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Author SHA1 Message Date
Johannes du Plessis
7877a9003e
fix: separate review access from automatic reviews (#1720)
Co-authored-by: open-swe[bot] <open-swe@users.noreply.github.com>
(cherry picked from commit 92d631704e9c38f6aeedf70baede85a7c638567e)
2026-07-16 17:27:00 -04:00
Adam Moussa
0f6eaaea78
chore: adopt five clean upstream cherry-picks (#194)
* chore: include ripgrep in sandbox image (#1728)

Co-authored-by: open-swe[bot] <open-swe@users.noreply.github.com>
(cherry picked from commit 129ddcf9a2fe8b3710535eb10098f80c98b47690)

* feat: include Cargo in sandbox image (#1729)

Co-authored-by: open-swe[bot] <open-swe@users.noreply.github.com>
(cherry picked from commit 1ea03a4330cc9faac65157f3fb94842d074e0231)

* fix: prefer LangSmith tools for trace links (#1751)

Co-authored-by: open-swe[bot] <open-swe@users.noreply.github.com>
(cherry picked from commit c69459adcafad4a59028232514cecb3bdaf0dfc0)

* fix: add trace link to error banner (#1750)

Co-authored-by: Ramon Nogueira <270434257+ramon-langchain@users.noreply.github.com>
Co-authored-by: open-swe[bot] <open-swe@users.noreply.github.com>
(cherry picked from commit 5cb2e2bb3582d69241b386bb0852c6f6b40b2dbb)

* fix: link issue PRs and prompt repo conventions (#1704)

Co-authored-by: open-swe[bot] <open-swe@users.noreply.github.com>
(cherry picked from commit 22e024cb1ca080e233eb2cc164767446173a7870)

* chore: reconcile triage ledger

---------

Co-authored-by: Johannes du Plessis <johannes@langchain.dev>
Co-authored-by: open-swe[bot] <open-swe@users.noreply.github.com>
Co-authored-by: Ramon Nogueira <ramon.nogueira@langchain.dev>
Co-authored-by: Ramon Nogueira <270434257+ramon-langchain@users.noreply.github.com>
Co-authored-by: Palash Shah <35114859+Palashio@users.noreply.github.com>
2026-07-16 19:28:35 +00:00
Adam Moussa
1f80500cf3
feat: Jira + Confluence integration (tools + triggers) (#182)
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* feat(open-swe): add Jira tool plane (Phase 1)

Curated Jira Cloud REST v3 toolset for the agent, mirroring the Linear
tools:

- utils/jira.py: service-account REST client (Basic auth) with get/
  create/update issue, comments, list projects, trace comment; issue and
  comment bodies normalized to markdown.
- utils/adf.py: minimal ADF <-> markdown conversion (read paths convert
  Jira ADF to markdown; agent comments convert prose to ADF).
- tools/jira_{comment,get_issue,get_issue_comments,create_issue,
  update_issue,list_projects}.py wired into the tool registry and the
  main agent tool list.
- tests/test_jira_utils.py: ADF conversion + mocked-transport util tests.

Reads JIRA_BASE_URL / JIRA_SERVICE_EMAIL / JIRA_API_TOKEN; unset env
returns a clean error, so this is safe to land dark. Trigger plane,
prompt guidance, and config plumbing follow in Phase 2.

* feat(open-swe): add Confluence tool plane (Phase 3)

Curated Confluence Cloud REST toolset for the agent, mirroring the Jira
tools:

- utils/confluence.py: service-account REST client (Basic auth) with
  get/create/update page, add comment, CQL search. Page bodies are XHTML
  storage format (not ADF), with minimal storage<->text converters;
  update_page reads the current version and bumps it, as Confluence
  requires.
- tools/confluence_{get_page,create_page,update_page,comment,search}.py
  registered in the tool registry.
- tests/test_confluence_utils.py: converter + mocked-transport tests
  including the version-bump path.

Reads CONFLUENCE_BASE_URL / CONFLUENCE_EMAIL / CONFLUENCE_API_TOKEN;
unset env returns a clean error. Activation in the agent tool list lands
with the Phase 2 server.py wiring.

