* Replace hardcoded GitHub-email map with Store-backed user mapping
Move the static GITHUB_USER_EMAIL_MAP to a Store-backed bidirectional
mapping (GitHub login <-> work email <-> optional Slack ID) with an
in-process cache, self-service onboarding, and admin management.
- agent/dashboard/user_mappings.py: Store CRUD + login/email/slack-id
indexes, sync cache readers for hot paths, async fallthrough, and a
bulk_import that preserves existing richer records.
- Migrate all read sites (auth.py, agent_overrides.py, authorship.py,
github_comments.py, webapp.py x2) off the dict.
- Unmapped Slack tags now run on the GitHub App installation token
(use_installation_token_fallback) and get an ephemeral "link your
GitHub account" prompt carrying the Slack id + email via a signed
account-link token threaded through the OAuth state.
- OAuth callback completes a self-service (org-gated) mapping from that
token, falling back to the verified GitHub email.
- Admin CRUD endpoints + one-time legacy import; dashboard UI section.
- Legacy dict retained only as the import payload (no longer read).
Tests: mapping store, account-link round-trip + completion, mapped vs
unmapped Slack flows; existing trust-gate tests updated to prime cache.
* Address review: cold-cache email resolution + stale alias de-indexing
- agent_overrides: add resolve_login_from_email_async that falls through to
the Store on a cold cache; use it at the async repo-resolution call sites
(Slack repo config, Linear comment, owner-metadata) so a mapped user still
resolves to their GitHub login + dashboard default_repo on a fresh worker.
- user_mappings.upsert_mapping: de-index the existing login before re-indexing
so a changed email/Slack id no longer leaves stale aliases resolving to the
login in-process.
- Tests for both fixes; update Slack repo-config test to patch the async resolver.
* Lock dashboard login to GitHub org members
Add an org-membership gate to the dashboard OAuth callback. After
resolving the GitHub login, enforce_org_login_gate(login) checks the
existing ALLOWED_GITHUB_ORGS allowlist before issuing a session.
- Reuses ALLOWED_GITHUB_ORGS (no new config knob) and
is_user_active_org_member (installation-token check, so no extra
OAuth scope and private memberships are visible).
- Fail-open when unset/blank so existing deployments keep working;
fail-closed on API errors.
- Gate runs before the session cookie/token is persisted.
Adds unit tests and documents the behavior in INSTALLATION.md.
* docs: document Organization Members permission required for org login gate
* 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>
* fix: propagate Slack reply errors
Co-authored-by: Johannes du Plessis <51395795+johannes117@users.noreply.github.com>
* fix: classify Slack 429 as rate_limited with retry-after
Slack chat.postMessage rate limiting returns HTTP 429, which raise_for_status
turned into a generic http_error and told the agent to retry immediately,
ignoring Slack's retry window. Special-case 429 (threading Retry-After) and
normalize the ratelimited body code before the generic HTTP path so the
existing rate_limited hint actually fires.
---------
Co-authored-by: open-swe[bot] <open-swe@users.noreply.github.com>
Co-authored-by: Johannes du Plessis <51395795+johannes117@users.noreply.github.com>
Co-authored-by: Johannes du Plessis <johannes@langchain.dev>
* fix: route PR review requests through agent tool
Co-authored-by: Johannes du Plessis <51395795+johannes117@users.noreply.github.com>
* fix: align public repo gate test with agent routing
Co-authored-by: Johannes du Plessis <51395795+johannes117@users.noreply.github.com>
* fix: allow app-token PR review requests
Co-authored-by: Johannes du Plessis <51395795+johannes117@users.noreply.github.com>
---------
Co-authored-by: open-swe[bot] <open-swe@users.noreply.github.com>
Co-authored-by: Johannes du Plessis <51395795+johannes117@users.noreply.github.com>
* feat(reviewer): inline AGENTS.md into reviewer system prompt
Fetches AGENTS.md from the PR's head_sha via the GitHub contents API
during reviewer setup and inlines it as a "Repository conventions"
block in the system prompt. Mirrors how the per-repo review style
prompt is already wired.
