Merge remote-tracking branch 'origin/master' into worktree/llm-reasoning-effort
# Conflicts: # .agents/notes/implemented/testing/2026-07-24-web-gui-browser-e2e-lane.i18n.yaml # docs/config-catalog.md # docs/core-data-structures/session.i18n.yaml # scripts/type-equiv.manifest.json
This commit is contained in:
Yichen Jiang
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examples/tui-agent/README.i18n.yaml
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6
examples/tui-agent/README.i18n.yaml
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# Bilingual-pair consistency record (docs/i18n/README.md): the git blob hash of each
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# side as of the last confirmed-consistent state. Both languages carry equal authority;
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# after editing either side, bring the other along and re-record with:
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# pnpm run verify-translation-pairing --write examples/tui-agent/README.md
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README.md: ea8695d37ea247a38644392a4572c1ea9855fd44
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README.zh.md: b3f6dc18536b159379eac7433367ccf2cd8fcc53
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@@ -1,5 +1,7 @@
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# tui-agent
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English | [中文](README.zh.md)
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The full-screen interactive coding agent: DeepSeek V4, local bash and filesystem tools, compaction, subagents, workflows and fresh-agent Ralph iteration, plan mode (`/plan` enters and `exit_plan_mode` reviews the exit), timeout/spill policy, and JSONL persistence through [`@deepseek-ai/dsh-tui-demo`](../../packages/examples/tui-demo), loaded from `cordis.yml`. The sibling [`headless-agent`](../headless-agent/README.md) runs the same capability class as a one-shot pipe-friendly task, and [`acp-agent`](../acp-agent/README.md) serves it over JSON-RPC.
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## Run it
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examples/tui-agent/README.zh.md
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examples/tui-agent/README.zh.md
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# tui-agent
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[English](README.md) | 中文
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全屏交互式编码 agent（智能体）：DeepSeek V4、本地 bash 与文件系统工具、压缩（compaction）、subagent、工作流与新 agent Ralph 迭代、plan mode（`/plan` 进入，`exit_plan_mode` 评审退出）、超时／溢出策略，以及通过 [`@deepseek-ai/dsh-tui-demo`](../../packages/examples/tui-demo) 提供的 JSONL 持久化；该应用从 `cordis.yml` 加载。同级 [`headless-agent`](../headless-agent/README.md) 以适合单次管道的任务形式运行同一能力类，[`acp-agent`](../acp-agent/README.md) 则通过 JSON-RPC 提供该能力。
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## 运行
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```sh
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# repo root .env (gitignored) or exported env:
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# DEEPSEEK_API_KEY=sk-…
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# DEEPSEEK_BASE_URL=https://… # optional; defaults to the public API
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pnpm run demo:tui
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```
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演示脚本和可安装的 `dsh` CLI（[`apps/cli`](../../apps/cli/README.md)）都会作为已交付的默认配置启动此示例的 `cordis.yml`；`dsh` 还会应用 `~/.dsh` 中的个人覆盖，并将调用目录作为 workspace。
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输入一项编码任务。agent 使用 `read`/`write`/`edit` 文件系统工具处理常规文件操作，使用 `bash`（加上面向后台任务的通用 `task_output`/`task_list`/`task_kill`）执行 shell 命令、搜索和测试。每次操作都在新的 `bash -c` 中运行（系统提示词要求模型传递 `workdir`，而不是使用 `cd`）。fs 工具和 bash 都会根据会话 workspace 解析相对路径。agent 还可以通过 `subagent`/`subagent_fork` 委托。
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`todo_write` 任务跟踪器是选用的，不在已交付配置中：请将 `@deepseek-ai/dsh-tool-todo` 添加到 `cordis.yml`（或在 `~/.dsh` 下使用个人配置覆盖）以公开该工具。加载后，模型会把整表计划记录到会话日志，TUI 则渲染它。
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TUI 渲染 Markdown 历史、推理、工具所有的终端／diff／通用卡片、token 总量，以及加载 `todo_write` 时的最新计划。较长的工具正文保留首尾预览；Ctrl+O 展开或折叠所有卡片。Enter 用于提交，或在 agent 运行时进行 steering（中途引导）；Ctrl+R 切换推理，Escape 取消，`/help` 列出命令。`/plan` 为下一步骤选择 plan mode；`/plan <message>` 还会将消息提交到该步骤，`/plan off` 则在没有模型输入的情况下选择默认 mode。`/status` 会展开当前会话的标识、活动计数、精确 token／缓存 bucket、上下文用量和时间戳，而不中断正在运行的轮次。`/model` 打开当前提供方目录的键盘选择器；使用 Up/Down 聚焦模型，使用 Shift+Tab 循环切换为该模型公布的推理强度，再用 Enter 选择；也可以使用 `/model <model>` 和 `/model <provider>/<model>` 直接选择。`ask_user_question` 会打开一个位于左下方的宽键盘面板，包含批次进度和编号选项。
