mocasus/paleo

Automatically detects long sessions, high token usage, or bulky context and enables the appropriate Paleo token-saving skills to optimize token consumption without manual intervention.

Enforces a hard token budget per task/response by tracking estimates, stopping before limits, and summarizing if exceeded. Helps when users specify a token cap or want to limit spending.

Condense prior conversation turns into a summary, merge near-duplicates, and keep recent messages verbatim to save context tokens without losing task state.

Compacts JSON and other structured data by removing whitespace, collapsing arrays, and shortening keys to reduce token usage in LLM outputs, without breaking parseability.

Switches the agent to a terse output mode, reducing token usage by ~50-70% while keeping code, commands, and technical terms exact. Use when you need brief replies or want to save costs.

Condenses long tool outputs, logs, diffs, or documents into concise summaries while preserving key details. Use when you need to save context tokens on bulky payloads.

Automatically trim, summarize, or drop stale content from the context window to save tokens while preserving task state. Use during long sessions, large file dumps, or before calling expensive models.