steven_li
cdfc222c9f
- 引入AgentTeamOrchestrator支持多agent协同任务执行 - 增加第三方swarms库依赖并配置git协议替换以改善包管理 - 扩展DelegationManager支持团队任务调度和进度跟踪 - 实现中文bigram分词算法提升中文任务检索准确性 - 调整A2AClient和DelegationManager超时时间从30秒增至600秒 - 优化AgentRunResult状态判断逻辑增加有意义摘要检测 - 修改Dockerfile配置npm仓库镜像地址和git协议映射 - 更新CLI命令行接口支持网关端口配置传递 - 调整提供者超时配置机制增强请求稳定性 - 移除过时的support_group字段简化agent描述符结构 - 增强错误处理和进度事件报告机制改进用户体验
64 lines
1.7 KiB
Python
64 lines
1.7 KiB
Python
"""Agent Team swarms adapter package."""
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from __future__ import annotations
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from importlib import import_module
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from typing import Any
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__all__ = [
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"AgentTeamOrchestrator",
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"BridgeAttempt",
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"BridgeResult",
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"ExecutionMode",
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"NanobotAgentAdapter",
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"ProcedureMemory",
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"ProcedureRecord",
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"ResolvedTeamPlan",
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"RunMemory",
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"RunRecord",
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"SwarmsBridge",
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"SwarmsPolicy",
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"SwarmsRunPlanner",
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"SwarmsRunResult",
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"SwarmsRunSpec",
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]
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def __getattr__(name: str) -> Any:
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if name == "AgentTeamOrchestrator":
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from nanobot.agent_team.orchestrator import AgentTeamOrchestrator
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return AgentTeamOrchestrator
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if name == "NanobotAgentAdapter":
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from nanobot.agent_team.swarms_adapter import NanobotAgentAdapter
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return NanobotAgentAdapter
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if name == "SwarmsBridge":
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from nanobot.agent_team.swarms_bridge import SwarmsBridge
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return SwarmsBridge
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if name == "SwarmsPolicy":
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from nanobot.agent_team.swarms_policy import SwarmsPolicy
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return SwarmsPolicy
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if name == "SwarmsRunPlanner":
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from nanobot.agent_team.swarms_planner import SwarmsRunPlanner
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return SwarmsRunPlanner
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if name in {"ProcedureMemory", "RunMemory"}:
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memory = import_module("nanobot.agent_team.memory")
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return getattr(memory, name)
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if name in {
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"BridgeAttempt",
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"BridgeResult",
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"ExecutionMode",
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"ProcedureRecord",
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"ResolvedTeamPlan",
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"RunRecord",
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"SwarmsRunResult",
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"SwarmsRunSpec",
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}:
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types = import_module("nanobot.agent_team.types")
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return getattr(types, name)
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raise AttributeError(name)
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