Merge refreshed rfc/pty into feature/persistent-pty-sessions

# Conflicts:
#	docs/architecture.md
#	docs/capability-seams.md
#	docs/config-catalog.md
#	docs/cordis-catalog/services.md
#	docs/module-graph.md
#	docs/tool-catalog.md
#	examples/acp-agent/tests/acp.snapshot.ts
#	examples/headless-agent/tests/headless.snapshot.ts
#	examples/package.json
#	packages/README.md
#	packages/cordis/tool-cordis/src/api-catalog.ts
#	packages/core/tools/tests/gen-tool-catalog.spec.ts
#	pnpm-lock.yaml
#	pnpm-workspace.yaml
#	scripts/gen-tool-catalog.ts
#	scripts/type-equiv.manifest.json
#	website/.vitepress/config/api-sidebar.json

.agents/notes/implemented/feature/2026-06-18-compaction-capability-seam.md

@@ -8,7 +8,7 @@ A long-running agent conversation grows without bound. As the event log accumula
 
 The [session surface](../architecture/2026-06-18-session-surface.md) was built as the foundation for exactly this — an ordered projection over the event log with a `surfaceOp: { op: 'replace', start, end }` operation purpose-built to shadow a range of entries and insert a replacement, with `sourceEventSeqs` recording provenance so the decision replays deterministically. What remained was the plugin that *decides what to compact and produces the summary*.
 
-Two forces shape the design. First, compaction policy and reusable token measurement vary independently: measurement belongs to the LLM-family [`ctx.tokenMeter` service](../architecture/2026-07-15-replay-token-meter-service.md), while summarization can be a model call, a template, or a remote service. Second, `SurfaceEventType` is closed to five event types (`user/message`, `assistant/message`, `tool/result`, `context/message`, `steering/message`); only those may carry `surfaceOp`. A bespoke `compaction/*` event therefore **cannot** itself appear on the surface — the compiler rejects `surfaceOp` on it and the invariants plugin rejects it at runtime.
+Two forces shape the design. First, compaction policy and reusable token measurement vary independently: measurement belongs to the LLM-family [`ctx.tokenMeter` service](../architecture/2026-07-15-replay-token-meter-service.md), while summarization can be a model call, a template, or a remote service. Second, `SurfaceEventType` is closed to five event types (`user/message`, `assistant/message`, `tool/result`, `context/message`, `steering/message`); only those may carry `surfaceOp`. A bespoke `compaction/*` event therefore **cannot** itself appear on the surface — the compiler and Session's always-on append/seed boundary reject `surfaceOp` on it.
 
 ## Decision
 
@@ -18,7 +18,8 @@ Per the [capability-seams Agent Note](../architecture/2026-06-13-capability-seam
 
 1. **Interface** — `@deepseek-ai/dsh-compact`: an abstract `CompactService` owning the `ctx.compact` key, the `CompactionResult` vocabulary, and the `compact/*` session events. It declares `compactIfNeeded()` and `compactRegion()` as **abstract** — the contract states *what* compaction does, not *how*.
 2. **Implementation** — `@deepseek-ai/dsh-compact-basic`: a concrete `BasicCompactService` that consumes `ctx.tokenMeter` and owns the tail→head retention walk, summarization via `ctx.llm.stream()`, the surface replacement, the lock, post-step pressure, and canonical context-overflow recovery. `summarize()` is its sole subclass hook; pricing and replay stay with the meter.
-3. **Consumer** — deferred. A `/compact` tool and slash command will `inject: ['compact']` and call the contract; they are intentionally out of scope here so the seam settles first.
+3. **Model-free companion** — `@deepseek-ai/dsh-compact-tool-result-prune`: a concrete optional service that rewrites oversized current `tool/result` nodes before the backend selects a summary range. It is not a second compaction implementation and does not implement `CompactService`.
+4. **Consumer** — deferred. A `/compact` tool and slash command will `inject: ['compact']` and call the contract; they are intentionally out of scope here so the seam settles first.
 
 ### The contract depends on `dsh-session` and `dsh-llm` — a deliberate deviation
 
@@ -30,13 +31,13 @@ This is not a coupling smell — it is the contract's domain. The "only cordis"
 
 An earlier draft put the full algorithm (the retention walk, token-summing, text extraction) as concrete methods on the interface. That recouples the contract to one strategy: a backend that wants a different retention policy or event sequence would have to fight inherited concrete code. Making both core methods abstract puts every *how* decision in the backend and keeps the interface a statement of *what*. Token measurement is not a compaction hook at all; the singleton service lets multiple consumers share one per-session replay fold.
 
-`compactIfNeeded(agent, trigger, signal)` takes an explicit `'pressure' | 'context-overflow'` trigger and cancellation. It reads only the latest durable routed request; no header means no work, while any routed provider/model target uses the singleton estimator. `compactRegion(start, end, agent, signal?)` uses `agent.session` as its single session identity and keeps an optional signal for manual callers. The default summarizer resolves its target from explicit config, the latest logged routed target, then agent options, and records the provider/model pair after any `llm/stream` routing.
+`compactIfNeeded(agent, trigger, signal)` takes an explicit `'pressure' | 'context-overflow'` trigger and cancellation. It reads only the latest durable routed request; no header means no work, while any routed provider/model target uses the singleton estimator. `compactRegion(start, end, agent, signal?)` uses `agent.session` as its single session identity and keeps an optional signal for manual callers. The default summarizer resolves its target from explicit config, the latest logged routed target, then agent options, and records the provider/model pair after any `llm/stream` routing. It replays the routed request's prefix and appends the compaction directive as a trailing user message so the provider's warm KV cache is reused — see the [summary prefix-cache Agent Note](../bug-fix/2026-07-21-compaction-summary-prefix-cache-reuse.md). The call sets the provider-neutral `GenerateOptions.purpose` to `compaction`; adapters may map that purpose to model-hidden transport metadata, and the DeepSeek adapter sends `x-deepseek-harness-compact: 1`.
 
 ### Automatic pressure runs after successful durable step work
 
-Successful-call pressure cannot run at pre-step because final `agent/request` routing, provider output, tool results, buffered context, and steering do not exist there. Serial `agent/post-step(agent, turn, step, signal)` fires after those facts are durable and before `step/end`. `dsh-compact-basic` measures the canonical logged request through `ctx.tokenMeter`, so the next request sees any replacement without a speculative envelope override.
+Successful-call pressure cannot run at pre-step because final `agent/request` routing, provider output, tool results, buffered context, and steering do not exist there. Serial `agent/post-step(agent, turn, step, signal)` fires after those facts are durable and before `step/end`. `dsh-compact-basic` measures the canonical logged request through `ctx.tokenMeter`, so the next request sees any replacement without a speculative envelope override. Once pressure qualifies, optional `ctx.toolResultPrune` rewriting runs before summary selection; compact-basic remeasures the durable surface and skips summarization if pruning restores safe pressure.
 
