steven_li
5ba5c7e4c1
集成新的Beaver后端服务到应用实例中，替换原有的nanobot实现。 主要变更包括： - 在Dockerfile和环境配置中添加Beaver相关路径和配置变量 - 更新工作目录结构从.nanobot到.beaver - 实现Beaver引擎加载器，支持配置文件加载和工具组装 - 添加内置工具如ListDirectoryTool、ReadFileTool、SearchFilesTool - 更新消息处理流程，支持通道适配器和网关模式 - 重构技能系统，支持显式工具提示和嵌入式检索 - 改进错误处理和生命周期管理 此变更使应用实例能够使用统一的Beaver后端进行AI代理运行时管理。
58 lines
1.7 KiB
Python
58 lines
1.7 KiB
Python
"""In-memory channel adapter for tests and local gateway embedding."""
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from __future__ import annotations
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from typing import Any
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from beaver.foundation.events import InboundMessage, MessageBus, OutboundMessage
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class MemoryChannelAdapter:
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"""A local channel that stores outbound messages in memory."""
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def __init__(self, bus: MessageBus, *, name: str = "memory") -> None:
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self.name = name
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self.bus = bus
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self.started = False
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self.sent_messages: list[OutboundMessage] = []
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async def start(self) -> None:
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self.started = True
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async def stop(self) -> None:
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self.started = False
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async def send(self, message: OutboundMessage) -> None:
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self.sent_messages.append(message)
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async def publish_text(
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self,
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content: str,
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*,
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session_id: str | None = None,
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user_id: str | None = None,
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title: str | None = None,
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execution_context: str | None = None,
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model: str | None = None,
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provider_name: str | None = None,
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embedding_model: str | None = None,
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metadata: dict[str, Any] | None = None,
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) -> InboundMessage:
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"""Publish a text message from this channel into the shared bus."""
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message = InboundMessage(
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channel=self.name,
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content=content,
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session_id=session_id,
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user_id=user_id,
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title=title,
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execution_context=execution_context,
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model=model,
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provider_name=provider_name,
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embedding_model=embedding_model,
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metadata=metadata or {},
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)
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await self.bus.publish_inbound(message)
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return message
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