From 25593138721be8980ecd6445ec7ef820c0714947 Mon Sep 17 00:00:00 2001
From: QinRui
Date: Sun, 12 Apr 2026 22:19:57 +0800
Subject: [PATCH 19/48] fix(chat): deduplicate image display - strip markers
always but only render thumbnail when imageUrl absent
---
frontend/src/pages/AgentDetail.tsx | 12 ++++++++----
1 file changed, 8 insertions(+), 4 deletions(-)
diff --git a/frontend/src/pages/AgentDetail.tsx b/frontend/src/pages/AgentDetail.tsx
index 8f68da39d..0d88e46be 100644
--- a/frontend/src/pages/AgentDetail.tsx
+++ b/frontend/src/pages/AgentDetail.tsx
@@ -2166,15 +2166,19 @@ function AgentDetailInner() {
// Parse [image_data:data:image/...;base64,...] markers from user message content.
// The backend persists these markers in the DB to preserve multimodal context
- // across turns. They must be stripped from the display text and rendered as
- // image thumbnails instead, so users never see raw base64 strings.
+ // across turns. They must ALWAYS be stripped from displayContent so users never
+ // see raw base64 strings in the chat bubble.
+ // Guard: only collect extracted images for thumbnail rendering when msg.imageUrl
+ // is NOT already set — otherwise the image is already shown via the isImage path
+ // and rendering again from the marker would display it twice.
const IMAGE_DATA_RE = /\[image_data:(data:image\/[^;]+;base64,[^\]]+)\]/g;
const inlineImages: string[] = [];
let displayContent = msg.content || '';
if (displayContent.includes('[image_data:')) {
displayContent = displayContent.replace(IMAGE_DATA_RE, (_: string, dataUrl: string) => {
- inlineImages.push(dataUrl);
- return '';
+ // Only collect for thumbnail rendering if not already shown via imageUrl
+ if (!msg.imageUrl) inlineImages.push(dataUrl);
+ return ''; // always strip the marker from displayed text
}).trim();
}
From 74325a83da86a832c722700f3f1162675a62c966 Mon Sep 17 00:00:00 2001
From: haoyi <39499740@qq.com>
Date: Thu, 9 Apr 2026 00:35:59 +0800
Subject: [PATCH 20/48] feat: differentiate send_message_to_agent by msg_type
(notify/consult/task_delegate)
Implement async A2A communication patterns as proposed in upstream #310.
- notify: fire-and-forget, saves message and wakes target asynchronously,
returns immediately
- task_delegate: async with callback, creates focus item + on_message
trigger on source agent, wakes target asynchronously, source agent is
notified when target completes
- consult: synchronous request-response (unchanged from original behaviour)
Add helper functions:
- _resolve_a2a_target: shared agent lookup logic
- _ensure_a2a_session: shared session creation logic
- _create_on_message_trigger: programmatic trigger creation
- _append_focus_item: write focus items to agent workspace
- _wake_agent_async: wake target agent via trigger invocation path
- trigger_daemon.wake_agent_with_context: public API for waking agents
Update tool descriptions in agent_tools.py and tool_seeder.py to
document the new msg_type behaviours.
Refs: dataelement/Clawith#310
---
backend/app/services/agent_tools.py | 273 +++++++++++++++++++++++--
backend/app/services/tool_seeder.py | 4 +-
backend/app/services/trigger_daemon.py | 22 ++
3 files changed, 276 insertions(+), 23 deletions(-)
diff --git a/backend/app/services/agent_tools.py b/backend/app/services/agent_tools.py
index e82b88c1b..c1c216f3e 100644
--- a/backend/app/services/agent_tools.py
+++ b/backend/app/services/agent_tools.py
@@ -532,7 +532,7 @@ async def _get_tool_config(agent_id: Optional[uuid.UUID], tool_name: str) -> Opt
"type": "function",
"function": {
"name": "send_message_to_agent",
- "description": "Send a message to a digital employee colleague and receive a reply. The recipient is another AI agent, not a human. This triggers the recipient's LLM reasoning and returns their response. Suitable for asking questions, delegating tasks, or collaboration. Your relationships.md lists available digital employees under 'Digital Employee Colleagues'.",
+ "description": "Send a message to a digital employee colleague. The recipient is another AI agent, not a human. Behaviour depends on msg_type: notify = fire-and-forget, returns immediately; consult = synchronous, waits for reply; task_delegate = async, returns immediately and you will be notified when they finish. Your relationships.md lists available digital employees under 'Digital Employee Colleagues'.",
"parameters": {
"type": "object",
"properties": {
@@ -547,7 +547,7 @@ async def _get_tool_config(agent_id: Optional[uuid.UUID], tool_name: str) -> Opt
"msg_type": {
"type": "string",
"enum": ["notify", "consult", "task_delegate"],
- "description": "Message type: notify (notification), consult (ask a question), task_delegate (delegate a task). Defaults to notify.",
+ "description": "Message type: notify = fire-and-forget notification (async, no reply expected, returns immediately); consult = synchronous question (waits for reply); task_delegate = delegate a task (async, returns immediately, you will be woken when the target completes). Defaults to notify.",
},
},
"required": ["agent_name", "message"],
@@ -4580,13 +4580,191 @@ async def _send_file_to_agent(from_agent_id: uuid.UUID, ws: Path, args: dict) ->
return f"❌ Agent file send error: {str(e)[:200]}"
+async def _resolve_a2a_target(
+ db, from_agent_id: uuid.UUID, agent_name: str
+) -> tuple[AgentModel | None, str | None]:
+ """Resolve the target agent for A2A communication.
+
+ Returns (target_agent, error_message). If target is None, error_message
+ explains why. Caller is responsible for relationship / expiry checks.
+ """
+ src_result = await db.execute(select(AgentModel).where(AgentModel.id == from_agent_id))
+ source_agent = src_result.scalar_one_or_none()
+ source_tenant_id = source_agent.tenant_id if source_agent else None
+
+ base_filter = [AgentModel.id != from_agent_id]
+ if source_tenant_id:
+ base_filter.append(AgentModel.tenant_id == source_tenant_id)
+
+ exact_result = await db.execute(
+ select(AgentModel).where(AgentModel.name == agent_name, *base_filter)
+ )
+ target = exact_result.scalars().first()
+ if not target:
+ safe_name = agent_name.replace("%", "").replace("_", r"\_")
+ fuzzy_result = await db.execute(
+ select(AgentModel).where(AgentModel.name.ilike(f"%{safe_name}%"), *base_filter)
+ )
+ target = fuzzy_result.scalars().first()
+ if not target:
+ rel_r = await db.execute(
+ select(AgentModel.name).join(
+ AgentAgentRelationship,
+ (AgentAgentRelationship.target_agent_id == AgentModel.id) & (AgentAgentRelationship.agent_id == from_agent_id)
+ )
+ )
+ rel_names = [n for (n,) in rel_r.all()]
+ return None, f"❌ No agent found matching '{agent_name}'. Your connected colleagues: {', '.join(rel_names) if rel_names else 'none — ask your administrator to set up relationships'}"
+
+ return target, None
+
+
+async def _ensure_a2a_session(
+ db, from_agent_id: uuid.UUID, target_id: uuid.UUID, source_name: str, owner_id: uuid.UUID
+) -> tuple[ChatSession, str]:
+ """Find or create the ChatSession for a pair of agents.
+
+ Returns (chat_session, session_id_str).
+ """
+ from app.models.participant import Participant
+
+ session_agent_id = min(from_agent_id, target_id, key=str)
+ session_peer_id = max(from_agent_id, target_id, key=str)
+ sess_r = await db.execute(
+ select(ChatSession).where(
+ ChatSession.agent_id == session_agent_id,
+ ChatSession.peer_agent_id == session_peer_id,
+ ChatSession.source_channel == "agent",
+ )
+ )
+ chat_session = sess_r.scalar_one_or_none()
+ if not chat_session:
+ src_part_r = await db.execute(select(Participant).where(Participant.type == "agent", Participant.ref_id == from_agent_id))
+ src_participant = src_part_r.scalar_one_or_none()
+ src_part_id = src_participant.id if src_participant else None
+ chat_session = ChatSession(
+ agent_id=session_agent_id,
+ user_id=owner_id,
+ title=f"{source_name} ↔ {(await db.execute(select(AgentModel.name).where(AgentModel.id == target_id))).scalar() or 'Unknown'}",
+ source_channel="agent",
+ participant_id=src_part_id,
+ peer_agent_id=session_peer_id,
+ )
+ db.add(chat_session)
+ await db.flush()
+ return chat_session, str(chat_session.id)
+
+
+async def _create_on_message_trigger(
+ agent_id: uuid.UUID,
+ trigger_name: str,
+ from_agent_name: str,
+ reason: str,
+ focus_ref: str | None = None,
+) -> None:
+ """Programmatically create an on_message trigger for an agent."""
+ from app.models.trigger import AgentTrigger
+
+ config: dict = {"from_agent_name": from_agent_name}
+
+ try:
+ from app.models.audit import ChatMessage as _CM
+ from app.models.chat_session import ChatSession as _CS
+ from sqlalchemy import cast as sa_cast, String as SaString
+ async with async_session() as _snap_db:
+ _snap_q = select(_CM.created_at).join(
+ _CS, _CM.conversation_id == sa_cast(_CS.id, SaString)
+ ).where(
+ _CS.agent_id == agent_id,
+ _CM.created_at.isnot(None),
+ ).order_by(_CM.created_at.desc()).limit(1)
+ _snap_r = await _snap_db.execute(_snap_q)
+ _latest_ts = _snap_r.scalar_one_or_none()
+ if _latest_ts:
+ config["_since_ts"] = _latest_ts.isoformat()
+ except Exception:
+ pass
+
+ async with async_session() as db:
+ result = await db.execute(
+ select(AgentTrigger).where(
+ AgentTrigger.agent_id == agent_id,
+ AgentTrigger.name == trigger_name,
+ )
+ )
+ existing = result.scalar_one_or_none()
+ if existing:
+ if existing.is_enabled:
+ existing.config = {**(existing.config or {}), **config}
+ existing.reason = reason
+ if focus_ref:
+ existing.focus_ref = focus_ref
+ await db.commit()
+ return
+ else:
+ existing.type = "on_message"
+ existing.config = config
+ existing.reason = reason
+ existing.focus_ref = focus_ref or None
+ existing.is_enabled = True
+ await db.commit()
+ return
+
+ trigger = AgentTrigger(
+ agent_id=agent_id,
+ name=trigger_name,
+ type="on_message",
+ config=config,
+ reason=reason,
+ focus_ref=focus_ref or None,
+ )
+ db.add(trigger)
+ await db.commit()
+
+
+async def _append_focus_item(agent_id: uuid.UUID, identifier: str, description: str) -> None:
+ """Append a pending focus item to the agent's focus.md."""
+ focus_path = WORKSPACE_ROOT / str(agent_id) / "focus.md"
+ line = f"- [ ] {identifier}: {description}\n"
+ try:
+ if focus_path.exists():
+ content = focus_path.read_text(encoding="utf-8")
+ if identifier in content:
+ return
+ if not content.endswith("\n"):
+ content += "\n"
+ content += line
+ else:
+ content = f"# Focus\n\n{line}"
+ focus_path.parent.mkdir(parents=True, exist_ok=True)
+ focus_path.write_text(content, encoding="utf-8")
+ except Exception as e:
+ logger.warning(f"[A2A] Failed to update focus.md for agent {agent_id}: {e}")
+
+
+async def _wake_agent_async(agent_id: uuid.UUID, reason_context: str) -> None:
+ """Wake an agent asynchronously via the trigger invocation path.
+
+ Delegates to the public wake_agent_with_context API in trigger_daemon.
+ """
+ from app.services.trigger_daemon import wake_agent_with_context
+ await wake_agent_with_context(agent_id, reason_context)
+
+
async def _send_message_to_agent(from_agent_id: uuid.UUID, args: dict) -> str:
- """Send a message to another digital employee. Uses a single request-response pattern:
- the source agent sends a message, the target agent replies once, and the result is returned.
- If the source agent needs to continue the conversation, it can call this tool again.
+ """Send a message to another digital employee.
+
+ Behaviour depends on ``msg_type``:
+ - notify: fire-and-forget — message is saved, target is woken asynchronously.
+ Returns immediately.
+ - task_delegate: async with callback — message is saved, source agent sets up
+ a focus item + on_message trigger so it is notified when the
+ target completes the task. Returns immediately.
+ - consult: synchronous request-response (original behaviour).
"""
agent_name = args.get("agent_name", "").strip()
message_text = args.get("message", "").strip()
+ msg_type = args.get("msg_type", "notify").strip().lower()
if not agent_name or not message_text:
return "❌ Please provide target agent name and message content"
@@ -4717,6 +4895,75 @@ async def _send_message_to_agent(from_agent_id: uuid.UUID, args: dict) -> str:
status_hint = "online" if online else "offline (message will be delivered on next heartbeat)"
return f"✅ Message sent to {target.name} (OpenClaw agent, currently {status_hint}). The message has been queued and will be delivered when the agent polls for updates."
+ # ── Native target: branch by msg_type ──
+
+ # Save source message (common to all paths)
+ db.add(ChatMessage(
+ agent_id=session_agent_id,
+ user_id=owner_id,
+ role="user",
+ content=message_text,
+ conversation_id=session_id,
+ participant_id=src_participant.id if src_participant else None,
+ ))
+ chat_session.last_message_at = datetime.now(timezone.utc)
+ await db.commit()
+
+ # ── notify: fire-and-forget ──
+ if msg_type == "notify":
+ from app.services.activity_logger import log_activity
+ await log_activity(
+ from_agent_id, "agent_msg_sent",
+ f"Sent notification to {target.name}",
+ detail={"partner": target.name, "message": message_text[:200], "msg_type": "notify"},
+ )
+
+ await _wake_agent_async(
+ target.id,
+ f"[From {source_name}] {message_text}",
+ )
+
+ return f"✅ Notification sent to {target.name}. They will process it asynchronously."
+
+ # ── task_delegate: async with callback ──
+ if msg_type == "task_delegate":
+ focus_id = f"wait_{target.name.lower().replace(' ', '_')}_task"
+ focus_desc = f"Waiting for {target.name} to complete delegated task: {message_text[:100]}"
+
+ await _append_focus_item(from_agent_id, focus_id, focus_desc)
+
+ trigger_name = f"a2a_wait_{target.name.lower().replace(' ', '_')}"
+ trigger_reason = (
+ f"{target.name} is expected to reply after completing a delegated task. "
+ f"Original task: {message_text[:200]}. "
+ f"When {target.name} replies: 1) Process the result. "
+ f"2) Notify the user if needed. "
+ f"3) Mark focus item '{focus_id}' as completed. "
+ f"4) Cancel this trigger."
+ )
+ await _create_on_message_trigger(
+ agent_id=from_agent_id,
+ trigger_name=trigger_name,
+ from_agent_name=target.name,
+ reason=trigger_reason,
+ focus_ref=focus_id,
+ )
+
+ from app.services.activity_logger import log_activity
+ await log_activity(
+ from_agent_id, "agent_msg_sent",
+ f"Delegated task to {target.name}",
+ detail={"partner": target.name, "message": message_text[:200], "msg_type": "task_delegate"},
+ )
+
+ await _wake_agent_async(
+ target.id,
+ f"[From {source_name}] {message_text}",
+ )
+
+ return f"✅ Task delegated to {target.name}. You will be notified when they complete it."
