a

docs/api_expert_generate_3_open.md

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+# 智能提示词优化3号专家 - 对外接口文档
+
+供 Android 等外部应用调用的 REST API。
+
+## 接口地址
+
+```
+POST http://101.43.95.130:5002/api/open/expert-generate-3
+```
+
+## 请求
+
+- **Method**: POST
+- **Content-Type**: application/json
+
+### 请求体参数
+
+| 参数 | 类型 | 必填 | 说明 |
+|------|------|------|------|
+| input_text | string | 是 | 用户需求描述 |
+| temperature | number | 否 | 生成随机性，0-2，默认 0.7 |
+| max_tokens | int | 否 | 最大生成 token 数，100-4000，默认 1000 |
+| timeout | int | 否 | 超时时间（秒），10-300，默认 60 |
+| uid | int | 否 | 用户ID，用于历史记录归属，不传则使用默认用户 |
+
+### 示例
+
+```json
+{
+  "input_text": "android内存溢出分析",
+  "temperature": 0.7,
+  "max_tokens": 1000,
+  "timeout": 60,
+  "uid": 1
+}
+```
+
+## 响应
+
+### 成功 (code=200)
+
+```json
+{
+  "code": 200,
+  "message": "success",
+  "data": {
+    "intent_analysis": {
+      "core_intent": "技术",
+      "domain": "xxx",
+      "key_requirements": ["..."],
+      "expected_output": "...",
+      "constraints": ["..."]
+    },
+    "generated_prompt": "生成的完整提示词文本"
+  }
+}
+```
+
+### 失败
+
+```json
+{
+  "code": 400,
+  "message": "错误描述",
+  "data": null
+}
+```
+
+常见 code：400 参数错误，429 重复提交，500 服务器错误。
+
+## Android 调用示例 (Kotlin + Retrofit)
+
+```kotlin
+// 请求体
+data class ExpertGenerate3Request(
+    val input_text: String,
+    val temperature: Float? = 0.7f,
+    val max_tokens: Int? = 1000,
+    val timeout: Int? = 60,
+    val uid: Int? = null
+)
+
+// 响应体
+data class ExpertGenerate3Response(
+    val code: Int,
+    val message: String,
+    val data: Data?
+)
+data class Data(
+    val intent_analysis: IntentAnalysis,
+    val generated_prompt: String
+)
+
+// 使用
+val api = Retrofit.Builder()
+    .baseUrl("http://101.43.95.130:5002/")
+    .addConverterFactory(GsonConverterFactory.create())
+    .build()
+    .create(YourApi::class.java)
+
+api.expertGenerate3(ExpertGenerate3Request(input_text = "android内存溢出分析"))
+```
+
+## 注意事项
+
+- 项目已启用 CORS，支持跨域调用
+- 对外接口不做 8 秒内重复提交校验，由客户端自行控制
+- 建议在客户端增加防重复点击、超时重试等逻辑

exampleAiApp01/README.md

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+# 提示词智能优化 Android App
+
+调用提示词大师 3 号专家接口，实现智能提示词生成。
+
+## 环境
+
+- Android Studio（推荐使用 AGP 8.7+、Gradle 8.9）
+- minSdk 24，targetSdk 34
+- Java 17
+
+## 接口
+
+- 地址：`POST http://101.43.95.130:5002/api/open/expert-generate-3`
+- 参数：`input_text`（必填）、`temperature`、`max_tokens`、`timeout`、`uid`
+
+## 构建
+
+```bash
+cd exampleAiApp01
+./gradlew assembleDebug
+```
+
+或在 Android Studio 中打开 `exampleAiApp01` 目录，直接运行到真机或模拟器。
+
+## 注意事项
+
+- 需配置网络权限，并允许明文 HTTP（101.43.95.130 为 HTTP）
+- 确保设备可访问 `101.43.95.130:5002`
+- 如缺少启动图标，可在 Android Studio 中通过 `File > New > Image Asset` 生成

exampleAiApp01/app/build.gradle.kts

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+plugins {
+    id("com.android.application")
+}
+
+android {
+    namespace = "com.example.promptoptimizer"
+    compileSdk = 34
+
+    defaultConfig {
+        applicationId = "com.example.promptoptimizer"
+        minSdk = 24
+        targetSdk = 34
+        versionCode = 1
+        versionName = "1.0"
+    }
+
+    buildTypes {
+        release {
+            isMinifyEnabled = false
+            proguardFiles(
+                getDefaultProguardFile("proguard-android-optimize.txt"),
+                "proguard-rules.pro"
+            )
+        }
+    }
+    compileOptions {
+        sourceCompatibility = JavaVersion.VERSION_17
+        targetCompatibility = JavaVersion.VERSION_17
+    }
+    buildFeatures {
+        viewBinding = true
+    }
+}
+
+dependencies {
+    implementation("androidx.core:core-ktx:1.12.0")
+    implementation("androidx.appcompat:appcompat:1.6.1")
+    implementation("com.google.android.material:material:1.11.0")
+    implementation("androidx.constraintlayout:constraintlayout:2.1.4")
+
+    // Retrofit
+    implementation("com.squareup.retrofit2:retrofit:2.9.0")
+    implementation("com.squareup.retrofit2:converter-gson:2.9.0")
+    implementation("com.squareup.okhttp3:logging-interceptor:4.12.0")
+}
+

exampleAiApp01/app/proguard-rules.pro

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+-keepattributes Signature
+-keepattributes *Annotation*
+-keep class com.example.promptoptimizer.api.** { *; }

