diff --git a/libs/langchain/langchain/schema/runnable.py b/libs/langchain/langchain/schema/runnable.py
index 0ffb41c7cf6..19a3be143fb 100644
--- a/libs/langchain/langchain/schema/runnable.py
+++ b/libs/langchain/langchain/schema/runnable.py
@@ -131,6 +131,12 @@ class Runnable(Generic[Input, Output], ABC):
     ) -> AsyncIterator[Output]:
         yield await self.ainvoke(input, config)
 
+    def bind(self, **kwargs: Any) -> Runnable[Input, Output]:
+        """
+        Bind arguments to a Runnable, returning a new Runnable.
+        """
+        return RunnableBinding(bound=self, kwargs=kwargs)
+
     def _get_config_list(
         self, config: Optional[Union[RunnableConfig, List[RunnableConfig]]], length: int
     ) -> List[RunnableConfig]:
@@ -692,6 +698,60 @@ class RunnablePassthrough(Serializable, Runnable[Input, Input]):
         return self._call_with_config(lambda x: x, input, config)
 
 
+class RunnableBinding(Serializable, Runnable[Input, Output]):
+    bound: Runnable[Input, Output]
+
+    kwargs: Mapping[str, Any]
+
+    class Config:
+        arbitrary_types_allowed = True
+
+    @property
+    def lc_serializable(self) -> bool:
+        return True
+
+    def invoke(self, input: Input, config: Optional[RunnableConfig] = None) -> Output:
+        return self.bound.invoke(input, config, **self.kwargs)
+
+    async def ainvoke(
+        self, input: Input, config: Optional[RunnableConfig] = None
+    ) -> Output:
+        return await self.bound.ainvoke(input, config, **self.kwargs)
+
+    def batch(
+        self,
+        inputs: List[Input],
+        config: Optional[Union[RunnableConfig, List[RunnableConfig]]] = None,
+        *,
+        max_concurrency: Optional[int] = None,
+    ) -> List[Output]:
+        return self.bound.batch(
+            inputs, config, max_concurrency=max_concurrency, **self.kwargs
+        )
+
+    async def abatch(
+        self,
+        inputs: List[Input],
+        config: Optional[Union[RunnableConfig, List[RunnableConfig]]] = None,
+        *,
+        max_concurrency: Optional[int] = None,
+    ) -> List[Output]:
+        return await self.bound.abatch(
+            inputs, config, max_concurrency=max_concurrency, **self.kwargs
+        )
+
+    def stream(
+        self, input: Input, config: Optional[RunnableConfig] = None
+    ) -> Iterator[Output]:
+        yield from self.bound.stream(input, config, **self.kwargs)
+
+    async def astream(
+        self, input: Input, config: Optional[RunnableConfig] = None
+    ) -> AsyncIterator[Output]:
+        async for item in self.bound.astream(input, config, **self.kwargs):
+            yield item
+
+
 def _patch_config(
     config: RunnableConfig, callback_manager: BaseCallbackManager
 ) -> RunnableConfig:
diff --git a/libs/langchain/tests/unit_tests/schema/__snapshots__/test_runnable.ambr b/libs/langchain/tests/unit_tests/schema/__snapshots__/test_runnable.ambr
index 271b79c1065..ec985ee9d6e 100644
--- a/libs/langchain/tests/unit_tests/schema/__snapshots__/test_runnable.ambr
+++ b/libs/langchain/tests/unit_tests/schema/__snapshots__/test_runnable.ambr
@@ -773,13 +773,30 @@
           "steps": {
             "chat": {
               "lc": 1,
-              "type": "not_implemented",
+              "type": "constructor",
               "id": [
                 "langchain",
-                "chat_models",
-                "fake",