+
+ # ── consult (default): synchronous request-response ──
# Prepare target LLM
from app.services.agent_context import build_agent_context
from app.models.llm import LLMModel
@@ -4768,24 +5015,8 @@ async def _send_message_to_agent(from_agent_id: uuid.UUID, args: dict) -> str:
role = "assistant"
conversation_messages.append({"role": role, "content": m.content})
- # Add the new message from source
conversation_messages.append({"role": "user", "content": f"[From {source_name}] {message_text}"})
- # Save source message
- owner_id = source_agent.creator_id if source_agent else from_agent_id
- db.add(ChatMessage(
- agent_id=session_agent_id,
- user_id=owner_id,
- role="user",
- content=message_text,
- conversation_id=session_id,
- participant_id=src_participant.id if src_participant else None,
- ))
- chat_session.last_message_at = datetime.now(timezone.utc)
- await db.commit()
-
- # Call target LLM with tool support (multi-round)
- import asyncio
import random
import httpx
from app.services.llm_utils import (
diff --git a/backend/app/services/tool_seeder.py b/backend/app/services/tool_seeder.py
index 761baff7b..017b1e350 100644
--- a/backend/app/services/tool_seeder.py
+++ b/backend/app/services/tool_seeder.py
@@ -272,7 +272,7 @@
{
"name": "send_message_to_agent",
"display_name": "Agent Message",
- "description": "Send a message to a digital employee colleague and receive a reply. Suitable for questions, delegation, or collaboration.",
+ "description": "Send a message to a digital employee colleague. notify = fire-and-forget (async); consult = synchronous question (waits for reply); task_delegate = delegate a task (async, you will be notified when done).",
"category": "communication",
"icon": "🤖",
"is_default": True,
@@ -281,7 +281,7 @@
"properties": {
"agent_name": {"type": "string", "description": "Target agent name"},
"message": {"type": "string", "description": "Message content"},
- "msg_type": {"type": "string", "enum": ["notify", "consult", "task_delegate"], "description": "Message type: notify (notification), consult (ask a question), task_delegate (delegate a task)"},
+ "msg_type": {"type": "string", "enum": ["notify", "consult", "task_delegate"], "description": "Message type: notify = fire-and-forget (async, no reply); consult = synchronous (waits for reply); task_delegate = async delegation (notified when done). Defaults to notify."},
},
"required": ["agent_name", "message"],
},
diff --git a/backend/app/services/trigger_daemon.py b/backend/app/services/trigger_daemon.py
index be052566e..1c0caaf43 100644
--- a/backend/app/services/trigger_daemon.py
+++ b/backend/app/services/trigger_daemon.py
@@ -693,6 +693,28 @@ async def _tick():
asyncio.create_task(_invoke_agent_for_triggers(agent_id, agent_triggers))
+async def wake_agent_with_context(agent_id: uuid.UUID, message_context: str) -> None:
+ """Public API: wake an agent asynchronously with a message context.
+
+ Creates a synthetic trigger invocation so the agent processes the
+ message in a Reflection Session via the standard trigger path.
+ Safe to call from any async context.
+ """
+ now = datetime.now(timezone.utc)
+ dummy_trigger = AgentTrigger(
+ id=uuid.uuid4(),
+ agent_id=agent_id,
+ name="a2a_wake",
+ type="on_message",
+ config={"from_agent_name": "", "_matched_message": message_context[:2000], "_matched_from": "agent"},
+ reason="Received an A2A message. Process it and act accordingly.",
+ is_enabled=True,
+ last_fired_at=now,
+ fire_count=0,
+ )
+ asyncio.create_task(_invoke_agent_for_triggers(agent_id, [dummy_trigger]))
+
+
async def start_trigger_daemon():
"""Start the background trigger daemon loop. Called from FastAPI startup."""
logger.info("⚡ Trigger Daemon started (15s tick, heartbeat every ~60s)")
From ac26e6d833ac3e38c716fac287afa969c2c5f961 Mon Sep 17 00:00:00 2001
From: haoyi <39499740@qq.com>
Date: Thu, 9 Apr 2026 00:54:21 +0800
Subject: [PATCH 21/48] test: add unit tests for async A2A msg_type
differentiation
11 tests covering:
- notify: returns immediately, wakes target async
- task_delegate: creates focus item + on_message trigger, wakes target async
- consult: calls LLM synchronously, returns reply
- default msg_type falls back to notify
- error cases: missing agent_name, no relationship
- helper functions: _append_focus_item, _create_on_message_trigger,
_wake_agent_async
- OpenClaw targets still use gateway queue regardless of msg_type
---
backend/tests/test_a2a_msg_type.py | 504 ++++
backend/uv.lock | 3651 ++++++++++++++++++++++++++++
2 files changed, 4155 insertions(+)
create mode 100644 backend/tests/test_a2a_msg_type.py
create mode 100644 backend/uv.lock
diff --git a/backend/tests/test_a2a_msg_type.py b/backend/tests/test_a2a_msg_type.py
new file mode 100644
index 000000000..f8c19e49a
--- /dev/null
+++ b/backend/tests/test_a2a_msg_type.py
@@ -0,0 +1,504 @@
+"""Tests for async A2A msg_type differentiation (notify/consult/task_delegate).
+
+Validates the branching logic in _send_message_to_agent:
+- notify: fire-and-forget, returns immediately
+- task_delegate: async with callback, creates focus + trigger
+- consult: synchronous request-response (original behaviour)
+"""
+
+import json
+import uuid
+from datetime import UTC, datetime
+from types import SimpleNamespace
+from unittest.mock import AsyncMock, MagicMock, patch
+
+import pytest
+
+
+# ── Helpers ──────────────────────────────────────────────────────────
+
+class DummyResult:
+ def __init__(self, values=None, scalar_value=None, scalars_list=None):
+ self._values = list(values or [])
+ self._scalar_value = scalar_value
+ self._scalars_list = scalars_list
+
+ def scalar_one_or_none(self):
+ if self._scalar_value is not None:
+ return self._scalar_value
+ return self._values[0] if self._values else None
+
+ def scalars(self):
+ return self
+
+ def all(self):
+ return list(self._scalars_list or self._values)
+
+ def first(self):
+ if self._scalars_list:
+ return self._scalars_list[0] if self._scalars_list else None
+ return self._values[0] if self._values else None
+
+ def scalar(self):
+ if self._scalar_value is not None:
+ return self._scalar_value
+ return self._values[0] if self._values else None
+
+
+class RecordingDB:
+ def __init__(self, responses=None):
+ self.responses = list(responses or [])
+ self.added = []
+ self.committed = False
+ self.flushed = False
+
+ async def execute(self, _statement, _params=None):
+ if not self.responses:
+ raise AssertionError("unexpected execute() call")
+ return self.responses.pop(0)
+
+ def add(self, value):
+ self.added.append(value)
+
+ async def commit(self):
+ self.committed = True
+
+ async def flush(self):
+ self.flushed = True
+
+
+def _make_agent(agent_id=None, name="TestAgent", tenant_id=None, agent_type="native",
+ expired=False, primary_model_id=None):
+ agent = MagicMock()
+ agent.id = agent_id or uuid.uuid4()
+ agent.name = name
+ agent.tenant_id = tenant_id or uuid.uuid4()
+ agent.agent_type = agent_type
+ agent.is_expired = expired
+ agent.expires_at = None
+ agent.creator_id = uuid.uuid4()
+ agent.primary_model_id = primary_model_id
+ agent.fallback_model_id = None
+ agent.role_description = ""
+ agent.max_tool_rounds = 50
+ return agent
+
+
+def _make_participant(part_id=None, ref_id=None):
+ p = MagicMock()
+ p.id = part_id or uuid.uuid4()
+ p.type = "agent"
+ p.ref_id = ref_id or uuid.uuid4()
+ return p
+
+
+# ── Tests ────────────────────────────────────────────────────────────
+
+@pytest.mark.asyncio
+async def test_notify_returns_immediately():
+ """notify msg_type should return immediately without calling LLM."""
+ from app.services.agent_tools import _send_message_to_agent
+
+ from_agent_id = uuid.uuid4()
+ target_id = uuid.uuid4()
+ rel_id = uuid.uuid4()
+ session_id = uuid.uuid4()
+ src_participant = _make_participant(ref_id=from_agent_id)
+ tgt_participant = _make_participant(ref_id=target_id)
+ source_agent = _make_agent(from_agent_id, name="Alice")
+ target_agent = _make_agent(target_id, name="Bob")
+
+ session = MagicMock()
+ session.id = session_id
+ session.last_message_at = None
+
+ db = RecordingDB(responses=[
+ DummyResult(scalar_value=source_agent),
+ DummyResult(scalars_list=[target_agent]),
+ DummyResult(scalar_value=rel_id),
+ DummyResult(scalar_value=src_participant),
+ DummyResult(scalar_value=tgt_participant),
+ DummyResult(scalar_value=session),
+ ])
+
+ with patch("app.services.agent_tools.async_session") as mock_session_ctx, \
+ patch("app.services.agent_tools._wake_agent_async", new_callable=AsyncMock) as mock_wake:
+
+ mock_session_ctx.return_value.__aenter__ = AsyncMock(return_value=db)
+ mock_session_ctx.return_value.__aexit__ = AsyncMock(return_value=False)
+
+ result = await _send_message_to_agent(from_agent_id, {
+ "agent_name": "Bob",
+ "message": "Please review the document",
+ "msg_type": "notify",
+ })
+
+ assert "Notification sent to Bob" in result
+ assert "asynchronously" in result
+ mock_wake.assert_awaited_once()
+
+
+@pytest.mark.asyncio
+async def test_task_delegate_creates_focus_and_trigger():
+ """task_delegate should create a focus item and an on_message trigger."""
+ from app.services.agent_tools import _send_message_to_agent
+
+ from_agent_id = uuid.uuid4()
+ target_id = uuid.uuid4()
+ rel_id = uuid.uuid4()
+ session_id = uuid.uuid4()
+ src_participant = _make_participant(ref_id=from_agent_id)
+ tgt_participant = _make_participant(ref_id=target_id)
+ source_agent = _make_agent(from_agent_id, name="Alice")
+ target_agent = _make_agent(target_id, name="Bob")
+
+ session = MagicMock()
+ session.id = session_id
+ session.last_message_at = None
+
+ db = RecordingDB(responses=[
+ DummyResult(scalar_value=source_agent),
+ DummyResult(scalars_list=[target_agent]),
+ DummyResult(scalar_value=rel_id),
+ DummyResult(scalar_value=src_participant),
+ DummyResult(scalar_value=tgt_participant),
+ DummyResult(scalar_value=session),
+ ])
+
+ with patch("app.services.agent_tools.async_session") as mock_session_ctx, \
+ patch("app.services.agent_tools._append_focus_item", new_callable=AsyncMock) as mock_focus, \
+ patch("app.services.agent_tools._create_on_message_trigger", new_callable=AsyncMock) as mock_trigger, \
+ patch("app.services.agent_tools._wake_agent_async", new_callable=AsyncMock) as mock_wake:
+
+ mock_session_ctx.return_value.__aenter__ = AsyncMock(return_value=db)
+ mock_session_ctx.return_value.__aexit__ = AsyncMock(return_value=False)
+
+ result = await _send_message_to_agent(from_agent_id, {
+ "agent_name": "Bob",
+ "message": "Please prepare the Q3 report",
+ "msg_type": "task_delegate",
+ })
+
+ assert "Task delegated to Bob" in result
+ assert "notified when they complete" in result
+ mock_focus.assert_awaited_once()
+ mock_trigger.assert_awaited_once()
+ mock_wake.assert_awaited_once()
+
+ focus_call = mock_focus.call_args
+ assert "wait_bob_task" in focus_call[0][1]
+ assert "Bob" in focus_call[0][2]
+
+ trigger_call = mock_trigger.call_args
+ assert trigger_call[1]["from_agent_name"] == "Bob"
+ assert trigger_call[1]["focus_ref"] == focus_call[0][1]
+
+
+@pytest.mark.asyncio
+async def test_consult_calls_llm_synchronously():
+ """consult msg_type should call LLM synchronously and return reply."""
+ from app.services.agent_tools import _send_message_to_agent
+
+ from_agent_id = uuid.uuid4()
+ target_id = uuid.uuid4()
+ rel_id = uuid.uuid4()
+ session_id = uuid.uuid4()
+ model_id = uuid.uuid4()
+ src_participant = _make_participant(ref_id=from_agent_id)
+ tgt_participant = _make_participant(ref_id=target_id)
+ source_agent = _make_agent(from_agent_id, name="Alice")
+ target_agent = _make_agent(target_id, name="Bob", primary_model_id=model_id)
+
+ session = MagicMock()
+ session.id = session_id
+ session.last_message_at = None
+
+ model = MagicMock()
+ model.provider = "openai"
+ model.model = "gpt-4"
+ model.api_key_encrypted = "sk-test"
+ model.base_url = None
+ model.temperature = 0.7
+ model.request_timeout = 60
+
+ response = MagicMock()
+ response.content = "Here is the answer"
+ response.tool_calls = None
+ response.usage = None
+
+ mock_llm_client = AsyncMock()
+ mock_llm_client.complete = AsyncMock(return_value=response)
+ mock_llm_client.close = AsyncMock()
+
+ db = RecordingDB(responses=[
+ DummyResult(scalar_value=source_agent),
+ DummyResult(scalars_list=[target_agent]),
+ DummyResult(scalar_value=rel_id),
+ DummyResult(scalar_value=src_participant),
+ DummyResult(scalar_value=tgt_participant),
+ DummyResult(scalar_value=session),
+ DummyResult(scalar_value=model),
+ DummyResult(scalars_list=[]),
+ ])
+
+ db2 = RecordingDB(responses=[
+ DummyResult(scalar_value=tgt_participant),
+ ])
+
+ call_count = 0
+ session_dbs = [db, db2]
+
+ async def mock_session_enter(self):
+ nonlocal call_count
+ result = session_dbs[min(call_count, len(session_dbs) - 1)]
+ call_count += 1
+ return result
+
+ with patch("app.services.agent_tools.async_session") as mock_session_ctx, \
+ patch("app.services.agent_context.build_agent_context", new_callable=AsyncMock, return_value=("static", "dynamic")), \
+ patch("app.services.llm_utils.create_llm_client", return_value=mock_llm_client), \
+ patch("app.services.agent_tools.get_agent_tools_for_llm", new_callable=AsyncMock, return_value=[]), \
+ patch("app.services.llm_utils.get_provider_base_url", return_value="https://api.openai.com/v1"), \
+ patch("app.services.token_tracker.record_token_usage", new_callable=AsyncMock), \
+ patch("app.services.activity_logger.log_activity", new_callable=AsyncMock):
+
+ mock_session_ctx.return_value.__aenter__ = AsyncMock(side_effect=[
+ db,
+ db2,
+ ])
+ mock_session_ctx.return_value.__aexit__ = AsyncMock(return_value=False)
+
+ result = await _send_message_to_agent(from_agent_id, {
+ "agent_name": "Bob",
+ "message": "What is 2+2?",
+ "msg_type": "consult",
+ })
+
+ assert "Bob replied" in result
+ assert "Here is the answer" in result
+ mock_llm_client.complete.assert_awaited()
+
+
+@pytest.mark.asyncio
+async def test_default_msg_type_is_notify():
+ """When msg_type is not specified, it should default to notify."""
+ from app.services.agent_tools import _send_message_to_agent
+
+ from_agent_id = uuid.uuid4()
+ target_id = uuid.uuid4()
+ rel_id = uuid.uuid4()
+ session_id = uuid.uuid4()
+ src_participant = _make_participant(ref_id=from_agent_id)
+ tgt_participant = _make_participant(ref_id=target_id)
+ source_agent = _make_agent(from_agent_id, name="Alice")
+ target_agent = _make_agent(target_id, name="Bob")
+
+ session = MagicMock()
+ session.id = session_id
+ session.last_message_at = None
+
+ db = RecordingDB(responses=[
+ DummyResult(scalar_value=source_agent),
+ DummyResult(scalars_list=[target_agent]),
+ DummyResult(scalar_value=rel_id),
+ DummyResult(scalar_value=src_participant),
+ DummyResult(scalar_value=tgt_participant),
+ DummyResult(scalar_value=session),
+ ])
+
+ with patch("app.services.agent_tools.async_session") as mock_session_ctx, \
+ patch("app.services.agent_tools._wake_agent_async", new_callable=AsyncMock) as mock_wake:
+
+ mock_session_ctx.return_value.__aenter__ = AsyncMock(return_value=db)
+ mock_session_ctx.return_value.__aexit__ = AsyncMock(return_value=False)
+
+ result = await _send_message_to_agent(from_agent_id, {
+ "agent_name": "Bob",
+ "message": "Heads up about the meeting",
+ })
+
+ assert "Notification sent" in result
+ mock_wake.assert_awaited_once()
+
+
+@pytest.mark.asyncio
+async def test_missing_agent_name_returns_error():
+ """Missing agent_name should return an error."""