* feat(open-swe): add Jira trigger plane (Phase 2)

Make an @openswe comment on a Jira issue spawn an agent run, mirroring
the Linear trigger plane:

- webhooks/jira.py: process_jira_issue clones process_linear_issue —
  deterministic thread id, full-issue fetch, actor accountId->email
  attribution feeding resolve_login_from_email_async (PRs open as the
  human), multimodal image handling, source="jira" + jira_issue config.
- webapp.py: POST/GET /webhooks/jira, verify_jira_secret (constant-time
  X-Automation-Webhook-Token check, fails closed), repo-resolution
  cascade, get_repo_config_from_jira_mapping.
- utils/jira_project_repo_map.py: JIRA_PROJECT_TO_REPO (placeholder
  entry — real project->repo mappings still needed).
- utils/jira.py: get_user_email (accountId -> email) for attribution.
- completion.py: source=="jira" failure-reply branch.
- prompt.py: Jira-triggered notify guidance + Refs:/branch key from
  {jira_project_key}-{jira_issue_number}.
- server.py: read jira_issue config + pass jira key to the system
  prompt; also activates the Phase 3 Confluence tools in the agent list.

Jira Automation lacks native webhook HMAC signing, so trust is a shared
secret header (decision D2); replay protection is weaker than Linear's
HMAC+timestamp. /sh-security-review + an Atlassian IP allowlist are the
outstanding gate/hardening before push.

* fix(open-swe): harden Jira webhook trust (sh-security-review)

Resolves findings from the Phase 2 security review (detector fan-out +
proof-or-kill verifier). The unsigned Jira Automation webhook body was
trusted for identity, comment content, repo routing, and issue
existence; a JIRA_WEBHOOK_SECRET holder could forge those fields.

- Corroborate against the real Jira record: the webhook body is now only
  a pointer (issue_key + required comment_id). The triggering comment's
  author and text are re-fetched server-side via get_comment/fetch_jira_
  comment, and identity, the @openswe check, prompt text, and project
  key are derived from that authoritative record — never payload author/
  body fields. An uncorroborated comment is rejected. (closes the
  account-id impersonation, unsigned-body prompt injection, and
  fabricated-issue findings)
- Validate issue_key against the Jira key format and percent-encode all
  untrusted path segments (_seg) so a crafted key can't traverse to a
  different Jira REST endpoint or inject query params. (closes the path-
  traversal / query-injection findings)
- Route source=="jira" through the bot-token-default / author_prs_as_
  user opt-in path in resolve_github_token, matching Linear, instead of
  unconditionally resolving a per-user OAuth token from a payload email.
- Gate attribution on an active user mapping (is_login_mapped) so a
  pending/unconfirmed mapping can't drive PR authorship.

Adds regression tests: server-corroboration wins over payload, malformed
issue_key rejected, uncorroborated comment rejected, path-segment
encoding, project-key derivation, active-mapping gate.

Remaining (non-blocking, deployment/hardening): set ALLOWED_GITHUB_ORGS/
REPOS so the shared allowlist isn't fail-open; consider HMAC-over-body +
timestamp on the Automation payload to close the residual replay gap.

* harden(open-swe): opt-in Jira webhook replay/IP + fail-closed allowlist

Folds the two deployment-hardening items from the Phase 2 security review
into code (all opt-in / default-off, so existing and upstream deployments
are unaffected):

- JIRA_WEBHOOK_REQUIRE_SIGNATURE: when set, the Automation payload must
  carry X-Openswe-Signature (hex HMAC-SHA256 of the raw body keyed by
  JIRA_WEBHOOK_SECRET) plus a fresh timestamp, verified by
  verify_jira_signature / _jira_timestamp_is_fresh (mirrors the Linear
  HMAC+freshness model). Closes the static-token model's replay/forgery
  gap when enabled.
- JIRA_WEBHOOK_IP_ALLOWLIST: optional CIDR allowlist on the webhook's
  direct client IP (verify_jira_source_ip). Documented as direct-peer
  only; behind a proxy/LB, allowlist Atlassian's ranges at that layer.
- REQUIRE_REPO_ALLOWLIST: makes an empty ALLOWED_GITHUB_ORGS/REPOS fail
  CLOSED instead of the back-compat allow-all, plus a startup fail-open
  warning. Applies to all channels for consistency.

Documents all new vars (and a Jira section) in .env.example. Adds tests
for signature on/off + valid/missing/wrong/stale, IP allow/deny/off, and
the fail-closed allowlist.

