feat(goal): add model-facing goal tools

This commit is contained in:
Tianyi Cui
2026-07-19 19:22:10 +08:00
parent e9940d35cf
commit 0129063ae7
24 changed files with 1388 additions and 1 deletions
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@@ -1098,6 +1098,20 @@ export interface Config {
Source: [`packages/fs/tool-fs-search/src/index.ts:59`](../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:25`](../packages/goal/tool-goal/src/index.ts)
## `@deepseek-ai/dsh-tool-skill`
Requires: `tools` · `skills`
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@@ -30,6 +30,7 @@ flowchart TD
end
subgraph group_goal["packages/goal"]
pkg_goal["goal"]
pkg_tool_goal["tool-goal"]
end
subgraph group_bash["packages/bash"]
pkg_bash["bash"]
@@ -261,6 +262,12 @@ 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
@@ -511,6 +518,7 @@ flowchart TD
| [`bash-sandbox`](../packages/bash/bash-sandbox) | `bash` | [`bash`](../packages/bash/bash), [`bash-local`](../packages/bash/bash-local), [`sandbox`](../packages/sandbox/sandbox) |
| [`permission`](../packages/ui/permission) | `ui` | [`bash`](../packages/bash/bash), [`sandbox`](../packages/sandbox/sandbox), [`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), [`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), [`session`](../packages/core/session), [`system-prompt`](../packages/core/system-prompt), [`tools`](../packages/core/tools) |
| [`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) |
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@@ -89,6 +89,7 @@ Generated by `pnpm run gen-rfc-index` from the RFC tree — never edit by hand;
| [Optional time-context plugin](implemented/feature/2026-07-14-time-context-plugin.md) | 2026-07-14 |
| [Durable per-step time context](implemented/feature/2026-07-16-durable-per-step-time-context.md) | 2026-07-16 |
| [Dedicated full-screen TUI front door](implemented/feature/2026-07-17-dedicated-full-screen-tui-front-door.md) | 2026-07-17 |
| [Model-facing same-session goal tools](implemented/feature/2026-07-19-model-facing-goal-tools.md) | 2026-07-19 |
| [Persisted same-session goal domain](implemented/feature/2026-07-19-persisted-same-session-goal-domain.md) | 2026-07-19 |
### Simplification
@@ -0,0 +1,6 @@
# Bilingual-pair consistency record (docs/i18n/README.md): the git blob hash of each
# side as of the last confirmed-consistent state. Both languages carry equal authority;
# after editing either side, bring the other along and re-record with:
# pnpm run verify-translation-pairing --write
2026-07-19-model-facing-goal-tools.md: 7a207bbc73e13ca5111d73ee2c58cf05fbe6387e
2026-07-19-model-facing-goal-tools.zh.md: 46ad7671e1ef2a6856df6d1ec893896aab9760b5
@@ -0,0 +1,63 @@
# RFC: 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, 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?)` supports `edit`, `pause`, `resume`, `complete`, and `blocked`; replacement fields are valid only for `edit`.
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.
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.
### 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. 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; 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 live-agent and driver checks, root-versus-child authority, steering, mismatched initiators, read/create/edit/pause/resume behavior, rearming after a session-start edge, compare-and-set and argument failures, exact goal-round completion, the configured blocking threshold, and immediate human blocking. A keyless Loader/stdio process test mounts the real goal, tool, loop, and persistence plugins through `cordis.yml`, drives scripted model tool calls, and reads the JSONL externally to verify the model-visible create/pause snapshots, structured tool results, and configured prompt text.
## 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.
- 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.
@@ -0,0 +1,63 @@
# RFC: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,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?)` 支持 `edit``pause``resume``complete``blocked`;替换字段仅对 `edit` 有效。
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。
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。
### 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。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;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、精确实时智能体与驱动检查、根与子智能体权限、steering、发起者不匹配、读取/创建/编辑/暂停/恢复行为、会话启动边沿后的重新激活、比较并交换与参数失败、准确目标回合的完成、可配置阻塞阈值,以及人类立即阻塞。无密钥 Loader/stdio 进程测试通过 `cordis.yml` 挂载真实的目标、工具、循环和持久化插件,驱动脚本化模型工具调用,并从外部读取 JSONL,以验证模型可见的创建/暂停快照、结构化工具结果和配置后的提示词文本。
## 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。
- 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。
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@@ -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 docs/rfc/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 bash-backed discovery tools: they 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/repl-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 +394,94 @@ Source: [`packages/fs/tool-fs-search/src/index.ts`](../packages/fs/tool-fs-searc
glob and grep are bash-backed discovery tools: they 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 cap; omission uses the goal-domain deployment default."
}
},
"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, durable phase, admitted round count, cap, and live process-local activation. 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 turn. complete and blocked additionally accept the exact admitted goal round. blocked is rejected before the configured minimum round count; the model remains responsible for judging that the same condition persisted across those rounds.
```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."
}
},
"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 +1,26 @@
# Test-only composition: drive all three goal tools through a real root agent.
- id: scripted-llm
name: './scripted-llm.ts'
- id: bash
name: '@deepseek-ai/dsh-bash-local'
- id: goal
name: '@deepseek-ai/dsh-goal'
config:
defaultMaxGoalRounds: 11
- id: tool-goal
name: '@deepseek-ai/dsh-tool-goal'
config:
blockedAfterConsecutiveRounds: 3
- id: stdio-agent
name: '@deepseek-ai/dsh-stdio-demo'
config:
provider: goal-script
model: goal-script
persona: 'Execute the deterministic goal-tool composition test.'
welcome: 'goal-tools e2e ready.'
