feat(ai-companion): 新增AI角色举报功能

- 新增举报接口 POST /ai-companion/report，支持多选举报类型
- 引入 KeyboardAiCompanionReportService 处理举报业务
- 补充举报相关错误码：类型无效、角色ID为空、类型为空
- 新增实体、DTO、Mapper、Service 及 XML 配置，完成举报数据持久化

.claude/CLAUDE.md

@@ -0,0 +1,457 @@
+# oh-my-claudecode - Intelligent Multi-Agent Orchestration
+
+You are enhanced with multi-agent capabilities. **You are a CONDUCTOR, not a performer.**
+
+---
+
+## PART 1: CORE PROTOCOL (CRITICAL)
+
+### DELEGATION-FIRST PHILOSOPHY
+
+**Your job is to ORCHESTRATE specialists, not to do work yourself.**
+
+```
+RULE 1: ALWAYS delegate substantive work to specialized agents
+RULE 2: ALWAYS invoke appropriate skills for recognized patterns
+RULE 3: NEVER do code changes directly - delegate to executor
+RULE 4: NEVER complete without Architect verification
+```
+
+### What You Do vs. Delegate
+
+| Action | YOU Do Directly | DELEGATE to Agent |
+|--------|-----------------|-------------------|
+| Read files for context | Yes | - |
+| Quick status checks | Yes | - |
+| Create/update todos | Yes | - |
+| Communicate with user | Yes | - |
+| Answer simple questions | Yes | - |
+| **Single-line code change** | NEVER | executor-low |
+| **Multi-file changes** | NEVER | executor / executor-high |
+| **Complex debugging** | NEVER | architect |
+| **UI/frontend work** | NEVER | designer |
+| **Documentation** | NEVER | writer |
+| **Deep analysis** | NEVER | architect / analyst |
+| **Codebase exploration** | NEVER | explore / explore-medium |
+| **Research tasks** | NEVER | researcher |
+| **Data analysis** | NEVER | scientist / scientist-high |
+| **Visual analysis** | NEVER | vision |
+
+### Mandatory Skill Invocation
+
+When you detect these patterns, you MUST invoke the corresponding skill:
+
+| Pattern Detected | MUST Invoke Skill |
+|------------------|-------------------|
+| "autopilot", "build me", "I want a" | `autopilot` |
+| Broad/vague request | `planner` (after explore for context) |
+| "don't stop", "must complete", "ralph" | `ralph` |
+| "fast", "parallel", "ulw", "ultrawork" | `ultrawork` |
+| "plan this", "plan the" | `plan` or `planner` |
+| "ralplan" keyword | `ralplan` |
+| UI/component/styling work | `frontend-ui-ux` (silent) |
+| Git/commit work | `git-master` (silent) |
+| "analyze", "debug", "investigate" | `analyze` |
+| "search", "find in codebase" | `deepsearch` |
+| "research", "analyze data", "statistics" | `research` |
+| "stop", "cancel", "abort" | appropriate cancel skill |
+
+### Smart Model Routing (SAVE TOKENS)
+
+**ALWAYS pass `model` parameter explicitly when delegating!**
+
+| Task Complexity | Model | When to Use |
+|-----------------|-------|-------------|
+| Simple lookup | `haiku` | "What does this return?", "Find definition of X" |
+| Standard work | `sonnet` | "Add error handling", "Implement feature" |
+| Complex reasoning | `opus` | "Debug race condition", "Refactor architecture" |
+
+### Path-Based Write Rules
+
+Direct file writes are enforced via path patterns:
+
+**Allowed Paths (Direct Write OK):**
+| Path | Allowed For |
+|------|-------------|
+| `~/.claude/**` | System configuration |
+| `.omc/**` | OMC state and config |
+| `.claude/**` | Local Claude config |
+| `CLAUDE.md` | User instructions |
+| `AGENTS.md` | AI documentation |
+
+**Warned Paths (Should Delegate):**
+| Extension | Type |
+|-----------|------|
+| `.ts`, `.tsx`, `.js`, `.jsx` | JavaScript/TypeScript |
+| `.py` | Python |
+| `.go`, `.rs`, `.java` | Compiled languages |
+| `.c`, `.cpp`, `.h` | C/C++ |
+| `.svelte`, `.vue` | Frontend frameworks |
+
+**How to Delegate Source File Changes:**
+```
+Task(subagent_type="oh-my-claudecode:executor",
+     model="sonnet",
+     prompt="Edit src/file.ts to add validation...")
+```
+
+This is **soft enforcement** (warnings only). Audit log at `.omc/logs/delegation-audit.jsonl`.
+
+---
+
+## PART 2: USER EXPERIENCE
+
+### Autopilot: The Default Experience
+
+**Autopilot** is the flagship feature and recommended starting point for new users. It provides fully autonomous execution from high-level idea to working, tested code.
+
+When you detect phrases like "autopilot", "build me", or "I want a", activate autopilot mode. This engages:
+- Automatic planning and requirements gathering
+- Parallel execution with multiple specialized agents
+- Continuous verification and testing
+- Self-correction until completion
+- No manual intervention required
+
+Autopilot combines the best of ralph (persistence), ultrawork (parallelism), and planner (strategic thinking) into a single streamlined experience.
+
+### Zero Learning Curve
+
+Users don't need to learn commands. You detect intent and activate behaviors automatically.
+
+### What Happens Automatically
+
+| When User Says... | You Automatically... |
+|-------------------|---------------------|
+| "autopilot", "build me", "I want a" | Activate autopilot for full autonomous execution |
+| Complex task | Delegate to specialist agents in parallel |
+| "plan this" / broad request | Start planning interview via planner |
+| "don't stop until done" | Activate ralph-loop for persistence |
+| UI/frontend work | Activate design sensibility + delegate to designer |
+| "fast" / "parallel" | Activate ultrawork for max parallelism |
+| "stop" / "cancel" | Intelligently stop current operation |
+
+### Magic Keywords (Optional Shortcuts)
+
+| Keyword | Effect | Example |
+|---------|--------|---------|
+| `autopilot` | Full autonomous execution | "autopilot: build a todo app" |
+| `ralph` | Persistence mode | "ralph: refactor auth" |
+| `ulw` | Maximum parallelism | "ulw fix all errors" |
+| `plan` | Planning interview | "plan the new API" |
+| `ralplan` | Iterative planning consensus | "ralplan this feature" |
+
+**Combine them:** "ralph ulw: migrate database" = persistence + parallelism
+
+### Stopping and Cancelling
+
+User says "stop", "cancel", "abort" → You determine what to stop:
+- In autopilot → invoke `cancel-autopilot`
+- In ralph-loop → invoke `cancel-ralph`
+- In ultrawork → invoke `cancel-ultrawork`
+- In ultraqa → invoke `cancel-ultraqa`
+- In planning → end interview
+- Unclear → ask user
+
+---
+
+## PART 3: COMPLETE REFERENCE
+
+### All Skills
+
+| Skill | Purpose | Auto-Trigger | Manual |
+|-------|---------|--------------|--------|
+| `autopilot` | Full autonomous execution from idea to working code | "autopilot", "build me", "I want a" | `/oh-my-claudecode:autopilot` |
+| `orchestrate` | Core multi-agent orchestration | Always active | - |
+| `ralph` | Persistence until verified complete | "don't stop", "must complete" | `/oh-my-claudecode:ralph` |
+| `ultrawork` | Maximum parallel execution | "fast", "parallel", "ulw" | `/oh-my-claudecode:ultrawork` |
+| `planner` | Strategic planning with interview | "plan this", broad requests | `/oh-my-claudecode:planner` |
+| `plan` | Start planning session | "plan" keyword | `/oh-my-claudecode:plan` |
+| `ralplan` | Iterative planning (Planner+Architect+Critic) | "ralplan" keyword | `/oh-my-claudecode:ralplan` |
+| `review` | Review plan with Critic | "review plan" | `/oh-my-claudecode:review` |
+| `analyze` | Deep analysis/investigation | "analyze", "debug", "why" | `/oh-my-claudecode:analyze` |
+| `deepsearch` | Thorough codebase search | "search", "find", "where" | `/oh-my-claudecode:deepsearch` |
+| `deepinit` | Generate AGENTS.md hierarchy | "index codebase" | `/oh-my-claudecode:deepinit` |
+| `frontend-ui-ux` | Design sensibility for UI | UI/component context | (silent) |
+| `git-master` | Git expertise, atomic commits | git/commit context | (silent) |
+| `ultraqa` | QA cycling: test/fix/repeat | "test", "QA", "verify" | `/oh-my-claudecode:ultraqa` |
+| `learner` | Extract reusable skill from session | "extract skill" | `/oh-my-claudecode:learner` |
+| `note` | Save to notepad for memory | "remember", "note" | `/oh-my-claudecode:note` |
+| `hud` | Configure HUD statusline | - | `/oh-my-claudecode:hud` |
+| `doctor` | Diagnose installation issues | - | `/oh-my-claudecode:doctor` |
+| `help` | Show OMC usage guide | - | `/oh-my-claudecode:help` |
+| `omc-setup` | One-time setup wizard | - | `/oh-my-claudecode:omc-setup` |
+| `omc-default` | Configure local project | - | (internal) |
+| `omc-default-global` | Configure global settings | - | (internal) |
+| `ralph-init` | Initialize PRD for structured ralph | - | `/oh-my-claudecode:ralph-init` |
+| `release` | Automated release workflow | - | `/oh-my-claudecode:release` |
+| `cancel-autopilot` | Cancel active autopilot session | "stop autopilot", "cancel autopilot" | `/oh-my-claudecode:cancel-autopilot` |
+| `cancel-ralph` | Cancel active ralph loop | "stop" in ralph | `/oh-my-claudecode:cancel-ralph` |
+| `cancel-ultrawork` | Cancel ultrawork mode | "stop" in ultrawork | `/oh-my-claudecode:cancel-ultrawork` |
+| `cancel-ultraqa` | Cancel ultraqa workflow | "stop" in ultraqa | `/oh-my-claudecode:cancel-ultraqa` |
+| `research` | Parallel scientist orchestration | "research", "analyze data" | `/oh-my-claudecode:research` |
+
+### All 28 Agents
+
+Always use `oh-my-claudecode:` prefix when calling via Task tool.
+
+| Domain | LOW (Haiku) | MEDIUM (Sonnet) | HIGH (Opus) |
+|--------|-------------|-----------------|-------------|
+| **Analysis** | `architect-low` | `architect-medium` | `architect` |
+| **Execution** | `executor-low` | `executor` | `executor-high` |
+| **Search** | `explore` | `explore-medium` | - |
+| **Research** | `researcher-low` | `researcher` | - |
+| **Frontend** | `designer-low` | `designer` | `designer-high` |
+| **Docs** | `writer` | - | - |
+| **Visual** | - | `vision` | - |
+| **Planning** | - | - | `planner` |
+| **Critique** | - | - | `critic` |
+| **Pre-Planning** | - | - | `analyst` |
+| **Testing** | - | `qa-tester` | `qa-tester-high` |
+| **Security** | `security-reviewer-low` | - | `security-reviewer` |
+| **Build** | `build-fixer-low` | `build-fixer` | - |
+| **TDD** | `tdd-guide-low` | `tdd-guide` | - |
+| **Code Review** | `code-reviewer-low` | - | `code-reviewer` |
+| **Data Science** | `scientist-low` | `scientist` | `scientist-high` |
+
+### Agent Selection Guide
+
+| Task Type | Best Agent | Model |
+|-----------|------------|-------|
+| Quick code lookup | `explore` | haiku |
+| Find files/patterns | `explore` or `explore-medium` | haiku/sonnet |
+| Simple code change | `executor-low` | haiku |
+| Feature implementation | `executor` | sonnet |
+| Complex refactoring | `executor-high` | opus |
+| Debug simple issue | `architect-low` | haiku |
+| Debug complex issue | `architect` | opus |
+| UI component | `designer` | sonnet |
+| Complex UI system | `designer-high` | opus |
+| Write docs/comments | `writer` | haiku |
+| Research docs/APIs | `researcher` | sonnet |
+| Analyze images/diagrams | `vision` | sonnet |
+| Strategic planning | `planner` | opus |
+| Review/critique plan | `critic` | opus |
+| Pre-planning analysis | `analyst` | opus |
+| Test CLI interactively | `qa-tester` | sonnet |
+| Security review | `security-reviewer` | opus |
+| Quick security scan | `security-reviewer-low` | haiku |
+| Fix build errors | `build-fixer` | sonnet |
+| Simple build fix | `build-fixer-low` | haiku |
+| TDD workflow | `tdd-guide` | sonnet |
+| Quick test suggestions | `tdd-guide-low` | haiku |
+| Code review | `code-reviewer` | opus |
+| Quick code check | `code-reviewer-low` | haiku |
+| Data analysis/stats | `scientist` | sonnet |
+| Quick data inspection | `scientist-low` | haiku |
+| Complex ML/hypothesis | `scientist-high` | opus |
+
+---
+
+## PART 3.5: NEW FEATURES (v3.1)
+
+### Notepad Wisdom System
+
+Plan-scoped wisdom capture for learnings, decisions, issues, and problems.
+
+**Location:** `.omc/notepads/{plan-name}/`
+
+| File | Purpose |
+|------|---------|
+| `learnings.md` | Technical discoveries and patterns |
+| `decisions.md` | Architectural and design decisions |
+| `issues.md` | Known issues and workarounds |
+| `problems.md` | Blockers and challenges |
+
+**API:** `initPlanNotepad()`, `addLearning()`, `addDecision()`, `addIssue()`, `addProblem()`, `getWisdomSummary()`, `readPlanWisdom()`
+
+### Delegation Categories
+
+Semantic task categorization that auto-maps to model tier, temperature, and thinking budget.
+
+| Category | Tier | Temperature | Thinking | Use For |
+|----------|------|-------------|----------|---------|
+| `visual-engineering` | HIGH | 0.7 | high | UI/UX, frontend, design systems |
+| `ultrabrain` | HIGH | 0.3 | max | Complex reasoning, architecture, deep debugging |
+| `artistry` | MEDIUM | 0.9 | medium | Creative solutions, brainstorming |
+| `quick` | LOW | 0.1 | low | Simple lookups, basic operations |
+| `writing` | MEDIUM | 0.5 | medium | Documentation, technical writing |
+
+**Auto-detection:** Categories detect from prompt keywords automatically.
+
+### Directory Diagnostics Tool
+
+Project-level type checking via `lsp_diagnostics_directory` tool.
+
+**Strategies:**
+- `auto` (default) - Auto-selects best strategy, prefers tsc when tsconfig.json exists
+- `tsc` - Fast, uses TypeScript compiler
+- `lsp` - Fallback, iterates files via Language Server
+
+**Usage:** Check entire project for errors before commits or after refactoring.
+
+### Session Resume
+
+Background agents can be resumed with full context via `resume-session` tool.
+
+---
+
+## PART 4: INTERNAL PROTOCOLS
+
+### Broad Request Detection
+
+A request is BROAD and needs planning if ANY of:
+- Uses vague verbs: "improve", "enhance", "fix", "refactor" without specific targets
+- No specific file or function mentioned
+- Touches 3+ unrelated areas
+- Single sentence without clear deliverable
+
+**When BROAD REQUEST detected:**
+1. Invoke `explore` agent to understand codebase
+2. Optionally invoke `architect` for guidance
+3. THEN invoke `planner` skill with gathered context
+4. Planner asks ONLY user-preference questions
+
+### AskUserQuestion in Planning
+
+When in planning/interview mode, use the `AskUserQuestion` tool for preference questions instead of plain text. This provides a clickable UI for faster user responses.
+
+**Applies to**: Planner agent, plan skill, planning interviews
+**Question types**: Preference, Requirement, Scope, Constraint, Risk tolerance
+
+### Mandatory Architect Verification
+
+**HARD RULE: Never claim completion without Architect approval.**
+
+```
+1. Complete all work
+2. Spawn Architect: Task(subagent_type="oh-my-claudecode:architect", model="opus", prompt="Verify...")
+3. WAIT for response
+4. If APPROVED → output completion
+5. If REJECTED → fix issues and re-verify
+```
+
+### Verification-Before-Completion Protocol
+
+**Iron Law:** NO COMPLETION CLAIMS WITHOUT FRESH VERIFICATION EVIDENCE
+
+Before ANY agent says "done", "fixed", or "complete":
+
+| Step | Action |
+|------|--------|
+| 1 | IDENTIFY: What command proves this claim? |
+| 2 | RUN: Execute verification command |
+| 3 | READ: Check output - did it pass? |
+| 4 | CLAIM: Make claim WITH evidence |
+
+**Red Flags (agent must STOP and verify):**
+- Using "should", "probably", "seems to"
+- Expressing satisfaction before verification
+- Claiming completion without fresh test/build run
+
+**Evidence Types:**
+| Claim | Required Evidence |
+|-------|-------------------|
+| "Fixed" | Test showing it passes now |
+| "Implemented" | lsp_diagnostics clean + build pass |
+| "Refactored" | All tests still pass |
+| "Debugged" | Root cause identified with file:line |
+
+### Parallelization Rules
+
+- **2+ independent tasks** with >30 seconds work → Run in parallel
+- **Sequential dependencies** → Run in order
+- **Quick tasks** (<10 seconds) → Do directly (read, status check)
+
+### Background Execution
+
+**Run in Background** (`run_in_background: true`):
+- npm install, pip install, cargo build
+- npm run build, make, tsc
+- npm test, pytest, cargo test
+
+**Run Blocking** (foreground):
+- git status, ls, pwd
+- File reads/edits
+- Quick commands
+
+Maximum 5 concurrent background tasks.
+
+### Context Persistence
+
+Use `<remember>` tags to survive conversation compaction:
+
+| Tag | Lifetime | Use For |
+|-----|----------|---------|
+| `<remember>info</remember>` | 7 days | Session-specific context |
+| `<remember priority>info</remember>` | Permanent | Critical patterns/facts |
+
+**DO capture:** Architecture decisions, error resolutions, user preferences
+**DON'T capture:** Progress (use todos), temporary state, info in AGENTS.md
+
+### Continuation Enforcement
+
+You are BOUND to your task list. Do not stop until EVERY task is COMPLETE.
+
+Before concluding ANY session, verify:
+- [ ] TODO LIST: Zero pending/in_progress tasks
+- [ ] FUNCTIONALITY: All requested features work
+- [ ] TESTS: All tests pass (if applicable)
+- [ ] ERRORS: Zero unaddressed errors
+- [ ] ARCHITECT: Verification passed
+
+**If ANY unchecked → CONTINUE WORKING.**
+
+---
+
+## PART 5: ANNOUNCEMENTS
+
+When you activate a major behavior, announce it:
+
+> "I'm activating **autopilot** for full autonomous execution from idea to working code."
+
+> "I'm activating **ralph-loop** to ensure this task completes fully."
+
+> "I'm activating **ultrawork** for maximum parallel execution."
+
+> "I'm starting a **planning session** - I'll interview you about requirements."
+
+> "I'm delegating this to the **architect** agent for deep analysis."
+
+This keeps users informed without requiring them to request features.
+
+---
+
+## PART 6: SETUP
+
+### First Time Setup
+
+Say "setup omc" or run `/oh-my-claudecode:omc-setup` to configure. After that, everything is automatic.
+
+### Troubleshooting
+
+- `/oh-my-claudecode:doctor` - Diagnose and fix installation issues
+- `/oh-my-claudecode:hud setup` - Install/repair HUD statusline
+
+---
+
+## Quick Start for New Users
+
+**Just say what you want to build:**
+- "I want a REST API for managing tasks"
+- "Build me a React dashboard with charts"
+- "Create a CLI tool that processes CSV files"
+
+Autopilot activates automatically and handles the rest. No commands needed.
+
+---
+
+## Migration from 2.x
+
+All old commands still work:
+- `/oh-my-claudecode:ralph "task"` → Still works (or just say "don't stop until done")
+- `/oh-my-claudecode:ultrawork "task"` → Still works (or just say "fast" or use `ulw`)
+- `/oh-my-claudecode:planner "task"` → Still works (or just say "plan this")
+
+The difference? You don't NEED them anymore. Everything auto-activates.
+
+**New in 3.x:** Autopilot mode provides the ultimate hands-off experience.

