open-swe/agent/utils/thread_ops.py

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refactor: durable interrupt dispatch + completion webhook (#1621) * 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>
2026-06-26 13:48:38 -07:00
"""Shared LangGraph thread helpers for the dashboard.
The webhook triggers (Slack / Linear / GitHub) dispatch through
``agent.dispatch.dispatch_agent_run`` with ``multitask_strategy="interrupt"``,
so they no longer need a busy-check or an in-process lock. The store-queue
below is retained for the dashboard's deliberate "inject a follow-up into a
run that's already in flight" path (``thread_api.send_dashboard_message``).
"""
feat: add Agents chat UI for cloud threads (#1323) * 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>
2026-05-22 11:15:59 -07:00
from __future__ import annotations
import logging
import os
from typing import Any
from langgraph_sdk import get_client
logger = logging.getLogger(__name__)
MAX_QUEUED_MESSAGES = 100
feat: add Agents chat UI for cloud threads (#1323) * 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>
2026-05-22 11:15:59 -07:00
def langgraph_url() -> str:
return os.environ.get("LANGGRAPH_URL") or os.environ.get(
"LANGGRAPH_URL_PROD", "http://localhost:2024"
)
def langgraph_client():
return get_client(url=langgraph_url())
async def get_thread_active_status(thread_id: str) -> bool | None:
"""Return whether the thread is active, or None when status cannot be determined."""
feat: add Agents chat UI for cloud threads (#1323) * 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>
2026-05-22 11:15:59 -07:00
try:
thread = await langgraph_client().threads.get(thread_id)
status = thread.get("status", "idle") if isinstance(thread, dict) else "idle"
logger.info("Thread %s status check: status=%s", thread_id, status)
return status == "busy"
except Exception as exc: # noqa: BLE001
logger.warning("Failed to get thread status for %s: %s", thread_id, exc)
return None
feat: add Agents chat UI for cloud threads (#1323) * 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>
2026-05-22 11:15:59 -07:00
async def queue_message_for_thread(
thread_id: str, message_content: str | list[dict[str, Any]] | dict[str, Any]
) -> bool:
refactor: durable interrupt dispatch + completion webhook (#1621) * 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>
2026-06-26 13:48:38 -07:00
"""Queue a follow-up message for a busy thread (FIFO store namespace).
Used by the dashboard to inject a follow-up into a run that's already in
flight; webhook triggers use ``multitask_strategy="interrupt"`` instead.
"""
feat: add Agents chat UI for cloud threads (#1323) * 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>
2026-05-22 11:15:59 -07:00
client = langgraph_client()
try:
namespace = ("queue", thread_id)
key = "pending_messages"
new_message = {"content": message_content}
existing_messages: list[dict[str, Any]] = []
try:
existing_item = await client.store.get_item(namespace, key)
if existing_item and existing_item.get("value"):
existing_messages = existing_item["value"].get("messages", [])
except Exception: # noqa: BLE001
logger.debug("No existing queued messages for thread %s", thread_id)
existing_messages.append(new_message)
if len(existing_messages) > MAX_QUEUED_MESSAGES:
existing_messages = existing_messages[-MAX_QUEUED_MESSAGES:]
logger.warning(
"Thread %s queue capped at %d messages (dropped oldest)",
thread_id,
MAX_QUEUED_MESSAGES,
)
feat: add Agents chat UI for cloud threads (#1323) * 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>
2026-05-22 11:15:59 -07:00
await client.store.put_item(namespace, key, {"messages": existing_messages})
logger.info(
"Queued message for thread %s (total queued: %d)",
thread_id,
len(existing_messages),
)
return True
except Exception:
logger.exception("Failed to queue message for thread %s", thread_id)
return False