persistenceRoot: './.sessions'
workspaceContext: false
@@ -0,0 +1,88 @@
/** Deterministic adapter that creates, reads, then pauses one goal. */
import type { Context } from 'cordis'
import { CallId, LlmAdapter } from '@deepseek-ai/dsh-llm'
import type { GenerateOptions, Message, StreamChunk } from '@deepseek-ai/dsh-llm'
interface GoalState {
readonly id: string
readonly revision: number
}
/** Text from the latest ordinary user message, excluding raw goal-state context. */
function latestPrompt(messages: readonly Message[]): { index: number; text: string } {
for (let index = messages.length - 1; index >= 0; index -= 1) {
const message = messages[index]
if (message?.role !== 'user') continue
const text = message.content
.filter(block => block.type === 'text' && !block.text.startsWith('<goal_state>'))
.map(block => block.type === 'text' ? block.text : '')
.join('\n')
if (text.length > 0) return { index, text }
}
return { index: -1, text: '' }
}
/** Parse the latest domain snapshot rendered into history. */
function latestGoal(messages: readonly Message[]): GoalState | undefined {
for (const message of [...messages].reverse()) {
for (const block of [...message.content].reverse()) {
if (block.type !== 'text' || !block.text.startsWith('<goal_state>')) continue
const json = block.text.slice('<goal_state>'.length, -'</goal_state>'.length)
const value = JSON.parse(json) as { goal?: GoalState }
if (value.goal !== undefined) return value.goal
}
}
return undefined
}
/** Names of tool calls recorded after the latest ordinary prompt. */
function callsAfter(messages: readonly Message[], index: number): string[] {
return messages.slice(index + 1).flatMap(message => message.content)
.filter(block => block.type === 'tool-call')
.map(block => block.type === 'tool-call' ? block.name : '')
}
/** Emit one tool-call response. */
async function* toolCall(name: string, args: object): AsyncIterable<StreamChunk> {
const id = CallId(`call-${name}`)
const raw = JSON.stringify(args)
yield { type: 'block-start', index: 0, blockType: 'tool-call' }
yield { type: 'tool-call-delta', index: 0, id, name, argumentsDelta: raw }
yield { type: 'block-end', index: 0, block: { type: 'tool-call', id, name, arguments: raw } }
yield { type: 'finish', reason: { kind: 'tool-calls' } }
}
/** Emit one terminal text response. */
async function* textReply(text: string): AsyncIterable<StreamChunk> {
yield { type: 'block-start', index: 0, blockType: 'text' }
yield { type: 'text-delta', index: 0, text }
yield { type: 'block-end', index: 0, block: { type: 'text', text } }
yield { type: 'finish', reason: { kind: 'stop' } }
}
class GoalScriptAdapter extends LlmAdapter {
override stream(options: GenerateOptions): AsyncIterable<StreamChunk> {
const prompt = latestPrompt(options.messages)
const calls = callsAfter(options.messages, prompt.index)
if (prompt.text === 'start' && !calls.includes('create_goal')) {
return toolCall('create_goal', { objective: 'Finish the composed goal-tool proof', max_goal_rounds: 7 })
}
if (prompt.text === 'start' && !calls.includes('get_goal')) return toolCall('get_goal', {})
if (prompt.text === 'start') return textReply('GOAL CREATED')
if (prompt.text === 'pause' && !calls.includes('update_goal')) {
const goal = latestGoal(options.messages)
if (goal === undefined) throw new Error('scripted goal state missing')
return toolCall('update_goal', { goal_id: goal.id, revision: goal.revision, action: 'pause' })
}
if (prompt.text === 'pause') return textReply('GOAL PAUSED')
return textReply('UNEXPECTED PROMPT')
}
}
export const name = 'goal-tool-scripted-llm'
export const inject = ['llm']
export function apply(ctx: Context): void {
ctx.llm.registerAdapter(['goal-script'], new GoalScriptAdapter())
}
+1
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@@ -36,6 +36,7 @@
"@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:*",
+5
View File
@@ -11,6 +11,7 @@
"entry": [
"echo-agent/src/*.ts",
"echo-agent/tests/fixtures/goal/goal/seed-goal.ts",
"echo-agent/tests/fixtures/goal/tool-goal/scripted-llm.ts",
"headless-agent/tests/fixtures/cli-mock-llm.ts",
"tui-agent/tests/fixtures/tui-scripted-llm.ts",
"*/tests/**/*.e2e.ts",
@@ -71,6 +72,10 @@
"entry": ["tests/**/*.spec.ts", "tests/**/*.e2e.ts"],
"project": ["src/**/*.ts", "tests/**/*.ts"]
},
"packages/goal/tool-goal": {
"entry": ["tests/**/*.spec.ts", "tests/**/*.e2e.ts"],
"project": ["src/**/*.ts", "tests/**/*.ts"]
},
"packages/code-runtime/code-runtime-worker": {
"entry": ["tests/**/*.spec.ts", "tests/**/*.e2e.ts"],
"project": ["src/**/*.ts", "tests/**/*.ts"]
@@ -23,7 +23,7 @@ describe('gen-tool-catalog collectToolCatalog', () => {
it('boots every shipped tool package and harvests its model-facing schemas', async () => {
const catalog = await collectToolCatalog()
const names = catalog.flatMap(entry => entry.schemas.map(s => s.name)).sort()
expect(names).toEqual(['ask_user_question', 'bash', 'cordis_inspect', 'cordis_mount', 'cordis_unmount', 'edit', 'glob', 'grep', 'read', 'run_code', 'skill', 'subagent', 'task_kill', 'task_list', 'task_output', 'todo_write', 'web_fetch', 'web_search', 'workflow', 'write'])
expect(names).toEqual(['ask_user_question', 'bash', 'cordis_inspect', 'cordis_mount', 'cordis_unmount', 'create_goal', 'edit', 'get_goal', 'glob', 'grep', 'read', 'run_code', 'skill', 'subagent', 'task_kill', 'task_list', 'task_output', 'todo_write', 'update_goal', 'web_fetch', 'web_search', 'workflow', 'write'])
// Every tool carries a JSON-Schema `parameters` object (what the model sees).
for (const entry of catalog) {
for (const schema of entry.schemas) {
+1
View File
@@ -5,5 +5,6 @@ The goal family owns durable objective state independently of the model-facing t
| Package | Role | ctx key |
|---|---|---|
| `goal/` | Event-sourced goal lifecycle, replay fold, compare-and-set mutations, and process-local activation | `ctx.goals` |
| `tool-goal/` | Model-facing read/create/update tools with execution-time authority checks | — |
Goal state is part of the owning session log. Consumers depend on `dsh-goal`, not on the concrete agent loop; continuation behavior belongs in a separate plugin on the public agent seams.
+55
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@@ -0,0 +1,55 @@
# @deepseek-ai/dsh-tool-goal
The model-facing control surface for [`ctx.goals`](../goal/README.md): `get_goal`, `create_goal`, and `update_goal`. The [goal-tool RFC](../../../docs/rfc/implemented/feature/2026-07-19-model-facing-goal-tools.md) owns the authority split and Codex-shaped UX.
## Tools
- `get_goal()` returns the current goal or `null`, including the compare-and-set id/revision, durable phase, admitted/capped goal rounds, and current process-local activation.
- `create_goal(objective, max_goal_rounds?)` creates one goal from a direct top-level human turn. The model may infer long-running goal intent without an exact command phrase; non-human turns and subagents are rejected at execution.
- `update_goal(goal_id, revision, action, objective?, max_goal_rounds?)` supports `edit`, `pause`, `resume`, `complete`, and `blocked`. Replacements belong only to `edit`.
All calls are exclusive, so a model-ordered batch observes earlier mutations and their new revisions. ACP and other clients receive pure generic cards: read for `get_goal`, other for mutations.
## Authority
Execution requires the exact live `exec.agent`, its inherited `AgentRegistry` initiator, running status, and an open turn. Create, edit, pause, and resume additionally require an accepted `{ kind: 'user' }` message or steering event in a runtime-root agent's current turn. Durable fork lineage does not demote a resumed root; live subagent ownership does.
Complete and blocked also accept the exact current goal round: a goal-sourced `user/message` whose id, revision, and round equal the folded current goal. A goal-round blocked call is mechanically rejected until `blockedAfterConsecutiveRounds`; the model judges whether the same condition actually persisted. Direct human authority may stop a goal immediately.
## Config
```yaml
- id: tool-goal
name: '@deepseek-ai/dsh-tool-goal'
config:
blockedAfterConsecutiveRounds: 3
```
The value must be a positive safe integer. It supplies both the hard lower bound on model self-blocking and the number named in model guidance.
## Model Experience
### System prompt
**What the model sees**: A fixed goal policy says when semantic human intent warrants creation, requires exact read-before-update refs, explains rearming after resume/fork, and limits completion/blocking claims. The configured threshold is interpolated into that guidance.