The main agent has long had a mandatory step to read AGENTS.md after
cloning, but the reviewer often skips cloning entirely (it can
`gh pr diff` directly), so it never saw the file. Loading it
deterministically means the reviewer judges findings against the
project's own conventions instead of relying on the model to fetch
the file itself.
* fix(reviewer): fetch AGENTS.md from base_sha, not head_sha
The reviewer inlines AGENTS.md into its system prompt. Reading from
head_sha means a PR author can edit AGENTS.md in the same PR being
reviewed and smuggle instructions like "ignore all bugs" / "publish
no findings" into the reviewer's prompt. Switch to base_sha (the
target branch's pre-PR state, which is trusted) and update the prompt
text to reflect that the contents come from the base, not the head.
---------
Co-authored-by: open-swe[bot] <open-swe@users.noreply.github.com>
* feat(ui): add Agents chat UI ported from open-swe-app
Introduce a Cursor-style Agents surface separate from the dashboard, with ported chat/diff components and mock thread data until LangGraph APIs land.
Co-authored-by: Cursor <cursoragent@cursor.com>
* feat(dashboard): wire Agents UI to LangGraph thread APIs
Add dashboard thread list/detail/run/message/stream endpoints with a LangGraph message adapter, dashboard OAuth auth for runs, and TanStack Query hooks replacing mock data.
Co-authored-by: Cursor <cursoragent@cursor.com>
* fix(dashboard): single agent reply per turn in Agents UI
Use UUID thread IDs LangGraph accepts, skip confirming_completion for
dashboard threads, and merge adapter agent messages so duplicate bubbles
do not render.
Co-authored-by: Cursor <cursoragent@cursor.com>
* feat(ui): polish Agents UI with floating prompt and layout cleanup
Remove no-op chrome (git panel, headers, sidebar search), port CloudPromptBar
from open-swe-app, and refine chat layout so messages scroll behind the input.
Co-authored-by: Cursor <cursoragent@cursor.com>
* fix(agent): patch deepagents reducer for None messages on checkpoint replay
LangGraph thread state could 500 when cancelled runs left messages as None.
Apply the reducer guard before graph import, fall back to metadata in the
dashboard API, and adjust Agents prompt bar layout.
Co-authored-by: Cursor <cursoragent@cursor.com>
* feat(ui): unify sidebar user menu and clean up Agents UI navigation
Extract SidebarUserMenu so the dashboard and Agents sidebars render the
same profile button, drop the redundant Agents nav row in favor of the
existing Back to Agents link, add the open-swe logo header to the Agents
sidebar, flatten the New Agent button, and cap the home screen run list
to keep the prompt input in view.
* feat(ui): resizable/collapsible sidebar shared across dashboard and Agents
Add a useSidebarLayout hook + SidebarFrame wrapper so both sidebars
share a persisted width (default 260px, drag to resize, 200-420 range)
and a collapse toggle that hides the panel and surfaces a floating
reopen button. Also adds a DELETE /threads/{id} endpoint and an X-on-
hover thread delete control in the Agents sidebar.
* feat(ui): instant user message and busy indicator on Agents transition
Stash submitted prompts in sessionStorage, pre-populate the new thread
detail cache, and merge pending prompts into the rendered message list
so the Agents page renders the user bubble plus the existing thinking
spinner immediately instead of flashing a skeleton and "Agent is
starting" while the run boots.
* feat(ui): token-stream agent replies in the Agents thread view
Opt the LangGraph runs into messages-tuple streaming and forward those
events through the existing SSE channel. The frontend now applies
AIMessageChunk deltas directly to the cached thread (cancelling any
in-flight refetch first so optimistic tokens are not clobbered) and
keeps positional pending prompts so the user bubble stays in the right
place while the agent streams its reply.
* fix(dashboard): await threads.join_stream before iterating
threads.join_stream is async def returning an AsyncIterator, so it must
be awaited before async for. The SSE endpoint was raising
TypeError: 'async for' requires an object with __aiter__ method, got
coroutine on every connection.
