Merge remote-tracking branch 'origin/master' into codex/session-scoped-sandbox-roots

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# 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: 2ef77b53cd8b95c9cdffd12e20c723fb1cff3a5d
2026-07-19-model-facing-goal-tools.zh.md: 08619600355c71ccd30d608e3c4e5a7fba753d4e
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# 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 deferred to the command-surface layer.
- A scope can hide tool registrations while leaving the independently registered prompt section visible unless the deployment scopes both together.
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# 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/``@deepseek-ai/dsh-tool-goal``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``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``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()``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``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延期到命令表面层。
- 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。
@@ -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
@@ -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.
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# 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/``@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``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``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。
`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``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。
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# 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: a207c6257bd4e9e4013f1abb661dd967ed2a52dc
2026-07-19-plugin-command-registration.zh.md: e21d187ded0ee0f4daa370655994eb306fb1c5fd
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# 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 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. Their input does not become `user/message`, their output does not become a session event, and neither is sent to the model. A handler receives the exact target agent, raw input, and request-owned `AbortSignal`. 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.
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# 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,同时不得把命令文本或输出加入模型历史。
## 决策
位于 `packages/ui/commands/``@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``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、`_``-` 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。输入不会成为 `user/message`,输出不会成为会话事件,两者都不会发送给模型。处理器接收准确的目标智能体、原始输入和请求拥有的 `AbortSignal`。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``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()``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``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``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。
@@ -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
@@ -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.
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# 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/``@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``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``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``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``QUOTA``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``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。
@@ -12,9 +12,9 @@ The boundary bought package metadata, workspace and tsconfig references, module-
## Decision
The helper lives in `@deepseek-ai/dsh-stdio` as the terminal-channel plugin (`packages/ui/stdio/src/index.ts`): `createStdioChat`, its `StdioRuntime` test seam, and its unit tests (`packages/ui/stdio/tests/stdio.spec.ts`, `readline.spec.ts`) moved with it, so EOF handling, rendering, disposal, and piped-vs-TTY behavior stay unit-covered under the per-file coverage gate without hijacking process globals. The module keeps the named `name`/`inject`/`Config`/`apply` export shape — the contract the app's `ctx.plugin(uiStdio, …)` mount consumes — and the keyless Loader-path smokes in `examples/echo-agent` and `examples/repl-agent` keep proving the composed tree boots through the real Loader (the stdio package's plugin-shape unit suite pins the explicit `unwrapExports` assertion, since a bundle without `inject` would boot past a stray default rather than crash).
At the time, the helper moved into `@deepseek-ai/dsh-stdio` as the terminal-channel plugin. `createStdioChat`, its `StdioRuntime` test seam, and its unit tests moved with it, keeping EOF handling, rendering, disposal, and piped-vs-TTY behavior under the per-file coverage gate without hijacking process globals. The module kept the named `name`/`inject`/`Config`/`apply` export shape consumed by the app mount, while the then-current Echo and REPL Loader smokes proved the composed tree and the plugin-shape suite pinned explicit `unwrapExports` behavior. The superseding removal note above owns the current package and example state.
The `packages/support/ui-stdio` package is gone: manifest, tsconfig references, module-graph rows, and README rows deleted; the doc comments that named the package (the example e2e module docs, `packages/README.md`, the support and todo READMEs, [the ui group README](../../../../packages/ui/README.md)) describe the in-package module.
The earlier support helper package was removed: its manifest, tsconfig references, module-graph rows, and README rows disappeared, while the remaining documentation described the in-package module.
## Alternatives considered
@@ -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: 97041b1c08d5fb85a222824ee6d8dfd55e74f4bd
2026-07-16-harness-level-loop.zh.md: 6460254b07b0e185ff2a40c415d34bd25b6ad925
@@ -0,0 +1,343 @@
# Agent Note: harness-level goal-based loop
Status: proposed
English | [中文](2026-07-16-harness-level-loop.zh.md)
## Problem
`packages/core/agent-loop` runs only the inner loop: reasoning plus tool calls within one turn, ending when the model returns `end_turn`. Its README explicitly writes "No built-in turn budget"—budget is a gap it acknowledges itself. Cross-round scheduling falls on the harness layer: iterating until tests all pass, revising drafts against a rubric, splitting a PRD into beads and driving them one by one, running unattended for a whole night. None of these tasks has a first-class implementation today.
The existing code offers three "just enough to run" alternatives, none of them adequate:
| Alternative | Problem |
|---|---|
| A `packages/workflow` script expressing `while (!done)` | The README explicitly writes "No token-budget vocabulary" and "No journaling or resume"; the parent turn blocks until the script settles. Fine for orchestration lasting minutes, unusable for tasks lasting hours |
| An external shell `while :; do dsh-sdk …; done` | Ralph-style scheduling can be written this way today. It lacks a shared vocabulary for stop condition, budget, and evaluator, so every user reinvents them; the loop itself has no durable object for post-hoc diagnosis or recovery |
| The `sendMessage`/`resume` capabilities on the `packages/subagent` seam | The README explicitly writes "Runtime steering and continuation are seam-only capabilities". There is no model-facing consumer, so the model can only start a fresh subagent |
Three typical use cases. **Automated fix**: a failing test suite in front of you, and you want a process to keep modifying code, running tests, and modifying again against the failure messages, until everything is green or the budget cap is hit. **Rubric-driven iterative revision**: a document, code, or translation must meet a set of scoring criteria; the loop repeatedly adjusts, an independent evaluator scores, and the loop stops when the criteria are met or the round budget is exhausted. **Unattended long runs**: for example, porting a repository from one tech stack to another overnight, kicked off before leaving work and reviewed the next morning, with the budget as the only safety net. Common shape across all three: minutes to hours, evaluator decides success, budget is a hard constraint, and post-run review and recovery are required.
## Proposal
**Loops come in four trigger shapes**, distinguished by who starts a round and when:
| Shape | Who triggers | When | Existing comparable | This RFC |
|---|---|---|---|---|
| **turn-based** | The user sends a message in the session | Every user reply | `packages/core/agent-loop`'s existing reasoning-plus-tools cycle within one turn | Not covered; already implemented |
| **goal-based** | The user or the agent specifies "run until some condition" | One start, evaluator decides when to stop | Claude Code's `/goal`, Codex's `/goal`, the Ralph family | **This RFC covers it** |
| **time-based** | A scheduler | On cron or fixed interval | Claude Code's `/loop` (periodic), `/schedule` | Deferred to a `dsh-schedule` RFC |
| **proactive** | The agent itself | When the agent realizes during reasoning that a loop is needed | The proactive tier in Anthropic ClaudeDevs's four-way taxonomy | **Naturally included** (an agent calling the `loop` tool is already proactive) |
This RFC only **adds a capability seam `packages/loop/`** for the goal-based shape. Proactive reuses the same `loop` tool—an agent invocation is a trigger by itself, with no extra machinery. Time-based needs an independent scheduler package and belongs to a separate RFC; this RFC only reserves a hook on the cordis leaf trigger surface for the future `dsh-schedule` integration.
Three packages:
- `@deepseek-ai/dsh-loop`: types, the `LoopDriver` service, the `StopCondition` discriminated union, the Phase 1 service definitions (`Evaluator` / `BudgetPolicy` / `RoundHandoff`), and the event schema; `GoalReflector` joins in Phase 2 with its first caller
- `@deepseek-ai/dsh-loop-driver`: the default driver implementation
- `@deepseek-ai/dsh-loop-tool`: the model-facing `loop` tool plus the CLI `dsh-sdk loop`
The design is organized around four concrete problems, addressed by service seams or explicit driver policies in the phase where each has a caller:
1. A long-running loop that goes wrong leaves no systematic diagnosis or recovery. **Loop as an independent session** addresses this.
2. Whether the PASS at loop end is trustworthy determines whether hours of work are wasted. An architecture where the same LLM both generates and self-evaluates is not trustworthy on its face. **Making Evaluator and Budget into service seams** addresses this.
3. Short and long tasks need opposite memory strategies; hardcoding one mode makes the other class of scenario unusable. **Making RoundHandoff into a service seam** addresses this.
4. The user's initial goal is not always correct. An agent stubbornly pursuing a wrong goal exhausts the budget doing wrong work. **Goal concern events and policies cover Phase 1; the GoalReflector service arrives with the Phase 2 `reflect` path**.
Beyond the four seams, one principle threads through the whole document: **one loop handles one atomic goal**. Large goals should be split into several small loops chained in sequence, not stuffed into one loop with the evaluator judging multiple things. A rule of thumb for whether granularity is right: if you cannot say what a finished loop actually accomplished, granularity is too large and should be split. Phase 2 adds a `loop_split` model-facing tool so the agent can split an oversized goal itself.
Terminology: **inner loop** refers to the existing per-turn reasoning-and-tools cycle in `packages/core/agent-loop`; **harness loop** refers to the outer scheduler introduced by this RFC, iterating around the inner loop. This RFC does not modify `agent-loop`, matching AGENTS.md's "Plugins, not loop changes".
`StopCondition` is a discriminated union with `assertNever` closing the switch:
```ts
interface EvaluatorReport { criteria: readonly { name: string; pass: boolean; evidence: readonly string[] }[] }
type StopCondition =
| { kind: 'goal-met'; evidence: EvaluatorReport }
| { kind: 'budget-cap'; scope: 'usd' | 'tokens' | 'rounds'; observed: number; maximum: number }
| { kind: 'stuck'; pattern: 'repeat-action' | 'no-progress' | 'error-loop' }
| { kind: 'approval-required'; reason: string }
| { kind: 'user-cancel' }
export {}
```
### Loop as an independent session
Once a long-running loop goes wrong, the user has no systematic diagnostic method. A failure hours in leaves only scattered log files to sift through. Discovering that some middle round went off track and wanting to roll back to re-run means starting over from scratch. An agent wanting to consult its own experience from past loops has no API to reach it.
The driver opens an independent loop-session (a new session id) for each loop. Every round's inputs, inner-loop results, evaluator reports, and stop decisions are persisted as session events, reusing the SQLite backend from `packages/session-persistence`. This yields three diagnostic and replay capabilities.
- **Replay conversation from a recorded round**: while the source session is live, discover round 78 went off and fork the round-77 event prefix with a different prompt or evaluator; persisted replay needs a separate trusted load-and-seed path. Both forms replay conversation state against the current workspace, not the files and external side effects that existed at round 77
- **Post-hoc diagnosis**: through the existing `ctx.sessionQuery` exact-read service, inspect the round where the evaluator started hanging on the same criterion
- **Meta-loop learning**: the proposed [SQLite FTS5 search](2026-07-10-sqlite-session-query-provider.md) can later find related historical loops before a new run—"have I fixed a similar bug before? Which round did it fail on?"
Claude Code's and Codex's `/goal` are one-off objects: discarded when the run ends, so the agent starts from zero when facing a similar problem again.
**Storage and recovery boundary**. A few KB of events per round, roughly 100500 KB per 100-round loop; thousands of loops reach GB scale. Mitigated by the `logDetail: 'summary' | 'full'` config, defaulting to `full` with long-run users able to switch to `summary`. Persisting all intermediate state also writes generated keys, passwords, and similar secrets to disk—the same class of risk as an ordinary session but amplified 10100×, and the README calls this out clearly. Exact live and persisted reads already exist through `ctx.sessionQuery`; FTS5 is an optional discovery improvement, not a Phase 1 dependency. Exact execution-world restore is not promised: `SessionStore.fork()` accepts a live session, and session events do not restore files, processes, environment, or external side effects. Restoring those requires a separate Git/worktree/checkpoint design.
### Pluggable Evaluator and Budget
A loop's value ultimately depends on whether the final PASS is trustworthy. If the evaluator can be hacked or hallucinates PASS, hours of work are wasted. An architecture where the same LLM both generates and self-evaluates is not trustworthy on its face: the model has the means to talk itself into PASS. Even letting an independent subagent be the evaluator only mitigates the problem; as long as the evaluator is still an LLM, it retains a systematic bias for the same class of content—an independent subagent is a mitigation, not a cure.
Trustworthy evaluation needs both a deterministic judgment mechanism and an isolation boundary appropriate to the threat model: shell exit code, static analysis, or an external service avoids LLM self-judgment, while a separate worktree, read-only mount, container, or remote service prevents the worker from rewriting evaluator inputs. Only the user knows which checks and boundary to use: `pytest` commands differ by project, companies have private compliance checkers, and some teams also run internal lint. No number of built-in evaluators can cover them all. Evaluator therefore must be a seam the user can plug into.
Budget is the same story: product-level spending guardrails are opaque, and cannot be adjusted for team policy (personal card, team splitting, per-PR settlement).
`Evaluator` and `BudgetPolicy` are both exposed as cordis service seams, with users injecting them as plugins. `Goal` must carry an `EvaluatorSpec` at an explicit tier; the driver refuses to start a loop without a paired evaluator—vague goals ("write good code") cannot enter the loop system:
```ts
interface RubricItem { name: string; description: string }
interface EvaluatorContract { readonly name: string }
type CriteriaSpec =
| { kind: 'single-metric'; name: string }
| { kind: 'rubric'; criteria: RubricItem[] }
| { kind: 'contract'; interface: EvaluatorContract }
type ExecutorSpec =
| { kind: 'shell'; command: string }
| { kind: 'llm-judge'; rubric: string; model: string }
| { kind: 'provider'; name: string; config?: unknown }
type IsolationSpec = 'same-workspace' | 'separate-worktree' | 'container' | 'remote'
interface EvaluatorSpec {
criteria: CriteriaSpec
executor: ExecutorSpec
isolation: IsolationSpec
}
export {}
```
**Why explicit dimensions instead of letting the user pass any function?** The spec forces the user, at start time, to declare what is judged, what executes the judgment, and what isolation boundary protects it. A free function looks flexible, but in practice it lets evaluator strength quietly regress—the user thinks they're doing a deterministic isolated check when they've actually written a same-workspace LLM judgment. In long-run scenarios the cost is hours wasted.
Criteria shape, executor, and isolation are orthogonal rather than a trust ladder: a rubric may be checked by shell, an LLM, or an external service, and a contract may run in the same workspace or in a container. `llm-judge` remains the weakest executor for soft goals where there truly is no hard signal (revision, translation quality). The documentation explicitly notes "this executor cannot defend against targeted adversarial input; long unattended runs require at least one deterministic evaluator with an isolation boundary appropriate to the threat model".
The driver enforces four structural constraints, not delegated to Evaluator implementations. Isolation strength remains an explicit property of the configured provider rather than a claim the driver can manufacture.
**Preventing "the same agent both generates and self-evaluates"**:
1. **fresh subagent for LLM evaluation**: an LLM evaluator opens a fresh subagent (via `dsh-subagent`'s `spawn`) each round, not inheriting the main loop's context
**Preventing the evaluator subagent itself from being subverted**:
2. **scoped tool set**: an LLM evaluator's model-facing tool set is stripped by the driver to reads only, with write tools disabled (reusing `SubagentProvider`'s `toolFilter`). This reduces accidental mutation but is not process isolation: shell, code runtimes, or another capability can still write unless the configured isolation boundary prevents it
**Preventing the evaluator report itself from deceiving the driver**:
3. **PASS can only flip via an evaluator report**: the `goal-met` StopCondition can only come from the evaluator; the driver and the main agent cannot construct it directly
4. **Default-FAIL**: the driver maintains each criterion's pass state at `false` internally; only an evaluator report with non-empty evidence is allowed to flip it to `true`. The evaluator cannot get the driver to accept a `{pass: true}` return with no evidence
Together, the four ensure that evaluator conclusions are structurally evidence-driven rather than confidence-driven. They do not stop the main agent from modifying evaluator inputs in a shared workspace.
**Phase 1 ships three backends**:
- `loop-evaluator-shell` implements `single-metric`: runs a shell command, `exit 0` = pass
- `loop-evaluator-rubric-judge` implements `llm-judge`: a prewritten rubric plus LLM scoring, soft goals only
- `loop-budget-preflight`: before each round starts, estimate `(promptTokens + overhead + estOutputTokens) / 1M × pricePerMTok`; refuse to start if the estimate exceeds `perRoundUsd`. The estimation model comes from MartinLoop `policy.ts:551-596`
A `PricingProvider` service injects the pricing table; a test seam can override it, and it is not hardcoded into the driver (AGENTS.md "No hardcoded tunables in plugins"). A resolved budget carries `maxRounds`, optional `maxTokens` and `maxUsd`, and optional `perRoundUsd`. The driver checks per-round admission before starting work, then accumulates worker, evaluator, compaction, and reflector usage after every request. A token or USD cap may overrun by one in-flight request because usage arrives after completion; the `budget-cap` result reports `observed` and `maximum`. The `rubric` and `contract` criteria shapes get built-in executors in Phase 2; Phase 1 exposes the shapes so third-party plugins can integrate first.
**Limitation**: `same-workspace` plus a read-only model-facing tool set is not hard isolation. The current `packages/fs` policy enforces read-before-edit and version guards, not path denial, and bash or code runtimes can bypass filesystem tools. Defending against targeted adversarial input requires a boundary across every mutation channel—such as a read-only mount, isolated worktree, container, or remote evaluator. The two-container approach (the evaluator's definition files are entirely inaccessible to the main agent, the route Anthropic patch.py takes) remains a Phase 3 item. See Risks.
### Pluggable RoundHandoff
How context passes between rounds is a dilemma. Preserving the full prior conversation (continue) reads more coherently, but the conversation keeps growing and eventually hits the context ceiling, and errors from a prior round contaminate every subsequent round. Starting each round from scratch (fresh) avoids the contamination, but has to re-understand context every time. A 3-round revision loop and an 80-round overnight bug-fix loop need opposite strategies. Claude Code and Codex both hardcode one mode, so users cannot switch by task type.
Made a service seam:
```ts
interface ContinuationRun {
readonly id: string
resume?(prompt: string): Promise<ContinuationRun>
}
interface PreviousRound {
result: unknown
evaluator: { criteria: readonly { name: string; pass: boolean; evidence: readonly string[] }[] }
tokenUsage: number
summary: string
sessionId: string
run?: ContinuationRun
}
interface RoundContext { loopId: string; round: number; previous: PreviousRound }
type NextRoundSpec =
| { mode: 'fresh'; prompt: string }
| { mode: 'continue'; run: ContinuationRun; prompt: string }
interface RoundHandoff {
buildNextRound(prev: RoundContext, signal: AbortSignal): Promise<NextRoundSpec>
}
export {}
```
Phase 1 ships the fresh backend; Phase 2 adds the two continuation backends after provider continuation exists:
| Backend | Phase | Scenario | Mechanism |
|---|---|---|---|
| `handoff-fresh-with-summary` (default) | Phase 1 | Long runs, unattended | Open a fresh subagent each round, injecting only a progress summary as a system prompt append |
| `handoff-continue-with-compaction` (recommended middle) | Phase 2 | Medium length, 520 rounds | Retain the full conversation up to a token threshold; over the threshold, reuse [`packages/compact`](../../../../packages/compact/README.md) to compress into a summary, using summary + last K rounds as the starting point |
| `handoff-continue-raw` (advanced) | Phase 2 | ≤5 rounds, short tasks, testing | Plain continuation without truncation |
**Why default to fresh?** Every long-run loop that actually succeeded (repomirror, Kimi ralph-loop, autoresearch) uses fresh. Placing important loop state outside the context window under driver management is the correct posture for long runs. `handoff-continue-raw` violates this experience, and the README explicitly notes it is not suitable for long runs.
**Why is only this repo able to build the middle tier?** `handoff-continue-with-compaction` depends on a compaction seam—the competitors don't have one; only this repo's `packages/compact` provides that infrastructure.
**Why a seam rather than a three-choice flag?** Users can write 20-line plugins expressing hybrid strategies like "continue for the first 5 rounds, then fresh", or "auto-compact once when context hits 50%", without waiting for main-library support.
**Limitation**: `continue-with-compaction` depends on the compression quality of `packages/compact`; compression itself may write hallucinated information into the summary and propagate it forward. The README recommends fresh for long runs. The three backends' boundaries may confuse new users about which to pick; the `dsh-sdk loop` CLI defaults to fresh, so users don't have to understand the differences before hitting a concrete problem.
### Pluggable GoalReflector
The goal the user gives at loop start is not always accurate. It may be based on a wrong assumption (asking the agent to implement a feature with a since-deprecated API), it may not be clear enough (the agent discovers a clarification is needed only mid-work), or it may be invalidated by later information. Current loop-execution frameworks treat the goal as a contract frozen at start; the agent can only push down the original path, and the result is exhausting the budget on the wrong direction.
Phase 2 makes this a service seam, with responsibility separated from `Evaluator`: the evaluator asks "did we reach the goal", the reflector asks "is the goal still the same goal". Phase 1 carries concern events plus the `stop` and `notify-continue` driver policies without registering an unused `GoalReflector` service.
```ts
interface RoundContext { loopId: string; round: number }
interface GoalConcern { concern: string; severity: 'low' | 'medium' | 'high' }
interface GoalReflector {
reflect(ctx: RoundContext, concerns: GoalConcern[]): Promise<GoalReflection>
}
type GoalReflection =
| { kind: 'continue' } // goal 仍有效
| { kind: 'revise'; newGoal: string; why: string } // 建议修正 goal
| { kind: 'stop-for-human'; reason: string } // 需要人拍板
export {}
```
**Concerns have three sources**. Phase 1 ships the first two; the `GoalReflector` service and periodic source arrive together in Phase 2:
- **Agent-initiated**: via the model-facing tool `loop_flag_concern({ concern, severity })`. An agent that realizes during investigation that "the library the user assumed has been deprecated" can raise directly
- **Driver heuristic**: when budget passes 50% and zero criteria have passed, the driver auto-raises a `no-progress-toward-goal` concern
- **Periodic reflector subagent** (Phase 2): every N rounds, run an independent read-only subagent to re-audit goal validity, following the same isolation approach as the evaluator
**Response strategy is controlled by the `onGoalConcern` config**. The four settings correspond to different philosophies about loop use; users choose by their team's collaboration style, and the driver takes no default stance:
- `'stop'` (Phase 1 default): any concern triggers `StopCondition: approval-required`, and a human decides. A loop should never proceed on its own in the face of uncertainty—suitable for cautious teams and for high-impact loop scenarios
- `'notify-continue'` (Phase 1): record an ordinary `loop/goal-concern` session event, then continue; a human reviews at the end. ACP has no general high-priority marker, so dedicated concern rendering is deferred with the ACP command infrastructure. The loop internal is not interrupted—suitable for unattended long runs
- `'reflect'` (Phase 2): call `GoalReflector` to decide continue, revise, or stop. Delegates the initial judgment to an independent agent in place of a human—suitable for teams with moderate autonomy
- Not registering a `GoalReflector` and leaving `onGoalConcern` unset = the most hands-off tier: the loop stops only on traditional stop conditions
**Why default to `stop`?** In unattended scenarios, stopping one extra time is safer than running for hours in the wrong direction. Users who explicitly want unattended can switch to `notify-continue`.
A concern is itself just an ordinary session event, composing naturally with the persistence capability described earlier: a later replay can seed a new conversation from the round where the concern surfaced and swap the goal. This does not roll the workspace back to that round.
**Abuse and loss protection**. An agent could raise a concern every round; the mitigation is the `severity` field plus a minimal rate limit on the driver side (same-concern dedup within 30 seconds). The cost of that abuse is that the agent stalls itself and cannot make progress, so the incentive is weak. Once a goal has been revised, the original goal is lost; each revise persists a `loop/goal-revised` session event with rationale, and later replay can select any historical goal version without claiming workspace restoration.
### User surface
Four trigger surfaces share one driver:
- **Agent-side tool**: `loop({ goal, evaluator, maxRounds, maxUsd, onGoalConcern })` registers `kind: 'loop'` through `ctx.tasks`, returns the task id immediately, and runs the harness loop in the background. `task_output`, `task_list`, and `task_kill` provide collection and cancellation. Inside a running loop, the internal agent can call `loop_flag_concern({ concern, severity })` to raise a concern proactively. ACP rendering intent is `generic`. An agent-initiated call is proactive triggering with no extra machinery
- **CLI**: `dsh-sdk loop <prompt> --stop <shell-cmd> --max-rounds N --max-usd X --handoff fresh` is human-initiated startup, the most typical Ralph-style usage
- **cordis leaf**: declare a resident loop as a leaf in `cordis.yml`, with future `dsh-schedule` RFC integration for periodic triggering
- **ACP slash command**: `/loop <goal>` (and `/loop-flag-concern`) starts directly from within the editor or client's current session. Semantically equivalent to a human typing `dsh-sdk loop` in a shell, but happens within the ongoing ACP session context, letting the loop result inject back into the session
The ACP slash command depends on: `packages/ui/acp`'s `available_commands_update` surface is currently unbuilt ([acp-feature-support.md](../../../../packages/ui/acp/acp-feature-support.md)). Once the harness's slash-command infrastructure lands, `/loop` and `/loop-flag-concern` only need to be registered against that infrastructure; the driver and tool interfaces do not change. This RFC reserves the names and specifies the argument shape, but does not commit the infrastructure itself—that belongs to a separate ACP catch-up RFC.
The default system prompt carries two behavioral instructions, distributed with every built-in `loop` tool:
1. No writing of `TODO`, `FAKE`, or `PLACEHOLDER` placeholders to superficially pass the evaluator
2. No writing of empty `try/except` or `catch(_)` blocks so the evaluator ignores errors
Neither can be enforced at the seam layer; both are prompt-layer guidance and must not be described as hard constraints. Users may customize the system prompt; evaluators that require these rules must check them explicitly.
### Relationship with existing code
Direct reuse without modification:
- `packages/subagent`'s `spawn` provider, `toolFilter`, and `persona`—the loop spawns a subagent per round; an LLM evaluator gets a scoped model-facing tool set, not a process-isolation guarantee
- `packages/tasks`—the model-facing loop is a `loop` task producer and reuses owner isolation, `task_output`/`task_list`/`task_kill`, completion notices, cancellation, and awaited cleanup
- The SQLite backend from `packages/session-persistence`—the loop-session persists
- `packages/session-query`—exact live and persisted session reads for post-hoc diagnosis
- `packages/compact`—the implementation basis for `handoff-continue-with-compaction`
- `packages/todo`—an optional progress representation in single-session continue mode
- If [ToolExecution.reportProgress](2026-07-13-stream-workflow-progress-through-tool-calls.md) lands first, the loop tool can use it for per-round UI updates
Not touched: `packages/core/agent-loop` (the inner-loop semantics stay the same); `packages/workflow` (DAG orchestration vs. iterating one goal is an orthogonal relationship; the two READMEs cross-link in their "Related" section to describe the boundary).
One dependency is not yet landed:
- The ACP slash-command infrastructure (the `available_commands_update` surface)—see User surface. Before the infrastructure lands, the slash-command trigger is absent while the other three trigger surfaces work as normal
The proposed [SQLite FTS5 search](2026-07-10-sqlite-session-query-provider.md) is an optional Phase 2 discovery improvement over the existing exact-read query service, not a dependency for Phase 1 event access.
Continuation work can be deferred to Phase 2: the `SubagentRun.sendMessage` and `resume` methods exist as optional seam capabilities, but the current `subagent-spawn` provider deliberately exposes neither. The two `handoff-continue-*` backends therefore require provider implementations, capability checks, ownership tests, and a consumer surface—not only a new argument on `packages/subagent-tool`. Phase 1 ships only `handoff-fresh-with-summary` and does not touch subagent continuation.
### Phasing
**Phase 1** (the scope this RFC commits): the three-package seam; `StopCondition`; the orthogonal criteria/executor/isolation `EvaluatorSpec`, with built-in implementations for shell and LLM-judge execution and rubric/contract criteria shapes open for integration; Default-FAIL enforcement; evaluator and cumulative-budget backends; `handoff-fresh-with-summary`; `ctx.tasks` integration; the `loop_flag_concern` tool; the no-progress heuristic; the `onGoalConcern: 'stop' | 'notify-continue'` pair; the CLI; the tool; and the default system-prompt guidance. **Not included**: the SQLite FTS5 search surface, the ACP slash-command trigger surface (depends on the `available_commands_update` infrastructure), subagent continuation provider/tool work, the `GoalReflector` service, the stuck detector, the Reflector subagent, the `loop_split` tool, and built-in executors for every rubric/contract combination.
**Phase 2**: the SQLite FTS5 search surface; the stuck detector (reproducing OpenHands's five patterns); subagent continuation provider implementations, capability checks, and consumer surface (unlocking the two continue handoffs); the `GoalReflector` service and Reflector subagent; the `onGoalConcern: 'reflect'` tier; the `loop_split` model-facing tool; and built-in executors for additional rubric/contract combinations.
**Phase 3**: agent fleet (N parallel loops for the same goal, best result wins); integration with `dsh-schedule`; two-container evaluator isolation (evaluator definition files entirely inaccessible to the main agent, defending against reward hacking).
## Alternatives considered
**Extend `packages/core/agent-loop`**: add an "iterate on end_turn until goal" switch to the inner loop. Rejected—AGENTS.md says "new behavior goes on documented extension seams; changing agent-loop requires updating docs/architecture.md". The harness loop needs state across sessions and across agents; stuffing it into the inner loop tangles session semantics into two mixed layers.
**Ship a single slash command `/loop` (Claude Code clone)**: minimal implementation. Rejected—the slash-command layer does not resolve the harness/inner boundary; the four design points (queryable session, tiered evaluator, pluggable handoff, pluggable goal reflector) have nowhere to sit at the slash-command layer, and every capability this RFC commits is lost.
**Fully outsource to `packages/workflow`**: express the loop as a workflow node with a back edge. Rejected—workflow lacks first-class semantics for iteration, StopCondition, and Evaluator; forcing it means the evaluator has to masquerade as a phase, violating the architectural-isolation requirement that the evaluator be independent of the producer; the budget guardrail in workflow is phase-level rather than round-level, and the granularities do not match.
**Hardcode a binary choice between A (fresh) and B (continue)**: the Ralph school and the LoopTroop school each have strong scenarios. Rejected—Pluggable RoundHandoff proposes a seam plus three built-in backends that cover both schools and allow hybrids.
**Skip the evaluator seam, ship a few built-ins**: lighter. Rejected—the core value of Pluggable Evaluator and Budget is that team-private evaluators can extend the system. Hardcoding leaves long unattended users no option but to modify the main library.
**Accept a free function that lacks an explicit `EvaluatorSpec`**: allow users to pass any `(result) => boolean`. Rejected—the criteria/executor/isolation dimensions force users to declare at start time what is judged, what runs the judgment, and what boundary protects it, preventing quiet regression to a weaker setup. A free function looks flexible but lets evaluator strength quietly regress, and the cost is heavy in long-run scenarios.
**Introduce an independent memory engine (Beads / dex-style)**: an established approach to external state. Rejected—`packages/session-persistence` plus the existing exact-read `ctx.sessionQuery` already cover Phase 1 diagnosis, while SQLite FTS5 can add search later; the payoff of a new engine is far smaller than the maintenance cost.
**Fold goal reflection into the Evaluator seam** (have the evaluator return "criteria are impossible"): rejected—it conflates "was the goal achieved" with "is the goal still correct", which are orthogonal concerns. `Evaluator` should stay independent, read-only, and simple.
**Only ever add an event for goal-concern, no seam**: lighter. Phase 1 does use the event plus `stop`/`notify` policies; rejected as the final design because the Phase 2 `reflect` path needs a replaceable response strategy. The seam lands with that first caller rather than ahead of it.
**Ship the full Reflector subagent in Phase 1**: more complete. Rejected—`loop_flag_concern` tool plus no-progress heuristic plus the two-policy `onGoalConcern` already covers 80% of scenarios; running an independent subagent every round is expensive, and introducing it on demand in Phase 2 is more sensible.
**Do not ship `loop_split`; let users split themselves**: Phase 1 already does. Phase 2 adds it because long-run scenarios reveal that agents receiving an oversized goal will run it directly rather than split it, so explicit tool guidance is needed.
