* feat: activate PR babysitting UI toggles for autofix and trigger mode
Remove the "coming soon" gating on the Autofix Mode, Autofix Severity
Threshold, and Trigger Mode controls in the review settings page so
admins can enable CI auto-fix and review-comment resolution on PRs
that Open SWE opens. The backend (ci_autofix.py, webapp.py webhook
routing) was already fully wired — only the UI was disabled.
Co-authored-by: open-swe[bot] <open-swe@users.noreply.github.com>
* feat: simplify autofix to on/off toggle, remove severity threshold
Replace the four-level AutofixMode (off/low/medium/high) and the
autofix_severity_threshold setting with a single boolean
autofix_enabled toggle. The severity threshold was leftover from the
reviewer finding-severity model and does not apply to CI autofix;
the agent should fix any failing CI and resolve any comments on PRs
it opens.
Co-authored-by: open-swe[bot] <open-swe@users.noreply.github.com>
* feat: move autofix toggle to per-user profile, remove team-level setting
The autofix toggle is now per-user (auto_fix_ci in the user profile)
instead of team-level (admin-only). This uses the existing auto_fix_ci
field that was already in ProfileUpdate but never wired up.
Changes:
- ci_autofix.py: check per-user auto_fix_ci profile flag after
resolving the agent thread's github_login, instead of checking
team-level autofix_enabled before knowing the PR
- webapp.py: removed early is_autofix_enabled() webhook gates; the
per-user check now happens in ci_autofix.py once the thread is found
- team_settings.py: removed autofix_enabled field, is_autofix_enabled()
- cloud-agents.tsx: enabled the auto_fix_ci toggle (was comingSoon)
- review.tsx: removed the admin-level autofix switch
- Updated tests and AGENTS.md
The agent graph (not the reviewer) is what gets dispatched - this was
already correct in ci_autofix.py line 223: client.runs.create(
thread_id, "agent", ...).
Co-authored-by: open-swe[bot] <open-swe@users.noreply.github.com>
* feat: batch PR babysitting events
Remove the leftover trigger-mode gate from PR babysitting and batch new CI/review events while an agent run is already active so the running agent can handle the latest PR state before finishing. Also moves review-feedback permission checks behind the per-user opt-out and applies the auto-fix profile gate to merge-conflict babysitting.
Co-authored-by: open-swe[bot] <open-swe@users.noreply.github.com>
* fix: consume batched babysitting events
Teach the agent queue middleware to turn pending PR babysitting metadata into an injected instruction for the active run, so batched CI/review events are not dropped while still avoiding duplicate run creation.
Co-authored-by: open-swe[bot] <open-swe@users.noreply.github.com>
* fix: address review findings in PR babysitting batching
- Route batched events through the LangGraph store (read in-process by the
message-queue middleware) instead of a per-model-call threads.get on every
agent thread.
- Only record an attempt / mark the head SHA handled on a real dispatch, not
on a batch, so an event isn't permanently dropped if the in-flight run ends
before consuming it.
- Carry the reviewer's comment through batched review feedback instead of
replacing it with a generic re-check nudge.
---------
Co-authored-by: open-swe[bot] <open-swe@users.noreply.github.com>
Remove the hardcoded "call a tool every turn" instruction from the system
prompt and delete the ensure_no_empty_msg middleware that re-injected no_op /
confirming_completion tool calls. The agent now ends its turn naturally when
the model emits a final message with no tool call, which avoids needlessly
extending trajectories (and token spend) on tasks that are already complete.
Co-authored-by: open-swe[bot] <open-swe@users.noreply.github.com>
* feat: CI auto-fix and PR babysitting for agent PRs
Watch CI failures and review feedback on PRs Open SWE opened, then dispatch
confidence-gated fix runs on the originating agent thread. Adds CI webhook
ingestion (check_run/check_suite/workflow_run/status), a per-PR @open-swe
autofix on|off toggle, auto-response to review comments, and a polling
ci_monitor graph that also flags merge conflicts. Gated by the existing
autofix_mode/trigger_mode settings, the enabled-repos opt-in, base-branch and
human-commit skip rules, dedupe, and a per-PR attempt cap.