-                "FakeListChatModel"
-              ]
+                "schema",
+                "runnable",
+                "RunnableBinding"
+              ],
+              "kwargs": {
+                "bound": {
+                  "lc": 1,
+                  "type": "not_implemented",
+                  "id": [
+                    "langchain",
+                    "chat_models",
+                    "fake",
+                    "FakeListChatModel"
+                  ]
+                },
+                "kwargs": {
+                  "stop": [
+                    "Thought:"
+                  ]
+                }
+              }
             },
             "llm": {
               "lc": 1,
@@ -810,6 +827,6 @@
 # ---
 # name: test_seq_prompt_map.1
   list([
-    Run(id=UUID('00000000-0000-4000-8000-000000000000'), name='RunnableSequence', start_time=FakeDatetime(2023, 1, 1, 0, 0), run_type=<RunTypeEnum.chain: 'chain'>, end_time=FakeDatetime(2023, 1, 1, 0, 0), extra={}, error=None, serialized={'lc': 1, 'type': 'constructor', 'id': ['langchain', 'schema', 'runnable', 'RunnableSequence'], 'kwargs': {'first': {'lc': 1, 'type': 'constructor', 'id': ['langchain', 'prompts', 'chat', 'ChatPromptTemplate'], 'kwargs': {'messages': [{'lc': 1, 'type': 'constructor', 'id': ['langchain', 'prompts', 'chat', 'SystemMessagePromptTemplate'], 'kwargs': {'prompt': {'lc': 1, 'type': 'constructor', 'id': ['langchain', 'prompts', 'prompt', 'PromptTemplate'], 'kwargs': {'input_variables': [], 'template': 'You are a nice assistant.', 'template_format': 'f-string'}}}}, {'lc': 1, 'type': 'constructor', 'id': ['langchain', 'prompts', 'chat', 'HumanMessagePromptTemplate'], 'kwargs': {'prompt': {'lc': 1, 'type': 'constructor', 'id': ['langchain', 'prompts', 'prompt', 'PromptTemplate'], 'kwargs': {'input_variables': ['question'], 'template': '{question}', 'template_format': 'f-string'}}}}]}}, 'middle': [{'lc': 1, 'type': 'not_implemented', 'id': ['langchain', 'schema', 'runnable', 'RunnableLambda']}], 'last': {'lc': 1, 'type': 'constructor', 'id': ['langchain', 'schema', 'runnable', 'RunnableMap'], 'kwargs': {'steps': {'chat': {'lc': 1, 'type': 'not_implemented', 'id': ['langchain', 'chat_models', 'fake', 'FakeListChatModel']}, 'llm': {'lc': 1, 'type': 'not_implemented', 'id': ['langchain', 'llms', 'fake', 'FakeListLLM']}, 'passthrough': {'lc': 1, 'type': 'not_implemented', 'id': ['langchain', 'schema', 'runnable', 'RunnableLambda']}}}}}}, events=[{'name': 'start', 'time': FakeDatetime(2023, 1, 1, 0, 0)}, {'name': 'end', 'time': FakeDatetime(2023, 1, 1, 0, 0)}], inputs={'question': 'What is your name?'}, outputs={'chat': AIMessage(content="i'm a chatbot", additional_kwargs={}, example=False), 'llm': "i'm a textbot", 'passthrough': ChatPromptValue(messages=[SystemMessage(content='You are a nice assistant.', additional_kwargs={}), HumanMessage(content='What is your name?', additional_kwargs={}, example=False)])}, reference_example_id=None, parent_run_id=None, tags=[], execution_order=1, child_execution_order=7, child_runs=[Run(id=UUID('00000000-0000-4000-8000-000000000001'), name='ChatPromptTemplate', start_time=FakeDatetime(2023, 1, 1, 0, 0), run_type=<RunTypeEnum.chain: 'chain'>, end_time=FakeDatetime(2023, 1, 1, 0, 0), extra={}, error=None, serialized={'lc': 1, 'type': 'constructor', 'id': ['langchain', 'prompts', 'chat', 