diff --git a/src-tauri/src/asr.rs b/src-tauri/src/asr.rs
index 8326e97..b491c4b 100644
--- a/src-tauri/src/asr.rs
+++ b/src-tauri/src/asr.rs
@@ -70,11 +70,19 @@ pub async fn transcribe(
         .timeout(Duration::from_secs(60))
         .build()?;
 
-    // 1) submit
+    // 1) submit — filetrans 用 file_url，其它模型用 file_urls
+    let input = if model == "qwen3-asr-flash-filetrans" {
+        json!({ "file_url": audio_url })
+    } else {
+        json!({ "file_urls": [audio_url] })
+    };
     let submit_body = json!({
         "model": model,
-        "input": { "file_urls": [audio_url] },
-        "parameters": {}
+        "input": input,
+        "parameters": {
+            "channel_id": [0],
+            "enable_itn": false
+        }
     });
     let submit: Value = client
         .post(SUBMIT_URL)
@@ -124,10 +132,15 @@ pub async fn transcribe(
         return Err(AsrError::Timeout);
     }
 
-    // 3) fetch transcription file
+    // 3) fetch transcription file (filetrans: output.result; batch: output.results[0])
     let trans_url = poll_resp
-        .pointer("/output/results/0/transcription_url")
+        .pointer("/output/result/transcription_url")
         .and_then(Value::as_str)
+        .or_else(|| {
+            poll_resp
+                .pointer("/output/results/0/transcription_url")
+                .and_then(Value::as_str)
+        })
         .ok_or_else(|| AsrError::Api(format!("no transcription_url, raw={poll_resp}")))?
         .to_string();
     let trans_json: Value = client.get(&trans_url).send().await?.json().await?;
diff --git a/src/components/workflow/StepScriptEditor.vue b/src/components/workflow/StepScriptEditor.vue
index d464f29..1ae1fc7 100644
--- a/src/components/workflow/StepScriptEditor.vue
+++ b/src/components/workflow/StepScriptEditor.vue
@@ -1,9 +1,23 @@
 <script setup>
+import { ref } from "vue";
 import { storeToRefs } from "pinia";
 import { useWorkflowStore } from "../../stores/workflow.js";
 
 const workflow = useWorkflowStore();
-const { scriptContent, editLanguage, editWordCount } = storeToRefs(workflow);
+const { scriptContent, editLanguage, editWordCount, scriptGenerating } =
+  storeToRefs(workflow);
+
+const feedback = ref({ severity: "", message: "" });
+
+async function onGenerateScript() {
+  feedback.value = { severity: "", message: "" };
+  const result = await workflow.generateScript();
+  if (result.ok) {
+    feedback.value = { severity: "success", message: result.message };
+  } else {
+    feedback.value = { severity: "error", message: result.message };
+  }
+}
 </script>
 
 <template>
@@ -34,10 +48,23 @@ const { scriptContent, editLanguage, editWordCount } = storeToRefs(workflow);
           class="min-w-36 shrink-0 ml-10"
         />
       </div>
-      <div class="flex gap-2 pt-1">
-        <Button label="撰写文案" size="small" />
+      <div class="flex flex-wrap items-center gap-2 pt-1">
+        <Button
+          label="撰写文案"
+          size="small"
+          :loading="scriptGenerating"
+          :disabled="scriptGenerating"
+          @click="onGenerateScript"
+        />
         <Button label="AI法务" size="small" severity="secondary" />
       </div>
+      <p
+        v-if="feedback.message"
+        class="text-sm"
+        :class="feedback.severity === 'error' ? 'text-red-400' : 'text-emerald-400'"
+      >
+        {{ feedback.message }}
+      </p>
     </div>
   </DashboardCard>
 </template>
diff --git a/src/config/videoPipeline.js b/src/config/videoPipeline.js
index d83386d..5ea3dd6 100644
--- a/src/config/videoPipeline.js
+++ b/src/config/videoPipeline.js
@@ -5,20 +5,12 @@
 
 import { invoke } from "@tauri-apps/api/core";
 
-/** @returns {Promise<{ ok: true } | { ok: false, message: string }>} */
-export async function ensureAppConfigReady() {
+/** @returns {Promise<{ ok: true, map: Record<string, string> } | { ok: false, message: string }>} */
+export async function loadAppConfigMap() {
   try {
     const map = await invoke("get_app_config");
     if (map && typeof map === "object" && Object.keys(map).length > 0) {
-      const apiKey =map.BAILIAN_API_KEY ;
-      if (!apiKey) {
-        return {
-          ok: false,
-          message:
-            "缺少 BAILIAN_API_KEY 配置管理 或侧栏「本地配置」中设置",
-        };
-      }
-      return { ok: true };
+      return { ok: true, map };
     }
     const serverMsg = await invoke("get_app_config_last_message");
     if (serverMsg) {
@@ -26,7 +18,7 @@ export async function ensureAppConfigReady() {
     }
     return {
       ok: false,
-      message: "未获取到应用配置，请登录服务端或在「本地配置」中添加 LLM_API_KEY",
+      message: "未获取到应用配置，请登录服务端或在「本地配置」中添加密钥",
     };
   } catch {
     return {
@@ -36,6 +28,43 @@ export async function ensureAppConfigReady() {
   }
 }
 