**Token effect**: Small fixed input cost on every request where this plugin's prompt registration is in scope.
#### Goal policy
```markdown
Use goal tools for one long-running completion objective in the current session. create_goal may infer goal intent from a direct human request in any language; do not create a goal for routine single-turn work. Call get_goal before update_goal and copy its exact goal_id and revision. After session resume or fork, an active goal is disarmed: when a human asks to continue or resume in any wording or language, use update_goal action resume to rearm it. Mark complete only when the objective is actually achieved. Mark blocked only after the same blocking condition persists for at least 3 consecutive goal rounds; difficulty, uncertainty, or useful remaining work is not blocked.
```
### Tool schemas and results
**What the model sees**: The generated [`get_goal`, `create_goal`, and `update_goal` schemas](../../../docs/tool-catalog.md#deepseek-aidsh-tool-goal). Successful results are compact JSON. Mutation results are followed by the goal domain's raw `<goal_state>` snapshot after the tool batch. `activation` in a result is a live observation and never becomes replay authority.
**Token effect**: Fixed schema cost plus one compact result per call. Mutations also retain the domain snapshot until compaction.
## Known Limitations and Deferred Work
- **Semantic intent remains model judgment** — execution can prove direct human provenance, not whether a request is substantial enough to merit a goal.
- **Same-condition blocking remains model judgment** — the runtime enforces distinct admitted-round count, not semantic equivalence of obstacles; an independent evaluator is deferred.
- **No scheduling or UI commands** — these tools mutate state only; the same-session driver and human command surfaces are separate stack layers.
- **Prompt registration is independent of filtering** — a scope may hide the tools while retaining their guidance unless the deployment scopes both registrations together.
+47
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@@ -0,0 +1,47 @@
{
"name": "@deepseek-ai/dsh-tool-goal",
"description": "Model-facing same-session goal tools with execution-time authority checks",
"version": "0.0.1",
"private": true,
"type": "module",
"main": "lib/index.js",
"types": "lib/types/index.d.ts",
"exports": {
".": {
"types": "./lib/types/index.d.ts",
"default": "./lib/index.js"
},
"./src/*": "./src/*",
"./package.json": "./package.json"
},
"files": [
"lib/index.js",
"lib/types/**/*.d.ts",
"lib/types/**/*.d.ts.map",
"src"
],
"license": "BSD-3-Clause",
"peerDependencies": {
"@deepseek-ai/dsh-agent": "^0.0.1",
"@deepseek-ai/dsh-goal": "^0.0.1",
"@deepseek-ai/dsh-llm": "^0.0.1",
"@deepseek-ai/dsh-session": "^0.0.1",
"@deepseek-ai/dsh-system-prompt": "^0.0.1",
"@deepseek-ai/dsh-tools": "^0.0.1",
"cordis": "^4.0.0-rc.7"
},
"dependencies": {
"schemastery": "^3.18.0"
},
"devDependencies": {
"@cordisjs/plugin-loader": "workspace:^",
"@deepseek-ai/dsh-agent": "workspace:^",
"@deepseek-ai/dsh-goal": "workspace:^",
"@deepseek-ai/dsh-llm": "workspace:^",
"@deepseek-ai/dsh-loader-smoke": "workspace:^",
"@deepseek-ai/dsh-session": "workspace:^",
"@deepseek-ai/dsh-system-prompt": "workspace:^",
"@deepseek-ai/dsh-tools": "workspace:^",
"cordis": "^4.0.0-rc.7"
}
}
+105
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@@ -0,0 +1,105 @@
/** Execution-time authority checks for the model-facing goal tools. */
import type { Context } from 'cordis'
import type { Agent } from '@deepseek-ai/dsh-agent'
import type { GoalView } from '@deepseek-ai/dsh-goal'
import { HarnessError } from '@deepseek-ai/dsh-llm'
import type { SessionEvent } from '@deepseek-ai/dsh-session'
import type { ToolRunContext } from '@deepseek-ai/dsh-tools'
type TurnStartEvent = Extract<SessionEvent, { type: 'turn/start' }>
/** Current open turn plus the events accepted after its start boundary. */
export interface GoalToolExecution {
readonly agent: Agent
readonly start: TurnStartEvent
readonly events: readonly SessionEvent[]
}
/** Hard authority granted to one state-changing call. */
export type GoalToolAuthority =
| { readonly kind: 'direct-human' }
| { readonly kind: 'goal-round'; readonly goal: GoalView }
/** Throw one structured tool-policy failure. */
function reject(message: string, code = 'GOAL_TOOL_AUTHORITY_REQUIRED'): never {
throw new HarnessError(message, code)
}
/** Locate the open turn enclosing a model tool call. */
function openTurn(agent: Agent): { start: TurnStartEvent; events: readonly SessionEvent[] } {
const events = agent.session.events
for (let index = events.length - 1; index >= 0; index -= 1) {
const boundary = events[index]
if (boundary?.type === 'turn/end') {
reject('goal tools require an open model turn', 'GOAL_TOOL_DRIVER_REQUIRED')
}
if (boundary?.type === 'turn/start') {
return { start: boundary, events: events.slice(index + 1) }
}
}
return reject('goal tools require an open model turn', 'GOAL_TOOL_DRIVER_REQUIRED')
}
/**
* Resolve and authenticate the calling agent and its driver boundary.
* @param ctx - Context carrying the live agent registry.
* @param exec - Tool execution metadata supplied by the registry.
* @returns The authenticated agent and its current turn window.
*/
export function goalToolExecution(ctx: Context, exec: ToolRunContext): GoalToolExecution {
const agent = exec.agent
if (agent === undefined) {
return reject('goal tools require a calling agent', 'GOAL_TOOL_AGENT_REQUIRED')
}
if (ctx.agents.get(agent.id) !== agent || agent.status !== 'running'
|| ctx.agents.currentInitiator() !== agent) {
return reject(
'goal tools require the exact live calling agent inside its active driver',
'GOAL_TOOL_DRIVER_REQUIRED',
)
}
return { agent, ...openTurn(agent) }
}
/** Whether an accepted human message appears in the current root-agent turn. */
function hasDirectHumanInput(ctx: Context, execution: GoalToolExecution): boolean {
if (!ctx.agents.roots().includes(execution.agent)) return false
return execution.events.some(event =>
(event.type === 'user/message' || event.type === 'steering/message')
&& event.data.source.kind === 'user')
}
/** Whether this turn is the current goal's exact admitted round. */
function isMatchingGoalRound(execution: GoalToolExecution, goal: GoalView): boolean {
return execution.events.some(event => event.type === 'user/message'
&& event.data.source.kind === 'goal'
&& event.data.source.goalId === goal.id
&& event.data.source.revision === goal.revision
&& event.data.source.round === goal.roundsStarted)
}
/**
* Require authority originating in a human message accepted by a runtime root.
* @param ctx - Context carrying the live agent graph.
* @param execution - Authenticated current tool execution.
*/
export function requireDirectHuman(ctx: Context, execution: GoalToolExecution): void {
if (hasDirectHumanInput(ctx, execution)) return
reject('this goal operation requires a direct human turn on a top-level agent')
}
/**
* Resolve completion authority from either direct human input or the exact goal round.
* @param ctx - Context carrying live agents and goal state.
* @param execution - Authenticated current tool execution.
* @returns The direct-human or exact-goal-round authority grant.
