feat: add event hooks for tool usage and response handling (#4516)

* feat: add event hooks for tool usage and response handling

* fix: update decorator for LLM tool response handling
This commit is contained in:
Soulter
2026-01-16 16:51:35 +08:00
committed by GitHub
parent 82e2e0d02f
commit f6a189f118
5 changed files with 82 additions and 0 deletions
+6
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@@ -20,7 +20,11 @@ from astrbot.core.star.register import (
)
from astrbot.core.star.register import register_on_llm_request as on_llm_request
from astrbot.core.star.register import register_on_llm_response as on_llm_response
from astrbot.core.star.register import (
register_on_llm_tool_respond as on_llm_tool_respond,
)
from astrbot.core.star.register import register_on_platform_loaded as on_platform_loaded
from astrbot.core.star.register import register_on_using_llm_tool as on_using_llm_tool
from astrbot.core.star.register import (
register_on_waiting_llm_request as on_waiting_llm_request,
)
@@ -53,4 +57,6 @@ __all__ = [
"permission_type",
"platform_adapter_type",
"regex",
"on_using_llm_tool",
"on_llm_tool_respond",
]
+20
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@@ -26,6 +26,19 @@ class MainAgentHooks(BaseAgentRunHooks[AstrAgentContext]):
llm_response,
)
async def on_tool_start(
self,
run_context: ContextWrapper[AstrAgentContext],
tool: FunctionTool[Any],
tool_args: dict | None,
):
await call_event_hook(
run_context.context.event,
EventType.OnCallingFuncToolEvent,
tool,
tool_args,
)
async def on_tool_end(
self,
run_context: ContextWrapper[AstrAgentContext],
@@ -34,6 +47,13 @@ class MainAgentHooks(BaseAgentRunHooks[AstrAgentContext]):
tool_result: CallToolResult | None,
):
run_context.context.event.clear_result()
await call_event_hook(
run_context.context.event,
EventType.OnAfterCallingFuncToolEvent,
tool,
tool_args,
tool_result,
)
# special handle web_search_tavily
if (
+4
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@@ -11,7 +11,9 @@ from .star_handler import (
register_on_decorating_result,
register_on_llm_request,
register_on_llm_response,
register_on_llm_tool_respond,
register_on_platform_loaded,
register_on_using_llm_tool,
register_on_waiting_llm_request,
register_permission_type,
register_platform_adapter_type,
@@ -36,4 +38,6 @@ __all__ = [
"register_platform_adapter_type",
"register_regex",
"register_star",
"register_on_using_llm_tool",
"register_on_llm_tool_respond",
]
@@ -409,6 +409,57 @@ def register_on_llm_response(**kwargs):
return decorator
def register_on_using_llm_tool(**kwargs):
"""当调用函数工具前的事件。
会传入 tool 和 tool_args 参数。
Examples:
```py
from astrbot.core.agent.tool import FunctionTool
@on_using_llm_tool()
async def test(self, event: AstrMessageEvent, tool: FunctionTool, tool_args: dict | None) -> None:
...
```
请务必接收三个参数:event, tool, tool_args
"""
def decorator(awaitable):
_ = get_handler_or_create(awaitable, EventType.OnCallingFuncToolEvent, **kwargs)
return awaitable
return decorator
def register_on_llm_tool_respond(**kwargs):
"""当调用函数工具后的事件。
会传入 tool、tool_args 和 tool 的调用结果 tool_result 参数。
Examples:
```py
from astrbot.core.agent.tool import FunctionTool
from mcp.types import CallToolResult
@on_llm_tool_respond()
async def test(self, event: AstrMessageEvent, tool: FunctionTool, tool_args: dict | None, tool_result: CallToolResult | None) -> None:
...
```
请务必接收四个参数:event, tool, tool_args, tool_result
"""
def decorator(awaitable):
_ = get_handler_or_create(
awaitable, EventType.OnAfterCallingFuncToolEvent, **kwargs
)
return awaitable
return decorator
def register_llm_tool(name: str | None = None, **kwargs):
"""为函数调用(function-calling / tools-use)添加工具。
+1
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@@ -189,6 +189,7 @@ class EventType(enum.Enum):
OnLLMResponseEvent = enum.auto() # LLM 响应后
OnDecoratingResultEvent = enum.auto() # 发送消息前
OnCallingFuncToolEvent = enum.auto() # 调用函数工具
OnAfterCallingFuncToolEvent = enum.auto() # 调用函数工具后
OnAfterMessageSentEvent = enum.auto() # 发送消息后