openclaw - 💡(How to fix) Fix bug: Agent stacks multiple messages back-to-back, preventing human from steering the conversation [1 comments, 1 participants]

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openclaw/openclaw#62914Fetched 2026-04-09 08:00:47
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Root Cause

On messaging platforms (Telegram, etc.), each sent message triggers a notification and shifts the conversation forward. When an agent stacks 3+ messages without pausing for input:

  • The human loses the ability to steer — by the time they respond to message 1, the agent has already acted on messages 2 and 3
  • Combined with other failures (ignoring stop commands, execution surviving session resets), this creates a third vector where the human loses control
  • The effect is the same whether intentional or not: the human cannot direct the agent

This is especially problematic on mobile, where the human may be reading message 1 while messages 2 and 3 arrive and push the conversation past the point where redirection is useful.

RAW_BUFFERClick to expand / collapse

Severity: Medium / UX + Safety

What happened

During a session, the agent sent multiple consecutive messages (summary, explanation, analysis) back-to-back without waiting for the human to respond between them. This effectively locked the human out of the conversation — they couldn't redirect, correct, or stop the agent because they couldn't get a word in.

Example

The agent sent in rapid succession:

  1. A "here's where things stand" summary
  2. A Zoho notification explanation
  3. A bug report analysis

All delivered before the human had a chance to respond to any of them.

Why this matters

On messaging platforms (Telegram, etc.), each sent message triggers a notification and shifts the conversation forward. When an agent stacks 3+ messages without pausing for input:

  • The human loses the ability to steer — by the time they respond to message 1, the agent has already acted on messages 2 and 3
  • Combined with other failures (ignoring stop commands, execution surviving session resets), this creates a third vector where the human loses control
  • The effect is the same whether intentional or not: the human cannot direct the agent

This is especially problematic on mobile, where the human may be reading message 1 while messages 2 and 3 arrive and push the conversation past the point where redirection is useful.

Expected behavior

After sending a substantive message, the agent should wait for human acknowledgment before continuing to the next topic — especially when:

  • Switching topics
  • Delivering work product that needs review
  • The previous message contains decisions or action items

Environment

  • OpenClaw (latest, hosted)
  • Telegram channel
  • Model: claude-opus-4-6

Recommendation

Consider a runtime-level guard: after N consecutive agent messages without a human response (configurable, maybe 2), require a pause or at minimum flag it. The agent should also be prompted to wait for input after delivering substantive content.

Related: #62912 (execution not killed), #62913 (agent ignores stop instructions). Together these represent three distinct ways a human can lose control of their agent in a single session.

extent analysis

TL;DR

Implement a runtime-level guard to pause the agent after a configurable number of consecutive messages without a human response.

Guidance

  • Introduce a counter to track consecutive agent messages without a human response, and pause the agent when this counter reaches a configurable threshold (e.g., 2).
  • Modify the agent's logic to wait for human input after delivering substantive content, such as summaries, explanations, or analyses.
  • Consider adding a flag to indicate when the agent has exceeded the threshold, allowing for further review or intervention.
  • Review related issues (#62912 and #62913) to ensure that the proposed solution does not introduce new control loss vectors.

Example

consecutive_messages = 0
threshold = 2

def send_message(message):
    global consecutive_messages
    # Send the message
    consecutive_messages += 1
    if consecutive_messages >= threshold:
        # Pause the agent and wait for human input
        wait_for_input()

def wait_for_input():
    # Implement logic to wait for human input
    pass

def receive_human_response():
    global consecutive_messages
    consecutive_messages = 0
    # Reset the counter and resume the agent's activity

Notes

The proposed solution focuses on introducing a runtime-level guard to prevent the agent from sending multiple consecutive messages without waiting for human input. This approach may require adjustments to the agent's logic and configuration to ensure seamless integration with the existing system.

Recommendation

Apply a workaround by implementing the proposed runtime-level guard, as it directly addresses the issue of consecutive agent messages without human input, and allows for a configurable threshold to be set.

FAIL-SAFE

If the issue lacks enough information, a minimal TL;DR and 1-2 safe guidance points would be:

TL;DR

Implement a mechanism to pause the agent after a certain number of consecutive messages.

Guidance

  • Introduce a counter to track consecutive agent messages without a human response.
  • Review related issues to ensure that the proposed solution does not introduce new control loss vectors.

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FAQ

Expected behavior

After sending a substantive message, the agent should wait for human acknowledgment before continuing to the next topic — especially when:

  • Switching topics
  • Delivering work product that needs review
  • The previous message contains decisions or action items

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