@ai-sdk/azure - npm Package Compare versions

Comparing version 4.0.0-beta.5 to 4.0.0-beta.6

CHANGELOG.md

 # @ai-sdk/azure
 
+## 4.0.0-beta.6
+
+### Patch Changes
+
+- 83f9d04: feat(openai): upgrade v3 specs to v4
+- Updated dependencies [83f9d04]
+  - @ai-sdk/openai@4.0.0-beta.6
+
 ## 4.0.0-beta.5
@@ -4,0 +12,0 @@

dist/index.d.mts

 export { OpenAILanguageModelChatOptions as OpenAIChatLanguageModelOptions, OpenAILanguageModelChatOptions, OpenAILanguageModelResponsesOptions, OpenAILanguageModelResponsesOptions as OpenAIResponsesProviderOptions } from '@ai-sdk/openai';
-import { ProviderV3, LanguageModelV3, EmbeddingModelV3, ImageModelV3, TranscriptionModelV3, SpeechModelV3 } from '@ai-sdk/provider';
+import { ProviderV4, LanguageModelV4, EmbeddingModelV4, ImageModelV4, TranscriptionModelV4, SpeechModelV4 } from '@ai-sdk/provider';
 import { FetchFunction } from '@ai-sdk/provider-utils';
@@ -13,52 +13,52 @@ import { codeInterpreter, fileSearch, imageGeneration, webSearchPreview, ResponsesProviderMetadata, ResponsesReasoningProviderMetadata, ResponsesTextProviderMetadata, ResponsesSourceDocumentProviderMetadata } from '@ai-sdk/openai/internal';
 
-interface AzureOpenAIProvider extends ProviderV3 {
-    (deploymentId: string): LanguageModelV3;
+interface AzureOpenAIProvider extends ProviderV4 {
+    (deploymentId: string): LanguageModelV4;
     /**
      * Creates an Azure OpenAI responses API model for text generation.
      */
-    languageModel(deploymentId: string): LanguageModelV3;
+    languageModel(deploymentId: string): LanguageModelV4;
     /**
      * Creates an Azure OpenAI chat model for text generation.
      */
-    chat(deploymentId: string): LanguageModelV3;
+    chat(deploymentId: string): LanguageModelV4;
     /**
      * Creates an Azure OpenAI responses API model for text generation.
      */
-    responses(deploymentId: string): LanguageModelV3;
+    responses(deploymentId: string): LanguageModelV4;
     /**
      * Creates an Azure OpenAI completion model for text generation.
      */
-    completion(deploymentId: string): LanguageModelV3;
+    completion(deploymentId: string): LanguageModelV4;
     /**
      * Creates an Azure OpenAI model for text embeddings.
      */
-    embedding(deploymentId: string): EmbeddingModelV3;
+    embedding(deploymentId: string): EmbeddingModelV4;
     /**
      * Creates an Azure OpenAI model for text embeddings.
      */
-    embeddingModel(deploymentId: string): EmbeddingModelV3;
+    embeddingModel(deploymentId: string): EmbeddingModelV4;
     /**
      * @deprecated Use `embedding` instead.
      */
-    textEmbedding(deploymentId: string): EmbeddingModelV3;
+    textEmbedding(deploymentId: string): EmbeddingModelV4;
     /**
      * @deprecated Use `embeddingModel` instead.
      */
-    textEmbeddingModel(deploymentId: string): EmbeddingModelV3;
+    textEmbeddingModel(deploymentId: string): EmbeddingModelV4;
     /**
      * Creates an Azure OpenAI DALL-E model for image generation.
      */
-    image(deploymentId: string): ImageModelV3;
+    image(deploymentId: string): ImageModelV4;
     /**
      * Creates an Azure OpenAI DALL-E model for image generation.
      */
-    imageModel(deploymentId: string): ImageModelV3;
+    imageModel(deploymentId: string): ImageModelV4;
     /**
      * Creates an Azure OpenAI model for audio transcription.
      */
-    transcription(deploymentId: string): TranscriptionModelV3;
+    transcription(deploymentId: string): TranscriptionModelV4;
     /**
      * Creates an Azure OpenAI model for speech generation.
      */
-    speech(deploymentId: string): SpeechModelV3;
+    speech(deploymentId: string): SpeechModelV4;
     /**
@@ -65,0 +65,0 @@ * AzureOpenAI-specific tools.

dist/index.d.ts

 export { OpenAILanguageModelChatOptions as OpenAIChatLanguageModelOptions, OpenAILanguageModelChatOptions, OpenAILanguageModelResponsesOptions, OpenAILanguageModelResponsesOptions as OpenAIResponsesProviderOptions } from '@ai-sdk/openai';
-import { ProviderV3, LanguageModelV3, EmbeddingModelV3, ImageModelV3, TranscriptionModelV3, SpeechModelV3 } from '@ai-sdk/provider';
+import { ProviderV4, LanguageModelV4, EmbeddingModelV4, ImageModelV4, TranscriptionModelV4, SpeechModelV4 } from '@ai-sdk/provider';
 import { FetchFunction } from '@ai-sdk/provider-utils';
@@ -13,52 +13,52 @@ import { codeInterpreter, fileSearch, imageGeneration, webSearchPreview, ResponsesProviderMetadata, ResponsesReasoningProviderMetadata, ResponsesTextProviderMetadata, ResponsesSourceDocumentProviderMetadata } from '@ai-sdk/openai/internal';
 
