macOS
Homebrew已验证 · 100%
brew install gptlinelocal Homebrew formula metadata
安装
其他安装命令
概览
软件包摘要
ChatGPT client with native iTerm2 support
历史
项目历史与用法
gptline is George Nachman's Python command-line ChatGPT client, designed around multi-line terminal conversations, searchable history, prompt editing, response regeneration, and iTerm2 marks.
项目历史
The official GitHub repository was created in September 2023, during the first large wave of small ChatGPT terminal clients. The project uses Python packaging and has no GitHub release series; its README and source tree are the primary public record.
Its implementation stores conversations and settings in a local SQLite database while reading an OpenAI API key from `OPENAI_API_KEY` or the legacy `OPENAI_KEY` environment variable.
采用历史
The README supports installation from Python packaging with `pip3 install gptline`, while the supplied metadata records a Homebrew formula. This gives the niche client both Python-native and system-package installation paths.
使用方式
After setting an OpenAI API-key environment variable, users run `gptline` to enter the interactive client. It supports multiple conversations, full-text search, editing and regenerating messages, and iTerm2 marks for moving between messages; `Ctrl+C` exits.
为什么软件包爱好者会关心
gptline captures the early post-ChatGPT pattern of wrapping a hosted model API in a focused Unix command. Its small Python package, console entry point, local SQLite history, environment-based credentials, and Homebrew availability make it a useful snapshot of that packaging moment.
时间线
- 2023: The official GitHub repository is created and gptline is published as a Python terminal client.
- 2023–2024: The client gains conversation search, editing, regeneration, and terminal-oriented interaction.
- 2020s: Homebrew adds a packaged installation route alongside pip.
Related projects
- OpenAI GPT models provide the remote chat service used by gptline.
- iTerm2 supplies the terminal marks that gptline uses for message navigation.
来源
安全态势
尚未找到受保护工具覆盖
没有找到 gptline 的匹配本地密钥处理 manifest。软件包元数据仍在此发布，以便未来覆盖拥有稳定的软件包 URL。
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 6 个平台目标。
- 安装时包含 11 个运行时依赖。
- 构建元数据列出 2 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 |
|---|---|---|---|
gptline | cli | 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2026-08-04
管理器版本1.0.8
管理器更新时间2026-07-09
本地数据OK
上游not checked
检测到的最新版本未检测到
https://github.com/gnachman/gptline
- 信息No cached GitHub release or tag data was available.https://github.com/gnachman/gptlinenone 置信度
安装元数据
软件包元数据
| 软件包键 | brew:gptline |
|---|---|
| 版本 | 1.0.8 |
| 软件包管理器 | Homebrew |
| 软件包管理器页面 | https://formulae.brew.sh/formula/gptline |
| 主页 | https://github.com/gnachman/gptline |
| 仓库 | https://github.com/gnachman/gptline |
| 许可证 | GPL-3.0-only |
| 源码归档 | https://files.pythonhosted.org/packages/5b/28/d15a9a5b349c77a051a633e13141151314f352067ec7d516220bd6b20fcf/gptline-1.0.8.tar.gz |
| 最后更新 | 2026-07-09T10:49:36Z |
| Pulse | updated |
| 依赖 | certifi, freetype, jpeg-turbo, libraqm, libtiff, libyaml, little-cms2, pillow, pydantic, python@3.14, webp |
| 构建依赖 | pkgconf, rust |
| macOS 提供的库 | libxml2, libxslt |
| Bottle | 可用 (于 arm64_linux, arm64_sequoia, arm64_sonoma, arm64_tahoe, sonoma, 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 Database | Homebrew formula API |
|---|---|
| Tap | homebrew/core |
| Full Name | gptline |
| Version Scheme | 0 |
| Revision | 22 |
| Head Version | HEAD |
| Bottle Stable Root URL | https://ghcr.io/v2/homebrew/core |
| Deprecated | no |
| Disabled | no |
| Keg Only | no |
| URL Keys |
|
来源线索
由仓库数据生成
此页面由 av-web 从 scripts/generate-pkg-sqlite.py 生成的私有软件包 SQLite 工件提供。
Combined YAML source
View the package source record on GitHub.
使用的来源
- Geiger risk classifier
- cross-ecosystem install command graph
- curated package history
- package relationship graph
- package version freshness
- package-page enrichment
- pkg.so package database
- pkgdb category and tag curation