diff --git a/libs/langchain/langchain/agents/openai_assistant/base.py b/libs/langchain/langchain/agents/openai_assistant/base.py
index a384e30d2ce..a2f0ef74a5b 100644
--- a/libs/langchain/langchain/agents/openai_assistant/base.py
+++ b/libs/langchain/langchain/agents/openai_assistant/base.py
@@ -272,7 +272,6 @@ class OpenAIAssistantRunnable(RunnableSerializable[Dict, OutputType]):
             instructions=instructions,
             tools=[_get_assistants_tool(tool) for tool in tools],  # type: ignore
             model=model,
-            file_ids=kwargs.get("file_ids"),
         )
         return cls(assistant_id=assistant.id, client=client, **kwargs)
 
@@ -287,7 +286,6 @@ class OpenAIAssistantRunnable(RunnableSerializable[Dict, OutputType]):
                 thread_id: Existing thread to use.
                 run_id: Existing run to use. Should only be supplied when providing
                     the tool output for a required action after an initial invocation.
-                file_ids: File ids to include in new run. Used for retrieval.
                 message_metadata: Metadata to associate with new message.
                 thread_metadata: Metadata to associate with new thread. Only relevant
                     when new thread being created.
@@ -327,7 +325,6 @@ class OpenAIAssistantRunnable(RunnableSerializable[Dict, OutputType]):
                         {
                             "role": "user",
                             "content": input["content"],
-                            "file_ids": input.get("file_ids", []),
                             "metadata": input.get("message_metadata"),
                         }
                     ],
@@ -340,7 +337,6 @@ class OpenAIAssistantRunnable(RunnableSerializable[Dict, OutputType]):
                     input["thread_id"],
                     content=input["content"],
                     role="user",
-                    file_ids=input.get("file_ids", []),
                     metadata=input.get("message_metadata"),
                 )
                 run = self._create_run(input)
@@ -394,7 +390,6 @@ class OpenAIAssistantRunnable(RunnableSerializable[Dict, OutputType]):
             instructions=instructions,
             tools=openai_tools,  # type: ignore
             model=model,
-            file_ids=kwargs.get("file_ids"),
         )
         return cls(assistant_id=assistant.id, async_client=async_client, **kwargs)
 
@@ -409,7 +404,6 @@ class OpenAIAssistantRunnable(RunnableSerializable[Dict, OutputType]):
                 thread_id: Existing thread to use.
                 run_id: Existing run to use. Should only be supplied when providing
                     the tool output for a required action after an initial invocation.
-                file_ids: File ids to include in new run. Used for retrieval.
                 message_metadata: Metadata to associate with a new message.
                 thread_metadata: Metadata to associate with new thread. Only relevant
                     when a new thread is created.
@@ -439,7 +433,7 @@ class OpenAIAssistantRunnable(RunnableSerializable[Dict, OutputType]):
         try:
             # Being run within AgentExecutor and there are tool outputs to submit.
             if self.as_agent and input.get("intermediate_steps"):
-                tool_outputs = self._parse_intermediate_steps(
+                tool_outputs = await self._aparse_intermediate_steps(
                     input["intermediate_steps"]
                 )
                 run = await self.async_client.beta.threads.runs.submit_tool_outputs(
@@ -452,7 +446,6 @@ class OpenAIAssistantRunnable(RunnableSerializable[Dict, OutputType]):
                         {
                             "role": "user",
                             "content": input["content"],
-                            "file_ids": input.get("file_ids", []),
                             "metadata": input.get("message_metadata"),
                         }
                     ],
@@ -465,7 +458,6 @@ class OpenAIAssistantRunnable(RunnableSerializable[Dict, OutputType]):
                     input["thread_id"],
                     content=input["content"],
                     role="user",
-                    file_ids=input.get("file_ids", []),
                     metadata=input.get("message_metadata"),
                 )
                 run = await self._acreate_run(input)
@@ -493,9 +485,11 @@ class OpenAIAssistantRunnable(RunnableSerializable[Dict, OutputType]):
     ) -> dict:
         last_action, last_output = intermediate_steps[-1]
         run = self._wait_for_run(last_action.run_id, last_action.thread_id)
-        required_tool_call_ids = {
-            tc.id for tc in run.required_action.submit_tool_outputs.tool_calls
-        }
+        required_tool_call_ids = set()
+        if run.required_action:
+            required_tool_call_ids = {
+                tc.id for tc in run.required_action.submit_tool_outputs.tool_calls
+            }
         tool_outputs = [
             {"output": str(output), "tool_call_id": action.tool_call_id}
             for action, output in intermediate_steps
@@ -621,9 +615,11 @@ class OpenAIAssistantRunnable(RunnableSerializable[Dict, OutputType]):
     ) -> dict:
         last_action, last_output = intermediate_steps[-1]
         run = await self._wait_for_run(last_action.run_id, last_action.thread_id)
-        required_tool_call_ids = {
-            tc.id for tc in run.required_action.submit_tool_outputs.tool_calls
-        }
+        required_tool_call_ids = set()
+        if run.required_action:
+            required_tool_call_ids = {
+                tc.id for tc in run.required_action.submit_tool_outputs.tool_calls
+            }
         tool_outputs = [
             {"output": str(output), "tool_call_id": action.tool_call_id}
             for action, output in intermediate_steps