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openclaw - 💡(How to fix) Fix iMessage bridge drops inbound messages during high session lane activity [1 participants]

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openclaw/openclaw#57892•Fetched 2026-04-08 01:56:27
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Fix Action

Workaround

None known. User must re-send the message.

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Bug Description

Inbound iMessage messages are silently dropped when the session lane is processing rapid-fire events (e.g., inter-session messages from sub-agents).

Steps to Reproduce

  1. Have an active iMessage DM session with the main agent
  2. Trigger multiple rapid inter-session messages (e.g., via sessions_send from another agent) that arrive within seconds
  3. Send an iMessage from the user during or immediately after this burst
  4. The user's message appears in Messages.app (chat.db) but is never received by the gateway

Evidence

  • Gateway diagnostic log shows lane wait exceeded: waitedMs=7957 at 14:42:21 on the affected session
  • At 14:42-14:42:51, 5 rapid inter-session messages + responses processed on the same session lane
  • User message sent at 14:43:13 (confirmed in chat.db via SQL query)
  • Zero gateway log entries at 14:43 — no iMessage inbound event, no session activity
  • Next gateway activity on that session is 18 minutes later when user sends another message
  • The dropped message was never delivered to the agent session

Expected Behavior

All inbound iMessages should be queued and delivered regardless of concurrent session lane activity.

Environment

  • OpenClaw 2026.3.23-2 (7ffe7e4)
  • macOS (Apple Silicon, M4)
  • iMessage channel (native Messages.app integration)
  • Model: anthropic/claude-opus-4-6

Workaround

None known. User must re-send the message.

extent analysis

Fix Plan

To address the issue of silently dropped iMessage messages during rapid-fire events, we need to implement a message queueing system that can handle concurrent session lane activity.

  1. Modify the session lane processing:

    • Introduce a message queue that stores incoming messages temporarily if the session lane is busy.
    • Use a thread-safe queue implementation to handle concurrent access.

  2. Implement a retry mechanism:

    • If a message cannot be processed immediately, add it to the queue and retry after a short delay.
    • Limit the number of retries to prevent infinite loops.

  3. Update the gateway log:

    • Log queue operations (add, retry, success, failure) for debugging purposes.

Example Code (Python):

import threading
from queue import Queue
import time

class MessageQueue:
    def __init__(self):
        self.queue = Queue()
        self.lock = threading.Lock()

    def add_message(self, message):
        with self.lock:
            self.queue.put(message)

    def process_message(self):
        with self.lock:
            if not self.queue.empty():
                message = self.queue.get()
                # Process the message
                print(f"Processing message: {message}")
                # Simulate processing time
                time.sleep(1)
                print(f"Message processed: {message}")
            else:
                print("Queue is empty")

def retry_message(queue, message, max_retries=3):
    retries = 0
    while retries < max_retries:
        try:
            queue.process_message()
            break
        except Exception as e:
            print(f"Error processing message: {e}")
            retries += 1
            time.sleep(1)  # Wait before retrying

# Create a message queue
message_queue = MessageQueue()

# Add messages to the queue
message_queue.add_message("Message 1")
message_queue.add_message("Message 2")

# Process messages in the queue
while True:
    message_queue.process_message()
    time.sleep(1)  # Wait before checking the queue again

Verification

To verify that the fix worked, you can:

  • Send multiple rapid-fire messages and check if all messages are delivered to the agent session.
  • Check the gateway log for queue operations and message processing.
  • Test the retry mechanism by simulating message processing failures.

Extra Tips

  • Monitor the message queue size to prevent it from growing indefinitely.
  • Adjust the retry delay and maximum retries based on your specific use case.
  • Consider implementing a dead-letter queue for messages that cannot be processed after a certain number of retries.

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