-Canonical provider context overflow takes a separate path. The failed step closes, `agent/request-error` receives the original request error and consecutive retry count, and compact-basic forces one useful balanced reduction. It returns retry only if `session.surface.replaceGeneration` increases; the loop then opens a new numbered step and reconstructs its request from the durable log. No range, no replacement, recovery failure, cancellation, an exhausted cap, or an unrelated error preserves the original provider failure. The complete lifecycle decision is in the [after-call recovery Agent Note](../architecture/2026-07-10-after-call-compaction-pressure-and-overflow-recovery.md).
+Canonical provider context overflow takes a separate path. The failed step closes, `agent/request-error` receives the original request error and consecutive retry count, and compact-basic prunes before forcing one useful balanced reduction. It returns retry only if `session.surface.replaceGeneration` increases, including pruning-only progress when no summary range exists; the loop then opens a new numbered step and reconstructs its request from the durable log. No replacement, a recovery failure before any replacement, cancellation, an exhausted cap, or an unrelated error preserves the original provider failure. If pruning already advanced the generation before later summary work fails, recovery retries from that durable pruned surface unless cancellation or disposal wins. The complete lifecycle decision is in the [after-call recovery Agent Note](../architecture/2026-07-10-after-call-compaction-pressure-and-overflow-recovery.md).
 
 ```
 assistant/message → tool/result/context/steering
@@ -52,11 +53,11 @@ retry → next numbered step/start      ⟵ derives from the replacement surface
 
 Auto-compaction checks after **every successful** step, not once per turn. This is load-bearing for runaway-turn survival: a tool-heavy ReAct turn appends an `assistant/message` + a `tool/result` per step, so the surface grows within a turn. The post-step check can compact early closed tool pairs before continuation opens the next step, and provider-confirmed overflow remains the backstop when a request crosses the limit first.
 
-`compactIfNeeded` retains the smallest tail of whole surface units whose estimated size reaches `retainTokens` and compacts older nodes. A unit is a complete closed step or one no-step message. If the token cutoff lands inside a step, retention expands until the cut is tool-pairing balanced. Balance is checked on surface order, not log sequence, because replacement summaries have new sequence numbers at old surface positions. `dsh-compact` exports the before/after edge helpers; their per-session cache folds only appended surface-tail nodes while `replaceGeneration` is unchanged, does no event reads for log-only growth, and rebuilds current membership and balances after replacement. `compactRegion` rejects boundaries that split a tool call from its result. The in-flight turn receives no special retention.
+`compactIfNeeded` retains the smallest tail of whole surface units whose estimated size reaches the resolved retained-token budget and compacts older nodes. A unit is a complete closed step or one no-step message. If the token cutoff lands inside a step, retention expands until the cut is tool-pairing balanced. Balance is checked on surface order, not log sequence, because replacement summaries have new sequence numbers at old surface positions. `dsh-compact` exports the before/after edge helpers; their per-session cache folds only appended surface-tail nodes while `replaceGeneration` is unchanged, does no event reads for log-only growth, and rebuilds current membership and balances after replacement. `compactRegion` rejects boundaries that split a tool call from its result. The in-flight turn receives no special retention.
 
 A runaway turn thus compacts exactly like any other history: its early *closed* steps get summarized while its recent steps stay verbatim. When the only compactable content left is an un-splittable open tail step (its tool-calls have no results yet), compaction declines (`null`) and retries once that step closes.
 
-**Single-unit overflow is out of scope, by design.** If a single retained unit — one closed step, or a large free entry such as a pasted `user/message` — *alone* exceeds the budget, compaction cannot help and the next model call may go out over-budget. Bounding an individual unit's size is a separate concern (output truncation), handled elsewhere; compaction makes no promise about it, and the harness without such a mechanism can still break on a single oversized unit. This is named honestly rather than papered over.
+**Some single-unit overflow remains out of scope.** Summary range selection cannot split an indivisible unit. The optional pruner can repair a closed tool pair when removable text-bearing tool-result content is the bulk and the pruned remainder fits. Envelope-only pressure, an oversized indivisible non-tool node such as a pasted `user/message`, and a tool unit whose non-prunable remainder is still oversized remain outside compaction; bounding those units is a separate concern.
 
 ### Head-anchoring: one auto checkpoint, always at the head
 
@@ -64,7 +65,7 @@ Auto-compaction always starts at the surface head, merging the prior checkpoint
 
 ### Approximate convergence invariant
 
-`resolveConfig` supplies usable defaults: threshold ratio `0.8`, retained tail `floor(contextWindow × 0.16)`, empty summarization provider/model overrides, `maxTokens: 8192`, `compactionRetries: 1`, `maxOverflowRetries: 1`, and `auto: true`. Optional top-level `thresholdRatio` and `retainTokens` override the policy for the token meter's single context window; retention must remain below the resulting threshold. Convergence remains dynamic because provider output caps can be spent on hidden or surfaced reasoning tokens and summary size is unpredictable. If pressure remains over threshold, `compactIfNeeded()` re-compacts the head checkpoint up to the configured retry count, but each committed summary must be smaller than what it shadows. Overflow bypasses threshold and retained-tail policy for one maximal balanced head reduction, leaving the newest indivisible unit.
+`resolveConfig` supplies usable defaults: threshold ratio `0.8`, retained-tail ratio `0.16`, empty summarization provider/model overrides, `maxTokens: 8192`, `compactionRetries: 1`, `maxOverflowRetries: 1`, and `auto: true`. Optional exact provider/model policies partially override the top-level defaults; pressure scales ratios against capacity from the route-owning LLM adapter, while `retainTokens` can replace ratio retention. Retention must remain below the resulting threshold. Convergence remains dynamic because provider output caps can be spent on hidden or surfaced reasoning tokens and summary size is unpredictable. If pressure remains over threshold, `compactIfNeeded()` re-compacts the head checkpoint up to the configured retry count, but each committed summary must be smaller than what it shadows. Overflow needs no capacity metadata and bypasses threshold and retained-tail policy for one maximal balanced head reduction, leaving the newest indivisible unit. The ownership split is specified by the [routed model context and compaction policy Agent Note](../architecture/2026-07-20-routed-model-context-and-compaction-policy.md).
 
 ### Surface replacement: `compact/*` events are log-only; one `user/message` carries the summary
 
@@ -92,10 +93,12 @@ The `compact/start … compact/end` bracket is justified, in order of what now d
 1. **Crash-detectable orphan + provenance** (primary). Summarization is a slow model call persisted *after* `compact/start`. A crash mid-summarization leaves a `compact/start` with no matching `compact/end` — a detectable orphan. Releasing the lock last (rather than first) converts the crash window from *silent corruption* into that detectable orphan.
 2. **Prevents concurrent compaction.** `compactRegion` refuses to start if the current turn holds an unmatched `compact/start`. (The loop is single-threaded across either awaited automatic seam, so this is also a re-entry tripwire — a thrown "already in progress" signals a real bug.)
 
+The lock excludes another compaction, not unrelated log-only facts. The basic backend snapshots the token meter's surface nodes after `compact/start` and compares them again after asynchronous summarization; any surface mutation rejects before replacement, while a title or other log-only append leaves the selected span valid.
+
 Two failure paths, both documented:
 
-- **Crash** (the loop dies mid-summarization): a dangling `compact/start`, no closer. Because `compact/*` are **log-only**, the orphan is **inert** — the surface replacement never landed, so the full, uncompacted history derives correctly. Generic turn-repair (`interruptedTurnClosers`) closes the turn with a synthetic `turn/end`; the orphan sits *before* that `turn/end`, so the turn-scoped in-progress check never sees it and a crash cannot wedge future compaction.
-- **Recoverable** (summarization throws but the loop survives): the backend appends `compact/end` with its **`error`** field set and leaves the surface untouched. Post-step pressure warns and continues; overflow recovery delegates so the original provider error remains authoritative.
+- **Crash** (the loop dies mid-summarization): a dangling `compact/start`, no closer. Because `compact/*` are **log-only**, the orphan is **inert** — no summary replacement lands. The derived surface remains the durable surface present at `compact/start`: full history when pruning made no replacement, or the already-pruned history when it did. Generic turn-repair (`interruptedTurnClosers`) closes the turn with a synthetic `turn/end`; the orphan sits *before* that `turn/end`, so the turn-scoped in-progress check never sees it and a crash cannot wedge future compaction.
+- **Recoverable** (summarization throws but the loop survives): the backend appends `compact/end` with its **`error`** field set and lands no summary replacement. Post-step pressure warns and continues from the latest durable surface — full history if no replacement preceded the attempt, or the pruned surface if pruning already landed. Overflow recovery delegates only before any replacement; generation progress from earlier pruning authorizes a retry from that durable surface unless cancellation or disposal wins.
 
 `compact/end` keeps its `error?` field (mirroring `tool/result`'s self-contained error — one event tells success from failure without correlating a sibling). There is no separate `compact/error` event.
 
@@ -105,21 +108,22 @@ Two failure paths, both documented:
 
 - **The full algorithm as concrete interface methods** — rejected because it recouples the contract to one retention strategy. Both core methods are abstract; reusable measurement is a separate LLM-family service and `summarize()` is basic's sole hook.
 - **Compaction on `agent/request` or provisional `agent/pre-step` inputs** — rejected because neither proves the final durable request and both couple generic lifecycle to compaction-specific envelope data. Post-step replay plus canonical overflow recovery covers both successful and rejected calls.
+- **A `compact` boolean or untyped request metadata map** — rejected because multiple auxiliary call kinds would become mutually exclusive flags, while an open bag would discard compiler-checked vocabulary. One typed `purpose` discriminant extends with additional call kinds without adding another `GenerateOptions` field.
 - **A separate `compact/error` event** — rejected: `compact/end` keeps an `error?` field, mirroring `tool/result`'s self-contained error — one event tells success from failure without correlating a sibling.
 - **Teaching core turn-repair about `compact/*`** — rejected: the log-only orphan is inert, and a core module patched for every future `xxx/start … xxx/end` plugin pair is exactly the coupling the capability-seam architecture exists to avoid.
 
 ## Consequences
 
-- **Packages**: `packages/compact/compact` supplies the interface and `compact-basic` supplies the backend. `packages/llm/token-meter` owns replay-aware measurement independently. The consumer tier is deferred.
+- **Packages**: `packages/compact/compact` supplies the interface, `compact-basic` supplies the backend, and `compact-tool-result-prune` supplies optional deterministic rewriting. `packages/llm/token-meter` owns replay-aware measurement independently. The consumer tier is deferred.
 - **Automatic seams**: `agent/post-step` (`@mode serial`) handles successful-call pressure and `agent/request-error` (`@mode waterfall`) handles final request failures after the failed step closes. Generic `agent/pre-step` remains a four-argument checkpoint with no compaction-only prompt/prefix payload.
 - **`SessionEventMap`** gains `compact/start` / `compact/summary` / `compact/end` by declaration merging (merge-extensible); `SurfaceEventType` is **not** touched. These are session events, not cordis `Events`, so the event-taxonomy gate needs no entry.
-- **`dsh-compact`** owns `toolPairingBalancedBefore(session, seq)` and `toolPairingBalancedAfter(session, seq)`, the cached surface-edge checks that `compactRegion` and `compactIfNeeded` use to avoid splitting a tool-call/result pair. The cache validates current membership by seq and answers both edges from one per-cut balance sequence; stale or missing seqs and orphan results reject. `dsh-session` continues to own the surface `replace` operation, ordered event sequences, and rewrite generation.
-- **`dsh-invariants`** drops its `surface replace: start must be <= end` assertion: a head-anchored compaction lands a high-seq replacement entry at an older range's *position*, so `start > end` numerically is normal and valid (the range is positional, validated by the surface's `indexOf` checks that remain). The turn-enclosure invariant is reused unchanged.
-- **Wiring**: `examples/repl-agent/cordis.yml` loads zero-config `dsh-token-meter` before `dsh-compact-basic`; the service-wide window and compact defaults make the pair usable without repeated numeric policy.
+- **`dsh-compact`** owns `toolPairingBalancedBefore(session, seq)` and `toolPairingBalancedAfter(session, seq)`, the cached surface-edge checks that `compactRegion` and `compactIfNeeded` use to avoid splitting a tool-call/result pair. The cache validates current membership by seq and answers both edges from one per-cut balance sequence; stale or missing seqs and orphan results reject.
+- **`dsh-session`** validates positional replacement, complete provenance, and content-only single-node `tool/result` rewrites through its one surface manager. Its invariant companion treats fresh appended tool results as executions that require an open step and pending call; validated replacements remain turn-enclosed rewrites.
+- **Wiring**: `examples/tui-agent/cordis.yml` loads zero-config `dsh-token-meter`, `dsh-compact-tool-result-prune`, then `dsh-compact-basic`; service-wide defaults make the composition usable without repeated numeric policy.
 
 ## Testing
 
-- **Unit:** Real Loader and invariant plugins cover whole-unit retention, convergence failure, both `compact/end` outcomes, head anchoring, open-tail refusal, inert crash orphans, forced below-threshold overflow, generation proof, caps, and original-error preservation.
+- **Unit:** Real Loader and invariant plugins cover whole-unit retention, pruning configuration and replay, rich-block ordering, metadata preservation, convergence, both `compact/end` outcomes, open-tail refusal, pruning-only and summarized overflow recovery, generation proof, caps, and original-error preservation.
 - **Loop:** Tests pin post-step after durable tool results and before `step/end`, actual `agent/request` routing, closed failed steps, fresh retry numbering, and complete thrown/in-band overflow → compaction → reconstructed retry composition.
 - **With-key e2e:** A real model and bash session with lowered limits triggers compaction, records a complete `compact/start…end` pair, shrinks the surface, and finishes the task.
 - **Snapshot gap:** Runaway-turn compaction cannot yet replay because the summarization call records no `assistant/chunk` events or `sessionId`; interleaved summarization-call replay remains follow-up work.

.agents/notes/implemented/feature/2026-06-22-acp-subagent-backend.md

@@ -20,7 +20,11 @@ The client advertises NO optional capabilities (no `fs`, no `terminal`): the chi
 
 ### No start-time capabilities
 
-The provider's `capabilities` are all `false`. An out-of-process child cannot honor the parent's `maxDepth` (it has no access to `parent.options.subagentDepth`) or `toolFilter` (it owns its own tool registry), and the first cut does not implement `outputSchema`. The service rejects a request needing any of them before `start` runs. The backend injects only `subagents` (not `ctx.agents`) and ignores `request.parent`.
+The provider's `capabilities` are all `false`. An out-of-process child cannot honor the parent's `maxDepth` (it has no access to `parent.options.subagentDepth`) or `toolFilter` (it owns its own tool registry), and the first cut does not implement `outputSchema`. The service rejects a request needing any of them before `start` runs. The backend injects only `subagents` (not `ctx.agents`); the ONE thing it reads off `request.parent` is the session header's cwd (see the workspace resolution below) — no conversation context, depth, or tool state crosses the process boundary.
+
+### Workspace cwd resolution
+
+The child's working directory is an explicit resolution, never the harness process cwd: the deployment `cwd` override when configured (made absolute against the launch directory and validated at load), else the parent session header's cwd (validated at start), and a loud rejection before anything spawns when neither exists. One ACP server process serves sessions from many workspaces, so `process.cwd()` cannot stand in for a session's workspace — the old implicit fallback ran children in the server's launch directory. A candidate must be an absolute path naming a directory the harness can ENTER (`X_OK` — `statSync().isDirectory()` alone accepts a mode-600 directory that spawn would fail with EACCES), and the same resolved path becomes both the subprocess cwd and the ACP `session/new` workspace.
 
 ### StopReason mapping
 
@@ -33,6 +37,7 @@ The child is a separate process, so it inherits an environment. Credential-shape
 ## Testing
 
 - **Keyless unit/integration:** A scripted ACP subprocess exercises real stdio for prompt/output flow, every stop-reason mapping, signal and disposal cancellation (including pre-abort, pre-session race, and torn-pipe cases), both permission policies, ignored non-message updates, missing-command cleanup, provider reload, and namespace exports.
+- **Keyless Loader composition:** A test-only cordis.yml boots the stdio app through the real Loader with the backend's `cwd` omitted; a scripted model delegates once and the scripted child proves it ran in — and was announced — the parent session's workspace (the cwd-inheritance branch end to end).
 - **With-key e2e:** The backend spawns the real ACP example; its model answers `PONG`, writes `proof.txt`, and the parent verifies the file.
 - **Snapshot gap:** Each ACP child is a separate process with its own replay session, unlike in-process per-session replay. Deterministic mock-server coverage exists, while `TODO(acp-subagent-replay)` tracks parent replay against a replaying child.
 

.agents/notes/implemented/feature/2026-06-25-ask-user-question.md

@@ -20,7 +20,7 @@ Providers return `{ answers: [{ id, selected, custom? }] }`. `selected` is alway
 
 ## UI mappings
 
-`dsh-stdio-demo`'s in-package readline module renders each question, shows each option's `description` on the next line, supports comma/space-separated numeric choices for `multi_select`, accepts free-form custom answers, and rejects pending questions on abort, provider disposal, or stdin EOF. A batched request is asked in order and resolved as one answer object. The stdio provider serializes simultaneous requests with an internal queue so only one prompt owns stdin at a time.
+`dsh-tui` renders each question as a keyboard overlay, shows option descriptions, supports single- and multi-select choices plus free-form custom answers, and rejects pending questions on abort, provider disposal, or terminal shutdown. Batched and simultaneous requests are queued so one overlay owns keyboard focus at a time.
 
 `dsh-acp` provides the same seam for ACP sessions. It resolves the calling `Agent` through `ownedRecord`, requiring the forward session-map record at `agent.session.id` to own that exact agent object, and calls ACP `unstable_createElicitation` with a session-scoped form for each question. Single-select options become a `choice` string enum; `multi_select` options become a `choice` array enum; optionless questions use a required `custom` text field. If the client returns both `choice` and non-empty `custom`, the custom answer wins. ACP `decline`/`cancel`, a missing answer, a missing session, and a client without elicitation support all become structured `UserInteractionError`s.
 
@@ -42,8 +42,8 @@ ACP elicitation is currently marked unstable in the SDK. The fallback is still s
 
 The feature gives the model a powerful pause primitive, so prompt guidance matters. The tool description tells the model to ask concise questions and use options when possible. Product policy can later wrap `tools/execute` to restrict when the tool is allowed, but the loop should not special-case it.
 
-`dsh-user-interaction` and `dsh-tool-ask-user` both live in `packages/ui` because they form one product-facing human-interaction capability. `agent-core` does not load either the tool or a provider. `stdio-agent` opts into the seam, its readline provider, and the model-facing tool. `acp-agent` keeps only the `userInteraction` seam/provider by default: ACP elicitation support is still client-dependent, so an ACP leaf must opt into the model-facing tool deliberately once its client can complete elicitation requests.
+`dsh-user-interaction` and `dsh-tool-ask-user` both live in `packages/ui` because they form one product-facing human-interaction capability. `agent-core` does not load either the tool or a provider. `dsh-tui-demo` opts into the seam, TUI provider, and model-facing tool. `acp-agent` keeps only the `userInteraction` seam/provider by default: ACP elicitation support is still client-dependent, so an ACP leaf must opt into the model-facing tool deliberately once its client can complete elicitation requests.
 
 ## Testing
 
-Unit coverage pins provider registration/disposal, duplicate-provider rejection, abort-before-provider, empty-question rejection, structured tool errors through `ctx.tools.execute()`, batched answers, multi-select answers, custom answers, and the model schema including the removal of `value`, `recommended`, `allow_custom`, and `desc`. `dsh-stdio-demo` tests cover option descriptions, queued requests, EOF/abort cleanup, optionless free-form input, invalid option reprompts, duplicate multi-select numbers, and batched question flows. ACP bridge tests drive a real in-memory ACP connection with the real `ask_user_question` tool and verify selected-option, custom-overrides-choice, multi-select, and optionless free-form elicitation paths continue the agent loop.
+Unit coverage pins provider registration/disposal, duplicate-provider rejection, abort-before-provider, empty-question rejection, structured tool errors through `ctx.tools.execute()`, batched answers, multi-select answers, custom answers, and the model schema including the removal of `value`, `recommended`, `allow_custom`, and `desc`. TUI tests cover option descriptions, queued requests, shutdown/abort cleanup, optionless free-form input, invalid choices, duplicate multi-select selections, and batched question flows. ACP bridge tests drive a real in-memory ACP connection with the real `ask_user_question` tool and verify selected-option, custom-overrides-choice, multi-select, and optionless free-form elicitation paths continue the agent loop.

.agents/notes/implemented/feature/2026-06-30-interception-seams.md

@@ -14,7 +14,7 @@ The canonical surface separates transformable policy, around-dispatch control, a
 
 **Agent events** (`dsh-agent`):
 - `agent/session-start(agent, source)` — emit, once before turn 1, carrying a `SessionStartSource` (`startup` for a fresh/forked create, `resume` for a reloaded persisted session; `clear`/`compact` reserved). A pure notification — it CANNOT block startup (a deliberate gap: a bridge logs/injects, it does not gate startup). A listener seeds context via `agent.inject()`.
-- `agent/prompt-submit(agent, content, source, next) → PromptDecision` — waterfall, fired per drained queued message inside the open turn, before the `user/message` append. `allow` (optionally rewriting the prompt `content` or attaching separately sourced `additionalContexts[]`) or `block` (dropping the prompt; the loop appends a durable `prompt/blocked` in its place — see the dispatch note below).
+- `agent/prompt-submit(agent, content, source, signal, next) → PromptDecision` — waterfall, fired for the turn's single claimed queued message before the `user/message` append. The explicit turn signal is placed before the final `next`; `allow` optionally rewrites the prompt `content` or attaches separately sourced `additionalContexts[]`, while `block` appends a durable `prompt/blocked` and rejects that zero-step turn.
 
 **`agent/turn-continuation`** receives and returns a `ContinuationDecision`. A `{action:'continue', reason?}` may carry model-facing content and source recorded as next-step steering in the same turn — the typed twin of the `/goal` step-end-steer pattern. It is not a `context/message`, so its type does not offer durable context metadata.
 
@@ -24,17 +24,17 @@ Every call follows `tools/pre-execute` → guards → `tools/execute` → dispat
 
 - **`tools/pre-execute`** is the extensible waterfall gate. Its `PreToolDecision` allows, denies, or asks. Deny skips `tools/execute` and core dispatch. Ask resolves through the optional approval seam: only `allowed-once` continues through guards and dispatch; rejection, cancellation, an unavailable channel, a missing approval service, or an agent-less call becomes a normalized denial. Every outcome still reaches post-policy and final observers.
 - **`ctx.tools.guard()`** installs synchronous scope-aware policy after the whole pre-execute waterfall. A guard may deny or abstain, never force-allow, so listener ordering cannot resurrect an operation that a final invariant forbids.
-- **`tools/execute`** is the around-dispatch waterfall for timeout, retry, and metrics plugins. A wrapper delegates to core dispatch with `next()`, may add, replace, or remove only `exec.signal` before doing so, and receives the already-normalized result of a thrown or unknown tool; returning its own valid result short-circuits dispatch.
+- **`tools/execute`** is the around-dispatch waterfall for timeout, retry, and metrics plugins. A wrapper delegates to core dispatch with `next()`, may replace and restore the required `exec.signal` before doing so but cannot remove it, and receives the already-normalized result of a thrown or unknown tool; returning its own valid result short-circuits dispatch.
 - **`tools/post-execute`** is the inspect/transform waterfall. Its `PostToolDecision` accepts, blocks with feedback, optionally replaces content, or attaches `additionalContexts`. The returned decision is the supported transform channel; after the waterfall, the registry materializes the complete outcome once before final observation.
 - **`tools/result`** is the synchronous contained notification after every transform, lossless-JSON materialization, and the outer error boundary. It receives the same frozen execution identity and an immutable snapshot of the authoritative result; observer failures are contained per listener and cannot change or reject `ToolRegistry.execute()`'s returned outcome.
 
 Core dispatch and the tool body sit inside normalization boundaries, so tool, listener, malformed-result, non-JSON result, and identity-shape failures resolve as JSON-safe `isError` results rather than escaping the turn. A post-execute listener can therefore inspect a thrown tool, and a final observer sees exactly what the caller receives and the session log can persist.
 
-**`TurnEndReason.rejected`** (`dsh-session`): a turn whose entire prompt batch was blocked by `prompt-submit`.
+**`TurnEndReason.rejected`** (`dsh-session`): a zero-step turn whose claimed prompt was blocked by `prompt-submit`.
 
 ### Three load-bearing loop decisions
 
-1. **Open the turn before prompt policy.** A fully blocked batch becomes a zero-step `rejected` turn, preserving enclosure and giving ACP a durable terminal event. Every veto also records `prompt/blocked` with the original prompt and reason, so mixed batches retain blocked inputs. Every allowed `additionalContexts` entry is injected into the open turn.
+1. **Open the turn before prompt policy.** A blocked prompt becomes a zero-step `rejected` turn, preserving enclosure and giving ACP a durable terminal event. The veto records `prompt/blocked` with the original prompt and reason, while every allowed `additionalContexts` entry is injected into the open turn. Each claimed ordinary-send item is the sole message in its turn under the [one-send-one-turn simplification](../simplification/2026-07-17-one-send-one-turn.md); a pre-start drop creates no turn.
 
 2. **Post-tool `additionalContexts` and asynchronous injections enter the active-batch FIFO and append when that batch settles.** `content`/`feedback` shape the result `execute()` returns, but each context is a separate `context/message`, and a single step or composite tool can produce many. Appending context immediately would interleave `result(c1) → context → result(c2)` or place nested context before its outer result, breaking tool-call/result adjacency. `ToolRunContext.deferContext()` therefore collects nested-dispatch context through failures, `execute()` surfaces the ordered array on `ToolExecutionResult`, and the loop accepts it into the same FIFO as `agent.inject()` calls made during execution. The FIFO appends after every recorded result when the batch settles, including before an interrupted turn closes. An accepted outer call preserves deferred contexts before decision contexts; an outer block discards deferred contexts and exposes only contexts explicitly supplied by the blocking decision.
 

.agents/notes/implemented/feature/2026-07-06-explicit-tool-order.md

@@ -21,7 +21,7 @@ The system-prompt assembly owns the canonical model-facing tool order, exactly w
 
 Scope is deliberately narrow: this fixes the REGISTRATION-ORDER race, not plugin behavior. A `system-prompt/assemble` listener may still add, remove, or rearrange tools — same as it may edit sections after their sort — and owns the determinism of what it emits; the waterfall contract already demands deterministic listeners (the reconstructability invariant would catch a listener that diverges between build and replay).
 
-Config plumbing follows the `persona` precedent, and `toolOrder` sits beside it: the app configs (`dsh-stdio-demo`, `dsh-acp-demo`) accept the key and forward it through `dsh-agent-spine-demo` (whose schema is the intersection of the owners' schemas) to the `SystemPrompt` child. One schemastery footnote is load-bearing: a schemastery array defaults to `[]`, but an omitted `toolOrder` must stay ABSENT (= lexicographic) rather than become an explicitly-configured empty list (invalid — it lacks the rest entry), so every schema on the chain forces the default to `undefined`.
+Config plumbing follows the `persona` precedent, and `toolOrder` sits beside it: the TUI, Headless, and ACP app configs accept the key and forward it through `dsh-agent-spine-demo` (whose schema is the intersection of the owners' schemas) to the `SystemPrompt` child. One schemastery footnote is load-bearing: a schemastery array defaults to `[]`, but an omitted `toolOrder` must stay ABSENT (= lexicographic) rather than become an explicitly-configured empty list (invalid — it lacks the rest entry), so every schema on the chain forces the default to `undefined`.
 
 ## Alternatives considered
 

.agents/notes/implemented/feature/2026-07-07-plan-mode.md

@@ -0,0 +1,192 @@
+# Agent Note: Plan mode — a logged per-agent session mode
+
+Status: implemented
+
+> **Superseded vocabulary (2026-07-22):** [Collapse named session modes into plan mode](../simplification/2026-07-22-plan-specific-collaboration-state.md) replaces this note's generic `dsh-mode`, `mode/set`, definition map, and `ctx.modes` design with the current plan-specific `dsh-plan-mode`, `plan/mode`, `{ section }`, and `ctx.planMode` contract. The review, boundary, reconstructability, and sandbox-orthogonality decisions below remain in force; generic API examples are retained as the historical design this simplification removed.
+
+## Problem
+
+Before this change, the harness had no durable way to put one agent into a distinct working stance. Plan mode needs the agent to explore and design under planning guidance, produce a reviewable artifact, cross an explicit approval boundary, and restore that state across resume and fork without making the model-visible request diverge from the session log.
+
+The extension seams already supplied the surrounding pieces: [`system-prompt/assemble`](../../../../packages/core/system-prompt/README.md) shapes guidance per step and the shipped request is logged in `request/header*` events ([reconstructability](../../implemented/architecture/2026-07-05-reconstructable-requests.md)); [`ctx.userInteraction`](../../../../packages/ui/user-interaction/README.md) carries the approval question and corrective feedback ([ask-user precedent](../../implemented/feature/2026-06-25-ask-user-question.md)); `SessionEventMap` carries durable per-agent facts ([the `todo/write` precedent](../../implemented/feature/2026-06-29-todo-write-tool.md)). The missing piece was the named session state that joins those seams while leaving execution enforcement on the independent sandbox and approval axes.
+
+## Decision
+
