使用 dsflash 和 doubao-seed-2.1

client/src/components/ai/PromptPanel.vue

@@ -146,11 +146,10 @@ const messagesRef = ref<HTMLElement>()
 const naiveMessage = useMessage()
 
 const modelOptions = [
-  { label: "豆包", value: "doubao-seed-2-0-lite-260215" },
-  { label: "DeepSeek", value: "deepseek-v4-flash" },
-  { label: "DeepSeek(思考)", value: "deepseek-v4-flash-thinking" },
+  { label: "豆包", value: "doubao-seed-2-1-lite-260915" },
+  { label: "DeepSeek", value: "deepseek-flash" },
 ]
-const selectedModel = useStorage("prompt-model", "deepseek-v4-flash")
+const selectedModel = useStorage("prompt-model", "deepseek-flash")
 
 // Group messages into user+assistant pairs
 const submittingId = ref<number | null>(null)

server/.env.example

@@ -16,7 +16,7 @@ ENV=dev
 # JWT_SECRET=
 
 LLM_API_KEY=
-LLM_MODEL=deepseek-v4-flash
+LLM_MODEL=deepseek-flash
 # LLM_BASE_URL=https://api.deepseek.com
 ARK_API_KEY=
 # ARK_BASE_URL=https://ark.cn-beijing.volces.com/api/v3

server/src/config.ts

@@ -28,7 +28,7 @@ export const config = {
   // 测试时不调用真实的模型接口
   llmApiKey: env.NODE_ENV === "test" ? "" : (env.LLM_API_KEY ?? ""),
   llmBaseUrl: env.LLM_BASE_URL ?? "https://api.deepseek.com",
-  llmModel: env.LLM_MODEL ?? "deepseek-v4-flash",
+  llmModel: env.LLM_MODEL ?? "deepseek-flash",
   arkApiKey: env.NODE_ENV === "test" ? "" : (env.ARK_API_KEY ?? ""),
   arkBaseUrl: env.ARK_BASE_URL ?? "https://ark.cn-beijing.volces.com/api/v3",
 }

server/src/services/llm.ts

@@ -46,13 +46,9 @@ export const GUIDANCE_SYSTEM_PROMPT = `你是一个提示词写作教练，帮
 5. 如果回复以 [READY] 开头，[READY] 不要加粗，必须保持原始文本
 6. 不要生成任何代码`
 
-const DEFAULT_MODEL = "deepseek-v4-flash"
-const MODEL_ALIASES: Record<string, string> = {
-  "deepseek-v4-flash-thinking": DEFAULT_MODEL,
-}
-const NON_THINKING_MODELS = new Set(["deepseek-v4-flash"])
+const DEFAULT_MODEL = "deepseek-flash"
 // 走火山方舟（ARK）接口的模型
-const ARK_MODELS = new Set(["doubao-seed-2-0-lite-260215"])
+const ARK_MODELS = new Set(["doubao-seed-2-1-lite-260915"])
 
 export interface ChatMessage {
   role: "system" | "user" | "assistant"
@@ -70,18 +66,14 @@ interface CompletionOptions {
 export const llmConfigured = () => !!config.llmApiKey
 
 function buildRequest(messages: ChatMessage[], opts: CompletionOptions) {
-  const requested = opts.model || DEFAULT_MODEL
-  const resolved = MODEL_ALIASES[requested] ?? requested
-  const ark = ARK_MODELS.has(resolved)
+  const model = opts.model || DEFAULT_MODEL
+  const ark = ARK_MODELS.has(model)
   const body: Record<string, unknown> = {
-    model: resolved,
+    model,
     messages,
     stream: opts.stream,
   }
   if (opts.maxTokens) body.max_tokens = opts.maxTokens
-  if (NON_THINKING_MODELS.has(resolved) && !(requested in MODEL_ALIASES)) {
-    body.thinking = { type: "disabled" }
-  }
   const apiKey = ark ? config.arkApiKey : config.llmApiKey
   if (!apiKey) throw new Error("未配置模型接口密钥")
   const baseUrl = (ark ? config.arkBaseUrl : config.llmBaseUrl).replace(/\/$/, "")