ollama-ai-provider - npm Package Compare versions

Comparing version 0.10.0 to 0.11.0

dist/index.d.ts

 import { LanguageModelV1, EmbeddingModelV1 } from '@ai-sdk/provider';
 
-type OllamaChatModelId = 'codellama' | 'codellama:7b' | 'codellama:13b' | 'codellama:34b' | 'codellama:70b' | 'codellama:code' | 'codellama:python' | 'falcon2' | 'falcon2:11b' | 'gemma' | 'gemma:2b' | 'gemma:7b' | 'gemma2' | 'gemma:9b' | 'gemma:27b' | 'llama2' | 'llama2:7b' | 'llama2:13b' | 'llama2:70b' | 'llama3' | 'llama3:8b' | 'llama3:70b' | 'llama3-chatqa' | 'llama3-chatqa:8b' | 'llama3-chatqa:70b' | 'llama3-gradient' | 'llama3-gradient:8b' | 'llama3-gradient:70b' | 'llava' | 'llava:7b' | 'llava:13b' | 'llava:34b' | 'llava-llama3' | 'llava-llama3:8b' | 'llava-phi3' | 'llava-phi3:3.8b' | 'mistral' | 'mistral:7b' | 'mixtral' | 'mixtral:8x7b' | 'mixtral:8x22b' | 'moondream' | 'moondream:1.8b' | 'openhermes' | 'openhermes:v2.5' | 'qwen' | 'qwen:7b' | 'qwen:14b' | 'qwen:32b' | 'qwen:72b' | 'qwen:110b' | 'qwen2' | 'qwen2:0.5b' | 'qwen2:1.5b' | 'qwen2:7b' | 'qwen2:72b' | 'phi3' | 'phi3:3.8b' | (string & NonNullable<unknown>);
+type OllamaChatModelId = 'codegemma' | 'codegemma:2b' | 'codegemma:7b' | 'codellama' | 'codellama:7b' | 'codellama:13b' | 'codellama:34b' | 'codellama:70b' | 'codellama:code' | 'codellama:python' | 'command-r' | 'command-r:35b' | 'command-r-plus' | 'command-r-plus:104b' | 'deepseek-coder-v2' | 'deepseek-coder-v2:16b' | 'deepseek-coder-v2:236b' | 'falcon2' | 'falcon2:11b' | 'gemma' | 'gemma:2b' | 'gemma:7b' | 'gemma2' | 'gemma2:2b' | 'gemma2:9b' | 'gemma2:27b' | 'llama2' | 'llama2:7b' | 'llama2:13b' | 'llama2:70b' | 'llama3' | 'llama3:8b' | 'llama3:70b' | 'llama3-chatqa' | 'llama3-chatqa:8b' | 'llama3-chatqa:70b' | 'llama3-gradient' | 'llama3-gradient:8b' | 'llama3-gradient:70b' | 'llama3.1' | 'llama3.1:8b' | 'llama3.1:70b' | 'llama3.1:405b' | 'llava' | 'llava:7b' | 'llava:13b' | 'llava:34b' | 'llava-llama3' | 'llava-llama3:8b' | 'llava-phi3' | 'llava-phi3:3.8b' | 'mistral' | 'mistral:7b' | 'mistral-large' | 'mistral-large:123b' | 'mistral-nemo' | 'mistral-nemo:12b' | 'mixtral' | 'mixtral:8x7b' | 'mixtral:8x22b' | 'moondream' | 'moondream:1.8b' | 'openhermes' | 'openhermes:v2.5' | 'qwen' | 'qwen:7b' | 'qwen:14b' | 'qwen:32b' | 'qwen:72b' | 'qwen:110b' | 'qwen2' | 'qwen2:0.5b' | 'qwen2:1.5b' | 'qwen2:7b' | 'qwen2:72b' | 'phi3' | 'phi3:3.8b' | 'phi3:14b' | (string & NonNullable<unknown>);
 interface OllamaChatSettings {
@@ -61,2 +61,3 @@ /**
     readonly defaultObjectGenerationMode = "json";
+    readonly supportsImageUrls = false;
     constructor(modelId: OllamaChatModelId, settings: OllamaChatSettings, config: OllamaChatConfig);
@@ -72,2 +73,3 @@ get provider(): string;
     maxEmbeddingsPerCall?: number;
+    truncate?: boolean;
 }
@@ -74,0 +76,0 @@

dist/index.js

@@ -30,8 +30,7 @@ "use strict";
 // src/ollama-facade.ts
-var import_provider_utils7 = require("@ai-sdk/provider-utils");
+var import_provider_utils6 = require("@ai-sdk/provider-utils");
 
