Save the current AI session to TokenMizer's graph memory. Creates a checkpoint that can be resumed later with full context. Use this when: finishing a work session, before switching tasks, or when the conversation is getting long.

Get the resume context for a previous session. Returns a compact summary of what was done, decided, and what's pending. Inject this into the system prompt when starting a new session on the same project.

See the knowledge graph stats for a session: how many tasks, decisions, files, and errors are tracked.

Analyze a large file (CSV, Excel, PDF, JSON) and return a token-efficient summary. Instead of pasting thousands of rows into the chat, use this to get schema, statistics, and sample data in ~300-500 tokens.

Get token savings analytics — how many tokens were saved today/this week.

Reason over the session's decision history: why is something the current choice? Traces the supersession chain (old → new with trigger, reason, and evidence per hop) for decisions matching the query, and reports the currently active choice. Use when the user asks 'why did we pick X', 'what happened to Y', or 'what was the previous approach'.