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### 恢复早先的会话
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每次运行默认都会启动新会话（其事件日志落在 `./.sessions/` 下）。如需 **继续** 先前对话，请将其 id 传给已安装的 `dsh` CLI：此时 `main` agent 会重新水化持久日志，而不会从头开始，因此模型会将早先轮次视为历史：
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```sh
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dsh --resume <prior-session-id>
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```
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`/resume` 打开可搜索键盘选择器，显示标题、活动、上一轮结果、模型路由、持久 goal 阶段和实时／已持久化状态。已安装的 `dsh` 宿主会刷新并释放当前应用，然后以 `dsh --resume <id>` 替换进程。TUI 仍会在退出时打印该命令，并在自定义宿主无法移交时显示它。`dsh --resume <id>` 在启动上下文中提供 id，`cordis.yml` 会读取它（`resumeSessionId: !!js "typeof resumeSessionId === 'string' ? resumeSessionId : undefined"`）；没有标志时，agent 会开始新会话。缺失或无法读取的 id 不会启动 agent，而会发出 `agent-loop/config-start-failed`：TUI 打印失败并以非零状态退出。选择器没有跨进程会话锁，因此拥有并发宿主的部署必须自行协调会话所有权。
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## Code Mode
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[`code-mode.cordis.yml`](code-mode.cordis.yml) 在同一树上覆盖 worker 线程运行时和 `tools: { mode: code }`。模型会收到一个 `run_code` 传输工具，加上一份为可见工具生成的 TypeScript SDK；只有程序输出会返回模型上下文。使用 `mode: both` 可在 `run_code` 旁同时公开原生调用。执行契约详见 [Code Mode Agent Note](../../.agents/notes/implemented/feature/2026-06-15-code-mode.md)。
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```sh
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pnpm run demo:code-mode # this overlay under the TUI (default UI)
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pnpm run demo:code-mode acp # the acp-agent example's same-shaped overlay
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```
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尝试一项横跨多个工具调用的任务，例如：
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||||
> 统计 docs/ 下每个 `*.md` 文件的行数，并将最大的三个写入 summary.txt。
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||||
然后观察 transcript（文本记录）：一次 `run_code` 调用、一个循环调用工具的程序，以及模型筛选后的结果，而不是五次原始工具输出往返。
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## 每个叶节点配置项所演示的内容
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此示例是轻量叶节点 `cordis.yml`：它选择可替换后端、加载一个应用包（package），并添加有意放在共享主干外的产品工具。主干（会话、系统提示词、工具、agent、不变式、`agent-loop`）和入口集群（JSONL 持久化、pi-tui 通道、预创建的 `main` agent）位于 [`@deepseek-ai/dsh-tui-demo`](../../packages/examples/tui-demo) 应用及其加载的 [`@deepseek-ai/dsh-agent-spine-demo`](../../packages/examples/agent-spine-demo) 组合包中；叶节点负责接线后端与面向模型的可选工具：
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||||
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| 配置项 | 演示内容 |
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||||
|---|---|
|
||||
| `hmr` (`@cordisjs/plugin-hmr`) | 开发／演示的编辑-重载循环：它是 **叶节点** 配置项（不内置到应用），因为它依赖 Loader 的内部模块访问 |
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||||
| `llm-deepseek` | 默认原生适配器 |
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||||
| `bash` (`dsh-bash-local`) | 执行器实现：bash seam 的可替换一半。面向模型的 `bash` schema（`tool-bash`）和通用 `task_*` 控制（`tool-tasks`）由 `dsh-agent-spine-demo` 提供，因此叶节点只选择执行器 |
|
||||
| `tui-agent` (`@deepseek-ai/dsh-tui-demo`) | 应用组合包：agent-spine 演示 + JSONL 持久化 + pi-tui 通道 + 预创建的 `main` agent |
|
||||
| `subagent`, `subagent-spawn`, `subagent-fork` | subagent 提供方注册表加两个进程内后端：新子 agent，以及用父 agent 已完成轮次前缀播种的子 agent |
|
||||
| `tool-subagent`, `tool-subagent-fork` | 两次面向模型的 `dsh-tool-subagent` 加载，每次绑定不同提供方，并以不同工具名（`subagent`、`subagent_fork`）公开 |
|
||||
| `workflow-workerthread`, `tool-workflow` | worker 线程工作流引擎及其面向模型的 `workflow` 工具，子调用通过 spawn 后端路由 |
|
||||
| `plan-mode` | 插件拥有的 `/plan [message]` 进入命令和 `/plan off` 退出命令、plan-mode 提示词策略、工具限制，以及经评审的 `exit_plan_mode` 转换 |
|
||||
| `fs-local`, `fs-policy`, `tool-fs` | 文件系统栈：本地 `ctx.fs` 提供方、先读后写／编辑策略门禁（位于 `fs/*` 事件门禁），以及面向模型的 `read`/`write`/`edit` 工具。相对路径根据会话 workspace 解析 |
|
||||
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||||
## 端到端测试（`pnpm run test:e2e`）
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||||
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||||
与 UI 无关的带密钥套件通过 `tests/harness.ts` 以程序方式组装完整栈（无 PTY、无 Loader）：
|
||||
|
||||
- `tests/full-loop.e2e.ts`：canary 测试：真实模型通过真实 bash 工具运行 `echo e2e-ok`；断言 `tool/call`/`tool/result` 会话事件和最终答案。
|
||||