## Acceptance criteria
- The three packages `packages/loop/{loop,loop-driver,loop-tool}` are built as a capability seam; `dsh-loop` exports only types and registry
- `StopCondition` discrimination covers all branches (unit); `assertNever` closes the switch at compile time
- The Phase 1 services `Evaluator`, `BudgetPolicy`, and `RoundHandoff` can each be replaced by an external plugin (fixture: inject a mock implementation, driver calls it correctly); no `GoalReflector` service is registered before the Phase 2 `reflect` consumer exists
- `EvaluatorSpec`'s criteria/executor/isolation dimensions converge at compile time; the driver refuses to start a loop without a paired evaluator (fixture: `loop({ goal, evaluator: undefined })` returns a configuration error immediately)
- Default-FAIL fixture: when the evaluator report returns `{criterion, pass: true, evidence: []}`, the driver refuses that criterion flip and records an `evaluator/invalid-report` session event
- `RoundHandoff` receives the previous result, evaluator report, token usage, summary, session id, optional run handle, and cancellation signal; Phase 1's `fresh-with-summary` has unit coverage plus one pass-path e2e, while continuation backend tests wait for Phase 2 provider support
- `dsh-sdk loop` CLI e2e: given a goal plus a 3-round cap plus one shell evaluator, both the pass and exhaustion paths return a structured stop cause with a semantic exit code
- Evaluator scoping fixture: the main agent has fs.write while an LLM evaluator's model-facing tool set does not; the result and documentation still label `same-workspace` as non-isolated, and no `protectedPaths` guarantee is exposed
- Budget fixtures cover `perRoundUsd` admission plus cumulative `maxRounds`, `maxTokens`, and `maxUsd` across worker and evaluator usage; an in-flight overrun emits `budget-cap` with `observed` and `maximum`
- Goal concern fixture: `loop_flag_concern` is callable from the main agent and yields an ordinary `loop/goal-concern` session event; under `onGoalConcern: 'stop'` an `approval-required` StopCondition is emitted; under `'notify-continue'` the loop continues without nonexistent ACP priority metadata; the no-progress heuristic fires once when budget exceeds 50% with zero passes (with rate-limit dedup)
- The default system-prompt guidance (no TODO/FAKE/PLACEHOLDER, no empty catch) is distributed with the built-in `loop` tool, and a snapshot covers the prompt content without treating it as enforcement
- Each round's prompt, inner-loop result, evaluator report, and stop decision appear as session events and are readable through the existing exact-read `ctx.sessionQuery`; FTS5 search remains Phase 2
- Model-facing loop startup returns a `loop` task id immediately; `task_output`, `task_list`, `task_kill`, parent-agent disposal, cancellation, producer reload, and service disposal cover owner isolation and awaited quiescence
- The "Related" sections in `packages/loop/README.md` and `packages/workflow/README.md` cross-link and describe the "when to use workflow vs. when to use loop" boundary clearly
- Unit 100% / snapshot / e2e / doc-sync / verify-module-graph / build / hygiene all green; the ACP rendering intent (`generic`) of the new tool has a snapshot
## Risks
**Conversation replay is not workspace restore**. Exact session reads already exist, and FTS5 improves historical discovery rather than enabling correctness. Replaying a round prefix against the current workspace can diagnose or redirect a run, but reproducing the execution world at that round requires Git/worktree/checkpoint support and an explicit policy for external side effects.
**The boundary between `packages/workflow` and loop is a recurring FAQ**. "Is multi-round a loop or a workflow?"—both READMEs must state clearly: workflow is "steps known, agent to run undecided, parallel or serial orchestration"; loop is "agent decided, round count undecided, evaluator decides when to stop". Unclear docs cause users to pick the wrong one.
**Evaluator reverse-optimization (reward hacking)**. In a sufficiently long loop, the agent can identify the evaluator's pattern and optimize against it—for example, discovering that "as long as `assert True` appears in a test file, it PASSes" and bypassing real completion that way. Phase 1's `same-workspace` mode does not prevent the agent from modifying tests or evaluator configuration through bash, code runtimes, or another write channel; the current `packages/fs` policy is not a path-isolation boundary. Users needing adversarial strength must choose an isolated worktree, read-only mount, container, or remote evaluator. Phase 3's two-container approach keeps the evaluator runtime (binary, rubric, dependency libraries) entirely inaccessible to the main agent, matching what Anthropic patch.py does.
**Placeholder faking and over-defensive code**. Agents sometimes write `# TODO: implement` to sneak through a test, or write large amounts of `try/except: pass` to make the evaluator superficially PASS. These do not belong to the evaluator layer; they are prompt and training issues at the agent-generation stage. The two default system-prompt instructions in User surface are guidance only; users who add "static-check-forbid TODO and empty catch" rules to a custom evaluator get enforceable coverage. This class of problem cannot be cured at the seam layer.
**Budget estimation drift and in-flight overrun**. Pricing can change, and cumulative token/USD usage becomes exact only after each worker, evaluator, compaction, or reflector request reports usage. Preflight protects a single round; cumulative caps stop the next request and may exceed the configured maximum by one in-flight request. The README reports both observed and maximum values and states that provider billing remains authoritative.
**Background tasks are process-local**. `ctx.tasks` gives the model-facing loop owner isolation, generic collection/cancellation, completion notices, and awaited cleanup. Parent-agent or service disposal cancels and awaits the loop; a process crash cannot run cleanup, and durable restart remains outside Phase 1.
**Long-run loop log growth**. A 100-round loop reaches MB scale for one session. `logDetail: 'summary'` is a safety net but Phase 1 defaults to `full`; Phase 2 adds summary semantics.
**Pre-release allows direct evolution**. `SESSION_FORMAT_VERSION=0`; the `LoopRoundEvent` schema can change at any time. Backends reject old formats rather than maintain compatibility, matching the pre-release stance at the top of AGENTS.md.
@@ -0,0 +1,343 @@
# Agent Note: harness 层 goal-based loop
Status: proposed
[English](2026-07-16-harness-level-loop.md) | 中文
## 问题
`packages/core/agent-loop` 只跑 inner loop:一次 turn 内推理加工具循环,模型返回 `end_turn` 就结束。其 README 明确写「No built-in turn budget」——预算是它自己承认的 gap。跨轮次调度落在 harness 层:跑到测试全绿、按 rubric 反复改稿、把 PRD 拆成 bead 逐个推进、无人值守跑一整晚。这几类任务今天都没有一等公民的实现。
现有代码里有三种「能凑合跑」的替代,都不够用:
| 替代 | 问题 |
|---|---|
| `packages/workflow` 脚本表达 `while (!done)` | README 明写「No token-budget vocabulary」和「No journaling or resume」;父 turn 阻塞到脚本 settle。能跑几分钟的编排,跑不了几小时的长期任务 |
| 外部 shell `while :; do dsh-sdk …; done` | Ralph 风格的调度今天就能这么写。缺共享的 stop condition、budget、evaluator 词汇,每个使用者各自重发明;循环本身没有持久化对象可供事后诊断或恢复 |
| `packages/subagent` seam 的 `sendMessage`/`resume` | README 明写「Runtime steering and continuation are seam-only capabilities」。没有 model-facing consumer,模型只能起 fresh 子会话 |
典型使用场景有三类。**自动化修复**:面前一个失败的测试套件,希望一个进程持续修改代码、跑测试、根据失败信息再修改,直到全绿或触达预算上限。**按 rubric 迭代改稿**:一份文档、代码或翻译需要满足打分标准,循环反复调整、独立评估者打分、直到达标或耗尽轮数。**无人值守长跑**:例如通宵把一个仓库从一种技术栈移植到另一种,下班前启动第二天回来看结果,全程只有预算兜底。三类共同的形态:几分钟到几小时、evaluator 决定成败、预算是硬约束、跑完还需要能回看和恢复。
## 提案
**Loop 有四种触发形态**,按谁在什么时候启动一轮划分:
| 形态 | 谁触发 | 何时触发 | 现有对标 | 本 RFC |
|---|---|---|---|---|
| **turn-based** | 用户在会话里发一条消息 | 每一轮用户回复 | `packages/core/agent-loop` 现有一次 turn 内的推理与工具循环 | 不覆盖,已有实现 |
| **goal-based** | 用户或 agent 明确指定「跑到某条件为止」 | 一次启动,evaluator 判停 | Claude Code 的 `/goal`、Codex 的 `/goal`、Ralph 家族 | **本 RFC 覆盖** |
| **time-based** | scheduler | 按 cron 或时间间隔 | Claude Code 的 `/loop`(周期性)、`/schedule` | 延后到 `dsh-schedule` RFC |
| **proactive** | agent 自己 | agent 在推理中意识到需要开一个 loop 时 | Anthropic ClaudeDevs 4 类分类里的 proactive 档 | **本 RFC 自然包含**agent 调 `loop` tool 就是 proactive |
本 RFC 只**新增 capability seam `packages/loop/`** 处理 goal-based 一种。proactive 复用同一 `loop` tool,agent 主动调用即触发,无需额外机制。time-based 需要独立的 scheduler package,属于另一份 RFC 的事情;本 RFC 只在 cordis leaf 触发面预留跟未来 `dsh-schedule` 联动的钩子。
三个包:
- `@deepseek-ai/dsh-loop`:类型、`LoopDriver` service、`StopCondition` 判别联合、Phase 1 service 定义(`Evaluator` / `BudgetPolicy` / `RoundHandoff`)、事件 schema`GoalReflector` 在 Phase 2 与首个调用方一起加入
- `@deepseek-ai/dsh-loop-driver`:默认 driver 实现
- `@deepseek-ai/dsh-loop-tool`model-facing `loop` tool + CLI `dsh-sdk loop`
设计围绕四个具体问题展开,在每项能力出现调用方的 phase 中通过 service seam 或显式 driver policy 解决:
1. 长跑 loop 出问题后缺诊断和恢复手段。**loop 作为独立 session** 解决。
2. loop 结束时的 PASS 是否可信决定几小时工作是否作废。同一个 LLM 既生成又自评的架构本身就不可信。**Evaluator 与 Budget 做成 service seam** 解决。
3. 短任务和长任务需要的记忆策略相反,硬编一种模式会让另一类场景不可用。**RoundHandoff 做成 service seam** 解决。
4. 用户初始给的 goal 未必始终正确。agent 沿着错的目标蛮干会耗尽预算做错事。**Phase 1 用 goal concern event 与 policy 处理;GoalReflector service 随 Phase 2 的 `reflect` 路径一起加入**。
四条 seam 之外还有一条贯穿全文的原则:**一个 loop 只处理一个原子目标**。大目标拆成若干小 loop 串联,不塞进一个 loop 让 evaluator 判定多件事。判定 granularity 是否合适的经验规则:如果 loop 跑完说不清它到底做完了什么,granularity 就太大,应当拆。Phase 2 补 `loop_split` model-facing tool 让 agent 收到过大 goal 时能自己拆。
术语约定:**inner loop** 指 `packages/core/agent-loop` 一次 turn 的推理与工具循环;**harness loop** 指本 RFC 引入的外层调度器,围绕 inner loop 反复迭代。本 RFC 不改 `agent-loop`,符合 AGENTS.md「Plugins, not loop changes」。
`StopCondition` 是 discriminated union`assertNever` 收口:
```ts
interface EvaluatorReport { criteria: readonly { name: string; pass: boolean; evidence: readonly string[] }[] }
type StopCondition =
| { kind: 'goal-met'; evidence: EvaluatorReport }
| { kind: 'budget-cap'; scope: 'usd' | 'tokens' | 'rounds'; observed: number; maximum: number }
| { kind: 'stuck'; pattern: 'repeat-action' | 'no-progress' | 'error-loop' }
| { kind: 'approval-required'; reason: string }
| { kind: 'user-cancel' }
export {}
```
### Loop 作为独立 session
长跑 loop 一旦出错,用户没有系统的诊断手段。跑几小时后失败,只能翻散落的日志文件。发现中间某一轮走偏想倒回去重跑,只能从头开始。agent 想参考自己过去 loop 的经验也没有可用的 API。
Driver 为每个 loop 开一个独立的 loop-session(新的 session id)。每轮的输入、inner-loop 结果、evaluator 报告、stop 决策都作为 session event 落盘,复用 `packages/session-persistence` 的 SQLite backend。得到三种诊断与 replay 能力。
- **从已记录轮次 replay 对话**:源 session 仍 live 时,发现第 78 轮偏航,可以 fork 第 77 轮的 event prefix,换 prompt 或 evaluator;已持久化 session 的 replay 还需要独立的受信任 load-and-seed 路径。两者都只会基于当前工作区 replay 对话状态,不会恢复第 77 轮的文件与外部副作用
- **事后诊断**:通过现有 `ctx.sessionQuery` 精确读取 service 检查 evaluator 从哪一轮开始一直挂在同条 criterion 上
- **元循环学习**:拟议中的 [SQLite FTS5 search](2026-07-10-sqlite-session-query-provider.md) 后续可以在新 loop 启动前找到相关历史 loop——「我以前 fix 过类似的 bug 吗?失败在哪一轮?」
Claude Code、Codex 的 `/goal` 是一次性对象:跑完就丢,agent 下次遇到同类问题从零开始。
**存储与恢复边界**。每轮几 KB events100 轮 loop 约 100500 KB;跑几千个 loop 会到 GB 级。`logDetail: 'summary' | 'full'` 配置缓解,默认 `full`,长跑用户可切 `summary`。中间态全持久化会把生成过的 key、密码一并落盘,跟普通 session 是同一类风险但量放大 10–100 倍,README 明确提示。通过 `ctx.sessionQuery` 的精确 live 与已持久化读取已经存在;FTS5 是可选的发现能力增强,不是 Phase 1 依赖。本 RFC 不承诺精确恢复执行世界:`SessionStore.fork()` 只接受 live session,而 session event 不会恢复文件、进程、环境或外部副作用。这需要单独的 Git/worktree/checkpoint 设计。
### 可插拔的 Evaluator 与 Budget
loop 的价值最终取决于结束时的 PASS 是否可信。如果 evaluator 会被 hack 或幻觉 PASS,前面几小时的工作全部作废。同一个 LLM 既生成又自评的架构本身就不可信:模型有条件说服自己 PASS。即便让独立 subagent 做 evaluator,只要 evaluator 还是 LLM,就仍然对同类内容有系统性偏好——独立 subagent 只是缓解不是根治。
可信评估同时需要确定性的判断机制,以及与 threat model 匹配的隔离边界:shell exit code、静态分析或外部服务避免 LLM 自评;独立 worktree、只读 mount、容器或远程服务防止 worker 改写 evaluator 输入。具体检查和边界只有用户知道:不同项目 `pytest` 命令不同、公司有私有合规检查器、有些团队还要跑内部 lint。主库无论内置几种都覆盖不全。所以 evaluator 必须做成用户可以自己接入的 seam。
预算方面同理:产品级的花费护栏是黑盒,无法按团队策略调整(个人卡、团队分摊、按 PR 结算)。
`Evaluator``BudgetPolicy` 都作为 cordis service seam 暴露。`Goal` 必须携带一个明确档位的 `EvaluatorSpec`driver 拒绝启动没有 evaluator 配对的 loop——含糊的目标("把代码写好")不能进入 loop 系统:
```ts
interface RubricItem { name: string; description: string }
interface EvaluatorContract { readonly name: string }
type CriteriaSpec =
| { kind: 'single-metric'; name: string }
| { kind: 'rubric'; criteria: RubricItem[] }
| { kind: 'contract'; interface: EvaluatorContract }
type ExecutorSpec =
| { kind: 'shell'; command: string }
| { kind: 'llm-judge'; rubric: string; model: string }
| { kind: 'provider'; name: string; config?: unknown }
type IsolationSpec = 'same-workspace' | 'separate-worktree' | 'container' | 'remote'
interface EvaluatorSpec {
criteria: CriteriaSpec
executor: ExecutorSpec
isolation: IsolationSpec
}
export {}
```
**为什么使用显式维度,而不是让用户传自由函数?** spec 强制用户在启动时声明评估什么、由什么执行判断,以及什么隔离边界保护它。自由函数看起来灵活,实际让 evaluator 强度隐性下沉——用户以为在做确定性隔离检查,实际写的是同工作区 LLM 判断。长跑场景下代价是几小时白跑。
criteria shape、executor 与 isolation 是三个正交维度,不是可信度阶梯:rubric 可以由 shell、LLM 或外部服务检查,contract 也可以在同一工作区或容器中运行。`llm-judge` 仍是最弱的 executor,仅用于确实无硬信号的软目标(改稿、翻译质量)。文档明确标注「此 executor 不能挡定向对抗,长跑无人值守场景至少需要一个确定性 evaluator,并配合与 threat model 匹配的隔离边界」。
Driver 强制四条结构约束,不下放给 Evaluator 实现。隔离强度仍是已配置提供方的显式属性,不是 driver 能凭空制造的保证。
**防「同一个 agent 既生成又自评」**
1. **LLM 评估使用 fresh subagent**LLM evaluator 每轮开 fresh subagent(用 `dsh-subagent``spawn`),不继承主循环 context
**防 evaluator subagent 自身被 subverted**
2. **限制模型可见工具集**LLM evaluator 的 model-facing tool set 被 driver 剥离到只保留读类工具,写类工具禁用(复用 `SubagentProvider``toolFilter`)。这会减少意外修改,但不是进程隔离:除非已配置隔离边界拦截,否则 shell、代码运行时或其他 capability 仍能写入
**防 evaluator 报告本身欺骗 driver**
3. **PASS 只能由 evaluator 报告翻转**`goal-met` StopCondition 只能来自 evaluatordriver 或主 agent 都不能直接构造
4. **Default-FAIL**driver 内部维护每个 criterion 的 pass 状态默认 `false`,只有 evaluator 报告里带非空 evidence 才允许翻 `true`evaluator 无法通过返回 `{pass: true}` 而不给 evidence 让 driver 接受
四条一起保证 evaluator 结论在结构上由证据推动,而不是由自信推动。它们不能阻止主 agent 在共享工作区中修改 evaluator 输入。
**Phase 1 内置三个 backend**
- `loop-evaluator-shell` 实现 `single-metric`:跑 shell 命令,`exit 0` = pass
- `loop-evaluator-rubric-judge` 实现 `llm-judge`:预写 rubric + LLM 打分,仅软目标
- `loop-budget-preflight`:每轮启动前估 `(promptTokens + overhead + estOutputTokens) / 1M × pricePerMTok`,超 `perRoundUsd` 拒绝启动。估算模型来自 MartinLoop `policy.ts:551-596`
`PricingProvider` 服务注入 pricing 表,test seam 可覆盖,不硬编到 driver 里(AGENTS.md「No hardcoded tunables in plugins」)。解析后的 budget 携带 `maxRounds`、可选 `maxTokens``maxUsd`,以及可选 `perRoundUsd`。driver 在启动工作前检查单轮准入,随后在每次请求后累计 worker、evaluator、compaction 和 reflector 用量。token 或 USD 上限可能被一个在途请求超出,因为 usage 在完成后才到达;`budget-cap` 结果同时报告 `observed``maximum``rubric``contract` criteria shape 在 Phase 2 补内置 executorPhase 1 暴露这些 shape 让第三方插件先接。
**局限**`same-workspace` 加只读 model-facing tool set 不是硬隔离。当前 `packages/fs` policy 实施 read-before-edit 与版本保护,不是路径拒写;bash 或代码运行时可以绕过 filesystem tool。挡定向对抗需要覆盖所有写入通道的边界,例如只读 mount、隔离 worktree、容器或远程 evaluator。两容器方案(evaluator 定义文件对主 agent 完全不可访问,Anthropic patch.py 走的就是这条路)仍在 Phase 3。见 风险。
### 可插拔的 RoundHandoff
每轮之间如何传递 context 是一个两难。完整保留之前对话(continue)连续性好,但对话会持续增长最终撞上 context 上限,且上一轮的错误信息会污染后续每一轮。每轮从零开始(fresh)避免污染,但每次需要重新理解上下文。跑 3 轮改稿与跑 80 轮 overnight 修 bug 需要的策略是相反的。Claude Code、Codex 都硬编一种模式,用户没法按任务类型切换。
做成 service seam
```ts
interface ContinuationRun {
readonly id: string
resume?(prompt: string): Promise<ContinuationRun>
}
interface PreviousRound {
result: unknown
evaluator: { criteria: readonly { name: string; pass: boolean; evidence: readonly string[] }[] }
tokenUsage: number
summary: string
sessionId: string
run?: ContinuationRun
}
interface RoundContext { loopId: string; round: number; previous: PreviousRound }
type NextRoundSpec =
| { mode: 'fresh'; prompt: string }
| { mode: 'continue'; run: ContinuationRun; prompt: string }
interface RoundHandoff {
buildNextRound(prev: RoundContext, signal: AbortSignal): Promise<NextRoundSpec>
}
export {}
```
Phase 1 交付 fresh backendPhase 2 在 provider continuation 存在后增加两个 continuation backend
| Backend | Phase | 场景 | 机制 |
|---|---|---|---|
| `handoff-fresh-with-summary`(默认) | Phase 1 | 长跑、无人值守 | 每轮开 fresh subagent,只注入一段 progress 摘要作 system prompt 附加段 |
| `handoff-continue-with-compaction`(推荐中间档) | Phase 2 | 5–20 轮的中等长度 | 整段对话保留到 token 阈值,超了复用 [`packages/compact`](../../../../packages/compact/README.md) 压缩,摘要 + 最近 K 轮作起点 |
| `handoff-continue-raw`(专业档) | Phase 2 | ≤5 轮短任务、测试 | 纯连续对话不裁剪 |
**为什么默认 fresh** 所有实际跑成的长跑 looprepomirror、Kimi ralph-loop、autoresearch)用的都是 fresh。把重要 loop 状态放在 context window 外由 driver 管理是长跑的正确姿势。`handoff-continue-raw` 违反这条经验,README 明写长跑不适用。
**为什么中间档只有我们能做?** `handoff-continue-with-compaction` 依赖 compaction seam——竞品都没有,只有本仓库 `packages/compact` 提供了这个基础设施。
**为什么做成 seam 而不是三选一 flag?** 用户可以写 20 行插件表达「前 5 轮 continue、之后 fresh」这类混合策略,或表达「context 到 50% 自动 compact 一次」,不用等主库支持。
**局限**`continue-with-compaction` 依赖 `packages/compact` 的压缩质量,压缩本身可能把幻觉信息写进摘要传下去;README 建议长跑首选 fresh。三个 backend 的边界会让新用户不知道选哪个;`dsh-sdk loop` CLI 默认用 fresh,用户在遇到具体问题前不需要理解这些差别。
### 可插拔的 GoalReflector
用户在启动 loop 时给的目标不一定准确。可能基于错误假设(让 agent 用某个已经废弃的 API 实现功能),可能不够清晰(agent 在做的过程中才发现需要澄清),也可能被后来的信息证伪。现在的循环执行框架把 goal 当作启动时冻结的合约,agent 只能沿着原路蛮干,结果是在错的方向上耗尽预算。
Phase 2 把它做成 service seam,与 `Evaluator` 职责分离:evaluator 问「是否达成目标」,reflector 问「目标是否还是那个目标」。Phase 1 只携带 concern event,以及 `stop``notify-continue` driver policy,不注册没有调用方的 `GoalReflector` service。
```ts
interface RoundContext { loopId: string; round: number }
interface GoalConcern { concern: string; severity: 'low' | 'medium' | 'high' }
interface GoalReflector {
reflect(ctx: RoundContext, concerns: GoalConcern[]): Promise<GoalReflection>
}
type GoalReflection =
| { kind: 'continue' } // goal 仍有效
| { kind: 'revise'; newGoal: string; why: string } // 建议修正 goal
| { kind: 'stop-for-human'; reason: string } // 需要人拍板
export {}
```
**concern 有三种触发来源**。Phase 1 实现前两种;`GoalReflector` service 与周期性来源一起在 Phase 2 加入:
- **agent 主动**:通过 model-facing tool `loop_flag_concern({ concern, severity })`。agent 在调研中意识到「用户假设的那个库已经废弃」时可以直接 raise
- **driver 启发式**:预算过 50% 且零 criterion pass 时,driver 自动 raise `no-progress-toward-goal` concern
- **周期性 reflector subagent**Phase 2):每 N 轮独立跑一个只读 subagent 复审 goal 有效性,与 evaluator 独立性遵循同一思路
**响应策略通过 `onGoalConcern` 配置项**。这四种配置对应不同的 loop 使用哲学,用户按团队协作方式选,driver 不预设立场:
- `'stop'`Phase 1 默认):任何 concern 都触发 `StopCondition: approval-required`,人拍板。loop 在遇到任何不确定性时都不应自己往下走,适合谨慎风格团队与影响面较大的 loop 场景
- `'notify-continue'`Phase 1):记录普通 `loop/goal-concern` session event 后继续跑,人在结束时集中审阅。ACP 没有通用高优先级 marker,因此专用 concern 渲染与 ACP command 基础设施一起后置。loop 内部不打扰,适合无人值守长跑
- `'reflect'`Phase 2):调 `GoalReflector` 决定 continue、revise 还是 stop。委派一个独立 agent 代替人做初步判断,适合中等自主度的团队
- 不注册 `GoalReflector``onGoalConcern` 未设 = 最放手档,loop 只在传统 stop condition 触发时停
**为什么默认选 `stop`** 无人值守场景下宁可多停一次也不要在错方向上跑几小时。用户明确要无人值守可切 `notify-continue`
concern 本身就是普通 session event,跟前文的持久化 session 能力天然协同:后续 replay 可以从 concern 出现的轮次为新对话提供 seed,并替换 goal。这不会把工作区回滚到该轮。
**滥用与丢失防护**。agent 可能每轮都 raise concern;缓解是 `severity` 字段和 driver 侧的最小 rate limit(同一 concern 30 秒内去重)。这种滥用的代价是 agent 卡住自己无法推进,动机不强。goal 被 revise 后原始 goal 会丢失;每次 revise 落 `loop/goal-revised` session event 带 rationale,后续 replay 可选任意历史 goal 版本,但不承诺恢复工作区。
### 用户面
四个触发面共享同一个 driver
- **agent 侧 tool**`loop({ goal, evaluator, maxRounds, maxUsd, onGoalConcern })` 通过 `ctx.tasks` 注册 `kind: 'loop'`,立即返回 task id,并在后台运行 harness loop。`task_output``task_list``task_kill` 负责收集与取消。正在跑的 loop 内部 agent 可用 `loop_flag_concern({ concern, severity })` 主动发起 concern。ACP 渲染意图为 `generic`。agent 自主发起就是 proactive 触发,无需额外机制
- **CLI**`dsh-sdk loop <prompt> --stop <shell-cmd> --max-rounds N --max-usd X --handoff fresh`。人类主导启动,最典型的 Ralph 风格用法
- **cordis leaf**`cordis.yml` 里以 leaf 形式声明常驻循环,配合未来的 `dsh-schedule` RFC 可做周期性触发
- **ACP slash command**`/loop <goal>`(还有 `/loop-flag-concern`)在编辑器/客户端的当前会话里直接启动。语义等价于人类在 CLI 里敲 `dsh-sdk loop`,但发生在正在进行的 ACP session 上下文中,允许 loop 结果直接注入会话
ACP slash command 的依赖:`packages/ui/acp``available_commands_update` 面目前是 unbuilt 状态([acp-feature-support.md](../../../../packages/ui/acp/acp-feature-support.md))。等 harness 的 slash command 基础设施落地,`/loop``/loop-flag-concern` 只需在该基础设施里注册;driver 与 tool 接口不变。本 RFC 保留名字并给出参数 shape,但不承诺基础设施本身——那属于独立的 ACP 补齐 RFC。
默认 system prompt 里有两条行为指令,随所有内置 `loop` tool 一起分发:
1. 不允许写 `TODO``FAKE``PLACEHOLDER` 占位符让 evaluator 表面通过
2. 不允许写空的 `try/except``catch(_)` 让 evaluator 忽略错误
这两条无法在 seam 层强制,只是 prompt 层 guidance,不能描述成硬约束。用户可以自定义 system prompt;需要强制这些规则的 evaluator 必须显式检查。
### 与仓库现有代码的关系
直接复用无需修改:
- `packages/subagent``spawn` provider、`toolFilter``persona`——loop 每轮起 subagentLLM evaluator 获得受限的 model-facing tool set,不获得进程隔离保证
- `packages/tasks`——model-facing loop 是 `loop` task producer,复用 owner isolation、`task_output`/`task_list`/`task_kill`、完成通知、取消和 awaited cleanup
- `packages/session-persistence` 的 SQLite backend——loop-session 落盘
- `packages/session-query`——精确读取 live 与已持久化 session,用于事后诊断
- `packages/compact`——`handoff-continue-with-compaction` 的实现基础
- `packages/todo`——单会话 continue 模式下作为可选 progress 表达
- 若 [ToolExecution.reportProgress](2026-07-13-stream-workflow-progress-through-tool-calls.md) 先落地,loop tool 可用它逐轮 UI 更新
不动:`packages/core/agent-loop`inner loop 语义保持);`packages/workflow`DAG 编排 vs. 迭代同 goal 是 orthogonal 关系,两个 README 在「Related」段互链说明边界)。
依赖尚未落地的一处:
- ACP slash command 基础设施(`available_commands_update` 面)——见 用户面。基础设施落地前,slash command 触发面缺席,其它三个触发面照常工作
拟议中的 [SQLite FTS5 search](2026-07-10-sqlite-session-query-provider.md) 是现有 exact-read query service 之上的可选 Phase 2 发现能力增强,不是 Phase 1 event 访问的依赖。
Continuation 工作可以延后到 Phase 2`SubagentRun.sendMessage``resume` 方法作为可选 seam capability 存在,但当前 `subagent-spawn` provider 明确不暴露这两个方法。因此,两个 `handoff-continue-*` backend 需要 provider 实现、capability check、ownership 测试和 consumer surface,不只是给 `packages/subagent-tool` 增加参数。Phase 1 只交付 `handoff-fresh-with-summary`,不改 subagent continuation。
### 分阶段
**Phase 1**(本 RFC 承诺范围):三包 seam;`StopCondition`criteriaexecutorisolation 三个正交维度的 `EvaluatorSpec`,其中 shell 与 LLM-judge execution 有内置实现,rubriccontract criteria shape 开放待接;Default-FAIL 强制;evaluator 与累计 budget backend`handoff-fresh-with-summary``ctx.tasks` 集成;`loop_flag_concern` toolno-progress 启发式;`onGoalConcern: 'stop' | 'notify-continue'` 二档;CLItool;默认 system prompt guidance。**不含**SQLite FTS5 search 面、ACP slash command 触发面(依赖 `available_commands_update` 基础设施)、subagent continuation provider/tool 工作、`GoalReflector` service、stuck 检测器、Reflector subagent、`loop_split` tool,以及每种 rubriccontract 组合的内置 executor。
**Phase 2**SQLite FTS5 search 面;stuck 检测器(复现 OpenHands 5 种模式);subagent continuation provider 实现、capability check 与 consumer surface(解锁两个 continue handoff);`GoalReflector` service 与 Reflector subagent`onGoalConcern: 'reflect'` 档;`loop_split` model-facing tool;更多 rubriccontract 组合的内置 executor。
**Phase 3**agent fleet(同 goal 派 N 个并行 loop 取最优);与 `dsh-schedule` 集成;两容器 evaluator 隔离(evaluator 定义文件对主 agent 完全不可访问,防 reward 反向优化)。
## 备选方案
**扩 `packages/core/agent-loop`**:给 inner loop 加「iterate on end_turn until goal」开关。拒绝——AGENTS.md「新行为走文档化扩展 seam;改 agent-loop 需要更新 docs/architecture.md」。harness loop 需要跨 session、跨 agent 的状态,塞进 inner loop 会把 session 语义拧成两层混合。
**只做一个 slash command `/loop`Claude Code 复刻)**:实现最简。拒绝——slash-command 层不解决 harness/inner 边界;四条设计要点(可查询 session、分档 evaluator、可插拔 handoff、可插拔 goal reflector)在 slash-command 层没有承载点,本 RFC 承诺的能力全部丢失。
**全权外包给 `packages/workflow`**:把 loop 表达成带回边的 workflow 节点。拒绝——workflow 缺 iteration、StopCondition、Evaluator 的一等公民语义。硬用会把 evaluator 冒充成一个 phase,违反 evaluator 独立于 producer 的架构隔离要求;预算护栏在 workflow 是 phase-level 而非 round-level,粒度对不上。
**Afreshvs. Bcontinue)硬编二选一**Ralph 派和 LoopTroop 派各自都有强场景。拒绝——可插拔的 RoundHandoff 提出 seam + 三档内置 backend 涵盖两派并允许 hybrid。
**不做 evaluator seam,内置几种够用**:更轻。拒绝——可插拔的 Evaluator 与 Budget 的核心价值是团队或私有 evaluator 可扩展。写死后长跑无人值守场景的用户只能改主库。
**接受不带显式 `EvaluatorSpec` 的自由函数**:允许用户传任意 `(result) => boolean`。拒绝——criteriaexecutorisolation 维度强制用户在启动时声明评估什么、由什么执行判断、由什么边界保护,防止不知不觉滑到更弱的配置。自由函数看起来灵活,实际让 evaluator 强度隐性下沉,长跑场景代价大。
**引入独立记忆引擎(Beads / dex-style**:外部化状态的成熟做法。拒绝——`packages/session-persistence` 加现有 exact-read `ctx.sessionQuery` 已经覆盖 Phase 1 诊断,SQLite FTS5 后续可以补 search;新引擎收益远小于维护成本。
**goal reflection 塞进 Evaluator seam**(让 evaluator 返回「criteria 不可能满足」):拒绝——混淆「是否成功」和「目标是否正确」两个正交问题。`Evaluator` 应保持独立、只读、简单。
**goal-concern 永远只做 event 不做 seam**:更轻。Phase 1 确实使用 event 加 `stop``notify` policy;作为最终设计仍拒绝,因为 Phase 2 的 `reflect` 路径需要可替换响应策略。seam 与首个调用方一起落地,不提前出现。
**Phase 1 就上完整 Reflector subagent**:更全。拒绝——`loop_flag_concern` tool + no-progress 启发式 + 二档 policy 覆盖 80% 场景;每轮跑独立 subagent 成本高,Phase 2 按需引入更合理。
**不做 `loop_split`,用户自己拆**Phase 1 已经如此。Phase 2 加是因为长跑场景发现 agent 收到过大 goal 会直接跑而不是自己拆,需要显式工具引导。
## 验收标准
- `packages/loop/{loop,loop-driver,loop-tool}` 三包按 capability seam 建成;`dsh-loop` 只导 types 与 registry
- `StopCondition` 判别覆盖所有分支(单元),`assertNever` 编译期收口
- Phase 1 的 `Evaluator``BudgetPolicy``RoundHandoff` 三条 service 都能被外部插件替换(fixture:注入 mock 实现,driver 正确调用);Phase 2 `reflect` consumer 出现前不注册 `GoalReflector` service
- `EvaluatorSpec` 的 criteriaexecutorisolation 维度在编译期收敛;driver 拒绝启动没有 evaluator 配对的 loopfixture`loop({ goal, evaluator: undefined })` 立即返回配置错误)
- Default-FAIL fixtureevaluator 报告返回 `{criterion, pass: true, evidence: []}` 时 driver 拒绝该 criterion 翻转、记 `evaluator/invalid-report` session event
- `RoundHandoff` 接收上一轮 result、evaluator report、token usage、summary、session id、可选 run handle 和 cancellation signalPhase 1 的 `fresh-with-summary` 有单元覆盖与一个 pass-path e2econtinuation backend 测试等待 Phase 2 provider 支持
- `dsh-sdk loop` CLI e2e:给定 goal + 3 轮上限 + 一个 shell evaluator,通过与耗尽两条路径都返回结构化 stop cause 并 exit code 语义化
- Evaluator scope fixture:主 agent 有 fs.writeLLM evaluator 的 model-facing tool set 没有;结果与文档仍把 `same-workspace` 标记为未隔离,不暴露 `protectedPaths` 保证
- Budget fixture 覆盖 `perRoundUsd` 准入,以及跨 worker 与 evaluator usage 累计的 `maxRounds``maxTokens``maxUsd`;在途超限 emit 带 `observed``maximum``budget-cap`
- Goal concern fixture`loop_flag_concern` 可从主 agent 调用并产出普通 `loop/goal-concern` session event`onGoalConcern: 'stop'` 下 emit `approval-required` StopCondition`'notify-continue'` 下继续跑且不携带不存在的 ACP priority metadatano-progress 启发式在预算超 50% 且零 pass 时自动触发一次(rate-limit 去重)
- 默认 system prompt guidance(无 TODO/FAKE/PLACEHOLDER、无空 catch)随内置 `loop` tool 一起分发,snapshot 覆盖 prompt 内容但不把它当作强制机制
- 每轮的 prompt、inner-loop 结果、evaluator report、stop 决策都以 session event 出现,并可通过现有 exact-read `ctx.sessionQuery` 读取;FTS5 search 留在 Phase 2
- model-facing loop 启动后立即返回 `loop` task id`task_output``task_list``task_kill`、父 agent dispose、取消、producer reload 和 service dispose 覆盖 owner isolation 与 awaited quiescence
- `packages/loop/README.md``packages/workflow/README.md` 的「Related」段互链清楚「何时用 workflow、何时用 loop」的边界
- 单元 100% / snapshot / e2e / doc-sync / verify-module-graph / build / hygiene 全绿;新增 tool 的 ACP 渲染意图(`generic`)有 snapshot
## 风险
**对话 replay 不是工作区恢复**。精确 session 读取已经存在,FTS5 改善历史发现能力,不决定正确性。基于当前工作区 replay 某一轮 prefix 可以诊断或改变运行方向,但复现该轮执行世界需要 Git/worktree/checkpoint 支持,以及针对外部副作用的显式 policy。
**`packages/workflow` 与 loop 的边界是持续答疑热点**。「多轮是 loop 还是 workflow」两个 README 必须写清楚:workflow 是「步骤已知、agent 未定、并串行编排」;loop 是「agent 已定、轮数未定、evaluator 判停」。文档不清晰会让用户混用错档。
**evaluator 反向优化(reward hacking**。足够长的 loop 里 agent 有条件识别 evaluator 的模式并针对性优化,例如发现「只要测试文件里出现 `assert True` 就 PASS」从而绕过实质完成。Phase 1 的 `same-workspace` 模式不能阻止 agent 通过 bash、代码运行时或其他写入通道修改测试或 evaluator 配置;当前 `packages/fs` policy 不是路径隔离边界。需要对抗强度的用户必须选择隔离 worktree、只读 mount、容器或远程 evaluator。Phase 3 的两容器方案让 evaluator 整个运行时(二进制、rubric、依赖库)对主 agent 完全不可访问,Anthropic patch.py 走的就是这条路。
**占位符伪造与过度防御码**。agent 有时会写 `# TODO: implement` 让测试勉强通过,或写大量 `try/except: pass` 让 evaluator 表面 PASS。这些不属于 evaluator 层的问题,而是 agent 生成阶段的 prompt 与训练问题。用户面 段的两条默认 system prompt 指令只是 guidance;用户在自定义 evaluator 中加入「静态检查禁止 TODO 与空 catch」才能获得可强制覆盖。这类问题不是 seam 层能根治的。
**预算估算漂移与在途超限**。pricing 可能变化,累计 tokenUSD usage 只能在每次 worker、evaluator、compaction 或 reflector 请求报告 usage 后精确。preflight 保护单轮;累计上限会停止下一个请求,但可能被一个在途请求超出。README 同时报告 observed 与 maximum,并说明 provider 账单才是权威。
**后台 task 只存在于当前进程**`ctx.tasks` 为 model-facing loop 提供 owner isolation、通用收集/取消、完成通知和 awaited cleanup。父 agent 或 service dispose 会取消并等待 loop;进程 crash 无法执行 cleanup,持久重启不在 Phase 1 范围内。
**长跑 loop 日志膨胀**。跑 100 轮 loop 单 session 上 MB 级。`logDetail: 'summary'` 兜底但 Phase 1 默认 `full`Phase 2 再补 summary 语义。
**pre-release 允许直接演进**`SESSION_FORMAT_VERSION=0``LoopRoundEvent` schema 可随时改;后端拒收旧格式而非兼容,与 AGENTS.md 顶部 pre-release stance 一致。
+17 -14
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@@ -1,10 +1,10 @@
# DeepSeek Harness Architecture
The **DeepSeek Harness SDK** builds agent harnesses on Cordis. The principle is simple: **everything is a plugin**. The shipped loop is one plugin, not a privileged kernel.
