get `httpx.RemoteProtocolError` error when using openai api

[jacky-ch93]

Describe the bug when using the code_interpreter, it will happen the error, the detail see Screenshots. If I do not use the code_interpreter, it will not have this error. I can not find the reson.

To Reproduce

python -m taskweaver -p ./project
count the row of ./projects/livis_demo/livis/project/sample_data/demo_data.csv

Expected behavior A clear and concise description of what you expected to happen. NA if feel not applicable.

Screenshots

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|_   _|_ _ ___| | _ | |     / /__  ____ __   _____  _____
  | |/ _` / __| |/ /| | /| / / _ \/ __ `/ | / / _ \/ ___/
  | | (_| \__ \   < | |/ |/ /  __/ /_/ /| |/ /  __/ /
  |_|\__,_|___/_|\_\|__/|__/\___/\__,_/ |___/\___/_/
=========================================================
TaskWeaver is running in the `local` mode. This implies that the code execution service will run on the same machine as the TaskWeaver server. For better security, it is recommended to run the code execution service in the `container` mode. More information can be found in the documentation (https://microsoft.github.io/TaskWeaver/docs/code_execution/).
--- new session starts ---
 TaskWeaver ▶  I am TaskWeaver, an AI assistant. To get started, could you please enter your request?
    Human   ▶  count the row of ./projects/livis_demo/livis/project/sample_data/demo_data.csv
 ╭───< Planner >
 ├─► [init_plan]
 │   1. load the data file
 │   2. count the rows of the loaded data <sequentially depends on 1>
 │   3. report the result to the user <interactively depends on 2>
 ├─► [plan]
 │   1. instruct CodeInterpreter to load the data file and count the rows of the loaded data
 │   2. report the result to the user
 ├─► [current_plan_step] 1. instruct CodeInterpreter to load the data file and count the rows of the loaded data
 ├──● Please load the data file  ./projects/livis_demo/livis/project/sample_data/demo_data.csv and count the rows of the loaded data
 ├─► [board]
 │   I have drawn up a plan: 
 │   1. instruct CodeInterpreter to load the data file and count the rows of the loaded data
 │   2. report the result to the user
 │   
 │   Please proceed with this step of this plan: Please load the data file  ./projects/livis_demo/livis/project/sample_data/demo_data.csv  and count the rows of the loaded data
 ╰──● sending message to CodeInterpreter
 ╭───< CodeInterpreter >
 ╰──● sending message to 
Error: Cannot process your request due to Exception: peer closed connection without sending complete message body (incomplete chunked read) 
 Traceback (most recent call last):
  File "/home/miniconda3/envs/taskweaver/lib/python3.10/site-packages/httpx/_transports/default.py", line 69, in map_httpcore_exceptions
    yield
  File "/home/miniconda3/envs/taskweaver/lib/python3.10/site-packages/httpx/_transports/default.py", line 113, in __iter__
    for part in self._httpcore_stream:
  File "/home/miniconda3/envs/taskweaver/lib/python3.10/site-packages/httpcore/_sync/connection_pool.py", line 367, in __iter__
    raise exc from None
  File "/home/miniconda3/envs/taskweaver/lib/python3.10/site-packages/httpcore/_sync/connection_pool.py", line 363, in __iter__
    for part in self._stream:
  File "/home/miniconda3/envs/taskweaver/lib/python3.10/site-packages/httpcore/_sync/http11.py", line 349, in __iter__
    raise exc
  File "/home/miniconda3/envs/taskweaver/lib/python3.10/site-packages/httpcore/_sync/http11.py", line 341, in __iter__
    for chunk in self._connection._receive_response_body(**kwargs):
  File "/home/miniconda3/envs/taskweaver/lib/python3.10/site-packages/httpcore/_sync/http11.py", line 210, in _receive_response_body
    event = self._receive_event(timeout=timeout)
  File "/home/miniconda3/envs/taskweaver/lib/python3.10/site-packages/httpcore/_sync/http11.py", line 220, in _receive_event
    with map_exceptions({h11.RemoteProtocolError: RemoteProtocolError}):
  File "/home/miniconda3/envs/taskweaver/lib/python3.10/contextlib.py", line 153, in __exit__
    self.gen.throw(typ, value, traceback)
  File "/home/miniconda3/envs/taskweaver/lib/python3.10/site-packages/httpcore/_exceptions.py", line 14, in map_exceptions
    raise to_exc(exc) from exc
httpcore.RemoteProtocolError: peer closed connection without sending complete message body (incomplete chunked read)

