UNIFIED CHAT — talk to one or more AI models. mode "chat" (default): 1..N models answer independently in parallel. mode "consensus": ≥2 models answer, then refine after seeing each other. mode "roundtable": models answer sequentially, each building on the running transcript. Supports files, images, and continuation_id for multi-turn threads (you may switch modes on resume). Use model "auto" for automatic selection. IMPORTANT: use the "files" parameter to share code/file content instead of pasting into the prompt.

Check the status and progress of async jobs. Query specific jobs by continuation_id or list the 10 most recent jobs. Returns job status with start time and progress information.

Cancel a running async job by its continuation_id.

Terminates queued or running jobs with graceful cleanup. Preserves partial results when available.

DECIDE — ask a System One decision model (TypeSafe Jev) typed questions about a state and get calibrated answers, not text. Question types: "noul" (yes/no → probability 0..1), "choice" (pick one of 2–255 named options → choice, per-option probabilities, confidence), "score" (ordered rubric of 2–10 levels → weighted position, per-level probabilities, confidence). Batch independent questions over the same state into one call: they are judged in parallel and in isolation, so none sees another's answer; each extra question adds its own input tokens. Best for fast semantic judgments (classify, route, select, verify, rank). Ask one narrow, coherent judgment per question, with its full meaning in the question; split independently useful dimensions, but a bounded action choice or contextual interpretation is a valid single question. Do counting, arithmetic, and date comparison in code. confidence measures how concentrated the distribution is, not permission to act: take the top option to pick a best, and treat a noul near 0.5 as "yes and no equally likely". Text only, no explanations are returned. Limits: ~64k tokens per request, ~32k for state plus the longest question.