The **DeepSeek Harness SDK** builds on Cordis: **everything is a plugin**, including the shipped loop.
## Overview
A harness is one [Cordis](cordis-primer.md) context. Packages add services (`ctx.llm`, `ctx.tools`, `ctx.sessions`), typed events (`agent/request`, `tools/pre-execute`, `session/event`), and disposable prompt, tool, provider, adapter, and listener registrations.
Harnesses are [Cordis](cordis-primer.md) contexts. Packages contribute services (`ctx.llm`, `ctx.tools`, `ctx.sessions`), typed events (`agent/request`, `tools/pre-execute`, `session/event`), and disposable prompts, tools, providers, adapters, and listeners.
`packages/core/` groups the default agent flow; surrounding capabilities are equally first-class Cordis plugins.
@@ -36,6 +36,7 @@ A harness is one [Cordis](cordis-primer.md) context. Packages add services (`ctx
| `ctx.subagents` | [`subagent/`](../packages/subagent/README.md) | named delegation providers |
| `ctx.tasks` | [`tasks/`](../packages/tasks/README.md) | background task registry + generic `task_*` control tools |
| `ctx.workflows` | [`workflow/`](../packages/workflow/README.md) | script-driven multi-agent orchestration |
| `ctx.goals` | [`goal/`](../packages/goal/README.md) | persisted same-session goals |
| `ctx.sessionPersistence` | [`session-persistence/`](../packages/session-persistence/README.md) | durable storage for session logs |
| `ctx.sessionQuery` | [`session-query/`](../packages/session-query/README.md) | live-preferred logical-corpus exact reads and relationship traces |
@@ -109,7 +110,7 @@ forever:
Each step assembles ordered prompt sections, tool schemas, and `{{name}}` variables; unknown or valueless references fail the turn. `dsh-system-prompt` owns the harness identity and default persona, which an agent scope may shadow. The loop supplies `model` and `cwd` ([prompt ownership](../.agents/notes/implemented/architecture/2026-07-05-prompt-variables-and-tool-guidance-ownership.md)).
Tool-time context—including async `agent.inject()` notices and post-tool `additionalContexts`—settles, then follows recorded results. Steering drains before `agent/post-step`, which observes durable output, results, context, and steering before signal closure. Leftovers become queued input. Terminal `agent/turn-stop` runs after continuation and steering folding, stays authoritative through turn close and flush, and discards later steering but preserves queued prompts.
Tool-time context—including async `agent.inject()` notices and post-tool `additionalContexts`—settles after results. Steering drains; before signal closure, `agent/post-step` observes durable output, results, context, and steering. Leftovers queue. Terminal `agent/turn-stop` runs after continuation and steering folding, remains authoritative through close/flush, and discards later steering while preserving queued prompts.
Pruning precedes summaries; overflow retries require durable progress. Bounded transient retries compose on `agent/request-error`; cancellation wins ([compaction](../.agents/notes/implemented/architecture/2026-07-10-after-call-compaction-pressure-and-overflow-recovery.md), [retry](../.agents/notes/implemented/architecture/2026-06-21-bounded-llm-request-recovery.md)).
@@ -117,7 +118,7 @@ Pruning precedes summaries; overflow retries require durable progress. Bounded t
The turn is the containment boundary. Adapter failures close the step, entering `agent/request-error` with the exact `Error`, `LlmFailure`, and retry history. Retry opens a numbered step; success clears history; exhaustion stores the failure on `turn/end`. Failed chunks commit no message or tool.
Other failures use `agent/error`. Cancellation and disposal beat recovery; undispatched model tool calls receive synthetic `tool/call` and `ABORTED` result pairs before `turn/end`. `cancel()` clears queues and aborts active work; disposal awaits quiescence before unregistering.
Other failures use `agent/error`. Cancellation beats recovery; undispatched calls get synthetic `ABORTED` results. Effective `cancel()` emits `agent/cancel-requested` before queue clearing or abort; observers cannot veto it, and idle calls emit nothing. Disposal awaits quiescence.
Every session event is turn-enclosed. Reloading preserves an interrupted tail and closes it with a synthetic `interrupted` turn end. Failures after durable turn close report only through `agent/error` because no safe in-turn position remains. Each turn has one `TurnEndReason`; [TurnEndReasonMap](core-data-structures/session.md#why-a-turn-ended-turnendreasonmap) owns the variants.
@@ -149,34 +150,36 @@ Streaming uses raw chunks and `BlockAssembler`. One `LlmAdapter.stream()` is one
### Capability Pattern
A swappable capability usually splits into **interface / implementation / consumer**: the interface owns its `ctx` key and events, an implementation registers a backend, and a consumer exposes model behavior through tools or prompts. Bash is the reference; the [capability graph](capability-seams.md) shows every family.
A swappable capability usually splits into **interface / implementation / consumer**: service/events, a backend, and model-facing tools/prompts. Bash is the reference; the [capability graph](capability-seams.md) maps each family.
Some seams bend the template deliberately: LLM combines interface and consumer because adapters implement it; filesystem wraps provider primitives with policy; web keeps search/fetch provider registries behind one service; skills and subagents use named providers. Subagents spawn fresh, fork a completed-turn prefix, or use ACP children ([subagent.md](core-data-structures/subagent.md)).
Exceptions combine layers: LLM interface/consumer; filesystem policy; web registries; named skill/subagent providers. Subagents spawn fresh, fork a completed-turn prefix, or use ACP children ([subagent.md](core-data-structures/subagent.md)).
`dsh-workspace-context` composes baselines on `agent/session-prefix` and appends `ctx.fs`-discovered nested changes on `tools/post-execute`; its [decision](../.agents/notes/implemented/feature/2026-06-24-workspace-context.md) records isolation. `dsh-paths` owns shared paths.
### Bundles And Apps
`dsh-agent-spine-demo` bundles the default spine ([README](../packages/examples/agent-spine-demo/README.md)). `dsh-tui-demo` owns the interactive full-screen terminal; `dsh-cli-demo` runs one persisted headless turn with format-pure stdout; `dsh-acp-demo` adds stdout-pure ACP over JSON-RPC ([ui/](../packages/ui/README.md)). `dsh-jsonrpc-agent` boots external `cordis.yml`; the Python SDK supplies its default only without an explicit config channel and drives `dsh-jsonrpc` over line-delimited JSON-RPC ([Python SDK](../python/README.md)). Deployments remain thin leaves with swappable backends and optional product tools ([examples/](../examples/AGENTS.md), [runnable wirings](cookbook/extension-cookbook.md#runnable-wirings), [graph atlas](graph-atlas.md)).
`dsh-agent-spine-demo` bundles the default spine ([README](../packages/examples/agent-spine-demo/README.md)). `dsh-tui-demo` owns the interactive full-screen terminal and human-command registry; `dsh-cli-demo` runs one persisted headless turn with format-pure stdout; `dsh-acp-demo` adds stdout-pure ACP over JSON-RPC and the same command registry ([ui/](../packages/ui/README.md)). `dsh-jsonrpc-agent` boots external `cordis.yml`; the Python SDK supplies its default only without an explicit config channel and drives `dsh-jsonrpc` over line-delimited JSON-RPC ([Python SDK](../python/README.md)). Deployments remain thin leaves with swappable backends and optional product tools ([examples/](../examples/AGENTS.md), [runnable wirings](cookbook/extension-cookbook.md#runnable-wirings), [graph atlas](graph-atlas.md)).
### Where New Behavior Goes
New behavior should attach to a documented extension point; changing the shipped loop requires updating this map.
New behavior attaches to a documented extension point; a loop change updates this map.
| Goal | Mechanism |
|---|---|
| Add a model provider | register an adapter on `ctx.llm` |
| Add a model-facing capability | register a tool on `ctx.tools`; schemas flow into prompt assembly |
| Add command execution | implement and register a `ctx.bash` backend |
| Add a long-running/background capability | register the work on `ctx.tasks`; the generic `task_*` tools collect/stop it |
| Add a model-facing capability | register on `ctx.tools`; schemas enter prompt assembly |
| Add shell execution | implement and register a `ctx.bash` backend |
| Add a human command | register on `ctx.commands`; adapters discover and dispatch it without a model turn |
| Add background work | register on `ctx.tasks`; generic `task_*` tools collect or stop it |
| Add filesystem access or policy | implement a `ctx.fs` provider or listen on `fs/*` policy events |
| Confine spawned processes | a `ctx.sandbox` backend; consumers wrap their argv before spawning |
| Intercept prompts, requests, model completion/failure, tool use, or continuation | listen on the relevant `agent/*` or `tools/*` event; use serial `agent/turn-stop` for a monotonic terminal stop |
| Add a session-stable request prefix outside history | compose it on `agent/session-prefix`, once per loop instance; logged on the request header |
| Intercept a request, tool, or turn | use its `agent/*` or `tools/*` event; `agent/turn-stop` is the serial terminal stop |
| Add a session-stable prefix outside history | compose `agent/session-prefix`; the request header logs it |
| Add UI or editor integration | drive `ctx.agents` and render from `session/event` |
| Add durable session state | add a `SessionEventMap` member and render/replay from the log |
| Manage a same-session objective | use `ctx.goals`; continue through `Agent` and `agent/*` |
| Fork a live session | use `ctx.sessions.fork(source, boundary?, childSessionId?)` |
| Scope a tool, prompt section, or listener to ONE agent | register it through that agent's `agent.ctx` (see Agent Scope) |
| Scope a registration to one agent | use that agent's `agent.ctx` (see Agent Scope) |
The [extension cookbook](cookbook/extension-cookbook.md) carries plugin skeletons and the feature-to-seam map; step-by-step guides cover [packages](cookbook/adding-a-package.md), [tools](cookbook/adding-a-tool.md), [LLM adapters](cookbook/adding-an-llm-adapter.md), and [vendored packages](cookbook/adding-a-vendored-package.md).
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@@ -48,6 +48,8 @@ flowchart LR
pkg_user_interaction["user-interaction"]
svc_userInteraction["ctx.userInteraction<br/>Human question/answer seam"]
pkg_tui["tui"]
pkg_commands["commands"]
svc_commands["ctx.commands<br/>Human command registry"]
pkg_skill["skill"]
svc_skills["ctx.skills<br/>Skill provider registry"]
pkg_skill_local["skill-local"]
@@ -55,6 +57,8 @@ flowchart LR
pkg_tui_demo["tui-demo"]
svc_agentLoop["ctx.agentLoop<br/>Concrete loop driver"]
pkg_agent_spine_demo["agent-spine-demo"]
pkg_goal["goal"]
svc_goals["ctx.goals<br/>Same-session goal domain"]
pkg_bash["bash"]
svc_bash["ctx.bash<br/>Bash executor seam"]
pkg_bash_local["bash-local"]
@@ -111,12 +115,14 @@ flowchart LR
pkg_bash_sandbox --> svc_bash
pkg_code_runtime --> svc_codeRuntime
pkg_code_runtime_worker --> svc_codeRuntime
pkg_commands --> svc_commands
pkg_compact --> svc_compact
pkg_compact_basic --> svc_compact
pkg_compact_tool_result_prune --> svc_toolResultPrune
pkg_fs --> svc_fs
pkg_fs_local --> svc_fs
pkg_fs_sandbox --> svc_fs
pkg_goal --> svc_goals
pkg_llm --> svc_llm
pkg_llm_deepseek --> svc_llm
pkg_llm_pi_ai --> svc_llm
@@ -165,6 +171,8 @@ flowchart LR
svc_bash --> pkg_hooks_codex
svc_bash --> pkg_tool_bash
svc_codeRuntime --> pkg_tools
svc_commands --> pkg_acp
svc_commands --> pkg_tui
svc_compact --> pkg_compact_basic
svc_fs --> pkg_tool_fs
svc_llm --> pkg_agent_loop
@@ -227,9 +235,11 @@ flowchart LR
| `ctx.systemPrompt` | `core` | [`system-prompt`](../packages/core/system-prompt) | - | [`agent-loop`](../packages/core/agent-loop), [`tools`](../packages/core/tools), [`tool-fs`](../packages/fs/tool-fs), [`tool-web`](../packages/web/tool-web) | - | Collects prompt sections and model-facing tool schemas for each step. |
| `ctx.tools` | `core` | [`tools`](../packages/core/tools) | - | [`agent-loop`](../packages/core/agent-loop), [`tool-ask-user`](../packages/ui/tool-ask-user), [`tool-bash`](../packages/bash/tool-bash), [`tool-cordis`](../packages/cordis/tool-cordis), [`tool-fs`](../packages/fs/tool-fs), [`tool-skill`](../packages/skill/tool-skill), [`tool-subagent`](../packages/subagent/tool-subagent), [`tool-todo`](../packages/todo/tool-todo), [`tool-web`](../packages/web/tool-web), [`acp`](../packages/ui/acp) | - | Registers capabilities, owns Code Mode transport, and routes calls through pre-policy, monotonic guards, around dispatch, post-policy, and final-result observation. |
| `ctx.userInteraction` | `seam` | [`user-interaction`](../packages/ui/user-interaction) | [`tui`](../packages/ui/tui), [`acp`](../packages/ui/acp) | [`tool-ask-user`](../packages/ui/tool-ask-user), [`tui`](../packages/ui/tui), [`acp`](../packages/ui/acp) | - | UI front doors provide the active human-answer provider; tool-ask-user pauses a tool call on the provider-neutral ask() promise. |
| `ctx.commands` | `core` | [`commands`](../packages/ui/commands) | - | [`tui`](../packages/ui/tui), [`acp`](../packages/ui/acp) | - | Plugins register direct human commands; TUI and ACP consume the same effective per-agent catalog without sending invocations to the model. |
| `ctx.skills` | `seam` | [`skill`](../packages/skill/skill) | [`skill-local`](../packages/skill/skill-local) | [`tool-skill`](../packages/skill/tool-skill) | - | Merges provider skill catalogs; tool-skill renders the session-prefix catalog and loads complete skill bodies. |
| `ctx.agents` | `core` | [`agent`](../packages/core/agent) | - | [`agent-loop`](../packages/core/agent-loop), [`acp`](../packages/ui/acp), [`cli-demo`](../packages/examples/cli-demo), [`subagent-inprocess`](../packages/subagent/subagent-inprocess), [`tui-demo`](../packages/examples/tui-demo), [`invariants`](../packages/support/invariants) | - | Owns live Agent handles, the create/resume factory seam, and process-local initiator propagation. |
| `ctx.agentLoop` | `bundle` | [`agent-loop`](../packages/core/agent-loop) | - | [`agent-spine-demo`](../packages/examples/agent-spine-demo) | - | The one concrete loop plugin; extension packages depend on dsh-agent events and services, not on this package. |
| `ctx.goals` | `core` | [`goal`](../packages/goal/goal) | - | - | - | Folds revisioned objective state from the session log and keeps live continuation activation process-local. |
| `ctx.bash` | `seam` | [`bash`](../packages/bash/bash) | [`bash-local`](../packages/bash/bash-local), [`bash-sandbox`](../packages/bash/bash-sandbox) | [`tool-bash`](../packages/bash/tool-bash), [`hooks-claude`](../packages/hooks/hooks-claude), [`hooks-codex`](../packages/hooks/hooks-codex) | - | The model-facing bash tools and hook bridges consume this seam; sandboxed or remote executors replace bash-local without touching them. |
| `ctx.bashEnv` | `core` | [`tool-bash`](../packages/bash/tool-bash) | - | - | - | Plugins declare effect-scoped DSH_* facts; tool-bash collects one trusted snapshot per execution and the executor rebuilds the namespace. |
| `ctx.sandbox` | `seam` | [`sandbox`](../packages/sandbox/sandbox) | [`sandbox-local`](../packages/sandbox/sandbox-local) | [`bash-sandbox`](../packages/bash/bash-sandbox) | - | Consumers hand over the exact argv they are about to spawn; same-world backends wrap it under a per-call policy and report enforcement. |
+36 -6
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@@ -11,7 +11,7 @@ A `Requires:` line lists the service keys the plugin `inject`s: its `cordis.yml`
## `@deepseek-ai/dsh-acp`
Requires: `agents` · `sessionPersistence` · `tools` · `userInteraction` · `llm` · `systemPrompt`
Requires: `agents` · `commands` · `sessionPersistence` · `tools` · `userInteraction` · `llm` · `systemPrompt`
```ts config-catalog
/** Plugin config: the agent template ACP sessions are created from. */
@@ -27,7 +27,7 @@ export interface AcpConfig {
Depends on: `Stream` (`@agentclientprotocol/sdk`)
Source: [`packages/ui/acp/src/index.ts:207`](../packages/ui/acp/src/index.ts)
Source: [`packages/ui/acp/src/index.ts:247`](../packages/ui/acp/src/index.ts)
## `@deepseek-ai/dsh-acp-demo`
@@ -75,7 +75,7 @@ export interface Config {
Depends on: [`agentCore`](../packages/examples/agent-spine-demo/src/index.ts) · [`JsonlCompression`](../packages/session-persistence/session-persistence-jsonl/src/index.ts) · [`ToolsConfig`](#deepseek-aidsh-tools)
Source: [`packages/examples/acp-demo/src/index.ts:36`](../packages/examples/acp-demo/src/index.ts)
Source: [`packages/examples/acp-demo/src/index.ts:37`](../packages/examples/acp-demo/src/index.ts)
## `@deepseek-ai/dsh-agent-loop`
@@ -358,6 +358,20 @@ Depends on: [`LocalConfig`](#deepseek-aidsh-fs-local)
Source: [`packages/fs/fs-sandbox/src/index.ts:49`](../packages/fs/fs-sandbox/src/index.ts)
## `@deepseek-ai/dsh-goal`
Requires: `agents`
```ts config-catalog
/** Deployment defaults for goal creation. */
export interface Config {
/** Total rounds used when a create request omits its own cap. */
defaultMaxGoalRounds?: number
}
```
Source: [`packages/goal/goal/src/index.ts:56`](../packages/goal/goal/src/index.ts)
## `@deepseek-ai/dsh-hooks-claude`
Requires: `bash`
@@ -1096,6 +1110,20 @@ export interface Config {
Source: [`packages/fs/tool-fs-search/src/index.ts:62`](../packages/fs/tool-fs-search/src/index.ts)
## `@deepseek-ai/dsh-tool-goal`
Requires: `agents` · `goals` · `tools` · `systemPrompt`
```ts config-catalog
/** Model policy and hard lower bounds for goal-state updates. */
export interface Config {
/** Minimum admitted goal rounds before the model may self-report `blocked`. */
blockedAfterConsecutiveRounds?: number
}
```
Source: [`packages/goal/tool-goal/src/index.ts:27`](../packages/goal/tool-goal/src/index.ts)
## `@deepseek-ai/dsh-tool-skill`
Requires: `tools` · `skills`
@@ -1244,7 +1272,7 @@ Source: [`packages/core/tools/src/index.ts:382`](../packages/core/tools/src/inde
## `@deepseek-ai/dsh-tui`
Requires: `agents` · `userInteraction` · `tools`
Requires: `agents` · `commands` · `userInteraction` · `tools`
```ts config-catalog
/** Serializable plugin configuration. */
@@ -1276,7 +1304,7 @@ export interface TuiConfig {
}
```
Source: [`packages/ui/tui/src/index.ts:102`](../packages/ui/tui/src/index.ts)
Source: [`packages/ui/tui/src/index.ts:103`](../packages/ui/tui/src/index.ts)
## `@deepseek-ai/dsh-tui-demo`
@@ -1320,7 +1348,7 @@ export interface Config {
Depends on: [`agentCore`](../packages/examples/agent-spine-demo/src/index.ts) · [`JsonlCompression`](../packages/session-persistence/session-persistence-jsonl/src/index.ts) · [`ToolsConfig`](#deepseek-aidsh-tools) · [`uiTui`](../packages/ui/tui/src/index.ts)
Source: [`packages/examples/tui-demo/src/index.ts:31`](../packages/examples/tui-demo/src/index.ts)
Source: [`packages/examples/tui-demo/src/index.ts:32`](../packages/examples/tui-demo/src/index.ts)
## `@deepseek-ai/dsh-user-approval`
@@ -1517,7 +1545,9 @@ Source: [`packages/context/workspace-context/src/config.ts:16`](../packages/cont
These load from a `cordis.yml` entry with no `config:` block; they declare no config surface.
- `@deepseek-ai/dsh-agent` ([`packages/core/agent/src/index.ts`](../packages/core/agent/src/index.ts))
- `@deepseek-ai/dsh-commands` ([`packages/ui/commands/src/index.ts`](../packages/ui/commands/src/index.ts))
- `@deepseek-ai/dsh-fs-policy` ([`packages/fs/fs-policy/src/index.ts`](../packages/fs/fs-policy/src/index.ts))
- `@deepseek-ai/dsh-goal-session` — requires `agents` · `goals` · `sessions` ([`packages/goal/goal-session/src/index.ts`](../packages/goal/goal-session/src/index.ts))
- `@deepseek-ai/dsh-invariants` — requires `sessions` ([`packages/support/invariants/src/index.ts`](../packages/support/invariants/src/index.ts))
- `@deepseek-ai/dsh-llm` ([`packages/llm/llm/src/index.ts`](../packages/llm/llm/src/index.ts))
- `@deepseek-ai/dsh-session` ([`packages/core/session/src/index.ts`](../packages/core/session/src/index.ts))
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@@ -13,6 +13,27 @@ Dispatch modes: **emit** (fire-and-forget), **waterfall** (each listener gets `n
## `agent/*`
### `agent/cancel-requested` — emit
Effective broad cancellation was requested, before queued/steering work is cleared or the active step is aborted. This observe-only notification cannot veto cancellation; listener failures are contained.
```ts cordis-catalog
/**
* Effective broad cancellation was requested, before queued/steering work
* is cleared or the active step is aborted. This observe-only notification
* cannot veto cancellation; listener failures are contained.
* @param agent - the agent whose current work is being cancelled.
* @param reason - resolved cancellation reason, including the default.
* Scope-filtered dispatch (`@deepseek-ai/dsh-scope`): agent-scoped listeners receive only that agent.
* @mode emit
*/
'agent/cancel-requested'(this: Scoped<Agent>, agent: Agent, reason: string): void
```
Types: [Agent](../core-data-structures/core.md) · [Scoped](../core-data-structures/scope.md)
Source: [`packages/core/agent/src/types.ts:191`](../../packages/core/agent/src/types.ts)
### `agent/created` — emit
A fully configured agent and live session were published. Setup is composition-only; `agent/session-start` is the first startup-driving seam. Synchronous listener failure vetoes publication, while returned-promise rejection is reported. Detach requested during dispatch waits until every creation listener has observed the stable entry.
