fix(deps): update dependency @ai-sdk/react to v2 #153
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This PR contains the following updates:
1.2.12->2.0.22Release Notes
vercel/ai (@ai-sdk/react)
v2.0.22Compare Source
Patch Changes
v2.0.21Compare Source
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581abea]0857788]3c178ec]v2.0.20Compare Source
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8a87693]v2.0.19Compare Source
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0857788]v2.0.18Compare Source
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5e47d00: Support Responses API input_file file_url passthrough for PDFs.This adds:
v2.0.17Compare Source
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70bb696: fix(provider/openai): correct web search tool inputv2.0.16Compare Source
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68751f9]v2.0.15Compare Source
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a4bef93: feat(provider/openai): expose web search queries in responses api6ed34cb: refactor(openai): consolidate model config intogetResponsesModelConfig()#8038
v2.0.14Compare Source
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7f47105: fix(provider/openai): support file_citation annotations in responses apiv2.0.13Compare Source
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72757a0: feat (provider/groq): add service tier provider optionv2.0.12Compare Source
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ec336a1: feat(provider/openai): add response_format to be supported by default2935ec7: fix(provider/openai): exclude gpt-5-chat from reasoning model034e229]f25040d]v2.0.11Compare Source
Patch Changes
097b452: feat(openai, azure): add configurable file ID prefixes for Responses APIfileIdPrefixesoption to OpenAI Responses API configurationassistant-prefixed file IDs (replacing previousfile-prefix support)file-prefixfileIdPrefixesis undefined, gracefully falling back to base64 processing87cf954: feat(provider/openai): add support for prompt_cache_keya3d98a9: feat(provider/openai): add support for safety_identifier110d167: fix(openai): add missing file_search_call handlers in responses streaming8d3c747: chore(openai): remove deprecated GPT-4.5-preview models and improve autocomplete controlUpdated dependencies [
38ac190]v2.0.10Compare Source
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ff008b9: fix(groq): strip unsupportedreasoningfields for non-reasoning modelsv2.0.9Compare Source
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8f8a521: fix(providers): use convertToBase64 for Uint8Array image parts to produce valid data URLs; keep mediaType normalization and URL passthroughv2.0.8Compare Source
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57fb959: feat(openai): add verbosity parameter support for chat api2a3fbe6: allowminimalinreasoningEffortfor openai chatv2.0.7Compare Source
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68751f9]v2.0.6Compare Source
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034e229]f25040d]v2.0.5Compare Source
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6753a2e: feat(examples): add gpt-5 model examples and e2e tests6cba06a: feat (provider/openai): add reasoning model configv2.0.4Compare Source
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961dda1: add labels field to providerOptionsv2.0.3Compare Source
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90d212f]v2.0.2Compare Source
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63e2016: fix(openai): missing url citations from web search toolsv2.0.1Compare Source
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90d212f]v2.0.0Compare Source
Major Changes
d5f588f: AI SDK 5Patch Changes
78e7fa9: Add code execution provider defined toolf916255: feat (provider/google): add new gemini models19a4336: Expose raw usageMetadata returned from Google Generative AI in providerMetadata8af9e03: Added Image Models to the Google Provider for Imagen 3 Support1a635b5: update supportedUrls to only support native URL888b750: feat(providers/google): Add taskType support for Text Embedding Models3259565: feat (providers/google): add thinking config to provider optionse2aceaf: feat: add raw chunk supporteb173f1: chore (providers): remove model shorthand deprecation warnings6a16dcf: embed() now uses the single embeddings endpointNo code updates are needed.
This is to make sure that users are not ratelimited when using the batch endpoint, since many models have different limits for batch and single embeddings.
Eg: Google has a limit of 150 RPM for batch requests, and 1500 RPM for single requests.
Before, AI SDK would always use the batch endpoint, even for embed() calls, which led to ratelimits.
This does not have any breaking functionality and is fully tested :)
if (values.length > 1) {
const batchResult = await this.doEmbedBatch({
values,
options,
});
return batchResult;
}
26735b5: chore(embedding-model): add v2 interface5cf30ea: fix (provider/google): allow "OFF" for Google HarmBlockThreshold443d8ec: feat(embedding-model-v2): add response body fieldc68931f: Support tool schemas that allow additional properties (e.gz.record(z.string()))66962ed: fix(packages): export node10 compatible typesa313780: fix: omit system message for gemma modelsfd98925: chore(providers/google): update embedding model to use providerOptionscb787ac: fix: remove non-functional models7378473: chore(providers/google): switch to providerOptionsf07a6d4: fix(providers/google): accept nullish in safetyRatings75f03b1: Add Gemini 2.5 Flash Lite GA779d916: feat: add provider option schemas for vertex imagegen and google genai581a9be: fix (provider/google): prevent error when thinking signature is used2e06f14: feat (provider/google): Change to provider defined tools8e6b69d: feat(providers/google): Add support for Gemini 2.5 Pro and Gemini 2.5 Flash (now stable)42fcd32: feat(google): automatically handle system instructions for Gemma modelsd1a034f: feature: using Zod 4 for internal stufffd65bc6: chore(embedding-model-v2): rename rawResponse to response878bf45: removes (unsupported)additionalPropertiesfrom the Schema sent in the request payloads to Google APIs0f05690: Add gemini-embedding-001 model, add embedding provider options type export7badba2: fix(google): grounding streaming sources205077b: fix: improve Zod compatibilityf10304b: feat(tool-calling): don't require the user to have to pass parametersUpdated dependencies [
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c4df419]Configuration
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