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commented
6 days ago Hello @FlorentGrenier! I'm here to help you with any bugs, questions, or contributions you have. Let's work together to solve this issue.
To resolve the "Timeout context manager should be used inside a task" error that occurs on the second request sent to the RetrieverQueryEngine in your chatbot application, ensure that all asynchronous operations are properly awaited within an asynchronous context. This error typically arises when an asynchronous operation is attempted outside of an asynchronous context.
Here is an example of how you can properly use the aresponse_gen_from_query_engine function within an asynchronous function:
import asyncio
from llama_index.core.chat_engine.utils import aresponse_gen_from_query_engine
async def handle_request(response_gen):
async for response in aresponse_gen_from_query_engine(response_gen):
# Process the response
print(response.message.content)
# Example usage
async def main():
# Assuming `response_gen` is an asynchronous generator obtained from `RetrieverQueryEngine`
response_gen = get_response_gen_from_retriever_query_engine() # Replace with actual call
await handle_request(response_gen)
# Run the main function
asyncio.run(main())Ensure that get_response_gen_from_retriever_query_engine is replaced with the actual call to your RetrieverQueryEngine that returns an asynchronous generator. This way, the aresponse_gen_from_query_engine function is used within an asynchronous context, preventing the "Timeout context manager should be used inside a task" error.
Additionally, if you are using the CondenseQuestionChatEngine class, make sure that the achat and astream_chat methods are properly awaited and used within an asynchronous context. Here is an example of how you can use these methods:
from llama_index.legacy.chat_engine.condense_question import CondenseQuestionChatEngine
async def main():
# Initialize your CondenseQuestionChatEngine with appropriate parameters
chat_engine = CondenseQuestionChatEngine.from_defaults(query_engine, condense_question_prompt, memory, llm)
# Use the achat method for asynchronous chat
response = await chat_engine.achat("Your message here")
print(response.response)
# Use the astream_chat method for asynchronous streaming chat
streaming_response = await chat_engine.astream_chat("Your message here")
async for message in streaming_response.chat_stream:
print(message.content)
# Run the main function
asyncio.run(main())It's important to note that the RetrySourceQueryEngine class does not support asynchronous querying directly, as indicated by the async def _aquery method returning the result of the synchronous _query method. Therefore, ensure that you are not attempting to use asynchronous operations with RetrySourceQueryEngine directly. Instead, use the synchronous _query method within an appropriate context.
By ensuring that all asynchronous operations are properly awaited within an asynchronous context, and by using the correct methods for synchronous operations, you can avoid the "Timeout context manager should be used inside a task" error [1][2][3][4].
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logan-markewich
Bug Description
I'm developing a chatbot, and on a second request sent the bug appears
I don't know if I should post this here or open a problem with the Python Elasticsearch library.
Version
0.10.50
Steps to Reproduce
Send a second query to the RetrieverQueryEngine, built from a VectorIndexRetriever, a VectorStoreIndex and an ElasticSearchVectorStore.
Relevant Logs/Tracbacks