@@ -33,7 +54,7 @@ A fully configured agent and live session were published. Setup is composition-o
Types: [Agent](../core-data-structures/core.md) · [Scoped](../core-data-structures/scope.md)
Source: [`packages/core/agent/src/types.ts:150`](../../packages/core/agent/src/types.ts)
Source: [`packages/core/agent/src/types.ts:153`](../../packages/core/agent/src/types.ts)
### `agent/disposed` — emit
@@ -53,7 +74,7 @@ An agent left the registry; AgentLoop emits this after driver quiescence but bef
Types: [Agent](../core-data-structures/core.md) · [Scoped](../core-data-structures/scope.md)
Source: [`packages/core/agent/src/types.ts:159`](../../packages/core/agent/src/types.ts)
Source: [`packages/core/agent/src/types.ts:162`](../../packages/core/agent/src/types.ts)
### `agent/error` — emit
@@ -75,7 +96,7 @@ A step or turn errored. The loop reports a failure here (plus the logger) even w
Types: [Agent](../core-data-structures/core.md) · [Scoped](../core-data-structures/scope.md)
Source: [`packages/core/agent/src/types.ts:315`](../../packages/core/agent/src/types.ts)
Source: [`packages/core/agent/src/types.ts:328`](../../packages/core/agent/src/types.ts)
### `agent/post-step` — serial
@@ -98,7 +119,7 @@ Awaited serial checkpoint after the response, real or synthetic tool results, in
Types: [Agent](../core-data-structures/core.md) · [Scoped](../core-data-structures/scope.md)
Source: [`packages/core/agent/src/types.ts:267`](../../packages/core/agent/src/types.ts)
Source: [`packages/core/agent/src/types.ts:280`](../../packages/core/agent/src/types.ts)
### `agent/pre-step` — serial
@@ -121,7 +142,7 @@ Awaited serial checkpoint before `step/start`; appends land outside the pending
Types: [Agent](../core-data-structures/core.md) · [Scoped](../core-data-structures/scope.md)
Source: [`packages/core/agent/src/types.ts:207`](../../packages/core/agent/src/types.ts)
Source: [`packages/core/agent/src/types.ts:220`](../../packages/core/agent/src/types.ts)
### `agent/prompt-submit` — waterfall
@@ -142,7 +163,7 @@ Allow, rewrite, or block one claimed prompt before it becomes a user message. Ca
Types: [Agent](../core-data-structures/core.md) · [ContentBlock](../core-data-structures/core.md) · [MessageSource](../core-data-structures/core.md) · [PromptDecision](../core-data-structures/core.md) · [Scoped](../core-data-structures/scope.md)
Source: [`packages/core/agent/src/types.ts:217`](../../packages/core/agent/src/types.ts)
Source: [`packages/core/agent/src/types.ts:230`](../../packages/core/agent/src/types.ts)
### `agent/queued` — emit
@@ -163,7 +184,7 @@ Detached, frozen content entered the agent's inbox. Source defaults have already
Types: [Agent](../core-data-structures/core.md) · [ContentBlock](../core-data-structures/core.md) · [MessageSource](../core-data-structures/core.md) · [Scoped](../core-data-structures/scope.md)
Source: [`packages/core/agent/src/types.ts:178`](../../packages/core/agent/src/types.ts)
Source: [`packages/core/agent/src/types.ts:181`](../../packages/core/agent/src/types.ts)
### `agent/request` — waterfall
@@ -186,7 +207,7 @@ Replace the frozen call configuration. Model-visible content must use logged cha
Types: [Agent](../core-data-structures/core.md) · [LlmCallConfig](../core-data-structures/core.md) · [Scoped](../core-data-structures/scope.md)
Source: [`packages/core/agent/src/types.ts:229`](../../packages/core/agent/src/types.ts)
Source: [`packages/core/agent/src/types.ts:242`](../../packages/core/agent/src/types.ts)
### `agent/request-error` — waterfall
@@ -212,7 +233,7 @@ Recover a model-request failure after its failed step has closed. `retry` opens
Types: [Agent](../core-data-structures/core.md) · [LlmFailure](../core-data-structures/llm-streaming.md) · [RequestError](../core-data-structures/core.md) · [RequestErrorDecision](../core-data-structures/core.md) · [Scoped](../core-data-structures/scope.md)
Source: [`packages/core/agent/src/types.ts:282`](../../packages/core/agent/src/types.ts)
Source: [`packages/core/agent/src/types.ts:295`](../../packages/core/agent/src/types.ts)
### `agent/session-prefix` — waterfall
@@ -238,7 +259,7 @@ Compose request-only messages placed before derived history. The frozen result i
Types: [Agent](../core-data-structures/core.md) · [Message](../core-data-structures/core.md) · [Scoped](../core-data-structures/scope.md)
Source: [`packages/core/agent/src/types.ts:244`](../../packages/core/agent/src/types.ts)
Source: [`packages/core/agent/src/types.ts:257`](../../packages/core/agent/src/types.ts)
### `agent/session-start` — emit
@@ -260,7 +281,7 @@ The session lifecycle began, once before the first turn. Use `agent.inject()` to
Types: [Agent](../core-data-structures/core.md) · [Scoped](../core-data-structures/scope.md) · [SessionStartSource](../core-data-structures/core.md)
Source: [`packages/core/agent/src/types.ts:191`](../../packages/core/agent/src/types.ts)
Source: [`packages/core/agent/src/types.ts:204`](../../packages/core/agent/src/types.ts)
### `agent/status` — emit
@@ -280,7 +301,7 @@ Agent status changed (`idle` ⇄ `running`, or → `disposed`). `send()` does no
Types: [Agent](../core-data-structures/core.md) · [AgentStatus](../core-data-structures/core.md) · [Scoped](../core-data-structures/scope.md)
Source: [`packages/core/agent/src/types.ts:168`](../../packages/core/agent/src/types.ts)
Source: [`packages/core/agent/src/types.ts:171`](../../packages/core/agent/src/types.ts)
### `agent/step-result` — waterfall
@@ -302,7 +323,7 @@ Waterfall: post-process the assembled assistant Message before tool dispatch (va
Types: [Agent](../core-data-structures/core.md) · [Message](../core-data-structures/core.md) · [Scoped](../core-data-structures/scope.md)
Source: [`packages/core/agent/src/types.ts:255`](../../packages/core/agent/src/types.ts)
Source: [`packages/core/agent/src/types.ts:268`](../../packages/core/agent/src/types.ts)
### `agent/turn-continuation` — waterfall
@@ -323,7 +344,7 @@ Override whether the turn continues. The default continues after tool calls or s
Types: [Agent](../core-data-structures/core.md) · [ContinuationDecision](../core-data-structures/core.md) · [Scoped](../core-data-structures/scope.md)
Source: [`packages/core/agent/src/types.ts:292`](../../packages/core/agent/src/types.ts)
Source: [`packages/core/agent/src/types.ts:305`](../../packages/core/agent/src/types.ts)
### `agent/turn-stop` — serial
@@ -344,7 +365,7 @@ Monotonic terminal-stop checkpoint after continuation and steering are folded; a
Types: [Agent](../core-data-structures/core.md) · [ContinuationStop](../core-data-structures/core.md) · [Scoped](../core-data-structures/scope.md)
Source: [`packages/core/agent/src/types.ts:302`](../../packages/core/agent/src/types.ts)
Source: [`packages/core/agent/src/types.ts:315`](../../packages/core/agent/src/types.ts)
## `agent-loop/*`
@@ -390,6 +411,24 @@ Types: [ApprovalOutcome](../core-data-structures/approval.md) · [ApprovalReques
Source: [`packages/ui/user-approval/src/index.ts:31`](../../packages/ui/user-approval/src/index.ts)
## `commands/*`
### `commands/change` — emit
A command was registered or unregistered. This is an unfiltered registry notification because a global or scoped change may affect any UI view. Observer failures are contained and cannot veto the registry mutation.
```ts cordis-catalog
/**
* A command was registered or unregistered. This is an unfiltered registry
* notification because a global or scoped change may affect any UI view.
* Observer failures are contained and cannot veto the registry mutation.
* @mode emit
*/
'commands/change'(): void
```
Source: [`packages/ui/commands/src/index.ts:83`](../../packages/ui/commands/src/index.ts)
## `fs/*`
### `fs/edit-intent` — waterfall
@@ -451,6 +490,29 @@ Types: [FsTarget](../core-data-structures/filesystem.md) · [FsWriteIntent](../c
Source: [`packages/fs/fs/src/index.ts:54`](../../packages/fs/fs/src/index.ts)
## `goal/*`
### `goal/changed` — emit
Goal mutation accepted by one live agent. The matching context event is already appended or queued in that agent's active tool-batch FIFO. Listener failures are contained. Scope-filtered dispatch (`@deepseek-ai/dsh-scope`): agent-scoped listeners receive only that agent.
```ts cordis-catalog
/**
* Goal mutation accepted by one live agent. The matching context event is
* already appended or queued in that agent's active tool-batch FIFO.
* Listener failures are contained.
* Scope-filtered dispatch (`@deepseek-ai/dsh-scope`): agent-scoped listeners receive only that agent.
* @param agent - agent whose session owns the goal.
* @param change - fresh current projection or clear tombstone.
* @mode emit
*/
'goal/changed'(this: import('@deepseek-ai/dsh-scope').Scoped<Agent>, agent: Agent, change: GoalChanged): void
```
Types: [Agent](../core-data-structures/core.md) · [GoalChanged](../core-data-structures/goal.md) · [Scoped](../core-data-structures/scope.md)
Source: [`packages/goal/goal/src/types.ts:167`](../../packages/goal/goal/src/types.ts)
## `llm/*`
### `llm/stream` — waterfall
+128
View File
@@ -340,6 +340,47 @@ Types: [CodeRunRequest](../core-data-structures/code-runtime.md) · [CodeRunResu
Source: [`packages/code-runtime/code-runtime/src/index.ts:30`](../../packages/code-runtime/code-runtime/src/index.ts)
## `ctx.commands` — `CommandService`
Human-command registry. Plain-context definitions are global; definitions registered through a command-injected child of an agent context shadow globals for that agent.
```ts cordis-catalog
/**
* Register a global or calling-agent-scoped command.
* @param definition - discovery metadata and direct UI handler.
* @returns the exact effect disposer that unregisters this definition.
*/
register(definition: CommandDefinition): () => void
/**
* List the effective immutable command descriptors for one agent.
* @param agent - exact receiving agent and scoped-layer key.
* @returns name-sorted descriptors after scoped shadowing.
*/
list(agent: Agent): readonly CommandDescriptor[]
/**
* Resolve one effective command definition.
* @param agent - exact receiving agent and scoped-layer key.
* @param name - command name without a slash.
* @returns the scoped shadow or global definition.
*/
find(agent: Agent, name: string): CommandDefinition | undefined
/**
* Parse and execute a known command without sending it to the model.
* @param agent - exact receiving agent.
* @param line - complete slash-command line.
* @param signal - cancellation signal owned by the UI request.
* @returns a detached result, or `undefined` when syntax or name does not resolve.
*/
async execute( agent: Agent, line: string, signal: AbortSignal, ): Promise<CommandResult | undefined>
```
Types: [Agent](../core-data-structures/core.md) · [CommandDefinition](../core-data-structures/commands.md) · [CommandDescriptor](../core-data-structures/commands.md) · [CommandResult](../core-data-structures/commands.md)
Source: [`packages/ui/commands/src/index.ts:207`](../../packages/ui/commands/src/index.ts)
## `ctx.compact` — `CompactService` (abstract seam)
Abstract compaction service. Implementations own trigger policy, retention, and summarization, and may consume a separate measurement service. A successful run replaces the selected surface span with one summary node and prevents concurrent compaction of the same session. Load one implementation per context as `ctx.compact`.
@@ -485,6 +526,93 @@ Types: [FsDirEntry](../core-data-structures/filesystem.md) · [FsEditOutcome](..
Source: [`packages/fs/fs/src/index.ts:81`](../../packages/fs/fs/src/index.ts)
## `ctx.goals` — `GoalService`
Goal service (`ctx.goals`) backed exclusively by the owning session log.
```ts cordis-catalog
/**
* Read the current goal for one exact live agent.
* @param agent - owning live agent.
* @returns a fresh view or `undefined` when no goal is current.
* @throws {@link GoalError} when the agent is not the registry's live instance.
*/
get(agent: Agent): GoalView | undefined
/**
* Remove process-local continuation authority without changing durable goal
* phase or revision. Lifecycle owners use this before unloading a driver;
* a later human-authorized {@link resume} records the new activation edge.
* @param agent - owning live agent.
* @returns a fresh disarmed view, or `undefined` when no goal is current.
*/
disarm(agent: Agent): GoalView | undefined
/**
* Create and arm a goal. A completed goal may be replaced; every other
* current phase must be cleared or resumed instead.
* @param agent - owning live agent.
* @param request - objective and optional round cap.
* @returns the created live view.
*/
create(agent: Agent, request: CreateGoalRequest): GoalView
/**
* Edit objective and/or round cap without changing phase.
* @param agent - owning live agent.
* @param ref - expected current revision.
* @param request - at least one replacement field.
* @returns the edited view.
*/
edit(agent: Agent, ref: GoalRef, request: EditGoalRequest): GoalView
/**
* Pause an active goal and disarm automatic continuation.
* @param agent - owning live agent.
* @param ref - expected current revision.
* @returns the paused view.
*/
pause(agent: Agent, ref: GoalRef): GoalView
/**
* Resume and arm a stopped goal, or rearm an active goal after a
* session-start edge, while its round budget still has capacity.
* @param agent - owning live agent.
* @param ref - expected current revision.
* @returns the active view.
*/
resume(agent: Agent, ref: GoalRef): GoalView
/**
* Mark a current non-complete goal complete and disarm it.
* @param agent - owning live agent.
* @param ref - expected current revision.
* @returns the completed view.
*/
complete(agent: Agent, ref: GoalRef): GoalView
/**
* Mark an active goal blocked and disarm it.
* @param agent - owning live agent.
* @param ref - expected current revision.
* @param reason - policy-owned stable code and human-readable explanation.
* @returns the blocked view with its durable reason.
*/
block(agent: Agent, ref: GoalRef, reason: GoalBlockReason): GoalView
/**
* Clear the current goal while retaining a durable tombstone and history.
* @param agent - owning live agent.
* @param ref - expected current revision.
* @returns the tombstone ref whose revision is one past the cleared snapshot.
*/
clear(agent: Agent, ref: GoalRef): GoalRef
```
Types: [Agent](../core-data-structures/core.md) · [CreateGoalRequest](../core-data-structures/goal.md) · [EditGoalRequest](../core-data-structures/goal.md) · [GoalBlockReason](../core-data-structures/goal.md) · [GoalRef](../core-data-structures/goal.md) · [GoalView](../core-data-structures/goal.md)
Source: [`packages/goal/goal/src/index.ts:135`](../../packages/goal/goal/src/index.ts)
## `ctx.llm` — `LlmService`
The abstract `llm` service: an adapter registry plus a streaming model-call surface, interceptable via the `llm/stream` waterfall.
+84
View File
@@ -0,0 +1,84 @@
# Human Commands
The human-command seam of [`dsh-commands`](../../packages/ui/commands). TUI and ACP adapters use it to discover and directly execute plugin-owned commands for an exact agent without creating a model message. The [command Agent Note](../../.agents/notes/implemented/feature/2026-07-19-plugin-command-registration.md) owns dispatch and lifecycle rationale; the [package README](../../packages/ui/commands/README.md) owns composition and limitations.
Source: [`packages/ui/commands/src/index.ts`](../../packages/ui/commands/src/index.ts)
## Input metadata
ACP currently exposes one unstructured-input hint. Command availability follows plugin composition: every adapter consuming the registry sees every effective definition.
```ts type-equiv
/** Immutable command input metadata compatible with ACP unstructured input. */
interface CommandInputDescriptor {
/** Placeholder shown before the user supplies free-form input. */
readonly hint: string
}
```
## Definition
`CommandDefinition` is the plugin-authored registration. The registry validates and freezes a detached effective definition.
```ts type-equiv
/** Plugin-owned command registration. */
interface CommandDefinition {
/** Lowercase command name without the leading slash. */
readonly name: string
/** Human-readable summary used in discovery UI. */
readonly description: string
/** Optional free-form input hint advertised to capable clients. */
readonly input?: CommandInputDescriptor
/** Execute against the receiving agent without sending the command to the model. */
readonly handler: (invocation: CommandInvocation) => CommandResult | Promise<CommandResult>
}
```
## Invocation and result
The adapter owns cancellation and passes the exact target agent. `rawInput` begins immediately after the parsed name and retains the adapter-delivered separator and suffix. Results are direct UI outcomes, not tool results or session events.
```ts type-equiv
/** Invocation passed to one registered command handler. */
interface CommandInvocation {
/** Exact agent whose human-facing surface received the command. */
readonly agent: Agent
/** Exact text following the registered command name, including separator whitespace. */
readonly rawInput: string
/** Cancellation signal owned by the dispatching UI request. */
readonly signal: AbortSignal
}
```
```ts type-equiv
/** Expected command outcome rendered directly by the dispatching UI. */
type CommandResult =
| { readonly kind: 'success'; readonly text?: string }
| { readonly kind: 'error'; readonly text: string }
```
## Discovery and parsing views
Adapters receive handler-free immutable descriptors after scope resolution. `parseCommand()` returns `ParsedCommand` before registry resolution; syntax-valid input can still name an unavailable command.
```ts type-equiv
/** Handler-free immutable command view returned to UI adapters. */
interface CommandDescriptor {
/** Lowercase command name without the leading slash. */
readonly name: string
/** Human-readable summary used in discovery UI. */
readonly description: string
/** Optional free-form input hint advertised to capable clients. */
readonly input?: CommandInputDescriptor
}
```
```ts type-equiv
/** Syntactically valid slash command before registry resolution. */
interface ParsedCommand {
/** Lowercase command name without the leading slash. */
readonly name: string
/** Exact text following the command name. */
readonly rawInput: string
}
```
+6 -4
View File
@@ -18,6 +18,8 @@ Everything else is documented on a **sub-page**, not here. The rule that draws t
| [llm-streaming.md](llm-streaming.md) | the `StreamChunk` wire protocol + adapter contract, `BlockAssembler`, the `LlmAdapter` seam |
| [token-meter.md](token-meter.md) | immutable scalar and positional replay measurements with consumed-log revisions |
| [scope.md](scope.md) | scoped registration identity, dispatch carriers, and the owned `Scope` context |
| [goal.md](goal.md) | persisted goal identity, lifecycle snapshots, activation, change records, and round attribution |
| [commands.md](commands.md) | the human-command seam: definitions, adapter discovery, direct invocation, results, and parsing views |
| [session.md](session.md) | the full `SessionEventMap` variant catalog, `TurnTrigger`/`TurnEndReason`, `deriveMessages()`, the turn-enclosure invariant |
| [persistence.md](persistence.md) | the durability seam: `SessionPersistence`, JSONL + SQLite backends, `session/flush`, crash recovery, `SessionHeader` |
| [session-query.md](session-query.md) | logical records, bounded exact-event reads, and relationship traces |
@@ -388,10 +390,10 @@ interface Agent {
/**
* Clear all queued and steering work, including items waiting to start, and
* abort the active step. The supplied reason is preserved across pre-step
* and active cancellation windows, and `whenIdle()` resolves after
* cancellation reaches quiescence. Idle cancellation is a no-op and does not
* arm a later cancel.
* abort the active step. An effective call first emits `agent/cancel-requested`
* with the resolved reason. That reason is preserved across pre-step and active
* cancellation windows, and `whenIdle()` resolves after cancellation reaches
* quiescence. Idle cancellation is a no-op and does not arm a later cancel.
*/
cancel(reason?: string): void
+143
View File
@@ -0,0 +1,143 @@
# Same-session goals
Types shared by the event-sourced goal domain and its policy consumers. The [goal-domain Agent Note](../../.agents/notes/implemented/feature/2026-07-19-persisted-same-session-goal-domain.md) owns the persistence and activation decisions; this page records the literal shapes from [`packages/goal/goal/src/types.ts`](../../packages/goal/goal/src/types.ts).
## Identity and lifecycle
`GoalId` is a [branded id](core.md#branded-ids). A caller mutates one exact revision through `GoalRef`; every accepted durable mutation increments the revision.
```ts type-equiv
/** Compare-and-set identity for one exact goal revision. */
interface GoalRef {
/** Stable goal identity. */
readonly id: GoalId
/** Positive revision; every durable mutation increments it. */
readonly revision: number
}
```
The durable phase answers what happened to the objective. Process-local activation separately answers whether a continuation consumer may start another round.
```ts type-equiv
/** Durable continuation phase. Activation is process-local and separate. */
type GoalPhase =
| 'active'
| 'paused'
| 'blocked'
| 'complete'
```
Blocking is the single durable stopped-by-a-problem state. Its policy-owned reason carries a stable lower-kebab-case code for routing and a free-form explanation for humans and models.
```ts type-equiv
/** Machine-routable and human-readable explanation for a blocked goal. */
interface GoalBlockReason {
/** Stable lower-kebab-case classification chosen by the blocking policy. */
readonly code: string
/** Non-empty explanation shown to humans and models. */
readonly message: string
}
```
```ts type-equiv
/** Full durable state written by every non-clear goal mutation. */
interface GoalSnapshot extends GoalRef {
/** Human-requested completion objective. */
readonly objective: string
/** Durable lifecycle phase. */
readonly phase: GoalPhase
/** Present exactly while `phase` is `blocked`. */
readonly blockedReason?: GoalBlockReason
/** Total admitted goal-round cap. */
readonly maxGoalRounds: number
}
```
```ts type-equiv
/** Current goal projection, including values derived from the session log. */
interface GoalView extends GoalSnapshot {
/** Highest admitted round number for this goal. */
readonly roundsStarted: number
/** Epoch milliseconds of the create mutation. */
readonly createdAt: number
/** Epoch milliseconds of the latest mutation. */
readonly updatedAt: number
/** Process-local continuation eligibility; never persisted. */
readonly activation: GoalActivation
}
```
## Durable changes
Every mutation is a `context/message` whose metadata is either a complete snapshot or a clear tombstone. The version, metadata, goal source, and verbatim rendered content form one replay invariant.
```ts type-equiv
/** Full-snapshot goal mutation retained in a model-visible context event. */
interface GoalSnapshotChangeMeta {
readonly kind: 'goal/change'
readonly version: 1
readonly operation: Exclude<GoalOperation, 'clear'>
readonly goal: GoalSnapshot
readonly roundsStarted: number
readonly createdAt: number
readonly updatedAt: number
}
```
```ts type-equiv
/** Tombstone retained when the current goal is cleared. */
interface GoalClearChangeMeta {
readonly kind: 'goal/change'
readonly version: 1
readonly operation: 'clear'
readonly cleared: GoalRef
readonly clearedAt: number
}
```
Goal state changes use round `0`. A continuation consumer attributes each admitted user-message turn with a positive, sequential round number and the current revision; replay rejects gaps, stale revisions, stopped phases, and cap overflow.
```ts type-equiv
/** Message attribution for durable goal state and continuation rounds. */
interface GoalMessageSource {
readonly kind: 'goal'
readonly goalId: GoalId
readonly revision: number
/** Zero for state changes; positive for admitted continuation rounds. */
readonly round: number
}
```
## Requests and notifications
Creation separates caller omission from the deployment choice, which `create()` resolves internally. An edit is a partial replacement whose runtime validator requires at least one field. Every mutation notification carries the accepted operation and exact revision; clear omits `goal`.
```ts type-equiv
/** Input whose omitted round cap is resolved by the service configuration. */
interface CreateGoalRequest {
readonly objective: string
readonly maxGoalRounds?: number
}
```
```ts type-equiv
/** Fields changed by an edit; at least one must be present. */
interface EditGoalRequest {
readonly objective?: string
readonly maxGoalRounds?: number
}
```
```ts type-equiv
/** Live notification after one goal mutation has been accepted for logging. */
interface GoalChanged {
readonly operation: GoalOperation
readonly ref: GoalRef
/** Absent for a clear tombstone. */
readonly goal?: GoalView
}
```
## Service behavior
[`GoalService`](../../packages/goal/goal/src/index.ts) resolves creation defaults, folds strict replay, enforces exact-live-agent identity and compare-and-set mutations, overlays deferred injections, and emits contained `goal/changed` notifications. The package [README](../../packages/goal/goal/README.md) owns the callable and model-visible contract.
+19 -16
View File
@@ -8,29 +8,32 @@ This matrix shows which packages dispatch each harness-owned event and which pac
| Event | Mode | Declared in | Dispatchers | Listeners |
| --- | --- | --- | --- | --- |
| `agent-loop/config-start-failed` | `emit` | [`packages/core/agent-loop/src/index.ts:353`](../packages/core/agent-loop/src/index.ts) | [`agent-loop`](../packages/core/agent-loop) (`events.dispatch`) | [`tui`](../packages/ui/tui) |
| `agent/created` | `emit` | [`packages/core/agent/src/types.ts:150`](../packages/core/agent/src/types.ts) | [`agent`](../packages/core/agent) (`events.dispatch`) | [`tui`](../packages/ui/tui) |
| `agent/disposed` | `emit` | [`packages/core/agent/src/types.ts:159`](../packages/core/agent/src/types.ts) | [`agent`](../packages/core/agent) (`events.dispatch`) | [`agent-loop`](../packages/core/agent-loop), [`tui`](../packages/ui/tui) |
| `agent/error` | `emit` | [`packages/core/agent/src/types.ts:315`](../packages/core/agent/src/types.ts) | [`agent-loop`](../packages/core/agent-loop) (`emit`) | [`tui`](../packages/ui/tui) |
| `agent/post-step` | `serial` | [`packages/core/agent/src/types.ts:267`](../packages/core/agent/src/types.ts) | [`agent-loop`](../packages/core/agent-loop) (`serial`) | [`compact-basic`](../packages/compact/compact-basic) |
| `agent/pre-step` | `serial` | [`packages/core/agent/src/types.ts:207`](../packages/core/agent/src/types.ts) | [`agent-loop`](../packages/core/agent-loop) (`serial`) | [`time-context`](../packages/context/time-context), [`user-approval`](../packages/ui/user-approval) |
| `agent/prompt-submit` | `waterfall` | [`packages/core/agent/src/types.ts:217`](../packages/core/agent/src/types.ts) | [`agent-loop`](../packages/core/agent-loop) (`waterfall`) | [`acp`](../packages/ui/acp), [`hooks-claude`](../packages/hooks/hooks-claude), [`hooks-codex`](../packages/hooks/hooks-codex), [`repeat-tool-guard`](../packages/guard/repeat-tool-guard) |
| `agent/queued` | `emit` | [`packages/core/agent/src/types.ts:178`](../packages/core/agent/src/types.ts) | [`agent-loop`](../packages/core/agent-loop) (`emit`) | - |
| `agent/request` | `waterfall` | [`packages/core/agent/src/types.ts:229`](../packages/core/agent/src/types.ts) | [`agent-loop`](../packages/core/agent-loop) (`waterfall`) | [`acp`](../packages/ui/acp) |
| `agent/request-error` | `waterfall` | [`packages/core/agent/src/types.ts:282`](../packages/core/agent/src/types.ts) | [`agent-loop`](../packages/core/agent-loop) (`waterfall`) | [`compact-basic`](../packages/compact/compact-basic), [`llm-retry`](../packages/llm/llm-retry) |
| `agent/session-prefix` | `waterfall` | [`packages/core/agent/src/types.ts:244`](../packages/core/agent/src/types.ts) | [`agent-loop`](../packages/core/agent-loop) (`waterfall`) | [`tool-skill`](../packages/skill/tool-skill), [`workspace-context`](../packages/context/workspace-context) |
| `agent/session-start` | `emit` | [`packages/core/agent/src/types.ts:191`](../packages/core/agent/src/types.ts) | [`agent-loop`](../packages/core/agent-loop) (`emit`) | [`hooks-claude`](../packages/hooks/hooks-claude), [`hooks-codex`](../packages/hooks/hooks-codex) |
| `agent/status` | `emit` | [`packages/core/agent/src/types.ts:168`](../packages/core/agent/src/types.ts) | [`agent-loop`](../packages/core/agent-loop) (`emit`) | [`invariants`](../packages/support/invariants), [`tui`](../packages/ui/tui) |
| `agent/step-result` | `waterfall` | [`packages/core/agent/src/types.ts:255`](../packages/core/agent/src/types.ts) | [`agent-loop`](../packages/core/agent-loop) (`waterfall`) | - |
| `agent/turn-continuation` | `waterfall` | [`packages/core/agent/src/types.ts:292`](../packages/core/agent/src/types.ts) | [`agent-loop`](../packages/core/agent-loop) (`waterfall`) | [`hooks-claude`](../packages/hooks/hooks-claude), [`hooks-codex`](../packages/hooks/hooks-codex) |
| `agent/turn-stop` | `serial` | [`packages/core/agent/src/types.ts:302`](../packages/core/agent/src/types.ts) | [`agent-loop`](../packages/core/agent-loop) (`serial`) | [`subagent-inprocess`](../packages/subagent/subagent-inprocess) |
| `agent/cancel-requested` | `emit` | [`packages/core/agent/src/types.ts:191`](../packages/core/agent/src/types.ts) | [`agent-loop`](../packages/core/agent-loop) (`emit`) | [`goal-session`](../packages/goal/goal-session) |
| `agent/created` | `emit` | [`packages/core/agent/src/types.ts:153`](../packages/core/agent/src/types.ts) | [`agent`](../packages/core/agent) (`events.dispatch`) | [`goal-session`](../packages/goal/goal-session), [`tui`](../packages/ui/tui) |
| `agent/disposed` | `emit` | [`packages/core/agent/src/types.ts:162`](../packages/core/agent/src/types.ts) | [`agent`](../packages/core/agent) (`events.dispatch`) | [`agent-loop`](../packages/core/agent-loop), [`goal-session`](../packages/goal/goal-session), [`tui`](../packages/ui/tui) |
| `agent/error` | `emit` | [`packages/core/agent/src/types.ts:328`](../packages/core/agent/src/types.ts) | [`agent-loop`](../packages/core/agent-loop) (`emit`) | [`goal-session`](../packages/goal/goal-session), [`tui`](../packages/ui/tui) |
| `agent/post-step` | `serial` | [`packages/core/agent/src/types.ts:280`](../packages/core/agent/src/types.ts) | [`agent-loop`](../packages/core/agent-loop) (`serial`) | [`compact-basic`](../packages/compact/compact-basic) |
| `agent/pre-step` | `serial` | [`packages/core/agent/src/types.ts:220`](../packages/core/agent/src/types.ts) | [`agent-loop`](../packages/core/agent-loop) (`serial`) | [`time-context`](../packages/context/time-context), [`user-approval`](../packages/ui/user-approval) |
| `agent/prompt-submit` | `waterfall` | [`packages/core/agent/src/types.ts:230`](../packages/core/agent/src/types.ts) | [`agent-loop`](../packages/core/agent-loop) (`waterfall`) | [`acp`](../packages/ui/acp), [`goal-session`](../packages/goal/goal-session), [`hooks-claude`](../packages/hooks/hooks-claude), [`hooks-codex`](../packages/hooks/hooks-codex), [`repeat-tool-guard`](../packages/guard/repeat-tool-guard) |
| `agent/queued` | `emit` | [`packages/core/agent/src/types.ts:181`](../packages/core/agent/src/types.ts) | [`agent-loop`](../packages/core/agent-loop) (`emit`) | [`goal-session`](../packages/goal/goal-session) |
| `agent/request` | `waterfall` | [`packages/core/agent/src/types.ts:242`](../packages/core/agent/src/types.ts) | [`agent-loop`](../packages/core/agent-loop) (`waterfall`) | [`acp`](../packages/ui/acp) |
| `agent/request-error` | `waterfall` | [`packages/core/agent/src/types.ts:295`](../packages/core/agent/src/types.ts) | [`agent-loop`](../packages/core/agent-loop) (`waterfall`) | [`compact-basic`](../packages/compact/compact-basic), [`llm-retry`](../packages/llm/llm-retry) |
| `agent/session-prefix` | `waterfall` | [`packages/core/agent/src/types.ts:257`](../packages/core/agent/src/types.ts) | [`agent-loop`](../packages/core/agent-loop) (`waterfall`) | [`tool-skill`](../packages/skill/tool-skill), [`workspace-context`](../packages/context/workspace-context) |
| `agent/session-start` | `emit` | [`packages/core/agent/src/types.ts:204`](../packages/core/agent/src/types.ts) | [`agent-loop`](../packages/core/agent-loop) (`emit`) | [`goal`](../packages/goal/goal), [`goal-session`](../packages/goal/goal-session), [`hooks-claude`](../packages/hooks/hooks-claude), [`hooks-codex`](../packages/hooks/hooks-codex) |
| `agent/status` | `emit` | [`packages/core/agent/src/types.ts:171`](../packages/core/agent/src/types.ts) | [`agent-loop`](../packages/core/agent-loop) (`emit`) | [`goal-session`](../packages/goal/goal-session), [`invariants`](../packages/support/invariants), [`tui`](../packages/ui/tui) |
| `agent/step-result` | `waterfall` | [`packages/core/agent/src/types.ts:268`](../packages/core/agent/src/types.ts) | [`agent-loop`](../packages/core/agent-loop) (`waterfall`) | - |
| `agent/turn-continuation` | `waterfall` | [`packages/core/agent/src/types.ts:305`](../packages/core/agent/src/types.ts) | [`agent-loop`](../packages/core/agent-loop) (`waterfall`) | [`hooks-claude`](../packages/hooks/hooks-claude), [`hooks-codex`](../packages/hooks/hooks-codex) |
| `agent/turn-stop` | `serial` | [`packages/core/agent/src/types.ts:315`](../packages/core/agent/src/types.ts) | [`agent-loop`](../packages/core/agent-loop) (`serial`) | [`subagent-inprocess`](../packages/subagent/subagent-inprocess), [`tool-goal`](../packages/goal/tool-goal) |
| `approval/request` | `waterfall` | [`packages/ui/user-approval/src/index.ts:31`](../packages/ui/user-approval/src/index.ts) | [`user-approval`](../packages/ui/user-approval) (`waterfall`) | [`acp`](../packages/ui/acp) |
| `commands/change` | `emit` | [`packages/ui/commands/src/index.ts:83`](../packages/ui/commands/src/index.ts) | [`commands`](../packages/ui/commands) (`events.dispatch`) | [`acp`](../packages/ui/acp), [`tui`](../packages/ui/tui) |
| `fs/edit-intent` | `waterfall` | [`packages/fs/fs/src/index.ts:62`](../packages/fs/fs/src/index.ts) | [`tool-fs`](../packages/fs/tool-fs) (`waterfall`) | [`fs-policy`](../packages/fs/fs-policy) |
| `fs/observed` | `emit` | [`packages/fs/fs/src/index.ts:71`](../packages/fs/fs/src/index.ts) | [`tool-fs`](../packages/fs/tool-fs) (`emit`) | [`fs-policy`](../packages/fs/fs-policy) |
| `fs/write-intent` | `waterfall` | [`packages/fs/fs/src/index.ts:54`](../packages/fs/fs/src/index.ts) | [`tool-fs`](../packages/fs/tool-fs) (`waterfall`) | [`fs-policy`](../packages/fs/fs-policy) |
| `goal/changed` | `emit` | [`packages/goal/goal/src/types.ts:167`](../packages/goal/goal/src/types.ts) | [`goal`](../packages/goal/goal) (`emit`) | [`goal-session`](../packages/goal/goal-session) |
| `llm/stream` | `waterfall` | [`packages/llm/llm/src/index.ts:44`](../packages/llm/llm/src/index.ts) | [`llm`](../packages/llm/llm) (`waterfall`) | [`invariants`](../packages/support/invariants), [`llm-replay`](../packages/support/llm-replay) |
| `session/created` | `emit` | [`packages/core/session/src/index.ts:47`](../packages/core/session/src/index.ts) | [`session`](../packages/core/session) (`events.dispatch`) | [`invariants`](../packages/support/invariants), [`jsonrpc`](../packages/ui/jsonrpc), [`session-persistence`](../packages/session-persistence/session-persistence) |
| `session/disposed` | `emit` | [`packages/core/session/src/index.ts:57`](../packages/core/session/src/index.ts) | [`session`](../packages/core/session) (`events.dispatch`) | [`agent-loop`](../packages/core/agent-loop), [`session-persistence`](../packages/session-persistence/session-persistence) |
| `session/event` | `emit` | [`packages/core/session/src/index.ts:69`](../packages/core/session/src/index.ts) | [`session`](../packages/core/session) (`events.dispatch`) | [`acp`](../packages/ui/acp), [`cli-demo`](../packages/examples/cli-demo), [`invariants`](../packages/support/invariants), [`jsonrpc`](../packages/ui/jsonrpc), [`session-persistence`](../packages/session-persistence/session-persistence), [`token-meter`](../packages/llm/token-meter), [`tui`](../packages/ui/tui), [`workspace-context`](../packages/context/workspace-context) |
| `session/event` | `emit` | [`packages/core/session/src/index.ts:69`](../packages/core/session/src/index.ts) | [`session`](../packages/core/session) (`events.dispatch`) | [`acp`](../packages/ui/acp), [`cli-demo`](../packages/examples/cli-demo), [`goal-session`](../packages/goal/goal-session), [`invariants`](../packages/support/invariants), [`jsonrpc`](../packages/ui/jsonrpc), [`session-persistence`](../packages/session-persistence/session-persistence), [`token-meter`](../packages/llm/token-meter), [`tui`](../packages/ui/tui), [`workspace-context`](../packages/context/workspace-context) |
| `session/flush` | `parallel` | [`packages/core/session/src/index.ts:79`](../packages/core/session/src/index.ts) | [`session`](../packages/core/session) (`events.dispatch`) | [`session-persistence`](../packages/session-persistence/session-persistence) |
| `subagent/end` | `emit` | [`packages/subagent/subagent/src/index.ts:139`](../packages/subagent/subagent/src/index.ts) | [`subagent`](../packages/subagent/subagent) (`events.dispatch`) | [`hooks-claude`](../packages/hooks/hooks-claude), [`jsonrpc`](../packages/ui/jsonrpc) |
| `subagent/provider-added` | `emit` | [`packages/subagent/subagent/src/index.ts:113`](../packages/subagent/subagent/src/index.ts) | [`subagent`](../packages/subagent/subagent) (`emit`) | [`tool-subagent`](../packages/subagent/tool-subagent) |
+17
View File
@@ -15,3 +15,20 @@ FIXME(glossary-completeness): Expand this glossary before the first release so i
- **restriction / scope-local registration** — a restriction (`tools.restrict`) filters the GLOBAL tool surface for one scope (compose by intersection); scope-local registrations are merged after that filter. A filtered-away global tool is absent from the prompt AND refuses execution, indistinguishably from a nonexistent one.
