LLMBB-Agent / qwen_agent /actions /retrieval_qa.py
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from qwen_agent.actions.base import Action
PROMPT_TEMPLATE_ZH = """请充分理解以下参考资料内容,组织出满足用户提问的条理清晰的回复。
#参考资料:
{ref_doc}
请记住以上参考资料,明白了就请说“好的,我将依据参考资料回复之后的提问。”
"""
PROMPT_TEMPLATE_EN = """Please fully understand the content of the following reference materials and organize a clear response that meets the user's questions.
# Reference materials:
{ref_doc}
Please remember the above reference materials. If you understand, please say "Okay, I will reply to the questions based on the reference materials."
"""
PROMPT_TEMPLATE = {
'zh': PROMPT_TEMPLATE_ZH,
'en': PROMPT_TEMPLATE_EN,
}
ANSWER_PROMPT_TEMPLATE_ZH = '好的,我将依据参考资料回复之后的提问。'
ANSWER_PROMPT_TEMPLATE_EN = 'Okay, I will reply to the questions based on the reference materials.'
ANSWER_PROMPT_TEMPLATE = {
'zh': ANSWER_PROMPT_TEMPLATE_ZH,
'en': ANSWER_PROMPT_TEMPLATE_EN,
}
class RetrievalQA(Action):
def _run(self, user_request, ref_doc, lang: str = 'en'):
messages = [{
'role': 'user',
'content': PROMPT_TEMPLATE[lang].format(ref_doc=ref_doc),
}, {
'role': 'assistant',
'content': ANSWER_PROMPT_TEMPLATE[lang],
}, {
'role': 'user',
'content': user_request,
}]
return self._call_llm(messages=messages)