22 KiB
22 KiB
vllm 崩溃问题排查
问题原因
vllm在处理请求时,调用了 get_structured_output_key 函数,在处理 structured_outputs 参数时,由于不满足所有的情况,导致了抛出No valid structured output parameter found异常,该异常未被 EngineCore 捕获导致引擎崩溃,APIServer 发现引擎死了,自己也退出了进程。
使用抓包工具 tshark 监控 http 请求
在合适的目录下执行下面的命令,tshark 需要 root 权限,请使用 root 账号执行
安装 tshark(已执行完毕)
sudo apt-get install tshark
创建一个 shell 脚本
vim hook_vllm_gpt-oss-120b.sh
脚本内容如下:
#!/bin/bash
# ========================================
# 监控本地 v1/chat/completions 接口的 HTTP 请求与响应
# 仅保留最近 20 条日志(含流式响应,如 SSE)
# 使用 tshark + TCP 流跟踪
# ========================================
# 配置
INTERFACE="lo" # 本地回环接口
PORT="8077"
ENDPOINT="/v1/chat/completions"
LOG_FILE="/hook/chat_completions.log"
TEMP_LOG="/hook/chat_completions.tmp"
PID_FILE="/hook/hook_vllm_gpt-oss-120b.pid"
# 检查是否已运行
if [ -f "$PID_FILE" ]; then
if ps -p $(cat "$PID_FILE") > /dev/null 2>&1; then
echo "【错误】监控脚本已在运行 (PID: $(cat $PID_FILE))"
exit 1
else
rm -f "$PID_FILE"
fi
fi
# 记录 PID
echo $$ > "$PID_FILE"
# 清空日志
> "$LOG_FILE"
echo "✅ 开始监控 http://127.0.0.1:$PORT$ENDPOINT"
echo "📝 日志将保存到: $LOG_FILE"
echo "⏳ 仅保留最近 20 条,按 Ctrl+C 停止"
# 信号处理:清理 PID 文件
trap 'rm -f "$PID_FILE"; echo "⏹️ 监控已停止"; exit 0' SIGINT SIGTERM
# 使用 tshark 跟踪 TCP 流
sudo tshark \
-i "$INTERFACE" \
-f "tcp port $PORT and host 127.0.0.1" \
-q \
-z "follow,tcp,ascii" \
2>/dev/null | \
stdbuf -oL awk -v endpoint="$ENDPOINT" -v log="$LOG_FILE" -v temp="$TEMP" '
BEGIN {
RS = "\n\n"
ORS = ""
in_request = 0
buffer = ""
count = 0
}
# 分割流,识别每条 TCP 流
{
if (match($0, /GET|POST|PUT|DELETE|HTTP/) && index($0, endpoint)) {
# 提取时间戳(tshark 输出第一行包含时间)
if (match($0, /Following.*on port [0-9]+$/)) {
ts = substr($0, RSTART, RLENGTH)
gsub(/.*on/, "on", ts)
} else {
ts = "unknown time"
}
# 提取请求行和头
split($0, lines, /\n/)
for (i=1; i<=length(lines); i++) {
if (lines[i] ~ /(GET|POST|PUT|DELETE)/ && index(lines[i], endpoint)) {
request_line = lines[i]
}
if (lines[i] ~ /Content-Type:/ || lines[i] ~ /Authorization:/ || lines[i] ~ /User-Agent:/) {
headers = headers "\n " lines[i]
}
}
# 提取请求体(通常在空行后)
body = ""
in_body = 0
for (i=1; i<=length(lines); i++) {
if (lines[i] == "" || lines[i] ~ /HTTP\/[0-9.]/) {
in_body = 1
continue
}
if (in_body && lines[i] !~ /(No response found|Following)/) {
body = body lines[i] "\n"
}
}
# 提取响应部分(HTTP/ 开头)
response = ""
for (i=1; i<=length(lines); i++) {
if (lines[i] ~ /^HTTP\// && i > 1) {
for (j=i; j<=length(lines); j++) {
if (lines[j] !~ /Following/) {
response = response lines[j] "\n"
}
}
break
}
}
# 构造日志条目
entry = "========================================\n"
entry = entry "🕒 " ts "\n"
entry = entry "📤 请求: " request_line "\n"
if (headers != "") {
entry = entry "📎 头部:\n" headers "\n"
}
if (body != "") {
entry = entry "📦 请求体:\n" body "\n"
}
if (response != "") {
entry = entry "📥 响应:\n" response "\n"
}
entry = entry "========================================\n\n"
# 写入日志并保留最近 20 条
cmd = "echo -e \"" entry "\" >> " log " && tail -n 200 " log " > " temp " && mv " temp " " log
system(cmd)
# 重置
headers = ""
body = ""
response = ""
}
}
'
# 正常退出时清理
rm -f "$PID_FILE"
赋予执行权限
chmod +x hook_vllm_gpt-oss-120b.sh
后台运行脚本
nohup /hook/hook_vllm_gpt-oss-120b.sh > /dev/null 2>&1 &
查看请求日志
tail -f /hook/chat_completions.log
停止脚本
pkill -f hook_vllm_gpt-oss-120b.sh
函数 get_structured_output_key 实现
分支:release/v0.11.0
https://github.com/vllm-project/vllm/blob/releases/v0.11.0/vllm/v1/structured_output/request.py
def get_structured_output_key(sampling_params: SamplingParams) -> StructuredOutputKey:
params = sampling_params.structured_outputs
assert params is not None, "params can't be None."
