Ask Yevgeny (the local model) a single self-contained question and get the answer back immediately. No tools, no web access, one turn. Use for summarising, extracting or reformatting text you already have, classifying items, or drafting. For anything needing research, files or computation use delegate_start instead.

Hand a multi-step task to Yevgeny and get a job id back immediately. Yevgeny can search and read files, fetch web pages, write structured output, and run Python (including multi-hour background simulations). Returns at once - poll with delegate_status and collect with delegate_result. Give a thorough brief: state the goal, the sources or directories to use, and the exact output format you want.

Check how a delegated job is going without blocking: its state, how many steps it has taken, which tools it has called, any background processes it launched and whether they are still alive, and the tail of its log.

Collect the final report from a delegated job, plus a listing of every file it wrote to its scratch directory. Note that a finished job may still have background processes running - check delegate_status for those.

Stop a running delegated job. Aborts the agent loop. Background processes it launched keep running unless kill_children is set.

Check that Yevgeny is usable: Ollama reachable, which models are pulled, the Python interpreter it resolved, and recent jobs.