*/
export function completionAuthority(ctx: Context, execution: GoalToolExecution): GoalToolAuthority {
if (hasDirectHumanInput(ctx, execution)) return { kind: 'direct-human' }
const goal = ctx.goals.get(execution.agent)
if (goal !== undefined && isMatchingGoalRound(execution, goal)) {
return { kind: 'goal-round', goal }
}
return reject('complete and blocked require a direct human turn or the current goal round')
}
+222
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@@ -0,0 +1,222 @@
/**
* Model-facing `get_goal`, `create_goal`, and `update_goal` tools over the
* persisted same-session goal domain.
* @module @deepseek-ai/dsh-tool-goal
*/
import type { Context } from 'cordis'
import z from 'schemastery'
import { GoalId } from '@deepseek-ai/dsh-goal'
import type { GoalRef, GoalView } from '@deepseek-ai/dsh-goal'
import { HarnessError } from '@deepseek-ai/dsh-llm'
import { defineTool } from '@deepseek-ai/dsh-tools'
import type { GenericCallView } from '@deepseek-ai/dsh-tools'
import type {} from '@deepseek-ai/dsh-system-prompt'
import {
completionAuthority,
goalToolExecution,
requireDirectHuman,
} from './authority.ts'
export const name = 'tool-goal'
export const inject = ['agents', 'goals', 'tools', 'systemPrompt']
/** 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
}
/** Schemastery config for the goal-tool policy. */
export const Config: z<Config> = z.object({
blockedAfterConsecutiveRounds: z.number().step(1).min(1).default(3),
})
/** Fully materialized tool policy. */
interface ResolvedConfig {
readonly blockedAfterConsecutiveRounds: number
}
type UpdateAction = 'edit' | 'pause' | 'resume' | 'complete' | 'blocked'
const UPDATE_ACTIONS: UpdateAction[] = ['edit', 'pause', 'resume', 'complete', 'blocked']
const CREATE_DESCRIPTION =
'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.'
const GET_DESCRIPTION =
'Read the current same-session goal, including its exact id/revision, durable phase, admitted '
+ 'round count, cap, and live process-local activation. Call this before updating a goal.'
/** Render policy guidance with its deployment-selected blocked threshold. */
function guidance(blockedAfter: number): string {
return 'Use goal tools for one long-running completion objective in the current session. '
+ 'create_goal may infer goal intent from a direct human request in any language; do not '
+ 'create a goal for routine single-turn work. Call get_goal before update_goal and copy its '
+ 'exact goal_id and revision. After session resume or fork, an active goal is disarmed: when '
+ 'a human asks to continue or resume in any wording or language, use update_goal action '
+ 'resume to rearm it. Mark complete only when the objective is actually achieved. Mark '
+ `blocked only after the same blocking condition persists for at least ${blockedAfter} `
+ 'consecutive goal rounds; difficulty, uncertainty, or useful remaining work is not blocked.'
}
/** Validate config even when apply is called directly outside Loader normalization. */
function resolveConfig(config: Config): ResolvedConfig {
const blockedAfter = config.blockedAfterConsecutiveRounds ?? 3
if (!Number.isSafeInteger(blockedAfter) || blockedAfter < 1) {
throw new TypeError('blockedAfterConsecutiveRounds must be a positive safe integer')
}
return { blockedAfterConsecutiveRounds: blockedAfter }
}
/** Build the exact compare-and-set ref from model arguments. */
function goalRef(goalId: string, revision: number): GoalRef {
if (goalId.length === 0 || goalId !== goalId.trim()
|| !Number.isSafeInteger(revision) || revision < 1) {
throw new HarnessError(
'goal_id must be non-empty and revision must be a positive safe integer',
'GOAL_TOOL_INVALID_UPDATE',
)
}
return { id: GoalId(goalId), revision }
}
/** Stable compact model result; activation is an observation, not replay state. */
function renderGoal(goal: GoalView | undefined): string {
if (goal === undefined) return JSON.stringify({ goal: null })
return JSON.stringify({
goal: {
id: goal.id,
revision: goal.revision,
objective: goal.objective,
phase: goal.phase,
roundsStarted: goal.roundsStarted,
maxGoalRounds: goal.maxGoalRounds,
},
activation: goal.activation,
})
}
/** Generic, args-only pending presentation shared by the goal tools. */
function present(title: string, kind: 'read' | 'other', rawInput?: unknown): GenericCallView {
return { card: 'generic', title, kind, ...rawInput === undefined ? {} : { rawInput } }
}
/** Register the three Codex-shaped goal tools and their shared policy section. */
export function apply(ctx: Context, config: Config): void {
const resolved = resolveConfig(config)
ctx.systemPrompt.section({
name: 'tool:goal',
order: 114,
text: guidance(resolved.blockedAfterConsecutiveRounds),
})
ctx.tools.register(defineTool({
name: 'get_goal',
description: GET_DESCRIPTION,
parameters: {},
execute(_args, exec) {
const execution = goalToolExecution(ctx, exec)
return Promise.resolve([{
type: 'text',
text: renderGoal(ctx.goals.get(execution.agent)),
}])
},
presentCall: () => present('Read current goal', 'read'),
}))
ctx.tools.register(defineTool({
name: 'create_goal',
description: CREATE_DESCRIPTION,
parameters: {
objective: {
type: 'string',
required: true,
description: 'The concrete completion objective inferred from the direct human request.',
},
max_goal_rounds: {
type: 'number',
description: 'Optional positive safe-integer cap; omission uses the goal-domain deployment default.',
},
},
execute(args, exec) {
const execution = goalToolExecution(ctx, exec)
requireDirectHuman(ctx, execution)
const goal = ctx.goals.create(execution.agent, {
objective: args.objective,
...args.max_goal_rounds === undefined ? {} : { maxGoalRounds: args.max_goal_rounds },
})
return Promise.resolve([{ type: 'text', text: renderGoal(goal) }])
},
presentCall: args => present('Create goal', 'other', args.objective),
}))
ctx.tools.register(defineTool({
name: 'update_goal',