exampleAiApp01/app/src/main/AndroidManifest.xml

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+<?xml version="1.0" encoding="utf-8"?>
+<manifest xmlns:android="http://schemas.android.com/apk/res/android">
+    <uses-permission android:name="android.permission.INTERNET" />
+
+    <application
+        android:allowBackup="true"
+        android:icon="@mipmap/ic_launcher"
+        android:label="@string/app_name"
+        android:roundIcon="@mipmap/ic_launcher_round"
+        android:supportsRtl="true"
+        android:theme="@style/Theme.PromptOptimizer"
+        android:usesCleartextTraffic="true">
+        <activity
+            android:name=".MainActivity"
+            android:exported="true"
+            android:theme="@style/Theme.PromptOptimizer">
+            <intent-filter>
+                <action android:name="android.intent.action.MAIN" />
+                <category android:name="android.intent.category.LAUNCHER" />
+            </intent-filter>
+        </activity>
+    </application>
+</manifest>

exampleAiApp01/app/src/main/java/com/example/promptoptimizer/MainActivity.java

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+package com.example.promptoptimizer;
+
+import android.content.ClipData;
+import android.content.ClipboardManager;
+import android.content.Context;
+import android.os.Bundle;
+import android.view.View;
+import android.widget.EditText;
+import android.widget.ProgressBar;
+import android.widget.TextView;
+import android.widget.Toast;
+
+import androidx.appcompat.app.AppCompatActivity;
+
+import com.example.promptoptimizer.api.ExpertGenerate3Api;
+import com.example.promptoptimizer.model.ExpertGenerate3Request;
+import com.example.promptoptimizer.model.ExpertGenerate3Response;
+import com.google.android.material.button.MaterialButton;
+import com.google.android.material.card.MaterialCardView;
+
+import java.util.Arrays;
+
+import retrofit2.Call;
+import retrofit2.Callback;
+import retrofit2.Response;
+
+/**
+ * 提示词智能优化 - 主界面
+ */
+public class MainActivity extends AppCompatActivity {
+
+    private EditText etInput;
+    private MaterialButton btnGenerate;
+    private ProgressBar progressBar;
+    private TextView tvLoading;
+    private MaterialCardView cardResult;
+    private TextView tvIntent;
+    private TextView tvPrompt;
+    private MaterialButton btnCopy;
+
+    private boolean isSubmitting = false;
+
+    @Override
+    protected void onCreate(Bundle savedInstanceState) {
+        super.onCreate(savedInstanceState);
+        setContentView(R.layout.activity_main);
+
+        etInput = findViewById(R.id.etInput);
+        btnGenerate = findViewById(R.id.btnGenerate);
+        progressBar = findViewById(R.id.progressBar);
+        tvLoading = findViewById(R.id.tvLoading);
+        cardResult = findViewById(R.id.cardResult);
+        tvIntent = findViewById(R.id.tvIntent);
+        tvPrompt = findViewById(R.id.tvPrompt);
+        btnCopy = findViewById(R.id.btnCopy);
+
+        btnGenerate.setOnClickListener(v -> doGenerate());
+        btnCopy.setOnClickListener(v -> copyPrompt());
+    }
+
+    private void doGenerate() {
+        if (isSubmitting) return;
+
+        String input = etInput.getText() != null ? etInput.getText().toString().trim() : "";
+        if (input.isEmpty()) {
+            Toast.makeText(this, R.string.error_empty, Toast.LENGTH_SHORT).show();
+            return;
+        }
+
+        isSubmitting = true;
+        progressBar.setVisibility(View.VISIBLE);
+        tvLoading.setVisibility(View.VISIBLE);
+        btnGenerate.setEnabled(false);
+        cardResult.setVisibility(View.GONE);
+
+        ExpertGenerate3Request request = new ExpertGenerate3Request(input);
+        ExpertGenerate3Api api = RetrofitClient.getApi();
+
+        api.generate(request).enqueue(new Callback<ExpertGenerate3Response>() {
+            @Override
+            public void onResponse(Call<ExpertGenerate3Response> call,
+                                   Response<ExpertGenerate3Response> response) {
+                isSubmitting = false;
+                progressBar.setVisibility(View.GONE);
+                tvLoading.setVisibility(View.GONE);
+                btnGenerate.setEnabled(true);
+
+                if (response.isSuccessful() && response.body() != null) {
+                    ExpertGenerate3Response body = response.body();
+                    if (body.getCode() == 200 && body.getData() != null) {
+                        showResult(body);
+                    } else {
+                        Toast.makeText(MainActivity.this,
+                                body.getMessage() != null ? body.getMessage() : getString(R.string.error_network),
+                                Toast.LENGTH_LONG).show();
+                    }
+                } else {
+                    Toast.makeText(MainActivity.this, R.string.error_network, Toast.LENGTH_LONG).show();
+                }
+            }
+
+            @Override
+            public void onFailure(Call<ExpertGenerate3Response> call, Throwable t) {
+                isSubmitting = false;
+                progressBar.setVisibility(View.GONE);
+                tvLoading.setVisibility(View.GONE);
+                btnGenerate.setEnabled(true);
+                Toast.makeText(MainActivity.this, R.string.error_network + ": " + t.getMessage(),
+                        Toast.LENGTH_LONG).show();
+            }
+        });
+    }
+
+    private void showResult(ExpertGenerate3Response response) {
+        ExpertGenerate3Response.ResponseData data = response.getData();
+        if (data == null) return;
+
+        StringBuilder intentSb = new StringBuilder();
+        ExpertGenerate3Response.IntentAnalysis ia = data.getIntentAnalysis();
+        if (ia != null) {
+            intentSb.append("核心意图：").append(ia.getCoreIntent()).append("\n");
+            intentSb.append("专业领域：").append(ia.getDomain()).append("\n");
+            intentSb.append("预期输出：").append(ia.getExpectedOutput()).append("\n");
+            if (ia.getKeyRequirements() != null && ia.getKeyRequirements().length > 0) {
+                intentSb.append("关键需求：\n").append(Arrays.toString(ia.getKeyRequirements())).append("\n");
+            }
+            if (ia.getConstraints() != null && ia.getConstraints().length > 0) {
+                intentSb.append("约束条件：\n").append(Arrays.toString(ia.getConstraints()));
+            }
+        }
+        tvIntent.setText(intentSb.toString());
+        tvPrompt.setText(data.getGeneratedPrompt() != null ? data.getGeneratedPrompt() : "");
+        cardResult.setVisibility(View.VISIBLE);
+    }
+
+    private void copyPrompt() {
+        String text = tvPrompt.getText() != null ? tvPrompt.getText().toString() : "";
+        if (text.isEmpty()) return;
+
+        ClipboardManager cm = (ClipboardManager) getSystemService(Context.CLIPBOARD_SERVICE);
+        if (cm != null) {
+            cm.setPrimaryClip(ClipData.newPlainText("prompt", text));
+            Toast.makeText(this, R.string.toast_copied, Toast.LENGTH_SHORT).show();
+        }
+    }
+}

