@@ -40,32 +40,6 @@ def init_prompt():
Prompt ( " 你正在和 {sender_name} 聊天，这是你们之前聊的内容： " , " chat_target_private1 " )
Prompt ( " 在群里聊天 " , " chat_target_group2 " )
Prompt ( " 和 {sender_name} 聊天 " , " chat_target_private2 " )
Prompt ( " \n 你有以下这些**知识**： \n {prompt_info} \n 请你**记住上面的知识**，之后可能会用到。 \n " , " knowledge_prompt " )
Prompt (
"""
{expression_habits_block}
{tool_info_block}
{knowledge_prompt}
{memory_block}
{relation_info_block}
{extra_info_block}
{chat_target}
{time_block}
{chat_info}
{reply_target_block}
{identity}
{action_descriptions}
你正在 {chat_target_2} ,你现在的心情是： {mood_state}
现在请你读读之前的聊天记录，并给出回复
{config_expression_style} 。注意不要复读你说过的话
{keywords_reaction_prompt}
{moderation_prompt}
不要浮夸，不要夸张修辞，不要输出多余内容(包括前后缀，冒号和引号，括号()， ， """ ,
" default_generator_prompt " ,
)
Prompt (
"""
@@ -114,7 +88,8 @@ def init_prompt():
{core_dialogue_prompt}
{reply_target_block}
对方最新发送的内容： {message_txt}
你现在的心情是： {mood_state}
{config_expression_style}
注意不要复读你说过的话
@@ -781,103 +756,63 @@ class DefaultReplyer:
# 根据sender通过person_info_manager反向查找person_id，
person_id = person_info_manager . get_person_id_by_person_name ( sender )
# 根据配置选择使用哪种 prompt 构建模式
if global_config . chat . use_s4u_prompt_mode and person_id :
# 使用 s4u 对话构建模式：分离当前对话对象和其他对话
try :
user_id_value = await person_info_manager . get_value ( person_id , " " )
if user_id_valu e :
target_user_id = str ( user_id_value )
except Exception as e :
logger . warning ( f " 无法从person_id { person_id } 获取user_id: { e } " )
target_user_id = " "
# 使用 s4u 对话构建模式：分离当前对话对象和其他对话
try :
user_id_value = await person_info_manager . get_value ( person_id , " user_id " )
if user_id_value :
target_user_id = str ( _value )
except Exception as :
logger . warning ( f " 无法从person_id { person_id } 获取user_id: { e } " )
target_user_id = " "
# 构建分离的对话 prompt
core_dialogue_prompt , background_dialogue_prompt = self . build_s4u_chat_history_prompts (
message_list_before_now_long , target_user_id
)
# 构建分离的对话 prompt
core_dialogue_prompt , background_dialogue_prompt = self . build_s4u_chat_history_prompts (
message_list_before_now_long , target_user_id
)
self . build_mai_think_context (
chat_id = chat_id ,
memory_block = memory_block ,
relation_info = relation_info ,
time_block = time_block ,
chat_target_1 = chat_target_1 ,
chat_target_2 = chat_target_2 ,
mood_prompt = mood_prompt ,
identity_block = identity_block ,
sender = sender ,
target = target ,
chat_info = f """
self . build_mai_think_context (
chat_id = chat_id ,
memory_block = memory_block ,
relation_info = relation_info ,
time_block = time_block ,
chat_target_1 = chat_target_1 ,
chat_target_2 = chat_target_2 ,
mood_prompt = mood_prompt ,
identity_block = identity_block ,
sender = sender ,
target = target ,
chat_info = f """
{ background_dialogue_prompt }
--------------------------------
{ time_block }
这是你和 { sender } 的对话，你们正在交流中：
{ core_dialogue_prompt } """ ,
)
)
# 使用 s4u 风格的模板
template_name = " s4u_style_prompt "
# 使用 s4u 风格的模板
template_name = " s4u_style_prompt "
return await global_prompt_manager . format_prompt (
template_name ,
expression_habits_block = expression_habits_block ,
tool_info_block = tool_info ,
knowledge_prompt = prompt_info ,
memory_block = memory_block ,
relation_info_block = relation_info ,
extra_info_block = extra_info_block ,
identity = identity_block ,
action_descriptions = action_descriptions ,
sender_name = sender ,
mood_state = mood_prompt ,
background_dialogue_prompt = background_dialogue_prompt ,
time_block = time_block ,
core_dialogue_prompt = core_dialogue_prompt ,
reply_target_block = reply_target_block ,
message_txt = target ,
config_expression_style = global_config . expression . expression_style ,
keywords_reaction_prompt = keywords_reaction_prompt ,
moderation_prompt = moderation_prompt_block ,
)
else :
self . build_mai_think_context (
chat_id = chat_id ,
memory_block = memory_block ,
relation_info = relation_info ,
time_block = time_block ,
chat_target_1 = chat_target_1 ,
chat_target_2 = chat_target_2 ,
mood_prompt = mood_prompt ,
identity_block = identity_block ,
sender = sender ,
target = target ,
chat_info = chat_talking_prompt ,
)
# 使用原有的模式
return await global_prompt_manager . format_prompt (
template_name ,
expression_habits_block = expression_habits_block ,
chat_target = chat_target_1 ,
chat_info = chat_talking_prompt ,
memory_block = memory_block ,
tool_info_block = tool_info ,
knowledge_prompt = prompt_info ,
extra_info_block = extra_info_block ,
relation_info_block = relation_info ,
time_block = time_block ,
reply_target_block = reply_target_block ,
moderation_prompt = moderation_prompt_block ,
keywords_reaction_prompt = keywords_reaction_prompt ,
identity = identity_block ,
target_message = target ,
sender_name = sender ,
config_expression_style = global_config . expression . expression_style ,
action_descriptions = action_descriptions ,
chat_target_2 = chat_target_2 ,
mood_state = mood_prompt ,
)
return await global_prompt_manager . format_prompt (
template_name ,
expression_habits_block = expression_habits_block ,
tool_info_block = tool_info ,
knowledge_prompt = prompt_info ,
memory_block = memory_block ,
relation_info_block = relation_info ,
extra_info_block = extra_info_block ,
identity = identity_block ,
action_descriptions = action_descriptions ,
sender_name = sender ,
mood_state = mood_prompt ,
background_dialogue_prompt = background_dialogue_prompt ,
time_block = time_block ,
core_dialogue_prompt = core_dialogue_prompt ,
reply_target_block = reply_target_block ,
message_txt = target ,
config_expression_style = global_config . expression . expression_style ,
keywords_reaction_prompt = keywords_reaction_prompt ,
moderation_prompt = moderation_prompt_block ,
)
async def build_prompt_rewrite_context (
self ,
@@ -1078,9 +1013,7 @@ async def get_prompt_info(message: str, threshold: float):
logger . debug ( f " 获取知识库内容，相关信息： { related_info [ : 100 ] } ...，信息长度: { len ( related_info ) } " )
# 格式化知识信息
formatted_prompt_info = await global_prompt_manager . format_prompt (
" knowledge_prompt " , prompt_info = related_info
)
formatted_prompt_info = f " 你有以下这些**知识**： \n { related_info } \n 请你**记住上面的知识**，之后可能会用到。 \n "
return formatted_prompt_info
else :
logger . debug ( " 从LPMM知识库获取知识失败， ， " )
SengokuCola