if params.json is not None:
if not isinstance(params.json, str):
json_str = json.dumps(params.json)
else:
json_str = params.json
return (StructuredOutputOptions.JSON, json_str)
elif params.json_object:
return (StructuredOutputOptions.JSON_OBJECT, "")
elif params.regex is not None:
return (StructuredOutputOptions.REGEX, params.regex)
elif params.choice is not None:
if not isinstance(params.choice, str):
json_str = json.dumps(params.choice)
else:
json_str = params.choice
return (StructuredOutputOptions.CHOICE, json_str)
elif params.grammar is not None:
return (StructuredOutputOptions.GRAMMAR, params.grammar)
elif params.structural_tag is not None:
return (StructuredOutputOptions.STRUCTURAL_TAG, params.structural_tag)
else:
raise ValueError("No valid structured output parameter found")
分支:release/v0.10.2
https://github.com/vllm-project/vllm/blob/releases/v0.10.2/vllm/v1/structured_output/request.py
def get_structured_output_key(
sampling_params: SamplingParams) -> StructuredOutputKey:
params = sampling_params.guided_decoding
assert params is not None, "params can't be None."
if params.json is not None:
if not isinstance(params.json, str):
json_str = json.dumps(params.json)
else:
json_str = params.json
return (StructuredOutputOptions.JSON, json_str)
elif params.json_object:
return (StructuredOutputOptions.JSON_OBJECT, "")
elif params.regex is not None:
return (StructuredOutputOptions.REGEX, params.regex)
elif params.choice is not None:
if not isinstance(params.choice, str):
json_str = json.dumps(params.choice)
else:
json_str = params.choice
return (StructuredOutputOptions.CHOICE, json_str)
elif params.grammar is not None:
return (StructuredOutputOptions.GRAMMAR, params.grammar)
elif params.structural_tag is not None:
return (StructuredOutputOptions.STRUCTURAL_TAG, params.structural_tag)
else:
raise ValueError("No valid structured output parameter found")
2个版本的唯一区别,仅仅是提取
SamplingParams的属性不一样,其它判断逻辑都是一致的
SamplingParams
https://github.com/vllm-project/vllm/blob/releases/v0.11.0/vllm/sampling_params.py
# 其它参数已省略
class SamplingParams(
💡初始化逻辑是没问题的,默认值是None
structured_outputs: Optional[StructuredOutputsParams] = None
guided_decoding: Optional[GuidedDecodingParams] = None
@staticmethod
def from_optional(
💡默认值也是None
structured_outputs: Optional[StructuredOutputsParams] = None,
) -> "SamplingParams":
if guided_decoding is not None:
warnings.warn(
"guided_decoding is deprecated. This will be removed in "
💡官方将在 v0.12.0 废弃 guided_decoding 参数,使用 structured_outputs 参数替代,在 v0.11.0 版本做了兼容,
"v0.12.0 or v1.0.0, which ever is soonest. Please use "
"structured_outputs instead.",
DeprecationWarning,
stacklevel=2)
structured_outputs = guided_decoding
guided_decoding = None
return SamplingParams(
structured_outputs=structured_outputs,
)
StructuredOutputOptions
class StructuredOutputOptions(enum.Enum):
JSON = enum.auto()
JSON_OBJECT = enum.auto()
REGEX = enum.auto()
GRAMMAR = enum.auto()
CHOICE = enum.auto()
STRUCTURAL_TAG = enum.auto()
💡只支持这6种类型,每个类型都对应 structured_outputs 下面的一个不同的参数。
崩溃日志片段
[1;36m(EngineCore_DP0 pid=2738693)[0;0m ERROR 10-10 10:43:10 [core.py:710] EngineCore encountered a fatal error.
