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22288a342d
1. SummarizeCode动作：用于基于代码进行总结，思考bug、逻辑、todo
2. CodeReview动作优化：目前强制要求回答问题，有更高的成功率了
1. 增加了LGTM/LBTM的回答，在LGTM时会及时停止，不重写代码
2. 目前增加了设置中的参数code_review_k_times，与reflexion类似，设置为2
3. 仍然有概率发生指令不遵循，尤其是会有比较高的概率发生同时review多个代码文件，还没想好怎么解决 #FIXME
3. 增加了env到Action结构中，现在可以直接调用环境接口了
4. WriteDesign：去除了对project_name的纠正代码，现在引导下可以一次生成对
1. 修改了提示词中的##格式，改为了JSON格式
2. 数据结构
1. Document的标准化：Env->Repo->Document，其中Document/Asset/Code都是Document
1. 原用于检索的Document改为IndexableDocument
2. Repo结构引入：用于Document装载与元数据装载
3. RepoParser引入：写了一个简单的AST parser（后续可能要换tree-sitter），给出了整库symbol
4. Env中增加了set/get/set_doc/get_doc接口，用于set/get单个变量或者一个Document。这个逻辑后续或许会进一步简化
3. 配置优化
1. 默认更换为gpt-4-1106-preview，以获得最好的效果与成本
2. 提供~/.metagpt作为配置最高优先级目录，从中读取config.yaml
3. workspace可以灵活指定了，在config中配置
4. project_name可以由命令行指定，并且改为由ProductManager生成
4. metagpt作为默认命令行，而非python startup.py
metagpt --help
metagpt --project-name game_2048 "make a 2048 game"
metagpt "make a 2048 game"
metagpt --project-name game_2048 --inc "将2048改为4096"
metagpt --project-name game_2048 --auto-inc "make a 2048 game"
1. 使用新的METAGPT_ROOT生成方式，而非寻找git，以便cli安装
2. 命令行由fire换为了typer，它会带来相对更好的体验
3. project_name可以灵活指定了，在metagpt命令行输入中配置
5. 其他
1. 现在支持多国语言了，中文已测试
2. BossRequirement -> UserRequirement
3. 大量错误文本的修正，增加了可读性
4. 中量提示词优化，稍微提升了一些准确率
5. 暂时屏蔽了LongtermMemory相关逻辑，这个逻辑底层调用了langchain的FAISS，会带来~5秒加载耗时
6. 修复了安装包中的部分描述错误
7. 去除了config中在openai_proxy设定时对base的重复修改，这个修改应该在openai初始化时发生
8. 修复了JSON在中文存储时的特定问题，ensure_ascii=False
68 lines
No EOL
2.3 KiB
Python
68 lines
No EOL
2.3 KiB
Python
#!/usr/bin/env python
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# -*- coding: utf-8 -*-
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"""
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@Time : 2023/5/12 00:30
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@Author : alexanderwu
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@File : software_company.py
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"""
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from pydantic import BaseModel, Field
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from metagpt.actions import UserRequirement
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from metagpt.config import CONFIG
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from metagpt.environment import Environment
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from metagpt.logs import logger
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from metagpt.roles import Role
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from metagpt.schema import Message
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from metagpt.utils.common import NoMoneyException
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class Team(BaseModel):
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"""
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Team: Possesses one or more roles (agents), SOP (Standard Operating Procedures), and a platform for instant messaging,
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dedicated to perform any multi-agent activity, such as collaboratively writing executable code.
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"""
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env: Environment = Field(default_factory=Environment)
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investment: float = Field(default=10.0)
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idea: str = Field(default="")
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class Config:
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arbitrary_types_allowed = True
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def hire(self, roles: list[Role]):
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"""Hire roles to cooperate"""
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self.env.add_roles(roles)
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def invest(self, investment: float):
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"""Invest company. raise NoMoneyException when exceed max_budget."""
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self.investment = investment
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CONFIG.max_budget = investment
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logger.info(f'Investment: ${investment}.')
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def _check_balance(self):
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if CONFIG.total_cost > CONFIG.max_budget:
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raise NoMoneyException(CONFIG.total_cost, f'Insufficient funds: {CONFIG.max_budget}')
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def run_project(self, idea, send_to: str = "", project_name: str = "", inc: bool = False):
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"""Start a project from publishing user requirement."""
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self.idea = idea
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# If user set project_name, then use it.
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if project_name:
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path = CONFIG.workspace_path / project_name
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self.env.load_existing_repo(path, inc=inc)
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# Human requirement.
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self.env.publish_message(Message(role="Human", content=idea, cause_by=UserRequirement, send_to=send_to))
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def _save(self):
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logger.info(self.json(ensure_ascii=False))
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async def run(self, n_round=3):
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"""Run company until target round or no money"""
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while n_round > 0:
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# self._save()
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n_round -= 1
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logger.debug(f"{n_round=}")
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self._check_balance()
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await self.env.run()
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return self.env.history
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