feat(beaver): 完成Task Team功能v1实现，重构后端架构支持统一内核
新增内部Task系统，包括验证、反馈门控机制，实现自动质量验证 (通过率>=0.75)和用户反馈闭环(satisfied/revise/abandon)。 实现Agent Team v1协调器，支持sequence/parallel/dag执行策略， sub-agent复用主AgentLoop，每个run使用独立memory snapshot。 建立Skill学习pipeline，包含draft/审核/发布/回滚完整生命周期， 通过Task验证通过且用户满意才生成学习候选。 重构目录结构，移除third_party依赖，建立统一engine内核， 所有agent共享运行时基础组件。 更新ContextBuilder清理provider消息字段，增强SkillContext版本管理， 集成TaskExecutionPlanner和TaskSkillResolver实现技能解析机制。
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178
app-instance/backend/beaver/tasks/models.py
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178
app-instance/backend/beaver/tasks/models.py
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"""Models for internal task tracking and validation."""
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from __future__ import annotations
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from dataclasses import dataclass, field
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from typing import Any
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TASK_OPEN_STATUSES = {"open", "running", "validating", "awaiting_feedback", "needs_revision"}
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@dataclass(slots=True)
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class ValidationResult:
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passed: bool
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score: float
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issues: list[str] = field(default_factory=list)
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missing_requirements: list[str] = field(default_factory=list)
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recommended_revision_prompt: str = ""
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validator: str = "heuristic"
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@property
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def accepted(self) -> bool:
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return self.passed and self.score >= 0.75
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def to_dict(self) -> dict[str, Any]:
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return {
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"passed": self.passed,
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"score": self.score,
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"issues": list(self.issues),
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"missing_requirements": list(self.missing_requirements),
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"recommended_revision_prompt": self.recommended_revision_prompt,
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"validator": self.validator,
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"accepted": self.accepted,
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}
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@classmethod
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def from_dict(cls, payload: dict[str, Any] | None) -> "ValidationResult | None":
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if not isinstance(payload, dict):
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return None
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return cls(
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passed=bool(payload.get("passed")),
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score=float(payload.get("score", 0.0) or 0.0),
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issues=[str(item) for item in payload.get("issues") or []],
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missing_requirements=[str(item) for item in payload.get("missing_requirements") or []],
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recommended_revision_prompt=str(payload.get("recommended_revision_prompt") or ""),
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validator=str(payload.get("validator") or "unknown"),
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)
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@dataclass(slots=True)
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class TaskRecord:
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task_id: str
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session_id: str
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description: str
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goal: str
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constraints: list[str]
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priority: int
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status: str
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creator: str
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created_at: str
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updated_at: str
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parent_task_id: str | None = None
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closed_at: str | None = None
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close_reason: str | None = None
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satisfaction: float | None = None
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run_ids: list[str] = field(default_factory=list)
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skill_names: list[str] = field(default_factory=list)
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feedback: list[dict[str, Any]] = field(default_factory=list)
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validation_result: dict[str, Any] | None = None
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metadata: dict[str, Any] = field(default_factory=dict)
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@property
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def is_open(self) -> bool:
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return self.status in TASK_OPEN_STATUSES
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def to_dict(self) -> dict[str, Any]:
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return {
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"task_id": self.task_id,
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"session_id": self.session_id,
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"parent_task_id": self.parent_task_id,
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"description": self.description,
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"goal": self.goal,
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"constraints": list(self.constraints),
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"priority": self.priority,
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"status": self.status,
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"creator": self.creator,
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"created_at": self.created_at,
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"updated_at": self.updated_at,
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"closed_at": self.closed_at,
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"close_reason": self.close_reason,
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"satisfaction": self.satisfaction,
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"run_ids": list(self.run_ids),
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"skill_names": list(self.skill_names),
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"feedback": list(self.feedback),
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"validation_result": self.validation_result,
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"metadata": dict(self.metadata),
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}
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@classmethod
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def from_dict(cls, payload: dict[str, Any]) -> "TaskRecord":
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return cls(
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task_id=str(payload["task_id"]),
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session_id=str(payload["session_id"]),
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parent_task_id=_optional_str(payload.get("parent_task_id")),
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description=str(payload.get("description") or ""),
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goal=str(payload.get("goal") or payload.get("description") or ""),
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constraints=[str(item) for item in payload.get("constraints") or []],
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priority=int(payload.get("priority", 0) or 0),
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status=str(payload.get("status") or "open"),
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creator=str(payload.get("creator") or "main-agent"),
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created_at=str(payload.get("created_at") or ""),
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updated_at=str(payload.get("updated_at") or ""),
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closed_at=_optional_str(payload.get("closed_at")),
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close_reason=_optional_str(payload.get("close_reason")),
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satisfaction=_optional_float(payload.get("satisfaction")),
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run_ids=[str(item) for item in payload.get("run_ids") or []],
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skill_names=[str(item) for item in payload.get("skill_names") or []],
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feedback=[dict(item) for item in payload.get("feedback") or [] if isinstance(item, dict)],
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validation_result=dict(payload["validation_result"]) if isinstance(payload.get("validation_result"), dict) else None,
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metadata=dict(payload.get("metadata") or {}),
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)
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@dataclass(slots=True)
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class TaskEvent:
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event_id: str
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task_id: str
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session_id: str
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event_type: str
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created_at: str
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run_id: str | None = None
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payload: dict[str, Any] = field(default_factory=dict)
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def to_dict(self) -> dict[str, Any]:
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return {
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"event_id": self.event_id,
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"task_id": self.task_id,
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"session_id": self.session_id,
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"run_id": self.run_id,
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"event_type": self.event_type,
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"created_at": self.created_at,
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"payload": dict(self.payload),
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}
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@classmethod
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def from_dict(cls, payload: dict[str, Any]) -> "TaskEvent":
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return cls(
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event_id=str(payload["event_id"]),
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task_id=str(payload["task_id"]),
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session_id=str(payload["session_id"]),
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run_id=_optional_str(payload.get("run_id")),
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event_type=str(payload.get("event_type") or ""),
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created_at=str(payload.get("created_at") or ""),
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payload=dict(payload.get("payload") or {}),
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)
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@dataclass(slots=True)
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class MainAgentDecision:
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mode: str
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reason: str
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starts_new_task: bool = False
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@property
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def is_task(self) -> bool:
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return self.mode == "task"
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def _optional_str(value: Any) -> str | None:
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if value in (None, ""):
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return None
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return str(value)
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def _optional_float(value: Any) -> float | None:
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if value in (None, ""):
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return None
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return float(value)
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