[1;36m(EngineCore_DP0 pid=2738693)[0;0m ERROR 10-10 10:43:10 [core.py:710] Traceback (most recent call last):
[1;36m(EngineCore_DP0 pid=2738693)[0;0m ERROR 10-10 10:43:10 [core.py:710] File "/aisoft/conda/env/vllm2/lib/python3.10/site-packages/vllm/v1/engine/core.py", line 701, in run_engine_core
[1;36m(EngineCore_DP0 pid=2738693)[0;0m ERROR 10-10 10:43:10 [core.py:710] engine_core.run_busy_loop()
[1;36m(EngineCore_DP0 pid=2738693)[0;0m ERROR 10-10 10:43:10 [core.py:710] File "/aisoft/conda/env/vllm2/lib/python3.10/site-packages/vllm/v1/engine/core.py", line 728, in run_busy_loop
[1;36m(EngineCore_DP0 pid=2738693)[0;0m ERROR 10-10 10:43:10 [core.py:710] self._process_engine_step()
[1;36m(EngineCore_DP0 pid=2738693)[0;0m ERROR 10-10 10:43:10 [core.py:710] File "/aisoft/conda/env/vllm2/lib/python3.10/site-packages/vllm/v1/engine/core.py", line 754, in _process_engine_step
[1;36m(EngineCore_DP0 pid=2738693)[0;0m ERROR 10-10 10:43:10 [core.py:710] outputs, model_executed = self.step_fn()
[1;36m(EngineCore_DP0 pid=2738693)[0;0m ERROR 10-10 10:43:10 [core.py:710] File "/aisoft/conda/env/vllm2/lib/python3.10/site-packages/vllm/v1/engine/core.py", line 283, in step
[1;36m(EngineCore_DP0 pid=2738693)[0;0m ERROR 10-10 10:43:10 [core.py:710] scheduler_output = self.scheduler.schedule()
[1;36m(EngineCore_DP0 pid=2738693)[0;0m ERROR 10-10 10:43:10 [core.py:710] File "/aisoft/conda/env/vllm2/lib/python3.10/site-packages/vllm/v1/core/sched/scheduler.py", line 359, in schedule
[1;36m(EngineCore_DP0 pid=2738693)[0;0m ERROR 10-10 10:43:10 [core.py:710] if structured_output_req and structured_output_req.grammar:
[1;36m(EngineCore_DP0 pid=2738693)[0;0m ERROR 10-10 10:43:10 [core.py:710] File "/aisoft/conda/env/vllm2/lib/python3.10/site-packages/vllm/v1/structured_output/request.py", line 45, in grammar
[1;36m(EngineCore_DP0 pid=2738693)[0;0m ERROR 10-10 10:43:10 [core.py:710] completed = self._check_grammar_completion()
[1;36m(EngineCore_DP0 pid=2738693)[0;0m ERROR 10-10 10:43:10 [core.py:710] File "/aisoft/conda/env/vllm2/lib/python3.10/site-packages/vllm/v1/structured_output/request.py", line 33, in _check_grammar_completion
[1;36m(EngineCore_DP0 pid=2738693)[0;0m ERROR 10-10 10:43:10 [core.py:710] self._grammar = self._grammar.result(timeout=0.0001)
[1;36m(EngineCore_DP0 pid=2738693)[0;0m ERROR 10-10 10:43:10 [core.py:710] File "/aisoft/conda/env/vllm2/lib/python3.10/concurrent/futures/_base.py", line 458, in result
[1;36m(EngineCore_DP0 pid=2738693)[0;0m ERROR 10-10 10:43:10 [core.py:710] return self.__get_result()
[1;36m(EngineCore_DP0 pid=2738693)[0;0m ERROR 10-10 10:43:10 [core.py:710] File "/aisoft/conda/env/vllm2/lib/python3.10/concurrent/futures/_base.py", line 403, in __get_result
[1;36m(EngineCore_DP0 pid=2738693)[0;0m ERROR 10-10 10:43:10 [core.py:710] raise self._exception
