fix(agent): 12 项 agent 对话链路全栈修复

深端到端验证发现 12 个问题，6 Phase 全栈修复：

Phase 5 — 快速 UX 修复:
- #9: SimpleSidebar 添加新对话按钮 (SquarePen + useChatStore)
- #5: 模型列表 JOIN provider_keys 过滤无 API Key 的模型
- #11: AgentOnboardingWizard 焦点领域增加 4 行业选项
  (医疗健康/教育培训/金融财务/法律合规)

Phase 1 — ButlerPanel 记忆修复:
- #2a: MemorySection URI 从 viking://agent/.../memories/ 修正为 agent://.../
- #2b: "立即分析对话"按钮现在触发 extractAndStoreMemories

Phase 2 — FTS5 中文分词:
- #4: FTS5 tokenizer 从 unicode61 切换到 trigram，原生支持 CJK
- 自动迁移：检测旧 unicode61 表并重建索引
- sanitize_fts_query 支持中文引号短语查询

Phase 3 — 跨会话身份持久化:
- #6-8: 重新启用 USER.md 注入系统提示词 (截断前 10 行)

Phase 4 — Agent 面板同步:
- #1,#10: listClones 从 4 字段扩展到完整映射
  (soul/userProfile 解析 nickname/emoji/userName/userRole)
- updateClone 通过 identity 系统同步 nickname→SOUL.md
  和 userName/userRole→USER.md

Phase 6 — Agent 创建容错:
- #12: createFromTemplate 增加 SaaS 不可用 fallback

验证: tsc --noEmit ✅ cargo check ✅

crates/zclaw-growth/src/storage/sqlite.rs

@@ -132,13 +132,16 @@ impl SqliteStorage {
         .map_err(|e| ZclawError::StorageError(format!("Failed to create memories table: {}", e)))?;
 
         // Create FTS5 virtual table for full-text search
+        // Use trigram tokenizer for CJK (Chinese/Japanese/Korean) support.
+        // unicode61 cannot tokenize CJK characters, causing memory search to fail.
+        // trigram indexes overlapping 3-character slices, works well for all languages.
         sqlx::query(
             r#"
             CREATE VIRTUAL TABLE IF NOT EXISTS memories_fts USING fts5(
                 uri,
                 content,
                 keywords,
-                tokenize='unicode61'
+                tokenize='trigram'
             )
             "#,
         )
@@ -189,6 +192,46 @@ impl SqliteStorage {
         .await
         .map_err(|e| ZclawError::StorageError(format!("Failed to create metadata table: {}", e)))?;
 
+        // Migration: Rebuild FTS5 table if using old unicode61 tokenizer (can't handle CJK)
+        // Check tokenizer by inspecting the existing FTS5 table definition
+        let needs_rebuild: bool = sqlx::query_scalar::<_, i64>(
+            "SELECT COUNT(*) FROM sqlite_master WHERE type='table' AND name='memories_fts' AND sql LIKE '%unicode61%'"
+        )
+        .fetch_one(&self.pool)
+        .await
+        .unwrap_or(0) > 0;
+
+        if needs_rebuild {
+            tracing::info!("[SqliteStorage] Rebuilding FTS5 table: unicode61 → trigram for CJK support");
+            // Drop old FTS5 table
+            let _ = sqlx::query("DROP TABLE IF EXISTS memories_fts")
+                .execute(&self.pool)
+                .await;
+            // Recreate with trigram tokenizer
+            sqlx::query(
+                r#"
+                CREATE VIRTUAL TABLE IF NOT EXISTS memories_fts USING fts5(
+                    uri,
+                    content,
+                    keywords,
+                    tokenize='trigram'
+                )
+                "#,
+            )
+            .execute(&self.pool)
+            .await
+            .map_err(|e| ZclawError::StorageError(format!("Failed to recreate FTS5 table: {}", e)))?;
+            // Reindex all existing memories into FTS5
+            let reindexed = sqlx::query(
+                "INSERT INTO memories_fts (uri, content, keywords) SELECT uri, content, keywords FROM memories"
+            )
+            .execute(&self.pool)
+            .await
+            .map(|r| r.rows_affected())
+            .unwrap_or(0);
+            tracing::info!("[SqliteStorage] FTS5 rebuild complete, reindexed {} entries", reindexed);
+        }
+
         tracing::info!("[SqliteStorage] Database schema initialized");
         Ok(())
     }
@@ -378,19 +421,37 @@ impl SqliteStorage {
     /// Strips these and keeps only alphanumeric + CJK tokens with length > 1,
     /// then joins them with `OR` for broad matching.
     fn sanitize_fts_query(query: &str) -> String {
-        let terms: Vec<String> = query
-            .to_lowercase()
-            .split(|c: char| !c.is_alphanumeric())
-            .filter(|s| !s.is_empty() && s.len() > 1)
-            .map(|s| s.to_string())
-            .collect();
+        // trigram tokenizer requires quoted phrases for substring matching
+        // and needs at least 3 characters per term to produce results.
+        let lower = query.to_lowercase();
 
