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Detects wasteful AI token usage and warns about verbose, repetitive context.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "token-saver" yet — see the docs or source repo.
Monitor this AI workflow context usage, detect oversized outputs, repetitive chat history, or noisy logs, and provide warning levels plus trimming suggestions.
Returns token-waste alerts, identifies the source, and suggests what to remove, compress, or ignore.
Analyze the debugging logs I send to the model, mark verbose and repeated sections, suppress low-value noise, and keep only what is needed for troubleshooting.
Outputs a reduced log context with reasons for each suppressed section.
Continuously detect context bloat in a multi-turn conversation, warn me when history becomes repetitive or costly, and suggest which key messages to retain.
Provides context-bloat alerts, risk levels, and a recommended keep-or-remove list for message history.
Cut AI API costs dramatically with token measurement, compression, caching, and pruning.
Monitor Claude usage live, predict limits, and control costly AI coding actions.
Query TokenSpy’s curated AI risks and trading signals for market intelligence.
Track LLM token usage, estimate costs, and monitor API requests via proxy.
Set hard token and spend caps for agent sessions with signed exhaustion alerts.
Secure, token-efficient MySQL access for AI agents with query safeguards.