* feat(open-swe): Confluence Atlassian Connect trigger (Phase 4)

Adds the @openswe-on-a-Confluence-comment trigger via a private Atlassian
Connect app. Designed and adversarially verified with the ultracode
workflow (3 divergent Opus designs + judge; 3 proof-or-kill Opus
skeptics on the implemented crypto).

- utils/atlassian_connect.py: hand-rolled qsh (pinned to Atlassian's
  official test vector), PyJWT HS256 webhook verifier with alg-pinning,
  issuer binding, and qsh-verified-last ordering; RS256 signed-install
  lifecycle verifier against Atlassian's published keys; installation
  store keyed by clientKey with the sharedSecret encrypted at rest
  (TOKEN_ENCRYPTION_KEY / Fernet). No new dependency (PyJWT already pinned).
- webhooks/confluence.py: install/uninstall lifecycle + comment handler.
  The JWT-signed webhook body is only a pointer; the comment's real
  author/text/container are re-fetched server-side via the Basic-auth
  service account (Phase-2 corroboration lesson), with active-only login
  attribution and the repo allowlist.
- utils/confluence.py: get_comment / get_user_email (path-encoded).
- webapp.py: GET /connect/atlassian-connect.json (served dynamically),
  POST /connect/{installed,uninstalled,webhook/comment-created}, the
  space->repo resolver, thread-id, and fetch helpers.
- completion.py: source=="confluence" failure-reply branch.

Security: the sh-security-review verify pass confirmed one HIGH — the
symmetric signed-install=false first-install was trust-on-first-use gated
only by the public Confluence hostname (webhook-auth bypass). Fixed by
switching to signed-install=true + RS256 verification of lifecycle
callbacks, which cryptographically authenticates the first install. All
other attack lenses (forgery/replay/alg-confusion/overwrite/uninstall
DoS/corroboration/injection) were defeated; residuals are deployment
config (REQUIRE_REPO_ALLOWLIST) or accepted-by-design (qsh cannot cover
bodies; comment-trigger prompt injection, shared with all sources).

New env (documented in .env.example): CONFLUENCE_BASE_URL/EMAIL/API_TOKEN,
CONNECT_BASE_URL, CONNECT_EXPECTED_BASE_URL (optional). Install secrets
require the durable Postgres LangGraph store in prod.

Outstanding before push: /sh-security-review on the real diff and the
GPT-4.1 cross-family review (auth boundary); README/CLAUDE.md + memory.

* docs(open-swe): Phase 5 — Confluence prompt guidance + architecture docs

- prompt.py: Confluence-triggered runs notify via confluence_comment on
  the triggering page; add Confluence to the shared-base source list.
- CLAUDE.md: document the Jira + Confluence tool planes and the Atlassian
  triggers (Jira Automation shared-secret webhook; Confluence Connect app
  with HS256 webhook + qsh and RS256 signed-install lifecycle), plus the
  server-side corroboration + encrypted install store.

Phase 5 also verified the trigger surface end-to-end against a running
uvicorn app (descriptor served; /connect/* and /webhooks/jira fail closed
without valid auth) and recorded the integration in project memory.

* fix(open-swe): resolve /sh-security-review findings on the Atlassian surface

Formal sh-security-review (detector fan-out + verifier) over the Phase-4
Connect surface (esp. the new RS256 signed-install code, unseen by the
earlier adversarial verify) and the Phase-2 opt-in hardening.

CRITICAL — cross-tenant install (origin validation, CWE-346): signed-
install proves the caller is *an* Atlassian tenant, not *ours*, and the
descriptor is served publicly, so any attacker could install the app on
their own Confluence site and drive agent runs against our allowlisted
repos. The baseUrl body field is attacker-controlled and cannot bind the
tenant; only the signature-verified clientKey (JWT iss) can. Added a
MANDATORY, fail-closed CONNECT_EXPECTED_CLIENT_KEYS allowlist checked in
process_install after signature+iss verification.

HIGH — cross-tenant thread-id collision (CWE-330/863): Confluence comment
ids are per-instance, so generate_thread_id_from_confluence_comment now
salts the hash with the verified clientKey (plumbed from the webhook JWT
iss) to prevent thread hijack across tenants.

HIGH/MEDIUM — path/query injection (CWE-22/88): get_page and update_page
interpolated page_id into the REST path unencoded (update_page on a
mutating PUT with no params= backstop). Now _seg()-encoded, matching the
rest of the module.

