@ai-sdk/anthropic - npm Package Compare versions

Comparing version 4.0.33 to 4.0.34

src/anthropic-messages-batch.ts

+import {
+  EmptyResponseBodyError,
+  InvalidArgumentError,
+  UnsupportedFunctionalityError,
+  type Experimental_BatchLanguageModelV4 as BatchLanguageModelV4,
+  type Experimental_BatchV4ItemResult as BatchV4ItemResult,
+  type Experimental_BatchV4OperationOptions as BatchV4OperationOptions,
+  type Experimental_BatchV4StartResult as BatchV4StartResult,
+  type Experimental_BatchV4Status as BatchV4Status,
+  type JSONObject,
+  type LanguageModelV4GenerateResult,
+  type SharedV4ProviderMetadata,
+} from '@ai-sdk/provider';
+import {
+  combineHeaders,
+  convertAsyncIteratorToReadableStream,
+  createJsonResponseHandler,
+  getFromApi,
+  lazySchema,
+  normalizeHeaders,
+  parseJSON,
+  parseProviderOptions,
+  postJsonToApi,
+  resolve,
+  safeValidateTypes,
+  WORKFLOW_DESERIALIZE,
+  WORKFLOW_SERIALIZE,
+  zodSchema,
+  type InferSchema,
+  type ResponseHandler,
+} from '@ai-sdk/provider-utils';
+import { z } from 'zod/v4';
+import {
+  anthropicResponseSchema,
+  type AnthropicReasoningMetadata,
+  type AnthropicResponseContextManagement,
+  type AnthropicStopDetails,
+} from './anthropic-api';
+import { anthropicFailedResponseHandler } from './anthropic-error';
+import {
+  AnthropicLanguageModel,
+  type AnthropicLanguageModelConfig,
+} from './anthropic-language-model';
+import {
+  anthropicLanguageModelOptions,
+  type AnthropicModelId,
+} from './anthropic-language-model-options';
+import type {
+  AnthropicMessageMetadata,
+  AnthropicUsageIteration,
+} from './anthropic-message-metadata';
+import { convertAnthropicUsage } from './convert-anthropic-usage';
+import { mapAnthropicStopReason } from './map-anthropic-stop-reason';
+
+const anthropicBatchRequestIdPattern = /^[A-Za-z0-9_-]{1,64}$/;
+
+const anthropicBatchProviderOptionsSchema = anthropicLanguageModelOptions.pick({
+  anthropicBeta: true,
+});
+
+type AnthropicBatchRequest = Parameters<
+  BatchLanguageModelV4['experimental_doStartBatch']
+>[0]['requests'][number];
+
+const anthropicBatchResponseSchema = lazySchema(() =>
+  zodSchema(
+    z.object({
+      id: z.string(),
+      type: z.literal('message_batch'),
+      processing_status: z.string(),
+      request_counts: z.object({
+        processing: z.number(),
+        succeeded: z.number(),
+        errored: z.number(),
+        canceled: z.number(),
+        expired: z.number(),
+      }),
+      created_at: z.string(),
+      expires_at: z.string(),
+      archived_at: z.string().nullish(),
+      results_url: z.string().nullish(),
+    }),
+  ),
+);
+
+type AnthropicBatchResponse = InferSchema<typeof anthropicBatchResponseSchema>;
+
+const anthropicBatchResultLineSchema = lazySchema(() =>
+  zodSchema(
+    z.object({
+      custom_id: z.string(),
+      result: z.discriminatedUnion('type', [
+        z.object({
+          type: z.literal('succeeded'),
+          message: z.unknown(),
+        }),
+        z.object({
+          type: z.literal('errored'),
+          error: z.object({
+            type: z.literal('error'),
+            error: z.object({
+              type: z.string(),
+              message: z.string(),
+            }),
+            request_id: z.string().nullish(),
+          }),
+        }),
+        z.object({ type: z.literal('canceled') }),
+        z.object({ type: z.literal('expired') }),
+      ]),
+    }),
+  ),
+);
+
+type AnthropicBatchResultLine = InferSchema<
+  typeof anthropicBatchResultLineSchema
+>;
+
+type AnthropicResponse = InferSchema<typeof anthropicResponseSchema>;
+
+export class AnthropicMessagesBatchLanguageModel
+  extends AnthropicLanguageModel
