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* wip(rebuild): core reliability spine
- remove PR-babysitting (ci_autofix + ci_monitor graph + webhook wiring)
- dispatch core: agent/dispatch.py with multitask_strategy=interrupt +
durability=sync + completion webhook; reroute all webhook + plan triggers;
drop the racy in-process lock + is_thread_active busy-check
- completion webhook: agent/completion.py + /webhooks/run-complete loopback
route for failure/timeout replies (idempotent)
Co-authored-by: open-swe[bot]
* feat(rebuild): async tools, reconcile, shared http timeouts, assembly tuning
Parallel batch on top of the reliability spine:
- async-ify all 24 tools (drop asyncio.run; requests->httpx); re-implement the
http_request/fetch_url SSRF + DNS-rebinding defense httpx-natively and harden
the IP check to 'not is_global' (+ IPv4-mapped unwrap)
- reconcile.py: stale pending-run sweep (threads.search -> per-thread runs.list
-> cancel_many), wired into the scheduler graph via task='reconcile'
- shared DEFAULT_HTTP_TIMEOUT (agent/utils/http.py) on every bare
httpx.AsyncClient() across utils/dashboard/webapp/middleware
- run budget: MODEL_CALL_RECURSION_LIMIT 5000->250
- fix stale OpenAI->Anthropic fallback id (claude-opus-4-5 -> 4-8)
- drop redundant custom repair middleware (deepagents auto-adds PatchToolCalls)
- confirm tool-result eviction + summarization auto-wired via backend
- slim system prompt ~8% (full harness-profile rewrite deferred)
Co-authored-by: open-swe[bot]
* feat(rebuild): harness-profile prompt + split webhooks out of webapp
- prompt.py: own the system prompt via a registered harness profile
(OPEN_SWE_SHARED_BASE, kept neutral so the read-only reviewer/analyzer that
share it stay safe), registered across all 4 providers; per-thread values
stay in construct_system_prompt. Assembled main-agent prompt ~6.8k -> ~3.1k
tokens (~55% smaller); de-duped PR/commit/suite/force-push guidance; dropped
ALL-CAPS markers.
- webapp.py 3325 -> 1890 LOC: moved 14 per-source handlers into
agent/webhooks/{linear,slack,github}.py; webapp re-exports them for the
routes + tests; moved handlers reach shared helpers via the webapp namespace
to preserve the test suite's monkeypatch targets.
Full suite: 1168 passing, lint clean.
Co-authored-by: open-swe[bot]
* Restore MODEL_CALL_RECURSION_LIMIT to 5000 for long-running tasks
Reverts the 250 cap from the run-budget change — long-running tasks legitimately
need many model calls. The notify_step_limit_reached safety net still fires if a
run does hit the cap, so runs end with a signal either way.
Co-authored-by: open-swe[bot]
* fix: address PR review (auth, SSRF, interrupted status, redirect headers)
- completion.py: drop `interrupted` from failure statuses — with
multitask_strategy=interrupt a follow-up ends the prior run as interrupted,
which is healthy, not a failure to report. [open-swe]
- /webhooks/run-complete: shared-secret auth — dispatch appends ?token= when
RUN_COMPLETE_WEBHOOK_SECRET is set; route verifies via hmac.compare_digest.
[corridor-security]
- SSRF: extract the URL validator to agent/utils/url_safety.py and apply it
before server-side image fetches in multimodal.fetch_image_block.
[corridor-security]
- http_request: preserve caller headers/extensions across redirect hops instead
of dropping them on the first hop. [open-swe]
Co-authored-by: open-swe[bot]
* chore: remove REBUILD_PLAN.md (planning doc, not needed in the repo)
Co-authored-by: open-swe[bot]
* fix: fail closed on run-complete webhook auth when secret unset
Corridor follow-up: verify_run_complete_token returns False (not True) when
RUN_COMPLETE_WEBHOOK_SECRET is unset, so the public route is never
unauthenticated. Logs a startup warning when the secret is absent, and dispatch
skips registering the webhook when there's no secret (no rejected callbacks).
Co-authored-by: open-swe[bot]
---------
Co-authored-by: open-swe[bot] <open-swe@users.noreply.github.com>
84 lines
3 KiB
Python
84 lines
3 KiB
Python
"""Shared LangGraph thread helpers for the dashboard.
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The webhook triggers (Slack / Linear / GitHub) dispatch through
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``agent.dispatch.dispatch_agent_run`` with ``multitask_strategy="interrupt"``,
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so they no longer need a busy-check or an in-process lock. The store-queue
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below is retained for the dashboard's deliberate "inject a follow-up into a
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run that's already in flight" path (``thread_api.send_dashboard_message``).
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"""
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from __future__ import annotations
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import logging
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import os
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from typing import Any
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from langgraph_sdk import get_client
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logger = logging.getLogger(__name__)
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MAX_QUEUED_MESSAGES = 100
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def langgraph_url() -> str:
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return os.environ.get("LANGGRAPH_URL") or os.environ.get(
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"LANGGRAPH_URL_PROD", "http://localhost:2024"
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)
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def langgraph_client():
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return get_client(url=langgraph_url())
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async def get_thread_active_status(thread_id: str) -> bool | None:
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"""Return whether the thread is active, or None when status cannot be determined."""
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try:
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thread = await langgraph_client().threads.get(thread_id)
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status = thread.get("status", "idle") if isinstance(thread, dict) else "idle"
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logger.info("Thread %s status check: status=%s", thread_id, status)
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return status == "busy"
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except Exception as exc: # noqa: BLE001
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logger.warning("Failed to get thread status for %s: %s", thread_id, exc)
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return None
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async def queue_message_for_thread(
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thread_id: str, message_content: str | list[dict[str, Any]] | dict[str, Any]
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) -> bool:
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"""Queue a follow-up message for a busy thread (FIFO store namespace).
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Used by the dashboard to inject a follow-up into a run that's already in
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flight; webhook triggers use ``multitask_strategy="interrupt"`` instead.
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"""
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client = langgraph_client()
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try:
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namespace = ("queue", thread_id)
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key = "pending_messages"
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new_message = {"content": message_content}
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existing_messages: list[dict[str, Any]] = []
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try:
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existing_item = await client.store.get_item(namespace, key)
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if existing_item and existing_item.get("value"):
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existing_messages = existing_item["value"].get("messages", [])
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except Exception: # noqa: BLE001
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logger.debug("No existing queued messages for thread %s", thread_id)
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existing_messages.append(new_message)
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if len(existing_messages) > MAX_QUEUED_MESSAGES:
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existing_messages = existing_messages[-MAX_QUEUED_MESSAGES:]
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logger.warning(
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"Thread %s queue capped at %d messages (dropped oldest)",
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thread_id,
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MAX_QUEUED_MESSAGES,
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)
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await client.store.put_item(namespace, key, {"messages": existing_messages})
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logger.info(
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"Queued message for thread %s (total queued: %d)",
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thread_id,
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len(existing_messages),
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)
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return True
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except Exception:
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logger.exception("Failed to queue message for thread %s", thread_id)
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return False
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