MEDIUM — self-trigger loop (CWE-405): process_confluence_comment had no
bot-authorship early-out. Added an optional CONFLUENCE_BOT_ACCOUNT_ID
guard mirroring the Linear botActor / Jira comment_author_is_bot checks.

LOW — corrected the CONNECT_EXPECTED_BASE_URL comment to document it as
opt-in defense-in-depth (the clientKey allowlist is the real gate).

Verified clean by the detectors: RS256/HS256 alg-pinning, aud/iss/exp,
kid-fetch SSRF (host-pinned + quote-encoded), at-rest secret encryption,
constant-time comparisons, and the Phase-2 hardening. New regression
tests for each fix; full suite green (1602).

* harden(open-swe): GPT-4.1 cross-family review follow-ups

Cross-family review (GPT-4.1 via orchestrator cross_reviewer) found no
critical/high issues and confirmed the auth boundary is fail-closed and
correct. Two low-cost defense-in-depth items applied:

- Validate the signed-install JWT 'kid' against a strict charset before
  the public-key fetch, so a malformed kid fails fast with no network
  call (on top of the existing fixed host + percent-encoding).
- Make JWT nbf verification explicit (verify_nbf) on both the RS256
  lifecycle and HS256 webhook decodes.

Other suggestions triaged as already-handled (aud cross-app replay is
blocked by the per-tenant iss->secret lookup; documented static-token/IP/
baseUrl tradeoffs; qsh pinned to Atlassian's vector) or ops/infra
(Fernet rotation via MultiFernet; rate limiting at the gateway).

* docs(open-swe): document Jira + Confluence in installation & customization guides

- INSTALLATION.md §5: add Jira (Automation-rule webhook + shared secret,
  service account, JIRA_PROJECT_TO_REPO) and Confluence (Atlassian Connect
  app install, CONNECT_EXPECTED_CLIENT_KEYS bootstrap, durable-store note,
  CONFLUENCE_SPACE_TO_REPO) trigger setup; §6: add the new env vars +
  REQUIRE_REPO_ALLOWLIST.
- CUSTOMIZATION.md: jira_*/confluence_* in the tools table; repo-extraction
  note covers all four sources.
- AGENTS.md: match CLAUDE.md (triggers, webhooks, tool list, auth).
- README.md: invocation section, tools table, and overview line.
2026-07-13 19:45:54 -04:00
seahaven-openswe[bot]
2fb1122630
feat(open-swe): open Linear-triggered PRs as the triggering user (#179)
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* feat: open Linear-triggered PRs as the triggering user

Add 'linear' to the set of sources that carry a mapped GitHub login
(Slack, Linear, dashboard, schedule), so Linear-triggered runs resolve
the per-user OAuth token when the author_prs_as_user profile flag is
enabled. Previously only Slack and dashboard runs could open PRs as the
user; Linear runs always used the bot token.

The Linear webhook now resolves the GitHub login from the Linear email
via the same user-mapping store Slack uses, and passes it through the
run configurable and thread owner metadata.

Refs: 5003c953 (upstream #1683)

* fix(open-swe): restrict Linear token attribution to comment author only

Split actor_email (comment_author only, feeds github_login for token
attribution) from user_email (full fallback chain, for display/model).
This ensures a PR is never opened as a non-actor (creator/assignee).

Add test_resolve_github_token_linear_defaults_to_bot to lock the
security-critical default: Linear + mapped login + no opt-in → bot.

---------

Co-authored-by: amoussa1229 <166072409+amoussa1229@users.noreply.github.com>
Co-authored-by: Adam Moussa <adam@seahavenind.com>
2026-07-13 15:17:00 -04:00
Adam Moussa
b3b0274403
feat: Re-land deferred upstream features on modular webhooks (#80) (#128)
* fix(webhooks): fall back to vision model for Slack/Linear image threads

Re-land upstream #1626 onto the modular webhook structure. When a
Slack mention or Linear issue carries images but the resolved model is
text-only, fall back to a vision-capable model instead of dropping the
images. Re-points default_vision_model_pair at the fork's image-capable
models (Opus 4.8 default, else any supports_images model) rather than
upstream's openai:/anthropic: provider filter.