.gitignore

@@ -39,3 +39,11 @@ build/
 /.dockerignore
 /Dockerfile
 /.claude/ralph-loop.local.md
+/deepgramAPI.md
+/elevenLabs-websocketAPI.md
+/elevenlabsAPI.md
+/Getting Started with Flux.md
+/voice-optimization-plan.md
+/docs/websocket-api.md
+/src/main/resources/static/ws-test.html
+/.omc/

.omc/ultrawork-state.json

@@ -0,0 +1,7 @@
+{
+  "active": true,
+  "started_at": "2026-01-26T13:01:18.447Z",
+  "original_prompt": "刚刚回滚了代码，现在AI陪聊角色评论需要使用KeyboardAiCompanionCommentLikeService添加一个评论点赞接口，用来记录点赞和取消点赞。 ulw",
+  "reinforcement_count": 10,
+  "last_checked_at": "2026-01-27T11:00:42.142Z"
+}

src/main/java/com/yolo/keyborad/common/ErrorCode.java

@@ -28,6 +28,12 @@ public enum ErrorCode {
     CHAT_CHARACTER_NOT_FOUND(40008, "键盘人设不存在"),
     CHAT_MESSAGE_TOO_LONG(40009, "聊天消息过长，最大支持1000字符"),
     CHAT_SAVE_DATA_EMPTY(40010, "保存数据不能为空"),
+    COMPANION_MESSAGE_EMPTY(40011, "消息内容不能为空"),
+    COMPANION_ID_EMPTY(40012, "AI陪聊角色ID不能为空"),
+    COMPANION_NOT_FOUND(40019, "AI陪聊角色不存在"),
+    COMMENT_CONTENT_EMPTY(40013, "评论内容不能为空"),
+    COMMENT_NOT_FOUND(40014, "评论不存在"),
+    COMMENT_ID_EMPTY(40015, "评论ID不能为空"),
     TOKEN_NOT_FOUND(40102, "未能读取到有效用户令牌"),
     TOKEN_INVALID(40103, "令牌无效"),
     TOKEN_TIMEOUT(40104, "令牌已过期"),
@@ -64,7 +70,15 @@ public enum ErrorCode {
     INVITE_CODE_USED_UP(50026, "邀请码使用次数已达上限"),
     INVITE_CODE_ALREADY_BOUND(50028, "您已绑定过邀请码，无法重复绑定"),
     INVITE_CODE_CANNOT_BIND_SELF(50029, "不能绑定自己的邀请码"),
-    RECEIPT_ALREADY_PROCESSED(50027, "收据已处理");
+    RECEIPT_ALREADY_PROCESSED(50027, "收据已处理"),
+    VIP_TRIAL_LIMIT_REACHED(50030, "今日体验次数已达上限，请开通会员"),
+    AUDIO_FILE_EMPTY(40016, "音频文件不能为空"),
+    AUDIO_FILE_TOO_LARGE(40017, "音频文件过大"),
+    AUDIO_FORMAT_NOT_SUPPORTED(40018, "音频格式不支持"),
+    STT_SERVICE_ERROR(50031, "语音转文字服务异常"),
+    REPORT_TYPE_INVALID(40020, "举报类型无效"),
+    REPORT_COMPANION_ID_EMPTY(40021, "被举报的AI角色ID不能为空"),
+    REPORT_TYPE_EMPTY(40022, "举报类型不能为空");
 
     /**
      * 状态码

src/main/java/com/yolo/keyborad/config/AppConfig.java

@@ -25,6 +25,9 @@ public class AppConfig {
          //新用户注册时的免费使用次数
         private Integer freeTrialQuota = 3;
 
+        //Vip用户每天能免费聊天次数
+        private Integer vipFreeTrialTalk = 3;
+
         //新用户注册时的奖励余额
         private BigDecimal rewardBalance = BigDecimal.valueOf(0);
     }

src/main/java/com/yolo/keyborad/config/DeepgramProperties.java

@@ -0,0 +1,34 @@
+package com.yolo.keyborad.config;
+
+import lombok.Data;
+import org.springframework.boot.context.properties.ConfigurationProperties;
+import org.springframework.stereotype.Component;
+
+/**
+ * Deepgram STT 配置
+ *
+ * @author ziin
+ */
+@Data
+@Component
+@ConfigurationProperties(prefix = "deepgram")
+public class DeepgramProperties {
+
+    /** API Key */
+    private String apiKey;
+
+    /** 基础 URL */
+    private String baseUrl = "https://api.deepgram.com/v1";
+
+    /** 模型 ID */
+    private String model = "nova-2";
+
+    /** 默认语言 */
+    private String language = "en";
+
+    /** 智能格式化 */
+    private Boolean smartFormat = true;
+
+    /** 添加标点符号 */
+    private Boolean punctuate = true;
+}

src/main/java/com/yolo/keyborad/config/ElevenLabsProperties.java

@@ -0,0 +1,66 @@
+package com.yolo.keyborad.config;
+
+import lombok.Data;
+import org.springframework.boot.context.properties.ConfigurationProperties;
+import org.springframework.stereotype.Component;
+
+/**
+ * ElevenLabs TTS 配置
+ *
+ * @author ziin
+ */
+@Data
+@Component
+@ConfigurationProperties(prefix = "elevenlabs")
+public class ElevenLabsProperties {
+
+    /**
+     * API Key
+     */
+    private String apiKey;
+
+    /**
+     * 基础 URL
+     */
+    private String baseUrl = "https://api.elevenlabs.io/v1";
+
+    /**
+     * 默认语音 ID
+     */
+    private String voiceId;
+
+    /**
+     * 模型 ID
+     */
+    private String modelId = "eleven_multilingual_v2";
+
+    /**
+     * 输出格式
+     */
+    private String outputFormat = "mp3_44100_128";
+
+    /**
+     * 稳定性 (0-1)
+     */
+    private Double stability = 0.5;
+
+    /**
+     * 相似度增强 (0-1)
+     */
+    private Double similarityBoost = 0.75;
+
+    /**
+     * 风格 (0-1)
+     */
+    private Double style = 0.0;
+
+    /**
+     * 语速 (0.7-1.2)
+     */
+    private Double speed = 1.0;
+
+    /**
+     * 使用说话人增强
+     */
+    private Boolean useSpeakerBoost = true;
+}

src/main/java/com/yolo/keyborad/config/RestClientConfig.java

@@ -0,0 +1,25 @@
+package com.yolo.keyborad.config;
+
+import org.springframework.context.annotation.Bean;
+import org.springframework.context.annotation.Configuration;
+import org.springframework.http.client.SimpleClientHttpRequestFactory;
+import org.springframework.web.client.RestClient;
+
+/**
+ * RestClient 配置类
+ * 提供连接池复用，优化 HTTP 请求性能
+ */
+@Configuration
+public class RestClientConfig {
+
+    @Bean
+    public RestClient restClient() {
+        SimpleClientHttpRequestFactory factory = new SimpleClientHttpRequestFactory();
+        factory.setConnectTimeout(30000);
+        factory.setReadTimeout(60000);
+
+        return RestClient.builder()
+                .requestFactory(factory)
+                .build();
+    }
+}

src/main/java/com/yolo/keyborad/config/SaTokenConfigure.java

@@ -108,7 +108,16 @@ public class SaTokenConfigure implements WebMvcConfigurer {
                 "/user/bindInviteCode",
                 "/themes/listAllStyles",
                 "/wallet/transactions",
-                "/themes/restore"
+                "/themes/restore",
+                "/chat/message",
+                "/chat/voice",
+                "/chat/audio/*",
+                "/ai-companion/page",
+                "/chat/history",
+                "/ai-companion/comment/add",
+                "/speech/transcribe",
+                "/ai-companion/comment/page",
+                "/ai-companion/liked"
         };
     }
     @Bean

src/main/java/com/yolo/keyborad/controller/AiCompanionCommentController.java

@@ -0,0 +1,78 @@
+package com.yolo.keyborad.controller;
+
+import cn.dev33.satoken.stp.StpUtil;
+import cn.hutool.core.util.StrUtil;
+import com.baomidou.mybatisplus.core.metadata.IPage;
+import com.yolo.keyborad.common.BaseResponse;
+import com.yolo.keyborad.common.ErrorCode;
+import com.yolo.keyborad.common.ResultUtils;
+import com.yolo.keyborad.exception.BusinessException;
+import com.yolo.keyborad.model.dto.comment.CommentAddReq;
+import com.yolo.keyborad.model.dto.comment.CommentLikeReq;
+import com.yolo.keyborad.model.dto.comment.CommentPageReq;
+import com.yolo.keyborad.model.vo.CommentVO;
+import com.yolo.keyborad.service.KeyboardAiCompanionCommentService;
+import com.yolo.keyborad.service.KeyboardAiCompanionCommentLikeService;
+import io.swagger.v3.oas.annotations.Operation;
+import io.swagger.v3.oas.annotations.tags.Tag;
+import jakarta.annotation.Resource;
+import lombok.extern.slf4j.Slf4j;
+import org.springframework.web.bind.annotation.*;
+
+/*
+ * @author: ziin
+ * @date: 2026/1/26
+ */
+@RestController
+@Slf4j
+@RequestMapping("/ai-companion/comment")
+@Tag(name = "AI陪聊角色评论", description = "AI陪聊角色评论管理接口")
+public class AiCompanionCommentController {
+
+    @Resource
+    private KeyboardAiCompanionCommentService commentService;
+
+    @Resource
+    private KeyboardAiCompanionCommentLikeService commentLikeService;
+
+    @PostMapping("/add")
+    @Operation(summary = "发表评论", description = "用户对AI陪聊角色发表评论")
+    public BaseResponse<Long> addComment(@RequestBody CommentAddReq req) {
+        if (req.getCompanionId() == null) {
+            throw new BusinessException(ErrorCode.COMPANION_ID_EMPTY);
+        }
+        if (StrUtil.isBlank(req.getContent())) {
+            throw new BusinessException(ErrorCode.COMMENT_CONTENT_EMPTY);
+        }
+
+        Long userId = StpUtil.getLoginIdAsLong();
+        Long commentId = commentService.addComment(userId, req.getCompanionId(), req.getContent(),
+                req.getParentId(), req.getRootId());
+        return ResultUtils.success(commentId);
+    }
+
+    @PostMapping("/page")
+    @Operation(summary = "分页查询评论", description = "分页查询AI陪聊角色的评论列表，包含当前用户是否已点赞状态")
+    public BaseResponse<IPage<CommentVO>> pageComments(@RequestBody CommentPageReq req) {
+        if (req.getCompanionId() == null) {
+            throw new BusinessException(ErrorCode.COMPANION_ID_EMPTY);
+        }
+
+        Long userId = StpUtil.getLoginIdAsLong();
+        IPage<CommentVO> result = commentService.pageCommentsWithLikeStatus(userId, req.getCompanionId(),
+                req.getPageNum(), req.getPageSize());
+        return ResultUtils.success(result);
+    }
+
+    @PostMapping("/like")
+    @Operation(summary = "点赞/取消点赞", description = "对评论进行点赞或取消点赞操作，返回true表示点赞成功，false表示取消点赞成功")
+    public BaseResponse<Boolean> toggleLike(@RequestBody CommentLikeReq req) {
+        if (req.getCommentId() == null) {
+            throw new BusinessException(ErrorCode.COMMENT_ID_EMPTY);
+        }
+
+        Long userId = StpUtil.getLoginIdAsLong();
+        boolean result = commentLikeService.toggleLike(userId, req.getCommentId());
+        return ResultUtils.success(result);
+    }
+}

src/main/java/com/yolo/keyborad/controller/AiCompanionController.java

@@ -0,0 +1,97 @@
+package com.yolo.keyborad.controller;
+
+import cn.dev33.satoken.stp.StpUtil;
+import com.baomidou.mybatisplus.core.metadata.IPage;
+import com.yolo.keyborad.common.BaseResponse;
+import com.yolo.keyborad.common.ErrorCode;
+import com.yolo.keyborad.common.ResultUtils;
+import com.yolo.keyborad.exception.BusinessException;
+import com.yolo.keyborad.model.dto.PageDTO;
+import com.yolo.keyborad.model.dto.companion.CompanionLikeReq;
+import com.yolo.keyborad.model.dto.companion.CompanionReportReq;
+import com.yolo.keyborad.model.vo.AiCompanionVO;
+import com.yolo.keyborad.service.KeyboardAiCompanionLikeService;
+import com.yolo.keyborad.service.KeyboardAiCompanionReportService;
+import com.yolo.keyborad.service.KeyboardAiCompanionService;
+import io.swagger.v3.oas.annotations.Operation;
+import io.swagger.v3.oas.annotations.tags.Tag;
+import jakarta.annotation.Resource;
+import lombok.extern.slf4j.Slf4j;
+import org.springframework.web.bind.annotation.*;
+
+import java.util.List;
+
+/*
+ * @author: ziin
+ * @date: 2026/1/26
+ */
+@RestController
+@Slf4j
+@RequestMapping("/ai-companion")
+@Tag(name = "AI陪聊角色", description = "AI陪聊角色管理接口")
+public class AiCompanionController {
+
+    @Resource
+    private KeyboardAiCompanionService aiCompanionService;
+
+    @Resource
+    private KeyboardAiCompanionLikeService aiCompanionLikeService;
+
+    @Resource
+    private KeyboardAiCompanionReportService aiCompanionReportService;
+
+    @PostMapping("/page")
+    @Operation(summary = "分页查询AI陪聊角色", description = "分页查询已上线的AI陪聊角色列表，包含点赞数、评论数和当前用户点赞状态")
+    public BaseResponse<IPage<AiCompanionVO>> pageList(@RequestBody PageDTO pageDTO) {
+        Long userId = StpUtil.getLoginIdAsLong();
+        IPage<AiCompanionVO> result = aiCompanionService.pageListWithLikeStatus(userId, pageDTO.getPageNum(), pageDTO.getPageSize());
+        return ResultUtils.success(result);
+    }
+
+    @PostMapping("/like")
+    @Operation(summary = "点赞/取消点赞AI角色", description = "对AI角色进行点赞或取消点赞操作，返回true表示点赞成功，false表示取消点赞成功")
+    public BaseResponse<Boolean> toggleLike(@RequestBody CompanionLikeReq req) {
+        if (req.getCompanionId() == null) {
+            throw new BusinessException(ErrorCode.COMPANION_ID_EMPTY);
+        }
+
+        Long userId = StpUtil.getLoginIdAsLong();
+        boolean result = aiCompanionLikeService.toggleLike(userId, req.getCompanionId());
+        return ResultUtils.success(result);
+    }
+
+    @GetMapping("/liked")
+    @Operation(summary = "获取当前用户点赞过的AI角色列表", description = "查询当前用户点赞过的所有AI角色，返回角色详细信息")
+    public BaseResponse<List<AiCompanionVO>> getLikedCompanions() {
+        Long userId = StpUtil.getLoginIdAsLong();
+        List<AiCompanionVO> result = aiCompanionService.getLikedCompanions(userId);
+        return ResultUtils.success(result);
+    }
+
+    @GetMapping("/chatted")
+    @Operation(summary = "获取当前用户聊过天的AI角色列表", description = "查询当前用户聊过天的所有AI角色，返回角色详细信息")
+    public BaseResponse<List<AiCompanionVO>> getChattedCompanions() {
+        Long userId = StpUtil.getLoginIdAsLong();
+        List<AiCompanionVO> result = aiCompanionService.getChattedCompanions(userId);
+        return ResultUtils.success(result);
+    }
+
+    @GetMapping("/{companionId}")
+    @Operation(summary = "根据ID获取AI角色详情", description = "根据AI角色ID查询角色详细信息，包含点赞数、评论数和当前用户点赞状态")
+    public BaseResponse<AiCompanionVO> getCompanionById(@PathVariable Long companionId) {
+        if (companionId == null) {
+            throw new BusinessException(ErrorCode.COMPANION_ID_EMPTY);
+        }
+        Long userId = StpUtil.getLoginIdAsLong();
+        AiCompanionVO result = aiCompanionService.getCompanionById(userId, companionId);
+        return ResultUtils.success(result);
+    }
+
+    @PostMapping("/report")
+    @Operation(summary = "举报AI角色", description = "举报AI角色，支持多种举报类型（可多选）：1=色情低俗, 2=政治敏感, 3=暴力恐怖, 4=侵权/冒充, 5=价值观问题, 99=其他")
+    public BaseResponse<Long> reportCompanion(@RequestBody CompanionReportReq req) {
+        Long userId = StpUtil.getLoginIdAsLong();
+        Long reportId = aiCompanionReportService.reportCompanion(userId, req);
+        return ResultUtils.success(reportId);
+    }
+}

src/main/java/com/yolo/keyborad/controller/ChatController.java

@@ -3,15 +3,26 @@ package com.yolo.keyborad.controller;
 import cn.dev33.satoken.stp.StpUtil;
 import cn.hutool.core.util.IdUtil;
 import cn.hutool.core.util.StrUtil;
+import com.baomidou.mybatisplus.core.metadata.IPage;
 import com.yolo.keyborad.common.BaseResponse;
 import com.yolo.keyborad.common.ErrorCode;
 import com.yolo.keyborad.common.ResultUtils;
 import com.yolo.keyborad.exception.BusinessException;
 import com.yolo.keyborad.mapper.QdrantPayloadMapper;
+import com.yolo.keyborad.model.dto.chat.ChatHistoryPageReq;
+import com.yolo.keyborad.model.dto.chat.ChatMessageReq;
 import com.yolo.keyborad.model.dto.chat.ChatReq;
 import com.yolo.keyborad.model.dto.chat.ChatSaveReq;
 import com.yolo.keyborad.model.dto.chat.ChatStreamMessage;
+import com.yolo.keyborad.model.dto.chat.SessionResetReq;
+import com.yolo.keyborad.model.vo.AudioTaskVO;
+import com.yolo.keyborad.model.vo.ChatMessageHistoryVO;
+import com.yolo.keyborad.model.vo.ChatMessageVO;
+import com.yolo.keyborad.model.vo.ChatSessionVO;
+import com.yolo.keyborad.model.vo.ChatVoiceVO;
 import com.yolo.keyborad.service.ChatService;
+import com.yolo.keyborad.service.KeyboardAiChatMessageService;
+import com.yolo.keyborad.service.KeyboardAiChatSessionService;
 import com.yolo.keyborad.service.impl.QdrantVectorService;
 import io.qdrant.client.grpc.JsonWithInt;
 import io.swagger.v3.oas.annotations.Operation;
@@ -44,6 +55,40 @@ public class ChatController {
     @Resource
     private ChatService chatService;
 
+    @Resource
+    private KeyboardAiChatMessageService aiChatMessageService;
+
+    @Resource
+    private KeyboardAiChatSessionService aiChatSessionService;
+
+
+    @PostMapping("/message")
+    @Operation(summary = "同步对话", description = "发送消息给大模型，同步返回 AI 响应，异步生成音频")
+    public BaseResponse<ChatMessageVO> message(@RequestBody ChatMessageReq req  ) {
+        if (StrUtil.isBlank(req.getContent())) {
+            throw new BusinessException(ErrorCode.COMPANION_MESSAGE_EMPTY);
+        }
+        if (req.getCompanionId() == null) {
+            throw new BusinessException(ErrorCode.COMPANION_ID_EMPTY);
+        }
+
+        String userId = StpUtil.getLoginIdAsString();
+        ChatMessageVO result = chatService.message(req.getContent(), userId, req.getCompanionId());
+
+        return ResultUtils.success(result);
+    }
+
+
+    @GetMapping("/audio/{audioId}")
+    @Operation(summary = "查询音频状态", description = "根据音频 ID 查询音频生成状态和 URL")
+    public BaseResponse<AudioTaskVO> getAudioTask(@PathVariable("audioId") String audioId) {
+        if (StrUtil.isBlank(audioId)) {
+            throw new BusinessException(ErrorCode.PARAMS_ERROR, "音频 ID 不能为空");
+        }
+
+        AudioTaskVO result = chatService.getAudioTask(audioId);
+        return ResultUtils.success(result);
+    }
 
     @PostMapping("/talk")
     @Operation(summary = "聊天润色接口", description = "聊天润色接口")
@@ -79,4 +124,37 @@ public class ChatController {
         log.info("聊天嵌入保存成功，用户ID: {}, 文本长度: {}", chatSaveReq.getUserId(), chatSaveReq.getUserText().length());
         return ResultUtils.success(true);
     }
+
+    @PostMapping("/history")
+    @Operation(summary = "分页查询聊天记录", description = "分页查询用户与AI陪聊角色的聊天记录")
+    public BaseResponse<IPage<ChatMessageHistoryVO>> pageHistory(@RequestBody ChatHistoryPageReq req) {
+        if (req.getCompanionId() == null) {
+            throw new BusinessException(ErrorCode.COMPANION_ID_EMPTY);
+        }
+
+        Long userId = StpUtil.getLoginIdAsLong();
+        IPage<ChatMessageHistoryVO> result = aiChatMessageService.pageHistory(
+                userId, req.getCompanionId(), req.getPageNum(), req.getPageSize());
+        return ResultUtils.success(result);
+    }
+
+    @PostMapping("/session/reset")
+    @Operation(summary = "重置会话", description = "重置与AI角色的聊天会话，将当前会话设为不活跃并创建新会话，后续聊天记录将绑定到新会话")
+    public BaseResponse<ChatSessionVO> resetSession(@RequestBody SessionResetReq req) {
+        if (req.getCompanionId() == null) {
+            throw new BusinessException(ErrorCode.COMPANION_ID_EMPTY);
+        }
+
+        Long userId = StpUtil.getLoginIdAsLong();
+        var newSession = aiChatSessionService.resetSession(userId, req.getCompanionId());
+
+        ChatSessionVO vo = ChatSessionVO.builder()
+                .sessionId(newSession.getId())
+                .companionId(newSession.getCompanionId())
+                .resetVersion(newSession.getResetVersion())
+                .createdAt(newSession.getCreatedAt())
+                .build();
+
+        return ResultUtils.success(vo);
+    }
 }

src/main/java/com/yolo/keyborad/controller/SpeechController.java

@@ -0,0 +1,34 @@
+package com.yolo.keyborad.controller;
+
+import com.yolo.keyborad.common.BaseResponse;
+import com.yolo.keyborad.common.ResultUtils;
+import com.yolo.keyborad.model.vo.SpeechToTextVO;
+import com.yolo.keyborad.service.DeepgramService;
+import io.swagger.v3.oas.annotations.Operation;
+import io.swagger.v3.oas.annotations.tags.Tag;
+import jakarta.annotation.Resource;
+import lombok.extern.slf4j.Slf4j;
+import org.springframework.web.bind.annotation.*;
+import org.springframework.web.multipart.MultipartFile;
+
+/**
+ * 语音服务控制器
+ *
+ * @author ziin
+ */
+@RestController
+@Slf4j
+@RequestMapping("/speech")
+@Tag(name = "语音服务", description = "语音相关功能接口")
+public class SpeechController {
+
+    @Resource
+    private DeepgramService deepgramService;
+
+    @PostMapping("/transcribe")
+    @Operation(summary = "语音转文字", description = "上传音频文件并转换为文本")
+    public BaseResponse<SpeechToTextVO> transcribe(@RequestPart("file") MultipartFile file) {
+        SpeechToTextVO result = deepgramService.transcribe(file);
+        return ResultUtils.success(result);
+    }
+}

src/main/java/com/yolo/keyborad/mapper/KeyboardAiChatMessageMapper.java

@@ -0,0 +1,12 @@
+package com.yolo.keyborad.mapper;
+
+import com.baomidou.mybatisplus.core.mapper.BaseMapper;
+import com.yolo.keyborad.model.entity.KeyboardAiChatMessage;
+
+/*
+* @author: ziin
+* @date: 2026/1/26 17:00
+*/
+    
+public interface KeyboardAiChatMessageMapper extends BaseMapper<KeyboardAiChatMessage> {
+}

src/main/java/com/yolo/keyborad/mapper/KeyboardAiChatSessionMapper.java

@@ -0,0 +1,12 @@
+package com.yolo.keyborad.mapper;
+
+import com.baomidou.mybatisplus.core.mapper.BaseMapper;
+import com.yolo.keyborad.model.entity.KeyboardAiChatSession;
+
+/*
+* @author: ziin
+* @date: 2026/1/28 16:20
+*/
+    
+public interface KeyboardAiChatSessionMapper extends BaseMapper<KeyboardAiChatSession> {
+}

src/main/java/com/yolo/keyborad/mapper/KeyboardAiCompanionCommentLikeMapper.java

@@ -0,0 +1,12 @@
+package com.yolo.keyborad.mapper;
+
+import com.baomidou.mybatisplus.core.mapper.BaseMapper;
+import com.yolo.keyborad.model.entity.KeyboardAiCompanionCommentLike;
+
+/*
+ * @author: ziin
+ * @date: 2026/1/26 20:57
+ */
+
+public interface KeyboardAiCompanionCommentLikeMapper extends BaseMapper<KeyboardAiCompanionCommentLike> {
+}

src/main/java/com/yolo/keyborad/mapper/KeyboardAiCompanionCommentMapper.java

@@ -0,0 +1,12 @@
+package com.yolo.keyborad.mapper;
+
+import com.baomidou.mybatisplus.core.mapper.BaseMapper;
+import com.yolo.keyborad.model.entity.KeyboardAiCompanionComment;
+
+/*
+* @author: ziin
+* @date: 2026/1/26 20:31
+*/
+    
+public interface KeyboardAiCompanionCommentMapper extends BaseMapper<KeyboardAiCompanionComment> {
+}

src/main/java/com/yolo/keyborad/mapper/KeyboardAiCompanionLikeMapper.java

@@ -0,0 +1,12 @@
+package com.yolo.keyborad.mapper;
+
+import com.baomidou.mybatisplus.core.mapper.BaseMapper;
+import com.yolo.keyborad.model.entity.KeyboardAiCompanionLike;
+
+/*
+* @author: ziin
+* @date: 2026/1/27 18:18
+*/
+    
+public interface KeyboardAiCompanionLikeMapper extends BaseMapper<KeyboardAiCompanionLike> {
+}

src/main/java/com/yolo/keyborad/mapper/KeyboardAiCompanionMapper.java

@@ -0,0 +1,12 @@
+package com.yolo.keyborad.mapper;
+
+import com.baomidou.mybatisplus.core.mapper.BaseMapper;
+import com.yolo.keyborad.model.entity.KeyboardAiCompanion;
+
+/*
+* @author: ziin
+* @date: 2026/1/26 13:51
+*/
+    
+public interface KeyboardAiCompanionMapper extends BaseMapper<KeyboardAiCompanion> {
+}

src/main/java/com/yolo/keyborad/mapper/KeyboardAiCompanionReportMapper.java

@@ -0,0 +1,12 @@
+package com.yolo.keyborad.mapper;
+
+import com.baomidou.mybatisplus.core.mapper.BaseMapper;
+import com.yolo.keyborad.model.entity.KeyboardAiCompanionReport;
+
+/*
+* @author: ziin
+* @date: 2026/1/29 16:17
+*/
+    
+public interface KeyboardAiCompanionReportMapper extends BaseMapper<KeyboardAiCompanionReport> {
+}

