feat(coordinator): 添加团队节点默认最大工具迭代次数配置
添加 DEFAULT_TEAM_NODE_MAX_TOOL_ITERATIONS 配置项以控制团队节点的最大工具迭代次数， 并修改 LocalAgentRunner 中的逻辑来使用此默认值当 envelope 中未指定时。 fix(runtime): 修复团队节点运行成功判断逻辑 更新运行成功判断条件，将 finish_reason 为 "max_tool_iterations_finalized" 的情况 视为运行失败，并添加对原始工具调用输出的检测，避免将其误判为成功完成。 feat(mcp): 添加团队工作流MCP工具类别支持 增加新的本地MCP工具类别 "team_workflow" 及其对应的工具创建功能， 为团队工作流提供本地工具支持。 refactor(engine): 调整AgentLoop最大工具迭代次数设置 将 AgentProfile 中的默认 max_tool_iterations 从 30 增加到 100， 同时移除 TaskExecutionPlanner 构造函数中的重复参数传递。 perf(mcp): 优化MCP连接管理避免重复连接 添加 mcp_connected 标志来跟踪MCP连接状态，确保 connect_all 只执行一次， 提高性能并避免不必要的重复连接。 refactor(skills): 移除技能团队模板相关功能 移除与技能团队模板相关的代码，包括解析、存储和处理逻辑， 简化技能记录结构和加载流程。 feat(process): 增强会话过程投影器功能 添加技能激活快照事件处理，改进团队运行完成消息显示， 并增强技能激活事件的时间戳记录功能。 refactor(tasks): 简化任务尝试编排器团队执行逻辑 移除团队执行相关代码，将所有任务统一按单步执行处理， 简化任务编排器的复杂度并提升执行效率。 fix(evidence): 修复节点证据评估中需求验证逻辑 更新节点证据评估逻辑，跳过自然语言证据需求的确定性验证， 只执行机器可读的需求验证，避免因自然语言需求导致的节点失败。
This commit is contained in:
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# Template-Guided Team Routing Implementation Plan
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> **For agentic workers:** REQUIRED SUB-SKILL: Use superpowers:subagent-driven-development (recommended) or superpowers:executing-plans to implement this plan task-by-task. Steps use checkbox (`- [ ]`) syntax for tracking.
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**Goal:** Let a root Main Agent choose Team execution on its first provider response whenever an activated Skill supplies a valid Team template, while preserving an intentional zero-extra-round single-agent path.
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**Architecture:** Keep `ExecutionGraph`, `ExecutionNode`, `LocalAgentRunner`, and `run_agent_team` unchanged. Add a small Main-Agent routing state inside `AgentLoop`: it selects the first valid activated template, adds compact first-turn guidance, classifies the first provider response as `team` or `single`, persists a structured mode event, and prevents a later mid-run Team switch after single-agent work starts. Project that event into the existing Task process stream; no frontend work is included.
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**Tech Stack:** Python 3.12, asyncio, dataclasses, pytest, existing `AgentLoop`, session event store, process projector, and Team tool runtime.
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---
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## File Structure
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- `app-instance/backend/beaver/engine/loop.py`: primary-template selection, first-turn guidance, mode classification/lock, tool-call filtering, and persistent routing event.
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- `app-instance/backend/beaver/services/process_service.py`: project the routing event into the existing task process stream.
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- `app-instance/backend/tests/unit/test_agent_loop.py`: Main-Agent prompt, first-turn Team, first-turn Single, mixed-call, and no-template regression tests.
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- `app-instance/backend/tests/unit/test_process_projection.py`: routing-event projection test.
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No changes to Planner, Team scheduler/runtime, ToolAssembler, ToolExecutor, evidence gate, final synthesis gate, frontend, or Skill learning are required.
