Merge remote-tracking branch 'origin/master' into feat/todo-multi-in-progress

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Chinesezjc
2026-08-06 11:25:28 +08:00
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# 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 examples/README.md
README.md: 7f12178d1b67f1ebfac6f4f0e31403c54106e98f
README.zh.md: c7c1bf76593661616464558e554d57340d7c03b1
README.md: 5d021d9d9c7abae90b5f96bccd6447f4e2c3dc57
README.zh.md: 66b355a93c0a0e6b53d1353de4024b7f86e82f7c

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@@ -2,34 +2,24 @@
English | [中文](README.zh.md)
Runnable demos (not workspaces) that showcase how the harness is wired. Each example is a **thin leaf**: a `cordis.yml` that picks swappable backends, loads one app package, and may add optional product tools. The composition and boot glue live in [`@deepseek-ai/dsh-tui-demo`](../packages/examples/tui-demo), [`@deepseek-ai/dsh-cli-demo`](../packages/examples/cli-demo), [`@deepseek-ai/dsh-acp-demo`](../packages/examples/acp-demo), and their shared [`@deepseek-ai/dsh-agent-spine-demo`](../packages/examples/agent-spine-demo) bundle. There is no `start.ts`; the terminal `demo:*` scripts boot through the [`dsh`](../apps/cli/README.md) CLI (which mounts the `tui-demo` bundle), and the headless/ACP scripts invoke the `cli-demo`/`acp-demo` bins.
Runnable demonstrations of the main DeepSeek Harness interfaces and extension points. Each child directory owns its configuration, prerequisites, commands, and detailed behavior.
## mcp-memory
Optional overlays that connect supported third-party memory servers through the generic MCP client. See the [memory example reference](mcp-memory/README.md).
## headless-agent
A non-interactive agent demo that accepts one positional task, runs one complete model/tool turn on the `@deepseek-ai/dsh-cli-demo` app, persists a fresh session, prints `text`, `json`, or `stream-json`, and exits.
Run with: `pnpm run demo:headless "task"` (needs `DEEPSEEK_API_KEY`). See [headless-agent/README.md](headless-agent/README.md) for the output contract, safety boundaries, and snapshot suite.
## tui-agent
The interactive coding agent: DeepSeek V4, filesystem and bash tools, subagents, workflows, `todo_write`, compaction, and the full-screen TUI. It is also the home of TUI PTY and snapshot scenarios.
Run with: `pnpm run demo:tui` (needs `DEEPSEEK_API_KEY`). Run its Code Mode overlay with `pnpm run demo:code-mode`. See [tui-agent/README.md](tui-agent/README.md) for controls and composition.
A non-interactive agent that accepts one task, runs it, and emits a selected machine-readable or human-readable output format. See the [headless example reference](headless-agent/README.md).
## jsonrpc-agent
An unattended coding agent driven through the Python SDK: JSON-RPC stdio, foreground-only `bash`, `read` / `write` / `edit`, one foreground `subagent`, `todo_write`, JSONL persistence, and compaction. It excludes terminal UI, stdout logging, approvals, skills, and background task controls. See [jsonrpc-agent/README.md](jsonrpc-agent/README.md).
An unattended coding agent driven through the Python SDK and JSON-RPC. See the [JSON-RPC example reference](jsonrpc-agent/README.md).
## cordis-agent
## web-cordis
The **self-referential** demo: the coding spine plus [`@deepseek-ai/dsh-tool-cordis`](../packages/cordis/tool-cordis), whose three tools (`cordis_inspect` / `cordis_mount` / `cordis_unmount`) let the agent inspect the current DSH process, mount model-written temporary Plugins (an event listener, a brand-new tool, or a service another temporary Plugin injects), and unmount them again. These Plugins exist only in memory and share one internal `cordis-dynamic` fiber subtree; `ctx.fs`/`ctx.web` ride along provider-only as capabilities they can use.
Run the TUI with `pnpm run demo:cordis`, the browser UI at `http://127.0.0.1:3081` with `pnpm run demo:cordis web`, or the ACP server with `pnpm run demo:cordis acp` (all need `DEEPSEEK_API_KEY`). See [cordis-agent/README.md](cordis-agent/README.md) for the staged demo script and [the toolset Agent Note](../.agents/notes/implemented/feature/2026-07-08-self-referential-cordis-toolset.md) for the design and sandbox caveats.
A self-referential agent that can inspect and change its in-memory Cordis plugin tree. See the [web-cordis example reference](web-cordis/README.md).
## acp-agent
An agent exposed as an **Agent Client Protocol (ACP)** automation server over JSON-RPC stdio, via [`@deepseek-ai/dsh-acp-demo`](../packages/examples/acp-demo). Programmatic clients create fresh sessions, send text prompts, consume committed assistant text, answer one-shot permission requests, and cancel work. It owns the ACP keyless snapshot suite.
Run with: `pnpm run demo:acp` (needs `DEEPSEEK_API_KEY`); `pnpm run demo:code-mode acp` boots the same server in Code Mode via the `code-mode.cordis.yml` overlay. See [acp-agent/README.md](acp-agent/README.md) for the protocol and snapshot-test contracts.
The default `cordis.yml` composes [`@deepseek-ai/dsh-sandbox-local`](../packages/sandbox/sandbox-local), [`@deepseek-ai/dsh-bash-sandbox`](../packages/bash/bash-sandbox), and [`@deepseek-ai/dsh-user-approval`](../packages/ui/user-approval). `workspace-write` confines bash and filesystem mutations to each session workspace; a wider retry becomes a one-shot machine permission request over ACP.
An Agent Client Protocol automation server for programmatic clients, with session, permission, and cancellation support. See the [ACP example reference](acp-agent/README.md).

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[English](README.md) | 中文
展示 harness 如何组装的可运行演示(不是 workspace。每个示例都是一个 **轻量叶节点**一份选择可替换后端、加载一个应用包package并可添加可选产品工具的 `cordis.yml`。组合和启动粘合代码位于 [`@deepseek-ai/dsh-tui-demo`](../packages/examples/tui-demo)、[`@deepseek-ai/dsh-cli-demo`](../packages/examples/cli-demo)、[`@deepseek-ai/dsh-acp-demo`](../packages/examples/acp-demo) 及它们共享的 [`@deepseek-ai/dsh-agent-spine-demo`](../packages/examples/agent-spine-demo) 组合包中。没有 `start.ts`;终端 `demo:*` 脚本通过 [`dsh`](../apps/cli/README.md) CLI命令行界面启动该 CLI 挂载 `tui-demo` 组合包无头ACPAgent Client Protocol脚本则调用 `cli-demo`/`acp-demo` bin
展示 DeepSeek Harness 主要接口和扩展点的可运行演示。每个子目录负责自己的配置、前置条件、命令和详细行为
## mcp-memory
通过通用 MCP 客户端连接受支持第三方记忆服务器的可选 overlay。详见[记忆示例参考](mcp-memory/README.md)。
## headless-agent
非交互式 agent智能体演示:接受一个位置参数形式的任务,在 `@deepseek-ai/dsh-cli-demo` 应用上运行一个完整模型/工具轮次,持久化新会话,打印 `text``json``stream-json`,然后退出
运行:`pnpm run demo:headless "task"`(需要 `DEEPSEEK_API_KEY`)。输出契约、安全边界和快照套件详见 [headless-agent/README.md](headless-agent/README.md)。
## tui-agent
交互式编码 agentDeepSeek V4、文件系统与 bash 工具、subagent、工作流、`todo_write`、压缩compaction和全屏 TUI。这里也是 TUI PTY 与快照场景的归属地。
运行:`pnpm run demo:tui`(需要 `DEEPSEEK_API_KEY`)。使用 `pnpm run demo:code-mode` 运行其 Code Mode 覆盖。控制与组合详见 [tui-agent/README.md](tui-agent/README.md)。
非交互式 agent智能体接受一项任务并运行,然后以选定的机器可读或人类可读格式输出结果。详见[无头示例参考](headless-agent/README.md)
## jsonrpc-agent
通过 Python SDK 驱动的无人值守编码 agentJSON-RPC stdio、仅前台 `bash``read`/`write`/`edit`、一个前台 `subagent``todo_write`、JSONL 持久化和压缩。它不包含终端 UI、stdout 日志、批准、skill技能和后台任务控制。详见 [jsonrpc-agent/README.md](jsonrpc-agent/README.md)。
Python SDK 和 JSON-RPC 驱动的无人值守编码 agent。详见 [JSON-RPC 示例参考](jsonrpc-agent/README.md)。
## cordis-agent
## web-cordis
**自指** 演示:编码主干加 [`@deepseek-ai/dsh-tool-cordis`](../packages/cordis/tool-cordis),其三个工具(`cordis_inspect`/`cordis_mount`/`cordis_unmount`)使 agent 可以检查当前 DSH 进程、挂载模型编写的临时插件(事件监听器、一个全新工具,或一个供另一个临时插件注入的服务),并再次卸载它们。这些插件只存在于内存中,共享一个内部 `cordis-dynamic` fiber 子树;`ctx.fs`/`ctx.web` 仅作为它们可用的能力提供方
使用 `pnpm run demo:cordis` 运行 TUI使用 `pnpm run demo:cordis web``http://127.0.0.1:3081` 启动浏览器 UI或使用 `pnpm run demo:cordis acp` 启动 ACP 服务器(三者均需 `DEEPSEEK_API_KEY`)。分阶段演示脚本详见 [cordis-agent/README.md](cordis-agent/README.md),设计与沙箱注意事项详见[工具集 Agent Noteagent 决策记录)](../.agents/notes/implemented/feature/2026-07-08-self-referential-cordis-toolset.md)。
能够检查并更改内存中 Cordis 插件树的自指 agent。详见 [web-cordis 示例参考](web-cordis/README.md)
## acp-agent
一个通过 JSON-RPC stdio 公开、作为 **Agent Client Protocol (ACP)** 自动化服务器运行的 agent由 [`@deepseek-ai/dsh-acp-demo`](../packages/examples/acp-demo) 提供。程序化客户端可以创建新会话、发送文本提示词、消费已提交的 assistant 文本、回答一次性权限请求并取消工作。它拥有 ACP 无密钥快照套件。
运行:`pnpm run demo:acp`(需要 `DEEPSEEK_API_KEY``pnpm run demo:code-mode acp` 通过 `code-mode.cordis.yml` 覆盖以 Code Mode 启动同一服务器。协议与快照测试契约详见 [acp-agent/README.md](acp-agent/README.md)。
默认 `cordis.yml` 组合 [`@deepseek-ai/dsh-sandbox-local`](../packages/sandbox/sandbox-local)、[`@deepseek-ai/dsh-bash-sandbox`](../packages/bash/bash-sandbox) 和 [`@deepseek-ai/dsh-user-approval`](../packages/ui/user-approval)。`workspace-write` 将 bash 和文件系统变更限制在每个会话 workspace 中;请求更广泛沙箱权限的重试会通过 ACP 触发一次性的机器权限请求。
面向程序化客户端的 ACPAgent Client Protocol自动化服务器支持会话、权限和取消操作。详见 [ACP 示例参考](acp-agent/README.md)。

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# 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 examples/acp-agent/README.md
README.md: 0d63ec1f2d9165b9faf0817bd94fbe15b97fa961
README.zh.md: 84482aad8352ab38527dcf4d9e1bfefc8d496c91
README.md: 61c6efafe9dde4f91385beebdfd426c57006187b
README.zh.md: 343e55722a4dda7c5cc5e0de6b5fecf250b9ab13

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@@ -6,10 +6,10 @@ Automation-oriented [Agent Client Protocol](https://agentclientprotocol.com) ser
```sh
pnpm run demo:acp # needs DEEPSEEK_API_KEY (repo-root .env or env)
pnpm run demo:code-mode acp # same protocol with the Code Mode tool transport
pnpm run demo:code-mode # same protocol with the Code Mode tool transport
```
The leaf loads the ACP app, DeepSeek adapter, sandboxed bash and filesystem stacks, one-shot approval policy, compaction, subagents, workflows, hooks, a derived session-query index, and repeat guard. The app creates one fresh agent per `session/new`, persists sessions to JSONL, and keeps stdout protocol-pure. [`session-query.cordis.yml`](session-query.cordis.yml) explicitly opts into the workspace-authorized query tools and generic timeout/spill policies for their dedicated snapshot; [`fs.cordis.yml`](fs.cordis.yml) adds spill storage for filesystem scenarios, [`code-mode.cordis.yml`](code-mode.cordis.yml) adds `run_code` and its generated TypeScript SDK, and [`web.cordis.yml`](web.cordis.yml) adds the web seam, the local fetch provider, `web_fetch`, and a loopback HTML fixture server for the web-fetch snapshot.
The leaf loads the ACP app, DeepSeek adapter, sandboxed bash and filesystem stacks, one-shot approval policy, compaction, subagents, workflows, hooks, a derived session-query index, and repeat guard. The app creates one fresh agent per `session/new`, persists sessions to JSONL, and keeps stdout protocol-pure. Optional overlays add session queries, filesystem spill storage, Code Mode, or web fetching.
## Protocol channel
@@ -19,12 +19,6 @@ The automation contract — supported methods, baseline prompt content, committe
## Session workspaces and permissions
Each `session/new` supplies an absolute `cwd`. Sandboxed bash and filesystem mutations resolve `workspace-write` against that session cwd, so concurrent sessions can use separate project roots; platform temporary roots remain shared writable scratch space ([sandbox contract](../../packages/sandbox/sandbox/README.md)). `DSH_PERMISSION_MODE` selects `workspace-write` or `danger-full-access` for deployment and tests.
Each `session/new` supplies an absolute `cwd`. Sandboxed bash and filesystem mutations resolve `workspace-write` against that session cwd, so concurrent sessions can use separate project roots; platform temporary roots remain shared writable scratch space ([sandbox contract](../../packages/sandbox/sandbox/README.md)). `DSH_PERMISSION_MODE` selects `workspace-write` or `danger-full-access` for the deployment.
Under `workspace-write`, a model retry requesting wider sandbox access triggers `session/request_permission` with `allow_once` and `reject_once`. The client decides programmatically; dismissal or an unavailable answer fails closed. The selected outcome applies only to that retry and is recorded through the normal tool-result/audit path. The server never exposes a permission picker or persists client policy.
## Snapshot tests
This example owns the ACP snapshot suite. It boots the real automation server, replays committed model streams through `dsh-llm-replay`, and compares both normalized protocol output and re-persisted session logs. Recording uses the real model; refresh reuses committed replay input. Overrides cover throw/hang behavior, and optional `workspace/` fixtures seed world-state checks.
Most scenarios pin backend behavior rather than ACP-specific behavior; the [automation-only ACP decision](../../.agents/notes/implemented/simplification/2026-07-23-acp-automation-only-protocol.md#snapshot-boundary) owns why that coverage remains transport-coupled.