- `tests/coding-task.e2e.ts`：类 swebench 冒烟测试：临时目录包含 `add.js`（其中 `a - b` 写在本应是 `a + b` 的位置）和失败的 `add.test.js`；agent 必须修复错误并验证。测试会自行重新运行 `node add.test.js` 并检查文件，不信任 agent 的声称。
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||||
- `tests/resume.e2e.ts`：跨进程持久连续性：第一次运行告诉真实模型一个密码并将轮次持久化到临时 JSONL 根目录，然后释放整个上下文；第二次运行在同一根目录上创建新上下文，恢复会话 id 并要求模型回忆密码。只有重新水化的日志能够提供该回忆。
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||||
- `tests/compaction.e2e.ts`：压缩冒烟测试：一项真实多步 bash 任务在故意设得很小的上下文窗口中运行，使自动压缩监听器在会话中途触发。测试验证外部状态：真实日志中出现 `compact/start…end` 对，表层缩减（替换节点遮蔽旧节点），且 agent 在压缩后仍给出正确最终答案。
|
||||
- `tests/todo-write.e2e.ts`：加载选用 `todo_write` 工具，由真实模型驱动，测试验证产生的 `todo/write` 会话事件。
|
||||
- `tests/code-mode.e2e.ts`：带密钥 Code Mode 证明：使用真实模型和双工具任务，断言线上工具列表精确为 `[run_code]`，`tool/code-dispatch` 事件位于父调用下，且筛选后的答案已返回。
|
||||
|
||||
这些测试在没有 `DEEPSEEK_API_KEY` 时自行跳过。无密钥 `tests/tui-keyless-smoke.e2e.ts` 通过 PTY 启动真实 Loader 树（唯一获准的 PTY 界面）：基础启动 + `/plan` + `/exit`，一次带问题对话框和工具往返的脚本 LLM 对话，Code Mode 覆盖欢迎行，以及恢复失败退出路径。
|
||||
|
||||
## 快照测试
|
||||
|
||||
`tests/snapshots/<scenario>/session.jsonl` 提供已录制的用户提示词和模型分片；同级子日志驱动 subagent 和工作流。无密钥套件通过真实循环和工具实现执行这些脚本，然后比较可读的预期终端单元格／样式输出。使用 `pnpm run test:snapshot:refresh` 刷新仅展示变更；已录制模型旅程改变时，使用 DeepSeek 密钥运行 `pnpm run test:snapshot:record`。已实现的 [TUI 快照 Agent Note](../../.agents/notes/implemented/testing/2026-07-18-tui-terminal-state-snapshots.md) 拥有场景矩阵，以及已录制旅程、瞬时包快照与 PTY 覆盖之间的分工。
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@@ -4,56 +4,9 @@
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{"type":"step/start","seq":2,"time":1783352050755,"data":{"turn":1,"step":1}}
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||||
{"type":"request/header","seq":3,"time":1783352050756,"data":{"header":{"config":{"provider":"deepseek","model":"deepseek-v4-flash"},"system":"{{system}}","tools":"{{tools}}"},"reason":"initial"}}
|
||||
{"type":"assistant/chunk","seq":4,"time":1783352051421,"data":{"turn":1,"step":1,"chunk":{"type":"block-start","index":0,"blockType":"reasoning"}}}
|
||||
{"type":"assistant/chunk","seq":5,"time":1783352051422,"data":{"turn":1,"step":1,"chunk":{"type":"reasoning-delta","index":0,"text":"The"}}}
|
||||
{"type":"assistant/chunk","seq":6,"time":1783352051590,"data":{"turn":1,"step":1,"chunk":{"type":"reasoning-delta","index":0,"text":" user"}}}
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{"type":"assistant/chunk","seq":7,"time":1783352051618,"data":{"turn":1,"step":1,"chunk":{"type":"reasoning-delta","index":0,"text":" wants"}}}
|
||||
{"type":"assistant/chunk","seq":8,"time":1783352051618,"data":{"turn":1,"step":1,"chunk":{"type":"reasoning-delta","index":0,"text":" me"}}}
|
||||
{"type":"assistant/chunk","seq":9,"time":1783352051619,"data":{"turn":1,"step":1,"chunk":{"type":"reasoning-delta","index":0,"text":" to"}}}
|
||||
{"type":"assistant/chunk","seq":10,"time":1783352051619,"data":{"turn":1,"step":1,"chunk":{"type":"reasoning-delta","index":0,"text":" run"}}}
|
||||
{"type":"assistant/chunk","seq":11,"time":1783352051619,"data":{"turn":1,"step":1,"chunk":{"type":"reasoning-delta","index":0,"text":" a"}}}
|
||||
{"type":"assistant/chunk","seq":12,"time":1783352051645,"data":{"turn":1,"step":1,"chunk":{"type":"reasoning-delta","index":0,"text":" simple"}}}
|
||||
{"type":"assistant/chunk","seq":13,"time":1783352051675,"data":{"turn":1,"step":1,"chunk":{"type":"reasoning-delta","index":0,"text":" bash"}}}
|
||||
{"type":"assistant/chunk","seq":14,"time":1783352051675,"data":{"turn":1,"step":1,"chunk":{"type":"reasoning-delta","index":0,"text":" command"}}}
|
||||
{"type":"assistant/chunk","seq":15,"time":1783352051675,"data":{"turn":1,"step":1,"chunk":{"type":"reasoning-delta","index":0,"text":" and"}}}
|
||||
{"type":"assistant/chunk","seq":16,"time":1783352051676,"data":{"turn":1,"step":1,"chunk":{"type":"reasoning-delta","index":0,"text":" then"}}}
|
||||
{"type":"assistant/chunk","seq":17,"time":1783352051676,"data":{"turn":1,"step":1,"chunk":{"type":"reasoning-delta","index":0,"text":" reply"}}}
|
||||
{"type":"assistant/chunk","seq":18,"time":1783352051703,"data":{"turn":1,"step":1,"chunk":{"type":"reasoning-delta","index":0,"text":" with"}}}
|
||||
{"type":"assistant/chunk","seq":19,"time":1783352051704,"data":{"turn":1,"step":1,"chunk":{"type":"reasoning-delta","index":0,"text":" \""}}}
|
||||
{"type":"assistant/chunk","seq":20,"time":1783352051704,"data":{"turn":1,"step":1,"chunk":{"type":"reasoning-delta","index":0,"text":"D"}}}
|
||||