-interface AzureOpenAIProvider extends ProviderV3 {
-    (deploymentId: string): LanguageModelV3;
+interface AzureOpenAIProvider extends ProviderV4 {
+    (deploymentId: string): LanguageModelV4;
     /**
      * Creates an Azure OpenAI responses API model for text generation.
      */
-    languageModel(deploymentId: string): LanguageModelV3;
+    languageModel(deploymentId: string): LanguageModelV4;
     /**
      * Creates an Azure OpenAI chat model for text generation.
      */
-    chat(deploymentId: string): LanguageModelV3;
+    chat(deploymentId: string): LanguageModelV4;
     /**
      * Creates an Azure OpenAI responses API model for text generation.
      */
-    responses(deploymentId: string): LanguageModelV3;
+    responses(deploymentId: string): LanguageModelV4;
     /**
      * Creates an Azure OpenAI completion model for text generation.
      */
-    completion(deploymentId: string): LanguageModelV3;
+    completion(deploymentId: string): LanguageModelV4;
     /**
      * Creates an Azure OpenAI model for text embeddings.
      */
-    embedding(deploymentId: string): EmbeddingModelV3;
+    embedding(deploymentId: string): EmbeddingModelV4;
     /**
      * Creates an Azure OpenAI model for text embeddings.
      */
-    embeddingModel(deploymentId: string): EmbeddingModelV3;
+    embeddingModel(deploymentId: string): EmbeddingModelV4;
     /**
      * @deprecated Use `embedding` instead.
      */
-    textEmbedding(deploymentId: string): EmbeddingModelV3;
+    textEmbedding(deploymentId: string): EmbeddingModelV4;
     /**
      * @deprecated Use `embeddingModel` instead.
      */
-    textEmbeddingModel(deploymentId: string): EmbeddingModelV3;
+    textEmbeddingModel(deploymentId: string): EmbeddingModelV4;
     /**
      * Creates an Azure OpenAI DALL-E model for image generation.
      */
-    image(deploymentId: string): ImageModelV3;
+    image(deploymentId: string): ImageModelV4;
     /**
      * Creates an Azure OpenAI DALL-E model for image generation.
      */
-    imageModel(deploymentId: string): ImageModelV3;
+    imageModel(deploymentId: string): ImageModelV4;
     /**
      * Creates an Azure OpenAI model for audio transcription.
      */
-    transcription(deploymentId: string): TranscriptionModelV3;
+    transcription(deploymentId: string): TranscriptionModelV4;
     /**
      * Creates an Azure OpenAI model for speech generation.
      */
-    speech(deploymentId: string): SpeechModelV3;
+    speech(deploymentId: string): SpeechModelV4;
     /**
@@ -65,0 +65,0 @@ * AzureOpenAI-specific tools.

dist/index.js

@@ -43,3 +43,3 @@ "use strict";
 // src/version.ts
-var VERSION = true ? "4.0.0-beta.5" : "0.0.0-test";
+var VERSION = true ? "4.0.0-beta.6" : "0.0.0-test";
 
@@ -130,3 +130,3 @@ // src/azure-openai-provider.ts
   };
-  provider.specificationVersion = "v3";
+  provider.specificationVersion = "v4";
   provider.languageModel = createResponsesModel;
@@ -133,0 +133,0 @@ provider.chat = createChatModel;

