fixing deepresearch error

Author: thefirehacker

lib/AIAssistant/AIAssistant-Backend.js

@@ -1142,9 +1142,9 @@ When user asks for something, generate creative, compact p5.js code that creates
       // Console log the formatted prompt for debugging
       console.log('🦙 Ollama Query (Creative):', chatPrompt);
 
-      // Ollama API call for creative coding with timeout
-      const controller = new AbortController();
-      const timeoutId = setTimeout(() => controller.abort(), 30000); // 30 second timeout for generation
+          // Ollama API call for creative coding with timeout
+    const controller = new AbortController();
+    const timeoutId = setTimeout(() => controller.abort(), 180000); // 3 minute timeout for generation
 
       const response = await fetch(`${this.aiSession.baseURL}/api/generate`, {
         method: 'POST',
@@ -1160,7 +1160,7 @@ When user asks for something, generate creative, compact p5.js code that creates
           options: {
             temperature: 0.7,
             top_p: 0.9,
-            max_tokens: 1200,
+            num_predict: 1200,
             stop: ['<|im_end|>']
           }
         })
@@ -1214,7 +1214,7 @@ When user asks for something, generate creative, compact p5.js code that creates
     } catch (error) {
       console.error('Ollama generation error:', error);
       if (error.name === 'AbortError') {
-        throw new Error('Ollama generation timeout (>30s). The model may be too slow or overloaded. Try using a smaller model or check system resources.');
+        throw new Error('Ollama generation timeout (>3 minutes). The model may be too slow or overloaded. Try using a smaller model or check system resources.');
       } else {
         throw new Error(`Ollama generation failed: ${error.message}`);
       }
@@ -1400,9 +1400,9 @@ ${userMessage}<|im_end|>
 <|im_start|>assistant
 `;
 
-          // Add timeout for generation
-          const controller = new AbortController();
-          const timeoutId = setTimeout(() => controller.abort(), 60000); // 1 minute timeout
+              // Add timeout for generation
+    const controller = new AbortController();
+    const timeoutId = setTimeout(() => controller.abort(), 180000); // 3 minute timeout
 
           const response = await fetch(`${this.aiSession.baseURL}/api/generate`, {
             method: 'POST',
@@ -1417,7 +1417,7 @@ ${userMessage}<|im_end|>
               options: {
                 temperature: 0.7,
                 top_p: 0.9,
-                max_tokens: 2000,
+                num_predict: 2000,
                 stop: ['<|im_end|>']
               }
             })
@@ -1441,7 +1441,7 @@ ${userMessage}<|im_end|>
       } catch (error) {
         console.error('General content generation error:', error);
         if (error.name === 'AbortError') {
-          throw new Error('Content generation timeout (>1 minute). The model may be too slow or overloaded. Try using a smaller/faster model like llama3.2:3b or check system resources.');
+          throw new Error('Content generation timeout (>3 minutes). The model may be too slow or overloaded. Try using a smaller/faster model like llama3.2:3b or check system resources.');
         } else {
           throw error;
         }

lib/Pages/DeepResearch/deepresearch.js

@@ -673,14 +673,30 @@ class DeepResearchApp {
       // Generate research using AI
       const response = await this.aiAssistant.generateContent(prompt, 'research');
 
-      if (response && response.content) {
-        this.researchResults.research = response.content;
+      console.log('🔍 Generated response:', {
+        type: typeof response,
+        hasContent: !!response?.content,
+        responseLength: typeof response === 'string' ? response.length : 'N/A',
+        preview: typeof response === 'string' ? response.substring(0, 100) + '...' : response
+      });
+      
+      // Handle both string response and object response formats
+      let content = '';
+      if (typeof response === 'string' && response.trim()) {
+        content = response.trim();
+      } else if (response && response.content) {
+        content = response.content;
+      }
+      
+      if (content) {
+        this.researchResults.research = content;
         this.researchResults.sources = this.generateSources(hasDocuments);
         this.researchResults.notes = this.generateNotes(hasDocuments);
         this.researchResults.timestamp = new Date().toISOString();
         this.researchResults.hasDocuments = hasDocuments;
         this.researchResults.documentCount = hasDocuments ? this.vectorStore.collections.documents.size : 0;
 
+        console.log('✅ Research results stored, calling renderOutput()');
         this.renderOutput();
         this.saveToStorage();
 
@@ -691,7 +707,8 @@ class DeepResearchApp {
           this.updateStatus('✅ Research generated successfully!');
         }
       } else {
-        throw new Error('No content generated');
+        console.error('❌ No valid content found in response:', response);
+        throw new Error('No content generated - response was empty or invalid');
       }
     } catch (error) {
       console.error('Research generation failed:', error);