 // src/ollama-chat-language-model.ts
-var import_provider3 = require("@ai-sdk/provider");
-var import_provider_utils6 = require("@ai-sdk/provider-utils");
-var import_zod3 = require("zod");
+var import_provider_utils5 = require("@ai-sdk/provider-utils");
+var import_zod2 = require("zod");
 
@@ -41,44 +40,8 @@ // src/convert-to-ollama-chat-messages.ts
 var import_provider_utils = require("@ai-sdk/provider-utils");
-
-// src/generate-tool/inject-tools-schema-into-system.ts
-var DEFAULT_SCHEMA_PREFIX = "You have access to the following tools:";
-var DEFAULT_SCHEMA_SUFFIX = `To use a tool, you MUST answer with a JSON object with the following structure:
-[
-  {
-    "name": <name of the called tool>,
-    "arguments": <arguments for the tool matching the above JSON schema>
-  }
-]`;
-function injectToolsSchemaIntoSystem({
-  schemaPrefix = DEFAULT_SCHEMA_PREFIX,
-  schemaSuffix = DEFAULT_SCHEMA_SUFFIX,
-  system,
-  toolChoice,
-  tools
-}) {
-  const selectedTools = tools == null ? void 0 : tools.filter(
-    (tool) => !toolChoice || tool.name === toolChoice
-  );
-  if (!selectedTools) {
-    return system;
-  }
-  return [system, schemaPrefix, JSON.stringify(selectedTools), schemaSuffix].filter((line) => line !== null).join("\n");
-}
-
-// src/convert-to-ollama-chat-messages.ts
-function convertToOllamaChatMessages(prompt, tools, toolChoice) {
+function convertToOllamaChatMessages(prompt) {
   const messages = [];
-  let hasSystem = false;
   for (const { content, role } of prompt) {
     switch (role) {
       case "system": {
-        messages.push({
-          content: injectToolsSchemaIntoSystem({
-            system: content,
-            toolChoice,
-            tools
-          }),
-          role: "system"
-        });
-        hasSystem = true;
+        messages.push({ content, role: "system" });
         break;
@@ -94,3 +57,3 @@ }
                 throw new import_provider.UnsupportedFunctionalityError({
-                  functionality: "image-part"
+                  functionality: "Image URLs in user messages"
                 });
@@ -110,14 +73,46 @@ } else if (current.type === "image" && current.image instanceof Uint8Array) {
       case "assistant": {
+        const text = [];
+        const toolCalls = [];
+        for (const part of content) {
+          switch (part.type) {
+            case "text": {
+              text.push(part.text);
+              break;
+            }
+            case "tool-call": {
+              toolCalls.push({
+                function: {
+                  arguments: part.args,
+                  name: part.toolName
+                },
+                id: part.toolCallId,
+                type: "function"
+              });
+              break;
+            }
+            default: {
+              const _exhaustiveCheck = part;
+              throw new Error(`Unsupported part: ${_exhaustiveCheck}`);
+            }
+          }
+        }
         messages.push({
-          content: content.map((part) => {
-            switch (part.type) {
-              case "text": {
-                return part.text;
-              }
-            }
-          }).join(""),
-          role: "assistant"
+          content: text.join(","),
+          role: "assistant",
+          tool_calls: toolCalls.length > 0 ? toolCalls : void 0
         });
         break;
       }
+      case "tool": {
+        messages.push(
+          ...content.map((part) => ({
+            // Non serialized contents are not accepted by ollama, triggering the following error:
+            // "json: cannot unmarshal array into Go struct field ChatRequest.messages of type string"
+            content: typeof part.result === "object" ? JSON.stringify(part.result) : `${part.result}`,
+            role: "tool",
+            tool_call_id: part.toolCallId
+          }))
+        );
+        break;
+      }
       default: {
@@ -129,63 +124,7 @@ const _exhaustiveCheck = role;
   }
-  if (!hasSystem && tools) {
-    messages.unshift({
-      content: injectToolsSchemaIntoSystem({
-        system: "",
-        toolChoice,
-        tools
-      }),
-      role: "system"
-    });
-  }
   return messages;
 }
 
