* test(open-swe): add Playwright E2E for the Slack → PR → web handoff
Local, secrets-free end-to-end suite that drives the full happy path through mock Slack/GitHub control panels and the real dashboard UI. Only the LLM and external SaaS HTTP boundaries (GitHub/Slack APIs, OAuth token mint) are faked — the real process_slack_mention, get_agent, deepagents loop, tools, middleware, and dashboard authorization all run under `langgraph dev` with a scripted fake chat model and a local temp-dir sandbox.
- full_flow: a Slack mention runs the agent, which implements a change in the sandbox, opens a PR against a fake GitHub remote, and replies with the PR link in the same thread.
- dashboard: clicking the bot's real "Open in Web" link loads the built ui/ app (served same-origin); the thread owner can continue the conversation, while a different user sees the same thread read-only (no composer).
Wired into Agent CI as a `Playwright E2E` job that runs on pull requests.
* fix(open-swe): serve E2E UI assets via explicit route; pin Playwright
The dashboard E2E served the built ui/ SPA's /assets via app.mount(StaticFiles), but LangGraph's custom-app loader serves APIRoutes and drops sub-app Mounts, so /assets 404'd under `langgraph dev` in CI — the React app never booted and the composer/transcript never rendered. Serve assets via an explicit route instead.
Also pin @playwright/test to the latest (1.61.0) for reproducible runs, and make the owner composer assertion tolerant of either hydration state.
* test(open-swe): record Playwright trace + video on every E2E run
Capture a replayable trace (DOM snapshots, network, console, source) and a screen recording for every test, not just retries, plus a screenshot on failure. The CI job already uploads playwright-report/ and test-results/, so each run now has a downloadable replay; documented how to open it.
* Run reviewer eval in a GitHub Action; make dashboard a read-only progress view
The dashboard launched the eval as a subprocess inside the serving deployment
worker, so a container recycle killed long runs and discarded results that had
already completed server-side. Move the harness to a workflow_dispatch Action
(run on prod). run_eval now publishes status/progress/log-tail to the LangGraph
store record the dashboard reads, so /admin/evals stays a live view; a killed
Action surfaces as failed via the stale-heartbeat reconcile.
* reviewer_eval workflow: pass inputs via env, no shell interpolation
Addresses the reviewer finding: workflow_dispatch string inputs were
interpolated into the run: block (limit unquoted), allowing shell injection in
a job holding LANGSMITH/ANTHROPIC keys. Pass inputs through env and reference
quoted "$VARS"; validate limit is numeric and build its flag in bash.
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Co-authored-by: open-swe[bot] <open-swe@users.noreply.github.com>
Adds a scheduled workflow that force-pushes main onto a prod branch at
08:00 UTC (midnight PST / 1am PDT). The LangGraph deployment will track
prod instead of main, so routine merges no longer trigger redeploys
that cancel in-flight 30-minute coding runs. workflow_dispatch is
retained for hotfixes that need to ship immediately.