-        if terms.is_empty() {
-            return String::new();
+        // Check if query contains CJK characters — trigram handles them natively
+        let has_cjk = lower.chars().any(|c| {
+            matches!(c, '\u{4E00}'..='\u{9FFF}' | '\u{3400}'..='\u{4DBF}' | '\u{F900}'..='\u{FAFF}')
+        });
+
+        if has_cjk {
+            // For CJK, use the full query as a quoted phrase for substring matching
+            // trigram will match any 3-char subsequence
+            if lower.len() >= 3 {
+                format!("\"{}\"", lower)
+            } else {
+                String::new()
+            }
+        } else {
+            // For non-CJK, split into terms and join with OR
+            let terms: Vec<String> = lower
+                .split(|c: char| !c.is_alphanumeric())
+                .filter(|s| !s.is_empty() && s.len() > 1)
+                .map(|s| format!("\"{}\"", s))
+                .collect();
+
+            if terms.is_empty() {
+                return String::new();
+            }
+
+            terms.join(" OR ")
         }
-
-        // Join with OR so any term can match (broad recall, then rerank by similarity)
-        terms.join(" OR ")
     }
 
     /// Fetch memories by scope with importance-based ordering.

crates/zclaw-saas/src/relay/handlers.rs

@@ -378,13 +378,14 @@ pub async fn list_available_models(
     State(state): State<AppState>,
     _ctx: Extension<AuthContext>,
 ) -> SaasResult<Json<Vec<serde_json::Value>>> {
-    // 单次 JOIN 查询替代 2 次全量加载
+    // 单次 JOIN 查询 + provider_keys 过滤：仅返回有活跃 API Key 的 provider 下的模型
     let rows: Vec<(String, String, String, i64, i64, bool, bool, bool, String)> = sqlx::query_as(
-        "SELECT m.model_id, m.provider_id, m.alias, m.context_window,
+        "SELECT DISTINCT m.model_id, m.provider_id, m.alias, m.context_window,
                 m.max_output_tokens, m.supports_streaming, m.supports_vision,
                 m.is_embedding, m.model_type
          FROM models m
          INNER JOIN providers p ON m.provider_id = p.id
+         INNER JOIN provider_keys pk ON pk.provider_id = p.id AND pk.is_active = true
          WHERE m.enabled = true AND p.enabled = true
          ORDER BY m.provider_id, m.model_id"
     )

desktop/src-tauri/src/intelligence/identity.rs

@@ -284,18 +284,23 @@ impl AgentIdentityManager {
         if !identity.instructions.is_empty() {
             sections.push(identity.instructions.clone());
         }
-        // NOTE: user_profile injection is intentionally disabled.
-        // The reflection engine may accumulate overly specific details from past
-        // conversations (e.g., "广东光华", "汕头玩具产业") into user_profile.
-        // These details then leak into every new conversation's system prompt,
-        // causing the model to think about old topics instead of the current query.
-        // Memory injection should only happen via MemoryMiddleware with relevance
-        // filtering, not unconditionally via user_profile.
-        // if !identity.user_profile.is_empty()
-        //     && identity.user_profile != default_user_profile()
-        // {
-        //     sections.push(format!("## 用户画像\n{}", identity.user_profile));
-        // }
+        // Inject user_profile into system prompt for cross-session identity continuity.
+        // Truncate to first 10 lines to avoid flooding the prompt with overly specific
+        // details accumulated by the reflection engine. Core identity (name, role)
+        // is typically in the first few lines.
+        if !identity.user_profile.is_empty()
+            && identity.user_profile != default_user_profile()
+        {
+            let truncated: String = identity
+                .user_profile
+                .lines()
+                .take(10)
+                .collect::<Vec<_>>()
+                .join("\n");
+            if !truncated.is_empty() {
+                sections.push(format!("## 用户画像\n{}", truncated));
+            }
+        }
         if let Some(ctx) = memory_context {
             sections.push(ctx.to_string());
         }