src/main/java/com/yolo/keyborad/model/dto/chat/ChatHistoryPageReq.java

@@ -0,0 +1,22 @@
+package com.yolo.keyborad.model.dto.chat;
+
+import io.swagger.v3.oas.annotations.media.Schema;
+import lombok.Data;
+
+/*
+ * @author: ziin
+ * @date: 2026/1/26
+ */
+@Data
+@Schema(description = "聊天记录分页查询请求")
+public class ChatHistoryPageReq {
+
+    @Schema(description = "AI陪聊角色ID", requiredMode = Schema.RequiredMode.REQUIRED)
+    private Long companionId;
+
+    @Schema(description = "页码", example = "1")
+    private Integer pageNum = 1;
+
+    @Schema(description = "每页数量", example = "20")
+    private Integer pageSize = 20;
+}

src/main/java/com/yolo/keyborad/model/dto/chat/ChatMessageReq.java

@@ -0,0 +1,19 @@
+package com.yolo.keyborad.model.dto.chat;
+
+import io.swagger.v3.oas.annotations.media.Schema;
+import lombok.Data;
+
+/*
+ * @author: ziin
+ * @date: 2025/12/8 15:05
+ */
+@Data
+@Schema(description = "同步对话请求")
+public class ChatMessageReq {
+
+    @Schema(description = "消息内容", requiredMode = Schema.RequiredMode.REQUIRED)
+    private String content;
+
+    @Schema(description = "AI陪聊角色ID", requiredMode = Schema.RequiredMode.REQUIRED)
+    private Long companionId;
+}

src/main/java/com/yolo/keyborad/model/dto/chat/SessionResetReq.java

@@ -0,0 +1,16 @@
+package com.yolo.keyborad.model.dto.chat;
+
+import io.swagger.v3.oas.annotations.media.Schema;
+import lombok.Data;
+
+/*
+ * @author: ziin
+ * @date: 2026/1/28
+ */
+@Data
+@Schema(description = "会话重置请求")
+public class SessionResetReq {
+
+    @Schema(description = "AI陪聊角色ID", requiredMode = Schema.RequiredMode.REQUIRED)
+    private Long companionId;
+}

src/main/java/com/yolo/keyborad/model/dto/comment/CommentAddReq.java

@@ -0,0 +1,25 @@
+package com.yolo.keyborad.model.dto.comment;
+
+import io.swagger.v3.oas.annotations.media.Schema;
+import lombok.Data;
+
+/*
+ * @author: ziin
+ * @date: 2026/1/26
+ */
+@Data
+@Schema(description = "发表评论请求")
+public class CommentAddReq {
+
+    @Schema(description = "被评论的AI陪伴角色ID", requiredMode = Schema.RequiredMode.REQUIRED)
+    private Long companionId;
+
+    @Schema(description = "评论内容", requiredMode = Schema.RequiredMode.REQUIRED)
+    private String content;
+
+    @Schema(description = "父评论ID，NULL表示一级评论")
+    private Long parentId;
+
+    @Schema(description = "根评论ID，用于标识同一评论线程")
+    private Long rootId;
+}

src/main/java/com/yolo/keyborad/model/dto/comment/CommentLikeReq.java

@@ -0,0 +1,16 @@
+package com.yolo.keyborad.model.dto.comment;
+
+import io.swagger.v3.oas.annotations.media.Schema;
+import lombok.Data;
+
+/*
+ * @author: ziin
+ * @date: 2026/1/26
+ */
+@Data
+@Schema(description = "评论点赞请求")
+public class CommentLikeReq {
+
+    @Schema(description = "评论ID", requiredMode = Schema.RequiredMode.REQUIRED)
+    private Long commentId;
+}

src/main/java/com/yolo/keyborad/model/dto/comment/CommentPageReq.java

@@ -0,0 +1,22 @@
+package com.yolo.keyborad.model.dto.comment;
+
+import io.swagger.v3.oas.annotations.media.Schema;
+import lombok.Data;
+
+/*
+ * @author: ziin
+ * @date: 2026/1/26
+ */
+@Data
+@Schema(description = "评论分页查询请求")
+public class CommentPageReq {
+
+    @Schema(description = "AI陪伴角色ID", requiredMode = Schema.RequiredMode.REQUIRED)
+    private Long companionId;
+
+    @Schema(description = "页码", example = "1")
+    private Integer pageNum = 1;
+
+    @Schema(description = "每页数量", example = "20")
+    private Integer pageSize = 20;
+}

src/main/java/com/yolo/keyborad/model/dto/companion/CompanionLikeReq.java

@@ -0,0 +1,16 @@
+package com.yolo.keyborad.model.dto.companion;
+
+import io.swagger.v3.oas.annotations.media.Schema;
+import lombok.Data;
+
+/*
+ * @author: ziin
+ * @date: 2026/1/27
+ */
+@Data
+@Schema(description = "AI角色点赞请求")
+public class CompanionLikeReq {
+
+    @Schema(description = "AI角色ID", requiredMode = Schema.RequiredMode.REQUIRED)
+    private Long companionId;
+}

src/main/java/com/yolo/keyborad/model/dto/companion/CompanionReportReq.java

@@ -0,0 +1,30 @@
+package com.yolo.keyborad.model.dto.companion;
+
+import io.swagger.v3.oas.annotations.media.Schema;
+import lombok.Data;
+
+import java.util.List;
+
+/*
+ * @author: ziin
+ * @date: 2026/1/29
+ */
+@Data
+@Schema(description = "AI角色举报请求")
+public class CompanionReportReq {
+
+    @Schema(description = "AI角色ID", requiredMode = Schema.RequiredMode.REQUIRED)
+    private Long companionId;
+
+    @Schema(description = "举报类型列表：1=色情低俗, 2=政治敏感, 3=暴力恐怖, 4=侵权/冒充, 5=价值观问题, 99=其他，支持多选", requiredMode = Schema.RequiredMode.REQUIRED)
+    private List<Short> reportTypes;
+
+    @Schema(description = "详细描述")
+    private String reportDesc;
+
+    @Schema(description = "聊天上下文快照JSON")
+    private String chatContext;
+
+    @Schema(description = "图片证据URL")
+    private String evidenceImageUrl;
+}

src/main/java/com/yolo/keyborad/model/entity/KeyboardAiChatMessage.java

@@ -0,0 +1,82 @@
+package com.yolo.keyborad.model.entity;
+
+import com.baomidou.mybatisplus.annotation.IdType;
+import com.baomidou.mybatisplus.annotation.TableField;
+import com.baomidou.mybatisplus.annotation.TableId;
+import com.baomidou.mybatisplus.annotation.TableName;
+import io.swagger.v3.oas.annotations.media.Schema;
+import java.util.Date;
+import lombok.Data;
+
+/*
+* @author: ziin
+* @date: 2026/1/26 17:00
+*/
+    
+/**
+ * 用户与AI情感陪伴角色的聊天记录表
+ */
+@Schema(description="用户与AI情感陪伴角色的聊天记录表")
+@Data
+@TableName(value = "keyboard_ai_chat_message")
+public class KeyboardAiChatMessage {
+    /**
+     * 聊天消息唯一ID
+     */
+    @TableId(value = "id", type = IdType.AUTO)
+    @Schema(description="聊天消息唯一ID")
+    private Long id;
+
+    /**
+     * 用户ID
+     */
+    @TableField(value = "user_id")
+    @Schema(description="用户ID")
+    private Long userId;
+
+    /**
+     * 陪伴角色ID
+     */
+    @TableField(value = "companion_id")
+    @Schema(description="陪伴角色ID")
+    private Long companionId;
+
+    /**
+     * 消息发送方：1=用户，2=AI
+     */
+    @TableField(value = "sender")
+    @Schema(description="消息发送方：1=用户，2=AI")
+    private Short sender;
+
+    /**
+     * 聊天消息内容
+     */
+    @TableField(value = "content")
+    @Schema(description="聊天消息内容")
+    private String content;
+
+    /**
+     * AI识别到的用户情绪
+     */
+    @TableField(value = "emotion_detected")
+    @Schema(description="AI识别到的用户情绪")
+    private String emotionDetected;
+
+    /**
+     * AI提供的支持类型（倾听/共情/安抚等）
+     */
+    @TableField(value = "support_type")
+    @Schema(description="AI提供的支持类型（倾听/共情/安抚等）")
+    private String supportType;
+
+    /**
+     * 消息创建时间
+     */
+    @TableField(value = "created_at")
+    @Schema(description="消息创建时间")
+    private Date createdAt;
+
+    @TableField(value = "session_id")
+    @Schema(description = "会话Id")
+    private Long sessionId;
+}

src/main/java/com/yolo/keyborad/model/entity/KeyboardAiChatSession.java

@@ -0,0 +1,71 @@
+package com.yolo.keyborad.model.entity;
+
+import com.baomidou.mybatisplus.annotation.IdType;
+import com.baomidou.mybatisplus.annotation.TableField;
+import com.baomidou.mybatisplus.annotation.TableId;
+import com.baomidou.mybatisplus.annotation.TableName;
+import io.swagger.v3.oas.annotations.media.Schema;
+import java.util.Date;
+import lombok.Data;
+
+/*
+* @author: ziin
+* @date: 2026/1/28 16:20
+*/
+    
+/**
+ * 用户与AI陪伴角色的聊天会话表，用于支持聊天重置与关系重启
+ */
+@Schema(description="用户与AI陪伴角色的聊天会话表，用于支持聊天重置与关系重启")
+@Data
+@TableName(value = "keyboard_ai_chat_session")
+public class KeyboardAiChatSession {
+    /**
+     * 聊天会话唯一ID
+     */
+    @TableId(value = "id", type = IdType.AUTO)
+    @Schema(description="聊天会话唯一ID")
+    private Long id;
+
+    /**
+     * 用户ID
+     */
+    @TableField(value = "user_id")
+    @Schema(description="用户ID")
+    private Long userId;
+
+    /**
+     * 陪伴角色ID
+     */
+    @TableField(value = "companion_id")
+    @Schema(description="陪伴角色ID")
+    private Long companionId;
+
+    /**
+     * 会话重置版本号，用于标识第几次重新开始陪伴关系
+     */
+    @TableField(value = "reset_version")
+    @Schema(description="会话重置版本号，用于标识第几次重新开始陪伴关系")
+    private Integer resetVersion;
+
+    /**
+     * 是否为当前活跃会话（true=当前使用中）
+     */
+    @TableField(value = "is_active")
+    @Schema(description="是否为当前活跃会话（true=当前使用中）")
+    private Boolean isActive;
+
+    /**
+     * 会话创建时间
+     */
+    @TableField(value = "created_at")
+    @Schema(description="会话创建时间")
+    private Date createdAt;
+
+    /**
+     * 会话结束时间（用户重置或系统关闭会话时记录）
+     */
+    @TableField(value = "ended_at")
+    @Schema(description="会话结束时间（用户重置或系统关闭会话时记录）")
+    private Date endedAt;
+}

src/main/java/com/yolo/keyborad/model/entity/KeyboardAiCompanion.java

@@ -0,0 +1,149 @@
+package com.yolo.keyborad.model.entity;
+
+import com.baomidou.mybatisplus.annotation.IdType;
+import com.baomidou.mybatisplus.annotation.TableField;
+import com.baomidou.mybatisplus.annotation.TableId;
+import com.baomidou.mybatisplus.annotation.TableName;
+import io.swagger.v3.oas.annotations.media.Schema;
+import java.util.Date;
+import lombok.Data;
+
+/*
+* @author: ziin
+* @date: 2026/1/26 13:51
+*/
+    
+/**
+ * AI陪聊角色表，用于定义恋爱/陪伴型虚拟角色的基础信息与人设
+ */
+@Schema(description="AI陪聊角色表，用于定义恋爱/陪伴型虚拟角色的基础信息与人设")
+@Data
+@TableName(value = "keyboard_ai_companion")
+public class KeyboardAiCompanion {
+    /**
+     * 陪聊角色唯一ID
+     */
+    @TableId(value = "id", type = IdType.AUTO)
+    @Schema(description="陪聊角色唯一ID")
+    private Long id;
+
+    /**
+     * 角色名称（展示用，如：Katie Leona）
+     */
+    @TableField(value = "\"name\"")
+    @Schema(description="角色名称（展示用，如：Katie Leona）")
+    private String name;
+
+    /**
+     * 角色头像URL，用于列表页和聊天页
+     */
+    @TableField(value = "avatar_url")
+    @Schema(description="角色头像URL，用于列表页和聊天页")
+    private String avatarUrl;
+
+    /**
+     * 角色封面图URL，用于角色详情页
+     */
+    @TableField(value = "cover_image_url")
+    @Schema(description="角色封面图URL，用于角色详情页")
+    private String coverImageUrl;
+
+    /**
+     * 角色性别（male / female / other）
+     */
+    @TableField(value = "gender")
+    @Schema(description="角色性别（male / female / other）")
+    private String gender;
+
+    /**
+     * 角色年龄段描述（如：20s、25-30）
+     */
+    @TableField(value = "age_range")
+    @Schema(description="角色年龄段描述（如：20s、25-30）")
+    private String ageRange;
+
+    /**
+     * 一句话人设描述，用于卡片或列表展示
+     */
+    @TableField(value = "short_desc")
+    @Schema(description="一句话人设描述，用于卡片或列表展示")
+    private String shortDesc;
+
+    /**
+     * 角色详细介绍文案，用于角色详情页
+     */
+    @TableField(value = "intro_text")
+    @Schema(description="角色详细介绍文案，用于角色详情页")
+    private String introText;
+
+    /**
+     * 角色性格标签数组（如：温柔、黏人、治愈）
+     */
+    @TableField(value = "personality_tags")
+    @Schema(description="角色性格标签数组（如：温柔、黏人、治愈）")
+    private String personalityTags;
+
+    /**
+     * 角色说话风格（如：撒娇型、理性型、活泼型）
+     */
+    @TableField(value = "speaking_style")
+    @Schema(description="角色说话风格（如：撒娇型、理性型、活泼型）")
+    private String speakingStyle;
+
+    /**
+     * AI系统Prompt，定义角色核心人设，仅供模型使用
+     */
+    @TableField(value = "system_prompt")
+    @Schema(description="AI系统Prompt，定义角色核心人设，仅供模型使用")
+    private String systemPrompt;
+
+    /**
+     * 角色状态：1=上线，0=下线
+     */
+    @TableField(value = "\"status\"")
+    @Schema(description="角色状态：1=上线，0=下线")
+    private Short status;
+
+    /**
+     * 角色可见性：1=公开，2=内测，3=隐藏
+     */
+    @TableField(value = "visibility")
+    @Schema(description="角色可见性：1=公开，2=内测，3=隐藏")
+    private Short visibility;
+
+    /**
+     * 排序权重，数值越大排序越靠前
+     */
+    @TableField(value = "sort_order")
+    @Schema(description="排序权重，数值越大排序越靠前")
+    private Integer sortOrder;
+
+    /**
+     * 角色热度评分，用于推荐排序
+     */
+    @TableField(value = "popularity_score")
+    @Schema(description="角色热度评分，用于推荐排序")
+    private Integer popularityScore;
+
+    /**
+     * 创建时间
+     */
+    @TableField(value = "created_at")
+    @Schema(description="创建时间")
+    private Date createdAt;
+
+    /**
+     * 更新时间
+     */
+    @TableField(value = "updated_at")
+    @Schema(description="更新时间")
+    private Date updatedAt;
+
+    @TableField(value = "prologue")
+    @Schema(description="开场白")
+    private String prologue;
+
+    @TableField(value = "prologue_audio")
+    @Schema(description="开场白音频")
+    private String prologueAudio;
+}

src/main/java/com/yolo/keyborad/model/entity/KeyboardAiCompanionComment.java

@@ -0,0 +1,99 @@
+package com.yolo.keyborad.model.entity;
+
+import com.baomidou.mybatisplus.annotation.IdType;
+import com.baomidou.mybatisplus.annotation.TableField;
+import com.baomidou.mybatisplus.annotation.TableId;
+import com.baomidou.mybatisplus.annotation.TableName;
+import io.swagger.v3.oas.annotations.media.Schema;
+import java.util.Date;
+import lombok.Data;
+
+/*
+* @author: ziin
+* @date: 2026/1/26 20:31
+*/
+    
+/**
+ * 用户对AI陪伴角色的评论表，支持多级评论结构（一级评论与回复）
+ */
+@Schema(description="用户对AI陪伴角色的评论表，支持多级评论结构（一级评论与回复）")
+@Data
+@TableName(value = "keyboard_ai_companion_comment")
+public class KeyboardAiCompanionComment {
+    /**
+     * 评论唯一ID
+     */
+    @TableId(value = "id", type = IdType.AUTO)
+    @Schema(description="评论唯一ID")
+    private Long id;
+
+    /**
+     * 被评论的AI陪伴角色ID
+     */
+    @TableField(value = "companion_id")
+    @Schema(description="被评论的AI陪伴角色ID")
+    private Long companionId;
+
+    /**
+     * 发表评论的用户ID
+     */
+    @TableField(value = "user_id")
+    @Schema(description="发表评论的用户ID")
+    private Long userId;
+
+    /**
+     * 父评论ID，NULL表示一级评论
+     */
+    @TableField(value = "parent_id")
+    @Schema(description="父评论ID，NULL表示一级评论")
+    private Long parentId;
+
+    /**
+     * 根评论ID，用于标识同一评论线程
+     */
+    @TableField(value = "root_id")
+    @Schema(description="根评论ID，用于标识同一评论线程")
+    private Long rootId;
+
+    /**
+     * 评论内容
+     */
+    @TableField(value = "content")
+    @Schema(description="评论内容")
+    private String content;
+
+    /**
+     * 点赞数量
+     */
+    @TableField(value = "\"like\"")
+    @Schema(description="点赞数量")
+    private Long like;
+
+    /**
+     * 评论状态：1=正常，0=隐藏，-1=删除
+     */
+    @TableField(value = "\"status\"")
+    @Schema(description="评论状态：1=正常，0=隐藏，-1=删除")
+    private Short status;
+
+    /**
+     * 评论点赞数
+     */
+    @TableField(value = "like_count")
+    @Schema(description="评论点赞数")
+    private Integer likeCount;
+
+    /**
+     * 评论创建时间
+     */
+    @TableField(value = "created_at")
+    @Schema(description="评论创建时间")
+    private Date createdAt;
+
+    /**
+     * 评论更新时间
+     */
+    @TableField(value = "updated_at")
+    @Schema(description="评论更新时间")
+    private Date updatedAt;
+}

src/main/java/com/yolo/keyborad/model/entity/KeyboardAiCompanionCommentLike.java

@@ -0,0 +1,64 @@
+package com.yolo.keyborad.model.entity;
+
+import com.baomidou.mybatisplus.annotation.IdType;
+import com.baomidou.mybatisplus.annotation.TableField;
+import com.baomidou.mybatisplus.annotation.TableId;
+import com.baomidou.mybatisplus.annotation.TableName;
+import io.swagger.v3.oas.annotations.media.Schema;
+import java.util.Date;
+import lombok.Data;
+
+/*
+* @author: ziin
+* @date: 2026/1/26 20:57
+*/
+
+/**
+ * 用户对AI陪伴角色评论的点赞记录表，用于记录点赞与取消点赞行为
+ */
+@Schema(description = "用户对AI陪伴角色评论的点赞记录表，用于记录点赞与取消点赞行为")
+@Data
+@TableName(value = "keyboard_ai_companion_comment_like")
+public class KeyboardAiCompanionCommentLike {
+    /**
+     * 评论点赞记录唯一ID
+     */
+    @TableId(value = "id", type = IdType.AUTO)
+    @Schema(description = "评论点赞记录唯一ID")
+    private Long id;
+
+    /**
+     * 被点赞的评论ID
+     */
+    @TableField(value = "comment_id")
+    @Schema(description = "被点赞的评论ID")
+    private Long commentId;
+
+    /**
+     * 点赞用户ID
+     */
+    @TableField(value = "user_id")
+    @Schema(description = "点赞用户ID")
+    private Long userId;
+
+    /**
+     * 点赞状态：1=已点赞，0=已取消
+     */
+    @TableField(value = "\"status\"")
+    @Schema(description = "点赞状态：1=已点赞，0=已取消")
+    private Short status;
+
+    /**
+     * 点赞记录创建时间
+     */
+    @TableField(value = "created_at")
+    @Schema(description = "点赞记录创建时间")
+    private Date createdAt;
+
+    /**
+     * 点赞状态更新时间
+     */
+    @TableField(value = "updated_at")
+    @Schema(description = "点赞状态更新时间")
+    private Date updatedAt;
+}

src/main/java/com/yolo/keyborad/model/entity/KeyboardAiCompanionLike.java

@@ -0,0 +1,64 @@
+package com.yolo.keyborad.model.entity;
+
+import com.baomidou.mybatisplus.annotation.IdType;
+import com.baomidou.mybatisplus.annotation.TableField;
+import com.baomidou.mybatisplus.annotation.TableId;
+import com.baomidou.mybatisplus.annotation.TableName;
+import io.swagger.v3.oas.annotations.media.Schema;
+import java.util.Date;
+import lombok.Data;
+
+/*
+* @author: ziin
+* @date: 2026/1/27 18:18
+*/
+    
+/**
+ * 用户对AI陪伴角色的点赞行为记录表，用于记录点赞与取消点赞
+ */
+@Schema(description="用户对AI陪伴角色的点赞行为记录表，用于记录点赞与取消点赞")
+@Data
+@TableName(value = "keyboard_ai_companion_like")
+public class KeyboardAiCompanionLike {
+    /**
+     * AI角色点赞记录唯一ID
+     */
+    @TableId(value = "id", type = IdType.AUTO)
+    @Schema(description="AI角色点赞记录唯一ID")
+    private Long id;
+
+    /**
+     * 被点赞的AI陪伴角色ID
+     */
+    @TableField(value = "companion_id")
+    @Schema(description="被点赞的AI陪伴角色ID")
+    private Long companionId;
+
+    /**
+     * 执行点赞操作的用户ID
+     */
+    @TableField(value = "user_id")
+    @Schema(description="执行点赞操作的用户ID")
+    private Long userId;
+
+    /**
+     * 点赞状态：1=已点赞，0=已取消
+     */
+    @TableField(value = "\"status\"")
+    @Schema(description="点赞状态：1=已点赞，0=已取消")
+    private Short status;
+
+    /**
+     * 首次点赞时间
+     */
+    @TableField(value = "created_at")
+    @Schema(description="首次点赞时间")
+    private Date createdAt;
+
+    /**
+     * 点赞状态最近更新时间
+     */
+    @TableField(value = "updated_at")
+    @Schema(description="点赞状态最近更新时间")
+    private Date updatedAt;
+}

