Rebase onto upstream (a4d95fd)
#12
@@ -300,11 +300,11 @@ class AgentLoop:
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message_tool = self.tools.get("message")
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if isinstance(message_tool, MessageTool):
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message_tool.set_context(msg.channel, msg.chat_id)
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spawn_tool = self.tools.get("spawn")
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if isinstance(spawn_tool, SpawnTool):
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spawn_tool.set_context(msg.channel, msg.chat_id)
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spawn_tool.set_context(msg.channel, msg.chat_id, msg.metadata)
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cron_tool = self.tools.get("cron")
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if isinstance(cron_tool, CronTool):
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cron_tool.set_context(msg.channel, msg.chat_id)
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@@ -505,11 +505,12 @@ class AgentLoop:
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message_tool = self.tools.get("message")
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if isinstance(message_tool, MessageTool):
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message_tool.set_context(origin_channel, origin_chat_id)
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spawn_tool = self.tools.get("spawn")
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if isinstance(spawn_tool, SpawnTool):
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spawn_tool.set_context(origin_channel, origin_chat_id)
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spawn_tool.set_context(origin_channel, origin_chat_id, msg.metadata)
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cron_tool = self.tools.get("cron")
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if isinstance(cron_tool, CronTool):
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cron_tool.set_context(origin_channel, origin_chat_id)
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+46
-48
@@ -20,7 +20,13 @@ from nanobot.agent.tools.wait import WaitForSubagentsTool
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class SubagentManager:
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"""Manages background subagent execution."""
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"""
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Manages background subagent execution.
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Subagents are lightweight agent instances that run in the background
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to handle specific tasks. They share the same LLM provider but have
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isolated context and a focused system prompt.
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"""
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def __init__(
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self,
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@@ -28,8 +34,6 @@ class SubagentManager:
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workspace: Path,
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bus: MessageBus,
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model: str | None = None,
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temperature: float = 0.7,
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max_tokens: int = 4096,
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brave_api_key: str | None = None,
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exec_config: "ExecToolConfig | None" = None,
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restrict_to_workspace: bool = False,
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@@ -42,13 +46,10 @@ class SubagentManager:
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# Quota switching only affects the main agent's own requests, not SubagentManager.
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# Explicit model overrides (e.g. Haiku workers) still take precedence.
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self.model = model or "claude-sonnet-4-6"
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self.temperature = temperature
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self.max_tokens = max_tokens
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self.brave_api_key = brave_api_key
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self.exec_config = exec_config or ExecToolConfig()
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self.restrict_to_workspace = restrict_to_workspace
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self._running_tasks: dict[str, asyncio.Task[None]] = {}
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self._session_tasks: dict[str, set[str]] = {} # session_key -> {task_id, ...}
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self._task_results: dict[str, str] = {}
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async def spawn(
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@@ -58,29 +59,39 @@ class SubagentManager:
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model: str | None = None,
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origin_channel: str = "cli",
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origin_chat_id: str = "direct",
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session_key: str | None = None,
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origin_metadata: dict[str, Any] | None = None,
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) -> str:
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"""Spawn a subagent to execute a task in the background."""
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"""
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Spawn a subagent to execute a task in the background.
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Args:
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task: The task description for the subagent.
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label: Optional human-readable label for the task.
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origin_channel: The channel to announce results to.
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origin_chat_id: The chat ID to announce results to.
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origin_metadata: Optional metadata to propagate to announcement (e.g. suppress_output).
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Returns:
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Status message indicating the subagent was started.
