLlmGenerate(
     const llmModel = modelToUse.modelId as LLMModelType;
     const aiModelId = asNumber(modelToUse.metadata?.aiModelId);
     const headers = buildLlmHeaders(llmProvider, providerSettings);
+    const omitTemperature = llmProvider === "popiserver" && isKimiModel(llmModel);
 
     const temperature = (parametersOverride?.temperature as number | undefined) ?? nodeData.temperature;
     const maxTokens = (parametersOverride?.maxTokens as number | undefined) ?? nodeData.maxTokens;
-    const effectiveParameters = mergeConfiguredParameters(parametersOverride, {
+    const effectiveParameters = mergeConfiguredParameters(
-      temperature,
+      parametersOverride,
-      maxTokens,
+      omitTemperature
-      max_tokens: maxTokens,
+        ? { maxTokens, max_tokens: maxTokens }
-    });
+        : { temperature, maxTokens, max_tokens: maxTokens }
+    );
+    if (omitTemperature) {
+      delete effectiveParameters.temperature;
+    }
 
     try {
       const preparedMedia = llmProvider === "popiserver"
@@ -133,7 +143,7 @@ export async function executeLlmGenerate(
           provider: llmProvider,
           model: llmModel,
           ...(aiModelId !== undefined && { aiModelId }),
-          temperature,
+          ...(!omitTemperature && { temperature }),
           maxTokens,
           parameters: effectiveParameters,
         }),
@@ -211,10 +221,10 @@ export async function executeLlmGenerate(
   const primaryModel: SelectedModel = {
     provider: primaryProviderType,
     modelId: usePopiserverLlm
-      ? nodeData.selectedModel?.modelId || "kimi-k2.6"
+      ? nodeData.selectedModel?.modelId || DEFAULT_POPISERVER_LLM_MODEL_ID
       : nodeData.model,
     displayName: usePopiserverLlm
-      ? nodeData.selectedModel?.displayName || "Kimi K2.6"
+      ? nodeData.selectedModel?.displayName || "Doubao Seed 2.0 Lite"
       : nodeData.model,
     metadata: usePopiserverLlm ? nodeData.selectedModel?.metadata : undefined,
   };

src/store/utils/defaultImageModel.ts

@@ -10,7 +10,7 @@ const DEFAULT_AUDIO_MODEL_ID = "elevenlabs/turbo-v2.5";
 export const POPISERVER_DEFAULT_IMAGE_MODEL_ID = "gpt-image-2-all";
 export const POPISERVER_DEFAULT_VIDEO_MODEL_ID = "viduq3-turbo";
 export const POPISERVER_DEFAULT_AUDIO_MODEL_ID = "speech-2.8-hd";
-export const POPISERVER_DEFAULT_LLM_MODEL_ID = "kimi-k2.6";
+export const POPISERVER_DEFAULT_LLM_MODEL_ID = "doubao-seed-2-0-lite-260428";
 
 export function createPopiserverDefaultImageModel(): SelectedModel {
   return {

src/utils/popiLlmModels.ts

@@ -21,5 +21,5 @@ export function toPopiLlmOptions(models: ProviderModel[]): LLMModelOption[] {
   }));
   return options.length > 0
     ? options
-    : [{ value: DEFAULT_POPISERVER_LLM_MODEL_ID, label: "Kimi K2.6" }];
+    : [{ value: DEFAULT_POPISERVER_LLM_MODEL_ID, label: "Doubao Seed 2.0 Lite" }];
 }