+The deliverable is **plan mode**. It ships as the first **session mode** — a named, logged, per-agent COLLABORATION state: a mode definition is deployment-configured guidance the model sees, while the mode IN FORCE for an agent is session state folded from its log. Modes are one axis and the enforcement knobs — the sandbox mode, the approval policy — are others: they never read or write each other, matching how Codex keeps its Plan/Default collaboration presets separate from its sandbox and approval settings. One new product package, `@deepseek-ai/dsh-mode` at `packages/mode/mode/`, owns the event vocabulary, a thin `ctx.modes` service, and every listener; the loop does not change. `plan` is the only required definition — the mode-shaped vocabulary exists so a second mode never renames durable event types, not because more modes ship now.
+
+The state is one `SessionEventMap` member: **`mode/set`**, a log-only, non-surface event carrying `{ mode: string }` with whole-value-replace semantics, plus a pure `foldMode(events)` that returns the mode in force — the last `mode/set`, or the default mode when none exists. Because [the log is the fact channel](../../implemented/architecture/2026-06-30-event-domain-semantics.md), resume, fork, and compaction restore the mode with no extra machinery, and UIs read flips off `session/event`. The default mode is the absence of mode guidance — no section, filtering, or gate. Loading `dsh-mode` still contributes one stable `exit_plan_mode` schema in every mode; that fixed cost avoids tool-catalog churn at mode boundaries.
+
+A mode's whole surface is soft: a `mode:policy` prompt section renders the active definition's guidance, while `exit_plan_mode` remains in the registered tool catalog across every mode and rejects at execution unless the folded mode is `plan`. A transition therefore changes only the system-prompt portion of the attributable `request/header` on the next step, keeping [reconstructability](../../implemented/architecture/2026-07-05-reconstructable-requests.md) green without changing native schemas or Code Mode's SDK. A mode deliberately enforces NOTHING: no execution gate, no tool filtering, no reach into the sandbox or approval knobs — a user who wants a hard read-only floor while planning switches the sandbox-mode option beside the mode picker, in either order, and neither axis disturbs the other. There is likewise NO per-mode tool allow/deny list — which tools a mode admits is an effects question, parked until tool definitions declare their effects ([Deferred](#deferred)); a mode's restraint is its section's guidance plus the exit review.
+
+The model leaves plan mode through the **`exit_plan_mode`** tool: its single argument is the plan text, which makes the plan reconstructable from the log, and the tool conducts the review itself through the user-interaction seam — a question whose supporting detail carries the exact plan, with options and a free-text channel, not a bare permission — so an approval flips the logged mode back to the default, and a rejection becomes the corrective error carrying the user's feedback verbatim, which keeps the model planning with direction. A user flips the mode from any surface through `ctx.modes.set()`; the flip is applied at the next turn boundary (session events are turn-enclosed) and narrated to the model once, only when the model-visible state actually changed.
+
+## High-level API
+
+### A plan-mode session end to end
+
+The user switches the session to plan mode through the ACP mode picker or `/plan [message]` in a terminal front door, and from the next step every request ships the configured plan guidance section. When the optional message is present, that same command submits it into the affected step. The `exit_plan_mode` schema was already present in default and remains byte-identical.
+
+The model explores and designs; the section's guidance is what defers changes into the plan. The sandbox and approval knobs keep whatever the user set them to — a deployment (or user) that wants kernel-enforced read-only during planning pairs plan mode with the independent sandbox-mode option.
+
+When ready, the model calls `exit_plan_mode` with the plan markdown as its argument; the review question carries that exact markdown as supporting detail — approve, or keep planning, with free-text feedback welcome. A native call also renders the plan card; a Code Mode nested dispatch has no native card, so the review detail is the common presentation surface.
+
+On approve, the tool flips the logged mode back to the default: the next step drops the plan section while retaining the same tool catalog (the changed header is in the log), and execution tracking from there is already `todo_write`'s job. On keep-planning, the model receives a corrective error carrying the user's feedback text, revises, and re-presents.
+
+### Deployment configuration
+
+Mode definitions are validated plugin Config — per repo convention, changeable from `cordis.yml` with no code edit. The deployment must provide the complete `plan` section; the package embeds no model instructions. Additional modes use the same config map:
+
+```yaml
+- id: mode
+  name: '@deepseek-ai/dsh-mode'
+  config:
+    modes:
+      plan:
+        section: |
+          You are in plan mode: explore and design, then present the
+          plan for approval through exit_plan_mode.
+```
+
+A definition is exactly `{ section }` — there is deliberately no per-mode tool list and no enforcement field ([FAQ](#faq)). Definition names use the lowercase slash-command subset `/^[a-z][a-z0-9_-]*$/u`; `default` is reserved (the absence of policy) and rejected as a key. An invalid name or unknown definition key — a `tools` list or an `access` cap included — fails validation at load; an unknown mode name fails loudly at `set()` time.
+
+### In the terminal
+
+Terminal front doors get one entry command per configured definition through the plugin-owned command registry (`@deepseek-ai/dsh-commands`): `dsh-mode` registers `/plan [message]` for the required definition and, for example, `/review [message]` when `review` is configured. Each command records its named switch; a non-empty optional message is trimmed and passed to `agent.steer()`, which places it in a running agent's next step or delegates to `send()` for a new idle turn. The command name and result stay out of model history, while that explicit message is logged as an ordinary user message under the selected mode. The synthetic `default` entry contributes no command. The exit review prompts right in the terminal with no new machinery: it is an ordinary user-interaction question, so it rides the composed user-interaction provider's prompt queue that `ask_user_question` already uses.
+
+### Over ACP
+
+The mode PICKER is this package's surface: `session/new`/`session/load` advertise `availableModes`/`currentModeId` from `ctx.modes` (consumed opportunistically via `ctx.get`, the `tool-bash` pattern), `session/set_mode` calls `set()` and notifies `current_mode_update` optimistically (the pending mode IS the user's selection; the logged `mode/set` follows at the boundary), and a `session/event` listener re-notifies on each logged flip that differs from the last sent. The exit tool reuses the user-interaction ACP provider's elicitation flow; its ACP mapping carries the review `detail` because Code Mode nested dispatches have no native plan card, while native calls may additionally stream the plan card. Individual environment knobs — sandbox mode, approval policy, the model — are NOT modes and belong to `session/set_config_option` ([FAQ](#faq)).
+
+### For agent creators
+
+`ctx.modes` is the whole programmatic surface: `list()` returns the configured definitions plus the synthetic `default` entry (for pickers), `get(agent)` returns the folded mode plus any pending intent, and `set(agent, mode)` validates the name against `list()`'s vocabulary and records the boundary-applied intent — `default` is always a valid target, so exiting a mode is the same call as entering one. There is no creation-time mode option — a caller selects through `set()` before the first turn, which flushes identically. There is no live `agent/*` mirror to subscribe: UIs read `mode/set` off `session/event`, per [event-domain semantics](../../implemented/architecture/2026-06-30-event-domain-semantics.md).
+
+## Detailed design
+
+### Vocabulary
+
+```text
+'mode/set': { mode: string }        // SessionEventMap merge in dsh-mode: log-only, non-surface,
+                                    // whole-value replace — the last one in the log wins
+DEFAULT_MODE = 'default'            // the fold of a log with no mode/set; reserved, not definable
+```
+
+The payload carries no reason/provenance field: a tool-driven flip sits next to its `tool/call` in the log and a user flip sits at its turn boundary, so the cause is log-adjacent — the same "narrative fields are derivable" call the [reconstructability Agent Note](../architecture/2026-07-05-reconstructable-requests.md) made for request-header facts (the in-flight `env/state` event carries a `source` precisely because its drift variant has NO log-adjacent cause — a contrast, not a conflict). Mode names are config-declared vocabulary, not opaque cross-boundary ids, so they stay bare strings (no `Branded<B>`).
+
+### Config and the resolve step
+
+```text
+interface ModeDefinition { section: string }                    // prompt text — a mode's whole vocabulary
+interface ModeConfig { modes: Record<string, ModeDefinition> }  // plan is required and owns its complete prompt
+resolveConfig(config): ResolvedModes                            // explicit resolve (the dsh-bash template), fail-loud:
+                                                                // missing plan, 'default', blank sections, and unknown keys rejected
+```
+
+The one-field shape is deliberate minimalism, not the final vocabulary: a per-tool policy dimension returns as effects metadata on tool definitions ([Deferred](#deferred)), read here rather than re-declared per mode — the config shape must not need a migration when it arrives.
+
+### The fold, the service, and the flush
+
+`foldMode(events)` is pure (exported for reconstructors and tests) and folds the append-only session log directly; `mode/set` is not a surface node, so compaction cannot shadow it. `set(agent, mode)` validates the name against `list()`'s vocabulary — the configured definitions plus the reserved `default`, which is rejected as a config KEY but always accepted as a `set()` TARGET — drops a no-op (target equals pending, else current), and otherwise records `{ mode, narrate }` in a `WeakMap` pending-intent slot. It cannot append immediately because [every session event is turn-enclosed](../../implemented/architecture/2026-06-15-turn-enclosure-invariant.md) and an idle agent has no open turn.
+
+Contained listeners on the loop's interception seams ([defensive patterns](../../../../docs/defensive-patterns.md): a policy plugin must not block a prompt or a turn) flush the pending intent as a `mode/set` append — `agent/prompt-submit` fires inside the just-opened turn before its first assembly, and `agent/turn-continuation` fires after an ordinary step closes before its successor. Automatic request recovery bypasses continuation, so a prepended `agent/request-error` wrapper delegates through the composed policy and asynchronous backoff, then flushes only a `retry` decision before the waterfall returns to the loop; an effect-scoped lifetime guard suppresses a captured wrapper that resumes after plugin disposal. All three paths sit outside tool execution and log publication (post-commit `session/event` observers are observe-only), so every step runs under the mode its assembly folded. When the flushed mode differs from the fold at the last `request/header`, the flush appends one coalesced `context/message` notice in the same frame ("The user switched this session to plan mode."); the user-visible narration cases are enumerated in the [FAQ](#faq).
+
+### The soft layer: a computed section and a stable exit schema
+
+The registered prompt section reads the calling agent's mode from `AssembleContext.agent` and resolves to the active definition's guidance or `''`. The loop renders per step and logs a complete `request/header` whenever the rendered header changes, so entering or leaving a mode is attributable. The section is static per mode and the plan itself stays in the conversation as messages and tool arguments; re-injecting separate plan state on every request ([Prior art](#prior-art)'s compaction-survival hack) is unnecessary prompt churn.
+
+The guidance contribution is `{ name: 'mode:policy', order: 50, text: context => … }`: after persona (0), before tool guidance (100–199), and empty for default or agent-less assembly. `exit_plan_mode` is registered once through `ctx.tools` and never filtered, so native schemas and Code Mode's generated SDK remain byte-identical across mode switches; a deployment without `dsh-mode` lacks that one binding. There is NO `tools/pre-execute` listener: a mode gates nothing, while the exit tool's own folded-mode check rejects out-of-plan calls. The exit review is a question with options and feedback, not a permission, so it lives inside the tool's execution over the user-interaction seam.
+
+### `exit_plan_mode`
+
+`defineTool` has one required `plan: string` argument. Native execution records it in the ordinary `tool/call`; Code Mode records the outer `run_code` source before execution and appends the normalized nested arguments in `tool/code-dispatch` after the dispatch settles. `execute` rejects an agent-less call (the [`todo_write` precedent](../../implemented/feature/2026-06-29-todo-write-tool.md)), rejects any folded mode other than `plan`, rejects an empty or heading-less plan before asking the reviewer, then conducts one single-select `ctx.userInteraction.ask()` review whose `detail` is the exact plan — approve or keep planning — with free-text feedback open. Only exactly one `Approve` selection consents; every other shape fails closed. Approval records a SILENT boundary-applied intent to switch to `default` and returns a short confirmation. The deployment guidance tells the model to make this the only and final tool call in its response; if a model violates that rule, the runtime still holds plan guidance for the rest of the batch, and the next step logs a changed header with the guidance removed and tool schemas unchanged. Every non-approval outcome returns a corrective `isError` and leaves the mode in `plan`.
+
+Its [render intent](../../implemented/architecture/2026-07-02-tool-render-intent-union.md), decided up front: `presentCall` is a `generic` card titled by the plan's first heading with the plan markdown as content, plus a `generic` result card. Native front doors show that card before the question; Code Mode nested dispatches do not produce native call-card events, so the user-interaction `detail` independently carries the same plan on every provider. The seam is consumed opportunistically (`ctx.get('userInteraction')`), so `dsh-mode` composes without it and degrades to the manual exit pinned in the [FAQ](#faq).
+
+### Dependencies and surfaces
+
+`dsh-mode` is one product package, not a capability-seam trio ([Alternatives considered](#alternatives-considered)): it peers on `cordis`, `dsh-session`, `dsh-agent`, `dsh-tools`, and `dsh-system-prompt`, injects `['tools', 'systemPrompt']`, and reads `ctx.userInteraction` opportunistically at execute time (a type-only peer edge on `dsh-user-interaction`); its only UI-facing edges are optional type-only peers (`dsh-commands` for the per-definition entry commands). Beyond the `ctx.modes` call surface everything participates through listeners, so dropping the package gracefully removes modes rather than breaking a consumer. Terminal front doors need no mode-specific code: `dsh-mode` itself registers each definition's command on the command registry when one is composed (an optional type-only peer edge on `dsh-commands`), and the exit review rides the composed user-interaction provider's prompt queue. The ACP wire mapping is pinned in [High-level API](#over-acp); package-wise the bridge takes a type-only peer edge on `dsh-mode` and reads the service opportunistically, so a bridge without the plugin behaves exactly as today.
+
+### The recorded scenario and the harness op
+
+`input.json` gains one step op, `{ "op": "setMode", "modeId": "plan" }`, driven through the real `session/set_mode` RPC, and a scripted `elicitationAnswers` queue. The `plan-mode` scenario enters plan before turn 1, runs a real `cat` under the independently configured sandbox, presents a plan through `exit_plan_mode`, receives scripted approval, then edits on the next step. The first `request/header` contains the full stable toolset plus the configured mode section; the post-approval changed header retains byte-identical tool schemas and removes only that section. `plan-mode-reject` pins corrective free-text feedback and the unchanged plan state. Both recordings replay host commands under Seatbelt or bwrap; backend-specific sandbox denial stays at the bash-tool unit tier.
+
+### The mechanical tail
+
+No new cordis event is declared (`mode/set` rides `session/event`; the listeners attach to existing waterfalls), so the events catalog is untouched. Regenerated in the same change: the persistence log catalog (`mode/set`), the services catalog (`ctx.modes`, JSDoc-complete), the config catalog (`ModeConfig`), the tool catalog (`exit_plan_mode`), the producer/consumer map and doc graphs, and the module graph. Repo plumbing: a root tsconfig `paths` entry, the new group's README plus a [packages map](../../../../packages/README.md) row (a new top-level group is the deliberate act that table names), an `architecture.md` capability-services row for `ctx.modes` (budget-checked), and the cookbook row upgrade.
+
+## Deferred
+
+Each behind its own decision: subagent mode inheritance via a forwarded creation-time mode option (removed as unconsumed; it returns with its first consumer), preset modes beyond `plan` (read-only, accept-edits), the idle-record primitive if pending-intent loss proves real, and — the big one — **effects self-declaration on tool definitions**: a per-tool read-only/mutating classification (the MCP `ToolAnnotations` vocabulary — `readOnlyHint`/`destructiveHint` — is the natural template, with its untrusted-hint caveat implying trust tiers). That item is what a general per-mode tool policy waits on: this Agent Note first shipped an interim per-mode name allowlist and removed it before release — a hand-maintained list mislabels the effects question, must track every tool a deployment composes, and rots silently as tools arrive — so mode-scoped tool availability (and per-tool `ask` policies) returns as a CONSUMER of declared effects, which is its restart trigger.
+
+The canonical [`examples/acp-agent`](../../../../examples/acp-agent/) composition mounts the mode and question-tool plugins on the full ACP coding server; plan mode is an additive session feature, not a second server profile. Its snapshot suite pins the plan-shaped initial header, a real read, scripted approval, stable tool schemas across the pure-removal header delta, a subsequent edit, rejection feedback, and the keyless mode wire. A self-skipping real-API smoke boots that same leaf, verifies the file before approving the review, and verifies the approved implementation afterward.
+
+## FAQ
+
+Behavioral clarifications of the chosen design; rejected designs live in [Alternatives considered](#alternatives-considered), accepted costs in [Consequences](#consequences).
+
+**When does a user's mode flip take effect?** At the next pre-assembly boundary: `agent/prompt-submit` covers the first step, `agent/turn-continuation` covers a normal successor, and the post-composed `agent/request-error` retry decision covers automatic recovery. A mode selected while a request or retry backoff is in flight therefore shapes the following model request. This is the "applies to subsequent requests" semantics every product in [Prior art](#prior-art) ships.
+
+**When is a mode change narrated to the model?** Only when the model-visible state actually changed: the flush compares the flushed mode against the fold at the last `request/header` and narrates once, coalesced. A net-zero flip sequence (plan then back, all before the boundary) narrates nothing; a tool-driven exit narrates through its own tool result instead; a mode set before the first turn narrates nothing — the section is the state statement. The principle is the in-flight env-state proposal's boundary narration: a silently flipped prompt surface leaves the transcript arguing from a state the header no longer has.
+
+**What happens on resume when the config no longer defines the folded mode?** A folded mode name the current config no longer defines behaves as the default mode without a notice, so the session neither gains a substitute restriction nor becomes unusable. `set()`'s loud validation covers only the write path; a resumed log answers to the config it finds.
+
+**What if a deployment composes no user-interaction provider?** Plan mode stays safe but manual: `ctx.userInteraction.ask()` throws `NO_PROVIDER` (and an absent seam never resolves at all), the tool returns the corrective `isError`, and the exit degrades to the user toggling modes — never to an unreviewed exit. The mode section tells the model to present its plan through `exit_plan_mode` — and to ask the user in prose if that fails — so it keeps presenting instead of stalling.
+
+**Why is there no per-mode tool allowlist?** Because "which tools are safe in a planning mode" is a property of each TOOL (its effects), not of the mode — a per-mode name list re-declares that fact in the wrong home, must enumerate every tool the deployment composes (MCP servers included), and rots silently as tools arrive. Until tool definitions declare their effects ([Deferred](#deferred), where the removed interim allowlist is archived with its restart trigger), a mode restrains by its section and the exit review; the exposure is an accepted cost ([Consequences](#consequences)).
+
+**Do subagents inherit the parent's mode?** A fork child inherits for free — the parent's `mode/set` is inside the seeded prefix. A spawn child starts in the default mode; a creation-time mode option and automatic forwarding by subagent providers are deferred together ([Deferred](#deferred)).
+
+**How does plan mode relate to the sandbox's read-only mode?** They are separate axes that never touch: the mode is the collaboration stance (a `mode/set` fold), the sandbox mode is an enforcement knob (a `bash/sandbox-mode` fold, [the sandbox Agent Note](2026-07-06-sandbox.md)) — plan mode neither reads nor caps it, exactly as Codex keeps its Plan/Default presets separate from its sandbox and approval settings. A user who wants kernel-enforced read-only while planning sets both: flip the mode picker AND the sandbox-mode option, in either order; each switch changes only its own fold, so there is no interference and no restore step to crash out of. The log attributes each axis to its own event — the stance to `mode/set`, the confinement to `bash/sandbox-mode`.
+
+**Why aren't sandbox mode, approval policy, or the model themselves modes?** They are individual environment knobs and belong to ACP's `session/set_config_option`; the division this proposal pins is picker-to-modes / knobs-to-config-options, recorded in [the feature matrix](../../../../packages/ui/acp/acp-feature-support.md) now that both this stack's picker and the sandbox stack's config options are landed. A mode definition may later bundle env facts (applied through `ctx.envState` where mounted) so a Codex-style preset stays a single mode; fusing approval policy into the mode CONCEPT itself is rejected in [Alternatives considered](#alternatives-considered).
+
+## Prior art
+
+A survey of shipped plan modes (Claude Code, Cursor, Copilot, OpenCode, Gemini CLI, Cline, Windsurf, Codex) shows the same five parts everywhere — the low-authority tool policy, plan artifact, approval moment, execution-state switch, and durable state that [Problem](#problem) builds on.
+
+The mode surface is a LIST everywhere it is advertised, never a boolean: Claude Code's picker offers `plan` beside `acceptEdits` (plus an auto-mode entry into plan), and Codex exposes `Plan` beside `Default` as collaboration-mode presets while keeping approval and sandbox settings separate. This is the surface [the ACP feature matrix](../../../../packages/ui/acp/acp-feature-support.md) records as the gap, and what sizes the vocabulary as named modes rather than a flag.
+
+The deployment-owned example prompt borrows the instrumental behavior, not product-specific mechanics. From Codex: remain in plan mode despite imperative implementation language, explore before asking, distinguish repository facts from user-owned choices, and make the plan decision-complete across APIs, data flow, failures, tests, and assumptions. From Claude Code: prohibit mutations and commits, prefer existing patterns, use questions only for requirements or approach choices, and finish through the exit tool rather than a prose approval request. It deliberately omits Codex protocol tags and Claude's plan-file or phased-subagent machinery because those belong to their runtimes, not this plugin contract.
+
+The ecosystems that leave modes to convention show the failure shapes to avoid. Pi-style mode extensions fight over a last-wins global active-tool list, enforce "read-only" by prompt text alone (a hallucinated call to a still-registered tool executes), and re-inject plan state into every request to survive compaction. The contested global list and the re-injection hack close structurally here — per-agent folded state, and a log-only non-surface event compaction cannot shadow. The prompt-only shape, by contrast, is deliberately KEPT — it is what Codex ships for Plan, and it is why the mode axis composes freely with the enforcement axes: a deployment that wants a hard floor pairs the mode with the independent sandbox knob instead of the mode carrying its own enforcement ([FAQ](#faq)).
+
+## Alternatives considered
+
+**Permission modes as the concept (the Claude Code shape).** One `permissionMode` fusing approval policy and tool policy. Here those are two axes with two owners: the approval seam owns "who answers this question", modes own "what surface does the model get". ACP models them as related but distinct (a mode may select an approval policy later — a mode definition gains a field, not a merger).
+
+**A capability-seam trio.** Interface/implementation/consumer fits a swappable backend; a mode's variable parts are config values, not implementations. Splitting would manufacture an empty implementation package — the same "don't split preemptively" call the approval seam and [`todo/`](../../implemented/feature/2026-06-29-todo-write-tool.md) made.
+
+**Loop-owned mode state.** Rejected on the standing rule (plugins, not loop changes): every hook the feature needs — assemble, pre-execute, turn boundaries, session events — is already a documented seam, so a loop edit would buy nothing but coupling.
+
+**A per-mode tool allowlist with a deny-by-default gate (the first shipped shape).** Removed before release. A hand-maintained name list re-declares a per-TOOL fact (its effects) per MODE: it must enumerate every tool the deployment composes — MCP servers and future registrations included — and it rots silently as tools arrive (a new read-only tool is blocked until someone edits every mode; the author burden lands on whoever knows the mode, not whoever knows the tool). It also over-promises: the list looks like a security boundary while the real boundary for anything non-shell does not exist. The general dimension is parked on effects self-declaration ([Deferred](#deferred)); the consequence — plan mode is guidance-only, the very Pi hole the gate once closed — is accepted deliberately, priced in [Consequences](#consequences).
+
+**An `access` sandbox cap on the mode (the second shipped shape).** Also removed before release. `ModeDefinition.access` clamped the bash seam's per-call sandbox resolution to a mode-declared ceiling (a `bash/resolve-mode` waterfall + ladder-min listener, with guards withholding bash under an unconfinable executor and denying escalation mid-mode). The state stayed orthogonal — the clamp never wrote the sandbox knob — but the AXES did not: entering plan changed what the sandbox enforced, fusing the collaboration stance with an enforcement level and contradicting the Codex-shaped separation the review converged on (Plan/Default presets never touch sandbox or approval settings). One user-visible symptom of the fusion: flipping the sandbox option to `workspace-write` while planning silently did nothing. The cap, the waterfall, and the mode→bash dependency edge were removed together; a deployment gets kernel-enforced read-only planning by pairing the mode with the independent sandbox-mode option, and a mode-triggered PRESET (a mode definition bundling suggested knob values, applied as ordinary knob switches) can return later without re-fusing the axes.
+
+**Runtime-only mode (UI- or bridge-local, unlogged).** Resume and fork would silently drop the mode, and the header deltas a mode causes would have no attributable cause in the log. Logged state is what makes the mode auditable and restorable for free.
+
+**Mode flips as `context/message` via `agent.inject()`.** Reuses an existing turn-enclosure path, but puts policy state into the model transcript — the model does not need to be told twice (the section already tells it), and a log-only fact should not occupy surface.
+
+**A plan-file store (`.plans/` directory).** A second durable home for what the log already carries replayably; a deployment wanting files can add a tool that writes them. One home per fact.
+
+**A boolean `planMode` instead of named modes.** Too narrow for the surface the repo already tracks: ACP advertises a mode LIST and the shipped pickers fill it with more than plan ([Prior art](#prior-art)); generalizing later would rename durable event vocabulary. The string-shaped mechanism costs nothing extra now; only `plan` ships as a definition.
+
+**A tool-policy-stack service (the Pi-critique remedy).** A dedicated composition service for tool policies is premature: this implementation performs no mode-scoped tool filtering, and future effect policies can compose through the existing guarded execution seams. Formalize only when declared tool effects create a concrete composition requirement.
+
+**Exit approval through the approval seam (a `{ kind: 'ask' }` gate decision).** The original sketch, natural while the approval seam was the only asking machinery in flight — but it seats a review in a permission chair: the seam's outcome vocabulary is deliberately closed and one-shot (`allowed-once`/`rejected`), so a rejection carries no feedback and an approval can never grow options (approve-and-accept-edits). The exit moment is a question, not a permission — the user-interaction seam gives it options plus the free-text channel, and the rejection feedback reaches the model verbatim. The approval seam remains the right seat for genuine permission gates (the sandbox escalation), and the registry's `ask` vocabulary stays available to deployments that want one there.
+
+**Exit by prose or steering instead of a tool.** No artifact and no approval moment — the tool's argument IS the reviewable plan, and its review question is what gives the human a structured yes/no attached to the exact transition.
+
+## Consequences
+
+What holds now, pinned by the unit, protocol, snapshot, and real-API tiers:
+
+- The mode in force is a pure function of the session log: resume and fork restore it with no extra machinery, and a `mode/set` is followed by a matching complete `request/header` on the next changed step.
+- A user-driven flip narrates exactly once at the next boundary and a net-zero flip sequence narrates nothing; a tool-driven exit narrates only through its tool result.
+- In default mode the plugin contributes no mode section but does contribute the stable `exit_plan_mode` schema; a deployment without `dsh-mode` lacks that binding.
+- Native tool schemas and Code Mode's SDK stay byte-identical across default, plan, and custom-mode transitions; only the configured guidance section changes.
+- Plan mode changes nothing on the enforcement axes: the toolset, the sandbox mode, escalation, and the approval policy behave identically in plan and default — pairing the mode with the independent sandbox/approval knobs is how a deployment hardens planning.
+- Mode definitions are changeable from `cordis.yml` with no code edit; the complete plan instructions are required there, while missing plan config, malformed definitions, and unknown keys fail at load and unknown mode names fail at `set()`.
+- `exit_plan_mode` is always advertised, rejects outside plan, drops only plan guidance after approval, and carries keep-planning feedback in a corrective `isError`; ACP mode updates and each surface's user-interaction provider carry the human side.
+- The docs tail shipped with the landing: READMEs, regenerated catalogs (persistence log, config, cordis services, tools), the packages map and architecture rows, and the cookbook row.
+
+The accepted costs: a pending user flip set while idle is lost if the process dies before the next turn (the UI re-applies; the idle-record primitive is the escape hatch if this bites in practice). A mode transition changes the system prompt at order 50, so the cache path from that point onward changes, but the tool schemas and Code Mode SDK no longer churn. **A mode restrains by guidance alone**: a model that ignores the section CAN mutate during plan — the review moment, the session log, and independent sandbox, approval, and filesystem policies are the containment surface. Hardening planning means setting those knobs, not widening the mode; the removed enforcement shapes and their effects-declaration restart trigger remain in [Alternatives considered](#alternatives-considered) and [Deferred](#deferred). The ACP mode surface carries the picker while sandbox, approval, and model selectors remain config options under the division pinned in the [FAQ](#faq) and [feature matrix](../../../../packages/ui/acp/acp-feature-support.md). If ACP removes session modes in favor of config options, the picker mapping can migrate without changing the logged mode state or model surface.

.agents/notes/implemented/feature/2026-07-07-session-prefix.md

@@ -14,7 +14,7 @@ The obvious third option — let a plugin edit the request's `messages` on the w
 
 Three properties carry the design:
 