exampleAiApp01/app/src/main/java/com/example/promptoptimizer/RetrofitClient.java

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+package com.example.promptoptimizer;
+
+import com.example.promptoptimizer.api.ExpertGenerate3Api;
+
+import okhttp3.OkHttpClient;
+import okhttp3.logging.HttpLoggingInterceptor;
+import retrofit2.Retrofit;
+import retrofit2.converter.gson.GsonConverterFactory;
+
+import java.util.concurrent.TimeUnit;
+
+public class RetrofitClient {
+
+    private static final String BASE_URL = "http://101.43.95.130:5002/";
+
+    private static Retrofit retrofit;
+    private static ExpertGenerate3Api api;
+
+    public static ExpertGenerate3Api getApi() {
+        if (api == null) {
+            api = getRetrofit().create(ExpertGenerate3Api.class);
+        }
+        return api;
+    }
+
+    private static Retrofit getRetrofit() {
+        if (retrofit == null) {
+            HttpLoggingInterceptor interceptor = new HttpLoggingInterceptor();
+            interceptor.setLevel(HttpLoggingInterceptor.Level.BODY);
+
+            OkHttpClient client = new OkHttpClient.Builder()
+                    .connectTimeout(90, TimeUnit.SECONDS)
+                    .readTimeout(90, TimeUnit.SECONDS)
+                    .writeTimeout(90, TimeUnit.SECONDS)
+                    .addInterceptor(interceptor)
+                    .build();
+
+            retrofit = new Retrofit.Builder()
+                    .baseUrl(BASE_URL)
+                    .client(client)
+                    .addConverterFactory(GsonConverterFactory.create())
+                    .build();
+        }
+        return retrofit;
+    }
+}

exampleAiApp01/app/src/main/java/com/example/promptoptimizer/api/ExpertGenerate3Api.java

@@ -0,0 +1,17 @@
+package com.example.promptoptimizer.api;
+
+import com.example.promptoptimizer.model.ExpertGenerate3Response;
+import com.example.promptoptimizer.model.ExpertGenerate3Request;
+
+import retrofit2.Call;
+import retrofit2.http.Body;
+import retrofit2.http.POST;
+
+/**
+ * 智能提示词优化3号专家 API
+ */
+public interface ExpertGenerate3Api {
+
+    @POST("api/open/expert-generate-3")
+    Call<ExpertGenerate3Response> generate(@Body ExpertGenerate3Request request);
+}

exampleAiApp01/app/src/main/java/com/example/promptoptimizer/model/ExpertGenerate3Request.java

@@ -0,0 +1,71 @@
+package com.example.promptoptimizer.model;
+
+import com.google.gson.annotations.SerializedName;
+
+/**
+ * 请求体
+ */
+public class ExpertGenerate3Request {
+
+    @SerializedName("input_text")
+    private String inputText;
+
+    @SerializedName("temperature")
+    private Float temperature;
+
+    @SerializedName("max_tokens")
+    private Integer maxTokens;
+
+    @SerializedName("timeout")
+    private Integer timeout;
+
+    @SerializedName("uid")
+    private Integer uid;
+
+    public ExpertGenerate3Request(String inputText) {
+        this.inputText = inputText;
+        this.temperature = 0.7f;
+        this.maxTokens = 1000;
+        this.timeout = 60;
+    }
+
+    public String getInputText() {
+        return inputText;
+    }
+
+    public void setInputText(String inputText) {
+        this.inputText = inputText;
+    }
+
+    public Float getTemperature() {
+        return temperature;
+    }
+
+    public void setTemperature(Float temperature) {
+        this.temperature = temperature;
+    }
+
+    public Integer getMaxTokens() {
+        return maxTokens;
+    }
+
+    public void setMaxTokens(Integer maxTokens) {
+        this.maxTokens = maxTokens;
+    }
+
+    public Integer getTimeout() {
+        return timeout;
+    }
+
+    public void setTimeout(Integer timeout) {
+        this.timeout = timeout;
+    }
+
+    public Integer getUid() {
+        return uid;
+    }
+
+    public void setUid(Integer uid) {
+        this.uid = uid;
+    }
+}

exampleAiApp01/app/src/main/java/com/example/promptoptimizer/model/ExpertGenerate3Response.java