dist/index.js.map

@@ -1,1 +0,1 @@
-{"version":3,"sources":["../src/index.ts","../src/azure-openai-provider.ts","../src/azure-openai-tools.ts","../src/version.ts"],"sourcesContent":["export type {\n  OpenAILanguageModelResponsesOptions,\n  /** @deprecated Use `OpenAILanguageModelResponsesOptions` instead. */\n  OpenAILanguageModelResponsesOptions as OpenAIResponsesProviderOptions,\n  OpenAILanguageModelChatOptions,\n  /** @deprecated Use `OpenAILanguageModelChatOptions` instead. */\n  OpenAILanguageModelChatOptions as OpenAIChatLanguageModelOptions,\n} from '@ai-sdk/openai';\n\nexport { azure, createAzure } from './azure-openai-provider';\nexport type {\n  AzureOpenAIProvider,\n  AzureOpenAIProviderSettings,\n} from './azure-openai-provider';\nexport type {\n  AzureResponsesProviderMetadata,\n  AzureResponsesReasoningProviderMetadata,\n  AzureResponsesTextProviderMetadata,\n  AzureResponsesSourceDocumentProviderMetadata,\n} from './azure-openai-provider-metadata';\nexport { VERSION } from './version';\n","import {\n  OpenAIChatLanguageModel,\n  OpenAICompletionLanguageModel,\n  OpenAIEmbeddingModel,\n  OpenAIImageModel,\n  OpenAIResponsesLanguageModel,\n  OpenAISpeechModel,\n  OpenAITranscriptionModel,\n} from '@ai-sdk/openai/internal';\nimport {\n  EmbeddingModelV3,\n  LanguageModelV3,\n  ProviderV3,\n  ImageModelV3,\n  SpeechModelV3,\n  TranscriptionModelV3,\n} from '@ai-sdk/provider';\nimport {\n  FetchFunction,\n  loadApiKey,\n  loadSetting,\n  withUserAgentSuffix,\n} from '@ai-sdk/provider-utils';\nimport { azureOpenaiTools } from './azure-openai-tools';\nimport { VERSION } from './version';\n\nexport interface AzureOpenAIProvider extends ProviderV3 {\n  (deploymentId: string): LanguageModelV3;\n\n  /**\n   * Creates an Azure OpenAI responses API model for text generation.\n   */\n  languageModel(deploymentId: string): LanguageModelV3;\n\n  /**\n   * Creates an Azure OpenAI chat model for text generation.\n   */\n  chat(deploymentId: string): LanguageModelV3;\n\n  /**\n   * Creates an Azure OpenAI responses API model for text generation.\n   */\n  responses(deploymentId: string): LanguageModelV3;\n\n  /**\n   * Creates an Azure OpenAI completion model for text generation.\n   */\n  completion(deploymentId: string): LanguageModelV3;\n\n  /**\n   * Creates an Azure OpenAI model for text embeddings.\n   */\n  embedding(deploymentId: string): EmbeddingModelV3;\n\n  /**\n   * Creates an Azure OpenAI model for text embeddings.\n   */\n  embeddingModel(deploymentId: string): EmbeddingModelV3;\n\n  /**\n   * @deprecated Use `embedding` instead.\n   */\n  textEmbedding(deploymentId: string): EmbeddingModelV3;\n\n  /**\n   * @deprecated Use `embeddingModel` instead.\n   */\n  textEmbeddingModel(deploymentId: string): EmbeddingModelV3;\n\n  /**\n   * Creates an Azure OpenAI DALL-E model for image generation.\n   */\n  image(deploymentId: string): ImageModelV3;\n\n  /**\n   * Creates an Azure OpenAI DALL-E model for image generation.\n   */\n  imageModel(deploymentId: string): ImageModelV3;\n\n  /**\n   * Creates an Azure OpenAI model for audio transcription.\n   */\n  transcription(deploymentId: string): TranscriptionModelV3;\n\n  /**\n   * Creates an Azure OpenAI model for speech generation.\n   */\n  speech(deploymentId: string): SpeechModelV3;\n\n  /**\n   * AzureOpenAI-specific tools.\n   */\n  tools: typeof azureOpenaiTools;\n}\n\nexport interface AzureOpenAIProviderSettings {\n  /**\n   * Name of the Azure OpenAI resource. Either this or `baseURL` can be used.\n   *\n   * The resource name is used in the assembled URL: `https://{resourceName}.openai.azure.com/openai/v1{path}`.\n   */\n  resourceName?: string;\n\n  /**\n   * Use a different URL prefix for API calls, e.g. to use proxy servers. Either this or `resourceName` can be used.\n   * When a baseURL is provided, the resourceName is ignored.\n   *\n   * With a baseURL, the resolved URL is `{baseURL}/v1{path}`.\n   */\n  baseURL?: string;\n\n  /**\n   * API key for authenticating requests.\n   */\n  apiKey?: string;\n\n  /**\n   * Custom headers to include in the requests.\n   */\n  headers?: Record<string, string>;\n\n  /**\n   * Custom fetch implementation. You can use it as a middleware to intercept requests,\n   * or to provide a custom fetch implementation for e.g. testing.\n   */\n  fetch?: FetchFunction;\n\n  /**\n   * Custom api version to use. Defaults to `preview`.\n   */\n  apiVersion?: string;\n\n  /**\n   * Use deployment-based URLs for specific model types. 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'v1';\n\n  const url = ({ path, modelId }: { path: string; modelId: string }) => {\n    const baseUrlPrefix =\n      options.baseURL ?? `https://${getResourceName()}.openai.azure.com/openai`;\n\n    let fullUrl: URL;\n    if (options.useDeploymentBasedUrls) {\n      // Use deployment-based format for compatibility with certain Azure OpenAI models\n      fullUrl = new URL(`${baseUrlPrefix}/deployments/${modelId}${path}`);\n    } else {\n      // Use v1 API format - no deployment ID in URL\n      fullUrl = new URL(`${baseUrlPrefix}/v1${path}`);\n    }\n\n    fullUrl.searchParams.set('api-version', apiVersion);\n    return fullUrl.toString();\n  };\n\n  const createChatModel = (deploymentName: string) =>\n    new OpenAIChatLanguageModel(deploymentName, {\n      provider: 'azure.chat',\n      url,\n      headers: getHeaders,\n      fetch: options.fetch,\n    });\n\n  const createCompletionModel = (modelId: string) =>\n    new OpenAICompletionLanguageModel(modelId, {\n      provider: 'azure.completion',\n      url,\n      headers: getHeaders,\n      fetch: options.fetch,\n    });\n\n  const createEmbeddingModel = (modelId: string) =>\n    new OpenAIEmbeddingModel(modelId, {\n      provider: 'azure.embeddings',\n      headers: getHeaders,\n      url,\n      fetch: options.fetch,\n    });\n\n  const createResponsesModel = (modelId: string) =>\n    new