desktop/src/components/ButlerPanel/MemorySection.tsx

@@ -4,6 +4,7 @@ import { listVikingResources } from '../../lib/viking-client';
 
 interface MemorySectionProps {
   agentId: string;
+  refreshKey?: number;
 }
 
 interface MemoryEntry {
@@ -12,7 +13,7 @@ interface MemoryEntry {
   resourceType: string;
 }
 
-export function MemorySection({ agentId }: MemorySectionProps) {
+export function MemorySection({ agentId, refreshKey }: MemorySectionProps) {
   const [memories, setMemories] = useState<MemoryEntry[]>([]);
   const [loading, setLoading] = useState(false);
 
@@ -20,7 +21,8 @@ export function MemorySection({ agentId }: MemorySectionProps) {
     if (!agentId) return;
 
     setLoading(true);
-    listVikingResources(`viking://agent/${agentId}/memories/`)
+    // 查询 agent:// 下的所有记忆资源 (preferences/knowledge/experience/sessions)
+    listVikingResources(`agent://${agentId}/`)
       .then((entries) => {
         setMemories(entries as MemoryEntry[]);
       })
@@ -29,7 +31,7 @@ export function MemorySection({ agentId }: MemorySectionProps) {
         setMemories([]);
       })
       .finally(() => setLoading(false));
-  }, [agentId]);
+  }, [agentId, refreshKey]);
 
   if (loading) {
     return (

desktop/src/components/ButlerPanel/index.tsx

@@ -1,7 +1,8 @@
-import { useState, useEffect } from 'react';
+import { useState, useEffect, useCallback } from 'react';
 import { useButlerInsights } from '../../hooks/useButlerInsights';
 import { useChatStore } from '../../store/chatStore';
 import { useIndustryStore } from '../../store/industryStore';
+import { extractAndStoreMemories } from '../../lib/viking-client';
 import { InsightsSection } from './InsightsSection';
 import { ProposalsSection } from './ProposalsSection';
 import { MemorySection } from './MemorySection';
@@ -15,6 +16,7 @@ export function ButlerPanel({ agentId }: ButlerPanelProps) {
   const messageCount = useChatStore((s) => s.messages.length);
   const { accountIndustries, configs, lastSynced, isLoading: industryLoading, fetchIndustries } = useIndustryStore();
   const [analyzing, setAnalyzing] = useState(false);
+  const [memoryRefreshKey, setMemoryRefreshKey] = useState(0);
 
   // Auto-fetch industry configs once per session
   useEffect(() => {
@@ -26,15 +28,30 @@ export function ButlerPanel({ agentId }: ButlerPanelProps) {
   const hasData = (painPoints?.length ?? 0) > 0 || (proposals?.length ?? 0) > 0;
   const canAnalyze = messageCount >= 2;
 
-  const handleAnalyze = async () => {
-    if (!canAnalyze || analyzing) return;
+  const handleAnalyze = useCallback(async () => {
+    if (!canAnalyze || analyzing || !agentId) return;
     setAnalyzing(true);
     try {
+      // 1. Refresh pain points & proposals
       await refresh();
+
+      // 2. Extract and store memories from current conversation
+      const messages = useChatStore.getState().messages;
+      if (messages.length >= 2) {
+        const extractionMessages = messages.map((m) => ({
+          role: m.role as 'user' | 'assistant',
+          content: typeof m.content === 'string' ? m.content : '',
+        }));
+        await extractAndStoreMemories(extractionMessages, agentId);
+        // Trigger MemorySection to reload
+        setMemoryRefreshKey((k) => k + 1);
+      }
+    } catch {
+      // Extraction failure should not block UI — insights still refreshed
     } finally {
       setAnalyzing(false);
     }
-  };
+  }, [canAnalyze, analyzing, agentId, refresh]);
 
   if (!agentId) {
     return (
@@ -107,7 +124,7 @@ export function ButlerPanel({ agentId }: ButlerPanelProps) {
         <h3 className="text-sm font-semibold text-gray-900 dark:text-gray-100 mb-2">
           我记得关于您
         </h3>
-        <MemorySection agentId={agentId} />
+        <MemorySection agentId={agentId} refreshKey={memoryRefreshKey} />
       </div>
 