+  implements BatchLanguageModelV4
+{
+  static [WORKFLOW_SERIALIZE](model: AnthropicMessagesBatchLanguageModel) {
+    return AnthropicLanguageModel[WORKFLOW_SERIALIZE](model);
+  }
+
+  static [WORKFLOW_DESERIALIZE](options: {
+    modelId: AnthropicModelId;
+    config: AnthropicLanguageModelConfig;
+  }) {
+    return new AnthropicMessagesBatchLanguageModel(
+      options.modelId,
+      options.config,
+    );
+  }
+
+  constructor(modelId: AnthropicModelId, config: AnthropicLanguageModelConfig) {
+    super(modelId, config);
+  }
+
+  async experimental_doStartBatch({
+    requests,
+    providerOptions,
+    headers,
+    abortSignal,
+  }: Parameters<
+    BatchLanguageModelV4['experimental_doStartBatch']
+  >[0]): Promise<BatchV4StartResult> {
+    validateRequestIds(requests);
+
+    const explicitBatchBetas = new Set(
+      await getAnthropicBatchProviderBetas({
+        provider: this.config.provider,
+        providerOptions,
+      }),
+    );
+    const batchBetas = new Set(explicitBatchBetas);
+    const preparedRequests: Array<{
+      custom_id: string;
+      params: Record<string, unknown>;
+    }> = [];
+    const batchWarnings: BatchV4StartResult['warnings'] = [];
+
+    for (const request of requests) {
+      const requestBetas = await getAnthropicBatchProviderBetas({
+        provider: this.config.provider,
+        providerOptions: request.options.providerOptions,
+      });
+      if (requestBetas.length > 0) {
+        throw new UnsupportedFunctionalityError({
+          functionality: 'per-request providerOptions.anthropic.anthropicBeta',
+          message:
+            `Anthropic Message Batches do not support per-request betas ` +
+            `(request "${request.id}"). Set providerOptions.anthropic.anthropicBeta ` +
+            `on startTextBatch instead.`,
+        });
+      }
+
+      const prepared = await this.getArgs({
+        ...request.options,
+        stream: false,
+        userSuppliedBetas: new Set(explicitBatchBetas),
+      });
+      const body = this.transformRequestBody(prepared.args, prepared.betas);
+      validateAnthropicBatchBody({
+        body,
+        requestId: request.id,
+      });
+
+      preparedRequests.push({ custom_id: request.id, params: body });
+      for (const beta of prepared.betas) {
+        batchBetas.add(beta);
+      }
+      for (const warning of prepared.warnings) {
+        batchWarnings.push({ requestId: request.id, warning });
+      }
+    }
+
+    const { value: batch } = await postJsonToApi({
+      url: this.getBatchUrl(''),
+      headers: await this.getStartBatchHeaders({ betas: batchBetas, headers }),
+      body: { requests: preparedRequests },
+      failedResponseHandler: anthropicFailedResponseHandler,
+      successfulResponseHandler: createJsonResponseHandler(
+        anthropicBatchResponseSchema,
+      ),
+      abortSignal,
+      fetch: this.config.fetch,
+    });
+
+    return {
+      batchId: batch.id,
+      ...convertAnthropicBatchStatus(batch),
+      warnings: batchWarnings,
+    };
+  }
+
+  async experimental_doGetBatchStatus(
+    options: BatchV4OperationOptions,
+  ): Promise<BatchV4Status> {
+    return convertAnthropicBatchStatus(await this.retrieveBatch(options));
+  }
+
+  async experimental_doGetBatchResults(
+    options: BatchV4OperationOptions,
+  ): Promise<ReadableStream<BatchV4ItemResult<LanguageModelV4GenerateResult>>> {
+    const batch = await this.retrieveBatch(options);
+
+    if (convertAnthropicBatchStatus(batch).status === 'pending') {
+      throw new InvalidArgumentError({
+        argument: 'batchId',
+        message: `Anthropic batch "${options.batchId}" is not complete.`,
+      });
+    }
+
+    if (batch.archived_at != null) {