- **setup window** — the creation slot where a creator composes an agent's scoped world (`CreateAgentOptions.setup`): after the scope and agent object exist but before the agent or session is published, `agent/session-start` fires, or the first prompt is assembled. Setup registers; it never drives the agent.
- **lineage** — parent/child facts carried as data (`parentSession`, durable `delegationDepth`, runtime `subagentDepth`); never affects visibility. <a id="lineage"></a>
## goal
- **goal** — one durable completion objective attached to an existing session, with a revisioned `active` / `paused` / `blocked` / `complete` phase and a goal-round cap; `blocked` retains a policy code and explanation. A goal is state, not a scheduler or a separate conversation; the session log remains its source of truth.
- **goal round** — one continuation cycle admitted for the current goal. The same-session driver materializes a goal round as one goal-sourced [turn](#turn), which can contain multiple steps; unrelated human turns in the same session do not consume the goal-round cap. <a id="goal-round"></a>
- **goal activation** — process-local permission for a continuation consumer to admit another goal round. Activation is either `armed` or `disarmed`; it is deliberately absent from durable replay, so resume and fork require a later explicit resume mutation before automatic work.
## human command
- **human command** — a slash-prefixed instruction interpreted and executed by a human-facing adapter through `ctx.commands`, without becoming a model message. It is distinct from a model-facing tool and from shell command execution through `ctx.bash`.
- **command plane** — discovery, parsing, dispatch, cancellation, and result rendering owned by UI adapters and command plugins. Command output is UI state unless the handler separately mutates a durable domain.
## loop hierarchy
- **turn** — one drain of admitted input in a session, ending after the model and its tools stop or a terminal policy intervenes. <a id="turn"></a>
- **step** — one model request plus the tool executions caused by its response; a turn contains one or more steps. <a id="step"></a>
- **round** — an outer policy iteration containing a turn, such as a [goal round](#goal-round). Round counters belong to that policy and do not count every turn in a session. <a id="round"></a>
+35 -4
View File
@@ -29,6 +29,11 @@ flowchart TD
pkg_system_prompt["system-prompt"]
pkg_tools["tools"]
end
subgraph group_goal["packages/goal"]
pkg_goal["goal"]
pkg_goal_session["goal-session"]
pkg_tool_goal["tool-goal"]
end
subgraph group_bash["packages/bash"]
pkg_bash["bash"]
pkg_bash_local["bash-local"]
@@ -107,6 +112,7 @@ flowchart TD
subgraph group_ui["packages/ui"]
pkg_acp["acp"]
pkg_app_boot["app-boot"]
pkg_commands["commands"]
pkg_jsonrpc["jsonrpc"]
pkg_permission["permission"]
pkg_tool_ask_user["tool-ask-user"]
@@ -204,6 +210,11 @@ flowchart TD
pkg_llm_retry --> pkg_llm
pkg_llm_retry --> pkg_session
pkg_llm_retry --> pkg_timeout
pkg_goal --> pkg_agent
pkg_goal --> pkg_brand
pkg_goal --> pkg_llm
pkg_goal --> pkg_scope
pkg_goal --> pkg_session
pkg_bash_local --> pkg_bash
pkg_bash_local --> pkg_timeout
pkg_fs_local --> pkg_fs
@@ -231,6 +242,8 @@ flowchart TD
pkg_invariants --> pkg_llm
pkg_invariants --> pkg_scope
pkg_invariants --> pkg_session
pkg_commands --> pkg_agent
pkg_commands --> pkg_scope
pkg_user_approval --> pkg_agent
pkg_user_approval --> pkg_brand
pkg_user_approval --> pkg_llm
@@ -255,6 +268,10 @@ flowchart TD
pkg_tools --> pkg_session
pkg_tools --> pkg_system_prompt
pkg_tools --> pkg_user_approval
pkg_goal_session --> pkg_agent
pkg_goal_session --> pkg_goal
pkg_goal_session --> pkg_llm
pkg_goal_session --> pkg_session
pkg_bash_sandbox --> pkg_bash
pkg_bash_sandbox --> pkg_bash_local
pkg_bash_sandbox --> pkg_sandbox
@@ -275,6 +292,12 @@ flowchart TD
pkg_agent_loop --> pkg_session_persistence
pkg_agent_loop --> pkg_system_prompt
pkg_agent_loop --> pkg_tools
pkg_tool_goal --> pkg_agent
pkg_tool_goal --> pkg_goal
pkg_tool_goal --> pkg_llm
pkg_tool_goal --> pkg_session
pkg_tool_goal --> pkg_system_prompt
pkg_tool_goal --> pkg_tools
pkg_tool_bash --> pkg_agent
pkg_tool_bash --> pkg_bash
pkg_tool_bash --> pkg_home
@@ -341,6 +364,7 @@ flowchart TD
pkg_agent_loop_testkit --> pkg_tools
pkg_acp --> pkg_agent
pkg_acp --> pkg_bash
pkg_acp --> pkg_commands
pkg_acp --> pkg_llm
pkg_acp --> pkg_llm_retry
pkg_acp --> pkg_permission
@@ -404,6 +428,7 @@ flowchart TD
pkg_jsonrpc --> pkg_subagent
pkg_tui --> pkg_agent
pkg_tui --> pkg_agent_loop
pkg_tui --> pkg_commands
pkg_tui --> pkg_llm
pkg_tui --> pkg_llm_retry
pkg_tui --> pkg_session
@@ -441,6 +466,7 @@ flowchart TD
pkg_acp_demo --> pkg_acp
pkg_acp_demo --> pkg_agent_spine_demo
pkg_acp_demo --> pkg_app_boot
pkg_acp_demo --> pkg_commands
pkg_acp_demo --> pkg_session_persistence_jsonl
pkg_acp_demo --> pkg_tools
pkg_acp_demo --> pkg_user_interaction
@@ -457,6 +483,7 @@ flowchart TD
pkg_tui_demo --> pkg_agent_loop
pkg_tui_demo --> pkg_agent_spine_demo
pkg_tui_demo --> pkg_app_boot
pkg_tui_demo --> pkg_commands
pkg_tui_demo --> pkg_llm
pkg_tui_demo --> pkg_session
pkg_tui_demo --> pkg_session_persistence_jsonl
@@ -509,6 +536,7 @@ flowchart TD
| [`sandbox-local`](../packages/sandbox/sandbox-local) | `sandbox` | [`llm`](../packages/llm/llm), [`sandbox`](../packages/sandbox/sandbox) |
| [`sandbox-policy`](../packages/sandbox/sandbox-policy) | `sandbox` | [`sandbox`](../packages/sandbox/sandbox), [`session`](../packages/core/session) |
| [`llm-retry`](../packages/llm/llm-retry) | `llm` | [`agent`](../packages/core/agent), [`llm`](../packages/llm/llm), [`session`](../packages/core/session), [`timeout`](../packages/util/timeout) |
| [`goal`](../packages/goal/goal) | `goal` | [`agent`](../packages/core/agent), [`brand`](../packages/util/brand), [`llm`](../packages/llm/llm), [`scope`](../packages/core/scope), [`session`](../packages/core/session) |
| [`bash-local`](../packages/bash/bash-local) | `bash` | [`bash`](../packages/bash/bash), [`timeout`](../packages/util/timeout) |
| [`fs-local`](../packages/fs/fs-local) | `fs` | [`fs`](../packages/fs/fs) |
| [`fs-policy`](../packages/fs/fs-policy) | `fs` | [`fs`](../packages/fs/fs) |
@@ -520,16 +548,19 @@ flowchart TD
| [`session-persistence-sqlite`](../packages/session-persistence/session-persistence-sqlite) | `session-persistence` | [`session`](../packages/core/session), [`session-persistence`](../packages/session-persistence/session-persistence) |
| [`session-query`](../packages/session-query/session-query) | `session-query` | [`llm`](../packages/llm/llm), [`session`](../packages/core/session), [`session-persistence`](../packages/session-persistence/session-persistence) |
| [`invariants`](../packages/support/invariants) | `support` | [`agent`](../packages/core/agent), [`llm`](../packages/llm/llm), [`scope`](../packages/core/scope), [`session`](../packages/core/session) |
| [`commands`](../packages/ui/commands) | `ui` | [`agent`](../packages/core/agent), [`scope`](../packages/core/scope) |
| [`user-approval`](../packages/ui/user-approval) | `ui` | [`agent`](../packages/core/agent), [`brand`](../packages/util/brand), [`llm`](../packages/llm/llm), [`scope`](../packages/core/scope), [`session`](../packages/core/session), [`system-prompt`](../packages/core/system-prompt) |
| [`user-interaction`](../packages/ui/user-interaction) | `ui` | [`agent`](../packages/core/agent), [`llm`](../packages/llm/llm) |
| [`time-context`](../packages/context/time-context) | `context` | [`agent`](../packages/core/agent) |
| [`tasks`](../packages/tasks/tasks) | `tasks` | [`agent`](../packages/core/agent), [`brand`](../packages/util/brand), [`session`](../packages/core/session), [`timeout`](../packages/util/timeout) |
| [`workflow`](../packages/workflow/workflow) | `workflow` | [`agent`](../packages/core/agent), [`brand`](../packages/util/brand), [`llm`](../packages/llm/llm), [`session`](../packages/core/session) |
| [`tools`](../packages/core/tools) | `core` | [`agent`](../packages/core/agent), [`code-runtime`](../packages/code-runtime/code-runtime), [`llm`](../packages/llm/llm), [`scope`](../packages/core/scope), [`session`](../packages/core/session), [`system-prompt`](../packages/core/system-prompt), [`user-approval`](../packages/ui/user-approval) |
| [`goal-session`](../packages/goal/goal-session) | `goal` | [`agent`](../packages/core/agent), [`goal`](../packages/goal/goal), [`llm`](../packages/llm/llm), [`session`](../packages/core/session) |
| [`bash-sandbox`](../packages/bash/bash-sandbox) | `bash` | [`bash`](../packages/bash/bash), [`bash-local`](../packages/bash/bash-local), [`sandbox`](../packages/sandbox/sandbox), [`sandbox-policy`](../packages/sandbox/sandbox-policy) |
| [`fs-sandbox`](../packages/fs/fs-sandbox) | `fs` | [`fs`](../packages/fs/fs), [`fs-local`](../packages/fs/fs-local), [`sandbox`](../packages/sandbox/sandbox), [`sandbox-policy`](../packages/sandbox/sandbox-policy) |
| [`permission`](../packages/ui/permission) | `ui` | [`bash`](../packages/bash/bash), [`sandbox`](../packages/sandbox/sandbox), [`sandbox-policy`](../packages/sandbox/sandbox-policy), [`session`](../packages/core/session), [`user-approval`](../packages/ui/user-approval) |
| [`agent-loop`](../packages/core/agent-loop) | `core` | [`agent`](../packages/core/agent), [`llm`](../packages/llm/llm), [`scope`](../packages/core/scope), [`session`](../packages/core/session), [`session-persistence`](../packages/session-persistence/session-persistence), [`system-prompt`](../packages/core/system-prompt), [`tools`](../packages/core/tools) |
| [`tool-goal`](../packages/goal/tool-goal) | `goal` | [`agent`](../packages/core/agent), [`goal`](../packages/goal/goal), [`llm`](../packages/llm/llm), [`session`](../packages/core/session), [`system-prompt`](../packages/core/system-prompt), [`tools`](../packages/core/tools) |
| [`tool-bash`](../packages/bash/tool-bash) | `bash` | [`agent`](../packages/core/agent), [`bash`](../packages/bash/bash), [`home`](../packages/util/home), [`llm`](../packages/llm/llm), [`sandbox`](../packages/sandbox/sandbox), [`sandbox-policy`](../packages/sandbox/sandbox-policy), [`session-persistence`](../packages/session-persistence/session-persistence), [`system-prompt`](../packages/core/system-prompt), [`tasks`](../packages/tasks/tasks), [`tools`](../packages/core/tools), [`user-approval`](../packages/ui/user-approval) |
| [`tool-fs`](../packages/fs/tool-fs) | `fs` | [`fs`](../packages/fs/fs), [`llm`](../packages/llm/llm), [`sandbox`](../packages/sandbox/sandbox), [`sandbox-policy`](../packages/sandbox/sandbox-policy), [`session`](../packages/core/session), [`system-prompt`](../packages/core/system-prompt), [`tools`](../packages/core/tools), [`user-approval`](../packages/ui/user-approval) |
| [`tool-fs-search`](../packages/fs/tool-fs-search) | `fs` | [`bash`](../packages/bash/bash), [`llm`](../packages/llm/llm), [`retention`](../packages/util/retention), [`session`](../packages/core/session), [`spill`](../packages/spill/spill), [`system-prompt`](../packages/core/system-prompt), [`tools`](../packages/core/tools) |
@@ -542,7 +573,7 @@ flowchart TD
| [`tool-cordis`](../packages/cordis/tool-cordis) | `cordis` | [`scope`](../packages/core/scope), [`tools`](../packages/core/tools) |
| [`hooks-codex`](../packages/hooks/hooks-codex) | `hooks` | [`agent`](../packages/core/agent), [`hook-protocol`](../packages/hooks/hook-protocol), [`llm`](../packages/llm/llm), [`session`](../packages/core/session), [`session-persistence`](../packages/session-persistence/session-persistence), [`tools`](../packages/core/tools) |
| [`agent-loop-testkit`](../packages/support/agent-loop-testkit) | `support` | [`agent`](../packages/core/agent), [`llm`](../packages/llm/llm), [`session`](../packages/core/session), [`system-prompt`](../packages/core/system-prompt), [`tools`](../packages/core/tools) |
| [`acp`](../packages/ui/acp) | `ui` | [`agent`](../packages/core/agent), [`bash`](../packages/bash/bash), [`llm`](../packages/llm/llm), [`llm-retry`](../packages/llm/llm-retry), [`permission`](../packages/ui/permission), [`sandbox`](../packages/sandbox/sandbox), [`session`](../packages/core/session), [`session-persistence`](../packages/session-persistence/session-persistence), [`system-prompt`](../packages/core/system-prompt), [`tools`](../packages/core/tools), [`user-approval`](../packages/ui/user-approval), [`user-interaction`](../packages/ui/user-interaction) |
| [`acp`](../packages/ui/acp) | `ui` | [`agent`](../packages/core/agent), [`bash`](../packages/bash/bash), [`commands`](../packages/ui/commands), [`llm`](../packages/llm/llm), [`llm-retry`](../packages/llm/llm-retry), [`permission`](../packages/ui/permission), [`sandbox`](../packages/sandbox/sandbox), [`session`](../packages/core/session), [`session-persistence`](../packages/session-persistence/session-persistence), [`system-prompt`](../packages/core/system-prompt), [`tools`](../packages/core/tools), [`user-approval`](../packages/ui/user-approval), [`user-interaction`](../packages/ui/user-interaction) |
| [`tool-ask-user`](../packages/ui/tool-ask-user) | `ui` | [`agent`](../packages/core/agent), [`tools`](../packages/core/tools), [`user-interaction`](../packages/ui/user-interaction) |
| [`workspace-context`](../packages/context/workspace-context) | `context` | [`agent`](../packages/core/agent), [`fs`](../packages/fs/fs), [`llm`](../packages/llm/llm), [`paths`](../packages/util/paths), [`session`](../packages/core/session), [`tools`](../packages/core/tools) |
| [`repeat-tool-guard`](../packages/guard/repeat-tool-guard) | `guard` | [`agent`](../packages/core/agent), [`tools`](../packages/core/tools) |
@@ -554,11 +585,11 @@ flowchart TD
| [`tool-subagent`](../packages/subagent/tool-subagent) | `subagent` | [`agent`](../packages/core/agent), [`llm`](../packages/llm/llm), [`subagent`](../packages/subagent/subagent), [`tasks`](../packages/tasks/tasks), [`tools`](../packages/core/tools) |
| [`hooks-claude`](../packages/hooks/hooks-claude) | `hooks` | [`agent`](../packages/core/agent), [`hook-protocol`](../packages/hooks/hook-protocol), [`llm`](../packages/llm/llm), [`session`](../packages/core/session), [`session-persistence`](../packages/session-persistence/session-persistence), [`subagent`](../packages/subagent/subagent), [`tools`](../packages/core/tools) |
| [`jsonrpc`](../packages/ui/jsonrpc) | `ui` | [`agent`](../packages/core/agent), [`llm`](../packages/llm/llm), [`llm-deepseek`](../packages/llm/llm-deepseek), [`scope`](../packages/core/scope), [`session`](../packages/core/session), [`subagent`](../packages/subagent/subagent) |
| [`tui`](../packages/ui/tui) | `ui` | [`agent`](../packages/core/agent), [`agent-loop`](../packages/core/agent-loop), [`llm`](../packages/llm/llm), [`llm-retry`](../packages/llm/llm-retry), [`session`](../packages/core/session), [`tools`](../packages/core/tools), [`user-interaction`](../packages/ui/user-interaction) |
| [`tui`](../packages/ui/tui) | `ui` | [`agent`](../packages/core/agent), [`agent-loop`](../packages/core/agent-loop), [`commands`](../packages/ui/commands), [`llm`](../packages/llm/llm), [`llm-retry`](../packages/llm/llm-retry), [`session`](../packages/core/session), [`tools`](../packages/core/tools), [`user-interaction`](../packages/ui/user-interaction) |
| [`agent-spine-demo`](../packages/examples/agent-spine-demo) | `examples` | [`agent`](../packages/core/agent), [`agent-loop`](../packages/core/agent-loop), [`home`](../packages/util/home), [`invariants`](../packages/support/invariants), [`llm`](../packages/llm/llm), [`llm-retry`](../packages/llm/llm-retry), [`session`](../packages/core/session), [`skill`](../packages/skill/skill), [`skill-local`](../packages/skill/skill-local), [`system-prompt`](../packages/core/system-prompt), [`tasks`](../packages/tasks/tasks), [`tool-bash`](../packages/bash/tool-bash), [`tool-skill`](../packages/skill/tool-skill), [`tool-tasks`](../packages/tasks/tool-tasks), [`tools`](../packages/core/tools), [`workspace-context`](../packages/context/workspace-context) |
| [`workflow-workerthread`](../packages/workflow/workflow-workerthread) | `workflow` | [`agent`](../packages/core/agent), [`brand`](../packages/util/brand), [`llm`](../packages/llm/llm), [`session`](../packages/core/session), [`subagent`](../packages/subagent/subagent), [`tools`](../packages/core/tools), [`workflow`](../packages/workflow/workflow) |
| [`subagent-fork`](../packages/subagent/subagent-fork) | `subagent` | [`agent`](../packages/core/agent), [`session`](../packages/core/session), [`subagent`](../packages/subagent/subagent), [`subagent-inprocess`](../packages/subagent/subagent-inprocess) |
| [`subagent-spawn`](../packages/subagent/subagent-spawn) | `subagent` | [`subagent`](../packages/subagent/subagent), [`subagent-inprocess`](../packages/subagent/subagent-inprocess) |
| [`acp-demo`](../packages/examples/acp-demo) | `examples` | [`acp`](../packages/ui/acp), [`agent-spine-demo`](../packages/examples/agent-spine-demo), [`app-boot`](../packages/ui/app-boot), [`session-persistence-jsonl`](../packages/session-persistence/session-persistence-jsonl), [`tools`](../packages/core/tools), [`user-interaction`](../packages/ui/user-interaction), [`workspace-context`](../packages/context/workspace-context) |
| [`acp-demo`](../packages/examples/acp-demo) | `examples` | [`acp`](../packages/ui/acp), [`agent-spine-demo`](../packages/examples/agent-spine-demo), [`app-boot`](../packages/ui/app-boot), [`commands`](../packages/ui/commands), [`session-persistence-jsonl`](../packages/session-persistence/session-persistence-jsonl), [`tools`](../packages/core/tools), [`user-interaction`](../packages/ui/user-interaction), [`workspace-context`](../packages/context/workspace-context) |
| [`cli-demo`](../packages/examples/cli-demo) | `examples` | [`agent`](../packages/core/agent), [`agent-spine-demo`](../packages/examples/agent-spine-demo), [`app-boot`](../packages/ui/app-boot), [`llm`](../packages/llm/llm), [`session`](../packages/core/session), [`session-persistence-jsonl`](../packages/session-persistence/session-persistence-jsonl), [`tools`](../packages/core/tools), [`workspace-context`](../packages/context/workspace-context) |
| [`tui-demo`](../packages/examples/tui-demo) | `examples` | [`agent`](../packages/core/agent), [`agent-loop`](../packages/core/agent-loop), [`agent-spine-demo`](../packages/examples/agent-spine-demo), [`app-boot`](../packages/ui/app-boot), [`llm`](../packages/llm/llm), [`session`](../packages/core/session), [`session-persistence-jsonl`](../packages/session-persistence/session-persistence-jsonl), [`tool-ask-user`](../packages/ui/tool-ask-user), [`tools`](../packages/core/tools), [`tui`](../packages/ui/tui), [`user-interaction`](../packages/ui/user-interaction), [`workspace-context`](../packages/context/workspace-context) |
| [`tui-demo`](../packages/examples/tui-demo) | `examples` | [`agent`](../packages/core/agent), [`agent-loop`](../packages/core/agent-loop), [`agent-spine-demo`](../packages/examples/agent-spine-demo), [`app-boot`](../packages/ui/app-boot), [`commands`](../packages/ui/commands), [`llm`](../packages/llm/llm), [`session`](../packages/core/session), [`session-persistence-jsonl`](../packages/session-persistence/session-persistence-jsonl), [`tool-ask-user`](../packages/ui/tool-ask-user), [`tools`](../packages/core/tools), [`tui`](../packages/ui/tui), [`user-interaction`](../packages/ui/user-interaction), [`workspace-context`](../packages/context/workspace-context) |
+93
View File
@@ -21,6 +21,7 @@ This table connects model-visible tool names to the plugin package and service s
| `@deepseek-ai/dsh-tool-cordis` | `cordis_inspect`, `cordis_mount`, `cordis_unmount` | `ctx.tools` | `tool/call`, `tool/result`, `live plugin-tree mutations (mount/unmount)` | - | Ships in examples/cordis-agent only (a deliberate opt-in — mounted code gets the real ctx, see .agents/notes/implemented/feature/2026-07-08-self-referential-cordis-toolset.md). Plugins the model mounts may register ADDITIONAL model-visible tools at runtime; a full changed request header logs those tool-set changes. |
| `@deepseek-ai/dsh-tool-fs` | `edit`, `read`, `write` | `ctx.tools`, `ctx.fs`, `ctx.systemPrompt` | `tool/call`, `fs/write-intent or fs/edit-intent for mutations`, `fs/observed after successful file operations`, `tool/result` | - | The read-before-write/edit policy is added by `@deepseek-ai/dsh-fs-policy` (an `fs/*` event-gate plugin, no schema change); a deployment that loads these tools is expected to also load it. The tool schemas above are identical with or without the policy plugin. |
| `@deepseek-ai/dsh-tool-fs-search` | `glob`, `grep` | `ctx.tools`, `ctx.bash`, `ctx.systemPrompt` | `tool/call`, `tool/result` | - | glob and grep are conditional bash-backed discovery tools: they register only when ctx.bash can find `rg`, then run fixed ripgrep commands through ctx.bash as ordinary foreground calls (never background tasks). Capped results save the complete formatted list through the optional ctx.spillStore backend; returned locators are follow-up-readable/searchable when the backend exposes local paths in co-located deployments. |
| `@deepseek-ai/dsh-tool-goal` | `create_goal`, `get_goal`, `update_goal` | `ctx.tools`, `ctx.agents`, `ctx.goals`, `ctx.systemPrompt`, `a calling Agent in an authorized open turn` | `tool/call`, `context/message goal snapshot for mutations`, `tool/result` | - | create, edit, pause, and resume require direct-human root authority; complete and blocked also accept the exact current goal round. The default blocked lower bound is three admitted rounds. |
| `@deepseek-ai/dsh-tool-skill` | `skill` | `ctx.tools`, `ctx.skills` | `tool/call`, `tool/result` | - | - |
| `@deepseek-ai/dsh-tool-subagent` | `subagent` | `ctx.tools`, `ctx.subagents` | `tool/call`, `tool/result`, `child session events through the chosen provider` | `subagent`, `subagent_fork` | The registered tool name is the load-time `toolName` config (default `subagent`); the schema above is that default. The shipped example agents load this package once per subagent backend, so the model additionally sees `subagent_fork` (bound to the fork backend) with an identical schema — see `examples/tui-agent/cordis.yml` and `examples/acp-agent/cordis.yml`. |
| `@deepseek-ai/dsh-tool-tasks` | `task_kill`, `task_list`, `task_output` | `ctx.tools`, `ctx.tasks`, `ctx.systemPrompt` | `tool/call`, `tool/result`, `context/message via agent.inject() for background completion notices` | - | The kind-agnostic background-task control surface: a background bash command and a background subagent are read, listed, and killed through the same three tools. Loading the plugin attaches the control surface that arms producers' `ctx.tasks.start()`. |
@@ -393,6 +394,98 @@ Source: [`packages/fs/tool-fs-search/src/index.ts`](../packages/fs/tool-fs-searc
glob and grep are conditional bash-backed discovery tools: they register only when ctx.bash can find `rg`, then run fixed ripgrep commands through ctx.bash as ordinary foreground calls (never background tasks). Capped results save the complete formatted list through the optional ctx.spillStore backend; returned locators are follow-up-readable/searchable when the backend exposes local paths in co-located deployments.
## `@deepseek-ai/dsh-tool-goal`
### `create_goal`
Create one persisted same-session completion goal when the current direct human request is a long-running objective that should continue across autonomous goal rounds. You may infer that intent without requiring the user to say "create a goal". Do not use this for trivial single-turn work. Execution rejects non-human and subagent authority.
```json
{
"type": "object",
"properties": {
"objective": {
"type": "string",
"description": "The concrete completion objective inferred from the direct human request."
},
"max_goal_rounds": {
"type": "number",
"description": "Optional positive safe-integer limit on automatic continuation rounds."
}
},
"required": [
"objective"
]
}
```
Source: [`packages/goal/tool-goal/src/index.ts`](../packages/goal/tool-goal/src/index.ts)
### `get_goal`
Read the current same-session goal, including its exact id/revision, objective, phase, completed continuation rounds, round limit, blocker reason when present, and whether another continuation is armed. Call this before updating a goal.
```json
{
"type": "object",
"properties": {}
}
```
Source: [`packages/goal/tool-goal/src/index.ts`](../packages/goal/tool-goal/src/index.ts)
### `update_goal`
Update the exact current goal revision. edit, pause, and resume require a direct top-level human request. During an automatic continuation of the current goal, complete and blocked are also allowed. blocked is rejected before the configured minimum round count; the model remains responsible for judging that the same condition persisted across those rounds and must explain it in blocked_reason.
```json
{
"type": "object",
"properties": {
"goal_id": {
"type": "string",
"description": "Exact id returned by get_goal."
},
"revision": {
"type": "number",
"description": "Exact positive revision returned by get_goal."
},
"action": {
"type": "string",
"description": "edit | pause | resume | complete | blocked",
"enum": [
"edit",
"pause",
"resume",
"complete",
"blocked"
]
},
"objective": {
"type": "string",
"description": "Replacement objective; valid only with action edit."
},
"max_goal_rounds": {
"type": "number",
"description": "Replacement cap; valid only with action edit."
},
"blocked_reason": {
"type": "string",
"description": "Concrete blocking condition; required only with action blocked."
}
},
"required": [
"goal_id",
"revision",
"action"
]
}
```
Source: [`packages/goal/tool-goal/src/index.ts`](../packages/goal/tool-goal/src/index.ts)
create, edit, pause, and resume require direct-human root authority; complete and blocked also accept the exact current goal round. The default blocked lower bound is three admitted rounds.
