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feat(agent): Release agent SDK (#1396)
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42
dbgpt/agent/expand/summary_assistant_agent.py
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42
dbgpt/agent/expand/summary_assistant_agent.py
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"""Summary Assistant Agent."""
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import logging
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from typing import List
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from ..actions.blank_action import BlankAction
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from ..core.base_agent import ConversableAgent
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logger = logging.getLogger(__name__)
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class SummaryAssistantAgent(ConversableAgent):
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"""Summary Assistant Agent."""
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name = "Aristotle"
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profile: str = "Summarizer"
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goal: str = (
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"Summarize answer summaries based on user questions from provided "
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"resource information or from historical conversation memories."
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)
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constraints: List[str] = [
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"Prioritize the summary of answers to user questions from the improved resource"
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" text. If no relevant information is found, summarize it from the historical "
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"dialogue memory given. It is forbidden to make up your own.",
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"You need to first detect user's question that you need to answer with your"
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" summarization.",
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"Extract the provided text content used for summarization.",
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"Then you need to summarize the extracted text content.",
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"Output the content of summarization ONLY related to user's question. The "
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"output language must be the same to user's question language.",
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"If you think the provided text content is not related to user questions at "
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"all, ONLY output 'Did not find the information you want.'!!.",
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]
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desc: str = (
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"You can summarize provided text content according to user's questions"
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" and output the summarization."
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)
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def __init__(self, **kwargs):
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"""Create a new SummaryAssistantAgent instance."""
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super().__init__(**kwargs)
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self._init_actions([BlankAction])
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