mirror of
https://github.com/CherryHQ/cherry-studio.git
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2a31fa2ad5
* refactor: switch workflows from yarn to pnpm
Replace Yarn usage with pnpm in CI workflows to standardize package
management and leverage pnpm's store/cache behavior.
- Use pnpm/action-setup to install pnpm (v) instead of enabling corepack
and preparing Yarn.
- Retrieve pnpm store path and update cache actions to cache the pnpm
store and use pnpm-lock.yaml for cache keys and restores.
- Replace yarn commands with pnpm equivalents across workflows:
install, i18n:sync/translate, format, build:* and tsx invocation.
- Avoid committing lockfile changes by resetting pnpm-lock.yaml instead
of yarn.lock when checking for changes.
- Update install flags: use pnpm install --frozen-lockfile / --install
semantics where appropriate.
These changes unify dependency tooling, improve caching correctness,
and ensure CI uses pnpm-specific lockfile and cache paths.
* build: switch pre-commit hook to pnpm lint-staged
Update .husky/pre-commit to run pnpm lint-staged instead of yarn.
This aligns the pre-commit hook with the project's package manager
and ensures lint-staged runs using pnpm's environment and caching.
* chore(ci): remove pinned pnpm version from GH Action steps
Remove the explicit `with: version: 9` lines from multiple GitHub Actions workflows
(auto-i18n.yml, nightly-build.yml, pr-ci.yml, update-app-upgrade-config.yml,
sync-to-gitcode.yml, release.yml). The workflows still call `pnpm/action-setup@v4`
but no longer hardcode a pnpm version.
This simplifies maintenance and allows the action to resolve an appropriate pnpm
version (or use its default) without needing updates whenever the pinned
version becomes outdated. It reduces churn when bumping pnpm across CI configs
and prevents accidental pin drift between workflow files.
* build: Update pnpm to 10.27.0 and add onlyBuiltDependencies config
* Update @cherrystudio/openai to 6.15.0 and consolidate overrides
* Add @langchain/core to overrides
* Add override for openai-compatible 1.0.27
* build: optimize pnpm config and add missing dependencies
- Comment out shamefully-hoist in .npmrc for better pnpm compatibility
- Add React-related packages to optimizeDeps in electron.vite.config.ts
- Add missing peer dependencies and packages that were previously hoisted
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
* build: refine pnpm configuration and dependency management
- Simplify .npmrc to only essential electron mirror config
- Move platform-specific dependencies to devDependencies
- Pin sharp version to 0.34.3 for consistency
- Update sharp-libvips versions to 1.2.4
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
* reduce app size
* format
* build: remove unnecessary disableOxcRecommendation option from react plugin configuration
* docs: Replace yarn commands with pnpm in documentation and scripts
* Revert "build: optimize pnpm config and add missing dependencies"
This reverts commit
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| README.md | ||
| tsconfig.json | ||
| tsdown.config.ts | ||
@cherrystudio/ai-sdk-provider
CherryIN provider bundle for the Vercel AI SDK.
It exposes the CherryIN OpenAI-compatible entrypoints and dynamically routes Anthropic and Gemini model ids to their CherryIN upstream equivalents.
Installation
npm install ai @cherrystudio/ai-sdk-provider @ai-sdk/anthropic @ai-sdk/google @ai-sdk/openai
# or
pnpm add ai @cherrystudio/ai-sdk-provider @ai-sdk/anthropic @ai-sdk/google @ai-sdk/openai
Note
: This package requires peer dependencies
ai,@ai-sdk/anthropic,@ai-sdk/google, and@ai-sdk/openaito be installed.
Usage
import { createCherryIn, cherryIn } from '@cherrystudio/ai-sdk-provider'
const cherryInProvider = createCherryIn({
apiKey: process.env.CHERRYIN_API_KEY,
// optional overrides:
// baseURL: 'https://open.cherryin.net/v1',
// anthropicBaseURL: 'https://open.cherryin.net/anthropic',
// geminiBaseURL: 'https://open.cherryin.net/gemini/v1beta',
})
// Chat models will auto-route based on the model id prefix:
const openaiModel = cherryInProvider.chat('gpt-4o-mini')
const anthropicModel = cherryInProvider.chat('claude-3-5-sonnet-latest')
const geminiModel = cherryInProvider.chat('gemini-2.0-pro-exp')
const { text } = await openaiModel.invoke('Hello CherryIN!')
The provider also exposes completion, responses, embedding, image, transcription, and speech helpers aligned with the upstream APIs.
See AI SDK docs for configuring custom providers.