@@ -0,0 +1,120 @@
+package com.example.promptoptimizer.model;
+
+import com.google.gson.annotations.SerializedName;
+
+/**
+ * 响应体
+ */
+public class ExpertGenerate3Response {
+
+    private int code;
+    private String message;
+
+    @SerializedName("data")
+    private ResponseData data;
+
+    public int getCode() {
+        return code;
+    }
+
+    public void setCode(int code) {
+        this.code = code;
+    }
+
+    public String getMessage() {
+        return message;
+    }
+
+    public void setMessage(String message) {
+        this.message = message;
+    }
+
+    public ResponseData getData() {
+        return data;
+    }
+
+    public void setData(ResponseData data) {
+        this.data = data;
+    }
+
+    public static class ResponseData {
+        @SerializedName("intent_analysis")
+        private IntentAnalysis intentAnalysis;
+
+        @SerializedName("generated_prompt")
+        private String generatedPrompt;
+
+        public IntentAnalysis getIntentAnalysis() {
+            return intentAnalysis;
+        }
+
+        public void setIntentAnalysis(IntentAnalysis intentAnalysis) {
+            this.intentAnalysis = intentAnalysis;
+        }
+
+        public String getGeneratedPrompt() {
+            return generatedPrompt;
+        }
+
+        public void setGeneratedPrompt(String generatedPrompt) {
+            this.generatedPrompt = generatedPrompt;
+        }
+    }
+
+    public static class IntentAnalysis {
+        @SerializedName("core_intent")
+        private String coreIntent;
+
+        @SerializedName("domain")
+        private String domain;
+
+        @SerializedName("key_requirements")
+        private String[] keyRequirements;
+
+        @SerializedName("expected_output")
+        private String expectedOutput;
+
+        @SerializedName("constraints")
+        private String[] constraints;
+
+        public String getCoreIntent() {
+            return coreIntent;
+        }
+
+        public void setCoreIntent(String coreIntent) {
+            this.coreIntent = coreIntent;
+        }
+
+        public String getDomain() {
+            return domain;
+        }
+
+        public void setDomain(String domain) {
+            this.domain = domain;
+        }
+
+        public String[] getKeyRequirements() {
+            return keyRequirements;
+        }
+
+        public void setKeyRequirements(String[] keyRequirements) {
+            this.keyRequirements = keyRequirements;
+        }
+
+        public String getExpectedOutput() {
+            return expectedOutput;
+        }
+
+        public void setExpectedOutput(String expectedOutput) {
+            this.expectedOutput = expectedOutput;
+        }
+
+        public String[] getConstraints() {
+            return constraints;
+        }
+
+        public void setConstraints(String[] constraints) {
+            this.constraints = constraints;
+        }
+    }
+}

exampleAiApp01/app/src/main/res/drawable/edit_bg.xml

@@ -0,0 +1,6 @@
+<?xml version="1.0" encoding="utf-8"?>
+<shape xmlns:android="http://schemas.android.com/apk/res/android">
+    <solid android:color="#FFFFFF"/>
+    <corners android:radius="4dp"/>
+    <stroke android:width="1dp" android:color="#E2E8F0"/>
+</shape>

exampleAiApp01/app/src/main/res/drawable/ic_launcher_foreground.xml

@@ -0,0 +1,10 @@
+<?xml version="1.0" encoding="utf-8"?>
+<vector xmlns:android="http://schemas.android.com/apk/res/android"
+    android:width="108dp"
+    android:height="108dp"
+    android:viewportWidth="108"
+    android:viewportHeight="108">
+    <path
+        android:fillColor="#1E3A8A"
+        android:pathData="M54,40 L68,54 L54,68 L40,54 Z" />
+</vector>