+      throw new InvalidArgumentError({
+        argument: 'batchId',
+        message: `Anthropic batch "${options.batchId}" results are no longer available.`,
+      });
+    }
+
+    if (batch.results_url == null) {
+      throw new InvalidArgumentError({
+        argument: 'batchId',
+        message: `Anthropic batch "${options.batchId}" does not have a results URL.`,
+      });
+    }
+
+    const { value: stream } = await getFromApi({
+      url: batch.results_url,
+      validateUrl: true,
+      credentialedOrigin: this.config.baseURL,
+      trustedOrigin: this.config.baseURL,
+      headers: await this.getBatchHeaders(options.headers),
+      failedResponseHandler: anthropicFailedResponseHandler,
+      successfulResponseHandler: rawStreamResponseHandler,
+      abortSignal: options.abortSignal,
+      fetch: this.config.fetch,
+    });
+
+    return convertAsyncIteratorToReadableStream(
+      this.iterateBatchResults(stream),
+    );
+  }
+
+  private async retrieveBatch(
+    options: BatchV4OperationOptions,
+  ): Promise<AnthropicBatchResponse> {
+    const { value: batch } = await getFromApi({
+      url: this.getBatchUrl(`/${encodeURIComponent(options.batchId)}`),
+      validateUrl: false,
+      headers: await this.getBatchHeaders(options.headers),
+      failedResponseHandler: anthropicFailedResponseHandler,
+      successfulResponseHandler: createJsonResponseHandler(
+        anthropicBatchResponseSchema,
+      ),
+      abortSignal: options.abortSignal,
+      fetch: this.config.fetch,
+    });
+
+    return batch;
+  }
+
+  private async *iterateBatchResults(
+    stream: ReadableStream<Uint8Array>,
+  ): AsyncGenerator<BatchV4ItemResult<LanguageModelV4GenerateResult>> {
+    for await (const line of parseJsonLines(stream)) {
+      yield await convertAnthropicBatchResult(line);
+    }
+  }
+
+  private getBatchUrl(path: string) {
+    return `${this.config.baseURL}/messages/batches${path}`;
+  }
+
+  private async getStartBatchHeaders({
+    betas,
+    headers,
+  }: {
+    betas: Set<string>;
+    headers: Record<string, string | undefined> | undefined;
+  }) {
+    return combineHeaders(
+      normalizeHeaders(await this.getBatchHeaders(headers)),
+      {
+        'anthropic-beta':
+          betas.size > 0 ? Array.from(betas).join(',') : undefined,
+      },
+    );
+  }
+
+  private async getBatchHeaders(
+    headers: Record<string, string | undefined> | undefined,
+  ) {
+    return combineHeaders(
+      this.config.headers ? await resolve(this.config.headers) : undefined,
+      headers,
+    );
+  }
+}
+
+async function getAnthropicBatchProviderBetas({
+  provider,
+  providerOptions,
+}: {
+  provider: string;
+  providerOptions: BatchV4OperationOptions['providerOptions'];
+}) {
+  const providerOptionsName = provider.split('.')[0];
+  const canonicalOptions = await parseProviderOptions({
+    provider: 'anthropic',
+    providerOptions,
+    schema: anthropicBatchProviderOptionsSchema,
+  });
+  const customOptions =
+    providerOptionsName !== 'anthropic'
+      ? await parseProviderOptions({
+          provider: providerOptionsName,
+          providerOptions,
+          schema: anthropicBatchProviderOptionsSchema,
+        })
+      : undefined;
+
+  const anthropicOptions = Object.assign(
+    {},
+    canonicalOptions ?? {},
+    customOptions ?? {},
+  );
+
+  return anthropicOptions.anthropicBeta ?? [];
+}
+
+function validateRequestIds(requests: ReadonlyArray<AnthropicBatchRequest>) {
+  const ids = new Set<string>();
+
+  for (const request of requests) {
+    if (!anthropicBatchRequestIdPattern.test(request.id)) {
+      throw new InvalidArgumentError({
+        argument: 'requests',
+        message:
