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commented
8 months ago 🤖
Hello @wangpengfei2048! I'm Dosu, a friendly bot here to assist you while we wait for a human maintainer. I can help you solve bugs, answer your questions, and guide you to become a more effective contributor. Just know that I'm here for you, so let's figure this out together.
From the error trace you provided, it seems like the error is originating from the astream function in the ChatModel class, which is part of the LangChain's language models. The error is an AssertionError which is raised when the assert statement fails. In this case, the assertion that's failing is assert generation is not None.
The astream function in the ChatModel class is responsible for generating responses from the language model. The generation variable in the assertion is the output from the language model. The assertion is checking that the language model has produced some output. If generation is None, it means that the language model has not produced any output, which is why the assertion fails and the error is raised.
The error message IndexError('list index out of range') in the LangchainTracer.on_llm_error callback suggests that the error might be related to the handling of the output from the language model. It's possible that the output is an empty list, which would cause an IndexError when trying to access an element from the list.
As for the random occurrence of the error and the fact that it only recovers when you clear the memory, it's possible that the error is related to the state of the language model or the data it's processing. If the language model is in a certain state or if it's processing certain data when the error occurs, clearing the memory might reset the state of the language model or remove the problematic data, which would explain why it recovers.
To fix this issue, you could add error handling in the astream function to check if the output from the language model is None or an empty list and handle these cases appropriately. For example, you could return a default response or raise a more descriptive error. You could also investigate why the language model is not producing any output in some cases. This might involve looking into the state of the language model and the data it's processing when the error occurs.
Here is an example of how you could add error handling in the astream function:
async def astream(self, input: Input, config: Optional[RunnableConfig] = None, **kwargs: Optional[Any]) -> AsyncIterator[Output]:
runnable, config = self._prepare(config)
async for chunk in runnable.astream(input, config, **kwargs):
if chunk is None or len(chunk) == 0:
# Handle the case where the output is None or an empty list
# For example, return a default response or raise an error
continue
yield chunkPlease note that this is just a suggestion and the actual solution might depend on the specific requirements of your application and the nature of the error. If the error persists, please provide more details about the state of the language model and the data it's processing when the error occurs. This will help in identifying the root cause of the error and finding a suitable solution.
Sources
- libs/core/langchain_core/runnables/configurable.py
- libs/community/langchain_community/callbacks/llmonitor_callback.py
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hwchase17
wangpengfei2048
System Info
This is a random occurrence. Maybe after I ask many questions when it happen, Only clear the memory can recover.
the code to ask: async for chunk in runnable.astream( #or call astream_log question, config ): await res.stream_token(chunk) error information:
2024-01-09 13:32:02 - Error in LangchainTracer.on_llm_error callback: IndexError('list index out of range') 2024-01-09 13:32:02 - Traceback (most recent call last): File "/usr/local/lib/python3.11/site-packages/chainlit/utils.py", line 39, in wrapper return await user_function(params_values) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/rag-app/main.py", line 164, in onMessage await app.question_anwsering(message.content, False) File "/rag-app/app.py", line 367, in question_anwsering async for chunk in runnable.astream_log( File "/usr/local/lib/python3.11/site-packages/langchain_core/runnables/base.py", line 752, in astream_log await task File "/usr/local/lib/python3.11/asyncio/futures.py", line 290, in await return self.result() # May raise too. ^^^^^^^^^^^^^ File "/usr/local/lib/python3.11/asyncio/futures.py", line 203, in result raise self._exception.with_traceback(self._exception_tb) File "/usr/local/lib/python3.11/asyncio/tasks.py", line 267, in __step result = coro.send(None) ^^^^^^^^^^^^^^^ File "/usr/local/lib/python3.11/site-packages/langchain_core/runnables/base.py", line 706, in consume_astream async for chunk in self.astream(input, config, kwargs): File "/usr/local/lib/python3.11/site-packages/langchain_core/runnables/base.py", line 2158, in astream async for chunk in self.atransform(input_aiter(), config, kwargs): File "/usr/local/lib/python3.11/site-packages/langchain_core/runnables/base.py", line 2141, in atransform async for chunk in self._atransform_stream_with_config( File "/usr/local/lib/python3.11/site-packages/langchain_core/runnables/base.py", line 1308, in _atransform_stream_with_config chunk: Output = await asyncio.create_task( # type: ignore[call-arg] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/usr/local/lib/python3.11/asyncio/futures.py", line 287, in await yield self # This tells Task to wait for completion. ^^^^^^^^^^ File "/usr/local/lib/python3.11/asyncio/tasks.py", line 339, in wakeup future.result() File "/usr/local/lib/python3.11/asyncio/futures.py", line 203, in result raise self._exception.with_traceback(self._exception_tb) File "/usr/local/lib/python3.11/asyncio/tasks.py", line 267, in step result = coro.send(None) ^^^^^^^^^^^^^^^ File "/usr/local/lib/python3.11/site-packages/langchain_core/runnables/base.py", line 2111, in _atransform async for output in final_pipeline: File "/usr/local/lib/python3.11/site-packages/langchain_core/output_parsers/transform.py", line 60, in atransform async for chunk in self._atransform_stream_with_config( File "/usr/local/lib/python3.11/site-packages/langchain_core/runnables/base.py", line 1283, in _atransform_stream_with_config final_input: Optional[Input] = await py_anext(input_for_tracing, None) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/usr/local/lib/python3.11/site-packages/langchain_core/utils/aiter.py", line 62, in anext_impl return await anext(iterator) ^^^^^^^^^^^^^^^^^^^^^^^^^ File "/usr/local/lib/python3.11/site-packages/langchain_core/utils/aiter.py", line 97, in tee_peer item = await iterator.anext() ^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/usr/local/lib/python3.11/site-packages/langchain_core/runnables/base.py", line 806, in atransform async for output in self.astream(final, config, kwargs): File "/usr/local/lib/python3.11/site-packages/langchain_core/language_models/chat_models.py", line 307, in astream raise e File "/usr/local/lib/python3.11/site-packages/langchain_core/language_models/chat_models.py", line 299, in astream assert generation is not None ^^^^^^^^^^^^^^^^^^^^^^ AssertionError
Who can help?
No response
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Reproduction
This is a random occurrence. Maybe after I ask many questions when it happen, Only clear the memory can recover.
Expected behavior
fix it