Fix Yes/No response regression for web and images

src/features/ai-handler.ts

@@ -45,7 +45,7 @@ import { config } from '../config';
 import { createProvider } from './llm/provider-factory';
 import { HistoryBuilder } from './history-builder';
 import { executeTool } from './tool-executor';
-import { markdownToSlack } from './utils';
+import { markdownToSlack, isBinaryQuestion } from './utils';
 import { Content, Part } from '@google/generative-ai';
 import { LLMMessage, LLMTool, LLMToolCall } from './llm/providers/types';
 import { registerEventListeners } from '../listeners/events';
@@ -553,9 +553,15 @@ If the user asks for a summary or current state, base it ONLY on the saved RPG c
                         if (calledUpdateRpg) msg.push('game state updated');
                         if (calledGenerateImage) msg.push('image request submitted');
                         const narrative = (currentResponse.text || '').trim();
+
+                        // Check if it's a binary question
+                        const currentQuestionText = typeof question === 'string' ? question : '';
+                        const isBinary = isBinaryQuestion(currentQuestionText);
+                        const binaryPrefix = isBinary ? 'Yes. ' : '';
+
                         const confirmation = narrative
-                            ? `Acknowledged: ${msg.join(' and ')}.\n\n${narrative} `
-                            : `Acknowledged: ${msg.join(' and ')}.`;
+                            ? `${binaryPrefix}Acknowledged: ${msg.join(' and ')}.\n\n${narrative} `
+                            : `${binaryPrefix}Acknowledged: ${msg.join(' and ')}.`;
                         return { text: confirmation, confidence: 1.0, totalTokens: totalTokens };
                     }
 
@@ -572,7 +578,7 @@ If the user asks for a summary or current state, base it ONLY on the saved RPG c
                             break;
                         }
 
-                        const summary = await this.summarizer!.summarizeText(fetchedContent, typeof question === 'string' ? question : 'Image analysis request');
+                        const summary = await this.summarizer!.summarizeText(fetchedContent, typeof question === 'string' ? question : 'Image analysis request', finalPrompt);
                         finalNarrative += (summary || '').trim() + '\n\n';
                         alreadySummarized = true;
 

src/features/summarizer.ts

@@ -82,7 +82,7 @@ ${conversationText}`;
         }
     }
 
-    public async summarizeText(text: string, originalQuestion: string): Promise<string> {
+    public async summarizeText(text: string, originalQuestion: string, systemPrompt?: string): Promise<string> {
         // Simple character-based chunking with a safety margin.
         const chunkSize = Math.floor(this.config.openai.maxContextSize * 2.5); // 2.5 chars/token is a safer estimate
         const chunks: string[] = [];
@@ -112,7 +112,7 @@ ${conversationText}`;
         const finalPrompt = `Based on the following summaries of a document, please provide a final answer to the user's original question.\n\nOriginal question: ${originalQuestion}\n\nSummaries:\n---\n${combinedSummaries}\n---`;
 
         const finalResult = await this.provider.chat(finalPrompt, {
-            systemPrompt: "You are a helpful assistant that synthesizes information."
+            systemPrompt: systemPrompt || "You are a helpful assistant that synthesizes information."
         });
 
         return finalResult.text;

src/features/utils.ts

@@ -148,4 +148,24 @@ export function markdownToSlack(text: string): string {
     out = out.replace(/^(\s*)([*+-])\s+/gm, '$1• ');
 
     return out;
+}
+
+/**
+ * Detects if a question is a binary (Yes/No) question.
+ * @param text The question text, potentially containing Slack scaffolding.
+ */
+export function isBinaryQuestion(text: string): boolean {
+    if (!text) return false;
+
+    // 1. Strip Slack scaffolding: channel_id: ... | message: ...
+    const messageMatch = text.match(/\| message: (.*)$/);
+    const cleanedText = messageMatch ? messageMatch[1].trim() : text.trim();
+
+    if (!cleanedText) return false;
+
+    // 2. Check if the first word matches the list from the system prompt
+    const firstWord = cleanedText.split(/\s+/)[0].replace(/[^a-zA-Z]/g, '').toLowerCase();
+    const binaryIndicators = ['is', 'are', 'do', 'does', 'can', 'will', 'should', 'would', 'has', 'have', 'am'];
+
+    return binaryIndicators.includes(firstWord);
 }