-// src/generate-tool/infer-tool-calls-from-response.ts
+// src/generate-tool/infer-tool-calls-from-stream.ts
 var import_provider_utils2 = require("@ai-sdk/provider-utils");
-var import_zod = require("zod");
-function inferToolCallsFromResponse(response) {
-  try {
-    const tool = JSON.parse(response.message.content);
-    let parsedTools = toolResponseSchema.parse(tool);
-    if (!Array.isArray(parsedTools)) {
-      parsedTools = [parsedTools];
-    }
-    return {
-      ...response,
-      finish_reason: "tool-calls",
-      message: {
-        content: "",
-        role: "assistant",
-        tool_calls: parsedTools.map((parsedTool) => ({
-          function: {
-            arguments: JSON.stringify(parsedTool.arguments),
-            name: parsedTool.name
-          },
-          id: (0, import_provider_utils2.generateId)(),
-          type: "function"
-        }))
-      }
-    };
-  } catch (e) {
-    return {
-      ...response,
-      finish_reason: "stop"
-    };
-  }
-}
-var toolResponseSchema = import_zod.z.union([
-  import_zod.z.array(
-    import_zod.z.object({
-      arguments: import_zod.z.record(import_zod.z.unknown()),
-      name: import_zod.z.string()
-    })
-  ),
-  import_zod.z.object({
-    arguments: import_zod.z.record(import_zod.z.unknown()),
-    name: import_zod.z.string()
-  })
-]);
-
-// src/generate-tool/infer-tool-calls-from-stream.ts
-var import_provider_utils3 = require("@ai-sdk/provider-utils");
 var import_partial_json = require("partial-json");
@@ -221,3 +160,3 @@ var InferToolCallsFromStream = class {
     for (const [index, parsedFunction] of parsedFunctions.entries()) {
-      const parsedArguments = (_a = JSON.stringify(parsedFunction == null ? void 0 : parsedFunction.arguments)) != null ? _a : "";
+      const parsedArguments = (_a = JSON.stringify(parsedFunction == null ? void 0 : parsedFunction.parameters)) != null ? _a : "";
       if (parsedArguments === "") {
@@ -232,3 +171,3 @@ continue;
           },
-          id: (0, import_provider_utils3.generateId)(),
+          id: (0, import_provider_utils2.generateId)(),
           type: "function"
@@ -282,7 +221,9 @@ };
 // src/map-ollama-finish-reason.ts
-function mapOllamaFinishReason(finishReason) {
+function mapOllamaFinishReason({
+  finishReason,
+  hasToolCalls
+}) {
   switch (finishReason) {
-    case "stop":
-    case "tool-calls": {
-      return finishReason;
+    case "stop": {
+      return hasToolCalls ? "tool-calls" : "stop";
     }
@@ -296,13 +237,13 @@ default: {
 // src/ollama-error.ts
-var import_provider_utils4 = require("@ai-sdk/provider-utils");
-var import_zod2 = require("zod");
-var ollamaErrorDataSchema = import_zod2.z.object({
-  error: import_zod2.z.object({
-    code: import_zod2.z.string().nullable(),
-    message: import_zod2.z.string(),
-    param: import_zod2.z.any().nullable(),
-    type: import_zod2.z.string()
+var import_provider_utils3 = require("@ai-sdk/provider-utils");
+var import_zod = require("zod");
+var ollamaErrorDataSchema = import_zod.z.object({
+  error: import_zod.z.object({
+    code: import_zod.z.string().nullable(),
+    message: import_zod.z.string(),
+    param: import_zod.z.any().nullable(),
+    type: import_zod.z.string()
   })
 });
-var ollamaFailedResponseHandler = (0, import_provider_utils4.createJsonErrorResponseHandler)({
+var ollamaFailedResponseHandler = (0, import_provider_utils3.createJsonErrorResponseHandler)({
   errorSchema: ollamaErrorDataSchema,
@@ -321,3 +262,3 @@ errorToMessage: (data) => data.error.message
 var import_provider2 = require("@ai-sdk/provider");
-var import_provider_utils5 = require("@ai-sdk/provider-utils");
+var import_provider_utils4 = require("@ai-sdk/provider-utils");
 