exampleAiApp01/app/src/main/res/layout/activity_main.xml

@@ -0,0 +1,153 @@
+<?xml version="1.0" encoding="utf-8"?>
+<ScrollView xmlns:android="http://schemas.android.com/apk/res/android"
+    xmlns:app="http://schemas.android.com/apk/res-auto"
+    android:layout_width="match_parent"
+    android:layout_height="match_parent"
+    android:fillViewport="true"
+    android:background="#F8FAFC">
+
+    <LinearLayout
+        android:layout_width="match_parent"
+        android:layout_height="wrap_content"
+        android:orientation="vertical"
+        android:padding="16dp">
+
+        <TextView
+            android:layout_width="wrap_content"
+            android:layout_height="wrap_content"
+            android:text="提示词智能优化"
+            android:textSize="22sp"
+            android:textStyle="bold"
+            android:textColor="#1E3A8A"
+            android:layout_marginBottom="16dp" />
+
+        <com.google.android.material.card.MaterialCardView
+            android:layout_width="match_parent"
+            android:layout_height="wrap_content"
+            android:layout_marginBottom="16dp"
+            app:cardCornerRadius="8dp"
+            app:cardElevation="2dp">
+
+            <LinearLayout
+                android:layout_width="match_parent"
+                android:layout_height="wrap_content"
+                android:orientation="vertical"
+                android:padding="16dp">
+
+                <TextView
+                    android:layout_width="wrap_content"
+                    android:layout_height="wrap_content"
+                    android:text="请描述您的需求"
+                    android:textSize="14sp"
+                    android:textColor="#333333"
+                    android:layout_marginBottom="8dp" />
+
+                <EditText
+                    android:id="@+id/etInput"
+                    android:layout_width="match_parent"
+                    android:layout_height="120dp"
+                    android:gravity="top|start"
+                    android:padding="12dp"
+                    android:background="@drawable/edit_bg"
+                    android:inputType="textMultiLine"
+                    android:minLines="3"
+                    android:hint="@string/hint_input" />
+
+                <com.google.android.material.button.MaterialButton
+                    android:id="@+id/btnGenerate"
+                    android:layout_width="match_parent"
+                    android:layout_height="wrap_content"
+                    android:layout_marginTop="12dp"
+                    android:text="@string/btn_generate" />
+
+            </LinearLayout>
+        </com.google.android.material.card.MaterialCardView>
+
+        <ProgressBar
+            android:id="@+id/progressBar"
+            android:layout_width="wrap_content"
+            android:layout_height="wrap_content"
+            android:layout_gravity="center"
+            android:visibility="gone"
+            android:layout_marginVertical="24dp" />
+
+        <TextView
+            android:id="@+id/tvLoading"
+            android:layout_width="wrap_content"
+            android:layout_height="wrap_content"
+            android:layout_gravity="center"
+            android:text="@string/loading"
+            android:visibility="gone"
+            android:layout_marginBottom="24dp" />
+
+        <com.google.android.material.card.MaterialCardView
+            android:id="@+id/cardResult"
+            android:layout_width="match_parent"
+            android:layout_height="wrap_content"
+            android:visibility="gone"
+            app:cardCornerRadius="8dp"
+            app:cardElevation="2dp">
+
+            <LinearLayout
+                android:layout_width="match_parent"
+                android:layout_height="wrap_content"
+                android:orientation="vertical"
+                android:padding="16dp">
+
+                <TextView
+                    android:layout_width="wrap_content"
+                    android:layout_height="wrap_content"
+                    android:text="@string/label_result"
+                    android:textSize="16sp"
+                    android:textStyle="bold"
+                    android:layout_marginBottom="12dp" />
+
+                <TextView
+                    android:layout_width="wrap_content"
+                    android:layout_height="wrap_content"
+                    android:text="@string/label_intent"
+                    android:textSize="14sp"
+                    android:textStyle="bold"
+                    android:layout_marginBottom="4dp" />
+
+                <TextView
+                    android:id="@+id/tvIntent"
+                    android:layout_width="match_parent"
+                    android:layout_height="wrap_content"
+                    android:padding="8dp"
+                    android:background="#F1F5F9"
+                    android:textSize="13sp"
+                    android:lineSpacingExtra="4dp"
+                    android:layout_marginBottom="12dp" />
+
+                <TextView
+                    android:layout_width="wrap_content"
+                    android:layout_height="wrap_content"
+                    android:text="@string/label_prompt"
+                    android:textSize="14sp"
+                    android:textStyle="bold"
+                    android:layout_marginBottom="4dp" />
+
+                <TextView
+                    android:id="@+id/tvPrompt"
+                    android:layout_width="match_parent"
+                    android:layout_height="wrap_content"
+                    android:padding="8dp"
+                    android:background="#F1F5F9"
+                    android:textSize="13sp"
+                    android:lineSpacingExtra="4dp"
+                    android:fontFamily="monospace" />
+
+                <com.google.android.material.button.MaterialButton
+                    android:id="@+id/btnCopy"
+                    style="@style/Widget.Material3.Button.TextButton"
+                    android:layout_width="wrap_content"
+                    android:layout_height="wrap_content"
+                    android:layout_marginTop="12dp"
+                    android:text="@string/btn_copy" />
+
+            </LinearLayout>
+        </com.google.android.material.card.MaterialCardView>
+
+    </LinearLayout>
+</ScrollView>

exampleAiApp01/app/src/main/res/mipmap-anydpi-v26/ic_launcher.xml

@@ -0,0 +1,5 @@
+<?xml version="1.0" encoding="utf-8"?>
+<adaptive-icon xmlns:android="http://schemas.android.com/apk/res/android">
+    <background android:drawable="@color/ic_launcher_background"/>
+    <foreground android:drawable="@drawable/ic_launcher_foreground"/>
+</adaptive-icon>

exampleAiApp01/app/src/main/res/mipmap-anydpi-v26/ic_launcher_round.xml

@@ -0,0 +1,5 @@
+<?xml version="1.0" encoding="utf-8"?>
+<adaptive-icon xmlns:android="http://schemas.android.com/apk/res/android">
+    <background android:drawable="@color/ic_launcher_background"/>
+    <foreground android:drawable="@drawable/ic_launcher_foreground"/>
+</adaptive-icon>

exampleAiApp01/app/src/main/res/values/colors.xml

@@ -0,0 +1,5 @@
+<?xml version="1.0" encoding="utf-8"?>
+<resources>
+    <color name="ic_launcher_background">#F8FAFC</color>
+    <color name="primary">#1E3A8A</color>
+</resources>

exampleAiApp01/app/src/main/res/values/strings.xml

@@ -0,0 +1,14 @@
+<?xml version="1.0" encoding="utf-8"?>
+<resources>
+    <string name="app_name">提示词智能优化</string>
+    <string name="hint_input">请描述您的需求，系统将进行专业分析并生成高质量提示词</string>
+    <string name="btn_generate">生成专家提示词</string>
+    <string name="label_result">生成结果</string>
+    <string name="label_intent">需求分析</string>
+    <string name="label_prompt">生成的专家提示词</string>
+    <string name="btn_copy">复制提示词</string>
+    <string name="toast_copied">已复制到剪贴板</string>
+    <string name="loading">正在分析需求并生成专业提示词…</string>
+    <string name="error_network">网络请求失败，请检查网络后重试</string>
+    <string name="error_empty">请输入您的需求</string>
+</resources>

