Question 1

How much does DoctorGPT cost to run with GPT-4?

Accepted Answer

Costs depend on OpenAI's pricing for token usage, configured via `--maxtokens` and `--gptmodel` flags; for high-error volumes, this can add up quickly, so monitor API usage.

Question 2

How do I exclude sensitive data like passwords from DoctorGPT logs?

Accepted Answer

Use the `excludes` section in the YAML config with regex rules to filter out sensitive entries, preventing them from being sent to the GPT API for privacy.

Question 3

Can DoctorGPT handle JSON structured logs from modern apps?

Accepted Answer

Not directly; the README lists structured logging parsing as future work, so you'd need to write custom regex parsers for now, which can be complex.

Question 4

DoctorGPT vs traditional log monitoring like ELK Stack: which is better?

Accepted Answer

DoctorGPT excels at AI-driven diagnosis for specific errors, while ELK offers broader analytics and scalability; use DoctorGPT for quick insights, but rely on ELK for production-grade monitoring.

Question 5

How to set up DoctorGPT for Apache error logs?

Accepted Answer

Use the provided Apache parser in the config.yaml library, adjust the `--logfile` path to your error log, and ensure triggers match error levels like 'ERROR' for automatic diagnosis.

Question 6

Is DoctorGPT suitable for high-volume log files with thousands of entries?

Accepted Answer

It buffers logs (default 100 entries) and uses timeouts, but high volume may lead to missed context or API rate limits; test with `--buffersize` adjustments.

Question 7

What happens if the OpenAI API is down while using DoctorGPT?

Accepted Answer

Diagnoses will fail silently or error out, as there's no built-in retry or fallback mechanism mentioned, so it's not reliable for uninterrupted monitoring.

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