'ChatPromptTemplate'], 'kwargs': {'messages': [{'lc': 1, 'type': 'constructor', 'id': ['langchain', 'prompts', 'chat', 'SystemMessagePromptTemplate'], 'kwargs': {'prompt': {'lc': 1, 'type': 'constructor', 'id': ['langchain', 'prompts', 'prompt', 'PromptTemplate'], 'kwargs': {'input_variables': [], 'template': 'You are a nice assistant.', 'template_format': 'f-string'}}}}, {'lc': 1, 'type': 'constructor', 'id': ['langchain', 'prompts', 'chat', 'HumanMessagePromptTemplate'], 'kwargs': {'prompt': {'lc': 1, 'type': 'constructor', 'id': ['langchain', 'prompts', 'prompt', 'PromptTemplate'], 'kwargs': {'input_variables': ['question'], 'template': '{question}', 'template_format': 'f-string'}}}}]}}, events=[{'name': 'start', 'time': FakeDatetime(2023, 1, 1, 0, 0)}, {'name': 'end', 'time': FakeDatetime(2023, 1, 1, 0, 0)}], inputs={'question': 'What is your name?'}, outputs={'output': ChatPromptValue(messages=[SystemMessage(content='You are a nice assistant.', additional_kwargs={}), HumanMessage(content='What is your name?', additional_kwargs={}, example=False)])}, reference_example_id=None, parent_run_id=UUID('00000000-0000-4000-8000-000000000000'), tags=[], execution_order=2, child_execution_order=2, child_runs=[]), Run(id=UUID('00000000-0000-4000-8000-000000000002'), name='RunnableLambda', start_time=FakeDatetime(2023, 1, 1, 0, 0), run_type=<RunTypeEnum.chain: 'chain'>, end_time=FakeDatetime(2023, 1, 1, 0, 0), extra={}, error=None, serialized={'lc': 1, 'type': 'not_implemented', 'id': ['langchain', 'schema', 'runnable', 'RunnableLambda']}, events=[{'name': 'start', 'time': FakeDatetime(2023, 1, 1, 0, 0)}, {'name': 'end', 'time': FakeDatetime(2023, 1, 1, 0, 0)}], inputs={'input': ChatPromptValue(messages=[SystemMessage(content='You are a nice assistant.', additional_kwargs={}), HumanMessage(content='What is your name?', additional_kwargs={}, example=False)])}, outputs={'output': ChatPromptValue(messages=[SystemMessage(content='You are a nice assistant.', additional_kwargs={}), HumanMessage(content='What is your name?', additional_kwargs={}, example=False)])}, reference_example_id=None, parent_run_id=UUID('00000000-0000-4000-8000-000000000000'), tags=[], execution_order=3, child_execution_order=3, child_runs=[]), Run(id=UUID('00000000-0000-4000-8000-000000000003'), name='RunnableMap', start_time=FakeDatetime(2023, 1, 1, 0, 0), run_type=<RunTypeEnum.chain: 'chain'>, end_time=FakeDatetime(2023, 1, 1, 0, 0), extra={}, error=None, serialized={'lc': 1, 'type': 'constructor', 'id': ['langchain', 'schema', 'runnable', 'RunnableMap'], 'kwargs': {'steps': {'chat': {'lc': 1, 'type': 'not_implemented', 'id': ['langchain', 'chat_models', 'fake', 'FakeListChatModel']}, 'llm': {'lc': 1, 'type': 'not_implemented', 'id': ['langchain', 'llms', 'fake', 'FakeListLLM']}, 'passthrough': {'lc': 1, 'type': 'not_implemented', 'id': ['langchain', 'schema', 'runnable', 'RunnableLambda']}}}}, events=[{'name': 'start', 'time': FakeDatetime(2023, 1, 1, 0, 0)}, {'name': 'end', 'time': FakeDatetime(2023, 1, 1, 0, 0)}], inputs={'input': ChatPromptValue(messages=[SystemMessage(content='You are a nice assistant.', additional_kwargs={}), HumanMessage(content='What is your name?', additional_kwargs={}, example=False)])}, outputs={'chat': AIMessage(content="i'm a chatbot", additional_kwargs={}, example=False), 'llm': "i'm a textbot", 