Refs #80, upstream #1626

* fix(slack): persist trace_message_ts so web-handoff updates the trace reply

Re-land upstream #1630 onto the modular structure. The first-mention
store_slack_run_mapping call did not pass trace_message_ts, so it was
never persisted (nothing to preserve from on first mention) and
_notify_slack_web_handoff always skipped the trace-reply update on web
handoff. Pass it through and cover it with a test.

Refs #80, upstream #1630

* feat(slack): include channel context in Slack prompts

Re-land upstream #1633 onto the modular structure. Fetch cached Slack
channel metadata once per event (_get_slack_channel_context) and thread
it through the docs-plz gate, repo resolution, and process_slack_mention
so prompts carry the channel name and a clearly-marked untrusted
channel description. Avoids duplicate conversations.info calls.

Refs #80, upstream #1633

* feat(tools): add slack_start_new_thread breakout tool

Re-land upstream #1638 onto the modular structure. Adds the
slack_start_new_thread tool (posts a top-level Slack message and
dispatches a fresh agent run for a broken-out task via the durable
dispatch_agent_run contract), wires it into the agent tool list and
tools/__init__, adds prompt guidance, and excludes it from plan mode so
it can't bypass the approval flow. Tool imports only live modules.

Refs #80, upstream #1638

* feat(plan): notify Slack on plan approval

Re-land upstream #1632 onto the modular structure. When a plan is
approved via the dashboard approve endpoint, post a thread reply to the
originating Slack thread noting the comment count and approver, after
the follow-up run is dispatched. Slack post failures never break
approval. Adapted to the fork's approve_plan (no plan_markdown read).

Refs #80, upstream #1632

* feat(plan): publish plans from sandbox files

Re-land upstream #1635 onto the modular structure, completing the
partially-ported change so dev is internally consistent. save_plan now
takes a plan_file_path, reads the agent-authored Markdown file from
/workspace/plans/ (validating extension/location/UTF-8/size) and
publishes it, instead of taking a plan_markdown string. Removes
write_file/edit_file from PLAN_MODE_EXCLUDED_TOOLS so the agent can
author the plan file, updates enter_plan_mode/reject_plan guidance and
the e2e fake LLM. Skips the #1610-only update_plan hunk (not on dev).

Refs #80, upstream #1635

* fix(security): SSRF-harden server-side image fetch + stop logging raw image URLs

INJ-01 (high): fetch_image_block used follow_redirects=True with no per-hop
revalidation and discarded the resolved-IP pin, so an attacker-authored Slack/
Linear image URL could 302-redirect the fetch to an internal host / cloud
metadata endpoint (blind SSRF), and DNS-rebinding could bypass the one-shot
is_url_safe check. Route image fetches through the same per-hop resolve+pin+
revalidate loop the http_request tool uses, lifted into url_safety as the shared
request_with_safe_redirects. Also strip the per-host Slack/Linear bearer token
on redirect so it can't be replayed to a redirect target.

SC-1 (low): linear.py logged full image URLs (which can carry signed tokens) at
DEBUG; multimodal logged them at INFO on every fetch. Log host-only.

Sink lived in multimodal.py (unchanged by the feature work) but PR #128 widened
its reach by no longer dropping images for text-only models. Fixing on the base
branch so #130/#129 inherit it on rebase. Adds fetch_image_block SSRF regression
tests (redirect-to-internal blocked; auth stripped on redirect).
2026-07-08 18:32:43 -04:00
ea1845d41d
fix(security): fence and neutralize untrusted Slack channel description in agent prompt
Hardens SLACK-PI-001 (sh-security-review). Slack channel topic/purpose is
editable by ordinary channel members and flowed verbatim into the agent LLM
prompt behind only a prose 'untrusted' label — an indirect prompt-injection
vector for an agent with network egress and repo write. Now strip leading
markdown structural tokens per line (so it can't forge the prompt's real
request/section delimiters), cap length, and wrap it in a per-render
unguessable sentinel fence (so injected text can't spoof a closing marker to
escape the data block). Deliberately diverges from upstream #1633.
2026-07-03 16:08:35 -04:00
Johannes du Plessis
e8b6fb7050
fix: surface Slack thread errors (#1627)
* fix: surface Slack thread errors

Co-authored-by: open-swe[bot] <open-swe@users.noreply.github.com>

* fix: don't set failure_reply_posted on Slack preprocessing errors

The preprocessing error handler was setting failure_reply_posted=True,
the same idempotency flag handle_run_completion checks to suppress
duplicate run-failure replies. Since preprocessing failures happen
before any run exists but the flag persists on the thread, a subsequent
run failure on the same thread would be silently ignored.

