refactor(goal): persist state with domain events
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@@ -42,11 +42,11 @@ Time-based `/loop` or scheduled execution is a third policy and is not implement
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| `@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. |
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| `@deepseek-ai/dsh-tool-ralph` | `packages/workflow/tool-ralph/`, fixed workflow consumer | Registers `ralph({ objective, maxRounds? })`, validates the fresh structured provider and bounded `RalphRoundReport`, and returns `complete`, `blocked`, or `budget-limited`. |
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The detailed contracts live in the [goal-domain](2026-07-19-persisted-same-session-goal-domain.md), [model goal-tools](2026-07-19-model-facing-goal-tools.md), [goal-round driver](2026-07-19-same-session-goal-round-driver.md), [command registry](2026-07-19-plugin-command-registration.md), [human goal-command](2026-07-19-human-goal-command.md), and [Ralph workflow-tool](2026-07-19-fresh-agent-ralph-workflow-tool.md) Agent Notes.
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The detailed contracts live in the [goal-domain](2026-07-19-persisted-same-session-goal-domain.md), [goal-owned event](../architecture/2026-07-31-goal-owned-durable-events.md), [model goal-tools](2026-07-19-model-facing-goal-tools.md), [goal-round driver](2026-07-19-same-session-goal-round-driver.md), [command registry](2026-07-19-plugin-command-registration.md), [human goal-command](2026-07-19-human-goal-command.md), and [Ralph workflow-tool](2026-07-19-fresh-agent-ralph-workflow-tool.md) Agent Notes.
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### Durable goal state and live authority
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One session has at most one current goal. Every mutation commits through the durable `agent/inbox/spliced` insertion produced by `Agent.inject()`, carrying a full versioned snapshot or revisioned clear tombstone. Its queued context becomes model-visible only if later admitted, and discarding it does not roll back the goal. The session log is the only durable source of truth, so normal persistence, resume, and `SessionStore.fork()` carry the goal without a second database or an artificial cancellation record.
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One session has at most one current goal. Every mutation commits through a durable `goal/change` event carrying a full versioned snapshot or revisioned clear tombstone; inbox state does not participate. The session log is the only durable source of truth, so normal persistence, resume, and `SessionStore.fork()` carry the goal without a second database or an artificial cancellation record.
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Durable phases are only `active`, `paused`, `blocked`, and `complete`. A blocked goal carries a required `GoalBlockReason` with a stable lower-kebab-case `code` and a non-empty human-readable `message`; usage limits, round exhaustion, model failures, and policy rejection are reason codes rather than extra lifecycle phases. Separate activation is `armed` or `disarmed` and is never persisted. Creation and explicit resume arm a goal; stop transitions, session start, fork replay, driver replacement, and driver teardown leave it disarmed.
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@@ -58,7 +58,7 @@ Forked sessions inherit the durable goal prefix because that is the natural repl
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### Same-session continuation
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The goal-round driver owns at most one pending reservation per exact live agent. It admits a reservation only when the goal is active and armed, the agent is idle, no competing human work exists, pending mutation insertions have passed their durability checkpoint, the exact goal id/revision/round still matches, and downstream pre-step policy accepts it. Its `agent/pre-step` fence checks those facts both before and after downstream listeners, preventing an edit, pause, human message, or unload race from admitting obsolete work.
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The goal-round driver owns at most one pending reservation per exact live agent. It admits a reservation only when the goal is active and armed, the agent is idle, no competing human work exists, the latest mutation has passed its durability checkpoint, the exact goal id/revision/round still matches, and downstream pre-step policy accepts it. Its `agent/pre-step` fence checks those facts both before and after downstream listeners, preventing an edit, pause, human message, or unload race from admitting obsolete work.
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Only an admitted positive-round goal-sourced `user/message` charges a round. A stale reservation is rejected before a turn opens without consuming the cap. A concurrent goal revision wins over settlement from an older round.
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@@ -122,7 +122,7 @@ The six owning Agent Notes record unit, integration, process, snapshot, cancella
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- **Aggregate budgets** — `maxGoalRounds` and Ralph `maxRounds` are the only aggregate effort limits. Token, currency, elapsed-time, provider-usage, and per-round price admission policies are absent.
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- **No persistent autonomous runner** — same-session goal facts persist, but activation and scheduling are process-local and deliberately wait for human input after restore. Ralph runs are foreground and cannot resume after process loss. Background collection, restart recovery, and unattended resident execution are deferred.
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- **No time scheduler** — interval `/loop`, cron, proactive maintenance, and cloud or desktop scheduling are outside this decision.
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- **No generic loop journal or execution-world rewind** — session replay reconstructs model-visible goal history, not prior files, processes, environment, credentials, or external side effects. Ralph treats the current workspace as authority and carries no cross-run journal.
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- **No generic loop journal or execution-world rewind** — session replay reconstructs goal history, not prior files, processes, environment, credentials, or external side effects. Ralph treats the current workspace as authority and carries no cross-run journal.
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- **No goal reflector** — concern events, automatic no-progress heuristics, goal revision by an independent reflector, stuck-pattern detection, and `loop_split` are not implemented. Humans can edit, pause, clear, or resume the goal directly.
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- **Ralph policy remains narrow** — one round creates one fresh child; within-round fan-out, evaluator/worker role separation, dynamic provider/model selection, and structural recursive-Ralph tool denial need separate policy surfaces. Prompt guidance is not enforcement.
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- **Ralph does not retry a failed child** — an ordinary failure preserves the failed round and last good handoff, while fatal workflow infrastructure failures can end before that state is available. Retry count, backoff, and richer failure transport need separate policy and seam design.
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