Files
AstrBot/astrbot/core/astr_agent_hooks.py

78 lines
2.3 KiB
Python

from typing import Any
from mcp.types import CallToolResult
from astrbot.core.agent.hooks import BaseAgentRunHooks
from astrbot.core.agent.run_context import ContextWrapper
from astrbot.core.agent.tool import FunctionTool
from astrbot.core.astr_agent_context import AstrAgentContext
from astrbot.core.pipeline.context_utils import call_event_hook
from astrbot.core.star.star_handler import EventType
class MainAgentHooks(BaseAgentRunHooks[AstrAgentContext]):
async def on_agent_begin(
self, run_context: ContextWrapper[AstrAgentContext]
) -> None:
await call_event_hook(
run_context.context.event,
EventType.OnAgentBeginEvent,
run_context,
)
async def on_agent_done(self, run_context, llm_response) -> None:
# 执行事件钩子
if llm_response and llm_response.reasoning_content:
# we will use this in result_decorate stage to inject reasoning content to chain
run_context.context.event.set_extra(
"_llm_reasoning_content", llm_response.reasoning_content
)
await call_event_hook(
run_context.context.event,
EventType.OnLLMResponseEvent,
llm_response,
)
await call_event_hook(
run_context.context.event,
EventType.OnAgentDoneEvent,
run_context,
llm_response,
)
async def on_tool_start(
self,
run_context: ContextWrapper[AstrAgentContext],
tool: FunctionTool[Any],
tool_args: dict | None,
) -> None:
await call_event_hook(
run_context.context.event,
EventType.OnUsingLLMToolEvent,
tool,
tool_args,
)
async def on_tool_end(
self,
run_context: ContextWrapper[AstrAgentContext],
tool: FunctionTool[Any],
tool_args: dict | None,
tool_result: CallToolResult | None,
) -> None:
run_context.context.event.clear_result()
await call_event_hook(
run_context.context.event,
EventType.OnLLMToolRespondEvent,
tool,
tool_args,
tool_result,
)
class EmptyAgentHooks(BaseAgentRunHooks[AstrAgentContext]):
pass
MAIN_AGENT_HOOKS = MainAgentHooks()