refactor: clean up top toolbar and integrate direct Gemini API support

app/components/FlowEditor.vue

@@ -26,18 +26,6 @@
         
         <template v-if="userRole !== 'viewer'">
           <button @click="addNodeAtCenter" class="px-2 py-1 bg-blue-600 hover:bg-blue-500 text-white rounded text-xs">+ Узел</button>
-          <button @click="createSmartNodeManual" class="px-2 py-1 bg-indigo-600 hover:bg-indigo-500 text-white rounded text-xs flex items-center gap-1 transition" title="Создать цель S.M.A.R.T">
-            <span>🎯 +SMART</span>
-          </button>
-          <button @click="createGrowChainManual" class="px-2 py-1 bg-teal-650 hover:bg-teal-600 text-white rounded text-xs flex items-center gap-1 transition" title="Создать цепочку G.R.O.W.">
-            <span>🌱 +GROW</span>
-          </button>
-          <button @click="createDiltsChainManual" class="px-2 py-1 bg-violet-600 hover:bg-violet-500 text-white rounded text-xs flex items-center gap-1 transition" title="Создать логические уровни Дилтса">
-            <span>📐 +Дилтс</span>
-          </button>
-          <button @click="createEisenhowerMatrixManual" class="px-2 py-1 bg-amber-600 hover:bg-amber-500 text-white rounded text-xs flex items-center gap-1 transition" title="Создать матрицу Эйзенхауэра">
-            <span>📊 +Эйзенхауэр</span>
-          </button>
           <button @click="createGoalsTemplateManual" class="px-2 py-1 bg-emerald-600 hover:bg-emerald-500 text-white rounded text-xs flex items-center gap-1 transition" title="Создать карту целей на год (Практическая работа)">
             <span>📋 +Цели на Год</span>
           </button>

app/server/utils/ai.ts

@@ -1,10 +1,5 @@
 /**
- * XFlow AI Utility — OpenRouter Integration (Stable Models)
- *
- * Поддерживаемые модели (наиболее стабильные и без жестких rate-limit):
- *
- *  • poolside/laguna-m.1:free           — быстрые инженерные задачи, Claude-based (default)
- *  • nvidia/nemotron-3-super-120b-a12b:free — MoE 120B, тяжёлая аналитика, сложные рассуждения
+ * XFlow AI Utility — OpenRouter & Google Gemini Integration
  */
 
 const OPENROUTER_BASE_URL = 'https://openrouter.ai/api/v1/chat/completions'
@@ -15,41 +10,90 @@ export const AI_MODELS = {
   laguna: 'poolside/laguna-m.1:free',
   /** MoE 120B тяжёлая аналитика, архитектурный анализ, сложные рассуждения */
   nemotron: 'nvidia/nemotron-3-super-120b-a12b:free',
+  /** Прямой вызов Gemini Flash */
+  geminiFlash: 'gemini-1.5-flash',
+  /** Прямой вызов Gemini Pro */
+  geminiPro: 'gemini-1.5-pro'
 } as const
 
 export type AiModelKey = keyof typeof AI_MODELS
 
 /** Дефолтная модель, если не указана */
-const DEFAULT_MODEL: AiModelKey = 'laguna'
+const DEFAULT_MODEL: AiModelKey = 'geminiFlash'
 
 export const generateAIResponse = async (
   prompt: string,
   systemPrompt = 'You are a helpful assistant.',
   modelKey?: AiModelKey | string,
 ): Promise<string> => {
-  const apiKey =
-    process.env.NUXT_OPEN_ROUTER_API_KEY ||
-    process.env.OPEN_ROUTER_API_KEY
-
-  if (!apiKey) {
-    throw new Error('OPEN_ROUTER_API_KEY is not configured')
-  }
+  // Получаем ключи из окружения
+  const openRouterKey = process.env.NUXT_OPEN_ROUTER_API_KEY || process.env.OPEN_ROUTER_API_KEY
+  const geminiKey = process.env.GEMINI_API_KEY || process.env.NUXT_GEMINI_API_KEY || process.env.GOOGLE_API_KEY
 
