feat 尝试将回复意愿加入思维流

This commit is contained in:
SengokuCola
2025-03-24 23:22:03 +08:00
parent 6c9b04c1be
commit 5dea0c3a16
5 changed files with 44 additions and 11 deletions

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@@ -145,7 +145,10 @@ class ChatBot:
interested_rate=interested_rate, interested_rate=interested_rate,
sender_id=str(message.message_info.user_info.user_id), sender_id=str(message.message_info.user_info.user_id),
) )
current_willing = willing_manager.get_willing(chat_stream=chat) current_willing_old = willing_manager.get_willing(chat_stream=chat)
current_willing_new = (subheartflow_manager.get_subheartflow(chat.stream_id).current_state.willing-5)/4
print(f"旧回复意愿:{current_willing_old},新回复意愿:{current_willing_new}")
current_willing = (current_willing_old + current_willing_new) / 2
logger.info( logger.info(
f"[{current_time}][{chat.group_info.group_name if chat.group_info else '私聊'}]" f"[{current_time}][{chat.group_info.group_name if chat.group_info else '私聊'}]"

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@@ -59,6 +59,7 @@ class BotConfig:
llm_topic_judge: Dict[str, str] = field(default_factory=lambda: {}) llm_topic_judge: Dict[str, str] = field(default_factory=lambda: {})
llm_summary_by_topic: Dict[str, str] = field(default_factory=lambda: {}) llm_summary_by_topic: Dict[str, str] = field(default_factory=lambda: {})
llm_emotion_judge: Dict[str, str] = field(default_factory=lambda: {}) llm_emotion_judge: Dict[str, str] = field(default_factory=lambda: {})
llm_outer_world: Dict[str, str] = field(default_factory=lambda: {})
embedding: Dict[str, str] = field(default_factory=lambda: {}) embedding: Dict[str, str] = field(default_factory=lambda: {})
vlm: Dict[str, str] = field(default_factory=lambda: {}) vlm: Dict[str, str] = field(default_factory=lambda: {})
moderation: Dict[str, str] = field(default_factory=lambda: {}) moderation: Dict[str, str] = field(default_factory=lambda: {})
@@ -237,6 +238,7 @@ class BotConfig:
"llm_topic_judge", "llm_topic_judge",
"llm_summary_by_topic", "llm_summary_by_topic",
"llm_emotion_judge", "llm_emotion_judge",
"llm_outer_world",
"vlm", "vlm",
"embedding", "embedding",
"moderation", "moderation",

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@@ -3,7 +3,7 @@ import asyncio
from src.plugins.moods.moods import MoodManager from src.plugins.moods.moods import MoodManager
from src.plugins.models.utils_model import LLM_request from src.plugins.models.utils_model import LLM_request
from src.plugins.chat.config import global_config from src.plugins.chat.config import global_config
import re
class CuttentState: class CuttentState:
def __init__(self): def __init__(self):
self.willing = 0 self.willing = 0
@@ -38,7 +38,9 @@ class SubHeartflow:
async def subheartflow_start_working(self): async def subheartflow_start_working(self):
while True: while True:
await self.do_a_thinking() await self.do_a_thinking()
await asyncio.sleep(30) print("麦麦闹情绪了")
await self.judge_willing()
await asyncio.sleep(20)
async def do_a_thinking(self): async def do_a_thinking(self):
print("麦麦小脑袋转起来了") print("麦麦小脑袋转起来了")
@@ -67,7 +69,7 @@ class SubHeartflow:
print(f"麦麦的脑内状态:{self.current_mind}") print(f"麦麦的脑内状态:{self.current_mind}")
async def do_after_reply(self,reply_content,chat_talking_prompt): async def do_after_reply(self,reply_content,chat_talking_prompt):
print("麦麦脑袋转起来了") # print("麦麦脑袋转起来了")
self.current_state.update_current_state_info() self.current_state.update_current_state_info()
personality_info = open("src/think_flow_demo/personality_info.txt", "r", encoding="utf-8").read() personality_info = open("src/think_flow_demo/personality_info.txt", "r", encoding="utf-8").read()
@@ -93,8 +95,33 @@ class SubHeartflow:
self.update_current_mind(reponse) self.update_current_mind(reponse)
self.current_mind = reponse self.current_mind = reponse
print(f"麦麦的脑内状态:{self.current_mind}") print(f"{self.observe_chat_id}麦麦的脑内状态:{self.current_mind}")
async def judge_willing(self):
# print("麦麦闹情绪了1")
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
# print("麦麦闹情绪了2")
prompt = f""
prompt += f"{personality_info}\n"
prompt += f"现在你正在上网和qq群里的网友们聊天"
prompt += f"你现在的想法是{current_thinking_info}"
prompt += f"你现在{mood_info}"
prompt += f"现在请你思考你想不想发言或者回复请你输出一个数字1-101表示非常不想10表示非常想。"
prompt += f"请你用<>包裹你的回复意愿,例如输出<1>表示不想回复,输出<10>表示非常想回复。<5>表示想回复,但是需要思考一下。"
response, reasoning_content = await self.llm_model.generate_response_async(prompt)
# 解析willing值
willing_match = re.search(r'<(\d+)>', response)
if willing_match:
self.current_state.willing = int(willing_match.group(1))
else:
self.current_state.willing = 0
print(f"{self.observe_chat_id}麦麦的回复意愿:{self.current_state.willing}")
return self.current_state.willing
def build_outer_world_info(self): def build_outer_world_info(self):
outer_world_info = outer_world.outer_world_info outer_world_info = outer_world.outer_world_info

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@@ -95,7 +95,8 @@ class Heartflow:
if observe_chat_id not in self._subheartflows: if observe_chat_id not in self._subheartflows:
subheartflow = SubHeartflow() subheartflow = SubHeartflow()
subheartflow.assign_observe(observe_chat_id) subheartflow.assign_observe(observe_chat_id)
subheartflow.subheartflow_start_working() # 创建异步任务
asyncio.create_task(subheartflow.subheartflow_start_working())
self._subheartflows[observe_chat_id] = subheartflow self._subheartflows[observe_chat_id] = subheartflow
return self._subheartflows[observe_chat_id] return self._subheartflows[observe_chat_id]

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@@ -17,9 +17,9 @@ class Talking_info:
self.observe_times = 0 self.observe_times = 0
self.activate = 360 self.activate = 360
self.oberve_interval = 5 self.oberve_interval = 3
self.llm_summary = LLM_request(model=global_config.llm_topic_judge, temperature=0.7, max_tokens=300, request_type="outer_world") self.llm_summary = LLM_request(model=global_config.llm_outer_world, temperature=0.7, max_tokens=300, request_type="outer_world")
async def start_observe(self): async def start_observe(self):
while True: while True:
@@ -42,7 +42,7 @@ class Talking_info:
self.activate = 360*(self.observe_times+1) self.activate = 360*(self.observe_times+1)
return return
await asyncio.sleep(10) # 每10秒检查一次 await asyncio.sleep(8) # 每10秒检查一次
async def observe_world(self): async def observe_world(self):
# 查找新消息限制最多20条 # 查找新消息限制最多20条