{"type":"assistant/chunk","seq":21,"time":1783352051704,"data":{"turn":1,"step":1,"chunk":{"type":"reasoning-delta","index":0,"text":"ONE"}}}
|
||||
{"type":"assistant/chunk","seq":22,"time":1783352051704,"data":{"turn":1,"step":1,"chunk":{"type":"reasoning-delta","index":0,"text":"\"."}}}
|
||||
{"type":"reasoning-chunks","seq0":5,"time0":1783352051422,"data":{"turn":1,"step":1,"index":0,"dt":[168,28,0,1,0,0,26,30,0,0,1,0,27,1,0,0,0],"texts":["The"," user"," wants"," me"," to"," run"," a"," simple"," bash"," command"," and"," then"," reply"," with"," \"","D","ONE","\"."]}}
|
||||
{"type":"assistant/chunk","seq":23,"time":1783352051790,"data":{"turn":1,"step":1,"chunk":{"type":"block-start","index":1,"blockType":"tool-call"}}}
|
||||
{"type":"assistant/chunk","seq":24,"time":1783352051791,"data":{"turn":1,"step":1,"chunk":{"type":"tool-call-delta","index":1,"id":"call_00_fkbBRJsUrGKd1pWVc4Gn8233","name":"bash","argumentsDelta":""}}}
|
||||
{"type":"assistant/chunk","seq":25,"time":1783352051820,"data":{"turn":1,"step":1,"chunk":{"type":"tool-call-delta","index":1,"id":"call_00_fkbBRJsUrGKd1pWVc4Gn8233","name":"bash","argumentsDelta":"{"}}}
|
||||
{"type":"assistant/chunk","seq":26,"time":1783352051820,"data":{"turn":1,"step":1,"chunk":{"type":"tool-call-delta","index":1,"id":"call_00_fkbBRJsUrGKd1pWVc4Gn8233","name":"bash","argumentsDelta":"\""}}}
|
||||
{"type":"assistant/chunk","seq":27,"time":1783352051820,"data":{"turn":1,"step":1,"chunk":{"type":"tool-call-delta","index":1,"id":"call_00_fkbBRJsUrGKd1pWVc4Gn8233","name":"bash","argumentsDelta":"command"}}}
|
||||
{"type":"assistant/chunk","seq":28,"time":1783352051820,"data":{"turn":1,"step":1,"chunk":{"type":"tool-call-delta","index":1,"id":"call_00_fkbBRJsUrGKd1pWVc4Gn8233","name":"bash","argumentsDelta":"\""}}}
|
||||
{"type":"assistant/chunk","seq":29,"time":1783352051820,"data":{"turn":1,"step":1,"chunk":{"type":"tool-call-delta","index":1,"id":"call_00_fkbBRJsUrGKd1pWVc4Gn8233","name":"bash","argumentsDelta":": "}}}
|
||||
{"type":"assistant/chunk","seq":30,"time":1783352051848,"data":{"turn":1,"step":1,"chunk":{"type":"tool-call-delta","index":1,"id":"call_00_fkbBRJsUrGKd1pWVc4Gn8233","name":"bash","argumentsDelta":"\""}}}
|
||||
{"type":"assistant/chunk","seq":31,"time":1783352051848,"data":{"turn":1,"step":1,"chunk":{"type":"tool-call-delta","index":1,"id":"call_00_fkbBRJsUrGKd1pWVc4Gn8233","name":"bash","argumentsDelta":"echo"}}}
|
||||
{"type":"assistant/chunk","seq":32,"time":1783352051848,"data":{"turn":1,"step":1,"chunk":{"type":"tool-call-delta","index":1,"id":"call_00_fkbBRJsUrGKd1pWVc4Gn8233","name":"bash","argumentsDelta":" TER"}}}
|
||||
{"type":"assistant/chunk","seq":33,"time":1783352051848,"data":{"turn":1,"step":1,"chunk":{"type":"tool-call-delta","index":1,"id":"call_00_fkbBRJsUrGKd1pWVc4Gn8233","name":"bash","argumentsDelta":"MIN"}}}
|
||||
{"type":"assistant/chunk","seq":34,"time":1783352051877,"data":{"turn":1,"step":1,"chunk":{"type":"tool-call-delta","index":1,"id":"call_00_fkbBRJsUrGKd1pWVc4Gn8233","name":"bash","argumentsDelta":"AL"}}}
|
||||
{"type":"assistant/chunk","seq":35,"time":1783352051877,"data":{"turn":1,"step":1,"chunk":{"type":"tool-call-delta","index":1,"id":"call_00_fkbBRJsUrGKd1pWVc4Gn8233","name":"bash","argumentsDelta":"_OK"}}}
|
||||
{"type":"assistant/chunk","seq":36,"time":1783352051877,"data":{"turn":1,"step":1,"chunk":{"type":"tool-call-delta","index":1,"id":"call_00_fkbBRJsUrGKd1pWVc4Gn8233","name":"bash","argumentsDelta":"\""}}}
|
||||
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style 0-0 fg=bright-blue
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7| "▌ '{printf \"line %04d: the quick brown fox jumps over the lazy dog\\n\", $1}', then return ONLY the "
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style 2-74 fg=cyan
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8| "▌ number of lines in its output. Reply with just that number and stop. "
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9| "▌ "
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10| <blank>
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11| " Reasoning "
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style 1-9 fg=bright-black italic
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12| " The user wants me to write a single run_code program that calls bash exactly once with a specific "
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style 1-99 fg=bright-black italic
