openclaw - 💡(How to fix) Fix Feature Request: 多渠道 Session 同步 - 不同渠道的对话历史无法共享 [1 participants]

Fix Plan

To achieve synchronized conversation history across different channels, we can implement a unified session management system.

Step-by-Step Solution:

1. Introduce a Unique Identifier: Assign a unique identifier to each user, regardless of the channel they use to interact with the agent.
2. Modify Session Creation: Update the session creation logic to use the unique user identifier instead of channel-specific identifiers.
3. Implement Session Merging: Develop a mechanism to merge conversation histories from different channels into a single, unified history.

Example Code (Python):

import uuid

# Generate a unique user identifier
user_id = uuid.uuid4()

# Create a unified session
def create_session(user_id, channel):
    # Use the user_id as the primary identifier
    session_id = f"agent:main:{user_id}"
    # Initialize the session with the user's conversation history
    session = load_conversation_history(user_id)
    return session

# Load conversation history from different channels
def load_conversation_history(user_id):
    # Fetch history from all channels (e.g., webchat, telegram)
    histories = []
    for channel in get_channels():
        history = load_channel_history(user_id, channel)
        histories.extend(history)
    return histories

# Load channel-specific conversation history
def load_channel_history(user_id, channel):
    # Implement channel-specific history loading logic
    pass

# Get all channels for a user
def get_channels():
    # Return a list of channels (e.g., webchat, telegram)
    return ["webchat", "telegram"]

Verification

To verify that the fix worked, test the following scenarios:

• Create a conversation on one channel (e.g., webchat) and verify that the history is reflected on another channel (e.g., telegram).
• Merge conversation histories from different channels and verify that the unified history is accurate.

Extra Tips

• Ensure that the unique user identifier is properly stored and retrieved across different channels.
• Implement data consistency checks to prevent history duplication or inconsistencies.
• Consider using a distributed database or a message queue to handle conversation history synchronization across channels.