@@ -349,3 +290,3 @@ // src/utils/text-line-stream.ts
 var createJsonStreamResponseHandler = (chunkSchema) => async ({ response }) => {
-  const responseHeaders = (0, import_provider_utils5.extractResponseHeaders)(response);
+  const responseHeaders = (0, import_provider_utils4.extractResponseHeaders)(response);
   if (response.body === null) {
@@ -360,3 +301,3 @@ throw new import_provider2.EmptyResponseBodyError({});
           controller.enqueue(
-            (0, import_provider_utils5.safeParseJSON)({
+            (0, import_provider_utils4.safeParseJSON)({
               schema: chunkSchema,
@@ -380,2 +321,3 @@ text: chunkText
     this.defaultObjectGenerationMode = "json";
+    this.supportsImageUrls = false;
   }
@@ -424,3 +366,3 @@ get provider() {
             ...baseArguments,
-            messages: convertToOllamaChatMessages(prompt, tools),
+            messages: convertToOllamaChatMessages(prompt),
             tools: tools == null ? void 0 : tools.map((tool) => ({
@@ -454,8 +396,3 @@ function: {
             ...baseArguments,
-            format: "json",
-            messages: convertToOllamaChatMessages(
-              prompt,
-              [mode.tool],
-              mode.tool.name
-            ),
+            messages: convertToOllamaChatMessages(prompt),
             tool_choice: {
@@ -480,7 +417,2 @@ function: { name: mode.tool.name },
       }
-      case "object-grammar": {
-        throw new import_provider3.UnsupportedFunctionalityError({
-          functionality: "object-grammar mode"
-        });
-      }
       default: {
@@ -495,3 +427,3 @@ const _exhaustiveCheck = type;
     const { args, warnings } = this.getArguments(options);
-    const { responseHeaders, value } = await (0, import_provider_utils6.postJsonToApi)({
+    const { responseHeaders, value: response } = await (0, import_provider_utils5.postJsonToApi)({
       abortSignal: options.abortSignal,
@@ -505,3 +437,3 @@ body: {
       headers: this.config.headers(),
-      successfulResponseHandler: (0, import_provider_utils6.createJsonResponseHandler)(
+      successfulResponseHandler: (0, import_provider_utils5.createJsonResponseHandler)(
         ollamaChatResponseSchema
@@ -511,15 +443,21 @@ ),
     });
-    const response = inferToolCallsFromResponse(value);
     const { messages: rawPrompt, ...rawSettings } = args;
+    const toolCalls = (_a = response.message.tool_calls) == null ? void 0 : _a.map((toolCall) => {
+      var _a2;
+      return {
+        args: JSON.stringify(toolCall.function.arguments),
+        toolCallId: (_a2 = toolCall.id) != null ? _a2 : (0, import_provider_utils5.generateId)(),
+        toolCallType: "function",
+        toolName: toolCall.function.name
+      };
+    });
     return {
-      finishReason: mapOllamaFinishReason(response.finish_reason),
+      finishReason: mapOllamaFinishReason({
+        finishReason: response.done_reason,
+        hasToolCalls: toolCalls !== void 0 && toolCalls.length > 0
+      }),
       rawCall: { rawPrompt, rawSettings },
       rawResponse: { headers: responseHeaders },
-      text: (_a = response.message.content) != null ? _a : void 0,
-      toolCalls: (_b = response.message.tool_calls) == null ? void 0 : _b.map((toolCall) => ({
-        args: toolCall.function.arguments,
-        toolCallId: (0, import_provider_utils6.generateId)(),
-        toolCallType: "function",
-        toolName: toolCall.function.name
-      })),
+      text: (_b = response.message.content) != null ? _b : void 0,
+      toolCalls,
       usage: {
@@ -534,3 +472,3 @@ completionTokens: response.eval_count || 0,
     const { args, type, warnings } = this.getArguments(options);
-    const { responseHeaders, value: response } = await (0, import_provider_utils6.postJsonToApi)({
+    const { responseHeaders, value: response } = await (0, import_provider_utils5.postJsonToApi)({
       abortSignal: options.abortSignal,
@@ -575,3 +513,3 @@ body: args,
                 completionTokens: value.eval_count,
-                promptTokens: Number.NaN
