Would a DDM be a viable approach for my response time data?

[tankenot]

Hi, I am new to DDMs and I'm curious to understand whether it would be a suitable model for my data. My data consists of response times to a warning, and in all cases my subjects respond to the warning in the same way but with different times. My goal would be to understand if there are differences in for example non-decision times, drift rates for two different warnings (two conditions). If I understand correctly, this task would be considered a "one-choice" task? Is it possible to use PyDDm for such tasks? In addition, I typically have few trials per test subject, in some cases only one. How does that affect using a DDM?
I hope this is clear & thanks in advance!