   // Резолвим модель: принимаем как ключ ('laguna') так и полное имя
   const resolvedModel: string =
     modelKey && modelKey in AI_MODELS
       ? AI_MODELS[modelKey as AiModelKey]
-      : modelKey && modelKey.includes('/')
+      : modelKey && (modelKey.includes('/') || modelKey.startsWith('gemini'))
         ? modelKey
         : AI_MODELS[DEFAULT_MODEL]
 
-  console.log(`[AI] Using model: ${resolvedModel}`)
+  // Определяем, использовать ли Gemini напрямую
+  const useGeminiDirect = resolvedModel.startsWith('gemini') || (!openRouterKey && geminiKey)
+
+  if (useGeminiDirect) {
+    if (!geminiKey) {
+      throw new Error('Gemini API key (GEMINI_API_KEY or GOOGLE_API_KEY) is not configured')
+    }
+    const geminiModel = resolvedModel.startsWith('gemini') ? resolvedModel : 'gemini-1.5-flash'
+    console.log(`[AI] Direct Google Gemini call: ${geminiModel}`)
+
+    try {
+      const url = `https://generativelanguage.googleapis.com/v1beta/models/${geminiModel}:generateContent?key=${geminiKey}`
+      const response = await $fetch<any>(url, {
+        method: 'POST',
+        headers: {
+          'Content-Type': 'application/json'
+        },
+        body: {
+          contents: [
+            {
+              role: 'user',
+              parts: [{ text: prompt }]
+            }
+          ],
+          systemInstruction: {
+            parts: [{ text: systemPrompt }]
+          },
+          generationConfig: {
+            temperature: 0.3
+          }
+        }
+      })
+
+      const content = response?.candidates?.[0]?.content?.parts?.[0]?.text
+      if (!content) {
+        throw new Error('Empty response from Gemini API')
+      }
+      return content
+    } catch (error: any) {
+      console.error(`[AI] Gemini direct error:`, error?.data || error?.message)
+      throw new Error(`Gemini direct generation failed: ${error?.message || error?.toString()}`)
+    }
+  }
+
+  // Иначе используем OpenRouter
+  if (!openRouterKey) {
+    throw new Error('Neither OPEN_ROUTER_API_KEY nor GEMINI_API_KEY is configured')
+  }
+
+  console.log(`[AI] OpenRouter call: ${resolvedModel}`)
 
   try {
     const response = await $fetch<any>(OPENROUTER_BASE_URL, {
       method: 'POST',
       headers: {
-        'Authorization': `Bearer ${apiKey}`,
+        'Authorization': `Bearer ${openRouterKey}`,
         'Content-Type': 'application/json',
         'HTTP-Referer': 'https://a-crm.controlsystem.kz',
         'X-Title': 'XFlow AI Node',
@@ -66,12 +110,12 @@ export const generateAIResponse = async (
 
     const content = response?.choices?.[0]?.message?.content
     if (!content) {
-      throw new Error('Empty response from AI model')
+      throw new Error('Empty response from OpenRouter model')
     }
     return content
   } catch (error: any) {
-    console.error(`[AI] Error with model ${resolvedModel}:`, error?.data || error?.message)
-    throw new Error(`AI generation failed (${resolvedModel}): ${error?.message}`)
+    console.error(`[AI] OpenRouter error with model ${resolvedModel}:`, error?.data || error?.message)
+    throw new Error(`OpenRouter generation failed (${resolvedModel}): ${error?.message}`)
   }
 }
 
@@ -84,6 +128,8 @@ export const getAvailableModels = () =>
   }))
 
 const modelLabels: Record<AiModelKey, string> = {
-  laguna: '🏊 Laguna M.1 — стабильная инженерная (Claude)',
-  nemotron: '🔬 Nemotron Super 120B — тяжёлая аналитика (NVIDIA)',
+  laguna: '🏊 Laguna M.1 — стабильная инженерная (Claude via OpenRouter)',
+  nemotron: '🔬 Nemotron Super 120B — тяжёлая аналитика (NVIDIA via OpenRouter)',
+  geminiFlash: '⚡ Gemini 1.5 Flash — быстрая и стабильная (Google Direct)',
+  geminiPro: '🧠 Gemini 1.5 Pro — продвинутая аналитика (Google Direct)'
 }