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import logging |
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from abc import ABC |
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from api.db import LLMType |
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from api.db.services.llm_service import LLMBundle |
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from agent.component import GenerateParam, Generate |
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class RewriteQuestionParam(GenerateParam): |
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""" |
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Define the QuestionRewrite component parameters. |
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""" |
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def __init__(self): |
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super().__init__() |
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self.temperature = 0.9 |
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self.prompt = "" |
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def check(self): |
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super().check() |
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def get_prompt(self, conv): |
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self.prompt = """ |
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You are an expert at query expansion to generate a paraphrasing of a question. |
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I can't retrieval relevant information from the knowledge base by using user's question directly. |
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You need to expand or paraphrase user's question by multiple ways such as using synonyms words/phrase, |
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writing the abbreviation in its entirety, adding some extra descriptions or explanations, |
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changing the way of expression, translating the original question into another language (English/Chinese), etc. |
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And return 5 versions of question and one is from translation. |
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Just list the question. No other words are needed. |
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""" |
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return f""" |
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Role: A helpful assistant |
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Task: Generate a full user question that would follow the conversation. |
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Requirements & Restrictions: |
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- Text generated MUST be in the same language of the original user's question. |
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- If the user's latest question is completely, don't do anything, just return the original question. |
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- DON'T generate anything except a refined question. |
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###################### |
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-Examples- |
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###################### |
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# Example 1 |
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## Conversation |
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USER: What is the name of Donald Trump's father? |
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ASSISTANT: Fred Trump. |
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USER: And his mother? |
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############### |
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Output: What's the name of Donald Trump's mother? |
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------------ |
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# Example 2 |
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## Conversation |
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USER: What is the name of Donald Trump's father? |
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ASSISTANT: Fred Trump. |
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USER: And his mother? |
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ASSISTANT: Mary Trump. |
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User: What's her full name? |
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############### |
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Output: What's the full name of Donald Trump's mother Mary Trump? |
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###################### |
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# Real Data |
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## Conversation |
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{conv} |
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############### |
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""" |
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return self.prompt |
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class RewriteQuestion(Generate, ABC): |
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component_name = "RewriteQuestion" |
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def _run(self, history, **kwargs): |
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hist = self._canvas.get_history(self._param.message_history_window_size) |
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conv = [] |
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for m in hist: |
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if m["role"] not in ["user", "assistant"]: |
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continue |
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conv.append("{}: {}".format(m["role"].upper(), m["content"])) |
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conv = "\n".join(conv) |
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chat_mdl = LLMBundle(self._canvas.get_tenant_id(), LLMType.CHAT, self._param.llm_id) |
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ans = chat_mdl.chat(self._param.get_prompt(conv), [{"role": "user", "content": "Output: "}], |
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self._param.gen_conf()) |
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self._canvas.history.pop() |
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self._canvas.history.append(("user", ans)) |
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logging.debug(ans) |
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return RewriteQuestion.be_output(ans) |
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