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docs: replace vague provenance prose with recorded facts

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2026-08-09 15:35:02 +08:00
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.agents/notes/implemented/feature/2026-07-16-harness-level-loop.md
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@@ -36,7 +36,7 @@ Time-based `/loop` or scheduled execution is a third policy and is not implement
| Package | Repository category | Owned structures and verbs |
|---|---|---|
| `@deepseek-ai/dsh-goal` | `packages/goal/goal/`, domain service | Owns `GoalId`, compare-and-set `GoalRef`, `GoalSnapshot`, four-state `GoalPhase`, structured `GoalBlockReason`, process-local `GoalActivation`, replay folding, and `get`, `create`, `edit`, `pause`, `resume`, `complete`, `block`, `clear`, and `disarm` verbs. |
| `@deepseek-ai/dsh-tool-goal` | `packages/goal/tool-goal/`, model-facing consumer | Registers exclusive `get_goal`, `create_goal`, and `update_goal`; authenticates live turn provenance and narrows autonomous-round authority to completion or blocking reports with machine-routable reason codes. |
| `@deepseek-ai/dsh-tool-goal` | `packages/goal/tool-goal/`, model-facing consumer | Registers exclusive `get_goal`, `create_goal`, and `update_goal`; requires a direct human message in a live root-agent turn and narrows autonomous-round authority to completion or blocking reports with machine-routable reason codes. |
| `@deepseek-ai/dsh-goal-session` | `packages/goal/goal-session/`, continuation policy | Reserves, fences, admits, attributes, settles, cancels, and quiescently drains same-session goal rounds without importing the concrete loop. |
| `@deepseek-ai/dsh-commands` | `packages/interaction/commands/`, UI registry | Owns `CommandDefinition`, discovery, scoped registration, direct dispatch, `CommandResult`, and request cancellation for human-only commands. |
| `@deepseek-ai/dsh-command-goal` | `packages/goal/command-goal/`, human-command producer | Registers `/goal` status, creation, edit, pause, resume, and clear over the goal domain for TUI. |
@@ -68,7 +68,7 @@ Normal turn completion schedules another round only while the goal remains activ
The human UX follows the compact Codex shape in the [public OpenAI Codex TUI dispatcher at commit `678157a`](https://github.com/openai/codex/blob/678157acaa819d5510adfe359abb5d0392cfe461/codex-rs/tui/src/chatwidget/slash_dispatch.rs#L750-L805): `/goal` shows status, `/goal <objective>` creates, and `edit`, `pause`, `resume`, or `clear` perform direct lifecycle actions. The commit permalink keeps the researched grammar verifiable as Codex evolves. Status includes durable phase, admitted/capped rounds, and live armed/disarmed activation. Direct status and command output do not enter model history; accepted domain mutations remain reconstructable because the goal service records them.
The model receives only `get_goal`, `create_goal`, and `update_goal`. It may create a goal when a direct human request clearly asks for substantial multi-round work, and it may infer that intent in any language. It must not turn routine one-turn work into a goal. Direct-human provenance is enforced in code; semantic interpretation remains model judgment. An autonomous goal round may report `complete` or `blocked` for the exact current goal round but cannot edit, pause, resume, or replace the human objective.
The model receives only `get_goal`, `create_goal`, and `update_goal`. It may create a goal when a direct human request clearly asks for substantial multi-round work, and it may infer that intent in any language. It must not turn routine one-turn work into a goal. Code requires a direct human message in the current live root-agent turn; semantic interpretation remains model judgment. An autonomous goal round may report `complete` or `blocked` for the exact current goal round but cannot edit, pause, resume, or replace the human objective.
TUI mounts the shared command registry and complete goal stack by default and exposes `/goal` through one producer. ACP mounts the goal domain, model tools, and same-session driver but deliberately omits the human command plane. Every effective registered command is discoverable and invocable through every composed command adapter; a plugin incompatible with an application omits its command producer from that composition rather than relying on registry-level surface masks. The UI-less agent spine is opt-in so one-shot callers do not silently become multi-round operations. The headless CLI and JSON-RPC front doors do not consume the command plane; ordinary human text can still authorize model goal tools when that stack is composed.
@@ -111,7 +111,7 @@ The six owning Agent Notes record unit, integration, process, snapshot, cancella
- Goal-based execution ships without one overloaded “loop” object: same-session continuation and fresh-agent iteration have explicit, separately testable contracts.
- Durable goal history is replayable and forkable, while process-local activation prevents accidental work on resume.
- Humans receive a small Codex-shaped UX; models receive a compact provenance-checked tool surface; deployments can remove either independently.
- Humans receive a small Codex-shaped UX; models receive a compact tool set whose mutating calls require a direct human message in the current live root-agent turn; deployments can remove either independently.
- Ralph demonstrates a nontrivial fixed policy entirely as a plugin over existing workflow and subagent primitives.
- Round limits are generous by default but remain deployment-controlled. They bound iterations, not tokens, price, elapsed time, or external side effects.
- The original proposal's evaluator, budget, reflector, background-task, CLI, and generic loop-session architecture is intentionally not part of the implemented public surface.