The preprocessing handler already posts its own Slack reply, so the
run-completion idempotency flag should not be set here.

---------

Co-authored-by: open-swe[bot] <open-swe@users.noreply.github.com>
(cherry picked from commit bb36448b0b)
2026-07-03 15:50:30 -04:00
Ramon Nogueira
3c6077c418
feat: add Slack reaction tool (#1650)
Co-authored-by: Ramon Nogueira <270434257+ramon-langchain@users.noreply.github.com>
Co-authored-by: open-swe[bot] <open-swe@users.noreply.github.com>
(cherry picked from commit ee224d3e91576f771e93df7bad4523a7a7036324)
2026-07-03 15:38:56 -04:00
5dca57146b
fix: persist trace_message_ts on Slack run mapping
Hand-applied residual of upstream #1630 (rest already integrated).
2026-07-03 14:59:31 -04:00
Ramon Nogueira
3a941a693c
feat: include Slack channel context in prompts (#1633)
Add cached Slack channel metadata enrichment for Slack-triggered runs so prompts can include channel names and descriptions without duplicate conversations.info calls.\n\nCo-authored-by: open-swe[bot] <open-swe@users.noreply.github.com>

Co-authored-by: Ramon Nogueira <270434257+ramon-langchain@users.noreply.github.com>
(cherry picked from commit 27d90ef196)
2026-07-03 14:56:43 -04:00
seahaven-openswe[bot]
2b01652754
refactor: adopt modular webhook architecture (#1621) + port fork customizations (#85)
* Adopt upstream modular webhook skeleton (#1621)

Apply the durable-interrupt-dispatch refactor: split the monolithic
webapp.py into a thin routing layer plus per-source handlers in
webhooks/{github,slack,linear}.py, and add completion.py, dispatch.py,
and reconcile.py. Reconcile fork divergence by keeping the Bedrock/
Fireworks cross-provider fallback, the no-agent-attribution prompt
policy, the dashboard-handoff re-export, and the Slack channel-info
cache. ci_autofix is restored on the new dispatch model in a later
commit.

Refs: #80

* Port fork webhook security delta onto modular handlers

Re-apply the fork's security customizations that #1621 did not carry:
Linear webhook replay protection (freshness window on the signed
webhookTimestamp), per-repo token-cache binding threaded through the
thread token resolvers, the INTERNAL_BOT_LOGINS self-check in the
review-finding-reply path, and a user-mapping cache refresh before
email resolution on the issue and PR-comment paths (multi-replica
staleness). Existing fork security tests pass unchanged.

Refs: #80

* Restore CI auto-fix on the modular dispatch model

Bring back ci_autofix.py and the ci_monitor graph that #1621 deleted,
re-wiring the fork's security-reviewed PR-babysitting onto the new
structure: the CI-event, autofix-toggle, and review-feedback handlers
move into webhooks/github.py and the github_webhook router re-gains the
check_run/check_suite/workflow_run/status routing plus the autofix
command and actionable-review branches. Auto-fix runs now dispatch
through dispatch_agent_run (durability + completion webhook) while
keeping the deliberate batch-while-busy skip-rule via
get_thread_active_status. Restore langgraph.json's ci_monitor entry and
the fork autofix tests (dispatch mock + import paths re-pointed).

Refs: #80

* Reformat and update docs for the modular webhook split

Point CLAUDE.md and deploy/MIGRATION.md at the new webhooks/ modules
and the dispatch/completion/reconcile contract, and mark the
user-mapping cache-refresh fix as applied on the GitHub handlers.

Refs: #80

* Restore reject backstop for autofix dispatch

A burst of near-simultaneous CI events for one head SHA can slip past
the busy-check before the dedupe SHA is recorded, so dispatch the
autofix path with multitask_strategy=reject (dev's prior platform
default) to drop duplicate concurrent creates instead of letting them
interrupt each other. Also make the completion failure-reply dedup
claim-then-post and drop the unreachable interrupted branch.

---------

Co-authored-by: amoussa1229 <166072409+amoussa1229@users.noreply.github.com>
2026-06-30 18:46:46 -04:00