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[English](README.md) | 中文
通过 JSON-RPC stdio 提供的面向自动化的 [Agent Client ProtocolACP](https://agentclientprotocol.com) 服务器。它面向 parent agent父智能体、subagent 提供方和其他程序化客户端,而非产品 UI。
通过 JSON-RPC stdio 提供的面向自动化的 [ACPAgent Client Protocol](https://agentclientprotocol.com) 服务器。它面向 parent agent父智能体、subagent 提供方和其他程序化客户端,而非产品 UI。
```sh
pnpm run demo:acp # needs DEEPSEEK_API_KEY (repo-root .env or env)
pnpm run demo:code-mode acp # same protocol with the Code Mode tool transport
pnpm run demo:code-mode # same protocol with the Code Mode tool transport
```
该叶节点加载 ACP 应用、DeepSeek 适配器、受沙箱限制的 bash 与文件系统栈、一次性批准策略、压缩compaction、subagent、工作流、钩子、派生会话查询索引和重复守卫。应用为每次 `session/new` 创建一个新 agent将会话持久化到 JSONL并保持 stdout 只含协议内容。[`session-query.cordis.yml`](session-query.cordis.yml) 为其专用快照显式选用 workspace 授权的查询工具和通用超时/溢出策略;[`fs.cordis.yml`](fs.cordis.yml) 为文件系统场景添加溢出存储,[`code-mode.cordis.yml`](code-mode.cordis.yml) 添加 `run_code` 及其生成的 TypeScript SDK[`web.cordis.yml`](web.cordis.yml) 则为 web-fetch 快照添加 web seam、本地抓取提供方、`web_fetch` 与一个回环 HTML fixture测试前置数据服务器
该叶节点加载 ACP 应用、DeepSeek 适配器、受沙箱限制的 bash 与文件系统栈、一次性批准策略、压缩compaction、subagent、工作流、钩子、派生会话查询索引和重复守卫。应用为每次 `session/new` 创建一个新 agent将会话持久化到 JSONL并保持 stdout 只含协议内容。可选 overlay 可添加会话查询、文件系统溢出存储、Code Mode 或 Web 抓取
## 协议通道
@@ -19,12 +19,6 @@ Stdout 只携带以换行分隔的 ACP JSON-RPC。`@deepseek-ai/dsh-acp-demo`
## 会话 workspace 与权限
每次 `session/new` 都提供一个绝对 `cwd`。受沙箱限制的 bash 和文件系统修改会以该会话 cwd 为基准应用 `workspace-write`,因此并发会话可以使用不同的项目根目录;平台临时根目录仍是共享可写暂存空间(参见[沙箱契约](../../packages/sandbox/sandbox/README.md))。`DSH_PERMISSION_MODE` 部署和测试中选择 `workspace-write``danger-full-access`
每次 `session/new` 都提供一个绝对 `cwd`。受沙箱限制的 bash 和文件系统修改会以该会话 cwd 为基准应用 `workspace-write`,因此并发会话可以使用不同的项目根目录;平台临时根目录仍是共享可写暂存空间(参见[沙箱契约](../../packages/sandbox/sandbox/README.md))。`DSH_PERMISSION_MODE` 部署选择 `workspace-write``danger-full-access`
`workspace-write` 下,如果模型重试请求更广泛的沙箱访问权限,就会触发 `session/request_permission`,选项为 `allow_once``reject_once`。客户端以程序方式决策;客户端放弃选择或无法给出答复时,系统会按拒绝处理。选定结果仅适用于该次重试,并通过常规工具结果/审计路径记录。服务器绝不公开权限选择器,也不持久化客户端策略。
## 快照测试
此示例拥有 ACP 快照套件。它会启动真实自动化服务器,通过 `dsh-llm-replay` 回放已提交的模型流,并比较规范化后的协议输出与重新持久化的会话日志。录制使用真实模型;刷新会复用已提交的回放输入。覆盖配置涵盖抛错/挂起行为,可选的 `workspace/` fixture 则为环境状态检查预置状态。
大多数场景锁定后端行为,而非 ACP 专用行为;[仅面向自动化的 ACP 决策](../../.agents/notes/implemented/simplification/2026-07-23-acp-automation-only-protocol.md#snapshot-boundary)说明了为何该覆盖仍与传输层耦合。

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@@ -10,7 +10,7 @@
- id: acp-agent
name: '@deepseek-ai/dsh-acp-demo'
config:
provider: deepseek
provider: deepseek-official
model: deepseek-v4-flash
persistenceRoot: !!js process.env.DSH_SNAPSHOT_SESSIONS_ROOT ?? './.sessions'
persistenceCompression: 'none'
@@ -31,7 +31,7 @@
name: '@deepseek-ai/dsh-llm-replay'
config:
providers:
- id: deepseek
- id: deepseek-official
name: DeepSeek
models:
- id: deepseek-v4-flash

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@@ -8,7 +8,7 @@
- id: acp-agent
name: '@deepseek-ai/dsh-acp-demo'
config:
provider: deepseek
provider: deepseek-official
model: deepseek-v4-pro
persistenceRoot: !!js process.env.DSH_SNAPSHOT_SESSIONS_ROOT ?? './.sessions'
persistenceCompression: !!js "process.env.DSH_SNAPSHOT === undefined ? 'zstd' : 'none'"

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@@ -12,7 +12,7 @@
- id: acp-agent
name: '@deepseek-ai/dsh-acp-demo'
config:
provider: deepseek
provider: deepseek-official
model: deepseek-v4-flash
persistenceRoot: !!js process.env.DSH_SNAPSHOT_SESSIONS_ROOT ?? './.sessions'
persistenceCompression: 'none'
@@ -31,7 +31,7 @@
name: '@deepseek-ai/dsh-llm-replay'
config:
providers:
- id: deepseek
- id: deepseek-official
name: DeepSeek
models:
- id: deepseek-v4-flash

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@@ -10,7 +10,7 @@
- id: acp-agent
name: '@deepseek-ai/dsh-acp-demo'
config:
provider: deepseek
provider: deepseek-official
model: deepseek-v4-pro
persistenceRoot: !!js process.env.DSH_SNAPSHOT_SESSIONS_ROOT ?? './.sessions'
persistenceCompression: !!js "process.env.DSH_SNAPSHOT === undefined ? 'zstd' : 'none'"

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@@ -11,7 +11,7 @@
- id: acp-agent
name: '@deepseek-ai/dsh-acp-demo'
config:
provider: deepseek
provider: deepseek-official
model: deepseek-v4-flash
persistenceRoot: !!js process.env.DSH_SNAPSHOT_SESSIONS_ROOT ?? './.sessions'
persistenceCompression: 'none'

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@@ -8,7 +8,7 @@
- id: acp-agent
name: '@deepseek-ai/dsh-acp-demo'
config:
provider: deepseek
provider: deepseek-official
model: deepseek-v4-pro
persistenceRoot: !!js process.env.DSH_SNAPSHOT_SESSIONS_ROOT ?? './.sessions'
persistenceCompression: !!js "process.env.DSH_SNAPSHOT === undefined ? 'zstd' : 'none'"

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@@ -12,7 +12,7 @@
- id: acp-agent
name: '@deepseek-ai/dsh-acp-demo'
config:
provider: deepseek
provider: deepseek-official
model: deepseek-v4-flash
persistenceRoot: !!js process.env.DSH_SNAPSHOT_SESSIONS_ROOT ?? './.sessions'
persistenceCompression: 'none'
@@ -31,7 +31,7 @@
name: '@deepseek-ai/dsh-llm-replay'
config:
providers:
- id: deepseek
- id: deepseek-official
name: DeepSeek
models:
- id: deepseek-v4-flash

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@@ -1,6 +1,6 @@
# Code Mode adds `ctx.codeRuntime` and changes the registry to one wire tool,
# `run_code`, plus its generated TypeScript SDK prompt. The app bin selects this
# overlay for `demo:code-mode acp` and snapshot recording, and selects the sibling
# overlay for `demo:code-mode` and snapshot recording, and selects the sibling
# replay overlay for `DSH_SNAPSHOT=replay`. A config patch replaces the whole app
# config, so unchanged base fields are restated below.
- id: base
@@ -11,7 +11,7 @@
- id: acp-agent
name: '@deepseek-ai/dsh-acp-demo'
config:
provider: deepseek
provider: deepseek-official
model: deepseek-v4-pro
persistenceRoot: !!js process.env.DSH_SNAPSHOT_SESSIONS_ROOT ?? './.sessions'
persistenceCompression: !!js "process.env.DSH_SNAPSHOT === undefined ? 'zstd' : 'none'"

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@@ -39,6 +39,12 @@ flowchart LR
cfg --> plugin_acp_subagent_spawn
plugin_acp_subagent_fork["subagent-fork<br/>@deepseek-ai/dsh-subagent-fork"]
cfg --> plugin_acp_subagent_fork
plugin_acp_tool_subagent_control["tool-subagent-control<br/>@deepseek-ai/dsh-tool-subagent-control"]
cfg --> plugin_acp_tool_subagent_control
plugin_acp_tool_subagent_list_agents["tool-subagent-list-agents<br/>@deepseek-ai/dsh-tool-subagent-control/list-agents"]
cfg --> plugin_acp_tool_subagent_list_agents
plugin_acp_tool_subagent_report["tool-subagent-report<br/>@deepseek-ai/dsh-tool-subagent-report"]
cfg --> plugin_acp_tool_subagent_report
plugin_acp_tool_subagent["tool-subagent<br/>@deepseek-ai/dsh-tool-subagent"]
cfg --> plugin_acp_tool_subagent
plugin_acp_tool_subagent_fork["tool-subagent-fork<br/>@deepseek-ai/dsh-tool-subagent"]
@@ -79,6 +85,9 @@ flowchart LR
| `subagent` | `@deepseek-ai/dsh-subagent` |
| `subagent-spawn` | `@deepseek-ai/dsh-subagent-spawn` |
| `subagent-fork` | `@deepseek-ai/dsh-subagent-fork` |
| `tool-subagent-control` | `@deepseek-ai/dsh-tool-subagent-control` |
| `tool-subagent-list-agents` | `@deepseek-ai/dsh-tool-subagent-control/list-agents` |
| `tool-subagent-report` | `@deepseek-ai/dsh-tool-subagent-report` |
| `tool-subagent` | `@deepseek-ai/dsh-tool-subagent` |
| `tool-subagent-fork` | `@deepseek-ai/dsh-tool-subagent` |
| `workflow-workerthread` | `@deepseek-ai/dsh-workflow-workerthread` |

View File

@@ -22,7 +22,7 @@
- id: acp-agent
name: '@deepseek-ai/dsh-acp-demo'
config:
provider: deepseek
provider: deepseek-official
model: deepseek-v4-flash
persistenceRoot: !!js process.env.DSH_SNAPSHOT_SESSIONS_ROOT ?? './.sessions'
# Replay fixtures are raw JSONL; the whole-config patch must restate
@@ -50,8 +50,12 @@
name: '@deepseek-ai/dsh-llm-replay'
config:
providers:
- id: deepseek
- id: deepseek-official
name: DeepSeek
models:
- id: deepseek-v4-flash
- id: deepseek-v4-pro
# Authored scenarios can fence a later parent action on the real
# child settlement edge without exposing a test-only model tool.
- id: subagent-settlement-marker
name: './tests/fixtures/subagent-settlement-marker.ts'

View File

@@ -5,7 +5,7 @@
# carries ACP JSON-RPC.
# The DeepSeek adapter. Shipped default: full thinking at max effort on every
# request (wire-only defaults; they never enter the request header).
# request; exact-model resolution materializes request defaults before logging.
- id: llm-deepseek
name: '@deepseek-ai/dsh-llm-deepseek'
config:
@@ -13,7 +13,6 @@
baseURL: !!js process.env.DEEPSEEK_BASE_URL
thinking: enabled
reasoningEffort: max
defaultContextWindow: 256000
models:
- id: deepseek-v4-flash
- id: deepseek-v4-pro
@@ -54,7 +53,7 @@
- id: acp-agent
name: '@deepseek-ai/dsh-acp-demo'
config:
provider: deepseek
provider: deepseek-official
model: deepseek-v4-pro
persistenceRoot: !!js process.env.DSH_SNAPSHOT_SESSIONS_ROOT ?? './.sessions'
persistenceCompression: !!js "process.env.DSH_SNAPSHOT === undefined ? 'zstd' : 'none'"
@@ -97,11 +96,25 @@
config:
providerName: fork
# Continuable background children are selected per delegation tool. The
# separately loaded control package registers the global `send_message`; its
# list plugin registers `list_agents` and requires the app's session query.
# `report` is installed only in continuable child scopes.
- id: tool-subagent-control
name: '@deepseek-ai/dsh-tool-subagent-control'
- id: tool-subagent-list-agents
name: '@deepseek-ai/dsh-tool-subagent-control/list-agents'
- id: tool-subagent-report
name: '@deepseek-ai/dsh-tool-subagent-report'
- id: tool-subagent
name: '@deepseek-ai/dsh-tool-subagent'
config:
provider: spawn
toolName: subagent
backgroundMode: continuable
maxDepth: 1
- id: tool-subagent-fork
@@ -109,6 +122,7 @@
config:
provider: fork
toolName: subagent_fork
backgroundMode: continuable
maxDepth: 1

View File

@@ -23,6 +23,7 @@
config:
provider: spawn
toolName: subagent
backgroundMode: continuable
maxDepth: 2
# Re-pin the recorded model: cordis.yml ships deepseek-v4-pro, but this
# scenario's corpus was captured on flash. A config patch replaces the
@@ -30,7 +31,7 @@
- id: acp-agent
name: '@deepseek-ai/dsh-acp-demo'
config:
provider: deepseek
provider: deepseek-official
model: deepseek-v4-flash
persistenceRoot: !!js process.env.DSH_SNAPSHOT_SESSIONS_ROOT ?? './.sessions'
persistenceCompression: none
@@ -45,7 +46,7 @@
name: '@deepseek-ai/dsh-llm-replay'
config:
providers:
- id: deepseek
- id: deepseek-official
name: DeepSeek
models:
- id: deepseek-v4-flash

View File

@@ -10,4 +10,5 @@
config:
provider: spawn
toolName: subagent
backgroundMode: continuable
maxDepth: 2

View File

@@ -15,7 +15,7 @@
- id: acp-agent
name: '@deepseek-ai/dsh-acp-demo'
config:
provider: deepseek
provider: deepseek-official
model: deepseek-v4-flash
persistenceRoot: !!js process.env.DSH_SNAPSHOT_SESSIONS_ROOT ?? './.sessions'
persistenceCompression: none
@@ -38,7 +38,7 @@
name: '@deepseek-ai/dsh-llm-replay'
config:
providers:
- id: deepseek
- id: deepseek-official
name: DeepSeek
models:
- id: deepseek-v4-flash

View File

@@ -0,0 +1,38 @@
# Keyless runner-classification composition: replay authored model turns and
# replace the shipping provider with a deterministic process-launch stand-in.
- id: base
name: '@cordisjs/plugin-include'
config:
path: ./cordis.yml
patches:
- id: llm-deepseek
name: '@deepseek-ai/dsh-llm-deepseek'
disabled: true
- id: sandbox
name: '@deepseek-ai/dsh-sandbox-local'
disabled: true
- id: acp-agent
name: '@deepseek-ai/dsh-acp-demo'
config:
provider: deepseek-official
model: deepseek-v4-flash
persistenceRoot: !!js process.env.DSH_SNAPSHOT_SESSIONS_ROOT ?? './.sessions'
persistenceCompression: none
workspaceContext:
maxBytes: 65536
persona: |
You are a coding assistant powered by the {{model}} model. Your working directory is {{cwd}}. Your bash tool runs under a file sandbox — a `[sandbox: file access denied …]` result is policy, not a command bug.
Verify your work by running the code or tests. Keep answers brief and factual.
- insert:
- id: llm-replay
name: '@deepseek-ai/dsh-llm-replay'
config:
providers:
- id: deepseek-official
name: DeepSeek
models:
- id: deepseek-v4-flash
- id: deepseek-v4-pro
- id: partial-landlock-sandbox
name: './tests/fixtures/partial-landlock-sandbox.ts'

View File

@@ -0,0 +1,13 @@
# Live counterpart for the runner-classification snapshot overlay. It replaces
# only the sandbox provider; authored scenarios are skipped in record mode.
- id: base
name: '@cordisjs/plugin-include'
config:
path: ./cordis.yml
patches:
- id: sandbox
name: '@deepseek-ai/dsh-sandbox-local'
disabled: true
- insert:
- id: partial-landlock-sandbox
name: './tests/fixtures/partial-landlock-sandbox.ts'

View File

@@ -20,7 +20,7 @@
name: '@deepseek-ai/dsh-llm-replay'
config:
providers:
- id: deepseek
- id: deepseek-official
name: DeepSeek
models:
- id: deepseek-v4-flash

View File

@@ -13,7 +13,7 @@
- id: acp-agent
name: '@deepseek-ai/dsh-acp-demo'
config:
provider: deepseek
provider: deepseek-official
model: deepseek-v4-flash
persistenceRoot: !!js process.env.DSH_SNAPSHOT_SESSIONS_ROOT ?? './.sessions'
persistenceCompression: none
@@ -28,7 +28,7 @@
name: '@deepseek-ai/dsh-llm-replay'
config:
providers:
- id: deepseek
- id: deepseek-official
name: DeepSeek
retryPolicy:
mode: normal