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"""
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task_id = str(uuid.uuid4())[:8]
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display_label = label or task[:30] + ("..." if len(task) > 30 else "")
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origin = {"channel": origin_channel, "chat_id": origin_chat_id}
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origin = {
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"channel": origin_channel,
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"chat_id": origin_chat_id,
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"metadata": origin_metadata or {},
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}
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# Create background task
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bg_task = asyncio.create_task(
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self._run_subagent(task_id, task, display_label, origin, model=model)
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)
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self._running_tasks[task_id] = bg_task
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if session_key:
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self._session_tasks.setdefault(session_key, set()).add(task_id)
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def _cleanup(_: asyncio.Task) -> None:
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self._running_tasks.pop(task_id, None)
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if session_key and (ids := self._session_tasks.get(session_key)):
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ids.discard(task_id)
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if not ids:
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del self._session_tasks[session_key]
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bg_task.add_done_callback(_cleanup)
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# Cleanup when done
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bg_task.add_done_callback(lambda _: self._running_tasks.pop(task_id, None))
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logger.info(f"Spawned subagent [{task_id}]: {display_label}")
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return f"Subagent [{display_label}] started. Task ID: {task_id}"
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@@ -93,26 +104,25 @@ class SubagentManager:
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model: str | None = None,
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) -> None:
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"""Execute the subagent task and announce the result."""
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logger.info("Subagent [{}] starting task: {}", task_id, label)
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logger.info(f"Subagent [{task_id}] starting task: {label}")
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try:
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# Build subagent tools (no message tool)
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tools = ToolRegistry()
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allowed_dir = self.workspace if self.restrict_to_workspace else None
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tools.register(ReadFileTool(workspace=self.workspace, allowed_dir=allowed_dir))
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tools.register(WriteFileTool(workspace=self.workspace, allowed_dir=allowed_dir))
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tools.register(EditFileTool(workspace=self.workspace, allowed_dir=allowed_dir))
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tools.register(ListDirTool(workspace=self.workspace, allowed_dir=allowed_dir))
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tools.register(ReadFileTool(allowed_dir=allowed_dir))
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tools.register(WriteFileTool(allowed_dir=allowed_dir))
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tools.register(EditFileTool(allowed_dir=allowed_dir))
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tools.register(ListDirTool(allowed_dir=allowed_dir))
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tools.register(ExecTool(
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working_dir=str(self.workspace),
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timeout=self.exec_config.timeout,
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restrict_to_workspace=self.restrict_to_workspace,
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path_append=self.exec_config.path_append,
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))
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tools.register(WebSearchTool(api_key=self.brave_api_key))
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tools.register(WebFetchTool())
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spawn_tool = SpawnTool(manager=self)
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spawn_tool.set_context("subagent", origin["chat_id"])
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spawn_tool.set_context("subagent", origin["chat_id"], origin.get("metadata"))
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tools.register(spawn_tool)
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tools.register(WaitForSubagentsTool(manager=self))
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@@ -135,8 +145,6 @@ class SubagentManager:
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messages=messages,
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tools=tools.get_definitions(),
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model=model or self.model,
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temperature=self.temperature,
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max_tokens=self.max_tokens,
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)
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if response.has_tool_calls:
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@@ -147,7 +155,7 @@ class SubagentManager:
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"type": "function",
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"function": {
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"name": tc.name,
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"arguments": json.dumps(tc.arguments, ensure_ascii=False),
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"arguments": json.dumps(tc.arguments),
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},
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}
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for tc in response.tool_calls
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@@ -160,8 +168,8 @@ class SubagentManager:
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# Execute tools
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for tool_call in response.tool_calls:
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args_str = json.dumps(tool_call.arguments, ensure_ascii=False)
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logger.debug("Subagent [{}] executing: {} with arguments: {}", task_id, tool_call.name, args_str)
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args_str = json.dumps(tool_call.arguments)
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logger.debug(f"Subagent [{task_id}] executing: {tool_call.name} with arguments: {args_str}")
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result = await tools.execute(tool_call.name, tool_call.arguments)
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messages.append({
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"role": "tool",
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@@ -176,12 +184,12 @@ class SubagentManager:
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if final_result is None:
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final_result = "Task completed but no final response was generated."