-- **Request-only, header-logged.** `deriveMessages()` never returns the prefix; its one durable record is `EpochHeader.messagePrefix` on the instance's anchoring `request/header` snapshot — the channel the reconstructable-requests Agent Note already owns for the request's non-history half, so no new session event exists. The dev invariant ([dsh-invariants](../../../../packages/support/invariants/src/index.ts)) recomputes `messagePrefix + boundary derivation` against every loop-built request; an unlogged prefix cannot reach the wire.
+- **Request-only, header-logged.** `deriveMessages()` never returns the prefix; its one durable record is `EpochHeader.messagePrefix` on the instance's anchoring `request/header` snapshot — the channel the reconstructable-requests Agent Note already owns for the request's non-history half, so no new session event exists. The [`dsh-agent-loop/invariant`](../../../../packages/core/agent-loop/src/invariant.ts) companion recomputes `messagePrefix + boundary derivation` against every loop-built request; an unlogged prefix cannot reach the wire when that contribution is enabled.
 - **Frozen per instance.** Reuse is structural, not disciplined: the cached product cannot change mid-session, so the provider's prompt cache holds by construction and the prefix extends the cacheable region at zero marginal cost per step. A process restart or `ctx.agents.resume()` is a new instance: it recomposes, and any drift lands attributably on the `'resume'` header snapshot. This is the routing rule the seam creates: session-frozen openers ride the prefix; content that changes mid-session rides the append-only history channels (`agent.inject()` or tool/prompt-submit `additionalContexts` — [the interception-seams Agent Note](2026-06-30-interception-seams.md)), each a durable `context/message` paid once and prefix-cached thereafter.
 - **Exact in the durable request envelope.** Composition precedes the instance's first `agent/pre-step` and request boundary. The first routed request logs the current prefix on its header, so post-step token pressure reads the exact prefix together with the actual prompt, tools, and routed model; no compaction-only parameter is carried through the generic pre-step seam. A composition interrupted by cancel/dispose is discarded, never cached: an abort-aware listener's degraded fallback cannot leak into later requests, and the next turn recomposes under a live signal.
 

.agents/notes/implemented/feature/2026-07-09-bash-backed-grep-glob-discovery.md

@@ -155,7 +155,7 @@ If the complete logical result fits under the inline cap, no formatted spill art
 - The tools execute through `ctx.bash.resolve(request)` → `ctx.bash.run(spec)`, forward `exec.signal`, never call `ctx.bash.start()`, and never expose a bash task id. The bash request workdir comes from `exec.agent?.session.header.cwd` when available; the resolved `spec.workdir` drives execution and relative-path display.
 - The tools request `stdoutMaxBytes: rawOutputMaxBytes` from the bash seam, parse only untruncated stdout within that cap, and treat over-cap or still-truncated raw output as a clear search failure; raw `rg` output is never exposed to the model.
 - Oversized complete formatted results are saved through `ctx.spillStore.saveText()` when available while inline results stay bounded; spill failure, a missing backend, or a missing owner preserves the inline result and reports the unsaved remainder — never an `isError`.
-- The package README, the generated config catalog, and exported JSDoc document the Config fields and `SEARCH_*` codes; the repl-agent example ships the conditional tool plugin (the acp-agent tree waits on the snapshot re-record above); the fs group README records the `rg` availability and co-located bash/filesystem deployment requirements.
+- The package README, the generated config catalog, and exported JSDoc document the Config fields and `SEARCH_*` codes; the tui-agent example ships the conditional tool plugin (the acp-agent tree waits on the snapshot re-record above); the fs group README records the `rg` availability and co-located bash/filesystem deployment requirements.
 
 ## Risks
 

.agents/notes/implemented/feature/2026-07-10-agent-session-identity-and-log-location.md

@@ -31,7 +31,7 @@ The model-facing bash package owns a `ctx.bashEnv` registry. A contributor decla
 
 The registry rebuilds a trusted overlay for every foreground and background bash `ToolExecution`:
 
-- `DSH_HOME` is always the absolute configured Harness home. The standalone [`@deepseek-ai/dsh-home`](../../../../packages/util/home/README.md) utility owns its precedence: explicit `dshHome`, then ambient `$DSH_HOME`, then `~/.dsh`.
+- `DSH_HOME` is always the absolute configured Harness home. The standalone [`@deepseek-ai/dsh-paths`](../../../../packages/util/paths/README.md) utility owns its precedence: explicit `dshHome`, then ambient `$DSH_HOME`, then `~/.dsh`.
 - `DSH_SHELL=1` is always present and identifies a model bash child managed by DeepSeek Harness.
 - `DSH_SESSION_ID` is present when the execution has an agent and equals `agent.session.header.id`.
 - The built-in persistence translator contributes `DSH_SESSION_JSONL` only when `ctx.sessionPersistence.locate(header)` returns `kind: 'jsonl'`.
@@ -54,7 +54,7 @@ A fresh session receives its id before the first turn, so its first bash call ca
 
 Resume reuses the loaded header and therefore the same id and location. Fork and spawn create new session ids and locations. Parent and child calls resolve from their own `ToolExecution.agent`; each command receives an immutable snapshot even when calls overlap. A persistence service replacement affects later collections because the translator queries `ctx.get('sessionPersistence')` at execution time; the registry itself is effect-scoped and HMR-safe.
 
-`dshHome` is session-independent deployment context. Agent-core resolves one value through `@deepseek-ai/dsh-home` and routes it to both tool-bash and local skill discovery; standalone consumers call the same resolver. If top-level `dshHome` and `skills.local.dshHome` are both supplied and resolve differently, composition fails instead of exposing contradictory homes. Persistence may change independently without freezing its facts into the session prefix.
+`dshHome` is session-independent deployment context. Agent-core resolves one value through `@deepseek-ai/dsh-paths` and routes it to both tool-bash and local skill discovery; standalone consumers call the same resolver. If top-level `dshHome` and `skills.local.dshHome` are both supplied and resolve differently, composition fails instead of exposing contradictory homes. Persistence may change independently without freezing its facts into the session prefix.
 
 ## Testing
 

.agents/notes/implemented/feature/2026-07-12-subagent-persona-tool-filter-and-depth.md

@@ -49,9 +49,11 @@ The global registry remains live. A deny-only filter admits a later global name
 
 The depth limit bounds recursive delegation independently of tool visibility. A top-level agent has depth zero; an in-process child has its parent's validated depth plus one. `maxDepth` is an absolute non-negative safe integer, and a start rejects before child ownership begins when the derived child depth is greater than the cap.
 
-Every public entry validates the domain rather than relying on one model-facing configuration path. Negative values, fractions, negative zero, non-finite values, unsafe integers, malformed stored parent depth, and derived overflow all reject. Omitting the cap leaves depth unbounded by this mechanism.
+The effective parent depth is the greater of durable `SessionHeader.delegationDepth` and runtime `AgentOptions.subagentDepth`. An in-process child records its derived depth in the session header, and resume restores that header, so a restart cannot lower the recursion count.
 
-A deployment can combine depth and filtering. For example, it may keep the delegation tool visible at depth one but set `maxDepth: 1`, or deny the delegation tool entirely in children. Neither choice changes the provider's conversation-history behavior.
+Every public entry validates the domain rather than relying on one model-facing configuration path. Negative values, fractions, negative zero, non-finite values, unsafe integers, malformed stored parent depth, and derived overflow all reject. A direct `SubagentStartRequest` may omit the cap to leave depth unbounded; loader-resolved `dsh-tool-subagent` configuration instead defaults to `3`, accepts a numeric override, and uses explicit `'provider-managed'` to omit the cap for an out-of-process provider whose deployment owns its recursion budget. Three is a small finite default that still permits a root plus three descendant generations: the [SDK helper's generated subagent entries](../../../../packages/sdk/helper/src/features/builtin/index.ts) and [JSON-RPC example](../../../../examples/jsonrpc-agent/cordis.yml) use that general policy, while the shipped interactive ACP, headless, and REPL examples pin one. A numeric tool cap fails at provider mount when the provider lacks `depthLimit`.
+
+A deployment can combine depth and filtering, but the numeric cap does not synthesize a filter. The delegation tool stays visible at the cap because authorization may depend on runtime state; every attempted start checks the calling agent's current durable and runtime depth, and a rejected start returns an errored tool result without publishing a child. A deployment may separately deny delegation tools in children when its visibility policy is static. Neither choice changes the provider's conversation-history behavior.
 
 ### Capability gating keeps providers honest
 
@@ -83,10 +85,10 @@ A security design would need a separate authority representation, propagation ru
 
 **Hide only tool schemas.** Presentation-only filtering lets the model execute a tool that the prompt says does not exist through Code Mode or a forged call. One resolver governs both presentation and execution instead.
 
-**Use only tool filtering to stop recursion.** Removing the delegation tool is useful but provider-specific and does not protect direct service callers or alternate delegation tools. Absolute depth is an independent structural bound.
+**Encode the depth cap as an automatic tool filter.** A creation-time filter snapshots a decision that may depend on runtime state, affects only one configured tool name, and does not protect direct service callers or alternate delegation tools. The provider instead enforces the absolute cap at every start.
 
 ## Consequences
 
 Contributors can configure child role, visible global tools, and recursion without defining new providers. Capability checks fail before ownership starts, unpublished setup makes the first request consistent, and one tool resolver prevents presentation/execution drift.
 
-The cost is that deployments must understand live allow/deny behavior and the distinction between visibility and authority. Provider authors must advertise each supported control accurately, and in-process providers must install every requested contribution before publication. The controls deliberately do not solve security confinement or parent-to-child non-escalation.
+The cost is that deployments must understand live allow/deny behavior and the distinction between visibility and authority. A model may call a visible delegation tool after the current depth policy forbids another child and receive an error. Provider authors must advertise each supported control accurately, and in-process providers must install every requested contribution before publication. The controls deliberately do not solve security confinement or parent-to-child non-escalation.

.agents/notes/implemented/feature/2026-07-14-cross-family-fs-sandbox.i18n.yaml

@@ -2,5 +2,5 @@
 # side as of the last confirmed-consistent state. Both languages carry equal authority;
 # after editing either side, bring the other along and re-record with:
 #   pnpm run verify-translation-pairing --write
-2026-07-14-cross-family-fs-sandbox.md: 9b6312e5994469606bd1645902fc798f70258580
-2026-07-14-cross-family-fs-sandbox.zh.md: d4816e03d94bdf12b2db875d71dccb7db3a2c0d7
+2026-07-14-cross-family-fs-sandbox.md: 0897695cc14b7573ebb53f3ffa6a460652882b37
+2026-07-14-cross-family-fs-sandbox.zh.md: 15de061a0d2b18392f839c927e9b0f5d0cacf28b

.agents/notes/implemented/feature/2026-07-14-cross-family-fs-sandbox.md

@@ -31,7 +31,7 @@ Three coordinated pieces, all composed from the leaf `cordis.yml`, none touching
 `packages/fs/fs-sandbox/` (`@deepseek-ai/dsh-fs-sandbox`) mirrors the `bash-local`/`bash-sandbox` split: `SandboxedFileSystem extends LocalFileSystem`, registered as `ctx.fs`, injecting `sandboxPolicy`. Reads (`resolve`/`stat`/`readText`/`streamText`/`listDir`) pass through untouched — every mode permits reading. The two mutations enforce by mode before delegating to the inherited atomic write:
 
 - `read-only` denies `writeText`/`editText` outright.
-- `workspace-write` fences the canonicalized target against the writable-root set — `writableRoots(policy)` in `dsh-sandbox`: the workspace root plus the platform temp areas (`/tmp`, `os.tmpdir()`), each realpathed — the SAME set the Seatbelt profile grants, so the fs fence is the fourth dialect of one mode meaning alongside the bwrap/Landlock/Seatbelt profiles, and "the write tool cannot write `/tmp` but bash can" asymmetries cannot arise. Containment is prefix-inclusion on real paths; the target is re-canonicalized (`resolve` realpaths the deepest existing ancestor) immediately before delegating, so an ancestor symlink swapped since the tool resolved it is caught.
+- `workspace-write` fences the canonicalized target against the writable-root set — `writableRoots(policy)` in `dsh-sandbox`: the workspace root plus the platform temp areas (`/tmp`, `os.tmpdir()`), each realpathed — the SAME set the Seatbelt profile grants, so the fs fence is the fourth dialect of one mode meaning alongside the bwrap/Landlock/Seatbelt profiles, and "the write tool cannot write `/tmp` but bash can" asymmetries cannot arise. Canonical spellings take a lexical containment fast path; when Windows exposes one directory through different casing or long-name/8.3 spellings, an ancestor walk compares filesystem identity rather than weakening the boundary to textual prefix guesses. The target is re-canonicalized (`resolve` realpaths the deepest existing ancestor) immediately before delegating, so an ancestor symlink swapped since the tool resolved it is caught.
 - `danger-full-access` delegates unfenced.
 
 A denial is the structured `FS_SANDBOX_DENIED` carrying the effective mode — distinct from `FS_PERMISSION_DENIED` (a host EACCES is the world refusing; this is policy refusing). No text inference: an in-process fence knows exactly what it denied. The per-call carrier is a trailing optional `sandboxMode` on `writeText`/`editText` (the filesystem twin of `BashExecRequest.sandboxMode`); the seam stays session-free (the caller stamps, exactly as `resolve` takes a cwd), and the bare local backend carries-and-ignores it. `FileSystem.sandboxMode` is the capability fact (`undefined` on the base and `fs-local`, the default on `SandboxedFileSystem`), so the tool layer advertises escalation from composition truth.
@@ -74,7 +74,7 @@ The sandbox Agent Note's original cross-family sketch put fs enforcement on the
 What shipped — the tiers in § Testing hold each:
 
 - Under `read-only`, `write`/`edit` return the `[sandbox: file access denied under read-only mode]` marker and the disk is untouched; `read`/`listDir` behave identically to `dsh-fs-local`.
-- Under `workspace-write`, mutations land under the workspace root and the temp areas and are denied outside; the containment matrix — `..` traversal, absolute paths outside, a pre-existing symlinked directory inside pointing out, and a new file created under such a symlink — denies every escape on real disks.
+- Under `workspace-write`, mutations land under the workspace root and the temp areas and are denied outside; the containment matrix — `..` traversal, absolute paths outside, a pre-existing symlinked directory inside pointing out, a new file created under such a symlink, and alias-equivalent root spellings — denies every escape while admitting the same directory identity on real disks.
 - A denied fs mutation retried once with `sandbox_permissions` + `justification` prompts through the composed approval chain; a grant runs exactly that call under the wider mode and the write lands; rejected/cancelled/unavailable each produce their verbatim fail-closed text and mutate nothing.
 - One `permission` preset switch governs both families: after a session switches modes, the next bash call and the next fs mutation both honor the new mode from the same `sandbox/mode` fold.
 - A direct `ctx.fs.writeText` with no per-call stamp is confined at the deployment default.
@@ -90,5 +90,5 @@ Costs and accepted limits:
 
 ## Testing
 
-- Unit: `dsh-sandbox` pins the escalation ladder, the marker builders, the argument-pairing validation, and `approveEscalation`'s ordered fail-closed sequence (non-widening, no-approval, no-agent, each outcome), plus `writableRoots`/`canonicalPath`. `dsh-sandbox-policy` pins the default accessors, the fold/setter, the load-time mode rejection, and HMR safety. `dsh-fs-sandbox` pins the per-mode fence and the containment matrix (inside, temp area, absolute-outside, `..`, symlinked-out directory, new file under one, path-equals-root, root-ending-in-separator) on a real filesystem, plus the per-call override and HMR safety. `dsh-tool-fs` pins advertisement gating, the mode stamp, the fold, denial-marker mapping, and the full escalation matrix (grant, reject, no-service, no-agent, pairing, non-confining guard). `dsh-tool-bash`, `dsh-bash-sandbox`, and `dsh-permission` migrate to the relocated policy/kit.
+- Unit: `dsh-sandbox` pins the escalation ladder, the marker builders, the argument-pairing validation, and `approveEscalation`'s ordered fail-closed sequence (non-widening, no-approval, no-agent, each outcome), plus `writableRoots`/`canonicalPath`. `dsh-sandbox-policy` pins the default accessors, the fold/setter, the load-time mode rejection, and HMR safety. `dsh-fs-sandbox` pins the per-mode fence and the containment matrix (inside, temp area, absolute-outside, `..`, symlinked-out directory, new file under one, path-equals-root, filesystem-root, and alias-equivalent spelling) on a real filesystem, plus the per-call override and HMR safety. `dsh-tool-fs` pins advertisement gating, the mode stamp, the fold, denial-marker mapping, and the full escalation matrix (grant, reject, no-service, no-agent, pairing, non-confining guard). `dsh-tool-bash`, `dsh-bash-sandbox`, and `dsh-permission` migrate to the relocated policy/kit.
 - Snapshot: the acp-agent example composes `dsh-sandbox-policy` + `dsh-fs-sandbox`; the pinned header carries the fs escalation fields and the `sandbox/mode` event name, re-recorded once.

.agents/notes/implemented/feature/2026-07-14-cross-family-fs-sandbox.zh.md

@@ -31,7 +31,7 @@ Status: implemented
 `packages/fs/fs-sandbox/`(`@deepseek-ai/dsh-fs-sandbox`)镜像 `bash-local`/`bash-sandbox` 的拆分:`SandboxedFileSystem extends LocalFileSystem`,注册为 `ctx.fs`,注入 `sandboxPolicy`。读取(`resolve`/`stat`/`readText`/`streamText`/`listDir`)原样透传——每种模式都允许读。两个变更操作在委托给继承来的原子写之前按模式执行:
 
 - `read-only` 直接拒绝 `writeText`/`editText`。
-- `workspace-write` 把规范化后的目标围栏于可写根集合——`dsh-sandbox` 中的 `writableRoots(policy)`:工作区根加上平台临时目录(`/tmp`、`os.tmpdir()`),各自 realpath——与 Seatbelt profile 授予的是同一个集合,所以 fs 围栏是这一个模式含义在 bwrap/Landlock/Seatbelt profile 之外的第四种方言,因此不会出现「write 工具不能写 `/tmp` 而 bash 能」的不对称。包含判定是对真实路径的前缀包含;目标在委托前被立即重新规范化(`resolve` 对最深的既有祖先做 realpath),因此自工具解析该目标以来被换出的祖先符号链接会被捕获。
+- `workspace-write` 把规范化后的目标围栏于可写根集合——`dsh-sandbox` 中的 `writableRoots(policy)`:工作区根加上平台临时目录(`/tmp`、`os.tmpdir()`),各自 realpath——与 Seatbelt profile 授予的是同一个集合,所以 fs 围栏是这一个模式含义在 bwrap/Landlock/Seatbelt profile 之外的第四种方言,因此不会出现「write 工具不能写 `/tmp` 而 bash 能」的不对称。规范化路径写法采用词法包含的快速路径；当 Windows 以大小写不同的路径、长文件名或 8.3 短文件名表示同一目录时，系统会逐级遍历祖先目录并比较文件系统身份，而不会把边界弱化为依据文本前缀猜测包含关系。目标在委托前被立即重新规范化(`resolve` 对最深的既有祖先做 realpath),因此自工具解析该目标以来被换出的祖先符号链接会被捕获。
 - `danger-full-access` 不加围栏地委托。
 
 拒绝是结构化的 `FS_SANDBOX_DENIED`,携带生效模式——区别于 `FS_PERMISSION_DENIED`(宿主 EACCES 是世界在拒绝;这里是策略在拒绝)。无文本推断:进程内围栏确切知道它拒绝了什么。per-call 载体是 `writeText`/`editText` 上一个末尾可选的 `sandboxMode`(文件系统侧对应 `BashExecRequest.sandboxMode`);该 seam 保持无会话依赖(由调用方盖章,正如 `resolve` 接收一个 cwd),而裸的本地后端携带并忽略它。`FileSystem.sandboxMode` 是能力事实(在基类与 `fs-local` 上为 `undefined`,在 `SandboxedFileSystem` 上为默认值),所以工具层按组合真相来宣告升级。
@@ -74,7 +74,7 @@ Status: implemented
 已交付的部分——§ Testing 的各层各自钉住:
 
 - 在 `read-only` 下,`write`/`edit` 返回 `[sandbox: file access denied under read-only mode]` 标记,磁盘不受触动;`read`/`listDir` 与 `dsh-fs-local` 行为一致。
-- 在 `workspace-write` 下,变更落在工作区根与临时目录下,其外被拒;包含矩阵——`..` 穿越、指向外部的绝对路径、一个既有的、指向外部的工作区内符号链接目录,以及在这样一个符号链接下新建的文件——在真实磁盘上拒绝每一种逃逸。
+- 在 `workspace-write` 下,变更落在工作区根与临时目录下,其外被拒;包含矩阵——`..` 穿越、指向外部的绝对路径、一个既有的、指向外部的工作区内符号链接目录、在这样一个符号链接下新建的文件,以及根路径的等价别名形式——在真实磁盘上拒绝每一种逃逸,同时允许文件系统认定为同一目录的路径。
 - 一个被拒的 fs 变更,携带 `sandbox_permissions` + `justification` 重试一次,会经组合的审批链提示;一次授权让恰好那一次调用在更宽的模式下运行且写入落盘;rejected/cancelled/unavailable 各自产生其逐字的 fail-closed 文案且不做任何变更。
 - 一次 `permission` 预设切换同时管辖两个家族:会话切换模式后,下一次 bash 调用与下一次 fs 变更都从同一个 `sandbox/mode` 折叠遵循新模式。
 - 一次无 per-call 盖章的直连 `ctx.fs.writeText` 会被围栏于部署默认值。
@@ -90,5 +90,5 @@ Status: implemented
 
 ## Testing
 
-- 单元:`dsh-sandbox` 钉住升级阶梯、标记构造器、参数配对校验,以及 `approveEscalation` 的有序 fail-closed 序列(非加宽、无 approval、无 agent、各结果),外加 `writableRoots`/`canonicalPath`。`dsh-sandbox-policy` 钉住默认访问器、折叠/setter、加载期模式拒绝,以及 HMR 安全。`dsh-fs-sandbox` 在真实文件系统上钉住 per-mode 围栏与包含矩阵(内部、临时目录、绝对路径-外部、`..`、指向外部的符号链接目录、其下的新建文件、路径等于根、以分隔符结尾的根),外加 per-call 覆盖与 HMR 安全。`dsh-tool-fs` 钉住宣告门控、模式盖章、折叠、拒绝标记映射,以及完整的升级矩阵(授权、拒绝、无服务、无 agent、配对、非受限守卫)。`dsh-tool-bash`、`dsh-bash-sandbox` 与 `dsh-permission` 迁移到迁移后的策略/工具集。
+- 单元:`dsh-sandbox` 钉住升级阶梯、标记构造器、参数配对校验,以及 `approveEscalation` 的有序 fail-closed 序列(非加宽、无 approval、无 agent、各结果),外加 `writableRoots`/`canonicalPath`。`dsh-sandbox-policy` 钉住默认访问器、折叠/setter、加载期模式拒绝,以及 HMR 安全。`dsh-fs-sandbox` 在真实文件系统上钉住 per-mode 围栏与包含矩阵(内部、临时目录、绝对路径-外部、`..`、指向外部的符号链接目录、其下的新建文件、路径等于根、文件系统根、等价别名形式),外加 per-call 覆盖与 HMR 安全。`dsh-tool-fs` 钉住宣告门控、模式盖章、折叠、拒绝标记映射,以及完整的升级矩阵(授权、拒绝、无服务、无 agent、配对、非受限守卫)。`dsh-tool-bash`、`dsh-bash-sandbox` 与 `dsh-permission` 迁移到迁移后的策略/工具集。
 - 快照:acp-agent 示例组合 `dsh-sandbox-policy` + `dsh-fs-sandbox`;被钉住的 header 携带 fs 升级字段与 `sandbox/mode` 事件名,一次性重录。

.agents/notes/implemented/feature/2026-07-16-harness-level-loop.i18n.yaml

@@ -0,0 +1,6 @@
+# Bilingual-pair consistency record (docs/i18n/README.md): the git blob hash of each
+# side as of the last confirmed-consistent state. Both languages carry equal authority;
+# after editing either side, bring the other along and re-record with:
+#   pnpm run verify-translation-pairing --write
+2026-07-16-harness-level-loop.md: 9a9511b9dcea1b5fdc90f4fc716c4399f2346967
+2026-07-16-harness-level-loop.zh.md: 284e73051eaaa4633b9f56367de9096dadc8184e

.agents/notes/implemented/feature/2026-07-16-harness-level-loop.md

@@ -0,0 +1,129 @@
+# Agent Note: Harness-level goal-based execution
+
+Status: implemented
+
+English | [中文](2026-07-16-harness-level-loop.zh.md)
+
+## Problem
+
+The concrete agent loop owns one turn: it drains admitted input, performs one or more model-and-tool steps, and stops. Substantial objectives often need an outer policy that can begin another turn, retain progress, stop at a budget, and remain intelligible to humans. A timed prompt, a same-session continuation, and a fresh-agent Ralph attempt all repeat work, but they do not share the same state, authority, memory, or lifecycle.
+
+Treating every repeated action as one generic “loop” obscures those differences. Same-session work must persist the human objective in the existing transcript while preserving conversation context. Ralph work must intentionally discard conversation context and use the workspace plus a bounded handoff. Human-facing status must not imply that reopening a session silently authorizes more work. Completion and blocker claims also need an explicit trust boundary rather than being smuggled into a scheduler abstraction.
+
+The repository therefore needs goal-based execution above the turn/step loop, but it does not need a speculative universal loop service that combines persistence, evaluation, budgeting, scheduling, handoff, background tasks, and UI.
+
+## Decision
+
+This proposal is implemented in amended form as two explicit plugin policies over existing seams:
+
+1. **Same-session goals** retain one durable objective in the current session and admit goal-attributed continuation turns only while live activation is armed.
+2. **Fresh-agent Ralph runs** execute a fixed foreground workflow whose rounds each spawn a new structured child with no conversation seed.
+
+There is no `packages/loop/` family, `LoopDriver`, `LoopId`, universal `StopCondition`, or model-facing generic `loop` tool. The two policies share the repository's ordinary agent, session, tools, workflow, subagent, and UI extension seams, but they do not pretend that one lifecycle fits both.
+
+### Vocabulary and policy boundary
+
+The same-session hierarchy is **Goal → Goal Round → Turn → Step**. A goal round is one continuation cycle admitted for the current goal and materialized as one goal-sourced turn. Human or unrelated turns in the same session do not consume the goal-round cap, and a turn may still contain multiple model/tool steps.
+
+The fresh-agent hierarchy is **Ralph Run → Ralph Round → fresh child Turn → Step**. One Ralph round creates one child session. The parent transcript and prior child transcripts are not seed context; the shared workspace and one bounded structured report carry cross-round state.
+
+“Round” is therefore an outer policy iteration, not a synonym for every session turn. The concrete `dsh-agent-loop` remains the turn/step engine. The same-session driver uses public agent and session events; its only core addition is the generic observe-before-cancel `agent/cancel-requested` notification needed by any lifecycle policy that must settle cancellation safely.
+
+Time-based `/loop` or scheduled execution is a third policy and is not implemented by this decision. It belongs with a scheduler rather than either goal family.
+
+### Package topology and owning verbs
+
+| 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-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/ui/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 and ACP. |
+| `@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`. |
+
+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.
+
+### Durable goal state and live authority
+
+One session has at most one current goal. Every non-clear mutation appends a full, versioned, model-visible goal snapshot through `Agent.inject()`; clear appends a revisioned tombstone. The session log is the only durable source of truth, so normal persistence, resume, compaction semantics, and `SessionStore.fork()` carry the goal without a second database or an artificial cancellation record.
+
+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.
+
+This separation makes session restoration observable and unsurprising. Reopening a session never starts goal work by itself. A later human prompt such as “continue”, “resume the goal”, or an equivalent request in any language gives the runtime-root model a new turn in which it may read the goal and call `update_goal(..., action: 'resume')`. `/goal resume` is the direct human-command path. The runtime authenticates that the request came from a live direct-human turn; prompt policy lets the model interpret whether the wording semantically authorizes creation or resumption.
+
+Forked sessions inherit the durable goal prefix because that is the natural replay result. The fork starts disarmed, so inheritance does not imply execution authority and no synthetic goal cancellation is inserted into history.
+
+`defaultMaxGoalRounds` is configurable and defaults to `256`. The cap counts only admitted goal rounds. `blockedAfterConsecutiveRounds` is separately configurable in the model-tool policy and defaults to `3`; it is a mechanical lower bound before an autonomous round may report a repeated blocker, not an evaluator of semantic sameness.
+
+### Same-session continuation
+
+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 mutations are durable, the exact goal id/revision/round still matches, and downstream prompt policy accepts it. The prompt-submit fence checks those facts both before and after asynchronous listeners, preventing an edit, pause, human message, or unload race from admitting obsolete work.
+
+Only the durable goal-sourced `user/message` charges a round. Stale reservations become rejected zero-step turns without consuming the cap. A concurrent goal revision wins over settlement from an older round.
+
+Normal turn completion schedules another round only while the goal remains active, armed, and below its cap. Cancellation pauses. Rate limiting or quota exhaustion blocks with code `usage-limited`; cap exhaustion blocks with `round-limit`; queue failure uses `queue-failed`; turn errors, max-token stops, policy rejection, and unknown terminal results use their corresponding blocker codes. An independently composed request-recovery plugin may retry transient provider failures within that same turn; the goal driver never invents another round after an abnormal terminal outcome. A human can later authorize resume through ordinary language or `/goal resume`.
+
+### Human and model surfaces
+
+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.
+
+TUI and ACP mount the shared command registry and complete goal stack by default and expose `/goal` through one producer. 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.
+
+### Fresh-agent Ralph execution
+
+Ralph is a first-class model tool in its own plugin, demonstrating that a sophisticated fixed execution policy can be composed without a new loop core. The plugin owns a fixed workflow script over `ctx.workflows` and `ctx.subagents`; it does not create session-goal state or add a branch to `dsh-agent-loop`.
+
+Each round uses an explicit `WorkflowStartRequest.subagentProvider`, defaulting to `spawn`. The provider must exist, support structured output, and declare that it does not inherit parent context. Ralph also passes its resolved round cap as `WorkflowStartRequest.maxTotalAgents`; the worker engine validates both per-run policies before publishing work, so provider misconfiguration or an engine ceiling below the requested Ralph scale fails before a run exists. The child inherits cwd and lineage but receives only the immutable objective, round/cap, workspace-as-authority instruction, and previous normalized report.
+
+A report contains status, summary, evidence, next steps, and blocker text. Status-specific invariants and serialized size are validated inside the fixed script and again at the consumer boundary. `maxRounds` is configurable, defaults to `256`, and is the ceiling for a call override. `maxHandoffChars` defaults to `16384`; oversized reports fail rather than being silently truncated. `maxResultChars` separately defaults to `16384` and bounds the complete successful parent-facing text, including its envelope and truncation marker.
+
+An ordinary child failure ends the run without retry. The fixed script reports the failed round and last successful handoff when one exists, and the tool returns that state as an error instead of misclassifying it as a malformed report or budget exhaustion. Fatal workflow infrastructure failures can settle before the script returns that state; richer reason transport and retry policy remain deferred.
+
+The tool is foreground and process-local. The parent tool call waits for the terminal result, propagates cancellation into the worker engine, and awaits `run.dispose()` so child work is quiescent before return. The model sees one call and one bounded successful terminal result or an error; completion and blocker envelopes explicitly say that a worker reported the outcome rather than presenting it as independent certification. Intermediate child conversations remain outside the parent transcript.
+
+### External design lineage
+
+Codex provides the minimal observable goal UX used here: a persistent chat-attached target with set, view, edit, pause, resume, and clear controls. This implementation adopts that discoverability while using this repository's event-sourced goal record, plugin scopes, and runtime authority checks.
+
+Current [Claude Code goals](https://code.claude.com/docs/en/goal) reinforce the distinction between a goal that starts another turn after the previous turn and a timed `/loop`. Claude Code also uses a separate small-model evaluator after each turn. This implementation adopts the policy distinction but intentionally does not copy that evaluator: evaluator inputs, tool access, deterministic checks, provider choice, isolation, and authority need a separately designed plugin contract rather than an implicit self-certification layer.
+
+External products are comparators, not compatibility targets. The local source studies informed the boundaries, while the shipped interfaces follow this repository's “everything is a plugin”, model-visible-is-logged, explicit default resolution, and quiescent teardown rules.
+
+### Verification
+
+The six owning Agent Notes record unit, integration, process, snapshot, cancellation, replay, and built-runtime coverage. The stack exercises strict goal-record folding, compare-and-set races, session fork inheritance, disarmed restoration, natural-language direct-human authority, configurable caps and blocked thresholds, exact goal-round attribution, adapter-wide command discovery, and transcript isolation. Shipped keyless snapshots cover model goal creation/inspection through the headless app, multi-round same-session lifecycle and cancellation through ACP, direct `/goal` status without a model turn, and two real Ralph rounds through the headless app. The Ralph snapshot boots the worker-thread engine, spawn provider, structured-output runtime, and agent loop, then inspects distinct unseeded child logs and exact one-way bounded handoff while pinning the parent stream. Focused real-stack tests additionally cover completion, blocker and round-limit outcomes, malformed and oversized reports, ordinary child failure with the last good handoff, one phase event, and cancellation to child quiescence. Package sources remain under the repository's per-file 100% coverage gate, and built-binary tests cover installed-artifact resolution. The implementation experience is recorded in the root testing policy: every non-trivial model- or human-visible change must carry a real-example keyless snapshot in the same PR rather than relying on package-only or mock-only fixture coverage.
+
+## Alternatives considered
+