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### Task 1: Select a Primary Template and Make First-Turn Routing Explicit
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**Files:**
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- Modify: `app-instance/backend/beaver/engine/loop.py`
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- Modify: `app-instance/backend/tests/unit/test_agent_loop.py`
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- [ ] **Step 1: Add a sequenced provider and a valid template fixture to the AgentLoop test module**
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Add imports for `SkillContext` and `ToolCall`, then add a provider that captures the system prompt and returns supplied responses in sequence:
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```python
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class SequencedProvider(LLMProvider):
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def __init__(self, responses: list[LLMResponse]) -> None:
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super().__init__()
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self.responses = list(responses)
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self.calls: list[dict[str, Any]] = []
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async def chat(self, messages: list[dict], tools: list[dict] | None = None, **_: Any) -> LLMResponse:
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self.calls.append({"messages": messages, "tools": tools})
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return self.responses.pop(0)
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def get_default_model(self) -> str:
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return "stub-model"
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def _team_template_skill(name: str = "finance-report") -> SkillContext:
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return SkillContext(
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name=name,
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content="# Finance report",
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team_template={
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"version": 1,
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"strategy": "dag",
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"nodes": [{"node_id": "collect", "task": "Collect official sources"}],
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},
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)
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```
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- [ ] **Step 2: Write failing first-turn guidance and deterministic-primary tests**
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```python
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def test_root_task_with_template_adds_first_turn_team_routing_guidance(tmp_path) -> None:
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provider = RecordingProvider()
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loop = AgentLoop(loader=EngineLoader(workspace=tmp_path))
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asyncio.run(loop.process_direct(
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"compare financial reports",
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session_id="session",
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task_id="task-1",
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task_mode=True,
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pinned_skill_contexts=[_team_template_skill(), _team_template_skill("ignored")],
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provider_bundle=_bundle(provider),
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))
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system_content = "\n".join(
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str(message["content"])
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for message in provider.messages_by_call[0]
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if message["role"] == "system"
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)
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assert "choose one execution path in this first response" in system_content
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assert "run_agent_team" in system_content
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assert '"skill_name":"finance-report"' in system_content
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assert "ignored" not in system_content
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def test_empty_template_nodes_do_not_enable_first_turn_team_routing(tmp_path) -> None:
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provider = RecordingProvider()
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loop = AgentLoop(loader=EngineLoader(workspace=tmp_path))
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empty = SkillContext(name="empty", content="# Empty", team_template={"nodes": []})
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asyncio.run(loop.process_direct(
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"single lookup",
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session_id="session",
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task_id="task-1",
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task_mode=True,
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pinned_skill_contexts=[empty],
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provider_bundle=_bundle(provider),
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))
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assert "choose one execution path in this first response" not in provider.system_prompts[0]
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```
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Extend `RecordingProvider` to retain `messages_by_call` and `system_prompts`, instead of creating a second nearly-identical fixture.
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- [ ] **Step 3: Run the focused tests to verify failure**
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Run:
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```bash
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cd app-instance/backend && uv run pytest tests/unit/test_agent_loop.py -q
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```
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Expected: FAIL because no Main-Agent template selector or first-turn routing guidance exists.
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- [ ] **Step 4: Add a private, immutable routing-selection value and selector in `loop.py`**
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Place this near `AgentRunResult`:
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```python
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@dataclass(frozen=True, slots=True)
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class _TeamTemplateRouting:
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skill_name: str
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template: dict[str, Any]
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ignored_skill_names: tuple[str, ...] = ()
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def _select_main_agent_team_template(
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activated_skills: list[SkillContext],
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) -> _TeamTemplateRouting | None:
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candidates = [
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skill
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for skill in activated_skills
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if isinstance(skill.team_template, dict)
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and isinstance(skill.team_template.get("nodes"), list)
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and bool(skill.team_template["nodes"])
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]
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if not candidates:
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return None
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return _TeamTemplateRouting(
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skill_name=candidates[0].name,
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template=dict(candidates[0].team_template or {}),
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ignored_skill_names=tuple(skill.name for skill in candidates[1:]),
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)
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```
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This intentionally mirrors, but does not alter, `TaskExecutionPlanner._select_team_template()`: planner adaptation metadata and Main-Agent first-turn routing have different lifecycles. Do not move the helper into Planner or use Planner as a runtime dependency.
