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cherry-studio/packages/ai-sdk-provider
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George·Dong d10f6242f2 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.
2026-01-03 23:39:10 +08:00
..
src fix: update deepseek logic to match deepseek v3.2 (#11648) 2025-12-04 19:13:51 +08:00
package.json refactor: switch workflows from yarn to pnpm 2026-01-03 23:39:10 +08:00
README.md feat: add @cherrystudio/ai-sdk-provider package and integrate (#10715) 2025-11-12 18:16:27 +08:00
tsconfig.json feat: add @cherrystudio/ai-sdk-provider package and integrate (#10715) 2025-11-12 18:16:27 +08:00
tsdown.config.ts feat: add @cherrystudio/ai-sdk-provider package and integrate (#10715) 2025-11-12 18:16:27 +08:00

README.md

@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
yarn 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/openai to 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.