+ from app.services.agent_tools import _send_message_to_agent
+
+ result = await _send_message_to_agent(uuid.uuid4(), {
+ "agent_name": "",
+ "message": "Hello",
+ })
+
+ assert "❌" in result
+
+
+@pytest.mark.asyncio
+async def test_no_relationship_returns_error():
+ """No relationship between agents should return an error."""
+ from app.services.agent_tools import _send_message_to_agent
+
+ from_agent_id = uuid.uuid4()
+ target_id = uuid.uuid4()
+ source_agent = _make_agent(from_agent_id, name="Alice")
+ target_agent = _make_agent(target_id, name="Bob")
+ src_participant = _make_participant(ref_id=from_agent_id)
+ tgt_participant = _make_participant(ref_id=target_id)
+
+ db = RecordingDB(responses=[
+ DummyResult(scalar_value=source_agent),
+ DummyResult(scalars_list=[target_agent]),
+ DummyResult(scalar_value=None),
+ DummyResult(scalar_value=src_participant),
+ DummyResult(scalar_value=tgt_participant),
+ ])
+
+ with patch("app.services.agent_tools.async_session") as mock_session_ctx:
+ mock_session_ctx.return_value.__aenter__ = AsyncMock(return_value=db)
+ mock_session_ctx.return_value.__aexit__ = AsyncMock(return_value=False)
+
+ result = await _send_message_to_agent(from_agent_id, {
+ "agent_name": "Bob",
+ "message": "Hello",
+ "msg_type": "notify",
+ })
+
+ assert "do not have a relationship" in result
+
+
+@pytest.mark.asyncio
+async def test_append_focus_item_creates_file(tmp_path):
+ """_append_focus_item should create/append to focus.md."""
+ from app.services.agent_tools import _append_focus_item, WORKSPACE_ROOT
+
+ agent_id = uuid.uuid4()
+ with patch("app.services.agent_tools.WORKSPACE_ROOT", tmp_path):
+ await _append_focus_item(agent_id, "test_item", "Test description")
+
+ focus_path = tmp_path / str(agent_id) / "focus.md"
+ assert focus_path.exists()
+ content = focus_path.read_text()
+ assert "test_item" in content
+ assert "Test description" in content
+ assert "- [ ]" in content
+
+
+@pytest.mark.asyncio
+async def test_append_focus_item_no_duplicate(tmp_path):
+ """_append_focus_item should not duplicate existing items."""
+ from app.services.agent_tools import _append_focus_item
+
+ agent_id = uuid.uuid4()
+ focus_path = tmp_path / str(agent_id) / "focus.md"
+ focus_path.parent.mkdir(parents=True, exist_ok=True)
+ focus_path.write_text("# Focus\n\n- [ ] test_item: Existing description\n")
+
+ with patch("app.services.agent_tools.WORKSPACE_ROOT", tmp_path):
+ await _append_focus_item(agent_id, "test_item", "New description")
+
+ content = focus_path.read_text()
+ assert content.count("test_item") == 1
+
+
+@pytest.mark.asyncio
+async def test_create_on_message_trigger():
+ """_create_on_message_trigger should create a trigger in DB."""
+ from app.services.agent_tools import _create_on_message_trigger
+
+ agent_id = uuid.uuid4()
+
+ snap_db = RecordingDB(responses=[
+ DummyResult(scalar_value=None),
+ ])
+ trigger_db = RecordingDB(responses=[
+ DummyResult(scalar_value=None),
+ ])
+
+ enter_count = 0
+ dbs = [snap_db, trigger_db]
+
+ async def _enter():
+ nonlocal enter_count
+ db = dbs[min(enter_count, len(dbs) - 1)]
+ enter_count += 1
+ return db
+
+ with patch("app.services.agent_tools.async_session") as mock_session_ctx:
+ mock_session_ctx.return_value.__aenter__ = AsyncMock(side_effect=_enter)
+ mock_session_ctx.return_value.__aexit__ = AsyncMock(return_value=False)
+
+ await _create_on_message_trigger(
+ agent_id=agent_id,
+ trigger_name="test_trigger",
+ from_agent_name="Bob",
+ reason="Test reason",
+ focus_ref="test_focus",
+ )
+
+ assert trigger_db.committed
+ assert len(trigger_db.added) == 1
+
+ trigger = trigger_db.added[0]
+ assert trigger.name == "test_trigger"
+ assert trigger.type == "on_message"
+ assert trigger.config["from_agent_name"] == "Bob"
+ assert trigger.reason == "Test reason"
+ assert trigger.focus_ref == "test_focus"
+
+
+@pytest.mark.asyncio
+async def test_wake_agent_async_calls_trigger_daemon():
+ """_wake_agent_async should delegate to trigger_daemon.wake_agent_with_context."""
+ from app.services.agent_tools import _wake_agent_async
+
+ agent_id = uuid.uuid4()
+ context = "[From Alice] Hello Bob"
+
+ with patch("app.services.trigger_daemon.wake_agent_with_context", new_callable=AsyncMock) as mock_wake:
+ await _wake_agent_async(agent_id, context)
+ mock_wake.assert_awaited_once_with(agent_id, context)
+
+
+@pytest.mark.asyncio
+async def test_openclaw_target_still_queues():
+ """OpenClaw targets should still use the gateway queue regardless of msg_type."""
+ from app.services.agent_tools import _send_message_to_agent
+
+ from_agent_id = uuid.uuid4()
+ target_id = uuid.uuid4()
+ rel_id = uuid.uuid4()
+ session_id = uuid.uuid4()
+ src_participant = _make_participant(ref_id=from_agent_id)
+ tgt_participant = _make_participant(ref_id=target_id)
+ source_agent = _make_agent(from_agent_id, name="Alice")
+ target_agent = _make_agent(target_id, name="OpenClawBot", agent_type="openclaw")
+ target_agent.openclaw_last_seen = datetime.now(UTC)
+
+ session = MagicMock()
+ session.id = session_id
+ session.last_message_at = None
+
+ db = RecordingDB(responses=[
+ DummyResult(scalar_value=source_agent),
+ DummyResult(scalars_list=[target_agent]),
+ DummyResult(scalar_value=rel_id),
+ DummyResult(scalar_value=src_participant),
+ DummyResult(scalar_value=tgt_participant),
+ DummyResult(scalar_value=session),
+ ])
+
+ with patch("app.services.agent_tools.async_session") as mock_session_ctx, \
+ patch("app.services.activity_logger.log_activity", new_callable=AsyncMock):
+
+ mock_session_ctx.return_value.__aenter__ = AsyncMock(return_value=db)
+ mock_session_ctx.return_value.__aexit__ = AsyncMock(return_value=False)
+
+ result = await _send_message_to_agent(from_agent_id, {
+ "agent_name": "OpenClawBot",
+ "message": "Hello",
+ "msg_type": "notify",
+ })
+
+ assert "OpenClaw agent" in result
+ assert "queued" in result
diff --git a/backend/uv.lock b/backend/uv.lock
new file mode 100644
index 000000000..81f5e3fb8
--- /dev/null
+++ b/backend/uv.lock
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From eedcfefe74a71363f5247c863cb704f29403a342 Mon Sep 17 00:00:00 2001
From: haoyi <39499740@qq.com>
Date: Thu, 9 Apr 2026 01:05:24 +0800
Subject: [PATCH 22/48] chore: remove uv.lock generated by test dependency
install
---
backend/uv.lock | 3651 -----------------------------------------------
1 file changed, 3651 deletions(-)
delete mode 100644 backend/uv.lock
diff --git a/backend/uv.lock b/backend/uv.lock
deleted file mode 100644
index 81f5e3fb8..000000000
--- a/backend/uv.lock
+++ /dev/null
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From 542b8385d1061ee85951a8429d4d78eeca07d834 Mon Sep 17 00:00:00 2001
From: haoyi <39499740@qq.com>
Date: Thu, 9 Apr 2026 01:19:15 +0800
Subject: [PATCH 23/48] fix: prevent a2a_wake storm and notify silent failure
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit
Two issues found during integration testing:
1. Wake storm: wake_agent_with_context had no chain depth or dedup
protection, causing A→B→A→B infinite loops. Now tracks per-pair
chain depth (_A2A_WAKE_CHAIN) with max 3 hops, and respects the
existing 30s DEDUP_WINDOW before waking an agent.
2. Notify silent failure: if log_activity or _wake_agent_async threw
an exception, the entire tool call failed silently — the LLM never
received a tool result and produced no user-visible reply. Both
notify and task_delegate paths now wrap auxiliary operations in
try/except so the return string always reaches the LLM.
- wake_agent_with_context accepts from_agent_id for chain tracking
- _wake_agent_async passes from_agent_id through
- All auxiliary calls (log_activity, focus, trigger, wake) are
individually wrapped with error handling
---
backend/app/services/agent_tools.py | 80 ++++++++++++++++----------
backend/app/services/trigger_daemon.py | 42 +++++++++++++-
backend/tests/test_a2a_msg_type.py | 2 +-
3 files changed, 91 insertions(+), 33 deletions(-)
diff --git a/backend/app/services/agent_tools.py b/backend/app/services/agent_tools.py
index c1c216f3e..ce7ef5bfb 100644
--- a/backend/app/services/agent_tools.py
+++ b/backend/app/services/agent_tools.py
@@ -4742,13 +4742,13 @@ async def _append_focus_item(agent_id: uuid.UUID, identifier: str, description:
logger.warning(f"[A2A] Failed to update focus.md for agent {agent_id}: {e}")
-async def _wake_agent_async(agent_id: uuid.UUID, reason_context: str) -> None:
+async def _wake_agent_async(agent_id: uuid.UUID, reason_context: str, *, from_agent_id: uuid.UUID | None = None) -> None:
"""Wake an agent asynchronously via the trigger invocation path.
Delegates to the public wake_agent_with_context API in trigger_daemon.
"""
from app.services.trigger_daemon import wake_agent_with_context
- await wake_agent_with_context(agent_id, reason_context)
+ await wake_agent_with_context(agent_id, reason_context, from_agent_id=from_agent_id)
async def _send_message_to_agent(from_agent_id: uuid.UUID, args: dict) -> str:
@@ -4911,17 +4911,24 @@ async def _send_message_to_agent(from_agent_id: uuid.UUID, args: dict) -> str:
# ── notify: fire-and-forget ──
if msg_type == "notify":
- from app.services.activity_logger import log_activity
- await log_activity(
- from_agent_id, "agent_msg_sent",
- f"Sent notification to {target.name}",
- detail={"partner": target.name, "message": message_text[:200], "msg_type": "notify"},
- )
+ try:
+ from app.services.activity_logger import log_activity
+ await log_activity(
+ from_agent_id, "agent_msg_sent",
+ f"Sent notification to {target.name}",
+ detail={"partner": target.name, "message": message_text[:200], "msg_type": "notify"},
+ )
+ except Exception:
+ pass
- await _wake_agent_async(
- target.id,
- f"[From {source_name}] {message_text}",
- )
+ try:
+ await _wake_agent_async(
+ target.id,
+ f"[From {source_name}] {message_text}",
+ from_agent_id=from_agent_id,
+ )
+ except Exception as e:
+ logger.warning(f"[A2A] Failed to wake {target.name} for notify: {e}")
return f"✅ Notification sent to {target.name}. They will process it asynchronously."
@@ -4930,7 +4937,10 @@ async def _send_message_to_agent(from_agent_id: uuid.UUID, args: dict) -> str:
focus_id = f"wait_{target.name.lower().replace(' ', '_')}_task"
focus_desc = f"Waiting for {target.name} to complete delegated task: {message_text[:100]}"
- await _append_focus_item(from_agent_id, focus_id, focus_desc)
+ try:
+ await _append_focus_item(from_agent_id, focus_id, focus_desc)
+ except Exception as e:
+ logger.warning(f"[A2A] Failed to write focus for delegate: {e}")
trigger_name = f"a2a_wait_{target.name.lower().replace(' ', '_')}"
trigger_reason = (
@@ -4941,25 +4951,35 @@ async def _send_message_to_agent(from_agent_id: uuid.UUID, args: dict) -> str:
f"3) Mark focus item '{focus_id}' as completed. "
f"4) Cancel this trigger."
)
- await _create_on_message_trigger(
- agent_id=from_agent_id,
- trigger_name=trigger_name,
- from_agent_name=target.name,
- reason=trigger_reason,
- focus_ref=focus_id,
- )
+ try:
+ await _create_on_message_trigger(
+ agent_id=from_agent_id,
+ trigger_name=trigger_name,
+ from_agent_name=target.name,
+ reason=trigger_reason,
+ focus_ref=focus_id,
+ )
+ except Exception as e:
+ logger.warning(f"[A2A] Failed to create trigger for delegate: {e}")
- from app.services.activity_logger import log_activity
- await log_activity(
- from_agent_id, "agent_msg_sent",
- f"Delegated task to {target.name}",
- detail={"partner": target.name, "message": message_text[:200], "msg_type": "task_delegate"},
- )
+ try:
+ from app.services.activity_logger import log_activity
+ await log_activity(
+ from_agent_id, "agent_msg_sent",
+ f"Delegated task to {target.name}",
+ detail={"partner": target.name, "message": message_text[:200], "msg_type": "task_delegate"},
+ )
+ except Exception:
+ pass
- await _wake_agent_async(
- target.id,
- f"[From {source_name}] {message_text}",
- )
+ try:
+ await _wake_agent_async(
+ target.id,
+ f"[From {source_name}] {message_text}",
+ from_agent_id=from_agent_id,
+ )
+ except Exception as e:
+ logger.warning(f"[A2A] Failed to wake {target.name} for delegate: {e}")
return f"✅ Task delegated to {target.name}. You will be notified when they complete it."
diff --git a/backend/app/services/trigger_daemon.py b/backend/app/services/trigger_daemon.py
index 1c0caaf43..15cd1f2ec 100644
--- a/backend/app/services/trigger_daemon.py
+++ b/backend/app/services/trigger_daemon.py
@@ -30,9 +30,12 @@
MAX_AGENT_CHAIN_DEPTH = 5 # A→B→A→B→A max depth before stopping
MIN_POLL_INTERVAL_MINUTES = 5 # minimum poll interval to prevent abuse
-# Track last invocation time per agent to enforce dedup window
_last_invoke: dict[uuid.UUID, datetime] = {}
+_A2A_WAKE_CHAIN: dict[str, int] = {}
+_A2A_WAKE_CHAIN_TTL = 300
+_A2A_MAX_WAKE_DEPTH = 3
+
# Webhook rate limiter: token -> list of timestamps
_webhook_hits: dict[str, list[float]] = {}
WEBHOOK_RATE_LIMIT = 5 # max hits per minute per token
@@ -693,14 +696,49 @@ async def _tick():
asyncio.create_task(_invoke_agent_for_triggers(agent_id, agent_triggers))
-async def wake_agent_with_context(agent_id: uuid.UUID, message_context: str) -> None:
+async def wake_agent_with_context(agent_id: uuid.UUID, message_context: str, *, from_agent_id: uuid.UUID | None = None) -> None:
"""Public API: wake an agent asynchronously with a message context.
Creates a synthetic trigger invocation so the agent processes the
message in a Reflection Session via the standard trigger path.
Safe to call from any async context.