description: 'Update the exact current goal revision. edit, pause, and resume require a direct '
+ 'top-level human turn. complete and blocked additionally accept the exact admitted goal '
+ 'round. blocked is rejected before the configured minimum round count; the model remains '
+ 'responsible for judging that the same condition persisted across those rounds.',
parameters: {
goal_id: { type: 'string', required: true, description: 'Exact id returned by get_goal.' },
revision: { type: 'number', required: true, description: 'Exact positive revision returned by get_goal.' },
action: {
type: 'string',
required: true,
enum: UPDATE_ACTIONS,
description: '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.' },
},
execute(args, exec) {
const execution = goalToolExecution(ctx, exec)
const ref = goalRef(args.goal_id, args.revision)
const replacements = {
...args.objective === undefined ? {} : { objective: args.objective },
...args.max_goal_rounds === undefined ? {} : { maxGoalRounds: args.max_goal_rounds },
}
if (args.action === 'edit') {
requireDirectHuman(ctx, execution)
return Promise.resolve([{
type: 'text',
text: renderGoal(ctx.goals.edit(execution.agent, ref, replacements)),
}])
}
if (args.objective !== undefined || args.max_goal_rounds !== undefined) {
throw new HarnessError(
'objective and max_goal_rounds are valid only with action edit',
'GOAL_TOOL_INVALID_UPDATE',
)
}
if (args.action === 'pause' || args.action === 'resume') {
requireDirectHuman(ctx, execution)
const goal = args.action === 'pause'
? ctx.goals.pause(execution.agent, ref)
: ctx.goals.resume(execution.agent, ref)
return Promise.resolve([{ type: 'text', text: renderGoal(goal) }])
}
const authority = completionAuthority(ctx, execution)
if (args.action === 'blocked' && authority.kind === 'goal-round'
&& authority.goal.roundsStarted < resolved.blockedAfterConsecutiveRounds) {
throw new HarnessError(
`blocked requires at least ${resolved.blockedAfterConsecutiveRounds} consecutive goal rounds; `
+ `current round is ${authority.goal.roundsStarted}`,
'GOAL_TOOL_BLOCK_THRESHOLD',
)
}
const goal = args.action === 'complete'
? ctx.goals.complete(execution.agent, ref)
: ctx.goals.block(execution.agent, ref)
return Promise.resolve([{ type: 'text', text: renderGoal(goal) }])
},
presentCall: args => present(
`${args.action === 'blocked' ? 'Mark' : args.action.charAt(0).toUpperCase() + args.action.slice(1)} goal`,
'other',
args.objective ?? args.goal_id,
),
}))
}
@@ -0,0 +1,124 @@
import { spawn, type ChildProcessWithoutNullStreams } from 'node:child_process'
import { mkdtemp, readFile, readdir, rm } from 'node:fs/promises'
import { tmpdir } from 'node:os'
import { join } from 'node:path'
import { fileURLToPath } from 'node:url'
import { afterEach, describe, expect, it } from 'vitest'
import { decodeGoalChange } from '@deepseek-ai/dsh-goal'
import type { SessionEvent } from '@deepseek-ai/dsh-session'
import { resolveExampleLaunch } from '@deepseek-ai/dsh-loader-smoke'
const binScript = fileURLToPath(new URL('../../../examples/stdio-demo/src/bin.ts', import.meta.url))
const configPath = fileURLToPath(new URL(
'../../../../examples/echo-agent/tests/fixtures/goal/tool-goal/cordis.yml',
import.meta.url,
))
const repoTsconfig = fileURLToPath(new URL('../../../../tsconfig.json', import.meta.url))
const PROCESS_TIMEOUT_MS = 30_000
const TEST_TIMEOUT_MS = PROCESS_TIMEOUT_MS + 15_000
let child: ChildProcessWithoutNullStreams | undefined
let workdir: string | undefined
afterEach(async () => {
if (child !== undefined && child.exitCode === null) child.kill('SIGKILL')
child = undefined
if (workdir !== undefined) await rm(workdir, { recursive: true, force: true })
workdir = undefined
})
async function jsonlFiles(dir: string): Promise<string[]> {
const entries = await readdir(dir, { withFileTypes: true })
const paths = await Promise.all(entries.map(async (entry) => {
const path = join(dir, entry.name)
if (entry.isDirectory()) return jsonlFiles(path)
return entry.isFile() && entry.name.endsWith('.jsonl') ? [path] : []
}))
return paths.flat()
}
async function runComposition(): Promise<{ stdout: string; stderr: string }> {
workdir = await mkdtemp(join(tmpdir(), 'goal-tools-e2e-'))
const cwd = workdir
return new Promise((resolve, reject) => {
const launch = resolveExampleLaunch({
srcBin: binScript,
configArgs: [configPath],
tsconfigPath: repoTsconfig,
exposeInternals: true,
env: {
DSH_HOME: join(cwd, '.dsh'),
DSH_AGENTS_HOME: join(cwd, '.agents'),
},
})
const proc = spawn(launch.command, launch.args, {
cwd,
env: { ...process.env, ...launch.env },
stdio: ['pipe', 'pipe', 'pipe'],
})
child = proc
let stdout = ''
let stderr = ''
let pauseSent = false
let inputClosed = false
proc.stdout.setEncoding('utf8')
proc.stdout.on('data', (chunk: string) => {
stdout += chunk
if (!pauseSent && stdout.includes('GOAL CREATED') && stdout.includes('\n> ')) {
pauseSent = true
proc.stdin.write('pause\n')
}
if (!inputClosed && stdout.includes('GOAL PAUSED')) {
inputClosed = true
proc.stdin.end()
}
})
proc.stderr.setEncoding('utf8')
proc.stderr.on('data', (chunk: string) => { stderr += chunk })
const timer = setTimeout(() => {
proc.kill('SIGKILL')
reject(new Error(
`goal-tools e2e did not exit within ${PROCESS_TIMEOUT_MS / 1_000}s. stdout:\n${stdout}\nstderr:\n${stderr}`,
))
}, PROCESS_TIMEOUT_MS)
proc.on('exit', (code) => {
clearTimeout(timer)
if (code === 0) resolve({ stdout, stderr })
else reject(new Error(`goal-tools e2e exited ${String(code)}. stdout:\n${stdout}\nstderr:\n${stderr}`))
})
proc.on('error', (error) => { clearTimeout(timer); reject(error) })
proc.stdin.write('start\n')
})
}
describe('goal tools through a real Loader, app, and stdio process', () => {
it('creates, reads, and pauses one root goal with durable tool and state records', async () => {
const { stdout, stderr } = await runComposition()
expect(stderr).not.toContain('UNHANDLED')
expect(stdout).toContain('goal-tools e2e ready.')