       {/* Industry section */}

desktop/src/components/ScenarioTags.tsx

@@ -10,6 +10,10 @@ import {
   Package,
   BarChart,
   Palette,
+  HeartPulse,
+  GraduationCap,
+  Landmark,
+  Scale,
   Server,
   Search,
   Megaphone,
@@ -33,6 +37,10 @@ const iconMap: Record<string, React.ComponentType<{ className?: string }>> = {
   Package,
   BarChart,
   Palette,
+  HeartPulse,
+  GraduationCap,
+  Landmark,
+  Scale,
   Server,
   Search,
   Megaphone,

desktop/src/components/SimpleSidebar.tsx

@@ -7,10 +7,11 @@
 
 import { useState } from 'react';
 import {
-  Settings, LayoutGrid,
+  Settings, LayoutGrid, SquarePen,
   Search, X,
 } from 'lucide-react';
 import { ConversationList } from './ConversationList';
+import { useChatStore } from '../store/chatStore';
 
 interface SimpleSidebarProps {
   onOpenSettings?: () => void;
@@ -19,6 +20,11 @@ interface SimpleSidebarProps {
 
 export function SimpleSidebar({ onOpenSettings, onToggleMode }: SimpleSidebarProps) {
   const [searchQuery, setSearchQuery] = useState('');
+  const newConversation = useChatStore((s) => s.newConversation);
+
+  const handleNewConversation = () => {
+    newConversation();
+  };
 
   return (
     <aside className="w-64 sidebar-bg border-r border-[#e8e6e1] dark:border-gray-800 flex flex-col h-full shrink-0">
@@ -27,11 +33,26 @@ export function SimpleSidebar({ onOpenSettings, onToggleMode }: SimpleSidebarPro
         <span className="text-lg font-semibold tracking-tight bg-gradient-to-r from-orange-500 to-amber-500 bg-clip-text text-transparent">
           ZCLAW
         </span>
+        <button
+          onClick={handleNewConversation}
+          className="ml-auto p-1.5 hover:bg-black/5 dark:hover:bg-white/5 rounded-md transition-colors text-gray-600 dark:text-gray-400"
+          title="新对话"
+        >
+          <SquarePen className="w-4 h-4" />
+        </button>
       </div>
 
       {/* 内容区域 */}
       <div className="flex-1 overflow-hidden">
         <div className="p-2 h-full overflow-y-auto">
+          {/* 新对话按钮 */}
+          <button
+            onClick={handleNewConversation}
+            className="w-full flex items-center gap-3 px-3 py-2 rounded-lg bg-black/5 dark:bg-white/5 text-sm font-medium text-gray-900 dark:text-gray-100 hover:bg-black/10 dark:hover:bg-white/10 transition-colors mb-2"
+          >
+            <SquarePen className="w-4 h-4" />
+            新对话
+          </button>
           {/* 搜索框 */}
           <div className="relative mb-2">
             <Search className="absolute left-3 top-1/2 -translate-y-1/2 text-gray-400 w-4 h-4" />

desktop/src/lib/kernel-agent.ts

@@ -56,16 +56,63 @@ export function installAgentMethods(ClientClass: { prototype: KernelClient }): v
 