[1;36m(EngineCore_DP0 pid=2738693)[0;0m ERROR 10-10 10:43:10 [core.py:710] File "/aisoft/conda/env/vllm2/lib/python3.10/concurrent/futures/thread.py", line 58, in run
[1;36m(EngineCore_DP0 pid=2738693)[0;0m ERROR 10-10 10:43:10 [core.py:710] result = self.fn(*self.args, **self.kwargs)
[1;36m(EngineCore_DP0 pid=2738693)[0;0m ERROR 10-10 10:43:10 [core.py:710] File "/aisoft/conda/env/vllm2/lib/python3.10/site-packages/vllm/v1/structured_output/__init__.py", line 128, in _async_create_grammar
[1;36m(EngineCore_DP0 pid=2738693)[0;0m ERROR 10-10 10:43:10 [core.py:710] key = request.structured_output_request.structured_output_key # type: ignore[union-attr]
[1;36m(EngineCore_DP0 pid=2738693)[0;0m ERROR 10-10 10:43:10 [core.py:710] File "/aisoft/conda/env/vllm2/lib/python3.10/functools.py", line 981, in __get__
[1;36m(EngineCore_DP0 pid=2738693)[0;0m ERROR 10-10 10:43:10 [core.py:710] val = self.func(instance)
[1;36m(EngineCore_DP0 pid=2738693)[0;0m ERROR 10-10 10:43:10 [core.py:710] File "/aisoft/conda/env/vllm2/lib/python3.10/site-packages/vllm/v1/structured_output/request.py", line 58, in structured_output_key
[1;36m(EngineCore_DP0 pid=2738693)[0;0m ERROR 10-10 10:43:10 [core.py:710] return get_structured_output_key(self.sampling_params)
[1;36m(EngineCore_DP0 pid=2738693)[0;0m ERROR 10-10 10:43:10 [core.py:710] File "/aisoft/conda/env/vllm2/lib/python3.10/site-packages/vllm/v1/structured_output/request.py", line 86, in get_structured_output_key
[1;36m(EngineCore_DP0 pid=2738693)[0;0m ERROR 10-10 10:43:10 [core.py:710] raise ValueError("No valid structured output parameter found")
[1;36m(EngineCore_DP0 pid=2738693)[0;0m ERROR 10-10 10:43:10 [core.py:710] ValueError: No valid structured output parameter found
[1;36m(EngineCore_DP0 pid=2738693)[0;0m Process EngineCore_DP0:
[1;36m(EngineCore_DP0 pid=2738693)[0;0m Traceback (most recent call last):
[1;36m(APIServer pid=2738423)[0;0m ERROR 10-10 10:43:10 [async_llm.py:480] AsyncLLM output_handler failed.
[1;36m(APIServer pid=2738423)[0;0m ERROR 10-10 10:43:10 [async_llm.py:480] Traceback (most recent call last):
[1;36m(APIServer pid=2738423)[0;0m ERROR 10-10 10:43:10 [async_llm.py:480] File "/aisoft/conda/env/vllm2/lib/python3.10/site-packages/vllm/v1/engine/async_llm.py", line 439, in output_handler
[1;36m(APIServer pid=2738423)[0;0m ERROR 10-10 10:43:10 [async_llm.py:480] outputs = await engine_core.get_output_async()
[1;36m(APIServer pid=2738423)[0;0m ERROR 10-10 10:43:10 [async_llm.py:480] File "/aisoft/conda/env/vllm2/lib/python3.10/site-packages/vllm/v1/engine/core_client.py", line 846, in get_output_async
[1;36m(APIServer pid=2738423)[0;0m ERROR 10-10 10:43:10 [async_llm.py:480] raise self._format_exception(outputs) from None
[1;36m(APIServer pid=2738423)[0;0m ERROR 10-10 10:43:10 [async_llm.py:480] vllm.v1.engine.exceptions.EngineDeadError: EngineCore encountered an issue. See stack trace (above) for the root cause.
