瀏覽代碼

fix: next suggest question logic problem (#6451)

Co-authored-by: evenyan <yikun.yan@ubtrobot.com>
tags/0.6.15
Even 1 年之前
父節點
當前提交
c013086e64
沒有連結到貢獻者的電子郵件帳戶。
共有 2 個檔案被更改,包括 2 行新增1 行删除
  1. 1
    0
      api/core/llm_generator/prompts.py
  2. 1
    1
      api/core/memory/token_buffer_memory.py

+ 1
- 0
api/core/llm_generator/prompts.py 查看文件

@@ -64,6 +64,7 @@ User Input:
SUGGESTED_QUESTIONS_AFTER_ANSWER_INSTRUCTION_PROMPT = (
"Please help me predict the three most likely questions that human would ask, "
"and keeping each question under 20 characters.\n"
"MAKE SURE your output is the SAME language as the Assistant's latest response(if the main response is written in Chinese, then the language of your output must be using Chinese.)!\n"
"The output must be an array in JSON format following the specified schema:\n"
"[\"question1\",\"question2\",\"question3\"]\n"
)

+ 1
- 1
api/core/memory/token_buffer_memory.py 查看文件

@@ -103,7 +103,7 @@ class TokenBufferMemory:

if curr_message_tokens > max_token_limit:
pruned_memory = []
while curr_message_tokens > max_token_limit and prompt_messages:
while curr_message_tokens > max_token_limit and len(prompt_messages)>1:
pruned_memory.append(prompt_messages.pop(0))
curr_message_tokens = self.model_instance.get_llm_num_tokens(
prompt_messages

Loading…
取消
儲存