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- [ ] **Step 5: Build compact guidance only when a root Task can actually invoke the Team tool**
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Replace the static-only Team section with a helper that accepts the routing value:
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```python
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@staticmethod
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def _team_template_routing_prompt(routing: _TeamTemplateRouting) -> str:
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template_payload = json.dumps(
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{"skill_name": routing.skill_name, "template": routing.template},
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ensure_ascii=False,
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separators=(",", ":"),
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)
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return (
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"# Task Agent Team Routing\n\n"
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"An active Skill provides this primary Team template:\n"
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f"{template_payload}\n\n"
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"Before beginning ordinary work, choose one execution path in this first response. "
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"For staged collection, extraction, validation, comparison, research, or reporting represented "
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"by this template, call `run_agent_team` now using task-only nodes derived from it. "
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"Choose single-agent execution only for a plainly one-step request, an explicit request not to "
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"delegate, or a template that does not fit the immediate request. Do not call ordinary tools "
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"before this choice. If choosing single-agent execution, call ordinary tools or answer normally "
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"without explaining the routing choice."
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)
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```
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In `_process_direct_impl()`, calculate the value after activated Skills are resolved. Pass it into `_extra_guidance_sections()` only when all are true:
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```python
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is_root_task = task_mode and not parent_session_id and not str(source or "").startswith("team:")
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team_tool_available = any(spec.name == AGENT_TEAM_TOOL_NAME for spec in selected_tool_specs)
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routing_template = _select_main_agent_team_template(activated_skills)
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routing_enabled = is_root_task and team_tool_available and routing_template is not None
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```
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Keep `TASK_AGENT_TEAM_CAPABILITY_PROMPT` for ordinary root Task capability exposure. Do not add guidance for empty/invalid templates, child Team nodes, non-Task runs, or when `run_agent_team` is absent.
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- [ ] **Step 6: Run the focused tests to verify they pass**
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Run:
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```bash
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cd app-instance/backend && uv run pytest tests/unit/test_agent_loop.py -q
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```
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Expected: PASS, including existing root-Team-tool visibility coverage.
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### Task 2: Lock First-Turn Mode and Persist the Machine-Readable Decision
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**Files:**
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- Modify: `app-instance/backend/beaver/engine/loop.py`
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- Modify: `app-instance/backend/tests/unit/test_agent_loop.py`
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- [ ] **Step 1: Write failing Team, Single, mixed-call, and legacy behavior tests**
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Use `ToolCall` objects in a `SequencedProvider`; use the normal registered `run_agent_team` only with a `tool_executor_override` stub so the test checks AgentLoop routing without starting a real Team.
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```python
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def test_first_turn_agent_team_call_records_team_mode_and_executes_only_team(tmp_path) -> None:
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provider = SequencedProvider([
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LLMResponse(
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content="",
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tool_calls=[
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ToolCall(id="team", name="run_agent_team", arguments={"nodes": [{"node_id": "collect", "task": "Collect"}]}),
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ToolCall(id="search", name="web_search", arguments={"query": "must not run"}),
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],
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provider_name="stub",
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model="stub-model",
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),
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LLMResponse(content="done", provider_name="stub", model="stub-model"),
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])
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executor = CapturingToolExecutor()
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loop = AgentLoop(loader=EngineLoader(workspace=tmp_path))
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asyncio.run(loop.process_direct(
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"compare finance reports",
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session_id="session",
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task_id="task-1",
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task_mode=True,
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pinned_skill_contexts=[_team_template_skill()],
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provider_bundle=_bundle(provider),
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tool_executor_override=executor,
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))
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assert [call.name for call in executor.calls] == ["run_agent_team"]
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decision = _event_payload(loop, "session", "execution_mode_selected")
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assert decision == {
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"task_id": "task-1",
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"execution_mode": "team",
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"routing_source": "main_agent_first_turn",
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"primary_template_skill": "finance-report",
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"ignored_template_skills": [],
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}
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def test_first_turn_ordinary_tool_records_single_and_blocks_later_team_call(tmp_path) -> None:
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provider = SequencedProvider([
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LLMResponse(
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content="",
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tool_calls=[ToolCall(id="search", name="web_search", arguments={"query": "one step"})],
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provider_name="stub",
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model="stub-model",
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),
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LLMResponse(
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content="",
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tool_calls=[ToolCall(id="team", name="run_agent_team", arguments={"nodes": [{"node_id": "late", "task": "Late"}]})],
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provider_name="stub",
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model="stub-model",
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),
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LLMResponse(content="done", provider_name="stub", model="stub-model"),
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])
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executor = CapturingToolExecutor()
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loop = AgentLoop(loader=EngineLoader(workspace=tmp_path))
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asyncio.run(loop.process_direct(
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"one-step lookup",
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session_id="session",
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task_id="task-1",
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task_mode=True,
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pinned_skill_contexts=[_team_template_skill()],
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provider_bundle=_bundle(provider),
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tool_executor_override=executor,
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))
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assert [call.name for call in executor.calls] == ["web_search"]
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assert "run_agent_team" not in provider.tool_names_by_call[1]
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late_result = _tool_result_by_call_id(loop, "session", "team")
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assert late_result["error"] == "execution_mode_locked_single"
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assert _event_payload(loop, "session", "execution_mode_selected")["execution_mode"] == "single"
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```
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Also assert that a root Task with no template keeps `run_agent_team` in every provider schema, preserving legacy behavior.