## `@deepseek-ai/dsh-tool-skill`
### `skill`
@@ -0,0 +1,19 @@
# Replay counterpart to goal.cordis.yml; only the live model is replaced.
- id: base
name: '@cordisjs/plugin-include'
config:
path: ./goal.cordis.yml
patches:
- id: llm-deepseek
name: '@deepseek-ai/dsh-llm-deepseek'
disabled: true
- insert:
- id: llm-replay
name: '@deepseek-ai/dsh-llm-replay'
config:
providers:
- id: deepseek
name: DeepSeek
models:
- id: deepseek-v4-flash
- id: deepseek-v4-pro
+13
View File
@@ -0,0 +1,13 @@
# Add the persisted same-session goal stack to the shipped ACP app.
- id: base
name: '@cordisjs/plugin-include'
config:
path: ./cordis.yml
patches:
- insert:
- id: goal
name: '@deepseek-ai/dsh-goal'
- id: tool-goal
name: '@deepseek-ai/dsh-tool-goal'
- id: goal-session
name: '@deepseek-ai/dsh-goal-session'
@@ -0,0 +1,12 @@
{
"steps": [
{ "op": "initialize" },
{ "op": "newSession" },
{
"op": "promptAndWaitForAgentMessage",
"text": "Create a durable two-round goal for the ACP snapshot, inspect it, then report readiness.",
"waitForText": "partial"
},
{ "op": "cancel" }
]
}
@@ -0,0 +1,43 @@
[
{
"kind": "chunks",
"chunks": [
{ "type": "block-start", "index": 0, "blockType": "tool-call" },
{ "type": "tool-call-delta", "index": 0, "id": "call_goal_create", "name": "create_goal", "argumentsDelta": "{\"objective\":\"Finish the ACP goal-session snapshot proof\",\"max_goal_rounds\":2}" },
{ "type": "block-end", "index": 0, "block": { "type": "tool-call", "id": "call_goal_create", "name": "create_goal", "arguments": "{\"objective\":\"Finish the ACP goal-session snapshot proof\",\"max_goal_rounds\":2}" } },
{ "type": "usage", "usage": { "inputTokens": 20, "outputTokens": 8 } },
{ "type": "finish", "reason": { "kind": "tool-calls" } }
]
},
{
"kind": "chunks",
"chunks": [
{ "type": "block-start", "index": 0, "blockType": "tool-call" },
{ "type": "tool-call-delta", "index": 0, "id": "call_goal_get", "name": "get_goal", "argumentsDelta": "{}" },
{ "type": "block-end", "index": 0, "block": { "type": "tool-call", "id": "call_goal_get", "name": "get_goal", "arguments": "{}" } },
{ "type": "usage", "usage": { "inputTokens": 30, "outputTokens": 4 } },
{ "type": "finish", "reason": { "kind": "tool-calls" } }
]
},
{
"kind": "chunks",
"chunks": [
{ "type": "block-start", "index": 0, "blockType": "text" },
{ "type": "text-delta", "index": 0, "text": "GOAL READY" },
{ "type": "block-end", "index": 0, "block": { "type": "text", "text": "GOAL READY" } },
{ "type": "usage", "usage": { "inputTokens": 35, "outputTokens": 2 } },
{ "type": "finish", "reason": { "kind": "stop" } }
]
},
{
"kind": "chunks",
"chunks": [
{ "type": "block-start", "index": 0, "blockType": "text" },
{ "type": "text-delta", "index": 0, "text": "GOAL ROUND ONE" },
{ "type": "block-end", "index": 0, "block": { "type": "text", "text": "GOAL ROUND ONE" } },
{ "type": "usage", "usage": { "inputTokens": 40, "outputTokens": 3 } },
{ "type": "finish", "reason": { "kind": "stop" } }
]
},
{ "kind": "hang" }
]
@@ -0,0 +1,53 @@
{"type":"session","version":0,"id":"{{sessionId}}","createdAt":0,"cwd":"{{cwd}}","delegationDepth":0}
{"type":"turn/start","seq":0,"time":0,"data":{"turn":1,"trigger":{"kind":"message","source":{"kind":"user"}}}}
{"type":"user/message","seq":1,"time":0,"data":{"content":[{"type":"text","text":"Create a durable two-round goal for the ACP snapshot, inspect it, then report readiness."}],"source":{"kind":"user"}},"surfaceOp":"append"}
{"type":"step/start","seq":2,"time":0,"data":{"turn":1,"step":1}}
{"type":"request/header","seq":3,"time":0,"data":{"header":{"config":{"provider":"deepseek","model":"deepseek-v4-flash"},"system":"{{system}}","tools":"{{tools}}"},"reason":"initial"}}
{"type":"assistant/chunk","seq":4,"time":0,"data":{"turn":1,"step":1,"chunk":{"type":"block-start","index":0,"blockType":"tool-call"}}}
{"type":"assistant/chunk","seq":5,"time":0,"data":{"turn":1,"step":1,"chunk":{"type":"tool-call-delta","index":0,"id":"call_goal_create","name":"create_goal","argumentsDelta":"{\"objective\":\"Finish the ACP goal-session snapshot proof\",\"max_goal_rounds\":2}"}}}
{"type":"assistant/chunk","seq":6,"time":0,"data":{"turn":1,"step":1,"chunk":{"type":"block-end","index":0,"block":{"type":"tool-call","id":"call_goal_create","name":"create_goal","arguments":"{\"objective\":\"Finish the ACP goal-session snapshot proof\",\"max_goal_rounds\":2}"}}}}
{"type":"assistant/chunk","seq":7,"time":0,"data":{"turn":1,"step":1,"chunk":{"type":"usage","usage":{"inputTokens":20,"outputTokens":8}}}}
{"type":"assistant/chunk","seq":8,"time":0,"data":{"turn":1,"step":1,"chunk":{"type":"finish","reason":{"kind":"tool-calls"}}}}
{"type":"assistant/message","seq":9,"time":0,"data":{"turn":1,"step":1,"content":[{"type":"tool-call","id":"call_goal_create","name":"create_goal","arguments":"{\"objective\":\"Finish the ACP goal-session snapshot proof\",\"max_goal_rounds\":2}"}],"provenance":{"provider":"deepseek","model":"deepseek-v4-flash"},"usage":{"inputTokens":20,"outputTokens":8}},"sourceEventSeqs":[4,5,6,7,8],"surfaceOp":"append"}
{"type":"tool/call","seq":10,"time":0,"data":{"turn":1,"step":1,"callId":"call_goal_create","name":"create_goal","arguments":"{\"objective\":\"Finish the ACP goal-session snapshot proof\",\"max_goal_rounds\":2}"}}
{"type":"tool/result","seq":11,"time":0,"data":{"turn":1,"step":1,"callId":"call_goal_create","content":[{"type":"text","text":"{\"goal\":{\"id\":\"goal-{{sessionId}}\",\"revision\":1,\"objective\":\"Finish the ACP goal-session snapshot proof\",\"phase\":\"active\",\"roundsStarted\":0,\"maxGoalRounds\":2},\"activation\":\"armed\"}"}],"isError":false},"sourceEventSeqs":[10],"surfaceOp":"append"}
{"type":"context/message","seq":12,"time":0,"data":{"content":[{"type":"text","text":"<goal_state>{\"goal\":{\"id\":\"goal-{{sessionId}}\",\"revision\":1,\"objective\":\"Finish the ACP goal-session snapshot proof\",\"phase\":\"active\",\"maxGoalRounds\":2},\"roundsStarted\":0,\"createdAt\":0,\"updatedAt\":0}</goal_state>"}],"source":{"kind":"goal","goalId":"goal-{{sessionId}}","revision":1,"round":0},"meta":{"kind":"goal/change","version":1,"operation":"create","goal":{"id":"goal-{{sessionId}}","revision":1,"objective":"Finish the ACP goal-session snapshot proof","phase":"active","maxGoalRounds":2},"roundsStarted":0,"createdAt":0,"updatedAt":0}},"surfaceOp":"append"}
{"type":"step/end","seq":13,"time":0,"data":{"turn":1,"step":1}}
{"type":"step/start","seq":14,"time":0,"data":{"turn":1,"step":2}}
{"type":"assistant/chunk","seq":15,"time":0,"data":{"turn":1,"step":2,"chunk":{"type":"block-start","index":0,"blockType":"tool-call"}}}
{"type":"assistant/chunk","seq":16,"time":0,"data":{"turn":1,"step":2,"chunk":{"type":"tool-call-delta","index":0,"id":"call_goal_get","name":"get_goal","argumentsDelta":"{}"}}}
{"type":"assistant/chunk","seq":17,"time":0,"data":{"turn":1,"step":2,"chunk":{"type":"block-end","index":0,"block":{"type":"tool-call","id":"call_goal_get","name":"get_goal","arguments":"{}"}}}}
{"type":"assistant/chunk","seq":18,"time":0,"data":{"turn":1,"step":2,"chunk":{"type":"usage","usage":{"inputTokens":30,"outputTokens":4}}}}
{"type":"assistant/chunk","seq":19,"time":0,"data":{"turn":1,"step":2,"chunk":{"type":"finish","reason":{"kind":"tool-calls"}}}}
{"type":"assistant/message","seq":20,"time":0,"data":{"turn":1,"step":2,"content":[{"type":"tool-call","id":"call_goal_get","name":"get_goal","arguments":"{}"}],"provenance":{"provider":"deepseek","model":"deepseek-v4-flash"},"usage":{"inputTokens":30,"outputTokens":4}},"sourceEventSeqs":[15,16,17,18,19],"surfaceOp":"append"}
{"type":"tool/call","seq":21,"time":0,"data":{"turn":1,"step":2,"callId":"call_goal_get","name":"get_goal","arguments":"{}"}}
{"type":"tool/result","seq":22,"time":0,"data":{"turn":1,"step":2,"callId":"call_goal_get","content":[{"type":"text","text":"{\"goal\":{\"id\":\"goal-{{sessionId}}\",\"revision\":1,\"objective\":\"Finish the ACP goal-session snapshot proof\",\"phase\":\"active\",\"roundsStarted\":0,\"maxGoalRounds\":2},\"activation\":\"armed\"}"}],"isError":false},"sourceEventSeqs":[21],"surfaceOp":"append"}
{"type":"step/end","seq":23,"time":0,"data":{"turn":1,"step":2}}
{"type":"step/start","seq":24,"time":0,"data":{"turn":1,"step":3}}
{"type":"assistant/chunk","seq":25,"time":0,"data":{"turn":1,"step":3,"chunk":{"type":"block-start","index":0,"blockType":"text"}}}
{"type":"assistant/chunk","seq":26,"time":0,"data":{"turn":1,"step":3,"chunk":{"type":"text-delta","index":0,"text":"GOAL READY"}}}
{"type":"assistant/chunk","seq":27,"time":0,"data":{"turn":1,"step":3,"chunk":{"type":"block-end","index":0,"block":{"type":"text","text":"GOAL READY"}}}}
{"type":"assistant/chunk","seq":28,"time":0,"data":{"turn":1,"step":3,"chunk":{"type":"usage","usage":{"inputTokens":35,"outputTokens":2}}}}
{"type":"assistant/chunk","seq":29,"time":0,"data":{"turn":1,"step":3,"chunk":{"type":"finish","reason":{"kind":"stop"}}}}
{"type":"assistant/message","seq":30,"time":0,"data":{"turn":1,"step":3,"content":[{"type":"text","text":"GOAL READY"}],"provenance":{"provider":"deepseek","model":"deepseek-v4-flash"},"usage":{"inputTokens":35,"outputTokens":2}},"sourceEventSeqs":[25,26,27,28,29],"surfaceOp":"append"}
{"type":"step/end","seq":31,"time":0,"data":{"turn":1,"step":3}}
{"type":"turn/end","seq":32,"time":0,"data":{"turn":1,"reason":{"kind":"completed"}}}
{"type":"turn/start","seq":33,"time":0,"data":{"turn":2,"trigger":{"kind":"message","source":{"kind":"goal","goalId":"goal-{{sessionId}}","revision":1,"round":1}}}}
{"type":"user/message","seq":34,"time":0,"data":{"content":[{"type":"text","text":"<goal_round>\nObjective: \"Finish the ACP goal-session snapshot proof\"\nRound: 1/2\n\nContinue working toward the objective in this same session. Treat the current workspace, tool results, and durable session state as authoritative; inspect them instead of assuming earlier narration is still current. Make concrete progress and verify the result. Before claiming completion, gather evidence that the whole objective is achieved, read the current goal, and mark it complete. If work remains, leave the goal active for the next round. Follow the configured goal-tool policy before reporting a blocker.\n</goal_round>"}],"source":{"kind":"goal","goalId":"goal-{{sessionId}}","revision":1,"round":1}},"surfaceOp":"append"}
{"type":"step/start","seq":35,"time":0,"data":{"turn":2,"step":1}}
{"type":"assistant/chunk","seq":36,"time":0,"data":{"turn":2,"step":1,"chunk":{"type":"block-start","index":0,"blockType":"text"}}}
{"type":"assistant/chunk","seq":37,"time":0,"data":{"turn":2,"step":1,"chunk":{"type":"text-delta","index":0,"text":"GOAL ROUND ONE"}}}
{"type":"assistant/chunk","seq":38,"time":0,"data":{"turn":2,"step":1,"chunk":{"type":"block-end","index":0,"block":{"type":"text","text":"GOAL ROUND ONE"}}}}
{"type":"assistant/chunk","seq":39,"time":0,"data":{"turn":2,"step":1,"chunk":{"type":"usage","usage":{"inputTokens":40,"outputTokens":3}}}}
{"type":"assistant/chunk","seq":40,"time":0,"data":{"turn":2,"step":1,"chunk":{"type":"finish","reason":{"kind":"stop"}}}}
{"type":"assistant/message","seq":41,"time":0,"data":{"turn":2,"step":1,"content":[{"type":"text","text":"GOAL ROUND ONE"}],"provenance":{"provider":"deepseek","model":"deepseek-v4-flash"},"usage":{"inputTokens":40,"outputTokens":3}},"sourceEventSeqs":[36,37,38,39,40],"surfaceOp":"append"}
{"type":"step/end","seq":42,"time":0,"data":{"turn":2,"step":1}}
{"type":"turn/end","seq":43,"time":0,"data":{"turn":2,"reason":{"kind":"completed"}}}
{"type":"turn/start","seq":44,"time":0,"data":{"turn":3,"trigger":{"kind":"message","source":{"kind":"goal","goalId":"goal-{{sessionId}}","revision":1,"round":2}}}}
{"type":"user/message","seq":45,"time":0,"data":{"content":[{"type":"text","text":"<goal_round>\nObjective: \"Finish the ACP goal-session snapshot proof\"\nRound: 2/2\n\nContinue working toward the objective in this same session. Treat the current workspace, tool results, and durable session state as authoritative; inspect them instead of assuming earlier narration is still current. Make concrete progress and verify the result. Before claiming completion, gather evidence that the whole objective is achieved, read the current goal, and mark it complete. If work remains, leave the goal active for the next round. Follow the configured goal-tool policy before reporting a blocker.\n</goal_round>"}],"source":{"kind":"goal","goalId":"goal-{{sessionId}}","revision":1,"round":2}},"surfaceOp":"append"}
{"type":"step/start","seq":46,"time":0,"data":{"turn":3,"step":1}}
{"type":"assistant/chunk","seq":47,"time":0,"data":{"turn":3,"step":1,"chunk":{"type":"block-start","index":0,"blockType":"text"}}}
{"type":"assistant/chunk","seq":48,"time":0,"data":{"turn":3,"step":1,"chunk":{"type":"text-delta","index":0,"text":"partial"}}}
{"type":"context/message","seq":49,"time":0,"data":{"content":[{"type":"text","text":"<goal_state>{\"goal\":{\"id\":\"goal-{{sessionId}}\",\"revision\":2,\"objective\":\"Finish the ACP goal-session snapshot proof\",\"phase\":\"paused\",\"maxGoalRounds\":2},\"roundsStarted\":2,\"createdAt\":0,\"updatedAt\":0}</goal_state>"}],"source":{"kind":"goal","goalId":"goal-{{sessionId}}","revision":2,"round":0},"meta":{"kind":"goal/change","version":1,"operation":"pause","goal":{"id":"goal-{{sessionId}}","revision":2,"objective":"Finish the ACP goal-session snapshot proof","phase":"paused","maxGoalRounds":2},"roundsStarted":2,"createdAt":0,"updatedAt":0}},"surfaceOp":"append"}
{"type":"step/end","seq":50,"time":0,"data":{"turn":3,"step":1}}
{"type":"turn/end","seq":51,"time":0,"data":{"turn":3,"reason":{"kind":"aborted","reason":"session/cancel"}}}
@@ -0,0 +1 @@
{"type":"session","version":0,"id":"goal-session-placeholder","createdAt":0,"cwd":"/tmp/goal-session-placeholder"}
@@ -0,0 +1,11 @@
{"jsonrpc":"2.0","id":1,"result":{"protocolVersion":1,"agentInfo":{"name":"deepseek-harness-acp","version":"0.0.1"},"agentCapabilities":{"loadSession":true,"promptCapabilities":{"image":false,"audio":false,"embeddedContext":false}},"authMethods":[]}}
{"jsonrpc":"2.0","id":2,"result":{"sessionId":"{{sessionId}}","configOptions":[{"id":"model","name":"Model","description":"Sets this session's provider and model.","category":"model","type":"select","currentValue":"[\"deepseek\",\"deepseek-v4-flash\"]","options":[{"value":"[\"deepseek\",\"deepseek-v4-flash\"]","name":"deepseek-v4-flash"},{"value":"[\"deepseek\",\"deepseek-v4-pro\"]","name":"deepseek-v4-pro"}]},{"id":"permission","name":"Permissions","description":"The session permission preset: each choice bundles a sandbox mode and an approval policy.","category":"mode","type":"select","currentValue":"danger-full-access","options":[{"value":"workspace-write","name":"workspace-write","description":"Write inside the workspace and permitted temporary directories; wider retries require approval."},{"value":"danger-full-access","name":"danger-full-access","description":"Full file access without approval prompts."}]}]}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"available_commands_update","availableCommands":[]}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"tool_call","toolCallId":"call_goal_create","title":"Create goal","kind":"other","status":"in_progress","rawInput":"Finish the ACP goal-session snapshot proof"}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"tool_call_update","toolCallId":"call_goal_create","status":"completed","content":[{"type":"content","content":{"type":"text","text":"{\"goal\":{\"id\":\"goal-{{sessionId}}\",\"revision\":1,\"objective\":\"Finish the ACP goal-session snapshot proof\",\"phase\":\"active\",\"roundsStarted\":0,\"maxGoalRounds\":2},\"activation\":\"armed\"}"}}]}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"tool_call","toolCallId":"call_goal_get","title":"Read current goal","kind":"read","status":"in_progress"}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"tool_call_update","toolCallId":"call_goal_get","status":"completed","content":[{"type":"content","content":{"type":"text","text":"{\"goal\":{\"id\":\"goal-{{sessionId}}\",\"revision\":1,\"objective\":\"Finish the ACP goal-session snapshot proof\",\"phase\":\"active\",\"roundsStarted\":0,\"maxGoalRounds\":2},\"activation\":\"armed\"}"}}]}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"agent_message_chunk","content":{"type":"text","text":"GOAL READY"}}}}
{"jsonrpc":"2.0","id":3,"result":{"stopReason":"end_turn"}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"agent_message_chunk","content":{"type":"text","text":"GOAL ROUND ONE"}}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"agent_message_chunk","content":{"type":"text","text":"partial"}}}}
+114
View File
@@ -0,0 +1,114 @@
import { readFile, writeFile } from 'node:fs/promises'
import { dirname, join } from 'node:path'
import { fileURLToPath } from 'node:url'
import {
normalizeSessionLog,
normalizeStdout,
runScenario,
scrubRequestHeaders,
type AgentUnderTest,
type InputScript,
type NormalizeContext,
} from '@deepseek-ai/dsh-acp-snapshot'
import { foldGoal } from '@deepseek-ai/dsh-goal'
import type { SessionEvent } from '@deepseek-ai/dsh-session'
import { describe, expect, it } from 'vitest'
// This lifecycle proof has goal-specific timestamp normalization and semantic
// assertions, so it owns a separate snapshot root from the generic ACP suite.
const scenarioDir = join(dirname(fileURLToPath(import.meta.url)), 'goal-snapshots/goal-session')
const fixtureFile = join(scenarioDir, 'session.jsonl')
const overrideFile = join(scenarioDir, 'replay.override.json')
const stdoutExpected = join(scenarioDir, 'stdout.expected.jsonl')
const sessionExpected = join(scenarioDir, 'session.expected.jsonl')
const refreshing = process.env.DSH_SNAPSHOT === 'refresh'
const agent: AgentUnderTest = {
binScript: fileURLToPath(new URL('../../../packages/examples/acp-demo/src/bin.ts', import.meta.url)),
configPath: fileURLToPath(new URL('../goal.cordis.yml', import.meta.url)),
tsconfigPath: fileURLToPath(new URL('../../../tsconfig.json', import.meta.url)),
}
interface JsonObject {
[key: string]: unknown
}
/** Parse non-empty records from one JSONL artifact. */
function parseJsonl(content: string): JsonObject[] {
return content.split('\n').filter(line => line.trim().length > 0)
.map(line => JSON.parse(line) as JsonObject)
}
/** Zero durable goal timestamps inside metadata records and rendered XML JSON. */
function normalizeGoalTimestamps(value: unknown): unknown {
if (typeof value === 'string') {
return value.replace(/("(?:createdAt|updatedAt|clearedAt)":)\d+/g, '$10')
}
if (Array.isArray(value)) return value.map(normalizeGoalTimestamps)
if (value !== null && typeof value === 'object') {
return Object.fromEntries(Object.entries(value).map(([key, item]) => [
key,
['createdAt', 'updatedAt', 'clearedAt'].includes(key) && typeof item === 'number'
? 0
: normalizeGoalTimestamps(item),
]))
}
return value
}
/** Normalize one persisted goal log after the shared snapshot scrubbers. */
function normalizeGoalLog(content: string, context: NormalizeContext): string {
return parseJsonl(scrubRequestHeaders(normalizeSessionLog(content, context)))
.map(record => JSON.stringify(normalizeGoalTimestamps(record)))
.join('\n') + '\n'
}
describe('ACP same-session goal snapshot', () => {
it('runs exact automatic rounds in the shipped application and persists cancellation', async () => {
const input = JSON.parse(await readFile(join(scenarioDir, 'input.json'), 'utf8')) as InputScript
const result = await runScenario(input, {
agent,
mode: 'replay',
fixtureFile,
overrideFile,
configPath: agent.configPath,
})
expect(result.stderr).toBe('')
expect(result.sessionLogs).toHaveLength(1)
const log = result.sessionLogs[0]
if (log === undefined) throw new Error('goal snapshot did not persist its ACP session')
const records = parseJsonl(log.content)
const events = records.slice(1) as unknown as SessionEvent[]
const calls = events.filter(event => event.type === 'tool/call').map(event => event.data.name)
expect(calls).toEqual(['create_goal', 'get_goal'])
const rounds = events.flatMap(event => event.type === 'user/message' && event.data.source.kind === 'goal'
? [event.data.source.round]
: [])
expect(rounds).toEqual([1, 2])
expect(foldGoal(events)).toMatchObject({
goal: {
objective: 'Finish the ACP goal-session snapshot proof',
phase: 'paused',
revision: 2,
maxGoalRounds: 2,
},
roundsStarted: 2,
})
const context: NormalizeContext = {
sessionIds: [result.sessionId, log.id].filter((id): id is string => id !== undefined),
cwd: result.cwd,
}
const stdout = normalizeStdout(result.rawStdout, context)
const session = normalizeGoalLog(log.content, context)
if (refreshing) {
await Promise.all([
writeFile(stdoutExpected, stdout),
writeFile(sessionExpected, session),
])
}
expect(stdout).toBe(await readFile(stdoutExpected, 'utf8'))
expect(session).toBe(await readFile(sessionExpected, 'utf8'))
})
})
@@ -1,5 +1,6 @@
{"jsonrpc":"2.0","id":1,"result":{"protocolVersion":1,"agentInfo":{"name":"deepseek-harness-acp","version":"0.0.1"},"agentCapabilities":{"loadSession":true,"promptCapabilities":{"image":false,"audio":false,"embeddedContext":false}},"authMethods":[]}}
{"jsonrpc":"2.0","id":2,"result":{"sessionId":"{{sessionId}}","configOptions":[{"id":"model","name":"Model","description":"Sets this session's provider and model.","category":"model","type":"select","currentValue":"[\"deepseek\",\"deepseek-v4-flash\"]","options":[{"value":"[\"deepseek\",\"deepseek-v4-flash\"]","name":"deepseek-v4-flash"},{"value":"[\"deepseek\",\"deepseek-v4-pro\"]","name":"deepseek-v4-pro"}]},{"id":"permission","name":"Permissions","description":"The session permission preset: each choice bundles a sandbox mode and an approval policy.","category":"mode","type":"select","currentValue":"danger-full-access","options":[{"value":"workspace-write","name":"workspace-write","description":"Write inside the workspace and permitted temporary directories; wider retries require approval."},{"value":"danger-full-access","name":"danger-full-access","description":"Full file access without approval prompts."}]}]}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"available_commands_update","availableCommands":[]}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"tool_call","toolCallId":"advanced-mount","title":"Mount plugin into live cordis runtime","kind":"execute","status":"in_progress","rawInput":{"code":"return { name: 'snapshot-marker', apply() {} }"}}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"tool_call_update","toolCallId":"advanced-mount","status":"completed","content":[{"type":"content","content":{"type":"text","text":"mounted dyn-1 (plugin \"snapshot-marker\", state: active)"}}]}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"tool_call","toolCallId":"advanced-code","title":"return await tools.cordis_inspect({ what: 'dynamic' })","kind":"execute","status":"in_progress","rawInput":"return await tools.cordis_inspect({ what: 'dynamic' })"}}}
@@ -1,5 +1,6 @@
{"jsonrpc":"2.0","id":1,"result":{"protocolVersion":1,"agentInfo":{"name":"deepseek-harness-acp","version":"0.0.1"},"agentCapabilities":{"loadSession":true,"promptCapabilities":{"image":false,"audio":false,"embeddedContext":false}},"authMethods":[]}}
{"jsonrpc":"2.0","id":2,"result":{"sessionId":"{{sessionId}}","configOptions":[{"id":"model","name":"Model","description":"Sets this session's provider and model.","category":"model","type":"select","currentValue":"[\"deepseek\",\"deepseek-v4-flash\"]","options":[{"value":"[\"deepseek\",\"deepseek-v4-flash\"]","name":"deepseek-v4-flash"},{"value":"[\"deepseek\",\"deepseek-v4-pro\"]","name":"deepseek-v4-pro"}]},{"id":"permission","name":"Permissions","description":"The session permission preset: each choice bundles a sandbox mode and an approval policy.","category":"mode","type":"select","currentValue":"danger-full-access","options":[{"value":"workspace-write","name":"workspace-write","description":"Write inside the workspace and permitted temporary directories; wider retries require approval."},{"value":"danger-full-access","name":"danger-full-access","description":"Full file access without approval prompts."}]}]}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"available_commands_update","availableCommands":[]}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"tool_call","toolCallId":"call_spill","title":"node -e \"process.stdout.write('SPILL_START-' + 'x'.repeat(2000) + '-SPILL_END')\"","kind":"execute","status":"in_progress","rawInput":"node -e \"process.stdout.write('SPILL_START-' + 'x'.repeat(2000) + '-SPILL_END')\"","content":[{"type":"content","content":{"type":"text","text":"Print large deterministic output"}}]}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"tool_call_update","toolCallId":"call_spill","status":"completed","content":[{"type":"content","content":{"type":"text","text":"```console\nSPILL_START-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx-SPILL_END\n\n(Omitted 1417 bytes. Full formatted result stored at: {{spillLocator:bash.txt}}. Use read with offset/limit, or grep this path to search within it.)\n```"}}]}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"agent_message_chunk","content":{"type":"text","text":"DONE"}}}}
@@ -1,5 +1,6 @@
{"jsonrpc":"2.0","id":1,"result":{"protocolVersion":1,"agentInfo":{"name":"deepseek-harness-acp","version":"0.0.1"},"agentCapabilities":{"loadSession":true,"promptCapabilities":{"image":false,"audio":false,"embeddedContext":false}},"authMethods":[]}}
{"jsonrpc":"2.0","id":2,"result":{"sessionId":"{{sessionId}}","configOptions":[{"id":"model","name":"Model","description":"Sets this session's provider and model.","category":"model","type":"select","currentValue":"[\"deepseek\",\"deepseek-v4-flash\"]","options":[{"value":"[\"deepseek\",\"deepseek-v4-flash\"]","name":"deepseek-v4-flash"},{"value":"[\"deepseek\",\"deepseek-v4-pro\"]","name":"deepseek-v4-pro"}]},{"id":"permission","name":"Permissions","description":"The session permission preset: each choice bundles a sandbox mode and an approval policy.","category":"mode","type":"select","currentValue":"danger-full-access","options":[{"value":"workspace-write","name":"workspace-write","description":"Write inside the workspace and permitted temporary directories; wider retries require approval."},{"value":"danger-full-access","name":"danger-full-access","description":"Full file access without approval prompts."}]}]}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"available_commands_update","availableCommands":[]}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"agent_thought_chunk","content":{"type":"text","text":"The"}}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"agent_thought_chunk","content":{"type":"text","text":" user"}}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"agent_thought_chunk","content":{"type":"text","text":" wants"}}}}
@@ -1,5 +1,6 @@
{"jsonrpc":"2.0","id":1,"result":{"protocolVersion":1,"agentInfo":{"name":"deepseek-harness-acp","version":"0.0.1"},"agentCapabilities":{"loadSession":true,"promptCapabilities":{"image":false,"audio":false,"embeddedContext":false}},"authMethods":[]}}
{"jsonrpc":"2.0","id":2,"result":{"sessionId":"{{sessionId}}","configOptions":[{"id":"model","name":"Model","description":"Sets this session's provider and model.","category":"model","type":"select","currentValue":"[\"deepseek\",\"deepseek-v4-flash\"]","options":[{"value":"[\"deepseek\",\"deepseek-v4-flash\"]","name":"deepseek-v4-flash"},{"value":"[\"deepseek\",\"deepseek-v4-pro\"]","name":"deepseek-v4-pro"}]},{"id":"permission","name":"Permissions","description":"The session permission preset: each choice bundles a sandbox mode and an approval policy.","category":"mode","type":"select","currentValue":"danger-full-access","options":[{"value":"workspace-write","name":"workspace-write","description":"Write inside the workspace and permitted temporary directories; wider retries require approval."},{"value":"danger-full-access","name":"danger-full-access","description":"Full file access without approval prompts."}]}]}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"available_commands_update","availableCommands":[]}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"tool_call","toolCallId":"call_wait","title":"node -e \"setInterval(() => {}, 1000)\"","kind":"execute","status":"in_progress","rawInput":"node -e \"setInterval(() => {}, 1000)\"","content":[{"type":"content","content":{"type":"text","text":"Wait until cancellation"}}]}}}
{"jsonrpc":"2.0","id":3,"result":{"stopReason":"cancelled"}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"tool_call_update","toolCallId":"call_wait","status":"failed","content":[{"type":"content","content":{"type":"text","text":"```console\nError: command aborted\n```"}}]}}}
@@ -1,4 +1,5 @@
{"jsonrpc":"2.0","id":1,"result":{"protocolVersion":1,"agentInfo":{"name":"deepseek-harness-acp","version":"0.0.1"},"agentCapabilities":{"loadSession":true,"promptCapabilities":{"image":false,"audio":false,"embeddedContext":false}},"authMethods":[]}}
{"jsonrpc":"2.0","id":2,"result":{"sessionId":"{{sessionId}}","configOptions":[{"id":"model","name":"Model","description":"Sets this session's provider and model.","category":"model","type":"select","currentValue":"[\"deepseek\",\"deepseek-v4-flash\"]","options":[{"value":"[\"deepseek\",\"deepseek-v4-flash\"]","name":"deepseek-v4-flash"},{"value":"[\"deepseek\",\"deepseek-v4-pro\"]","name":"deepseek-v4-pro"}]},{"id":"permission","name":"Permissions","description":"The session permission preset: each choice bundles a sandbox mode and an approval policy.","category":"mode","type":"select","currentValue":"danger-full-access","options":[{"value":"workspace-write","name":"workspace-write","description":"Write inside the workspace and permitted temporary directories; wider retries require approval."},{"value":"danger-full-access","name":"danger-full-access","description":"Full file access without approval prompts."}]}]}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"available_commands_update","availableCommands":[]}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"agent_message_chunk","content":{"type":"text","text":"partial"}}}}
{"jsonrpc":"2.0","id":3,"result":{"stopReason":"cancelled"}}
@@ -1,5 +1,6 @@
{"jsonrpc":"2.0","id":1,"result":{"protocolVersion":1,"agentInfo":{"name":"deepseek-harness-acp","version":"0.0.1"},"agentCapabilities":{"loadSession":true,"promptCapabilities":{"image":false,"audio":false,"embeddedContext":false}},"authMethods":[]}}
{"jsonrpc":"2.0","id":2,"result":{"sessionId":"{{sessionId}}","configOptions":[{"id":"model","name":"Model","description":"Sets this session's provider and model.","category":"model","type":"select","currentValue":"[\"deepseek\",\"deepseek-v4-flash\"]","options":[{"value":"[\"deepseek\",\"deepseek-v4-flash\"]","name":"deepseek-v4-flash"},{"value":"[\"deepseek\",\"deepseek-v4-pro\"]","name":"deepseek-v4-pro"}]},{"id":"permission","name":"Permissions","description":"The session permission preset: each choice bundles a sandbox mode and an approval policy.","category":"mode","type":"select","currentValue":"danger-full-access","options":[{"value":"workspace-write","name":"workspace-write","description":"Write inside the workspace and permitted temporary directories; wider retries require approval."},{"value":"danger-full-access","name":"danger-full-access","description":"Full file access without approval prompts."}]}]}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"available_commands_update","availableCommands":[]}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"agent_thought_chunk","content":{"type":"text","text":"The"}}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"agent_thought_chunk","content":{"type":"text","text":" user"}}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"agent_thought_chunk","content":{"type":"text","text":" wants"}}}}
@@ -1,5 +1,6 @@
{"jsonrpc":"2.0","id":1,"result":{"protocolVersion":1,"agentInfo":{"name":"deepseek-harness-acp","version":"0.0.1"},"agentCapabilities":{"loadSession":true,"promptCapabilities":{"image":false,"audio":false,"embeddedContext":false}},"authMethods":[]}}
{"jsonrpc":"2.0","id":2,"result":{"sessionId":"{{sessionId}}","configOptions":[{"id":"permission","name":"Permissions","description":"The session permission preset: each choice bundles a sandbox mode and an approval policy.","category":"mode","type":"select","currentValue":"danger-full-access","options":[{"value":"workspace-write","name":"workspace-write","description":"Write inside the workspace and permitted temporary directories; wider retries require approval."},{"value":"danger-full-access","name":"danger-full-access","description":"Full file access without approval prompts."}]}]}}
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@@ -1,5 +1,6 @@
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{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"tool_call","toolCallId":"call_read_a","title":"Read a.txt","kind":"read","status":"in_progress","locations":[{"path":"a.txt","line":1}]}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"tool_call","toolCallId":"call_read_b","title":"Read b.txt","kind":"read","status":"in_progress","locations":[{"path":"b.txt","line":1}]}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"tool_call_update","toolCallId":"call_read_a","status":"completed","content":[{"type":"content","content":{"type":"text","text":"<path>{{cwd}}/a.txt</path>\n<type>file</type>\n<content>\n1: alpha\n\n(End of file - total 1 lines)\n</content>"}}]}}}
@@ -1,5 +1,6 @@