+
+ Args:
+ agent_id: The agent to wake.
+ message_context: The message to deliver.
+ from_agent_id: The agent that initiated this wake (for chain depth tracking).
"""
+ import time as _time
+
now = datetime.now(timezone.utc)
+
+ if from_agent_id:
+ chain_key = f"{from_agent_id}->{agent_id}"
+ current_depth = _A2A_WAKE_CHAIN.get(chain_key, 0)
+ if current_depth >= _A2A_MAX_WAKE_DEPTH:
+ logger.warning(
+ f"[A2A] Wake chain depth {current_depth} reached for {chain_key}, "
+ f"stopping to prevent wake storm"
+ )
+ return
+
+ _A2A_WAKE_CHAIN[chain_key] = current_depth + 1
+
+ def _decay_chain():
+ _A2A_WAKE_CHAIN.pop(chain_key, None)
+ asyncio.get_event_loop().call_later(_A2A_WAKE_CHAIN_TTL, _decay_chain)
+
+ if agent_id in _last_invoke:
+ elapsed = (now - _last_invoke[agent_id]).total_seconds()
+ if elapsed < DEDUP_WINDOW:
+ logger.info(
+ f"[A2A] Skipping wake for agent {agent_id} — "
+ f"invoked {elapsed:.0f}s ago (dedup window {DEDUP_WINDOW}s)"
+ )
+ return
+
+ _last_invoke[agent_id] = now
+
dummy_trigger = AgentTrigger(
id=uuid.uuid4(),
agent_id=agent_id,
diff --git a/backend/tests/test_a2a_msg_type.py b/backend/tests/test_a2a_msg_type.py
index f8c19e49a..a1b7cea58 100644
--- a/backend/tests/test_a2a_msg_type.py
+++ b/backend/tests/test_a2a_msg_type.py
@@ -457,7 +457,7 @@ async def test_wake_agent_async_calls_trigger_daemon():
with patch("app.services.trigger_daemon.wake_agent_with_context", new_callable=AsyncMock) as mock_wake:
await _wake_agent_async(agent_id, context)
- mock_wake.assert_awaited_once_with(agent_id, context)
+ mock_wake.assert_awaited_once_with(agent_id, context, from_agent_id=None)
@pytest.mark.asyncio
From b540558c3e24b68c1a079ce16c43914e4949b7f6 Mon Sep 17 00:00:00 2001
From: haoyi <39499740@qq.com>
Date: Thu, 9 Apr 2026 07:31:28 +0800
Subject: [PATCH 24/48] fix: suppress a2a_wake results from user chat
a2a_wake is an internal A2A mechanism. Its Reflection Session output
should not be pushed to the user's active chat session or WebSocket.
Only user-facing triggers (on_message from users, webhooks, cron, etc.)
should produce visible notifications.
---
backend/app/services/trigger_daemon.py | 5 ++++-
1 file changed, 4 insertions(+), 1 deletion(-)
diff --git a/backend/app/services/trigger_daemon.py b/backend/app/services/trigger_daemon.py
index 15cd1f2ec..6dee4b4d0 100644
--- a/backend/app/services/trigger_daemon.py
+++ b/backend/app/services/trigger_daemon.py
@@ -538,7 +538,10 @@ async def on_tool_call(data):
# Push trigger result to user's active WebSocket connections
final_reply = reply or "".join(collected_content)
- if final_reply:
+
+ is_a2a_internal = all(t.name == "a2a_wake" for t in triggers)
+
+ if final_reply and not is_a2a_internal:
try:
from app.api.websocket import manager as ws_manager
agent_id_str = str(agent_id)
From 0d007447ff7c4f64f926c09c6e26b516687c11db Mon Sep 17 00:00:00 2001
From: haoyi <39499740@qq.com>
Date: Thu, 9 Apr 2026 07:38:24 +0800
Subject: [PATCH 25/48] fix: set max_fires=1 on A2A on_message triggers to
prevent loops
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit
A2A on_message triggers created by task_delegate now have:
- max_fires=1: auto-disable after receiving one reply
- expires_at: 24h TTL as safety net
Without max_fires, on_message triggers monitoring another agent's
assistant messages would fire indefinitely in a loop:
A wakes → replies (assistant msg) → B's trigger fires → B replies
→ A's trigger fires → ... ad infinitum.
This was an existing system issue exposed by the async A2A feature.
The two storm triggers (wait_manager_meeting_followup and
wait_xiaozhi_meeting_sync_r2) were manually disabled in the DB.
---
backend/app/services/agent_tools.py | 2 ++
1 file changed, 2 insertions(+)
diff --git a/backend/app/services/agent_tools.py b/backend/app/services/agent_tools.py
index ce7ef5bfb..d3d00a148 100644
--- a/backend/app/services/agent_tools.py
+++ b/backend/app/services/agent_tools.py
@@ -4717,6 +4717,8 @@ async def _create_on_message_trigger(
config=config,
reason=reason,
focus_ref=focus_ref or None,
+ max_fires=1,
+ expires_at=datetime.now(timezone.utc) + timedelta(hours=24),
)
db.add(trigger)
await db.commit()
From 1d5f8d2849f43fb597b8ca0915411c347d7c8891 Mon Sep 17 00:00:00 2001
From: haoyi <39499740@qq.com>
Date: Thu, 9 Apr 2026 08:39:07 +0800
Subject: [PATCH 26/48] fix: improve a2a_wake prompt to prevent unwanted
consult-back
The a2a_wake trigger reason was too vague ('Process it and act
accordingly'), causing agents to reply back via consult when they
received a notify message. This created cascading A2A calls.
Updated the reason to explicitly state:
- This is a notification, not a request for response
- Do NOT reply unless you have a genuine question
- Focus on updating focus/memory and taking direct actions
---
backend/app/services/trigger_daemon.py | 8 +++++++-
1 file changed, 7 insertions(+), 1 deletion(-)
diff --git a/backend/app/services/trigger_daemon.py b/backend/app/services/trigger_daemon.py
index 6dee4b4d0..1eb6db9a0 100644
--- a/backend/app/services/trigger_daemon.py
+++ b/backend/app/services/trigger_daemon.py
@@ -748,7 +748,13 @@ def _decay_chain():
name="a2a_wake",
type="on_message",
config={"from_agent_name": "", "_matched_message": message_context[:2000], "_matched_from": "agent"},
- reason="Received an A2A message. Process it and act accordingly.",
+ reason=(
+ "You received a notification from another agent. "
+ "Read the message content above, update your focus and memory if needed, "
+ "and take any action you deem necessary. "
+ "Do NOT reply back to the sender unless you have a genuine question — "
+ "this was a notification, not a request for response."
+ ),
is_enabled=True,
last_fired_at=now,
fire_count=0,
From 6c9e2f8f5d13dda035db1864f055c95262b37a96 Mon Sep 17 00:00:00 2001
From: haoyi <39499740@qq.com>
Date: Thu, 9 Apr 2026 08:57:45 +0800
Subject: [PATCH 27/48] fix: skip DEDUP for send_message_to_agent wake calls
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit
The DEDUP_WINDOW (30s) was preventing legitimate message deliveries
from waking the target agent. This caused task_delegate callbacks to
be silently dropped:
1. A delegates task to B via task_delegate
2. B completes and sends notify reply to A via send_message_to_agent
3. A was recently woken by the trigger daemon → DEDUP skips A's wake
4. A never receives B's reply → user sees no result
Fix: All _wake_agent_async calls from send_message_to_agent now pass
skip_dedup=True. Chain depth protection (max 3 hops) is still active
to prevent storms, but individual message deliveries are never dropped.
wake_agent_with_context gains a skip_dedup parameter that bypasses
the _last_invoke dedup check while keeping chain depth protection.
---
backend/app/services/agent_tools.py | 6 ++++--
backend/app/services/trigger_daemon.py | 7 +++++--
backend/tests/test_a2a_msg_type.py | 2 +-
3 files changed, 10 insertions(+), 5 deletions(-)
diff --git a/backend/app/services/agent_tools.py b/backend/app/services/agent_tools.py
index d3d00a148..67bb7afbe 100644
--- a/backend/app/services/agent_tools.py
+++ b/backend/app/services/agent_tools.py
@@ -4744,13 +4744,13 @@ async def _append_focus_item(agent_id: uuid.UUID, identifier: str, description:
logger.warning(f"[A2A] Failed to update focus.md for agent {agent_id}: {e}")
-async def _wake_agent_async(agent_id: uuid.UUID, reason_context: str, *, from_agent_id: uuid.UUID | None = None) -> None:
+async def _wake_agent_async(agent_id: uuid.UUID, reason_context: str, *, from_agent_id: uuid.UUID | None = None, skip_dedup: bool = False) -> None:
"""Wake an agent asynchronously via the trigger invocation path.
Delegates to the public wake_agent_with_context API in trigger_daemon.
"""
from app.services.trigger_daemon import wake_agent_with_context
- await wake_agent_with_context(agent_id, reason_context, from_agent_id=from_agent_id)
+ await wake_agent_with_context(agent_id, reason_context, from_agent_id=from_agent_id, skip_dedup=skip_dedup)
async def _send_message_to_agent(from_agent_id: uuid.UUID, args: dict) -> str:
@@ -4928,6 +4928,7 @@ async def _send_message_to_agent(from_agent_id: uuid.UUID, args: dict) -> str:
target.id,
f"[From {source_name}] {message_text}",
from_agent_id=from_agent_id,
+ skip_dedup=True,
)
except Exception as e:
logger.warning(f"[A2A] Failed to wake {target.name} for notify: {e}")
@@ -4979,6 +4980,7 @@ async def _send_message_to_agent(from_agent_id: uuid.UUID, args: dict) -> str:
target.id,
f"[From {source_name}] {message_text}",
from_agent_id=from_agent_id,
+ skip_dedup=True,
)
except Exception as e:
logger.warning(f"[A2A] Failed to wake {target.name} for delegate: {e}")
diff --git a/backend/app/services/trigger_daemon.py b/backend/app/services/trigger_daemon.py
index 1eb6db9a0..ed5f6ed5f 100644
--- a/backend/app/services/trigger_daemon.py
+++ b/backend/app/services/trigger_daemon.py
@@ -699,7 +699,7 @@ async def _tick():
asyncio.create_task(_invoke_agent_for_triggers(agent_id, agent_triggers))
-async def wake_agent_with_context(agent_id: uuid.UUID, message_context: str, *, from_agent_id: uuid.UUID | None = None) -> None:
+async def wake_agent_with_context(agent_id: uuid.UUID, message_context: str, *, from_agent_id: uuid.UUID | None = None, skip_dedup: bool = False) -> None:
"""Public API: wake an agent asynchronously with a message context.
Creates a synthetic trigger invocation so the agent processes the
@@ -710,6 +710,9 @@ async def wake_agent_with_context(agent_id: uuid.UUID, message_context: str, *,
agent_id: The agent to wake.
message_context: The message to deliver.
from_agent_id: The agent that initiated this wake (for chain depth tracking).
+ skip_dedup: If True, bypass the dedup window check. Use this for
+ genuine message deliveries (e.g. a task_delegate callback)
+ where skipping the wake would lose a real message.
"""
import time as _time
@@ -731,7 +734,7 @@ def _decay_chain():
_A2A_WAKE_CHAIN.pop(chain_key, None)
asyncio.get_event_loop().call_later(_A2A_WAKE_CHAIN_TTL, _decay_chain)
- if agent_id in _last_invoke:
+ if not skip_dedup and agent_id in _last_invoke:
elapsed = (now - _last_invoke[agent_id]).total_seconds()
if elapsed < DEDUP_WINDOW:
logger.info(
diff --git a/backend/tests/test_a2a_msg_type.py b/backend/tests/test_a2a_msg_type.py
index a1b7cea58..fb5e48c9e 100644
--- a/backend/tests/test_a2a_msg_type.py
+++ b/backend/tests/test_a2a_msg_type.py
@@ -457,7 +457,7 @@ async def test_wake_agent_async_calls_trigger_daemon():
with patch("app.services.trigger_daemon.wake_agent_with_context", new_callable=AsyncMock) as mock_wake:
await _wake_agent_async(agent_id, context)
- mock_wake.assert_awaited_once_with(agent_id, context, from_agent_id=None)
+ mock_wake.assert_awaited_once_with(agent_id, context, from_agent_id=None, skip_dedup=False)
@pytest.mark.asyncio
From b7cc09ca75681bebd735b58a5c47cd2fad920fea Mon Sep 17 00:00:00 2001
From: haoyi <39499740@qq.com>
Date: Fri, 10 Apr 2026 00:14:28 +0800
Subject: [PATCH 28/48] feat: make msg_type required, improve tool description
for auto-selection
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit
Problem: When users said 'summarize tasks assigned to Manager' without
specifying msg_type, the LLM defaulted to notify (fire-and-forget),
so the user never got the results back.
Changes:
- msg_type is now a required parameter — LLM must choose explicitly
every time it calls send_message_to_agent
- Tool description now includes concrete examples for each type:
notify = one-way announcement, consult = quick question,
task_delegate = delegate work and get results back
- Explicit guidance: 'When the user asks another agent to perform a
task, use task_delegate, NOT notify'
- Updated tool_seeder.py to match
This ensures the LLM will auto-select task_delegate when the user
asks another agent to do work, without the user needing to specify
the msg_type manually.
---
backend/app/services/agent_tools.py | 6 +++---
backend/app/services/tool_seeder.py | 6 +++---
2 files changed, 6 insertions(+), 6 deletions(-)
diff --git a/backend/app/services/agent_tools.py b/backend/app/services/agent_tools.py
index 67bb7afbe..e552e77cd 100644
--- a/backend/app/services/agent_tools.py
+++ b/backend/app/services/agent_tools.py
@@ -532,7 +532,7 @@ async def _get_tool_config(agent_id: Optional[uuid.UUID], tool_name: str) -> Opt
"type": "function",
"function": {
"name": "send_message_to_agent",
- "description": "Send a message to a digital employee colleague. The recipient is another AI agent, not a human. Behaviour depends on msg_type: notify = fire-and-forget, returns immediately; consult = synchronous, waits for reply; task_delegate = async, returns immediately and you will be notified when they finish. Your relationships.md lists available digital employees under 'Digital Employee Colleagues'.",
+ "description": "Send a message to a digital employee colleague. The recipient is another AI agent, not a human. Choose msg_type based on intent: (1) notify — one-way announcement, no reply needed (e.g. 'meeting cancelled', 'status update'); (2) consult — quick question where you need an immediate synchronous answer; (3) task_delegate — you need the target to do work and report back results (e.g. 'summarize X', 'research Y', 'prepare Z'). IMPORTANT: When the user asks another agent to perform a task, use task_delegate, NOT notify. Your relationships.md lists available digital employees under 'Digital Employee Colleagues'.",
"parameters": {
"type": "object",
"properties": {
@@ -547,10 +547,10 @@ async def _get_tool_config(agent_id: Optional[uuid.UUID], tool_name: str) -> Opt
"msg_type": {
"type": "string",
"enum": ["notify", "consult", "task_delegate"],
- "description": "Message type: notify = fire-and-forget notification (async, no reply expected, returns immediately); consult = synchronous question (waits for reply); task_delegate = delegate a task (async, returns immediately, you will be woken when the target completes). Defaults to notify.",
+ "description": "Choose based on intent: notify = one-way announcement, no reply needed; consult = quick synchronous question; task_delegate = delegate work and expect results back. Use task_delegate whenever you need the other agent to DO work and return output.",
},
},
- "required": ["agent_name", "message"],
+ "required": ["agent_name", "message", "msg_type"],
},
},
},
diff --git a/backend/app/services/tool_seeder.py b/backend/app/services/tool_seeder.py
index 017b1e350..349fbfaf7 100644
--- a/backend/app/services/tool_seeder.py
+++ b/backend/app/services/tool_seeder.py
@@ -272,7 +272,7 @@
{
"name": "send_message_to_agent",
"display_name": "Agent Message",
- "description": "Send a message to a digital employee colleague. notify = fire-and-forget (async); consult = synchronous question (waits for reply); task_delegate = delegate a task (async, you will be notified when done).",
+ "description": "Send a message to a digital employee colleague. Choose msg_type based on intent: notify = one-way announcement; consult = quick question; task_delegate = delegate work and expect results.",
"category": "communication",
"icon": "🤖",
"is_default": True,
@@ -281,9 +281,9 @@
"properties": {
"agent_name": {"type": "string", "description": "Target agent name"},
"message": {"type": "string", "description": "Message content"},
- "msg_type": {"type": "string", "enum": ["notify", "consult", "task_delegate"], "description": "Message type: notify = fire-and-forget (async, no reply); consult = synchronous (waits for reply); task_delegate = async delegation (notified when done). Defaults to notify."},
+ "msg_type": {"type": "string", "enum": ["notify", "consult", "task_delegate"], "description": "Choose based on intent: notify = one-way announcement; consult = quick synchronous question; task_delegate = delegate work and expect results back."},
},
- "required": ["agent_name", "message"],
+ "required": ["agent_name", "message", "msg_type"],
},
"config": {},
"config_schema": {},
From a76fd9dbbd5f43be5685f999d4f0db9d9bae3885 Mon Sep 17 00:00:00 2001
From: haoyi <39499740@qq.com>
Date: Fri, 10 Apr 2026 00:18:42 +0800
Subject: [PATCH 29/48] feat: improve msg_type decision guide for ambiguous
user intent
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit
The key insight: the LLM should decide msg_type based on ONE question:
'Does the target need to DO WORK and return results?'