Co-authored-by: open-swe[bot] <open-swe@users.noreply.github.com>
* fix: address review feedback on CI auto-fix
- Security: gate the no-mention review-feedback path on author trust —
require a trusted author_association (OWNER/MEMBER/COLLABORATOR) plus a
GitHub write/maintain/admin permission check before dispatching a
write-capable agent run, preventing privilege escalation from
read/triage/outside reviewers.
- Auth: reuse the originating PR thread's source + login/email when
dispatching fix runs so the GitHub-token resolver authenticates them in
non-bot-token deployments (bespoke github_ci source failed to resolve).
- Docs: document the Commit statuses: Read-only permission required for the
Status webhook event.
Co-authored-by: open-swe[bot] <open-swe@users.noreply.github.com>
---------
Co-authored-by: open-swe[bot] <open-swe@users.noreply.github.com>
* fix: reset stale sandbox creation sentinel
Co-authored-by: Johannes du Plessis <51395795+johannes117@users.noreply.github.com>
* fix: treat SANDBOX_CREATING as a timestamped cross-process lock
Only reset the sentinel when proven stale (older than the creation
timeout); otherwise wait for the worker that holds the lock so a
concurrent run does not create a duplicate sandbox.
* feat(analyzer): outcomes dataset + bootstrap/continual split via skills
Rename the review_style_analyzer graph to `analyzer` and split it into two
modes, plus capture reviewer finding outcomes for continual learning.
- Outcomes dataset: upsert resolved-by-commit (positive), dismissed (false
positive), and GitHub/Slack thumbs findings into a single LangSmith dataset
(openswe-reviewer-outcomes), keyed deterministically per finding+source.
Emit points wired into update_finding, resolve_finding_thread, and the
GitHub/Slack reaction handlers.
- Two playbooks delivered as deepagents skills (bootstrap-repo-analysis,
continual-learning), served as virtual files via a CompositeBackend /skills/
route + StateBackend (seeded into the run files channel at invoke time, never
written to the sandbox). Mode is set by the launcher; continual runs fall
back to the GitHub App installation token.
- Split launcher into start_bootstrap_analysis + start_continual_run; register
a per-repo nightly continual-learning cron when bootstrap completes.
- New read_finding_outcomes tool feeds confirmed/dismissed findings back to the
continual playbook.
Tests for outcome label mapping, skills helper, and cron idempotency.
* fix(analyzer): anchor continual cron runs to a real thread_id
The nightly continual-learning cron is threadless, and get_analyzer
early-returns an empty agent when configurable.thread_id is missing — so
every cron-launched run no-op'd before reading outcomes or saving a refined
prompt. Include the repo's deterministic analyzer thread_id in the continual
run configurable so the run executes; the threadless run carries no message
history, so nightly runs don't accumulate context.
* refactor(analyzer): move cron lifecycle calls out of the review-styles store
Drop the inline `analyzer_cron` imports from review_styles.py (added only to
dodge a circular import) by relocating the cron-trigger calls to the layer
above the store: registration to the save_review_style tool (after a prompt is
saved) and removal to the dashboard delete route. review_styles.py is now a
pure store again with top-level imports only.
* refactor: hoist reviewer_outcomes imports to module level
Move the two inline emit_finding_status_outcome imports introduced in this PR
(update_finding, resolve_finding_thread) to top-level imports. reviewer_outcomes
only depends on langsmith, so there is no circular import to avoid.
---------
Co-authored-by: open-swe[bot] <open-swe@users.noreply.github.com>
Bring the agent-facing docs back in sync with the codebase: the reviewer
and review_style_analyzer graphs, the dashboard router and Agents UI,
auto-review on PR opened/ready_for_review, the current middleware order
in get_agent, model/profile/team-default resolution, and the leaner
reviewer middleware stack.
Co-authored-by: open-swe[bot] <open-swe@users.noreply.github.com>
* feat: move github workflows to gh cli
Use LangSmith proxy auth to support gh-driven GitHub workflows while removing custom GitHub wrapper tools.
* docker ignore + snapshot and docker image updates
* updated image and instructions
* removing open_pr if needed after agent call