{"jsonrpc":"2.0","id":1,"result":{"protocolVersion":1,"agentInfo":{"name":"deepseek-harness-acp","version":"0.0.1"},"agentCapabilities":{"loadSession":true,"promptCapabilities":{"image":false,"audio":false,"embeddedContext":false}},"authMethods":[]}}
{"jsonrpc":"2.0","id":2,"result":{"sessionId":"{{sessionId}}","configOptions":[{"id":"model","name":"Model","description":"Sets this session's provider and model.","category":"model","type":"select","currentValue":"[\"deepseek\",\"deepseek-v4-flash\"]","options":[{"value":"[\"deepseek\",\"deepseek-v4-flash\"]","name":"deepseek-v4-flash"},{"value":"[\"deepseek\",\"deepseek-v4-pro\"]","name":"deepseek-v4-pro"}]},{"id":"permission","name":"Permissions","description":"The session permission preset: each choice bundles a sandbox mode and an approval policy.","category":"mode","type":"select","currentValue":"danger-full-access","options":[{"value":"workspace-write","name":"workspace-write","description":"Write inside the workspace and permitted temporary directories; wider retries require approval."},{"value":"danger-full-access","name":"danger-full-access","description":"Full file access without approval prompts."}]}]}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"available_commands_update","availableCommands":[]}}}
{"jsonrpc":"2.0","id":3,"result":{"configOptions":[{"id":"model","name":"Model","description":"Sets this session's provider and model.","category":"model","type":"select","currentValue":"[\"deepseek\",\"deepseek-v4-flash\"]","options":[{"value":"[\"deepseek\",\"deepseek-v4-flash\"]","name":"deepseek-v4-flash"},{"value":"[\"deepseek\",\"deepseek-v4-pro\"]","name":"deepseek-v4-pro"}]},{"id":"permission","name":"Permissions","description":"The session permission preset: each choice bundles a sandbox mode and an approval policy.","category":"mode","type":"select","currentValue":"workspace-write","options":[{"value":"workspace-write","name":"workspace-write","description":"Write inside the workspace and permitted temporary directories; wider retries require approval."},{"value":"danger-full-access","name":"danger-full-access","description":"Full file access without approval prompts."}]}]}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"agent_thought_chunk","content":{"type":"text","text":"The"}}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"agent_thought_chunk","content":{"type":"text","text":" user"}}}}
@@ -1,5 +1,6 @@
{"jsonrpc":"2.0","id":1,"result":{"protocolVersion":1,"agentInfo":{"name":"deepseek-harness-acp","version":"0.0.1"},"agentCapabilities":{"loadSession":true,"promptCapabilities":{"image":false,"audio":false,"embeddedContext":false}},"authMethods":[]}}
{"jsonrpc":"2.0","id":2,"result":{"sessionId":"{{sessionId}}","configOptions":[{"id":"model","name":"Model","description":"Sets this session's provider and model.","category":"model","type":"select","currentValue":"[\"deepseek\",\"deepseek-v4-flash\"]","options":[{"value":"[\"deepseek\",\"deepseek-v4-flash\"]","name":"deepseek-v4-flash"},{"value":"[\"deepseek\",\"deepseek-v4-pro\"]","name":"deepseek-v4-pro"}]},{"id":"permission","name":"Permissions","description":"The session permission preset: each choice bundles a sandbox mode and an approval policy.","category":"mode","type":"select","currentValue":"danger-full-access","options":[{"value":"workspace-write","name":"workspace-write","description":"Write inside the workspace and permitted temporary directories; wider retries require approval."},{"value":"danger-full-access","name":"danger-full-access","description":"Full file access without approval prompts."}]}]}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"available_commands_update","availableCommands":[]}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"tool_call","toolCallId":"call_1","title":"Update todo list","kind":"other","status":"in_progress","rawInput":[{"content":"watch the kettle boil","status":"in_progress"}]}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"plan","entries":[{"content":"watch the kettle boil","priority":"medium","status":"in_progress"}]}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"tool_call_update","toolCallId":"call_1","status":"completed","content":[{"type":"content","content":{"type":"text","text":"Updated todo list: 0 pending, 1 in progress, 0 completed."}}]}}}
@@ -1,5 +1,6 @@
{"jsonrpc":"2.0","id":1,"result":{"protocolVersion":1,"agentInfo":{"name":"deepseek-harness-acp","version":"0.0.1"},"agentCapabilities":{"loadSession":true,"promptCapabilities":{"image":false,"audio":false,"embeddedContext":false}},"authMethods":[]}}
{"jsonrpc":"2.0","id":2,"result":{"sessionId":"{{sessionId}}","configOptions":[{"id":"model","name":"Model","description":"Sets this session's provider and model.","category":"model","type":"select","currentValue":"[\"deepseek\",\"deepseek-v4-flash\"]","options":[{"value":"[\"deepseek\",\"deepseek-v4-flash\"]","name":"deepseek-v4-flash"},{"value":"[\"deepseek\",\"deepseek-v4-pro\"]","name":"deepseek-v4-pro"}]},{"id":"permission","name":"Permissions","description":"The session permission preset: each choice bundles a sandbox mode and an approval policy.","category":"mode","type":"select","currentValue":"danger-full-access","options":[{"value":"workspace-write","name":"workspace-write","description":"Write inside the workspace and permitted temporary directories; wider retries require approval."},{"value":"danger-full-access","name":"danger-full-access","description":"Full file access without approval prompts."}]}]}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"available_commands_update","availableCommands":[]}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"agent_thought_chunk","content":{"type":"text","text":"Load the requested skill."}}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"tool_call","toolCallId":"call_skill_load","title":"Load skill snapshot-skill","kind":"read","status":"in_progress","rawInput":"snapshot-skill"}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"tool_call_update","toolCallId":"call_skill_load","status":"completed","content":[{"type":"content","content":{"type":"text","text":"<skill_content name=\"snapshot-skill\">\n<skill_resources>\nBase directory for this skill: {{cwd}}/.dsh/skills/snapshot-skill\nResolve relative paths mentioned by this skill against the base directory before using them. Load referenced resources only as needed.\n</skill_resources>\n\n<skill_instructions>\nFollow these snapshot-only instructions.\nResolve referenced resources relative to this skill directory.\n</skill_instructions>\n</skill_content>"}}]}}}
@@ -1,5 +1,6 @@
{"jsonrpc":"2.0","id":1,"result":{"protocolVersion":1,"agentInfo":{"name":"deepseek-harness-acp","version":"0.0.1"},"agentCapabilities":{"loadSession":true,"promptCapabilities":{"image":false,"audio":false,"embeddedContext":false}},"authMethods":[]}}
{"jsonrpc":"2.0","id":2,"result":{"sessionId":"{{sessionId}}","configOptions":[{"id":"model","name":"Model","description":"Sets this session's provider and model.","category":"model","type":"select","currentValue":"[\"deepseek\",\"deepseek-v4-flash\"]","options":[{"value":"[\"deepseek\",\"deepseek-v4-flash\"]","name":"deepseek-v4-flash"},{"value":"[\"deepseek\",\"deepseek-v4-pro\"]","name":"deepseek-v4-pro"}]},{"id":"permission","name":"Permissions","description":"The session permission preset: each choice bundles a sandbox mode and an approval policy.","category":"mode","type":"select","currentValue":"danger-full-access","options":[{"value":"workspace-write","name":"workspace-write","description":"Write inside the workspace and permitted temporary directories; wider retries require approval."},{"value":"danger-full-access","name":"danger-full-access","description":"Full file access without approval prompts."}]}]}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"available_commands_update","availableCommands":[]}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"tool_call","toolCallId":"call_root_child","title":"subagent","kind":"other","status":"in_progress","rawInput":{"description":"Start depth one","prompt":"Call subagent once. Ask that child to attempt one further subagent call, then report the result."}}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"tool_call_update","toolCallId":"call_root_child","status":"completed","content":[{"type":"content","content":{"type":"text","text":"DEPTH_ONE_DONE"}}]}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"agent_message_chunk","content":{"type":"text","text":"ROOT_DONE"}}}}
@@ -1,5 +1,6 @@
{"jsonrpc":"2.0","id":1,"result":{"protocolVersion":1,"agentInfo":{"name":"deepseek-harness-acp","version":"0.0.1"},"agentCapabilities":{"loadSession":true,"promptCapabilities":{"image":false,"audio":false,"embeddedContext":false}},"authMethods":[]}}
{"jsonrpc":"2.0","id":2,"result":{"sessionId":"{{sessionId}}","configOptions":[{"id":"model","name":"Model","description":"Sets this session's provider and model.","category":"model","type":"select","currentValue":"[\"deepseek\",\"deepseek-v4-flash\"]","options":[{"value":"[\"deepseek\",\"deepseek-v4-flash\"]","name":"deepseek-v4-flash"},{"value":"[\"deepseek\",\"deepseek-v4-pro\"]","name":"deepseek-v4-pro"}]},{"id":"permission","name":"Permissions","description":"The session permission preset: each choice bundles a sandbox mode and an approval policy.","category":"mode","type":"select","currentValue":"danger-full-access","options":[{"value":"workspace-write","name":"workspace-write","description":"Write inside the workspace and permitted temporary directories; wider retries require approval."},{"value":"danger-full-access","name":"danger-full-access","description":"Full file access without approval prompts."}]}]}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"available_commands_update","availableCommands":[]}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"agent_thought_chunk","content":{"type":"text","text":"The"}}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"agent_thought_chunk","content":{"type":"text","text":" user"}}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"agent_thought_chunk","content":{"type":"text","text":" wants"}}}}
@@ -1,5 +1,6 @@
{"jsonrpc":"2.0","id":1,"result":{"protocolVersion":1,"agentInfo":{"name":"deepseek-harness-acp","version":"0.0.1"},"agentCapabilities":{"loadSession":true,"promptCapabilities":{"image":false,"audio":false,"embeddedContext":false}},"authMethods":[]}}
{"jsonrpc":"2.0","id":2,"result":{"sessionId":"{{sessionId}}","configOptions":[{"id":"model","name":"Model","description":"Sets this session's provider and model.","category":"model","type":"select","currentValue":"[\"deepseek\",\"deepseek-v4-flash\"]","options":[{"value":"[\"deepseek\",\"deepseek-v4-flash\"]","name":"deepseek-v4-flash"},{"value":"[\"deepseek\",\"deepseek-v4-pro\"]","name":"deepseek-v4-pro"}]},{"id":"permission","name":"Permissions","description":"The session permission preset: each choice bundles a sandbox mode and an approval policy.","category":"mode","type":"select","currentValue":"danger-full-access","options":[{"value":"workspace-write","name":"workspace-write","description":"Write inside the workspace and permitted temporary directories; wider retries require approval."},{"value":"danger-full-access","name":"danger-full-access","description":"Full file access without approval prompts."}]}]}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"available_commands_update","availableCommands":[]}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"agent_thought_chunk","content":{"type":"text","text":"The"}}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"agent_thought_chunk","content":{"type":"text","text":" user"}}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"agent_thought_chunk","content":{"type":"text","text":" wants"}}}}
@@ -1,5 +1,6 @@
{"jsonrpc":"2.0","id":1,"result":{"protocolVersion":1,"agentInfo":{"name":"deepseek-harness-acp","version":"0.0.1"},"agentCapabilities":{"loadSession":true,"promptCapabilities":{"image":false,"audio":false,"embeddedContext":false}},"authMethods":[]}}
{"jsonrpc":"2.0","id":2,"result":{"sessionId":"{{sessionId}}","configOptions":[{"id":"model","name":"Model","description":"Sets this session's provider and model.","category":"model","type":"select","currentValue":"[\"deepseek\",\"deepseek-v4-flash\"]","options":[{"value":"[\"deepseek\",\"deepseek-v4-flash\"]","name":"deepseek-v4-flash"},{"value":"[\"deepseek\",\"deepseek-v4-pro\"]","name":"deepseek-v4-pro"}]},{"id":"permission","name":"Permissions","description":"The session permission preset: each choice bundles a sandbox mode and an approval policy.","category":"mode","type":"select","currentValue":"danger-full-access","options":[{"value":"workspace-write","name":"workspace-write","description":"Write inside the workspace and permitted temporary directories; wider retries require approval."},{"value":"danger-full-access","name":"danger-full-access","description":"Full file access without approval prompts."}]}]}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"available_commands_update","availableCommands":[]}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"agent_thought_chunk","content":{"type":"text","text":"The"}}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"agent_thought_chunk","content":{"type":"text","text":" user"}}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"agent_thought_chunk","content":{"type":"text","text":" wants"}}}}
@@ -1,5 +1,6 @@
{"jsonrpc":"2.0","id":1,"result":{"protocolVersion":1,"agentInfo":{"name":"deepseek-harness-acp","version":"0.0.1"},"agentCapabilities":{"loadSession":true,"promptCapabilities":{"image":false,"audio":false,"embeddedContext":false}},"authMethods":[]}}
{"jsonrpc":"2.0","id":2,"result":{"sessionId":"{{sessionId}}","configOptions":[{"id":"model","name":"Model","description":"Sets this session's provider and model.","category":"model","type":"select","currentValue":"[\"deepseek\",\"deepseek-v4-flash\"]","options":[{"value":"[\"deepseek\",\"deepseek-v4-flash\"]","name":"deepseek-v4-flash"},{"value":"[\"deepseek\",\"deepseek-v4-pro\"]","name":"deepseek-v4-pro"}]},{"id":"permission","name":"Permissions","description":"The session permission preset: each choice bundles a sandbox mode and an approval policy.","category":"mode","type":"select","currentValue":"danger-full-access","options":[{"value":"workspace-write","name":"workspace-write","description":"Write inside the workspace and permitted temporary directories; wider retries require approval."},{"value":"danger-full-access","name":"danger-full-access","description":"Full file access without approval prompts."}]}]}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"available_commands_update","availableCommands":[]}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"agent_thought_chunk","content":{"type":"text","text":"The"}}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"agent_thought_chunk","content":{"type":"text","text":" user"}}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"agent_thought_chunk","content":{"type":"text","text":" wants"}}}}
@@ -1,5 +1,6 @@
{"jsonrpc":"2.0","id":1,"result":{"protocolVersion":1,"agentInfo":{"name":"deepseek-harness-acp","version":"0.0.1"},"agentCapabilities":{"loadSession":true,"promptCapabilities":{"image":false,"audio":false,"embeddedContext":false}},"authMethods":[]}}
{"jsonrpc":"2.0","id":2,"result":{"sessionId":"{{sessionId}}","configOptions":[{"id":"model","name":"Model","description":"Sets this session's provider and model.","category":"model","type":"select","currentValue":"[\"deepseek\",\"deepseek-v4-flash\"]","options":[{"value":"[\"deepseek\",\"deepseek-v4-flash\"]","name":"deepseek-v4-flash"},{"value":"[\"deepseek\",\"deepseek-v4-pro\"]","name":"deepseek-v4-pro"}]},{"id":"permission","name":"Permissions","description":"The session permission preset: each choice bundles a sandbox mode and an approval policy.","category":"mode","type":"select","currentValue":"danger-full-access","options":[{"value":"workspace-write","name":"workspace-write","description":"Write inside the workspace and permitted temporary directories; wider retries require approval."},{"value":"danger-full-access","name":"danger-full-access","description":"Full file access without approval prompts."}]}]}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"available_commands_update","availableCommands":[]}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"agent_thought_chunk","content":{"type":"text","text":"The"}}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"agent_thought_chunk","content":{"type":"text","text":" user"}}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"agent_thought_chunk","content":{"type":"text","text":" wants"}}}}
@@ -1,5 +1,6 @@
{"jsonrpc":"2.0","id":1,"result":{"protocolVersion":1,"agentInfo":{"name":"deepseek-harness-acp","version":"0.0.1"},"agentCapabilities":{"loadSession":true,"promptCapabilities":{"image":false,"audio":false,"embeddedContext":false}},"authMethods":[]}}
{"jsonrpc":"2.0","id":2,"result":{"sessionId":"{{sessionId}}","configOptions":[{"id":"model","name":"Model","description":"Sets this session's provider and model.","category":"model","type":"select","currentValue":"[\"deepseek\",\"deepseek-v4-flash\"]","options":[{"value":"[\"deepseek\",\"deepseek-v4-flash\"]","name":"deepseek-v4-flash"},{"value":"[\"deepseek\",\"deepseek-v4-pro\"]","name":"deepseek-v4-pro"}]},{"id":"permission","name":"Permissions","description":"The session permission preset: each choice bundles a sandbox mode and an approval policy.","category":"mode","type":"select","currentValue":"danger-full-access","options":[{"value":"workspace-write","name":"workspace-write","description":"Write inside the workspace and permitted temporary directories; wider retries require approval."},{"value":"danger-full-access","name":"danger-full-access","description":"Full file access without approval prompts."}]}]}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"available_commands_update","availableCommands":[]}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"agent_thought_chunk","content":{"type":"text","text":"The"}}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"agent_thought_chunk","content":{"type":"text","text":" user"}}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"agent_thought_chunk","content":{"type":"text","text":" wants"}}}}
@@ -1,5 +1,6 @@
{"jsonrpc":"2.0","id":1,"result":{"protocolVersion":1,"agentInfo":{"name":"deepseek-harness-acp","version":"0.0.1"},"agentCapabilities":{"loadSession":true,"promptCapabilities":{"image":false,"audio":false,"embeddedContext":false}},"authMethods":[]}}
{"jsonrpc":"2.0","id":2,"result":{"sessionId":"{{sessionId}}","configOptions":[{"id":"model","name":"Model","description":"Sets this session's provider and model.","category":"model","type":"select","currentValue":"[\"deepseek\",\"deepseek-v4-flash\"]","options":[{"value":"[\"deepseek\",\"deepseek-v4-flash\"]","name":"deepseek-v4-flash"},{"value":"[\"deepseek\",\"deepseek-v4-pro\"]","name":"deepseek-v4-pro"}]},{"id":"permission","name":"Permissions","description":"The session permission preset: each choice bundles a sandbox mode and an approval policy.","category":"mode","type":"select","currentValue":"danger-full-access","options":[{"value":"workspace-write","name":"workspace-write","description":"Write inside the workspace and permitted temporary directories; wider retries require approval."},{"value":"danger-full-access","name":"danger-full-access","description":"Full file access without approval prompts."}]}]}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"available_commands_update","availableCommands":[]}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"agent_thought_chunk","content":{"type":"text","text":"The"}}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"agent_thought_chunk","content":{"type":"text","text":" user"}}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"agent_thought_chunk","content":{"type":"text","text":" wants"}}}}
@@ -1,5 +1,6 @@
{"jsonrpc":"2.0","id":1,"result":{"protocolVersion":1,"agentInfo":{"name":"deepseek-harness-acp","version":"0.0.1"},"agentCapabilities":{"loadSession":true,"promptCapabilities":{"image":false,"audio":false,"embeddedContext":false}},"authMethods":[]}}
{"jsonrpc":"2.0","id":2,"result":{"sessionId":"{{sessionId}}","configOptions":[{"id":"model","name":"Model","description":"Sets this session's provider and model.","category":"model","type":"select","currentValue":"[\"deepseek\",\"deepseek-v4-flash\"]","options":[{"value":"[\"deepseek\",\"deepseek-v4-flash\"]","name":"deepseek-v4-flash"},{"value":"[\"deepseek\",\"deepseek-v4-pro\"]","name":"deepseek-v4-pro"}]},{"id":"permission","name":"Permissions","description":"The session permission preset: each choice bundles a sandbox mode and an approval policy.","category":"mode","type":"select","currentValue":"danger-full-access","options":[{"value":"workspace-write","name":"workspace-write","description":"Write inside the workspace and permitted temporary directories; wider retries require approval."},{"value":"danger-full-access","name":"danger-full-access","description":"Full file access without approval prompts."}]}]}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"available_commands_update","availableCommands":[]}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"agent_thought_chunk","content":{"type":"text","text":"The"}}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"agent_thought_chunk","content":{"type":"text","text":" user"}}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"agent_thought_chunk","content":{"type":"text","text":" wants"}}}}
@@ -1,5 +1,6 @@
{"jsonrpc":"2.0","id":1,"result":{"protocolVersion":1,"agentInfo":{"name":"deepseek-harness-acp","version":"0.0.1"},"agentCapabilities":{"loadSession":true,"promptCapabilities":{"image":false,"audio":false,"embeddedContext":false}},"authMethods":[]}}
{"jsonrpc":"2.0","id":2,"result":{"sessionId":"{{sessionId}}","configOptions":[{"id":"permission","name":"Permissions","description":"The session permission preset: each choice bundles a sandbox mode and an approval policy.","category":"mode","type":"select","currentValue":"danger-full-access","options":[{"value":"workspace-write","name":"workspace-write","description":"Write inside the workspace and permitted temporary directories; wider retries require approval."},{"value":"danger-full-access","name":"danger-full-access","description":"Full file access without approval prompts."}]}]}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"available_commands_update","availableCommands":[]}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"tool_call","toolCallId":"call_workspace_read","title":"Read nested/task.txt","kind":"read","status":"in_progress","locations":[{"path":"nested/task.txt","line":1}]}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"tool_call_update","toolCallId":"call_workspace_read","status":"completed","content":[{"type":"content","content":{"type":"text","text":"<path>{{cwd}}/nested/task.txt</path>\n<type>file</type>\n<content>\n1: snapshot task\n\n(End of file - total 1 lines)\n</content>"}}]}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"agent_message_chunk","content":{"type":"text","text":"DONE"}}}}
@@ -1,5 +1,6 @@
{"jsonrpc":"2.0","id":1,"result":{"protocolVersion":1,"agentInfo":{"name":"deepseek-harness-acp","version":"0.0.1"},"agentCapabilities":{"loadSession":true,"promptCapabilities":{"image":false,"audio":false,"embeddedContext":false}},"authMethods":[]}}
{"jsonrpc":"2.0","id":2,"result":{"sessionId":"{{sessionId}}","configOptions":[{"id":"model","name":"Model","description":"Sets this session's provider and model.","category":"model","type":"select","currentValue":"[\"deepseek\",\"deepseek-v4-flash\"]","options":[{"value":"[\"deepseek\",\"deepseek-v4-flash\"]","name":"deepseek-v4-flash"},{"value":"[\"deepseek\",\"deepseek-v4-pro\"]","name":"deepseek-v4-pro"}]},{"id":"permission","name":"Permissions","description":"The session permission preset: each choice bundles a sandbox mode and an approval policy.","category":"mode","type":"select","currentValue":"danger-full-access","options":[{"value":"workspace-write","name":"workspace-write","description":"Write inside the workspace and permitted temporary directories; wider retries require approval."},{"value":"danger-full-access","name":"danger-full-access","description":"Full file access without approval prompts."}]}]}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"available_commands_update","availableCommands":[]}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"agent_thought_chunk","content":{"type":"text","text":"The"}}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"agent_thought_chunk","content":{"type":"text","text":" user"}}}}
{"jsonrpc":"2.0","method":"session/update","params":{"sessionId":"{{sessionId}}","update":{"sessionUpdate":"agent_thought_chunk","content":{"type":"text","text":" wants"}}}}
@@ -0,0 +1,12 @@
# Replay counterpart to goal.cordis.yml; only the live model is replaced.
- id: base
name: '@cordisjs/plugin-include'
config:
path: ./goal.cordis.yml
patches:
- id: llm-deepseek
name: '@deepseek-ai/dsh-llm-deepseek'
disabled: true
- insert:
- id: llm-replay
name: '@deepseek-ai/dsh-llm-replay'
+11
View File
@@ -0,0 +1,11 @@
# Add the persisted goal domain and its model-facing tools to the real one-shot app.
- id: base
name: '@cordisjs/plugin-include'
config:
path: ./cordis.yml
patches:
- insert:
- id: goal
name: '@deepseek-ai/dsh-goal'
- id: tool-goal
name: '@deepseek-ai/dsh-tool-goal'
@@ -0,0 +1,24 @@
# Test-only composition: create one goal through a Loader-mounted step consumer.
- id: cli-mock-llm
name: '../cli-mock-llm.ts'
- id: bash
name: '@deepseek-ai/dsh-bash-local'
- id: goal
name: '@deepseek-ai/dsh-goal'
config:
defaultMaxGoalRounds: 11
- id: seed-goal
name: './seed-goal.ts'
- id: cli-agent
name: '@deepseek-ai/dsh-cli-demo'
config:
provider: cli-mock
model: cli-mock
persona: 'Test the persisted goal domain.'
persistenceRoot: './.sessions'
persistenceCompression: none
workspaceContext: false
@@ -0,0 +1,17 @@
/** Test-only Loader plugin that creates a goal at the first real step edge. */
import type { Context } from 'cordis'
import type {} from '@deepseek-ai/dsh-goal'
export const name = 'seed-goal'
export const inject = ['goals']
export function apply(ctx: Context): void {
ctx.on('agent/pre-step', (agent) => {
if (ctx.goals.get(agent) !== undefined) return
ctx.goals.create(agent, {
objective: 'Prove the composed goal survives in the session log',
maxGoalRounds: 7,
})
})
}
@@ -11,10 +11,12 @@ import { LOADER_SMOKE_TEST_TIMEOUT_MS, runLoaderSmoke } from '@deepseek-ai/dsh-l
import { describe, expect, it } from 'vitest'
const snapshotsDir = join(dirname(fileURLToPath(import.meta.url)), 'snapshots')
const scenarioDir = join(snapshotsDir, 'advanced-toolchain')
const sessionFixture = join(scenarioDir, 'session.jsonl')
const streamExpected = join(scenarioDir, 'stream-json.expected.jsonl')
const configPath = fileURLToPath(new URL('../advanced.cordis.snapshot.yml', import.meta.url))
const advancedScenarioDir = join(snapshotsDir, 'advanced-toolchain')
const advancedSessionFixture = join(advancedScenarioDir, 'session.jsonl')
const advancedStreamExpected = join(advancedScenarioDir, 'stream-json.expected.jsonl')
const advancedConfigPath = fileURLToPath(new URL('../advanced.cordis.snapshot.yml', import.meta.url))
const goalScenarioDir = join(snapshotsDir, 'goal-tools')
const goalConfigPath = fileURLToPath(new URL('../goal.cordis.snapshot.yml', import.meta.url))
const binScript = fileURLToPath(new URL('../../../packages/examples/cli-demo/src/bin.ts', import.meta.url))
const tsconfigPath = fileURLToPath(new URL('../../../tsconfig.json', import.meta.url))
const refreshing = process.env.DSH_SNAPSHOT === 'refresh'
@@ -70,12 +72,36 @@ function normalizeHeadlessStream(rawStdout: string, cwd: string): string {
return normalizeStdout(`${normalizedRecords.map(record => JSON.stringify(record)).join('\n')}\n`, context)
}
async function advancedPrompt(): Promise<string> {
const input = JSON.parse(await readFile(join(scenarioDir, 'input.json'), 'utf8')) as {
/** Zero durable goal timestamps inside both metadata records and rendered XML JSON. */
function normalizeGoalTimestamps(value: unknown): unknown {
if (typeof value === 'string') {
return value.replace(/("(?:createdAt|updatedAt|clearedAt)":)\d+/g, '$10')
}
if (Array.isArray(value)) return value.map(normalizeGoalTimestamps)
if (value !== null && typeof value === 'object') {
return Object.fromEntries(Object.entries(value).map(([key, item]) => [
key,
['createdAt', 'updatedAt', 'clearedAt'].includes(key) && typeof item === 'number'
? 0
: normalizeGoalTimestamps(item),
]))
}
return value
}
/** Normalize the stream's durable goal timestamps after the shared scrubbers. */
function normalizeGoalStream(rawStdout: string, cwd: string): string {
return parseJsonl(normalizeHeadlessStream(rawStdout, cwd))
.map(record => JSON.stringify(normalizeGoalTimestamps(record)))
.join('\n') + '\n'
}
async function scenarioPrompt(dir: string, label: string): Promise<string> {
const input = JSON.parse(await readFile(join(dir, 'input.json'), 'utf8')) as {
steps?: { op?: unknown; text?: unknown }[]
}
const prompt = input.steps?.find(step => step.op === 'prompt')?.text
if (typeof prompt !== 'string') throw new Error('advanced-toolchain input has no prompt step')
if (typeof prompt !== 'string') throw new Error(`${label} input has no prompt step`)
return prompt
}
@@ -90,24 +116,27 @@ async function persistedLogs(cwd: string): Promise<PersistedLog[]> {
describe('headless stream-json snapshots', () => {
it('replays the advanced toolchain through the one-shot app', async () => {
const prompt = await advancedPrompt()
const prompt = await scenarioPrompt(advancedScenarioDir, 'advanced-toolchain')
const expectedSessions = await Promise.all([
sessionFixture,
join(scenarioDir, 'session.1.jsonl'),
join(scenarioDir, 'session.2.jsonl'),
advancedSessionFixture,
join(advancedScenarioDir, 'session.1.jsonl'),
join(advancedScenarioDir, 'session.2.jsonl'),
].map(file => readFile(file, 'utf8')))
let runCwd = ''
const result = await runLoaderSmoke({
label: 'advanced headless stream-json snapshot',
tempDirPrefix: 'headless-snapshot-advanced-',
binScript,
configPath,
binArgs: ['--config', configPath, '--output-format', 'stream-json', prompt],
configPath: advancedConfigPath,
binArgs: ['--config', advancedConfigPath, '--output-format', 'stream-json', prompt],
tsconfigPath,
env: {
DSH_SNAPSHOT: 'replay',
DSH_SNAPSHOT_FILE: sessionFixture,
DSH_SNAPSHOT_CHILD_FILES: [join(scenarioDir, 'session.1.jsonl'), join(scenarioDir, 'session.2.jsonl')].join(delimiter),
DSH_SNAPSHOT_FILE: advancedSessionFixture,
DSH_SNAPSHOT_CHILD_FILES: [
join(advancedScenarioDir, 'session.1.jsonl'),
join(advancedScenarioDir, 'session.2.jsonl'),
].join(delimiter),
NODE_OPTIONS: [process.env.NODE_OPTIONS, '--disable-warning=ExperimentalWarning'].filter(Boolean).join(' '),
},
prepare: (cwd) => { runCwd = cwd },
@@ -134,6 +163,56 @@ describe('headless stream-json snapshots', () => {
expect(result.stderr).toBe('')
const normalized = normalizeHeadlessStream(result.stdout, runCwd)
if (refreshing) await writeFile(advancedStreamExpected, normalized)
expect(normalized).toBe(await readFile(advancedStreamExpected, 'utf8'))
}, LOADER_SMOKE_TEST_TIMEOUT_MS)
it('replays persisted goal tools through the one-shot app', async () => {
const prompt = await scenarioPrompt(goalScenarioDir, 'goal-tools')
const streamExpected = join(goalScenarioDir, 'stream-json.expected.jsonl')
let runCwd = ''
const result = await runLoaderSmoke({
label: 'goal tools headless stream-json snapshot',
tempDirPrefix: 'headless-snapshot-goal-tools-',
binScript,
configPath: goalConfigPath,
binArgs: ['--config', goalConfigPath, '--output-format', 'stream-json', prompt],
tsconfigPath,
env: {
DSH_SNAPSHOT: 'replay',
DSH_SNAPSHOT_FILE: join(goalScenarioDir, 'session.jsonl'),
DSH_SNAPSHOT_OVERRIDE: join(goalScenarioDir, 'replay.override.json'),
NODE_OPTIONS: [process.env.NODE_OPTIONS, '--disable-warning=ExperimentalWarning'].filter(Boolean).join(' '),
},
prepare: (cwd) => { runCwd = cwd },
inspect: async (cwd) => {
const logs = await persistedLogs(cwd)
expect(logs).toHaveLength(1)
const records = parseJsonl(logs[0]?.content ?? '')
const calls = records.filter(record => record.type === 'tool/call')
.map(record => (record.data as JsonObject | undefined)?.name)
expect(calls).toEqual(['create_goal', 'get_goal'])
const goalChanges = records.filter((record) => {
if (record.type !== 'context/message') return false
const data = record.data as JsonObject | undefined
const meta = data?.meta as JsonObject | undefined
return meta?.kind === 'goal/change'
})
expect(goalChanges).toHaveLength(1)
const data = goalChanges[0]?.data as JsonObject | undefined
const meta = data?.meta as JsonObject | undefined
const goal = meta?.goal as JsonObject | undefined
expect(meta?.operation).toBe('create')
expect(goal).toMatchObject({
objective: 'Finish the headless goal-tool snapshot proof',
phase: 'active',
maxGoalRounds: 7,
})
},
})
expect(result.stderr).toBe('')
const normalized = normalizeGoalStream(result.stdout, runCwd)
if (refreshing) await writeFile(streamExpected, normalized)
expect(normalized).toBe(await readFile(streamExpected, 'utf8'))
}, LOADER_SMOKE_TEST_TIMEOUT_MS)
@@ -0,0 +1,8 @@
{
"steps": [
{
"op": "prompt",
"text": "Create a durable goal to finish the snapshot proof, then inspect it."