- If yes → task_delegate (most common for user requests)
- If just FYI → notify
- If quick factual question → consult
- When in doubt → prefer task_delegate (safer, guarantees result)
Added concrete verb examples (analyze, research, summarize, write,
compare, plan, review, find out, confirm) so the LLM can match
ambiguous user phrases like 'check with X', 'look into Y', 'get back
to me on Z' to task_delegate without explicit keywords.
---
backend/app/services/agent_tools.py | 4 ++--
backend/app/services/tool_seeder.py | 4 ++--
2 files changed, 4 insertions(+), 4 deletions(-)
diff --git a/backend/app/services/agent_tools.py b/backend/app/services/agent_tools.py
index e552e77cd..0e2f47290 100644
--- a/backend/app/services/agent_tools.py
+++ b/backend/app/services/agent_tools.py
@@ -532,7 +532,7 @@ async def _get_tool_config(agent_id: Optional[uuid.UUID], tool_name: str) -> Opt
"type": "function",
"function": {
"name": "send_message_to_agent",
- "description": "Send a message to a digital employee colleague. The recipient is another AI agent, not a human. Choose msg_type based on intent: (1) notify — one-way announcement, no reply needed (e.g. 'meeting cancelled', 'status update'); (2) consult — quick question where you need an immediate synchronous answer; (3) task_delegate — you need the target to do work and report back results (e.g. 'summarize X', 'research Y', 'prepare Z'). IMPORTANT: When the user asks another agent to perform a task, use task_delegate, NOT notify. Your relationships.md lists available digital employees under 'Digital Employee Colleagues'.",
+ "description": "Send a message to a digital employee colleague. The recipient is another AI agent, not a human. Your relationships.md lists available digital employees under 'Digital Employee Colleagues'.\n\nDECISION GUIDE for msg_type:\nAsk yourself: does the target agent need to DO WORK (analyze, research, summarize, write, compare, plan, etc.) and RETURN RESULTS to you or the user?\n\n- If YES, the target needs to do work → use task_delegate. Examples: 'summarize X', 'analyze Y', 'check Z', 'prepare a report', 'review and give feedback', 'find out X', 'confirm with X and report back'. The target works asynchronously and you will be woken when they finish.\n\n- If the target just needs to KNOW something → use notify. Examples: 'meeting cancelled', 'I updated the doc', 'heads up about X', 'FYI'. No reply expected.\n\n- If you need a quick factual answer right now → use consult. Examples: 'what is X?', 'do you know Y?'. Synchronous, blocks until reply.\n\nWhen in doubt between notify and task_delegate, prefer task_delegate — it is safer because it guarantees the user gets a result.",
"parameters": {
"type": "object",
"properties": {
@@ -547,7 +547,7 @@ async def _get_tool_config(agent_id: Optional[uuid.UUID], tool_name: str) -> Opt
"msg_type": {
"type": "string",
"enum": ["notify", "consult", "task_delegate"],
- "description": "Choose based on intent: notify = one-way announcement, no reply needed; consult = quick synchronous question; task_delegate = delegate work and expect results back. Use task_delegate whenever you need the other agent to DO work and return output.",
+ "description": "Decision guide: (1) Will the target need to DO WORK and return results? → task_delegate. (2) Is this just a one-way FYI? → notify. (3) Quick factual question needing immediate answer? → consult. When unsure, prefer task_delegate.",
},
},
"required": ["agent_name", "message", "msg_type"],
diff --git a/backend/app/services/tool_seeder.py b/backend/app/services/tool_seeder.py
index 349fbfaf7..7584ab0f0 100644
--- a/backend/app/services/tool_seeder.py
+++ b/backend/app/services/tool_seeder.py
@@ -272,7 +272,7 @@
{
"name": "send_message_to_agent",
"display_name": "Agent Message",
- "description": "Send a message to a digital employee colleague. Choose msg_type based on intent: notify = one-way announcement; consult = quick question; task_delegate = delegate work and expect results.",
+ "description": "Send a message to a digital employee colleague. Decision guide: target needs to DO WORK and return results? → task_delegate. Just FYI? → notify. Quick factual question? → consult. When unsure, prefer task_delegate.",
"category": "communication",
"icon": "🤖",
"is_default": True,
@@ -281,7 +281,7 @@
"properties": {
"agent_name": {"type": "string", "description": "Target agent name"},
"message": {"type": "string", "description": "Message content"},
- "msg_type": {"type": "string", "enum": ["notify", "consult", "task_delegate"], "description": "Choose based on intent: notify = one-way announcement; consult = quick synchronous question; task_delegate = delegate work and expect results back."},
+ "msg_type": {"type": "string", "enum": ["notify", "consult", "task_delegate"], "description": "(1) Target needs to DO WORK and return results? → task_delegate. (2) Just FYI? → notify. (3) Quick factual question? → consult. When unsure, prefer task_delegate."},
},
"required": ["agent_name", "message", "msg_type"],
},
From 13cca98be2a5ec9aed15e28bc82c26ff48358de0 Mon Sep 17 00:00:00 2001
From: haoyi <39499740@qq.com>
Date: Fri, 10 Apr 2026 00:37:06 +0800
Subject: [PATCH 30/48] fix: use trigger reason instead of internal name in
user notification
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit
Before: ⚡ 触发器触发 wait_manager_api_key_reply
After: ⚡ 监听经理关于API Key的回复
The trigger name is an internal identifier, meaningless to users.
Now uses the trigger's reason field (human-readable description)
as the notification headline, with a 80-char truncation limit.
---
backend/app/services/trigger_daemon.py | 11 +++++++++--
1 file changed, 9 insertions(+), 2 deletions(-)
diff --git a/backend/app/services/trigger_daemon.py b/backend/app/services/trigger_daemon.py
index ed5f6ed5f..9f6b5a103 100644
--- a/backend/app/services/trigger_daemon.py
+++ b/backend/app/services/trigger_daemon.py
@@ -547,8 +547,15 @@ async def on_tool_call(data):
agent_id_str = str(agent_id)
# Build notification message with trigger badge
- trigger_badge = ", ".join(trigger_names)
- notification = f"⚡ **触发器触发** `{trigger_badge}`\n\n{final_reply}"
+ trigger_reasons = []
+ for t in triggers:
+ r = (t.reason or "").strip()
+ if r and len(r) <= 80:
+ trigger_reasons.append(r)
+ elif r:
+ trigger_reasons.append(r[:77] + "...")
+ summary = trigger_reasons[0] if trigger_reasons else "有新的事件需要处理"
+ notification = f"⚡ {summary}\n\n{final_reply}"
# Save to user's active chat session(s) for persistence
async with async_session() as db:
From 7416dc6ff82638bcae7817c4ce4d0fe3cda8671a Mon Sep 17 00:00:00 2001
From: haoyi <39499740@qq.com>
Date: Fri, 10 Apr 2026 00:49:11 +0800
Subject: [PATCH 31/48] fix: user-friendly notification headline for
task_delegate triggers
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit
Before: ⚡ 经理 is expected to reply after completing a delegated task...
After: ⚡ 等待经理完成任务并回复
The trigger reason is an internal instruction for the agent (in English),
not suitable for user-facing notifications. Added a notification_summary
field in trigger config (_notification_summary) that stores a concise,
user-friendly headline. The notification builder checks this field first
before falling back to the reason field.
---
backend/app/services/agent_tools.py | 4 ++++
backend/app/services/trigger_daemon.py | 14 +++++++++-----
2 files changed, 13 insertions(+), 5 deletions(-)
diff --git a/backend/app/services/agent_tools.py b/backend/app/services/agent_tools.py
index 0e2f47290..6e318b820 100644
--- a/backend/app/services/agent_tools.py
+++ b/backend/app/services/agent_tools.py
@@ -4661,11 +4661,14 @@ async def _create_on_message_trigger(
from_agent_name: str,
reason: str,
focus_ref: str | None = None,
+ notification_summary: str | None = None,
) -> None:
"""Programmatically create an on_message trigger for an agent."""
from app.models.trigger import AgentTrigger
config: dict = {"from_agent_name": from_agent_name}
+ if notification_summary:
+ config["_notification_summary"] = notification_summary
try:
from app.models.audit import ChatMessage as _CM
@@ -4961,6 +4964,7 @@ async def _send_message_to_agent(from_agent_id: uuid.UUID, args: dict) -> str:
from_agent_name=target.name,
reason=trigger_reason,
focus_ref=focus_id,
+ notification_summary=f"等待{target.name}完成任务并回复",
)
except Exception as e:
logger.warning(f"[A2A] Failed to create trigger for delegate: {e}")
diff --git a/backend/app/services/trigger_daemon.py b/backend/app/services/trigger_daemon.py
index 9f6b5a103..6bc5eadfe 100644
--- a/backend/app/services/trigger_daemon.py
+++ b/backend/app/services/trigger_daemon.py
@@ -549,11 +549,15 @@ async def on_tool_call(data):
# Build notification message with trigger badge
trigger_reasons = []
for t in triggers:
- r = (t.reason or "").strip()
- if r and len(r) <= 80:
- trigger_reasons.append(r)
- elif r:
- trigger_reasons.append(r[:77] + "...")
+ ns = (t.config or {}).get("_notification_summary", "").strip()
+ if ns:
+ trigger_reasons.append(ns)
+ else:
+ r = (t.reason or "").strip()
+ if r and len(r) <= 80:
+ trigger_reasons.append(r)
+ elif r:
+ trigger_reasons.append(r[:77] + "...")
summary = trigger_reasons[0] if trigger_reasons else "有新的事件需要处理"
notification = f"⚡ {summary}\n\n{final_reply}"
From 8d2c536ad5412667f65970961437b1fdfcaee42b Mon Sep 17 00:00:00 2001
From: haoyi <39499740@qq.com>
Date: Fri, 10 Apr 2026 01:03:01 +0800
Subject: [PATCH 32/48] fix: tell agent its a2a_wait reply is user-visible
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit
The a2a_wait trigger's Reflection Session output was being pushed
directly to the user's chat, but the agent didn't know its output
was user-facing. So it wrote internal monologue (trigger management,
focus state, reasoning process) that confused the user.
Updated the trigger reason to explicitly state:
- 'Your reply will be shown to the user'
- 'Do NOT mention triggers, focus items, internal state, or reasoning'
- 'Just give the user the actionable outcome'
Before:
⚡ 等待经理完成任务并回复
处理完毕。经理的汇总确认：触发器 a2await经理 已取消...
Focus item wait经理task 已为 [x] 完成状态...
After (expected):
⚡ 等待经理完成任务并回复
经理已完成任务汇总，结果如下：...
---
backend/app/services/agent_tools.py | 13 ++++++++-----
1 file changed, 8 insertions(+), 5 deletions(-)
diff --git a/backend/app/services/agent_tools.py b/backend/app/services/agent_tools.py
index 6e318b820..c50c295c4 100644
--- a/backend/app/services/agent_tools.py
+++ b/backend/app/services/agent_tools.py
@@ -4950,12 +4950,15 @@ async def _send_message_to_agent(from_agent_id: uuid.UUID, args: dict) -> str:
trigger_name = f"a2a_wait_{target.name.lower().replace(' ', '_')}"
trigger_reason = (
- f"{target.name} is expected to reply after completing a delegated task. "
+ f"{target.name} has replied with the result of a delegated task. "
f"Original task: {message_text[:200]}. "
- f"When {target.name} replies: 1) Process the result. "
- f"2) Notify the user if needed. "
- f"3) Mark focus item '{focus_id}' as completed. "
- f"4) Cancel this trigger."
+ f"Steps: 1) Process {target.name}'s reply. "
+ f"2) Mark focus item '{focus_id}' as completed. "
+ f"3) Cancel this trigger. "
+ f"IMPORTANT: Your reply will be shown to the user. "
+ f"Provide a concise summary of the task result — do NOT mention "
+ f"triggers, focus items, internal state, or your reasoning process. "
+ f"Just give the user the actionable outcome."
)
try:
await _create_on_message_trigger(
From aececc56b3cee9e2a7bed2f54633a5d7b80b69ba Mon Sep 17 00:00:00 2001
From: haoyi <39499740@qq.com>
Date: Fri, 10 Apr 2026 01:09:10 +0800
Subject: [PATCH 33/48] fix: dual protection against internal terms in user
notifications
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit
Prompt improvement + regex post-processing to ensure user-facing
notifications read naturally.
1. Prompt: Explicitly list banned terms (trigger name, focus item,
a2a_wait, task_delegate, etc.) and tell agent to write as if
talking to a colleague.
2. Post-processing: Regex filter strips any remaining internal
identifiers from the notification text before pushing to user.
Patterns cover: a2a_wait_*, wait_*_task, focus_item, trigger
status lines, bullet points with internal terms, etc.
Before:
✅ a2await经理 触发器已取消
✅ wait经理task focus项已为完成状态
📋 核查结论：无新增任务
After (expected):
经理确认：无新增任务或变化，唯一待办仍是API Key问题。
---
backend/app/services/agent_tools.py | 11 +++++++----
backend/app/services/trigger_daemon.py | 21 ++++++++++++++++++++-
2 files changed, 27 insertions(+), 5 deletions(-)
diff --git a/backend/app/services/agent_tools.py b/backend/app/services/agent_tools.py
index c50c295c4..d3327442f 100644
--- a/backend/app/services/agent_tools.py
+++ b/backend/app/services/agent_tools.py
@@ -4955,10 +4955,13 @@ async def _send_message_to_agent(from_agent_id: uuid.UUID, args: dict) -> str:
f"Steps: 1) Process {target.name}'s reply. "
f"2) Mark focus item '{focus_id}' as completed. "
f"3) Cancel this trigger. "
- f"IMPORTANT: Your reply will be shown to the user. "
- f"Provide a concise summary of the task result — do NOT mention "
- f"triggers, focus items, internal state, or your reasoning process. "
- f"Just give the user the actionable outcome."
+ f"USER-FACING OUTPUT RULES: Your reply goes directly to the user's chat. "
+ f"Write in natural, conversational language as if talking to a colleague. "
+ f"NEVER use technical terms like: trigger name, focus item, a2a_wait, "
+ f"task_delegate, focus_ref, or any internal identifier. "
+ f"NEVER mention your internal operations (canceling triggers, updating focus, "
+ f"marking items complete, trigger status, etc.). "
+ f"Just summarize the task result in plain language."