+          `Anthropic batch request ID "${request.id}" must match ` +
+          '^[A-Za-z0-9_-]{1,64}$.',
+      });
+    }
+
+    if (ids.has(request.id)) {
+      throw new InvalidArgumentError({
+        argument: 'requests',
+        message: `Anthropic batch request IDs must be unique; duplicate ID "${request.id}".`,
+      });
+    }
+
+    ids.add(request.id);
+  }
+}
+
+function validateAnthropicBatchBody({
+  body,
+  requestId,
+}: {
+  body: Record<string, unknown>;
+  requestId: string;
+}) {
+  if (body.speed != null) {
+    throw new UnsupportedFunctionalityError({
+      functionality: 'providerOptions.anthropic.speed',
+      message:
+        `Anthropic Message Batches do not support speed ` +
+        `(request "${requestId}").`,
+    });
+  }
+
+  if (
+    Array.isArray(body.fallbacks) &&
+    body.fallbacks.some(
+      fallback =>
+        fallback != null &&
+        typeof fallback === 'object' &&
+        'speed' in fallback &&
+        fallback.speed != null,
+    )
+  ) {
+    throw new UnsupportedFunctionalityError({
+      functionality: 'providerOptions.anthropic.fallbacks[].speed',
+      message:
+        `Anthropic Message Batches do not support fallback speed ` +
+        `(request "${requestId}").`,
+    });
+  }
+}
+
+function convertAnthropicBatchStatus(
+  batch: AnthropicBatchResponse,
+): BatchV4Status {
+  const requestCounts = convertAnthropicRequestCounts(batch.request_counts);
+
+  return {
+    status: mapAnthropicBatchStatus(batch.processing_status),
+    rawStatus: batch.processing_status,
+    ...(requestCounts != null ? { requestCounts } : {}),
+    createdAt: batch.created_at,
+    expiresAt: batch.expires_at,
+  };
+}
+
+function mapAnthropicBatchStatus(rawStatus: string): BatchV4Status['status'] {
+  switch (rawStatus) {
+    case 'ended':
+      return 'completed';
+    case 'in_progress':
+    case 'canceling':
+    default:
+      return 'pending';
+  }
+}
+
+function convertAnthropicRequestCounts(
+  counts: AnthropicBatchResponse['request_counts'],
+): BatchV4Status['requestCounts'] | undefined {
+  const values = [
+    counts.processing,
+    counts.succeeded,
+    counts.errored,
+    counts.canceled,
+    counts.expired,
+  ];
+
+  if (values.some(value => !Number.isFinite(value) || value < 0)) {
+    return undefined;
+  }
+
+  return {
+    total: values.reduce((total, value) => total + value, 0),
+    pending: counts.processing,
+    completed: counts.succeeded,
+    failed: counts.errored + counts.canceled + counts.expired,
+  };
+}
+
+async function convertAnthropicBatchResult(
+  line: AnthropicBatchResultLine,
+): Promise<BatchV4ItemResult<LanguageModelV4GenerateResult>> {
+  switch (line.result.type) {
+    case 'canceled':
+      return { id: line.custom_id, status: 'cancelled' };
+    case 'expired':
+      return { id: line.custom_id, status: 'expired' };
+    case 'errored': {
+      const requestId = line.result.error.request_id;
+      return {
+        id: line.custom_id,
+        status: 'failed',
+        error: {
+          message: line.result.error.error.message,
+          type: line.result.error.error.type,
+        },
+        ...(requestId != null
+          ? {
+              providerMetadata: {
+                anthropic: { requestId },
+              } satisfies SharedV4ProviderMetadata,
+            }
+          : {}),
+      };
+    }
+    case 'succeeded': {
+      const validation = await safeValidateTypes({
+        value: line.result.message,
+        schema: anthropicResponseSchema,
+      });
+
+      if (!validation.success) {
+        return {
+          id: line.custom_id,
+          status: 'failed',
+          error: {