OpenAIResponsesLanguageModel(modelId, {\n      provider: 'azure.responses',\n      url,\n      headers: getHeaders,\n      fetch: options.fetch,\n      fileIdPrefixes: ['assistant-'],\n    });\n\n  const createImageModel = (modelId: string) =>\n    new OpenAIImageModel(modelId, {\n      provider: 'azure.image',\n      url,\n      headers: getHeaders,\n      fetch: options.fetch,\n    });\n\n  const createTranscriptionModel = (modelId: string) =>\n    new OpenAITranscriptionModel(modelId, {\n      provider: 'azure.transcription',\n      url,\n      headers: getHeaders,\n      fetch: options.fetch,\n    });\n\n  const createSpeechModel = (modelId: string) =>\n    new OpenAISpeechModel(modelId, {\n      provider: 'azure.speech',\n      url,\n      headers: getHeaders,\n      fetch: options.fetch,\n    });\n\n  const provider = function (deploymentId: string) {\n    if (new.target) {\n      throw new Error(\n        'The Azure OpenAI model function cannot be called with the new keyword.',\n      );\n    }\n\n    return createResponsesModel(deploymentId);\n  };\n\n  provider.specificationVersion = 'v3' as const;\n  provider.languageModel = createResponsesModel;\n  provider.chat = createChatModel;\n  provider.completion = createCompletionModel;\n  provider.embedding = createEmbeddingModel;\n  provider.embeddingModel = createEmbeddingModel;\n  provider.textEmbedding = createEmbeddingModel;\n  provider.textEmbeddingModel = createEmbeddingModel;\n  provider.image = createImageModel;\n  provider.imageModel = createImageModel;\n  provider.responses = createResponsesModel;\n  provider.transcription = createTranscriptionModel;\n  provider.speech = createSpeechModel;\n  provider.tools = azureOpenaiTools;\n  return provider;\n}\n\n/**\n * Default Azure OpenAI provider instance.\n */\nexport const azure = createAzure();\n","import {\n  codeInterpreter,\n  fileSearch,\n  imageGeneration,\n  webSearchPreview,\n} from '@ai-sdk/openai/internal';\n\nexport const azureOpenaiTools: {\n  codeInterpreter: typeof codeInterpreter;\n  fileSearch: typeof fileSearch;\n  imageGeneration: typeof imageGeneration;\n  webSearchPreview: typeof webSearchPreview;\n} = {\n  codeInterpreter,\n  fileSearch,\n  imageGeneration,\n  webSearchPreview,\n};\n","// Version string of this package injected at build time.\ndeclare const __PACKAGE_VERSION__: string | undefined;\nexport const VERSION: string =\n  typeof __PACKAGE_VERSION__ !== 'undefined'\n    ? 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+{"version":3,"sources":["../src/index.ts","../src/azure-openai-provider.ts","../src/azure-openai-tools.ts","../src/version.ts"],"sourcesContent":["export type {\n  OpenAILanguageModelResponsesOptions,\n  /** @deprecated Use `OpenAILanguageModelResponsesOptions` instead. */\n  OpenAILanguageModelResponsesOptions as OpenAIResponsesProviderOptions,\n  OpenAILanguageModelChatOptions,\n  /** @deprecated Use `OpenAILanguageModelChatOptions` instead. */\n  OpenAILanguageModelChatOptions as OpenAIChatLanguageModelOptions,\n} from '@ai-sdk/openai';\n\nexport { azure, createAzure } from './azure-openai-provider';\nexport type {\n  AzureOpenAIProvider,\n  AzureOpenAIProviderSettings,\n} from './azure-openai-provider';\nexport type {\n  AzureResponsesProviderMetadata,\n  AzureResponsesReasoningProviderMetadata,\n  AzureResponsesTextProviderMetadata,\n  AzureResponsesSourceDocumentProviderMetadata,\n} from './azure-openai-provider-metadata';\nexport { VERSION } from './version';\n","import {\n  OpenAIChatLanguageModel,\n  OpenAICompletionLanguageModel,\n  OpenAIEmbeddingModel,\n  OpenAIImageModel,\n  OpenAIResponsesLanguageModel,\n  OpenAISpeechModel,\n  OpenAITranscriptionModel,\n} from '@ai-sdk/openai/internal';\nimport {\n  EmbeddingModelV4,\n  LanguageModelV4,\n  ProviderV4,\n  ImageModelV4,\n  SpeechModelV4,\n  TranscriptionModelV4,\n} from '@ai-sdk/provider';\nimport {\n  FetchFunction,\n  loadApiKey,\n  loadSetting,\n  withUserAgentSuffix,\n} from '@ai-sdk/provider-utils';\nimport { azureOpenaiTools } from './azure-openai-tools';\nimport { VERSION } from './version';\n\nexport interface AzureOpenAIProvider extends ProviderV4 {\n  (deploymentId: string): LanguageModelV4;\n\n  /**\n   * Creates an Azure OpenAI responses API model for text generation.\n   */\n  languageModel(deploymentId: string): LanguageModelV4;\n\n  /**\n   * Creates an Azure OpenAI chat model for text generation.\n   */\n  chat(deploymentId: string): LanguageModelV4;\n\n  /**\n   * Creates an Azure OpenAI responses API model for text generation.\n   */\n  responses(deploymentId: string): LanguageModelV4;\n\n  /**\n   * Creates an Azure OpenAI completion model for text generation.\n   */\n  completion(deploymentId: string): LanguageModelV4;\n\n  /**\n   * Creates an Azure OpenAI model for text embeddings.\n   */\n  embedding(deploymentId: string): EmbeddingModelV4;\n\n  /**\n   * Creates an Azure OpenAI model for text embeddings.\n   */\n  embeddingModel(deploymentId: string): EmbeddingModelV4;\n\n  /**\n   * @deprecated Use `embedding` instead.\n   */\n  textEmbedding(deploymentId: string): EmbeddingModelV4;\n\n  /**\n   * @deprecated Use `embeddingModel` instead.\n   */\n  textEmbeddingModel(deploymentId: string): EmbeddingModelV4;\n\n  /**\n   * Creates an Azure OpenAI DALL-E model for image generation.\n   */\n  image(deploymentId: string): ImageModelV4;\n\n  /**\n   * Creates an Azure OpenAI DALL-E model for image generation.\n   */\n  imageModel(deploymentId: string): ImageModelV4;\n\n  /**\n   * Creates an Azure OpenAI model for audio transcription.\n   */\n  transcription(deploymentId: string): TranscriptionModelV4;\n\n  /**\n   * Creates an Azure OpenAI model for speech generation.\n   */\n  speech(deploymentId: string): SpeechModelV4;\n\n  /**\n   * AzureOpenAI-specific tools.\n   */\n  tools: typeof azureOpenaiTools;\n}\n\nexport interface AzureOpenAIProviderSettings {\n  /**\n   * Name of the Azure OpenAI resource. Either this or `baseURL` can be used.