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
  File "/home/work/projects/livis_demo/livis/taskweaver/session/session.py", line 202, in _send_text_message
    post = _send_message(post.send_to, post)
  File "/home/work/projects/livis_demo/livis/taskweaver/module/tracing.py", line 174, in wrapper
    return func(*args, **kwargs)
  File "/home/work/projects/livis_demo/livis/taskweaver/session/session.py", line 182, in _send_message
    reply_post = self.worker_instances[recipient].reply(
  File "/home/work/projects/livis_demo/livis/taskweaver/module/tracing.py", line 186, in wrapper
    return func(self, *args, **kwargs)
  File "/home/work/projects/livis_demo/livis/taskweaver/code_interpreter/code_interpreter/code_interpreter.py", line 137, in reply
    self.generator.reply(
  File "/home/work/projects/livis_demo/livis/taskweaver/module/tracing.py", line 186, in wrapper
    return func(self, *args, **kwargs)
  File "/home/work/projects/livis_demo/livis/taskweaver/code_interpreter/code_interpreter/code_generator.py", line 378, in reply
    self.post_translator.raw_text_to_post(
  File "/home/work/projects/livis_demo/livis/taskweaver/role/translator.py", line 85, in raw_text_to_post
    for type_str, value, is_end in parser_stream:
  File "/home/work/projects/livis_demo/livis/taskweaver/role/translator.py", line 277, in parse_llm_output_stream_v2
    for ev in parser:
  File "/home/work/projects/livis_demo/livis/taskweaver/utils/json_parser.py", line 438, in parse_json_stream
    for chunk in itertools.chain(token_stream, [None]):
  File "/home/work/projects/livis_demo/livis/taskweaver/role/translator.py", line 57, in stream_filter
    for c in s:
  File "/home/work/projects/livis_demo/livis/taskweaver/llm/__init__.py", line 292, in _stream_smoother
    raise llm_source_error  # type:ignore
  File "/home/work/projects/livis_demo/livis/taskweaver/llm/__init__.py", line 240, in base_stream_puller
    for msg in stream:
  File "/home/work/projects/livis_demo/livis/taskweaver/llm/openai.py", line 179, in chat_completion
    for stream_res in res:
  File "/home/miniconda3/envs/taskweaver/lib/python3.10/site-packages/openai/_streaming.py", line 46, in __iter__
    for item in self._iterator:
  File "/home/miniconda3/envs/taskweaver/lib/python3.10/site-packages/openai/_streaming.py", line 58, in __stream__
    for sse in iterator:
  File "/home/miniconda3/envs/taskweaver/lib/python3.10/site-packages/openai/_streaming.py", line 50, in _iter_events
    yield from self._decoder.iter_bytes(self.response.iter_bytes())
  File "/home/miniconda3/envs/taskweaver/lib/python3.10/site-packages/openai/_streaming.py", line 280, in iter_bytes
    for chunk in self._iter_chunks(iterator):
  File "/home/miniconda3/envs/taskweaver/lib/python3.10/site-packages/openai/_streaming.py", line 291, in _iter_chunks
    for chunk in iterator:
  File "/home/miniconda3/envs/taskweaver/lib/python3.10/site-packages/httpx/_models.py", line 829, in iter_bytes
    for raw_bytes in self.iter_raw():
  File "/home/miniconda3/envs/taskweaver/lib/python3.10/site-packages/httpx/_models.py", line 883, in iter_raw
    for raw_stream_bytes in self.stream:
  File "/home/miniconda3/envs/taskweaver/lib/python3.10/site-packages/httpx/_client.py", line 126, in __iter__
    for chunk in self._stream:
  File "/home/miniconda3/envs/taskweaver/lib/python3.10/site-packages/httpx/_transports/default.py", line 112, in __iter__
    with map_httpcore_exceptions():
  File "/home/miniconda3/envs/taskweaver/lib/python3.10/contextlib.py", line 153, in __exit__
    self.gen.throw(typ, value, traceback)
  File "/home/miniconda3/envs/taskweaver/lib/python3.10/site-packages/httpx/_transports/default.py", line 86, in map_httpcore_exceptions
    raise mapped_exc(message) from exc
httpx.RemoteProtocolError: peer closed connection without sending complete message body (incomplete chunked read)

Environment Information (please complete the following information):

• OS: linux, openai==1.34.0
• Python Version : 3.10
• LLM that you're using: openai_api_server from llama_factury
• Other Configurations except the LLM api/key related:

[liqul]

Is this a constant issue or only happen occasionally? I run a similar query with azure openai's endpoint and cannot reproduce this issue. Or, can you try a different endpoint and sometimes the inferencing framework is the root cause.

[jacky-ch93]

Is this a constant issue or only happen occasionally? I run a similar query with azure openai's endpoint and cannot reproduce this issue. Or, can you try a different endpoint and sometimes the inferencing framework is the root cause.

Thanks! I will check the framework.