+- **Implement the original universal loop capability seam** — rejected because `Evaluator`, `BudgetPolicy`, `RoundHandoff`, `GoalReflector`, background task ownership, persistence, and scheduling do not form one coherent mandatory abstraction. Building all of them before their first concrete consumers would create broad speculative surface and duplicate existing session, workflow, subagent, and task machinery.
+- **Implement only same-session goals** — rejected because fresh-context iteration is materially different and is a valuable demonstration of the plugin architecture. Ralph belongs as a fixed workflow consumer with explicit context reset.
+- **Put Ralph inside the goal-round driver** — rejected because same-session goals deliberately preserve one conversation while Ralph deliberately removes it. Combining them would make activation, replay, handoff, and UI state ambiguous.
+- **Treat a fork as a fresh Ralph child** — rejected because a fork carries a conversation prefix. Fresh children plus workspace state and one explicit report are easier to bound and replay without a synthetic cancel record.
+- **Copy Claude Code's evaluator into the first goal implementation** — rejected because a transcript-only model evaluator is one useful policy, not a generally trustworthy completion certificate. Deterministic evaluation and isolation must remain possible, so the evaluator is deferred until its authority and provider seam are designed.
+- **Automatically continue after session restore** — rejected because opening a session is observation, not authority to spend resources. Durable state is restored while activation waits for a new human prompt.
+- **Route `/goal` through the model** — rejected because status and explicit lifecycle controls should be deterministic, token-free UI actions; ordinary natural-language prompts remain the semantic model path.
+- **Modify the concrete agent loop with goal or Ralph modes** — rejected because public queue, prompt, session, cancellation, workflow, and subagent seams already support both policies. The generic cancel-requested observation is the only core coordination addition.
+
+## Consequences
+
+- 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.
+- 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.
+
+## Known limitations and deferred work
+
+- **Independent evaluation** — same-session completion/blocking and Ralph terminal status are model or worker declarations. A separate evaluator, evaluator-driven feedback round, completion certificate, deterministic checker, adversarial verifier, and criteria/executor/isolation contract remain deferred.
+- **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.
+- **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.
+- **No time scheduler** — interval `/loop`, cron, proactive maintenance, and cloud or desktop scheduling are outside this decision.
+- **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.
+- **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.
+- **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.
+- **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.
+- **Portable UI remains modest** — TUI and ACP render plain-text goal status and generic Ralph cards. There is no continuous status widget, reconnectable command output, modal goal editor, or command plane in the headless CLI or JSON-RPC front doors.

.agents/notes/implemented/feature/2026-07-16-harness-level-loop.zh.md

@@ -0,0 +1,129 @@
+# Agent Note: Harness 层目标式执行
+
+Status: implemented
+
+[English](2026-07-16-harness-level-loop.md) | 中文
+
+## 问题
+
+具体 agent loop 只拥有一个 Turn：它排空已接纳输入，执行一个或多个模型与工具 Step，然后停止。大型目标通常需要一项外层策略来开始另一个 Turn、保留进度、在预算处停止，并让人类能够理解其状态。定时提示词、同会话续行和全新 agent Ralph 尝试都会重复工作，但它们并不共享相同的状态、权限、记忆或生命周期。
+
+若把每种重复动作都称为一个通用“loop”，就会掩盖这些差异。同会话工作必须在现有转录中持久化人类目标，同时保留对话上下文。Ralph 工作必须有意丢弃对话上下文，只使用工作区和一份有界交接。面向人类的状态不能暗示重新打开会话就会静默授权更多工作。完成与阻塞声明也需要显式信任边界，而不能被偷渡进调度器抽象。
+
+因此，本仓库需要位于 Turn/Step loop 之上的目标式执行，但不需要一个把持久化、评估、预算、调度、交接、后台任务和 UI 组合在一起的推测性通用 loop 服务。
+
+## 决策
+
+本提案以修订后的形式实现为构建在现有接缝之上的两项显式插件策略：
+
+1. **同会话目标**在当前会话中保留一个持久目标，并且只在实时激活态已激活时接纳带目标归属的续行 Turn。
+2. **全新 agent Ralph 运行**执行一个固定前台工作流，其中每个 Round 都生成一个不带对话种子的全新结构化子 agent。
+
+系统中没有 `packages/loop/` 包族、`LoopDriver`、`LoopId`、通用 `StopCondition` 或面向模型的通用 `loop` 工具。两项策略共享本仓库普通的 agent、session、tools、workflow、subagent 与 UI 扩展接缝，但不会假装一种生命周期可以同时适配两者。
+
+### 词汇与策略边界
+
+同会话层级是 **Goal → Goal Round → Turn → Step**。一个 Goal Round 是为当前目标接纳的一次续行周期，并实体化为一个带目标来源的 Turn。同一会话中的人类 Turn 或无关 Turn 不会消耗目标回合上限，而一个 Turn 仍可包含多个模型/工具 Step。
+
+全新 agent 层级是 **Ralph Run → Ralph Round → fresh child Turn → Step**。一个 Ralph Round 创建一个子会话。父转录和此前子转录都不是种子上下文；共享工作区与一份有界结构化报告承载跨 Round 状态。
+
+因此，“Round”是外层策略迭代，不是每个会话 Turn 的同义词。具体 `dsh-agent-loop` 仍是 Turn/Step 引擎。同会话驱动器使用公开 agent 与 session 事件；它对核心唯一的新增项是通用的取消前观察通知 `agent/cancel-requested`，任何需要安全收敛取消的生命周期策略都可以使用它。
+
+基于时间的 `/loop` 或定时执行是第三种策略，本决策不实现它。它应归属于调度器，而不是任一目标包族。
+
+### 包拓扑与所属动词
+
+| 包 | 仓库类别 | 所属结构与动词 |
+|---|---|---|
+| `@deepseek-ai/dsh-goal` | `packages/goal/goal/`，领域服务 | 拥有 `GoalId`、比较并交换 `GoalRef`、`GoalSnapshot`、四状态 `GoalPhase`、结构化 `GoalBlockReason`、进程本地 `GoalActivation`、重放折叠，以及 `get`、`create`、`edit`、`pause`、`resume`、`complete`、`block`、`clear` 与 `disarm` 动词。 |
+| `@deepseek-ai/dsh-tool-goal` | `packages/goal/tool-goal/`，面向模型消费者 | 注册互斥的 `get_goal`、`create_goal` 与 `update_goal`；认证实时 Turn 来源，并把自治 Round 权限收窄到带机器可路由原因代码的完成或阻塞报告。 |
+| `@deepseek-ai/dsh-goal-session` | `packages/goal/goal-session/`，续行策略 | 在不导入具体 loop 的情况下，预留、设围栏、接纳、归属、结算、取消并静止排空同会话目标回合。 |
+| `@deepseek-ai/dsh-commands` | `packages/ui/commands/`，UI 注册表 | 拥有面向人类专用命令的 `CommandDefinition`、发现、作用域注册、直接分发、`CommandResult` 与请求取消。 |
+| `@deepseek-ai/dsh-command-goal` | `packages/goal/command-goal/`，人类命令生产方 | 为 TUI 和 ACP 注册构建在目标领域之上的 `/goal` 状态、创建、编辑、暂停、恢复与清除。 |
+| `@deepseek-ai/dsh-tool-ralph` | `packages/workflow/tool-ralph/`，固定工作流消费者 | 注册 `ralph({ objective, maxRounds? })`，验证全新结构化 provider 与有界 `RalphRoundReport`，并返回 `complete`、`blocked` 或 `budget-limited`。 |
+
+详细契约分别由[目标领域](2026-07-19-persisted-same-session-goal-domain.md)、[模型目标工具](2026-07-19-model-facing-goal-tools.md)、[目标回合驱动器](2026-07-19-same-session-goal-round-driver.md)、[命令注册表](2026-07-19-plugin-command-registration.md)、[人类目标命令](2026-07-19-human-goal-command.md)与 [Ralph 工作流工具](2026-07-19-fresh-agent-ralph-workflow-tool.md) Agent Note 拥有。
+
+### 持久目标状态与实时权限
+
+一个会话至多有一个当前目标。每次非清除变更都通过 `Agent.inject()` 追加一份完整、带版本且模型可见的目标快照；清除会追加带修订号的墓碑。会话日志是唯一持久事实来源，因此普通持久化、恢复、压缩语义与 `SessionStore.fork()` 会携带目标，无需第二个数据库或人为取消记录。
+
+持久阶段只有 `active`、`paused`、`blocked` 与 `complete`。阻塞目标必须携带 `GoalBlockReason`，其中包含稳定的小写 kebab-case `code` 与非空的人类可读 `message`；用量限制、Round 耗尽、模型失败与策略拒绝都是原因代码，而不是额外生命周期阶段。独立激活态是 `armed` 或 `disarmed`，且永不持久化。创建与显式恢复会激活目标；停止转换、会话启动、fork 重放、驱动器替换和驱动器拆卸都会让目标保持未激活。
+
+这种分离让会话恢复可观察且符合直觉。重新打开会话绝不会自行开始目标工作。随后的人类提示词，例如“继续”、“恢复目标”或任何语言中的等价请求，会给运行时根 agent 的模型一个新 Turn；模型可在其中读取目标并调用 `update_goal(..., action: 'resume')`。`/goal resume` 是直接人类命令路径。运行时认证请求来自实时直接人类 Turn；提示策略让模型解释措辞在语义上是否授权创建或恢复。
+
+fork 会话会继承持久目标前缀，因为这是自然的重放结果。fork 从未激活状态开始，因此继承不等于执行权限，历史中也不会插入合成目标取消。
+
+`defaultMaxGoalRounds` 可配置且默认为 `256`。该上限只计算已接纳目标回合。`blockedAfterConsecutiveRounds` 在模型工具策略中单独配置且默认为 `3`；它只是在自治 Round 报告重复阻塞前的机械下限，不是对语义相同性的评估器。
+
+### 同会话续行
+
+目标回合驱动器为每个准确实时 agent 至多拥有一个待定预留。只有目标处于活跃且已激活状态、agent 空闲、不存在竞争性人类工作、待定变更已经持久、准确目标 id/修订号/Round 仍匹配，并且下游提示词策略接受时，它才会接纳预留。prompt-submit 围栏在异步监听器前后都检查这些事实，防止编辑、暂停、人类消息或卸载竞争接纳过时工作。
+
+只有持久的目标来源 `user/message` 会计入一个 Round。过时预留会成为未消耗上限的零 Step 拒绝 Turn。并发目标修订会胜过旧 Round 的结算。
+
+普通 Turn 完成后，只有目标仍活跃、已激活且低于上限时才会安排另一个 Round。取消会暂停。速率限制或配额耗尽以代码 `usage-limited` 阻塞；上限耗尽使用 `round-limit`；队列失败使用 `queue-failed`；Turn 错误、max-token 停止、策略拒绝与未知终止结果使用各自对应的阻塞代码。独立组合的请求恢复插件可以在同一个 Turn 内重试暂时性 provider 失败；目标驱动器绝不会在异常终止结果后凭空发起另一个 Round。人类随后可以通过普通语言或 `/goal resume` 授权恢复。
+
+### 人类与模型表面
+
+人类 UX 遵循 [OpenAI Codex 在提交 `678157a` 时的公开 TUI 分发器](https://github.com/openai/codex/blob/678157acaa819d5510adfe359abb5d0392cfe461/codex-rs/tui/src/chatwidget/slash_dispatch.rs#L750-L805)中的紧凑形态：`/goal` 显示状态，`/goal <objective>` 创建目标，而 `edit`、`pause`、`resume` 或 `clear` 执行直接生命周期操作。该提交永久链接让研究所得语法在 Codex 演进时仍可验证。状态包含持久阶段、已接纳/上限 Round 数以及实时已激活/未激活状态。直接状态与命令输出不会进入模型历史；已接受领域变更仍可重建，因为目标服务会记录它们。
+
+模型只接收 `get_goal`、`create_goal` 和 `update_goal`。当直接人类请求清楚要求大量多 Round 工作时，模型可以创建目标，并且可以从任何语言推断该意图。它不得把日常单 Turn 工作变成目标。直接人类来源由代码强制执行；语义解释仍是模型判断。自治目标 Round 可以为准确当前目标 Round 报告 `complete` 或 `blocked`，但不能编辑、暂停、恢复或替换人类目标。
+
+TUI 与 ACP 默认挂载共享命令注册表和完整目标栈，并通过同一个生产方暴露 `/goal`。每条有效已注册命令都能被每个已组合的命令适配器发现和调用；若插件与某应用不兼容，该应用组合会省略其命令生产方，而不是依赖注册表层面的表面掩码。无 UI agent spine 要求显式选择加入，以免单次调用方静默变成多 Round 操作。无头 CLI 与 JSON-RPC 前端不消费命令平面；挂载目标栈后，普通人类文本仍可授权模型目标工具。
+
+### 全新 agent Ralph 执行
+
+Ralph 是位于自有插件中的一等模型工具，展示了复杂固定执行策略可以在没有新 loop 核心的情况下组合完成。该插件拥有构建在 `ctx.workflows` 与 `ctx.subagents` 之上的固定工作流脚本；它不会创建会话目标状态，也不会为 `dsh-agent-loop` 增加分支。
+
+每个 Round 都使用显式 `WorkflowStartRequest.subagentProvider`，默认为 `spawn`。该 provider 必须存在、支持结构化输出，并声明不继承父上下文。Ralph 还会把解析后的 Round 上限作为 `WorkflowStartRequest.maxTotalAgents` 传递；工作线程引擎会在发布工作前验证两项每次运行策略，因此 provider 配置错误或低于所请求 Ralph 规模的引擎上限会在运行存在前失败。子 agent 继承 cwd 与谱系，但只接收不可变目标、当前 Round/上限、以工作区为权威的指令和上一份规范化报告。
+
+报告包含状态、摘要、证据、下一步与阻塞文本。固定脚本内部和消费者边界都会验证状态专用不变量与序列化大小。`maxRounds` 可配置，默认为 `256`，并作为调用覆盖值的上限。`maxHandoffChars` 默认为 `16384`；过大报告会失败，而不会被静默截断。`maxResultChars` 单独默认为 `16384`，并限制面向父级的完整成功文本，包括外层文本与截断标记。
+
+普通子 agent 失败会结束运行且不重试。固定脚本会报告失败 Round，并在存在时带回上一份成功交接；工具会把该状态作为错误返回，而不会误判为畸形报告或预算耗尽。致命工作流基础设施错误可能在脚本返回该状态前结算；更丰富的原因传输与重试策略均予以延期。
+
+该工具位于前台且只存在于进程内。父工具调用等待终止结果，把取消传播到工作线程引擎，并等待 `run.dispose()`，因此返回前子工作已达到静止。模型只看到一次调用，以及一份有界成功终止结果或一个错误；完成与阻塞的外层文本会明确说明结果由工作者报告，而不会呈现为独立认证。中间子 agent 对话不会进入父转录。
+
+### 外部设计谱系
+
+Codex 提供了这里采用的最小可观察目标 UX：一个附着于聊天的持久目标，以及设置、查看、编辑、暂停、恢复与清除控制。本实现采用这种可发现性，但使用本仓库的事件溯源目标记录、插件作用域与运行时权限检查。
+
+当前 [Claude Code goals](https://code.claude.com/docs/en/goal) 进一步验证了“前一 Turn 后启动另一 Turn 的目标”和定时 `/loop` 之间的区别。Claude Code 还会在每个 Turn 后使用独立小模型评估器。本实现采用策略区分，但有意不复制该评估器：评估器输入、工具访问、确定性检查、provider 选择、隔离与权限需要单独设计的插件契约，而不是隐式自我认证层。
+
+外部产品只是比较对象，不是兼容目标。本地源码研究帮助确定边界，而交付接口遵循本仓库“一切皆插件”、模型可见即可记录、显式解析默认值与静止拆卸规则。
+
+### 验证
+
+六份所属 Agent Note 记录了单元、集成、进程、快照、取消、重放与构建后运行时覆盖。该栈验证严格目标记录折叠、比较并交换竞争、会话 fork 继承、恢复后未激活、自然语言直接人类权限、可配置上限与阻塞阈值、准确目标回合归属、适配器范围的命令发现与转录隔离。已发布的无密钥快照覆盖通过无头应用创建/检查模型目标、通过 ACP 执行多 Round 同会话生命周期与取消、无需模型 Turn 的直接 `/goal` 状态，以及通过无头应用执行两个真实 Ralph Round。Ralph 快照会启动工作线程引擎、spawn provider、结构化输出运行时与 agent loop，随后检查互不相同且无种子的子日志和准确单向有界交接，同时固定父级事件流。聚焦的真实栈测试还覆盖完成、阻塞与 Round 上限结果、畸形及过大报告、保留上一份有效交接的普通子 agent 失败、单个阶段事件，以及取消后达到子 agent 静止状态。包源码继续受仓库逐文件 100% 覆盖率门禁约束，构建后二进制测试覆盖已安装产物解析。实现经验已记录进根测试策略：每项非平凡的模型或人类可见变更都必须在同一 PR 中携带真实示例无密钥快照，而不能依赖仅包级或仅模拟夹具的覆盖。
+
+## 考虑过的替代方案
+
+- **实现原始通用 loop 能力接缝**——不予采纳，因为 `Evaluator`、`BudgetPolicy`、`RoundHandoff`、`GoalReflector`、后台任务所有权、持久化与调度并不构成一项一致的必选抽象。在出现首个具体消费者前全部构建，会产生宽泛推测性表面，并重复现有 session、workflow、subagent 与 task 机制。
+- **只实现同会话目标**——不予采纳，因为全新上下文迭代在实质上不同，也是插件架构的重要示范。Ralph 应作为带显式上下文重置的固定工作流消费者。
+- **把 Ralph 放进目标回合驱动器**——不予采纳，因为同会话目标有意保留一段对话，而 Ralph 有意移除对话。合并两者会让激活、重放、交接与 UI 状态含糊不清。
+- **把 fork 当成全新 Ralph 子 agent**——不予采纳，因为 fork 会携带对话前缀。全新子 agent 加工作区状态与一份显式报告更容易限制和重放，并且无需合成取消记录。
+- **把 Claude Code 评估器复制进首个目标实现**——不予采纳，因为只读取转录的模型评估器是一项有用策略，但不是普遍可信的完成证书。系统必须仍能支持确定性评估与隔离，因此评估器延期到其权限与 provider 接缝完成设计之后。
+- **会话恢复后自动续行**——不予采纳，因为打开会话是观察行为，不是花费资源的权限。系统恢复持久状态，而激活态等待新的人类提示词。
+- **通过模型路由 `/goal`**——不予采纳，因为状态与显式生命周期控制应是确定、零 token 的 UI 操作；普通自然语言提示词仍是语义模型路径。
+- **为具体 agent loop 增加目标或 Ralph 模式**——不予采纳，因为公开队列、提示词、会话、取消、工作流与 subagent 接缝已经支持两项策略。通用 cancel-requested 观察是唯一核心协调新增项。
+
+## 后果
+
+- 目标式执行在没有单个过载“loop”对象的情况下交付：同会话续行与全新 agent 迭代拥有显式、可独立测试的契约。
+- 持久目标历史可以重放和 fork，而进程本地激活态会防止恢复时意外开始工作。
+- 人类获得小型 Codex 形态 UX；模型获得紧凑、带来源检查的工具表面；部署可以独立移除任一能力。
+- Ralph 展示了非平凡固定策略可以完全作为现有 workflow 与 subagent 原语之上的插件实现。
+- Round 上限默认宽裕，但仍由部署控制。它限制迭代次数，不限制 token、价格、耗时或外部副作用。
+- 原始提案中的评估器、预算、反思器、后台任务、CLI 与通用 loop-session 架构有意不进入已实现公开表面。
+
+## 已知限制与延期工作
+
+- **独立评估**——同会话完成/阻塞和 Ralph 终止状态都是模型或工作者声明。独立评估器、评估器驱动反馈 Round、完成证书、确定性检查器、对抗式 verifier 与 criteria/executor/isolation 契约均予以延期。
+- **聚合预算**——`maxGoalRounds` 与 Ralph `maxRounds` 是唯一聚合工作量限制。token、货币、耗时、provider 用量与逐 Round 价格准入策略均不存在。
+- **没有持久自治运行器**——同会话目标事实会持久化，但激活与调度只存在于进程内，并且有意在恢复后等待人类输入。Ralph 位于前台，进程丢失后无法恢复。后台收集、重启恢复与无人值守常驻执行均予以延期。
+- **没有时间调度器**——间隔 `/loop`、cron、主动维护以及云端或桌面调度不在本决策范围内。
+- **没有通用 loop 日志或执行世界回退**——会话重放会重建模型可见目标历史，而不会恢复此前文件、进程、环境、凭据或外部副作用。Ralph 把当前工作区作为权威，并且没有跨运行日志。
+- **没有目标反思器**——concern 事件、自动无进展启发式、由独立反思器执行的目标修订、卡住模式检测与 `loop_split` 均未实现。人类可以直接编辑、暂停、清除或恢复目标。
+- **Ralph 策略仍然狭窄**——一个 Round 创建一个全新子 agent；Round 内扇出、评估器/工作者角色分离、动态 provider/模型选择与结构化递归 Ralph 工具禁止都需要独立策略表面。提示词指导不是强制执行。
+- **Ralph 不会重试失败的子 agent**——普通失败会保留失败 Round 与上一份有效交接，而致命工作流基础设施错误可能在该状态可用前结束。重试次数、退避与更丰富的失败传输需要独立的策略与接缝设计。
+- **可移植 UI 仍较朴素**——TUI 与 ACP 渲染纯文本目标状态和通用 Ralph 卡片。系统没有持续状态组件、可重连命令输出、模态目标编辑器，无头 CLI 与 JSON-RPC 前端也没有命令平面。

.agents/notes/implemented/feature/2026-07-17-dedicated-full-screen-tui-front-door.i18n.yaml

@@ -2,5 +2,5 @@
 # side as of the last confirmed-consistent state. Both languages carry equal authority;
 # after editing either side, bring the other along and re-record with:
 #   pnpm run verify-translation-pairing --write
-2026-07-17-dedicated-full-screen-tui-front-door.md: 178b5ea44be67f820a8ea7fed8acb987dffb3f80
-2026-07-17-dedicated-full-screen-tui-front-door.zh.md: ac055bad1b7a692c7a980430fdbd1e34737a9994
+2026-07-17-dedicated-full-screen-tui-front-door.md: 3e2b1e751001020eccc9193438daff23dd42518a
+2026-07-17-dedicated-full-screen-tui-front-door.zh.md: 5f3632f43702e16ca9dec07c0bb8e42bf50499b7

.agents/notes/implemented/feature/2026-07-17-dedicated-full-screen-tui-front-door.md

@@ -6,7 +6,7 @@ English | [中文](2026-07-17-dedicated-full-screen-tui-front-door.zh.md)
 
 ## Problem
 
-The line-oriented `@deepseek-ai/dsh-stdio` front door works in pipes and ordinary terminals, but a full-screen coding interface must own raw input, differential screen drawing, cursor state, overlays, and terminal restoration. Combining those contracts in one UI plugin couples the pipe-safe path to a TTY-only lifecycle and makes it unclear which terminal behavior a composition selects.
+At the time this front door was introduced, the line-oriented agent handled pipes and ordinary terminals, but a full-screen coding interface had to own raw input, differential screen drawing, cursor state, overlays, and terminal restoration. Combining those contracts in one UI plugin would have coupled a stream-oriented path to a TTY-only lifecycle. The later [redundant-agent removal](../simplification/2026-07-20-remove-stdio-and-echo-agents.md) removes that line agent; this Note continues to own the TUI design.
 
 The interactive channel must remain a Cordis plugin over the same agent, session, tool, and user-interaction services as every other front door. It needs to resume durable history, follow compaction replacements, display tool-owned presentation, and restore the terminal on startup failure and disposal. A standalone chat application or a second agent composition would duplicate behavior outside the plugin graph.
 
@@ -14,15 +14,17 @@ The interactive channel must remain a Cordis plugin over the same agent, session
 
 DeepSeek Harness ships [`@deepseek-ai/dsh-tui`](../../../../packages/ui/tui/README.md) as a dedicated Cordis plugin. It owns terminal input and presentation only; agent lifecycle, session persistence, tool execution, and the model-facing question tool remain separate composition entries. The plugin requires both stdin and stdout to be TTYs and fails instead of silently changing to line-oriented behavior.
 
-The app layer selects a concrete terminal front door before mounting it. `@deepseek-ai/dsh-stdio-demo` can resolve `auto` from the two process streams, while the `repl-agent` and `tui-agent` leaves explicitly select readline and TUI respectively. The TUI leaf reuses the repl-agent backend and tool composition through an asserted include patch, so the three runnable agent leaves remain symmetric without duplicating deployment choices.
+The app layer has one terminal front door. `@deepseek-ai/dsh-tui-demo` mounts the TUI before the configured agent, and `examples/tui-agent` owns the interactive coding composition and Code Mode overlay directly. Non-interactive tasks use `@deepseek-ai/dsh-cli-demo`; ACP remains a separate editor protocol.
 
 The selected front door receives the exact generated or resumed `SessionId` used by the pre-created agent. It mounts before the agent composition, waits for the matching root agent, and enters full-screen mode only after that agent exists. A matching `agent-loop/config-start-failed` event is therefore reported before screen takeover and exits with status 1.
 
 ### Session projection and interaction
 
-The TUI rebuilds the transcript from the active `session.surface` and reprojects it whenever an event carries a `surfaceOp`, so resumed and compacted history matches the model-visible conversation. It renders Markdown text and reasoning, token totals, the latest `todo/write` plan, and tool cards produced through each tool definition's `presentCall` and `presentResult` methods. Pending chunks and tool calls update the same components that completed events settle.
+The TUI rebuilds the transcript from the active `session.surface` and reprojects it whenever an event carries a `surfaceOp`, so resumed and compacted history matches the model-visible conversation. It renders Markdown text and reasoning, token totals, the latest `todo/write` plan, and tool cards produced through each tool definition's `presentCall` and `presentResult` methods. Long card bodies retain a configurable head/tail preview with the hidden-line count; one terminal control expands or collapses every card. Pending chunks and tool calls update the same components that completed events settle.
 
-Editor input calls `agent.send()` while idle and `agent.steer()` while a turn is running. Cancellation, reasoning visibility, tool-card expansion, redraw, transcript clearing, and exit are terminal-only controls. The plugin registers the shared `userInteraction` provider and presents questions as queued keyboard overlays; agent behavior and answer logging remain owned by their existing services.
+Editor input calls `agent.send()` while idle and `agent.steer()` while a turn is running. Cancellation, reasoning visibility, tool-card expansion, redraw, transcript clearing, and exit are terminal-only controls. The idle footer derives context occupancy from `tokenMeter` and pairs the selected model with its reasoning state; during a run, elapsed activity and the Escape interrupt hint replace that summary. The plugin registers the shared `userInteraction` provider and presents queued questions in a wide bottom-left keyboard panel with batch progress, numbered options, and aligned descriptions; agent behavior and answer logging remain owned by their existing services.
+
+The `/model` command presents the advisory `ctx.llm` catalog as a keyboard selector and changes only this TUI session's target; argument forms remain available for direct selection. Agent-scoped prompt-assembly and request waterfalls snapshot one provider/model pair per step, so `{{provider}}` / `{{model}}` interpolation and request routing cannot split when a command arrives during assembly. The latest logged request header restores a used target; a selection that never reaches a request remains process-local.
 
 ### Terminal ownership
 
@@ -39,10 +41,12 @@ The implemented [TUI terminal-state snapshot Agent Note](../testing/2026-07-18-t
 - **Keep readline and full-screen modes inside `@deepseek-ai/dsh-stdio`** — rejected because line-oriented output and differential TTY rendering have different dependencies, input rules, logging ownership, and teardown obligations. Separate packages keep the pipe-safe contract small and explicit.
 - **Let the TUI plugin silently downgrade when either stream is not a TTY** — rejected because a fallback hides deployment mistakes and changes interaction semantics. The app bundle may select a front door with `auto`; an explicitly mounted TUI fails loud.
 - **Keep TUI wiring and tests under the readline `repl-agent` leaf** — rejected because one leaf would represent two distinct front doors and break symmetry with `acp-agent`. A dedicated `tui-agent` leaf owns TUI overlays and tests while reusing the repl-agent backend composition.
+- **Mutate `agent.options` when `/model` runs** — rejected because creation options do not provide an atomic boundary between asynchronous prompt assembly and request routing. Agent-scoped waterfalls preserve immutable creation input and snapshot the selected pair for each step.
 
 ## Consequences
 
-- Interactive terminal work gains a stateful Markdown, card, plan, and question interface without changing the line-oriented protocol used by pipes and automation.
-- The TUI carries a pi-tui dependency and a strict TTY requirement; non-TTY deployments select `@deepseek-ai/dsh-stdio` at composition time.
+- Interactive terminal work has a stateful Markdown, card, plan, and question interface with no second terminal protocol to keep aligned.
+- The TUI carries a pi-tui dependency and a strict TTY requirement; non-TTY deployments use the Headless app or a structured protocol.
 - Session projection makes resume and compaction consistent with the durable conversation, but one configured session owns the transcript and editor.
 - Tool packages extend terminal cards through their existing presentation methods without adding tool-specific branches to the TUI.
+- Model selection uses adapter-advertised metadata without turning catalog membership into request validation; unused selections are not durable state.

.agents/notes/implemented/feature/2026-07-17-dedicated-full-screen-tui-front-door.zh.md

@@ -6,7 +6,7 @@ Status: implemented
 
 ## 问题
 
-逐行输出的 `@deepseek-ai/dsh-stdio` 入口适用于管道和普通终端，但全屏编码界面必须负责原始输入、差分绘制、光标状态、浮层和终端恢复。把这两类契约合并到一个 UI 插件中，会迫使管道安全路径依赖仅适用于 TTY 的生命周期，也使组合无法明确表达所选终端行为。
+在本入口引入时，面向行的 agent 负责 pipe 与普通终端，但全屏 coding 界面必须负责原始输入、差分绘制、光标状态、浮层和终端恢复。把这两类契约合并到一个 UI 插件中，会迫使面向 stream 的路径依赖仅适用于 TTY 的生命周期。后续的[移除重复 agent 决策](../simplification/2026-07-20-remove-stdio-and-echo-agents.md)移除了这个面向行 agent；本 Note 继续负责 TUI 设计。
 
 交互通道必须继续作为 Cordis 插件，使用与其他入口相同的 agent（智能体）、会话、工具和用户交互服务。它需要恢复持久历史、跟随压缩替换、显示工具自有的呈现内容，并在启动失败和资源释放时恢复终端。独立聊天应用或第二套 agent 组合会在插件图之外重复实现这些行为。
 
@@ -14,15 +14,17 @@ Status: implemented
 
 DeepSeek Harness 将 [`@deepseek-ai/dsh-tui`](../../../../packages/ui/tui/README.md) 作为独立的 Cordis 插件交付。该插件只负责终端输入与呈现；agent 生命周期、会话持久化、工具执行以及模型可见的提问工具仍由不同组合项负责。插件要求 stdin 和 stdout 均为 TTY；条件不满足时会失败，不会静默切换为逐行输出。
 
-应用组合层在挂载前选择具体的终端入口。`@deepseek-ai/dsh-stdio-demo` 可以根据两个进程流通过 `auto` 作出选择，`repl-agent` 和 `tui-agent` 叶节点则分别明确选择 readline 与 TUI。TUI 叶节点通过带断言的 include patch 复用 repl-agent 的后端和工具组合，使三个可运行的 agent 叶节点保持对称，同时避免重复部署选项。
+应用组合层只有一个终端入口。`@deepseek-ai/dsh-tui-demo` 在已配置 agent 之前挂载 TUI，`examples/tui-agent` 直接拥有交互式 coding 组装及其 Code Mode overlay。非交互任务使用 `@deepseek-ai/dsh-cli-demo`；ACP 仍是独立的编辑器协议。
 
 所选入口接收预创建 agent 使用的同一个新建或恢复 `SessionId`。入口先于 agent 组合挂载，等待相符的根 agent 出现，然后才进入全屏模式。因此，相符的 `agent-loop/config-start-failed` 事件会在接管屏幕前报告，并以状态码 1 退出。
 
 ### 会话投影与交互
 
-TUI 从活跃的 `session.surface` 重建 transcript（文本记录），并在事件携带 `surfaceOp` 时重新投影，因此恢复或压缩后的历史与模型可见会话保持一致。TUI 渲染 Markdown 文本与推理、token 用量、最新 `todo/write` 计划，以及各工具定义通过 `presentCall` 和 `presentResult` 方法生成的工具卡片。进行中的分片与工具调用会更新同一组组件，随后由完成事件收束状态。
+TUI 从活跃的 `session.surface` 重建 transcript（文本记录），并在事件携带 `surfaceOp` 时重新投影，因此恢复或压缩后的历史与模型可见会话保持一致。TUI 渲染 Markdown 文本与推理、token 用量、最新 `todo/write` 计划，以及各工具定义通过 `presentCall` 和 `presentResult` 方法生成的工具卡片。较长的工具卡片正文会保留可配置的头尾预览，并显示隐藏行数；一个终端控制可以展开或收起全部卡片。进行中的分片与工具调用会更新同一组组件，随后由完成事件收束状态。
 
-agent 空闲时，编辑器输入调用 `agent.send()`；轮次运行中则调用 `agent.steer()`。取消、推理显隐、工具卡片展开、重绘、清空 transcript 和退出都只是终端控制。插件注册共享的 `userInteraction` 提供方，以排队的键盘浮层呈现问题；agent 行为和答案日志仍由既有服务负责。
+agent 空闲时，编辑器输入调用 `agent.send()`；轮次运行中则调用 `agent.steer()`。取消、推理显隐、工具卡片展开、重绘、清空 transcript 和退出都只是终端控制。空闲态页脚根据 `tokenMeter` 得出上下文占用率，并将选中模型及其推理状态组合显示；agent 运行期间，该摘要会替换为带已用时长的活动指示和 Escape 中断提示。插件注册共享的 `userInteraction` 提供方，在左下角宽幅键盘操作面板中呈现排队的问题，面板显示批次进度、带编号的选项和对齐的描述；agent 行为和答案日志仍由既有服务负责。
+
+`/model` 命令将建议性的 `ctx.llm` 目录呈现为键盘选择器，并且只更改当前 TUI 会话的目标；带参数的形式仍可直接选择目标。agent 作用域内的 prompt 组装和请求两条 waterfall（瀑布式事件）会为每个 step 快照一次同一个提供方/模型字段组合，因此即使命令在组装期间到达，`{{provider}}` / `{{model}}` 插值与请求路由也不会分裂。系统通过日志中最新的请求头恢复已经使用过的目标；未被请求使用的选择只保留在当前进程中。
 
 ### 终端所有权
 
@@ -39,10 +41,12 @@ agent 空闲时，编辑器输入调用 `agent.send()`；轮次运行中则调
 - **把 readline 与全屏模式都保留在 `@deepseek-ai/dsh-stdio` 中**：不予采纳，因为逐行输出和差分 TTY 渲染具有不同的依赖、输入规则、日志所有权和资源清理义务。拆分为独立包可以让管道安全契约保持精简、明确。
 - **当任一进程流不是 TTY 时，让 TUI 插件静默降级**：不予采纳，因为回退会掩盖部署错误并改变交互语义。应用包可以通过 `auto` 选择入口；明确挂载的 TUI 会快速失败。
 - **把 TUI 接线与测试保留在 readline `repl-agent` 叶节点下**：不予采纳，因为一个叶节点会代表两个不同入口，也会破坏它与 `acp-agent` 的对称性。独立的 `tui-agent` 叶节点负责 TUI 浮层和测试，同时复用 repl-agent 的后端组合。
+- **在 `/model` 运行时修改 `agent.options`**：不予采纳，因为创建选项无法在异步 prompt 组装与请求路由之间提供原子边界。agent 作用域内的 waterfall 会在保持创建输入不可变的同时，为每个 step 快照一次选中的字段组合。
 
 ## 后果
 
-- 交互式终端获得带状态的 Markdown、卡片、计划和提问界面，同时不会改变管道与自动化使用的逐行协议。
-- TUI 会引入 pi-tui 依赖并严格要求 TTY；非 TTY 部署在组合时选择 `@deepseek-ai/dsh-stdio`。
+- 交互式终端拥有带状态的 Markdown、卡片、计划和提问界面，无需再对齐第二套终端协议。
+- TUI 会引入 pi-tui 依赖并严格要求 TTY；非 TTY 部署使用 Headless app 或结构化协议。
 - 会话投影使恢复和压缩与持久会话保持一致，但只有一个已配置会话拥有 transcript 和编辑器。
 - 工具包通过既有呈现方法扩展终端卡片，无需在 TUI 中增加工具专用分支。
+- 模型选择使用适配器提供的目录元数据，但不会把目录成员关系变成请求校验；未使用的选择不属于持久化状态。

.agents/notes/implemented/feature/2026-07-19-fresh-agent-ralph-workflow-tool.i18n.yaml

@@ -0,0 +1,6 @@
+# Bilingual-pair consistency record (docs/i18n/README.md): the git blob hash of each
+# side as of the last confirmed-consistent state. Both languages carry equal authority;
+# after editing either side, bring the other along and re-record with:
+#   pnpm run verify-translation-pairing --write
+2026-07-19-fresh-agent-ralph-workflow-tool.md: c2db4d7dd30c27a25adecdfc425db261cc3dfeb5
+2026-07-19-fresh-agent-ralph-workflow-tool.zh.md: e33e9848d71c98c8f83494ebe8bf171ef10b9305

.agents/notes/implemented/feature/2026-07-19-fresh-agent-ralph-workflow-tool.md

@@ -0,0 +1,74 @@
+# Agent Note: Fresh-agent Ralph workflow tool
+
+Status: implemented
+
+English | [中文](2026-07-19-fresh-agent-ralph-workflow-tool.zh.md)
+
+## Problem
+
+Same-session goals preserve conversation and let one agent continue a durable objective, while the general workflow tool lets the model write a fan-out orchestration script. Neither is the Ralph pattern: repeatedly give the same objective to a completely fresh worker, use the shared workspace as long-term memory, and carry only a small explicit handoff until work completes or a limit is reached.
+
+Adding Ralph behavior to `dsh-agent-loop`, the goal driver, or the public model-written workflow language would couple one policy to unrelated execution machinery. Letting each child inherit the parent conversation would also defeat context reset and make replay depend on a growing implicit prefix. The feature needs a fixed, reviewable policy built from existing plugin primitives, with cancellation quiescence, bounded cross-round data, a generous configurable cap, and no novel human-facing goal state.
+
+## Decision
+
+Add `@deepseek-ai/dsh-tool-ralph` as a separate consumer package under `packages/workflow/`. It registers `ralph({ objective, maxRounds? })`, owns a fixed workflow script, and depends only on `ctx.tools`, `ctx.systemPrompt`, `ctx.workflows`, and `ctx.subagents`. A Ralph run is not a session goal, creates no goal state, and requires no branch in the concrete agent loop.
+
+The tool is foreground-only. The calling agent parents every child for cwd and lineage, the parent tool call waits for the complete run, and the parent step's abort signal cancels the workflow. `run.dispose()` is awaited on every path, so cancellation reaches the worker engine's bounded settlement and child quiescence before the call returns.
+
+### Per-run workflow provider route
+
+`WorkflowStartRequest` gains optional `subagentProvider`. The worker-thread engine resolves that explicit per-run value before falling back to its configured provider, requires the selected normalized route to be registered before publishing the run, and uses it for every `agent()` call. The script cannot observe or replace this route. The ordinary `workflow` tool leaves the field unset and exposes no new model argument, so general workflow behavior and provider policy stay unchanged.
+
+The Ralph plugin's `subagentProvider` defaults to `spawn`. Immediately before a call it requires the named provider to exist, support structured output, and report `inheritsParentContext: false`; a fork-like or incapable provider fails loudly before workflow start. Provider lookup remains call-time because effect-scoped provider registration can change under HMR.
+
+### Per-run workflow child ceiling
+
+`WorkflowStartRequest` also gains optional `maxTotalAgents`. The worker-thread engine requires a positive safe integer no greater than its configured deployment ceiling and installs the resolved value in that run's worker limits before publishing the run. Ralph passes its resolved `maxRounds` as this ceiling, so the fixed loop's round budget and the generic runaway-child backstop cannot disagree. The ordinary workflow tool leaves the field unset and keeps the engine default.
+
+### Ralph rounds and handoff
+
+The hierarchy is Ralph Run → Ralph Round → fresh child Turn → Step. One Ralph round creates exactly one child through the selected provider. Spawn gives that child a distinct session with no seed while preserving the parent's cwd, so the shared working tree is the durable authority and neither parent conversation nor prior child history enters the request.
+
+The fixed prompt passes only the immutable objective, current round and cap, a workspace-as-authority instruction, and the previous structured report. A `RalphRoundReport` contains `status: continue | complete | blocked`, `summary`, `evidence`, `nextSteps`, and `blocker`. Strings must be normalized; `continue` requires next steps and no blocker, `complete` requires evidence with no next steps or blocker, and `blocked` requires a concrete blocker. The script validates semantics and serialized size before the report can become the next handoff; the consumer validates the materialized terminal value again across the workflow seam.
+
+`maxRounds` defaults to `256` and is also the deployment ceiling for a call override. `maxHandoffChars` and `maxResultChars` each default to `16384`. All are positive safe-integer config values. Oversized handoffs fail rather than being silently truncated; `maxResultChars` separately bounds the complete successful parent-facing text, including its envelope and truncation marker, without changing cross-round state. After a `continue` report at the last permitted round, the fixed script returns `budget-limited`; `complete` and `blocked` return immediately with the final report and number of rounds started.
+
+The workflow language maps a normally settled but unsuccessful child to `null`. The fixed script detects that value before report validation and returns `round-failed` with the failed round plus the last successful handoff when one exists; the tool turns it into an error instead of misclassifying it as a malformed report or budget exhaustion. Ralph adds no retry policy. Fatal provider-start, transport, worker, and workflow errors remain generic workflow failures because the workflow seam does not carry a recoverable child report on those paths.
+
+### Model and UI surface
+
+The model may supply only `objective` and optional `maxRounds`; provider selection, report schema, handoff cap, and script are deployment-owned. A fixed prompt section says to use `ralph` only when the direct human explicitly asks for Ralph or fresh-agent iteration, and distinguishes it from same-session goals, bounded delegation, and general fan-out workflows. This is guidance rather than a new goal UX state machine.
+
+ACP and terminal presentation use a generic `ralph` card whose raw input is the objective. Successful completion and blocker envelopes say that a worker reported the outcome rather than presenting it as independent certification. The parent transcript retains the original tool call and one bounded successful terminal report or an error, not intermediate child messages. Shipped headless, TUI, and ACP compositions load the plugin beside the existing workflow engine; JSON-RPC remains unchanged because its default composition does not expose workflows.
+
+## Testing
+
+Unit tests cover config and call-cap resolution, provider capability rejection, fixed start-request routing and child ceiling, all successful terminal outcomes, ordinary child-failure envelopes, malformed and oversized boundary values, exact successful-result truncation, abort timing, disposal, render intent, prompt lifecycle, and namespace-plugin shape at per-file 100% coverage. Worker-engine tests prove synchronous provider-route validation, per-run child ceilings below the deployment ceiling, and that a provider override selects every child without changing the configured default, including the built `lib/worker.cjs` under plain Node.
+
+A keyless real-stack integration drives the fixed script through the actual worker-thread engine, spawn provider, structured-output runtime, and agent loop. It proves distinct child identities, absent `seedLength`, inherited cwd, no parent-history markers in either child request, exact previous-report handoff only in the following round, one phase event, terminal completion, and disposal of both children. The same real stack covers blocker and round-limit outcomes, unnormalized and semantically invalid reports, oversized handoffs, ordinary child failure with the last good handoff, and cancellation to child quiescence. A shipped keyless headless snapshot additionally boots the real `examples/headless-agent` composition, invokes `ralph`, pins the parent stream transcript, and inspects persisted logs for two distinct unseeded child sessions and the round-one handoff appearing only in round two. Tool tests pin generic call/result presentation, while ACP replay header snapshots pin the shipped schema and prompt-guidance transcript surface.
+
+## Alternatives considered
+
+- **Put Ralph in the same-session goal driver** — rejected because goal rounds intentionally preserve one conversation, while Ralph's defining property is a fresh context per round; combining them would make goal lifecycle and child orchestration inseparable.
+- **Expose a `fresh` or loop flag on the general workflow tool** — rejected because the model-written script surface should remain general and provider-neutral; Ralph's fixed report protocol and stop policy deserve one reviewable consumer.
+- **Use `subagent_fork` for replay convenience** — rejected because inherited completed turns are implicit, growing handoff state and violate the fresh-context contract. The workspace plus one structured report is replayable without inserting artificial cancellation records.