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logger.info("Subagent [{}] completed successfully", task_id)
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logger.info(f"Subagent [{task_id}] completed successfully")
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await self._announce_result(task_id, label, task, final_result, origin, "ok")
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except Exception as e:
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error_msg = f"Error: {str(e)}"
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logger.error("Subagent [{}] failed: {}", task_id, e)
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logger.error(f"Subagent [{task_id}] failed: {e}")
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await self._announce_result(task_id, label, task, error_msg, origin, "error")
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async def _announce_result(
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@@ -215,15 +223,17 @@ Result:
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Summarize this naturally for the user. Keep it brief (1-2 sentences). Do not mention technical details like "subagent" or task IDs."""
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# Inject as system message to trigger main agent
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# Propagate metadata from origin (e.g. suppress_output)
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msg = InboundMessage(
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channel="system",
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sender_id="subagent",
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chat_id=f"{origin['channel']}:{origin['chat_id']}",
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content=announce_content,
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metadata=origin.get("metadata", {}),
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)
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await self.bus.publish_inbound(msg)
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logger.debug("Subagent [{}] announced result to {}:{}", task_id, origin['channel'], origin['chat_id'])
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logger.debug(f"Subagent [{task_id}] announced result to {origin['channel']}:{origin['chat_id']}")
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def _build_subagent_prompt(self, task: str) -> str:
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"""Build a focused system prompt for the subagent."""
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@@ -254,17 +264,6 @@ Skills are available at: {self.workspace}/skills/ (read SKILL.md files as needed
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When you have completed the task, provide a clear summary of your findings or actions."""
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<<<<<<< HEAD
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async def cancel_by_session(self, session_key: str) -> int:
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"""Cancel all subagents for the given session. Returns count cancelled."""
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tasks = [self._running_tasks[tid] for tid in self._session_tasks.get(session_key, [])
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if tid in self._running_tasks and not self._running_tasks[tid].done()]
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for t in tasks:
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t.cancel()
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if tasks:
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await asyncio.gather(*tasks, return_exceptions=True)
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return len(tasks)
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=======
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async def wait_for(self, task_ids: list[str]) -> str:
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"""Wait for specified child subagents to complete and return their results."""
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tasks_to_wait = [
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@@ -283,7 +282,6 @@ When you have completed the task, provide a clear summary of your findings or ac
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else:
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results.append(f"[{tid}]: No result found (invalid ID or task failed before storing)")
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return "\n\n---\n\n".join(results)
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>>>>>>> c606ab9 (Add wait_for_subagents tool and silence child subagent announcements)
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def get_running_count(self) -> int:
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"""Return the number of currently running subagents."""
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@@ -9,19 +9,24 @@ if TYPE_CHECKING:
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class SpawnTool(Tool):
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"""Tool to spawn a subagent for background task execution."""
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"""
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Tool to spawn a subagent for background task execution.
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The subagent runs asynchronously and announces its result back
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to the main agent when complete.
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"""
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def __init__(self, manager: "SubagentManager"):
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self._manager = manager
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self._origin_channel = "cli"
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self._origin_chat_id = "direct"
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self._session_key = "cli:direct"
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def set_context(self, channel: str, chat_id: str) -> None:
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self._origin_metadata: dict[str, Any] = {}
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def set_context(self, channel: str, chat_id: str, metadata: dict[str, Any] | None = None) -> None:
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"""Set the origin context for subagent announcements."""
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self._origin_channel = channel
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self._origin_chat_id = chat_id
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self._session_key = f"{channel}:{chat_id}"
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self._origin_metadata = metadata or {}
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@property
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def name(self) -> str:
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@@ -64,5 +69,5 @@ class SpawnTool(Tool):
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model=model,
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origin_channel=self._origin_channel,
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origin_chat_id=self._origin_chat_id,
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session_key=self._session_key,
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origin_metadata=self._origin_metadata,
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)
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Reference in New Issue
Block a user