fix(deps): update dependency @ai-sdk/google to v4

[renovate]

This PR contains the following updates:

Package	Change	Age	Confidence
@ai-sdk/google (source)	^3.0.0 → ^4.0.0

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Release Notes

vercel/ai (@​ai-sdk/google)

v4.0.0

Compare Source

Major Changes

• a3757d7: chore(provider/google): remove useless GenerativeAI affix from types and classes for consistency

• f7d4f01: feat(provider): add support for reasoning-file type for files that are part of reasoning

• ef992f8: Remove CommonJS exports from all packages. All packages are now ESM-only ("type": "module"). Consumers using require() must switch to ESM import syntax.

• c29a26f: feat(provider): add support for provider references and uploading files as supported per provider

• 3887c70: feat(provider): add new top-level reasoning parameter to spec and support it in generateText and streamText

• 8359612: Start v7 pre-release

• 04e9009: chore: make provider implementations code patterns more consistent, including renaming certain exported symbols

  For all externally exported symbols that were renamed, the old names continue to work via deprecated aliases.

Patch Changes

• 7f04802: feat(provider/google): add support for managed agents in the Interactions API

• 38fc777: Add AI Gateway hint to provider READMEs

• b71c0d7: feat(provider/google): support Google search grounding when using generateImage with Gemini

• 6190649: chore(provider/google): remove obsolete Google image model

• 55db546: fix(provider/google): fix Gemini service tier enum after upstream update

• 9a0a618: fix(google): fix serviceTier to be correctly formatted for Vertex API

• 00a0f36: feat(google, google-vertex): added gemini-embedding-2, deep-research-max-preview-04-2026 and deep-research-preview-04-2026

• 9715ec7: feat(provider/google): add support for service tier parameter

• 41da50c: fix(provider/google): support functionCall.id when returned by Gemini API and provide matching functionResponse.id

• add4326: fix(provider/google): correct JSDoc for multimodal embedding content option

• a8d70b6: fix(google): auto-inject skip_thought_signature_validator for Gemini 3 tool-call replays without a signature

• 947cdab: Add Google realtime Live Translation provider options for gemini-3.5-live-translate-preview.

• 4e825f3: feat(google): update Interactions API implementation to cater for upstream breaking changes coming May 26

• b563707: feat(provider/google): add Gemini text-to-speech (speech) model support

• a05109d: feat(provider/google): preserve per-modality token details in usage data

• cfca634: fix(google): emit Vertex no-args streaming tool calls and preserve thoughtSignature

  Vertex emits a no-args function call as a single chunk shaped { functionCall: { name: 'X' } } with no args, no partialArgs, and no willContinue. The streaming parser had no branch for this shape, so the call was dropped along with any thoughtSignature it carried. For Gemini 3 thinking models this caused the next multi-turn step to 400 with missing thought_signature. The unary (doGenerate) path had the same drop.

  Both paths now emit the call as a complete tool call with '{}' input and propagate thoughtSignature provider metadata.

  Fixes #​14847.

• c9c4661: fix(provider/google): preserve groundingMetadata and urlContextMetadata when they arrive in a stream chunk before the finishReason chunk

• 045d2e8: fix(google): read serviceTier from usageMetadata.serviceTier in both generate and stream paths

  The previous implementation read serviceTier from the x-gemini-service-tier
  response header, which is only populated on non-streaming responses. Gemini
  streaming includes the value in usageMetadata.serviceTier on every chunk, so
  providerMetadata.google.serviceTier was always null for streams. Read from
  usageMetadata for both paths instead.

• 19b95f9: fix(google): use VALIDATED function calling mode when any tool has strict:true

• 2ce3c65: feat(provider/google-vertex): add Gemini text-to-speech (speech) model support

• 5878b40: fix(google): prevent prototype pollution when streaming tool args

• 46d1149: chore(provider-utils,google): fix grammar errors in error and warning messages

• 6a26901: feat(google): add fileData support to embedding model

• 01fa606: feat(provider/google): support combining built-in tools with function calling on Gemini 3

• 5036db8: feat(google-vertex): add support for streaming tool arguments input

• 9f0e36c: trigger release for all packages after provenance setup

• a2609df: fix(google): fix streaming tool call args

• ab43029: feat(provider/google): support multimodal content parts in embedding provider options

• 82288b0: feat(provider/google): add gemini-embedding-2-preview and fix multimodal embedding support with embedMany

