# Installer fanyi avec Homebrew

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

## installation

```sh
sudo av install brew:fanyi
```

Commandes d'installation supplémentaires:

### macOS

- Homebrew (100%):

```sh
brew install fanyi
```

  Preuve: local Homebrew formula metadata

## Faits du paquet

- **Clé du paquet:** brew:fanyi
- **Gestionnaire de paquets:** Homebrew
- **Version:** 11.0.0
- **Résumé source:** Chinese and English translate tool in your command-line
- **Page d'accueil:** <https://github.com/afc163/fanyi>
- **Dernière mise à jour:** 2026-06-08T21:46:19+02:00
- **Généré:** 2026-08-03T19:37:03+00:00

## exécutables

- fanyi (alias)
- fy (alias)

## Comportement d'installation

- Bouteille: non disponible

## Version et fraîcheur

- page générée: 2026-08-03
- version du gestionnaire: 11.0.0
## Historique du projet et usages

Fanyi is a Chinese-English command-line translation tool. The README describes it as powered by iciba, Youdao, and LLM translation, with the `fanyi` command and shorter `fy` alias.

### Historique du projet

The repository was created in December 2013, making Fanyi one of the longer-running small CLI tools in this batch. Its core workflow remains intentionally simple: install globally with npm or bun, then run `fanyi word` or `fy word` for dictionary and translation output.

In 2026, the v11.0.0 release announcement in the README highlighted a shift toward out-of-the-box LLM translation through a built-in free proxy, restored Youdao support, streaming semantic coloring, custom OpenAI-compatible LLM configuration, and an agent skill.

### Historique d'adoption

Official project surfaces include npm distribution, Homebrew packaging in the input facts, GitHub releases, and README badges for npm version and monthly downloads. The repository metadata also shows substantial GitHub interest for a small translation CLI.

### Modes d'utilisation

The normal user flow is `fanyi <word-or-sentence>` or `fy <word-or-sentence>`, with support for Chinese and English words, phrases, and sentences. `fanyi list` shows lookup history.

Configuration lives at `~/.config/fanyi/.fanyirc` and can be managed with `fanyi config set`. Users can disable individual sources, turn color off, or set `LLM_API_KEY`, `LLM_API_BASE_URL`, and `LLM_MODEL_ID` for custom OpenAI-compatible models.

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

Fanyi is package-manager-friendly because it turns a web dictionary and translation workflow into a tiny global CLI. Its 2026 LLM and agent-skill additions also show how older Node command-line packages are being refreshed for AI-agent and model-backed workflows.

### Chronologie

- 2013: Repository created.
- 2020: v4.2.0 released.
- 2023: v8.0.0 released.
- 2025: v10.0.0 released.
- 2026: v11.0.0 released with built-in LLM proxy and agent skill.

### Related projects

- iciba and Youdao are documented translation sources.
- OpenAI-compatible chat APIs are supported for custom LLM translation.
- npm is the primary JavaScript package distribution channel.

### Sources

- <https://github.com/afc163/fanyi>
- <https://raw.githubusercontent.com/afc163/fanyi/master/README.md>
- <https://api.github.com/repos/afc163/fanyi>
- <https://api.github.com/repos/afc163/fanyi/releases?per_page=100>


## Notes de sécurité

narrow executable package without higher-risk signals.

- **Risque Geiger:** vert / faible
- narrow executable package without higher-risk signals


## 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

- Unix: ~/.config/fanyi/.fanyirc

## Credential files

- Unix: ~/.config/fanyi/.fanyirc

## Combined YAML source

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


## Sources

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