* fix(dashboard): drop messages-tuple stream_mode that broke thinking-mode tool turns
Setting stream_mode=["values","messages-tuple","updates"] on
runs.create forces langchain_anthropic into streaming, and on the
second model call (after tool execution) its serialized thinking
blocks come back malformed, so Anthropic rejects the request with
'messages.1.content.0.thinking.thinking: Field required'. Revert to
the default stream_mode so claude-opus thinking + tool use runs to
completion. The frontend keeps the messages-event handler in place
as a no-op fallback for when streaming is re-enabled.
* feat(agents): per-thread model picker wired through to the run
Add optional model_id/effort to the create-thread and send-message
request bodies, forward them as agent_model_id/agent_effort in the
LangGraph run configurable, and record the resolved choice in thread
metadata so the UI can show the model the run is actually using.
get_agent now picks the per-thread override last (highest priority over
team default + profile override) and falls back gracefully when it is
absent or unsupported.
The frontend prompt bar becomes a controlled component fed by a
shared useModelOptions hook (options + profile -> defaultSelection).
AgentsHome seeds the picker from the user's profile default; the
thread view seeds from the thread's recorded model/effort and lets
each follow-up retarget the run.
* refactor(ui): align Agents prompt bar layout with open-swe-app PromptBar
Drop the absolute-positioned send button, restore the original
px-4 py-3.5 min-h-[106px] flex-col container, and move the model
picker into a mt-auto pt-2 footer row so the placeholder text and
the model selector share the same horizontal padding.
* chore: fix lint/format CI failures
Remove unused imports and reformat two files flagged by ruff.
* fix(tests): stop messages-reducer patch tests from polluting the suite
Restore agent modules after reducer patch tests and import LangSmithSandbox
from agent.server in proxy refresh tests so isinstance checks stay valid.
---------
Co-authored-by: open-swe[bot] <open-swe@users.noreply.github.com>
Co-authored-by: Cursor <cursoragent@cursor.com>
* feat: tune reviewer for precision — web/wiki tools + recalibrated prompt
Reviewer agent now has web_search, fetch_url, and http_request alongside the
finding tools, so it can verify library semantics and consult the DeepWiki
auto-generated wiki for public repos (https://deepwiki.com/<owner>/<repo>)
before flagging cross-file or architectural concerns.
Prompt rewritten to push precision over recall:
- explicit severity ladder pushing reviews toward bimodal high/low instead of
defaulting to medium
- ≤200-char description target (gold set averages ~186 chars; we were at ~436)
- mandatory docs / wiki / code lookup before flagging concurrency, security,
or perf — the three categories that dominated false positives
- "do not flag" list covering compiler/linter-catchable nits, speculative
claims without a concrete attacker/interleaving/scale, style preferences
the codebase doesn't share, and test-quality nits on non-test diffs
- smart file-selection guidance for large PRs (deprioritize generated /
vendored / pure-rename hunks)
Eval config switched to openai:gpt-5.5 + high reasoning effort for the next
benchmark run.
* trim prompt
* subagent prompting
* confidence ratings
* added medium
* enforce confidence threshold
* .
* reviewer: precision-tuned prompt + drop confidence gate
Rewrites the reviewer system prompt around a defensibility bar (anchor +
failure mode + maintainer wouldn't say "not a bug"), an explicit do-not-file
list (style nits, speculation, scope-policing, same-bug fan-out), and a
checklist of 10 bug archetypes drawn from a per-PR audit of the eval golden
set. The audit showed 145 FPs in the last eval split ~28% speculative, ~26%
style-nit, ~31% real-but-unscored (mostly same-archetype fan-out); the new
prompt targets each class directly.
Confidence is still recorded on every finding for post-hoc calibration but
no longer gates publication — the audit showed the gate was a no-op (agent
self-rated 65% of findings "high" regardless), and the prompt's defensibility
bar is the actual discipline. Drops CONFIDENCE_ORDER, CONFIDENCE_THRESHOLD,
the confidence_threshold kwarg on filter_findings_for_publish, the
confidence_filtered score_mode, and the min_confidence kwarg on the eval
target's _extract_comments — all dead once the gate is gone.
