refactor(subagent): merge continuation control service
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@@ -31,7 +31,7 @@ This table connects model-visible tool names to the plugin package and service s
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| `@deepseek-ai/dsh-tool-skill` | `skill` | `ctx.tools`, `ctx.agents`, `ctx.skills` | `tool/call`, `tool/result`, `user/message replacement catalogs via agent.inject()` | - | - |
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| `@deepseek-ai/dsh-tool-session-query` | `session_event_read`, `session_event_search`, `session_event_trace`, `session_search`, `session_trace` | `ctx.tools`, `ctx.systemPrompt`, `ctx.sessionQuery`, `a calling Agent for workspace authority` | `tool/call`, `tool/result` | - | The five read-only tools hide provider cursors and authorize every result from the immutable calling agent session. The package is opt-in; compositions that need enforced deadlines or bounded inline output also mount the generic timeout or spill policies. |
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| `@deepseek-ai/dsh-tool-subagent` | `subagent` | `ctx.tools`, `ctx.subagents` | `tool/call`, `tool/result`, `child session events through the chosen provider` | `subagent`, `subagent_fork` | The registered tool name is the load-time `toolName` config (default `subagent`); the schema above is that default. The shipped example agents load this package once per subagent backend, so the model additionally sees `subagent_fork` (bound to the fork backend) with an identical schema — see `apps/cli/config/base.cordis.yml` and `examples/acp-agent/cordis.yml`. |
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| `@deepseek-ai/dsh-tool-subagent-control` | `send_message` | `ctx.tools`, `ctx.subagentControl` | `tool/call`, `tool/result`, `child session events through the control service` | - | The one globally named follow-up tool over continuable background subagents: provider-bound `tool-subagent` instances register distinct delegation tools, while this package registers `send_message` once. |
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| `@deepseek-ai/dsh-tool-subagent-control` | `send_message` | `ctx.tools`, `ctx.subagents` | `tool/call`, `tool/result`, `child session events through ctx.subagents` | - | The one globally named follow-up tool over continuable background subagents: provider-bound `tool-subagent` instances register distinct delegation tools, while this package registers `send_message` once. |
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| `@deepseek-ai/dsh-tool-tasks` | `task_kill`, `task_list`, `task_output` | `ctx.tools`, `ctx.tasks`, `ctx.systemPrompt` | `tool/call`, `tool/result`, `user/message via agent.inject() for background completion notices` | - | The kind-agnostic background-task control surface: background bash commands, PTY sends, and subagents are read, listed, and killed through the same three tools. Loading the plugin attaches the control surface that arms producers' `ctx.tasks.start()`. |
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| `@deepseek-ai/dsh-tool-todo` | `todo_write` | `ctx.tools`, `owning Agent session` | `tool/call`, `todo/write`, `tool/result` | - | todo_write is session-owned state; UIs render the latest todo/write event as a checklist. |
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| `@deepseek-ai/dsh-tool-workflow` | `workflow` | `ctx.tools`, `ctx.workflows`, `ctx.systemPrompt`, `a calling Agent (exec.agent parents the script children)` | `tool/call`, `tool/result` | - | - |
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@@ -1117,7 +1117,7 @@ The five read-only tools hide provider cursors and authorize every result from t
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### `subagent`
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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 continuable background subagent: you receive its subagent id and a task id; collect the result with `task_output`, stop it with `task_kill`, and send follow-up messages with `send_message`.
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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`.
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```json
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{
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@@ -1133,7 +1133,7 @@ Delegate a self-contained task to a subagent (a separate agent that works in its
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},
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"run_in_background": {
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"type": "boolean",
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"description": "Run as a continuable background subagent and return its subagent and task ids; collect with task_output, stop with task_kill, follow up with send_message."
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"description": "Run as a background task and return its id; collect with task_output or stop with task_kill."
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}
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},
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"required": [
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