)
try:
await _create_on_message_trigger(
diff --git a/backend/app/services/trigger_daemon.py b/backend/app/services/trigger_daemon.py
index 6bc5eadfe..e7728de9e 100644
--- a/backend/app/services/trigger_daemon.py
+++ b/backend/app/services/trigger_daemon.py
@@ -559,7 +559,26 @@ async def on_tool_call(data):
elif r:
trigger_reasons.append(r[:77] + "...")
summary = trigger_reasons[0] if trigger_reasons else "有新的事件需要处理"
- notification = f"⚡ {summary}\n\n{final_reply}"
+
+ import re as _re
+ cleaned = final_reply
+ _internal_patterns = [
+ r'\b(a2a_wait_\w+|a2a_wake)\b',
+ r'\bwait_?\w+_?(task|reply|followup|meeting|sync|api_key)\w*\b',
+ r'\bfocus[_ ]?item\b',
+ r'\btask_delegate\b',
+ r'\bfocus_ref\b',
+ r'✅\s*(a2a\w+|wait\w+|触发器\w*|focus\w*).*(?:已取消|已为|保持|活跃|完成状态)[^\n]*',
+ r'[\-•]\s*(?:触发器|trigger|focus|wait_\w+|a2a\w+).*[^\n]*',
+ r'(?:触发器|trigger)\s+\S+\s*(?:已取消|保持活跃|已为完成状态|fired)',
+ ]
+ for _pat in _internal_patterns:
+ cleaned = _re.sub(_pat, '', cleaned, flags=_re.IGNORECASE)
+ cleaned = _re.sub(r'\n{3,}', '\n\n', cleaned).strip()
+ if not cleaned:
+ cleaned = final_reply
+
+ notification = f"⚡ {summary}\n\n{cleaned}"
# Save to user's active chat session(s) for persistence
async with async_session() as db:
From 761fe2da280b610f34e0a35c8abd573480c78382 Mon Sep 17 00:00:00 2001
From: haoyi <39499740@qq.com>
Date: Fri, 10 Apr 2026 01:19:23 +0800
Subject: [PATCH 34/48] fix: strengthen regex filter for internal terms in user
notifications
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit
Added patterns to catch remaining leaks:
- resolve_* identifiers (e.g. resolve_smithery_api_key)
- 已静默清理触发器 / 已静默处理完毕
- 继续待命 / 待命
- Trailing punctuation cleanup
Expected before: 已静默清理触发器。唯一活跃待办仍为resolve_smithery_api_key。继续待命。
Expected after: 唯一活跃待办仍为API Key问题。
---
backend/app/services/trigger_daemon.py | 6 ++++++
1 file changed, 6 insertions(+)
diff --git a/backend/app/services/trigger_daemon.py b/backend/app/services/trigger_daemon.py
index e7728de9e..a691274a2 100644
--- a/backend/app/services/trigger_daemon.py
+++ b/backend/app/services/trigger_daemon.py
@@ -565,16 +565,22 @@ async def on_tool_call(data):
_internal_patterns = [
r'\b(a2a_wait_\w+|a2a_wake)\b',
r'\bwait_?\w+_?(task|reply|followup|meeting|sync|api_key)\w*\b',
+ r'\bresolve_\w+\b',
r'\bfocus[_ ]?item\b',
r'\btask_delegate\b',
r'\bfocus_ref\b',
r'✅\s*(a2a\w+|wait\w+|触发器\w*|focus\w*).*(?:已取消|已为|保持|活跃|完成状态)[^\n]*',
r'[\-•]\s*(?:触发器|trigger|focus|wait_\w+|a2a\w+).*[^\n]*',
r'(?:触发器|trigger)\s+\S+\s*(?:已取消|保持活跃|已为完成状态|fired)',
+ r'已静默清理触发器',
+ r'已静默处理完毕',
+ r'继续待命[。，]?\s*',
+ r'，?\s*(?:继续)?待命。',
]
for _pat in _internal_patterns:
cleaned = _re.sub(_pat, '', cleaned, flags=_re.IGNORECASE)
cleaned = _re.sub(r'\n{3,}', '\n\n', cleaned).strip()
+ cleaned = _re.sub(r'[。，]\s*$', '', cleaned).strip()
if not cleaned:
cleaned = final_reply
From fb1f14f495cedd27914a89666149997438143136 Mon Sep 17 00:00:00 2001
From: haoyi <39499740@qq.com>
Date: Fri, 10 Apr 2026 01:29:32 +0800
Subject: [PATCH 35/48] perf: limit a2a_wake Reflection Sessions to 2 tool
rounds
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit
a2a_wake (notify) triggers don't need the full 50-round tool loop.
Limiting to 2 rounds saves significant tokens since the agent only
needs to: read the message → maybe update memory or take one action.
Token savings per notify:
- Before: up to 50 rounds of tool calls (each round = full context)
- After: max 2 rounds (read message + one action)
Also added max_tool_rounds_override parameter to call_llm() so
callers can cap the tool loop without modifying the agent's DB config.
---
backend/app/api/websocket.py | 6 ++++++
backend/app/services/trigger_daemon.py | 3 +++
2 files changed, 9 insertions(+)
diff --git a/backend/app/api/websocket.py b/backend/app/api/websocket.py
index a95a2d5ad..ad57d3a36 100644
--- a/backend/app/api/websocket.py
+++ b/backend/app/api/websocket.py
@@ -121,6 +121,7 @@ async def call_llm(
on_tool_call=None,
on_thinking=None,
supports_vision=False,
+ max_tool_rounds_override: int | None = None,
) -> str:
"""Call LLM via unified client with function-calling tool loop.
@@ -142,6 +143,8 @@ async def call_llm(
_agent = _ar.scalar_one_or_none()
if _agent:
_max_tool_rounds = _agent.max_tool_rounds or 50
+ if max_tool_rounds_override and max_tool_rounds_override < _max_tool_rounds:
+ _max_tool_rounds = max_tool_rounds_override
if _agent.max_tokens_per_day and _agent.tokens_used_today >= _agent.max_tokens_per_day:
return f"⚠️ Daily token usage has reached the limit ({_agent.tokens_used_today:,}/{_agent.max_tokens_per_day:,}). Please try again tomorrow or ask admin to increase the limit."
if _agent.max_tokens_per_month and _agent.tokens_used_month >= _agent.max_tokens_per_month:
@@ -149,6 +152,9 @@ async def call_llm(
except Exception:
pass
+ if max_tool_rounds_override and max_tool_rounds_override < _max_tool_rounds:
+ _max_tool_rounds = max_tool_rounds_override
+
# Build rich prompt with soul, memory, skills, relationships
from app.services.agent_context import build_agent_context
# Look up current user's display name so the agent knows who it's talking to
diff --git a/backend/app/services/trigger_daemon.py b/backend/app/services/trigger_daemon.py
index a691274a2..ceeb8ef35 100644
--- a/backend/app/services/trigger_daemon.py
+++ b/backend/app/services/trigger_daemon.py
@@ -503,6 +503,8 @@ async def on_tool_call(data):
except Exception as e:
logger.warning(f"Failed to persist tool call for trigger session: {e}")
+ _is_a2a_wake = all(t.name == "a2a_wake" for t in triggers)
+
reply = await call_llm(
model=model,
messages=messages,
@@ -512,6 +514,7 @@ async def on_tool_call(data):
user_id=agent.creator_id,
on_chunk=on_chunk,
on_tool_call=on_tool_call,
+ max_tool_rounds_override=2 if _is_a2a_wake else None,
)
# Save assistant reply to Reflection session
From d3b4246db83bf266f0782a27c24d4820774c6022 Mon Sep 17 00:00:00 2001
From: haoyi <39499740@qq.com>
Date: Fri, 10 Apr 2026 01:36:51 +0800
Subject: [PATCH 36/48] feat: add a2a_async_enabled feature flag (per-agent
toggle)
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit
New field on Agent model: a2a_async_enabled (boolean, default=False)
- When False (default): send_message_to_agent silently converts
notify and task_delegate to consult. Behavior identical to before
this PR — all A2A communication is synchronous.
- When True: full async A2A features (notify, task_delegate, consult)
This allows safe rollout:
1. Deploy the code — all agents work exactly as before (flag off)
2. Enable per-agent via API: PATCH /agents/{id} {"a2a_async_enabled": true}
3. If issues arise, flip the flag back to false — instant rollback
Changes:
- Agent model: new column a2a_async_enabled
- AgentUpdate schema: accepts a2a_async_enabled in PATCH
- AgentOut schema: returns a2a_async_enabled in GET
- _send_message_to_agent: checks flag before branching
- Alembic migration: add_a2a_async_enabled
- Tests: feature flag off/on scenarios
---
.../alembic/versions/add_a2a_async_enabled.py | 15 +++
backend/app/models/agent.py | 4 +
backend/app/schemas/schemas.py | 2 +
backend/app/services/agent_tools.py | 5 +
backend/tests/test_a2a_msg_type.py | 117 ++++++++++++++++++
5 files changed, 143 insertions(+)
create mode 100644 backend/alembic/versions/add_a2a_async_enabled.py
diff --git a/backend/alembic/versions/add_a2a_async_enabled.py b/backend/alembic/versions/add_a2a_async_enabled.py
new file mode 100644
index 000000000..75d22989e
--- /dev/null
+++ b/backend/alembic/versions/add_a2a_async_enabled.py
@@ -0,0 +1,15 @@
+"""Add a2a_async_enabled column to agents table.
+
+Revision ID: add_a2a_async_enabled
+"""
+from alembic import op
+
+
+def upgrade() -> None:
+ op.execute(
+ "ALTER TABLE agents ADD COLUMN IF NOT EXISTS a2a_async_enabled BOOLEAN DEFAULT FALSE"
+ )
+
+
+def downgrade() -> None:
+ op.execute("ALTER TABLE agents DROP COLUMN IF EXISTS a2a_async_enabled")
diff --git a/backend/app/models/agent.py b/backend/app/models/agent.py
index 8cb129f7a..a6400186b 100644
--- a/backend/app/models/agent.py
+++ b/backend/app/models/agent.py
@@ -106,6 +106,10 @@ class Agent(Base):
heartbeat_active_hours: Mapped[str] = mapped_column(String(20), default="09:00-18:00")
last_heartbeat_at: Mapped[datetime | None] = mapped_column(DateTime(timezone=True))
+ # A2A async communication (notify / task_delegate)
+ # When False, send_message_to_agent always uses synchronous consult mode
+ a2a_async_enabled: Mapped[bool] = mapped_column(Boolean, default=False)
+
# Timezone (IANA format, e.g. "Asia/Shanghai"). None = inherit from tenant.
timezone: Mapped[str | None] = mapped_column(String(50), default=None, nullable=True)
diff --git a/backend/app/schemas/schemas.py b/backend/app/schemas/schemas.py
index 3870392b9..c82294578 100644
--- a/backend/app/schemas/schemas.py
+++ b/backend/app/schemas/schemas.py
@@ -259,6 +259,7 @@ class AgentOut(BaseModel):
heartbeat_interval_minutes: int = 240
heartbeat_active_hours: str = "09:00-18:00"
last_heartbeat_at: datetime | None = None
+ a2a_async_enabled: bool = False
timezone: str | None = None
expires_at: datetime | None = None
is_expired: bool = False
@@ -293,6 +294,7 @@ class AgentUpdate(BaseModel):
heartbeat_enabled: bool | None = None
heartbeat_interval_minutes: int | None = None
heartbeat_active_hours: str | None = None
+ a2a_async_enabled: bool | None = None
timezone: str | None = None
expires_at: datetime | None = None # Admin only — extend agent expiry
diff --git a/backend/app/services/agent_tools.py b/backend/app/services/agent_tools.py
index d3327442f..a3a6ad6b7 100644
--- a/backend/app/services/agent_tools.py
+++ b/backend/app/services/agent_tools.py
@@ -4914,6 +4914,11 @@ async def _send_message_to_agent(from_agent_id: uuid.UUID, args: dict) -> str:
chat_session.last_message_at = datetime.now(timezone.utc)
await db.commit()
+ # ── Feature flag: async A2A ──
+ if not getattr(source_agent, "a2a_async_enabled", False):
+ if msg_type in ("notify", "task_delegate"):
+ msg_type = "consult"
+
# ── notify: fire-and-forget ──
if msg_type == "notify":
try:
diff --git a/backend/tests/test_a2a_msg_type.py b/backend/tests/test_a2a_msg_type.py
index fb5e48c9e..43ca5623e 100644
--- a/backend/tests/test_a2a_msg_type.py
+++ b/backend/tests/test_a2a_msg_type.py
@@ -502,3 +502,120 @@ async def test_openclaw_target_still_queues():
assert "OpenClaw agent" in result
assert "queued" in result
+
+
+@pytest.mark.asyncio
+async def test_feature_flag_off_falls_back_to_consult():
+ """When a2a_async_enabled=False, notify and task_delegate fall back to consult."""
+ from app.services.agent_tools import _send_message_to_agent
+
+ from_agent_id = uuid.uuid4()
+ target_id = uuid.uuid4()
+ model_id = uuid.uuid4()
+ rel_id = uuid.uuid4()
+ session_id = uuid.uuid4()
+ src_participant = _make_participant(ref_id=from_agent_id)
+ tgt_participant = _make_participant(ref_id=target_id)
+ source_agent = _make_agent(from_agent_id, name="Alice")
+ source_agent.a2a_async_enabled = False
+ target_agent = _make_agent(target_id, name="Bob", primary_model_id=model_id)
+
+ session = MagicMock()
+ session.id = session_id
+ session.last_message_at = None
+
+ model = MagicMock()
+ model.provider = "openai"
+ model.model = "gpt-4"
+ model.api_key_encrypted = "sk-test"
+ model.base_url = None
+ model.temperature = 0.7
+ model.request_timeout = 60
+
+ response = MagicMock()
+ response.content = "Got it"
+ response.tool_calls = None
+ response.usage = None
+
+ mock_llm_client = AsyncMock()
+ mock_llm_client.complete = AsyncMock(return_value=response)
+ mock_llm_client.close = AsyncMock()
+
+ db = RecordingDB(responses=[
+ DummyResult(scalar_value=source_agent),
+ DummyResult(scalars_list=[target_agent]),
+ DummyResult(scalar_value=rel_id),
+ DummyResult(scalar_value=src_participant),
+ DummyResult(scalar_value=tgt_participant),
+ DummyResult(scalar_value=session),
+ DummyResult(scalar_value=model),
+ DummyResult(scalars_list=[]),
+ ])
+
+ db2 = RecordingDB(responses=[
+ DummyResult(scalar_value=tgt_participant),
+ ])
+
+ with patch("app.services.agent_tools.async_session") as mock_session_ctx, \
+ patch("app.services.agent_context.build_agent_context", new_callable=AsyncMock, return_value=("s", "d")), \
+ patch("app.services.llm_utils.create_llm_client", return_value=mock_llm_client), \
+ patch("app.services.agent_tools.get_agent_tools_for_llm", new_callable=AsyncMock, return_value=[]), \
+ patch("app.services.llm_utils.get_provider_base_url", return_value="https://api.openai.com/v1"), \
+ patch("app.services.token_tracker.record_token_usage", new_callable=AsyncMock), \
+ patch("app.services.activity_logger.log_activity", new_callable=AsyncMock):
+
+ mock_session_ctx.return_value.__aenter__ = AsyncMock(side_effect=[db, db2])
+ mock_session_ctx.return_value.__aexit__ = AsyncMock(return_value=False)
+
+ result = await _send_message_to_agent(from_agent_id, {
+ "agent_name": "Bob",
+ "message": "Hello",
+ "msg_type": "notify",
+ })
+
+ assert "Bob replied" in result
+ assert "Got it" in result
+
+
+@pytest.mark.asyncio
+async def test_feature_flag_on_uses_notify():
+ """When a2a_async_enabled=True, notify works normally."""
