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1. 动作优化
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
2. 数据结构
1. Document的标准化:Env->Repo->Document,其中Document/Asset/Code都只用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
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. metagpt作为默认命令行,而非python startup.py
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. BossRequirement -> UserRequirement
2. 大量错误文本的修正,增加了可读性
3. 中量提示词优化,稍微提升了一些准确率
4. 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
5. 修复了安装包中的部分描述错误
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50 changed files with 699 additions and 387 deletions
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@ -10,20 +10,22 @@ from typing import Iterable
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from pydantic import BaseModel, Field
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# from metagpt.document import Document
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from metagpt.document import Repo
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from metagpt.memory import Memory
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from metagpt.roles import Role
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from metagpt.schema import Message
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class Environment(BaseModel):
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"""环境,承载一批角色,角色可以向环境发布消息,可以被其他角色观察到
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Environment, hosting a batch of roles, roles can publish messages to the environment, and can be observed by other roles
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"""
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Environment, hosting a batch of roles, roles can publish messages to the environment, and can be observed by other roles
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"""
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roles: dict[str, Role] = Field(default_factory=dict)
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memory: Memory = Field(default_factory=Memory)
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history: str = Field(default='')
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repo: Repo = Field(default_factory=Repo)
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class Config:
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arbitrary_types_allowed = True
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@ -50,6 +52,10 @@ class Environment(BaseModel):
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self.memory.add(message)
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self.history += f"\n{message}"
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def publish_doc(self, content: str, filename: str):
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"""向当前环境发布文档(包括代码)"""
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self.repo.set(content, filename)
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async def run(self, k=1):
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"""处理一次所有信息的运行
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Process all Role runs at once
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