Honcho OSS Refactor Separates DB Sessions from Slow LLM and Embedding Calls

The open-source AI memory project Honcho introduced a architectural change in PR #477 to stop holding database connections open during slow external calls to LLMs and embedding APIs. Previously, the dialectic query path kept a single database session active from the initial preflight reads all the way through agent execution, including network-bound LLM inference. The refactor splits this into short, scoped database operations — a brief preflight session for setup reads, followed by session closure before any external network calls begin. Individual tools now open their own short-lived database sessions only when needed, rather than sharing one session across the entire request lifecycle. The change aims to reduce unnecessary connection pool occupancy, while acknowledging trade-offs such as potential detached ORM object errors and the need to carefully define consistency boundaries between separate transactions.