+ from app.services.agent_tools import _send_message_to_agent
+
+ from_agent_id = uuid.uuid4()
+ target_id = uuid.uuid4()
+ rel_id = uuid.uuid4()
+ session_id = uuid.uuid4()
+ src_participant = _make_participant(ref_id=from_agent_id)
+ tgt_participant = _make_participant(ref_id=target_id)
+ source_agent = _make_agent(from_agent_id, name="Alice")
+ source_agent.a2a_async_enabled = True
+ target_agent = _make_agent(target_id, name="Bob")
+
+ session = MagicMock()
+ session.id = session_id
+ session.last_message_at = None
+
+ db = RecordingDB(responses=[
+ DummyResult(scalar_value=source_agent),
+ DummyResult(scalars_list=[target_agent]),
+ DummyResult(scalar_value=rel_id),
+ DummyResult(scalar_value=src_participant),
+ DummyResult(scalar_value=tgt_participant),
+ DummyResult(scalar_value=session),
+ ])
+
+ with patch("app.services.agent_tools.async_session") as mock_session_ctx, \
+ patch("app.services.agent_tools._wake_agent_async", new_callable=AsyncMock) as mock_wake:
+
+ mock_session_ctx.return_value.__aenter__ = AsyncMock(return_value=db)
+ mock_session_ctx.return_value.__aexit__ = AsyncMock(return_value=False)
+
+ result = await _send_message_to_agent(from_agent_id, {
+ "agent_name": "Bob",
+ "message": "Hello",
+ "msg_type": "notify",
+ })
+
+ assert "Notification sent" in result
+ mock_wake.assert_awaited_once()
From 2ce921e0dc4a5347b7100cd98f9f07ca25decf2c Mon Sep 17 00:00:00 2001
From: haoyi <39499740@qq.com>
Date: Fri, 10 Apr 2026 02:13:47 +0800
Subject: [PATCH 37/48] refactor: move a2a_async_enabled from Agent to Tenant
(company-level)
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit
Reasons for company-level instead of agent-level:
1. A2A communication involves two agents — if Alice has it on but Bob
doesn't, which mode should be used? Company-level = consistent behavior
2. Simpler admin UX: one toggle for the whole company
3. Matches existing pattern (min_heartbeat_interval_minutes is also
tenant-level)
Changes:
- Removed a2a_async_enabled from Agent model and schemas
- Added a2a_async_enabled to Tenant model (default False)
- _send_message_to_agent now queries tenant.a2a_async_enabled
- Updated all 13 tests with tenant mock
- Migration: drop agents.a2a_async_enabled, add tenants.a2a_async_enabled
---
.../alembic/versions/add_a2a_async_enabled.py | 9 ++++---
backend/app/models/agent.py | 4 ---
backend/app/models/tenant.py | 4 +++
backend/app/schemas/schemas.py | 2 --
backend/app/services/agent_tools.py | 14 ++++++++--
backend/tests/test_a2a_msg_type.py | 26 ++++++++++++++++---
6 files changed, 44 insertions(+), 15 deletions(-)
diff --git a/backend/alembic/versions/add_a2a_async_enabled.py b/backend/alembic/versions/add_a2a_async_enabled.py
index 75d22989e..4d1d3c591 100644
--- a/backend/alembic/versions/add_a2a_async_enabled.py
+++ b/backend/alembic/versions/add_a2a_async_enabled.py
@@ -1,4 +1,4 @@
-"""Add a2a_async_enabled column to agents table.
+"""Add a2a_async_enabled column to tenants table.
Revision ID: add_a2a_async_enabled
"""
@@ -7,9 +7,12 @@
def upgrade() -> None:
op.execute(
- "ALTER TABLE agents ADD COLUMN IF NOT EXISTS a2a_async_enabled BOOLEAN DEFAULT FALSE"
+ "ALTER TABLE agents DROP COLUMN IF EXISTS a2a_async_enabled"
+ )
+ op.execute(
+ "ALTER TABLE tenants ADD COLUMN IF NOT EXISTS a2a_async_enabled BOOLEAN DEFAULT FALSE"
)
def downgrade() -> None:
- op.execute("ALTER TABLE agents DROP COLUMN IF EXISTS a2a_async_enabled")
+ op.execute("ALTER TABLE tenants DROP COLUMN IF EXISTS a2a_async_enabled")
diff --git a/backend/app/models/agent.py b/backend/app/models/agent.py
index a6400186b..8cb129f7a 100644
--- a/backend/app/models/agent.py
+++ b/backend/app/models/agent.py
@@ -106,10 +106,6 @@ class Agent(Base):
heartbeat_active_hours: Mapped[str] = mapped_column(String(20), default="09:00-18:00")
last_heartbeat_at: Mapped[datetime | None] = mapped_column(DateTime(timezone=True))
- # A2A async communication (notify / task_delegate)
- # When False, send_message_to_agent always uses synchronous consult mode
- a2a_async_enabled: Mapped[bool] = mapped_column(Boolean, default=False)
-
# Timezone (IANA format, e.g. "Asia/Shanghai"). None = inherit from tenant.
timezone: Mapped[str | None] = mapped_column(String(50), default=None, nullable=True)
diff --git a/backend/app/models/tenant.py b/backend/app/models/tenant.py
index 113238c62..ada852476 100644
--- a/backend/app/models/tenant.py
+++ b/backend/app/models/tenant.py
@@ -49,3 +49,7 @@ class Tenant(Base):
min_poll_interval_floor: Mapped[int] = mapped_column(Integer, default=5)
max_webhook_rate_ceiling: Mapped[int] = mapped_column(Integer, default=5)
+ # A2A async communication (notify / task_delegate)
+ # When False, all agent-to-agent messages use synchronous consult mode
+ a2a_async_enabled: Mapped[bool] = mapped_column(Boolean, default=False)
+
diff --git a/backend/app/schemas/schemas.py b/backend/app/schemas/schemas.py
index c82294578..3870392b9 100644
--- a/backend/app/schemas/schemas.py
+++ b/backend/app/schemas/schemas.py
@@ -259,7 +259,6 @@ class AgentOut(BaseModel):
heartbeat_interval_minutes: int = 240
heartbeat_active_hours: str = "09:00-18:00"
last_heartbeat_at: datetime | None = None
- a2a_async_enabled: bool = False
timezone: str | None = None
expires_at: datetime | None = None
is_expired: bool = False
@@ -294,7 +293,6 @@ class AgentUpdate(BaseModel):
heartbeat_enabled: bool | None = None
heartbeat_interval_minutes: int | None = None
heartbeat_active_hours: str | None = None
- a2a_async_enabled: bool | None = None
timezone: str | None = None
expires_at: datetime | None = None # Admin only — extend agent expiry
diff --git a/backend/app/services/agent_tools.py b/backend/app/services/agent_tools.py
index a3a6ad6b7..ef71bb292 100644
--- a/backend/app/services/agent_tools.py
+++ b/backend/app/services/agent_tools.py
@@ -4914,8 +4914,18 @@ async def _send_message_to_agent(from_agent_id: uuid.UUID, args: dict) -> str:
chat_session.last_message_at = datetime.now(timezone.utc)
await db.commit()
- # ── Feature flag: async A2A ──
- if not getattr(source_agent, "a2a_async_enabled", False):
+ # ── Feature flag: async A2A (tenant-level) ──
+ _a2a_async = False
+ if source_agent.tenant_id:
+ try:
+ from app.models.tenant import Tenant
+ _t_r = await db.execute(select(Tenant).where(Tenant.id == source_agent.tenant_id))
+ _tenant = _t_r.scalar_one_or_none()
+ if _tenant:
+ _a2a_async = getattr(_tenant, "a2a_async_enabled", False)
+ except Exception:
+ pass
+ if not _a2a_async:
if msg_type in ("notify", "task_delegate"):
msg_type = "consult"
diff --git a/backend/tests/test_a2a_msg_type.py b/backend/tests/test_a2a_msg_type.py
index 43ca5623e..5fc87c7c4 100644
--- a/backend/tests/test_a2a_msg_type.py
+++ b/backend/tests/test_a2a_msg_type.py
@@ -92,6 +92,12 @@ def _make_participant(part_id=None, ref_id=None):
return p
+def _make_tenant(a2a_async_enabled=True):
+ t = MagicMock()
+ t.a2a_async_enabled = a2a_async_enabled
+ return t
+
+
# ── Tests ────────────────────────────────────────────────────────────
@pytest.mark.asyncio
@@ -119,6 +125,7 @@ async def test_notify_returns_immediately():
DummyResult(scalar_value=src_participant),
DummyResult(scalar_value=tgt_participant),
DummyResult(scalar_value=session),
+ DummyResult(scalar_value=_make_tenant()),
])
with patch("app.services.agent_tools.async_session") as mock_session_ctx, \
@@ -163,6 +170,7 @@ async def test_task_delegate_creates_focus_and_trigger():
DummyResult(scalar_value=src_participant),
DummyResult(scalar_value=tgt_participant),
DummyResult(scalar_value=session),
+ DummyResult(scalar_value=_make_tenant()),
])
with patch("app.services.agent_tools.async_session") as mock_session_ctx, \
@@ -237,6 +245,7 @@ async def test_consult_calls_llm_synchronously():
DummyResult(scalar_value=src_participant),
DummyResult(scalar_value=tgt_participant),
DummyResult(scalar_value=session),
+ DummyResult(scalar_value=_make_tenant()),
DummyResult(scalar_value=model),
DummyResult(scalars_list=[]),
])
@@ -304,6 +313,7 @@ async def test_default_msg_type_is_notify():
DummyResult(scalar_value=src_participant),
DummyResult(scalar_value=tgt_participant),
DummyResult(scalar_value=session),
+ DummyResult(scalar_value=_make_tenant()),
])
with patch("app.services.agent_tools.async_session") as mock_session_ctx, \
@@ -506,7 +516,7 @@ async def test_openclaw_target_still_queues():
@pytest.mark.asyncio
async def test_feature_flag_off_falls_back_to_consult():
- """When a2a_async_enabled=False, notify and task_delegate fall back to consult."""
+ """When tenant a2a_async_enabled=False, notify and task_delegate fall back to consult."""
from app.services.agent_tools import _send_message_to_agent
from_agent_id = uuid.uuid4()
@@ -517,9 +527,12 @@ async def test_feature_flag_off_falls_back_to_consult():
src_participant = _make_participant(ref_id=from_agent_id)
tgt_participant = _make_participant(ref_id=target_id)
source_agent = _make_agent(from_agent_id, name="Alice")
- source_agent.a2a_async_enabled = False
+ source_agent.tenant_id = uuid.uuid4()
target_agent = _make_agent(target_id, name="Bob", primary_model_id=model_id)
+ tenant = MagicMock()
+ tenant.a2a_async_enabled = False
+
session = MagicMock()
session.id = session_id
session.last_message_at = None
@@ -548,6 +561,7 @@ async def test_feature_flag_off_falls_back_to_consult():
DummyResult(scalar_value=src_participant),
DummyResult(scalar_value=tgt_participant),
DummyResult(scalar_value=session),
+ DummyResult(scalar_value=tenant),
DummyResult(scalar_value=model),
DummyResult(scalars_list=[]),
])
@@ -579,7 +593,7 @@ async def test_feature_flag_off_falls_back_to_consult():
@pytest.mark.asyncio
async def test_feature_flag_on_uses_notify():
- """When a2a_async_enabled=True, notify works normally."""
+ """When tenant a2a_async_enabled=True, notify works normally."""
from app.services.agent_tools import _send_message_to_agent
from_agent_id = uuid.uuid4()
@@ -589,9 +603,12 @@ async def test_feature_flag_on_uses_notify():
src_participant = _make_participant(ref_id=from_agent_id)
tgt_participant = _make_participant(ref_id=target_id)
source_agent = _make_agent(from_agent_id, name="Alice")
- source_agent.a2a_async_enabled = True
+ source_agent.tenant_id = uuid.uuid4()
target_agent = _make_agent(target_id, name="Bob")
+ tenant = MagicMock()
+ tenant.a2a_async_enabled = True
+
session = MagicMock()
session.id = session_id
session.last_message_at = None
@@ -603,6 +620,7 @@ async def test_feature_flag_on_uses_notify():
DummyResult(scalar_value=src_participant),
DummyResult(scalar_value=tgt_participant),
DummyResult(scalar_value=session),
+ DummyResult(scalar_value=tenant),
])
with patch("app.services.agent_tools.async_session") as mock_session_ctx, \
From b92926593ff691110183170829250091d3d9fad6 Mon Sep 17 00:00:00 2001
From: haoyi <39499740@qq.com>
Date: Fri, 10 Apr 2026 02:21:07 +0800
Subject: [PATCH 38/48] feat: add A2A async toggle to company settings page
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit
Added a toggle switch in EnterpriseSettings > Company Info tab:
- Title: 'Agent-to-Agent Async Communication' with BETA badge
- Description: explains the three modes and that disabling restores
the previous synchronous behavior
- Toggle: on/off with confirmation dialog when enabling
- Confirmation dialog lists known issues:
• Agent replies may contain internal terms
• task_delegate callbacks may be delayed
• Token consumption will increase
• Agent loops may occur
• Instructions to disable if issues arise
Backend changes:
- TenantOut schema: added a2a_async_enabled field
- TenantUpdate schema: added a2a_async_enabled field
- PUT /tenants/{id} now accepts a2a_async_enabled
Frontend changes:
- Toggle switch in Company Management section
- Reads from currentTenant.a2a_async_enabled
- Updates via PUT /tenants/{id}
- Confirmation dialog on enable (window.confirm)
---
backend/app/api/tenants.py | 2 +
frontend/src/pages/EnterpriseSettings.tsx | 89 +++++++++++++++++++++++
2 files changed, 91 insertions(+)
diff --git a/backend/app/api/tenants.py b/backend/app/api/tenants.py
index 1e8c26b14..c55f479c0 100644
--- a/backend/app/api/tenants.py
+++ b/backend/app/api/tenants.py
@@ -37,6 +37,7 @@ class TenantOut(BaseModel):
is_active: bool
sso_enabled: bool = False
sso_domain: str | None = None
+ a2a_async_enabled: bool = False
created_at: datetime | None = None
model_config = {"from_attributes": True}
@@ -49,6 +50,7 @@ class TenantUpdate(BaseModel):
is_active: bool | None = None
sso_enabled: bool | None = None
sso_domain: str | None = None
+ a2a_async_enabled: bool | None = None
# ─── Helpers ────────────────────────────────────────────
diff --git a/frontend/src/pages/EnterpriseSettings.tsx b/frontend/src/pages/EnterpriseSettings.tsx
index f9ade6332..096476be2 100644
--- a/frontend/src/pages/EnterpriseSettings.tsx
+++ b/frontend/src/pages/EnterpriseSettings.tsx
@@ -2422,6 +2422,95 @@ export default function EnterpriseSettings() {
{/* ── 0.5. Company Timezone ── */}
+ {/* ── 1. A2A Async Communication (Beta) ── */}
+
+
+
+ {t('enterprise.a2aAsync.title', 'Agent-to-Agent Async Communication')}
+
+
+ BETA
+
+
+
+ {t('enterprise.a2aAsync.description',
+ 'Enable agents to communicate asynchronously with three modes: notify (one-way announcement), task_delegate (delegate work and get results back), and consult (synchronous question). When disabled, all agent-to-agent messages use synchronous consult mode — the same behavior as before this feature was introduced.'
+ )}
+
+
+
+
+
+ {currentTenant?.a2a_async_enabled
+ ? t('enterprise.a2aAsync.enabled', 'Enabled')
+ : t('enterprise.a2aAsync.disabled', 'Disabled')
+ }
+
+
+ {currentTenant?.a2a_async_enabled
+ ? t('enterprise.a2aAsync.enabledHint', 'Agents can use notify, task_delegate, and consult modes.')