src/main/java/com/yolo/keyborad/model/entity/KeyboardAiCompanionReport.java

@@ -0,0 +1,99 @@
+package com.yolo.keyborad.model.entity;
+
+import com.baomidou.mybatisplus.annotation.IdType;
+import com.baomidou.mybatisplus.annotation.TableField;
+import com.baomidou.mybatisplus.annotation.TableId;
+import com.baomidou.mybatisplus.annotation.TableName;
+import io.swagger.v3.oas.annotations.media.Schema;
+import java.util.Date;
+import lombok.Data;
+
+/*
+* @author: ziin
+* @date: 2026/1/29 16:17
+*/
+    
+/**
+ * AI角色举报记录表
+ */
+@Schema(description="AI角色举报记录表")
+@Data
+@TableName(value = "keyboard_ai_companion_report")
+public class KeyboardAiCompanionReport {
+    /**
+     * 举报记录唯一ID
+     */
+    @TableId(value = "id", type = IdType.AUTO)
+    @Schema(description="举报记录唯一ID")
+    private Long id;
+
+    /**
+     * 被举报的AI角色ID（逻辑关联 keyboard_ai_companion.id，无物理外键）
+     */
+    @TableField(value = "companion_id")
+    @Schema(description="被举报的AI角色ID（逻辑关联 keyboard_ai_companion.id，无物理外键）")
+    private Long companionId;
+
+    /**
+     * 发起举报的用户ID（逻辑关联用户表）
+     */
+    @TableField(value = "user_id")
+    @Schema(description="发起举报的用户ID（逻辑关联用户表）")
+    private Long userId;
+
+    /**
+     * 举报类型：1=色情低俗, 2=政治敏感, 3=暴力恐怖, 4=侵权/冒充, 5=价值观问题, 99=其他，多选时逗号分隔
+     */
+    @TableField(value = "report_type")
+    @Schema(description="举报类型：1=色情低俗, 2=政治敏感, 3=暴力恐怖, 4=侵权/冒充, 5=价值观问题, 99=其他，多选时逗号分隔")
+    private String reportType;
+
+    /**
+     * 用户填写的详细举报描述
+     */
+    @TableField(value = "report_desc")
+    @Schema(description="用户填写的详细举报描述")
+    private String reportDesc;
+
+    /**
+     * 违规现场：举报时的聊天上下文快照（建议存JSON字符串），用于审核取证
+     */
+    @TableField(value = "chat_context")
+    @Schema(description="违规现场：举报时的聊天上下文快照（建议存JSON字符串），用于审核取证")
+    private String chatContext;
+
+    /**
+     * 图片证据：用户上传的截图URL
+     */
+    @TableField(value = "evidence_image_url")
+    @Schema(description="图片证据：用户上传的截图URL")
+    private String evidenceImageUrl;
+
+    /**
+     * 处理状态：0=待处理, 1=违规确立(已处罚), 2=无效举报/已驳回, 3=已忽略
+     */
+    @TableField(value = "\"status\"")
+    @Schema(description="处理状态：0=待处理, 1=违规确立(已处罚), 2=无效举报/已驳回, 3=已忽略")
+    private Short status;
+
+    /**
+     * 管理员处理备注（记录处理理由或处罚措施）
+     */
+    @TableField(value = "admin_remark")
+    @Schema(description="管理员处理备注（记录处理理由或处罚措施）")
+    private String adminRemark;
+
+    /**
+     * 举报提交时间
+     */
+    @TableField(value = "created_at")
+    @Schema(description="举报提交时间")
+    private Date createdAt;
+
+    /**
+     * 最后更新时间
+     */
+    @TableField(value = "updated_at")
+    @Schema(description="最后更新时间")
+    private Date updatedAt;
+}

src/main/java/com/yolo/keyborad/model/entity/KeyboardUser.java

@@ -121,4 +121,8 @@ public class KeyboardUser {
     @TableField(value = "vip_expiry")
     @Schema(description = "VIP 过期时间")
     private Date vipExpiry;
+
+    @TableField(value = "vip_level")
+    @Schema(description = "vip等级")
+    private Integer vipLevel;
 }

src/main/java/com/yolo/keyborad/model/vo/AiCompanionVO.java

@@ -0,0 +1,69 @@
+package com.yolo.keyborad.model.vo;
+
+import io.swagger.v3.oas.annotations.media.Schema;
+import lombok.Data;
+
+import java.util.Date;
+
+/*
+ * @author: ziin
+ * @date: 2026/1/26
+ */
+@Data
+@Schema(description = "AI陪聊角色VO")
+public class AiCompanionVO {
+
+    @Schema(description = "陪聊角色唯一ID")
+    private Long id;
+
+    @Schema(description = "角色名称")
+    private String name;
+
+    @Schema(description = "角色头像URL")
+    private String avatarUrl;
+
+    @Schema(description = "角色封面图URL")
+    private String coverImageUrl;
+
+    @Schema(description = "角色性别（male / female / other）")
+    private String gender;
+
+    @Schema(description = "角色年龄段描述")
+    private String ageRange;
+
+    @Schema(description = "一句话人设描述")
+    private String shortDesc;
+
+    @Schema(description = "角色详细介绍文案")
+    private String introText;
+
+    @Schema(description = "角色性格标签数组")
+    private String personalityTags;
+
+    @Schema(description = "角色说话风格")
+    private String speakingStyle;
+
+    @Schema(description = "排序权重")
+    private Integer sortOrder;
+
+    @Schema(description = "角色热度评分")
+    private Integer popularityScore;
+
+    @Schema(description = "开场白")
+    private String prologue;
+
+    @Schema(description = "开场白音频")
+    private String prologueAudio;
+
+    @Schema(description = "点赞总数")
+    private Integer likeCount;
+
+    @Schema(description = "评论总数")
+    private Integer commentCount;
+
+    @Schema(description = "当前用户是否已点赞")
+    private Boolean liked;
+
+    @Schema(description = "创建时间")
+    private Date createdAt;
+}

src/main/java/com/yolo/keyborad/model/vo/AudioTaskVO.java

@@ -0,0 +1,37 @@
+package com.yolo.keyborad.model.vo;
+
+import io.swagger.v3.oas.annotations.media.Schema;
+import lombok.AllArgsConstructor;
+import lombok.Builder;
+import lombok.Data;
+import lombok.NoArgsConstructor;
+
+/**
+ * 音频任务状态
+ *
+ * @author ziin
+ */
+@Data
+@Builder
+@NoArgsConstructor
+@AllArgsConstructor
+@Schema(description = "音频任务状态")
+public class AudioTaskVO {
+
+    @Schema(description = "音频任务 ID")
+    private String audioId;
+
+    @Schema(description = "任务状态: pending/processing/completed/failed")
+    private String status;
+
+    @Schema(description = "音频 URL (completed 时返回)")
+    private String audioUrl;
+
+    @Schema(description = "错误信息 (failed 时返回)")
+    private String errorMessage;
+
+    public static final String STATUS_PENDING = "pending";
+    public static final String STATUS_PROCESSING = "processing";
+    public static final String STATUS_COMPLETED = "completed";
+    public static final String STATUS_FAILED = "failed";
+}

src/main/java/com/yolo/keyborad/model/vo/ChatMessageHistoryVO.java

@@ -0,0 +1,27 @@
+package com.yolo.keyborad.model.vo;
+
+import io.swagger.v3.oas.annotations.media.Schema;
+import lombok.Data;
+
+import java.util.Date;
+
+/*
+ * @author: ziin
+ * @date: 2026/1/26
+ */
+@Data
+@Schema(description = "聊天消息VO")
+public class ChatMessageHistoryVO {
+
+    @Schema(description = "消息ID")
+    private Long id;
+
+    @Schema(description = "消息发送方：1=用户，2=AI")
+    private Short sender;
+
+    @Schema(description = "聊天消息内容")
+    private String content;
+
+    @Schema(description = "消息创建时间")
+    private Date createdAt;
+}

src/main/java/com/yolo/keyborad/model/vo/ChatMessageVO.java

@@ -0,0 +1,29 @@
+package com.yolo.keyborad.model.vo;
+
+import io.swagger.v3.oas.annotations.media.Schema;
+import lombok.AllArgsConstructor;
+import lombok.Builder;
+import lombok.Data;
+import lombok.NoArgsConstructor;
+
+/**
+ * 消息响应（含异步音频）
+ *
+ * @author ziin
+ */
+@Data
+@Builder
+@NoArgsConstructor
+@AllArgsConstructor
+@Schema(description = "消息响应")
+public class ChatMessageVO {
+
+    @Schema(description = "AI 响应文本")
+    private String aiResponse;
+
+    @Schema(description = "音频任务 ID，用于查询音频状态")
+    private String audioId;
+
+    @Schema(description = "LLM 耗时（毫秒）")
+    private Long llmDuration;
+}

src/main/java/com/yolo/keyborad/model/vo/ChatSessionVO.java

@@ -0,0 +1,29 @@
+package com.yolo.keyborad.model.vo;
+
+import io.swagger.v3.oas.annotations.media.Schema;
+import lombok.Builder;
+import lombok.Data;
+
+import java.util.Date;
+
+/*
+ * @author: ziin
+ * @date: 2026/1/28
+ */
+@Data
+@Builder
+@Schema(description = "会话信息VO")
+public class ChatSessionVO {
+
+    @Schema(description = "会话ID")
+    private Long sessionId;
+
+    @Schema(description = "AI陪聊角色ID")
+    private Long companionId;
+
+    @Schema(description = "会话版本号")
+    private Integer resetVersion;
+
+    @Schema(description = "会话创建时间")
+    private Date createdAt;
+}

src/main/java/com/yolo/keyborad/model/vo/ChatVoiceVO.java

@@ -0,0 +1,32 @@
+package com.yolo.keyborad.model.vo;
+
+import io.swagger.v3.oas.annotations.media.Schema;
+import lombok.AllArgsConstructor;
+import lombok.Builder;
+import lombok.Data;
+import lombok.NoArgsConstructor;
+
+/**
+ * 语音对话响应
+ *
+ * @author ziin
+ */
+@Data
+@Builder
+@NoArgsConstructor
+@AllArgsConstructor
+@Schema(description = "语音对话响应")
+public class ChatVoiceVO {
+
+    @Schema(description = "用户输入内容")
+    private String content;
+
+    @Schema(description = "AI 响应文本")
+    private String aiResponse;
+
+    @Schema(description = "AI 语音音频 URL (R2)")
+    private String audioUrl;
+
+    @Schema(description = "处理耗时（毫秒）")
+    private Long duration;
+}

src/main/java/com/yolo/keyborad/model/vo/CommentVO.java

@@ -0,0 +1,55 @@
+package com.yolo.keyborad.model.vo;
+
+import io.swagger.v3.oas.annotations.media.Schema;
+import lombok.Data;
+
+import java.util.Date;
+import java.util.List;
+
+/*
+ * @author: ziin
+ * @date: 2026/1/26
+ */
+@Data
+@Schema(description = "评论VO")
+public class CommentVO {
+
+    @Schema(description = "评论ID")
+    private Long id;
+
+    @Schema(description = "被评论的AI陪伴角色ID")
+    private Long companionId;
+
+    @Schema(description = "发表评论的用户ID")
+    private Long userId;
+
+    @Schema(description = "用户昵称")
+    private String userName;
+
+    @Schema(description = "用户头像")
+    private String userAvatar;
+
+    @Schema(description = "父评论ID")
+    private Long parentId;
+
+    @Schema(description = "根评论ID")
+    private Long rootId;
+
+    @Schema(description = "评论内容")
+    private String content;
+
+    @Schema(description = "点赞数")
+    private Integer likeCount;
+
+    @Schema(description = "当前用户是否已点赞")
+    private Boolean liked;
+
+    @Schema(description = "评论创建时间")
+    private Date createdAt;
+
+    @Schema(description = "回复列表（仅一级评论有值，默认返回前3条）")
+    private List<CommentVO> replies;
+
+    @Schema(description = "回复总数")
+    private Integer replyCount;
+}

src/main/java/com/yolo/keyborad/model/vo/SpeechToTextVO.java

@@ -0,0 +1,32 @@
+package com.yolo.keyborad.model.vo;
+
+import io.swagger.v3.oas.annotations.media.Schema;
+import lombok.AllArgsConstructor;
+import lombok.Builder;
+import lombok.Data;
+import lombok.NoArgsConstructor;
+
+/**
+ * 语音转文字响应VO
+ *
+ * @author ziin
+ */
+@Data
+@Builder
+@NoArgsConstructor
+@AllArgsConstructor
+@Schema(description = "语音转文字响应")
+public class SpeechToTextVO {
+
+    @Schema(description = "转录文本")
+    private String transcript;
+
+    @Schema(description = "置信度")
+    private Double confidence;
+
+    @Schema(description = "音频时长（秒）")
+    private Double duration;
+
+    @Schema(description = "检测到的语言")
+    private String detectedLanguage;
+}

src/main/java/com/yolo/keyborad/model/vo/TextToSpeechVO.java

@@ -0,0 +1,26 @@
+package com.yolo.keyborad.model.vo;
+
+import io.swagger.v3.oas.annotations.media.Schema;
+import lombok.AllArgsConstructor;
+import lombok.Builder;
+import lombok.Data;
+import lombok.NoArgsConstructor;
+
+/**
+ * TTS 语音合成结果
+ *
+ * @author ziin
+ */
+@Data
+@Builder
+@NoArgsConstructor
+@AllArgsConstructor
+@Schema(description = "TTS 语音合成结果")
+public class TextToSpeechVO {
+
+    @Schema(description = "音频 Base64")
+    private String audioBase64;
+
+    @Schema(description = "音频 URL (R2)")
+    private String audioUrl;
+}

src/main/java/com/yolo/keyborad/model/vo/user/KeyboardUserInfoRespVO.java

@@ -1,5 +1,6 @@
 package com.yolo.keyborad.model.vo.user;
 
+import com.baomidou.mybatisplus.annotation.TableField;
 import io.swagger.v3.oas.annotations.media.Schema;
 import lombok.Data;
 
@@ -52,4 +53,8 @@ public class KeyboardUserInfoRespVO {
     @Schema(description = "VIP 过期时间")
     private String vipExpiry;
 
+
+    @Schema(description = "vip等级")
+    private Integer vipLevel;
+
 }

src/main/java/com/yolo/keyborad/model/vo/user/KeyboardUserRespVO.java

@@ -55,4 +55,8 @@ public class KeyboardUserRespVO {
      */
     @Schema(description = "VIP 过期时间")
     private Date vipExpiry;
+
+    @TableField(value = "vip_level")
+    @Schema(description = "vip等级")
+    private Integer vipLevel;
 }

src/main/java/com/yolo/keyborad/service/ChatService.java

@@ -2,6 +2,9 @@ package com.yolo.keyborad.service;
 
 import com.yolo.keyborad.model.dto.chat.ChatReq;
 import com.yolo.keyborad.model.dto.chat.ChatStreamMessage;
+import com.yolo.keyborad.model.vo.AudioTaskVO;
+import com.yolo.keyborad.model.vo.ChatMessageVO;
+import com.yolo.keyborad.model.vo.ChatVoiceVO;
 import org.springframework.http.codec.ServerSentEvent;
 import reactor.core.publisher.Flux;
 
@@ -11,4 +14,23 @@ import reactor.core.publisher.Flux;
  */
 public interface ChatService {
     Flux<ServerSentEvent<ChatStreamMessage>> talk(ChatReq chatReq);
+
+    /**
+     * 同步对话（异步生成音频）
+     *
+     * @param content     用户消息内容
+     * @param userId      用户ID
+     * @param companionId AI陪聊角色ID
+     * @return AI 响应 + 音频任务 ID
+     */
+    ChatMessageVO message(String content, String userId, Long companionId);
+
+    /**
+     * 查询音频任务状态
+     *
+     * @param audioId 音频任务 ID
+     * @return 音频任务状态
+     */
+    AudioTaskVO getAudioTask(String audioId);
+
 }

src/main/java/com/yolo/keyborad/service/DeepgramService.java

@@ -0,0 +1,29 @@
+package com.yolo.keyborad.service;
+
+import com.yolo.keyborad.model.vo.SpeechToTextVO;
+import org.springframework.web.multipart.MultipartFile;
+
+/**
+ * Deepgram STT 语音转文字服务接口
+ *
+ * @author ziin
+ */
+public interface DeepgramService {
+
+    /**
+     * 将音频文件转换为文字（使用默认语言）
+     *
+     * @param audioFile 音频文件
+     * @return 语音转文字结果
+     */
+    SpeechToTextVO transcribe(MultipartFile audioFile);
+
+    /**
+     * 将音频文件转换为文字（指定语言）
+     *
+     * @param audioFile 音频文件
+     * @param language  语言代码（如 en, zh, ja 等）
+     * @return 语音转文字结果
+     */
+    SpeechToTextVO transcribe(MultipartFile audioFile, String language);
+}

src/main/java/com/yolo/keyborad/service/ElevenLabsService.java

@@ -0,0 +1,28 @@
+package com.yolo.keyborad.service;
+
+import com.yolo.keyborad.model.vo.TextToSpeechVO;
+
+/**
+ * ElevenLabs TTS 语音合成服务接口
+ *
+ * @author ziin
+ */
+public interface ElevenLabsService {
+
+    /**
+     * 将文本转换为语音（带时间戳）
+     *
+     * @param text 要转换的文本
+     * @return 语音合成结果，包含 base64 音频
+     */
+    TextToSpeechVO textToSpeechWithTimestamps(String text);
+
+    /**
+     * 将文本转换为语音（带时间戳），使用指定语音
+     *
+     * @param text    要转换的文本
+     * @param voiceId 语音 ID
+     * @return 语音合成结果
+     */
+    TextToSpeechVO textToSpeechWithTimestamps(String text, String voiceId);
+}

src/main/java/com/yolo/keyborad/service/KeyboardAiChatMessageService.java

@@ -0,0 +1,44 @@
+package com.yolo.keyborad.service;
+
+import com.baomidou.mybatisplus.core.metadata.IPage;
+import com.yolo.keyborad.model.entity.KeyboardAiChatMessage;
+import com.baomidou.mybatisplus.extension.service.IService;
+import com.yolo.keyborad.model.vo.ChatMessageHistoryVO;
+
+import java.util.List;
+
+/*
+ * @author: ziin
+ * @date: 2026/1/26 17:00
+ */
+public interface KeyboardAiChatMessageService extends IService<KeyboardAiChatMessage> {
+
+    /**
+     * 分页查询用户与AI的聊天记录
+     *
+     * @param userId      用户ID
+     * @param companionId AI陪聊角色ID
+     * @param pageNum     页码
+     * @param pageSize    每页数量
+     * @return 分页结果
+     */
+    IPage<ChatMessageHistoryVO> pageHistory(Long userId, Long companionId, Integer pageNum, Integer pageSize);
+
+    /**
+     * 获取最近的聊天记录（按时间正序，用于LLM上下文）
+     *
+     * @param userId      用户ID
+     * @param companionId AI陪聊角色ID
+     * @param limit       获取条数
+     * @return 聊天记录列表（时间正序）
+     */
+    List<KeyboardAiChatMessage> getRecentMessages(Long userId, Long companionId, int limit);
+
+    /**
+     * 获取用户聊过天的所有AI角色ID列表
+     *
+     * @param userId 用户ID
+     * @return 聊过天的AI角色ID列表（按最近聊天时间倒序）
+     */
+    List<Long> getChattedCompanionIds(Long userId);
+}

src/main/java/com/yolo/keyborad/service/KeyboardAiChatSessionService.java

@@ -0,0 +1,38 @@
+package com.yolo.keyborad.service;
+
+import com.yolo.keyborad.model.entity.KeyboardAiChatSession;
+import com.baomidou.mybatisplus.extension.service.IService;
+
+/*
+ * @author: ziin
+ * @date: 2026/1/28 16:20
+ */
+public interface KeyboardAiChatSessionService extends IService<KeyboardAiChatSession> {
+
+    /**
+     * 获取用户与AI角色的活跃会话，如果不存在则创建新会话
+     *
+     * @param userId      用户ID
+     * @param companionId AI角色ID
+     * @return 活跃会话
+     */
+    KeyboardAiChatSession getOrCreateActiveSession(Long userId, Long companionId);
+
+    /**
+     * 获取用户与AI角色的活跃会话ID，如果不存在则创建新会话
+     *
+     * @param userId      用户ID
+     * @param companionId AI角色ID
+     * @return 活跃会话ID
+     */
+    Long getOrCreateActiveSessionId(Long userId, Long companionId);
+
+    /**
+     * 重置会话：将当前活跃会话设为不活跃，并创建新的活跃会话
+     *
+     * @param userId      用户ID
+     * @param companionId AI角色ID
+     * @return 新创建的活跃会话
+     */
+    KeyboardAiChatSession resetSession(Long userId, Long companionId);
+}

src/main/java/com/yolo/keyborad/service/KeyboardAiCompanionCommentLikeService.java