+            message: 'Anthropic returned an invalid Message batch result.',
+            code: 'invalid_response',
+          },
+        };
+      }
+
+      const response = validation.value;
+
+      const unsupportedPart = response.content.find(
+        part => !supportedBatchContentTypes.has(part.type),
+      );
+
+      if (unsupportedPart != null) {
+        return {
+          id: line.custom_id,
+          status: 'failed',
+          error: {
+            message:
+              `Anthropic returned a "${unsupportedPart.type}" content block, ` +
+              'but tool content is not supported in AI SDK text batches.',
+            code: 'unsupported_tool_content',
+          },
+        };
+      }
+
+      return {
+        id: line.custom_id,
+        status: 'succeeded',
+        result: convertAnthropicBatchResponse(response),
+      };
+    }
+  }
+}
+
+const supportedBatchContentTypes = new Set([
+  'text',
+  'thinking',
+  'redacted_thinking',
+  'compaction',
+  // The normal Anthropic response conversion intentionally drops this marker;
+  // the fallback hop remains available through usage.iterations metadata.
+  'fallback',
+]);
+
+function convertAnthropicBatchResponse(
+  response: AnthropicResponse,
+): LanguageModelV4GenerateResult {
+  const content: LanguageModelV4GenerateResult['content'] = [];
+
+  for (const part of response.content) {
+    switch (part.type) {
+      case 'text':
+        content.push({ type: 'text', text: part.text });
+        break;
+      case 'thinking':
+        content.push({
+          type: 'reasoning',
+          text: part.thinking,
+          providerMetadata: {
+            anthropic: {
+              signature: part.signature,
+            } satisfies AnthropicReasoningMetadata,
+          },
+        });
+        break;
+      case 'redacted_thinking':
+        content.push({
+          type: 'reasoning',
+          text: '',
+          providerMetadata: {
+            anthropic: {
+              redactedData: part.data,
+            } satisfies AnthropicReasoningMetadata,
+          },
+        });
+        break;
+      case 'compaction':
+        content.push({
+          type: 'text',
+          text: part.content,
+          providerMetadata: { anthropic: { type: 'compaction' } },
+        });
+        break;
+    }
+  }
+
+  return {
+    content,
+    finishReason: {
+      unified: mapAnthropicStopReason({
+        finishReason: response.stop_reason,
+      }),
+      raw: response.stop_reason ?? undefined,
+    },
+    usage: convertAnthropicUsage({ usage: response.usage }),
+    response: {
+      id: response.id ?? undefined,
+      modelId: response.model ?? undefined,
+    },
+    warnings: [],
+    providerMetadata: {
+      anthropic: convertAnthropicMessageMetadata(response),
+    },
+  };
+}
+
+function convertAnthropicMessageMetadata(response: AnthropicResponse) {
+  const stopDetails = mapAnthropicStopDetails(response.stop_details);
+
+  return {
+    usage: response.usage as JSONObject,
+    stopSequence: response.stop_sequence ?? null,
+    ...(stopDetails != null ? { stopDetails } : {}),
+    iterations: response.usage.iterations
+      ? response.usage.iterations.map(
+          iteration =>
+            ({
+              type: iteration.type,
+              ...(iteration.model != null ? { model: iteration.model } : {}),
+              inputTokens: iteration.input_tokens,
+              outputTokens: iteration.output_tokens,
+              ...(iteration.cache_creation_input_tokens
+                ? {
+                    cacheCreationInputTokens:
+                      iteration.cache_creation_input_tokens,
+                  }
+                : {}),
+              ...(iteration.cache_read_input_tokens
