mirror of
https://github.com/AstrBotDevs/AstrBot
synced 2026-07-18 02:00:09 +08:00
66e2f49c11
* perf: support extended thinking for Anthropic, DeepSeek reasoning mode, and Gemini text part thought signatures to improve multi-turn reasoning performance. * chore: remove verbose * perf * refactor: remove special tools handling for deepseek-reasoner model in openai source * fix: improve error handling and logging in InternalAgentSubStage processing * refactor: remove unused reasoning content from Gemini source processing * refactor: enhance modality determination logic in useProviderSources Co-authored-by: kawayiYokami <289104862@qq.com>
43 lines
1.3 KiB
Python
43 lines
1.3 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_done(self, run_context, llm_response):
|
|
# 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_end(
|
|
self,
|
|
run_context: ContextWrapper[AstrAgentContext],
|
|
tool: FunctionTool[Any],
|
|
tool_args: dict | None,
|
|
tool_result: CallToolResult | None,
|
|
):
|
|
run_context.context.event.clear_result()
|
|
|
|
|
|
class EmptyAgentHooks(BaseAgentRunHooks[AstrAgentContext]):
|
|
pass
|
|
|
|
|
|
MAIN_AGENT_HOOKS = MainAgentHooks()
|