\n   *\n   * The resource name is used in the assembled URL: `https://{resourceName}.openai.azure.com/openai/v1{path}`.\n   */\n  resourceName?: string;\n\n  /**\n   * Use a different URL prefix for API calls, e.g. to use proxy servers. Either this or `resourceName` can be used.\n   * When a baseURL is provided, the resourceName is ignored.\n   *\n   * With a baseURL, the resolved URL is `{baseURL}/v1{path}`.\n   */\n  baseURL?: string;\n\n  /**\n   * API key for authenticating requests.\n   */\n  apiKey?: string;\n\n  /**\n   * Custom headers to include in the requests.\n   */\n  headers?: Record<string, string>;\n\n  /**\n   * Custom fetch implementation. You can use it as a middleware to intercept requests,\n   * or to provide a custom fetch implementation for e.g. testing.\n   */\n  fetch?: FetchFunction;\n\n  /**\n   * Custom api version to use. Defaults to `preview`.\n   */\n  apiVersion?: string;\n\n  /**\n   * Use deployment-based URLs for specific model types. Set to true to use legacy deployment format:\n   * `{baseURL}/deployments/{deploymentId}{path}?api-version={apiVersion}` instead of\n   * `{baseURL}/v1{path}?api-version={apiVersion}`.\n   */\n  useDeploymentBasedUrls?: boolean;\n}\n\n/**\n * Create an Azure OpenAI provider instance.\n */\nexport function createAzure(\n  options: AzureOpenAIProviderSettings = {},\n): AzureOpenAIProvider {\n  const getHeaders = () => {\n    const baseHeaders = {\n      'api-key': loadApiKey({\n        apiKey: options.apiKey,\n        environmentVariableName: 'AZURE_API_KEY',\n        description: 'Azure OpenAI',\n      }),\n      ...options.headers,\n    };\n    return withUserAgentSuffix(baseHeaders, `ai-sdk/azure/${VERSION}`);\n  };\n\n  const getResourceName = () =>\n    loadSetting({\n      settingValue: options.resourceName,\n      settingName: 'resourceName',\n      environmentVariableName: 'AZURE_RESOURCE_NAME',\n      description: 'Azure OpenAI resource name',\n    });\n\n  const apiVersion = options.apiVersion ?? 'v1';\n\n  const url = ({ path, modelId }: { path: string; modelId: string }) => {\n    const baseUrlPrefix =\n      options.baseURL ?? `https://${getResourceName()}.openai.azure.com/openai`;\n\n    let fullUrl: URL;\n    if (options.useDeploymentBasedUrls) {\n      // Use deployment-based format for compatibility with certain Azure OpenAI models\n      fullUrl = new URL(`${baseUrlPrefix}/deployments/${modelId}${path}`);\n    } else {\n      // Use v1 API format - no deployment ID in URL\n      fullUrl = new URL(`${baseUrlPrefix}/v1${path}`);\n    }\n\n    fullUrl.searchParams.set('api-version', apiVersion);\n    return fullUrl.toString();\n  };\n\n  const createChatModel = (deploymentName: string) =>\n    new OpenAIChatLanguageModel(deploymentName, {\n      provider: 'azure.chat',\n      url,\n      headers: getHeaders,\n      fetch: options.fetch,\n    });\n\n  const createCompletionModel = (modelId: string) =>\n    new OpenAICompletionLanguageModel(modelId, {\n      provider: 'azure.completion',\n      url,\n      headers: getHeaders,\n      fetch: options.fetch,\n    });\n\n  const createEmbeddingModel = (modelId: string) =>\n    new OpenAIEmbeddingModel(modelId, {\n      provider: 'azure.embeddings',\n      headers: getHeaders,\n      url,\n      fetch: options.fetch,\n    });\n\n  const createResponsesModel = (modelId: string) =>\n    new OpenAIResponsesLanguageModel(modelId, {\n      provider: 'azure.responses',\n      url,\n      headers: getHeaders,\n      fetch: options.fetch,\n      fileIdPrefixes: ['assistant-'],\n    });\n\n  const createImageModel = (modelId: string) =>\n    new OpenAIImageModel(modelId, {\n      provider: 'azure.image',\n      url,\n      headers: getHeaders,\n      fetch: options.fetch,\n    });\n\n  const createTranscriptionModel = (modelId: string) =>\n    new OpenAITranscriptionModel(modelId, {\n      provider: 'azure.transcription',\n      url,\n      headers: getHeaders,\n      fetch: options.fetch,\n    });\n\n  const createSpeechModel = (modelId: string) =>\n    new OpenAISpeechModel(modelId, {\n      provider: 'azure.speech',\n      url,\n      headers: getHeaders,\n      fetch: options.fetch,\n    });\n\n  const provider = function (deploymentId: string) {\n    if (new.target) {\n      throw new Error(\n        'The Azure OpenAI model function cannot be called with the new keyword.',\n      );\n    }\n\n    return createResponsesModel(deploymentId);\n  };\n\n  provider.specificationVersion = 'v4' as const;\n  provider.languageModel = createResponsesModel;\n  provider.chat = createChatModel;\n  provider.completion = createCompletionModel;\n  provider.embedding = createEmbeddingModel;\n  provider.embeddingModel = createEmbeddingModel;\n  provider.textEmbedding = createEmbeddingModel;\n  provider.textEmbeddingModel = createEmbeddingModel;\n  provider.image = createImageModel;\n  provider.imageModel = createImageModel;\n  provider.responses = createResponsesModel;\n  provider.transcription = createTranscriptionModel;\n  provider.speech = createSpeechModel;\n  provider.tools = azureOpenaiTools;\n  return provider;\n}\n\n/**\n * Default Azure OpenAI provider instance.\n */\nexport const azure = createAzure();\n","import {\n  codeInterpreter,\n  fileSearch,\n  imageGeneration,\n  webSearchPreview,\n} from '@ai-sdk/openai/internal';\n\nexport const azureOpenaiTools: {\n  codeInterpreter: typeof codeInterpreter;\n  fileSearch: typeof fileSearch;\n  imageGeneration: typeof imageGeneration;\n  webSearchPreview: typeof webSearchPreview;\n} = {\n  codeInterpreter,\n  fileSearch,\n  imageGeneration,\n  webSearchPreview,\n};\n","// Version string of this package injected at build time.\ndeclare const __PACKAGE_VERSION__: string | undefined;\nexport const VERSION: string =\n  typeof __PACKAGE_VERSION__ !== 'undefined'\n    ? 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dist/index.mjs