'passthrough': ChatPromptValue(messages=[SystemMessage(content='You are a nice assistant.', additional_kwargs={}), HumanMessage(content='What is your name?', additional_kwargs={}, example=False)])}, reference_example_id=None, parent_run_id=UUID('00000000-0000-4000-8000-000000000000'), tags=[], execution_order=4, child_execution_order=7, child_runs=[Run(id=UUID('00000000-0000-4000-8000-000000000004'), name='FakeListChatModel', start_time=FakeDatetime(2023, 1, 1, 0, 0), run_type=<RunTypeEnum.llm: 'llm'>, end_time=FakeDatetime(2023, 1, 1, 0, 0), extra={'invocation_params': {'responses': ["i'm a chatbot"], '_type': 'fake-list-chat-model', 'stop': None}, 'options': {'stop': None}}, error=None, serialized={'lc': 1, 'type': 'not_implemented', 'id': ['langchain', 'chat_models', 'fake', 'FakeListChatModel']}, events=[{'name': 'start', 'time': FakeDatetime(2023, 1, 1, 0, 0)}, {'name': 'end', 'time': FakeDatetime(2023, 1, 1, 0, 0)}], inputs={'prompts': ['System: You are a nice assistant.\nHuman: What is your name?']}, outputs={'generations': [[{'text': "i'm a chatbot", 'generation_info': None, 'message': {'lc': 1, 'type': 'constructor', 'id': ['langchain', 'schema', 'messages', 'AIMessage'], 'kwargs': {'content': "i'm a chatbot"}}}]], 'llm_output': None, 'run': None}, reference_example_id=None, parent_run_id=UUID('00000000-0000-4000-8000-000000000003'), tags=[], execution_order=5, child_execution_order=5, child_runs=[]), Run(id=UUID('00000000-0000-4000-8000-000000000005'), name='FakeListLLM', start_time=FakeDatetime(2023, 1, 1, 0, 0), run_type=<RunTypeEnum.llm: 'llm'>, end_time=FakeDatetime(2023, 1, 1, 0, 0), extra={'invocation_params': {'responses': ["i'm a textbot"], '_type': 'fake-list', 'stop': None}, 'options': {'stop': None}}, error=None, serialized={'lc': 1, 'type': 'not_implemented', 'id': ['langchain', 'llms', 'fake', 'FakeListLLM']}, events=[{'name': 'start', 'time': FakeDatetime(2023, 1, 1, 0, 0)}, {'name': 'end', 'time': FakeDatetime(2023, 1, 1, 0, 0)}], inputs={'prompts': ['System: You are a nice assistant.\nHuman: What is your name?']}, outputs={'generations': [[{'text': "i'm a textbot", 'generation_info': None}]], 'llm_output': None, 'run': None}, reference_example_id=None, parent_run_id=UUID('00000000-0000-4000-8000-000000000003'), tags=[], execution_order=6, child_execution_order=6, child_runs=[]), Run(id=UUID('00000000-0000-4000-8000-000000000006'), name='RunnableLambda', start_time=FakeDatetime(2023, 1, 1, 0, 0), run_type=<RunTypeEnum.chain: 'chain'>, end_time=FakeDatetime(2023, 1, 1, 0, 0), extra={}, error=None, serialized={'lc': 1, 'type': 'not_implemented', 'id': ['langchain', 'schema', 'runnable', 'RunnableLambda']}, events=[{'name': 'start', 'time': FakeDatetime(2023, 1, 1, 0, 0)}, {'name': 'end', 'time': FakeDatetime(2023, 1, 1, 0, 0)}], inputs={'input': ChatPromptValue(messages=[SystemMessage(content='You are a nice assistant.', additional_kwargs={}), HumanMessage(content='What is your name?', additional_kwargs={}, example=False)])}, outputs={'output': ChatPromptValue(messages=[SystemMessage(content='You are a nice assistant.', additional_kwargs={}), HumanMessage(content='What is your name?', additional_kwargs={}, example=False)])}, reference_example_id=None, parent_run_id=UUID('00000000-0000-4000-8000-000000000003'), tags=[], execution_order=7, child_execution_order=7, child_runs=[])])]),