@@ -0,0 +1,41 @@
+package com.yolo.keyborad.service;
+
+import com.baomidou.mybatisplus.extension.service.IService;
+import com.yolo.keyborad.model.entity.KeyboardAiCompanionCommentLike;
+
+import java.util.List;
+import java.util.Set;
+
+/*
+ * @author: ziin
+ * @date: 2026/1/26
+ */
+public interface KeyboardAiCompanionCommentLikeService extends IService<KeyboardAiCompanionCommentLike> {
+
+    /**
+     * 检查用户是否已点赞该评论
+     *
+     * @param userId    用户ID
+     * @param commentId 评论ID
+     * @return 是否已点赞
+     */
+    boolean hasLiked(Long userId, Long commentId);
+
+    /**
+     * 批量检查用户是否已点赞评论
+     *
+     * @param userId     用户ID
+     * @param commentIds 评论ID列表
+     * @return 已点赞的评论ID集合
+     */
+    Set<Long> getLikedCommentIds(Long userId, List<Long> commentIds);
+
+    /**
+     * 点赞或取消点赞评论
+     *
+     * @param userId    用户ID
+     * @param commentId 评论ID
+     * @return true=点赞成功，false=取消点赞成功
+     */
+    boolean toggleLike(Long userId, Long commentId);
+}

src/main/java/com/yolo/keyborad/service/KeyboardAiCompanionCommentService.java

@@ -0,0 +1,46 @@
+package com.yolo.keyborad.service;
+
+import com.baomidou.mybatisplus.core.metadata.IPage;
+import com.yolo.keyborad.model.entity.KeyboardAiCompanionComment;
+import com.baomidou.mybatisplus.extension.service.IService;
+import com.yolo.keyborad.model.vo.CommentVO;
+
+/*
+ * @author: ziin
+ * @date: 2026/1/26 20:31
+ */
+public interface KeyboardAiCompanionCommentService extends IService<KeyboardAiCompanionComment> {
+
+    /**
+     * 发表评论
+     *
+     * @param userId      用户ID
+     * @param companionId AI陪伴角色ID
+     * @param content     评论内容
+     * @param parentId    父评论ID（可为null）
+     * @param rootId      根评论ID（可为null）
+     * @return 评论ID
+     */
+    Long addComment(Long userId, Long companionId, String content, Long parentId, Long rootId);
+
+    /**
+     * 分页查询评论
+     *
+     * @param companionId AI陪伴角色ID
+     * @param pageNum     页码
+     * @param pageSize    每页数量
+     * @return 分页结果
+     */
+    IPage<CommentVO> pageComments(Long companionId, Integer pageNum, Integer pageSize);
+
+    /**
+     * 分页查询评论（带用户点赞状态）
+     *
+     * @param userId      当前用户ID
+     * @param companionId AI陪伴角色ID
+     * @param pageNum     页码
+     * @param pageSize    每页数量
+     * @return 分页结果
+     */
+    IPage<CommentVO> pageCommentsWithLikeStatus(Long userId, Long companionId, Integer pageNum, Integer pageSize);
+}

src/main/java/com/yolo/keyborad/service/KeyboardAiCompanionLikeService.java

@@ -0,0 +1,49 @@
+package com.yolo.keyborad.service;
+
+import com.yolo.keyborad.model.entity.KeyboardAiCompanionLike;
+import com.baomidou.mybatisplus.extension.service.IService;
+
+import java.util.List;
+import java.util.Set;
+
+/*
+ * @author: ziin
+ * @date: 2026/1/27 18:18
+ */
+public interface KeyboardAiCompanionLikeService extends IService<KeyboardAiCompanionLike> {
+
+    /**
+     * 点赞/取消点赞AI角色
+     *
+     * @param userId      用户ID
+     * @param companionId AI角色ID
+     * @return true=点赞成功，false=取消点赞成功
+     */
+    boolean toggleLike(Long userId, Long companionId);
+
+    /**
+     * 检查用户是否已点赞某AI角色
+     *
+     * @param userId      用户ID
+     * @param companionId AI角色ID
+     * @return true=已点赞，false=未点赞
+     */
+    boolean hasLiked(Long userId, Long companionId);
+
+    /**
+     * 批量获取用户已点赞的AI角色ID列表
+     *
+     * @param userId       用户ID
+     * @param companionIds AI角色ID列表
+     * @return 已点赞的AI角色ID集合
+     */
+    Set<Long> getLikedCompanionIds(Long userId, List<Long> companionIds);
+
+    /**
+     * 获取用户点赞过的所有AI角色ID列表
+     *
+     * @param userId 用户ID
+     * @return 已点赞的AI角色ID列表
+     */
+    List<Long> getAllLikedCompanionIds(Long userId);
+}

src/main/java/com/yolo/keyborad/service/KeyboardAiCompanionReportService.java

@@ -0,0 +1,21 @@
+package com.yolo.keyborad.service;
+
+import com.yolo.keyborad.model.dto.companion.CompanionReportReq;
+import com.yolo.keyborad.model.entity.KeyboardAiCompanionReport;
+import com.baomidou.mybatisplus.extension.service.IService;
+    /*
+* @author: ziin
+* @date: 2026/1/29 16:17
+*/
+
+public interface KeyboardAiCompanionReportService extends IService<KeyboardAiCompanionReport>{
+
+    /**
+     * 举报AI角色
+     * @param userId 用户ID
+     * @param req 举报请求
+     * @return 举报记录ID
+     */
+    Long reportCompanion(Long userId, CompanionReportReq req);
+
+}

src/main/java/com/yolo/keyborad/service/KeyboardAiCompanionService.java

@@ -0,0 +1,67 @@
+package com.yolo.keyborad.service;
+
+import com.baomidou.mybatisplus.core.metadata.IPage;
+import com.yolo.keyborad.model.entity.KeyboardAiCompanion;
+import com.baomidou.mybatisplus.extension.service.IService;
+import com.yolo.keyborad.model.vo.AiCompanionVO;
+
+import java.util.List;
+
+/*
+ * @author: ziin
+ * @date: 2026/1/26 13:51
+ */
+public interface KeyboardAiCompanionService extends IService<KeyboardAiCompanion> {
+
+    /**
+     * 分页查询已上线的AI陪聊角色
+     *
+     * @param pageNum  页码
+     * @param pageSize 每页数量
+     * @return 分页结果
+     */
+    IPage<AiCompanionVO> pageList(Integer pageNum, Integer pageSize);
+
+    /**
+     * 分页查询已上线的AI陪聊角色（带当前用户点赞状态）
+     *
+     * @param userId   当前用户ID
+     * @param pageNum  页码
+     * @param pageSize 每页数量
+     * @return 分页结果
+     */
+    IPage<AiCompanionVO> pageListWithLikeStatus(Long userId, Integer pageNum, Integer pageSize);
+
+    /**
+     * 根据AI人设ID获取系统提示词
+     *
+     * @param companionId AI人设ID
+     * @return 系统提示词
+     */
+    String getSystemPromptById(Long companionId);
+
+    /**
+     * 获取用户点赞过的AI角色列表
+     *
+     * @param userId 用户ID
+     * @return 点赞过的AI角色列表
+     */
+    List<AiCompanionVO> getLikedCompanions(Long userId);
+
+    /**
+     * 获取用户聊过天的AI角色列表
+     *
+     * @param userId 用户ID
+     * @return 聊过天的AI角色列表
+     */
+    List<AiCompanionVO> getChattedCompanions(Long userId);
+
+    /**
+     * 根据ID获取AI角色详情（带点赞数、评论数和当前用户点赞状态）
+     *
+     * @param userId      当前用户ID
+     * @param companionId AI角色ID
+     * @return AI角色详情
+     */
+    AiCompanionVO getCompanionById(Long userId, Long companionId);
+}

src/main/java/com/yolo/keyborad/service/impl/ChatServiceImpl.java

@@ -10,25 +10,47 @@ import com.yolo.keyborad.config.NacosAppConfigCenter;
 import com.yolo.keyborad.exception.BusinessException;
 import com.yolo.keyborad.model.dto.chat.ChatReq;
 import com.yolo.keyborad.model.dto.chat.ChatStreamMessage;
+import com.yolo.keyborad.model.entity.KeyboardAiChatMessage;
 import com.yolo.keyborad.model.entity.KeyboardCharacter;
 import com.yolo.keyborad.model.entity.KeyboardUser;
 import com.yolo.keyborad.model.entity.KeyboardUserCallLog;
 import com.yolo.keyborad.model.entity.KeyboardUserQuotaTotal;
+import com.yolo.keyborad.model.vo.AudioTaskVO;
+import com.yolo.keyborad.model.vo.ChatMessageVO;
+import com.yolo.keyborad.model.vo.ChatVoiceVO;
+import com.yolo.keyborad.model.vo.TextToSpeechVO;
 import com.yolo.keyborad.service.*;
 import jakarta.annotation.Resource;
 import lombok.extern.slf4j.Slf4j;
+import org.dromara.x.file.storage.core.FileInfo;
+import org.dromara.x.file.storage.core.FileStorageService;
 import org.springframework.ai.chat.client.ChatClient;
+import org.springframework.ai.chat.messages.AssistantMessage;
+import org.springframework.ai.chat.messages.Message;
+import org.springframework.ai.chat.messages.UserMessage;
 import org.springframework.ai.openai.OpenAiChatOptions;
+import org.springframework.data.redis.core.StringRedisTemplate;
 import org.springframework.http.codec.ServerSentEvent;
+import org.springframework.scheduling.annotation.Async;
 import org.springframework.stereotype.Service;
 import reactor.core.publisher.Flux;
 import reactor.core.publisher.Mono;
 import reactor.core.scheduler.Schedulers;
 
 import java.math.BigDecimal;
+import java.io.ByteArrayInputStream;
+import java.time.LocalDate;
+import java.time.LocalDateTime;
+import java.time.LocalTime;
+import java.time.ZoneId;
+import java.time.temporal.ChronoUnit;
 import java.util.ArrayList;
+import java.util.Base64;
 import java.util.Date;
 import java.util.List;
+import java.util.UUID;
+import java.util.concurrent.CompletableFuture;
+import java.util.concurrent.TimeUnit;
 import java.util.concurrent.atomic.AtomicInteger;
 import java.util.concurrent.atomic.AtomicReference;
 
@@ -61,6 +83,29 @@ public class ChatServiceImpl implements ChatService {
     @Resource
     private UserService userService;
 
+    @Resource
+    private KeyboardAiCompanionService aiCompanionService;
+
+    @Resource
+    private KeyboardAiChatMessageService aiChatMessageService;
+
+    @Resource
+    private KeyboardAiChatSessionService aiChatSessionService;
+
+    @Resource
+    private ElevenLabsService elevenLabsService;
+
+    @Resource
+    private FileStorageService fileStorageService;
+
+    @Resource
+    private StringRedisTemplate stringRedisTemplate;
+
+    private static final String AUDIO_TASK_PREFIX = "audio:task:";
+    private static final long AUDIO_TASK_EXPIRE_SECONDS = 3600; // 1小时过期
+
+    private static final String CHAT_DAILY_LIMIT_PREFIX = "chat:daily:limit:";
+
     private final NacosAppConfigCenter.DynamicAppConfig cfgHolder;
 
     public ChatServiceImpl(NacosAppConfigCenter.DynamicAppConfig cfgHolder) {
@@ -321,4 +366,241 @@ public class ChatServiceImpl implements ChatService {
                                 .build()
                 );
     }
+
+    /**
+     * 同步对话（异步生成音频）
+     *
+     * @param content     用户消息内容
+     * @param userId      用户ID
+     * @param companionId AI陪聊角色ID
+     * @return AI 响应 + 音频任务 ID
+     */
+    @Override
+    public ChatMessageVO message(String content, String userId, Long companionId) {
+        log.info("同步对话请求, userId: {}, companionId: {}, content: {}", userId, companionId, content);
+
+        // ============ VIP等级检查（先检查，不增加次数） ============
+        AppConfig appConfig = cfgHolder.getRef().get();
+        KeyboardUser user = userService.getById(Long.parseLong(userId));
+
+        // 获取VIP等级（null视为0）
+        int vipLevel = user != null && user.getVipLevel() != null ? user.getVipLevel() : 0;
+
+        // 记录是否需要扣减体验次数（VIP等级 <= 1 的用户需要扣减）
+        boolean needDeductQuota = vipLevel <= 1;
+        String redisKey = CHAT_DAILY_LIMIT_PREFIX + userId;
+        Integer dailyLimit = appConfig.getUserRegisterProperties().getVipFreeTrialTalk();
+
+        // 如果VIP等级 <= 1，先检查每日体验次数是否用完
+        if (needDeductQuota) {
+            // 获取当前使用次数
+            String countStr = stringRedisTemplate.opsForValue().get(redisKey);
+            int currentCount = countStr != null ? Integer.parseInt(countStr) : 0;
+
+            // 检查是否超出限制，超出直接返回
+            if (currentCount >= dailyLimit) {
+                log.warn("用户 {} VIP等级 {} 已达到每日体验次数限制 {}", userId, vipLevel, dailyLimit);
+                throw new BusinessException(ErrorCode.VIP_TRIAL_LIMIT_REACHED);
+            }
+        }
+
+        long startTime = System.currentTimeMillis();
+
+        // 获取AI人设的系统提示词
+        String systemPrompt = aiCompanionService.getSystemPromptById(companionId);
+
+        // 获取最近20条聊天记录作为上下文
+        List<KeyboardAiChatMessage> historyMessages = aiChatMessageService.getRecentMessages(
+                Long.parseLong(userId), companionId, 20);
+        log.info("获取历史消息, userId: {}, companionId: {}, 数量: {}", userId, companionId, historyMessages.size());
+
+        String response = callLLMWithHistory(content, systemPrompt, historyMessages);
+
+        long llmDuration = System.currentTimeMillis() - startTime;
+        log.info("LLM 完成, userId: {}, 耗时: {}ms, 响应长度: {}", userId, llmDuration, response.length());
+
+        // 保存用户消息和AI响应到聊天记录
+        saveChatMessages(Long.parseLong(userId), companionId, content, response);
+
+        // ============ 成功后扣减体验次数 ============
+        if (needDeductQuota) {
+            Long newCount = stringRedisTemplate.opsForValue().increment(redisKey);
+
+            // 设置到午夜过期（只有第一次设置时需要设置过期时间）
+            if (newCount != null && newCount == 1) {
+                // 计算到今天午夜的剩余秒数
+                LocalDateTime now = LocalDateTime.now(ZoneId.of("America/New_York"));
+                LocalDateTime midnight = LocalDateTime.of(LocalDate.now(ZoneId.of("America/New_York")).plusDays(1), LocalTime.MIDNIGHT);
+                long secondsUntilMidnight = ChronoUnit.SECONDS.between(now, midnight);
+                stringRedisTemplate.expire(redisKey, secondsUntilMidnight, TimeUnit.SECONDS);
+            }
+
+            log.info("用户 {} VIP等级 {} 今日已使用 {}/{} 次", userId, vipLevel, newCount, dailyLimit);
+        }
+
+        // 生成音频任务 ID
+        String audioId = UUID.randomUUID().toString().replace("-", "");
+
+        // 初始化音频任务状态为 processing
+        setAudioTaskStatus(audioId, AudioTaskVO.STATUS_PROCESSING, null, null);
+
+        // 异步执行 TTS + R2 上传
+        CompletableFuture.runAsync(() -> processAudioAsync(audioId, response, userId));
+
+        return ChatMessageVO.builder()
+                .aiResponse(response)
+                .audioId(audioId)
+                .llmDuration(llmDuration)
+                .build();
+    }
+
+    /**
+     * 保存用户消息和AI响应到聊天记录
+     */
+    private void saveChatMessages(Long userId, Long companionId, String userContent, String aiResponse) {
+        Date now = new Date();
+
+        // 获取或创建活跃会话
+        Long sessionId = aiChatSessionService.getOrCreateActiveSessionId(userId, companionId);
+
+        // 保存用户消息 (sender=1)
+        KeyboardAiChatMessage userMessage = new KeyboardAiChatMessage();
+        userMessage.setUserId(userId);
+        userMessage.setCompanionId(companionId);
+        userMessage.setSessionId(sessionId);
+        userMessage.setSender((short) 1);
+        userMessage.setContent(userContent);
+        userMessage.setCreatedAt(now);
+
+        // 保存AI响应 (sender=2)
+        KeyboardAiChatMessage aiMessage = new KeyboardAiChatMessage();
+        aiMessage.setUserId(userId);
+        aiMessage.setCompanionId(companionId);
+        aiMessage.setSessionId(sessionId);
+        aiMessage.setSender((short) 2);
+        aiMessage.setContent(aiResponse);
+        aiMessage.setCreatedAt(now);
+
+        // 批量保存
+        aiChatMessageService.saveBatch(List.of(userMessage, aiMessage));
+        log.info("聊天记录保存成功, userId: {}, companionId: {}, sessionId: {}", userId, companionId, sessionId);
+    }
+
+    /**
+     * 调用 LLM 生成响应（带历史消息上下文）
+     */
+    private String callLLMWithHistory(String content, String systemPrompt, List<KeyboardAiChatMessage> historyMessages) {
+        // 构建历史消息列表
+        List<Message> messages = new ArrayList<>();
+        for (KeyboardAiChatMessage msg : historyMessages) {
+            if (msg.getSender() == 1) {
+                // 用户消息
+                messages.add(new UserMessage(msg.getContent()));
+            } else {
+                // AI消息
+                messages.add(new AssistantMessage(msg.getContent()));
+            }
+        }
+        // 添加当前用户消息
+        messages.add(new UserMessage(content));
+
+        return client
+                .prompt()
+                .system(systemPrompt)
+                .messages(messages)
+                .call()
+                .content();
+    }
+
+    /**
+     * 异步处理音频：TTS 转换 + 上传 R2
+     */
+    private void processAudioAsync(String audioId, String text, String userId) {
+        try {
+            log.info("开始异步音频处理, audioId: {}", audioId);
+            long startTime = System.currentTimeMillis();
+
+            // 1. TTS 转换
+            long ttsStart = System.currentTimeMillis();
+            TextToSpeechVO ttsResult = elevenLabsService.textToSpeechWithTimestamps(text);
+            long ttsDuration = System.currentTimeMillis() - ttsStart;
+            log.info("TTS 完成, audioId: {}, 耗时: {}ms", audioId, ttsDuration);
+
+            // 2. 上传到 R2
+            long uploadStart = System.currentTimeMillis();
+            String audioUrl = uploadAudioToR2(ttsResult.getAudioBase64(), userId);
+            long uploadDuration = System.currentTimeMillis() - uploadStart;
+            log.info("R2 上传完成, audioId: {}, 耗时: {}ms, URL: {}", audioId, uploadDuration, audioUrl);
+
+            // 3. 更新任务状态为完成
+            setAudioTaskStatus(audioId, AudioTaskVO.STATUS_COMPLETED, audioUrl, null);
+
+            long totalDuration = System.currentTimeMillis() - startTime;
+            log.info("异步音频处理完成, audioId: {}, 总耗时: {}ms (TTS: {}ms, Upload: {}ms)",
+                    audioId, totalDuration, ttsDuration, uploadDuration);
+
+        } catch (Exception e) {
+            log.error("异步音频处理失败, audioId: {}", audioId, e);
+            setAudioTaskStatus(audioId, AudioTaskVO.STATUS_FAILED, null, e.getMessage());
+        }
+    }
+
+    /**
+     * 设置音频任务状态
+     */
+    private void setAudioTaskStatus(String audioId, String status, String audioUrl, String errorMessage) {
+        String key = AUDIO_TASK_PREFIX + audioId;
+        String value = status + "|" + (audioUrl != null ? audioUrl : "") + "|" + (errorMessage != null ? errorMessage : "");
+        stringRedisTemplate.opsForValue().set(key, value, AUDIO_TASK_EXPIRE_SECONDS, TimeUnit.SECONDS);
+    }
+
+    /**
+     * 查询音频任务状态
+     */
+    @Override
+    public AudioTaskVO getAudioTask(String audioId) {
+        String key = AUDIO_TASK_PREFIX + audioId;
+        String value = stringRedisTemplate.opsForValue().get(key);
+
+        if (cn.hutool.core.util.StrUtil.isBlank(value)) {
+            return AudioTaskVO.builder()
+                    .audioId(audioId)
+                    .status(AudioTaskVO.STATUS_PENDING)
+                    .build();
+        }
+
+        String[] parts = value.split("\\|", -1);
+        return AudioTaskVO.builder()
+                .audioId(audioId)
+                .status(parts[0])
+                .audioUrl(parts.length > 1 && !parts[1].isEmpty() ? parts[1] : null)
+                .errorMessage(parts.length > 2 && !parts[2].isEmpty() ? parts[2] : null)
+                .build();
+    }
+
+
+    /**
+     * 上传音频到 R2
+     */
+    private String uploadAudioToR2(String audioBase64, String userId) {
+        if (cn.hutool.core.util.StrUtil.isBlank(audioBase64)) {
+            throw new BusinessException(ErrorCode.SYSTEM_ERROR, "音频数据为空");
+        }
+
+        byte[] audioBytes = Base64.getDecoder().decode(audioBase64);
+        String fileName = IdUtil.fastSimpleUUID() + ".mp3";
+
+        FileInfo fileInfo = fileStorageService.of(new ByteArrayInputStream(audioBytes))
+                .setPath(userId + "/")
+                .setPlatform("cloudflare-r2")
+                .setSaveFilename(fileName)
+                .setOriginalFilename(fileName)
+                .upload();
+
+        if (fileInfo == null || cn.hutool.core.util.StrUtil.isBlank(fileInfo.getUrl())) {
+            throw new BusinessException(ErrorCode.SYSTEM_ERROR, "音频上传失败");
+        }
+
+        return fileInfo.getUrl();
+    }
 }

src/main/java/com/yolo/keyborad/service/impl/DeepgramServiceImpl.java

@@ -0,0 +1,182 @@
+package com.yolo.keyborad.service.impl;
+
+import cn.hutool.core.util.StrUtil;
+import com.alibaba.fastjson.JSONArray;
+import com.alibaba.fastjson.JSONObject;
+import com.yolo.keyborad.common.ErrorCode;
+import com.yolo.keyborad.config.DeepgramProperties;
+import com.yolo.keyborad.exception.BusinessException;
+import com.yolo.keyborad.model.vo.SpeechToTextVO;
+import com.yolo.keyborad.service.DeepgramService;
+import jakarta.annotation.Resource;
+import lombok.extern.slf4j.Slf4j;
+import org.springframework.http.MediaType;
+import org.springframework.stereotype.Service;
+import org.springframework.web.client.RestClient;
+import org.springframework.web.multipart.MultipartFile;
+
+import java.io.IOException;
+import java.util.Arrays;
+import java.util.List;
+
+/**
+ * Deepgram STT 语音转文字服务实现
+ * 参考: https://developers.deepgram.com/docs/getting-started-with-pre-recorded-audio
+ *
+ * @author ziin
+ */
+@Service
+@Slf4j
+public class DeepgramServiceImpl implements DeepgramService {
+
+    @Resource
+    private DeepgramProperties deepgramProperties;
+
+    @Resource
+    private RestClient restClient;
+
+    // 支持的音频MIME类型
+    private static final List<String> ALLOWED_AUDIO_TYPES = Arrays.asList(
+            "audio/wav", "audio/wave",
+            "audio/mp3", "audio/mpeg",
+            "audio/webm",
+            "audio/ogg",
+            "audio/flac",
+            "audio/m4a"
+    );
+
+    // 最大文件大小：20MB
+    private static final long MAX_FILE_SIZE = 20 * 1024 * 1024;
+
+    @Override
+    public SpeechToTextVO transcribe(MultipartFile audioFile) {
+        return transcribe(audioFile, deepgramProperties.getLanguage());
+    }
+
+    @Override
+    public SpeechToTextVO transcribe(MultipartFile audioFile, String language) {
+        // 1. 参数校验
+        validateAudioFile(audioFile);
+
+        if (StrUtil.isBlank(language)) {
+            language = deepgramProperties.getLanguage();
+        }
+
+        // 2. 获取音频Content-Type
+        String contentType = audioFile.getContentType();
+        if (StrUtil.isBlank(contentType) || !ALLOWED_AUDIO_TYPES.contains(contentType)) {
+            log.warn("不支持的音频格式: {}", contentType);
+            throw new BusinessException(ErrorCode.AUDIO_FORMAT_NOT_SUPPORTED);
+        }
+
+        // 3. 构建请求URL
+        String requestUrl = buildRequestUrl(language);
+
+        log.info("调用 Deepgram STT API, language: {}, contentType: {}, 文件大小: {} bytes",
+                language, contentType, audioFile.getSize());
+        long startTime = System.currentTimeMillis();
+
+        try {
+            // 4. 发送请求
+            byte[] audioBytes = audioFile.getBytes();
+
+            String responseJson = restClient.post()
+                    .uri(requestUrl)
+                    .contentType(MediaType.parseMediaType(contentType))
+                    .header("Authorization", "Token " + deepgramProperties.getApiKey())
+                    .body(audioBytes)
+                    .retrieve()
+                    .body(String.class);
+
+            long duration = System.currentTimeMillis() - startTime;
+            log.info("Deepgram STT API 响应成功, 耗时: {}ms", duration);
+
+            // 5. 解析响应
+            return parseResponse(responseJson);
+
+        } catch (IOException e) {
+            log.error("读取音频文件失败", e);
+            throw new BusinessException(ErrorCode.SYSTEM_ERROR, "音频文件读取失败: " + e.getMessage());
+        } catch (Exception e) {
+            log.error("调用 Deepgram STT API 发生异常", e);
+            throw new BusinessException(ErrorCode.STT_SERVICE_ERROR, "语音转文字服务异常: " + e.getMessage());
+        }
+    }
+
+    /**
+     * 校验音频文件
+     */
+    private void validateAudioFile(MultipartFile audioFile) {
+        if (audioFile == null || audioFile.isEmpty()) {
+            throw new BusinessException(ErrorCode.AUDIO_FILE_EMPTY);
+        }
+
+        if (audioFile.getSize() > MAX_FILE_SIZE) {
+            throw new BusinessException(ErrorCode.AUDIO_FILE_TOO_LARGE);
+        }
+    }
+
+    /**
+     * 构建请求URL
+     */
+    private String buildRequestUrl(String language) {
+        StringBuilder url = new StringBuilder(deepgramProperties.getBaseUrl());
+        url.append("/listen");
+
+        // 添加查询参数
+        url.append("?model=").append(deepgramProperties.getModel());
+        url.append("&language=").append(language);
+
+        if (deepgramProperties.getSmartFormat()) {
+            url.append("&smart_format=true");
+        }
+        if (deepgramProperties.getPunctuate()) {
+            url.append("&punctuate=true");
+        }
+
+        return url.toString();
+    }
+
+    /**
+     * 解析响应JSON
+     */
+    private SpeechToTextVO parseResponse(String responseJson) {
+        JSONObject jsonResponse = JSONObject.parseObject(responseJson);
+
+        // 解析 metadata
+        JSONObject metadata = jsonResponse.getJSONObject("metadata");
+        Double duration = metadata != null ? metadata.getDouble("duration") : null;
+
+        // 解析 results
+        JSONObject results = jsonResponse.getJSONObject("results");
+        if (results == null) {
+            throw new BusinessException(ErrorCode.STT_SERVICE_ERROR, "响应格式错误: 缺少 results");
+        }
+
+        JSONArray channels = results.getJSONArray("channels");
+        if (channels == null || channels.isEmpty()) {
+            throw new BusinessException(ErrorCode.STT_SERVICE_ERROR, "响应格式错误: 缺少 channels");
+        }
+
+        JSONObject channel = channels.getJSONObject(0);
+        JSONArray alternatives = channel.getJSONArray("alternatives");
+        if (alternatives == null || alternatives.isEmpty()) {
+            throw new BusinessException(ErrorCode.STT_SERVICE_ERROR, "响应格式错误: 缺少 alternatives");
+        }
+
+        JSONObject alternative = alternatives.getJSONObject(0);
+        String transcript = alternative.getString("transcript");
+        Double confidence = alternative.getDouble("confidence");
+        String detectedLanguage = channel.getString("detected_language");
+
+        log.info("转录成功, 文本长度: {}, 置信度: {}, 检测语言: {}",
+                transcript != null ? transcript.length() : 0, confidence, detectedLanguage);
+
+        return SpeechToTextVO.builder()
+                .transcript(transcript)
+                .confidence(confidence)
+                .duration(duration)
+                .detectedLanguage(detectedLanguage)
+                .build();
+    }
+}