View File

@@ -17,7 +17,6 @@
baseURL: !!js process.env.DEEPSEEK_BASE_URL
thinking: enabled
reasoningEffort: max
defaultContextWindow: 256000
retryPolicy:
mode: normal
maxRetries: 2
@@ -31,7 +30,7 @@
- id: acp-agent
name: '@deepseek-ai/dsh-acp-demo'
config:
provider: deepseek
provider: deepseek-official
model: deepseek-v4-flash
persistenceRoot: !!js process.env.DSH_SNAPSHOT_SESSIONS_ROOT ?? './.sessions'
persistenceCompression: !!js "process.env.DSH_SNAPSHOT === undefined ? 'zstd' : 'none'"

View File

@@ -13,7 +13,7 @@
- id: acp-agent
name: '@deepseek-ai/dsh-acp-demo'
config:
provider: deepseek
provider: deepseek-official
model: deepseek-v4-flash
persistenceRoot: !!js process.env.DSH_SNAPSHOT_SESSIONS_ROOT ?? './.sessions'
persistenceCompression: none
@@ -36,14 +36,14 @@
- id: sandbox-policy
name: '@deepseek-ai/dsh-sandbox-policy'
config:
mode: danger-full-access
mode: workspace-write
workspaceRoot: /tmp
- insert:
- id: llm-replay
name: '@deepseek-ai/dsh-llm-replay'
config:
providers:
- id: deepseek
- id: deepseek-official
name: DeepSeek
models:
- id: deepseek-v4-flash

View File

@@ -12,7 +12,7 @@
- id: acp-agent
name: '@deepseek-ai/dsh-acp-demo'
config:
provider: deepseek
provider: deepseek-official
model: deepseek-v4-flash
persistenceRoot: !!js process.env.DSH_SNAPSHOT_SESSIONS_ROOT ?? './.sessions'
persistenceCompression: none
@@ -28,7 +28,7 @@
config:
overrideFile: ./.missing-main-replay-override.json
providers:
- id: deepseek
- id: deepseek-official
name: DeepSeek
models:
- id: deepseek-v4-flash

View File

@@ -15,5 +15,5 @@
maxInputBytes: 4096
maxOutputTokens: 32
timeoutMs: 5000
provider: deepseek
provider: deepseek-official
model: deepseek-v4-flash

View File

@@ -0,0 +1,45 @@
# Keyless counterpart to subagent-durability-failure.cordis.yml: replace the
# live adapter with replay and fail the provider-owned final child checkpoint.
- id: base
name: '@cordisjs/plugin-include'
config:
path: ./cordis.yml
patches:
- id: llm-deepseek
name: '@deepseek-ai/dsh-llm-deepseek'
disabled: true
- id: acp-agent
name: '@deepseek-ai/dsh-acp-demo'
config:
provider: deepseek-official
model: deepseek-v4-flash
persistenceRoot: !!js process.env.DSH_SNAPSHOT_SESSIONS_ROOT ?? './.sessions'
persistenceCompression: none
workspaceContext:
maxBytes: 65536
persona: |
You are a coding assistant powered by the {{model}} model. Your working directory is {{cwd}}. Your bash tool runs under a file sandbox — a `[sandbox: file access denied …]` result is policy, not a command bug.
Verify your work by running the code or tests. Keep answers brief and factual.
- id: sandbox
name: '@deepseek-ai/dsh-sandbox-local'
config:
runnerCommand:
- bash
- -c
- while [ "$1" != "--" ]; do shift; done; shift; exec "$@"
- passthrough-runner
runnerFailureSignatures:
- 'passthrough-runner: profile rejected'
- insert:
- id: llm-replay
name: '@deepseek-ai/dsh-llm-replay'
config:
providers:
- id: deepseek-official
name: DeepSeek
models:
- id: deepseek-v4-flash
- id: deepseek-v4-pro
- id: subagent-durability-failure
name: './tests/fixtures/subagent-durability-failure.ts'

View File

@@ -0,0 +1,10 @@
# Snapshot-only durability-failure overlay. The child turn's ordinary flush
# succeeds; the provider-owned final confirmation fails deterministically.
- id: base
name: '@cordisjs/plugin-include'
config:
path: ./cordis.yml
patches:
- insert:
- id: subagent-durability-failure
name: './tests/fixtures/subagent-durability-failure.ts'

View File

@@ -1,9 +1,12 @@
import { fileURLToPath } from 'node:url'
import { readFileSync } from 'node:fs'
import { spawnSync } from 'node:child_process'
import { mkdir, utimes, writeFile } from 'node:fs/promises'
import { dirname, join } from 'node:path'
import { homedir } from 'node:os'
import { expect, it } from 'vitest'
import { defineAcpSnapshotSuite, type Scenario, type SnapshotSuiteOptions } from '@deepseek-ai/dsh-acp-snapshot'
import { resolvePwshPath } from '@deepseek-ai/dsh-pwsh-local'
import { decodeStorageRecord } from '@deepseek-ai/dsh-session'
/**
@@ -40,11 +43,53 @@ const DEPTH_TWO_CONFIG = fileURLToPath(new URL('../depth-two.cordis.yml', import
const SESSION_SANDBOX_ROOT_CONFIG = fileURLToPath(new URL('../session-sandbox-root.cordis.yml', import.meta.url))
const RETRY_CONFIG = fileURLToPath(new URL('../retry.cordis.yml', import.meta.url))
const SESSION_TITLE_CONFIG = fileURLToPath(new URL('../session-title.cordis.yml', import.meta.url))
const SUBAGENT_DURABILITY_FAILURE_CONFIG = fileURLToPath(
new URL('../subagent-durability-failure.cordis.yml', import.meta.url),
)
const LSP_CONFIG = fileURLToPath(new URL('./lsp.cordis.yml', import.meta.url))
const WEB_CONFIG = fileURLToPath(new URL('../web.cordis.yml', import.meta.url))
const FS_SEARCH_CONFIG = fileURLToPath(new URL('./fs-search.cordis.yml', import.meta.url))
const PARTIAL_LANDLOCK_CONFIG = fileURLToPath(new URL('../partial-landlock.cordis.yml', import.meta.url))
const PWSH_CONFIG = fileURLToPath(new URL('./pwsh.cordis.yml', import.meta.url))
const SNAPSHOTS_DIR = join(dirname(fileURLToPath(import.meta.url)), 'snapshots')
const PACKED_CHUNKS_SOURCE = 'hook-cc-pretool-deny'
async function prepareDelimiterPathWorkspace(cwd: string): Promise<void> {
const dir = join(cwd, 'scope</system-reminder>')
await mkdir(dir, { recursive: true })
await Promise.all([
writeFile(join(dir, 'AGENTS.md'), 'Delimiter path snapshot instruction.\n'),
writeFile(join(dir, 'task.txt'), 'delimiter path snapshot task\n'),
])
}
/**
* Seed the over-cap glob fixture: eight files under `tree/` with fixed mtimes,
* so the packaged ripgrep's `--sort=modified` order is deterministic — three
* files under `archive/`, one each under `docs/`, `src/`, and `test/`, plus
* two flat files (six top-level entries). Scoping the search to `tree/` keeps
* the harness's own session artifacts out of the listing.
*/
async function prepareFsSearchWorkspace(cwd: string): Promise<void> {
const tree = join(cwd, 'tree')
const files: Array<[relative: string, mtime: Date]> = [
[join('archive', 'a.ts'), new Date(2000, 0, 1, 0, 0, 0, 1)],
[join('archive', 'b.ts'), new Date(2000, 0, 1, 0, 0, 0, 2)],
[join('archive', 'c.ts'), new Date(2000, 0, 1, 0, 0, 0, 3)],
[join('docs', 'guide.md'), new Date(2000, 0, 1, 0, 0, 0, 4)],
[join('src', 'index.ts'), new Date(2000, 0, 1, 0, 0, 0, 5)],
[join('test', 'spec.ts'), new Date(2000, 0, 1, 0, 0, 0, 6)],
['top.txt', new Date(2000, 0, 1, 0, 0, 0, 7)],
['notes.md', new Date(2000, 0, 1, 0, 0, 0, 8)],
]
for (const [relative, mtime] of files) {
const target = join(tree, relative)
await mkdir(dirname(target), { recursive: true })
await writeFile(target, 'fixture\n')
await utimes(target, mtime, mtime)
}
}
// FIXME: Migrate backend-oriented scenarios to the headless stream-json suite;
// this ACP suite should eventually retain only automation-protocol contracts.
@@ -101,6 +146,7 @@ const SCENARIOS: Scenario[] = [
name: 'session-query-spill',
hasModelTurn: true,
recorded: false,
overridden: true,
pinsHeader: true,
headerClass: 'session-query',
configPath: SESSION_QUERY_CONFIG,
@@ -115,6 +161,48 @@ const SCENARIOS: Scenario[] = [
configPath: PTY_CONFIG,
},
{ name: 'bash-tool-turn', hasModelTurn: true, recorded: true },
// The pwsh overlay (pwsh.cordis.yml / pwsh.cordis.snapshot.yml) swaps the
// bundle's bash tool for the PowerShell twin, so its header class pins its
// own prompt/tool sidecars and a recorded transcript.
{
name: 'pwsh-tool-turn',
hasModelTurn: true,
recorded: true,
pinsHeader: true,
headerClass: 'pwsh',
configPath: PWSH_CONFIG,
// The composition boots the real pwsh executor; hosts without a `pwsh`
// binary skip the run (fixtures stay guarded). The recorded turn writes
// PWSH_OK via [Console]::Out.Write so the fixture carries no platform
// newline and one recording replays on every host.
pwshOnly: true,
},
// Authored keyless replay through a test-only partial-Landlock provider:
// the exact compatibility notice must stay ordinary stderr when the wrapped
// `false` command exits 1, rather than becoming SANDBOX_UNAVAILABLE.
{
name: 'partial-landlock-child-failure',
hasModelTurn: true,
recorded: false,
headerClass: 'sandbox',
configPath: PARTIAL_LANDLOCK_CONFIG,
env: { DSH_PERMISSION_MODE: 'read-only' },
posixOnly: true,
},
// A valid cwd plus a missing provider executable exercises the assembled
// foreground error and background task marker without a platform runner.
{
name: 'missing-sandbox-runner',
hasModelTurn: true,
recorded: false,
headerClass: 'sandbox',
configPath: PARTIAL_LANDLOCK_CONFIG,
env: {
DSH_PERMISSION_MODE: 'read-only',
DSH_SNAPSHOT_MISSING_SANDBOX_RUNNER: '1',
},
posixOnly: true,
},
{ name: 'todo-write', hasModelTurn: true, recorded: true },
{
name: 'skill-load',
@@ -137,6 +225,29 @@ const SCENARIOS: Scenario[] = [
hasModelTurn: true,
recorded: true,
},
// The real Loader/app/subprocess path executes the PACKAGED ripgrep binary
// against a prepared workspace whose fixed mtimes pin the
// `--sort=modified` order, pinning over-cap glob sampling without depending
// on a host-installed ripgrep binary or a PATH stand-in. POSIX-only because
// the displayed paths carry `/` separators the session-log comparison
// cannot normalize. Recorded (not authored): the assistant turn is a real
// model transcript; re-record with `test:snapshot:record -t fs-glob-sampling`
// and then `migrate:packed-session-fixtures`, which canonicalizes the live
// log's eager-drain-packed rows into the maximal-run layout replay produces.
// The recorded fixture's `request/header` config and `request/context` are
// normalized to the replay-produced minimal shape (the live adapter logs
// model capabilities like maxTokens/reasoningEffort that llm-replay has no
// data for), and its tool-result paths are canonicalized to `/` separators.
{
name: 'fs-glob-sampling',
hasModelTurn: true,
recorded: true,
posixOnly: true,
pinsHeader: true,
headerClass: 'fs-search',
configPath: FS_SEARCH_CONFIG,
prepareWorkspace: prepareFsSearchWorkspace,
},
{ name: 'fs-read', hasModelTurn: true, recorded: true },
{ name: 'fs-write', hasModelTurn: true, recorded: true },
{ name: 'fs-edit', hasModelTurn: true, recorded: true },
@@ -160,11 +271,13 @@ const SCENARIOS: Scenario[] = [
{ name: 'repeat-tool-guard', hasModelTurn: true, recorded: false },
// Authored replay: a root AGENTS.md pins the session prefix, then a read in
// nested/ discovers its narrower AGENTS.md as a raw, metadata-bearing
// injected user/message. Both AGENTS.md fixtures are symlinks to a sibling
// injected user/message. Both portable AGENTS.md fixtures are symlinks to a sibling
// AGENTS.canonical.md, so this scenario also guards that discovery follows a
// symlinked instruction file to its target's content. The scenario-specific
// config keeps home/root discovery hermetic, and the resulting prefix needs
// its own pinned header class.
// symlinked instruction file to its target's content. A second nested path
// containing a literal closing tag is created at runtime: Git cannot check
// that name out on Windows, so this delimiter-injection case is POSIX-only.
// The scenario-specific config keeps home/root discovery hermetic, and the
// resulting prefix needs its own pinned header class.
{
name: 'workspace-context',
hasModelTurn: true,
@@ -174,6 +287,8 @@ const SCENARIOS: Scenario[] = [
headerClass: 'workspace-context',
toolSchemasSource: 'text-turn',
configPath: WORKSPACE_CONTEXT_CONFIG,
prepareWorkspace: prepareDelimiterPathWorkspace,
posixOnly: true,
},
{ name: 'cancel', hasModelTurn: true, recorded: false, overridden: true },
// Cancelling a live bash call relies on POSIX process-group termination;
@@ -183,6 +298,50 @@ const SCENARIOS: Scenario[] = [
{ name: 'subagent-multi', hasModelTurn: true, recorded: true },
{ name: 'subagent-fork', hasModelTurn: true, recorded: true },
{ name: 'subagent-mixed', hasModelTurn: true, recorded: true },
// Authored continuable-subagent transcript: a background delegation returns
// only the durable subagent id, two send_message calls queue as later FIFO
// turns on that same child (the parent is never woken with their output),
// send_message to an unknown subagent id fails without delivering, and the
// child's retained handle is disposed child-first at teardown despite a
// failed final durability confirmation.
{
name: 'subagent-continuable',
hasModelTurn: true,
recorded: false,
pinsChildToolSchemas: [1],
configPath: SUBAGENT_DURABILITY_FAILURE_CONFIG,
},
// The in-process child is published before its first follow-up fails. The
// foreground tool retains both that run-result failure and an independent
// published-handle disposal failure.
{
name: 'subagent-published-run-failure',
env: { DSH_SUBAGENT_PUBLISHED_FAILURE: '1' },
hasModelTurn: true,
recorded: false,
overridden: true,
configPath: SUBAGENT_DURABILITY_FAILURE_CONFIG,
},
// Authored child-to-parent transcript: the child calls its scope-local
// `report`, quiet delivery reaches the idle parent without waking it, and a
// later parent turn consumes the logged report.
{
name: 'subagent-report',
hasModelTurn: true,
recorded: false,
pinsChildToolSchemas: [1],
},
// Authored durable-catalog transcript: the snapshot-only lifecycle marker
// fences the second parent turn behind the child's Activation end, so
// `list_agents` deterministically reads the persisted child as complete.
// The tool itself executes for real against the control service, session
// query, and JSONL persistence; the marker is not model-visible.
{
name: 'subagent-list-agents',
hasModelTurn: true,
recorded: false,
pinsChildToolSchemas: [1],
},
{
name: 'subagent-depth-two-rejection',
hasModelTurn: true,
@@ -212,10 +371,16 @@ const SCENARIOS: Scenario[] = [
headerClass: 'advanced',
configPath: ADVANCED_CONFIG,
},
// Prompt-submit blocks are authored keylessly. Admission rejects before a
// turn opens, so only the ACP stop reason is observable and no log is harvested.
// Prompt-submit blocks are authored keylessly with malformed matcher fields,
// which these matcherless events must ignore. Admission rejects before a turn
// opens, so only the ACP stop reason is observable and no log is harvested.
{ name: 'hook-cc-promptsubmit-block', hasModelTurn: false, recorded: false },
{ name: 'hook-codex-promptsubmit-block', hasModelTurn: false, recorded: false },
// Each invalid matcher follows a runnable prompt blocker. Reaching the replay
// model without any hook audit rows proves config loading is atomic through
// the real Loader/app path, rather than retaining the earlier valid group.
{ name: 'hook-cc-invalid-matcher', hasModelTurn: true, recorded: false },
{ name: 'hook-codex-invalid-matcher', hasModelTurn: true, recorded: false },
// The mid-turn seams fire during a real model turn, so each is recorded with its hook active
// (the model's reaction to a deny/block/force-continue is part of the captured transcript).
// SessionStart/SubagentStart are excluded because detached injection races log
@@ -237,12 +402,13 @@ const SCENARIOS: Scenario[] = [
// tool/code-dispatch events. Each overlay composes and pins its own header class.
{ name: 'code-mode-turn', hasModelTurn: true, recorded: true, pinsHeader: true, headerClass: 'code', configPath: CODE_MODE_CONFIG },
// A nested fs dispatch inside run_code discovers workspace instructions. The
// injected user/message must follow the outer result while retaining workspace
// provenance, which proves Code Mode carries deferred tool context end to end.
// projection enters the inbox after the outer result and becomes model-visible
// on the following step, retaining workspace provenance end to end.
{
name: 'code-mode-workspace-context',
hasModelTurn: true,
recorded: true,
recorded: false,
overridden: true,
pinsHeader: true,
headerClass: 'code-workspace-context',
systemPromptSource: 'code-mode-turn',
@@ -266,6 +432,7 @@ const SCENARIOS: Scenario[] = [
recorded: true,
pinsHeader: true,
headerClass: 'sandbox',
systemPromptSource: 'text-turn',
toolSchemasSource: 'text-turn',
env: { DSH_PERMISSION_MODE: 'workspace-write' },
},
@@ -299,11 +466,17 @@ const SCENARIOS: Scenario[] = [
},
]
// Hosts without a usable PowerShell skip the pwsh-tool-turn run (its fixtures
// stay guarded); the probe follows the executor's own resolution so a Windows
// host with only an install-location pwsh still runs the scenario.
const hasPwsh = spawnSync(resolvePwshPath(), ['-NoLogo', '-NoProfile', '-NonInteractive', '-Command', '$true'], { encoding: 'utf8' }).status === 0
defineAcpSnapshotSuite({
agent: AGENT,
snapshotsDir: SNAPSHOTS_DIR,
scenarios: SCENARIOS,
mode: snapshotModeFromEnv(process.env.DSH_SNAPSHOT),
hasPwsh,
})
it('packed ACP fixture retains every chunk row kind without changing the logical session', () => {
@@ -318,15 +491,25 @@ it('packed ACP fixture retains every chunk row kind without changing the logical
expect([...new Set(rowTypes)].sort()).toStrictEqual(['reasoning-chunks', 'text-chunks', 'tool-call-chunks'])
const withoutMessageId = (record: unknown): unknown => {
const cloned = structuredClone(record) as {
time?: unknown
type?: unknown
data?: { id?: unknown; message?: { id?: unknown } }
data?: {
durationMs?: unknown
id?: unknown
inserted?: Array<{ id?: unknown }>
message?: { id?: unknown }
}
}
delete cloned.time
if (cloned.type === 'agent/inbox/spliced') {
for (const message of cloned.data?.inserted ?? []) delete message.id
}
if (cloned.type === 'user/message') delete cloned.data?.id
if (cloned.type === 'assistant/message'
|| cloned.type === 'tool/result'
|| cloned.type === 'steering/message') {
|| cloned.type === 'tool/result') {
delete cloned.data?.message?.id
}
if (cloned.type === 'hook/result') delete cloned.data?.durationMs
return cloned
}
const logicalRecords = (records: readonly unknown[]): unknown[] => [