Also removes the "informational" severity tier from the Severity enum,
SEVERITY_ORDER, and all validators / tests / docstrings. It was reserved for
FYI observations the dataset never rewards.
* benchmax
* adding google provider
* slight steering
* tuning
* more tuning
* fix
* cleanup
* reducing overfitting
* Add per-repo review style profiles and inject them into the reviewer.
Dashboard users can analyze historical PR review feedback per repository,
edit the resulting style guide, and have it loaded from LangGraph Store at
reviewer runtime (including Martian eval runs) keyed by owner/name.
Co-authored-by: Cursor <cursoragent@cursor.com>
* Fix review style job errors leaking exception details to clients.
Return generic dashboard messages while logging full stack traces server-side.
Co-authored-by: Cursor <cursoragent@cursor.com>
---------
Co-authored-by: open-swe[bot] <open-swe@users.noreply.github.com>
Co-authored-by: Cursor <cursoragent@cursor.com>
* feat: tighten reviewer eval workflow
Require the reviewer to verify and dedupe findings before recording them, and make benchmark runs safe to execute against deployed reviewer graphs without posting GitHub reviews.
* chore: move reviewer eval settings to config
Load reviewer benchmark settings from the default eval config file so deployed eval runs do not require a wide CLI surface.
* feat: allow reviewer eval model overrides
Pass reviewer model and reasoning effort from the eval config into reviewer runs so isolated benchmark deployments can test Opus 4.7 high thinking.
* fix: use adaptive thinking for Opus 4.7
Switch Opus 4.7 model overrides to Anthropic adaptive thinking with effort instead of the deprecated budgeted thinking payload rejected by the API.
* refactor: use latest Anthropic effort API
Remove legacy Anthropic budget-token thinking support and route Anthropic efforts through adaptive thinking plus effort.
* revert prompting
* feat: dashboard backend — GitHub OAuth, profile CRUD, admin endpoints
Adds agent/dashboard/ FastAPI router mounted at /dashboard/api covering:
- GitHub App OAuth login → JWT cookie session (cross-domain ready)
- profile CRUD against LangGraph Store with model+effort validation
- admin gate via CONFIGURED_ADMINS
- /repos via /user/installations using the user's encrypted OAuth token
CORS allowlist on webapp.py is opt-in via DASHBOARD_ALLOWED_ORIGINS so the
Vercel-hosted frontend can call the LangSmith deployment with credentials.
* feat: apply dashboard profile model/effort overrides in get_agent
Look up the triggering user's GitHub login from config (direct field or
GITHUB_USER_EMAIL_MAP reverse lookup), read their profile from the Store,
and apply default_model + reasoning_effort to make_model when both are
valid. Effort 'max' is captured on the profile but not yet wired through —
the OpenAI Reasoning Literal doesn't accept it.
* feat: ui/ TanStack Start dashboard for profile config
Scaffolded with the shadcn b7CScJIjA preset (TanStack Start template,
base-ui primitives, Tailwind v4). Three routes:
- /login — Sign in with GitHub (links to /dashboard/api/auth/login)
- /profile — Edit default model, reasoning effort, default repo
- /admin — Admin-only: list users and edit other profiles
API client (src/lib/api.ts) uses credentials: include so the osw_session
cookie set by the OAuth callback rides cross-origin. VITE_DASHBOARD_API_BASE_URL
points at the LangSmith deployment.
Effort options re-render when the model changes; 'max' on Opus 4.7 is
captured on the profile but ignored downstream until anthropic reasoning
is wired through make_model.
* feat: searchable Combobox for default repo picker
Replaces the Select with a base-ui Combobox so users can filter by typing,
the popup is wider than the trigger so full owner/repo names are readable,
and the list caps at max-h-80 to stay on screen.
