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e3eed3a3ae |
Keep browser startup explicitly opt-in (#12435)
## Thinking Path > - Paperclip is the open source app people use to manage AI agents for work. > - The CLI can save a configuration and start the local server in one command. > - The onboarding path set a browser-open environment variable without an explicit user request. > - Headless test servers use the same onboarding path. > - Each server restart could therefore open a system browser. > - This pull request removes the implicit browser-open request and fixes test servers to disable it explicitly. > - The benefit is predictable foreground and test startup without unsolicited browser windows. ## Linked Issues or Issue Description This is stack 11 of 11. It depends on stack 10. **What happened?** `paperclipai onboard --yes --run` set `PAPERCLIP_OPEN_ON_LISTEN=true`. Headless server users, including browser test runners, opened the system browser on each server restart. **Expected behavior** Server startup must not open a browser unless the caller explicitly sets `PAPERCLIP_OPEN_ON_LISTEN=true`. **Steps to reproduce** 1. Run `paperclipai onboard --yes --run` from a clean source checkout. 2. Wait for the server to listen. 3. Observe that the default system browser opens. **Paperclip version or commit** Reproduced on `dbf052577` plus the dependent stack. **Deployment mode** Local dev from source. ## What Changed - Stop onboarding from setting `PAPERCLIP_OPEN_ON_LISTEN=true` for foreground startup. - Set `PAPERCLIP_OPEN_ON_LISTEN=false` in E2E and issue-detail performance test servers as defense in depth. - Preserve the existing explicit environment opt-in in the server. ## Verification - `pnpm exec vitest run cli/src/__tests__/onboard.test.ts` — 10 tests passed. - `pnpm --filter paperclipai typecheck` — passed. - `pnpm -r typecheck` — passed on the stacked head. - `pnpm build` — passed on the stacked head. - Playwright was not run locally by request. ## Risks - Low risk. The only behavior change removes an unsolicited side effect. - A caller that wants browser startup can still set `PAPERCLIP_OPEN_ON_LISTEN=true` explicitly. - No database or migration change exists in this layer. > For core feature work, check [`ROADMAP.md`](ROADMAP.md) first and discuss it in `#dev` before opening the PR. Feature PRs that overlap with planned core work may need to be redirected — check the roadmap first. See `CONTRIBUTING.md`. ## Model Used - OpenAI Codex, GPT-5. The exact deployment suffix and context window are not exposed. The model used reasoning, repository tools, code execution, Git, and GitHub API access. ## 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 |
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2494a2a0fe |
perf: add repeatable issue-detail baseline rig (#10409)
## Thinking Path > - Paperclip is the open source app people use to manage AI agents for work > - The issue detail page is a core operator surface where perceived latency directly affects task navigation > - Performance work needs repeatable evidence so later optimizations can be compared against the same scenarios > - The page did not expose stable user-timing marks for its header or first useful content > - There was also no isolated seeded browser rig that measured warm navigation, cold deep links, waterfalls, or server time > - This pull request adds the instrumentation and a one-command Playwright baseline harness > - The benefit is that issue-page performance changes can be validated with reproducible median measurements instead of anecdotes ## Linked Issues or Issue Description **Subsystem affected** Cross-cutting: `ui/`, `server/`, and browser performance tooling. **Problem or motivation** The issue detail page performs a large client bootstrap and request fan-out, but the repository lacks stable user-timing boundaries and a repeatable benchmark. That makes performance changes difficult to compare and allows regressions to be judged from anecdotes instead of consistent evidence. **Proposed solution** Add stable header/content paint measures, development/QA-only lifecycle vital reporting, aggregate server timing for the issue endpoint, and a seeded Playwright command that runs warm/cold scenarios under throttled and unthrottled profiles with N≥5 median reporting. **Alternatives considered** Ad hoc DevTools recordings were rejected because they are not repeatable or reviewable. Production telemetry was rejected because this baseline should not change production data collection. A unit-only harness was rejected because it cannot capture browser bootstrap, rendering, and network waterfall costs. **Roadmap alignment** The roadmap calls for agent performance to be measurable over time. This change applies that evidence-first principle to a core operator page and does not duplicate a listed roadmap deliverable. **Additional context** The generated report includes warm and cold medians, TTFB/FCP/LCP where applicable, request and byte totals before first useful content, JavaScript bytes, and issue endpoint server timing. ## What Changed - Added `issue-detail:navigate→header-paint` and `issue-detail:navigate→content-paint` user-timing measures to the issue detail page. - Added development/QA-only TTFB, LCP, and INP console reporting without production telemetry delivery. - Added `Server-Timing` for `GET /api/issues/:id`. - Added `pnpm exec playwright test --config tests/perf/issue-detail/playwright.config.ts`, which seeds an isolated instance and runs N≥5 warm/cold samples under unthrottled and Fast 4G/4x CPU profiles. - Added Markdown, raw JSON, and Chrome-trace outputs with median baseline tables and waterfall data. ## Verification - `pnpm --filter @paperclipai/ui typecheck` - `pnpm --filter @paperclipai/server typecheck` - `pnpm check:token-gates` - `npx playwright test --config tests/perf/issue-detail/playwright.config.ts --list` - `pnpm exec playwright test --config tests/perf/issue-detail/playwright.config.ts` — passed 20 samples in 9.4 minutes (5 runs × 2 scenarios × 2 profiles) for the baseline; post-review integrity reruns also exercised the corrected paths, while this shared runner intermittently killed Chromium processes, so the rig now performs one bounded browser-crash retry per sample. - Baseline medians: warm unthrottled 278/447 ms header/content; cold unthrottled 646/646 ms; warm throttled 1240/2060 ms; cold throttled 3932/3933 ms. ## Risks - Low product risk: the new browser measurements are development/QA tooling and the UI timing work does not change visible layout. - `Server-Timing` exposes only aggregate handler duration, not query contents or private identifiers. - Native INP reporting uses supported browser event timing entries and silently no-ops where unsupported. > For core feature work, check [`ROADMAP.md`](ROADMAP.md) first and discuss it in `#dev` before opening the PR. Feature PRs that overlap with planned core work may need to be redirected — check the roadmap first. See `CONTRIBUTING.md`. ## Model Used - OpenAI Codex, GPT-5.4, tool-assisted coding and browser execution with reasoning enabled; context-window size is not exposed in this environment. ## 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> Co-authored-by: Dev Agent <dev@paperclip.ing> |