@@ -32,3 +32,3 @@ // src/azure-openai-provider.ts
 // src/version.ts
-var VERSION = true ? "4.0.0-beta.5" : "0.0.0-test";
+var VERSION = true ? "4.0.0-beta.6" : "0.0.0-test";
 
@@ -119,3 +119,3 @@ // src/azure-openai-provider.ts
   };
-  provider.specificationVersion = "v3";
+  provider.specificationVersion = "v4";
   provider.languageModel = createResponsesModel;
@@ -122,0 +122,0 @@ provider.chat = createChatModel;

dist/index.mjs.map

@@ -1,1 +0,1 @@
-{"version":3,"sources":["../src/azure-openai-provider.ts","../src/azure-openai-tools.ts","../src/version.ts"],"sourcesContent":["import {\n  OpenAIChatLanguageModel,\n  OpenAICompletionLanguageModel,\n  OpenAIEmbeddingModel,\n  OpenAIImageModel,\n  OpenAIResponsesLanguageModel,\n  OpenAISpeechModel,\n  OpenAITranscriptionModel,\n} from '@ai-sdk/openai/internal';\nimport {\n  EmbeddingModelV3,\n  LanguageModelV3,\n  ProviderV3,\n  ImageModelV3,\n  SpeechModelV3,\n  TranscriptionModelV3,\n} from '@ai-sdk/provider';\nimport {\n  FetchFunction,\n  loadApiKey,\n  loadSetting,\n  withUserAgentSuffix,\n} from '@ai-sdk/provider-utils';\nimport { azureOpenaiTools } from './azure-openai-tools';\nimport { VERSION } from './version';\n\nexport interface AzureOpenAIProvider extends ProviderV3 {\n  (deploymentId: string): LanguageModelV3;\n\n  /**\n   * Creates an Azure OpenAI responses API model for text generation.\n   */\n  languageModel(deploymentId: string): LanguageModelV3;\n\n  /**\n   * Creates an Azure OpenAI chat model for text generation.\n   */\n  chat(deploymentId: string): LanguageModelV3;\n\n  /**\n   * Creates an Azure OpenAI responses API model for text generation.\n   */\n  responses(deploymentId: string): LanguageModelV3;\n\n  /**\n   * Creates an Azure OpenAI completion model for text generation.\n   */\n  completion(deploymentId: string): LanguageModelV3;\n\n  /**\n   * Creates an Azure OpenAI model for text embeddings.\n   */\n  embedding(deploymentId: string): EmbeddingModelV3;\n\n  /**\n   * Creates an Azure OpenAI model for text embeddings.\n   */\n  embeddingModel(deploymentId: string): EmbeddingModelV3;\n\n  /**\n   * @deprecated Use `embedding` instead.\n   */\n  textEmbedding(deploymentId: string): EmbeddingModelV3;\n\n  /**\n   * @deprecated Use `embeddingModel` instead.\n   */\n  textEmbeddingModel(deploymentId: string): EmbeddingModelV3;\n\n  /**\n   * Creates an Azure OpenAI DALL-E model for image generation.\n   */\n  image(deploymentId: string): ImageModelV3;\n\n  /**\n   * Creates an Azure OpenAI DALL-E model for image generation.\n   */\n  imageModel(deploymentId: string): ImageModelV3;\n\n  /**\n   * Creates an Azure OpenAI model for audio transcription.\n   */\n  transcription(deploymentId: string): TranscriptionModelV3;\n\n  /**\n   * Creates an Azure OpenAI model for speech generation.\n   */\n  speech(deploymentId: string): SpeechModelV3;\n\n  /**\n   * AzureOpenAI-specific tools.\n   */\n  tools: typeof azureOpenaiTools;\n}\n\nexport interface AzureOpenAIProviderSettings {\n  /**\n   * Name of the Azure OpenAI resource. Either this or `baseURL` can be used.\n   *\n   * The resource name is used in the assembled URL: `https://{resourceName}.openai.azure.com/openai/v1{path}`.\n   */\n  resourceName?: string;\n\n  /**\n   * Use a different URL prefix for API calls, e.g. to use proxy servers. Either this or `resourceName` can be used.\n   * When a baseURL is provided, the resourceName is ignored.\n   *\n   * With a baseURL, the resolved URL is `{baseURL}/v1{path}`.\n   */\n  baseURL?: string;\n\n  /**\n   * API key for authenticating requests.\n   */\n  apiKey?: string;\n\n  /**\n   * Custom headers to include in the requests.\n   */\n  headers?: Record<string, string>;\n\n  /**\n   * Custom fetch implementation. You can use it as a middleware to intercept requests,\n   * or to provide a custom fetch implementation for e.g. testing.\n   */\n  fetch?: FetchFunction;\n\n  /**\n   * Custom api version to use. Defaults to `preview`.\n   */\n  apiVersion?: string;\n\n  /**\n   * Use deployment-based URLs for specific model types. Set to true to use legacy deployment format:\n   * `{baseURL}/deployments/{deploymentId}{path}?api-version={apiVersion}` instead of\n   * `{baseURL}/v1{path}?api-version={apiVersion}`.\n   */\n  useDeploymentBasedUrls?: boolean;\n}\n\n/**\n * Create an Azure OpenAI provider instance.\n */\nexport function createAzure(\n  options: AzureOpenAIProviderSettings = {},\n): AzureOpenAIProvider {\n  const getHeaders = () => {\n    const baseHeaders = {\n      'api-key': loadApiKey({\n        apiKey: options.apiKey,\n        environmentVariableName: 'AZURE_API_KEY',\n        description: 'Azure OpenAI',\n      }),\n      ...options.headers,\n    };\n    return withUserAgentSuffix(baseHeaders, `ai-sdk/azure/${VERSION}`);\n  };\n\n  const getResourceName = () =>\n    loadSetting({\n      settingValue: options.resourceName,\n      settingName: 'resourceName',\n      environmentVariableName: 'AZURE_RESOURCE_NAME',\n      description: 'Azure OpenAI resource name',\n    });\n\n  const apiVersion = options.apiVersion ?? 'v1';\n\n  const url = ({ path, modelId }: { path: string; modelId: string }) => {\n    const baseUrlPrefix =\n      options.baseURL ?? `https://${getResourceName()}.openai.azure.com/openai`;\n\n    let fullUrl: URL;\n    if (options.useDeploymentBasedUrls) {\n      // Use deployment-based format for compatibility with certain Azure OpenAI models\n      fullUrl = new URL(`${baseUrlPrefix}/deployments/${modelId}${path}`);\n    } else {\n      // Use v1 API format - no deployment ID in URL\n      fullUrl = new URL(`${baseUrlPrefix}/v1${path}`);\n    }\n\n    fullUrl.searchParams.set('api-version', apiVersion);\n    return fullUrl.toString();\n  };\n\n  const createChatModel = (deploymentName: string) =>\n    new OpenAIChatLanguageModel(deploymentName, {\n      provider: 'azure.chat',\n      url,\n      headers: getHeaders,\n      fetch: options.fetch,\n    });\n\n  const createCompletionModel = (modelId: string) =>\n    new OpenAICompletionLanguageModel(modelId, {\n      provider: 'azure.completion',\n      url,\n      headers: getHeaders,\n      fetch: options.fetch,\n    });\n\n  const createEmbeddingModel = (modelId: string) =>\n    new OpenAIEmbeddingModel(modelId, {\n      provider: 'azure.embeddings',\n      headers: getHeaders,\n      url,\n      fetch: options.fetch,\n    });\n\n  const createResponsesModel = (modelId: string) =>\n    new OpenAIResponsesLanguageModel(modelId, {\n      provider: 'azure.responses',\n      url,\n      headers: getHeaders,\n      fetch: options.fetch,\n      fileIdPrefixes: ['assistant-'],\n    });\n\n  const createImageModel = (modelId: string) =>\n    new OpenAIImageModel(modelId, {\n      provider: 'azure.image',\n      url,\n      headers: getHeaders,\n      fetch: options.fetch,\n    });\n\n  const createTranscriptionModel = (modelId: string) =>\n    new OpenAITranscriptionModel(modelId, {\n      provider: 'azure.transcription',\n      url,\n      headers: getHeaders,\n      fetch: options.fetch,\n    });\n\n  const createSpeechModel = (modelId: string) =>\n    new OpenAISpeechModel(modelId, {\n      provider: 'azure.speech',\n      url,\n      headers: getHeaders,\n      fetch: options.fetch,\n    });\n\n  const provider = function (deploymentId: string) {\n    if (new.target) {\n      throw new Error(\n        'The Azure OpenAI model function cannot be called with the new keyword.',\n      );\n    }\n\n    return createResponsesModel(deploymentId);\n  };\n\n  provider.specificationVersion = 'v3' as const;\n  provider.languageModel = createResponsesModel;\n  provider.chat = createChatModel;\n  provider.completion = createCompletionModel;\n  provider.embedding = createEmbeddingModel;\n  provider.embeddingModel = createEmbeddingModel;\n  provider.textEmbedding = createEmbeddingModel;\n  provider.textEmbeddingModel = createEmbeddingModel;\n  provider.image = createImageModel;\n  provider.imageModel = createImageModel;\n  provider.responses = createResponsesModel;\n  provider.transcription = createTranscriptionModel;\n  provider.speech = createSpeechModel;\n  provider.tools = azureOpenaiTools;\n  return provider;\n}\n\n/**\n * Default Azure OpenAI provider instance.\n */\nexport const azure = createAzure();\n","import {\n  codeInterpreter,\n  fileSearch,\n  imageGeneration,\n  webSearchPreview,\n} from '@ai-sdk/openai/internal';\n\nexport const azureOpenaiTools: {\n  codeInterpreter: typeof codeInterpreter;\n  fileSearch: typeof fileSearch;\n  imageGeneration: typeof imageGeneration;\n  webSearchPreview: typeof webSearchPreview;\n} = {\n  codeInterpreter,\n  fileSearch,\n  imageGeneration,\n  webSearchPreview,\n};\n","// Version string of this package injected at build time.