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brew

使用 Homebrew, MacPorts 安装 ata

查看 ata 的安装路径、可执行文件、元数据以及面向 AI 代理工作流的安全说明。

安装

其他安装命令

macOS

Homebrew已验证 · 100%
brew install ata

local Homebrew formula metadata

MacPorts已验证 · 94%
sudo port install ata

MacPorts ports tree · llm/ata/Portfile · 来源: api.github.com

概览

软件包摘要

ChatGPT in the terminal

命令和别名

  • ata

历史

项目历史与用法

The Homebrew `ata` formula currently points at a small Rust command-line AI tool whose upstream README now brands the executable as `trf`: multimodal AI in the terminal. It is designed for shell pipelines rather than a stateful chat application.

项目历史

The repository began in January 2023, shortly after the first wave of ChatGPT terminal wrappers. Early releases used the `ata` name and focused on OpenAI-style chat from standard input; by the current README the project presents itself as `trf` and supports OpenAI, DeepInfra, Google, Hyperbolic, and other providers.

The 2.0.0 release added support for `gpt-3.5-turbo` and mentioned a default configuration directory, while the current README states the project philosophy as not handling state and doing settings through command-line arguments and environment variables.

采用历史

The supplied package metadata lists Homebrew and MacPorts packaging. Upstream release notes show community bug fixes, including input handling and old-config compatibility, but official public adoption history is otherwise thin.

使用方式

Typical usage pipes text into `trf chat` or `trf tts`, with provider keys supplied as environment variables such as `OPENAI_KEY` or `DEEPINFRA_KEY`. The README examples intentionally compose with ordinary shell tools, files, scripts, and media players such as VLC.

为什么软件包爱好者会关心

For package nerds, the interesting bit is the naming drift and Unix-tool posture: a package named `ata`, an upstream README titled `trf`, and a deliberate preference for stdin/stdout, environment variables, and tiny wrapper scripts over application-managed state.

时间线

  • 2023: Initial repository commits and first tagged release series.
  • 2023: v2.0.0 added gpt-3.5-turbo support.
  • 2024: v2.0.4 fixed crashes with old config files.

Related projects

  • Related tools include terminal AI wrappers, OpenAI/DeepInfra command-line clients, text-to-speech pipelines, and shell-scriptable LLM helpers.

安全态势

风险级别:绿色

narrow executable package without higher-risk signals.

风险分类器

绿色 风险 · 低 置信度 · appliance

原因

  • narrow executable package without higher-risk signals

信号

  • metadata:no-higher-risk-signals

安装行为

  • formula 元数据中未记录 Homebrew post-install 钩子。
  • Homebrew bottle 元数据适用于 10 个平台目标。
  • 构建元数据列出 1 个构建依赖。

建议审查

在无人值守的代理使用前,请检查该工具是否读取明文凭据、写入远程状态、发布制品或调用插件。

可执行文件

已安装的可执行文件

命令类型暴露范围备注
atacli全局可执行文件

新鲜度

版本和新鲜度

这些信号区分页生成时间、软件包管理器活动和上游发布比较。只有存在证据 URL 和可比较版本时,才会提示版本落后。

页面生成时间2026-07-08
管理器版本2.0.4
管理器更新时间
本地数据OK
上游当前
检测到的最新版本v2.0.4

https://github.com/transformrs/ata

  • 信息No package-manager update timestamp was available.低 置信度

安装元数据

软件包元数据

软件包键brew:ata
版本2.0.4
软件包管理器Homebrew
软件包管理器页面https://formulae.brew.sh/formula/ata
主页https://github.com/transformrs/ata
仓库https://github.com/transformrs/ata
上游文档https://github.com/transformrs/ata#readme
许可证MIT
源码归档https://github.com/transformrs/ata/archive/refs/tags/v2.0.4.tar.gz
构建依赖rust
Bottle可用 (于 arm64_linux, arm64_monterey, arm64_sequoia, arm64_sonoma, arm64_tahoe, arm64_ventura, monterey, sonoma, ventura, x86_64_linux)
Homebrew post-install未定义
服务未声明

注册表事实

源数据库详情

Source DatabaseHomebrew formula API
Taphomebrew/core
Full Nameata
Version Scheme0
Revision0
Bottle Stable Root URLhttps://ghcr.io/v2/homebrew/core
Deprecatedno
Disabledno
Keg Onlyno
URL Keys
  • stable

源数据库匹配

其他软件包管理器记录

匹配项来自外部软件包管理器索引,并与本地 Automic Vault 软件包链接分开显示。

MacPorts95%

ata

sudo port install ata
  • normalized package name match
  • 匹配方式:Ata
MacPorts ports tree · api.github.com · MacPorts ports tree: llm/ata/Portfile from https://api.github.com/repos/macports/macports-ports/git/trees/master?recursive=1

来源线索

由仓库数据生成

此页面由 av-webscripts/generate-pkg-sqlite.py 生成的私有软件包 SQLite 工件提供。

使用的来源

  • Geiger risk classifier
  • Nucleus package database
  • av.db category and tag curation
  • cross-ecosystem install command graph
  • curated package history
  • external package-manager database matches
  • package relationship graph
  • package version freshness
  • package-page enrichment