   /**
    * List clones — maps to listAgents() with field adaptation
+   * Maps all available AgentInfo fields to Clone interface properties
    */
   proto.listClones = async function (this: KernelClient): Promise<{ clones: any[] }> {
     const agents = await this.listAgents();
-    const clones = agents.map((agent) => ({
-      id: agent.id,
-      name: agent.name,
-      role: agent.description,
-      model: agent.model,
-      createdAt: new Date().toISOString(),
-    }));
+    const clones = agents.map((agent) => {
+      // Parse personality/emoji/nickname from SOUL.md content
+      const soulLines = (agent.soul || '').split('\n');
+      let emoji: string | undefined;
+      let personality: string | undefined;
+      let nickname: string | undefined;
+      for (const line of soulLines) {
+        if (!emoji || !nickname) {
+          // Parse header line: "> 🦞 Nickname" or "> 🦞"
+          const headerMatch = line.match(/^>\s*(\p{Emoji_Presentation}|\p{Extended_Pictographic})?\s*(.+)$/u);
+          if (headerMatch) {
+            if (headerMatch[1] && !emoji) emoji = headerMatch[1];
+            if (headerMatch[2]?.trim() && !nickname) nickname = headerMatch[2].trim();
+          }
+          // Also check emoji without nickname
+          if (!emoji) {
+            const emojiOnly = line.match(/^>\s*(\p{Emoji_Presentation}|\p{Extended_Pictographic})\s*$/u);
+            if (emojiOnly) emoji = emojiOnly[1];
+          }
+        }
+        if (!personality) {
+          const match = line.match(/##\s*(?:性格|核心特质|沟通风格)/);
+          if (match) personality = line.trim();
+        }
+      }
+
+      // Parse userName/userRole from userProfile
+      let userName: string | undefined;
+      let userRole: string | undefined;
+      if (agent.userProfile && typeof agent.userProfile === 'object') {
+        const profile = agent.userProfile as Record<string, unknown>;
+        userName = profile.userName as string | undefined || profile.name as string | undefined;
+        userRole = profile.userRole as string | undefined || profile.role as string | undefined;
+      }
+
+      return {
+        id: agent.id,
+        name: agent.name,
+        role: agent.description,
+        nickname,
+        model: agent.model,
+        soul: agent.soul,
+        systemPrompt: agent.systemPrompt,
+        temperature: agent.temperature,
+        maxTokens: agent.maxTokens,
+        emoji,
+        personality,
+        userName,
+        userRole,
+        createdAt: agent.createdAt || new Date().toISOString(),
+        updatedAt: agent.updatedAt,
+      };
+    });
     return { clones };
   };
 
@@ -119,7 +166,7 @@ export function installAgentMethods(ClientClass: { prototype: KernelClient }): v
   };
 
   /**
-   * Update clone — maps to kernel agent_update
+   * Update clone — maps to kernel agent_update + identity system for nickname/userName
    */
   proto.updateClone = async function (this: KernelClient, id: string, updates: Record<string, unknown>): Promise<{ clone: unknown }> {
     await invoke('agent_update', {
@@ -135,15 +182,90 @@ export function installAgentMethods(ClientClass: { prototype: KernelClient }): v
       },
     });
 
+    // Sync nickname/emoji to SOUL.md via identity system
+    const nickname = updates.nickname as string | undefined;
+    const emoji = updates.emoji as string | undefined;
+    if (nickname || emoji) {
+      try {
+        const currentSoul = await invoke<string | null>('identity_get_file', { agentId: id, file: 'soul' });
+        const soul = currentSoul || '';
+        // Inject or update nickname line in SOUL.md header
+        const lines = soul.split('\n');
+        const headerIdx = lines.findIndex((l: string) => l.startsWith('> '));
+        if (headerIdx >= 0) {
+          // Update existing header line
+          let header = lines[headerIdx];
+          if (emoji && !header.match(/\p{Emoji_Presentation}|\p{Extended_Pictographic}/u)) {
+            header = `> ${emoji} ${header.slice(2)}`;
+          }
+          lines[headerIdx] = header;
+        } else if (emoji || nickname) {
+          // Add header line after title
+          const label = nickname || '';
+          const icon = emoji || '';
+          const titleIdx = lines.findIndex((l: string) => l.startsWith('# '));
+          if (titleIdx >= 0) {
+            lines.splice(titleIdx + 1, 0, `> ${icon} ${label}`.trim());
+          }
+        }
+        await invoke('identity_update_file', { agentId: id, file: 'soul', content: lines.join('\n') });
+      } catch {
+        // Identity system update is non-critical
+      }
+    }
+
+    // Sync userName/userRole to USER.md via identity system
+    const userName = updates.userName as string | undefined;
+    const userRole = updates.userRole as string | undefined;
+    if (userName || userRole) {
+      try {
+        const currentProfile = await invoke<string | null>('identity_get_file', { agentId: id, file: 'user_profile' });
+        const profile = currentProfile || '# 用户档案\n';
+        const profileLines = profile.split('\n');
+
+        // Update or add userName
+        if (userName) {
+          const nameIdx = profileLines.findIndex((l: string) => l.includes('姓名') || l.includes('userName'));
+          if (nameIdx >= 0) {
+            profileLines[nameIdx] = `- 姓名：${userName}`;
+          } else {
+            const sectionIdx = profileLines.findIndex((l: string) => l.startsWith('## 基本信息'));
+            if (sectionIdx >= 0) {
+              profileLines.splice(sectionIdx + 1, 0, '', `- 姓名：${userName}`);
+            } else {
+              profileLines.push('', '## 基本信息', '', `- 姓名：${userName}`);
+            }
+          }
+        }
+        // Update or add userRole
+        if (userRole) {
+          const roleIdx = profileLines.findIndex((l: string) => l.includes('角色') || l.includes('userRole'));
+          if (roleIdx >= 0) {
+            profileLines[roleIdx] = `- 角色：${userRole}`;
+          } else {
+            profileLines.push(`- 角色：${userRole}`);
+          }
+        }
+
+        await invoke('identity_update_file', { agentId: id, file: 'user_profile', content: profileLines.join('\n') });
+      } catch {
+        // Identity system update is non-critical
+      }
+    }
+
     // Return updated clone representation
     const clone = {
       id,
       name: updates.name,
       role: updates.description || updates.role,
+      nickname: updates.nickname,
       model: updates.model,
+      emoji: updates.emoji,
       personality: updates.personality,
       communicationStyle: updates.communicationStyle,
       systemPrompt: updates.systemPrompt,
+      userName: updates.userName,
+      userRole: updates.userRole,
     };
     return { clone };
   };