\ndeclare const __PACKAGE_VERSION__: string | undefined;\nexport const VERSION: string =\n  typeof __PACKAGE_VERSION__ !== 'undefined'\n    ? 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+{"version":3,"sources":["../src/azure-openai-provider.ts","../src/azure-openai-tools.ts","../src/version.ts"],"sourcesContent":["import {\n  OpenAIChatLanguageModel,\n  OpenAICompletionLanguageModel,\n  OpenAIEmbeddingModel,\n  OpenAIImageModel,\n  OpenAIResponsesLanguageModel,\n  OpenAISpeechModel,\n  OpenAITranscriptionModel,\n} from '@ai-sdk/openai/internal';\nimport {\n  EmbeddingModelV4,\n  LanguageModelV4,\n  ProviderV4,\n  ImageModelV4,\n  SpeechModelV4,\n  TranscriptionModelV4,\n} from '@ai-sdk/provider';\nimport {\n  FetchFunction,\n  loadApiKey,\n  loadSetting,\n  withUserAgentSuffix,\n} from '@ai-sdk/provider-utils';\nimport { azureOpenaiTools } from './azure-openai-tools';\nimport { VERSION } from './version';\n\nexport interface AzureOpenAIProvider extends ProviderV4 {\n  (deploymentId: string): LanguageModelV4;\n\n  /**\n   * Creates an Azure OpenAI responses API model for text generation.\n   */\n  languageModel(deploymentId: string): LanguageModelV4;\n\n  /**\n   * Creates an Azure OpenAI chat model for text generation.\n   */\n  chat(deploymentId: string): LanguageModelV4;\n\n  /**\n   * Creates an Azure OpenAI responses API model for text generation.\n   */\n  responses(deploymentId: string): LanguageModelV4;\n\n  /**\n   * Creates an Azure OpenAI completion model for text generation.\n   */\n  completion(deploymentId: string): LanguageModelV4;\n\n  /**\n   * Creates an Azure OpenAI model for text embeddings.\n   */\n  embedding(deploymentId: string): EmbeddingModelV4;\n\n  /**\n   * Creates an Azure OpenAI model for text embeddings.\n   */\n  embeddingModel(deploymentId: string): EmbeddingModelV4;\n\n  /**\n   * @deprecated Use `embedding` instead.\n   */\n  textEmbedding(deploymentId: string): EmbeddingModelV4;\n\n  /**\n   * @deprecated Use `embeddingModel` instead.\n   */\n  textEmbeddingModel(deploymentId: string): EmbeddingModelV4;\n\n  /**\n   * Creates an Azure OpenAI DALL-E model for image generation.\n   */\n  image(deploymentId: string): ImageModelV4;\n\n  /**\n   * Creates an Azure OpenAI DALL-E model for image generation.\n   */\n  imageModel(deploymentId: string): ImageModelV4;\n\n  /**\n   * Creates an Azure OpenAI model for audio transcription.\n   */\n  transcription(deploymentId: string): TranscriptionModelV4;\n\n  /**\n   * Creates an Azure OpenAI model for speech generation.\n   */\n  speech(deploymentId: string): SpeechModelV4;\n\n  /**\n   * AzureOpenAI-specific tools.\n   */\n  tools: typeof azureOpenaiTools;\n}\n\nexport interface AzureOpenAIProviderSettings {\n  /**\n   * Name of the Azure OpenAI resource. Either this or `baseURL` can be used.\n   *\n   * The resource name is used in the assembled URL: `https://{resourceName}.openai.azure.com/openai/v1{path}`.\n   */\n  resourceName?: string;\n\n  /**\n   * Use a different URL prefix for API calls, e.g. to use proxy servers. Either this or `resourceName` can be used.\n   * When a baseURL is provided, the resourceName is ignored.\n   *\n   * With a baseURL, the resolved URL is `{baseURL}/v1{path}`.\n   */\n  baseURL?: string;\n\n  /**\n   * API key for authenticating requests.\n   */\n  apiKey?: string;\n\n  /**\n   * Custom headers to include in the requests.\n   */\n  headers?: Record<string, string>;\n\n  /**\n   * Custom fetch implementation. You can use it as a middleware to intercept requests,\n   * or to provide a custom fetch implementation for e.g. testing.\n   */\n  fetch?: FetchFunction;\n\n  /**\n   * Custom api version to use. Defaults to `preview`.\n   */\n  apiVersion?: string;\n\n  /**\n   * Use deployment-based URLs for specific model types. Set to true to use legacy deployment format:\n   * `{baseURL}/deployments/{deploymentId}{path}?api-version={apiVersion}` instead of\n   * `{baseURL}/v1{path}?api-version={apiVersion}`.\n   */\n  useDeploymentBasedUrls?: boolean;\n}\n\n/**\n * Create an Azure OpenAI provider instance.\n */\nexport function createAzure(\n  options: AzureOpenAIProviderSettings = {},\n): AzureOpenAIProvider {\n  const getHeaders = () => {\n    const baseHeaders = {\n      'api-key': loadApiKey({\n        apiKey: options.apiKey,\n        environmentVariableName: 'AZURE_API_KEY',\n        description: 'Azure OpenAI',\n      }),\n      ...options.headers,\n    };\n    return withUserAgentSuffix(baseHeaders, `ai-sdk/azure/${VERSION}`);\n  };\n\n  const getResourceName = () =>\n    loadSetting({\n      settingValue: options.resourceName,\n      settingName: 'resourceName',\n      environmentVariableName: 'AZURE_RESOURCE_NAME',\n      description: 'Azure OpenAI resource name',\n    });\n\n  const apiVersion = options.apiVersion ?? 'v1';\n\n  const url = ({ path, modelId }: { path: string; modelId: string }) => {\n    const baseUrlPrefix =\n      options.baseURL ?? `https://${getResourceName()}.openai.azure.com/openai`;\n\n    let fullUrl: URL;\n    if (options.useDeploymentBasedUrls) {\n      // Use deployment-based format for compatibility with certain Azure OpenAI models\n      fullUrl = new URL(`${baseUrlPrefix}/deployments/${modelId}${path}`);\n    } else {\n      // Use v1 API format - no deployment ID in URL\n      fullUrl = new URL(`${baseUrlPrefix}/v1${path}`);\n    }\n\n    fullUrl.searchParams.set('api-version', apiVersion);\n    return fullUrl.toString();\n  };\n\n  const createChatModel = (deploymentName: string) =>\n    new OpenAIChatLanguageModel(deploymentName, {\n      provider: 'azure.chat',\n      url,\n      headers: getHeaders,\n      fetch: options.fetch,\n    });\n\n  const createCompletionModel = (modelId: string) =>\n    new OpenAICompletionLanguageModel(modelId, {\n      provider: 'azure.completion',\n      url,\n      headers: getHeaders,\n      fetch: options.fetch,\n    });\n\n  const createEmbeddingModel = (modelId: string) =>\n    new OpenAIEmbeddingModel(modelId, {\n      provider: 'azure.embeddings',\n      headers: getHeaders,\n      url,\n      fetch: options.fetch,\n    });\n\n  const createResponsesModel = (modelId: string) =>\n    new OpenAIResponsesLanguageModel(modelId, {\n      provider: 'azure.responses',\n      url,\n      headers: getHeaders,\n      fetch: options.fetch,\n      fileIdPrefixes: ['assistant-'],\n    });\n\n  const createImageModel = (modelId: string) =>\n    new OpenAIImageModel(modelId, {\n      provider: 'azure.image',\n      url,\n      headers: getHeaders,\n      fetch: options.fetch,\n    });\n\n  const createTranscriptionModel = (modelId: string) =>\n    new OpenAITranscriptionModel(modelId, {\n      provider: 'azure.transcription',\n      url,\n      headers: getHeaders,\n      fetch: options.fetch,\n    });\n\n  const createSpeechModel = (modelId: string) =>\n    new OpenAISpeechModel(modelId, {\n      provider: 'azure.speech',\n      url,\n      headers: getHeaders,\n      fetch: options.fetch,\n    });\n\n  const provider = function (deploymentId: string) {\n    if (new.target) {\n      throw new Error(\n        'The Azure OpenAI model function cannot be called with the new keyword.',\n      );\n    }\n\n    return createResponsesModel(deploymentId);\n  };\n\n  provider.specificationVersion = 'v4' as const;\n  provider.languageModel = createResponsesModel;\n  provider.chat = createChatModel;\n  provider.completion = createCompletionModel;\n  provider.embedding = createEmbeddingModel;\n  provider.embeddingModel = createEmbeddingModel;\n  provider.textEmbedding = createEmbeddingModel;\n  provider.textEmbeddingModel = createEmbeddingModel;\n  provider.image = createImageModel;\n  provider.imageModel = createImageModel;\n  provider.responses = createResponsesModel;\n  provider.transcription = createTranscriptionModel;\n  provider.speech = createSpeechModel;\n  provider.tools = azureOpenaiTools;\n  return provider;\n}\n\n/**\n * Default Azure OpenAI provider instance.\n */\nexport const azure = createAzure();\n","import {\n  codeInterpreter,\n  fileSearch,\n  imageGeneration,\n  webSearchPreview,\n} from '@ai-sdk/openai/internal';\n\nexport const azureOpenaiTools: {\n  codeInterpreter: typeof codeInterpreter;\n  fileSearch: typeof fileSearch;\n  imageGeneration: typeof imageGeneration;\n  webSearchPreview: typeof webSearchPreview;\n} = {\n  codeInterpreter,\n  fileSearch,\n  imageGeneration,\n  webSearchPreview,\n};\n","// Version string of this package injected at build time.\ndeclare const __PACKAGE_VERSION__: string | undefined;\nexport const VERSION: string =\n  typeof __PACKAGE_VERSION__ !== 'undefined'\n    ? 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package.json

