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add write_review action and its test
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4 changed files with 119 additions and 3 deletions
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@ -41,10 +41,10 @@ Fill in the above nodes based on the format example.
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"""
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def dict_to_markdown(d, prefix="-", postfix="\n"):
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def dict_to_markdown(d, prefix="##", kv_sep="\n", postfix="\n"):
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markdown_str = ""
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for key, value in d.items():
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markdown_str += f"{prefix} {key}: {value}{postfix}"
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markdown_str += f"{prefix}{key}{kv_sep}{value}{postfix}"
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return markdown_str
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40
metagpt/actions/write_review.py
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40
metagpt/actions/write_review.py
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@ -0,0 +1,40 @@
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#!/usr/bin/env python
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# -*- coding: utf-8 -*-
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"""
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@Author : alexanderwu
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@File : write_review.py
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"""
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from typing import List
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from metagpt.actions import Action
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from metagpt.actions.action_node import ActionNode
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# from metagpt.llm import LLM
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REVIEW = ActionNode(
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key="Review",
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expected_type=List[str],
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instruction="Act as an experienced Reviewer and review the given output. Ask a series of critical questions, "
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"concisely and clearly, to help the writer improve their work.",
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example=[
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"This is a good PRD, but I think it can be improved by adding more details.",
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],
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)
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LGTM = ActionNode(
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key="LGTM",
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expected_type=str,
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instruction="If the output is good enough, give a LGTM (Looks Good To Me) to the writer, "
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"else LBTM (Looks Bad To Me).",
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example="LGTM",
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)
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WRITE_REVIEW_NODE = ActionNode.from_children("WRITE_REVIEW_NODE", [REVIEW, LGTM])
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class WriteReview(Action):
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"""This class allows LLM to further mine noteworthy details based on specific "##TOPIC"(discussion topic) and
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"##RECORD" (discussion records), thereby deepening the discussion."""
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async def run(self, context):
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return await WRITE_REVIEW_NODE.fill(context=context, llm=self.llm, schema="markdown")
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