Upload bayesian_llm_assistant.py

bayesian_llm_assistant.py

@@ -64,6 +64,20 @@ When users ask you to draw, create, or visualize a DAG (Directed Acyclic Graph)
    ```
 3. The system will automatically render it as an image
 
+**IMPORTANT - Font and Label Instructions for DAG:**
+- NEVER use Chinese characters in node labels
+- Use ONLY English labels, or use English + romanized Chinese
+- DO NOT set fontname in the graph
+- Example of good labels: "d (overall effect)" or "delta[i] (type-specific)"
+- Example of bad labels: "整體效應" or any Chinese text
+
+**重要 - DAG 圖的字型和標籤指示：**
+- 絕對不要在節點標籤中使用中文字
+- 只使用英文標籤，或使用「英文 + 拼音」
+- 不要設定 fontname
+- 好的標籤範例："d (overall effect)" 或 "delta[i] (type-specific)"
+- 不好的標籤範例："整體效應" 或任何中文
+
 **Example DAG code for Bayesian hierarchical model:**
 ```graphviz
 digraph BayesianModel {
@@ -374,9 +388,10 @@ Please:
 1. Create a clear and informative DAG
 2. Use appropriate node shapes (ellipse for random variables, box for observed data, diamond for deterministic nodes)
 3. Use different colors to distinguish node types
-4. Add labels to explain what each node represents
-5. Wrap your DOT code in ```graphviz ``` tags
-6. Provide a brief explanation in Traditional Chinese about what the diagram shows
+4. **CRITICAL: Use ONLY English labels - NO Chinese characters in node labels**
+5. Add labels to explain what each node represents (in English)
+6. Wrap your DOT code in ```graphviz ``` tags
+7. Provide a brief explanation in Traditional Chinese about what the diagram shows
 
 根據以下描述，生成 Graphviz DOT 代碼的 DAG 圖：
 
@@ -386,9 +401,10 @@ Please:
 1. 創建清晰且有資訊性的 DAG
 2. 使用適當的節點形狀（橢圓代表隨機變數，矩形代表觀測資料，菱形代表確定性節點）
 3. 使用不同顏色區分節點類型
-4. 添加標籤說明每個節點代表什麼
-5. 將 DOT 代碼包在 ```graphviz ``` 標籤中
-6. 用繁體中文簡要說明圖表顯示什麼"""
+4. **重要：節點標籤必須使用英文，不能使用中文**
+5. 添加標籤說明每個節點代表什麼（用英文）
+6. 將 DOT 代碼包在 ```graphviz ``` 標籤中
+7. 用繁體中文簡要說明圖表顯示什麼
         
         return self.get_response(prompt, None)