378d599125
Multi-agent AI automation system with shared message bus, specialized roles (coder/researcher/reviewer), and deny-by-default security. - Config system with Pydantic validation and YAML loading - Async message bus with inter-agent delegation - LLM providers: Anthropic (Claude) and LiteLLM (DeepSeek/Kimi/MiniMax) - Tool system: registry, builtins (file/bash/web), approval engine, MCP client - Agent engine with tool-calling loop and orchestrator for multi-agent management - CLI channel (REPL) and Discord channel - Docker + Dockge deployment config - Typer CLI: chat, serve, status, agents commands Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
23 lines
484 B
Python
23 lines
484 B
Python
"""Base channel interface."""
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from __future__ import annotations
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from abc import ABC, abstractmethod
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from xtrm_agent.bus import MessageBus
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class BaseChannel(ABC):
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"""Abstract base for all input/output channels."""
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def __init__(self, bus: MessageBus) -> None:
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self.bus = bus
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@abstractmethod
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async def start(self) -> None:
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"""Start listening for messages."""
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@abstractmethod
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async def stop(self) -> None:
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"""Clean up and stop."""
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