Description
Brief Description
Hi guys,
I see that after making dozen of calls the memory consumption keeps growing until it reaches the max container allocation and the server crashes. Ultimately the all terminate() functionality apparently does not clean up everything so there are some memory leaks.
I use Twilio functionality so one of the key elements is vocode/streaming/telephony/server/router/calls.py in there there is phone_conversation = self._from_call_config().. part and then goes deeper...
Are you able to help?
Thanks
Please let me know if you need more details.
LLM
GPT-4
Transcription Services
Microsoft Azure
Synthesis Services
Microsoft Azure
Telephony Services
Twilio
Conversation Type and Platform
No response
Steps to Reproduce
I start the TelephonyServer class for the outboud call.
The class will call - self.router.include_router(
CallsRouter(
Then the following will be called - phone_conversation = self._from_call_config(
Expected Behavior
I use
ps -p <PID> -o vsz=VirtualSize,rss=ResidentSet --no-headers
Here is the incremental memory consumption
Before the call starts - 645572 170564
After the first call - 2810048 291856
After the second call - 3407080 285516
After the third one - 3942660 292036
Screenshots
No response
Activity