 {
   "name": "@ai-sdk/azure",
-  "version": "4.0.0-beta.5",
+  "version": "4.0.0-beta.6",
   "license": "Apache-2.0",
@@ -32,3 +32,3 @@ "sideEffects": false,
   "dependencies": {
-    "@ai-sdk/openai": "4.0.0-beta.5",
+    "@ai-sdk/openai": "4.0.0-beta.6",
     "@ai-sdk/provider": "4.0.0-beta.0",
@@ -35,0 +35,0 @@ "@ai-sdk/provider-utils": "5.0.0-beta.1"

src/azure-openai-provider.ts

@@ -11,8 +11,8 @@ import {
 import {
-  EmbeddingModelV3,
-  LanguageModelV3,
-  ProviderV3,
-  ImageModelV3,
-  SpeechModelV3,
-  TranscriptionModelV3,
+  EmbeddingModelV4,
+  LanguageModelV4,
+  ProviderV4,
+  ImageModelV4,
+  SpeechModelV4,
+  TranscriptionModelV4,
 } from '@ai-sdk/provider';
@@ -28,4 +28,4 @@ import {
 
-export interface AzureOpenAIProvider extends ProviderV3 {
-  (deploymentId: string): LanguageModelV3;
+export interface AzureOpenAIProvider extends ProviderV4 {
+  (deploymentId: string): LanguageModelV4;
 
@@ -35,3 +35,3 @@ /**
    */
-  languageModel(deploymentId: string): LanguageModelV3;
+  languageModel(deploymentId: string): LanguageModelV4;
 
@@ -41,3 +41,3 @@ /**
    */
-  chat(deploymentId: string): LanguageModelV3;
+  chat(deploymentId: string): LanguageModelV4;
 
@@ -47,3 +47,3 @@ /**
    */
-  responses(deploymentId: string): LanguageModelV3;
+  responses(deploymentId: string): LanguageModelV4;
 
@@ -53,3 +53,3 @@ /**
    */
-  completion(deploymentId: string): LanguageModelV3;
+  completion(deploymentId: string): LanguageModelV4;
 
@@ -59,3 +59,3 @@ /**
    */
-  embedding(deploymentId: string): EmbeddingModelV3;
+  embedding(deploymentId: string): EmbeddingModelV4;
 
@@ -65,3 +65,3 @@ /**
    */
-  embeddingModel(deploymentId: string): EmbeddingModelV3;
+  embeddingModel(deploymentId: string): EmbeddingModelV4;
 
@@ -71,3 +71,3 @@ /**
    */
-  textEmbedding(deploymentId: string): EmbeddingModelV3;
+  textEmbedding(deploymentId: string): EmbeddingModelV4;
 
@@ -77,3 +77,3 @@ /**
    */
-  textEmbeddingModel(deploymentId: string): EmbeddingModelV3;
+  textEmbeddingModel(deploymentId: string): EmbeddingModelV4;
 
@@ -83,3 +83,3 @@ /**
    */
-  image(deploymentId: string): ImageModelV3;
+  image(deploymentId: string): ImageModelV4;
 
@@ -89,3 +89,3 @@ /**
    */
-  imageModel(deploymentId: string): ImageModelV3;
+  imageModel(deploymentId: string): ImageModelV4;
 
@@ -95,3 +95,3 @@ /**
    */
-  transcription(deploymentId: string): TranscriptionModelV3;
+  transcription(deploymentId: string): TranscriptionModelV4;
 
@@ -101,3 +101,3 @@ /**
    */
-  speech(deploymentId: string): SpeechModelV3;
+  speech(deploymentId: string): SpeechModelV4;
 
@@ -267,3 +267,3 @@ /**
 
-  provider.specificationVersion = 'v3' as const;
+  provider.specificationVersion = 'v4' as const;
   provider.languageModel = createResponsesModel;
@@ -270,0 +270,0 @@ provider.chat = createChatModel;

New alerts

Network access

Supply chain risk

This module accesses the network.

Found 1 instance in 1 package

Fixed alerts

Network access

Supply chain risk

This module accesses the network.

Found 1 instance in 1 package

Improved metrics

Total package byte prevSize

145751

0.1%

Dependency changes

• + Added

  @ai-sdk/openai@4.0.0-beta.6
  (transitive)

• - Removed

  @ai-sdk/openai@4.0.0-beta.5
  (transitive)

• Updated

  @ai-sdk/openai@4.0.0-beta.6