}
]
}
@@ -0,0 +1,32 @@
[
{
"kind": "chunks",
"chunks": [
{ "type": "block-start", "index": 0, "blockType": "tool-call" },
{ "type": "tool-call-delta", "index": 0, "id": "call_goal_create", "name": "create_goal", "argumentsDelta": "{\"objective\":\"Finish the headless goal-tool snapshot proof\",\"max_goal_rounds\":7}" },
{ "type": "block-end", "index": 0, "block": { "type": "tool-call", "id": "call_goal_create", "name": "create_goal", "arguments": "{\"objective\":\"Finish the headless goal-tool snapshot proof\",\"max_goal_rounds\":7}" } },
{ "type": "usage", "usage": { "inputTokens": 20, "outputTokens": 8 } },
{ "type": "finish", "reason": { "kind": "tool-calls" } }
]
},
{
"kind": "chunks",
"chunks": [
{ "type": "block-start", "index": 0, "blockType": "tool-call" },
{ "type": "tool-call-delta", "index": 0, "id": "call_goal_get", "name": "get_goal", "argumentsDelta": "{}" },
{ "type": "block-end", "index": 0, "block": { "type": "tool-call", "id": "call_goal_get", "name": "get_goal", "arguments": "{}" } },
{ "type": "usage", "usage": { "inputTokens": 30, "outputTokens": 4 } },
{ "type": "finish", "reason": { "kind": "tool-calls" } }
]
},
{
"kind": "chunks",
"chunks": [
{ "type": "block-start", "index": 0, "blockType": "text" },
{ "type": "text-delta", "index": 0, "text": "GOAL READY" },
{ "type": "block-end", "index": 0, "block": { "type": "text", "text": "GOAL READY" } },
{ "type": "usage", "usage": { "inputTokens": 35, "outputTokens": 2 } },
{ "type": "finish", "reason": { "kind": "stop" } }
]
}
]
@@ -0,0 +1,34 @@
{"type":"session_event","sessionId":"{{sessionId}}","event":{"type":"turn/start","seq":0,"time":0,"data":{"turn":1,"trigger":{"kind":"message","source":{"kind":"user"}}}}}
{"type":"session_event","sessionId":"{{sessionId}}","event":{"type":"user/message","seq":1,"time":0,"data":{"content":[{"type":"text","text":"Create a durable goal to finish the snapshot proof, then inspect it."}],"source":{"kind":"user"}},"surfaceOp":"append"}}
{"type":"session_event","sessionId":"{{sessionId}}","event":{"type":"step/start","seq":2,"time":0,"data":{"turn":1,"step":1}}}
{"type":"session_event","sessionId":"{{sessionId}}","event":{"type":"request/header","seq":3,"time":0,"data":{"header":{"config":{"provider":"deepseek","model":"deepseek-v4-flash"},"system":"{{system}}","tools":"{{tools}}"},"reason":"initial"}}}
{"type":"session_event","sessionId":"{{sessionId}}","event":{"type":"assistant/chunk","seq":4,"time":0,"data":{"turn":1,"step":1,"chunk":{"type":"block-start","index":0,"blockType":"tool-call"}}}}
{"type":"session_event","sessionId":"{{sessionId}}","event":{"type":"assistant/chunk","seq":5,"time":0,"data":{"turn":1,"step":1,"chunk":{"type":"tool-call-delta","index":0,"id":"call_goal_create","name":"create_goal","argumentsDelta":"{\"objective\":\"Finish the headless goal-tool snapshot proof\",\"max_goal_rounds\":7}"}}}}
{"type":"session_event","sessionId":"{{sessionId}}","event":{"type":"assistant/chunk","seq":6,"time":0,"data":{"turn":1,"step":1,"chunk":{"type":"block-end","index":0,"block":{"type":"tool-call","id":"call_goal_create","name":"create_goal","arguments":"{\"objective\":\"Finish the headless goal-tool snapshot proof\",\"max_goal_rounds\":7}"}}}}}
{"type":"session_event","sessionId":"{{sessionId}}","event":{"type":"assistant/chunk","seq":7,"time":0,"data":{"turn":1,"step":1,"chunk":{"type":"usage","usage":{"inputTokens":20,"outputTokens":8}}}}}
{"type":"session_event","sessionId":"{{sessionId}}","event":{"type":"assistant/chunk","seq":8,"time":0,"data":{"turn":1,"step":1,"chunk":{"type":"finish","reason":{"kind":"tool-calls"}}}}}
{"type":"session_event","sessionId":"{{sessionId}}","event":{"type":"assistant/message","seq":9,"time":0,"data":{"turn":1,"step":1,"content":[{"type":"tool-call","id":"call_goal_create","name":"create_goal","arguments":"{\"objective\":\"Finish the headless goal-tool snapshot proof\",\"max_goal_rounds\":7}"}],"provenance":{"provider":"deepseek","model":"deepseek-v4-flash"},"usage":{"inputTokens":20,"outputTokens":8}},"sourceEventSeqs":[4,5,6,7,8],"surfaceOp":"append"}}
{"type":"session_event","sessionId":"{{sessionId}}","event":{"type":"tool/call","seq":10,"time":0,"data":{"turn":1,"step":1,"callId":"call_goal_create","name":"create_goal","arguments":"{\"objective\":\"Finish the headless goal-tool snapshot proof\",\"max_goal_rounds\":7}"}}}
{"type":"session_event","sessionId":"{{sessionId}}","event":{"type":"tool/result","seq":11,"time":0,"data":{"turn":1,"step":1,"callId":"call_goal_create","content":[{"type":"text","text":"{\"goal\":{\"id\":\"goal-{{sessionId}}\",\"revision\":1,\"objective\":\"Finish the headless goal-tool snapshot proof\",\"phase\":\"active\",\"roundsStarted\":0,\"maxGoalRounds\":7},\"activation\":\"armed\"}"}],"isError":false},"sourceEventSeqs":[10],"surfaceOp":"append"}}
{"type":"session_event","sessionId":"{{sessionId}}","event":{"type":"context/message","seq":12,"time":0,"data":{"content":[{"type":"text","text":"<goal_state>{\"goal\":{\"id\":\"goal-{{sessionId}}\",\"revision\":1,\"objective\":\"Finish the headless goal-tool snapshot proof\",\"phase\":\"active\",\"maxGoalRounds\":7},\"roundsStarted\":0,\"createdAt\":0,\"updatedAt\":0}</goal_state>"}],"source":{"kind":"goal","goalId":"goal-{{sessionId}}","revision":1,"round":0},"meta":{"kind":"goal/change","version":1,"operation":"create","goal":{"id":"goal-{{sessionId}}","revision":1,"objective":"Finish the headless goal-tool snapshot proof","phase":"active","maxGoalRounds":7},"roundsStarted":0,"createdAt":0,"updatedAt":0}},"surfaceOp":"append"}}
{"type":"session_event","sessionId":"{{sessionId}}","event":{"type":"step/end","seq":13,"time":0,"data":{"turn":1,"step":1}}}
{"type":"session_event","sessionId":"{{sessionId}}","event":{"type":"step/start","seq":14,"time":0,"data":{"turn":1,"step":2}}}
{"type":"session_event","sessionId":"{{sessionId}}","event":{"type":"assistant/chunk","seq":15,"time":0,"data":{"turn":1,"step":2,"chunk":{"type":"block-start","index":0,"blockType":"tool-call"}}}}
{"type":"session_event","sessionId":"{{sessionId}}","event":{"type":"assistant/chunk","seq":16,"time":0,"data":{"turn":1,"step":2,"chunk":{"type":"tool-call-delta","index":0,"id":"call_goal_get","name":"get_goal","argumentsDelta":"{}"}}}}
{"type":"session_event","sessionId":"{{sessionId}}","event":{"type":"assistant/chunk","seq":17,"time":0,"data":{"turn":1,"step":2,"chunk":{"type":"block-end","index":0,"block":{"type":"tool-call","id":"call_goal_get","name":"get_goal","arguments":"{}"}}}}}
{"type":"session_event","sessionId":"{{sessionId}}","event":{"type":"assistant/chunk","seq":18,"time":0,"data":{"turn":1,"step":2,"chunk":{"type":"usage","usage":{"inputTokens":30,"outputTokens":4}}}}}
{"type":"session_event","sessionId":"{{sessionId}}","event":{"type":"assistant/chunk","seq":19,"time":0,"data":{"turn":1,"step":2,"chunk":{"type":"finish","reason":{"kind":"tool-calls"}}}}}
{"type":"session_event","sessionId":"{{sessionId}}","event":{"type":"assistant/message","seq":20,"time":0,"data":{"turn":1,"step":2,"content":[{"type":"tool-call","id":"call_goal_get","name":"get_goal","arguments":"{}"}],"provenance":{"provider":"deepseek","model":"deepseek-v4-flash"},"usage":{"inputTokens":30,"outputTokens":4}},"sourceEventSeqs":[15,16,17,18,19],"surfaceOp":"append"}}
{"type":"session_event","sessionId":"{{sessionId}}","event":{"type":"tool/call","seq":21,"time":0,"data":{"turn":1,"step":2,"callId":"call_goal_get","name":"get_goal","arguments":"{}"}}}
{"type":"session_event","sessionId":"{{sessionId}}","event":{"type":"tool/result","seq":22,"time":0,"data":{"turn":1,"step":2,"callId":"call_goal_get","content":[{"type":"text","text":"{\"goal\":{\"id\":\"goal-{{sessionId}}\",\"revision\":1,\"objective\":\"Finish the headless goal-tool snapshot proof\",\"phase\":\"active\",\"roundsStarted\":0,\"maxGoalRounds\":7},\"activation\":\"armed\"}"}],"isError":false},"sourceEventSeqs":[21],"surfaceOp":"append"}}
{"type":"session_event","sessionId":"{{sessionId}}","event":{"type":"step/end","seq":23,"time":0,"data":{"turn":1,"step":2}}}
{"type":"session_event","sessionId":"{{sessionId}}","event":{"type":"step/start","seq":24,"time":0,"data":{"turn":1,"step":3}}}
{"type":"session_event","sessionId":"{{sessionId}}","event":{"type":"assistant/chunk","seq":25,"time":0,"data":{"turn":1,"step":3,"chunk":{"type":"block-start","index":0,"blockType":"text"}}}}
{"type":"session_event","sessionId":"{{sessionId}}","event":{"type":"assistant/chunk","seq":26,"time":0,"data":{"turn":1,"step":3,"chunk":{"type":"text-delta","index":0,"text":"GOAL READY"}}}}
{"type":"session_event","sessionId":"{{sessionId}}","event":{"type":"assistant/chunk","seq":27,"time":0,"data":{"turn":1,"step":3,"chunk":{"type":"block-end","index":0,"block":{"type":"text","text":"GOAL READY"}}}}}
{"type":"session_event","sessionId":"{{sessionId}}","event":{"type":"assistant/chunk","seq":28,"time":0,"data":{"turn":1,"step":3,"chunk":{"type":"usage","usage":{"inputTokens":35,"outputTokens":2}}}}}
{"type":"session_event","sessionId":"{{sessionId}}","event":{"type":"assistant/chunk","seq":29,"time":0,"data":{"turn":1,"step":3,"chunk":{"type":"finish","reason":{"kind":"stop"}}}}}
{"type":"session_event","sessionId":"{{sessionId}}","event":{"type":"assistant/message","seq":30,"time":0,"data":{"turn":1,"step":3,"content":[{"type":"text","text":"GOAL READY"}],"provenance":{"provider":"deepseek","model":"deepseek-v4-flash"},"usage":{"inputTokens":35,"outputTokens":2}},"sourceEventSeqs":[25,26,27,28,29],"surfaceOp":"append"}}
{"type":"session_event","sessionId":"{{sessionId}}","event":{"type":"step/end","seq":31,"time":0,"data":{"turn":1,"step":3}}}
{"type":"session_event","sessionId":"{{sessionId}}","event":{"type":"turn/end","seq":32,"time":0,"data":{"turn":1,"reason":{"kind":"completed"}}}}
{"type":"result","success":true,"sessionId":"{{sessionId}}","turn":1,"result":"GOAL READY","reason":{"kind":"completed"},"usage":{"inputTokens":85,"outputTokens":14}}
+3
View File
@@ -19,6 +19,8 @@
"@deepseek-ai/dsh-fs-local": "workspace:*",
"@deepseek-ai/dsh-fs-policy": "workspace:*",
"@deepseek-ai/dsh-fs-sandbox": "workspace:^",
"@deepseek-ai/dsh-goal": "workspace:*",
"@deepseek-ai/dsh-goal-session": "workspace:*",
"@deepseek-ai/dsh-hooks-claude": "workspace:*",
"@deepseek-ai/dsh-hooks-codex": "workspace:*",
"@deepseek-ai/dsh-jsonrpc": "workspace:*",
@@ -42,6 +44,7 @@
"@deepseek-ai/dsh-tool-cordis": "workspace:*",
"@deepseek-ai/dsh-tool-fs": "workspace:*",
"@deepseek-ai/dsh-tool-fs-search": "workspace:*",
"@deepseek-ai/dsh-tool-goal": "workspace:*",
"@deepseek-ai/dsh-tool-subagent": "workspace:*",
"@deepseek-ai/dsh-tool-todo": "workspace:*",
"@deepseek-ai/dsh-tool-workflow": "workspace:*",
+2
View File
@@ -9,6 +9,7 @@ import type { Agent } from '@deepseek-ai/dsh-agent'
import * as AgentCore from '@deepseek-ai/dsh-agent-spine-demo'
import { LocalBashExecutor } from '@deepseek-ai/dsh-bash-local'
import WorkerCodeRuntime from '@deepseek-ai/dsh-code-runtime-worker'
import CommandService from '@deepseek-ai/dsh-commands'
import LocalFileSystem from '@deepseek-ai/dsh-fs-local'
import * as FsPolicy from '@deepseek-ai/dsh-fs-policy'
import * as ToolFs from '@deepseek-ai/dsh-tool-fs'
@@ -179,6 +180,7 @@ async function mountScenarioContext(
await ctx.plugin(ToolSubagent, { provider: 'spawn', toolName: 'subagent', enableRunInBackground: false })
await ctx.plugin(WorkerWorkflowEngine, { provider: 'spawn' })
await ctx.plugin(ToolWorkflow)
await ctx.plugin(CommandService)
if (scenario.composition === 'code' || scenario.composition === 'advanced') {
await ctx.plugin(WorkerCodeRuntime, {})
}
+17
View File
@@ -10,6 +10,7 @@
"examples": {
"entry": [
"headless-agent/tests/fixtures/cli-mock-llm.ts",
"headless-agent/tests/fixtures/goal-domain/seed-goal.ts",
"headless-agent/tests/fixtures/time-context-driver.ts",
"headless-agent/tests/fixtures/time-context-mock-llm.ts",
"tui-agent/tests/fixtures/tui-scripted-llm.ts",
@@ -77,6 +78,18 @@
"entry": ["tests/**/*.spec.ts", "tests/**/*.e2e.ts"],
"project": ["src/**/*.ts", "tests/**/*.ts"]
},
"packages/goal/goal": {
"entry": ["tests/**/*.spec.ts", "tests/**/*.e2e.ts"],
"project": ["src/**/*.ts", "tests/**/*.ts"]
},
"packages/goal/goal-session": {
"entry": ["tests/**/*.spec.ts"],
"project": ["src/**/*.ts", "tests/**/*.ts"]
},
"packages/goal/tool-goal": {
"entry": ["tests/**/*.spec.ts"],
"project": ["src/**/*.ts", "tests/**/*.ts"]
},
"packages/code-runtime/code-runtime-worker": {
"entry": ["tests/**/*.spec.ts", "tests/**/*.e2e.ts"],
"project": ["src/**/*.ts", "tests/**/*.ts"]
@@ -126,6 +139,10 @@
"entry": ["tests/**/*.spec.ts", "tests/**/*.e2e.ts"],
"project": ["src/**/*.ts", "tests/**/*.ts"]
},
"packages/ui/commands": {
"entry": ["tests/**/*.spec.ts"],
"project": ["src/**/*.ts", "tests/**/*.ts"]
},
"packages/examples/tui-demo": {
"entry": ["tests/**/*.spec.ts"],
"project": ["src/**/*.ts", "tests/**/*.ts"]
+1
View File
@@ -9,6 +9,7 @@ Packages live at `packages/<group>/<pkg>/`; groups are containers, while names r
| Group | Role | Release expectation |
|---|---|---|
| [`core/`](core/README.md) | Product API spine: sessions, prompts, tools, agent services, and the concrete loop | Product — stable surface |
| [`goal/`](goal/README.md) | Persisted same-session goal state and lifecycle | Product — stable surface |
| [`llm/`](llm/README.md) | LLM capability family: the abstract service + provider adapters | Product — stable surface |
| [`bash/`](bash/README.md) | Bash capability family: the executor seam, a local impl, and the model-facing tool | Product — stable surface |
| [`code-runtime/`](code-runtime/README.md) | Code-execution capability family: the abstract runtime seam for model-written programs + a worker-thread backend | Product — stable surface |
@@ -198,6 +198,28 @@ export const SERVICE_API: readonly ServiceApiEntry[] = [
},
],
},
{
key: 'commands',
summary: 'Human-command registry.',
methods: [
{
signature: 'register(definition: CommandDefinition): () => void',
jsDoc: '/**\n * Register a global or calling-agent-scoped command.\n * @param definition - discovery metadata and direct UI handler.\n * @returns the exact effect disposer that unregisters this definition.\n */',
},
{
signature: 'list(agent: Agent): readonly CommandDescriptor[]',
jsDoc: '/**\n * List the effective immutable command descriptors for one agent.\n * @param agent - exact receiving agent and scoped-layer key.\n * @returns name-sorted descriptors after scoped shadowing.\n */',
},
{
signature: 'find(agent: Agent, name: string): CommandDefinition | undefined',
jsDoc: '/**\n * Resolve one effective command definition.\n * @param agent - exact receiving agent and scoped-layer key.\n * @param name - command name without a slash.\n * @returns the scoped shadow or global definition.\n */',
},
{
signature: 'async execute( agent: Agent, line: string, signal: AbortSignal, ): Promise<CommandResult | undefined>',
jsDoc: '/**\n * Parse and execute a known command without sending it to the model.\n * @param agent - exact receiving agent.\n * @param line - complete slash-command line.\n * @param signal - cancellation signal owned by the UI request.\n * @returns a detached result, or `undefined` when syntax or name does not resolve.\n */',
},
],
},
{
key: 'compact',
summary: 'Abstract compaction service.',
@@ -250,6 +272,48 @@ export const SERVICE_API: readonly ServiceApiEntry[] = [
},
],
},
{
key: 'goals',
summary: 'Goal service (`ctx.goals`) backed exclusively by the owning session log.',
methods: [
{
signature: 'get(agent: Agent): GoalView | undefined',
jsDoc: '/**\n * Read the current goal for one exact live agent.\n * @param agent - owning live agent.\n * @returns a fresh view or `undefined` when no goal is current.\n * @throws {@link GoalError} when the agent is not the registry\'s live instance.\n */',
},
{
signature: 'disarm(agent: Agent): GoalView | undefined',
jsDoc: '/**\n * Remove process-local continuation authority without changing durable goal\n * phase or revision. Lifecycle owners use this before unloading a driver;\n * a later human-authorized {@link resume} records the new activation edge.\n * @param agent - owning live agent.\n * @returns a fresh disarmed view, or `undefined` when no goal is current.\n */',
},
{
signature: 'create(agent: Agent, request: CreateGoalRequest): GoalView',
jsDoc: '/**\n * Create and arm a goal. A completed goal may be replaced; every other\n * current phase must be cleared or resumed instead.\n * @param agent - owning live agent.\n * @param request - objective and optional round cap.\n * @returns the created live view.\n */',
},
{
signature: 'edit(agent: Agent, ref: GoalRef, request: EditGoalRequest): GoalView',
jsDoc: '/**\n * Edit objective and/or round cap without changing phase.\n * @param agent - owning live agent.\n * @param ref - expected current revision.\n * @param request - at least one replacement field.\n * @returns the edited view.\n */',
},
{
signature: 'pause(agent: Agent, ref: GoalRef): GoalView',
jsDoc: '/**\n * Pause an active goal and disarm automatic continuation.\n * @param agent - owning live agent.\n * @param ref - expected current revision.\n * @returns the paused view.\n */',
},
{
signature: 'resume(agent: Agent, ref: GoalRef): GoalView',
jsDoc: '/**\n * Resume and arm a stopped goal, or rearm an active goal after a\n * session-start edge, while its round budget still has capacity.\n * @param agent - owning live agent.\n * @param ref - expected current revision.\n * @returns the active view.\n */',
},
{
signature: 'complete(agent: Agent, ref: GoalRef): GoalView',
jsDoc: '/**\n * Mark a current non-complete goal complete and disarm it.\n * @param agent - owning live agent.\n * @param ref - expected current revision.\n * @returns the completed view.\n */',
},
{
signature: 'block(agent: Agent, ref: GoalRef, reason: GoalBlockReason): GoalView',
jsDoc: '/**\n * Mark an active goal blocked and disarm it.\n * @param agent - owning live agent.\n * @param ref - expected current revision.\n * @param reason - policy-owned stable code and human-readable explanation.\n * @returns the blocked view with its durable reason.\n */',
},
{
signature: 'clear(agent: Agent, ref: GoalRef): GoalRef',
jsDoc: '/**\n * Clear the current goal while retaining a durable tombstone and history.\n * @param agent - owning live agent.\n * @param ref - expected current revision.\n * @returns the tombstone ref whose revision is one past the cleared snapshot.\n */',
},
],
},
{
key: 'llm',
summary: 'The abstract `llm` service: an adapter registry plus a streaming model-call surface, interceptable via the `llm/stream` waterfall.',
@@ -641,6 +705,13 @@ export const EVENT_API: readonly EventApiEntry[] = [
jsDoc: '/**\n * A declarative agent entry failed before it could publish a live agent.\n * Consumers that buffer work for the configured identity use this\n * transient signal to reject that work instead of waiting forever. Normal\n * factory teardown suppresses failures from the cancelled startup attempt.\n * @param sessionId - exact shared agent/session identity that failed startup.\n * @param error - persistence, setup, or publication failure.\n * @mode emit\n */',
summary: 'A declarative agent entry failed before it could publish a live agent.',
},
{
name: 'agent/cancel-requested',
mode: 'emit',
signature: '\'agent/cancel-requested\'(this: Scoped<Agent>, agent: Agent, reason: string): void',
jsDoc: '/**\n * Effective broad cancellation was requested, before queued/steering work\n * is cleared or the active step is aborted. This observe-only notification\n * cannot veto cancellation; listener failures are contained.\n * @param agent - the agent whose current work is being cancelled.\n * @param reason - resolved cancellation reason, including the default.\n * Scope-filtered dispatch (`@deepseek-ai/dsh-scope`): agent-scoped listeners receive only that agent.\n * @mode emit\n */',
summary: 'Effective broad cancellation was requested, before queued/steering work is cleared or the active step is aborted.',
},
{
name: 'agent/created',
mode: 'emit',
@@ -753,6 +824,13 @@ export const EVENT_API: readonly EventApiEntry[] = [
jsDoc: '/**\n * Ask composed answerers for one decision. Return an outcome to claim the\n * request or call `next()`; failure yields the fail-closed default.\n * Scope-filtered dispatch (`@deepseek-ai/dsh-scope`): agent-scoped listeners receive only that agent.\n * @param req - the pending decision (agent, tool identity, reason, signal).\n * @mode waterfall\n */',
summary: 'Ask composed answerers for one decision.',
},
{
name: 'commands/change',
mode: 'emit',
signature: '\'commands/change\'(): void',
jsDoc: '/**\n * A command was registered or unregistered. This is an unfiltered registry\n * notification because a global or scoped change may affect any UI view.\n * Observer failures are contained and cannot veto the registry mutation.\n * @mode emit\n */',
summary: 'A command was registered or unregistered.',
},
{
name: 'fs/edit-intent',
mode: 'waterfall',
@@ -774,6 +852,13 @@ export const EVENT_API: readonly EventApiEntry[] = [
jsDoc: '/**\n * Single-slot decision for the next {@link FileSystem.writeText}. Calling\n * `next()` yields the bare provider\'s unconditional write; the first listener\n * that returns an intent owns the decision rather than composing with peers.\n * @param target - the resolved target about to be written.\n * @param actor - the opaque tool-execution context the decider keys off.\n * @mode waterfall\n */',
summary: 'Single-slot decision for the next FileSystem.writeText.',
},
{
name: 'goal/changed',
mode: 'emit',
signature: '\'goal/changed\'(this: import(\'@deepseek-ai/dsh-scope\').Scoped<Agent>, agent: Agent, change: GoalChanged): void',
jsDoc: '/**\n * Goal mutation accepted by one live agent. The matching context event is\n * already appended or queued in that agent\'s active tool-batch FIFO.\n * Listener failures are contained.\n * Scope-filtered dispatch (`@deepseek-ai/dsh-scope`): agent-scoped listeners receive only that agent.\n * @param agent - agent whose session owns the goal.\n * @param change - fresh current projection or clear tombstone.\n * @mode emit\n */',
summary: 'Goal mutation accepted by one live agent.',
},
{
name: 'llm/stream',
mode: 'waterfall',
@@ -1068,6 +1153,26 @@ export const TYPE_API: readonly TypeApiEntry[] = [
name: 'CollectedOutput',
declaration: 'export interface CollectedOutput {\n text: string;\n truncated: boolean;\n spillPath?: string;\n}',
},
{
name: 'CommandDefinition',
declaration: 'export interface CommandDefinition {\n readonly name: string;\n readonly description: string;\n readonly input?: CommandInputDescriptor;\n readonly handler: (invocation: CommandInvocation) => CommandResult | Promise<CommandResult>;\n}',
},
{
name: 'CommandDescriptor',
declaration: 'export interface CommandDescriptor {\n readonly name: string;\n readonly description: string;\n readonly input?: CommandInputDescriptor;\n}',
},
{
name: 'CommandInputDescriptor',
declaration: 'export interface CommandInputDescriptor {\n readonly hint: string;\n}',
},
{
name: 'CommandInvocation',
declaration: 'export interface CommandInvocation {\n readonly agent: Agent;\n readonly rawInput: string;\n readonly signal: AbortSignal;\n}',
},
{
name: 'CommandResult',
declaration: 'export type CommandResult = {\n readonly kind: \'success\';\n readonly text?: string;\n} | {\n readonly kind: \'error\';\n readonly text: string;\n};',
},
{
name: 'CompactAgentContext',
declaration: 'export interface CompactAgentContext {\n session: Session;\n options: {\n provider?: string;\n model?: string;\n };\n}',
@@ -1100,6 +1205,10 @@ export const TYPE_API: readonly TypeApiEntry[] = [
name: 'CreateAgentOptions',
declaration: 'export interface CreateAgentOptions {\n readonly sessionId: SessionId;\n readonly meta?: {\n readonly cwd?: string;\n readonly parentSession?: SessionId;\n readonly seedLength?: number;\n readonly delegationDepth?: number;\n };\n readonly seed?: readonly SessionEvent[];\n readonly agentOptions?: AgentOptions;\n readonly signal?: AbortSignal;\n readonly setup?: (agentCtx: Context) => Promise<void> | void;\n}',
},
{
name: 'CreateGoalRequest',
declaration: 'export interface CreateGoalRequest {\n readonly objective: string;\n readonly maxGoalRounds?: number;\n}',
},
{
name: 'CreateSessionOptions',
declaration: 'export interface CreateSessionOptions {\n readonly seed?: readonly SessionEvent[];\n readonly meta?: {\n readonly cwd?: string;\n readonly parentSession?: SessionId;\n readonly createdAt?: number;\n readonly seedLength?: number;\n readonly delegationDepth?: number;\n };\n}',
@@ -1120,6 +1229,10 @@ export const TYPE_API: readonly TypeApiEntry[] = [
name: 'DshEnvironmentKey',
declaration: 'export type DshEnvironmentKey = `${typeof DSH_ENV_PREFIX}${string}`;',
},
{
name: 'EditGoalRequest',
declaration: 'export interface EditGoalRequest {\n readonly objective?: string;\n readonly maxGoalRounds?: number;\n}',
},
{
name: 'EpochHeader',
declaration: 'export interface EpochHeader {\n config: LlmCallConfig;\n system?: string;\n tools?: ToolSchema[];\n messagePrefix?: Message[];\n}',
@@ -1192,6 +1305,34 @@ export const TYPE_API: readonly TypeApiEntry[] = [
name: 'GenericResultView',
declaration: 'export interface GenericResultView {\n card: \'generic\';\n title?: string;\n content?: ContentBlock[];\n}',
},
{
name: 'GoalActivation',
declaration: 'export type GoalActivation = \'armed\' | \'disarmed\';',
},
{
name: 'GoalBlockReason',
declaration: 'export interface GoalBlockReason {\n readonly code: string;\n readonly message: string;\n}',
},
{
name: 'GoalId',
declaration: 'export type GoalId = Branded<\'GoalId\'>;',
},
{
name: 'GoalPhase',
declaration: 'export type GoalPhase = \'active\' | \'paused\' | \'blocked\' | \'complete\';',
},
{
name: 'GoalRef',
declaration: 'export interface GoalRef {\n readonly id: GoalId;\n readonly revision: number;\n}',
},
{
name: 'GoalSnapshot',
declaration: 'export interface GoalSnapshot extends GoalRef {\n readonly objective: string;\n readonly phase: GoalPhase;\n readonly blockedReason?: GoalBlockReason;\n readonly maxGoalRounds: number;\n}',
},
{
name: 'GoalView',
declaration: 'export interface GoalView extends GoalSnapshot {\n readonly roundsStarted: number;\n readonly createdAt: number;\n readonly updatedAt: number;\n readonly activation: GoalActivation;\n}',
},
{
name: 'HookContext',
declaration: 'export interface HookContext {\n content: ContentBlock[];\n source: MessageSource;\n meta?: JsonValue;\n}',
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