* fix: address review comments + wire default_repo and Anthropic thinking
Security/correctness fixes from PR review:
* Open redirect: validate `redirect_to` in `/auth/login` against
`DASHBOARD_BASE_URL` + `DASHBOARD_ALLOWED_ORIGINS` before signing it
into the state JWT. Anything off-allowlist falls back to the dashboard
base URL. (PR #1302 r3250054386)
* Login CSRF: bind the OAuth `state` to the requesting browser. At
`/auth/login` we generate a fresh nonce, set it as a short-lived
HttpOnly SameSite=Lax cookie scoped to `/dashboard/api/auth`, and
embed `hash_state_nonce(nonce)` in the state JWT. At `/auth/callback`
we require the cookie nonce to hash-match the state JWT's nonce_hash
(constant-time compare). (PR #1302 r3250054395)
* RMW race in profile vs token writes: split storage into two
namespaces — `["profiles"]` for user-editable settings and
`["oauth_tokens"]` for the encrypted GitHub token. Each upsert now
only writes its own namespace so an in-flight profile save can no
longer clobber a fresh token from a concurrent re-login (and vice
versa). (PR #1302 r3250054393)
* /repos pagination: follow `Link: rel="next"` for both
`/user/installations` and per-installation `/repositories` with
per_page=100, capped at 1000 items. (PR #1302 r3250054401)
Feature wires:
* default_repo: applied as a fallback in `get_slack_repo_config` (after
explicit-repo / thread metadata, before the env defaults) and in the
Linear webhook (after comment-body extraction, before team mapping).
Both paths resolve the triggering user's GitHub login via
GITHUB_USER_EMAIL_MAP and read the profile's default_repo.
* Anthropic "thinking" effort: `make_model` now accepts a `thinking`
kwarg; `get_agent` maps profile effort {low,medium,high,xhigh,max}
to budget_tokens {1k,4k,12k,32k,60k} when the chosen model is
anthropic. OpenAI path still ignores "max" since the Literal doesn't
accept it.
The SLACK_ASSISTANTS_API_ENABLED env flag and its gating function
are removed. set_slack_assistant_status now always proceeds when a
bot token and channel/thread are provided.
Co-authored-by: open-swe[bot] <open-swe@users.noreply.github.com>
Co-authored-by: Johannes du Plessis <51395795+johannes117@users.noreply.github.com>
* feat: TTL and revocation handling for cached GitHub OAuth tokens [closes AB-2322]
Persist github_token_expires_at alongside github_token_encrypted, treat
expired cache entries as missing so we re-resolve before kicking off
runs, and invalidate the cached ciphertext on a downstream 401 so the
next invocation gets a fresh token instead of replaying a revoked one.
Co-authored-by: Johannes du Plessis <51395795+johannes117@users.noreply.github.com>
* webapp: forward installation-token expiry to reviewer cache writes
The three reviewer-thread persist sites in webapp.py were calling
get_github_app_installation_token() (no expiry) and persist_encrypted_github_token
without expires_at, so cached App tokens were treated as never-expiring even
though they actually expire in ~1 hour.
---------
Co-authored-by: open-swe[bot] <open-swe@users.noreply.github.com>
Co-authored-by: Johannes du Plessis <51395795+johannes117@users.noreply.github.com>
Co-authored-by: Johannes du Plessis <johannes@langchain.dev>
* feat: add 10 more tips to the trace-reply rotation
The TRACE_REPLY_TIPS pool only had 9 tips, so users mostly saw the same
ones. Added 10 more grounded in actual features (review command, image
attachments, GitHub-issue triggers, persistent sandboxes, OAuth fallback,
etc.) so the rotation surfaces more of what open-swe can actually do.
Co-authored-by: Johannes du Plessis <51395795+johannes117@users.noreply.github.com>
* swap out 3 tips per review feedback
Replaced the suggestion-blocks, sandbox-auto-recovery, and OAuth-fallback
tips with three more practically useful ones: cross-posted Slack message
resolution, the web_search tool, and the Linear ticket-management tools.