+    Run(id=UUID('00000000-0000-4000-8000-000000000000'), name='RunnableSequence', start_time=FakeDatetime(2023, 1, 1, 0, 0), run_type=<RunTypeEnum.chain: 'chain'>, end_time=FakeDatetime(2023, 1, 1, 0, 0), extra={}, error=None, serialized={'lc': 1, 'type': 'constructor', 'id': ['langchain', 'schema', 'runnable', 'RunnableSequence'], 'kwargs': {'first': {'lc': 1, 'type': 'constructor', 'id': ['langchain', 'prompts', 'chat', 'ChatPromptTemplate'], 'kwargs': {'messages': [{'lc': 1, 'type': 'constructor', 'id': ['langchain', 'prompts', 'chat', 'SystemMessagePromptTemplate'], 'kwargs': {'prompt': {'lc': 1, 'type': 'constructor', 'id': ['langchain', 'prompts', 'prompt', 'PromptTemplate'], 'kwargs': {'input_variables': [], 'template': 'You are a nice assistant.', 'template_format': 'f-string'}}}}, {'lc': 1, 'type': 'constructor', 'id': ['langchain', 'prompts', 'chat', 'HumanMessagePromptTemplate'], 'kwargs': {'prompt': {'lc': 1, 'type': 'constructor', 'id': ['langchain', 'prompts', 'prompt', 'PromptTemplate'], 'kwargs': {'input_variables': ['question'], 'template': '{question}', 'template_format': 'f-string'}}}}]}}, 'middle': [{'lc': 1, 'type': 'not_implemented', 'id': ['langchain', 'schema', 'runnable', 'RunnableLambda']}], 'last': {'lc': 1, 'type': 'constructor', 'id': ['langchain', 'schema', 'runnable', 'RunnableMap'], 'kwargs': {'steps': {'chat': {'lc': 1, 'type': 'constructor', 'id': ['langchain', 'schema', 'runnable', 'RunnableBinding'], 'kwargs': {'bound': {'lc': 1, 'type': 'not_implemented', 'id': ['langchain', 'chat_models', 'fake', 'FakeListChatModel']}, 'kwargs': {'stop': ['Thought:']}}}, 'llm': {'lc': 1, 'type': 'not_implemented', 'id': ['langchain', 'llms', 'fake', 'FakeListLLM']}, 'passthrough': {'lc': 1, 'type': 'not_implemented', 'id': ['langchain', 'schema', 'runnable', 'RunnableLambda']}}}}}}, events=[{'name': 'start', 'time': FakeDatetime(2023, 1, 1, 0, 0)}, {'name': 'end', 'time': FakeDatetime(2023, 1, 1, 0, 0)}], inputs={'question': 'What is your name?'}, outputs={'chat': AIMessage(content="i'm a chatbot", additional_kwargs={}, example=False), 'llm': "i'm a textbot", 'passthrough': ChatPromptValue(messages=[SystemMessage(content='You are a nice assistant.', additional_kwargs={}), HumanMessage(content='What is your name?', additional_kwargs={}, example=False)])}, reference_example_id=None, parent_run_id=None, tags=[], execution_order=1, child_execution_order=7, child_runs=[Run(id=UUID('00000000-0000-4000-8000-000000000001'), name='ChatPromptTemplate', start_time=FakeDatetime(2023, 1, 1, 0, 0), run_type=<RunTypeEnum.chain: 'chain'>, end_time=FakeDatetime(2023, 1, 1, 0, 0), extra={}, error=None, serialized={'lc': 1, 'type': 'constructor', 'id': ['langchain', 'prompts', 'chat', 'ChatPromptTemplate'], 'kwargs': {'messages': [{'lc': 1, 'type': 'constructor', 'id': ['langchain', 'prompts', 'chat', 'SystemMessagePromptTemplate'], 'kwargs': {'prompt': {'lc': 1, 'type': 'constructor', 'id': ['langchain', 'prompts', 'prompt', 'PromptTemplate'], 'kwargs': {'input_variables': [], 'template': 'You are a nice assistant.', 'template_format': 'f-string'}}}}, {'lc': 1, 'type': 'constructor', 'id': ['langchain', 'prompts', 'chat', 'HumanMessagePromptTemplate'], 'kwargs': {'prompt': {'lc': 1, 'type': 'constructor', 'id': ['langchain', 'prompts', 'prompt', 'PromptTemplate'], 'kwargs': {'input_variables': ['question'], 'template': '{question}', 'template_format': 'f-string'}}}}]}}, events=[{'name': 'start', 'time': FakeDatetime(2023, 1, 1, 0, 0)}, {'name': 'end', 'time': FakeDatetime(2023, 1, 1, 0, 0)}], inputs={'question': 'What is your name?'