From b187c8a21b57177b4fd9e631b936402b51f70419 Mon Sep 17 00:00:00 2001 From: SengokuCola <1026294844@qq.com> Date: Wed, 19 Mar 2025 14:44:46 +0800 Subject: [PATCH] =?UTF-8?q?better=20=E7=A8=8D=E5=BE=AE=E4=BC=98=E5=8C=96?= =?UTF-8?q?=E4=BA=86=E4=B8=80=E4=B8=8B=E8=AE=B0=E5=BF=86prompt?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- src/plugins/chat/prompt_builder.py | 17 +++++++++-------- src/plugins/personality/renqingziji.py | 0 2 files changed, 9 insertions(+), 8 deletions(-) create mode 100644 src/plugins/personality/renqingziji.py diff --git a/src/plugins/chat/prompt_builder.py b/src/plugins/chat/prompt_builder.py index f1673b40f..892559f52 100644 --- a/src/plugins/chat/prompt_builder.py +++ b/src/plugins/chat/prompt_builder.py @@ -85,13 +85,13 @@ class PromptBuilder: # 调用 hippocampus 的 get_relevant_memories 方法 relevant_memories = await hippocampus.get_relevant_memories( - text=message_txt, max_topics=5, similarity_threshold=0.4, max_memory_num=5 + text=message_txt, max_topics=3, similarity_threshold=0.5, max_memory_num=4 ) if relevant_memories: # 格式化记忆内容 - memory_str = '\n'.join(f"关于「{m['topic']}」的记忆:{m['content']}" for m in relevant_memories) - memory_prompt = f"看到这些聊天,你想起来:\n{memory_str}\n" + memory_str = '\n'.join(m['content'] for m in relevant_memories) + memory_prompt = f"你回忆起:\n{memory_str}\n" # 打印调试信息 logger.debug("[记忆检索]找到以下相关记忆:") @@ -155,13 +155,14 @@ class PromptBuilder: prompt = f""" 今天是{current_date},现在是{current_time},你今天的日程是:\ -`` -{bot_schedule.today_schedule} -``\ -{prompt_info} +``\n +{bot_schedule.today_schedule}\n +``\n +{prompt_info}\n +{memory_prompt}\n {chat_target}\n {chat_talking_prompt}\n -{memory_prompt} 现在"{sender_name}"说的:\n +现在"{sender_name}"说的:\n ``\n {message_txt}\n ``\n diff --git a/src/plugins/personality/renqingziji.py b/src/plugins/personality/renqingziji.py new file mode 100644 index 000000000..e69de29bb