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13| " command, then returns only the number of lines in its output. "
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17| "▌ 200 "
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0| " DEEPSEEK HARNESS"
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11| " Reasoning "
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12| " The user wants me to write a single run_code program that: "
|
||||
style 1-58 fg=bright-black italic
|
||||
style 1-36 fg=bright-black italic
|
||||
style 37-44 fg=cyan
|
||||
style 45-58 fg=bright-black italic
|
||||
13| " 1. Calls bash tool twice - first with echo CODE_ONE, then with echo CODE_TWO "
|
||||
style 1-3 fg=bright-blue
|
||||
style 4-38 fg=bright-black italic
|
||||
style 4-9 fg=bright-black italic
|
||||
style 10-13 fg=cyan
|
||||
style 14-38 fg=bright-black italic
|
||||
style 39-51 fg=cyan
|
||||
style 52-63 fg=bright-black italic
|
||||
style 64-76 fg=cyan
|
||||
14| " 2. console.log exactly captured output "
|
||||
style 1-3 fg=bright-blue
|
||||
style 4-23 fg=bright-black italic
|
||||
style 4-14 fg=cyan
|
||||
style 15-23 fg=bright-black italic
|
||||
style 24-38 fg=cyan
|
||||
15| " 3. Return the two outputs joined with a plus sign "
|
||||
15| " 3. Returns the two outputs joined with a plus sign "
|
||||
style 1-3 fg=bright-blue
|
||||
style 4-49 fg=bright-black italic
|
||||
style 4-50 fg=bright-black italic
|
||||
16| " "
|
||||
17| " Let me write this carefully. "
|
||||
style 1-28 fg=bright-black italic
|
||||
18| <blank>
|
||||
19| "▌ "
|
||||
17| " Let me think about the structure. The bash tool returns an object with stdout/stderr. I need to "
|
||||
style 1-38 fg=bright-black italic
|
||||
style 39-42 fg=cyan
|
||||
style 43-99 fg=bright-black italic
|
||||
18| " extract the stdout text from each call. "
|
||||
style 1-39 fg=bright-black italic
|
||||
19| " "
|
||||
20| " Looking at the bash output type: "
|
||||
style 1-32 fg=bright-black italic
|
||||
21| " "
|
||||
22| " ``` "
|
||||
style 1-3 dim
|
||||
23| " { "
|
||||
24| " kind: \"foreground\"; "
|
||||
25| " exitCode: number | null; "
|
||||
26| " signal: string | null; "
|
||||
27| " timedOut: boolean; "
|
||||
28| " aborted: boolean; "
|
||||
29| " timeoutMs: number; "
|
||||
30| " stdout: { "
|
||||
31| " text: string; "
|
||||
32| " truncated: boolean; "
|
||||
33| " spillPath?: string; "
|
||||
34| " }; "
|
||||
35| " stderr: { ... }; "
|
||||
36| " sandbox?: { ... }; "
|
||||
37| " } "
|
||||
38| " ``` "
|
||||
style 1-3 dim
|
||||
39| " "
|
||||
40| " So I need to access .stdout.text from each result. "
|
||||
style 1-20 fg=bright-black italic
|
||||
style 21-32 fg=cyan
|
||||
style 33-50 fg=bright-black italic
|
||||
41| " "
|
||||
42| " Let me write the program. "
|
||||
style 1-25 fg=bright-black italic
|
||||
43| <blank>
|
||||
44| "▌ "
|
||||
style 0-0 fg=green
|
||||
20| "▌ ✓ const result1 = await tools.bash({ command: \"echo CODE_ONE\", description: \"First echo\" }); "
|
||||
45| "▌ ✓ Call bash twice, log, join outputs "
|
||||
style 0-0 fg=green
|
||||
style 2-2 fg=green bold
|
||||
style 3-99 bold
|
||||
21| "▌ cons "
|
||||
style 3-37 bold
|
||||
46| "▌ captured output "
|
||||
style 0-0 fg=green
|
||||
style 2-5 bold
|
||||
22| "▌ captured output "
|
||||
47| "▌ CODE_ONE+CODE_TWO "
|
||||
style 0-0 fg=green
|
||||
23| "▌ CODE_ONE+CODE_TWO "
|
||||
48| "▌ "
|
||||
style 0-0 fg=green
|
||||
24| "▌ "
|
||||
style 0-0 fg=green
|
||||
25| <blank>
|
||||
26| " Reasoning "
|
||||
49| <blank>
|
||||
50| " Reasoning "
|
||||
style 1-9 fg=bright-black italic
|
||||
27| " The user asked me to reply with that joined string only and stop. The joined string is "
|
||||
51| " The program ran successfully. The output shows: "
|
||||
style 1-47 fg=bright-black italic
|
||||
52| " - captured output (from console.log) "
|
||||
style 1-2 fg=bright-blue
|
||||
style 3-17 fg=cyan
|
||||
style 18-36 fg=bright-black italic
|
||||
53| " - CODE_ONE+CODE_TWO (the returned joined string) "
|
||||
style 1-2 fg=bright-blue
|
||||
style 3-19 fg=cyan
|
||||
style 20-48 fg=bright-black italic
|
||||
54| " "
|
||||
55| " The user asked me to reply with that joined string only and stop. So I'll reply with just "
|
||||
style 1-99 fg=bright-black italic
|
||||
28| " CODE_ONE+CODE_TWO. "
|
||||
56| " CODE_ONE+CODE_TWO. "
|
||||
style 1-17 fg=cyan
|
||||
style 18-18 fg=bright-black italic
|
||||
29| <blank>
|
||||
30| " Assistant "
|