exampleAiApp01/app/src/main/res/values/themes.xml

@@ -0,0 +1,8 @@
+<?xml version="1.0" encoding="utf-8"?>
+<resources>
+    <style name="Theme.PromptOptimizer" parent="Theme.Material3.Light.NoActionBar">
+        <item name="colorPrimary">#1E3A8A</item>
+        <item name="colorPrimaryVariant">#3B82F6</item>
+        <item name="colorOnPrimary">#FFFFFF</item>
+    </style>
+</resources>

exampleAiApp01/build.gradle.kts

@@ -0,0 +1,3 @@
+plugins {
+    id("com.android.application") version "8.7.3" apply false
+}

exampleAiApp01/gradle.properties

@@ -0,0 +1,4 @@
+org.gradle.jvmargs=-Xmx2048m -Dfile.encoding=UTF-8
+android.useAndroidX=true
+kotlin.code.style=official
+android.nonTransitiveRClass=true

exampleAiApp01/gradle/wrapper/gradle-wrapper.properties

@@ -0,0 +1,7 @@
+distributionBase=GRADLE_USER_HOME
+distributionPath=wrapper/dists
+distributionUrl=https\://services.gradle.org/distributions/gradle-8.9-bin.zip
+networkTimeout=10000
+validateDistributionUrl=true
+zipStoreBase=GRADLE_USER_HOME
+zipStorePath=wrapper/dists

exampleAiApp01/settings.gradle.kts

@@ -0,0 +1,17 @@
+pluginManagement {
+    repositories {
+        google()
+        mavenCentral()
+        gradlePluginPortal()
+    }
+}
+dependencyResolutionManagement {
+    repositoriesMode.set(RepositoriesMode.FAIL_ON_PROJECT_REPOS)
+    repositories {
+        google()
+        mavenCentral()
+    }
+}
+
+rootProject.name = "PromptOptimizer"
+include(":app")

logs/app.log

@@ -2927,3 +2927,4 @@ werkzeug.routing.exceptions.BuildError: Could not build url for endpoint 'expert
  [in /home/renjianbo/aitsc/src/flask_prompt_master/__init__.py:120]
 2026-02-28 22:15:25,968 INFO: 应用启动 [in /home/renjianbo/aitsc/config/base.py:82]
 2026-02-28 22:22:12,598 INFO: 应用启动 [in /home/renjianbo/aitsc/config/base.py:82]
+2026-03-01 22:57:49,275 INFO: 应用启动 [in /home/renjianbo/aitsc/config/base.py:82]

logs/gunicorn.pid

@@ -1 +1 @@
-22948
+21107

logs/gunicorn_access.log

@@ -15248,3 +15248,6 @@
 206.168.34.39 - - [01/Mar/2026:01:05:25 +0800] "PRI * HTTP/2.0" 404 207 "-" "-" 828
 206.168.34.39 - - [01/Mar/2026:01:05:26 +0800] "GET /favicon.ico HTTP/1.1" 404 207 "-" "Mozilla/5.0 (compatible; CensysInspect/1.1; +https://about.censys.io/)" 806
 206.168.34.39 - - [01/Mar/2026:01:05:45 +0800] "GET /security.txt HTTP/1.1" 404 207 "-" "Mozilla/5.0 (compatible; CensysInspect/1.1; +https://about.censys.io/)" 659
+123.139.40.200 - - [01/Mar/2026:22:58:01 +0800] "GET / HTTP/1.1" 200 216259 "http://101.43.95.130:5002/expert-generate-3" "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/144.0.0.0 Safari/537.36 Edg/144.0.0.0" 712510
+123.139.40.200 - - [01/Mar/2026:22:58:01 +0800] "GET /static/js/interactions.js HTTP/1.1" 404 207 "http://101.43.95.130:5002/" "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/144.0.0.0 Safari/537.36 Edg/144.0.0.0" 5764
+123.139.40.200 - - [01/Mar/2026:22:58:02 +0800] "GET /api/check-login HTTP/1.1" 200 35 "http://101.43.95.130:5002/" "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/144.0.0.0 Safari/537.36 Edg/144.0.0.0" 5242

