vercel/ai1 file

Add Provider Package

Guide for adding first-party AI provider packages to the AI SDK. Use when creating a provider package under packages/ to integrate an external AI service.

Specification
Skill ID
vercel/ai/add-provider-package
Publisher
vercel
Repository
ai
Installs
0
Files
1
Synced
Sep 23, 2026
How to use it

Open any RiverX project, open the Skills panel in the chat, and search for this identifier. The files are fetched from the source repository at install time.

vercel/ai/add-provider-packageInstalls these files
  • SKILL.md

What this skill tells the agent

Add a Provider Package

Add a complete first-party @ai-sdk/<provider> package that follows the current provider interfaces, repository conventions, security requirements, and release process.

Read the Current Sources of Truth

Before implementing anything, read:

  • Add new provider for current package and release requirements
  • Provider development notes for naming, schemas, and workflow serialization
  • Provider architecture for the provider abstraction
  • Secure URL handling when the provider fetches polling, image, audio, video, or other URLs

Use PR #18595 as a recent end-to-end example, but choose the current provider package whose API shape and model types most closely resemble the new provider as the implementation reference.

Third parties can publish provider packages outside this repository. A new first-party @ai-sdk/<provider> package requires prior discussion in an issue. Confirm that agreement exists before implementing the package.

Discover the API Contract

Before designing model classes, look for an official, versioned OpenAPI or Swagger specification in the provider's documentation or repositories. Prefer first-party specifications and record the source URL plus its version, publication date, or commit in the implementation notes or pull request.

Use the specification and official documentation to identify:

  • base URLs and authentication schemes
  • supported endpoints, model types, and capabilities
  • request parameters and response shapes
  • streaming transports and event formats
  • error response envelopes
  • asynchronous polling and download URL flows

Treat an OpenAPI specification as implementation evidence, not unquestioned truth. Specifications are often incomplete for server-sent events, streaming deltas, polymorphic content, tool calls, nullable fields, and errors. Do not add a generated client or generated production types by default. Implement minimal hand-written types and Zod schemas, then verify them against official documentation and captured API responses.

If no official specification exists, derive the contract from official documentation and real response fixtures, and note that limitation in the pull request.

Plan the Provider Shape

Determine which AI SDK model interfaces the provider supports, such as LanguageModelV4, EmbeddingModelV4, ImageModelV4, SpeechModelV4, TranscriptionModelV4, RerankingModelV4, or Experimental_VideoModelV4.

Before introducing a dependency, public API pattern, or new abstraction, read contributing/decisions/README.md and relevant accepted ADRs. Prefer existing provider utilities and implementation patterns.

Scaffold the Package

Create packages/<provider>/ by adapting a current, comparable provider package. A typical package contains:

packages/<provider>/
├── src/
│   ├── index.ts
│   ├── version.ts
│   ├── <provider>-provider.ts
│   ├── <provider>-provider.test.ts
│   ├── <provider>-<model-type>-model.ts
│   ├── <provider>-<model-type>-model.test.ts
│   └── <provider>-<model-type>-options.ts
├── CHANGELOG.md
├── README.md
├── package.json
├── tsconfig.json
├── tsconfig.build.json
├── tsup.config.ts
├── turbo.json
├── vitest.node.config.js
└── vitest.edge.config.js

Preserve current package conventions rather than recreating configuration from memory:

  • Set the repository package version to exactly 2.0.0, with no prerelease suffix.
  • Create CHANGELOG.md with an initial # @ai-sdk/<provider> heading.
  • Use ESM output and the current tsup package-version injection pattern.
  • Extend ./node_modules/@vercel/ai-tsconfig/ts-library.json, enable a composite project, and add package references for workspace dependencies.
  • Include the standard build, clean, type-check, Node test, and Edge test scripts.
  • Include the standard files, documentation prepack, repository, bugs, engines, and public provenance publishing metadata.
  • Use workspace:* for AI SDK workspace dependencies. Add @ai-sdk/test-server only when tests use it.
  • Support the repository's Zod 3 and Zod 4 peer dependency range and use zod/v4 for new implementation schemas.

Run pnpm update-references after adding or changing workspace dependencies.

Implement the Provider Factory

Follow the current provider factory pattern:

  • Define a provider interface that extends ProviderV4.
  • Export create<Provider>(settings) and a default provider instance.
  • Make the provider callable when it has a meaningful default model type and comparable providers follow that pattern; otherwise return a provider object.
  • Set provider.specificationVersion = 'v4'.
  • Implement the fully specified factory methods required by ProviderV4, such as languageModel, embeddingModel, and imageModel.
  • Add short aliases such as chat, embedding, or image only when they improve the provider's API.
  • Throw NoSuchModelError from unsupported required model factories.
  • Support provider-appropriate settings such as apiKey, baseURL, headers, and a custom fetch implementation.
  • Load credentials with loadApiKey or the appropriate shared utility, normalize configurable base URLs, and include the package version in the user-agent suffix.
  • Export the provider factory, default instance, public option types, model ID types, and VERSION from src/index.ts.

Implement Model Classes

Implement each supported model using the appropriate interface from @ai-sdk/provider and shared utilities from @ai-sdk/provider-utils.

Provider option types and schemas must follow the repository naming and export rules. User-facing option fields should use .optional() unless null is meaningful. Response schemas should be minimal, tolerate unused provider fields, and use .nullish() where the API may omit or return null.

All model classes must implement the workflow serialization contract described in Provider development notes:

  • make model configuration headers optional
  • add WORKFLOW_SERIALIZE and WORKFLOW_DESERIALIZE static methods
  • use serializeModel, serializeModelOptions, or the matching existing pattern
  • ensure authentication and other non-serializable functions can be restored from request options or the workflow environment

Handle Responses, Errors, and URLs Safely

  • Never use JSON.parse in production code. Use parseJSON or safeParseJSON from @ai-sdk/provider-utils.
  • Validate successful and failed responses with minimal schemas and shared response handlers such as createJsonResponseHandler and createJsonErrorResponseHandler.
  • Introduce a custom AISDKError subclass only when the package needs a new public SDK error type; ordinary provider HTTP failures should use the shared API error handling.
  • Set validateUrl explicitly on every getFromApi call.
  • Use validateUrl: true when the URL host or scheme comes from a provider response, and false when it is derived from a developer-configured base URL.
  • Use trustedOrigin for legitimate response URLs that may point to a configured private or self-hosted endpoint.
  • Use credentialedOrigin when credentials may be sent on the first hop, so they are withheld from off-origin URLs and redirects.

Read Secure URL handling before implementing any polling or provider-supplied download URL flow.

Test Against the Real Contract

Add focused tests for:

  • provider defaults, custom settings, factory aliases, and unsupported model types
  • request serialization and response parsing
  • streaming events, usage, finish reasons, warnings, tool calls, and provider metadata where supported

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