||||
57| <blank>
|
||||
58| " Assistant "
|
||||
style 1-9 fg=bright-magenta bold
|
||||
31| " CODE_ONE+CODE_TWO "
|
||||
32| "────────────────────────────────────────────────────────────────────────────────────────────────────"
|
||||
59| " CODE_ONE+CODE_TWO "
|
||||
60| "────────────────────────────────────────────────────────────────────────────────────────────────────"
|
||||
style 0-99 dim
|
||||
33| " "
|
||||
61| " "
|
||||
style 1-1 inverse
|
||||
34| "────────────────────────────────────────────────────────────────────────────────────────────────────"
|
||||
62| "────────────────────────────────────────────────────────────────────────────────────────────────────"
|
||||
style 0-99 dim
|
||||
35| "deepseek-v4-flash /workspace/project ↑4.1k ↓227 cache 53% 4% context tools:"
|
||||
style 0-79 dim
|
||||
style 82-99 dim
|
||||
36-37| <blank>
|
||||
63| "deepseek-v4-flash /workspace/project ↑182 ↓446 cache 98% 4% context tools:c"
|
||||
style 0-78 dim
|
||||
style 81-99 dim
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
{"type":"session","version":0,"id":"11111111-1111-4111-8111-111111111111","createdAt":1783950000000,"cwd":"/tmp/advanced-acp","delegationDepth":0}
|
||||
{"type": "session", "version": 0, "id": "11111111-1111-4111-8111-111111111111", "createdAt": 1783950000000, "cwd": "/tmp/advanced-acp", "delegationDepth": 0}
|
||||
{"type":"turn/start","seq":0,"time":1783957884479,"data":{"turn":1,"trigger":{"kind":"message","source":{"kind":"user"}}}}
|
||||
{"type":"user/message","seq":1,"time":1783957884479,"data":{"content":[{"type":"text","text":"Run this advanced flow exactly once: mount a no-op Cordis plugin named snapshot-marker; use run_code to inspect the live dynamic mounts through tools.cordis_inspect; delegate once to a direct spawn child; run one workflow that delegates to another spawn child; unmount dyn-1; then reply with exactly ADVANCED_ACP_OK."}],"source":{"kind":"user"}},"surfaceOp":"append"}
|
||||
{"type":"step/start","seq":2,"time":1783957884486,"data":{"turn":1,"step":1}}
|
||||
@@ -14,12 +14,12 @@
|
||||
{"type":"step/end","seq":12,"time":1783957884489,"data":{"turn":1,"step":1}}
|
||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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|
||||
{"type":"tool/call","seq":20,"time":1783957884490,"data":{"turn":1,"step":2,"callId":"advanced-code","name":"run_code","arguments":"{\"code\":\"return await tools.cordis_inspect({ what: 'dynamic' })\"}"}}
|
||||
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|
||||
{"type":"tool/call","seq":20,"time":1783957884490,"data":{"turn":1,"step":2,"callId":"advanced-code","name":"run_code","arguments":"{\"code\": \"return await tools.cordis_inspect({ what: 'dynamic' })\", \"description\": \"Verify the dynamically mounted marker service\"}"}}
|
||||
{"type":"tool/code-dispatch","seq":21,"time":1783957884560,"data":{"parentCallId":"advanced-code","subCallId":"advanced-code:code:1","name":"cordis_inspect","arguments":{"what":"dynamic"},"isError":false,"resultSummary":"## dynamic\n- dyn-1: snapshot-marker [active]"}}
|
||||
{"type":"tool/result","seq":22,"time":1783957884561,"data":{"turn":1,"step":2,"callId":"advanced-code","content":[{"type":"text","text":"## dynamic\n- dyn-1: snapshot-marker [active]"}],"isError":false,"meta":{"logs":[]}},"sourceEventSeqs":[20],"surfaceOp":"append"}
|
||||
{"type":"step/end","seq":23,"time":1783957884561,"data":{"turn":1,"step":2}}
|
||||
|
||||
@@ -40,10 +40,10 @@ buffer
|
||||
16| <blank>
|
||||
17| "▌ "
|
||||
style 0-0 fg=green
|
||||
18| "▌ ✓ return await tools.cordis_inspect({ what: 'dynamic' }) "
|
||||
18| "▌ ✓ Verify the dynamically mounted marker service "
|
||||
style 0-0 fg=green
|
||||
style 2-2 fg=green bold
|
||||
style 3-57 bold
|
||||
style 3-48 bold
|
||||
19| "▌ ## dynamic "
|
||||
style 0-0 fg=green
|
||||
20| "▌ - dyn-1: snapshot-marker [active] "
|
||||
|
||||
@@ -4,29 +4,9 @@
|
||||
{"type":"step/start","seq":2,"time":1783600636316,"data":{"turn":1,"step":1}}
|
||||
{"type":"request/header","seq":3,"time":1783600636317,"data":{"header":{"config":{"provider":"deepseek","model":"deepseek-v4-flash"},"system":"{{system}}","tools":"{{tools}}"},"reason":"initial"}}
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@@ -4,156 +4,9 @@
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|
||||
{"type":"assistant/chunk","seq":115,"time":1783352059921,"data":{"turn":1,"step":2,"chunk":{"type":"reasoning-delta","index":0,"text":" with"}}}