desktop/src/lib/personality-presets.ts

@@ -97,6 +97,27 @@ export const SCENARIO_TAGS: ScenarioTag[] = [
     icon: 'Palette',
     keywords: ['设计', 'UI', 'UX', '视觉', '原型', '界面'],
   },
+  {
+    id: 'healthcare',
+    label: '医疗健康',
+    description: '医院管理、患者服务、医疗数据分析',
+    icon: 'HeartPulse',
+    keywords: ['医疗', '医院', '健康', '患者', '临床', '护理', '行政'],
+  },
+  {
+    id: 'education',
+    label: '教育培训',
+    description: '课程设计、教学辅助、学习规划',
+    icon: 'GraduationCap',
+    keywords: ['教育', '教学', '课程', '培训', '学习', '考试'],
+  },
+  {
+    id: 'finance',
+    label: '金融财务',
+    description: '财务分析、风险管理、投资研究',
+    icon: 'Landmark',
+    keywords: ['金融', '财务', '投资', '风控', '审计', '报表'],
+  },
   {
     id: 'devops',
     label: '运维部署',
@@ -118,6 +139,13 @@ export const SCENARIO_TAGS: ScenarioTag[] = [
     icon: 'Megaphone',
     keywords: ['营销', '推广', '运营', '社媒', '增长', '转化'],
   },
+  {
+    id: 'legal',
+    label: '法律合规',
+    description: '合同审查、法规研究、合规管理',
+    icon: 'Scale',
+    keywords: ['法律', '合同', '合规', '法规', '审查', '风险'],
+  },
   {
     id: 'other',
     label: '其他',

desktop/src/store/agentStore.ts

@@ -204,7 +204,28 @@ export const useAgentStore = create<AgentStore>((set, get) => ({
     set({ isLoading: true, error: null });
     try {
       // Step 1: Call backend to get server-processed config (tools merge)
-      const config = await saasClient.createAgentFromTemplate(template.id);
+      // Fallback to template data directly if SaaS is unreachable
+      let config;
+      try {
+        config = await saasClient.createAgentFromTemplate(template.id);
+      } catch (saasErr) {
+        log.warn('[AgentStore] SaaS createAgentFromTemplate failed, using template directly:', saasErr);
+        // Fallback: build config from template data without server-side tools merge
+        config = {
+          name: template.name,
+          model: template.model,
+          system_prompt: template.system_prompt,
+          tools: template.tools || [],
+          soul_content: template.soul_content,
+          welcome_message: template.welcome_message,
+          quick_commands: template.quick_commands,
+          temperature: template.temperature,
+          max_tokens: template.max_tokens,
+          personality: template.personality,
+          communication_style: template.communication_style,
+          emoji: template.emoji,
+        };
+      }
 
       // Resolve model: template model > first available SaaS model > 'default'
       const resolvedModel = config.model