}, outputs={'output': ChatPromptValue(messages=[SystemMessage(content='You are a nice assistant.', additional_kwargs={}), HumanMessage(content='What is your name?', additional_kwargs={}, example=False)])}, reference_example_id=None, parent_run_id=UUID('00000000-0000-4000-8000-000000000000'), tags=[], execution_order=2, child_execution_order=2, child_runs=[]), Run(id=UUID('00000000-0000-4000-8000-000000000002'), name='RunnableLambda', start_time=FakeDatetime(2023, 1, 1, 0, 0), run_type=<RunTypeEnum.chain: 'chain'>, end_time=FakeDatetime(2023, 1, 1, 0, 0), extra={}, error=None, serialized={'lc': 1, 'type': 'not_implemented', 'id': ['langchain', 'schema', 'runnable', 'RunnableLambda']}, events=[{'name': 'start', 'time': FakeDatetime(2023, 1, 1, 0, 0)}, {'name': 'end', 'time': FakeDatetime(2023, 1, 1, 0, 0)}], inputs={'input': ChatPromptValue(messages=[SystemMessage(content='You are a nice assistant.', additional_kwargs={}), HumanMessage(content='What is your name?', additional_kwargs={}, example=False)])}, outputs={'output': ChatPromptValue(messages=[SystemMessage(content='You are a nice assistant.', additional_kwargs={}), HumanMessage(content='What is your name?', additional_kwargs={}, example=False)])}, reference_example_id=None, parent_run_id=UUID('00000000-0000-4000-8000-000000000000'), tags=[], execution_order=3, child_execution_order=3, child_runs=[]), Run(id=UUID('00000000-0000-4000-8000-000000000003'), name='RunnableMap', start_time=FakeDatetime(2023, 1, 1, 0, 0), run_type=<RunTypeEnum.chain: 'chain'>, end_time=FakeDatetime(2023, 1, 1, 0, 0), extra={}, error=None, serialized={'lc': 1, 'type': 'constructor', 'id': ['langchain', 'schema', 'runnable', 'RunnableMap'], 'kwargs': {'steps': {'chat': {'lc': 1, 'type': 'constructor', 'id': ['langchain', 'schema', 'runnable', 'RunnableBinding'], 'kwargs': {'bound': {'lc': 1, 'type': 'not_implemented', 'id': ['langchain', 'chat_models', 'fake', 'FakeListChatModel']}, 'kwargs': {'stop': ['Thought:']}}}, 'llm': {'lc': 1, 'type': 'not_implemented', 'id': ['langchain', 'llms', 'fake', 'FakeListLLM']}, 'passthrough': {'lc': 1, 'type': 'not_implemented', 'id': ['langchain', 'schema', 'runnable', 'RunnableLambda']}}}}, events=[{'name': 'start', 'time': FakeDatetime(2023, 1, 1, 0, 0)}, {'name': 'end', 'time': FakeDatetime(2023, 1, 1, 0, 0)}], inputs={'input': ChatPromptValue(messages=[SystemMessage(content='You are a nice assistant.', additional_kwargs={}), HumanMessage(content='What is your name?', additional_kwargs={}, example=False)])}, outputs={'chat': AIMessage(content="i'm a chatbot", additional_kwargs={}, example=False), 'llm': "i'm a textbot", 'passthrough': ChatPromptValue(messages=[SystemMessage(content='You are a nice assistant.', additional_kwargs={}), HumanMessage(content='What is your name?', additional_kwargs={}, example=False)])}, reference_example_id=None, parent_run_id=UUID('00000000-0000-4000-8000-000000000000'), tags=[], execution_order=4, child_execution_order=7, child_runs=[Run(id=UUID('00000000-0000-4000-8000-000000000004'), name='FakeListChatModel', start_time=FakeDatetime(2023, 1, 1, 0, 0), run_type=<RunTypeEnum.llm: 'llm'>, end_time=FakeDatetime(2023, 1, 1, 0, 0), extra={'invocation_params': {'responses': ["i'm a chatbot"], '_type': 'fake-list-chat-model', 'stop': ['Thought:']}, 'options': {'stop': ['Thought:']}}, error=None, serialized={'lc': 1, 'type': 'not_implemented', 'id': ['langchain', 'chat_models', 'fake', 'FakeListChatModel']}, events=[{'name': 'start', 'time': FakeDatetime(2023, 1, 1, 0, 0)}, {'name': 'end', 'time': FakeDatetime(2023, 1, 1, 0, 0)}], inputs={'prompts': ['System: You are a nice assistant.