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https://github.com/Sea-Haven-Industries/open-swe.git
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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>
263 lines
10 KiB
Python
263 lines
10 KiB
Python
"""REST API for the plan-review page: read the plan, comment, approve, or request
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changes — all plain HTTP, no CRDT/WebSocket.
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Reviewers leave whole-document comments via this API; they're stored server-side
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and listed for everyone who can read the thread. On approve/reject the comments
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are read back here, formatted, and handed to the agent as the instruction for the
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follow-up run. The agent never sees comments during review — only this aggregated
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feedback at the decision point.
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Permissions: any authenticated org member can read a surfaced thread, comment, and
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request changes (reject); only the thread owner can approve. A comment can be
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deleted by its author or the thread owner.
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"""
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from __future__ import annotations
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import logging
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from typing import Any
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from fastapi import APIRouter, Depends, HTTPException
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from langgraph_sdk import get_client
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from pydantic import BaseModel
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from ..dispatch import dispatch_agent_run
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from .oauth import require_same_origin_for_mutations, require_session
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from .plan_store import (
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PLAN_STATUS_APPROVED,
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PLAN_STATUS_CANCELLED,
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PLAN_STATUS_READY,
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PLAN_STATUS_REVISING,
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add_plan_comment,
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delete_plan_comment,
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get_plan_content,
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list_plan_comments,
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save_plan_content,
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set_plan_status,
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write_plan_to_sandbox,
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)
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from .thread_api import (
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_repo_config_from_metadata,
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_thread_is_readable,
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_thread_source,
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_user_owns_thread,
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)
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logger = logging.getLogger(__name__)
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plan_router = APIRouter(
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prefix="/dashboard/api/plan",
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tags=["plan"],
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dependencies=[Depends(require_same_origin_for_mutations)],
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)
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_SESSION_DEP = Depends(require_session)
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class CommentBody(BaseModel):
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body: str
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class PlanUpdate(BaseModel):
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markdown: str
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async def _thread_metadata(thread_id: str) -> dict[str, Any]:
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client = get_client()
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try:
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thread = await client.threads.get(thread_id)
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except Exception as exc: # noqa: BLE001
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raise HTTPException(404, "thread not found") from exc
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metadata = (
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thread.get("metadata") if isinstance(thread, dict) else getattr(thread, "metadata", None)
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)
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return metadata if isinstance(metadata, dict) else {}
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@plan_router.get("/{thread_id}")
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async def get_plan(thread_id: str, session: dict[str, Any] = _SESSION_DEP) -> dict[str, Any]:
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metadata = await _thread_metadata(thread_id)
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if not _thread_is_readable(metadata):
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raise HTTPException(404, "thread not found")
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login = session["sub"]
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email = session.get("email")
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content = await get_plan_content(thread_id) or {}
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return {
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"threadId": thread_id,
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"status": content.get("status") or metadata.get("plan_status") or "planning",
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"markdown": content.get("markdown", ""),
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"isOwner": _user_owns_thread(metadata, login, email),
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"user": {
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"id": login,
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"login": login,
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"email": email,
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"name": session.get("name") or login,
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},
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}
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@plan_router.put("/{thread_id}")
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async def update_plan(
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thread_id: str, body: PlanUpdate, session: dict[str, Any] = _SESSION_DEP
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) -> dict[str, Any]:
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"""Owner-only manual edit of the plan markdown.
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Re-publishes the edited plan as ``ready`` (and mirrors it into the sandbox
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``plan.md``) while preserving reviewer comments, so the owner can refine the
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plan before approving it."""
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metadata = await _thread_metadata(thread_id)
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if not _user_owns_thread(metadata, session["sub"], session.get("email")):
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raise HTTPException(403, "only the plan owner can edit the plan")
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markdown = body.markdown.strip()
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if not markdown:
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raise HTTPException(422, "plan markdown cannot be empty")
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content = await get_plan_content(thread_id) or {}
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status = content.get("status") or metadata.get("plan_status") or "planning"
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if status in (PLAN_STATUS_APPROVED, PLAN_STATUS_CANCELLED):
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raise HTTPException(409, f"cannot edit a {status} plan")
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await save_plan_content(
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thread_id, markdown=markdown, status=PLAN_STATUS_READY, clear_comments=False
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)
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await write_plan_to_sandbox(thread_id, markdown)
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return {"status": PLAN_STATUS_READY, "markdown": markdown}
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@plan_router.get("/{thread_id}/comments")
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async def get_plan_comments(
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thread_id: str, session: dict[str, Any] = _SESSION_DEP
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) -> dict[str, Any]:
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metadata = await _thread_metadata(thread_id)
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if not _thread_is_readable(metadata):
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raise HTTPException(404, "thread not found")
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return {"comments": await list_plan_comments(thread_id)}
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@plan_router.post("/{thread_id}/comments")
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async def post_plan_comment(
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thread_id: str, body: CommentBody, session: dict[str, Any] = _SESSION_DEP
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) -> dict[str, Any]:
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metadata = await _thread_metadata(thread_id)
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if not _thread_is_readable(metadata):
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raise HTTPException(404, "thread not found")