+- **Call the subagent seam directly from the tool** — rejected because the existing workflow engine already owns foreground orchestration, structured children, cancellation propagation, worker termination, events, and quiescent disposal. Reusing it demonstrates plugin composition instead of building a second loop runtime.
+- **Silently truncate a large report** — rejected because truncation can remove status evidence or next steps while still looking like an authoritative handoff. A producer must emit a valid report within the configured bound.
+
+## Consequences
+
+- Fresh-agent iteration is a first-class model tool implemented entirely as a removable plugin over existing seams.
+- Goal rounds and Ralph rounds stay different concepts: the former is one same-session continuation turn, while the latter is one fresh child inside a foreground workflow.
+- The workspace becomes authoritative cross-round memory, so workers must inspect and verify it rather than trusting a narrative handoff.
+- A generous round ceiling permits substantial autonomous work, while deployment config still bounds child count and every handoff remains size-limited.
+- Provider routing and a lowerable per-run child ceiling become explicit workflow start concerns without expanding the script or ordinary workflow tool surface.
+
+## Known limitations and deferred work
+
+- Completion and blocker status are worker self-declarations. An independent evaluator, evaluator-driven feedback round, completion certificate, or adversarial verifier is intentionally deferred.
+- Runs are foreground and process-local. Background collection, persistence/resume, scheduling, and restart recovery are absent.
+- Round count is the only aggregate budget. Token, currency, elapsed-time, and provider-usage budgets remain separate future policy.
+- One round creates one child. Within-round fan-out, evaluator/worker role separation, dynamic provider or model selection, and cross-run journals are deferred.
+- An ordinary child failure ends the run without retry, while preserving the failed round and last successful handoff. Fatal workflow infrastructure failures can end before the fixed script returns that state; adding retry or richer failure transport requires separate policy and seam design.
+- Prompt guidance asks models not to invoke Ralph recursively; a structural child-tool restriction would require a separately designed workflow child-policy surface.

.agents/notes/implemented/feature/2026-07-19-fresh-agent-ralph-workflow-tool.zh.md

@@ -0,0 +1,74 @@
+# Agent Note: 全新 agent Ralph 工作流工具
+
+Status: implemented
+
+[English](2026-07-19-fresh-agent-ralph-workflow-tool.md) | 中文
+
+## 问题
+
+同会话目标会保留对话，让一个 agent 持续完成持久目标；通用工作流工具则让模型编写扇出编排脚本。两者都不是 Ralph 模式：把同一目标反复交给完全全新的工作者，以共享工作区作为长期记忆，并且在各轮之间只传递一份小型显式交接，直到工作完成或触及限制。
+
+如果把 Ralph 行为加入 `dsh-agent-loop`、目标驱动器或面向模型的公开工作流语言，就会让一项策略与无关的执行机制耦合。让每个子 agent 继承父对话也会破坏上下文重置，并让重放依赖不断增长的隐式前缀。此功能需要一项由现有插件原语组合而成的固定、可评审策略，同时具备取消静止性、有界跨轮数据、宽裕且可配置的上限，并且不引入新颖的面向人类目标状态。
+
+## 决策
+
+在 `packages/workflow/` 下新增独立消费者包 `@deepseek-ai/dsh-tool-ralph`。它注册 `ralph({ objective, maxRounds? })`，拥有固定工作流脚本，并且只依赖 `ctx.tools`、`ctx.systemPrompt`、`ctx.workflows` 和 `ctx.subagents`。Ralph 运行不是会话目标，不会创建目标状态，也不要求在具体 agent loop 中增加分支。
+
+该工具仅以前台方式运行。调用 agent 作为每个子 agent 的父级以提供 cwd 和谱系，父工具调用等待整次运行结束，父步骤的中止信号会取消工作流。每条路径都会等待 `run.dispose()`，因此调用返回前，取消会经过工作流引擎的有界收敛并达到子 agent 静止状态。
+
+### 每次运行的工作流 provider 路由
+
+`WorkflowStartRequest` 新增可选的 `subagentProvider`。工作线程引擎先解析这个显式的每次运行值，再回退到引擎配置的 provider；在发布运行前，它要求所选规范化路由已注册，并把结果用于每次 `agent()` 调用。脚本无法观察或替换此路由。普通 `workflow` 工具不设置该字段，也不暴露新的模型参数，因此通用工作流行为和 provider 策略保持不变。
+
+Ralph 插件的 `subagentProvider` 默认为 `spawn`。每次调用前，它要求具名 provider 已存在、支持结构化输出且报告 `inheritsParentContext: false`；类似 fork 或能力不足的 provider 会在工作流启动前响亮失败。provider 查找保留在调用期，因为效果作用域内的 provider 注册可能随 HMR 改变。
+
+### 每次运行的工作流子 agent 上限
+
+`WorkflowStartRequest` 还新增可选的 `maxTotalAgents`。工作线程引擎要求它是正安全整数且不高于已配置的部署上限，并在发布运行前把解析值装入该运行的工作线程限制。Ralph 把解析后的 `maxRounds` 作为此上限，因此固定循环的轮次预算不会与通用失控子 agent 后备限制冲突。普通工作流工具不设置该字段并保留引擎默认值。
+
+### Ralph 轮次与交接
+
+层级为 Ralph 运行 → Ralph 轮次 → 全新子 agent 回合 → 步骤。每个 Ralph 轮次恰好通过所选 provider 创建一个子 agent。Spawn 给该子 agent 一个没有种子的独立会话，同时保留父级 cwd，因此共享工作树是持久权威，父对话和先前子 agent 历史都不会进入请求。
+
+固定提示只传递不可变目标、当前轮次与上限、以工作区为权威的指令，以及上一份结构化报告。`RalphRoundReport` 包含 `status: continue | complete | blocked`、`summary`、`evidence`、`nextSteps` 和 `blocker`。字符串必须规范化；`continue` 要求存在下一步且没有阻塞项，`complete` 要求存在证据且没有下一步或阻塞项，`blocked` 要求具体阻塞项。报告成为下一次交接前，脚本会验证语义与序列化大小；消费者还会跨工作流接缝再次验证实体化的终止值。
+
+`maxRounds` 默认为 `256`，同时也是调用覆盖值的部署上限。`maxHandoffChars` 和 `maxResultChars` 均默认为 `16384`。三者都是正安全整数配置值。过大的交接会失败，而不会被静默截断；`maxResultChars` 单独限制面向父级的完整成功文本，包括外层文本和截断标记，并且不会改变跨轮状态。最后一个允许轮次报告 `continue` 后，固定脚本返回 `budget-limited`；`complete` 和 `blocked` 会立即返回最终报告与已启动轮次数。
+
+工作流语言会把正常结束但未成功的子 agent 映射为 `null`。固定脚本会在报告验证前检测该值，并返回 `round-failed`，其中包含失败轮次，以及存在时的上一份成功交接；工具会把它转成错误，而不会误判为畸形报告或预算耗尽。Ralph 不添加重试策略。致命的 provider 启动、传输、工作线程和工作流错误仍是通用工作流失败，因为这些路径上的工作流接缝不携带可恢复的子报告。
+
+### 模型与 UI 表面
+
+模型只能提供 `objective` 和可选的 `maxRounds`；provider 选择、报告 schema、交接上限和脚本都由部署拥有。固定提示区段说明，只有直接人类明确要求 Ralph 或全新 agent 迭代时才使用 `ralph`，并将其与同会话目标、有界委派和通用扇出工作流区分开。这是指导，而不是新的目标 UX 状态机。
+
+ACP 和终端展示使用通用 `ralph` 卡片，并把目标作为原始输入。成功完成与阻塞的外层文本会说明结果由工作者报告，而不会把它呈现为独立认证。父转录只保留原始工具调用，以及一份有界成功终止报告或一个错误，不包含中间子 agent 消息。发布的无头、TUI 与 ACP 组合会在现有工作流引擎旁加载该插件；JSON-RPC 保持不变，因为其默认组合不暴露工作流。
+
+## 测试
+
+单元测试覆盖配置与调用上限解析、provider 能力拒绝、固定启动请求路由与子 agent 上限、全部成功终止结果、普通子 agent 失败外层值、畸形及过大边界值、成功结果精确截断、中止时序、处置、渲染意图、提示生命周期和命名空间插件形状，并达到逐文件 100% 覆盖率。工作流引擎测试证明 provider 路由会同步验证、每次运行的子 agent 上限可低于部署上限，并且 provider 覆盖会选择每个子 agent 且不改变配置默认值，其中包括普通 Node 下构建后的 `lib/worker.cjs`。
+
+一项无密钥真实栈集成测试通过实际工作线程引擎、spawn provider、结构化输出运行时和 agent loop 驱动固定脚本。它证明子 agent 标识不同、没有 `seedLength`、继承 cwd、两个子请求都不含父历史标记、上一份报告只精确出现在下一轮交接中、只产生一个阶段事件、终止完成以及两个子 agent 都被处置。同一真实栈还覆盖阻塞与轮次上限结果、未规范化及语义无效报告、过大交接、保留上一份有效交接的普通子 agent 失败，以及取消后达到子 agent 静止状态。一项已发布的无密钥无头快照还会启动真实的 `examples/headless-agent` 组合、调用 `ralph`、固定父级流式转录，并检查持久化日志中存在两个不同且无种子的子会话，且第一轮交接只出现在第二轮。工具测试固定通用调用/结果展示，而 ACP 重放请求头快照固定发布的 schema 与提示指导转录表面。
+
+## 考虑过的替代方案
+
+- **把 Ralph 放进同会话目标驱动器** — 拒绝，因为目标轮次有意保留同一段对话，而 Ralph 的定义性属性是每轮使用全新上下文；合并两者会让目标生命周期与子 agent 编排无法分离。
+- **在通用工作流工具上暴露 `fresh` 或循环标志** — 拒绝，因为模型编写的脚本表面应保持通用且与 provider 无关；Ralph 的固定报告协议和停止策略值得拥有一个可评审消费者。
+- **为了方便重放而使用 `subagent_fork`** — 拒绝，因为继承的已完成回合是隐式、不断增长的交接状态，并违反全新上下文契约。工作区加一份结构化报告即可重放，无需插入人为取消记录。
+- **让工具直接调用 subagent 接缝** — 拒绝，因为现有工作流引擎已经拥有前台编排、结构化子 agent、取消传播、工作线程终止、事件和静止处置。复用它可以展示插件组合，而不是构建第二个循环运行时。
+- **静默截断大型报告** — 拒绝，因为截断可能删除状态证据或下一步，却仍看似权威交接。生产者必须在配置边界内发出有效报告。
+
+## 后果
+
+- 全新 agent 迭代成为一项一等模型工具，并完全以现有接缝之上的可移除插件实现。
+- 目标轮次与 Ralph 轮次保持不同概念：前者是一次同会话续行回合，后者是前台工作流中的一个全新子 agent。
+- 工作区成为权威跨轮记忆，因此工作者必须检查和验证工作区，而不能信任叙事性交接。
+- 宽裕的轮次上限允许大量自治工作，而部署配置仍会限制子 agent 数量，并且每次交接始终受大小约束。
+- provider 路由与可降低的每次运行子 agent 上限成为显式的工作流启动关注点，但不扩展脚本或普通工作流工具表面。
+
+## 已知限制与推迟工作
+
+- 完成与阻塞状态由工作者自行声明。独立 evaluator、evaluator 驱动的反馈轮次、完成证书或对抗式 verifier 被有意推迟。
+- 运行位于前台且只存在于进程内。后台收集、持久化/恢复、调度和重启恢复均不存在。
+- 轮次数是唯一聚合预算。token、货币、耗时和 provider 用量预算仍属于未来的独立策略。
+- 每轮创建一个子 agent。轮内扇出、evaluator/工作者角色分离、动态 provider 或模型选择，以及跨运行日志均被推迟。
+- 普通子 agent 失败会结束运行且不重试，同时保留失败轮次与上一份成功交接。致命工作流基础设施错误可能在固定脚本返回该状态前结束；增加重试或更丰富的失败传输需要独立的策略与接缝设计。
+- 提示指导模型不要递归调用 Ralph；结构化的子 agent 工具限制需要另行设计工作流子策略表面。

.agents/notes/implemented/feature/2026-07-19-human-goal-command.i18n.yaml

@@ -0,0 +1,6 @@
+# Bilingual-pair consistency record (docs/i18n/README.md): the git blob hash of each
+# side as of the last confirmed-consistent state. Both languages carry equal authority;
+# after editing either side, bring the other along and re-record with:
+#   pnpm run verify-translation-pairing --write
+2026-07-19-human-goal-command.md: a272206a3bfad50a01ce871c56c7e7bcf924684e
+2026-07-19-human-goal-command.zh.md: 370c9bc24510320c70e3d789926c492e543968b1

.agents/notes/implemented/feature/2026-07-19-human-goal-command.md

@@ -0,0 +1,72 @@
+# Agent Note: Human `/goal` command
+
+Status: implemented
+
+English | [中文](2026-07-19-human-goal-command.zh.md)
+
+## Problem
+
+The same-session goal domain and model tools provide the state machine and semantic natural-language path, but they are not a sufficient human UX. A user needs to inspect the exact current phase and round budget without asking the model, explicitly pause or clear work without spending a model turn, and rearm a restored active goal after the required post-resume human decision. Implementing those actions independently in TUI and ACP would duplicate parsing, let the surfaces drift, and risk routing an unknown or unavailable command into the model.
+
+The command must also respect the goal design's two kinds of state. Durable phase, objective, revisions, and rounds come from the session log; process-local activation decides whether an active goal may continue automatically. Showing only “active” after a resume would be misleading when the restored goal is intentionally disarmed and waiting for human authorization.
+
+## Decision
+
+`@deepseek-ai/dsh-command-goal` in `packages/goal/command-goal/` is a command producer over `ctx.commands` and `ctx.goals`. It registers one global `goal` definition, so every command adapter in the composition discovers the same command; an incompatible app omits this producer rather than masking its registration at an adapter. The handler receives the exact target agent from command dispatch, reads or mutates that agent's goal through the domain service, and returns direct plain-text UI output. It does not import either adapter or the concrete agent loop.
+
+The command 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): bare status, a free-form objective, and `clear`, `edit`, `pause`, or `resume` controls. The commit permalink makes the researched grammar durable even as Codex evolves. This repository keeps its own event-sourced state, round-count policy, and post-resume activation rule rather than copying Codex's SQLite, token budget, or automatic-resume behavior.
+
+### Grammar and lifecycle verbs
+
+`/goal` reports the objective, human-readable durable phase, `roundsStarted/maxGoalRounds`, process-local `armed` or `disarmed` activation, and commands meaningful from that state. With no current goal it reports that fact plus complete usage. Reading status adds no session event.
+
+`/goal <objective>` creates an active armed goal. A completed goal may be replaced, which creates a fresh goal identity through the existing domain rule. Any unfinished goal makes the command fail directly with instructions to use inline edit or explicit clear. The generic command service deliberately has no modal confirmation API, so silently clearing and creating two durable records would manufacture destructive consent and expose a non-atomic failure window.
+
+`/goal edit <objective>` edits the current non-complete goal without changing phase or activation. On a completed goal it creates a fresh active goal because the domain does not permit completed state to resume and a new completion objective is a new goal identity. Bare `edit` is an error rather than an editor launch because ACP's shared unstructured command contract has no portable modal editor.
+
+`/goal pause`, `/goal resume`, and `/goal clear` call the matching compare-and-set domain verbs against the current view. Resume covers both stopped durable phases and an active-but-disarmed goal after session resume, fork, or driver replacement. Domain rules still reject exhausted round caps, redundant active/armed resume, invalid phase transitions, and stale identity. Clear removes the current pointer while the session log retains the revisioned tombstone and earlier snapshots.
+
+Control words are ASCII-case-insensitive after outer whitespace trimming. They are controls only when they occupy the full suffix; any other non-empty text is an objective. This matches the predictable free-form command rule: `/goal pause after verification` is a goal objective, not a partially parsed pause command.
+
+### Output and failure boundary
+
+Status output omits branded ids and compare-and-set revisions because those are model/plugin coordination details rather than human controls. It includes activation because that fact changes whether work will continue, and a blocked goal includes its durable policy code and human-readable explanation. Command hints are derived from the exact state: an armed active goal offers pause, a disarmed active or paused/blocked goal offers resume, and a completed goal offers replacement or clear.
+
+Expected `GoalError` failures become one stable, branded-id-free `CommandResult.error`, so domain diagnostics do not leak compare-and-set internals into the human surface and invalid operations never enter model history. The current status supplies the actionable state-specific recovery. Other exceptions remain adapter-visible command failures; treating programmer faults as ordinary domain errors would hide defects. The command handler performs only synchronous domain mutations, so request cancellation is decided by the command registry before the mutation begins and there is no escaped asynchronous side effect to unwind.
+
+Generic slash input, status text, and errors are not persisted. Successful goal mutations use the existing `Agent.inject()` path, producing the raw model-visible goal snapshot or clear tombstone that persistence already owns. The command therefore changes no session format and introduces no second audit record that could disagree with the domain event.
+
+### App composition
+
+`agent-spine-demo` accepts an optional `goals` composition object containing the goal-domain and model-tool owner configs. Omission or `false` leaves the stack unmounted. This explicit opt-in is important for headless one-shot callers: their result API settles one correlated physical turn and must not silently become a long-running logical goal operation.
+
+The interactive app bundles make the opposite product choice. ACP and TUI default `goals` to the owner defaults and mount the goal domain, model tools, same-session driver, command registry, and this producer. Both apps accept `goals: false` as one coherent stack opt-out. The Python SDK runtime closure ships this producer alongside ACP, commands, and the goal stack so an external `cordis.yml` can compose the same command.
+
+## Testing
+
+The producer suite uses the real command registry, goal service, agent registry, and session log. It covers Loader-safe exports, registry discovery, disposal, empty status, objective parsing, unfinished replacement refusal, inline edit, completed replacement, all missing-state controls, pause/resume/clear, every durable phase, blocked code/explanation presentation, armed/disarmed presentation, sanitized domain errors, unexpected failures, and persisted mutation records. App composition tests cover explicit spine opt-in, TUI/ACP defaults, coherent opt-out, forwarded domain/tool config, command discovery, the packaged-runtime closure, and the expanded model-tool assembly. A keyless snapshot boots the shipped ACP application, observes its advertised `/goal` metadata, invokes `/goal` directly, and pins the no-model-turn result; the surrounding ACP snapshots also pin the goal tool schemas in that composition.
+
+## Alternatives considered
+
+- **Let the model handle `/goal` as ordinary text** — rejected because status and direct lifecycle actions would cost a model turn, could be reinterpreted, and would not provide deterministic ACP discovery.
+- **Implement separate TUI and ACP handlers** — rejected because grammar, error behavior, and goal-state formatting would drift and optional deployments could not add or remove the capability as one effect.
+- **Add modal editing and replacement confirmation to `ctx.commands`** — rejected because the existing cross-surface contract is unstructured input plus direct output; a general interaction protocol needs more than this one producer.
+- **Silently replace an unfinished goal** — rejected because it combines clear and create without atomicity or explicit destructive intent.
+- **Expose goal id and revision in human status** — rejected because human actions always target the exact current view inside one synchronous handler; those fields add implementation noise without preventing another race.
+- **Enable goals unconditionally in the UI-less spine** — rejected because one-shot SDK/CLI settlement is a physical-turn API, not a goal-operation API.
+
+## Consequences
+
+- TUI and ACP expose one Codex-shaped `/goal` command supplied by a removable plugin.
+- Human status distinguishes durable phase from live activation and reports the exact goal-round cap.
+- Direct pause, resume, clear, creation, and edit consume no model turn while their accepted mutations remain reconstructable from the session log.
+- Restored sessions wait for a human decision; `/goal resume` is the literal command path, while an ordinary prompt in any language may authorize the model tool path.
+- Headless compositions retain one-turn behavior unless they explicitly opt into goals and define their own long-running settlement contract.
+
+## Known limitations and deferred work
+
+- The portable command contract has no modal editor or confirmation interaction; inline edit and explicit clear are intentional until a general cross-surface interaction primitive exists.
+- `/goal` does not accept a per-command round cap. Deployment config owns the default, and the authorized model tool can edit a cap after direct human instruction.
+- TUI and ACP render portable plain text rather than a continuously updated goal status widget. Reconnectable command output and adapter-specific status indicators are deferred.
+- The headless CLI and JSON-RPC front doors do not consume the command registry.
+- The command observes and mutates state but does not certify completion or blockers. Evaluator-backed certification remains deferred to a separate policy layer with an explicit authority and isolation contract.

.agents/notes/implemented/feature/2026-07-19-human-goal-command.zh.md

@@ -0,0 +1,72 @@
+# Agent Note: 面向人类的 `/goal` 命令
+
+Status: implemented
+
+[English](2026-07-19-human-goal-command.md) | 中文
+
+## 问题
+
+同会话目标领域和模型工具提供了状态机与自然语言语义路径，但尚不足以构成面向人类的 UX。用户需要在不询问模型的情况下检查准确的当前阶段与回合预算，在不消耗模型轮次的情况下明确暂停或清除工作，并在会话恢复后经过必要的人类决策重新激活已恢复的活跃目标。若在 TUI 与 ACP 中分别实现这些操作，就会重复解析逻辑、导致两个表面发生偏差，还可能把未知或不可用的命令交给模型处理。
+
+该命令还必须遵守目标设计中的两类状态。持久阶段、目标描述、修订号与回合来自会话日志；进程本地激活态决定活跃目标能否自动继续。恢复后若只显示“活跃”，就会掩盖目标已被有意设为未激活、正在等待人类授权这一事实。
+
+## 决策
+
+位于 `packages/goal/command-goal/` 的 `@deepseek-ai/dsh-command-goal` 是构建在 `ctx.commands` 与 `ctx.goals` 之上的命令生产方。它注册一个全局 `goal` 定义，因此组合中的每个命令适配器都会发现同一个命令；不兼容的应用应省略该生产方，而不是在适配器处屏蔽其注册。处理器从命令分发接收准确的目标 agent（智能体），通过领域服务读取或改变该 agent 的目标，并返回直接的纯文本 UI 输出。它不导入任何适配器或具体 agent loop（智能体循环）。
+
+该命令遵循 [OpenAI Codex 公共仓库 `678157a` 提交中的 TUI 分发实现](https://github.com/openai/codex/blob/678157acaa819d5510adfe359abb5d0392cfe461/codex-rs/tui/src/chatwidget/slash_dispatch.rs#L750-L805)所呈现的紧凑形态：无参数状态查询、自由形式目标描述，以及 `clear`、`edit`、`pause` 或 `resume` 控制。固定到提交的链接使调研所得语法在 Codex 后续演进时仍可核验。本仓库保留自身的事件溯源状态、回合计数策略与恢复后激活规则，而不复制 Codex 的 SQLite、token 预算或自动恢复行为。
+
+### 语法与生命周期动词
+
+`/goal` 报告目标描述、面向人类的持久阶段、`roundsStarted/maxGoalRounds`、进程本地 `armed` 或 `disarmed` 激活态，以及当前状态下有意义的命令。没有当前目标时，它会报告该事实与完整用法。读取状态不会添加会话事件。
+
+`/goal <objective>` 创建活跃且已激活的目标。已完成目标可以被替换，此时通过现有领域规则创建新的目标身份。任何未完成目标都会让命令直接失败，并提示用户使用行内编辑或明确清除。通用命令服务有意不提供模态确认 API；若静默执行清除再创建两条持久记录，就等于凭空制造破坏性同意，并暴露一个非原子的失败窗口。
+
+`/goal edit <objective>` 编辑当前未完成目标，但不改变其阶段或激活态。若目标已经完成，则创建一个新的活跃目标，因为领域不允许恢复已完成状态，而新的完成条件应拥有新的目标身份。单独使用 `edit` 会返回错误而不是启动编辑器，因为 ACP 共享的非结构化命令契约没有可移植的模态编辑器。
+
+`/goal pause`、`/goal resume` 与 `/goal clear` 使用当前视图调用相应的比较并交换领域动词。恢复既适用于停止的持久阶段，也适用于会话恢复、fork 或驱动器替换后处于活跃但未激活状态的目标。领域规则仍会拒绝已耗尽的回合上限、对已活跃且已激活目标的重复恢复、非法阶段转换与陈旧身份。清除会移除当前指针，而会话日志保留带修订号的墓碑和此前快照。
+
+控制词会在去除两端空白后按 ASCII 大小写不敏感方式匹配。只有占据完整后缀时才被视为控制；其余任何非空文本都是目标描述。这保持了可预测的自由形式命令规则：`/goal pause after verification` 是目标描述，而不是被部分解析的暂停命令。
+
+### 输出与失败边界
+
+状态输出省略品牌化 id 与比较并交换修订号，因为它们属于模型/插件协调细节，而不是人类控制项。输出包含激活态，因为该事实会改变工作是否继续；被阻塞的目标还会包含其持久策略代码和面向人类的说明。命令提示从准确状态派生：已激活的活跃目标提供暂停，未激活的活跃目标或已暂停/被阻塞目标提供恢复，已完成目标则提供替换或清除。
+
+预期的 `GoalError` 失败会变为一个稳定且不含品牌化 id 的 `CommandResult.error`，使领域诊断不会向人类表面泄露比较并交换内部细节，非法操作也绝不会进入模型历史。当前状态负责提供针对具体状态且可执行的恢复路径。其他异常仍是适配器可见的命令失败；若把程序缺陷当成普通领域错误，就会隐藏问题。命令处理器只执行同步领域变更，因此请求取消会在变更开始前由命令注册表决定，不存在需要回滚的外逸异步副作用。
+
+通用斜杠输入、状态文本与错误不会持久化。成功的目标变更使用现有 `Agent.inject()` 路径，产出持久化本就拥有的原始模型可见目标快照或清除墓碑。因此该命令不会改变会话格式，也不会引入可能与领域事件不一致的第二份审计记录。
+
+### 应用组合
+
+`agent-spine-demo` 接受可选的 `goals` 组合对象，其中包含目标领域与模型工具的所有者配置。省略或设为 `false` 时不会挂载该栈。对无头单次调用方而言，明确选择加入非常重要：它们的结果 API 会在一个相关物理轮次后结束，不能静默变成长时间运行的逻辑目标操作。
+
+交互式应用包作出相反的产品选择。ACP 与 TUI 默认让 `goals` 使用所有者默认值，并挂载目标领域、模型工具、同会话驱动器、命令注册表与本生产方。两个应用都接受 `goals: false` 作为一致的整体退出选项。Python SDK 运行时闭包把本生产方与 ACP、命令及目标栈一并交付，使外部 `cordis.yml` 能组合相同命令。
+
+## 测试
+
+生产方测试套件使用真实命令注册表、目标服务、agent 注册表与会话日志。它覆盖 Loader 安全导出、注册表发现、资源释放、空状态、目标描述解析、拒绝未完成目标替换、行内编辑、已完成目标替换、所有缺失状态控制、暂停/恢复/清除、每个持久阶段、阻塞代码/说明展示、已激活/未激活展示、经净化的领域错误、意外失败与持久变更记录。应用组合测试覆盖显式主干选择加入、TUI/ACP 默认值、一致退出、转发的领域/工具配置、命令发现、打包运行时闭包与扩展后的模型工具组装。一个无密钥快照会启动交付的 ACP 应用，观察其公布的 `/goal` 元数据，直接调用 `/goal`，并固定不经过模型轮次的结果；周边 ACP 快照还会固定该组合中的目标工具 schema。
+
+## 考虑过的替代方案
+
+- **让模型把 `/goal` 当作普通文本处理**——不予采纳，因为状态与直接生命周期操作会消耗模型轮次、可能被重新解释，也无法提供确定性的 ACP 发现。
+- **分别实现 TUI 和 ACP 处理器**——不予采纳，因为语法、错误行为与目标状态格式会发生偏差，可选部署也无法把该功能作为一个 effect 统一增删。
+- **为 `ctx.commands` 添加模态编辑与替换确认**——不予采纳，因为现有跨表面契约是非结构化输入加直接输出；通用交互协议所需的设计远超这一个生产方。
+- **静默替换未完成目标**——不予采纳，因为这会在没有原子性或明确破坏性意图的情况下组合清除与创建。
+- **在人类状态中暴露目标 id 与修订号**——不予采纳，因为人类操作始终在一个同步处理器内针对准确当前视图；这些字段只会增加实现噪声，无法消除其他竞争。
+- **在无 UI 主干中无条件启用目标**——不予采纳，因为单次 SDK/CLI 的结束契约是物理轮次 API，而不是目标操作 API。
+
+## 后果
+
+- TUI 与 ACP 暴露由可移除插件提供的同一个 Codex 形态 `/goal` 命令。
+- 人类状态会区分持久阶段与实时激活态，并报告准确的目标回合上限。
+- 直接暂停、恢复、清除、创建与编辑不消耗模型轮次，而其已接受变更仍可从会话日志重建。
+- 恢复后的会话等待人类决策；`/goal resume` 是字面命令路径，任何语言的普通提示词则可以授权模型工具路径。
+- 无头组合保持单轮行为，除非明确选择加入目标并定义自己的长时间运行结束契约。
+
+## 已知限制与延期工作
+
+- 可移植命令契约没有模态编辑器或确认交互；在出现通用跨表面交互原语之前，行内编辑与明确清除是有意选择。
+- `/goal` 不接受逐命令回合上限。部署配置拥有默认值；得到直接人类指示后，已授权模型工具可以编辑上限。
+- TUI 与 ACP 渲染可移植纯文本，而不是持续更新的目标状态组件。可重连命令输出和适配器专用状态指示器予以延期。
+- 无头 CLI 与 JSON-RPC 前端不消费命令注册表。
+- 该命令观察并改变状态，但不认证完成或阻塞。基于评估器的认证延期到具有明确权限与隔离契约的独立策略层。

.agents/notes/implemented/feature/2026-07-19-model-facing-goal-tools.i18n.yaml

@@ -0,0 +1,6 @@
+# Bilingual-pair consistency record (docs/i18n/README.md): the git blob hash of each
+# side as of the last confirmed-consistent state. Both languages carry equal authority;
+# after editing either side, bring the other along and re-record with:
+#   pnpm run verify-translation-pairing --write
+2026-07-19-model-facing-goal-tools.md: 7cc3907d708115207e166455ea988120a03d768b
+2026-07-19-model-facing-goal-tools.zh.md: 1a381160354d6a2a24f957f41bc9e375c1ab01ca

.agents/notes/implemented/feature/2026-07-19-model-facing-goal-tools.md

@@ -0,0 +1,66 @@
+# Agent Note: Model-facing same-session goal tools
+
+Status: implemented
+
+English | [中文](2026-07-19-model-facing-goal-tools.zh.md)
+
+## Problem
+
+The persisted goal domain deliberately exposes lifecycle verbs to plugins, not directly to a model. A model still needs a small control surface for discovering the current goal, creating one from human intent, and changing its lifecycle. Prompt guidance alone cannot establish who authorized a mutation: a subagent, injected plugin message, stale model turn, or resumed session could all produce the same tool arguments.
+
+The surface also needs to preserve the separation between durable state and live execution authority. A restored or forked session can replay an active goal but starts disarmed; a later human request such as “continue” should let the model rearm it without requiring a literal command phrase. Conversely, an admitted autonomous goal round must be able to report completion or a persistent blocker without gaining permission to edit, pause, resume, or replace the human objective.
+
+## Decision
+
+`@deepseek-ai/dsh-tool-goal` in `packages/goal/tool-goal/` contributes three exclusive tools and one system-prompt policy section over `ctx.goals`: `get_goal`, `create_goal`, and `update_goal`. The names and read-create-update shape follow Codex's compact goal tool surface while the authority rules use this repository's public agent, session, tool, and goal seams.
+
+### Tools and model contract
+
+`get_goal()` returns the current goal or `null`. A non-null result contains the compare-and-set id and revision, objective, durable phase, admitted and maximum goal rounds, any blocker reason, plus the process-local activation observation. `create_goal(objective, max_goal_rounds?)` creates one long-running same-session objective. `update_goal(goal_id, revision, action, objective?, max_goal_rounds?, blocked_reason?)` supports `edit`, `pause`, `resume`, `complete`, and `blocked`; replacement fields are valid only for `edit`, while a non-empty `blocked_reason` is required only for `blocked` and persists under the stable `model-reported` code.
+
+The prompt tells the model that it may infer goal intent from a direct human request in any wording or language, but should not convert routine single-turn work into a goal. It must read the current goal before updating and copy the exact id and revision. On a restored or forked active-but-disarmed goal, a semantic human request to continue is grounds for `resume`. Completion is reserved for an achieved objective, and difficulty or uncertainty alone is not a blocker; a block report must name the concrete condition.
+
+All three tools use exclusive execution so a model-ordered batch observes prior mutations and their new revisions. Results are compact JSON. ACP presentation is a pure function of arguments and uses generic read or mutation cards; activation is reported only as live observation and is never written into replay state.
+
+An autonomous goal round that successfully reports completion or blocking contributes the existing terminal `agent/turn-stop` decision for that physical turn, preventing an unnecessary follow-up request. Direct-human mutations do not contribute a terminal stop: the assistant can acknowledge the change, and concurrent human steering remains available to ordinary continuation folding.
+
+### Execution authority
+
+Every call requires an `exec.agent` that is the exact running object in `AgentRegistry`, is the current inherited driver initiator, and has an open turn. These are execution-time checks and cannot be bypassed by prompt injection or hand-authored tool arguments.
+
+Create, edit, pause, and resume additionally require an accepted user message or user steering event in the current turn of a runtime-root agent. Root ownership is derived from the live agent graph rather than durable fork ancestry: a resumed fork can receive direct human authority, while a live child remains a subagent and cannot mutate these states. User source is a host attestation: `Agent.send()` and `steer()` default an omitted source to `{ kind: 'user' }`, so non-human producers must label their own content. The runtime proves provenance, not whether the human's wording semantically warrants creation or resumption; that interpretation remains with the model.
+
+Complete and blocked accept either direct-human authority or the exact current goal round. Goal-round authority requires a goal-sourced `user/message` whose goal id, revision, and round all equal the folded current goal. It grants only the two terminal reports. Direct human authority may stop a goal immediately.
+
+### Blocking threshold
+
+`blockedAfterConsecutiveRounds` is a validated positive safe-integer configuration with default `3`. When an autonomous goal round calls `blocked`, the plugin mechanically requires at least that many admitted rounds and a non-empty explanation; the configured value also appears in model guidance. The runtime cannot determine whether those rounds encountered the same blocking condition, so semantic equivalence remains a model judgment. This count is deliberately separate from the goal's generous continuation cap.
+
+## Testing
+
+Unit coverage pins registration and disposal, exclusive scheduling, generated prompt policy, generic presentation, direct-human creation in a non-English turn, exact/stale/non-running agent and driver checks, live-child rejection, resumed-fork root authority, steering, mismatched initiators, read/create/edit/pause/resume behavior, conditional blocker explanations, rearming after a session-start edge, authority-before-conditional-argument failures, exact goal-round completion, autonomous-only terminal stopping, the configured blocking threshold, and immediate human blocking. A keyless replay snapshot mounts the goal domain and tools into the real headless one-shot application, drives `create_goal` and `get_goal` through the shipped loop and persistence stack, pins its stream-json transcript, and inspects the externally persisted goal change. The echo-agent fixture is intentionally not used as an application-UX surrogate.
+
+## Alternatives considered
+
+- **Rely on prompt instructions for authority** — rejected because text can guide model judgment but cannot authenticate the live caller, turn, or source event.
+- **Expose every goal-service verb as a separate tool** — rejected because a compact read/create/update surface reduces schema cost and keeps compare-and-set behavior uniform.
+- **Require exact command phrases** — rejected because natural-language intent, including languages other than English, should be interpreted by the model; execution authority depends on provenance rather than spelling.
+- **Authorize from persisted root or fork metadata** — rejected because a fork that becomes an independently resumed top-level session should accept new human authority, while a currently owned child should not.
+- **Let autonomous rounds edit or resume the goal** — rejected because continuation authority is narrower than authority to redefine or restart the human objective.
+- **Treat the blocked threshold as an evaluator** — rejected because event counts cannot prove that an obstacle is semantically unchanged or truly terminal.
+
+## Consequences
+
+- Models receive a stable, compact lifecycle surface without direct access to the goal service.
+- State-changing calls are constrained by live runtime provenance as well as durable compare-and-set references.
+- Human requests can create and rearm goals through ordinary natural language, while restored sessions remain inert until such input arrives.
+- Goal rounds can finish or report a repeated blocker but cannot broaden their own mandate.
+- Deployment policy selects the blocking lower bound; the same resolved value controls enforcement and prompt guidance.
+
+## Known limitations and deferred work
+
+- Semantic classification of a substantial goal, a request to continue, objective completion, and the same blocking condition remains model judgment. An independent evaluator or completion certificate is deferred.
+- These tools mutate goal state but do not schedule goal rounds, classify abnormal driver stops, or cancel an active turn; the same-session driver owns those behaviors.
+- Goal-round authority is dormant unless a separately mounted continuation driver admits goal-sourced user turns; this tool package never manufactures that authority itself.
+- Human slash-command discovery and rendering are owned by the separate [`dsh-command-goal`](../../../../packages/goal/command-goal/README.md) plugin.
+- A scope can hide tool registrations while leaving the independently registered prompt section visible unless the deployment scopes both together.

.agents/notes/implemented/feature/2026-07-19-model-facing-goal-tools.zh.md

@@ -0,0 +1,66 @@
+# Agent Note: 面向模型的同会话目标工具
+
+Status: implemented
+
+[English](2026-07-19-model-facing-goal-tools.md) | 中文
+
+## 问题
+
+持久目标领域有意把生命周期动词提供给插件，而不直接提供给模型。模型仍然需要一个小型控制面，用于发现当前目标、根据人类意图创建目标并改变其生命周期。仅靠提示词指导无法确定是谁授权了一次变更：子智能体、注入的插件消息、陈旧的模型轮次或恢复后的会话都可能产生相同的工具参数。
+
+该表面还需要保持持久状态与实时执行权限之间的分离。恢复或 fork（派生）后的会话可以回放活跃目标，但初始处于未激活状态；后续人类提出“继续”之类的请求时，模型应能重新激活目标，而无需用户使用字面命令。相反，已接纳的自主目标回合必须能够报告完成或持续阻塞，却不能因此获得编辑、暂停、恢复或替换人类目标的权限。
+
+## 决策
+
+位于 `packages/goal/tool-goal/` 的 `@deepseek-ai/dsh-tool-goal` 在 `ctx.goals` 之上贡献三个独占工具和一个系统提示词策略段：`get_goal`、`create_goal` 与 `update_goal`。工具名称和读取—创建—更新形态遵循 Codex 的紧凑目标工具表面，而权限规则使用本仓库公共的 agent（智能体）、会话、工具与目标接缝。
+
+### 工具与模型契约
+
+`get_goal()` 返回当前目标或 `null`。非空结果包含用于比较并交换的 id 与修订号、目标描述、持久阶段、已接纳和最大目标回合数、可能存在的阻塞原因，以及进程本地激活态观察。`create_goal(objective, max_goal_rounds?)` 创建一个长时间运行的同会话目标。`update_goal(goal_id, revision, action, objective?, max_goal_rounds?, blocked_reason?)` 支持 `edit`、`pause`、`resume`、`complete` 和 `blocked`；替换字段仅对 `edit` 有效，非空的 `blocked_reason` 仅在 `blocked` 时必填，并以稳定代码 `model-reported` 持久化。
+
+提示词告诉模型：它可以从任何措辞或语言的直接人类请求中推断目标意图，但不应把常规单轮工作转换为目标。更新前必须读取当前目标，并复制准确的 id 和修订号。对于恢复或派生后处于活跃但未激活状态的目标，人类在语义上要求继续即可成为执行 `resume` 的依据。只有目标已经实现时才能标记完成，困难或不确定性本身不构成阻塞；阻塞报告必须说明具体条件。
+
+三个工具都采用独占执行，使模型排序的批次可以观察此前变更及其新修订号。结果为紧凑 JSON。ACP 展示是参数的纯函数，使用通用读取或变更卡片；激活态仅作为实时观察返回，绝不会写入回放状态。
+
+自主目标回合成功报告完成或阻塞后，插件会为该物理轮次贡献现有的终止型 `agent/turn-stop` 决策，避免再发起一次不必要的模型请求。直接人类发起的变更不会贡献终止决策：智能体可以确认该变更，并且并发的人类 steering（转向）仍可参与普通的继续执行折叠。
+
+### 执行权限
+
+每次调用都要求存在 `exec.agent`，且它必须是 `AgentRegistry` 中完全相同的运行中对象、当前继承的驱动发起者，并处于开放轮次内。这些检查在执行时进行，不能通过提示词注入或手写工具参数绕过。
+
+创建、编辑、暂停与恢复还要求运行时根智能体的当前轮次已经接纳一条用户消息或用户 steering（转向）事件。根所有权来自实时智能体图，而非持久的 fork 祖先关系：恢复后的派生会话可以接收新的直接人类权限，实时子智能体则仍然是子智能体，不能改变这些状态。用户来源是宿主的证明：`Agent.send()` 和 `steer()` 会把省略的来源默认为 `{ kind: 'user' }`，因此非人类生产者必须标注自己的内容。运行时证明来源，而不判断人类措辞在语义上是否足以创建或恢复目标；该解释仍由模型完成。
+
+完成与阻塞既接受直接人类权限，也接受准确的当前目标回合。目标回合权限要求存在一条来源为目标的 `user/message`，其中目标 id、修订号和回合都与折叠后的当前目标相等。它只授予这两种终止报告权限。直接人类权限可以立即停止目标。
+
+### 阻塞阈值
+
+`blockedAfterConsecutiveRounds` 是经过校验的正安全整数配置，默认值为 `3`。自主目标回合调用 `blocked` 时，插件会机械地要求至少已经接纳该数量的回合并提供非空说明；配置值也会出现在模型指导中。运行时无法判断这些回合是否遇到了语义上相同的阻塞条件，因此语义等价性仍由模型判断。该计数特意与目标的宽裕继续执行上限分离。
+
+## 测试
+
+单元测试固定注册与释放、独占调度、生成的提示词策略、通用展示、非英语轮次中的直接人类创建、精确/陈旧/非运行中智能体与驱动检查、实时子智能体拒绝、恢复后派生根的权限、steering、发起者不匹配、读取/创建/编辑/暂停/恢复行为、条件式阻塞说明、会话启动边沿后的重新激活、权限先于条件参数失败、准确目标回合的完成、仅自主回合触发终止、可配置阻塞阈值，以及人类立即阻塞。无密钥回放快照把目标领域和工具挂载到真实的 headless 单次运行应用中，通过随附循环与持久化栈驱动 `create_goal` 和 `get_goal`，固定 stream-json 转录，并检查外部持久化的目标变更。这里有意不把 echo-agent 测试夹具当作应用 UX 的替代品。
+
+## 考虑过的替代方案
+
+- **依赖提示词指令实施权限**——不予采纳，因为文本可以指导模型判断，却不能认证实时调用者、轮次或来源事件。
+- **把每个目标服务动词分别暴露为工具**——不予采纳，因为紧凑的读取/创建/更新表面可以降低模式成本，并保持统一的比较并交换行为。
+- **要求精确命令短语**——不予采纳，因为自然语言意图（包括英语以外的语言）应由模型解释；执行权限取决于来源，而不是拼写。
+- **根据持久的根或派生元数据授权**——不予采纳，因为成为独立恢复顶层会话的派生应接受新的人类权限，而当前仍受所有权约束的子智能体则不应接受。
+- **允许自主回合编辑或恢复目标**——不予采纳，因为继续执行权限比重新定义或重启人类目标的权限更窄。
+- **把阻塞阈值当作评估器**——不予采纳，因为事件计数无法证明障碍在语义上未改变或确实不可继续。
+
+## 后果
+
+- 模型获得稳定而紧凑的生命周期表面，无需直接访问目标服务。
+- 改变状态的调用同时受到实时运行时来源与持久比较并交换引用的约束。
+- 人类可以通过普通自然语言请求创建和重新激活目标，而恢复后的会话在收到此类输入前保持静止。
+- 目标回合可以完成或报告重复阻塞，但不能自行扩大任务权限。
+- 部署策略选择阻塞下限；同一个解析后的值同时控制执行与提示词指导。
+
+## 已知限制与延期工作
+
+- 是否属于重大目标、是否要求继续、目标是否完成以及阻塞条件是否相同，仍由模型进行语义分类。独立评估器或完成证书予以延期。
+- 这些工具会改变目标状态，但不调度目标回合、不分类异常驱动停止，也不取消活跃轮次；这些行为由同会话驱动器负责。
+- 除非另行挂载的继续执行驱动器接纳了目标来源的用户轮次，否则目标回合权限路径处于休眠状态；本工具包本身不会制造这种权限。
+- 面向人类的斜杠命令发现与渲染由独立的 [`dsh-command-goal`](../../../../packages/goal/command-goal/README.md) 插件负责。