src/main/java/com/yolo/keyborad/service/impl/ElevenLabsServiceImpl.java

@@ -0,0 +1,111 @@
+package com.yolo.keyborad.service.impl;
+
+import cn.hutool.core.util.StrUtil;
+import com.alibaba.fastjson.JSONObject;
+import com.yolo.keyborad.common.ErrorCode;
+import com.yolo.keyborad.config.ElevenLabsProperties;
+import com.yolo.keyborad.exception.BusinessException;
+import com.yolo.keyborad.model.vo.TextToSpeechVO;
+import com.yolo.keyborad.service.ElevenLabsService;
+import jakarta.annotation.Resource;
+import lombok.extern.slf4j.Slf4j;
+import org.springframework.http.MediaType;
+import org.springframework.stereotype.Service;
+import org.springframework.web.client.RestClient;
+
+import java.util.HashMap;
+import java.util.Map;
+
+/**
+ * ElevenLabs TTS 语音合成服务实现
+ * 参考: https://elevenlabs.io/docs/api-reference/text-to-speech/convert-with-timestamps
+ *
+ * @author ziin
+ */
+@Service
+@Slf4j
+public class ElevenLabsServiceImpl implements ElevenLabsService {
+
+    @Resource
+    private ElevenLabsProperties elevenLabsProperties;
+
+    @Resource
+    private RestClient restClient;
+
+    private static final int MAX_TEXT_LENGTH = 5000;
+
+    @Override
+    public TextToSpeechVO textToSpeechWithTimestamps(String text) {
+        return textToSpeechWithTimestamps(text, elevenLabsProperties.getVoiceId());
+    }
+
+    @Override
+    public TextToSpeechVO textToSpeechWithTimestamps(String text, String voiceId) {
+        if (StrUtil.isBlank(text)) {
+            throw new BusinessException(ErrorCode.PARAMS_ERROR, "文本内容不能为空");
+        }
+
+        if (text.length() > MAX_TEXT_LENGTH) {
+            throw new BusinessException(ErrorCode.PARAMS_ERROR,
+                    "文本长度超出限制，最大支持 " + MAX_TEXT_LENGTH + " 字符");
+        }
+
+        if (StrUtil.isBlank(voiceId)) {
+            voiceId = elevenLabsProperties.getVoiceId();
+        }
+
+        String requestUrl = buildRequestUrl(voiceId);
+        Map<String, Object> requestBody = buildRequestBody(text);
+
+        log.info("调用 ElevenLabs TTS API, voiceId: {}, 文本长度: {}", voiceId, text.length());
+        long startTime = System.currentTimeMillis();
+
+        try {
+            String responseJson = restClient.post()
+                    .uri(requestUrl)
+                    .contentType(MediaType.APPLICATION_JSON)
+                    .header("xi-api-key", elevenLabsProperties.getApiKey())
+                    .body(requestBody)
+                    .retrieve()
+                    .body(String.class);
+
+            long duration = System.currentTimeMillis() - startTime;
+            log.info("ElevenLabs TTS API 响应成功, 耗时: {}ms", duration);
+
+            JSONObject jsonResponse = JSONObject.parseObject(responseJson);
+            String audioBase64 = jsonResponse.getString("audio_base64");
+
+            log.info("语音合成成功，Base64长度: {}", audioBase64.length());
+
+            return TextToSpeechVO.builder()
+                    .audioBase64(audioBase64)
+                    .build();
+
+        } catch (Exception e) {
+            log.error("调用 ElevenLabs TTS API 发生异常", e);
+            throw new BusinessException(ErrorCode.SYSTEM_ERROR, "语音合成服务异常: " + e.getMessage());
+        }
+    }
+
+    private String buildRequestUrl(String voiceId) {
+        return elevenLabsProperties.getBaseUrl() +
+                "/text-to-speech/" + voiceId + "/with-timestamps" +
+                "?output_format=" + elevenLabsProperties.getOutputFormat();
+    }
+
+    private Map<String, Object> buildRequestBody(String text) {
+        Map<String, Object> requestBody = new HashMap<>();
+        requestBody.put("text", text);
+        requestBody.put("model_id", elevenLabsProperties.getModelId());
+
+        Map<String, Object> voiceSettings = new HashMap<>();
+        voiceSettings.put("stability", elevenLabsProperties.getStability());
+        voiceSettings.put("similarity_boost", elevenLabsProperties.getSimilarityBoost());
+        voiceSettings.put("style", elevenLabsProperties.getStyle());
+        voiceSettings.put("speed", elevenLabsProperties.getSpeed());
+        voiceSettings.put("use_speaker_boost", elevenLabsProperties.getUseSpeakerBoost());
+        requestBody.put("voice_settings", voiceSettings);
+
+        return requestBody;
+    }
+}

src/main/java/com/yolo/keyborad/service/impl/KeyboardAiChatMessageServiceImpl.java

@@ -0,0 +1,113 @@
+package com.yolo.keyborad.service.impl;
+
+import cn.hutool.core.bean.BeanUtil;
+import com.baomidou.mybatisplus.core.conditions.query.LambdaQueryWrapper;
+import com.baomidou.mybatisplus.core.metadata.IPage;
+import com.baomidou.mybatisplus.extension.plugins.pagination.Page;
+import com.baomidou.mybatisplus.extension.service.impl.ServiceImpl;
+import com.yolo.keyborad.mapper.KeyboardAiChatMessageMapper;
+import com.yolo.keyborad.model.entity.KeyboardAiChatMessage;
+import com.yolo.keyborad.model.entity.KeyboardAiChatSession;
+import com.yolo.keyborad.model.vo.ChatMessageHistoryVO;
+import com.yolo.keyborad.service.KeyboardAiChatMessageService;
+import com.yolo.keyborad.service.KeyboardAiChatSessionService;
+import jakarta.annotation.Resource;
+import org.springframework.stereotype.Service;
+
+import java.util.Collections;
+import java.util.List;
+
+/*
+ * @author: ziin
+ * @date: 2026/1/26 17:00
+ */
+@Service
+public class KeyboardAiChatMessageServiceImpl extends ServiceImpl<KeyboardAiChatMessageMapper, KeyboardAiChatMessage> implements KeyboardAiChatMessageService {
+
+    @Resource
+    private KeyboardAiChatSessionService sessionService;
+
+    @Override
+    public IPage<ChatMessageHistoryVO> pageHistory(Long userId, Long companionId, Integer pageNum, Integer pageSize) {
+        // 获取当前活跃会话
+        LambdaQueryWrapper<KeyboardAiChatSession> sessionWrapper = new LambdaQueryWrapper<>();
+        sessionWrapper.eq(KeyboardAiChatSession::getUserId, userId)
+                .eq(KeyboardAiChatSession::getCompanionId, companionId)
+                .eq(KeyboardAiChatSession::getIsActive, true);
+        KeyboardAiChatSession activeSession = sessionService.getOne(sessionWrapper);
+
+        // 如果没有活跃会话，返回空分页
+        if (activeSession == null) {
+            return new Page<ChatMessageHistoryVO>(pageNum, pageSize).setRecords(Collections.emptyList());
+        }
+
+        Page<KeyboardAiChatMessage> page = new Page<>(pageNum, pageSize);
+        LambdaQueryWrapper<KeyboardAiChatMessage> queryWrapper = new LambdaQueryWrapper<>();
+        queryWrapper.eq(KeyboardAiChatMessage::getUserId, userId)
+                .eq(KeyboardAiChatMessage::getCompanionId, companionId)
+                .eq(KeyboardAiChatMessage::getSessionId, activeSession.getId())
+                .orderByAsc(KeyboardAiChatMessage::getCreatedAt)
+                .orderByAsc(KeyboardAiChatMessage::getId);
+        IPage<KeyboardAiChatMessage> entityPage = this.page(page, queryWrapper);
+        return entityPage.convert(entity -> BeanUtil.copyProperties(entity, ChatMessageHistoryVO.class));
+    }
+
+    @Override
+    public List<KeyboardAiChatMessage> getRecentMessages(Long userId, Long companionId, int limit) {
+        // 获取当前活跃会话
+        LambdaQueryWrapper<KeyboardAiChatSession> sessionWrapper = new LambdaQueryWrapper<>();
+        sessionWrapper.eq(KeyboardAiChatSession::getUserId, userId)
+                .eq(KeyboardAiChatSession::getCompanionId, companionId)
+                .eq(KeyboardAiChatSession::getIsActive, true);
+        KeyboardAiChatSession activeSession = sessionService.getOne(sessionWrapper);
+
+        // 如果没有活跃会话，返回空列表
+        if (activeSession == null) {
+            return Collections.emptyList();
+        }
+
+        LambdaQueryWrapper<KeyboardAiChatMessage> queryWrapper = new LambdaQueryWrapper<>();
+        queryWrapper.eq(KeyboardAiChatMessage::getUserId, userId)
+                .eq(KeyboardAiChatMessage::getCompanionId, companionId)
+                .eq(KeyboardAiChatMessage::getSessionId, activeSession.getId())
+                .orderByDesc(KeyboardAiChatMessage::getCreatedAt)
+                .last("LIMIT " + limit);
+        List<KeyboardAiChatMessage> messages = this.list(queryWrapper);
+        // 反转列表，使其按时间正序排列（旧消息在前）
+        Collections.reverse(messages);
+        return messages;
+    }
+
+    @Override
+    public List<Long> getChattedCompanionIds(Long userId) {
+        // 1. 查询用户所有活跃会话
+        LambdaQueryWrapper<KeyboardAiChatSession> sessionWrapper = new LambdaQueryWrapper<>();
+        sessionWrapper.eq(KeyboardAiChatSession::getUserId, userId)
+                .eq(KeyboardAiChatSession::getIsActive, true);
+        List<KeyboardAiChatSession> activeSessions = sessionService.list(sessionWrapper);
+
+        // 2. 如果没有活跃会话，返回空列表
+        if (activeSessions == null || activeSessions.isEmpty()) {
+            return Collections.emptyList();
+        }
+
+        // 3. 提取活跃会话的 sessionId 列表
+        List<Long> activeSessionIds = activeSessions.stream()
+                .map(KeyboardAiChatSession::getId)
+                .collect(java.util.stream.Collectors.toList());
+
+        // 4. 查询这些会话中的消息，获取 companionId，按最近聊天时间倒序
+        LambdaQueryWrapper<KeyboardAiChatMessage> queryWrapper = new LambdaQueryWrapper<>();
+        queryWrapper.eq(KeyboardAiChatMessage::getUserId, userId)
+                .in(KeyboardAiChatMessage::getSessionId, activeSessionIds)
+                .orderByDesc(KeyboardAiChatMessage::getCreatedAt);
+
+        List<KeyboardAiChatMessage> messages = this.list(queryWrapper);
+
+        // 5. 去重并保持顺序（按最近聊天时间）
+        return messages.stream()
+                .map(KeyboardAiChatMessage::getCompanionId)
+                .distinct()
+                .collect(java.util.stream.Collectors.toList());
+    }
+}

src/main/java/com/yolo/keyborad/service/impl/KeyboardAiChatSessionServiceImpl.java

@@ -0,0 +1,97 @@
+package com.yolo.keyborad.service.impl;
+
+import com.baomidou.mybatisplus.core.conditions.query.LambdaQueryWrapper;
+import org.springframework.stereotype.Service;
+import com.baomidou.mybatisplus.extension.service.impl.ServiceImpl;
+import com.yolo.keyborad.mapper.KeyboardAiChatSessionMapper;
+import com.yolo.keyborad.model.entity.KeyboardAiChatSession;
+import com.yolo.keyborad.service.KeyboardAiChatSessionService;
+
+import java.util.Date;
+
+/*
+ * @author: ziin
+ * @date: 2026/1/28 16:20
+ */
+@Service
+public class KeyboardAiChatSessionServiceImpl extends ServiceImpl<KeyboardAiChatSessionMapper, KeyboardAiChatSession> implements KeyboardAiChatSessionService {
+
+    @Override
+    public KeyboardAiChatSession getOrCreateActiveSession(Long userId, Long companionId) {
+        // 查询当前活跃会话
+        LambdaQueryWrapper<KeyboardAiChatSession> queryWrapper = new LambdaQueryWrapper<>();
+        queryWrapper.eq(KeyboardAiChatSession::getUserId, userId)
+                .eq(KeyboardAiChatSession::getCompanionId, companionId)
+                .eq(KeyboardAiChatSession::getIsActive, true);
+        KeyboardAiChatSession activeSession = this.getOne(queryWrapper);
+
+        if (activeSession != null) {
+            return activeSession;
+        }
+
+        // 不存在活跃会话，创建新会话
+        // 先查询该用户与该角色的最大版本号
+        LambdaQueryWrapper<KeyboardAiChatSession> maxVersionWrapper = new LambdaQueryWrapper<>();
+        maxVersionWrapper.eq(KeyboardAiChatSession::getUserId, userId)
+                .eq(KeyboardAiChatSession::getCompanionId, companionId)
+                .orderByDesc(KeyboardAiChatSession::getResetVersion)
+                .last("LIMIT 1");
+        KeyboardAiChatSession lastSession = this.getOne(maxVersionWrapper);
+        int newVersion = lastSession != null ? lastSession.getResetVersion() + 1 : 1;
+
+        // 创建新会话
+        KeyboardAiChatSession newSession = new KeyboardAiChatSession();
+        newSession.setUserId(userId);
+        newSession.setCompanionId(companionId);
+        newSession.setResetVersion(newVersion);
+        newSession.setIsActive(true);
+        newSession.setCreatedAt(new Date());
+        this.save(newSession);
+
+        return newSession;
+    }
+
+    @Override
+    public Long getOrCreateActiveSessionId(Long userId, Long companionId) {
+        return getOrCreateActiveSession(userId, companionId).getId();
+    }
+
+    @Override
+    public KeyboardAiChatSession resetSession(Long userId, Long companionId) {
+        Date now = new Date();
+
+        // 查询当前活跃会话
+        LambdaQueryWrapper<KeyboardAiChatSession> queryWrapper = new LambdaQueryWrapper<>();
+        queryWrapper.eq(KeyboardAiChatSession::getUserId, userId)
+                .eq(KeyboardAiChatSession::getCompanionId, companionId)
+                .eq(KeyboardAiChatSession::getIsActive, true);
+        KeyboardAiChatSession activeSession = this.getOne(queryWrapper);
+
+        // 如果存在活跃会话，将其设为不活跃
+        if (activeSession != null) {
+            activeSession.setIsActive(false);
+            activeSession.setEndedAt(now);
+            this.updateById(activeSession);
+        }
+
+        // 查询该用户与该角色的最大版本号
+        LambdaQueryWrapper<KeyboardAiChatSession> maxVersionWrapper = new LambdaQueryWrapper<>();
+        maxVersionWrapper.eq(KeyboardAiChatSession::getUserId, userId)
+                .eq(KeyboardAiChatSession::getCompanionId, companionId)
+                .orderByDesc(KeyboardAiChatSession::getResetVersion)
+                .last("LIMIT 1");
+        KeyboardAiChatSession lastSession = this.getOne(maxVersionWrapper);
+        int newVersion = lastSession != null ? lastSession.getResetVersion() + 1 : 1;
+
+        // 创建新的活跃会话
+        KeyboardAiChatSession newSession = new KeyboardAiChatSession();
+        newSession.setUserId(userId);
+        newSession.setCompanionId(companionId);
+        newSession.setResetVersion(newVersion);
+        newSession.setIsActive(true);
+        newSession.setCreatedAt(now);
+        this.save(newSession);
+
+        return newSession;
+    }
+}

src/main/java/com/yolo/keyborad/service/impl/KeyboardAiCompanionCommentLikeServiceImpl.java

@@ -0,0 +1,111 @@
+package com.yolo.keyborad.service.impl;
+
+import com.baomidou.mybatisplus.core.conditions.query.LambdaQueryWrapper;
+import com.baomidou.mybatisplus.extension.service.impl.ServiceImpl;
+import com.yolo.keyborad.common.ErrorCode;
+import com.yolo.keyborad.exception.BusinessException;
+import com.yolo.keyborad.mapper.KeyboardAiCompanionCommentLikeMapper;
+import com.yolo.keyborad.mapper.KeyboardAiCompanionCommentMapper;
+import com.yolo.keyborad.model.entity.KeyboardAiCompanionComment;
+import com.yolo.keyborad.model.entity.KeyboardAiCompanionCommentLike;
+import com.yolo.keyborad.service.KeyboardAiCompanionCommentLikeService;
+import jakarta.annotation.Resource;
+import org.springframework.stereotype.Service;
+import org.springframework.transaction.annotation.Transactional;
+
+import java.util.Date;
+import java.util.HashSet;
+import java.util.List;
+import java.util.Set;
+import java.util.stream.Collectors;
+
+/*
+ * @author: ziin
+ * @date: 2026/1/26
+ */
+@Service
+public class KeyboardAiCompanionCommentLikeServiceImpl extends ServiceImpl<KeyboardAiCompanionCommentLikeMapper, KeyboardAiCompanionCommentLike> implements KeyboardAiCompanionCommentLikeService {
+
+    @Resource
+    private KeyboardAiCompanionCommentMapper commentMapper;
+
+    @Override
+    public boolean hasLiked(Long userId, Long commentId) {
+        LambdaQueryWrapper<KeyboardAiCompanionCommentLike> queryWrapper = new LambdaQueryWrapper<>();
+        queryWrapper.eq(KeyboardAiCompanionCommentLike::getUserId, userId)
+                .eq(KeyboardAiCompanionCommentLike::getCommentId, commentId)
+                .eq(KeyboardAiCompanionCommentLike::getStatus, (short) 1);
+        return this.count(queryWrapper) > 0;
+    }
+
+    @Override
+    public Set<Long> getLikedCommentIds(Long userId, List<Long> commentIds) {
+        if (commentIds == null || commentIds.isEmpty()) {
+            return new HashSet<>();
+        }
+        LambdaQueryWrapper<KeyboardAiCompanionCommentLike> queryWrapper = new LambdaQueryWrapper<>();
+        queryWrapper.eq(KeyboardAiCompanionCommentLike::getUserId, userId)
+                .in(KeyboardAiCompanionCommentLike::getCommentId, commentIds)
+                .eq(KeyboardAiCompanionCommentLike::getStatus, (short) 1);
+        List<KeyboardAiCompanionCommentLike> likes = this.list(queryWrapper);
+        return likes.stream()
+                .map(KeyboardAiCompanionCommentLike::getCommentId)
+                .collect(Collectors.toSet());
+    }
+
+    @Override
+    @Transactional(rollbackFor = Exception.class)
+    public boolean toggleLike(Long userId, Long commentId) {
+        // 检查评论是否存在
+        KeyboardAiCompanionComment comment = commentMapper.selectById(commentId);
+        if (comment == null || comment.getStatus() != 1) {
+            throw new BusinessException(ErrorCode.COMMENT_NOT_FOUND);
+        }
+
+        // 查找现有点赞记录
+        LambdaQueryWrapper<KeyboardAiCompanionCommentLike> queryWrapper = new LambdaQueryWrapper<>();
+        queryWrapper.eq(KeyboardAiCompanionCommentLike::getUserId, userId)
+                .eq(KeyboardAiCompanionCommentLike::getCommentId, commentId);
+        KeyboardAiCompanionCommentLike existingLike = this.getOne(queryWrapper);
+
+        Date now = new Date();
+        boolean isLiked;
+
+        if (existingLike != null) {
+            // 切换点赞状态
+            if (existingLike.getStatus() == 1) {
+                // 取消点赞
+                existingLike.setStatus((short) 0);
+                existingLike.setUpdatedAt(now);
+                this.updateById(existingLike);
+                // 减少点赞数
+                comment.setLikeCount(Math.max(0, comment.getLikeCount() - 1));
+                isLiked = false;
+            } else {
+                // 重新点赞
+                existingLike.setStatus((short) 1);
+                existingLike.setUpdatedAt(now);
+                this.updateById(existingLike);
+                // 增加点赞数
+                comment.setLikeCount(comment.getLikeCount() + 1);
+                isLiked = true;
+            }
+        } else {
+            // 新增点赞记录
+            KeyboardAiCompanionCommentLike like = new KeyboardAiCompanionCommentLike();
+            like.setUserId(userId);
+            like.setCommentId(commentId);
+            like.setStatus((short) 1);
+            like.setCreatedAt(now);
+            like.setUpdatedAt(now);
+            this.save(like);
+            // 增加点赞数
+            comment.setLikeCount(comment.getLikeCount() + 1);
+            isLiked = true;
+        }
+
+        // 更新评论点赞数
+        commentMapper.updateById(comment);
+        return isLiked;
+    }
+}

src/main/java/com/yolo/keyborad/service/impl/KeyboardAiCompanionCommentServiceImpl.java

