# Installer distill-cli avec Homebrew

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

## installation

```sh
sudo av install brew:distill-cli
```

Commandes d'installation supplémentaires:

### macOS

- Homebrew (100%):

```sh
brew install distill-cli
```

  Preuve: local Homebrew formula metadata

## Faits du paquet

- **Clé du paquet:** brew:distill-cli
- **Gestionnaire de paquets:** Homebrew
- **Version:** 0.2.0
- **Résumé source:** Use AWS Transcribe and Bedrock to create summaries of your audio recordings
- **Page d'accueil:** <https://www.allthingsdistributed.com/2024/06/introducing-distill-cli.html>
- **Dépôt:** <https://github.com/awslabs/distill-cli>
- **Dernière mise à jour:** 2026-06-22T14:03:09-07:00
- **Généré:** 2026-08-03T19:37:03+00:00

## exécutables

- distill-cli (alias)

## Comportement d'installation

- Bouteille: non disponible

## Version et fraîcheur

- page générée: 2026-08-03
- version du gestionnaire: 0.2.0
## Historique du projet et usages

distill-cli is an AWS Labs Rust command-line tool for summarizing audio and other media with Amazon Transcribe and Amazon Bedrock. It sits in the newer wave of AI-assisted personal workflow CLIs rather than the older Unix-tool lineage.

### Historique du projet

Werner Vogels introduced Distill CLI in June 2024 as a local, Rust-powered offshoot of an earlier Distill meeting-summarization proof of concept. The README describes it as based on the open-source Amazon Bedrock Audio Summarizer and built with the AWS SDK for Rust.

### Historique d'adoption

The official launch post positioned the tool as a small, extensible command-line utility for builders who wanted to experiment with Rust and AWS generative-AI services. Homebrew packaging gave it the familiar install path used by macOS and Linux CLI users, but its official source material still describes a young proof-of-concept rather than a long-established ecosystem tool.

### Modes d'utilisation

A typical run points distill-cli at an input audio file, uploads media to S3, submits transcription through Amazon Transcribe, and summarizes the transcript with a Bedrock foundation model. Configuration is split between a local config.toml for model and output settings and the standard AWS CLI credential and region files.

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

For package-history purposes, distill-cli is notable as an example of cloud AI services being wrapped in a single-purpose native CLI. Its packaging story is less about broad dependency reuse and more about making an AWS demo workflow feel like a normal terminal tool.

### Chronologie

- 2024: Public source repository created for distill-cli.
- 2024: Werner Vogels publishes the introductory Distill CLI article.
- 2024: README documents local Rust builds, AWS CLI configuration, and Bedrock model settings.

### Related projects

- Amazon Bedrock Audio Summarizer is the direct predecessor named by the distill-cli README.
- The AWS CLI supplies the credential and region configuration model that distill-cli inherits.

### Sources

- <https://www.allthingsdistributed.com/2024/06/introducing-distill-cli.html>
- <https://github.com/awslabs/distill-cli#readme>
- <https://api.github.com/repos/awslabs/distill-cli>


## Notes de sécurité

Aucun manifest local de gestion des secrets correspondant n'a été trouvé pour distill-cli. 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

- Unix: config.toml, ~/.aws/config

## Credential files

- Unix: ~/.aws/credentials

## Combined YAML source

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