• b04e23e: feat(provider/google): add support for the Gemini Interactions API

• 58a2ad7: fix: more precise default message for tool execution denial

• e59176c: chore(google): update v3 specs to v4

• ebbb0f2: fix(provider/google): fix lack of image consistency when using Interactions API in stateless mode

• aeda373: fix: only send provider credentials to same-origin response-supplied URLs

  Several provider clients followed a URL taken from the provider's API response (a polling/status URL or a final media URL such as polling_url, urls.get, result_url, result.sample, or video.uri) and reused the authenticated headers — or appended ?key=<API_KEY> — on that request. Because the host of the response-supplied URL was never validated, the long-lived API key was sent to whatever host the response named (a CDN in the benign case, or an attacker-chosen host if the provider response was tampered with), allowing credential exfiltration.

  A new isSameOrigin helper is added to @ai-sdk/provider-utils, and the affected fetches in @ai-sdk/black-forest-labs, @ai-sdk/fireworks, @ai-sdk/replicate, @ai-sdk/gladia, @ai-sdk/fal, and @ai-sdk/google now attach credentials only when the followed URL is same-origin with the provider's configured API origin. Requests to a foreign origin are made without the credential.

• 7fc6bd6: Raise minimum supported Node.js version to 22. Supported versions: 22, 24, and 26.

• 0c4c275: trigger initial canary release

• bdb9ea1: chore(google): remove now obsolete Interactions API Api-Revision header

• db394ab: feat(provider/google): support cancelling long-running Interactions API agents via AbortSignal, and process their intermittent stream

• ce769dd: feat(provider): add experimental Realtime API support for voice conversations

  Adds first-class support for realtime (speech-to-speech) APIs:

  • Experimental_RealtimeModelV4 spec in @ai-sdk/provider with normalized event types and factory
  • OpenAI, Google, and xAI realtime provider implementations
  • openai.experimental_realtime() / google.experimental_realtime() / xai.experimental_realtime() work in both server and browser
  • .getToken() static method on each provider for server-side ephemeral token creation
  • experimental_getRealtimeToolDefinitions helper for provider session tool definitions
  • experimental_useRealtime hook in @ai-sdk/react returning UIMessage[] (aligned with useChat), with onToolCall and addToolOutput for client-driven tool execution
  • inputAudioTranscription session config for showing transcribed user audio messages when supported by the provider

• 5b7e7c2: fix(google-vertex): don't send streamFunctionCallArguments for unary API calls and change default to false

• 2edd14e: fix(provider/google): correctly mark reasoning files as such and fix related multi-turn errors

• 9bd6512: feat(provider): change file part data property to be tagged with a type and remove the image part type

• 258c093: chore: ensure consistent import handling and avoid import duplicates or cycles

• 546cefe: feat(provider/google): add gemini-3.5-flash

• 5463d0d: feat(provider): align tool result output content file part types with top-level message file part types

• 55f0938: chore(provider/google): update available models

• b8396f0: trigger initial beta release

• 84f36e0: fix(google): omit passing includeServerSideToolInvocations for Vertex tool_config

• 90e2d8a: chore: fix unused vars not being flagged by our lint tooling

• 4dac142: feat(google): add new finishMessage field in providerMetadata

• aeea161: feat(google): read serviceTier from x-gemini-service-tier response header in Gemini API and use PayGo for Vertex

• 18c1970: feat(provider/google): Add multimodal tool-result support for Google function responses.

  Tool results with output.type = 'content' now map media parts into
  functionResponse.parts for Google models, including image-data,
  file-data, and base64 data: URLs in URL-style content parts.
  Remote HTTP(S) URLs in URL-style tool-result parts are not supported.

• b3976a2: Add workflow serialization support to all provider models.

  @ai-sdk/provider-utils: New serializeModel() helper that extracts only serializable properties from a model instance, filtering out functions and objects containing functions. Third-party provider authors can use this to add workflow support to their own models.

  All providers: headers is now optional in provider config types. This is non-breaking — existing code that passes headers continues to work. Custom provider implementations that construct model configs manually can now omit headers, which is useful when models are deserialized from a workflow step boundary where auth is provided separately.

  All provider model classes now include WORKFLOW_SERIALIZE and WORKFLOW_DESERIALIZE static methods, enabling them to cross workflow step boundaries without serialization errors.

• ff5eba1: feat: roll image-* tool output types into their equivalent file-* types

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