+- 若部署没有同时设定两个注册项的作用域，某个作用域可能隐藏工具注册，却保留独立注册的提示词段。

.agents/notes/implemented/feature/2026-07-19-persisted-same-session-goal-domain.i18n.yaml

@@ -0,0 +1,6 @@
+# Bilingual-pair consistency record (docs/i18n/README.md): the git blob hash of each
+# side as of the last confirmed-consistent state. Both languages carry equal authority;
+# after editing either side, bring the other along and re-record with:
+#   pnpm run verify-translation-pairing --write
+2026-07-19-persisted-same-session-goal-domain.md: 00600b2c49646ebd3b692154ef945eb79a33b032
+2026-07-19-persisted-same-session-goal-domain.zh.md: 6a554438d0d70a5b4ccbf7b6ee77853af9c9ce69

.agents/notes/implemented/feature/2026-07-19-persisted-same-session-goal-domain.md

@@ -0,0 +1,63 @@
+# Agent Note: Persisted same-session goal domain
+
+Status: implemented
+
+English | [中文](2026-07-19-persisted-same-session-goal-domain.zh.md)
+
+## Problem
+
+A long-running objective outlives one prompt, turn, or model request. Treating that objective as an in-memory loop variable loses it on process restart, while putting it only in UI state makes model behavior impossible to reconstruct. Treating every session turn as progress also charges unrelated human messages against an automatic-work budget.
+
+Durable lifecycle and permission to continue are different facts. A session may retain an active objective after restart or fork, but silently starting work when a user opens that session is surprising. The domain needs replayable state without persisted auto-execution authority, and it must remain a plugin on the public agent/session seams rather than a special case in the concrete loop.
+
+## Decision
+
+`@deepseek-ai/dsh-goal` in `packages/goal/goal/` owns one current same-session goal through `ctx.goals`. A goal has a branded id, objective, durable phase, compare-and-set revision, and `maxGoalRounds`. `defaultMaxGoalRounds` is a validated deployment setting with default `256`; `create()` materializes it internally before mutation rather than exposing resolution as another service verb.
+
+The durable phases are `active`, `paused`, `blocked`, and `complete`. A blocked snapshot includes a policy-owned lower-kebab-case code and a normalized free-form message, so usage limits, round caps, execution failures, and human-input dependencies share one lifecycle state without losing their cause. A separate live activation is `armed` or `disarmed`. Creation and explicit resume arm activation; pause, completion, blocking, and clear disarm it. Edits preserve activation and any blocker reason; resume and completion clear that reason. Activation is never part of the persisted snapshot.
+
+### Durable record and replay
+
+Every non-clear mutation uses `Agent.inject()` to append a model-visible `context/message` containing a versioned full snapshot; the session projects that content verbatim. Clear appends a revisioned tombstone. The context source is `{ kind: 'goal', goalId, revision, round: 0 }`; metadata and rendered `<goal_state>...</goal_state>` content must agree exactly. This descriptive delimiter follows the repository's existing `<workspace_context>` convention and [Anthropic's published guidance to structure mixed prompt content with consistent descriptive XML tags](https://platform.claude.com/docs/en/build-with-claude/prompt-engineering/claude-prompting-best-practices#structure-prompts-with-xml-tags). That is public model-experience prior art, not evidence about any provider's proprietary training corpus. The session log is the only durable source of truth, so persistence and fork inherit goal records without another database or header field.
+
+The replay fold validates JSON shape, source attribution, rendered content, fresh ids, revision continuity, lifecycle transitions, counters, and monotonic per-goal timestamps. Goal rounds are positive sequential `user/message` source numbers for the current active revision and cannot exceed `maxGoalRounds`; ordinary session turns do not affect the counter. A malformed current-format record fails replay rather than being ignored or repaired.
+
+When `Agent.inject()` defers a mutation inside an active tool batch, the service overlays the accepted payload in process memory so a later mutation can use its new revision. Reconciliation removes only an exact matching payload when the FIFO append becomes visible; reentrant append observers project each mutation exactly once. Incremental replay advances its cursor after each valid event and remains positioned at the first corrupt event, so later reads report the same durable fault. The durable log remains authoritative after restart.
+
+### Lifecycle and live activation
+
+At most one goal is current. Create requires no current non-complete goal and always generates a revision-one id not used earlier in the session; a completed goal may be replaced. Every other mutation carries the expected `GoalRef`, and stale ids or revisions reject. Resume accepts a paused or blocked phase, or a disarmed active goal, only when the round cap has remaining capacity. The domain validates blocker reason shape but deliberately leaves reason codes and the decision to block to policy consumers.
+
+A cache built from any seed starts disarmed, and every `agent/session-start` edge disarms it again. `GoalService.disarm(agent)` also lets a lifecycle owner remove process-local authority without a session event, revision change, or `goal/changed` notification. Resume, fork, and continuation-driver replacement therefore preserve the durable objective and history but never initiate work on their own. A later human prompt can be interpreted by the model, whose policy surface may explicitly call resume and arm the goal.
+
+### Service boundary
+
+The service accepts only the exact live `Agent` object registered under its id. Successful mutation injection emits the scoped `goal/changed` event with contained listener failures. Policy consumers use this service plus the public `Agent` interface and `agent/*` events; the goal domain does not import or modify `dsh-agent-loop`.
+
+## Testing
+
+Unit coverage pins creation defaults, exact-live-agent checks, compare-and-set rejection, every lifecycle transition, blocker reason validation and retention, cap enforcement on resume, clear/replacement, seeded replay and `SessionStore.fork()` inheritance, session-start and lifecycle-owner disarming, active-goal rearming, FIFO deferred mutation reconciliation, reentrant append observation, rejected-injection rollback, stable corrupt-event replay, service/listener disposal, listener containment, backward-clock clamping, strict record decoding, lifecycle continuity, source/content agreement, and sequential round attribution. A keyless Loader/stdio process test mounts the service and a lifecycle consumer through test-only `cordis.yml`, then reads the persisted JSONL externally to verify the model-visible snapshot and absence of an unrequested goal round. The package source is held to the repository's per-file 100% coverage gate.
+
+## Alternatives considered
+
+- **Store goals in a separate database or session header** — rejected because the session log already supplies ordering, persistence, fork prefixes, and reconstructability; a second store introduces atomicity and lineage questions.
+- **Use hidden log-only events** — rejected because durable state that changes future model behavior must be model-visible and reconstructable under the repository's logging invariant.
+- **Persist activation and restart automatically** — rejected because opening or resuming a session must wait for human input; durable phase records status, not fresh authority to spend resources.
+- **Count all session turns as goal rounds** — rejected because one session can contain human clarification, inspection, and unrelated work; only goal-attributed continuation turns consume this budget.
+- **Add goal state or a generic loop abstraction to `dsh-agent-loop`** — rejected because state and continuation policy can compose through existing plugins, `Agent` verbs, and events without privileging the shipped loop implementation.
+
+## Consequences
+
+- Goal history survives persistence, resume, compaction of unrelated nodes, and session fork as ordinary session data.
+- Resume and fork expose the same durable phase while remaining operationally inert until an explicit resume mutation arms activation.
+- Full snapshots simplify inspection and strict replay but repeat the objective and state fields in model history until compaction shadows them.
+- Revision and lifecycle validation reject tampered, partially written, or producer-inconsistent goal records early.
+- Round caps bound continuation count only; policy consumers map round, token, currency, time, and provider limits to blocked reasons when they stop work.
+
+## Known limitations and deferred work
+
+- This domain records state but does not schedule goal rounds, cancel active turns, or classify abnormal stops.
+- The actor that records `complete` or `blocked` is authoritative; an independent evaluator or completion certificate is deferred to a policy consumer.
+- There is one current goal per session; parallel objective graphs and cross-session goal storage are absent.
+- Plugins share one trusted process boundary. Direct session writers can counterfeit goal records; strict replay detects inconsistency and fails goal access at the offending record, but does not isolate plugins or repair the log.
+- `GOAL_CHANGE_VERSION` has no pre-release compatibility promise or migration path.

.agents/notes/implemented/feature/2026-07-19-persisted-same-session-goal-domain.zh.md

@@ -0,0 +1,63 @@
+# Agent Note: 持久的同会话目标领域
+
+Status: implemented
+
+[English](2026-07-19-persisted-same-session-goal-domain.md) | 中文
+
+## 问题
+
+长时间运行的目标会跨越单个提示词、轮次或模型请求。若把该目标视为内存中的循环变量，进程重启时就会丢失；若只存放在 UI 状态中，又无法重建模型行为。若把会话中的每个轮次都视为目标进度，与自动工作无关的人类消息也会消耗预算。
+
+持久生命周期与继续执行的权限是两个不同事实。会话在重启或 fork（派生）后可以保留活跃目标，但用户打开会话时静默启动工作并不符合直觉。该领域需要可回放的状态，却不能持久化自动执行权限；它还必须作为公共 agent（智能体）与会话接缝上的插件存在，而不是具体循环中的特例。
+
+## 决策
+
+位于 `packages/goal/goal/` 的 `@deepseek-ai/dsh-goal` 通过 `ctx.goals` 管理一个当前的同会话目标。目标包含品牌化 id、目标描述、持久阶段、比较并交换修订号和 `maxGoalRounds`。`defaultMaxGoalRounds` 是经过校验的部署配置，默认值为 `256`；`create()` 在变更前于内部将其解析为完整值，而不会把解析过程暴露为额外的服务动词。
+
+持久阶段包括 `active`、`paused`、`blocked` 和 `complete`。阻塞快照包含由策略提供的 kebab-case 小写代码和规范化自由文本消息，因此用量限制、回合上限、执行失败和等待人工输入可以共享一个生命周期状态而不丢失原因。独立的实时激活态为 `armed` 或 `disarmed`。创建与显式恢复会激活目标；暂停、完成、阻塞和清除都会解除激活。编辑保留激活态及阻塞原因；恢复和完成会清除该原因。持久快照绝不包含激活态。
+
+### 持久记录与回放
+
+每次非清除变更都通过 `Agent.inject()` 追加一条模型可见的 `context/message`，其中包含带版本的完整快照；会话会将其内容原样投射给模型。清除操作追加带修订号的墓碑。上下文来源为 `{ kind: 'goal', goalId, revision, round: 0 }`；元数据必须与渲染后的 `<goal_state>...</goal_state>` 内容完全一致。这个描述性分隔符沿用了仓库已有的 `<workspace_context>` 约定，也符合 [Anthropic 关于用一致且描述明确的 XML 标签组织混合提示词内容的公开指南](https://platform.claude.com/docs/en/build-with-claude/prompt-engineering/claude-prompting-best-practices#structure-prompts-with-xml-tags)。这是公开的模型体验先例，并非对任何提供方专有训练语料的推断。会话日志是唯一的持久事实来源，因此持久化和 fork 会继承目标记录，而无需另设数据库或头字段。
+
+回放折叠会校验 JSON 形状、来源归属、渲染内容、新 id、修订连续性、生命周期转换、计数器以及单个目标内单调递增的时间戳。目标回合是当前活跃修订上带正数且连续编号的 `user/message` 来源，且不能超过 `maxGoalRounds`；普通会话轮次不会影响该计数器。当前格式的畸形记录会使回放失败，而不会被忽略或修复。
+
+当 `Agent.inject()` 在活跃工具批次中延迟变更时，服务会在进程内叠加已接受的载荷，使后续变更可以使用新的修订号。FIFO 追加可见后，协调过程只移除完全匹配的载荷；重入的追加观察器对每次变更只投影一次。增量回放会在每个有效事件后推进游标，并停留在首个损坏事件处，因此后续读取会报告同一个持久故障。重启后仍以持久日志为准。
+
+### 生命周期与实时激活态
+
+最多只有一个当前目标。创建要求不存在未完成的当前目标，并始终生成该会话此前未使用过、修订号为一的 id；已完成目标可以被替换。其他每次变更都携带预期的 `GoalRef`，陈旧的 id 或修订号会被拒绝。仅当回合上限仍有余量时，暂停或阻塞阶段以及已解除激活的活跃目标才能恢复。领域层校验阻塞原因的形状，但会把原因代码和是否阻塞的决策留给策略消费者。
+
+从任何种子构建的缓存都以未激活状态开始，每次 `agent/session-start` 边沿也会再次解除激活。`GoalService.disarm(agent)` 还允许生命周期所有者移除进程内权限，而不写入会话事件、不改变修订号，也不发出 `goal/changed` 通知。因此，恢复、fork 和继续执行驱动器替换都会保留持久目标与历史，但绝不会自行启动工作。后续人类提示词可由模型解释，其策略表面可以显式调用恢复操作并激活目标。
+
+### 服务边界
+
+服务只接受在对应 id 下注册的同一个实时 `Agent` 对象。成功注入变更后，它会发出带作用域的 `goal/changed` 事件，并隔离监听器失败。策略消费者通过本服务、公共 `Agent` 接口和 `agent/*` 事件工作；目标领域既不导入也不修改 `dsh-agent-loop`。
+
+## 测试
+
+单元测试固定创建默认值、精确实时 agent 校验、比较并交换拒绝、所有生命周期转换、阻塞原因校验与保留、恢复时的上限执行、清除与替换、种子回放和 `SessionStore.fork()` 继承、会话启动与生命周期所有者解除激活、活跃目标重新激活、FIFO 延迟变更协调、重入追加观察、注入拒绝回滚、损坏事件的稳定回放、服务与监听器销毁、监听器隔离、挂钟后退钳制、严格记录解码、生命周期连续性、来源与内容一致性，以及连续目标回合归属。无密钥 Loader/stdio 进程测试通过测试专用 `cordis.yml` 挂载服务与生命周期消费者，再从外部读取持久 JSONL，以验证模型可见快照以及不存在未经请求的目标回合。包源码受仓库逐文件 100% 覆盖率门禁约束。
+
+## 考虑过的替代方案
+
+- **把目标存入独立数据库或会话头**——不予采纳，因为会话日志已经提供顺序、持久化、fork 前缀与可重建性；第二份存储会引入原子性和谱系问题。
+- **使用模型不可见的纯日志事件**——不予采纳，因为会改变后续模型行为的持久状态必须满足仓库日志不变量，保持模型可见且可重建。
+- **持久化激活态并自动重启**——不予采纳，因为打开或恢复会话时必须等待人类输入；持久阶段记录状态，而不是再次消耗资源的授权。
+- **把所有会话轮次都计为目标回合**——不予采纳，因为同一会话可以包含人类澄清、检查和无关工作；只有归属于目标的继续执行轮次才消耗该预算。
+- **向 `dsh-agent-loop` 添加目标状态或通用循环抽象**——不予采纳，因为状态与继续执行策略可以通过现有插件、`Agent` 动词和事件组合，而无需赋予默认循环实现特权。
+
+## 后果
+
+- 目标历史作为普通会话数据，在持久化、恢复、无关节点压缩和会话 fork 后继续保留。
+- 恢复与 fork 会暴露同一持久阶段，但在显式恢复变更激活目标前不会执行任何操作。
+- 完整快照便于检查和严格回放，但在压缩隐藏它们之前，会在模型历史中重复目标描述与状态字段。
+- 修订号与生命周期校验会尽早拒绝遭篡改、部分写入或生产者不一致的目标记录。
+- 回合上限只约束继续执行次数；当回合、token、费用、时间或提供方限制停止工作时，策略消费者会把它们映射为不同的阻塞原因。
+
+## 已知限制与延期工作
+
+- 本领域记录状态，但不调度目标回合、不取消活跃轮次，也不分类异常停止。
+- 记录 `complete` 或 `blocked` 的参与者具有最终权威；独立评估器或完成证书延期到策略消费者中实现。
+- 每个会话只有一个当前目标；不存在并行目标图和跨会话目标存储。
+- 插件共享同一个受信任的进程边界。直接写入会话的插件可以伪造目标记录；严格回放会检测不一致并在违规记录处使目标访问失败，但不会隔离插件或修复日志。
+- `GOAL_CHANGE_VERSION` 在首次发布前不承诺兼容性，也不提供迁移路径。

.agents/notes/implemented/feature/2026-07-19-plugin-command-registration.i18n.yaml

@@ -0,0 +1,6 @@
+# Bilingual-pair consistency record (docs/i18n/README.md): the git blob hash of each
+# side as of the last confirmed-consistent state. Both languages carry equal authority;
+# after editing either side, bring the other along and re-record with:
+#   pnpm run verify-translation-pairing --write
+2026-07-19-plugin-command-registration.md: bc3d33f9abf7cd87b78aac8f7d36ac9c021a7910
+2026-07-19-plugin-command-registration.zh.md: 054ab3a90eeecc8c5ddc2ff072b53112fd8e7845

.agents/notes/implemented/feature/2026-07-19-plugin-command-registration.md

@@ -0,0 +1,81 @@
+# Agent Note: Plugin-owned human command registration
+
+Status: implemented
+
+English | [中文](2026-07-19-plugin-command-registration.zh.md)
+
+## Problem
+
+The TUI owns seven slash commands, while ACP defines a standard command catalog and invocation shape. Keeping command names, help text, autocomplete, dispatch, and cancellation inside each adapter makes every new command an adapter edit, prevents optional plugins from contributing commands, and lets the two front doors drift. Treating slash input as an ordinary model prompt is also unsafe: a user-visible direct action can unexpectedly consume tokens or let the model reinterpret an unknown command.
+
+A shared mechanism must remain a UI concern rather than a model tool or agent-loop branch. It also needs exact per-agent visibility, HMR-safe removal, per-session ACP discovery, direct result rendering, and request-scoped cancellation without automatically adding command text or output to model history.
+
+## Decision
+
+`@deepseek-ai/dsh-commands` in `packages/ui/commands/` is the product command registry. The terminal and ACP app bundles mount it beside their consuming front door, and the SDK project helper emits the same service when scaffolding ACP directly; the executor-less, UI-less agent spine remains independent. TUI and ACP inject the service, while command producers depend only on the registry and any domain they operate.
+
+### Registry contract
+
+A `CommandDefinition` contains a lowercase name without `/`, a non-empty description, an optional unstructured-input hint, and an abortable handler. Registration validates and detaches the metadata, freezes the effective definition, and returns the exact Cordis effect disposer. Duplicate names fail within one layer. Every adapter consuming the registry sees every effective definition; a command plugin that cannot operate in a deployment omits its registration there instead of encoding adapter identities in the shared domain.
+
+`list(agent)` returns immutable name-sorted descriptors after scoped shadowing. `find(agent, name)` resolves the effective definition. `execute(agent, line, signal)` parses and runs a known definition, returning a detached `success` or `error` result; invalid syntax and unknown names return `undefined` so the adapter owns its direct error text.
+
+`parseCommand(line)` requires `/` at byte zero, a lowercase ASCII name containing letters, digits, `_`, or `-`, then whitespace or end-of-input. It preserves the complete adapter-delivered suffix as `rawInput`, including separator whitespace. Command-specific plugins own every further grammar decision.
+
+### Scope and lifecycle
+
+An unscoped registration is global. A command-injected plugin mounted beneath an agent context inherits that agent's scope key and lifetime, so its definition shadows a same-named global only for that exact agent. The child declares its own `commands` injection because `agent.ctx` intentionally inherits the core agent-loop dependency surface; adding a UI service to the loop merely to enable scoped registration would invert the dependency graph.
+
+Registration and removal emit the unfiltered, non-vetoing `commands/change` registry notification. Adapters recompute each live agent's effective view rather than trying to infer which sessions a change affects. The registry contains and logs each observer failure independently, so a broken UI refresh cannot roll back another plugin's mutation or starve a later observer. Cordis ownership removes definitions when their producer, UI instance, or agent scope unloads, so HMR cannot leave stale discovery entries or handlers.
+
+### Direct dispatch and cancellation
+
+Commands run in a human-only command plane. The registry does not turn their input into `user/message`, their output does not become a session event, and neither is sent to the model implicitly. A handler receives the exact target agent, raw input, and request-owned `AbortSignal`; a producer may explicitly schedule separate model-visible work through that agent and then owns its logging and lifecycle contract. The registry stops awaiting an uncooperative handler when the signal aborts; the handler remains responsible for stopping external side effects already started.
+
+Expected handler failures return `CommandResult.error`. Thrown or malformed results remain adapter-visible command failures, not model messages. This boundary deliberately separates UI output from durable domain mutation: a goal command may change `ctx.goals`, for example, but the goal service owns that persisted state.
+
+### TUI mapping
+
+The TUI registers `help`, `clear`, `cancel`, `reasoning`, `tools`, `redraw`, and `exit` as agent-scoped command definitions instead of switching on strings. Its autocomplete and help view read the live catalog, so plugin commands appear and disappear with their effects. Any submitted line beginning with `/` stays in the command plane; unknown input produces a terminal warning rather than falling through to `Agent.send()` or `Agent.steer()`.
+
+Each submitted command owns an `AbortController`. TUI disposal aborts outstanding dispatches, removes the local definitions, and waits for the command-producing fiber before completing teardown.
+
+### ACP mapping
+
+The bridge follows the current [ACP v1 slash-command contract](https://agentclientprotocol.com/protocol/v1/slash-commands). `session/new` and `session/load` emit the exact agent's full `available_commands_update` snapshot; a new session's RPC response introduces its server-generated id before the snapshot is enqueued. Every registry change emits a replacement snapshot for each live session. Names, descriptions, and optional unstructured-input hints map directly to `AvailableCommand`.
+
+ACP permits a command prompt to contain additional supported content blocks. The bridge applies its ordinary lossless `text` and `resource_link` flattening, then enters the command plane when the result starts with `/`. Unsupported prompt blocks are rejected by the existing capability boundary. Known commands execute directly; unknown or malformed slash input returns a direct error and never reaches the model. Successful text, expected errors, and thrown-failure diagnostics stream as live `agent_message_chunk` output and settle `end_turn`.
+
+One model prompt or direct command may be in flight per ACP session, independently across sessions. `session/cancel` aborts the direct command when one owns the request; it calls `Agent.cancel()` only for an agent prompt, so cancelling a command cannot destroy unrelated queued or injected agent work. Connection teardown aborts commands and then disposes the owned agents.
+
+## Testing
+
+The registry suite covers syntax boundaries, immutable normalization, runtime metadata validation, deterministic sorting, global and scoped shadowing, duplicate rejection, exact disposal, contained change-notification failures, direct invocation, expected and malformed results, synchronous and asynchronous failure, and every abort timing edge at per-file 100% statement, branch, function, and line coverage.
+
+TUI tests exercise all migrated built-ins, live plugin discovery, help/autocomplete refresh, direct results, unknown-command rejection, raw-input delivery, definition removal, startup rollback, and disposal cancellation. ACP tests use the real SDK connection, agent factory, loop, and JSONL persistence to verify create/load snapshots, dynamic updates, scoped multi-session catalogs, supported-block flattening, direct success/error/failure, unknown-command isolation, cancellation, and the absence of model requests or session messages. The SDK helper suite pins direct-ACP composition. Keyless ACP and terminal snapshots pin the new protocol and rendered transcript shapes.
+
+## Alternatives considered
+
+- **Keep adapter-local switches** — rejected because optional plugins cannot contribute discovery and behavior without editing every front door.
+- **Represent human commands as model tools** — rejected because discovery and direct invocation are human UI behavior; routing through the model adds latency, token cost, and reinterpretation.
+- **Put the registry in the core agent spine** — rejected because headless and JSON-RPC agents do not consume it, while the two UI app bundles can compose it explicitly.
+- **Make `dsh-agent-loop` inject commands** — rejected because the loop does not execute or discover human commands. Agent-scoped producers declare the UI dependency in a child plugin instead.
+- **Attach adapter masks to each definition** — rejected because support is a composition fact, not command-domain state. Every composed adapter exposes a registered command; an incompatible plugin omits registration in that deployment.
+- **Send unknown slash input to the model** — rejected because typoed or unavailable direct actions must fail predictably rather than change execution planes.
+- **Persist generic command input and output** — rejected because adapter notices are not model-visible state. A handler that changes durable behavior calls the owning domain API, which records its own events.
+- **Restrict ACP commands to one text block** — rejected because ACP v1 permits accompanying content; the bridge already has a lossless accepted-block translation.
+
+## Consequences
+
+- Command producers are ordinary removable plugins, and TUI/ACP share one validated catalog and dispatch contract.
+- Agent-specific definitions retain existing flat scope and shadow semantics without a core-to-UI dependency.
+- Unknown slash input and command output are deterministic UI behavior with zero direct model tokens.
+- ACP clients receive current per-session snapshots after creation, load, registration, and HMR removal.
+- Direct command cancellation is isolated from model-turn cancellation.
+
+## Known limitations and deferred work
+
+- Input metadata is ACP's current unstructured text hint. Typed forms, argument schemas, and completion providers remain command-owned or require a later protocol extension.
+- Generic command output is live-only and is not reconstructed after TUI restart or ACP reconnect.
+- Registry cancellation stops awaiting immediately, but external work stops only when a handler cooperates with its signal.
+- The headless CLI and JSON-RPC SDK front doors do not expose the command plane; only TUI and ACP consume it.

.agents/notes/implemented/feature/2026-07-19-plugin-command-registration.zh.md

@@ -0,0 +1,81 @@
+# Agent Note: 插件拥有的人类命令注册
+
+Status: implemented
+
+[English](2026-07-19-plugin-command-registration.md) | 中文
+
+## 问题
+
+TUI 拥有七个斜杠命令，而 ACP 定义了标准命令目录与调用形态。如果命令名、帮助文本、自动补全、分派和取消都留在各适配器内部，每个新命令都需要修改适配器，可选插件无法贡献命令，两个前端也会逐渐偏离。把斜杠输入当作普通模型提示同样不安全：用户可见的直接操作可能意外消耗 token，或让模型重新解释未知命令。
+
+共享机制必须仍是 UI 关注点，而不是模型工具或智能体循环分支。它还需要精确的逐智能体可见性、可安全 HMR 移除、逐会话 ACP 发现、直接结果渲染和请求作用域取消，同时不会自动把命令文本或输出加入模型历史。
+
+## 决策
+
+位于 `packages/ui/commands/` 的 `@deepseek-ai/dsh-commands` 是产品命令注册表。终端与 ACP 应用 bundle（组合包）把它挂载在消费该服务的前端旁，SDK 项目 helper（辅助器）在直接搭建 ACP 时也会生成同一服务；无执行器、无 UI 的智能体 spine（主干）保持独立。TUI 与 ACP 注入该服务，命令生产者只依赖注册表及其操作的领域。
+
+### 注册表契约
+
+`CommandDefinition` 包含不带 `/` 的小写名称、非空描述、可选的非结构化输入提示，以及可取消处理器。注册会校验并分离元数据、冻结有效定义，并返回准确的 Cordis effect disposer（副作用释放器）。同一层中的重复名称会失败。每个消费该注册表的适配器都能看到所有有效定义；若命令插件无法在某种部署中运行，它就不在该部署中注册，而不是把适配器身份编码进共享领域。
+
+`list(agent)` 在作用域遮蔽后返回不可变、按名称排序的描述符。`find(agent, name)` 解析有效定义。`execute(agent, line, signal)` 解析并运行已知定义，返回分离后的 `success` 或 `error` 结果；无效语法和未知名称返回 `undefined`，由适配器拥有直接错误文本。
+
+`parseCommand(line)` 要求 `/` 位于第零字节，后接由字母、数字、`_` 或 `-` 组成的小写 ASCII 名称，并以空白或输入末尾结束。它把适配器交付的完整后缀保留为 `rawInput`，包括分隔空白。每个命令插件自行拥有后续语法决策。
+
+### 作用域与生命周期
+
+无作用域注册是全局注册。挂载在智能体上下文之下并注入 `commands` 的插件会继承该智能体的作用域键与生命周期，因此其定义仅为该准确智能体遮蔽同名全局定义。子插件自行声明 `commands` 注入，因为 `agent.ctx` 有意只继承核心智能体循环的依赖界面；仅为了实现作用域注册而让循环依赖 UI 服务会倒置依赖图。
+
+注册和移除会发出未过滤、不可否决的 `commands/change` 注册表通知。适配器重新计算每个实时智能体的有效视图，而不尝试推断某次变更影响哪些会话。注册表会分别隔离并记录每个观察者失败，因此损坏的 UI 刷新无法回滚另一插件的变更，也无法阻止后续观察者。Cordis 所有权会在生产者、UI 实例或智能体作用域卸载时移除定义，因此 HMR 不会留下陈旧的发现项或处理器。
+
+### 直接分派与取消
+
+命令在仅面向人类的命令平面中运行。注册表不会把输入转成 `user/message`，输出不会成为会话事件，两者都不会隐式发送给模型。处理器接收准确的目标智能体、原始输入和请求拥有的 `AbortSignal`；生产者可以通过该智能体显式调度单独的模型可见工作，随后由生产者负责其日志记录和生命周期契约。信号中止时，注册表不再等待不合作的处理器；处理器仍负责停止已经启动的外部副作用。
+
+预期的处理器失败返回 `CommandResult.error`。抛出的异常或格式错误的结果仍是适配器可见的命令失败，而不是模型消息。该边界有意分离 UI 输出与持久领域变更：例如目标命令可以改变 `ctx.goals`，但持久状态由目标服务拥有。
+
+### TUI 映射
+
+TUI 把 `help`、`clear`、`cancel`、`reasoning`、`tools`、`redraw` 和 `exit` 注册为智能体作用域命令定义，不再对字符串执行 switch。自动补全与帮助视图读取实时目录，因此插件命令会随其副作用出现和消失。任何以 `/` 开头的提交行都留在命令平面；未知输入产生终端警告，不会落入 `Agent.send()` 或 `Agent.steer()`。
+
+每个提交的命令拥有一个 `AbortController`。TUI 释放会中止未完成的分派、移除本地定义，并等待命令生产者 fiber（纤程）后再完成清理。
+
+### ACP 映射
+
+桥接遵循当前的 [ACP v1 斜杠命令契约](https://agentclientprotocol.com/protocol/v1/slash-commands)。`session/new` 与 `session/load` 发出准确智能体的完整 `available_commands_update` 快照；新会话的 RPC 响应会先引入服务端生成的 id，随后快照才会入队。每次注册表变更都会为每个实时会话发出替换快照。名称、描述和可选非结构化输入提示直接映射到 `AvailableCommand`。
+
+ACP 允许命令提示携带额外的受支持内容块。桥接应用普通的无损 `text` 与 `resource_link` 扁平化，然后在结果以 `/` 开头时进入命令平面。不支持的提示块由现有能力边界拒绝。已知命令直接执行；未知或格式错误的斜杠输入返回直接错误，绝不会到达模型。成功文本、预期错误和抛出失败的诊断作为实时 `agent_message_chunk` 输出流式发送，并以 `end_turn` 结束请求。
+
+每个 ACP 会话同时只能有一个模型提示或直接命令进行中，各会话彼此独立。当直接命令拥有请求时，`session/cancel` 会中止它；只有智能体提示才调用 `Agent.cancel()`，因此取消命令不会销毁无关的排队或注入智能体工作。连接清理会先中止命令，再释放所拥有的智能体。
+
+## 测试
+
+注册表测试覆盖语法边界、不可变规范化、运行时元数据校验、确定性排序、全局与作用域遮蔽、重复拒绝、准确释放、变更通知失败隔离、直接调用、预期和格式错误结果、同步与异步失败，以及每种中止时序边沿；该源文件达到逐文件 100% 语句、分支、函数和行覆盖率。
+
+TUI 测试覆盖全部迁移后的内置命令、实时插件发现、帮助与自动补全刷新、直接结果、未知命令拒绝、原始输入交付、定义移除、启动回滚和释放取消。ACP 测试使用真实 SDK 连接、智能体工厂、循环与 JSONL 持久化，验证创建/加载快照、动态更新、作用域多会话目录、受支持块扁平化、直接成功/错误/失败、未知命令隔离、取消，以及不存在模型请求或会话消息。SDK helper 测试固定直接 ACP 组合。无密钥 ACP 与终端快照固定新的协议和渲染记录形态。
+
+## 考虑过的替代方案
+
+- **保留适配器本地 switch**——不予采纳，因为可选插件无法贡献发现与行为，除非修改每个前端。
+- **把人类命令表示为模型工具**——不予采纳，因为发现与直接调用属于人类 UI 行为；经由模型路由会增加延迟、token 成本和重新解释。
+- **把注册表放入核心智能体主干**——不予采纳，因为无头和 JSON-RPC 智能体不消费它，而两个 UI 应用组合包可以显式组合它。
+- **让 `dsh-agent-loop` 注入 commands**——不予采纳，因为循环不执行也不发现人类命令。智能体作用域生产者改为在子插件中声明 UI 依赖。
+- **为每个定义附加适配器掩码**——不予采纳，因为支持能力是组合事实，而不是命令领域状态。每个已组合适配器都暴露已注册命令；不兼容插件不会在该部署中注册。
+- **把未知斜杠输入发送给模型**——不予采纳，因为输入错误或不可用的直接操作必须可预测地失败，而不能改变执行平面。
+- **持久化通用命令输入与输出**——不予采纳，因为适配器提示不是模型可见状态。改变持久行为的处理器会调用拥有该状态的领域 API，由后者记录自己的事件。
+- **把 ACP 命令限制为单个文本块**——不予采纳，因为 ACP v1 允许附带内容，而桥接已有无损的已接纳块转换。
+
+## 后果
+
+- 命令生产者是普通的可移除插件，TUI 与 ACP 共享一个经过校验的目录和分派契约。
+- 智能体特定定义保留现有扁平作用域与遮蔽语义，不引入核心到 UI 的依赖。
+- 未知斜杠输入与命令输出是确定性 UI 行为，直接模型 token 成本为零。
+- ACP 客户端在创建、加载、注册和 HMR 移除后收到当前的逐会话快照。
+- 直接命令取消与模型轮次取消彼此隔离。
+
+## 已知限制与延期工作
+
+- 输入元数据仅为 ACP 当前的非结构化文本提示。类型化表单、参数模式和补全提供器仍由命令拥有，或需要后续协议扩展。
+- 通用命令输出仅实时存在，TUI 重启或 ACP 重新连接后不会重建。
+- 注册表取消会立即停止等待，但外部工作只有在处理器配合信号时才会停止。
+- 无头 CLI 与 JSON-RPC SDK 前端不暴露命令平面；只有 TUI 和 ACP 消费它。

.agents/notes/implemented/feature/2026-07-19-same-session-goal-round-driver.i18n.yaml

@@ -0,0 +1,6 @@
+# Bilingual-pair consistency record (docs/i18n/README.md): the git blob hash of each
+# side as of the last confirmed-consistent state. Both languages carry equal authority;
+# after editing either side, bring the other along and re-record with:
+#   pnpm run verify-translation-pairing --write
+2026-07-19-same-session-goal-round-driver.md: 34d59456b5a8b54c92aba581da0ff22ea045b626
+2026-07-19-same-session-goal-round-driver.zh.md: dc2afd1ce18a45964bc1db04121211a9958445f3

.agents/notes/implemented/feature/2026-07-19-same-session-goal-round-driver.md

@@ -0,0 +1,100 @@
+# Agent Note: Same-session goal-round driver
+
+Status: implemented
+
+English | [中文](2026-07-19-same-session-goal-round-driver.zh.md)
+
+## Problem
+
+The goal domain can retain an objective and the model-facing tools can mutate its lifecycle, but neither should decide when another model turn begins. A continuation driver must bridge active goal state to the ordinary agent loop without adding goal-specific branches to `dsh-agent-loop`, inventing a second conversation, or treating every human turn as an autonomous iteration.
+
+That bridge has concurrency and durability obligations. Human input, cancellation, a goal edit, persistence failure, session restart, plugin unload, and a downstream prompt policy can all race a pending continuation. A naive `goal/changed -> agent.send()` listener can admit obsolete work, run alongside a human prompt, spend beyond the cap, or restart from replay without new authority.
+
+## Decision
+
+`@deepseek-ai/dsh-goal-session` in `packages/goal/goal-session/` is a policy plugin over `ctx.goals`, the public `Agent` interface, and durable session events. It imports no concrete agent-loop implementation. For each exact live `Agent`, it owns process-local scheduling state and may reserve at most one automatic round.
+
+The hierarchy is Goal → Goal Round → Turn → Step. A goal round is the outer continuation policy iteration; it becomes one goal-sourced session turn, and that turn can contain any number of ordinary model/tool steps. Human turns in the same session are not goal rounds and never increment `roundsStarted`.
+
+The plugin has no configuration. `maxGoalRounds` is resolved and persisted by `dsh-goal`, and the same-condition blocking threshold is resolved and prompted by `dsh-tool-goal`. Repeating those tunables in the driver would create multiple owners for one policy.
+
+### Reservation and admission
+
+When an agent is idle, has no competing queued work, and its current goal is `active` plus `armed`, the driver checkpoints pending goal mutations and rechecks every predicate after the await. If `roundsStarted` already equals `maxGoalRounds`, it records `blocked` with code `round-limit`. Otherwise it reserves the exact identity `{ goalId, revision, round: roundsStarted + 1 }` and the complete rendered prompt before calling `Agent.send()` with `GoalMessageSource`. The prompt JSON-quotes the objective so multiline or tag-like text remains an unambiguous data value inside the familiar frame.
+
+The `agent/prompt-submit` waterfall is the admission fence. A positive goal source is allowed only when it exactly matches the driver's pending identity and content, the live goal still has that id and revision, activation remains armed, and the round is still the next number. The plugin checks once before delegating and again after downstream hooks return. This second check prevents an async hook from editing or pausing the goal while still admitting the old prompt.
+
+Only the resulting `user/message` is an admitted round and advances the goal fold. A stale reservation becomes a durable `prompt/blocked` plus zero-step rejected turn, but the driver marks it stale and does not charge the round. A downstream policy rejection that is not caused by staleness blocks the goal rather than retrying around policy.
+
+### Human work and revision races
+
+`agent/queued` distinguishes the driver's complete accepted record from every other prompt. Ordinary work already queued before a reservation prevents scheduling. Ordinary work queued while an automatic prompt is pending makes that reservation stale, so a mixed batch admits the human prompt but rejects the automatic one. Ordinary work arriving after the goal round was admitted remains queued for its own next turn; continuation is reconsidered only when the agent later becomes idle.
+
+A goal mutation during a round advances its durable revision. Settlement of the older revision cannot overwrite that mutation. The driver discards the old attempt outcome, reads the new projection, and continues only if the new revision is still active and armed. This makes model-recorded completion, pause, block, and edit authoritative over the physical turn's later close reason.
+
+### Settlement
+
+The driver classifies one closed goal-owned turn as follows:
+
+| Turn result | Action |
+|---|---|
+| durable `completed` | continue while active/armed and under cap |
+| cancellation of a reserved/admitted goal round, or its `aborted` result | pause and disarm |
+| `error` with code `RATE_LIMIT` or `QUOTA` | block with code `usage-limited` |
+| other `error` | block with code `turn-error` |
+| `max-tokens` | block with code `max-tokens` |
+| non-stale `rejected` | block with code `prompt-rejected` |
+| failed durability checkpoint | disarm without changing durable phase |
+| `disposed` or `interrupted` | disarm |
+| plugin-added unknown result | block for inspection |
+
+No abnormal outcome requests an automatic retry. A later human prompt can ask to continue in any language; the model reads the stopped goal and uses the goal tool's resume action, which records a new revision and arms continuation.
+
+### Durability and cancellation seam
+
+Every `goal/changed` notification creates a checkpoint obligation. The driver awaits `ctx.sessions.flush(session)` before reserving work, then checks for a newer mutation, agent lifecycle change, or competing prompt. Turn-end flush failure is reported by the existing `agent/error` notification after `turn/end`; the driver finds that exact closed turn even when a concurrent one-shot injection appended a later turn, associates the failure with the exact attempt, and disarms before the next idle decision.