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text = body.body.strip()
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if not text:
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raise HTTPException(422, "comment body cannot be empty")
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login = session["sub"]
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return await add_plan_comment(
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thread_id, author=session.get("name") or login, author_login=login, body=text
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)
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@plan_router.delete("/{thread_id}/comments/{comment_id}")
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async def remove_plan_comment(
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thread_id: str, comment_id: str, session: dict[str, Any] = _SESSION_DEP
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) -> dict[str, Any]:
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metadata = await _thread_metadata(thread_id)
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if not _thread_is_readable(metadata):
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raise HTTPException(404, "thread not found")
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comments = await list_plan_comments(thread_id)
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target = next((c for c in comments if c.get("id") == comment_id), None)
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if target is None:
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raise HTTPException(404, "comment not found")
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login = session["sub"]
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is_owner = _user_owns_thread(metadata, login, session.get("email"))
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if target.get("author_login") != login and not is_owner:
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raise HTTPException(403, "only the author or the plan owner can delete a comment")
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await delete_plan_comment(thread_id, comment_id)
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return {"ok": True}
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@plan_router.post("/{thread_id}/approve")
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async def approve_plan(thread_id: str, session: dict[str, Any] = _SESSION_DEP) -> dict[str, Any]:
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metadata = await _thread_metadata(thread_id)
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if not _user_owns_thread(metadata, session["sub"], session.get("email")):
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raise HTTPException(403, "only the plan owner can approve")
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# Read the published plan + comments BEFORE mutating state: a store failure
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# here aborts the decision (500) rather than dispatching without them. The
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# published markdown may have been edited by the reviewer, so it is the
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# source of truth handed to the agent (not its own stale history) — read it
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# strictly so a transient failure can't silently drop the edit.
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content = await get_plan_content(thread_id, raise_on_error=True) or {}
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plan_markdown = str(content.get("markdown", "")).strip()
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feedback = _format_comments(await list_plan_comments(thread_id, raise_on_error=True))
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await set_plan_status(thread_id, PLAN_STATUS_APPROVED, plan_mode=False)
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if plan_markdown:
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text = (
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"The plan has been approved. Implement it now exactly as written "
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"below (it may have been edited by the reviewer, so treat this as "
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f"the source of truth):\n\n{plan_markdown}"
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)
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else:
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text = "The plan has been approved. Implement it now as described in the plan."
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if feedback:
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text += "\n\nAlso take this reviewer feedback into account:\n\n" + feedback
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await _dispatch_followup(thread_id, metadata, text, plan_mode=False)
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return {"status": PLAN_STATUS_APPROVED}
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@plan_router.post("/{thread_id}/reject")
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async def reject_plan(thread_id: str, session: dict[str, Any] = _SESSION_DEP) -> dict[str, Any]:
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metadata = await _thread_metadata(thread_id)
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if not _thread_is_readable(metadata):
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raise HTTPException(404, "thread not found")
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feedback = _format_comments(await list_plan_comments(thread_id, raise_on_error=True))
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await set_plan_status(thread_id, PLAN_STATUS_REVISING, plan_mode=True)
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text = (
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"The plan needs changes before implementation. Address this reviewer "
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"feedback and publish an updated plan with the save_plan tool:\n\n"
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f"{feedback or '(no specific comments were left)'}"
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)
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await _dispatch_followup(thread_id, metadata, text, plan_mode=True)
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return {"status": PLAN_STATUS_REVISING}
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def _format_comments(comments: list[dict[str, Any]]) -> str:
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lines: list[str] = []
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index = 1
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for comment in comments:
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body = str(comment.get("body", "")).strip()
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if not body:
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continue
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author = str(comment.get("author") or "reviewer").strip()
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lines.append(f"{index}. {author}: {body}")
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index += 1
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return "\n".join(lines)
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async def _dispatch_followup(
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thread_id: str, metadata: dict[str, Any], text: str, *, plan_mode: bool
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) -> None:
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"""Continue the existing thread with a new instruction run.
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Runs on the same LangGraph thread, so the agent resumes from the checkpoint
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with the full planning history plus this instruction. The configurable is
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rebuilt from the thread's stored owner/repo/Slack context so the agent can
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push, open a PR, and reply in the original channel.
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"""
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configurable: dict[str, Any] = {
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"thread_id": thread_id,
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"source": _thread_source(metadata) or "slack",
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}
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email = metadata.get("triggering_user_email")
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if isinstance(email, str) and email:
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configurable["user_email"] = email
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login = metadata.get("github_login")
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if isinstance(login, str) and login:
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configurable["github_login"] = login
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repo = _repo_config_from_metadata(metadata)
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if repo:
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configurable["repo"] = repo
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source_context = metadata.get("source_context")
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if isinstance(source_context, dict):
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slack_thread = source_context.get("slack_thread")
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if isinstance(slack_thread, dict):
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configurable["slack_thread"] = slack_thread
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# Carry the decision to the follow-up run: approve continues out of plan
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# mode (implement), reject stays in plan mode (revise the plan).
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configurable["plan_mode"] = plan_mode
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await dispatch_agent_run(
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thread_id,
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text,
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configurable,
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source=configurable["source"],
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)
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