Co-authored-by: Johannes du Plessis <51395795+johannes117@users.noreply.github.com>
---------
Co-authored-by: open-swe[bot] <open-swe@users.noreply.github.com>
Co-authored-by: Johannes du Plessis <51395795+johannes117@users.noreply.github.com>
When the primary model raises a transient provider error (5xx, 429,
connection/timeout) the request is retried once against a fallback
model from the other provider. Anthropic primaries fall back to
OpenAI and vice versa. Also bumps the SDK max_retries from the
default 2 to 6 so quick blips stay on the primary and keep prompt
caching warm.
Triggered by 529 OverloadedError traces that ended runs silently
with no Slack/Linear/PR reply.
Appending "Please react with 👍 or 👎..." to every Slack completion
message ended up being repetitive noise. Drop the prompt-side instruction
and add the same ask as one of the rotating tips on the trace reply, so
users still see it occasionally without it cluttering each final summary.
Now that assistant.threads.setStatus carries the "is thinking…"
indicator, the per-run greeting phrase + auto-unfurl on the LangSmith
link are just visual noise stacking on top of it. The trace reply now
posts only `<url|View trace>` + a tip, with link unfurling off so the
smith.langchain.com card no longer appears.
Adds an `unfurl_links`/`unfurl_media` knob to post_slack_thread_reply_with_ts
(default-on to preserve behaviour for every other caller).
* feat: add Slack reaction feedback to LangSmith
Record Slack reaction feedback against explicitly mapped LangGraph runs so user ratings are idempotent and tied to the message they reacted to.
* Address review feedback on Slack reaction → LangSmith feedback
- langsmith.py: drop lru_cache on _build_langsmith_feedback_clients so
rotated keys / late env hydration are picked up; dedupe by (key, url)
tuple instead of key alone so the same key pointing at different
endpoints (cloud + self-hosted) builds both clients.
- langsmith.py: treat LangSmithNotFoundError on delete_feedback as
success — out-of-order or redelivered reaction_removed events would
otherwise loop forever on Slack's retry policy.
- slack_feedback.py: include channel_id in _feedback_key so the same
message_ts in two channels can't collide on the same feedback id.
- slack_feedback.py: treat conflicting +/- reactions from one user as
ambiguous (clear feedback) instead of averaging to a misleading 0.5.
- slack_feedback.py + slack.py + webapp.py: gate reaction handling to
the user who triggered the run (stored in the slack_run_map mapping
alongside run_id). Prevents bystanders in shared channels from
polluting eval feedback.
Adds a webhook-level check so only members of $PUBLIC_REPO_ORG_GATE
(e.g. langchain-ai) can trigger Open SWE via mentions or review
requests on public repositories. Private repos remain governed by the
existing org/repo allowlists. Internal bots bypass the gate.
Co-authored-by: open-swe[bot] <open-swe@users.noreply.github.com>
Co-authored-by: Johannes du Plessis <51395795+johannes117@users.noreply.github.com>
* feat: add optional Slack Assistants API typing status indicator
Mirrors OpenClaw's pragmatic approach: instead of rebuilding around
assistant_thread_started events, just opt into assistants.threads.setStatus
to show 'is thinking…' while the agent is working, and clear it when
post_slack_thread_reply lands. Gated behind SLACK_ASSISTANTS_API_ENABLED so
it can be toggled without touching code.
* fix(slack): drop redundant clear, add status heartbeat across model calls
- Slack auto-clears the typing indicator on bot post; remove the explicit
assistants.threads.setStatus("") call from post_slack_thread_reply.
- The indicator expires after ~2 minutes; add a before_model middleware
that refreshes it on every model tick so it stays visible across long
agent runs. Reuses the existing slack_thread.{channel_id,thread_ts}
configurable already plumbed for notify_step_limit.
- chat:write is sufficient on the bot token (assistant:write is on the
way out per Slack docs); no scope or app-config change required.
* feat(slack): contextual status text + rotating loading_messages
- set_slack_assistant_status now accepts an optional loading_messages list
(capped at 10 per Slack's API), surfaced via the assistants.threads.setStatus
payload so Slack rotates through them client-side.