+/** 一键仿写 / 在线 ASR 等需百炼密钥 */
+export async function ensureAppConfigReady() {
+  const loaded = await loadAppConfigMap();
+  if (!loaded.ok) return loaded;
+  const apiKey = loaded.map.BAILIAN_API_KEY || loaded.map.DASHSCOPE_API_KEY;
+  if (!apiKey) {
+    return {
+      ok: false,
+      message:
+        "缺少 BAILIAN_API_KEY（或 DASHSCOPE_API_KEY），请在配置管理或「本地配置」中设置",
+    };
+  }
+  return { ok: true };
+}
+
+/** 撰写文案 / LLM 改写需文本模型配置 */
+export async function ensureLlmConfigReady() {
+  const loaded = await loadAppConfigMap();
+  if (!loaded.ok) return loaded;
+  const { map } = loaded;
+  const apiKey = map.LLM_API_KEY || map.API_KEY;
+  const apiUrl = map.LLM_BASE_URL || map.LLM_API_URL;
+  if (!apiKey) {
+    return {
+      ok: false,
+      message: "缺少 LLM_API_KEY，请在配置管理或「本地配置」中设置文本模型",
+    };
+  }
+  if (!apiUrl) {
+    return {
+      ok: false,
+      message: "缺少 LLM_BASE_URL（或 LLM_API_URL），请配置文本模型接口地址",
+    };
+  }
+  return { ok: true };
+}
+
 const DOUYIN_RE = /douyin\.com|iesdouyin\.com|v\.douyin\.com/i;
 const DIRECT_VIDEO_RE = /\.(mp4|mov|m4v|webm|mkv|flv|avi)(\?|$)/i;
 
diff --git a/src/stores/workflow.js b/src/stores/workflow.js
index a0e93b1..36348b8 100644
--- a/src/stores/workflow.js
+++ b/src/stores/workflow.js
@@ -8,6 +8,8 @@ import {
 
   ensureAppConfigReady,
 
+  ensureLlmConfigReady,
+
   validateShareText,
 
   DEFAULT_REWRITE_CONFIG,
@@ -17,6 +19,7 @@ import {
 
 
 const PIPELINE_SCRIPT = "douyin_pipeline.js";
+const SCRIPT_GENERATE = "script_generate.js";
 const NODEJS_EVENT = "nodejs:event";
 
 
@@ -61,6 +64,8 @@ export const useWorkflowStore = defineStore("workflow", {
 
     videoRewriting: false,
 
+    scriptGenerating: false,
+
     /** 流水线进度文案（来自 quickjs:event progress） */
 
     rewriteProgress: "",
@@ -315,7 +320,11 @@ export const useWorkflowStore = defineStore("workflow", {
 
     },
 
+    async generateScript() {
 
+      return executeGenerateScript(this);
+
+    },
 
     resetAll() {
 
@@ -431,7 +440,91 @@ export async function executeVideoRewrite(store) {
   }
 }
 
+const DEFAULT_SCRIPT_PROMPT = `请基于以下视频原文案，创作一个新的仿写文案：
 
+原文案：{{content}}
+
+要求：
+1. 保持原文案的核心内容和风格
+2. 适当改变表达方式和用词
+3. 确保新文案通顺自然
+4. 长度约{{count}}字
+
+请直接输出仿写后的文案：`;
+
+/**
+ * 构建撰写文案提示词（对齐 zhenqianba generateScriptFromVideoContent）
+ * @param {ReturnType<typeof useWorkflowStore>} store
+ */
+export function buildScriptGeneratePrompt(store) {
+  const content = String(store.recognizedContent || "").trim();
+  const count = store.editWordCount || 300;
+  let prompt = String(store.rewritePrompt || "").trim();
+  if (!prompt) {
+    prompt = DEFAULT_SCRIPT_PROMPT;
+  }
+  prompt = prompt
+    .replace(/\{\{content\}\}/g, content)
+    .replace(/\{content\}/g, content)
+    .replace(/\{\{count\}\}/g, String(count))
+    .replace(/\{count\}/g, String(count));
+
+  const lang = store.editLanguage || "";
+  if (lang && lang !== "中文（普通话）") {
+    prompt = `请用${lang}输出文案。\n\n${prompt}`;
+  }
+  return prompt;
+}
+
+/**
+ * 撰写文案：基于识别的原始内容调用 LLM（对齐 Electron ki）
+ * @param {ReturnType<typeof useWorkflowStore>} store
+ */
+export async function executeGenerateScript(store) {
+  const content = String(store.recognizedContent || "").trim();
+  if (!content) {
+    return { ok: false, message: "请先使用智能视频仿写功能识别视频内容" };
+  }
+
+  const cfgReady = await ensureLlmConfigReady();
+  if (!cfgReady.ok) {
+    return { ok: false, message: cfgReady.message };
+  }
+
+  const userPrompt = buildScriptGeneratePrompt(store);
+  store.scriptGenerating = true;
+
+  try {
+    const result = await invoke("run_nodejs_script", {
+      scriptName: SCRIPT_GENERATE,
+      params: {
+        messages: [
+          {
+            role: "system",
+            content:
+              "你是专业的短视频文案改写助手。请把用户提供的文案改写，保持原文的风格和主题，但使用不同的表达方式。",
+          },
+          { role: "user", content: userPrompt },
+        ],
+        temperature: 0.8,
+        max_tokens: 2000,
+      },
+    });
+
+    if (!result?.success || !result?.content) {
+      const err = result?.error || "文案仿写失败，请重试";
+      return { ok: false, message: String(err) };
+    }
+
+    store.scriptContent = String(result.content).trim();
+    return { ok: true, message: "文案仿写完成" };
+  } catch (err) {
+    const msg = err instanceof Error ? err.message : String(err || "未知错误");
+    return { ok: false, message: `文案仿写失败: ${msg}` };
+  } finally {
+    store.scriptGenerating = false;
+  }
+}
 
 const UNSUPPORTED_PLATFORM_RULES = [