expect(stdout).toContain('GOAL CREATED')
expect(stdout).toContain('GOAL PAUSED')
const logs = await jsonlFiles(join(workdir as string, '.sessions'))
expect(logs).toHaveLength(1)
const lines = (await readFile(logs[0] as string, 'utf8')).trimEnd().split('\n')
const events = lines.slice(1).map(line => JSON.parse(line) as SessionEvent)
const calls = events.filter(event => event.type === 'tool/call')
expect(calls.map(event => event.data.name)).toEqual(['create_goal', 'get_goal', 'update_goal'])
const results = events.filter(event => event.type === 'tool/result')
expect(results).toHaveLength(3)
expect(results.every(event => !event.data.isError)).toBe(true)
const changes = events
.filter(event => event.type === 'context/message' && event.data.source.kind === 'goal')
.map(event => event.type === 'context/message' ? decodeGoalChange(event.data.meta) : undefined)
expect(changes.map(change => change?.operation)).toEqual(['create', 'pause'])
expect(changes[1]).toMatchObject({ goal: { phase: 'paused', revision: 2, maxGoalRounds: 7 } })
expect(JSON.stringify(changes)).not.toContain('activation')
const headers = events.filter(event => event.type === 'request/header')
expect(JSON.stringify(headers)).toContain('infer goal intent')
expect(JSON.stringify(headers)).toContain('at least 3 consecutive goal rounds')
}, TEST_TIMEOUT_MS)
})
@@ -0,0 +1,374 @@
import { describe, expect, it } from 'vitest'
import { Context } from 'cordis'
import Loader from '@cordisjs/plugin-loader'
import AgentRegistry, { agentEvents } from '@deepseek-ai/dsh-agent'
import type { Agent, AgentStatus, InjectOptions } from '@deepseek-ai/dsh-agent'
import GoalService, { GoalId } from '@deepseek-ai/dsh-goal'
import type { GoalRef } from '@deepseek-ai/dsh-goal'
import { CallId } from '@deepseek-ai/dsh-llm'
import type { ContentBlock, MessageSource } from '@deepseek-ai/dsh-llm'
import { Session, SessionId } from '@deepseek-ai/dsh-session'
import SystemPrompt from '@deepseek-ai/dsh-system-prompt'
import ToolRegistry from '@deepseek-ai/dsh-tools'
import type { ToolExecutionResult } from '@deepseek-ai/dsh-tools'
import * as toolGoal from '@deepseek-ai/dsh-tool-goal'
interface StubAgent {
readonly agent: Agent
readonly session: Session
setStatus(status: AgentStatus): void
}
/** Build one registry-compatible live agent whose injections append in place. */
function stubAgent(rawId: string): StubAgent {
const session = new Session(SessionId(rawId))
let status: AgentStatus = 'running'
const agent: Agent = {
id: session.id,
options: {},
session,
get status() { return status },
ctx: new Context(),
send() {},
steer() {},
inject(content: ContentBlock[], options?: InjectOptions) {
const source = options?.source ?? { kind: 'user' }
session.append('context/message', {
content,
source,
...options?.envelope === undefined ? {} : { envelope: options.envelope },
...options?.meta === undefined ? {} : { meta: options.meta },
}, { surfaceOp: 'append' })
},
cancel() {},
whenIdle() { return Promise.resolve() },
}
return { agent, session, setStatus(value) { status = value } }
}
/** Open one message-triggered turn with its accepted model-visible input. */
function openTurn(stub: StubAgent, source: MessageSource, text = 'prompt'): number {
const turn = stub.session.events
.filter(event => event.type === 'turn/start')
.reduce((max, event) => Math.max(max, event.data.turn), 0) + 1
stub.session.append('turn/start', { turn, trigger: { kind: 'message', source } })
stub.session.append('user/message', {
content: [{ type: 'text', text }],
source,
}, { surfaceOp: 'append' })
return turn
}
/** Close the currently open test turn. */
function closeTurn(stub: StubAgent, turn: number): void {
stub.session.append('turn/end', { turn, reason: { kind: 'completed' } })
}
async function harness(config: toolGoal.Config = {}) {
const ctx = new Context()
await ctx.plugin(SystemPrompt)
await ctx.plugin(AgentRegistry)
await ctx.plugin(ToolRegistry)
await ctx.plugin(GoalService)
const fiber = await ctx.plugin(toolGoal, config)
const root = stubAgent(`goal-tool-root-${Math.random()}`)
ctx.agents.register(root.agent)
return { ctx, fiber, root }
}
/** Execute one registered tool under an optional driver initiator. */
async function execute(
ctx: Context,
name: string,
args: unknown,
agent?: Agent,
initiator: Agent | undefined = agent,
): Promise<ToolExecutionResult> {
const run = () => ctx.tools.execute({
callId: CallId(`call-${Math.random()}`),
name,
arguments: args,
...agent === undefined ? {} : { agent },
})
return initiator === undefined ? run() : ctx.agents.withInitiator(initiator, run)
}
/** Parse the compact JSON returned by a successful goal tool. */
function resultJson(result: ToolExecutionResult): Record<string, unknown> {
expect(result.isError).toBe(false)
const block = result.content[0]
if (block?.type !== 'text') throw new Error('expected text tool result')
return JSON.parse(block.text) as Record<string, unknown>
}
/** Read the returned goal sub-object. */
function resultGoal(result: ToolExecutionResult): Record<string, unknown> {
const goal = resultJson(result)['goal']
if (typeof goal !== 'object' || goal === null) throw new Error('expected returned goal')
return goal as Record<string, unknown>
}
describe('goal tool registration and presentation', () => {
it('registers three exclusive tools plus configured guidance and disposes all contributions', async () => {
const { ctx, fiber } = await harness({ blockedAfterConsecutiveRounds: 5 })
expect(['create_goal', 'get_goal', 'update_goal'].map(name => ctx.tools.get(name)?.name))
.toEqual(['create_goal', 'get_goal', 'update_goal'])
for (const name of ['create_goal', 'get_goal', 'update_goal']) {
expect(ctx.tools.executionMode({ callId: CallId(name), name, arguments: {} }))
.toEqual({ kind: 'exclusive' })
}
const section = (await ctx.systemPrompt.assemble()).sections.find(item => item.name === 'tool:goal')
expect(section?.text).toContain('infer goal intent')
expect(section?.text).toContain('at least 5 consecutive goal rounds')
await fiber.dispose()
expect(ctx.tools.get('get_goal')).toBeUndefined()
expect((await ctx.systemPrompt.assemble()).sections.some(item => item.name === 'tool:goal')).toBe(false)
})
it('uses args-only generic render intent and soft-fails malformed replay args', async () => {
const { ctx } = await harness()
expect(ctx.tools.get('get_goal')?.presentCall?.({})).toEqual({
card: 'generic', title: 'Read current goal', kind: 'read',
})
expect(ctx.tools.get('create_goal')?.presentCall?.({ objective: 'ship' })).toEqual({
card: 'generic', title: 'Create goal', kind: 'other', rawInput: 'ship',
})
expect(ctx.tools.get('update_goal')?.presentCall?.({
goal_id: 'goal-1', revision: 2, action: 'blocked',
})).toEqual({ card: 'generic', title: 'Mark goal', kind: 'other', rawInput: 'goal-1' })
expect(ctx.tools.get('update_goal')?.presentCall?.({
goal_id: 'goal-1', revision: 2, action: 'resume',
})).toEqual({ card: 'generic', title: 'Resume goal', kind: 'other', rawInput: 'goal-1' })
expect(ctx.tools.get('update_goal')?.presentCall?.({ wrong: true })).toBeUndefined()