[1;36m(EngineCore_DP0 pid=2738693)[0;0m File "/aisoft/conda/env/vllm2/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap
[1;36m(EngineCore_DP0 pid=2738693)[0;0m self.run()
[1;36m(EngineCore_DP0 pid=2738693)[0;0m File "/aisoft/conda/env/vllm2/lib/python3.10/multiprocessing/process.py", line 108, in run
[1;36m(EngineCore_DP0 pid=2738693)[0;0m self._target(*self._args, **self._kwargs)
[1;36m(EngineCore_DP0 pid=2738693)[0;0m File "/aisoft/conda/env/vllm2/lib/python3.10/site-packages/vllm/v1/engine/core.py", line 712, in run_engine_core
[1;36m(EngineCore_DP0 pid=2738693)[0;0m raise e
[1;36m(EngineCore_DP0 pid=2738693)[0;0m File "/aisoft/conda/env/vllm2/lib/python3.10/site-packages/vllm/v1/engine/core.py", line 701, in run_engine_core
[1;36m(EngineCore_DP0 pid=2738693)[0;0m engine_core.run_busy_loop()
[1;36m(EngineCore_DP0 pid=2738693)[0;0m File "/aisoft/conda/env/vllm2/lib/python3.10/site-packages/vllm/v1/engine/core.py", line 728, in run_busy_loop
[1;36m(EngineCore_DP0 pid=2738693)[0;0m self._process_engine_step()
[1;36m(EngineCore_DP0 pid=2738693)[0;0m File "/aisoft/conda/env/vllm2/lib/python3.10/site-packages/vllm/v1/engine/core.py", line 754, in _process_engine_step
[1;36m(EngineCore_DP0 pid=2738693)[0;0m outputs, model_executed = self.step_fn()
[1;36m(EngineCore_DP0 pid=2738693)[0;0m File "/aisoft/conda/env/vllm2/lib/python3.10/site-packages/vllm/v1/engine/core.py", line 283, in step
[1;36m(EngineCore_DP0 pid=2738693)[0;0m scheduler_output = self.scheduler.schedule()
[1;36m(EngineCore_DP0 pid=2738693)[0;0m File "/aisoft/conda/env/vllm2/lib/python3.10/site-packages/vllm/v1/core/sched/scheduler.py", line 359, in schedule
[1;36m(EngineCore_DP0 pid=2738693)[0;0m if structured_output_req and structured_output_req.grammar:
[1;36m(EngineCore_DP0 pid=2738693)[0;0m File "/aisoft/conda/env/vllm2/lib/python3.10/site-packages/vllm/v1/structured_output/request.py", line 45, in grammar
[1;36m(EngineCore_DP0 pid=2738693)[0;0m completed = self._check_grammar_completion()
[1;36m(EngineCore_DP0 pid=2738693)[0;0m File "/aisoft/conda/env/vllm2/lib/python3.10/site-packages/vllm/v1/structured_output/request.py", line 33, in _check_grammar_completion
[1;36m(EngineCore_DP0 pid=2738693)[0;0m self._grammar = self._grammar.result(timeout=0.0001)
[1;36m(EngineCore_DP0 pid=2738693)[0;0m File "/aisoft/conda/env/vllm2/lib/python3.10/concurrent/futures/_base.py", line 458, in result
[1;36m(EngineCore_DP0 pid=2738693)[0;0m return self.__get_result()
[1;36m(EngineCore_DP0 pid=2738693)[0;0m File "/aisoft/conda/env/vllm2/lib/python3.10/concurrent/futures/_base.py", line 403, in __get_result
[1;36m(EngineCore_DP0 pid=2738693)[0;0m raise self._exception
[1;36m(EngineCore_DP0 pid=2738693)[0;0m File "/aisoft/conda/env/vllm2/lib/python3.10/concurrent/futures/thread.py", line 58, in run
[1;36m(EngineCore_DP0 pid=2738693)[0;0m result = self.fn(*self.args, **self.kwargs)
[1;36m(EngineCore_DP0 pid=2738693)[0;0m File "/aisoft/conda/env/vllm2/lib/python3.10/site-packages/vllm/v1/structured_output/__init__.py", line 128, in _async_create_grammar
[1;36m(EngineCore_DP0 pid=2738693)[0;0m key = request.structured_output_request.structured_output_key # type: ignore[union-attr]
[1;36m(EngineCore_DP0 pid=2738693)[0;0m File "/aisoft/conda/env/vllm2/lib/python3.10/functools.py", line 981, in __get__
[1;36m(EngineCore_DP0 pid=2738693)[0;0m val = self.func(instance)
[1;36m(EngineCore_DP0 pid=2738693)[0;0m File "/aisoft/conda/env/vllm2/lib/python3.10/site-packages/vllm/v1/structured_output/request.py", line 58, in structured_output_key
[1;36m(EngineCore_DP0 pid=2738693)[0;0m return get_structured_output_key(self.sampling_params)
[1;36m(EngineCore_DP0 pid=2738693)[0;0m File "/aisoft/conda/env/vllm2/lib/python3.10/site-packages/vllm/v1/structured_output/request.py", line 86, in get_structured_output_key
[1;36m(EngineCore_DP0 pid=2738693)[0;0m raise ValueError("No valid structured output parameter found")
[1;36m(EngineCore_DP0 pid=2738693)[0;0m ValueError: No valid structured output parameter found
[1;36m(APIServer pid=2738423)[0;0m ERROR 10-10 10:43:10 [serving_chat.py:1145] Error in chat completion stream generator.