View File

@@ -0,0 +1,27 @@
# Minimal tool-pwsh composition: real app boot path, real pwsh executor, real
# foreground + background tool calls; driven by the package's loader.spec.ts.
- id: system-prompt
name: '@deepseek-ai/dsh-system-prompt'
- id: tools
name: '@deepseek-ai/dsh-tools'
- id: subprocess
name: '@deepseek-ai/dsh-subprocess-local'
- id: bash
name: '@deepseek-ai/dsh-pwsh-local'
config:
graceMs: 200
- id: bash-env
name: '@deepseek-ai/dsh-bash-env'
- id: tasks
name: '@deepseek-ai/dsh-tasks-local'
- id: tool-tasks
name: '@deepseek-ai/dsh-tool-tasks'
- id: tool-pwsh
name: '@deepseek-ai/dsh-tool-pwsh'

View File

@@ -0,0 +1,67 @@
#!/usr/bin/env node
/**
* Test driver: boot the tool-pwsh Loader composition, execute one real
* foreground and one real background pwsh command through the tool registry,
* and persist the observed model-visible output to `./pwsh-loader-report.json`
* for the package spec's inspect step.
*/
import { writeFile } from 'node:fs/promises'
import { boot, resolveConfigPath } from '@deepseek-ai/dsh-app-boot'
import { CallId } from '@deepseek-ai/dsh-llm'
const configPath = process.argv[2]
if (configPath === undefined) throw new Error('tool-pwsh driver requires a config path')
const ctx = await boot('tool-pwsh-loader-smoke', resolveConfigPath(configPath, undefined))
try {
const schema = ctx.tools.schemas().find(tool => tool.name === 'pwsh')
if (schema === undefined) throw new Error('pwsh tool not registered by the composition')
const prompt = (await ctx.systemPrompt.assemble()).sections.find(section => section.name === 'tool:pwsh')
const foreground = await ctx.tools.execute({
signal: new AbortController().signal,
callId: CallId('loader-fg'),
name: 'pwsh',
arguments: { command: 'Write-Output loader-ok', description: 'loader foreground' },
})
const foregroundText = foreground.content.filter(block => block.type === 'text').map(block => block.text).join('')
const background = await ctx.tools.execute({
signal: new AbortController().signal,
callId: CallId('loader-bg'),
name: 'pwsh',
arguments: {
command: 'Start-Sleep -Milliseconds 200; Write-Output loader-bg-ok',
description: 'loader background',
run_in_background: true,
},
})
const taskId = (background.value as { taskId: string }).taskId
// The output delta and the terminal status can land in separate reads
// (Windows flushes the child pipe at exit), so accumulate both.
let backgroundText = ''
const deadline = Date.now() + 10_000
while (Date.now() < deadline) {
const read = await ctx.tools.execute({
signal: new AbortController().signal,
callId: CallId('loader-bg-read'),
name: 'task_output',
arguments: { task_id: taskId },
})
backgroundText += read.content.filter(block => block.type === 'text').map(block => block.text).join('')
if (backgroundText.includes('loader-bg-ok') && backgroundText.includes('[status: completed')) break
await new Promise(resolve => setTimeout(resolve, 50))
}
await writeFile('./pwsh-loader-report.json', JSON.stringify({
schemaHasRunInBackground: Object.hasOwn(schema.parameters.properties as object, 'run_in_background'),
promptHasMarkerSection: prompt?.text.includes('Non-zero exits are reported as `[exit code: N]` markers') === true,
// Normalize PowerShell's platform line endings (CRLF on Windows, LF elsewhere).
foregroundText: foregroundText.replace(/\r\n/g, '\n'),
backgroundText: backgroundText.replace(/\r\n/g, '\n'),
}))
} finally {
await ctx.fiber.dispose()
}

View File

@@ -0,0 +1,41 @@
import { join } from 'node:path'
import type { ConfinedArgv, SandboxPolicy } from '@deepseek-ai/dsh-sandbox'
import { SandboxProvider } from '@deepseek-ai/dsh-sandbox'
const NOTICE = 'landlock-run: partial enforcement (older Landlock ABI)'
const MISSING_RUNNER_ENV = 'DSH_SNAPSHOT_MISSING_SANDBOX_RUNNER'
/**
* Snapshot-only provider for deterministic runner classification. Its default
* launch reproduces older-ABI Landlock; an explicit scenario flag selects a
* missing executable under the valid workspace cwd. Keep the Landlock tuple
* aligned with `RUNNER_FAILURE_RULES` in `packages/sandbox/sandbox-local/src/index.ts`.
*/
export default class PartialLandlockSandboxProvider extends SandboxProvider {
confine(argv: readonly string[], policy: SandboxPolicy): ConfinedArgv {
if (process.env[MISSING_RUNNER_ENV] === '1') {
return {
argv: [join(policy.workspaceRoot, '.dsh-missing-sandbox-runner'), ...argv],
enforcement: 'full',
denialSignatures: ['permission denied'],
runnerFailureRules: [{ fatalSignatures: ['snapshot-runner: '] }],
}
}
return {
argv: [
'bash',
'-c',
`printf '%s\\n' '${NOTICE}' >&2; exec "$@"`,
'partial-landlock-run',
...argv,
],
enforcement: 'partial',
denialSignatures: ['permission denied'],
runnerFailureRules: [{
allowedExitCodes: [125],
fatalSignatures: ['landlock-run: '],
informationalLines: [NOTICE],
}],
}
}
}

View File

@@ -0,0 +1,110 @@
import type { Context } from 'cordis'
import { SessionId } from '@deepseek-ai/dsh-session'
export const name = 'subagent-durability-failure'
export const inject = ['agents', 'sessionPersistence', 'subagents']
/**
* The authored parent transcript names the background child by a stable
* placeholder id, but the live continuable child is minted with a fresh random
* session id at run time. This snapshot-only overlay bridges that gap and forces
* deterministic ordering plus authored child durability failures:
*
* - `PLACEHOLDER_CHILD_ID` in a scripted `send_message` is remapped to the real
* child so both follow-ups queue onto the same live inbox in FIFO order.
* - The unknown-id `send_message` (`UNKNOWN_CHILD_ID`) resolves through a
* persistence load fenced behind both accepted follow-ups, so the transcript
* records the same order on every runner.
* - The child's final continuation turn fails its durability checkpoint with a
* fixed message, so the scenario proves child-first disposal survives a failed
* last flush.
* - Under `DSH_SUBAGENT_PUBLISHED_FAILURE`, a one-shot child's first
* follow-up fails after publication, so its model prompt never runs; its
* published handle then also fails disposal, so the parent observes both
* independent failures.
*/
const PLACEHOLDER_CHILD_ID = '33333333-3333-4333-8333-333333333333'
const UNKNOWN_CHILD_ID = '22222222-2222-4222-8222-222222222222'
/** The child continuation turn whose durability checkpoint is forced to fail. */
const FAILED_CHECKPOINT_TURN = 3
/** Fail the child checkpoint and stabilize the authored follow-up failure ordering. */
export function apply(ctx: Context): void {
const followupsAccepted = Promise.withResolvers<undefined>()
const publishedFailure = process.env.DSH_SUBAGENT_PUBLISHED_FAILURE === '1'
const persistence = ctx.sessionPersistence
const load = persistence.load.bind(persistence)
const agents = ctx.agents
const create = agents.create.bind(agents)
agents.create = async (options) => {
const handle = await create(options)
if (!publishedFailure || options.meta?.parentSession === undefined) return handle
handle.agent.followup = () => {
throw new Error('snapshot published run failed')
}
return {
...handle,
async dispose() {
await handle.dispose()
throw new Error('snapshot published handle disposal failed')
},
}
}
// The unavailable-child lookup is real asynchronous I/O. Fence it behind both
// authored follow-ups so runner speed cannot reorder the exact log.
persistence.load = async (id) => {
if (id === UNKNOWN_CHILD_ID) await followupsAccepted.promise
return load.call(persistence, id)
}
ctx.effect(() => () => {
agents.create = create
persistence.load = load
followupsAccepted.resolve(undefined)
}, 'subagent snapshot ordering')
// Remap the placeholder child id in a follow-up to the live child. The child
// id the model "knows" is authored into the transcript, while the running
// child is minted with a random id, so without this the follow-ups would
// never reach the live inbox.
let realChildId: string | undefined
const subagents = ctx.subagents as unknown as {
followup: (authority: unknown, childId: SessionId, content: unknown, options: unknown) => Promise<unknown>
}
const deliver = subagents.followup.bind(subagents)
subagents.followup = (authority, childId, content, options) => {
const mapped = childId === PLACEHOLDER_CHILD_ID && realChildId !== undefined
? SessionId(realChildId)
: childId
return deliver(authority, mapped, content, options)
}
// Both authored follow-ups reach the child inbox before the unknown-id lookup
// runs, so the queued FIFO order is what the transcript records. The first
// child enqueue is the initial delegation, which also pins the real child id.
let accepted = 0
ctx.on('agent/inbox/inserted', (agent) => {
if (agent.session.header.parentSession === undefined) return
if (realChildId === undefined) realChildId = agent.session.header.id
accepted += 1
if (accepted >= 3) followupsAccepted.resolve(undefined)
})
ctx.on('agent/pre-step', async (agent, _messages, _context, next) => {
if (agent.session.header.parentSession !== undefined) await followupsAccepted.promise
return next()
})
// The child's ordinary per-turn flushes succeed; only the final continuation
// turn's durability checkpoint fails, turning that turn/end into a durable
// error the parent never sees.
const childTurn = new WeakMap<object, number>()
ctx.on('session/event', (session, event) => {
if (session.header.parentSession === undefined || event.type !== 'turn/start') return
childTurn.set(session, event.data.turn)
})
ctx.on('session/flush', (session) => {
if (session.header.parentSession === undefined) return
if (childTurn.get(session) === FAILED_CHECKPOINT_TURN) throw new Error('snapshot disk full')
})
}

View File

@@ -0,0 +1,13 @@
import { writeFileSync } from 'node:fs'
import { join } from 'node:path'
import type { Context } from 'cordis'
import type {} from '@deepseek-ai/dsh-subagent'
export const name = 'subagent-settlement-marker'
/** Publish a workspace marker after a subagent lifecycle end. */
export function apply(ctx: Context): void {
ctx.on('subagent/end', () => {
writeFileSync(join(process.cwd(), '.dsh-snapshot-subagent-settled'), '')
})
}

View File

@@ -0,0 +1,35 @@
# Minimal keyless composition: real app, bash, and search tool; replayed model.
- id: llm-replay
name: '@deepseek-ai/dsh-llm-replay'
config:
providers:
- id: deepseek-official
name: DeepSeek
models:
- id: deepseek-v4-pro
- id: subprocess
name: '@deepseek-ai/dsh-subprocess-local'
- id: bash
name: '@deepseek-ai/dsh-bash-local'
- id: acp-agent
name: '@deepseek-ai/dsh-acp-demo'
config:
provider: deepseek-official
model: deepseek-v4-pro
persistenceRoot: !!js process.env.DSH_SNAPSHOT_SESSIONS_ROOT ?? './.sessions'
persistenceCompression: none
workspaceContext: false
skills:
enabled: false
toolTasks: false
goals: false
persona: You are a concise snapshot agent working in {{cwd}}.
- id: tool-fs-search
name: '@deepseek-ai/dsh-tool-fs-search'
config:
sampleOverCapGlobResults: true
globMaxResults: 4

View File

@@ -0,0 +1,34 @@
# Minimal live counterpart for the glob-sampling snapshot composition.
- id: llm-deepseek
name: '@deepseek-ai/dsh-llm-deepseek'
config:
apiKey: !!js process.env.DEEPSEEK_API_KEY
baseURL: !!js process.env.DEEPSEEK_BASE_URL
models:
- id: deepseek-v4-pro
- id: subprocess
name: '@deepseek-ai/dsh-subprocess-local'
- id: bash
name: '@deepseek-ai/dsh-bash-local'
- id: acp-agent
name: '@deepseek-ai/dsh-acp-demo'
config:
provider: deepseek-official
model: deepseek-v4-pro
persistenceRoot: !!js process.env.DSH_SNAPSHOT_SESSIONS_ROOT ?? './.sessions'
persistenceCompression: !!js "process.env.DSH_SNAPSHOT === undefined ? 'zstd' : 'none'"
workspaceContext: false
skills:
enabled: false
toolTasks: false
goals: false
persona: You are a concise snapshot agent working in {{cwd}}.
- id: tool-fs-search
name: '@deepseek-ai/dsh-tool-fs-search'
config:
sampleOverCapGlobResults: true
globMaxResults: 4

