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