[1;36m(APIServer pid=2738423)[0;0m ERROR 10-10 10:43:10 [serving_chat.py:1145] Traceback (most recent call last):
[1;36m(APIServer pid=2738423)[0;0m ERROR 10-10 10:43:10 [serving_chat.py:1145] File "/aisoft/conda/env/vllm2/lib/python3.10/site-packages/vllm/entrypoints/openai/serving_chat.py", line 574, in chat_completion_stream_generator
[1;36m(APIServer pid=2738423)[0;0m ERROR 10-10 10:43:10 [serving_chat.py:1145] async for res in result_generator:
[1;36m(APIServer pid=2738423)[0;0m ERROR 10-10 10:43:10 [serving_chat.py:1145] File "/aisoft/conda/env/vllm2/lib/python3.10/site-packages/vllm/v1/engine/async_llm.py", line 387, in generate
[1;36m(APIServer pid=2738423)[0;0m ERROR 10-10 10:43:10 [serving_chat.py:1145] out = q.get_nowait() or await q.get()
[1;36m(APIServer pid=2738423)[0;0m ERROR 10-10 10:43:10 [serving_chat.py:1145] File "/aisoft/conda/env/vllm2/lib/python3.10/site-packages/vllm/v1/engine/output_processor.py", line 59, in get
[1;36m(APIServer pid=2738423)[0;0m ERROR 10-10 10:43:10 [serving_chat.py:1145] raise output
[1;36m(APIServer pid=2738423)[0;0m ERROR 10-10 10:43:10 [serving_chat.py:1145] File "/aisoft/conda/env/vllm2/lib/python3.10/site-packages/vllm/v1/engine/async_llm.py", line 439, in output_handler
[1;36m(APIServer pid=2738423)[0;0m ERROR 10-10 10:43:10 [serving_chat.py:1145] outputs = await engine_core.get_output_async()
[1;36m(APIServer pid=2738423)[0;0m ERROR 10-10 10:43:10 [serving_chat.py:1145] File "/aisoft/conda/env/vllm2/lib/python3.10/site-packages/vllm/v1/engine/core_client.py", line 846, in get_output_async
[1;36m(APIServer pid=2738423)[0;0m ERROR 10-10 10:43:10 [serving_chat.py:1145] raise self._format_exception(outputs) from None
[1;36m(APIServer pid=2738423)[0;0m ERROR 10-10 10:43:10 [serving_chat.py:1145] vllm.v1.engine.exceptions.EngineDeadError: EngineCore encountered an issue. See stack trace (above) for the root cause.
[rank0]:[W1010 10:43:10.666166970 ProcessGroupNCCL.cpp:1538] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
[1;36m(APIServer pid=2738423)[0;0m INFO: Shutting down
[1;36m(APIServer pid=2738423)[0;0m INFO: Waiting for application shutdown.
[1;36m(APIServer pid=2738423)[0;0m INFO: Application shutdown complete.
[1;36m(APIServer pid=2738423)[0;0m INFO: Finished server process [2738423]