I'm currently evaluating PromptLayer for my team's LLM operations, and one of our key requirements is maintaining a complete, portable audit trail of all our prompts and responses. The built-in UI is great for spot-checking, but I need to get the raw data out for our own archives and analysis.
I've looked at the export options and the API docs, but I'm concerned about the practicalities. The `/logs` endpoint seems to be the way, but it's paginated.
* How have others handled exporting a *very* large history (think tens of thousands of requests) without running into rate limits or timeouts?
* Is there a recommended pattern for batching or pacing these requests?
* Does the team provide any bulk export feature or data lake integration (like S3) that isn't immediately obvious from the main dashboard?
For comparison, I've used other platforms that offer a nightly CSV dump to a cloud bucket, which was straightforward. How does PromptLayer's approach compare for large-scale data extraction? I'm trying to understand the workflow before we commit.