Loading time is high and returns unnecessary warnings when rendering pydantic models at startup in docker

[TejasAmbhore]

I am using vapi sdk to import some pydantic models - AssistantOverrides, CreateSquadDto, CreateCustomerDto, ImportTwilioPhoneNumberDto, SquadMemberDto
It works fine when i do a normal uvicorn main.py, but when using docker-compose we get the following warnings and it takes around 7 seconds to load the library at startup

[SolomidHero]

I have same problem. Vapi loading is more than 10 seconds on serverless aws lambda, so it always fails warm-up.
What could be done to fix it?

[pushpenderrautela]

@fern-support We're hitting this same issue and the impact is severe enough that it's actively blocking our production operations:

• App readiness time has gone from seconds to over 2 minutes purely due to the SDK's import cost.
• Rolling deployments now take 30+ minutes while the service is scaled out, which significantly extends our exposure window during releases.
• This affects our ability to autoscale, recover from incidents, and ship fixes quickly — all critical to a production service.

Could the maintainers please prioritize this, or share guidance on a workaround in the meantime (e.g. lazy-loading the heavy models, splitting imports, or skipping the upfront Pydantic validation cost at startup)?

Happy to help test a fix or contribute a PR if there's a direction the team would like to take.