|
||||
{"type":"assistant/chunk","seq":116,"time":1783352059921,"data":{"turn":1,"step":2,"chunk":{"type":"reasoning-delta","index":0,"text":" the"}}}
|
||||
{"type":"assistant/chunk","seq":117,"time":1783352059950,"data":{"turn":1,"step":2,"chunk":{"type":"reasoning-delta","index":0,"text":" single"}}}
|
||||
{"type":"assistant/chunk","seq":118,"time":1783352059950,"data":{"turn":1,"step":2,"chunk":{"type":"reasoning-delta","index":0,"text":" word"}}}
|
||||
{"type":"assistant/chunk","seq":119,"time":1783352059950,"data":{"turn":1,"step":2,"chunk":{"type":"reasoning-delta","index":0,"text":" \""}}}
|
||||
{"type":"assistant/chunk","seq":120,"time":1783352059950,"data":{"turn":1,"step":2,"chunk":{"type":"reasoning-delta","index":0,"text":"D"}}}
|
||||
{"type":"assistant/chunk","seq":121,"time":1783352059951,"data":{"turn":1,"step":2,"chunk":{"type":"reasoning-delta","index":0,"text":"ONE"}}}
|
||||
{"type":"assistant/chunk","seq":122,"time":1783352059951,"data":{"turn":1,"step":2,"chunk":{"type":"reasoning-delta","index":0,"text":"\"."}}}
|
||||
{"type":"reasoning-chunks","seq0":102,"time0":1783352059733,"data":{"turn":1,"step":2,"index":0,"dt":[102,28,0,1,0,28,0,1,0,27,0,1,0,0,29,0,0,0,1,0],"texts":["The"," todos"," have"," been"," written"," successfully","."," Now"," I"," just"," need"," to"," reply"," with"," the"," single"," word"," \"","D","ONE","\"."]}}
|
||||
{"type":"assistant/chunk","seq":123,"time":1783352059979,"data":{"turn":1,"step":2,"chunk":{"type":"block-start","index":1,"blockType":"text"}}}
|
||||
{"type":"assistant/chunk","seq":124,"time":1783352059979,"data":{"turn":1,"step":2,"chunk":{"type":"text-delta","index":1,"text":"D"}}}
|
||||
{"type":"assistant/chunk","seq":125,"time":1783352059980,"data":{"turn":1,"step":2,"chunk":{"type":"text-delta","index":1,"text":"ONE"}}}
|
||||
|
||||
@@ -4,7 +4,7 @@ import { dirname, join } from 'node:path'
|
||||
import { fileURLToPath } from 'node:url'
|
||||
import { describe, expect, it } from 'vitest'
|
||||
import { LOADER_SMOKE_TEST_TIMEOUT_MS } from '@deepseek-ai/dsh-loader-smoke'
|
||||
import { SessionId, type SessionEvent, type SessionHeader } from '@deepseek-ai/dsh-session'
|
||||
import { packChunkRuns, SessionId, type SessionEvent, type SessionHeader } from '@deepseek-ai/dsh-session'
|
||||
import { logPath, toHeaderLine } from '../../../packages/session-persistence/session-persistence-jsonl/src/format.ts'
|
||||
import { runTuiPtySmoke, type TuiPtySmokeOptions } from './pty-harness.ts'
|
||||
|
||||
@@ -66,7 +66,7 @@ async function seedResumeSession(cwd: string): Promise<void> {
|
||||
await mkdir(dirname(file), { recursive: true })
|
||||
await writeFile(file, [
|
||||
JSON.stringify(toHeaderLine(meta)),
|
||||
...events.map(event => JSON.stringify(event)),
|
||||
...packChunkRuns(events).map(record => JSON.stringify(record)),
|
||||
'',
|
||||
].join('\n'))
|
||||
}
|
||||
|
||||
@@ -17,8 +17,7 @@ import * as LlmDeepSeek from '@deepseek-ai/dsh-llm-deepseek'
|
||||
import { installLlmReplay, parseSessionLog } from '@deepseek-ai/dsh-llm-replay'
|
||||
import PlanModeService from '@deepseek-ai/dsh-plan-mode'
|
||||
import TokenMeterService from '@deepseek-ai/dsh-token-meter'
|
||||
import type { Session, SessionEvent } from '@deepseek-ai/dsh-session'
|
||||
import { SessionId } from '@deepseek-ai/dsh-session'
|
||||
import { packChunkRuns, SessionId, type Session, type SessionEvent } from '@deepseek-ai/dsh-session'
|
||||
import SubagentService from '@deepseek-ai/dsh-subagent'
|
||||
import * as SubagentSpawn from '@deepseek-ai/dsh-subagent-spawn'
|
||||
import * as ToolSubagent from '@deepseek-ai/dsh-tool-subagent'
|
||||
@@ -27,6 +26,8 @@ import * as ToolTodo from '@deepseek-ai/dsh-tool-todo'
|
||||
import * as ToolRalph from '@deepseek-ai/dsh-tool-ralph'
|
||||
import * as ToolWorkflow from '@deepseek-ai/dsh-tool-workflow'
|
||||
import { createTuiChat, FILE_REFERENCE_PROMPT } from '@deepseek-ai/dsh-tui'
|
||||
import LocalSpillStore from '@deepseek-ai/dsh-spill-local'
|
||||
import * as SpillPolicy from '@deepseek-ai/dsh-spill-policy'
|
||||
import UserInteractionService from '@deepseek-ai/dsh-user-interaction'
|
||||
import WorkerWorkflowEngine from '@deepseek-ai/dsh-workflow-workerthread'
|
||||
import { HeadlessTerminal } from '../../../packages/ui/tui/tests/headless-terminal.ts'
|
||||
@@ -56,6 +57,13 @@ interface Scenario {
|
||||
* mounts it; the rest cover the default, todo-free composition.