+                promptTokens: value.prompt_eval_count || 0
               };
@@ -600,46 +538,47 @@ return;
 };
-var ollamaChatResponseSchema = import_zod3.z.object({
-  created_at: import_zod3.z.string(),
-  done: import_zod3.z.literal(true),
-  eval_count: import_zod3.z.number(),
-  eval_duration: import_zod3.z.number(),
-  finish_reason: import_zod3.z.string().optional().nullable(),
-  load_duration: import_zod3.z.number().optional(),
-  message: import_zod3.z.object({
-    content: import_zod3.z.string(),
-    role: import_zod3.z.string(),
-    tool_calls: import_zod3.z.array(
-      import_zod3.z.object({
-        function: import_zod3.z.object({
-          arguments: import_zod3.z.string(),
-          name: import_zod3.z.string()
-        })
+var ollamaChatResponseSchema = import_zod2.z.object({
+  created_at: import_zod2.z.string(),
+  done: import_zod2.z.literal(true),
+  done_reason: import_zod2.z.string().optional().nullable(),
+  eval_count: import_zod2.z.number(),
+  eval_duration: import_zod2.z.number(),
+  load_duration: import_zod2.z.number().optional(),
+  message: import_zod2.z.object({
+    content: import_zod2.z.string(),
+    role: import_zod2.z.string(),
+    tool_calls: import_zod2.z.array(
+      import_zod2.z.object({
+        function: import_zod2.z.object({
+          arguments: import_zod2.z.record(import_zod2.z.any()),
+          name: import_zod2.z.string()
+        }),
+        id: import_zod2.z.string().optional()
       })
     ).optional().nullable()
   }),
-  model: import_zod3.z.string(),
-  prompt_eval_count: import_zod3.z.number().optional(),
-  prompt_eval_duration: import_zod3.z.number().optional(),
-  total_duration: import_zod3.z.number()
+  model: import_zod2.z.string(),
+  prompt_eval_count: import_zod2.z.number().optional(),
+  prompt_eval_duration: import_zod2.z.number().optional(),
+  total_duration: import_zod2.z.number()
 });
-var ollamaChatStreamChunkSchema = import_zod3.z.discriminatedUnion("done", [
-  import_zod3.z.object({
-    created_at: import_zod3.z.string(),
-    done: import_zod3.z.literal(false),
-    message: import_zod3.z.object({
-      content: import_zod3.z.string(),
-      role: import_zod3.z.string()
+var ollamaChatStreamChunkSchema = import_zod2.z.discriminatedUnion("done", [
+  import_zod2.z.object({
+    created_at: import_zod2.z.string(),
+    done: import_zod2.z.literal(false),
+    message: import_zod2.z.object({
+      content: import_zod2.z.string(),
+      role: import_zod2.z.string()
     }),
-    model: import_zod3.z.string()
+    model: import_zod2.z.string()
   }),
-  import_zod3.z.object({
-    created_at: import_zod3.z.string(),
-    done: import_zod3.z.literal(true),
-    eval_count: import_zod3.z.number(),
-    eval_duration: import_zod3.z.number(),
-    load_duration: import_zod3.z.number().optional(),
-    model: import_zod3.z.string(),
-    prompt_eval_count: import_zod3.z.number().optional(),
-    prompt_eval_duration: import_zod3.z.number().optional(),
-    total_duration: import_zod3.z.number()
+  import_zod2.z.object({
+    created_at: import_zod2.z.string(),
+    done: import_zod2.z.literal(true),
+    eval_count: import_zod2.z.number(),
+    eval_duration: import_zod2.z.number(),
+    load_duration: import_zod2.z.number().optional(),
+    model: import_zod2.z.string(),
+    prompt_eval_count: import_zod2.z.number().optional(),
+    prompt_eval_duration: import_zod2.z.number().optional(),
+    total_duration: import_zod2.z.number()
   })
@@ -652,3 +591,3 @@ ]);
     var _a;
-    this.baseURL = (_a = (0, import_provider_utils7.withoutTrailingSlash)(options.baseURL)) != null ? _a : "http://127.0.0.1:11434/api";
+    this.baseURL = (_a = (0, import_provider_utils6.withoutTrailingSlash)(options.baseURL)) != null ? _a : "http://127.0.0.1:11434/api";
     this.headers = options.headers;
@@ -673,8 +612,8 @@ }
 // src/ollama-provider.ts
-var import_provider_utils9 = require("@ai-sdk/provider-utils");
+var import_provider_utils8 = require("@ai-sdk/provider-utils");
 