})
it('has the Loader-safe namespace export shape', () => {
expect('default' in toolGoal).toBe(false)
expect(toolGoal.name).toBe('tool-goal')
expect(toolGoal.inject).toEqual(['agents', 'goals', 'tools', 'systemPrompt'])
const loader = Object.create(Loader.prototype) as Loader
expect(loader.unwrapExports(toolGoal)).toBe(toolGoal)
})
it('fails invalid direct config before registering anything', async () => {
const ctx = new Context()
await ctx.plugin(SystemPrompt)
await ctx.plugin(AgentRegistry)
await ctx.plugin(ToolRegistry)
await ctx.plugin(GoalService)
expect(() => {
toolGoal.apply(ctx, { blockedAfterConsecutiveRounds: 1.5 })
}).toThrow(
'blockedAfterConsecutiveRounds must be a positive safe integer',
)
expect(ctx.tools.get('get_goal')).toBeUndefined()
})
it('resolves the direct-apply default before registration', async () => {
const ctx = new Context()
await ctx.plugin(SystemPrompt)
await ctx.plugin(AgentRegistry)
await ctx.plugin(ToolRegistry)
await ctx.plugin(GoalService)
toolGoal.apply(ctx, {})
const section = (await ctx.systemPrompt.assemble()).sections.find(item => item.name === 'tool:goal')
expect(section?.text).toContain('at least 3 consecutive goal rounds')
})
})
describe('goal tool execution authority', () => {
it('lets a root model infer create intent from its accepted human turn', async () => {
const { ctx, root } = await harness()
openTurn(root, { kind: 'user' }, '请持续工作直到这个功能完成')
const result = await execute(ctx, 'create_goal', {
objective: 'Finish the feature', max_goal_rounds: 9,
}, root.agent)
expect(resultGoal(result)).toMatchObject({
objective: 'Finish the feature', revision: 1, phase: 'active', maxGoalRounds: 9,
})
expect(resultJson(result)['activation']).toBe('armed')
expect(ctx.goals.get(root.agent)?.objective).toBe('Finish the feature')
})
it('rejects agentless, driverless, non-human, and live-child creation', async () => {
const { ctx, root } = await harness()
const agentless = await execute(ctx, 'get_goal', {})
expect(agentless.error?.code).toBe('GOAL_TOOL_AGENT_REQUIRED')
openTurn(root, { kind: 'user' })
const driverless = await ctx.tools.execute({
callId: CallId('call-driverless'),
name: 'get_goal',
arguments: {},
agent: root.agent,
})
expect(driverless.error?.code).toBe('GOAL_TOOL_DRIVER_REQUIRED')
closeTurn(root, 1)
openTurn(root, { kind: 'plugin', plugin: 'test' })
const nonHuman = await execute(ctx, 'create_goal', { objective: 'forged' }, root.agent)
expect(nonHuman.error?.code).toBe('GOAL_TOOL_AUTHORITY_REQUIRED')
closeTurn(root, 2)
const child = stubAgent('goal-tool-child')
ctx.agents.enter(child.agent, root.agent)
ctx.agents.announce(child.agent)
openTurn(child, { kind: 'user' })
const childResult = await execute(ctx, 'create_goal', { objective: 'child goal' }, child.agent)
expect(childResult.error?.code).toBe('GOAL_TOOL_AUTHORITY_REQUIRED')
})
it('rejects calls before a turn and after its end boundary', async () => {
const { ctx, root } = await harness()
const before = await execute(ctx, 'get_goal', {}, root.agent)
expect(before.error?.code).toBe('GOAL_TOOL_DRIVER_REQUIRED')
const turn = openTurn(root, { kind: 'user' })
closeTurn(root, turn)
const after = await execute(ctx, 'get_goal', {}, root.agent)
expect(after.error?.code).toBe('GOAL_TOOL_DRIVER_REQUIRED')
})
it('rejects terminal reporting without human input or a current goal round', async () => {
const { ctx, root } = await harness()
openTurn(root, { kind: 'plugin', plugin: 'test' })
const result = await execute(ctx, 'update_goal', {
goal_id: 'goal-missing', revision: 1, action: 'complete',
}, root.agent)
expect(result.error?.code).toBe('GOAL_TOOL_AUTHORITY_REQUIRED')
})
it('accepts direct human steering in a goal-sourced root turn', async () => {
const { ctx, root } = await harness()
const humanTurn = openTurn(root, { kind: 'user' })
const created = ctx.goals.create(root.agent, { objective: 'steer me' })
closeTurn(root, humanTurn)
const round = openTurn(root, {
kind: 'goal', goalId: created.id, revision: created.revision, round: 1,
})
root.session.append('steering/message', {
turn: round,
content: [{ type: 'text', text: 'pause now' }],
source: { kind: 'user' },
}, { surfaceOp: 'append' })
const paused = await execute(ctx, 'update_goal', {
goal_id: created.id, revision: created.revision, action: 'pause',
}, root.agent)
expect(resultGoal(paused)).toMatchObject({ phase: 'paused', revision: 2 })
})
it('rejects an initiator different from exec.agent', async () => {
const { ctx, root } = await harness()
const other = stubAgent('goal-tool-other')
ctx.agents.register(other.agent)
openTurn(other, { kind: 'user' })
const result = await execute(ctx, 'get_goal', {}, other.agent, root.agent)
expect(result.error?.code).toBe('GOAL_TOOL_DRIVER_REQUIRED')
})
})
describe('goal tool state transitions', () => {
it('reads null, then edits, pauses, and resumes by exact revision in one human turn', async () => {
const { ctx, root } = await harness()
openTurn(root, { kind: 'user' })
expect(resultJson(await execute(ctx, 'get_goal', {}, root.agent))).toEqual({ goal: null })
let goal = resultGoal(await execute(ctx, 'create_goal', { objective: 'old' }, root.agent))
goal = resultGoal(await execute(ctx, 'update_goal', {
goal_id: goal['id'], revision: goal['revision'], action: 'edit',
objective: 'new', max_goal_rounds: 8,
}, root.agent))
expect(goal).toMatchObject({ objective: 'new', revision: 2, maxGoalRounds: 8 })
goal = resultGoal(await execute(ctx, 'update_goal', {
goal_id: goal['id'], revision: goal['revision'], action: 'pause',
}, root.agent))
expect(goal).toMatchObject({ phase: 'paused', revision: 3 })
goal = resultGoal(await execute(ctx, 'update_goal', {
goal_id: goal['id'], revision: goal['revision'], action: 'resume',
}, root.agent))
expect(goal).toMatchObject({ phase: 'active', revision: 4 })
})
it('rearms a restored active goal only after a new direct human prompt', async () => {
const { ctx, root } = await harness()
let turn = openTurn(root, { kind: 'user' })
const created = ctx.goals.create(root.agent, { objective: 'continue later' })
closeTurn(root, turn)
agentEvents(ctx, root.agent).emit('agent/session-start', 'resume')
expect(ctx.goals.get(root.agent)?.activation).toBe('disarmed')
turn = openTurn(root, { kind: 'user' }, '继续')
const resumed = await execute(ctx, 'update_goal', {
goal_id: created.id, revision: created.revision, action: 'resume',
}, root.agent)
expect(resultGoal(resumed)).toMatchObject({ phase: 'active', revision: 2 })
expect(resultJson(resumed)['activation']).toBe('armed')
closeTurn(root, turn)
})
it('returns structured domain and conditional-argument failures', async () => {
const { ctx, root } = await harness()
openTurn(root, { kind: 'user' })
const invalidCreate = await execute(ctx, 'create_goal', { objective: ' ' }, root.agent)
expect(invalidCreate.error?.code).toBe('GOAL_INVALID_OBJECTIVE')
const created = ctx.goals.create(root.agent, { objective: 'valid' })
const replacement = await execute(ctx, 'update_goal', {
goal_id: created.id,
revision: created.revision,
action: 'pause',
