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## Thinking Path > - Paperclip is the open source app people use to manage AI agents for work > - The Daytona sandbox adapter spends time on repeated per-exec sandbox lookups during a lease > - That repeated lookup is pure overhead once the started sandbox handle is already known and trusted for the lease > - The adapter still needs strict isolation and fail-closed behavior because the handle is an authenticated compute object, not an inert value > - This pull request memoizes the started sandbox handle per lease in a process-scoped cache, and now advances freshness only after successful reuse so failed commands cannot suppress stale-handle refreshes > - The benefit is lower provider-get latency on the hot path while keeping resume safety, teardown safety, and observability intact ## Linked Issues or Issue Description This is a Daytona performance fix, not a standalone public GitHub issue. ### Problem / Motivation - Repeated `client.get(sandboxId)` calls on the sandbox hot path re-fetch a handle that is already started and trusted for the current lease. - The extra provider round-trip is pure overhead on repeated exec, sync, resume, and interactive-cancel flows. - Cache freshness also has to be tied to successful reuse, or a failed command can make a stale sandbox look freshly used. ### Proposed Solution - Cache the started `Sandbox` handle in process memory, keyed by a non-secret composite lease scope. - Enforce strict identity checks and eviction on release, destroy, interactive cancel, and resume-sentinel mismatch. - Block teardown cleanup until active lease operations finish so delete/stop cannot race in-flight execute or sync work. - Advance freshness only after successful execute, sync, or resume reuse, so failed operations do not mask an auto-stopped sandbox. - Preserve `getDurationMs` in exec metadata so provider-get latency remains observable. ### Alternatives Considered - Keep fetching the sandbox on every exec path. - Cache only by bare lease id. ### Roadmap Alignment - This change is part of the Daytona performance work and narrows per-call overhead without changing the public adapter contract. ## What Changed - Memoized the started Daytona `Sandbox` handle in a process-scoped cache keyed by a composite lease scope. - Added fail-closed identity checks so cache hits and single-flight populate paths reject mismatched sandbox ids. - Evicted cached handles on release, destroy, interactive cancel, and resume sentinel mismatch. - Blocked release, destroy, and interactive cancel teardown cleanup until active lease operations drain. - Advanced cache freshness only after successful execute, sync, and resume reuse. - Kept `getDurationMs` in exec metadata so provider-get latency remains observable. - Expanded the Daytona plugin tests to cover same-lease reuse, cross-scope isolation, eviction paths, rejected populate handling, concurrent single-flight behavior, cached-resume sentinel revalidation, teardown cancellation safety, and failed-execute freshness handling. ## Verification - `pnpm exec vitest run --config vitest.config.ts` in `packages/plugins/sandbox-providers/daytona` — 81/81 passing, including the teardown-cancel, snapshot-capture, syncIn-cancel, and failed-execute freshness regressions. - `git rev-parse origin/perf/daytona-sandbox-handle-cache` matched the authorized submit SHA `528158f998fa88bb0748300f156b38d86d6589cd` before the fixup commits. - `git log --oneline origin/master..origin/perf/daytona-sandbox-handle-cache` shows the expected focused Daytona changes. - GitHub duplicate/related PR search and ROADMAP review were completed before opening the PR. - Remote CI and Greptile completed successfully after this description was updated; the PR is now ready for board handoff. ## Risks - The cache is process-scoped, so correctness depends on the eviction paths staying complete. - A bug in the scope key or identity checks could leak reuse across the wrong lease boundaries, but the implementation fails closed on id mismatches. - Teardown now waits for active operations to drain, so any missed activity bookkeeping could delay cleanup instead of racing it. - Freshness updates now happen after success, which is safer, but it means any missed success-path call would trigger an extra refresh rather than silently masking staleness. ## Model Used OpenAI GPT-5 via Codex, tool-using coding agent; exact context window not surfaced in the workspace. ## Checklist - [x] I have included a thinking path that traces from project context to this change - [x] I have specified the model used (with version and capability details) - [x] I have checked ROADMAP.md and confirmed this PR does not duplicate planned core work - [x] I have searched GitHub for duplicate or related PRs and linked them above - [x] I have either (a) linked existing issues with `Fixes: #` / `Closes #` / `Refs #` OR (b) described the issue in-PR following the relevant issue template - [x] I have not referenced internal/instance-local Paperclip issues or links (only public GitHub `#NNN` / `github.com/paperclipai/paperclip` URLs) - [x] My branch name describes the change (e.g. `docs/...`, `fix/...`) and contains no internal Paperclip ticket id or instance-derived details - [x] I have run tests locally and they pass - [x] I have added or updated tests where applicable - [x] I have updated relevant documentation to reflect my changes - [x] I have considered and documented any risks above - [x] All Paperclip CI gates are green - [x] Greptile is 5/5 with no open P2s, recommendations, or follow-ups - [x] I will address all Greptile and reviewer comments before requesting merge --------- Co-authored-by: Paperclip <noreply@paperclip.ing>