 // src/ollama-embedding-model.ts
-var import_provider4 = require("@ai-sdk/provider");
-var import_provider_utils8 = require("@ai-sdk/provider-utils");
-var import_zod4 = require("zod");
+var import_provider3 = require("@ai-sdk/provider");
+var import_provider_utils7 = require("@ai-sdk/provider-utils");
+var import_zod3 = require("zod");
 var OllamaEmbeddingModel = class {
@@ -692,3 +631,3 @@ constructor(modelId, settings, config) {
     var _a;
-    return (_a = this.settings.maxEmbeddingsPerCall) != null ? _a : 1;
+    return (_a = this.settings.maxEmbeddingsPerCall) != null ? _a : 2048;
   }
@@ -703,3 +642,3 @@ get supportsParallelCalls() {
     if (values.length > this.maxEmbeddingsPerCall) {
-      throw new import_provider4.TooManyEmbeddingValuesForCallError({
+      throw new import_provider3.TooManyEmbeddingValuesForCallError({
         maxEmbeddingsPerCall: this.maxEmbeddingsPerCall,
@@ -715,25 +654,23 @@ modelId: this.modelId,
     };
-    for (const value of values) {
-      const { responseHeaders, value: response } = await (0, import_provider_utils8.postJsonToApi)({
-        abortSignal,
-        body: {
-          model: this.modelId,
-          prompt: value
-        },
-        failedResponseHandler: ollamaFailedResponseHandler,
-        fetch: this.config.fetch,
-        headers: this.config.headers(),
-        successfulResponseHandler: (0, import_provider_utils8.createJsonResponseHandler)(
-          ollamaTextEmbeddingResponseSchema
-        ),
-        url: `${this.config.baseURL}/embeddings`
-      });
-      embeddings.embeddings.push(response.embedding);
-      embeddings.rawResponse = { headers: responseHeaders };
-    }
+    const { responseHeaders, value: response } = await (0, import_provider_utils7.postJsonToApi)({
+      abortSignal,
+      body: {
+        input: values,
+        model: this.modelId
+      },
+      failedResponseHandler: ollamaFailedResponseHandler,
+      fetch: this.config.fetch,
+      headers: this.config.headers(),
+      successfulResponseHandler: (0, import_provider_utils7.createJsonResponseHandler)(
+        ollamaTextEmbeddingResponseSchema
+      ),
+      url: `${this.config.baseURL}/embed`
+    });
+    embeddings.embeddings = response.embeddings;
+    embeddings.rawResponse = { headers: responseHeaders };
     return embeddings;
   }
 };
-var ollamaTextEmbeddingResponseSchema = import_zod4.z.object({
-  embedding: import_zod4.z.array(import_zod4.z.number())
+var ollamaTextEmbeddingResponseSchema = import_zod3.z.object({
+  embeddings: import_zod3.z.array(import_zod3.z.array(import_zod3.z.number()))
 });
@@ -744,3 +681,3 @@
   var _a;
-  const baseURL = (_a = (0, import_provider_utils9.withoutTrailingSlash)(options.baseURL)) != null ? _a : "http://127.0.0.1:11434/api";
+  const baseURL = (_a = (0, import_provider_utils8.withoutTrailingSlash)(options.baseURL)) != null ? _a : "http://127.0.0.1:11434/api";
   const getHeaders = () => ({
@@ -747,0 +684,0 @@ ...options.headers

package.json

 {
   "name": "ollama-ai-provider",
-  "version": "0.10.0",
+  "version": "0.11.0",
   "description": "Vercel AI Provider for running LLMs locally using Ollama",
@@ -18,5 +18,5 @@ "main": "./dist/index.js",
   "dependencies": {
-    "@ai-sdk/provider": "0.0.11",
-    "@ai-sdk/provider-utils": "1.0.0",
-    "partial-json": "^0.1.7"
+    "@ai-sdk/provider": "0.0.14",
+    "@ai-sdk/provider-utils": "1.0.5",
+    "partial-json": "0.1.7"
   },
@@ -23,0 +23,0 @@ "devDependencies": {

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Worsened metrics

Total package byte prevSize

134755

decreased by-5.15%

Lines of code

1459

decreased by-7.54%

Dependency changes

• + Added@ai-sdk/provider@0.0.14(transitive)

• + Added@ai-sdk/provider-utils@1.0.5(transitive)

• - Removed@ai-sdk/provider@0.0.11(transitive)

• - Removed@ai-sdk/provider-utils@1.0.0(transitive)

• Updated@ai-sdk/provider@0.0.14

• Updated@ai-sdk/provider-utils@1.0.5

• Updatedpartial-json@0.1.7