\nHuman: What is your name?']}, outputs={'generations': [[{'text': "i'm a chatbot", 'generation_info': None, 'message': {'lc': 1, 'type': 'constructor', 'id': ['langchain', 'schema', 'messages', 'AIMessage'], 'kwargs': {'content': "i'm a chatbot"}}}]], 'llm_output': None, 'run': None}, reference_example_id=None, parent_run_id=UUID('00000000-0000-4000-8000-000000000003'), tags=[], execution_order=5, child_execution_order=5, child_runs=[]), Run(id=UUID('00000000-0000-4000-8000-000000000005'), name='FakeListLLM', start_time=FakeDatetime(2023, 1, 1, 0, 0), run_type=<RunTypeEnum.llm: 'llm'>, end_time=FakeDatetime(2023, 1, 1, 0, 0), extra={'invocation_params': {'responses': ["i'm a textbot"], '_type': 'fake-list', 'stop': None}, 'options': {'stop': None}}, error=None, serialized={'lc': 1, 'type': 'not_implemented', 'id': ['langchain', 'llms', 'fake', 'FakeListLLM']}, events=[{'name': 'start', 'time': FakeDatetime(2023, 1, 1, 0, 0)}, {'name': 'end', 'time': FakeDatetime(2023, 1, 1, 0, 0)}], inputs={'prompts': ['System: You are a nice assistant.\nHuman: What is your name?']}, outputs={'generations': [[{'text': "i'm a textbot", 'generation_info': None}]], 'llm_output': None, 'run': None}, reference_example_id=None, parent_run_id=UUID('00000000-0000-4000-8000-000000000003'), tags=[], execution_order=6, child_execution_order=6, child_runs=[]), Run(id=UUID('00000000-0000-4000-8000-000000000006'), name='RunnableLambda', start_time=FakeDatetime(2023, 1, 1, 0, 0), run_type=<RunTypeEnum.chain: 'chain'>, end_time=FakeDatetime(2023, 1, 1, 0, 0), extra={}, error=None, serialized={'lc': 1, 'type': 'not_implemented', 'id': ['langchain', 'schema', 'runnable', 'RunnableLambda']}, events=[{'name': 'start', 'time': FakeDatetime(2023, 1, 1, 0, 0)}, {'name': 'end', 'time': FakeDatetime(2023, 1, 1, 0, 0)}], inputs={'input': ChatPromptValue(messages=[SystemMessage(content='You are a nice assistant.', additional_kwargs={}), HumanMessage(content='What is your name?', additional_kwargs={}, example=False)])}, outputs={'output': ChatPromptValue(messages=[SystemMessage(content='You are a nice assistant.', additional_kwargs={}), HumanMessage(content='What is your name?', additional_kwargs={}, example=False)])}, reference_example_id=None, parent_run_id=UUID('00000000-0000-4000-8000-000000000003'), tags=[], execution_order=7, child_execution_order=7, child_runs=[])])]),
   ])
 # ---
diff --git a/libs/langchain/tests/unit_tests/schema/test_runnable.py b/libs/langchain/tests/unit_tests/schema/test_runnable.py
index 71a7984d126..23fda63f45e 100644
--- a/libs/langchain/tests/unit_tests/schema/test_runnable.py
+++ b/libs/langchain/tests/unit_tests/schema/test_runnable.py
@@ -566,7 +566,7 @@ def test_seq_prompt_map(
         prompt
         | passthrough
         | {
-            "chat": chat,
+            "chat": chat.bind(stop=["Thought:"]),
             "llm": llm,
             "passthrough": passthrough,
         }