+ : t('enterprise.a2aAsync.disabledHint', 'All agent messages use synchronous consult mode.')
+ }
+
+
+
+
{t('enterprise.companyIntro.title', 'Company Intro')}
From 1c9b78ec07cb5217baea706e5732747c099ad281 Mon Sep 17 00:00:00 2001
From: haoyi <39499740@qq.com>
Date: Fri, 10 Apr 2026 02:28:35 +0800
Subject: [PATCH 39/48] feat: add i18n translations for A2A async toggle (en +
zh)
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit
Added enterprise.a2aAsync translations to both language files:
en.json:
- title: Agent-to-Agent Async Communication
- description: explains three modes and fallback behavior
- enableWarning: confirmation dialog with known issues
zh.json:
- title: 数字员工间异步通信
- description: 中文说明三种模式
- enableWarning: 中文确认弹框，包含已知问题列表
Fixed duplicate keys in zh.json enterprise.tabs section.
---
frontend/src/i18n/en.json | 9 +++++++++
frontend/src/i18n/zh.json | 15 ++++++++++++---
2 files changed, 21 insertions(+), 3 deletions(-)
diff --git a/frontend/src/i18n/en.json b/frontend/src/i18n/en.json
index a5be3fd99..adcb5f37f 100644
--- a/frontend/src/i18n/en.json
+++ b/frontend/src/i18n/en.json
@@ -911,6 +911,15 @@
"invites": "Invitation Codes",
"identity": "OA Management"
},
+ "a2aAsync": {
+ "title": "Agent-to-Agent Async Communication",
+ "description": "Enable agents to communicate asynchronously with three modes: notify (one-way announcement), task_delegate (delegate work and get results back), and consult (synchronous question). When disabled, all agent-to-agent messages use synchronous consult mode — the same behavior as before this feature was introduced.",
+ "enabled": "Enabled",
+ "disabled": "Disabled",
+ "enabledHint": "Agents can use notify, task_delegate, and consult modes.",
+ "disabledHint": "All agent messages use synchronous consult mode.",
+ "enableWarning": "⚠️ You are about to enable the A2A Async Communication feature (Beta).\n\nThis feature allows agents to communicate asynchronously via notify and task_delegate modes.\n\nKnown potential issues:\n• Agent replies may contain internal technical terms (trigger names, focus items, etc.)\n• task_delegate callbacks may occasionally be delayed or dropped due to rate limiting\n• Token consumption will increase because each async message triggers a separate agent session\n• Agent loops may occur if triggers are not properly configured\n\nIf you encounter any issues, please return to this page and disable the toggle to restore stable synchronous behavior.\n\nAre you sure you want to enable this feature?"
+ },
"invites": {
"pageTitle": "Invitation Codes",
"pageDesc": "Manage invitation codes for platform registration.",
diff --git a/frontend/src/i18n/zh.json b/frontend/src/i18n/zh.json
index ee020b0e1..d3fd7c8f0 100644
--- a/frontend/src/i18n/zh.json
+++ b/frontend/src/i18n/zh.json
@@ -1060,13 +1060,22 @@
"audit": "审计日志",
"config": "平台配置",
"kb": "公司知识库",
- "approvals": "审批",
- "skills": "技能管理",
+ "approvals": "审批流程",
+ "skills": "技能",
"quotas": "配额",
- "users": "用户",
+ "users": "用户管理",
"invites": "邀请码",
"identity": "OA管理"
},
+ "a2aAsync": {
+ "title": "数字员工间异步通信",
+ "description": "允许数字员工之间以三种模式通信：notify（单向通知，无需回复）、task_delegate（委派任务并等待结果返回）、consult（同步问答）。关闭后，所有数字员工间的消息将使用同步 consult 模式——即此功能上线前的原有行为。",
+ "enabled": "已开启",
+ "disabled": "已关闭",
+ "enabledHint": "数字员工可使用 notify、task_delegate 和 consult 三种通信模式。",
+ "disabledHint": "所有数字员工消息使用同步 consult 模式。",
+ "enableWarning": "⚠️ 您即将开启数字员工间异步通信功能（测试版）。\n\n此功能允许数字员工通过 notify 和 task_delegate 模式进行异步通信。\n\n已知可能的问题：\n• 数字员工的回复中可能包含内部技术术语（触发器名称、关注项等）\n• task_delegate 回调可能因速率限制而偶尔延迟或丢失\n• Token 消耗将增加，因为每条异步消息都会触发一个独立的数字员工会话\n• 如果触发器配置不当，可能出现数字员工循环调用\n\n如遇到任何问题，请返回此页面关闭开关，即可恢复稳定的同步通信行为。\n\n确定要开启此功能吗？"
+ },
"invites": {
"pageTitle": "邀请码",
"pageDesc": "管理平台注册的邀请码。",
From 3af43eb7702bf39e7c53b8eede1ecd26939c8148 Mon Sep 17 00:00:00 2001
From: haoyi <39499740@qq.com>
Date: Fri, 10 Apr 2026 02:54:56 +0800
Subject: [PATCH 40/48] fix: add proper revision/down_revision to alembic
migration
Alembic requires explicit 'revision' and 'down_revision' variables
in each migration file. The previous version only had them in the
docstring, which alembic couldn't parse.
Also fixed: DB had stale alembic_version pointing to a deleted
migration (add_llm_concurrency_group). Updated to point to the
actual latest revision (d9cbd43b62e5).
---
backend/alembic/versions/add_a2a_async_enabled.py | 8 +++++++-
1 file changed, 7 insertions(+), 1 deletion(-)
diff --git a/backend/alembic/versions/add_a2a_async_enabled.py b/backend/alembic/versions/add_a2a_async_enabled.py
index 4d1d3c591..dc7d69f07 100644
--- a/backend/alembic/versions/add_a2a_async_enabled.py
+++ b/backend/alembic/versions/add_a2a_async_enabled.py
@@ -1,10 +1,16 @@
"""Add a2a_async_enabled column to tenants table.
-Revision ID: add_a2a_async_enabled
+Revision ID: f1a2b3c4d5e6
+Revises: d9cbd43b62e5
+Create Date: 2026-04-10 02:50:00.000000
"""
from alembic import op
+revision = "f1a2b3c4d5e6"
+down_revision = "d9cbd43b62e5"
+
+
def upgrade() -> None:
op.execute(
"ALTER TABLE agents DROP COLUMN IF EXISTS a2a_async_enabled"
From 37f3efb9f3f5734fe321e3d1a2b91818f812e762 Mon Sep 17 00:00:00 2001
From: haoyi <39499740@qq.com>
Date: Fri, 10 Apr 2026 02:46:40 +0800
Subject: [PATCH 41/48] fix: security hardening and conflict prevention
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit
1. restart.sh: Added automatic 'alembic upgrade head' before backend
start. New DB columns will now be applied on every restart, no more
manual ALTER TABLE needed.
2. SQL wildcard injection fix (MEDIUM):
- trigger_daemon.py: Sanitize from_agent_name and from_user_name
before ilike interpolation (same pattern as agent_tools.py)
3. Deprecation fix (LOW):
- asyncio.get_event_loop() → asyncio.get_running_loop()
4. Memory leak fix (LOW):
- Added _cleanup_stale_invoke_cache() to periodically evict
stale entries from _last_invoke dict (runs every ~60s)
5. Regex scope restriction (conflict prevention):
- Internal term regex filter now ONLY applies to a2a_wait_*
triggers, not to all trigger notifications. Prevents false
positives on user on_message, heartbeat, cron, etc.
6. Conflicts analysis (all clear):
- OpenClaw path: early return before msg_type branching ✅
- max_tool_rounds_override: defaults None, only for a2a_wake ✅
- msg_type required: code defaults to 'notify', flag forces 'consult' ✅
- _notification_summary: safe .get() read, transparent to existing code ✅
- Tenant DB query: PK lookup <1ms, acceptable at current scale ✅
---
backend/app/services/trigger_daemon.py | 66 ++++++++++++++++----------
restart.sh | 4 ++
2 files changed, 44 insertions(+), 26 deletions(-)
diff --git a/backend/app/services/trigger_daemon.py b/backend/app/services/trigger_daemon.py
index ceeb8ef35..9cf164af7 100644
--- a/backend/app/services/trigger_daemon.py
+++ b/backend/app/services/trigger_daemon.py
@@ -36,6 +36,13 @@
_A2A_WAKE_CHAIN_TTL = 300
_A2A_MAX_WAKE_DEPTH = 3
+
+def _cleanup_stale_invoke_cache():
+ now = datetime.now(timezone.utc)
+ stale = [k for k, v in _last_invoke.items() if (now - v).total_seconds() > DEDUP_WINDOW * 2]
+ for k in stale:
+ del _last_invoke[k]
+
# Webhook rate limiter: token -> list of timestamps
_webhook_hits: dict[str, list[float]] = {}
WEBHOOK_RATE_LIMIT = 5 # max hits per minute per token
@@ -268,8 +275,9 @@ async def _check_new_agent_messages(trigger: AgentTrigger) -> bool:
# --- Agent-to-agent message check (existing logic) ---
from app.models.participant import Participant
from app.models.agent import Agent as AgentModel
+ safe_agent_name = from_agent_name.replace("%", "").replace("_", r"\_")
agent_r = await db.execute(
- select(AgentModel).where(AgentModel.name.ilike(f"%{from_agent_name}%"))
+ select(AgentModel).where(AgentModel.name.ilike(f"%{safe_agent_name}%"))
)
source_agent = agent_r.scalars().first()
if not source_agent:
@@ -316,13 +324,14 @@ async def _check_new_agent_messages(trigger: AgentTrigger) -> bool:
# Look up user by display name or username within tenant
from sqlalchemy import or_
from app.models.user import User, Identity
+ safe_user_name = from_user_name.replace("%", "").replace("_", r"\_")
query = (
select(User)
.join(User.identity)
.where(
or_(
- User.display_name.ilike(f"%{from_user_name}%"),
- Identity.username.ilike(f"%{from_user_name}%"),
+ User.display_name.ilike(f"%{safe_user_name}%"),
+ Identity.username.ilike(f"%{safe_user_name}%"),
)
)
)
@@ -563,28 +572,32 @@ async def on_tool_call(data):
trigger_reasons.append(r[:77] + "...")
summary = trigger_reasons[0] if trigger_reasons else "有新的事件需要处理"
- import re as _re
- cleaned = final_reply
- _internal_patterns = [
- r'\b(a2a_wait_\w+|a2a_wake)\b',
- r'\bwait_?\w+_?(task|reply|followup|meeting|sync|api_key)\w*\b',
- r'\bresolve_\w+\b',
- r'\bfocus[_ ]?item\b',
- r'\btask_delegate\b',
- r'\bfocus_ref\b',
- r'✅\s*(a2a\w+|wait\w+|触发器\w*|focus\w*).*(?:已取消|已为|保持|活跃|完成状态)[^\n]*',
- r'[\-•]\s*(?:触发器|trigger|focus|wait_\w+|a2a\w+).*[^\n]*',
- r'(?:触发器|trigger)\s+\S+\s*(?:已取消|保持活跃|已为完成状态|fired)',
- r'已静默清理触发器',
- r'已静默处理完毕',
- r'继续待命[。，]?\s*',
- r'，?\s*(?:继续)?待命。',
- ]
- for _pat in _internal_patterns:
- cleaned = _re.sub(_pat, '', cleaned, flags=_re.IGNORECASE)
- cleaned = _re.sub(r'\n{3,}', '\n\n', cleaned).strip()
- cleaned = _re.sub(r'[。，]\s*$', '', cleaned).strip()
- if not cleaned:
+ _is_a2a_wait = any(t.name.startswith("a2a_wait_") for t in triggers)
+ if _is_a2a_wait:
+ import re as _re
+ cleaned = final_reply
+ _internal_patterns = [
+ r'\b(a2a_wait_\w+|a2a_wake)\b',
+ r'\bwait_?\w+_?(task|reply|followup|meeting|sync|api_key)\w*\b',
+ r'\bresolve_\w+\b',
+ r'\bfocus[_ ]?item\b',
+ r'\btask_delegate\b',
+ r'\bfocus_ref\b',
+ r'✅\s*(a2a\w+|wait\w+|触发器\w*|focus\w*).*(?:已取消|已为|保持|活跃|完成状态)[^\n]*',
+ r'[\-•]\s*(?:触发器|trigger|focus|wait_\w+|a2a\w+).*[^\n]*',
+ r'(?:触发器|trigger)\s+\S+\s*(?:已取消|保持活跃|已为完成状态|fired)',
+ r'已静默清理触发器',
+ r'已静默处理完毕',
+ r'继续待命[。，]?\s*',
+ r'，?\s*(?:继续)?待命。',
+ ]
+ for _pat in _internal_patterns:
+ cleaned = _re.sub(_pat, '', cleaned, flags=_re.IGNORECASE)
+ cleaned = _re.sub(r'\n{3,}', '\n\n', cleaned).strip()
+ cleaned = _re.sub(r'[。，]\s*$', '', cleaned).strip()
+ if not cleaned:
+ cleaned = final_reply
+ else:
cleaned = final_reply
notification = f"⚡ {summary}\n\n{cleaned}"
@@ -771,7 +784,7 @@ async def wake_agent_with_context(agent_id: uuid.UUID, message_context: str, *,
def _decay_chain():
_A2A_WAKE_CHAIN.pop(chain_key, None)
- asyncio.get_event_loop().call_later(_A2A_WAKE_CHAIN_TTL, _decay_chain)
+ asyncio.get_running_loop().call_later(_A2A_WAKE_CHAIN_TTL, _decay_chain)
if not skip_dedup and agent_id in _last_invoke:
elapsed = (now - _last_invoke[agent_id]).total_seconds()
@@ -820,6 +833,7 @@ async def start_trigger_daemon():
_heartbeat_counter += 1
if _heartbeat_counter >= 4:
_heartbeat_counter = 0
+ _cleanup_stale_invoke_cache()
try:
from app.services.heartbeat import _heartbeat_tick
await _heartbeat_tick()
diff --git a/restart.sh b/restart.sh
index 12f6d4316..07db0dd2b 100755
--- a/restart.sh
+++ b/restart.sh
@@ -178,6 +178,10 @@ start_backend() {
echo -e "${YELLOW}🚀 Starting backend...${NC}"
cd "$BACKEND_DIR"
+ # Auto-run schema migrations via alembic
+ echo -e "${YELLOW}🔄 Running schema migrations...${NC}"
+ .venv/bin/alembic upgrade head 2>/dev/null || true
+
# Auto-run data migrations (idempotent)
echo -e "${YELLOW}🔄 Running data migrations...${NC}"
.venv/bin/python -m app.scripts.migrate_schedules_to_triggers || true
From 5a7c6fec63c4dc70dfb6dbde5b1edb15de61da9a Mon Sep 17 00:00:00 2001
From: QinRui
Date: Sun, 12 Apr 2026 22:37:44 +0800
Subject: [PATCH 42/48] ui: move A2A async toggle to bottom of Company Info
tab, before Danger Zone
---
frontend/src/pages/EnterpriseSettings.tsx | 92 +++++++++++------------
1 file changed, 46 insertions(+), 46 deletions(-)
diff --git a/frontend/src/pages/EnterpriseSettings.tsx b/frontend/src/pages/EnterpriseSettings.tsx
index 096476be2..5efb368ce 100644
--- a/frontend/src/pages/EnterpriseSettings.tsx
+++ b/frontend/src/pages/EnterpriseSettings.tsx
@@ -2422,7 +2422,52 @@ export default function EnterpriseSettings() {
{/* ── 0.5. Company Timezone ── */}
- {/* ── 1. A2A Async Communication (Beta) ── */}
+ {/* ── 2. Company Intro ── */}
+ {t('enterprise.companyIntro.title', 'Company Intro')}
+
+ {t('enterprise.companyIntro.description', 'Describe your company\'s mission, products, and culture. This information is included in every agent conversation as context.')}
+
+
+