- The heartbeat middleware derives a contextual status from the last
assistant message's tool calls (e.g. "searching the codebase…" after
grep, "running commands…" after execute), falling back to the default
"is thinking…" when no tool calls or unknown tool name.
- Adds a curated DEFAULT_LOADING_MESSAGES list passed alongside the
contextual status on each refresh.
* fix slack assistant status lifecycle
---------
Co-authored-by: open-swe[bot] <open-swe@users.noreply.github.com>
Co-authored-by: Johannes du Plessis <johannes@langchain.dev>
* feat(open-swe): trigger reviewer agent from `@open-swe review` PR comment
Mirrors the Slack `@open-swe review` flow on GitHub: a comment containing
`@open-swe review` (optionally followed by a PR URL) on a PR triggers the
reviewer agent. Without a URL it reviews the commenting PR; with a URL it
targets that PR. Works for `issue_comment`, `pull_request_review_comment`,
and `pull_request_review` events, gated by the existing reviewer repo
allowlist and reusing `trigger_pr_review_from_ref`.
* fix(open-swe): require URL after `@open-swe review`, don't swallow trailing text
The previous regex matched any non-whitespace token after `review`, including
across newlines. Comments like `@open-swe review\nthanks!` parsed as
`(True, "thanks!")`, which then failed PR-URL parsing and was silently
dropped — the user got no review and the comment never reached the regular
PR-comment handler.
Restrict the optional URL token to `https?://\S+` so non-URL trailing text
falls through to `process_github_pr_comment` instead of being eaten by the
review-command branch. Adds regression tests for the multiline and
trailing-word cases.
* feat: only post Slack 'Working on it!' on first thread mention
* feat: randomize Slack trace reply phrase
Pick from a small list of friendly phrases instead of always saying
'Working on it!' so the bot feels less robotic. Explicit messages (e.g.
'Taking a look...' from PR review path) are unaffected.
* adjust phrases
---------
Co-authored-by: open-swe[bot] <open-swe@users.noreply.github.com>
Co-authored-by: Johannes du Plessis <johannes@langchain.dev>
* 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
* feat: add edit_pull_request tool for editing PR titles and descriptions
* fix: patch auth flow in open PR middleware tests
* fix: support app token for editing PRs
---------
Co-authored-by: open-swe[bot] <open-swe@users.noreply.github.com>
Co-authored-by: Johannes du Plessis <johannes@langchain.dev>
* fix: prevent futile retry loop when commit_and_open_pr fails with git/API errors
- Root cause: when git checkout or GitHub PR API fails, the tool returned a generic {"success": false} error with no signal that retrying is futile, causing the agent to loop 9-13+ times until hitting the 1000-step recursion limit
- Change: (1) git_checkout_branch now returns (bool, str) so the actual git error output is surfaced in the tool response; (2) checkout and PR creation failures now include "fatal": true and an explicit "Do not retry" message; (3) prompt.py COMMIT_PR_SECTION adds an explicit instruction to stop on fatal errors
- Verified: 109 unit tests pass, no regressions
* fix: skip PR safety net on fatal commit failures
* style(open_pr): ruff-format fatal retry skip condition
---------
Co-authored-by: LangSmith Forge <forge-agent@langsmith.ai>
Co-authored-by: Johannes du Plessis <johannes@langchain.dev>
- Root cause: create_github_pr found an existing PR on 422 but never
PATCHed it, so callers like commit_and_open_pr could not update the
PR body (e.g. adding "Closes AB-1159") on subsequent invocations.
- Change: after _find_existing_pr succeeds, call new _update_github_pr
helper which PATCHes /repos/{owner}/{repo}/pulls/{number} with the
requested title and body before returning pr_existing=True.
- Verified: self-evident API call addition; proof in production traces.
