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根据开发组建议重命名，移除多余的Prompt后缀

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This commit is contained in:
UnCLAS-Prommer
2026-02-02 21:10:39 +08:00
parent b793a3d62b
commit 74b852dd8b
38 changed files with 27 additions and 27 deletions
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2
src/chat/brain_chat/brain_chat.py
View File

@@ -313,7 +313,7 @@ class BrainChatting:
current_available_actions=available_actions,
chat_content_block=chat_content_block,
message_id_list=message_id_list,
prompt_key="brain_planner_prompt_react",
prompt_key="brain_planner",
)
continue_flag, modified_message = await events_manager.handle_mai_events(
EventType.ON_PLAN, None, prompt_info[0], None, self.chat_stream.stream_id

6
src/chat/brain_chat/brain_planner.py
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@@ -200,7 +200,7 @@ class BrainPlanner:
prompt_build_start = time.perf_counter()
# 构建包含所有动作的提示词：使用统一的 ReAct Prompt
prompt_key = "brain_planner_prompt_react"
prompt_key = "brain_planner"
# 这里不记录日志，避免重复打印，由调用方按需控制 log_prompt
prompt, message_id_list = await self.build_planner_prompt(
chat_target_info=chat_target_info,
@@ -254,7 +254,7 @@ class BrainPlanner:
message_id_list: List[Tuple[str, "DatabaseMessages"]],
chat_content_block: str = "",
interest: str = "",
prompt_key: str = "brain_planner_prompt_react",
prompt_key: str = "brain_planner",
) -> tuple[str, List[Tuple[str, "DatabaseMessages"]]]:
"""构建 Planner LLM 的提示词 (获取模板并填充数据)"""
try:
@@ -381,7 +381,7 @@ class BrainPlanner:
require_text = require_text.rstrip("\n")
# 获取动作提示模板并填充
using_action_prompt_template = prompt_manager.get_prompt("brain_action_prompt")
using_action_prompt_template = prompt_manager.get_prompt("brain_action")
using_action_prompt_template.add_context("action_name", action_name)
using_action_prompt_template.add_context("action_description", action_info.description)
using_action_prompt_template.add_context("action_parameters", param_text)

4
src/chat/planner_actions/planner.py
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@@ -600,7 +600,7 @@ class ActionPlanner:
reply_action_example += ', "quote":"如果需要引用该message，设置为true"'
reply_action_example += "}"
planner_prompt_template = prompt_manager.get_prompt("planner_prompt")
planner_prompt_template = prompt_manager.get_prompt("planner")
planner_prompt_template.add_context("time_block", time_block)
planner_prompt_template.add_context("chat_context_description", chat_context_description)
planner_prompt_template.add_context("chat_content_block", chat_content_block)
@@ -695,7 +695,7 @@ class ActionPlanner:
parallel_text = ""
# 获取动作提示模板并填充
using_action_prompt = prompt_manager.get_prompt("action_prompt")
using_action_prompt = prompt_manager.get_prompt("action")
using_action_prompt.add_context("action_name", action_name)
using_action_prompt.add_context("action_description", action_info.description)
using_action_prompt.add_context("action_parameters", param_text)

8
src/chat/replyer/group_generator.py
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@@ -960,9 +960,9 @@ class DefaultReplyer:
# think_level=0: 轻量回复（简短平淡）
# think_level=1: 中等回复（日常口语化）
if think_level == 0:
prompt_name = "replyer_prompt_0"
prompt_name = "replyer_light"
else: # think_level == 1 或默认
prompt_name = "replyer_prompt"
prompt_name = "replyer"
# 根据配置构建最终的 reply_style：支持 multiple_reply_style 按概率随机替换
reply_style = global_config.personality.reply_style
@@ -1082,7 +1082,7 @@ class DefaultReplyer:
except Exception:
reply_style = global_config.personality.reply_style
prompt_template = prompt_manager.get_prompt("default_expressor_prompt")
prompt_template = prompt_manager.get_prompt("default_expressor")
prompt_template.add_context("expression_habits_block", expression_habits_block)
# prompt_template.add_context("relation_info_block", relation_info)
prompt_template.add_context("chat_target", chat_target_1)
@@ -1169,7 +1169,7 @@ class DefaultReplyer:
if global_config.lpmm_knowledge.lpmm_mode == "agent":
return ""
template_prompt = prompt_manager.get_prompt("lpmm_get_knowledge_prompt")
template_prompt = prompt_manager.get_prompt("lpmm_get_knowledge")
template_prompt.add_context("bot_name", global_config.bot.nickname)
template_prompt.add_context("time_now", lambda _: time.strftime("%Y-%m-%d %H:%M:%S", time.localtime()))
template_prompt.add_context("chat_history", message)

8
src/chat/replyer/private_generator.py
View File

@@ -809,11 +809,11 @@ class PrivateReplyer:
# 使用统一的 is_bot_self 函数判断是否是机器人自己（支持多平台，包括 WebUI）
if is_bot_self(platform, user_id):
prompt_template = prompt_manager.get_prompt("private_replyer_self_prompt")
prompt_template = prompt_manager.get_prompt("private_replyer_self")
prompt_template.add_context("target", target)
prompt_template.add_context("reason", reply_reason)
else:
prompt_template = prompt_manager.get_prompt("private_replyer_prompt")
prompt_template = prompt_manager.get_prompt("private_replyer")
prompt_template.add_context("reply_target_block", reply_target_block)
prompt_template.add_context("planner_reasoning", planner_reasoning)
prompt_template.add_context("expression_habits_block", expression_habits_block)
@@ -923,7 +923,7 @@ class PrivateReplyer:
# 兜底：即使 multiple_reply_style 配置异常也不影响正常回复
reply_style = global_config.personality.reply_style
prompt_template = prompt_manager.get_prompt("default_expressor_prompt")
prompt_template = prompt_manager.get_prompt("default_expressor")
prompt_template.add_context("expression_habits_block", expression_habits_block)
# prompt_template.add_context("relation_info_block", relation_info)
prompt_template.add_context("chat_target", chat_target_1)
@@ -1010,7 +1010,7 @@ class PrivateReplyer:
if global_config.lpmm_knowledge.lpmm_mode == "agent":
return ""
prompt_template = prompt_manager.get_prompt("lpmm_get_knowledge_prompt")
prompt_template = prompt_manager.get_prompt("lpmm_get_knowledge")
prompt_template.add_context("bot_name", global_config.bot.nickname)
prompt_template.add_context("time_now", time.strftime("%Y-%m-%d %H:%M:%S", time.localtime()))
prompt_template.add_context("chat_history", message)