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- [ ] **Step 2: Run the test module to verify failure**
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Run:
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|
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```bash
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cd app-instance/backend && uv run pytest tests/unit/test_agent_loop.py -q
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```
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Expected: FAIL because AgentLoop has no decision event, no per-run mode state, and executes mixed/later Team calls normally.
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- [ ] **Step 3: Add mode state and first-response classification immediately after the provider response**
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Before the `while True` loop set:
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```python
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routing_mode: str | None = None
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```
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After `response = await provider.chat(**chat_kwargs)` and before serializing/appending the assistant message, classify only once when `routing_enabled` is true:
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```python
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if routing_enabled and routing_mode is None:
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tool_names = {self._tool_call_name(tool_call) for tool_call in response.tool_calls}
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routing_mode = "team" if AGENT_TEAM_TOOL_NAME in tool_names else "single"
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append_message(
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resolved_session_id,
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run_id=resolved_run_id,
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role="system",
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event_type="execution_mode_selected",
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event_payload={
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"task_id": task_id,
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"attempt_index": attempt_index,
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"execution_mode": routing_mode,
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"routing_source": "main_agent_first_turn",
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"primary_template_skill": routing_template.skill_name,
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"ignored_template_skills": list(routing_template.ignored_skill_names),
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},
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content=None,
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context_visible=False,
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source=source,
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title=title,
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model=final_model,
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user_id=user_id,
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||||
)
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```
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Do not write this event for runs without `routing_enabled`. A no-tool first response selects `single` before the normal final-answer branch.
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||||
- [ ] **Step 4: Apply the no-mixed-mode and single-lock behavior at the call boundary**
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Add two private helpers:
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|
||||
```python
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@staticmethod
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def _calls_for_execution_mode(tool_calls: list[Any], routing_mode: str | None) -> list[Any]:
|
||||
if routing_mode != "team":
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return list(tool_calls)
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return [call for call in tool_calls if AgentLoop._tool_call_name(call) == AGENT_TEAM_TOOL_NAME]
|
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|
||||
|
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@staticmethod
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def _team_locked_result(tool_call: Any) -> ToolResult:
|
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return ToolResult(
|
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success=False,
|
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content="Agent Team can only be selected in the first response of this Task run.",
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||||
tool_name=AGENT_TEAM_TOOL_NAME,
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||||
error="execution_mode_locked_single",
|
||||
)
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||||
```
|
||||
|
||||
Then use these rules in the loop:
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||||
|
||||
1. If first response selected `team`, serialize and execute only `run_agent_team`; ordinary calls from that response receive no execution.
|
||||
2. If `routing_mode == "single"` and the current iteration is after the first response, remove `run_agent_team` from `chat_kwargs["tools"]` before calling the provider.
|
||||
3. If a later response nevertheless emits `run_agent_team`, do not call the executor. Add `_team_locked_result()` through the same `tool_result_recorded` and context-builder paths as ordinary tool failures.
|
||||
4. Preserve the normal concurrent-execution decision for the remaining executable calls.
|
||||
|
||||
Keep original tool schemas and ToolExecutor behavior unchanged for no-template runs. Do not alter `allowed_tool_names` behavior or use it as a source of tools.
