Update app.py

app.py

@@ -1291,11 +1291,33 @@ def autogen_multi_document_analysis(query: str, docs: list, file_names: list) ->
             for name, doc in zip(file_names, docs)
         )
 
+        # 配置 LLM
+        config_list = [{
+            "model": "gpt-4",
+            "api_key": openai_api_key
+        }]
+
+        # 基礎配置
+        llm_config = {
+            "config_list": config_list,
+            "temperature": 0,
+            "request_timeout": 120,
+            "seed": 42
+        }
+
+        # 代碼執行配置
+        code_execution_config = {
+            "use_docker": False,  # 禁用 Docker
+            "last_n_messages": 3,
+            "timeout": 60
+        }
+
         # 定義代理人
         user_proxy = UserProxyAgent(
             name="User",
             system_message="A user seeking information from multiple documents.",
-            human_input_mode="NEVER"
+            human_input_mode="NEVER",
+            code_execution_config=code_execution_config  # 使用代碼執行配置
         )
 
         # 定義專家代理人們
@@ -1308,7 +1330,7 @@ def autogen_multi_document_analysis(query: str, docs: list, file_names: list) ->
                 3. Identifying key differences and similarities
                 4. Analyzing project connections
                 Always provide evidence from the documents.""",
-                llm_config={"config_list": [{"model": "gpt-4", "api_key": openai_api_key}]}
+                llm_config=llm_config
             ),
             AssistantAgent(
                 name="QAExpert",
@@ -1317,7 +1339,7 @@ def autogen_multi_document_analysis(query: str, docs: list, file_names: list) ->
                 2. Finding relevant information
                 3. Cross-referencing content
                 Always cite specific parts of the documents.""",
-                llm_config={"config_list": [{"model": "gpt-4", "api_key": openai_api_key}]}
+                llm_config=llm_config
             ),
             AssistantAgent(
                 name="Summarizer",
@@ -1326,7 +1348,7 @@ def autogen_multi_document_analysis(query: str, docs: list, file_names: list) ->
                 2. Identifying main points
                 3. Highlighting key findings
                 Focus on clarity and completeness.""",
-                llm_config={"config_list": [{"model": "gpt-4", "api_key": openai_api_key}]}
+                llm_config=llm_config
             )
         ]
 
@@ -1337,7 +1359,10 @@ def autogen_multi_document_analysis(query: str, docs: list, file_names: list) ->
             max_round=5
         )
 
-        manager = GroupChatManager(groupchat=groupchat)
+        manager = GroupChatManager(
+            groupchat=groupchat,
+            llm_config=llm_config
+        )
 
         # 準備任務提示
         task_prompt = f"""Analyze these documents and answer the query: