I've spent the last month building a 'Variance Scanner' to detect thread-blocking patterns in AI agents.
I ran it against OpenBB (Python-heavy financial tool) and Nautilus Trader (Rust/Python HFT engine).
The results were stark:
- OpenBB: 306 blocking calls (requests.get in main thread). Variance Score: 1602.
- Nautilus: 0 blocking calls. Variance Score: 99.
I call this failure mode 'Hydrostatic Lock' — when an agent hits a network spike and effectively brain-deads for 3+ seconds because of synchronous I/O blocking the GIL.
The repo includes the full forensic audit and the open-source scanner. Happy to answer questions about the methodology or findings.
I ran it against OpenBB (Python-heavy financial tool) and Nautilus Trader (Rust/Python HFT engine).
The results were stark:
- OpenBB: 306 blocking calls (requests.get in main thread). Variance Score: 1602. - Nautilus: 0 blocking calls. Variance Score: 99.
I call this failure mode 'Hydrostatic Lock' — when an agent hits a network spike and effectively brain-deads for 3+ seconds because of synchronous I/O blocking the GIL.
The repo includes the full forensic audit and the open-source scanner. Happy to answer questions about the methodology or findings.