logs/gunicorn_error.log

@@ -10587,3 +10587,36 @@ werkzeug.routing.exceptions.BuildError: Could not build url for endpoint 'expert
 [2026-03-01 02:01:44 +0800] [31755] [ERROR] Worker (pid:696) was sent SIGTERM!
 [2026-03-01 02:01:44 +0800] [31755] [ERROR] Worker (pid:831) was sent SIGTERM!
 [2026-03-01 02:01:44 +0800] [31755] [INFO] Shutting down: Master
+[2026-03-01 22:57:51 +0800] [21107] [INFO] Starting gunicorn 21.2.0
+[2026-03-01 22:57:51 +0800] [21107] [INFO] Gunicorn服务器启动中...
+[2026-03-01 22:57:51 +0800] [21107] [INFO] Listening at: http://0.0.0.0:5002 (21107)
+[2026-03-01 22:57:51 +0800] [21107] [INFO] Using worker: sync
+[2026-03-01 22:57:51 +0800] [21107] [INFO] 工作进程 [booting] 即将启动
+[2026-03-01 22:57:51 +0800] [21286] [INFO] Booting worker with pid: 21286
+[2026-03-01 22:57:51 +0800] [21286] [INFO] 工作进程 21286 已启动
+[2026-03-01 22:57:51 +0800] [21286] [INFO] 工作进程 21286 初始化完成
+[2026-03-01 22:57:51 +0800] [21107] [INFO] 工作进程 [booting] 即将启动
+[2026-03-01 22:57:51 +0800] [21293] [INFO] Booting worker with pid: 21293
+[2026-03-01 22:57:51 +0800] [21293] [INFO] 工作进程 21293 已启动
+[2026-03-01 22:57:51 +0800] [21293] [INFO] 工作进程 21293 初始化完成
+[2026-03-01 22:57:51 +0800] [21107] [INFO] 工作进程 [booting] 即将启动
+[2026-03-01 22:57:51 +0800] [21294] [INFO] Booting worker with pid: 21294
+[2026-03-01 22:57:51 +0800] [21294] [INFO] 工作进程 21294 已启动
+[2026-03-01 22:57:51 +0800] [21294] [INFO] 工作进程 21294 初始化完成
+[2026-03-01 22:57:51 +0800] [21107] [INFO] 工作进程 [booting] 即将启动
+[2026-03-01 22:57:51 +0800] [21295] [INFO] Booting worker with pid: 21295
+[2026-03-01 22:57:51 +0800] [21295] [INFO] 工作进程 21295 已启动
+[2026-03-01 22:57:51 +0800] [21295] [INFO] 工作进程 21295 初始化完成
+[2026-03-01 22:57:51 +0800] [21107] [INFO] 工作进程 [booting] 即将启动
+[2026-03-01 22:57:51 +0800] [21296] [INFO] Booting worker with pid: 21296
+[2026-03-01 22:57:51 +0800] [21296] [INFO] 工作进程 21296 已启动
+[2026-03-01 22:57:51 +0800] [21296] [INFO] 工作进程 21296 初始化完成
+[2026-03-01 23:03:09 +0800] [21107] [CRITICAL] WORKER TIMEOUT (pid:21296)
+[2026-03-01 23:03:09 +0800] [21296] [INFO] 工作进程 21296 异常退出
+[2026-03-01 23:03:09 +0800] [21296] [INFO] Worker exiting (pid: 21296)
+[2026-03-01 23:03:09 +0800] [21107] [ERROR] Worker (pid:21296) exited with code 1
+[2026-03-01 23:03:09 +0800] [21107] [ERROR] Worker (pid:21296) exited with code 1.
+[2026-03-01 23:03:09 +0800] [21107] [INFO] 工作进程 [booting] 即将启动
+[2026-03-01 23:03:09 +0800] [2175] [INFO] Booting worker with pid: 2175
+[2026-03-01 23:03:09 +0800] [2175] [INFO] 工作进程 2175 已启动
+[2026-03-01 23:03:09 +0800] [2175] [INFO] 工作进程 2175 初始化完成

src/flask_prompt_master/routes/expert_generate_3.py

@@ -140,6 +140,84 @@ def _resolve_user_id():
         return 1
 
 
+def _do_generate(raw_input, temperature, max_tokens, timeout, user_id, skip_dedup=False):
+    """核心生成逻辑，供 Web API 和对外接口共用"""
+    if not skip_dedup:
+        req_key = (user_id, hashlib.md5(raw_input.encode()).hexdigest())
+        now_ts = time.time()
+        if req_key in _dedup_cache and (now_ts - _dedup_cache[req_key]) < 8:
+            return {'code': 429, 'message': '请勿重复提交，请稍后再试', 'data': None}
+        _dedup_cache[req_key] = now_ts
+        if len(_dedup_cache) > 500:
+            _dedup_cache.clear()
+
+    resp1 = _llm_client.chat.completions.create(
+        model="deepseek-chat",
+        messages=[
+            {"role": "system", "content": INTENT_PROMPT_3},
+            {"role": "user", "content": raw_input}
+        ],
+        temperature=0.1,
+        timeout=timeout
+    )
+    intent_raw = (resp1.choices[0].message.content or "").strip()
+    intent_raw = intent_raw.replace('```json', '').replace('```', '').strip()
+    try:
+        intent_data = json.loads(intent_raw)
+        for field in ['core_intent', 'domain', 'key_requirements', 'expected_output', 'constraints', 'keywords']:
+            if field not in intent_data:
+                raise ValueError("缺少字段: " + field)
+        if intent_data['core_intent'] not in ('技术', '创意', '分析', '咨询'):
+            intent_data['core_intent'] = '技术'
+        for arr_field in ['key_requirements', 'constraints', 'keywords']:
+            v = intent_data.get(arr_field)
+            if not isinstance(v, list) or len(v) == 0:
+                intent_data[arr_field] = ['未指定']
+    except json.JSONDecodeError:
+        raise ValueError("意图分析格式有误")
+    except ValueError:
+        raise
+
+    tpl = EXPERT_TEMPLATES_3.get(intent_data['core_intent'], FALLBACK_TEMPLATE_3)
+    analysis_str = json.dumps(intent_data, ensure_ascii=False, indent=2)
+    resp2 = _llm_client.chat.completions.create(
+        model="deepseek-chat",
+        messages=[
+            {"role": "system", "content": tpl.format(analysis=analysis_str)},
+            {"role": "user", "content": raw_input}
+        ],
+        temperature=temperature,
+        max_tokens=max_tokens,
+        timeout=timeout
+    )
+    result_prompt = (resp2.choices[0].message.content or "").strip()
+    if not result_prompt:
+        raise ValueError("生成结果为空")
+
+    try:
+        db.session.add(Prompt(input_text=raw_input, generated_text=result_prompt, user_id=user_id))
+        db.session.commit()
+    except Exception as e:
+        db.session.rollback()
+        logger.warning("3号专家 保存 Prompt 失败: %s", e)
+    try:
+        PromptHistory.add_history(
+            user_id=user_id,
+            original_input=raw_input,
+            generated_prompt=result_prompt,
+            template_name=TEMPLATE_NAME_3
+        )
+        UserStatistics.update_statistics(user_id)
+    except Exception as e:
+        logger.warning("3号专家 保存历史失败: %s", e)
+
+    return {
+        'code': 200,
+        'message': 'success',
+        'data': {'intent_analysis': intent_data, 'generated_prompt': result_prompt}
+    }
+
+
 @expert_generate_3_bp.route('/expert-generate-3', methods=['GET'])
 def expert_generate_3_page():
     """智能提示词优化3号专家 - 页面"""
@@ -148,7 +226,20 @@ def expert_generate_3_page():
 
