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Updates the settings (model, mode, options) for an existing chat session and persists the changes to disk.

Purpose

This function is used to modify the configuration settings of an active chat session identified by session_id. It updates the session's settings dictionary, refreshes the 'updated_at' timestamp, and saves the changes to persistent storage. This is typically used when users change their chat preferences, switch AI models, or modify conversation modes during an active session.

Source Code

def update_session_settings(session_id, settings):
    """Update session settings (model, mode, options)"""
    with session_lock:
        if session_id in chat_sessions:
            chat_sessions[session_id]['settings'] = settings
            chat_sessions[session_id]['updated_at'] = datetime.now()
            # Persist to disk while holding lock
            save_session_to_disk(session_id)

Parameters

Parameter Details

session_id: A unique identifier (likely a string or UUID) that references a specific chat session in the chat_sessions dictionary. This must correspond to an existing session key.

settings: A dictionary containing session configuration parameters such as 'model' (AI model to use), 'mode' (conversation mode), and 'options' (additional settings). The exact structure depends on the application's session schema.

Return Value

This function returns None (implicitly). It performs side effects by modifying the global chat_sessions dictionary and persisting changes to disk. No value is returned to the caller.

Dependencies

• datetime
• threading

Required Imports

from datetime import datetime
from threading import Lock

Usage Example

from threading import Lock
from datetime import datetime

# Required global setup
session_lock = Lock()
chat_sessions = {}

def save_session_to_disk(session_id):
    # Implementation for saving to disk
    pass

# Initialize a session first
session_id = 'user-session-123'
chat_sessions[session_id] = {
    'settings': {'model': 'gpt-3.5', 'mode': 'chat'},
    'updated_at': datetime.now()
}

# Update session settings
new_settings = {
    'model': 'gpt-4',
    'mode': 'assistant',
    'options': {'temperature': 0.7, 'max_tokens': 2000}
}
update_session_settings(session_id, new_settings)

# Verify update
print(chat_sessions[session_id]['settings'])

Best Practices

• Always ensure the session_id exists in chat_sessions before calling this function to avoid KeyError
• The function uses a lock (session_lock) for thread safety - ensure all session operations use the same lock
• The settings parameter should match the expected schema for your application's session configuration
• This function performs disk I/O (save_session_to_disk) while holding a lock, which may impact performance under high concurrency
• Consider adding validation for the settings parameter to ensure it contains valid configuration values
• The function silently does nothing if session_id doesn't exist - consider adding error handling or logging
• Ensure save_session_to_disk is implemented and handles errors appropriately to prevent data loss

Tags

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