Co-authored-by: LangSmith Forge <forge-agent@langsmith.ai>
Co-authored-by: open-swe[bot] <open-swe@users.noreply.github.com>
- Root cause: httpx.HTTPError handler returned (None, None, False) without
checking if the PR was already created on GitHub before the network error
- Change: added _find_existing_pr fallback in except block in agent/utils/github.py
- Verified: 5 production traces showed false failures where PR existed (pr_existing=True on retry)
Co-authored-by: LangSmith Forge <forge-agent@langsmith.ai>
Co-authored-by: Johannes du Plessis <johannes@langchain.dev>
* fix: stop agent retrying commit_and_open_pr on 403 permission denied
Detect 403/permission-denied push failures in commit_and_open_pr and
return a PERMANENT_FAILURE message so the LLM stops retrying. Also add
prompt-level guidance to the COMMIT_PR_SECTION reinforcing this. Add
unit tests covering both the 403 and non-403 push failure paths.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
* fix: stop safety net retrying permanent push failures
Skip the after-agent PR fallback when commit_and_open_pr reports a permanent GitHub push authorization failure, while preserving fallback behavior for recoverable failures.
---------
Co-authored-by: Claude Agent <agent@anthropic.com>
Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>
Co-authored-by: Johannes du Plessis <johannes@langchain.dev>
Calling get_github_token() without arguments always invoked LangGraph get_config internally,
which broke tests that only patch agent.middleware.open_pr.get_config and failed outside
runnable context.
Extend get_github_token with an optional runnable config mapping; the middleware passes
the config dict already resolved from get_config(). Request GitHub App installation tokens
only after detecting sandbox/repo changes worth publishing.
Fixes failing Agent unit tests in tests/test_open_pr_middleware.py.
* feat: open PRs under user's name and add OpenSWE label
* feat: use user token for PR authorship, add OpenSWE label, and consolidate fallback logic
* linting
* fix: address review nits for PR authorship and labeling
Fix docstring casing, add debug logging for 422 existing-PR search
fallback, tighten test type annotations, and add missing HTTPError
fallback test.
---------
Co-authored-by: open-swe[bot] <open-swe@users.noreply.github.com>
* feat: default to GPT-5.5 medium reasoning
Use OpenAI GPT-5.5 with medium reasoning as the default model and document the completion-token budget semantics for reasoning models.
* fix: use Responses API reasoning config
Pass GPT-5.5 reasoning settings through LangChain's Responses API parameter instead of the Chat Completions-only reasoning_effort field.
* feat: raise GPT-5.5 output budget
Set the default GPT-5.5 output token budget to the model maximum so long-running coding tasks have more room for reasoning and final responses.
* feat: align recursion limit with Deep Agents
Use Deep Agents' default recursion limit so longer coding runs have room to complete without Open SWE imposing a lower cap.
* chore: remove minimal effort level
* chore: reduce max tokens to 64_000
---------
Co-authored-by: open-swe[bot] <open-swe@users.noreply.github.com>
* feat: migrate LangSmith sandbox creation to snapshot API
Replaces the template-based sandbox flow (DEFAULT_SANDBOX_TEMPLATE_NAME /
DEFAULT_SANDBOX_TEMPLATE_IMAGE) with the new snapshot-based flow.
- New required env var DEFAULT_SANDBOX_SNAPSHOT_ID (UUID of a pre-built
LangSmith snapshot; build out-of-band via UI or SandboxClient.create_snapshot)
- Optional DEFAULT_SANDBOX_SNAPSHOT_FS_CAPACITY_BYTES overrides the root FS
size at boot (default 32 GiB)
- Startup-time validation via a FastAPI lifespan hook: the server refuses
to boot with a clear ValueError if SANDBOX_TYPE=langsmith and
DEFAULT_SANDBOX_SNAPSHOT_ID is unset, so failures surface in boot logs
rather than on the first thread
- Reconnect-to-existing-sandbox path unchanged
- Docs (INSTALLATION.md, CUSTOMIZATION.md) updated to describe the new
snapshot workflow
* fix: format create_sandbox_snapshot.py to pass ruff
---------
Co-authored-by: aran-yogesh <yogesh.mahendran@langchain.dev>