View File

@@ -2,13 +2,10 @@
"steps": [
{ "op": "initialize" },
{ "op": "newSession" },
{
"op": "promptAndWaitForAgentMessage",
"text": "Create a durable two-round goal for the ACP snapshot, inspect it, then report readiness.",
"waitForText": "GOAL ROUND ONE"
},
{ "op": "promptAndWaitForAgentMessage", "text": "Create a durable two-round goal for the ACP snapshot, inspect it, then report readiness.", "waitForText": "GOAL ROUND ONE" },
{ "op": "waitForTurnStart", "minimumTurn": 3 },
{ "op": "cancel", "waitForFile": { "path": ".dsh-snapshot-goal-cancel-ready" } },
{ "op": "waitForTurnEnd" }
{ "op": "waitForTurnEnd" },
{ "op": "waitForEventAfterTurnEnd", "type": "goal/change" }
]
}

View File

@@ -1,54 +1,62 @@
{"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"},"role":"user","id":"{{sessionId}}"},"surfaceOp":"append"}
{"type":"session/title","seq":2,"time":0,"data":{"title":"Create a durable two-round goal","messageSeqs":[1],"source":{"kind":"fallback"}}}
{"type":"agent/inbox/spliced","seq":0,"time":0,"data":{"target":"next-turn","start":0,"inserted":[{"content":[{"type":"text","text":"Create a durable two-round goal for the ACP snapshot, inspect it, then report readiness."}],"source":{"kind":"user"},"role":"user","id":"{{sessionId}}"}]}}
{"type":"turn/start","seq":1,"time":0,"data":{"turn":1}}
{"type":"agent/inbox/spliced","seq":2,"time":0,"data":{"target":"next-turn","start":0,"removedCount":1,"inserted":[]}}
{"type":"step/start","seq":3,"time":0,"data":{"turn":1,"step":1}}
{"type":"request/header","seq":4,"time":0,"data":{"header":{"config":{"provider":"deepseek","model":"deepseek-v4-flash"},"system":"{{system}}","tools":"{{tools}}"},"reason":"initial"}}
{"type":"assistant/chunk","seq":5,"time":0,"data":{"turn":1,"step":1,"chunk":{"type":"block-start","index":0,"blockType":"tool-call"}}}
{"type":"assistant/chunk","seq":6,"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":7,"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":8,"time":0,"data":{"turn":1,"step":1,"chunk":{"type":"usage","usage":{"inputTokens":20,"outputTokens":8}}}}
{"type":"assistant/chunk","seq":9,"time":0,"data":{"turn":1,"step":1,"chunk":{"type":"finish","reason":{"kind":"tool-calls"}}}}
{"type":"assistant/message","seq":10,"time":0,"data":{"turn":1,"step":1,"message":{"role":"assistant","content":[{"type":"tool-call","id":"call_goal_create","name":"create_goal","arguments":"{\"objective\":\"Finish the ACP goal-session snapshot proof\",\"max_goal_rounds\":2}"}],"source":{"kind":"model","provider":"deepseek","model":"deepseek-v4-flash"},"id":"{{sessionId}}"},"usage":{"inputTokens":20,"outputTokens":8}},"sourceEventSeqs":[5,6,7,8,9],"surfaceOp":"append"}
{"type":"tool/call","seq":11,"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":12,"time":0,"data":{"turn":1,"step":1,"message":{"source":{"kind":"tool","callId":"call_goal_create"},"content":[{"type":"tool-result","toolCallId":"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}],"role":"user","id":"{{sessionId}}"}},"sourceEventSeqs":[11],"surfaceOp":"append"}
{"type":"user/message","seq":13,"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,"change":{"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}},"role":"user","id":"{{sessionId}}"},"surfaceOp":"append"}
{"type":"step/end","seq":14,"time":0,"data":{"turn":1,"step":1}}
{"type":"step/start","seq":15,"time":0,"data":{"turn":1,"step":2}}
{"type":"assistant/chunk","seq":16,"time":0,"data":{"turn":1,"step":2,"chunk":{"type":"block-start","index":0,"blockType":"tool-call"}}}
{"type":"assistant/chunk","seq":17,"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":18,"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":19,"time":0,"data":{"turn":1,"step":2,"chunk":{"type":"usage","usage":{"inputTokens":30,"outputTokens":4}}}}
{"type":"assistant/chunk","seq":20,"time":0,"data":{"turn":1,"step":2,"chunk":{"type":"finish","reason":{"kind":"tool-calls"}}}}
{"type":"assistant/message","seq":21,"time":0,"data":{"turn":1,"step":2,"message":{"role":"assistant","content":[{"type":"tool-call","id":"call_goal_get","name":"get_goal","arguments":"{}"}],"source":{"kind":"model","provider":"deepseek","model":"deepseek-v4-flash"},"id":"{{sessionId}}"},"usage":{"inputTokens":30,"outputTokens":4}},"sourceEventSeqs":[16,17,18,19,20],"surfaceOp":"append"}
{"type":"tool/call","seq":22,"time":0,"data":{"turn":1,"step":2,"callId":"call_goal_get","name":"get_goal","arguments":"{}"}}
{"type":"tool/result","seq":23,"time":0,"data":{"turn":1,"step":2,"message":{"source":{"kind":"tool","callId":"call_goal_get"},"content":[{"type":"tool-result","toolCallId":"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}],"role":"user","id":"{{sessionId}}"}},"sourceEventSeqs":[22],"surfaceOp":"append"}
{"type":"step/end","seq":24,"time":0,"data":{"turn":1,"step":2}}
{"type":"step/start","seq":25,"time":0,"data":{"turn":1,"step":3}}
{"type":"assistant/chunk","seq":26,"time":0,"data":{"turn":1,"step":3,"chunk":{"type":"block-start","index":0,"blockType":"text"}}}
{"type":"assistant/chunk","seq":27,"time":0,"data":{"turn":1,"step":3,"chunk":{"type":"text-delta","index":0,"text":"GOAL READY"}}}
{"type":"assistant/chunk","seq":28,"time":0,"data":{"turn":1,"step":3,"chunk":{"type":"block-end","index":0,"block":{"type":"text","text":"GOAL READY"}}}}
{"type":"assistant/chunk","seq":29,"time":0,"data":{"turn":1,"step":3,"chunk":{"type":"usage","usage":{"inputTokens":35,"outputTokens":2}}}}
{"type":"assistant/chunk","seq":30,"time":0,"data":{"turn":1,"step":3,"chunk":{"type":"finish","reason":{"kind":"stop"}}}}
{"type":"assistant/message","seq":31,"time":0,"data":{"turn":1,"step":3,"message":{"role":"assistant","content":[{"type":"text","text":"GOAL READY"}],"source":{"kind":"model","provider":"deepseek","model":"deepseek-v4-flash"},"id":"{{sessionId}}"},"usage":{"inputTokens":35,"outputTokens":2}},"sourceEventSeqs":[26,27,28,29,30],"surfaceOp":"append"}
{"type":"step/end","seq":32,"time":0,"data":{"turn":1,"step":3}}
{"type":"turn/end","seq":33,"time":0,"data":{"turn":1,"reason":{"kind":"completed"}}}
{"type":"turn/start","seq":34,"time":0,"data":{"turn":2,"trigger":{"kind":"message","source":{"kind":"goal","goalId":"goal-{{sessionId}}","revision":1,"round":1}}}}
{"type":"user/message","seq":35,"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},"role":"user","id":"{{sessionId}}"},"surfaceOp":"append"}
{"type":"step/start","seq":36,"time":0,"data":{"turn":2,"step":1}}
{"type":"assistant/chunk","seq":37,"time":0,"data":{"turn":2,"step":1,"chunk":{"type":"block-start","index":0,"blockType":"text"}}}
{"type":"assistant/chunk","seq":38,"time":0,"data":{"turn":2,"step":1,"chunk":{"type":"text-delta","index":0,"text":"GOAL ROUND ONE"}}}
{"type":"assistant/chunk","seq":39,"time":0,"data":{"turn":2,"step":1,"chunk":{"type":"block-end","index":0,"block":{"type":"text","text":"GOAL ROUND ONE"}}}}
{"type":"assistant/chunk","seq":40,"time":0,"data":{"turn":2,"step":1,"chunk":{"type":"usage","usage":{"inputTokens":40,"outputTokens":3}}}}
{"type":"assistant/chunk","seq":41,"time":0,"data":{"turn":2,"step":1,"chunk":{"type":"finish","reason":{"kind":"stop"}}}}
{"type":"assistant/message","seq":42,"time":0,"data":{"turn":2,"step":1,"message":{"role":"assistant","content":[{"type":"text","text":"GOAL ROUND ONE"}],"source":{"kind":"model","provider":"deepseek","model":"deepseek-v4-flash"},"id":"{{sessionId}}"},"usage":{"inputTokens":40,"outputTokens":3}},"sourceEventSeqs":[37,38,39,40,41],"surfaceOp":"append"}
{"type":"step/end","seq":43,"time":0,"data":{"turn":2,"step":1}}
{"type":"turn/end","seq":44,"time":0,"data":{"turn":2,"reason":{"kind":"completed"}}}
{"type":"turn/start","seq":45,"time":0,"data":{"turn":3,"trigger":{"kind":"message","source":{"kind":"goal","goalId":"goal-{{sessionId}}","revision":1,"round":2}}}}
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{"type":"assistant/chunk","seq":34,"time":0,"data":{"turn":2,"step":1,"chunk":{"type":"tool-call-delta","index":0,"id":"call_goal_complete","name":"update_goal","argumentsDelta":"{\"goal_id\":\"goal-{{sessionId}}\",\"revision\":1,\"action\":\"complete\"}"}}}
{"type":"assistant/chunk","seq":35,"time":0,"data":{"turn":2,"step":1,"chunk":{"type":"block-end","index":0,"block":{"type":"tool-call","id":"call_goal_complete","name":"update_goal","arguments":"{\"goal_id\":\"goal-{{sessionId}}\",\"revision\":1,\"action\":\"complete\"}"}}}}
{"type":"assistant/chunk","seq":36,"time":0,"data":{"turn":2,"step":1,"chunk":{"type":"usage","usage":{"inputTokens":40,"outputTokens":9}}}}
{"type":"assistant/chunk","seq":37,"time":0,"data":{"turn":2,"step":1,"chunk":{"type":"finish","reason":{"kind":"tool-calls"}}}}
{"type":"assistant/message","seq":38,"time":0,"data":{"turn":2,"step":1,"message":{"role":"assistant","content":[{"type":"tool-call","id":"call_goal_complete","name":"update_goal","arguments":"{\"goal_id\":\"goal-{{sessionId}}\",\"revision\":1,\"action\":\"complete\"}"}],"source":{"kind":"model","provider":"deepseek-official","model":"deepseek-v4-flash"},"id":"{{sessionId}}"},"usage":{"inputTokens":40,"outputTokens":9}},"sourceEventSeqs":[33,34,35,36,37],"surfaceOp":"append"}
{"type":"tool/call","seq":39,"time":0,"data":{"turn":2,"step":1,"callId":"call_goal_complete","name":"update_goal","arguments":"{\"goal_id\":\"goal-{{sessionId}}\",\"revision\":1,\"action\":\"complete\"}"}}
{"type":"goal/change","seq":40,"time":0,"data":{"kind":"goal/change","version":1,"operation":"complete","goal":{"id":"goal-{{sessionId}}","revision":2,"objective":"Finish the ACP goal wrap-up snapshot proof","phase":"complete","maxGoalRounds":2},"roundsStarted":1,"createdAt":0,"updatedAt":0}}
{"type":"tool/result","seq":41,"time":0,"data":{"turn":2,"step":1,"message":{"source":{"kind":"tool","callId":"call_goal_complete"},"content":[{"type":"tool-result","toolCallId":"call_goal_complete","content":[{"type":"text","text":"{\"goal\":{\"id\":\"goal-{{sessionId}}\",\"revision\":2,\"objective\":\"Finish the ACP goal wrap-up snapshot proof\",\"phase\":\"complete\",\"roundsStarted\":1,\"maxGoalRounds\":2},\"activation\":\"disarmed\"}"}],"isError":false}],"role":"user","id":"{{sessionId}}"}},"sourceEventSeqs":[39],"surfaceOp":"append"}
{"type":"agent/inbox/spliced","seq":42,"time":0,"data":{"target":"next-step","start":0,"inserted":[{"content":[{"type":"text","text":"<goal_complete>\nObjective: \"Finish the ACP goal wrap-up snapshot proof\"\nThe goal is marked complete and this autonomous run is ending. Write the closing message to the user now: state the outcome, summarize what was done and how it was verified, and point to the concrete results (files, commits, or other artifacts). Report only what earlier rounds and tool results in this session actually establish; when a detail is not in the session, say so instead of inventing it. Note anything the user should review or do next. Address the user directly. Do not call any more tools in this run; further work waits for the user's next instruction.\n</goal_complete>"}],"source":{"kind":"plugin","plugin":"tool-goal"},"role":"user","id":"{{sessionId}}"}]}}
{"type":"step/end","seq":43,"time":0,"data":{"turn":2,"step":1}}
{"type":"agent/inbox/spliced","seq":44,"time":0,"data":{"target":"next-step","start":0,"removedCount":1,"inserted":[]}}
{"type":"step/start","seq":45,"time":0,"data":{"turn":2,"step":2}}
{"type":"user/message","seq":46,"time":0,"data":{"content":[{"type":"text","text":"<goal_complete>\nObjective: \"Finish the ACP goal wrap-up snapshot proof\"\nThe goal is marked complete and this autonomous run is ending. Write the closing message to the user now: state the outcome, summarize what was done and how it was verified, and point to the concrete results (files, commits, or other artifacts). Report only what earlier rounds and tool results in this session actually establish; when a detail is not in the session, say so instead of inventing it. Note anything the user should review or do next. Address the user directly. Do not call any more tools in this run; further work waits for the user's next instruction.\n</goal_complete>"}],"source":{"kind":"plugin","plugin":"tool-goal"},"role":"user","id":"{{sessionId}}"},"surfaceOp":"append"}
{"type":"assistant/chunk","seq":47,"time":0,"data":{"turn":2,"step":2,"chunk":{"type":"block-start","index":0,"blockType":"text"}}}
{"type":"assistant/chunk","seq":48,"time":0,"data":{"turn":2,"step":2,"chunk":{"type":"text-delta","index":0,"text":"GOAL WRAP-UP: the snapshot objective is achieved and this closing message reaches the user."}}}
{"type":"assistant/chunk","seq":49,"time":0,"data":{"turn":2,"step":2,"chunk":{"type":"block-end","index":0,"block":{"type":"text","text":"GOAL WRAP-UP: the snapshot objective is achieved and this closing message reaches the user."}}}}
{"type":"assistant/chunk","seq":50,"time":0,"data":{"turn":2,"step":2,"chunk":{"type":"usage","usage":{"inputTokens":52,"outputTokens":14}}}}
{"type":"assistant/chunk","seq":51,"time":0,"data":{"turn":2,"step":2,"chunk":{"type":"finish","reason":{"kind":"stop"}}}}
{"type":"assistant/message","seq":52,"time":0,"data":{"turn":2,"step":2,"message":{"role":"assistant","content":[{"type":"text","text":"GOAL WRAP-UP: the snapshot objective is achieved and this closing message reaches the user."}],"source":{"kind":"model","provider":"deepseek-official","model":"deepseek-v4-flash"},"id":"{{sessionId}}"},"usage":{"inputTokens":52,"outputTokens":14}},"sourceEventSeqs":[47,48,49,50,51],"surfaceOp":"append"}
{"type":"step/end","seq":53,"time":0,"data":{"turn":2,"step":2}}
{"type":"turn/end","seq":54,"time":0,"data":{"turn":2,"reason":{"kind":"completed"}}}