|
||||
|
||||
- [ ] **Step 5: Run focused AgentLoop tests**
|
||||
|
||||
Run:
|
||||
|
||||
```bash
|
||||
cd app-instance/backend && uv run pytest tests/unit/test_agent_loop.py -q
|
||||
```
|
||||
|
||||
Expected: PASS. The test verifies no extra provider call is made solely for mode selection, mixed first-turn calls execute only Team, and late Team calls are rejected after Single mode.
|
||||
|
||||
### Task 3: Project Routing Decisions into the Task Process Stream
|
||||
|
||||
**Files:**
|
||||
|
||||
- Modify: `app-instance/backend/beaver/services/process_service.py`
|
||||
- Modify: `app-instance/backend/tests/unit/test_process_projection.py`
|
||||
|
||||
- [ ] **Step 1: Write a failing process-projection test**
|
||||
|
||||
```python
|
||||
def test_process_projection_maps_main_agent_execution_mode_selection(tmp_path: Path) -> None:
|
||||
session = SessionManager(tmp_path)
|
||||
run_store = RunMemoryStore(tmp_path / "memory" / "runs")
|
||||
session.append_message(
|
||||
"web:test",
|
||||
run_id="main-run",
|
||||
role="system",
|
||||
event_type="execution_mode_selected",
|
||||
event_payload={
|
||||
"task_id": "task-1",
|
||||
"attempt_index": 1,
|
||||
"execution_mode": "team",
|
||||
"routing_source": "main_agent_first_turn",
|
||||
"primary_template_skill": "finance-report",
|
||||
"ignored_template_skills": ["secondary-template"],
|
||||
},
|
||||
context_visible=False,
|
||||
)
|
||||
|
||||
projection = SessionProcessProjector(session, run_store).project("web:test")
|
||||
|
||||
event = next(item for item in projection["events"] if item["kind"] == "execution_mode_selected")
|
||||
assert event["status"] == "done"
|
||||
assert event["metadata"]["execution_mode"] == "team"
|
||||
assert event["metadata"]["primary_template_skill"] == "finance-report"
|
||||
assert event["metadata"]["ignored_template_skills"] == ["secondary-template"]
|
||||
```
|
||||
|
||||
- [ ] **Step 2: Run it to verify failure**
|
||||
|
||||
Run:
|
||||
|
||||
```bash
|
||||
cd app-instance/backend && uv run pytest tests/unit/test_process_projection.py -q
|
||||
```
|
||||
|
||||
Expected: FAIL with `StopIteration`, because the projector ignores `execution_mode_selected`.
|
||||
|
||||
- [ ] **Step 3: Add a narrow event branch in `SessionProcessProjector.project()`**
|
||||
|
||||
Place the branch after `skill_activation_snapshotted` and before Team-completion handling:
|
||||
|
||||
```python
|
||||
elif record.event_type == "execution_mode_selected":
|
||||
run_id = record.run_id or root_run_id
|
||||
parent_run_id = root_run_id if run_id != root_run_id else None
|
||||
mode = str(payload.get("execution_mode") or "single")
|
||||
add_event(
|
||||
event_id=_event_id(record, "execution-mode"),
|
||||
run_id=str(run_id),
|
||||
parent_run_id=parent_run_id,
|
||||
kind="execution_mode_selected",
|
||||
actor_type="system",
|
||||
actor_id="main-agent-router",
|
||||
actor_name="Main Agent",
|
||||
text="Main Agent selected Team execution." if mode == "team" else "Main Agent selected single-agent execution.",
|
||||
created_at=created_at,
|
||||
status="done",
|
||||
metadata={
|
||||
**dict(payload),
|
||||
"task_id": task_id,
|
||||
"attempt_index": attempt_index,
|
||||
"timeline_type": "execution_mode",
|
||||
},
|
||||
)
|
||||
```
|
||||
|
||||
Do not add frontend rendering in this task. The projected event is enough for the existing API/process payload and future UI work.
