A Faster Librarian

The Librarian is now ~3x faster and 43% cheaper, with the same quality. It now runs on GPT-5.5 (no reasoning) with websocket mode and an updated system prompt that encourages more parallel exploration. The Librarian fires ~8 tool calls in parallel per turn, up from ~3 with Sonnet, and wraps up a search in ~5 turns instead of ~15. In our internal eval, about a quarter of that speedup comes from OpenAI's websocket mode and the rest from switching to GPT-5.5 with no reasoning: Sonnet-4.6 (medium) GPT-5.5 (none) Latency (mean) 237s 81s (2.9x faster) ↳ gain from websocket — ~1.3x ↳ gain from model — ~2.2x Quality (F1, mean) 0.47 0.48 Average cost $1.21 $0.69 Here's a comparison: How does Kubernetes' HorizontalPodAutoscaler handle missing pod metrics when scaling down — does it assume missing pods are at 100% of their resource requests, or 100% of the target utilization? Cite the function and logic in the source. Sonnet 4.6 (left) took 2 minutes and cost $1.08, while GPT-5.5 (right) took 40 seconds and cost just $0.47.