|
||||
*/
|
||||
enableTodo?: boolean
|
||||
/**
|
||||
* Mount the spill stack (local backend + policy) with this inline cap, as the
|
||||
* shipped configs do. The dispatch-spill scenario proves the durable
|
||||
* `tool/code-dispatch` copy of an oversized sub-result is bounded to a
|
||||
* preview + locator while the program value stays whole.
|
||||
*/
|
||||
spillMaxInlineBytes?: number
|
||||
}
|
||||
|
||||
const SCENARIOS: Scenario[] = [
|
||||
@@ -96,6 +104,14 @@ const SCENARIOS: Scenario[] = [
|
||||
expectedEventCounts: { 'tool/code-dispatch': 2 },
|
||||
recorded: true,
|
||||
},
|
||||
{
|
||||
name: 'code-mode-dispatch-spill',
|
||||
composition: 'code',
|
||||
expectedTools: ['run_code'],
|
||||
expectedEventCounts: { 'tool/code-dispatch-start': 1, 'tool/code-dispatch': 1 },
|
||||
recorded: true,
|
||||
spillMaxInlineBytes: 600,
|
||||
},
|
||||
{
|
||||
name: 'dynamic-workflow',
|
||||
composition: 'native',
|
||||
@@ -154,7 +170,7 @@ function userPrompts(rawLog: string): string[] {
|
||||
function rawSessionLog(session: Session): string {
|
||||
return [
|
||||
JSON.stringify({ type: 'session', ...session.header }),
|
||||
...session.events.map(event => JSON.stringify(event)),
|
||||
...packChunkRuns(session.events).map(record => JSON.stringify(record)),
|
||||
'',
|
||||
].join('\n')
|
||||
}
|
||||
@@ -225,6 +241,10 @@ async function mountScenarioContext(
|
||||
if (scenario.composition === 'code' || scenario.composition === 'advanced') {
|
||||
await ctx.plugin(WorkerCodeRuntime, {})
|
||||
}
|
||||
if (scenario.spillMaxInlineBytes !== undefined) {
|
||||
await ctx.plugin(LocalSpillStore, { root: join(cwd, '.spill') })
|
||||
await ctx.plugin(SpillPolicy, { maxInlineBytes: scenario.spillMaxInlineBytes })
|
||||
}
|
||||
if (scenario.composition === 'advanced') await ctx.plugin(ToolCordis, { vmTimeoutMs: 5_000 })
|
||||
if (MODE === 'record' && scenario.recorded) {
|
||||
await ctx.plugin(LlmDeepSeek)
|
||||
@@ -344,6 +364,17 @@ async function runScenario(scenario: Scenario): Promise<ScenarioResult> {
|
||||
expect(events.filter(event => event.type === 'user/message' && event.data.source.kind === 'plugin').map(event => (event.data as { content: unknown }).content))
|
||||
.toContainEqual([{ type: 'text', text: 'The user switched this session back to the default mode.' }])
|
||||
}
|
||||
if (scenario.spillMaxInlineBytes !== undefined) {
|
||||
// The REAL pipeline ran (tools execute on replay too): the durable
|
||||
// dispatch copy is bounded to a preview + locator under the run cwd,
|
||||
// while the outer result still carries the program's whole value.
|
||||
const dispatch = events.find(event => (event.type as string) === 'tool/code-dispatch')
|
||||
const content = (dispatch?.data as { content: { type: string; text?: string }[] }).content
|
||||
const text = content.filter(block => block.type === 'text').map(block => block.text ?? '').join('')
|
||||
expect(Buffer.byteLength(text, 'utf8')).toBeLessThanOrEqual(scenario.spillMaxInlineBytes)
|
||||
expect(text).toContain('Full formatted result stored at:')
|
||||
expect(text).toContain('.spill')
|
||||
}
|
||||
expect(events.filter(event => event.type === 'tool/result').every(event => !event.data.isError)).toBe(true)
|
||||
expect(events.filter(event => event.type === 'turn/end').every(event => event.data.reason.kind !== 'error')).toBe(true)
|
||||
if (scenario.name === 'dynamic-workflow' || scenario.name === 'cordis-dynamic-toolchain') {
|
||||
|
||||
Reference in New Issue
Block a user