Dt8333
7dd95d8a59
* chore: auto fix by ruff * refactor: 统一修正返回类型注解为 None/bool 以匹配实现 * refactor: 将 _get_next_page 改为异步并移除多余的请求错误抛出 * refactor: 将 get_client 的返回类型改为 object * style: 为 LarkMessageEvent 的相关方法添加返回类型注解 None --------- Co-authored-by: Soulter <37870767+Soulter@users.noreply.github.com>
89 lines
3.0 KiB
Python
89 lines
3.0 KiB
Python
from typing import Any
|
|
|
|
from mcp.types import CallToolResult
|
|
|
|
from astrbot.core.agent.hooks import BaseAgentRunHooks
|
|
from astrbot.core.agent.message import Message
|
|
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_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,
|
|
)
|
|
|
|
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,
|
|
)
|
|
|
|
# special handle web_search_tavily
|
|
platform_name = run_context.context.event.get_platform_name()
|
|
if (
|
|
platform_name == "webchat"
|
|
and tool.name in ["web_search_tavily", "web_search_bocha"]
|
|
and len(run_context.messages) > 0
|
|
and tool_result
|
|
and len(tool_result.content)
|
|
):
|
|
# inject system prompt
|
|
first_part = run_context.messages[0]
|
|
if (
|
|
isinstance(first_part, Message)
|
|
and first_part.role == "system"
|
|
and first_part.content
|
|
and isinstance(first_part.content, str)
|
|
):
|
|
# we assume system part is str
|
|
first_part.content += (
|
|
"Always cite web search results you rely on. "
|
|
"Index is a unique identifier for each search result. "
|
|
"Use the exact citation format <ref>index</ref> (e.g. <ref>abcd.3</ref>) "
|
|
"after the sentence that uses the information. Do not invent citations."
|
|
)
|
|
|
|
|
|
class EmptyAgentHooks(BaseAgentRunHooks[AstrAgentContext]):
|
|
pass
|
|
|
|
|
|
MAIN_AGENT_HOOKS = MainAgentHooks()
|