chore: align infrastructure with server

app/server/api/nodes/[id]/execute.post.ts

@@ -8,6 +8,8 @@ export default defineEventHandler(async (event) => {
   const body = await readBody(event)
   const { canvasId, context } = body
 
+  console.log(`[Execute] nodeId=${nodeId} canvasId=${canvasId} userId=${user.id}`)
+
   if (!nodeId || !canvasId) {
     throw createError({ statusCode: 400, message: 'Node ID and Canvas ID are required' })
   }
@@ -17,6 +19,8 @@ export default defineEventHandler(async (event) => {
     where: { id: canvasId }
   })
 
+  console.log(`[Execute] Canvas found: ${!!canvas}, nodes count: ${(canvas?.nodes as any[])?.length}`)
+
   if (!canvas) {
     throw createError({ statusCode: 404, message: 'Canvas not found' })
   }
@@ -30,11 +34,14 @@ export default defineEventHandler(async (event) => {
   const nodes = (canvas.nodes as any[]) || []
   const nodeIdx = nodes.findIndex(n => n.id === nodeId)
   
+  console.log(`[Execute] Node found at index: ${nodeIdx}`)
+
   if (nodeIdx === -1) {
-    throw createError({ statusCode: 404, message: 'Node not found in canvas' })
+    throw createError({ statusCode: 404, message: `Node ${nodeId} not found in canvas ${canvasId}` })
   }
 
   const node = nodes[nodeIdx]
+  console.log(`[Execute] Node type: ${node.type}`)
 
   try {
     let result = ''
@@ -42,15 +49,17 @@ export default defineEventHandler(async (event) => {
     if (node.type === 'ai') {
       // Формируем промпт с учетом контекста от соседей
       let fullPrompt = node.prompt || node.text || 'Analyze the provided context.'
-      
+
       if (context && context.length > 0) {
         const contextText = context.map((c: any) => `[Node ${c.id}]: ${c.text}`).join('\n\n')
         fullPrompt = `CONTEXT INFORMATION:\n${contextText}\n\nUSER REQUEST/INSTRUCTION:\n${fullPrompt}`
       }
 
-      console.log(`[AI Execute] Generating response with context for node ${nodeId}...`)
-      result = await generateAIResponse(fullPrompt)
-      
+      // Модель можно задать прямо в узле: node.model = 'qwen_coder' | 'llama' | 'gemma' | 'laguna' | 'nemotron'
+      const model = node.model || undefined
+      console.log(`[AI Execute] model=${model || 'default'} nodeId=${nodeId}`)
+      result = await generateAIResponse(fullPrompt, 'You are a helpful assistant.', model)
+
       // Сохраняем результат в текст узла
       nodes[nodeIdx].text = result