 @expert_generate_3_bp.route('/api/expert-generate-3/generate', methods=['POST'])
 def expert_generate_3_api():
-    """智能提示词优化3号专家 - 两阶段生成 API，含历史记录"""
+    """智能提示词优化3号专家 - 两阶段生成 API（Web 用），含历史记录"""
+    return _handle_generate_api(skip_dedup=False, user_id=None)
+
+
+@expert_generate_3_bp.route('/api/open/expert-generate-3', methods=['POST'])
+def expert_generate_3_open_api():
+    """
+    智能提示词优化3号专家 - 对外接口，供 Android 等外部应用调用。
+    POST JSON: input_text(必填), temperature, max_tokens, timeout, uid(可选)
+    """
+    return _handle_generate_api(skip_dedup=True, user_id=None)
+
+
+def _handle_generate_api(skip_dedup=False, user_id=None):
     try:
         if not request.is_json:
             return jsonify({'code': 400, 'message': '请求必须是JSON格式', 'data': None})
@@ -167,79 +258,16 @@ def expert_generate_3_api():
         timeout = int(timeout) if timeout is not None else 60
         timeout = max(10, min(300, timeout))
 
-        uid = _resolve_user_id()
+        uid = user_id if user_id is not None else payload.get('uid')
-        req_key = (uid, hashlib.md5(raw_input.encode()).hexdigest())
+        if uid is not None:
-        now_ts = time.time()
+            uid = int(uid)
-        if req_key in _dedup_cache and (now_ts - _dedup_cache[req_key]) < 8:
+        else:
-            return jsonify({'code': 429, 'message': '请勿重复提交，请稍后再试', 'data': None})
+            uid = _resolve_user_id()
-        _dedup_cache[req_key] = now_ts
-        if len(_dedup_cache) > 500:
-            _dedup_cache.clear()
 
-        resp1 = _llm_client.chat.completions.create(
+        result = _do_generate(raw_input, temperature, max_tokens, timeout, uid, skip_dedup=skip_dedup)
-            model="deepseek-chat",
+        return jsonify(result)
-            messages=[
+    except ValueError as e:
-                {"role": "system", "content": INTENT_PROMPT_3},
+        return jsonify({'code': 400, 'message': str(e), 'data': None})
-                {"role": "user", "content": raw_input}
-            ],
-            temperature=0.1,
-            timeout=timeout
-        )
-        intent_raw = (resp1.choices[0].message.content or "").strip()
-        intent_raw = intent_raw.replace('```json', '').replace('```', '').strip()
-        try:
-            intent_data = json.loads(intent_raw)
-            for field in ['core_intent', 'domain', 'key_requirements', 'expected_output', 'constraints', 'keywords']:
-                if field not in intent_data:
-                    raise ValueError("缺少字段: " + field)
-            if intent_data['core_intent'] not in ('技术', '创意', '分析', '咨询'):
-                intent_data['core_intent'] = '技术'
-            for arr_field in ['key_requirements', 'constraints', 'keywords']:
-                v = intent_data.get(arr_field)
-                if not isinstance(v, list) or len(v) == 0:
-                    intent_data[arr_field] = ['未指定']
-        except json.JSONDecodeError as e:
-            logger.error("3号专家 JSON解析失败: %s", e)
-            return jsonify({'code': 500, 'message': '意图分析格式有误，请重试', 'data': None})
-        except ValueError as e:
-            logger.error("3号专家 数据验证失败: %s", e)
-            return jsonify({'code': 500, 'message': str(e), 'data': None})
-        tpl = EXPERT_TEMPLATES_3.get(intent_data['core_intent'], FALLBACK_TEMPLATE_3)
-        analysis_str = json.dumps(intent_data, ensure_ascii=False, indent=2)
-        resp2 = _llm_client.chat.completions.create(
-            model="deepseek-chat",
-            messages=[
-                {"role": "system", "content": tpl.format(analysis=analysis_str)},
-                {"role": "user", "content": raw_input}
-            ],
-            temperature=temperature,
-            max_tokens=max_tokens,
-            timeout=timeout
-        )
-        result_prompt = (resp2.choices[0].message.content or "").strip()
-        if not result_prompt:
-            return jsonify({'code': 500, 'message': '生成失败，请重试', 'data': None})
-        try:
-            db.session.add(Prompt(input_text=raw_input, generated_text=result_prompt, user_id=uid))
-            db.session.commit()
-        except Exception as e:
-            db.session.rollback()
-            logger.warning("3号专家 保存 Prompt 失败: %s", e)
-        try:
-            PromptHistory.add_history(
-                user_id=uid,
-                original_input=raw_input,
-                generated_prompt=result_prompt,
-                template_name=TEMPLATE_NAME_3
-            )
-            UserStatistics.update_statistics(uid)
-        except Exception as e:
-            logger.warning("3号专家 保存历史失败: %s", e)
-        return jsonify({
-            'code': 200,
-            'message': 'success',
-            'data': {'intent_analysis': intent_data, 'generated_prompt': result_prompt}
-        })
     except Exception as e:
         logger.exception("智能提示词优化3号专家失败")
         return jsonify({'code': 500, 'message': str(e) or '生成失败，请重试', 'data': None})