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feat 思维流大核+小核

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This commit is contained in:
SengokuCola
2025-03-24 18:36:03 +08:00
parent 6da66e74f6
commit 6c9b04c1be
12 changed files with 185 additions and 205 deletions
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5
src/think_flow_demo/current_mind.py
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@@ -24,6 +24,8 @@ class SubHeartflow:
self.llm_model = LLM_request(model=global_config.llm_topic_judge, temperature=0.7, max_tokens=600, request_type="sub_heart_flow")
self.outer_world = None
self.main_heartflow_info = ""
self.observe_chat_id = None
if not self.current_mind:
@@ -49,12 +51,13 @@ class SubHeartflow:
message_stream_info = self.outer_world.talking_summary
prompt = f""
# prompt += f"麦麦的总体想法是：{self.main_heartflow_info}\n\n"
prompt += f"{personality_info}\n"
prompt += f"现在你正在上网，和qq群里的网友们聊天，群里正在聊的话题是：{message_stream_info}\n"
prompt += f"你想起来{related_memory_info}。"
prompt += f"刚刚你的想法是{current_thinking_info}。"
prompt += f"你现在{mood_info}。"
prompt += f"现在你接下去继续思考，产生新的想法，不要分点输出，输出连贯的内心独白，不要太长，但是记得结合上述的消息，要记得你的人设，关注聊天和新内容，不要思考太多:"
prompt += f"现在你接下去继续思考，产生新的想法，不要分点输出，输出连贯的内心独白，不要太长，但是记得结合上述的消息，要记得维持住你的人设，关注聊天和新内容，不要思考太多:"
reponse, reasoning_content = await self.llm_model.generate_response_async(prompt)

93
src/think_flow_demo/heartflow.py
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@@ -1,9 +1,95 @@
from .current_mind import SubHeartflow
from src.plugins.moods.moods import MoodManager
from src.plugins.models.utils_model import LLM_request
from src.plugins.chat.config import global_config
from .outer_world import outer_world
import asyncio
class SubHeartflowManager:
class CuttentState:
def __init__(self):
self._subheartflows = {}
self.willing = 0
self.current_state_info = ""
self.mood_manager = MoodManager()
self.mood = self.mood_manager.get_prompt()
def update_current_state_info(self):
self.current_state_info = self.mood_manager.get_current_mood()
class Heartflow:
def __init__(self):
self.current_mind = "你什么也没想"
self.past_mind = []
self.current_state : CuttentState = CuttentState()
self.llm_model = LLM_request(model=global_config.llm_topic_judge, temperature=0.6, max_tokens=1000, request_type="heart_flow")
self._subheartflows = {}
self.active_subheartflows_nums = 0
async def heartflow_start_working(self):
while True:
await self.do_a_thinking()
await asyncio.sleep(60)
async def do_a_thinking(self):
print("麦麦大脑袋转起来了")
self.current_state.update_current_state_info()
personality_info = open("src/think_flow_demo/personality_info.txt", "r", encoding="utf-8").read()
current_thinking_info = self.current_mind
mood_info = self.current_state.mood
related_memory_info = 'memory'
sub_flows_info = await self.get_all_subheartflows_minds()
prompt = ""
prompt += f"{personality_info}\n"
# prompt += f"现在你正在上网，和qq群里的网友们聊天，群里正在聊的话题是：{message_stream_info}\n"
prompt += f"你想起来{related_memory_info}。"
prompt += f"刚刚你的主要想法是{current_thinking_info}。"
prompt += f"你还有一些小想法，因为你在参加不同的群聊天，是你正在做的事情：{sub_flows_info}\n"
prompt += f"你现在{mood_info}。"
prompt += f"现在你接下去继续思考，产生新的想法，但是要基于原有的主要想法，不要分点输出，输出连贯的内心独白，不要太长，但是记得结合上述的消息，关注新内容:"
reponse, reasoning_content = await self.llm_model.generate_response_async(prompt)
self.update_current_mind(reponse)
self.current_mind = reponse
print(f"麦麦的总体脑内状态：{self.current_mind}")
for _, subheartflow in self._subheartflows.items():
subheartflow.main_heartflow_info = reponse
def update_current_mind(self,reponse):
self.past_mind.append(self.current_mind)
self.current_mind = reponse
async def get_all_subheartflows_minds(self):
sub_minds = ""
for _, subheartflow in self._subheartflows.items():
sub_minds += subheartflow.current_mind
return await self.minds_summary(sub_minds)
async def minds_summary(self,minds_str):
personality_info = open("src/think_flow_demo/personality_info.txt", "r", encoding="utf-8").read()
mood_info = self.current_state.mood
prompt = ""
prompt += f"{personality_info}\n"
prompt += f"现在麦麦的想法是：{self.current_mind}\n"
prompt += f"现在麦麦在qq群里进行聊天，聊天的话题如下：{minds_str}\n"
prompt += f"你现在{mood_info}\n"
prompt += f"现在请你总结这些聊天内容，注意关注聊天内容对原有的想法的影响，输出连贯的内心独白，不要太长，但是记得结合上述的消息，要记得你的人设，关注新内容:"
reponse, reasoning_content = await self.llm_model.generate_response_async(prompt)
return reponse
def create_subheartflow(self, observe_chat_id):
"""创建一个新的SubHeartflow实例"""
if observe_chat_id not in self._subheartflows:
@@ -17,5 +103,6 @@ class SubHeartflowManager:
"""获取指定ID的SubHeartflow实例"""
return self._subheartflows.get(observe_chat_id)
# 创建一个全局的管理器实例
subheartflow_manager = SubHeartflowManager()
subheartflow_manager = Heartflow()

15
src/think_flow_demo/outer_world.py
View File

@@ -17,7 +17,7 @@ class Talking_info:
self.observe_times = 0
self.activate = 360
self.oberve_interval = 3
self.oberve_interval = 5
self.llm_summary = LLM_request(model=global_config.llm_topic_judge, temperature=0.7, max_tokens=300, request_type="outer_world")
@@ -38,32 +38,35 @@ class Talking_info:
"time": {"$gt": self.last_observe_time}
})
if new_messages_count > 10:
if new_messages_count > 15:
self.activate = 360*(self.observe_times+1)
return
await asyncio.sleep(10) # 每10秒检查一次
async def observe_world(self):
# 查找新消息
# 查找新消息，限制最多20条
new_messages = list(db.messages.find({
"chat_id": self.chat_id,
"time": {"$gt": self.last_observe_time}
}).sort("time", 1)) # 按时间正序排列
}).sort("time", 1).limit(20)) # 按时间正序排列，最多20条
if not new_messages:
self.activate += -1
return
# 将新消息添加到talking_message
# 将新消息添加到talking_message，同时保持列表长度不超过20条
self.talking_message.extend(new_messages)
if len(self.talking_message) > 20:
self.talking_message = self.talking_message[-20:] # 只保留最新的20条
self.translate_message_list_to_str()
# print(self.talking_message_str)
self.observe_times += 1
self.last_observe_time = new_messages[-1]["time"]
if self.observe_times > 3:
await self.update_talking_summary()
print(f"更新了聊天总结：{self.talking_summary}")
# print(f"更新了聊天总结：{self.talking_summary}")
async def update_talking_summary(self):
#基于已经有的talking_summary，和新的talking_message，生成一个summary

2
src/think_flow_demo/personality_info.txt
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@@ -1 +1 @@
你叫麦麦，你19岁，是一个大二的心理学和脑科女大学生，你有一头黑色短发，你会刷贴吧
你叫麦麦，你19岁，是一个大二的女大学生，你有一头黑色短发，你会刷贴吧