Soulter
1df49d1d6f
* stage * refactor: 重构 Function Tool 管理并引入 multi agent handsoff 机制 - Updated `star_request.py` to use the global `call_handler` instead of context-specific calls. - Modified `entities.py` to remove the dependency on `FunctionToolManager` and streamline the function tool handling. - Refactored `func_tool_manager.py` to simplify the `FunctionTool` class and its methods, removing deprecated code and enhancing clarity. - Adjusted `provider.py` to align with the new function tool structure, removing unnecessary type unions. - Enhanced `star_handler.py` to support agent registration and tool association, introducing `RegisteringAgent` for better encapsulation. - Updated `star_manager.py` to handle tool registration for agents, ensuring proper binding of handlers. - Revised `main.py` in the web searcher package to utilize the new agent registration system for web search tools. * chore: websearch * perf: 减少嵌套 * chore: 移除未使用的 mcp 导入
28 lines
855 B
Python
28 lines
855 B
Python
import mcp
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from dataclasses import dataclass
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from .run_context import ContextWrapper, TContext
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from typing import Generic
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from astrbot.core.provider.entities import LLMResponse
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from astrbot.core.agent.tool import FunctionTool
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@dataclass
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class BaseAgentRunHooks(Generic[TContext]):
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async def on_agent_begin(self, run_context: ContextWrapper[TContext]): ...
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async def on_tool_start(
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self,
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run_context: ContextWrapper[TContext],
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tool: FunctionTool,
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tool_args: dict | None,
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): ...
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async def on_tool_end(
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self,
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run_context: ContextWrapper[TContext],
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tool: FunctionTool,
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tool_args: dict | None,
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tool_result: mcp.types.CallToolResult | None,
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): ...
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async def on_agent_done(
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self, run_context: ContextWrapper[TContext], llm_response: LLMResponse
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): ...
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