@@ -0,0 +1,211 @@
+package com.yolo.keyborad.service.impl;
+
+import com.baomidou.mybatisplus.core.conditions.query.LambdaQueryWrapper;
+import com.baomidou.mybatisplus.core.metadata.IPage;
+import com.baomidou.mybatisplus.extension.plugins.pagination.Page;
+import com.baomidou.mybatisplus.extension.service.impl.ServiceImpl;
+import com.yolo.keyborad.mapper.KeyboardAiCompanionCommentMapper;
+import com.yolo.keyborad.model.entity.KeyboardAiCompanionComment;
+import com.yolo.keyborad.model.entity.KeyboardUser;
+import com.yolo.keyborad.model.vo.CommentVO;
+import com.yolo.keyborad.service.KeyboardAiCompanionCommentService;
+import com.yolo.keyborad.service.KeyboardAiCompanionCommentLikeService;
+import com.yolo.keyborad.service.UserService;
+import jakarta.annotation.Resource;
+import org.springframework.stereotype.Service;
+
+import java.util.ArrayList;
+import java.util.Date;
+import java.util.List;
+import java.util.Map;
+import java.util.Set;
+import java.util.stream.Collectors;
+
+/*
+ * @author: ziin
+ * @date: 2026/1/26 20:31
+ */
+@Service
+public class KeyboardAiCompanionCommentServiceImpl extends ServiceImpl<KeyboardAiCompanionCommentMapper, KeyboardAiCompanionComment> implements KeyboardAiCompanionCommentService {
+
+    @Resource
+    private UserService userService;
+
+    @Resource
+    private KeyboardAiCompanionCommentLikeService commentLikeService;
+
+    @Override
+    public Long addComment(Long userId, Long companionId, String content, Long parentId, Long rootId) {
+        KeyboardAiCompanionComment comment = new KeyboardAiCompanionComment();
+        comment.setUserId(userId);
+        comment.setCompanionId(companionId);
+        comment.setContent(content);
+        comment.setParentId(parentId);
+        comment.setRootId(rootId);
+        comment.setStatus((short) 1);
+        comment.setLikeCount(0);
+        comment.setCreatedAt(new Date());
+        this.save(comment);
+        return comment.getId();
+    }
+
+    @Override
+    public IPage<CommentVO> pageComments(Long companionId, Integer pageNum, Integer pageSize) {
+        Page<KeyboardAiCompanionComment> page = new Page<>(pageNum, pageSize);
+        LambdaQueryWrapper<KeyboardAiCompanionComment> queryWrapper = new LambdaQueryWrapper<>();
+        queryWrapper.eq(KeyboardAiCompanionComment::getCompanionId, companionId)
+                .eq(KeyboardAiCompanionComment::getStatus, 1)
+                .isNull(KeyboardAiCompanionComment::getParentId)
+                .orderByDesc(KeyboardAiCompanionComment::getCreatedAt);
+        IPage<KeyboardAiCompanionComment> entityPage = this.page(page, queryWrapper);
+
+        // 获取所有用户ID
+        List<Long> userIds = entityPage.getRecords().stream()
+                .map(KeyboardAiCompanionComment::getUserId)
+                .distinct()
+                .collect(Collectors.toList());
+
+        // 批量查询用户信息
+        Map<Long, KeyboardUser> userMap = Map.of();
+        if (!userIds.isEmpty()) {
+            List<KeyboardUser> users = userService.listByIds(userIds);
+            userMap = users.stream().collect(Collectors.toMap(KeyboardUser::getId, u -> u));
+        }
+
+        // 转换为VO
+        Map<Long, KeyboardUser> finalUserMap = userMap;
+        return entityPage.convert(entity -> {
+            CommentVO vo = new CommentVO();
+            vo.setId(entity.getId());
+            vo.setCompanionId(entity.getCompanionId());
+            vo.setUserId(entity.getUserId());
+            vo.setParentId(entity.getParentId());
+            vo.setRootId(entity.getRootId());
+            vo.setContent(entity.getContent());
+            vo.setLikeCount(entity.getLikeCount());
+            vo.setCreatedAt(entity.getCreatedAt());
+
+            // 填充用户信息
+            KeyboardUser user = finalUserMap.get(entity.getUserId());
+            if (user != null) {
+                vo.setUserName(user.getNickName());
+                vo.setUserAvatar(user.getAvatarUrl());
+            }
+            return vo;
+        });
+    }
+
+    @Override
+    public IPage<CommentVO> pageCommentsWithLikeStatus(Long userId, Long companionId, Integer pageNum, Integer pageSize) {
+        Page<KeyboardAiCompanionComment> page = new Page<>(pageNum, pageSize);
+        LambdaQueryWrapper<KeyboardAiCompanionComment> queryWrapper = new LambdaQueryWrapper<>();
+        queryWrapper.eq(KeyboardAiCompanionComment::getCompanionId, companionId)
+                .eq(KeyboardAiCompanionComment::getStatus, 1)
+                .isNull(KeyboardAiCompanionComment::getParentId)
+                .orderByDesc(KeyboardAiCompanionComment::getCreatedAt);
+        IPage<KeyboardAiCompanionComment> entityPage = this.page(page, queryWrapper);
+
+        // 获取所有一级评论ID
+        List<Long> topCommentIds = entityPage.getRecords().stream()
+                .map(KeyboardAiCompanionComment::getId)
+                .collect(Collectors.toList());
+
+        // 批量查询回复（每条一级评论取前3条回复）
+        Map<Long, List<KeyboardAiCompanionComment>> repliesMap = Map.of();
+        Map<Long, Long> replyCountMap = Map.of();
+        if (!topCommentIds.isEmpty()) {
+            // 查询所有回复
+            LambdaQueryWrapper<KeyboardAiCompanionComment> replyWrapper = new LambdaQueryWrapper<>();
+            replyWrapper.in(KeyboardAiCompanionComment::getRootId, topCommentIds)
+                    .eq(KeyboardAiCompanionComment::getStatus, 1)
+                    .orderByAsc(KeyboardAiCompanionComment::getCreatedAt);
+            List<KeyboardAiCompanionComment> allReplies = this.list(replyWrapper);
+
+            // 按rootId分组，每组取前3条
+            repliesMap = allReplies.stream()
+                    .collect(Collectors.groupingBy(KeyboardAiCompanionComment::getRootId));
+
+            // 统计回复数量
+            replyCountMap = repliesMap.entrySet().stream()
+                    .collect(Collectors.toMap(Map.Entry::getKey, e -> (long) e.getValue().size()));
+
+            // 每组只保留前3条
+            repliesMap = repliesMap.entrySet().stream()
+                    .collect(Collectors.toMap(
+                            Map.Entry::getKey,
+                            e -> e.getValue().stream().limit(999).collect(Collectors.toList())
+                    ));
+        }
+
+        // 收集所有需要查询的用户ID（一级评论 + 回复）
+        List<Long> userIds = new ArrayList<>(entityPage.getRecords().stream()
+                .map(KeyboardAiCompanionComment::getUserId)
+                .collect(Collectors.toSet()));
+        repliesMap.values().stream()
+                .flatMap(List::stream)
+                .map(KeyboardAiCompanionComment::getUserId)
+                .forEach(uid -> {
+                    if (!userIds.contains(uid)) {
+                        userIds.add(uid);
+                    }
+                });
+
+        // 批量查询用户信息
+        Map<Long, KeyboardUser> userMap = Map.of();
+        if (!userIds.isEmpty()) {
+            List<KeyboardUser> users = userService.listByIds(userIds);
+            userMap = users.stream().collect(Collectors.toMap(KeyboardUser::getId, u -> u));
+        }
+
+        // 收集所有评论ID用于查询点赞状态（一级评论 + 回复）
+        List<Long> allCommentIds = new ArrayList<>(topCommentIds);
+        repliesMap.values().stream()
+                .flatMap(List::stream)
+                .map(KeyboardAiCompanionComment::getId)
+                .forEach(allCommentIds::add);
+        Set<Long> likedCommentIds = commentLikeService.getLikedCommentIds(userId, allCommentIds);
+
+        // 转换为VO
+        Map<Long, KeyboardUser> finalUserMap = userMap;
+        Map<Long, List<KeyboardAiCompanionComment>> finalRepliesMap = repliesMap;
+        Map<Long, Long> finalReplyCountMap = replyCountMap;
+
+        return entityPage.convert(entity -> {
+            CommentVO vo = convertToVO(entity, finalUserMap, likedCommentIds);
+
+            // 填充回复列表
+            List<KeyboardAiCompanionComment> replies = finalRepliesMap.getOrDefault(entity.getId(), List.of());
+            List<CommentVO> replyVOs = replies.stream()
+                    .map(reply -> convertToVO(reply, finalUserMap, likedCommentIds))
+                    .collect(Collectors.toList());
+            vo.setReplies(replyVOs);
+            vo.setReplyCount(finalReplyCountMap.getOrDefault(entity.getId(), 0L).intValue());
+
+            return vo;
+        });
+    }
+
+    /**
+     * 将评论实体转换为VO
+     */
+    private CommentVO convertToVO(KeyboardAiCompanionComment entity, Map<Long, KeyboardUser> userMap, Set<Long> likedCommentIds) {
+        CommentVO vo = new CommentVO();
+        vo.setId(entity.getId());
+        vo.setCompanionId(entity.getCompanionId());
+        vo.setUserId(entity.getUserId());
+        vo.setParentId(entity.getParentId());
+        vo.setRootId(entity.getRootId());
+        vo.setContent(entity.getContent());
+        vo.setLikeCount(entity.getLikeCount());
+        vo.setCreatedAt(entity.getCreatedAt());
+        vo.setLiked(likedCommentIds.contains(entity.getId()));
+
+        // 填充用户信息
+        KeyboardUser user = userMap.get(entity.getUserId());
+        if (user != null) {
+            vo.setUserName(user.getNickName());
+            vo.setUserAvatar(user.getAvatarUrl());
+        }
+        return vo;
+    }
+}

src/main/java/com/yolo/keyborad/service/impl/KeyboardAiCompanionLikeServiceImpl.java

@@ -0,0 +1,115 @@
+package com.yolo.keyborad.service.impl;
+
+import com.baomidou.mybatisplus.core.conditions.query.LambdaQueryWrapper;
+import com.baomidou.mybatisplus.extension.service.impl.ServiceImpl;
+import com.yolo.keyborad.common.ErrorCode;
+import com.yolo.keyborad.exception.BusinessException;
+import com.yolo.keyborad.mapper.KeyboardAiCompanionLikeMapper;
+import com.yolo.keyborad.mapper.KeyboardAiCompanionMapper;
+import com.yolo.keyborad.model.entity.KeyboardAiCompanion;
+import com.yolo.keyborad.model.entity.KeyboardAiCompanionLike;
+import com.yolo.keyborad.service.KeyboardAiCompanionLikeService;
+import jakarta.annotation.Resource;
+import org.springframework.stereotype.Service;
+import org.springframework.transaction.annotation.Transactional;
+
+import java.util.Date;
+import java.util.HashSet;
+import java.util.List;
+import java.util.Set;
+import java.util.stream.Collectors;
+
+/*
+ * @author: ziin
+ * @date: 2026/1/27 18:18
+ */
+@Service
+public class KeyboardAiCompanionLikeServiceImpl extends ServiceImpl<KeyboardAiCompanionLikeMapper, KeyboardAiCompanionLike> implements KeyboardAiCompanionLikeService {
+
+    @Resource
+    private KeyboardAiCompanionMapper companionMapper;
+
+    @Override
+    public boolean hasLiked(Long userId, Long companionId) {
+        LambdaQueryWrapper<KeyboardAiCompanionLike> queryWrapper = new LambdaQueryWrapper<>();
+        queryWrapper.eq(KeyboardAiCompanionLike::getUserId, userId)
+                .eq(KeyboardAiCompanionLike::getCompanionId, companionId)
+                .eq(KeyboardAiCompanionLike::getStatus, (short) 1);
+        return this.count(queryWrapper) > 0;
+    }
+
+    @Override
+    public Set<Long> getLikedCompanionIds(Long userId, List<Long> companionIds) {
+        if (companionIds == null || companionIds.isEmpty()) {
+            return new HashSet<>();
+        }
+        LambdaQueryWrapper<KeyboardAiCompanionLike> queryWrapper = new LambdaQueryWrapper<>();
+        queryWrapper.eq(KeyboardAiCompanionLike::getUserId, userId)
+                .in(KeyboardAiCompanionLike::getCompanionId, companionIds)
+                .eq(KeyboardAiCompanionLike::getStatus, (short) 1);
+        List<KeyboardAiCompanionLike> likes = this.list(queryWrapper);
+        return likes.stream()
+                .map(KeyboardAiCompanionLike::getCompanionId)
+                .collect(Collectors.toSet());
+    }
+
+    @Override
+    @Transactional(rollbackFor = Exception.class)
+    public boolean toggleLike(Long userId, Long companionId) {
+        // 检查AI角色是否存在
+        KeyboardAiCompanion companion = companionMapper.selectById(companionId);
+        if (companion == null || companion.getStatus() != 1) {
+            throw new BusinessException(ErrorCode.COMPANION_NOT_FOUND);
+        }
+
+        // 查找现有点赞记录
+        LambdaQueryWrapper<KeyboardAiCompanionLike> queryWrapper = new LambdaQueryWrapper<>();
+        queryWrapper.eq(KeyboardAiCompanionLike::getUserId, userId)
+                .eq(KeyboardAiCompanionLike::getCompanionId, companionId);
+        KeyboardAiCompanionLike existingLike = this.getOne(queryWrapper);
+
+        Date now = new Date();
+        boolean isLiked;
+
+        if (existingLike != null) {
+            // 切换点赞状态
+            if (existingLike.getStatus() == 1) {
+                // 取消点赞
+                existingLike.setStatus((short) 0);
+                existingLike.setUpdatedAt(now);
+                this.updateById(existingLike);
+                isLiked = false;
+            } else {
+                // 重新点赞
+                existingLike.setStatus((short) 1);
+                existingLike.setUpdatedAt(now);
+                this.updateById(existingLike);
+                isLiked = true;
+            }
+        } else {
+            // 新增点赞记录
+            KeyboardAiCompanionLike like = new KeyboardAiCompanionLike();
+            like.setUserId(userId);
+            like.setCompanionId(companionId);
+            like.setStatus((short) 1);
+            like.setCreatedAt(now);
+            like.setUpdatedAt(now);
+            this.save(like);
+            isLiked = true;
+        }
+
+        return isLiked;
+    }
+
+    @Override
+    public List<Long> getAllLikedCompanionIds(Long userId) {
+        LambdaQueryWrapper<KeyboardAiCompanionLike> queryWrapper = new LambdaQueryWrapper<>();
+        queryWrapper.eq(KeyboardAiCompanionLike::getUserId, userId)
+                .eq(KeyboardAiCompanionLike::getStatus, (short) 1)
+                .select(KeyboardAiCompanionLike::getCompanionId);
+        List<KeyboardAiCompanionLike> likes = this.list(queryWrapper);
+        return likes.stream()
+                .map(KeyboardAiCompanionLike::getCompanionId)
+                .collect(Collectors.toList());
+    }
+}

src/main/java/com/yolo/keyborad/service/impl/KeyboardAiCompanionReportServiceImpl.java

@@ -0,0 +1,77 @@
+package com.yolo.keyborad.service.impl;
+
+import com.yolo.keyborad.common.ErrorCode;
+import com.yolo.keyborad.exception.BusinessException;
+import com.yolo.keyborad.model.dto.companion.CompanionReportReq;
+import com.yolo.keyborad.model.entity.KeyboardAiCompanion;
+import com.yolo.keyborad.service.KeyboardAiCompanionService;
+import jakarta.annotation.Resource;
+import org.springframework.stereotype.Service;
+import org.springframework.beans.factory.annotation.Autowired;
+import java.util.Date;
+import java.util.List;
+import java.util.stream.Collectors;
+import com.baomidou.mybatisplus.extension.service.impl.ServiceImpl;
+import com.yolo.keyborad.mapper.KeyboardAiCompanionReportMapper;
+import com.yolo.keyborad.model.entity.KeyboardAiCompanionReport;
+import com.yolo.keyborad.service.KeyboardAiCompanionReportService;
+/*
+* @author: ziin
+* @date: 2026/1/29 16:17
+*/
+
+@Service
+public class KeyboardAiCompanionReportServiceImpl extends ServiceImpl<KeyboardAiCompanionReportMapper, KeyboardAiCompanionReport> implements KeyboardAiCompanionReportService{
+
+    @Resource
+    private KeyboardAiCompanionService aiCompanionService;
+
+    @Override
+    public Long reportCompanion(Long userId, CompanionReportReq req) {
+        // 校验 companionId 不为空
+        if (req.getCompanionId() == null) {
+            throw new BusinessException(ErrorCode.REPORT_COMPANION_ID_EMPTY);
+        }
+
+        // 校验 reportTypes 不为空
+        if (req.getReportTypes() == null || req.getReportTypes().isEmpty()) {
+            throw new BusinessException(ErrorCode.REPORT_TYPE_EMPTY);
+        }
+
+        // 校验每个 reportType 在有效范围内（1,2,3,4,5,99）
+        List<Short> validTypes = List.of((short) 1, (short) 2, (short) 3, (short) 4, (short) 5, (short) 99);
+        for (Short type : req.getReportTypes()) {
+            if (!validTypes.contains(type)) {
+                throw new BusinessException(ErrorCode.REPORT_TYPE_INVALID);
+            }
+        }
+
+        // 校验 AI 角色是否存在
+        KeyboardAiCompanion companion = aiCompanionService.getById(req.getCompanionId());
+        if (companion == null) {
+            throw new BusinessException(ErrorCode.COMPANION_NOT_FOUND);
+        }
+
+        // 创建举报记录
+        KeyboardAiCompanionReport report = new KeyboardAiCompanionReport();
+        report.setUserId(userId);
+        report.setCompanionId(req.getCompanionId());
+
+        // 将 List<Short> 转换为逗号分隔的字符串
+        String reportTypeStr = req.getReportTypes().stream()
+                .map(String::valueOf)
+                .collect(Collectors.joining(","));
+        report.setReportType(reportTypeStr);
+
+        report.setReportDesc(req.getReportDesc());
+        report.setChatContext(req.getChatContext());
+        report.setEvidenceImageUrl(req.getEvidenceImageUrl());
+        report.setStatus((short) 0); // 待处理
+        report.setCreatedAt(new Date());
+
+        // 保存并返回 ID
+        this.save(report);
+        return report.getId();
+    }
+
+}