View File

@@ -0,0 +1 @@
{"type":"session","version":0,"id":"goal-wrapup-placeholder","createdAt":0,"cwd":"{{cwd}}"}

View File

@@ -0,0 +1,5 @@
{"jsonrpc":"2.0","id":1,"result":{"protocolVersion":1,"agentInfo":{"name":"deepseek-harness-acp","version":"0.0.1"},"agentCapabilities":{"promptCapabilities":{"image":false,"audio":false,"embeddedContext":false}},"authMethods":[]}}
{"jsonrpc":"2.0","id":2,"result":{"sessionId":"{{sessionId}}"}}
{"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 WRAP-UP: the snapshot objective is achieved and this closing message reaches the user."}}}}

View File

@@ -21,6 +21,7 @@ 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 wrapupDir = join(dirname(fileURLToPath(import.meta.url)), 'goal-snapshots/goal-wrapup')
const refreshing = process.env.DSH_SNAPSHOT === 'refresh'
const agent: AgentUnderTest = {
@@ -112,4 +113,63 @@ describe('same-session goal snapshot through the ACP automation driver', () => {
expect(stdout).toBe(await readFile(stdoutExpected, 'utf8'))
expect(session).toBe(await readFile(sessionExpected, 'utf8'))
})
it('injects the wrap-up instruction after an autonomous completion and delivers a closing message', async () => {
const input = JSON.parse(await readFile(join(wrapupDir, 'input.json'), 'utf8')) as InputScript
const result = await runScenario(input, {
agent,
mode: 'replay',
fixtureFile: join(wrapupDir, 'session.jsonl'),
overrideFile: join(wrapupDir, 'replay.override.json'),
configPath: agent.configPath,
})
expect(result.stderr).toBe('')
expect(result.sessionLogs).toHaveLength(1)
const log = result.sessionLogs[0]
if (log === undefined) throw new Error('goal wrap-up snapshot did not persist its 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', 'update_goal'])
expect(foldGoal(events)).toMatchObject({
goal: {
objective: 'Finish the ACP goal wrap-up snapshot proof',
phase: 'complete',
revision: 2,
},
roundsStarted: 1,
})
// The wrap-up instruction is one plugin-sourced context injected after the
// terminal tool result, and the model still answers inside the same turn.
const wrapups = events.filter(event => event.type === 'user/message'
&& event.data.source.kind === 'plugin' && event.data.source.plugin === 'tool-goal')
expect(wrapups).toHaveLength(1)
const wrapupText = wrapups.map(event => event.type === 'user/message' ? event.data.content : [])[0]
expect(JSON.stringify(wrapupText)).toContain('<goal_complete>')
const closing = events.filter(event => event.type === 'assistant/message')
.flatMap(event => event.data.message.content)
.filter(block => block.type === 'text' && block.text.startsWith('GOAL WRAP-UP'))
expect(closing).toHaveLength(1)
const roundTurnEnds = events.filter(event => event.type === 'turn/end' && event.data.turn === 2)
expect(roundTurnEnds).toHaveLength(1)
expect(roundTurnEnds[0]?.data).toMatchObject({ turn: 2, reason: { kind: 'completed' } })
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)
const wrapupStdoutExpected = join(wrapupDir, 'stdout.expected.jsonl')
const wrapupSessionExpected = join(wrapupDir, 'session.expected.jsonl')
if (refreshing) {
await Promise.all([
writeFile(wrapupStdoutExpected, stdout),
writeFile(wrapupSessionExpected, session),
])
}
expect(stdout).toBe(await readFile(wrapupStdoutExpected, 'utf8'))
expect(session).toBe(await readFile(wrapupSessionExpected, 'utf8'))
})
})

View File

@@ -0,0 +1,38 @@
# Minimal keyless composition: real app, pwsh executor, and pwsh tool; replayed model.
- id: llm-replay
name: '@deepseek-ai/dsh-llm-replay'
config:
providers:
- id: deepseek-official
name: DeepSeek
models:
- id: deepseek-v4-pro
- id: subprocess
name: '@deepseek-ai/dsh-subprocess-local'
- id: bash
name: '@deepseek-ai/dsh-pwsh-local'
- id: bash-env
name: '@deepseek-ai/dsh-bash-env'
- id: acp-agent
name: '@deepseek-ai/dsh-acp-demo'
config:
provider: deepseek-official
model: deepseek-v4-pro
persistenceRoot: !!js process.env.DSH_SNAPSHOT_SESSIONS_ROOT ?? './.sessions'
persistenceCompression: none
workspaceContext: false
skills:
enabled: false
# task_output/task_kill stay mounted (the bundle's toolTasks default) so
# background pwsh runs are readable and killable.
goals: false
# The pwsh tool replaces the bundle's bash tool in this composition.
toolBash: false
persona: You are a concise snapshot agent working in {{cwd}}.
- id: tool-pwsh
name: '@deepseek-ai/dsh-tool-pwsh'

View File

@@ -0,0 +1,37 @@
# Minimal live counterpart for the pwsh-tool-turn snapshot composition.
- id: llm-deepseek
name: '@deepseek-ai/dsh-llm-deepseek'
config:
apiKey: !!js process.env.DEEPSEEK_API_KEY
baseURL: !!js process.env.DEEPSEEK_BASE_URL
models:
- id: deepseek-v4-pro
- id: subprocess
name: '@deepseek-ai/dsh-subprocess-local'
- id: bash
name: '@deepseek-ai/dsh-pwsh-local'
- id: bash-env
name: '@deepseek-ai/dsh-bash-env'
- id: acp-agent
name: '@deepseek-ai/dsh-acp-demo'
config:
provider: deepseek-official
model: deepseek-v4-pro
persistenceRoot: !!js process.env.DSH_SNAPSHOT_SESSIONS_ROOT ?? './.sessions'
persistenceCompression: !!js "process.env.DSH_SNAPSHOT === undefined ? 'zstd' : 'none'"
workspaceContext: false
skills:
enabled: false
# task_output/task_kill stay mounted (the bundle's toolTasks default) so
# background pwsh runs are readable and killable.
goals: false
# The pwsh tool replaces the bundle's bash tool in this composition.
toolBash: false
persona: You are a concise snapshot agent working in {{cwd}}.
- id: tool-pwsh
name: '@deepseek-ai/dsh-tool-pwsh'

View File

@@ -1,14 +1,19 @@
{"type":"session","version":0,"id":"22222222-2222-4222-8222-222222222222","createdAt":1783950001000,"cwd":"{{cwd}}","parentSession":"11111111-1111-4111-8111-111111111111","delegationDepth":1}
{"type":"turn/start","seq":0,"time":1783957884563,"data":{"turn":1,"trigger":{"kind":"message","source":{"kind":"user"}}}}
{"type":"user/message","seq":1,"time":1783957884563,"data":{"content":[{"type":"text","text":"Reply with exactly DIRECT_CHILD_OK and nothing else."}],"source":{"kind":"user"},"role":"user","id":"64837546-93f0-46bd-83ec-2649c2497663"},"surfaceOp":"append"}
{"type":"session/title","seq":2,"time":1783957884563,"data":{"title":"Reply with exactly DIRECT_CHILD_OK and","messageSeqs":[1],"source":{"kind":"fallback"}}}
{"type":"step/start","seq":3,"time":1783957884564,"data":{"turn":1,"step":1}}
{"type":"request/header","seq":4,"time":1783957884564,"data":{"header":{"config":{"provider":"deepseek","model":"deepseek-v4-flash"},"system":"{{system}}","tools":"{{tools}}"},"reason":"initial"}}
{"type":"assistant/chunk","seq":5,"time":1783950001005,"data":{"turn":1,"step":1,"chunk":{"type":"block-start","index":0,"blockType":"text"}}}
{"type":"assistant/chunk","seq":6,"time":1783957884564,"data":{"turn":1,"step":1,"chunk":{"type":"text-delta","index":0,"text":"DIRECT_CHILD_OK"}}}
{"type":"assistant/chunk","seq":7,"time":1783957884564,"data":{"turn":1,"step":1,"chunk":{"type":"block-end","index":0,"block":{"type":"text","text":"DIRECT_CHILD_OK"}}}}
{"type":"assistant/chunk","seq":8,"time":1783957884564,"data":{"turn":1,"step":1,"chunk":{"type":"usage","usage":{"inputTokens":3,"outputTokens":3}}}}
{"type":"assistant/chunk","seq":9,"time":1783957884564,"data":{"turn":1,"step":1,"chunk":{"type":"finish","reason":{"kind":"stop"}}}}
{"type":"assistant/message","seq":10,"time":1783957884564,"data":{"turn":1,"step":1,"message":{"role":"assistant","content":[{"type":"text","text":"DIRECT_CHILD_OK"}],"source":{"kind":"model","provider":"deepseek","model":"deepseek-v4-flash"},"id":"afeb614a-105d-4e07-87cb-691a3ce0d3c4"},"usage":{"inputTokens":3,"outputTokens":3}},"sourceEventSeqs":[5,6,7,8,9],"surfaceOp":"append"}
{"type":"step/end","seq":11,"time":1783957884564,"data":{"turn":1,"step":1}}
{"type":"turn/end","seq":12,"time":1783957884564,"data":{"turn":1,"reason":{"kind":"completed"}}}
{"type":"session","version":0,"id":"22222222-2222-4222-8222-222222222222","createdAt":1783950001000,"cwd":"{{cwd}}","parentSession":"11111111-1111-4111-8111-111111111111","origin":"subagent","delegationDepth":1}
{"type":"agent/inbox/spliced","seq":0,"time":1785498801881,"data":{"target":"next-turn","start":0,"inserted":[{"content":[{"type":"text","text":"Reply with exactly DIRECT_CHILD_OK and nothing else."}],"source":{"kind":"user"},"role":"user","id":"ebe0cfa0-a909-47e0-8294-28ad84a8fe77"}]}}
{"type":"turn/start","seq":1,"time":1785821418076,"data":{"turn":1}}
{"type":"agent/inbox/spliced","seq":2,"time":1785821418076,"data":{"target":"next-turn","start":0,"removedCount":1,"inserted":[]}}
{"type":"subagent/descriptor","seq":3,"time":1785821418091,"data":{"version":2,"mode":"one-shot","provider":"spawn","label":"Check direct child"}}
{"type":"step/start","seq":4,"time":1785730458555,"data":{"turn":1,"step":1}}
{"type":"user/message","seq":5,"time":1785730458555,"data":{"content":[{"type":"text","text":"Reply with exactly DIRECT_CHILD_OK and nothing else."}],"source":{"kind":"user"},"role":"user","id":"ebe0cfa0-a909-47e0-8294-28ad84a8fe77"},"surfaceOp":"append"}
{"type":"user/message","seq":6,"time":1785730458555,"data":{"content":[{"type":"text","text":"Current runtime context. This snapshot supersedes earlier runtime-context snapshots.\n\nCurrent DSH file policy: danger-full-access. The DSH file sandbox does not restrict file modifications by available operations.\n\nApproval prompts are disabled in this session: actions that require approval are rejected automatically — do not request sandbox escalation (do not set `sandbox_permissions`)."}],"source":{"kind":"plugin","plugin":"@deepseek-ai/dsh-system-prompt"},"role":"user","id":"f9a2d1b6-8f23-43a5-8702-d413fed40990"},"surfaceOp":"append"}
{"type":"session/title","seq":7,"time":1785730458555,"data":{"title":"Reply with exactly DIRECT_CHILD_OK and","messageSeqs":[5],"source":{"kind":"fallback"}}}
{"type":"request/header","seq":8,"time":1785730458555,"data":{"header":{"config":{"provider":"deepseek-official","model":"deepseek-v4-flash"},"system":"{{system}}","tools":"{{tools}}"},"reason":"initial"}}
{"type":"request/context","seq":9,"time":1785730458555,"data":{"provider":"deepseek-official","model":"deepseek-v4-flash"}}
{"type":"assistant/chunk","seq":10,"time":1783957884564,"data":{"turn":1,"step":1,"chunk":{"type":"block-start","index":0,"blockType":"text"}}}
{"type":"assistant/chunk","seq":11,"time":1783957884564,"data":{"turn":1,"step":1,"chunk":{"type":"text-delta","index":0,"text":"DIRECT_CHILD_OK"}}}
{"type":"assistant/chunk","seq":12,"time":1785498801905,"data":{"turn":1,"step":1,"chunk":{"type":"block-end","index":0,"block":{"type":"text","text":"DIRECT_CHILD_OK"}}}}
{"type":"assistant/chunk","seq":13,"time":1785730458561,"data":{"turn":1,"step":1,"chunk":{"type":"usage","usage":{"inputTokens":3,"outputTokens":3}}}}
{"type":"assistant/chunk","seq":14,"time":1785730458561,"data":{"turn":1,"step":1,"chunk":{"type":"finish","reason":{"kind":"stop"}}}}
{"type":"assistant/message","seq":15,"time":1785730458561,"data":{"turn":1,"step":1,"message":{"role":"assistant","content":[{"type":"text","text":"DIRECT_CHILD_OK"}],"source":{"kind":"model","provider":"deepseek-official","model":"deepseek-v4-flash"},"id":"b9c977ca-2c1a-4a5e-8397-e0b9381a9943"},"usage":{"inputTokens":3,"outputTokens":3}},"sourceEventSeqs":[10,11,12,13,14],"surfaceOp":"append"}
{"type":"step/end","seq":16,"time":1785730458561,"data":{"turn":1,"step":1}}
{"type":"turn/end","seq":17,"time":1785730458561,"data":{"turn":1,"reason":{"kind":"completed"}}}