+                ? { cacheReadInputTokens: iteration.cache_read_input_tokens }
+                : {}),
+            }) satisfies AnthropicUsageIteration,
+        )
+      : null,
+    container: response.container
+      ? {
+          expiresAt: response.container.expires_at,
+          id: response.container.id,
+          skills:
+            response.container.skills?.map(skill => ({
+              type: skill.type,
+              skillId: skill.skill_id,
+              version: skill.version,
+            })) ?? null,
+        }
+      : null,
+    contextManagement: mapAnthropicResponseContextManagement(
+      response.context_management,
+    ),
+  } satisfies AnthropicMessageMetadata;
+}
+
+function mapAnthropicResponseContextManagement(
+  contextManagement: AnthropicResponseContextManagement | null | undefined,
+): AnthropicMessageMetadata['contextManagement'] {
+  return contextManagement
+    ? {
+        appliedEdits: contextManagement.applied_edits.map(edit => {
+          switch (edit.type) {
+            case 'clear_tool_uses_20250919':
+              return {
+                type: edit.type,
+                clearedToolUses: edit.cleared_tool_uses,
+                clearedInputTokens: edit.cleared_input_tokens,
+              };
+            case 'clear_thinking_20251015':
+              return {
+                type: edit.type,
+                clearedThinkingTurns: edit.cleared_thinking_turns,
+                clearedInputTokens: edit.cleared_input_tokens,
+              };
+            case 'compact_20260112':
+              return { type: edit.type };
+          }
+        }),
+      }
+    : null;
+}
+
+function mapAnthropicStopDetails(
+  stopDetails: AnthropicStopDetails | null | undefined,
+): AnthropicMessageMetadata['stopDetails'] | undefined {
+  if (stopDetails == null) {
+    return undefined;
+  }
+
+  return {
+    type: stopDetails.type,
+    ...(stopDetails.category != null ? { category: stopDetails.category } : {}),
+    ...(stopDetails.explanation != null
+      ? { explanation: stopDetails.explanation }
+      : {}),
+    ...(stopDetails.recommended_model != null
+      ? { recommendedModel: stopDetails.recommended_model }
+      : {}),
+  };
+}
+
+const rawStreamResponseHandler: ResponseHandler<
+  ReadableStream<Uint8Array>
+> = async ({ response }) => {
+  if (response.body == null) {
+    throw new EmptyResponseBodyError();
+  }
+
+  return { value: response.body };
+};
+
+async function* parseJsonLines(
+  stream: ReadableStream<Uint8Array>,
+): AsyncGenerator<AnthropicBatchResultLine> {
+  const reader = stream.getReader();
+  const decoder = new TextDecoder();
+  let buffer = '';
+  let finished = false;
+
+  try {
+    while (true) {
+      const { done, value } = await reader.read();
+
+      if (done) {
+        finished = true;
+        buffer += decoder.decode();
+        break;
+      }
+
+      buffer += decoder.decode(value, { stream: true });
+
+      let lineEnd = buffer.indexOf('\n');
+      while (lineEnd !== -1) {
+        const line = buffer.slice(0, lineEnd).replace(/\r$/, '');
+        buffer = buffer.slice(lineEnd + 1);
+
+        if (line.trim().length > 0) {
+          yield await parseJSON({
+            text: line,
+            schema: anthropicBatchResultLineSchema,
+          });
+        }
+
+        lineEnd = buffer.indexOf('\n');
+      }
+    }
+
+    const finalLine = buffer.replace(/\r$/, '');
+    if (finalLine.trim().length > 0) {
+      yield await parseJSON({
+        text: finalLine,
+        schema: anthropicBatchResultLineSchema,
+      });
+    }
+  } finally {
+    if (!finished) {
+      await reader.cancel().catch(() => {});
+    }
+    reader.releaseLock();
+  }
+}

