diff --git a/scrapegraphai/nodes/generate_answer_node.py b/scrapegraphai/nodes/generate_answer_node.py
index 1fa38995..d1a42965 100644
--- a/scrapegraphai/nodes/generate_answer_node.py
+++ b/scrapegraphai/nodes/generate_answer_node.py
@@ -52,9 +52,6 @@ class GenerateAnswerNode(BaseNode):
         super().__init__(node_name, "node", input, output, 2, node_config)
         self.llm_model = node_config["llm_model"]
 
-        if hasattr(self.llm_model, 'request_timeout'):
-            self.llm_model.request_timeout = node_config.get("timeout", 30)
-
         if isinstance(node_config["llm_model"], ChatOllama):
             self.llm_model.format = "json"
 
@@ -63,7 +60,22 @@ class GenerateAnswerNode(BaseNode):
         self.script_creator = node_config.get("script_creator", False)
         self.is_md_scraper = node_config.get("is_md_scraper", False)
         self.additional_info = node_config.get("additional_info")
-        self.timeout = node_config.get("timeout", 30)
+        self.timeout = node_config.get("timeout", 120)
+
+    def invoke_with_timeout(self, chain, inputs, timeout):
+        """Helper method to invoke chain with timeout"""
+        try:
+            start_time = time.time()
+            response = chain.invoke(inputs)
+            if time.time() - start_time > timeout:
+                raise Timeout(f"Response took longer than {timeout} seconds")
+            return response
+        except Timeout as e:
+            self.logger.error(f"Timeout error: {str(e)}")
+            raise
+        except Exception as e:
+            self.logger.error(f"Error during chain execution: {str(e)}")
+            raise
 
     def execute(self, state: dict) -> dict:
         """
@@ -119,21 +131,6 @@ class GenerateAnswerNode(BaseNode):
             template_chunks_prompt = self.additional_info + template_chunks_prompt
             template_merge_prompt = self.additional_info + template_merge_prompt
 
-        def invoke_with_timeout(chain, inputs, timeout):
-            try:
-                with get_openai_callback() as cb:
-                    start_time = time.time()
-                    response = chain.invoke(inputs)
-                    if time.time() - start_time > timeout:
-                        raise Timeout(f"Response took longer than {timeout} seconds")
-                    return response
-            except Timeout as e:
-                self.logger.error(f"Timeout error: {str(e)}")
-                raise
-            except Exception as e:
-                self.logger.error(f"Error during chain execution: {str(e)}")
-                raise
-
         if len(doc) == 1:
             prompt = PromptTemplate(
                 template=template_no_chunks_prompt,
@@ -141,17 +138,15 @@ class GenerateAnswerNode(BaseNode):
                 partial_variables={"context": doc, "format_instructions": format_instructions}
             )
             chain = prompt | self.llm_model
+            if output_parser:
+                chain = chain | output_parser
 
             try:
-                raw_response = invoke_with_timeout(chain, {"question": user_prompt}, self.timeout)
+                answer = self.invoke_with_timeout(chain, {"question": user_prompt}, self.timeout)
             except Timeout:
                 state.update({self.output[0]: {"error": "Response timeout exceeded"}})
                 return state
 
-            if output_parser:
-                chain = chain | output_parser
-
-            answer = chain.invoke({"question": user_prompt})
             state.update({self.output[0]: answer})
             return state
 
@@ -171,9 +166,9 @@ class GenerateAnswerNode(BaseNode):
 
         async_runner = RunnableParallel(**chains_dict)
         try:
-            batch_results = invoke_with_timeout(
-                async_runner, 
-                {"question": user_prompt}, 
+            batch_results = self.invoke_with_timeout(
+                async_runner,
+                {"question": user_prompt},
                 self.timeout
             )
         except Timeout:
@@ -190,7 +185,7 @@ class GenerateAnswerNode(BaseNode):
         if output_parser:
             merge_chain = merge_chain | output_parser
         try:
-            answer = invoke_with_timeout(
+            answer = self.invoke_with_timeout(
                 merge_chain,
                 {"context": batch_results, "question": user_prompt},
                 self.timeout