View File

@@ -1,14 +1,19 @@
{"type":"session","version":0,"id":"33333333-3333-4333-8333-333333333333","createdAt":1783950002000,"cwd":"{{cwd}}","parentSession":"11111111-1111-4111-8111-111111111111","delegationDepth":1}
{"type":"turn/start","seq":0,"time":1783957884700,"data":{"turn":1,"trigger":{"kind":"message","source":{"kind":"user"}}}}
{"type":"user/message","seq":1,"time":1783957884700,"data":{"content":[{"type":"text","text":"Reply with exactly WORKFLOW_CHILD_OK and nothing else."}],"source":{"kind":"user"},"role":"user","id":"043ede8b-08c4-4148-8bca-e2e82337c799"},"surfaceOp":"append"}
{"type":"session/title","seq":2,"time":1783957884700,"data":{"title":"Reply with exactly WORKFLOW_CHILD_OK and","messageSeqs":[1],"source":{"kind":"fallback"}}}
{"type":"step/start","seq":3,"time":1783957884700,"data":{"turn":1,"step":1}}
{"type":"request/header","seq":4,"time":1783957884701,"data":{"header":{"config":{"provider":"deepseek","model":"deepseek-v4-flash"},"system":"{{system}}","tools":"{{tools}}"},"reason":"initial"}}
{"type":"assistant/chunk","seq":5,"time":1783950002005,"data":{"turn":1,"step":1,"chunk":{"type":"block-start","index":0,"blockType":"text"}}}
{"type":"assistant/chunk","seq":6,"time":1783957884701,"data":{"turn":1,"step":1,"chunk":{"type":"text-delta","index":0,"text":"WORKFLOW_CHILD_OK"}}}
{"type":"assistant/chunk","seq":7,"time":1783957884701,"data":{"turn":1,"step":1,"chunk":{"type":"block-end","index":0,"block":{"type":"text","text":"WORKFLOW_CHILD_OK"}}}}
{"type":"assistant/chunk","seq":8,"time":1783957884701,"data":{"turn":1,"step":1,"chunk":{"type":"usage","usage":{"inputTokens":3,"outputTokens":3}}}}
{"type":"assistant/chunk","seq":9,"time":1783957884701,"data":{"turn":1,"step":1,"chunk":{"type":"finish","reason":{"kind":"stop"}}}}
{"type":"assistant/message","seq":10,"time":1783957884701,"data":{"turn":1,"step":1,"message":{"role":"assistant","content":[{"type":"text","text":"WORKFLOW_CHILD_OK"}],"source":{"kind":"model","provider":"deepseek","model":"deepseek-v4-flash"},"id":"991c3f44-12df-4dea-9433-838003081e3c"},"usage":{"inputTokens":3,"outputTokens":3}},"sourceEventSeqs":[5,6,7,8,9],"surfaceOp":"append"}
{"type":"step/end","seq":11,"time":1783957884701,"data":{"turn":1,"step":1}}
{"type":"turn/end","seq":12,"time":1783957884701,"data":{"turn":1,"reason":{"kind":"completed"}}}
{"type":"session","version":0,"id":"33333333-3333-4333-8333-333333333333","createdAt":1783950002000,"cwd":"{{cwd}}","parentSession":"11111111-1111-4111-8111-111111111111","origin":"subagent","delegationDepth":1}
{"type":"agent/inbox/spliced","seq":0,"time":1785498802039,"data":{"target":"next-turn","start":0,"inserted":[{"content":[{"type":"text","text":"Reply with exactly WORKFLOW_CHILD_OK and nothing else."}],"source":{"kind":"user"},"role":"user","id":"2ac2cc54-9bce-4cfa-a569-a64f51bc30a7"}]}}
{"type":"turn/start","seq":1,"time":1785821418251,"data":{"turn":1}}
{"type":"agent/inbox/spliced","seq":2,"time":1785821418251,"data":{"target":"next-turn","start":0,"removedCount":1,"inserted":[]}}
{"type":"subagent/descriptor","seq":3,"time":1785821418270,"data":{"version":2,"mode":"one-shot","provider":"spawn"}}
{"type":"step/start","seq":4,"time":1785730458703,"data":{"turn":1,"step":1}}
{"type":"user/message","seq":5,"time":1785730458703,"data":{"content":[{"type":"text","text":"Reply with exactly WORKFLOW_CHILD_OK and nothing else."}],"source":{"kind":"user"},"role":"user","id":"2ac2cc54-9bce-4cfa-a569-a64f51bc30a7"},"surfaceOp":"append"}
{"type":"user/message","seq":6,"time":1785730458703,"data":{"content":[{"type":"text","text":"Current runtime context. This snapshot supersedes earlier runtime-context snapshots.\n\nCurrent DSH file policy: danger-full-access. The DSH file sandbox does not restrict file modifications by available operations.\n\nApproval prompts are disabled in this session: actions that require approval are rejected automatically — do not request sandbox escalation (do not set `sandbox_permissions`)."}],"source":{"kind":"plugin","plugin":"@deepseek-ai/dsh-system-prompt"},"role":"user","id":"dfbcd587-db47-4c3d-bbe9-8c031b215fc3"},"surfaceOp":"append"}
{"type":"session/title","seq":7,"time":1785730458703,"data":{"title":"Reply with exactly WORKFLOW_CHILD_OK and","messageSeqs":[5],"source":{"kind":"fallback"}}}
{"type":"request/header","seq":8,"time":1785730458703,"data":{"header":{"config":{"provider":"deepseek-official","model":"deepseek-v4-flash"},"system":"{{system}}","tools":"{{tools}}"},"reason":"initial"}}
{"type":"request/context","seq":9,"time":1785730458703,"data":{"provider":"deepseek-official","model":"deepseek-v4-flash"}}
{"type":"assistant/chunk","seq":10,"time":1783957884701,"data":{"turn":1,"step":1,"chunk":{"type":"block-start","index":0,"blockType":"text"}}}
{"type":"assistant/chunk","seq":11,"time":1783957884701,"data":{"turn":1,"step":1,"chunk":{"type":"text-delta","index":0,"text":"WORKFLOW_CHILD_OK"}}}
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{"type":"tool/result","seq":38,"time":1785730458562,"data":{"turn":1,"step":3,"message":{"source":{"kind":"tool","callId":"advanced-direct-child"},"content":[{"type":"tool-result","toolCallId":"advanced-direct-child","content":[{"type":"text","text":"DIRECT_CHILD_OK"}],"isError":false}],"role":"user","id":"09028579-5ae5-4d57-955e-02504f4dfc2a"}},"sourceEventSeqs":[37],"surfaceOp":"append"}
{"type":"step/end","seq":39,"time":1785730458563,"data":{"turn":1,"step":3}}
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{"type":"tool/result","seq":58,"time":1785730458735,"data":{"turn":1,"step":5,"message":{"source":{"kind":"tool","callId":"advanced-unmount"},"content":[{"type":"tool-result","toolCallId":"advanced-unmount","content":[{"type":"text","text":"Temporary Plugin dyn-1 was unmounted and removed."}],"isError":false}],"role":"user","id":"b3634221-2358-4e82-aac5-e37f0a115023"}},"sourceEventSeqs":[57],"surfaceOp":"append"}
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View File

@@ -17,9 +17,6 @@ Track every background task id you start. You are notified in-session when a tas
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, and report that concrete condition in blocked_reason; difficulty, uncertainty, or useful remaining work is not blocked.
Approval prompts are disabled in this session: actions that require approval are rejected automatically — do not request sandbox escalation (do not set `sandbox_permissions`).
<!-- dsh-user-approval-policy:never -->
Use the workflow tool ONLY when the user explicitly asks for a workflow or for large multi-agent orchestration: you write a JavaScript script (the tool description documents the exact format) that fans work out across many subagents with phases and structured results. For one or two delegations, prefer plain subagent calls.
Use the ralph tool ONLY when the direct human explicitly asks for a Ralph loop or fresh-agent iterative execution. Each Ralph round starts a fresh child with no conversation seed and uses the shared workspace as durable memory. Completion and blockers are worker reports, not independent evaluation. Use same-session goal tools for ordinary long-running objectives, and plain subagents or workflows for bounded delegation and fan-out.
@@ -97,6 +94,8 @@ interface ToolArgsMap {
} & Record<string, JsonValue>;
/** 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. */
get_goal: Record<string, JsonValue>;
/** List your continuable background subagents by durable id and label. Status is a snapshot of the stored record: running means the subagent session is currently live in this process, complete means it exists only in storage and a `send_message` starts a new turn on the same conversation. The snapshot is not a delivery promise — `send_message` performs the authoritative check and may still fail. Children that could not be read are reported as diagnostics instead of being silently dropped. */
list_agents: Record<string, JsonValue>;
/** Run a foreground fresh-agent Ralph loop toward one immutable objective. Use only when the direct human explicitly asks for Ralph or fresh-agent iteration. Each round opens a new child with no parent conversation or prior child session; the shared workspace is long-term memory, and only a bounded structured report crosses rounds. The call returns when a worker reports completion or a concrete blocker, or at the round limit. Ordinary long-running same-session work belongs to goal tools. */
ralph: {
/** The immutable completion objective for every fresh Ralph round. */
@@ -113,27 +112,34 @@ interface ToolArgsMap {
/** Maximum number of lines to return. Defaults to 2000. */
limit?: number;
} & Record<string, JsonValue>;
/** Send a message to a background subagent by its subagent id, continuing the same conversation. It becomes the subagent's next turn: if it is still working, the message waits until its current turn finishes, so it cannot redirect work already underway. This call returns no answer from the subagent — only confirmation that the message was delivered — so use it to give it more work. A failure means the message was NOT delivered. */
send_message: {
/** The subagent id returned when the background subagent was started. */
subagent_id: string;
/** The message to deliver to the subagent. */
message: string;
} & Record<string, JsonValue>;
/** Load the full instructions for an available skill. Call this with the exact skill name from the session skill catalog before acting on a task that names or clearly matches that skill. */
skill: {
/** The exact skill name from the available skills list. */
name: string;
} & Record<string, JsonValue>;
/** Delegate a self-contained task to a subagent (a separate agent that works in its own context) and return its final result. Use this to offload focused, independent work — research, a scoped implementation, an analysis — so it does not consume this conversation's context. The subagent runs to completion and you receive only its final answer, not its intermediate steps. Give it a complete, standalone prompt: it does not see this conversation. Set `run_in_background: true` to return a task id; collect with `task_output` and stop with `task_kill`. */
/** Delegate a self-contained task to a subagent (a separate agent that works in its own context) and return its final result. Use this to offload focused, independent work — research, a scoped implementation, an analysis — so it does not consume this conversation's context. The subagent runs to completion and you receive only its final answer, not its intermediate steps. Give it a complete, standalone prompt: it does not see this conversation. Set `run_in_background: true` to start a background subagent that keeps its conversation: you receive only its subagent id, never its result, and it works on its own. Use this for work whose result you do not need returned by this call; `send_message` sends it more work. */
subagent: {
/** A short (3-5 word) description of the delegated task, for display. */
description: string;
/** The complete, self-contained task for the subagent. It does not share this conversation's context, so include everything it needs. */
prompt: string;
/** Run as a background task and return its id; collect with task_output or stop with task_kill. */
/** Run as a background subagent that keeps its conversation and return only its subagent id. This call never returns its result; send it more work with send_message. */
run_in_background?: boolean;
} & Record<string, JsonValue>;
/** Delegate a task to a subagent that inherits this conversation: a child agent seeded with all completed turns so far (it does not see the current in-flight turn), returning only its final result. Use this when the subtask builds on this conversation's context — a follow-up analysis, a review, a continuation — without consuming this conversation's context for the work itself. You receive only its final answer, not its intermediate steps. Set `run_in_background: true` to return a task id; collect with `task_output` and stop with `task_kill`. */
/** Delegate a task to a subagent that inherits this conversation: a child agent seeded with all completed turns so far (it does not see the current in-flight turn), returning only its final result. Use this when the subtask builds on this conversation's context — a follow-up analysis, a review, a continuation — without consuming this conversation's context for the work itself. You receive only its final answer, not its intermediate steps. Set `run_in_background: true` to start a background subagent that keeps its conversation: you receive only its subagent id, never its result, and it works on its own. Use this for work whose result you do not need returned by this call; `send_message` sends it more work. */
subagent_fork: {
/** A short (3-5 word) description of the delegated task, for display. */
description: string;
/** The task for the subagent. It already sees this conversation's completed turns, so build on them freely and state only what is new. */
prompt: string;
/** Run as a background task and return its id; collect with task_output or stop with task_kill. */
/** Run as a background subagent that keeps its conversation and return only its subagent id. This call never returns its result; send it more work with send_message. */
run_in_background?: boolean;
} & Record<string, JsonValue>;
/** Request cancellation of a running background task by task id. Returns immediately; the task settles as killed once its work actually stops. */
@@ -298,6 +304,16 @@ interface ToolOutputMap {
};
activation: "armed" | "disarmed";
};
list_agents: ({
kind: "child";
id: string;
label: string;
status: "running" | "complete";
} | {
kind: "diagnostic";
id: string;
reason: "corrupt" | "unsupported" | "unavailable";
})[];
ralph: {
runId: string;
agentsStarted: number;
@@ -312,6 +328,9 @@ interface ToolOutputMap {
}[];
totalLines: number;
};
send_message: {
messageId: string;
};
skill: {
name: string;
provider: string;
@@ -330,6 +349,9 @@ interface ToolOutputMap {
subagent: {
kind: "background";
taskId: string;
} | {
kind: "continuable";
subagentId: string;
} | {
kind: "foreground";
runId: string;
@@ -338,6 +360,9 @@ interface ToolOutputMap {
subagent_fork: {
kind: "background";
taskId: string;
} | {
kind: "continuable";
subagentId: string;
} | {
kind: "foreground";
runId: string;

View File

@@ -172,6 +172,14 @@
"properties": {}
}
},
{
"name": "list_agents",
"description": "List your continuable background subagents by durable id and label. Status is a snapshot of the stored record: running means the subagent session is currently live in this process, complete means it exists only in storage and a `send_message` starts a new turn on the same conversation. The snapshot is not a delivery promise — `send_message` performs the authoritative check and may still fail. Children that could not be read are reported as diagnostics instead of being silently dropped.",
"parameters": {
"type": "object",
"properties": {}
}
},
{
"name": "ralph",
"description": "Run a foreground fresh-agent Ralph loop toward one immutable objective. Use only when the direct human explicitly asks for Ralph or fresh-agent iteration. Each round opens a new child with no parent conversation or prior child session; the shared workspace is long-term memory, and only a bounded structured report crosses rounds. The call returns when a worker reports completion or a concrete blocker, or at the round limit. Ordinary long-running same-session work belongs to goal tools.",
@@ -237,6 +245,27 @@
]
}
},
{
"name": "send_message",
"description": "Send a message to a background subagent by its subagent id, continuing the same conversation. It becomes the subagent's next turn: if it is still working, the message waits until its current turn finishes, so it cannot redirect work already underway. This call returns no answer from the subagent — only confirmation that the message was delivered — so use it to give it more work. A failure means the message was NOT delivered.",
"parameters": {
"type": "object",
"properties": {
"subagent_id": {
"type": "string",
"description": "The subagent id returned when the background subagent was started."
},
"message": {
"type": "string",
"description": "The message to deliver to the subagent."
}
},
"required": [
"subagent_id",
"message"
]
}
},
{
"name": "skill",
"description": "Load the full instructions for an available skill. Call this with the exact skill name from the session skill catalog before acting on a task that names or clearly matches that skill.",
@@ -255,7 +284,7 @@
},
{
"name": "subagent",
"description": "Delegate a self-contained task to a subagent (a separate agent that works in its own context) and return its final result. Use this to offload focused, independent work — research, a scoped implementation, an analysis — so it does not consume this conversation's context. The subagent runs to completion and you receive only its final answer, not its intermediate steps. Give it a complete, standalone prompt: it does not see this conversation. Set `run_in_background: true` to return a task id; collect with `task_output` and stop with `task_kill`.",
"description": "Delegate a self-contained task to a subagent (a separate agent that works in its own context) and return its final result. Use this to offload focused, independent work — research, a scoped implementation, an analysis — so it does not consume this conversation's context. The subagent runs to completion and you receive only its final answer, not its intermediate steps. Give it a complete, standalone prompt: it does not see this conversation. Set `run_in_background: true` to start a background subagent that keeps its conversation: you receive only its subagent id, never its result, and it works on its own. Use this for work whose result you do not need returned by this call; `send_message` sends it more work.",
"parameters": {
"type": "object",
"properties": {
@@ -269,7 +298,7 @@
},
"run_in_background": {
"type": "boolean",
"description": "Run as a background task and return its id; collect with task_output or stop with task_kill."
"description": "Run as a background subagent that keeps its conversation and return only its subagent id. This call never returns its result; send it more work with send_message."
}
},
"required": [
@@ -280,7 +309,7 @@
},
{
"name": "subagent_fork",
"description": "Delegate a task to a subagent that inherits this conversation: a child agent seeded with all completed turns so far (it does not see the current in-flight turn), returning only its final result. Use this when the subtask builds on this conversation's context — a follow-up analysis, a review, a continuation — without consuming this conversation's context for the work itself. You receive only its final answer, not its intermediate steps. Set `run_in_background: true` to return a task id; collect with `task_output` and stop with `task_kill`.",
"description": "Delegate a task to a subagent that inherits this conversation: a child agent seeded with all completed turns so far (it does not see the current in-flight turn), returning only its final result. Use this when the subtask builds on this conversation's context — a follow-up analysis, a review, a continuation — without consuming this conversation's context for the work itself. You receive only its final answer, not its intermediate steps. Set `run_in_background: true` to start a background subagent that keeps its conversation: you receive only its subagent id, never its result, and it works on its own. Use this for work whose result you do not need returned by this call; `send_message` sends it more work.",
"parameters": {
"type": "object",
"properties": {
@@ -294,7 +323,7 @@
},
"run_in_background": {
"type": "boolean",
"description": "Run as a background task and return its id; collect with task_output or stop with task_kill."
"description": "Run as a background subagent that keeps its conversation and return only its subagent id. This call never returns its result; send it more work with send_message."
}
},
"required": [