+
+Broad cancellation previously exposed only its effects after queues were cleared or the request aborted. The public agent vocabulary now includes observe-only `agent/cancel-requested(agent, reason)`. The concrete loop emits it for effective cancellation before either action; fused notification containment means a broken listener cannot veto cancellation. The goal driver uses this edge to clear its reservation before the loop destroys the queued-work evidence. When that reservation is a queued or admitted goal attempt, cancellation durably pauses the goal; when cancellation belongs to unrelated human work with no goal attempt, it only removes process-local activation. If the pause mutation throws, the driver falls back to disarming rather than allowing cancelled automatic work to restart.
+
+This is a coordination notification, not a second stop API. `Agent.cancel()` remains the only public broad cancellation verb, idle calls remain no-ops, and custom `Agent` implementations that claim the interface must honor the event ordering if consumers depend on it.
+
+### Process lifecycle
+
+`GoalService.disarm(agent)` removes only process-local activation. It writes no session event, changes no revision, and emits no goal mutation. The driver calls it while loading over existing agents, on durability uncertainty, and before teardown; a later `resume` is the durable activation edge visible to the model.
+
+The driver's event listeners and quiescent close are nested in one ordered Cordis effect. Cordis unloads sibling effects concurrently, so separate listener and cleanup registrations could remove the prompt fence while an async disposer was still draining. The composite effect first closes admission, disarms goals, cancels an admitted attempt, and awaits both agent and driver quiescence; only then does it unregister its listeners.
+
+An inbox acceptance can win the microtask race immediately before plugin unload begins. In that case the turn and even its first request may start and the round remains durably charged; once unload starts, cancellation aborts it, no following round is scheduled, and the goal remains active but disarmed. Pretending that already-observed admission never happened would corrupt replay accounting.
+
+## Testing
+
+The unit suite uses the real agent loop and session service with only the model scripted. It covers exact sequential admission and cap enforcement, load/resume inertness, every outcome classification, rate limiting, request errors, max tokens, downstream prompt veto, pre-admission and in-flight cancellation, unrelated-human cancellation, failed-pause fallback, human-input ordering, queued and downstream revision races, forged goal attribution, failed mutation and turn checkpoints including a later one-shot injection, scheduler and custom-agent failures, session-start reset, exact lifecycle retirement, and queued/running plugin teardown. The new driver source has per-file 100% statement, branch, function, and line coverage.
+
+A keyless ACP snapshot mounts the shipped editor app with the real goal domain, goal tools, goal driver, agent loop, persistence, and replay adapter through `cordis.yml`. One human turn creates and inspects a two-round goal, the first automatic turn stops normally, and ACP cancellation of a deliberately stalled second round records a durable pause. The normalized wire transcript and external JSONL assertions prove one session, round sources `1, 2`, the lifecycle mutation, and exact replay accounting without using `echo-agent` as an application surrogate.
+
+The core cancellation test proves notification order and containment: observers run only for effective cancellation, can queue replacement work before the inbox clear, cannot veto later observers by throwing, and an idle call emits nothing.
+
+## Alternatives considered
+
+- **Add a goal loop inside `dsh-agent-loop`** — rejected because the public queue, prompt, session, cancellation, and status seams are sufficient, and a concrete-loop branch would privilege one policy.
+- **Use `agent/turn-continuation` to make every round another step** — rejected because a goal round is an outer policy iteration and must have its own durable user prompt, turn boundary, round count, and failure settlement.
+- **Persist a pending reservation** — rejected because a crash cannot prove that queued process memory had reached admission; only the durable `user/message` consumes the round.
+- **Retry provider or persistence errors automatically** — rejected because retry policy spends resources and needs explicit authority; stopped phases plus later human resume are simpler and observable.
+- **Fork conversation history or spawn a fresh agent for every round** — rejected for this package because the goal is explicitly same-session work. Fresh-agent Ralph execution remains a separate workflow plugin built from subagent and workflow primitives.
+- **Reuse every session turn as the round counter** — rejected because human clarification and unrelated work share the session but not the automatic-work budget.
+
+## Consequences
+
+- Goal continuation remains a removable plugin and the concrete loop gains only a generic observe-before-cancel notification.
+- Replay can reconstruct every admitted round from its exact goal source and prompt; rejected reservations cannot create phantom budget use.
+- Human messages and lifecycle mutations win documented races without corrupting the revision or counter.
+- Resume and fork remain inert until semantic human intent causes the model to record a resume mutation.
+- Conservative failure mapping can require manual continuation after transient failures, but it never hides an automatic retry.
+
+## Known limitations and deferred work
+
+- Completion evidence and semantic blocker equivalence remain model judgments. An independent evaluator, completion certificate, or verifier-driven stop policy is deferred to a separate policy plugin.
+- This package does not provide Ralph-style fresh-agent attempts, context reset, cross-round evaluator feedback, or workflow-level parallelism; those belong to the separate Ralph workflow tool.
+- Cordis unload begins asynchronously. An already accepted inbox item may enter one charged round and start one request before teardown cancellation takes effect; the closing drain prevents every subsequent round.
+- `maxGoalRounds` is only an admitted-round limit. Token, currency, wall-clock, and provider-usage budgets require independent policy.
+- A custom `Agent` implementation must produce the documented session events, status edges, cancel notification, and quiescence semantics; structural TypeScript compatibility alone cannot verify runtime ordering.

.agents/notes/implemented/feature/2026-07-19-same-session-goal-round-driver.zh.md

@@ -0,0 +1,100 @@
+# Agent Note: 同会话目标回合驱动器
+
+Status: implemented
+
+[English](2026-07-19-same-session-goal-round-driver.md) | 中文
+
+## 问题
+
+目标领域可以保留目标，模型可见工具也可以变更其生命周期，但两者都不应决定下一个模型轮次何时开始。继续执行驱动器必须把活跃目标状态连接到普通 agent（智能体）循环，同时不能向 `dsh-agent-loop` 添加目标专用分支、创建第二段对话，也不能把每个人类轮次都视为自主迭代。
+
+这层连接还承担并发与持久性义务。人类输入、取消、目标编辑、持久化失败、会话重启、插件卸载以及下游提示词策略都可能与待处理的继续执行发生竞争。简单的 `goal/changed -> agent.send()` 监听器可能接纳过期工作、与人类提示词同时运行、超出上限消耗资源，或在回放后未经新授权自行重启。
+
+## 决策
+
+位于 `packages/goal/goal-session/` 的 `@deepseek-ai/dsh-goal-session` 是构建在 `ctx.goals`、公共 `Agent` 接口和持久会话事件之上的策略插件。它不导入具体 agent-loop 实现。对于每个完全相同的实时 `Agent`，它维护进程内调度状态，并且最多保留一个自动回合预留。
+
+层次关系为目标（Goal）→ 目标回合（Goal Round）→ 轮次（Turn）→ 步骤（Step）。目标回合是外层继续执行策略的一次迭代；它会成为一个归属于目标的会话轮次，而该轮次可以包含任意数量的普通模型或工具步骤。同一会话中的人类轮次不是目标回合，也绝不会增加 `roundsStarted`。
+
+该插件没有配置项。`maxGoalRounds` 由 `dsh-goal` 解析并持久化；“相同阻塞条件”的门槛由 `dsh-tool-goal` 解析并写入提示词。若驱动器重复声明这些可调值，一个策略就会出现多个所有者。
+
+### 预留与接纳
+
+当 agent 空闲、没有竞争中的排队工作，且当前目标为 `active` 加 `armed` 时，驱动器会先检查点持久化待处理的目标变更，并在等待之后重新校验所有条件。若 `roundsStarted` 已等于 `maxGoalRounds`，它会记录代码为 `round-limit` 的 `blocked`；否则，它会先预留精确身份 `{ goalId, revision, round: roundsStarted + 1 }` 和完整渲染提示词，再以 `GoalMessageSource` 调用 `Agent.send()`。提示词用 JSON 引号编码目标描述，使多行或类似标签的文本在熟悉框架中仍是无歧义的数据值。
+
+`agent/prompt-submit` 瀑布是接纳栅栏。正数目标来源只有在完全匹配驱动器待处理的身份和内容、实时目标仍具有相同 id 与修订号、激活态仍为 armed，并且该回合仍是下一个编号时才会获准。插件在委托下游监听器前检查一次，在下游返回后再检查一次。第二次检查防止异步钩子编辑或暂停目标后，旧提示词仍被接纳。
+
+只有最终产生的 `user/message` 才是已接纳目标回合，并推进目标折叠。过期预留会生成持久的 `prompt/blocked` 和零步骤 rejected 轮次，但驱动器会把它标记为过期，不消耗回合数。若下游策略拒绝并非由过期导致，目标会进入 blocked，而不会绕过该策略自动重试。
+
+### 人类工作与修订竞争
+
+`agent/queued` 会区分驱动器自己的完整已接受记录与其他所有提示词。预留之前已经排队的普通工作会阻止调度；自动提示词待处理时进入的普通工作会使该预留过期，因此混合批次只接纳人类提示词而拒绝自动提示词。目标回合已经接纳后到达的普通工作会保留在队列中，成为下一个独立轮次；只有 agent 再次空闲后才重新考虑继续执行。
+
+目标在回合内发生变更时会推进持久修订号。旧修订的结算不得覆盖该变更。驱动器会丢弃旧尝试的结果、读取新投影，并且只在新修订仍为 active 与 armed 时继续。因此，模型记录的完成、暂停、阻塞和编辑相对于物理轮次稍后的关闭原因具有最终权威。
+
+### 结算
+
+驱动器按下表分类一个已经关闭、归属于目标的轮次：
+
+| 轮次结果 | 动作 |
+|---|---|
+| 持久的 `completed` | 目标仍 active/armed 且未到上限时继续 |
+| 取消已预留/接纳的目标回合，或该回合产生 `aborted` 结果 | 暂停并解除激活 |
+| 代码为 `RATE_LIMIT` 或 `QUOTA` 的 `error` | 以 `usage-limited` 代码阻塞 |
+| 其他 `error` | 以 `turn-error` 代码阻塞 |
+| `max-tokens` | 以 `max-tokens` 代码阻塞 |
+| 非过期的 `rejected` | 以 `prompt-rejected` 代码阻塞 |
+| 持久检查点失败 | 解除激活，但不改变持久阶段 |
+| `disposed` 或 `interrupted` | 解除激活 |
+| 插件新增的未知结果 | 阻塞并等待检查 |
+
+异常结果都不会请求自动重试。之后的人类提示词可以用任何语言要求继续；模型读取已停止目标并调用目标工具的 resume 动作，记录新修订并重新激活继续执行。
+
+### 持久性与取消接缝
+
+每次 `goal/changed` 通知都会产生一个检查点义务。驱动器在预留工作前等待 `ctx.sessions.flush(session)`，随后检查是否出现了更新的变更、agent 生命周期变化或竞争提示词。轮次结束时的 flush 失败会在 `turn/end` 之后通过现有 `agent/error` 通知报告；即使并发的一次性注入已追加后续轮次，驱动器仍会找到该精确的已关闭轮次，把失败关联到精确尝试，并在下一次空闲决策前解除激活。
+
+广义取消此前只在队列已清除或请求已中止后暴露结果。公共 agent 词汇现在新增只观察的 `agent/cancel-requested(agent, reason)`。具体循环仅在取消有效时发出该事件，并且发生在清除队列和中止步骤之前；融合通知会隔离失败，因此损坏的监听器不能否决取消。目标驱动器利用该边沿在循环销毁排队工作证据前清除预留。若该预留是排队中或已接纳的目标尝试，取消会持久暂停目标；若取消属于没有目标尝试的无关人类工作，则只移除进程内激活态。若暂停变更抛错，驱动器会回退到解除激活，避免已取消的自动工作重新启动。
+
+该通知是协调事件，不是第二个停止 API。`Agent.cancel()` 仍是唯一的公共广义取消动词，空闲调用仍是无操作；若消费者依赖此接缝，自定义 `Agent` 实现就必须满足该事件顺序。
+
+### 进程生命周期
+
+`GoalService.disarm(agent)` 只移除进程内激活态。它不写会话事件、不改变修订号，也不发出目标变更。驱动器在加载到已有 agent、持久性存在不确定性以及卸载前调用该方法；之后的 `resume` 才是模型可见的持久激活边沿。
+
+驱动器的事件监听器和静止关闭嵌套在同一个有序 Cordis effect 中。Cordis 会并发卸载同级 effect；若监听器和清理分别注册，异步 disposer 仍在排空时提示词栅栏就可能已被移除。组合 effect 会先关闭接纳、解除目标激活、取消已接纳尝试，并等待 agent 与驱动器都达到静止；之后才注销监听器。
+
+紧邻插件开始卸载前，收件箱接纳可能赢得微任务竞争。在这种情况下，轮次甚至首个请求都可能已经开始，且该回合仍会持久计费；卸载一旦开始，取消就会中止它，不会再调度后续回合，目标保持 active 但 disarmed。若假装已经观测到的接纳从未发生，就会破坏回放计数。
+
+## 测试
+
+单元测试使用真实 agent loop 与会话服务，只对模型编写脚本。覆盖内容包括精确连续接纳和上限执行、加载与恢复的惰性、所有结果分类、限流、请求错误、最大 token、下游提示词否决、接纳前与执行中取消、无关人类工作取消、暂停失败回退、人类输入排序、排队时与下游修订竞争、伪造目标来源、变更与轮次检查点失败（包括后续一次性注入）、调度器与自定义 agent 失败、会话启动重置、精确生命周期退出，以及排队中和运行中的插件卸载。新驱动器源码达到逐文件 100% 语句、分支、函数和行覆盖率。
+
+无密钥 ACP 快照通过 `cordis.yml` 挂载已发布的编辑器应用，以及真实目标领域、目标工具、目标驱动器、agent loop、持久化和回放适配器。一个人类轮次创建并检查一个两回合目标；第一个自动轮次正常停止，ACP 随后取消刻意停滞的第二个回合并记录持久暂停。规范化线协议和外部 JSONL 断言证明只有一个会话、回合来源依次为 `1, 2`、生命周期变更与回放计数精确，并且没有把 `echo-agent` 当作应用替身。
+
+核心取消测试固定通知顺序与隔离：只有有效取消才会通知；观察者可以在清空收件箱前排入替代工作；抛错不能阻止后续观察者；空闲调用不会发出事件。
+
+## 考虑过的替代方案
+
+- **在 `dsh-agent-loop` 内添加目标循环**——不予采纳，因为公共队列、提示词、会话、取消和状态接缝已经足够，具体循环分支还会赋予某种策略特权。
+- **使用 `agent/turn-continuation` 把每个回合变成另一个步骤**——不予采纳，因为目标回合是外层策略迭代，必须拥有自己的持久用户提示词、轮次边界、回合计数和失败结算。
+- **持久化待处理预留**——不予采纳，因为崩溃无法证明进程内队列已经达到接纳点；只有持久 `user/message` 才消耗回合。
+- **自动重试提供方或持久化错误**——不予采纳，因为重试会消耗资源，需要显式授权；停止阶段加之后的人类恢复更简单，也可观察。
+- **每回合 fork 对话历史或生成新 agent**——本包不采用，因为此目标明确属于同会话工作。新 agent 的 Ralph 执行仍是基于 subagent 与 workflow 原语的独立工作流插件。
+- **把每个会话轮次当作回合计数**——不予采纳，因为人类澄清和无关工作共享会话，但不共享自动工作预算。
+
+## 后果
+
+- 目标继续执行仍是可移除插件，具体循环只新增一个通用的“取消前观察”通知。
+- 回放可以从精确目标来源和提示词重建每个已接纳回合；被拒绝的预留不会产生虚假的预算消耗。
+- 人类消息和生命周期变更可以在有文档约束的竞争中胜出，而不破坏修订号或计数器。
+- 恢复和 fork 在语义上的人类意图促使模型记录 resume 变更之前始终保持惰性。
+- 保守的失败映射可能要求在暂时性错误后手动继续，但绝不会隐藏自动重试。
+
+## 已知限制与延期工作
+
+- 完成证据和阻塞条件的语义等价性仍由模型判断。独立评估器、完成证书或由验证器驱动的停止策略延期到独立策略插件。
+- 本包不提供 Ralph 风格的新 agent 尝试、上下文重置、跨回合评估反馈或工作流级并行；它们属于独立的 Ralph 工作流工具。
+- Cordis 卸载异步开始。已经被收件箱接受的条目可能先进入一个计费回合并启动一个请求，之后卸载取消才生效；关闭排空会阻止所有后续回合。
+- `maxGoalRounds` 只是已接纳回合上限。token、费用、挂钟时间和提供方使用预算需要独立策略。
+- 自定义 `Agent` 实现必须产生文档规定的会话事件、状态边沿、取消通知和静止语义；仅凭 TypeScript 结构兼容无法验证运行时顺序。

.agents/notes/implemented/feature/2026-07-20-windows-tui-support.i18n.yaml

@@ -0,0 +1,6 @@
+# Bilingual-pair consistency record (docs/i18n/README.md): the git blob hash of each
+# side as of the last confirmed-consistent state. Both languages carry equal authority;
+# after editing either side, bring the other along and re-record with:
+#   pnpm run verify-translation-pairing --write
+2026-07-20-windows-tui-support.md: 6b728486dd50faac067933ce06f883447aae821f
+2026-07-20-windows-tui-support.zh.md: 2b53b05ff6231361d79b4304181dc0e6d8e24e68

.agents/notes/implemented/feature/2026-07-20-windows-tui-support.md

@@ -0,0 +1,33 @@
+# Agent Note: Support the TUI on Windows
+
+Status: implemented
+
+English | [中文](2026-07-20-windows-tui-support.zh.md)
+
+## Problem
+
+The full-screen TUI delegates raw input, ANSI rendering, resize events, and terminal restoration to pi-tui's `ProcessTerminal`. That dependency contains a native Windows console path, but the repository's real-process smoke used Python's POSIX-only `pty` and `termios` modules. Skipping that smoke on Windows would leave the supported product path without coverage for startup, input, interaction, failure reporting, or restoration.
+
+The TUI platform contract must follow the runtime shipped to users rather than the portability of one test driver. A platform exclusion is justified only when the product has an unsupported runtime dependency or a demonstrated semantic gap.
+
+## Decision
+
+[`@deepseek-ai/dsh-tui`](../../../../packages/ui/tui/README.md) supports interactive terminals on Windows as well as macOS and Linux. The product continues to use pi-tui's `ProcessTerminal`; on Windows it enables virtual-terminal input after raw mode and avoids the Unix-only `SIGWINCH` refresh. DeepSeek Harness adds no platform rejection or reduced Windows mode.
+
+The real Loader smoke selects a native pseudo-terminal boundary by host. macOS and Linux retain the Python POSIX PTY driver. Windows uses `node-pty` and ConPTY. Both drivers receive the same launch command, environment, terminal dimensions, marker-gated input actions, timeout, expected exit code, and output assertions, and all three smoke scenarios run on every supported platform.
+
+`node-pty` is a test-only dependency of the examples workspace. Its reviewed native install script is explicitly enabled in `pnpm-workspace.yaml`; production TUI packages do not acquire a new dependency or subprocess layer.
+
+## Alternatives considered
+
+- **Declare the TUI unsupported on Windows** — rejected because the pinned terminal runtime implements Windows console input explicitly and the harness has no POSIX-only production dependency. A documentation-only exclusion would discard an existing product path to accommodate a test harness gap.
+- **Run the POSIX driver through MSYS, Cygwin, or WSL** — rejected because that would test a compatibility environment rather than the native Windows console path users run.
+- **Use `node-pty` on every host** — rejected because the established POSIX driver already provides the macOS and Linux boundary; replacing it would widen the runtime change without improving those hosts. Platform-specific drivers reserve the `node-pty` runtime path for Windows while sharing one scenario contract.
+- **Rely on renderer unit tests and semantic terminal snapshots** — rejected because fake terminals do not prove Loader boot, real raw input, process exit, or terminal restoration at the operating-system boundary.
+
+## Consequences
+
+- The Windows artifact lane executes the startup, scripted interaction, resume-failure, and restoration scenarios, and the suite has no supported-platform skip.
+- The Windows process proof depends on ConPTY and a pinned `node-pty` release; changing that dependency or its allowed install script requires native-boundary review.
+- The two PTY drivers can differ internally, but shared inputs and assertions keep their observable TUI contract aligned.
+- Windows support remains bounded by the Node and pi-tui versions shipped by the repository; unsupported historical Windows console environments do not receive a compatibility layer.

.agents/notes/implemented/feature/2026-07-20-windows-tui-support.zh.md

@@ -0,0 +1,33 @@
+# Agent Note: 在 Windows 上支持 TUI
+
+Status: implemented
+
+[English](2026-07-20-windows-tui-support.md) | 中文
+
+## 问题
+
+全屏 TUI 将原始输入、ANSI 渲染、终端尺寸变更事件和终端恢复委托给 pi-tui 的 `ProcessTerminal`。该依赖已实现原生 Windows 控制台路径，但仓库的真实进程冒烟测试此前使用 Python 中仅适用于 POSIX 的 `pty` 和 `termios` 模块。若在 Windows 上跳过该测试，这条受支持的产品路径便会缺少针对启动、输入、交互、失败报告和终端恢复的测试覆盖率。
+
+TUI 平台契约必须以交付给用户的运行时为准，而不是取决于某个测试驱动程序的可移植性。只有产品存在不受支持的运行时依赖，或已证实存在语义缺口时，排除某个平台才有依据。
+
+## 决策
+
+[`@deepseek-ai/dsh-tui`](../../../../packages/ui/tui/README.md) 在 Windows、macOS 和 Linux 上均支持交互式终端。产品继续使用 pi-tui 的 `ProcessTerminal`；在 Windows 上，它会在进入原始模式后启用虚拟终端输入，并避开仅适用于 Unix 的 `SIGWINCH` 刷新。DeepSeek Harness 不增加平台拒绝逻辑，也不采用功能受限的 Windows 模式。
+
+真实 Loader 冒烟测试根据宿主选择原生伪终端边界。macOS 和 Linux 继续使用 Python POSIX PTY 驱动，Windows 则使用 `node-pty` 和 ConPTY。两种驱动接收相同的启动命令、环境、终端尺寸、以标记为触发条件的输入动作、超时、预期退出码和输出断言；3 个冒烟场景都会在每个受支持平台上运行。
+
+`node-pty` 是 examples 工作区仅供测试使用的依赖。该依赖经评审的原生安装脚本在 `pnpm-workspace.yaml` 中显式启用；生产 TUI 包（package）不会新增依赖或子进程层。
+
+## 曾考虑的替代方案
+
+- **声明 TUI 不支持 Windows**：不予采纳，因为固定版本的终端运行时已显式实现 Windows 控制台输入，且 harness 没有仅适用于 POSIX 的生产依赖。仅通过文档排除 Windows，等于为迁就测试 harness 的缺口而舍弃现有产品路径。
+- **通过 MSYS、Cygwin 或 WSL 运行 POSIX 驱动**：不予采纳，因为这会测试兼容环境，而不是用户实际运行的原生 Windows 控制台路径。
+- **在所有宿主上使用 `node-pty`**：不予采纳，因为现有 POSIX 驱动已经为 macOS 和 Linux 提供所需边界；替换该驱动会扩大运行时变更范围，却不会给这两个宿主带来改进。按平台选择驱动，仅在 Windows 上启用 `node-pty` 运行时路径，同时共享同一份场景契约。
+- **依赖渲染器单元测试和语义终端快照**：不予采纳，因为模拟终端无法证明 Loader 启动、真实原始输入、进程退出或操作系统边界上的终端恢复。
+
+## 后果
+
+- Windows 产物 lane 执行启动、脚本化交互、配置恢复失败和终端恢复场景，这套测试不会在任何受支持平台上跳过。
+- Windows 进程级验证依赖 ConPTY 和固定版本的 `node-pty`；变更该依赖或允许执行的安装脚本时，必须进行原生边界评审。
+- 两种 PTY 驱动的内部实现可以不同，但共享的输入和断言会使其可观测 TUI 契约保持一致。
+- Windows 支持范围以仓库交付的 Node 和 pi-tui 版本为界；不受支持的旧版 Windows 控制台环境不会获得兼容层。

.agents/notes/implemented/feature/2026-07-21-log-backed-session-titles.i18n.yaml

@@ -0,0 +1,6 @@
+# Bilingual-pair consistency record (docs/i18n/README.md): the git blob hash of each
+# side as of the last confirmed-consistent state. Both languages carry equal authority;
+# after editing either side, bring the other along and re-record with:
+#   pnpm run verify-translation-pairing --write
+2026-07-21-log-backed-session-titles.md: cd0d2a4bab9b6504c65e942c0e03bce79488364e
+2026-07-21-log-backed-session-titles.zh.md: b90ac6c59677e6542733210b91de38ef1169c760

.agents/notes/implemented/feature/2026-07-21-log-backed-session-titles.md

@@ -0,0 +1,60 @@
+# Agent Note: Log-backed session titles
+
+Status: implemented
+
+English | [中文](2026-07-21-log-backed-session-titles.zh.md)
+
+## Problem
+
+A session needs a short human-facing title before an editor, terminal, or query consumer can present it usefully. The cheapest implementation can derive one from the first prompt, while higher-quality implementations may call a model over the first prompt or the whole conversation. Those strategies have different latency, cost, routing, and retry behavior, but every consumer needs one durable source of truth.
+
+Session identity metadata is immutable, the event log is the replay and fork boundary, and every event must remain turn-enclosed. A model-generated title often finishes after the main turn closes, so writing it synchronously would delay the agent response while writing it as mutable metadata would bypass ordinary persistence, replay, and lineage semantics. Concurrent prompts, provider HMR, cancellation, and ignored abort signals also make an unfenced background result capable of overwriting a newer title.
+
+## Decision
+
+The [`session-title` capability family](../../../../packages/session-title/README.md) owns title state and generation policy. `@deepseek-ai/dsh-session-title` provides `ctx.sessionTitle`, a deterministic first-message fallback, and a registry for at most one optional asynchronous provider. `@deepseek-ai/dsh-session-title-llm` owns the common auxiliary-model request policy; separate first-message and all-user-messages plugins choose input cadence. The shared agent spine mounts only the fallback service with overridable explicit example limits, leaving both model providers opt-in.
+
+### Event ownership and folding
+
+Every accepted revision is a log-only `session/title` event. Its payload contains normalized non-empty text, the exact eligible human `user/message` seqs used to derive it, and either fallback provenance or the registered provider id plus optional provider/model route. Before an auxiliary title-model dispatch, the shared helper appends a log-only `session/title-llm-request` event containing the title-provider id, exact source seqs, route, system prompt, messages, and output-token cap; a later generation failure leaves the request auditable. The dispatched envelope is deep-frozen to preserve exact agreement with that record but carries no process-local agent-loop request identity, so loop-only reconstruction checks do not compare it with the main conversation header. Validation failures that never reach dispatch create no request event. `foldSessionTitle()` selects the latest title event and adds that event's seq and timestamp as `SessionTitleSnapshot`. Neither event enters `session.surface` or `deriveMessages()`.
+
+The core session package exposes `ctx.sessions.appendOutOfBand()` only for plugin event types whose owners also declaration-merge an `OutOfBandSessionEventMap` marker. An open turn receives the log-only event directly and owns its normal checkpoint. A closed log receives `turn/start → event → turn/end` under the plugin's trigger, followed by an awaited flush. Once the synthetic turn opens, target-append failure still attempts to close and flush it; detach is deferred until the sequence settles. Session titles contribute the source-free `session-title` zero-step trigger and opt both title event types into this seam. No message caused that trigger, so consumers of the merge-extensible `TurnTriggerMap` discriminate `kind` before reading variant fields; goal-round admission, for example, ignores every non-`message` trigger.
+
+### Input and asynchronous timing
+
+Only text blocks from human-source `user/message` events are eligible. Empty, control-only, and non-text prompts wait for the next eligible message. The service schedules the first fallback without awaiting it from the prompt path, normalizes whitespace and control sequences, applies the configured word and UTF-8 byte limits without splitting a code point, and records the first message seq.
+
+Automatic provider work starts only after the main loop has a current logged provider/model route. A newly appended `request/header` starts pending work directly; when the header is unchanged, the marked loop-built `llm/stream` request starts it after matching the folded route. Generation then runs independently of the agent response, and a completion joins whichever turn is open at acceptance time or uses the zero-step append path. Explicit `refresh(session, signal?)` materializes any missing fallback and awaits the registered provider; without a provider it returns the fallback. Caller cancellation during fallback flush does not roll back the durable append, but `refresh()` rechecks the signal and rejects instead of returning success. Concurrent refreshes reserve their session-local revision before waiting for fallback durability, so a newer call supersedes an older call before either can invert provider completion order. Automatic work and concurrent refreshes share one session-local in-flight fallback promise, so the first fallback creates only one title event and zero-step turn. All title-capability out-of-band writes share a per-session settlement queue; a replacement model request waits for any earlier title write, while the superseded model call itself remains independently abortable and cannot commit stale output. A title accepted during asynchronous compaction remains log-only, so the compactor's post-summary surface-node check tolerates it; a concurrent surface mutation still invalidates the replacement.
+
+The first-message provider schedules once when a fresh session first creates its fallback. An automatic failure does not reschedule on later prompts; `refresh()` is the retry path. The all-messages provider schedules after every eligible human prompt and passes all eligible messages through that revision, including seeded history. Its newer revision aborts and supersedes older pending or active work.
+
+### Registration, routing, and failure policy
+
+`register(provider)` validates one branded stable id, cadence, and generation function, then returns an awaitable effect disposer. A second live registration throws immediately. Provider disposal marks the registration closing, aborts its pending and active work, and waits for every call to settle before removing the registration, so replacement cannot overlap a provider that ignores cancellation. Session disposal aborts its active work. Service teardown prevents queued fallback and provider microtasks from starting, aborts active work, and drains tracked promises before unloading completes. Every session-local generation has a monotonic revision and exact registration identity; acceptance rechecks revision, registration, session liveness, service liveness, and cancellation, so stale output cannot commit.
+
+Model providers require explicit word, CJK-character, input-byte, output-token, and timeout limits. Optional `provider` and `model` overrides are a pair; without them the helper uses the exact route from the logged main request header. Selected messages are framed as JSON under one fixed language-aware instruction. The input limit measures that final user prompt, including wrappers, seq fields, and JSON escaping, before the request is logged or dispatched. Oversized input is rejected rather than truncated because truncation would make the recorded source seqs falsely imply complete use. The fused deadline is checked while consuming each stream chunk and after completion, so a successful result returned after timeout cannot be accepted even when an interceptor or adapter ignores abort.
+
+Automatic provider failures are nonfatal warnings and retain the latest title. Explicit refresh failures reject to the caller. Output must be non-empty text with unique ordered seqs drawn from the fixed request; the service normalizes and byte-limits it before durable acceptance.
+
+### Forks and consumers
+
+A fork inherits seed title events unchanged, like the rest of its source log. The first-message provider does not automatically retitle a fork. The all-messages provider may append a child-owned revision after a later child prompt, using inherited and new eligible messages.
+
+`ctx.sessionQuery.readTitle()` folds one live-preferred or persisted log without loading titles during `listSessions()`. ACP maps the event to `session_info_update` during both live streaming and load replay, using the event timestamp for `updatedAt`. The TUI uses the latest title as its header subtitle and sets the terminal window title to `<session title> — <configured product title>` after terminal-safe rendering. A synthetic title turn remains a completed durability boundary for the metadata write; consumers reporting agent completion use the core `findLastMessageTurnEnd()` fold so a later title, injection, or other plugin-owned turn cannot replace the preceding message-triggered outcome.
+
+## Alternatives considered
+
+- **Mutable `SessionHeader` or side metadata** — rejected because it creates a second persistence mutation protocol, weakens immutable identity metadata, makes crash atomicity backend-specific, and gives forks ambiguous copy-versus-reference behavior. The append-only log already owns replayable latest-wins state.
+- **Await title generation before returning the agent response** — rejected because auxiliary provider latency and failure would sit on the main interaction's critical path. The deterministic fallback gives immediate useful state while a better title may arrive later.
+- **Put titles in derived history or the request prefix** — rejected because UI metadata would consume tokens, change cache identity, and make the main model observe its own label. A log-only event remains reconstructable without becoming model-visible.
+- **Permit multiple registered providers and resolve precedence after completion** — rejected because completion order is not product precedence and would make retries, HMR, and provenance nondeterministic. A deployment that needs a composite policy can register one provider that owns that policy.
+- **Silently truncate oversized auxiliary input** — rejected because the provider result would claim exact source-message provenance while receiving only partial text. Keeping the prior title and warning preserves truthful attribution.
+- **Index titles in `listSessions()` immediately** — rejected because the existing lightweight metadata list would need per-backend derived-index synchronization. Exact `readTitle()` establishes the read contract without precommitting search or indexing policy.
+
+## Consequences
+
+- Titles survive JSONL and SQLite persistence, replay through ACP, and follow fork inheritance without a separate mutable record.
+- A fallback appears without an auxiliary call; deployments choose whether better titles justify model cost and whether later prompts should retitle a session.
+- Auxiliary request records and late accepted titles consume event seqs and may create balanced zero-step turns, so persistence exposes both attempted dispatches and accepted updates even though model history and KV-cache identity do not change.
+- One provider and monotonic per-session revisions make disposal, supersession, and stale-result rejection explicit, at the cost of leaving multi-strategy precedence to a composite provider.
+- Manual rename, deletion, generated-versus-user precedence, search, and list indexing remain outside the capability.

.agents/notes/implemented/feature/2026-07-21-log-backed-session-titles.zh.md

@@ -0,0 +1,60 @@
+# Agent Note: 基于日志的会话标题
+
+Status: implemented
+
+[English](2026-07-21-log-backed-session-titles.md) | 中文
+
+## 问题
+
+会话需要一个面向用户的简短标题，编辑器、终端或查询消费方才能有效呈现它。成本最低的实现可以从第一条提示词派生标题，质量更高的实现则可以让模型处理第一条提示词或整个对话。这些策略在延迟、成本、路由和重试行为上各有不同，但所有消费方都需要一个持久的真源。
+
+会话身份元数据不可变，事件日志是回放和 fork 的边界，而且每个事件都必须包围在轮次内。模型生成的标题往往在主轮次结束后才完成，因此同步写入会延迟 agent（智能体）响应，而作为可变元数据写入则会绕过常规的持久化、回放和沿袭语义。并发提示词、提供方 HMR（热模块替换）、取消以及被忽略的中止信号，还可能让未受版本校验约束的后台结果覆盖更新的标题。
+
+## 决策
+
+[`session-title` 功能包族](../../../../packages/session-title/README.md)负责标题状态和生成策略。`@deepseek-ai/dsh-session-title` 提供 `ctx.sessionTitle`、确定性的首消息回退方案，以及一个至多接受单个可选异步提供方的注册表。`@deepseek-ai/dsh-session-title-llm` 负责通用的辅助模型请求策略；首消息插件和全部用户消息插件分别选择输入调度方式。共享 agent 主干只挂载回退服务，并为其显式设置可覆盖的示例限制；两种模型提供方均需按需启用。
+
+### 事件归属与折叠
+
+每个已接受的修订都是纯日志 `session/title` 事件。其载荷包含规范化后的非空文本、用于派生标题的所有合格且来源为人类的 `user/message` 的准确 seq，以及回退来源信息，或已注册的提供方 id 加可选的提供方和模型路由。辅助标题模型发起调用前，共享辅助组件会追加一个纯日志 `session/title-llm-request` 事件，其载荷包含标题提供方 id、准确的源 seq、路由、系统提示词、消息和输出 token 上限；即使后续生成失败，这次请求仍可审计。发送的请求信封经过深度冻结，以确保其与该记录精确一致，但它有意不携带进程本地的 agent loop（智能体循环）请求身份，因此仅针对 agent loop 的重建检查不会将它与主对话请求头进行比较。未进入调用阶段的验证失败不会创建请求事件。`foldSessionTitle()` 选择最新的标题事件，并将该事件的 seq 和时间戳加入 `SessionTitleSnapshot`。这两类事件都不会进入 `session.surface` 或 `deriveMessages()`。
+
+核心会话包通过 `ctx.sessions.appendOutOfBand()` 暴露这一接口，但只允许所属插件同时通过声明合并向 `OutOfBandSessionEventMap` 添加标记的插件事件类型使用。开放轮次会直接接收纯日志事件，并负责其常规检查点。已关闭的日志会在该插件的触发器下接收 `turn/start → event → turn/end`，随后等待刷写完成。合成轮次一旦开启，即使目标追加失败，系统仍会尝试将其关闭并刷写；整个序列完成前会延迟 detach。会话标题提供不带消息来源的 `session-title` 零步骤触发器，并让这两类标题事件都使用这一服务边界。该触发器并非由消息引起，因此可合并扩展的 `TurnTriggerMap` 的消费方在读取变体字段前，会先根据 `kind` 判别类型；例如，目标轮次准入会忽略所有非 `message` 触发器。
+
+### 输入与异步时序
+
+只有人类来源的 `user/message` 事件中的文本块才符合条件。空提示词、仅含控制字符的提示词和非文本提示词会等待下一条合格消息。服务从提示词路径调度首个回退标题而不等待其完成，随后规范化空白和控制序列，应用已配置的单词数和 UTF-8 字节限制且不拆分代码点，并记录第一条消息的 seq。
+
+仅当主循环存在已记录在日志中的当前提供方/模型路由时，自动提供方工作才会启动。`request/header` 新追加到日志时，会直接启动待执行工作；如果请求头没有变化，则由循环构建并带有标记的 `llm/stream` 请求会先与折叠所得的路由匹配，再启动该工作。随后，生成工作独立于 agent 响应运行；完成结果在被接受时加入当时开放的轮次，否则使用零步骤追加路径。显式调用 `refresh(session, signal?)` 会生成尚缺的回退标题并等待已注册的提供方；没有提供方时则返回回退标题。调用方在回退标题刷写期间取消调用不会回滚这次持久化追加，但 `refresh()` 会重新检查取消信号，并让调用以拒绝结束，而非返回成功。并发刷新会在等待回退标题持久化完成前预留会话本地修订号，因此在任何调用有机会造成提供方完成顺序倒置之前，较新的调用就会取代较早的调用。自动工作与并发刷新在每个会话内共用同一个进行中的回退 promise，因此首次回退只会创建一个标题事件和一个零步骤轮次。会话标题功能产生的所有带外写入在每个会话内共用一个结算队列；接替执行的模型请求会等待任何更早的标题写入完成，而被取代的模型调用本身仍可独立中止，且无法提交陈旧输出。异步压缩（compaction）期间接受的标题仍是纯日志事件，因此压缩器在摘要完成后执行的表层节点检查不会因该标题而失败；并发的表层变更仍会使替换失效。
+
+首消息提供方仅在新会话首次创建回退标题时调度一次。自动执行失败后，后续提示词不会重新调度；`refresh()` 是重试路径。全部消息提供方会在每条合格且由人类发出的提示词后调度，并传入截至该修订的所有合格消息，包括预置历史记录。较新的修订会中止并取代更早的待执行或活跃工作。
+
+### 注册、路由与失败策略
+
+`register(provider)` 会验证一个带品牌类型的稳定 id、执行时机和生成函数，然后返回一个可等待完成的 effect 资源释放函数。第二个活跃注册会立即抛出错误。提供方执行资源释放时，会将注册标记为正在关闭，中止其待执行和活跃工作，并等待所有调用结束后才移除注册，因此替代提供方不会与忽略取消的旧提供方重叠运行。会话资源释放会中止其活跃工作。服务卸载时，会阻止排队中的回退和提供方微任务启动，中止活跃工作，并且卸载完成前会等待所有已跟踪的 promise 结算。每项会话本地生成都有单调递增的修订号和对应的注册身份；接受结果时会重新检查修订号、注册、会话活跃状态、服务活跃状态和取消状态，因此陈旧输出无法提交。
+
+模型提供方必须显式配置单词数、CJK 字符数、输入字节数、输出 token 数和超时限制。可选的 `provider` 和 `model` 覆盖项必须成对提供；两者均未提供时，辅助组件会使用主请求已记录请求头中的准确路由。系统在一条固定且能区分语言的指令下，将选中的消息封装为 JSON。输入字节数按最终形成的用户提示词计算，其中包括包装文本、seq 字段和 JSON 转义；系统会在记录请求或发起调用前完成这项检查。过大输入会被拒绝而不是截断，因为截断会让记录的源消息 seq 错误地表示这些消息已被完整使用。系统在消费每个流分片时以及流完成后都会检查融合后的截止时间，因此即使拦截器或适配器忽略中止信号，超时后返回的成功结果也不会被接受。
+
+自动提供方故障只会发出非致命警告，并保留最新标题。显式刷新失败则会向调用方返回拒绝。输出必须是非空文本，并包含来自固定请求、唯一且有序的 seq；服务会在持久接受前对其进行规范化并施加字节限制。
+
+### Fork 与消费方
+
+与源日志的其他部分相同，fork 会原样继承作为种子的标题事件。首消息提供方不会自动为 fork 重新生成标题。全部消息提供方可以在子会话出现后续提示词后追加一项归子会话所有的修订，并使用继承的合格消息和新增的合格消息。
+
+`ctx.sessionQuery.readTitle()` 会折叠一份实时优先或已持久化的日志，而不会在 `listSessions()` 期间加载标题。ACP（Agent Client Protocol）会在实时流式输出和加载回放期间把该事件映射到 `session_info_update`，并使用事件时间戳作为 `updatedAt`。TUI 使用最新标题作为其标题栏副标题，并在完成终端安全渲染后，将终端窗口标题设置为 `<session title> — <configured product title>`。合成标题轮次本身仍会完成，并作为元数据写入的持久性边界；报告 agent 完成情况的消费方使用核心的 `findLastMessageTurnEnd()` 折叠逻辑，因此后续的标题轮次、注入轮次或其他归插件所有的轮次无法取代此前由消息触发的结果。
+
+## 考虑过的替代方案
+
+- **可变 `SessionHeader` 或独立元数据**：不予采纳，因为这会创建第二套持久化变更协议，削弱不可变身份元数据，让崩溃原子性因后端而异，并使 fork 的复制或引用行为产生歧义。仅追加日志已经负责可回放的后写覆盖状态。
+- **返回 agent 响应前等待标题生成**：不予采纳，因为辅助提供方的延迟和故障会进入主交互的关键路径。确定性回退方案可以立即提供可用状态，质量更高的标题则可稍后到达。
+- **将标题放入派生历史记录或请求前缀**：不予采纳，因为 UI 元数据会消耗 token、改变缓存标识，并让主模型观察到自己的标签。纯日志事件既保持可重建，又不会变得对模型可见。
+- **允许注册多个提供方，并在完成后解析优先级**：不予采纳，因为完成顺序并不等于产品优先级，而且会让重试、HMR 和来源信息变得不确定。需要组合策略的部署可以注册一个自行负责该策略的提供方。
+- **静默截断过大的辅助输入**：不予采纳，因为提供方结果会声明准确的源消息来源信息，实际却只接收了部分文本。保留原有标题并发出警告，可以保持归因真实。
+- **立即在 `listSessions()` 中索引标题**：不予采纳，因为现有的轻量元数据列表将需要逐后端同步派生索引。精确的 `readTitle()` 建立了读取契约，而没有提前锁定搜索或索引策略。
+
+## 后果
+
+- 标题可以在 JSONL 和 SQLite 持久化中存续，通过 ACP 回放，并遵循 fork 继承语义，而无需单独的可变记录。
+- 回退标题无需辅助调用即可出现；部署方可以自行决定更优标题是否值得模型成本，以及后续提示词是否需要重新生成会话标题。
+- 辅助请求记录和延迟接受的标题会占用事件 seq，并可能创建平衡的零步骤轮次，因此持久化会同时呈现尝试发起的调用与已接受的更新，尽管模型历史和 KV 缓存标识保持不变。
+- 单个提供方和每会话单调递增的修订号让释放、取代和陈旧结果拒绝行为明确可见，但多策略优先级必须由复合提供方负责。
+- 手动重命名、删除、生成标题与用户标题的优先级、搜索和列表索引不在此功能范围内。