macOS
brew install llmlocal Homebrew formula metadata
brew
llm のインストール経路、実行ファイル、メタデータ、AI エージェント向けセキュリティノートを確認します。
インストール
brew install llmlocal Homebrew formula metadata
nix profile install nixpkgs#llmnixpkgs package indexes · pkgs/by-name/ll/llm/package.nix · ソース: api.github.com
概要
Access large language models from the command-line
履歴
LLM is Simon Willison's command-line tool and Python library for working with large language models. It started as an OpenAI-focused CLI in 2023 and evolved into a plugin-based interface for remote APIs, local models, embeddings, prompt templates, logging, attachments, schemas, and tool use.
The changelog records version 0.1 on April 1, 2023 as the initial prototype release. Version 0.5 on July 12, 2023 added a plugin mechanism for additional language models, a key change that moved LLM beyond a single-provider OpenAI wrapper.
During 2023 and 2024, LLM added chat, embeddings, templates, SQLite logging and search, model aliases, attachments, async models, and broader provider support. In May 2025, version 0.26 added tool support, letting models execute Python functions through the CLI and Python API.
LLM became part of the Datasette-adjacent command-line culture around small composable tools, SQLite-backed logs, and plugin systems. Homebrew, Debian, and Nix packaging made it easy to install as a normal developer utility rather than only as a Python package.
Its adoption expanded with the growth of provider-specific plugins and local-model integrations, giving users one command-line interface across OpenAI, Anthropic, Gemini, Ollama-backed models, and many community plugins.
Common uses include running one-off prompts from the shell, piping files into a model, starting interactive chats, storing API keys, saving prompt templates, logging responses to SQLite, generating embeddings, and calling models from Python code.
The documented configuration paths and keys.json locations matter to package users because Homebrew installs the executable, while user-specific model keys, templates, logs, and extra model definitions live outside the package prefix.
LLM is package-nerd significant because it turns rapidly changing AI APIs into a stable Unix-style command with plugins. The packaging story is unusually important: users want a single binary-ish command in PATH, but the real extension surface is Python plugins and user configuration.
It is also a useful example of modern CLI state management: credentials, templates, provider models, logs, and tool definitions are intentionally external to the package, so upgrades can move the application forward without overwriting user data.
セキュリティ状態
llm に一致するローカルシークレット処理マニフェストは見つかりませんでした。将来の対応で安定したパッケージ URL を使えるよう、Nucleus パッケージメタデータはここに公開されています。
エージェントに無人実行させる前に、このツールが平文の認証情報を読むか、リモート状態を書き込むか、成果物を公開するか、プラグインを起動するかを確認してください。
local files
These source-backed paths show where this package keeps local settings or durable credentials. Automic Vault can use them as review targets for secret scanning, migration, and command approval.
Config paths the tool may read or write during local use.
~/.config/io.datasette.llm/~/.config/io.datasette.llm/templates/*.yaml~/.config/io.datasette.llm/extra-openai-models.yaml~/Library/Application Support/io.datasette.llm/~/Library/Application Support/io.datasette.llm/templates/*.yaml~/Library/Application Support/io.datasette.llm/extra-openai-models.yamlCredential-bearing paths to review before unattended agent runs.
~/.config/io.datasette.llm/keys.json~/Library/Application Support/io.datasette.llm/keys.json実行可能ファイル
| コマンド | 種類 | 公開範囲 | メモ |
|---|---|---|---|
llm | cli | グローバル実行可能ファイル |
鮮度
これらの信号は、ページ生成時期、パッケージマネージャの活動、上流リリース比較を分けて示します。バージョン遅れは、証拠 URL と比較可能なバージョンがある場合だけ警告されます。
インストールメタデータ
| パッケージキー | brew:llm |
|---|---|
| バージョン | 0.31.1 |
| パッケージマネージャ | Homebrew |
| パッケージマネージャページ | https://formulae.brew.sh/formula/llm |
| ホームページ | https://llm.datasette.io/ |
| リポジトリ | https://github.com/simonw/llm |
| 上流ドキュメント | https://llm.datasette.io/en/stable |
| ライセンス | Apache-2.0 |
| ソースアーカイブ | https://files.pythonhosted.org/packages/02/2a/ac37d94f6ac91d501475d80a0a1d8fb6bce392f9d7b483bf87257342e0b7/llm-0.31.1.tar.gz |
| 最終更新 | 2026-07-10T19:29:48Z |
| Pulse | updated |
| 依存関係 | certifi, libyaml, pydantic, python@3.14 |
| ビルド依存関係 | rust |
| Bottle | 利用可能 (対象 arm64_linux, arm64_sequoia, arm64_sonoma, arm64_tahoe, sonoma, x86_64_linux) |
| Homebrew post-install | 未定義 |
| サービス | 宣言なし |
レジストリ情報
| Source Database | Homebrew formula API |
|---|---|
| Tap | homebrew/core |
| Full Name | llm |
| Version Scheme | 0 |
| Revision | 0 |
| Bottle Stable Root URL | https://ghcr.io/v2/homebrew/core |
| Deprecated | no |
| Disabled | no |
| Keg Only | no |
| URL Keys |
|
ソースデータベース一致
一致は外部パッケージマネージャインデックスから取得され、ローカルの Automic Vault パッケージリンクとは分けて表示されます。
llm 0.23-1
CLI utility and Python library for interacting with Large Language Models
sudo apt install llmllm
nix profile install nixpkgs#llmソース経路
このページは scripts/generate-pkg-sqlite.py が生成した非公開のパッケージ SQLite アーティファクトから av-web によって提供されます。
View the package source record on GitHub.