Configure verbatra avec un agent IA
Un prompt prêt à copier-coller pour Claude Code, Cursor ou n'importe quel agent IA de code, pour ajouter verbatra à un projet qui a déjà une configuration i18n, protégé par une confirmation humaine explicite avant toute dépense.
Page traduite automatiquement
Cette page s'adresse à un projet qui a déjà des fichiers de locale : i18next, vue-i18n, next-intl, ngx-translate, ou des fichiers JSON, YAML, XLIFF, ARB ou properties bruts, déjà commités et déjà utilisés. Colle le prompt ci-dessous dans ton agent IA de code (Claude Code, Cursor, ou tout agent capable de lire ton projet et d'exécuter des commandes shell), et il se charge lui-même d'inspecter ta configuration, d'installer verbatra, de générer une config qui correspond à ce qu'il a trouvé et de prévisualiser une exécution, puis s'arrête et te demande confirmation avant d'appeler un fournisseur pour de vrai.
Si tu configures verbatra toi-même plutôt que de le confier à un agent, Ta première traduction est la version humaine du même parcours.
Le prompt
Copie tout le contenu du bloc ci-dessous.
You are setting up verbatra (an i18n translation automation CLI, `@verbatra/cli`
on npm) in this project. This project already has an existing i18n setup - do not
treat it as a greenfield project. Follow these steps in order and do not skip the
safety gates in steps 7 and 8.
## 1. Inspect the existing i18n setup
Before touching anything, find out what is already here:
- Look in `package.json` dependencies for an i18n library: `i18next`, `vue-i18n`,
`next-intl`, or `@ngx-translate/core`.
- Find the actual locale files (commonly under `locales/`, `src/locales/`,
`public/locales/`, `i18n/`, or similar) and determine:
- The file format: nested JSON, flat JSON, `.yml`/`.yaml`, `.xlf`/`.xliff`, `.arb`,
or `.properties`.
- The source locale: the language the strings are actually written in.
- Every target locale already present.
- The exact path pattern, written with a `{locale}` token, for example
`locales/{locale}.json`, `src/i18n/{locale}/common.json`, or
`res/{locale}/strings.xml`.
- Map what you found to one verbatra format id: i18next -> `i18next-json`,
vue-i18n -> `vue-i18n-json`, next-intl -> `next-intl-json`,
ngx-translate -> `ngx-translate-json`, `.yml`/`.yaml` -> `yaml`,
`.xlf`/`.xliff` -> `xliff`, `.arb` -> `arb`, `.properties` -> `properties`. Plain
JSON with no matching library: pick by placeholder syntax, `{{name}}` means
`i18next-json`, single-brace `{name}` means `vue-i18n-json`.
- If the format is `xliff`: verbatra only updates `<target>` elements in a file that
already exists, it never creates one. Every target locale's XLIFF file must already
be present before you run `translate`.
Do not trust `verbatra init`'s own format auto-detection: it only inspects
`package.json` for exactly one of `i18next`/`vue-i18n`/`next-intl`/
`@ngx-translate/core` and never reads the locale directory itself, so it cannot see
YAML, XLIFF, ARB, properties, or a project with more than one of those dependencies.
Use what you found above instead of trusting its guess.
## 2. Install the CLI
npm install --save-dev @verbatra/cli
pnpm and yarn work too. With pnpm, if it exits with `ERR_PNPM_IGNORED_BUILDS`, run
`pnpm approve-builds` once and approve neither entry.
## 3. Scaffold the config, non-interactively
Run `verbatra init` with explicit flags for what you found in step 1:
npx verbatra init --provider <anthropic|openai|gemini|deepl> --source <source-locale> \
--targets <comma-separated-target-locales> --path <pattern-with-{locale}> --yes
Ask the human which provider to use unless it is already obvious from the project
(an existing key reference, a comment, a teammate's note). Do not pick a provider
that spends against a service the human never agreed to.
`init --provider` accepts only `anthropic`, `openai`, `gemini`, or `deepl`. For a
local or self-hosted OpenAI-compatible server instead, scaffold with one of those
four as a placeholder, then replace the whole `provider` block in
`verbatra.config.ts` by hand with an `openai-compatible` block (it needs `baseUrl`,
`model`, and `maxOutputTokens`); `doctor` in step 4 validates either shape the same
way.
`init` has no `--format` flag. Open the generated `verbatra.config.ts` right after
and set `format` to the id you determined in step 1 - the scaffold's own guess is
unreliable for anything beyond the four JSON dependencies, and is wrong outright for
YAML, XLIFF, ARB, and properties projects.