dist/index.d.ts

@@ -1,2 +0,2 @@
-import { JSONObject, ProviderV4, LanguageModelV4, FilesV4, SkillsV4 } from '@ai-sdk/provider';
+import { JSONObject, ProviderV4, Experimental_BatchLanguageModelV4, FilesV4, SkillsV4 } from '@ai-sdk/provider';
 import { z } from 'zod/v4';
@@ -1226,9 +1226,9 @@ import * as _ai_sdk_provider_utils from '@ai-sdk/provider-utils';
      */
-    (modelId: AnthropicModelId): LanguageModelV4;
+    (modelId: AnthropicModelId): Experimental_BatchLanguageModelV4;
     /**
      * Creates a model for text generation.
      */
-    languageModel(modelId: AnthropicModelId): LanguageModelV4;
-    chat(modelId: AnthropicModelId): LanguageModelV4;
-    messages(modelId: AnthropicModelId): LanguageModelV4;
+    languageModel(modelId: AnthropicModelId): Experimental_BatchLanguageModelV4;
+    chat(modelId: AnthropicModelId): Experimental_BatchLanguageModelV4;
+    messages(modelId: AnthropicModelId): Experimental_BatchLanguageModelV4;
     /**
@@ -1235,0 +1235,0 @@ * @deprecated Use `embeddingModel` instead.

package.json

 {
   "name": "@ai-sdk/anthropic",
-  "version": "4.0.33",
+  "version": "4.0.34",
   "type": "module",
@@ -5,0 +5,0 @@ "license": "Apache-2.0",

src/anthropic-provider.ts

 import {
   InvalidArgumentError,
   NoSuchModelError,
+  type Experimental_BatchLanguageModelV4 as BatchLanguageModelV4,
   type FilesV4,
-  type LanguageModelV4,
   type ProviderV4,
@@ -19,3 +19,3 @@ type SkillsV4,
 import { AnthropicFiles } from './anthropic-files';
-import { AnthropicLanguageModel } from './anthropic-language-model';
+import { AnthropicMessagesBatchLanguageModel } from './anthropic-messages-batch';
 import type { AnthropicModelId } from './anthropic-language-model-options';
@@ -43,3 +43,3 @@ import { anthropicTools } from './anthropic-tools';
    */
-  (modelId: AnthropicModelId): LanguageModelV4;
+  (modelId: AnthropicModelId): BatchLanguageModelV4;
 
@@ -49,7 +49,7 @@ /**
    */
-  languageModel(modelId: AnthropicModelId): LanguageModelV4;
+  languageModel(modelId: AnthropicModelId): BatchLanguageModelV4;
 
-  chat(modelId: AnthropicModelId): LanguageModelV4;
+  chat(modelId: AnthropicModelId): BatchLanguageModelV4;
 
-  messages(modelId: AnthropicModelId): LanguageModelV4;
+  messages(modelId: AnthropicModelId): BatchLanguageModelV4;
 
@@ -162,3 +162,3 @@ /**
   const createChatModel = (modelId: AnthropicModelId) =>
-    new AnthropicLanguageModel(modelId, {
+    new AnthropicMessagesBatchLanguageModel(modelId, {
       provider: providerName,
@@ -165,0 +165,0 @@ baseURL,

No alert changes

Improved metrics

Total package byte prevSize

2151383

4.76%

Number of package files

53

1.92%

Lines of code

27483

7.57%

Worsened metrics

Number of medium supply chain risk alerts

62

24%

No dependency changes