ContextGuard

Monitor LLM context window token usage by tracking real-time consumption and usage percentages. This prevents exceeding token limits by alerting you when sessions approach their maximum capacity and suggesting actions to control costs.

Reduce token count and manage LLM conversation costs by applying token optimization tips and visualizing usage on a cost dashboard. This approach provides actionable advice to minimize expenses while maintaining efficient context window utilization.

Compact conversation history to optimize AI assistant context when your session approaches its token limit. Smart compaction recommendations suggest summarizing older messages or starting a new session to avoid errors and save costs.

Yes, ContextGuard requires OpenClaw core integration to track token consumption. This integration accesses session data to provide real-time status, actionable insights, and accurate context monitoring for efficient conversation management.

Check your current LLM context usage status by typing the command `/context status`. This retrieves real-time tracking data on token consumption and usage percentage to help you manage conversation efficiency.