If the project splits strings across several namespace files per locale (for
example `common.json` and `auth.json` side by side), verbatra addresses exactly one
file per config: `files.pattern` is a literal path, never a glob. Tell the human
this project needs one config per namespace before you go further, and stop for
their direction rather than guessing which namespace to wire up.
## 4. Run doctor and fix until clean
npx verbatra doctor
`doctor` validates the config, the format, the provider id, and the source file,
with no network call and no key read. Fix whatever it reports by editing
`verbatra.config.ts` (for example a missing `model` and `maxTokens` for Anthropic,
or `model` and `maxOutputTokens` for OpenAI, Gemini, or openai-compatible), then run
it again. Repeat until it passes with no errors.
## 5. Add the API key variable name - never a value
cp .env.example .env
Open `.env` and confirm it names the right variable for the chosen provider
(`ANTHROPIC_API_KEY`, `OPENAI_API_KEY`, `GEMINI_API_KEY`, or `DEEPL_API_KEY`). Do not
write, invent, or ask the human to paste a key value into anything you output.
Leave the value blank and tell the human to fill it in themselves, directly in
`.env`.
## 6. Preview - read-only, no spend
Run all three and read what they report:
npx verbatra check --json
npx verbatra diff --json
npx verbatra translate --dry-run --json
None of the three calls a provider, needs a key, or writes a file. `check` gives
per-locale counts, `diff` names the exact keys, and `translate --dry-run` gives the
full run summary a real run would produce.
Before you go further, know how verbatra treats what is already there: it never
overwrites or retranslates an existing value. A source key the target file already
has is left exactly as it is, even on this very first run before a lock file
exists - only keys genuinely missing from the target get translated. The one trap:
an empty string still counts as an existing key, so a placeholder value like `""`
will not be filled in by a normal run. If this project has empty-string
placeholders that need a real translation, tell the human and ask before deleting
those keys from the target files, since that changes tracked files; once deleted,
the next run treats them as missing and translates them.
## 7. Stop. Report. Get explicit confirmation.
Summarize in plain language: how many keys are pending, per locale, and what
`translate --dry-run` said it would do. Then stop and ask the human to explicitly
confirm before you run a real `translate`. Do not proceed on your own judgment: a
real run spends against the provider immediately, with no confirmation prompt of
its own.
Never suggest or use `--prune` unless the human has explicitly asked for orphaned
keys to be removed from target files. It deletes existing target entries.
## 8. Only after explicit confirmation: translate for real
npx verbatra translate --json
Report the result from the summary's `succeeded`, `partial`, and `failed` lists. A
`partial` or `failed` locale was still written with whatever did succeed; nothing
already translated is lost.
## 9. Commit the right files
Commit:
- `verbatra.config.ts`
- `.env.example`
- `verbatra.lock.json`
- the translated locale files
Never commit `.env`, `.env.local`, `.verbatra-local/`, or `verbatra.cache.json`.
`verbatra init` already added these to `.gitignore`; confirm they are actually
ignored before committing rather than assuming the scaffold caught every case.Pourquoi cette forme
translate n'a pas de garde-fou de dépense qui lui soit propre : dès qu'une config valide et une clé API existent, un simple verbatra translate appelle le fournisseur immédiatement, sans aucune confirmation. Le prompt ci-dessus place ce garde-fou dans les instructions de l'agent à la place : doctor, check, diff et translate --dry-run sont tous gratuits et en lecture seule, donc l'agent peut valider toute la configuration et te montrer exactement ce qui se passerait avant l'étape 8, la seule étape qui dépense quoi que ce soit.
Suite
- Recettes pour agents et scripts : l'enveloppe
--jsonet les codes de sortie sur lesquels s'appuient les commandes de ce prompt, pour construire tes propres boucles d'agent par-dessus. - Piloter Studio avec un agent navigateur : une surface différente, pour piloter un projet déjà configuré depuis un onglet de navigateur plutôt que depuis un shell.
- Ta première traduction : le même parcours de configuration, écrit pour une personne plutôt que pour un agent.
- Le fichier de verrouillage : tout le détail derrière le comportement de sécurité d'adoption sur lequel s'appuie ce prompt.
Introduction
Ce qu'est verbatra, le problème qu'il résout, et comment la CLI, le SDK et Studio s'articulent. Traduis uniquement les clés qui ont changé, avec des contrôles d'intégrité sur chaque résultat.
Ta première traduction
Installe la CLI, génère une configuration avec verbatra init, prévisualise l'exécution sans clé d'API, puis définis ta clé et lance ta première commande translate. Moins de dix minutes entre rien et un fichier de locale traduit.