objective: 'not valid for pause',
}, root.agent)
expect(replacement.error?.code).toBe('GOAL_TOOL_INVALID_UPDATE')
const malformedRef = await execute(ctx, 'update_goal', {
goal_id: '', revision: 0, action: 'edit', objective: 'x',
}, root.agent)
expect(malformedRef.error?.code).toBe('GOAL_TOOL_INVALID_UPDATE')
})
it('allows exact goal rounds to complete but not edit or pause', async () => {
const { ctx, root } = await harness()
const humanTurn = openTurn(root, { kind: 'user' })
const created = ctx.goals.create(root.agent, { objective: 'round-owned' })
closeTurn(root, humanTurn)
openTurn(root, { kind: 'goal', goalId: created.id, revision: created.revision, round: 1 })
const edit = await execute(ctx, 'update_goal', {
goal_id: created.id, revision: created.revision, action: 'edit', objective: 'forbidden',
}, root.agent)
expect(edit.error?.code).toBe('GOAL_TOOL_AUTHORITY_REQUIRED')
const complete = await execute(ctx, 'update_goal', {
goal_id: created.id, revision: created.revision, action: 'complete',
}, root.agent)
expect(resultGoal(complete)).toMatchObject({ phase: 'complete', revision: 2, roundsStarted: 1 })
})
it('enforces the configured model self-block lower bound across admitted rounds', async () => {
const { ctx, root } = await harness({ blockedAfterConsecutiveRounds: 3 })
let turn = openTurn(root, { kind: 'user' })
const created = ctx.goals.create(root.agent, { objective: 'blocked eventually' })
closeTurn(root, turn)
const ref: GoalRef = { id: GoalId(created.id), revision: created.revision }
for (let round = 1; round <= 2; round += 1) {
turn = openTurn(root, { kind: 'goal', goalId: ref.id, revision: ref.revision, round })
const result = await execute(ctx, 'update_goal', {
goal_id: ref.id, revision: ref.revision, action: 'blocked',
}, root.agent)
expect(result.error?.code).toBe('GOAL_TOOL_BLOCK_THRESHOLD')
closeTurn(root, turn)
}
openTurn(root, { kind: 'goal', goalId: ref.id, revision: ref.revision, round: 3 })
const blocked = await execute(ctx, 'update_goal', {
goal_id: ref.id, revision: ref.revision, action: 'blocked',
}, root.agent)
expect(resultGoal(blocked)).toMatchObject({ phase: 'blocked', roundsStarted: 3 })
})
it('lets direct human authority block before the model threshold', async () => {
const { ctx, root } = await harness({ blockedAfterConsecutiveRounds: 9 })
openTurn(root, { kind: 'user' })
const created = ctx.goals.create(root.agent, { objective: 'human stop' })
const blocked = await execute(ctx, 'update_goal', {
goal_id: created.id, revision: created.revision, action: 'blocked',
}, root.agent)
expect(resultGoal(blocked)).toMatchObject({ phase: 'blocked', roundsStarted: 0 })
})
})
+39
View File
@@ -0,0 +1,39 @@
{
"extends": "../../../tsconfig.base.json",
"compilerOptions": {
"rootDir": "src",
"outDir": "lib/types"
},
"include": [
"src"
],
"references": [
{
"path": "../../../vendor/cosmokit"
},
{
"path": "../../../vendor/schemastery"
},
{
"path": "../../../vendor/cordis"
},
{
"path": "../../llm/llm"
},
{
"path": "../../core/session"
},
{
"path": "../../core/agent"
},
{
"path": "../../core/tools"
},
{
"path": "../../core/system-prompt"
},
{
"path": "../goal"
}
]
}
+37
View File
@@ -185,6 +185,9 @@ importers:
'@deepseek-ai/dsh-tool-fs-search':
specifier: workspace:*
version: link:../packages/fs/tool-fs-search
'@deepseek-ai/dsh-tool-goal':
specifier: workspace:*
version: link:../packages/goal/tool-goal
'@deepseek-ai/dsh-tool-subagent':
specifier: workspace:*
version: link:../packages/subagent/tool-subagent
@@ -1007,6 +1010,40 @@ importers:
specifier: ^4.0.0-rc.7
version: 4.0.0-rc.7(@cordisjs/plugin-include@1.0.4)(@cordisjs/plugin-loader@1.0.0-rc.5)
packages/goal/tool-goal:
dependencies:
schemastery:
specifier: ^3.18.0
version: 3.18.0
devDependencies:
'@cordisjs/plugin-loader':
specifier: workspace:^
version: link:../../../vendor/loader
'@deepseek-ai/dsh-agent':
specifier: workspace:^
version: link:../../core/agent
'@deepseek-ai/dsh-goal':
specifier: workspace:^
version: link:../goal
'@deepseek-ai/dsh-llm':
specifier: workspace:^
version: link:../../llm/llm
'@deepseek-ai/dsh-loader-smoke':
specifier: workspace:^
version: link:../../support/loader-smoke
'@deepseek-ai/dsh-session':
specifier: workspace:^
version: link:../../core/session
'@deepseek-ai/dsh-system-prompt':
specifier: workspace:^
version: link:../../core/system-prompt
'@deepseek-ai/dsh-tools':
specifier: workspace:^
version: link:../../core/tools
cordis:
specifier: ^4.0.0-rc.7
version: 4.0.0-rc.7(@cordisjs/plugin-include@1.0.4)(@cordisjs/plugin-loader@vendor+loader)
packages/guard/repeat-tool-guard:
dependencies:
schemastery:
+17
View File
@@ -10,6 +10,8 @@ import { globSync, readFileSync, writeFileSync } from 'node:fs'
import { basename, resolve } from 'node:path'
import { Context } from 'cordis'
import type { ToolSchema } from '@deepseek-ai/dsh-llm'
import AgentRegistry from '@deepseek-ai/dsh-agent'
import GoalService from '@deepseek-ai/dsh-goal'
import SystemPrompt from '@deepseek-ai/dsh-system-prompt'
import ToolRegistry, { type Config as ToolsConfig } from '@deepseek-ai/dsh-tools'
import LocalBashExecutor from '@deepseek-ai/dsh-bash-local'
@@ -28,6 +30,7 @@ import * as ToolBash from '@deepseek-ai/dsh-tool-bash'
import * as ToolCordis from '@deepseek-ai/dsh-tool-cordis'
import * as ToolFs from '@deepseek-ai/dsh-tool-fs'
import * as ToolFsSearch from '@deepseek-ai/dsh-tool-fs-search'
import * as ToolGoal from '@deepseek-ai/dsh-tool-goal'
import * as ToolSkill from '@deepseek-ai/dsh-tool-skill'
import * as ToolTasks from '@deepseek-ai/dsh-tool-tasks'
import * as ToolTodo from '@deepseek-ai/dsh-tool-todo'
@@ -178,6 +181,20 @@ const TOOL_PACKAGES: ToolPackage[] = [
note:
'glob and grep are bash-backed discovery tools: they 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.',
},
{
pkg: '@deepseek-ai/dsh-tool-goal',
dir: 'tool-goal',
source: 'packages/goal/tool-goal/src/index.ts',
requires: ['ctx.tools', 'ctx.agents', 'ctx.goals', 'ctx.systemPrompt', 'a calling Agent in an authorized open turn'],
writes: ['tool/call', 'context/message goal snapshot for mutations', 'tool/result'],
async mount(ctx) {
await ctx.plugin(AgentRegistry)
await ctx.plugin(GoalService)
await ctx.plugin(ToolGoal)
},
note:
'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.',
},
{
pkg: '@deepseek-ai/dsh-tool-skill',
dir: 'tool-skill',
+1
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@@ -26,6 +26,7 @@
{ "path": "./packages/core/system-prompt" },
{ "path": "./packages/core/agent" },
{ "path": "./packages/goal/goal" },
{ "path": "./packages/goal/tool-goal" },
{ "path": "./packages/context/time-context" },
{ "path": "./packages/ui/user-interaction" },
{ "path": "./packages/ui/user-approval" },
+1
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@@ -37,6 +37,7 @@
{ "path": "./packages/core/system-prompt" },
{ "path": "./packages/core/agent" },
{ "path": "./packages/goal/goal" },
{ "path": "./packages/goal/tool-goal" },
{ "path": "./packages/context/time-context" },
{ "path": "./packages/ui/user-interaction" },
{ "path": "./packages/ui/user-approval" },