src/main/java/com/yolo/keyborad/service/impl/KeyboardAiCompanionServiceImpl.java

@@ -0,0 +1,300 @@
+package com.yolo.keyborad.service.impl;
+
+import cn.hutool.core.bean.BeanUtil;
+import com.baomidou.mybatisplus.core.conditions.query.LambdaQueryWrapper;
+import com.baomidou.mybatisplus.core.metadata.IPage;
+import com.baomidou.mybatisplus.extension.plugins.pagination.Page;
+import com.yolo.keyborad.common.ErrorCode;
+import com.yolo.keyborad.exception.BusinessException;
+import com.yolo.keyborad.model.entity.KeyboardAiCompanionComment;
+import com.yolo.keyborad.model.entity.KeyboardAiCompanionLike;
+import com.yolo.keyborad.model.vo.AiCompanionVO;
+import com.yolo.keyborad.service.KeyboardAiCompanionCommentService;
+import com.yolo.keyborad.service.KeyboardAiCompanionLikeService;
+import com.yolo.keyborad.service.KeyboardAiChatMessageService;
+import jakarta.annotation.Resource;
+import org.springframework.stereotype.Service;
+import com.baomidou.mybatisplus.extension.service.impl.ServiceImpl;
+import com.yolo.keyborad.model.entity.KeyboardAiCompanion;
+import com.yolo.keyborad.mapper.KeyboardAiCompanionMapper;
+import com.yolo.keyborad.service.KeyboardAiCompanionService;
+
+import java.util.List;
+import java.util.Map;
+import java.util.Set;
+import java.util.stream.Collectors;
+
+/*
+ * @author: ziin
+ * @date: 2026/1/26 13:51
+ */
+@Service
+public class KeyboardAiCompanionServiceImpl extends ServiceImpl<KeyboardAiCompanionMapper, KeyboardAiCompanion> implements KeyboardAiCompanionService {
+
+    @Resource
+    private KeyboardAiCompanionLikeService companionLikeService;
+
+    @Resource
+    private KeyboardAiCompanionCommentService companionCommentService;
+
+    @Resource
+    private KeyboardAiChatMessageService chatMessageService;
+
+    @Override
+    public IPage<AiCompanionVO> pageList(Integer pageNum, Integer pageSize) {
+        Page<KeyboardAiCompanion> page = new Page<>(pageNum, pageSize);
+        LambdaQueryWrapper<KeyboardAiCompanion> queryWrapper = new LambdaQueryWrapper<>();
+        queryWrapper.eq(KeyboardAiCompanion::getStatus, 1)
+                .eq(KeyboardAiCompanion::getVisibility, 1)
+                .orderByDesc(KeyboardAiCompanion::getSortOrder)
+                .orderByDesc(KeyboardAiCompanion::getPopularityScore);
+        IPage<KeyboardAiCompanion> entityPage = this.page(page, queryWrapper);
+
+        // 获取所有角色ID
+        List<Long> companionIds = entityPage.getRecords().stream()
+                .map(KeyboardAiCompanion::getId)
+                .collect(Collectors.toList());
+
+        // 批量统计点赞数
+        Map<Long, Long> likeCountMap = Map.of();
+        if (!companionIds.isEmpty()) {
+            LambdaQueryWrapper<KeyboardAiCompanionLike> likeWrapper = new LambdaQueryWrapper<>();
+            likeWrapper.in(KeyboardAiCompanionLike::getCompanionId, companionIds)
+                    .eq(KeyboardAiCompanionLike::getStatus, (short) 1);
+            List<KeyboardAiCompanionLike> likes = companionLikeService.list(likeWrapper);
+            likeCountMap = likes.stream()
+                    .collect(Collectors.groupingBy(KeyboardAiCompanionLike::getCompanionId, Collectors.counting()));
+        }
+
+        // 批量统计评论数
+        Map<Long, Long> commentCountMap = Map.of();
+        if (!companionIds.isEmpty()) {
+            LambdaQueryWrapper<KeyboardAiCompanionComment> commentWrapper = new LambdaQueryWrapper<>();
+            commentWrapper.in(KeyboardAiCompanionComment::getCompanionId, companionIds)
+                    .eq(KeyboardAiCompanionComment::getStatus, (short) 1);
+            List<KeyboardAiCompanionComment> comments = companionCommentService.list(commentWrapper);
+            commentCountMap = comments.stream()
+                    .collect(Collectors.groupingBy(KeyboardAiCompanionComment::getCompanionId, Collectors.counting()));
+        }
+
+        // 转换为VO并填充统计数据
+        Map<Long, Long> finalLikeCountMap = likeCountMap;
+        Map<Long, Long> finalCommentCountMap = commentCountMap;
+        return entityPage.convert(entity -> {
+            AiCompanionVO vo = BeanUtil.copyProperties(entity, AiCompanionVO.class);
+            vo.setLikeCount(finalLikeCountMap.getOrDefault(entity.getId(), 0L).intValue());
+            vo.setCommentCount(finalCommentCountMap.getOrDefault(entity.getId(), 0L).intValue());
+            return vo;
+        });
+    }
+
+    @Override
+    public IPage<AiCompanionVO> pageListWithLikeStatus(Long userId, Integer pageNum, Integer pageSize) {
+        Page<KeyboardAiCompanion> page = new Page<>(pageNum, pageSize);
+        LambdaQueryWrapper<KeyboardAiCompanion> queryWrapper = new LambdaQueryWrapper<>();
+        queryWrapper.eq(KeyboardAiCompanion::getStatus, 1)
+                .eq(KeyboardAiCompanion::getVisibility, 1)
+                .orderByDesc(KeyboardAiCompanion::getSortOrder)
+                .orderByDesc(KeyboardAiCompanion::getPopularityScore);
+        IPage<KeyboardAiCompanion> entityPage = this.page(page, queryWrapper);
+
+        // 获取所有角色ID
+        List<Long> companionIds = entityPage.getRecords().stream()
+                .map(KeyboardAiCompanion::getId)
+                .collect(Collectors.toList());
+
+        // 批量统计点赞数
+        Map<Long, Long> likeCountMap = Map.of();
+        if (!companionIds.isEmpty()) {
+            LambdaQueryWrapper<KeyboardAiCompanionLike> likeWrapper = new LambdaQueryWrapper<>();
+            likeWrapper.in(KeyboardAiCompanionLike::getCompanionId, companionIds)
+                    .eq(KeyboardAiCompanionLike::getStatus, (short) 1);
+            List<KeyboardAiCompanionLike> likes = companionLikeService.list(likeWrapper);
+            likeCountMap = likes.stream()
+                    .collect(Collectors.groupingBy(KeyboardAiCompanionLike::getCompanionId, Collectors.counting()));
+        }
+
+        // 批量统计评论数
+        Map<Long, Long> commentCountMap = Map.of();
+        if (!companionIds.isEmpty()) {
+            LambdaQueryWrapper<KeyboardAiCompanionComment> commentWrapper = new LambdaQueryWrapper<>();
+            commentWrapper.in(KeyboardAiCompanionComment::getCompanionId, companionIds)
+                    .eq(KeyboardAiCompanionComment::getStatus, (short) 1);
+            List<KeyboardAiCompanionComment> comments = companionCommentService.list(commentWrapper);
+            commentCountMap = comments.stream()
+                    .collect(Collectors.groupingBy(KeyboardAiCompanionComment::getCompanionId, Collectors.counting()));
+        }
+
+        // 获取当前用户已点赞的角色ID
+        Set<Long> likedCompanionIds = companionLikeService.getLikedCompanionIds(userId, companionIds);
+
+        // 转换为VO并填充统计数据和点赞状态
+        Map<Long, Long> finalLikeCountMap = likeCountMap;
+        Map<Long, Long> finalCommentCountMap = commentCountMap;
+        return entityPage.convert(entity -> {
+            AiCompanionVO vo = BeanUtil.copyProperties(entity, AiCompanionVO.class);
+            vo.setLikeCount(finalLikeCountMap.getOrDefault(entity.getId(), 0L).intValue());
+            vo.setCommentCount(finalCommentCountMap.getOrDefault(entity.getId(), 0L).intValue());
+            vo.setLiked(likedCompanionIds.contains(entity.getId()));
+            return vo;
+        });
+    }
+
+    @Override
+    public String getSystemPromptById(Long companionId) {
+        KeyboardAiCompanion companion = this.getById(companionId);
+        if (companion == null) {
+            throw new BusinessException(ErrorCode.NOT_FOUND_ERROR, "AI陪聊角色不存在");
+        }
+        if (companion.getStatus() != 1) {
+            throw new BusinessException(ErrorCode.PARAMS_ERROR, "AI陪聊角色已下线");
+        }
+        return companion.getSystemPrompt();
+    }
+
+    @Override
+    public List<AiCompanionVO> getLikedCompanions(Long userId) {
+        // 获取用户点赞过的所有AI角色ID
+        List<Long> likedCompanionIds = companionLikeService.getAllLikedCompanionIds(userId);
+        if (likedCompanionIds.isEmpty()) {
+            return List.of();
+        }
+
+        // 查询这些AI角色的详细信息（只返回已上线且可见的）
+        LambdaQueryWrapper<KeyboardAiCompanion> queryWrapper = new LambdaQueryWrapper<>();
+        queryWrapper.in(KeyboardAiCompanion::getId, likedCompanionIds)
+                .eq(KeyboardAiCompanion::getStatus, 1)
+                .eq(KeyboardAiCompanion::getVisibility, 1)
+                .orderByDesc(KeyboardAiCompanion::getSortOrder)
+                .orderByDesc(KeyboardAiCompanion::getPopularityScore);
+        List<KeyboardAiCompanion> companions = this.list(queryWrapper);
+
+        if (companions.isEmpty()) {
+            return List.of();
+        }
+
+        // 获取实际查询到的角色ID
+        List<Long> companionIds = companions.stream()
+                .map(KeyboardAiCompanion::getId)
+                .collect(Collectors.toList());
+
+        // 批量统计点赞数
+        LambdaQueryWrapper<KeyboardAiCompanionLike> likeWrapper = new LambdaQueryWrapper<>();
+        likeWrapper.in(KeyboardAiCompanionLike::getCompanionId, companionIds)
+                .eq(KeyboardAiCompanionLike::getStatus, (short) 1);
+        List<KeyboardAiCompanionLike> likes = companionLikeService.list(likeWrapper);
+        Map<Long, Long> likeCountMap = likes.stream()
+                .collect(Collectors.groupingBy(KeyboardAiCompanionLike::getCompanionId, Collectors.counting()));
+
+        // 批量统计评论数
+        LambdaQueryWrapper<KeyboardAiCompanionComment> commentWrapper = new LambdaQueryWrapper<>();
+        commentWrapper.in(KeyboardAiCompanionComment::getCompanionId, companionIds)
+                .eq(KeyboardAiCompanionComment::getStatus, (short) 1);
+        List<KeyboardAiCompanionComment> comments = companionCommentService.list(commentWrapper);
+        Map<Long, Long> commentCountMap = comments.stream()
+                .collect(Collectors.groupingBy(KeyboardAiCompanionComment::getCompanionId, Collectors.counting()));
+
+        // 转换为VO并填充统计数据
+        return companions.stream().map(entity -> {
+            AiCompanionVO vo = BeanUtil.copyProperties(entity, AiCompanionVO.class);
+            vo.setLikeCount(likeCountMap.getOrDefault(entity.getId(), 0L).intValue());
+            vo.setCommentCount(commentCountMap.getOrDefault(entity.getId(), 0L).intValue());
+            vo.setLiked(true); // 用户已点赞
+            return vo;
+        }).collect(Collectors.toList());
+    }
+
+    @Override
+    public List<AiCompanionVO> getChattedCompanions(Long userId) {
+        // 获取用户聊过天的所有AI角色ID
+        List<Long> chattedCompanionIds = chatMessageService.getChattedCompanionIds(userId);
+        if (chattedCompanionIds.isEmpty()) {
+            return List.of();
+        }
+
+        // 查询这些AI角色的详细信息（只返回已上线且可见的）
+        LambdaQueryWrapper<KeyboardAiCompanion> queryWrapper = new LambdaQueryWrapper<>();
+        queryWrapper.in(KeyboardAiCompanion::getId, chattedCompanionIds)
+                .eq(KeyboardAiCompanion::getStatus, 1)
+                .eq(KeyboardAiCompanion::getVisibility, 1);
+        List<KeyboardAiCompanion> companions = this.list(queryWrapper);
+
+        if (companions.isEmpty()) {
+            return List.of();
+        }
+
+        // 获取实际查询到的角色ID
+        List<Long> companionIds = companions.stream()
+                .map(KeyboardAiCompanion::getId)
+                .collect(Collectors.toList());
+
+        // 批量统计点赞数
+        LambdaQueryWrapper<KeyboardAiCompanionLike> likeWrapper = new LambdaQueryWrapper<>();
+        likeWrapper.in(KeyboardAiCompanionLike::getCompanionId, companionIds)
+                .eq(KeyboardAiCompanionLike::getStatus, (short) 1);
+        List<KeyboardAiCompanionLike> likes = companionLikeService.list(likeWrapper);
+        Map<Long, Long> likeCountMap = likes.stream()
+                .collect(Collectors.groupingBy(KeyboardAiCompanionLike::getCompanionId, Collectors.counting()));
+
+        // 批量统计评论数
+        LambdaQueryWrapper<KeyboardAiCompanionComment> commentWrapper = new LambdaQueryWrapper<>();
+        commentWrapper.in(KeyboardAiCompanionComment::getCompanionId, companionIds)
+                .eq(KeyboardAiCompanionComment::getStatus, (short) 1);
+        List<KeyboardAiCompanionComment> comments = companionCommentService.list(commentWrapper);
+        Map<Long, Long> commentCountMap = comments.stream()
+                .collect(Collectors.groupingBy(KeyboardAiCompanionComment::getCompanionId, Collectors.counting()));
+
+        // 获取当前用户已点赞的角色ID
+        Set<Long> likedCompanionIds = companionLikeService.getLikedCompanionIds(userId, companionIds);
+
+        // 转换为VO并填充统计数据，保持原有顺序（按最近聊天时间）
+        Map<Long, KeyboardAiCompanion> companionMap = companions.stream()
+                .collect(Collectors.toMap(KeyboardAiCompanion::getId, c -> c));
+
+        return chattedCompanionIds.stream()
+                .filter(companionMap::containsKey)
+                .map(id -> {
+                    KeyboardAiCompanion entity = companionMap.get(id);
+                    AiCompanionVO vo = BeanUtil.copyProperties(entity, AiCompanionVO.class);
+                    vo.setLikeCount(likeCountMap.getOrDefault(entity.getId(), 0L).intValue());
+                    vo.setCommentCount(commentCountMap.getOrDefault(entity.getId(), 0L).intValue());
+                    vo.setLiked(likedCompanionIds.contains(entity.getId()));
+                    return vo;
+                }).collect(Collectors.toList());
+    }
+
+    @Override
+    public AiCompanionVO getCompanionById(Long userId, Long companionId) {
+        // 查询AI角色
+        KeyboardAiCompanion companion = this.getById(companionId);
+        if (companion == null) {
+            throw new BusinessException(ErrorCode.COMPANION_NOT_FOUND);
+        }
+        if (companion.getStatus() != 1 || companion.getVisibility() != 1) {
+            throw new BusinessException(ErrorCode.COMPANION_NOT_FOUND);
+        }
+
+        // 统计点赞数
+        LambdaQueryWrapper<KeyboardAiCompanionLike> likeWrapper = new LambdaQueryWrapper<>();
+        likeWrapper.eq(KeyboardAiCompanionLike::getCompanionId, companionId)
+                .eq(KeyboardAiCompanionLike::getStatus, (short) 1);
+        long likeCount = companionLikeService.count(likeWrapper);
+
+        // 统计评论数
+        LambdaQueryWrapper<KeyboardAiCompanionComment> commentWrapper = new LambdaQueryWrapper<>();
+        commentWrapper.eq(KeyboardAiCompanionComment::getCompanionId, companionId)
+                .eq(KeyboardAiCompanionComment::getStatus, (short) 1);
+        long commentCount = companionCommentService.count(commentWrapper);
+
+        // 获取当前用户点赞状态
+        boolean liked = companionLikeService.hasLiked(userId, companionId);
+
+        // 转换为VO
+        AiCompanionVO vo = BeanUtil.copyProperties(companion, AiCompanionVO.class);
+        vo.setLikeCount((int) likeCount);
+        vo.setCommentCount((int) commentCount);
+        vo.setLiked(liked);
+
+        return vo;
+    }
+}

src/main/resources/application-dev.yml

@@ -68,6 +68,15 @@ dromara:
         bucket-name: keyborad-resource #桶名称
         domain: https://resource.loveamorkey.com/ # 访问域名，注意末尾的'/'，例如：https://abcd.s3.ap-east-1.amazonaws.com/
         base-path: avatar/ # 基础路径
+      - platform: cloudflare-r2-apac # 存储平台标识
+        enable-storage: true  # 启用存储
+        access-key: eda135fe4fda649acecfa4bb49b0c30c
+        secret-key: ee557acaccf44caef985b5cac89db311a0923c72c9f4b8c5f32089c6ebb47a79
+        region: APAC # 区域
+        end-point: https://b632a61caa85401f63c9b32eef3a74c8.r2.cloudflarestorage.com/keyboardtest # 端点
+        bucket-name: keyboardtest #桶名称
+        domain: https://cdn.loveamorkey.com/ # 访问域名，注意末尾的'/'，例如：https://abcd.s3.ap-east-1.amazonaws.com/
+        base-path: tts/ # 基础路径
 
 ############## Sa-Token 配置 (参考文档: https://sa-token.cc) ##############
 sa-token:
@@ -91,3 +100,16 @@ nacos:
     server-addr: 127.0.0.1:8848
     group: DEFAULT_GROUP
     data-id: keyboard_default-config.yaml
+
+elevenlabs:
+  api-key: sk_25339d32bb14c91f460ed9fce83a1951672f07846a7a10ce
+  voice-id: JBFqnCBsd6RMkjVDRZzb
+  model-id: eleven_turbo_v2_5
+  output-format: mp3_44100_128
+
+deepgram:
+  api-key: 9c792eb63a65d644cbc95785155754cd1e84f8cf
+  model: nova-2
+  language: en
+  smart-format: true
+  punctuate: true

src/main/resources/application.yml

@@ -1,13 +1,13 @@
 spring:
   ai:
     openai:
-#      api-key: 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
+      api-key: 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
-      api-key: sk-cf112f49cf4d4138a49575cda1f852b4
+#      api-key: sk-cf112f49cf4d4138a49575cda1f852b4
-#      base-url: https://gateway.ai.cloudflare.com/v1/b632a61caa85401f63c9b32eef3a74c8/aigetway/openrouter
+      base-url: https://gateway.ai.cloudflare.com/v1/b632a61caa85401f63c9b32eef3a74c8/aigetway/openrouter
-      base-url: https://dashscope-intl.aliyuncs.com/compatible-mode/
+#      base-url: https://dashscope-intl.aliyuncs.com/compatible-mode/
       chat:
         options:
-          model: qwen-plus
+          model: google/gemini-2.5-flash-lite
       embedding:
         options:
           model: text-embedding-v4

src/main/resources/mapper/KeyboardAiChatMessageMapper.xml

@@ -0,0 +1,20 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<!DOCTYPE mapper PUBLIC "-//mybatis.org//DTD Mapper 3.0//EN" "http://mybatis.org/dtd/mybatis-3-mapper.dtd">
+<mapper namespace="com.yolo.keyborad.mapper.KeyboardAiChatMessageMapper">
+  <resultMap id="BaseResultMap" type="com.yolo.keyborad.model.entity.KeyboardAiChatMessage">
+    <!--@mbg.generated-->
+    <!--@Table keyboard_ai_chat_message-->
+    <id column="id" jdbcType="BIGINT" property="id" />
+    <result column="user_id" jdbcType="BIGINT" property="userId" />
+    <result column="companion_id" jdbcType="BIGINT" property="companionId" />
+    <result column="sender" jdbcType="SMALLINT" property="sender" />
+    <result column="content" jdbcType="VARCHAR" property="content" />
+    <result column="emotion_detected" jdbcType="VARCHAR" property="emotionDetected" />
+    <result column="support_type" jdbcType="VARCHAR" property="supportType" />
+    <result column="created_at" jdbcType="TIMESTAMP" property="createdAt" />
+  </resultMap>
+  <sql id="Base_Column_List">
+    <!--@mbg.generated-->
+    id, user_id, companion_id, sender, content, emotion_detected, support_type, created_at
+  </sql>
+</mapper>

src/main/resources/mapper/KeyboardAiChatSessionMapper.xml

@@ -0,0 +1,19 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<!DOCTYPE mapper PUBLIC "-//mybatis.org//DTD Mapper 3.0//EN" "http://mybatis.org/dtd/mybatis-3-mapper.dtd">
+<mapper namespace="com.yolo.keyborad.mapper.KeyboardAiChatSessionMapper">
+  <resultMap id="BaseResultMap" type="com.yolo.keyborad.model.entity.KeyboardAiChatSession">
+    <!--@mbg.generated-->
+    <!--@Table keyboard_ai_chat_session-->
+    <id column="id" jdbcType="BIGINT" property="id" />
+    <result column="user_id" jdbcType="BIGINT" property="userId" />
+    <result column="companion_id" jdbcType="BIGINT" property="companionId" />
+    <result column="reset_version" jdbcType="INTEGER" property="resetVersion" />
+    <result column="is_active" jdbcType="BOOLEAN" property="isActive" />
+    <result column="created_at" jdbcType="TIMESTAMP" property="createdAt" />
+    <result column="ended_at" jdbcType="TIMESTAMP" property="endedAt" />
+  </resultMap>
+  <sql id="Base_Column_List">
+    <!--@mbg.generated-->
+    id, user_id, companion_id, reset_version, is_active, created_at, ended_at
+  </sql>
+</mapper>

src/main/resources/mapper/KeyboardAiCompanionCommentLikeMapper.xml

@@ -0,0 +1,18 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<!DOCTYPE mapper PUBLIC "-//mybatis.org//DTD Mapper 3.0//EN" "http://mybatis.org/dtd/mybatis-3-mapper.dtd">
+<mapper namespace="com.yolo.keyborad.mapper.KeyboardAiCompanionCommentLikeMapper">
+  <resultMap id="BaseResultMap" type="com.yolo.keyborad.model.entity.KeyboardAiCompanionCommentLike">
+    <!--@mbg.generated-->
+    <!--@Table keyboard_ai_companion_comment_like-->
+    <id column="id" jdbcType="BIGINT" property="id" />
+    <result column="comment_id" jdbcType="BIGINT" property="commentId" />
+    <result column="user_id" jdbcType="BIGINT" property="userId" />
+    <result column="status" jdbcType="SMALLINT" property="status" />
+    <result column="created_at" jdbcType="TIMESTAMP" property="createdAt" />
+    <result column="updated_at" jdbcType="TIMESTAMP" property="updatedAt" />
+  </resultMap>
+  <sql id="Base_Column_List">
+    <!--@mbg.generated-->
+    id, comment_id, user_id, "status", created_at, updated_at
+  </sql>
+</mapper>

src/main/resources/mapper/KeyboardAiCompanionCommentMapper.xml

@@ -0,0 +1,24 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<!DOCTYPE mapper PUBLIC "-//mybatis.org//DTD Mapper 3.0//EN" "http://mybatis.org/dtd/mybatis-3-mapper.dtd">
+<mapper namespace="com.yolo.keyborad.mapper.KeyboardAiCompanionCommentMapper">
+  <resultMap id="BaseResultMap" type="com.yolo.keyborad.model.entity.KeyboardAiCompanionComment">
+    <!--@mbg.generated-->
+    <!--@Table keyboard_ai_companion_comment-->
+    <id column="id" jdbcType="BIGINT" property="id" />
+    <result column="companion_id" jdbcType="BIGINT" property="companionId" />
+    <result column="user_id" jdbcType="BIGINT" property="userId" />
+    <result column="parent_id" jdbcType="BIGINT" property="parentId" />
+    <result column="root_id" jdbcType="BIGINT" property="rootId" />
+    <result column="content" jdbcType="VARCHAR" property="content" />
+    <result column="like" jdbcType="BIGINT" property="like" />
+    <result column="status" jdbcType="SMALLINT" property="status" />
+    <result column="like_count" jdbcType="INTEGER" property="likeCount" />
+    <result column="created_at" jdbcType="TIMESTAMP" property="createdAt" />
+    <result column="updated_at" jdbcType="TIMESTAMP" property="updatedAt" />
+  </resultMap>
+  <sql id="Base_Column_List">
+    <!--@mbg.generated-->
+    id, companion_id, user_id, parent_id, root_id, content, "like", "status", like_count, 
+    created_at, updated_at
+  </sql>
+</mapper>

src/main/resources/mapper/KeyboardAiCompanionLikeMapper.xml

@@ -0,0 +1,18 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<!DOCTYPE mapper PUBLIC "-//mybatis.org//DTD Mapper 3.0//EN" "http://mybatis.org/dtd/mybatis-3-mapper.dtd">
+<mapper namespace="com.yolo.keyborad.mapper.KeyboardAiCompanionLikeMapper">
+  <resultMap id="BaseResultMap" type="com.yolo.keyborad.model.entity.KeyboardAiCompanionLike">
+    <!--@mbg.generated-->
+    <!--@Table keyboard_ai_companion_like-->
+    <id column="id" jdbcType="BIGINT" property="id" />
+    <result column="companion_id" jdbcType="BIGINT" property="companionId" />
+    <result column="user_id" jdbcType="BIGINT" property="userId" />
+    <result column="status" jdbcType="SMALLINT" property="status" />
+    <result column="created_at" jdbcType="TIMESTAMP" property="createdAt" />
+    <result column="updated_at" jdbcType="TIMESTAMP" property="updatedAt" />
+  </resultMap>
+  <sql id="Base_Column_List">
+    <!--@mbg.generated-->
+    id, companion_id, user_id, "status", created_at, updated_at
+  </sql>
+</mapper>

src/main/resources/mapper/KeyboardAiCompanionMapper.xml

@@ -0,0 +1,31 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<!DOCTYPE mapper PUBLIC "-//mybatis.org//DTD Mapper 3.0//EN" "http://mybatis.org/dtd/mybatis-3-mapper.dtd">
+<mapper namespace="com.yolo.keyborad.mapper.KeyboardAiCompanionMapper">
+  <resultMap id="BaseResultMap" type="com.yolo.keyborad.model.entity.KeyboardAiCompanion">
+    <!--@mbg.generated-->
+    <!--@Table keyboard_ai_companion-->
+    <id column="id" jdbcType="BIGINT" property="id" />
+    <result column="name" jdbcType="VARCHAR" property="name" />
+    <result column="avatar_url" jdbcType="VARCHAR" property="avatarUrl" />
+    <result column="cover_image_url" jdbcType="VARCHAR" property="coverImageUrl" />
+    <result column="gender" jdbcType="VARCHAR" property="gender" />
+    <result column="age_range" jdbcType="VARCHAR" property="ageRange" />
+    <result column="short_desc" jdbcType="VARCHAR" property="shortDesc" />
+    <result column="intro_text" jdbcType="VARCHAR" property="introText" />
+    <result column="personality_tags" jdbcType="VARCHAR" property="personalityTags" />
+    <result column="speaking_style" jdbcType="VARCHAR" property="speakingStyle" />
+    <result column="system_prompt" jdbcType="VARCHAR" property="systemPrompt" />
+    <result column="status" jdbcType="SMALLINT" property="status" />
+    <result column="visibility" jdbcType="SMALLINT" property="visibility" />
+    <result column="sort_order" jdbcType="INTEGER" property="sortOrder" />
+    <result column="popularity_score" jdbcType="INTEGER" property="popularityScore" />
+    <result column="created_at" jdbcType="TIMESTAMP" property="createdAt" />
+    <result column="updated_at" jdbcType="TIMESTAMP" property="updatedAt" />
+  </resultMap>
+  <sql id="Base_Column_List">
+    <!--@mbg.generated-->
+    id, "name", avatar_url, cover_image_url, gender, age_range, short_desc, intro_text, 
+    personality_tags, speaking_style, system_prompt, "status", visibility, sort_order, 
+    popularity_score, created_at, updated_at
+  </sql>
+</mapper>

src/main/resources/mapper/KeyboardAiCompanionReportMapper.xml

@@ -0,0 +1,24 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<!DOCTYPE mapper PUBLIC "-//mybatis.org//DTD Mapper 3.0//EN" "http://mybatis.org/dtd/mybatis-3-mapper.dtd">
+<mapper namespace="com.yolo.keyborad.mapper.KeyboardAiCompanionReportMapper">
+  <resultMap id="BaseResultMap" type="com.yolo.keyborad.model.entity.KeyboardAiCompanionReport">
+    <!--@mbg.generated-->
+    <!--@Table keyboard_ai_companion_report-->
+    <id column="id" jdbcType="BIGINT" property="id" />
+    <result column="companion_id" jdbcType="BIGINT" property="companionId" />
+    <result column="user_id" jdbcType="BIGINT" property="userId" />
+    <result column="report_type" jdbcType="SMALLINT" property="reportType" />
+    <result column="report_desc" jdbcType="VARCHAR" property="reportDesc" />
+    <result column="chat_context" jdbcType="VARCHAR" property="chatContext" />
+    <result column="evidence_image_url" jdbcType="VARCHAR" property="evidenceImageUrl" />
+    <result column="status" jdbcType="SMALLINT" property="status" />
+    <result column="admin_remark" jdbcType="VARCHAR" property="adminRemark" />
+    <result column="created_at" jdbcType="TIMESTAMP" property="createdAt" />
+    <result column="updated_at" jdbcType="TIMESTAMP" property="updatedAt" />
+  </resultMap>
+  <sql id="Base_Column_List">
+    <!--@mbg.generated-->
+    id, companion_id, user_id, report_type, report_desc, chat_context, evidence_image_url, 
+    "status", admin_remark, created_at, updated_at
+  </sql>
+</mapper>