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Auto-Generate Translations in a CI/CD Pipeline
Intlayer allows the automatic generation of translations for your content declaration files. There are multiple ways to achieve this depending on your workflow.
Using the CMS
With Intlayer, you can adopt a workflow where only a single locale is declared locally, while all translations are managed remotely through the CMS. This allows content and translations to be completely detached from the codebase, offering more flexibility for content editors and enabling hot content reloading (no need to rebuild the application to apply changes).
Example Configuration
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import { Locales, type IntlayerConfig } from "intlayer";const config: IntlayerConfig = { internationalization: { locales: [Locales.ENGLISH, Locales.SPANISH, Locales.FRENCH], requiredLocales: [Locales.ENGLISH], // Optional locales will be managed remotely defaultLocale: Locales.ENGLISH, }, editor: { dictionaryPriorityStrategy: "distant_first", // Remote content takes priority applicationURL: process.env.APPLICATION_URL, // Application URL used by the CMS clientId: process.env.INTLAYER_CLIENT_ID, // CMS credentials clientSecret: process.env.INTLAYER_CLIENT_SECRET, }, ai: { applicationContext: "This is a test application", // Helps ensure consistent translation generation },};export default config;To learn more about the CMS, refer to the official documentation.
Using Husky
You can integrate translation generation into your local Git workflow using Husky.
Example Configuration
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import { Locales, type IntlayerConfig } from "intlayer";const config: IntlayerConfig = { internationalization: { locales: [Locales.ENGLISH, Locales.SPANISH, Locales.FRENCH], requiredLocales: [Locales.ENGLISH], // Optional locales are handled remotely defaultLocale: Locales.ENGLISH, }, editor: { clientId: process.env.INTLAYER_CLIENT_ID, clientSecret: process.env.INTLAYER_CLIENT_SECRET, }, ai: { provider: "openai", apiKey: process.env.OPENAI_API_KEY, // Use your own API key applicationContext: "This is a test application", // Helps ensure consistent translation generation },};export default config;Copy the code to the clipboard
npx intlayer build # To ensure dictionaries are up to datenpx intlayer fill --unpushed --mode fill # Only fill missing content, does not update existing onesFor more information about Intlayer CLI commands and their usage, refer to the CLI documentation.
If you have multiple apps in your repo using separate intlayer instances, you can use the --base-dir argument like this:
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# App 1npx intlayer build --base-dir ./app1npx intlayer fill --base-dir ./app1 --unpushed --mode fill# App 2npx intlayer build --base-dir ./app2npx intlayer fill --base-dir ./app2 --unpushed --mode fillUsing GitHub Actions
Intlayer provides a CLI command to autofill and review dictionary content. This can be integrated into your CI/CD workflow using GitHub Actions.
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name: Intlayer Auto-Fill# Trigger conditions for this workflowon: pull_request: branches: - "main"permissions: contents: write pull-requests: writeconcurrency: group: "autofill-${{ github.ref }}" cancel-in-progress: truejobs: autofill: runs-on: ubuntu-latest env: # OpenAI AI_MODEL: openai AI_PROVIDER: gpt-5-mini AI_API_KEY: ${{ secrets.AI_API_KEY }} steps: # Step 1: Get the latest code from the repository - name: ⬇️ Checkout repository uses: actions/checkout@v4 with: persist-credentials: true # Keep credentials for creating PRs fetch-depth: 0 # Get full git history for diff analysis # Step 2: Set up Node.js environment - name: 🟢 Set up Node.js uses: actions/setup-node@v4 with: node-version: 20 # Use Node.js 20 LTS for stability # Step 3: Install project dependencies - name: 📦 Install dependencies run: npm install # Step 4: Install Intlayer CLI globally for translation management - name: 📦 Install Intlayer run: npm install -g intlayer-cli # Step 5: Build the Intlayer project to generate translation files - name: ⚙️ Build Intlayer project run: npx intlayer build # Step 6: Use AI to automatically fill missing translations - name: 🤖 Auto-fill missing translations run: npx intlayer fill --git-diff --mode fill --provider $AI_PROVIDER --model $AI_MODEL --api-key $AI_API_KEY # Step 7: Check if there are changes and commit them - name: � Check for changes id: check-changes run: | if [ -n "$(git status --porcelain)" ]; then echo "has-changes=true" >> $GITHUB_OUTPUT else echo "has-changes=false" >> $GITHUB_OUTPUT fi # Step 8: Commit and push changes if any exist - name: 📤 Commit and push changes if: steps.check-changes.outputs.has-changes == 'true' run: | git config --local user.email "action@github.com" git config --local user.name "GitHub Action" git add . git commit -m "chore: auto-fill missing translations [skip ci]" git push origin HEAD:${{ github.head_ref }}To set up the environment variables, go to GitHub → Settings → Secrets and variables → Actions and add the secret .
Same as for Husky, in the case of a monorepo, you can use the --base-dir argument to sequentially treat each app.
By default, the --git-diff argument filters dictionaries that include changes from base (default origin/main) to current branch (default: HEAD).
For more information about Intlayer CLI commands and their usage, refer to the CLI documentation.
Doc History
| Version | Date | Changes |
|---|---|---|
| 5.5.10 | 2025-06-29 | Init history |