`harness once` runs one bounded iteration (intake -> routing -> bounded turn
-> REPORT) then exits, so callers chain it without a daemon. The bounded
turn loops request -> tool calls -> results up to max_rounds; gate denials
feed back to the model and are counted instead of failing the turn.
--dry-run prints the plan (task, resolved model, tool bounds) and makes zero
LLM calls; --demo runs the [demo] issue ("tell me about yourself" through
LiteLLM -> GLM self-description as the REPORT), the MVP acceptance bar.
Distinct exit codes for config/usage, intake, and llm failures. Ships
harness.toml.example (scope query, tier map, allow-lists); real configs are
gitignored. Loop tests run end-to-end against a scripted fake OpenAI server:
demo turn, dry-run zero-call, tool round-trip, denial counting, round limit,
and error-class mapping.
💘 Generated with Crush
Assisted-by: Crush:glm-5.2