|
||||
|
||||
- [ ] **Step 4: Run focused projection tests**
|
||||
|
||||
Run:
|
||||
|
||||
```bash
|
||||
cd app-instance/backend && uv run pytest tests/unit/test_process_projection.py -q
|
||||
```
|
||||
|
||||
Expected: PASS.
|
||||
|
||||
### Task 4: Regression Verification and Steven Docker Acceptance
|
||||
|
||||
**Files:**
|
||||
|
||||
- No new production files.
|
||||
- Modify only test fixtures/assertions from Tasks 1–3 if a compatibility issue is exposed.
|
||||
|
||||
- [ ] **Step 1: Run all directly affected unit tests**
|
||||
|
||||
Run:
|
||||
|
||||
```bash
|
||||
cd app-instance/backend && uv run pytest \
|
||||
tests/unit/test_agent_loop.py \
|
||||
tests/unit/test_process_projection.py \
|
||||
tests/unit/test_team_node_tool_policy.py \
|
||||
tests/unit/test_task_execution_planner.py \
|
||||
tests/unit/test_task_team_synthesis_outcome.py \
|
||||
-q
|
||||
```
|
||||
|
||||
Expected: PASS. Do not change tests outside this feature to accommodate unrelated Python/TestClient cleanup behavior.
|
||||
|
||||
- [ ] **Step 2: Verify static quality for the scoped diff**
|
||||
|
||||
Run:
|
||||
|
||||
```bash
|
||||
git diff --check -- \
|
||||
app-instance/backend/beaver/engine/loop.py \
|
||||
app-instance/backend/beaver/services/process_service.py \
|
||||
app-instance/backend/tests/unit/test_agent_loop.py \
|
||||
app-instance/backend/tests/unit/test_process_projection.py
|
||||
```
|
||||
|
||||
Expected: no output and exit status 0.
|
||||
|
||||
- [ ] **Step 3: Deploy only after local tests pass and verify the real MGM/Galaxy route**
|
||||
|
||||
Run the established Steven deployment procedure:
|
||||
|
||||
```bash
|
||||
docker cp app-instance/backend/beaver app-instance-steven:/opt/app/backend/
|
||||
docker cp app-instance/backend/pyproject.toml app-instance-steven:/opt/app/backend/pyproject.toml
|
||||
docker exec app-instance-steven sh -lc 'cd /opt/app/backend && uv pip install --system --no-deps -e .'
|
||||
docker restart app-instance-steven
|
||||
curl -fsS http://127.0.0.1:20000/api/ping
|
||||
```
|
||||
|
||||
Create a fresh MGM/Galaxy finance-report Task and inspect its session/task process events. Acceptance requires this ordering:
|
||||
|
||||
```text
|
||||
skill_activation_snapshotted
|
||||
→ execution_mode_selected {execution_mode: team, primary_template_skill: mgm-galaxy-financial-chart-report-safe}
|
||||
→ tool_call_started: run_agent_team
|
||||
→ run_agent_team_debug: invoke_started
|
||||
→ task_team_run_completed or task_team_run_failed
|
||||
```
|
||||
|
||||
The first ordinary `web_search` must be emitted by a Team node, never by the root Main Agent. If the model intentionally selects Single for this known staged finance template, stop and inspect the captured first-turn system prompt/tool call before changing code.
|
||||
|
||||
- [ ] **Step 4: Report and stop**
|
||||
|
||||
Report modified files, focused test outputs, Docker health, real-task event ordering, `git diff --stat`, and remaining model-mediated routing risk. Do not stage or commit unless the user explicitly asks.
|
||||
|
||||
## Plan Self-Review
|
||||
|
||||
- Scope coverage: primary template selection, first-turn guidance, mode selection without extra LLM round/reason text, mode lock, raw event persistence, process projection, and real MGM/Galaxy verification are covered.
|
||||
- Compatibility: no-template runs keep existing Team-tool exposure; child Team nodes still cannot see the tool; graph/runtime/tool scope/evidence/synthesis behavior is untouched.
|
||||
- Out-of-scope guard: no Planner heuristic change, no frontend, no fixed roles, no nested Team, and no new Team model appear in the implementation tasks.
|
||||
|
||||
Reference in New Issue
Block a user