# Installer llm avec Homebrew, apt, Nix

Consultez les chemins d'installation, exécutables, métadonnées et notes de sécurité de llm pour les workflows d'agents IA.

## installation

```sh
sudo av install brew:llm
```

Commandes d'installation supplémentaires:

### macOS

- Homebrew (100%):

```sh
brew install llm
```

  Preuve: local Homebrew formula metadata

### Linux

- Debian apt (92%):

```sh
sudo apt install llm
```

  Preuve: Debian stable package indexes: llm from https://deb.debian.org/debian/dists/stable/contrib/binary-amd64/Packages.xz

- Nix (92%):

```sh
nix profile install nixpkgs#llm
```

  Preuve: nixpkgs package indexes: pkgs/by-name/ll/llm/package.nix from https://api.github.com/repos/NixOS/nixpkgs/git/trees/master?recursive=1

## Faits du paquet

- **Clé du paquet:** brew:llm
- **Gestionnaire de paquets:** Homebrew
- **Version:** 0.31.1
- **Résumé source:** Access large language models from the command-line
- **Page d'accueil:** <https://llm.datasette.io/>
- **Dernière mise à jour:** 2026-07-10T19:29:48Z
- **Généré:** 2026-08-03T19:37:03+00:00

## exécutables

- llm (alias)

## Comportement d'installation

- Bouteille: non disponible

## Version et fraîcheur

- page générée: 2026-08-03
- version du gestionnaire: 0.31.1
## Historique du projet et usages

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.

### Historique du projet

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.

### Historique d'adoption

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.

### Modes d'utilisation

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.

### Pourquoi les passionnés de paquets s'y intéressent

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.

### Chronologie

- 2023-04-01: LLM 0.1 initial prototype release.
- 2023-07-12: LLM 0.5 added the plugin mechanism for additional language models.
- 2024-10-29: LLM 0.17 added attachment support for multimodal models.
- 2025-05-27: LLM 0.26 added tool support.
- 2026-06-09: LLM 0.32a3 appeared in the changelog with tool-call and human-in-the-loop improvements.

### Related projects

- Datasette is related through the broader Simon Willison/Datasette tooling ecosystem and the io.datasette.llm application data namespace.
- LLM plugins such as provider adapters and local-model integrations are central to the project's architecture.
- SQLite is related through LLM's prompt and response logging features.

### Sources

- <https://formulae.brew.sh/formula/llm>
- <https://github.com/simonw/llm>
- <https://github.com/simonw/llm/releases/tag/0.1>
- <https://llm.datasette.io/>
- <https://llm.datasette.io/en/stable/changelog.html>
- <https://llm.datasette.io/en/stable/setup.html>


## Notes de sécurité

Aucun manifest local de gestion des secrets correspondant n'a été trouvé pour llm. Les métadonnées de paquet Nucleus restent publiées ici afin que la couverture future dispose d'une URL stable.



## Configuration and credential file locations

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.


## Configuration files

- Linux: ~/.config/io.datasette.llm/, ~/.config/io.datasette.llm/templates/*.yaml, ~/.config/io.datasette.llm/extra-openai-models.yaml
- macOS: ~/Library/Application Support/io.datasette.llm/, ~/Library/Application Support/io.datasette.llm/templates/*.yaml, ~/Library/Application Support/io.datasette.llm/extra-openai-models.yaml

## Credential files

- Linux: ~/.config/io.datasette.llm/keys.json
- macOS: ~/Library/Application Support/io.datasette.llm/keys.json
## Autres enregistrements de gestionnaires de paquets

- Debian apt - llm - 0.23-1: normalized package name match | Debian stable package indexes: llm from https://deb.debian.org/debian/dists/stable/contrib/binary-amd64/Packages.xz | CLI utility and Python library for interacting with Large Language Models | https://github.com/simonw/llm
- Nix - llm: normalized package name match | nixpkgs package indexes: pkgs/by-name/ll/llm/package.nix from https://api.github.com/repos/NixOS/nixpkgs/git/trees/master?recursive=1


## Combined YAML source

View the package source record on GitHub. [combined/llm.yml](https://github.com/mxcl/pkgdb/blob/main/combined/llm.yml)


## Sources

- pkg.so package database
- Geiger risk classifier
- curated configuration and credential file locations
- curated package history
- pkgdb category and tag curation
- external package-manager database matches
- cross-ecosystem install command graph