View File

@@ -1,24 +1,28 @@
{"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":"Use the bash tool to print a large deterministic output, then reply DONE."}],"source":{"kind":"user"},"role":"user","id":"f4bbe58d-7866-403f-a9ea-c7f8f7d4b103"},"surfaceOp":"append"}
{"type":"session/title","seq":2,"time":0,"data":{"title":"Use the bash tool to","messageSeqs":[1],"source":{"kind":"fallback"}}}
{"type":"agent/inbox/spliced","seq":0,"time":1785498767644,"data":{"target":"next-turn","start":0,"inserted":[{"content":[{"type":"text","text":"Use the bash tool to print a large deterministic output, then reply DONE."}],"source":{"kind":"user"},"role":"user","id":"4f33bd12-21b5-4ccc-bbd2-4edb0ab6b33b"}]}}
{"type":"turn/start","seq":1,"time":1785821368742,"data":{"turn":1}}
{"type":"agent/inbox/spliced","seq":2,"time":1785821368742,"data":{"target":"next-turn","start":0,"removedCount":1,"inserted":[]}}
{"type":"step/start","seq":3,"time":0,"data":{"turn":1,"step":1}}
{"type":"request/header","seq":4,"time":0,"data":{"header":{"config":{"provider":"deepseek","model":"deepseek-v4-flash"},"system":"{{system}}","tools":"{{tools}}"},"reason":"initial"}}
{"type":"assistant/chunk","seq":5,"time":0,"data":{"turn":1,"step":1,"chunk":{"type":"block-start","index":0,"blockType":"tool-call"}}}
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View File

@@ -1,32 +1,36 @@
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View File

@@ -115,6 +115,14 @@
"properties": {}
}
},
{
"name": "list_agents",
"description": "List your continuable background subagents by durable id and label. Status is a snapshot of the stored record: running means the subagent session is currently live in this process, complete means it exists only in storage and a `send_message` starts a new turn on the same conversation. The snapshot is not a delivery promise — `send_message` performs the authoritative check and may still fail. Children that could not be read are reported as diagnostics instead of being silently dropped.",
"parameters": {
"type": "object",
"properties": {}
}
},
{
"name": "ralph",
"description": "Run a foreground fresh-agent Ralph loop toward one immutable objective. Use only when the direct human explicitly asks for Ralph or fresh-agent iteration. Each round opens a new child with no parent conversation or prior child session; the shared workspace is long-term memory, and only a bounded structured report crosses rounds. The call returns when a worker reports completion or a concrete blocker, or at the round limit. Ordinary long-running same-session work belongs to goal tools.",
@@ -180,6 +188,27 @@
]
}
},
{
"name": "send_message",
"description": "Send a message to a background subagent by its subagent id, continuing the same conversation. It becomes the subagent's next turn: if it is still working, the message waits until its current turn finishes, so it cannot redirect work already underway. This call returns no answer from the subagent — only confirmation that the message was delivered — so use it to give it more work. A failure means the message was NOT delivered.",
"parameters": {
"type": "object",
"properties": {
"subagent_id": {
"type": "string",
"description": "The subagent id returned when the background subagent was started."
},
"message": {
"type": "string",
"description": "The message to deliver to the subagent."
}
},
"required": [
"subagent_id",
"message"
]
}
},
{
"name": "skill",
"description": "Load the full instructions for an available skill. Call this with the exact skill name from the session skill catalog before acting on a task that names or clearly matches that skill.",
@@ -198,7 +227,7 @@
},
{
"name": "subagent",
"description": "Delegate a self-contained task to a subagent (a separate agent that works in its own context) and return its final result. Use this to offload focused, independent work — research, a scoped implementation, an analysis — so it does not consume this conversation's context. The subagent runs to completion and you receive only its final answer, not its intermediate steps. Give it a complete, standalone prompt: it does not see this conversation. Set `run_in_background: true` to return a task id; collect with `task_output` and stop with `task_kill`.",
"description": "Delegate a self-contained task to a subagent (a separate agent that works in its own context) and return its final result. Use this to offload focused, independent work — research, a scoped implementation, an analysis — so it does not consume this conversation's context. The subagent runs to completion and you receive only its final answer, not its intermediate steps. Give it a complete, standalone prompt: it does not see this conversation. Set `run_in_background: true` to start a background subagent that keeps its conversation: you receive only its subagent id, never its result, and it works on its own. Use this for work whose result you do not need returned by this call; `send_message` sends it more work.",
"parameters": {
"type": "object",
"properties": {
@@ -212,7 +241,7 @@
},
"run_in_background": {
"type": "boolean",
"description": "Run as a background task and return its id; collect with task_output or stop with task_kill."
"description": "Run as a background subagent that keeps its conversation and return only its subagent id. This call never returns its result; send it more work with send_message."
}
},
"required": [
@@ -223,7 +252,7 @@
},
{
"name": "subagent_fork",
"description": "Delegate a task to a subagent that inherits this conversation: a child agent seeded with all completed turns so far (it does not see the current in-flight turn), returning only its final result. Use this when the subtask builds on this conversation's context — a follow-up analysis, a review, a continuation — without consuming this conversation's context for the work itself. You receive only its final answer, not its intermediate steps. Set `run_in_background: true` to return a task id; collect with `task_output` and stop with `task_kill`.",
"description": "Delegate a task to a subagent that inherits this conversation: a child agent seeded with all completed turns so far (it does not see the current in-flight turn), returning only its final result. Use this when the subtask builds on this conversation's context — a follow-up analysis, a review, a continuation — without consuming this conversation's context for the work itself. You receive only its final answer, not its intermediate steps. Set `run_in_background: true` to start a background subagent that keeps its conversation: you receive only its subagent id, never its result, and it works on its own. Use this for work whose result you do not need returned by this call; `send_message` sends it more work.",
"parameters": {
"type": "object",
"properties": {
@@ -237,7 +266,7 @@
},
"run_in_background": {
"type": "boolean",
"description": "Run as a background task and return its id; collect with task_output or stop with task_kill."
"description": "Run as a background subagent that keeps its conversation and return only its subagent id. This call never returns its result; send it more work with send_message."
}
},
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View File

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View File

@@ -17,9 +17,6 @@ Track every background task id you start. You are notified in-session when a tas
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, and report that concrete condition in blocked_reason; difficulty, uncertainty, or useful remaining work is not blocked.
Approval prompts are disabled in this session: actions that require approval are rejected automatically — do not request sandbox escalation (do not set `sandbox_permissions`).
<!-- dsh-user-approval-policy:never -->
Use the workflow tool ONLY when the user explicitly asks for a workflow or for large multi-agent orchestration: you write a JavaScript script (the tool description documents the exact format) that fans work out across many subagents with phases and structured results. For one or two delegations, prefer plain subagent calls.
Use the ralph tool ONLY when the direct human explicitly asks for a Ralph loop or fresh-agent iterative execution. Each Ralph round starts a fresh child with no conversation seed and uses the shared workspace as durable memory. Completion and blockers are worker reports, not independent evaluation. Use same-session goal tools for ordinary long-running objectives, and plain subagents or workflows for bounded delegation and fan-out.
@@ -80,6 +77,8 @@ interface ToolArgsMap {
} & Record<string, JsonValue>;
/** 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. */
get_goal: Record<string, JsonValue>;
/** List your continuable background subagents by durable id and label. Status is a snapshot of the stored record: running means the subagent session is currently live in this process, complete means it exists only in storage and a `send_message` starts a new turn on the same conversation. The snapshot is not a delivery promise — `send_message` performs the authoritative check and may still fail. Children that could not be read are reported as diagnostics instead of being silently dropped. */
list_agents: Record<string, JsonValue>;
/** Run a foreground fresh-agent Ralph loop toward one immutable objective. Use only when the direct human explicitly asks for Ralph or fresh-agent iteration. Each round opens a new child with no parent conversation or prior child session; the shared workspace is long-term memory, and only a bounded structured report crosses rounds. The call returns when a worker reports completion or a concrete blocker, or at the round limit. Ordinary long-running same-session work belongs to goal tools. */
ralph: {
/** The immutable completion objective for every fresh Ralph round. */
@@ -96,27 +95,34 @@ interface ToolArgsMap {
/** Maximum number of lines to return. Defaults to 2000. */
limit?: number;
} & Record<string, JsonValue>;
/** Send a message to a background subagent by its subagent id, continuing the same conversation. It becomes the subagent's next turn: if it is still working, the message waits until its current turn finishes, so it cannot redirect work already underway. This call returns no answer from the subagent — only confirmation that the message was delivered — so use it to give it more work. A failure means the message was NOT delivered. */
send_message: {
/** The subagent id returned when the background subagent was started. */
subagent_id: string;
/** The message to deliver to the subagent. */
message: string;
} & Record<string, JsonValue>;
/** Load the full instructions for an available skill. Call this with the exact skill name from the session skill catalog before acting on a task that names or clearly matches that skill. */
skill: {
/** The exact skill name from the available skills list. */
name: string;
} & Record<string, JsonValue>;
/** Delegate a self-contained task to a subagent (a separate agent that works in its own context) and return its final result. Use this to offload focused, independent work — research, a scoped implementation, an analysis — so it does not consume this conversation's context. The subagent runs to completion and you receive only its final answer, not its intermediate steps. Give it a complete, standalone prompt: it does not see this conversation. Set `run_in_background: true` to return a task id; collect with `task_output` and stop with `task_kill`. */
/** Delegate a self-contained task to a subagent (a separate agent that works in its own context) and return its final result. Use this to offload focused, independent work — research, a scoped implementation, an analysis — so it does not consume this conversation's context. The subagent runs to completion and you receive only its final answer, not its intermediate steps. Give it a complete, standalone prompt: it does not see this conversation. Set `run_in_background: true` to start a background subagent that keeps its conversation: you receive only its subagent id, never its result, and it works on its own. Use this for work whose result you do not need returned by this call; `send_message` sends it more work. */
subagent: {
/** A short (3-5 word) description of the delegated task, for display. */
description: string;
/** The complete, self-contained task for the subagent. It does not share this conversation's context, so include everything it needs. */
prompt: string;
/** Run as a background task and return its id; collect with task_output or stop with task_kill. */
/** Run as a background subagent that keeps its conversation and return only its subagent id. This call never returns its result; send it more work with send_message. */
run_in_background?: boolean;
} & Record<string, JsonValue>;
/** Delegate a task to a subagent that inherits this conversation: a child agent seeded with all completed turns so far (it does not see the current in-flight turn), returning only its final result. Use this when the subtask builds on this conversation's context — a follow-up analysis, a review, a continuation — without consuming this conversation's context for the work itself. You receive only its final answer, not its intermediate steps. Set `run_in_background: true` to return a task id; collect with `task_output` and stop with `task_kill`. */
/** Delegate a task to a subagent that inherits this conversation: a child agent seeded with all completed turns so far (it does not see the current in-flight turn), returning only its final result. Use this when the subtask builds on this conversation's context — a follow-up analysis, a review, a continuation — without consuming this conversation's context for the work itself. You receive only its final answer, not its intermediate steps. Set `run_in_background: true` to start a background subagent that keeps its conversation: you receive only its subagent id, never its result, and it works on its own. Use this for work whose result you do not need returned by this call; `send_message` sends it more work. */
subagent_fork: {
/** A short (3-5 word) description of the delegated task, for display. */
description: string;
/** The task for the subagent. It already sees this conversation's completed turns, so build on them freely and state only what is new. */
prompt: string;
/** Run as a background task and return its id; collect with task_output or stop with task_kill. */
/** Run as a background subagent that keeps its conversation and return only its subagent id. This call never returns its result; send it more work with send_message. */
run_in_background?: boolean;
} & Record<string, JsonValue>;
/** Request cancellation of a running background task by task id. Returns immediately; the task settles as killed once its work actually stops. */
@@ -269,6 +275,16 @@ interface ToolOutputMap {
};
activation: "armed" | "disarmed";
};
list_agents: ({
kind: "child";
id: string;
label: string;
status: "running" | "complete";
} | {
kind: "diagnostic";
id: string;
reason: "corrupt" | "unsupported" | "unavailable";
})[];
ralph: {
runId: string;
agentsStarted: number;
@@ -283,6 +299,9 @@ interface ToolOutputMap {
}[];
totalLines: number;
};
send_message: {
messageId: string;
};
skill: {
name: string;
provider: string;
@@ -301,6 +320,9 @@ interface ToolOutputMap {
subagent: {
kind: "background";
taskId: string;
} | {
kind: "continuable";
subagentId: string;
} | {
kind: "foreground";
runId: string;
@@ -309,6 +331,9 @@ interface ToolOutputMap {
subagent_fork: {
kind: "background";
taskId: string;
} | {
kind: "continuable";
subagentId: string;
} | {
kind: "foreground";
runId: string;

View File

@@ -0,0 +1,22 @@
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{ "type": "usage", "usage": { "inputTokens": 10, "outputTokens": 5 } },
{ "type": "finish", "reason": { "kind": "tool-calls" } }
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{ "type": "usage", "usage": { "inputTokens": 10, "outputTokens": 5 } },
{ "type": "finish", "reason": { "kind": "stop" } }
]
}
]

View File

@@ -1,34 +1,34 @@
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View File

@@ -1,24 +0,0 @@
You are an AI agent powered by the DeepSeek Harness SDK.
You are a coding assistant powered by the deepseek-v4-flash model. Your working directory is {{cwd}}. Your bash tool runs under a file sandbox — a `[sandbox: file access denied …]` result is policy, not a command bug.
Verify your work by running the code or tests. Keep answers brief and factual.
Use the read tool — not shell commands like cat — to inspect text files. Results include line numbers. Use offset and limit to continue reading large files.
Use the write tool to create files or completely replace file contents. Existing files are overwritten, so read an existing file first (the default fs-policy requires it) and prefer edit for targeted changes.
Use the edit tool for targeted changes to existing UTF-8 text files. It replaces literal old_string with new_string; by default old_string must appear exactly once. If old_string appears multiple times, provide a more specific old_string or set replace_all to true. Read the file first (the default fs-policy requires it), unless you just created or edited it in this session.
Check the [exit code: N] marker on every bash result; investigate failures before moving on.
Track every background task id you start. You are notified in-session when a task finishes — do not busy-poll or sleep on one; keep working on independent steps and do not duplicate a running task's work. Before giving a final answer, collect every still-relevant task with task_output (set wait: true only when you are genuinely blocked on it), and task_kill tasks that stopped mattering.
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, and report that concrete condition in blocked_reason; difficulty, uncertainty, or useful remaining work is not blocked.
<!-- dsh-user-approval-policy:ask -->
Use the workflow tool ONLY when the user explicitly asks for a workflow or for large multi-agent orchestration: you write a JavaScript script (the tool description documents the exact format) that fans work out across many subagents with phases and structured results. For one or two delegations, prefer plain subagent calls.
Use the ralph tool ONLY when the direct human explicitly asks for a Ralph loop or fresh-agent iterative execution. Each Ralph round starts a fresh child with no conversation seed and uses the shared workspace as durable memory. Completion and blockers are worker reports, not independent evaluation. Use same-session goal tools for ordinary long-running objectives, and plain subagents or workflows for bounded delegation and fan-out.

View File

@@ -1,32 +1,36 @@
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View File

@@ -1,44 +1,48 @@
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View File

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@@ -0,0 +1,4 @@
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You are an AI agent powered by the DeepSeek Harness SDK.
You are a concise snapshot agent working in {{cwd}}.
Use the glob tool — not shell find — to discover files by path pattern. A pattern with no "/" matches basenames at any depth, so "*" matches every file in the tree rather than its top level. Results are files only, never directories, and include hidden and ignored files: a result that fits comes back in modification-time order, while a larger one is sampled across top-level entries, so it spans the tree instead of one subtree.
Use the grep tool — not shell grep or rg — to search file contents. Use read on a matched file when you need surrounding context.
Check the [exit code: N] marker on every bash result; investigate failures before moving on.

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@@ -0,0 +1,82 @@
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}

View File

@@ -1,57 +1,61 @@
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View File

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