@ai-sdk/openai - npm Package Compare versions

Comparing version 0.0.37 to 0.0.38

./dist/index.js

@@ -33,3 +33,3 @@ "use strict";
 // src/openai-chat-language-model.ts
-var import_provider = require("@ai-sdk/provider");
+var import_provider2 = require("@ai-sdk/provider");
 var import_provider_utils3 = require("@ai-sdk/provider-utils");
@@ -39,4 +39,8 @@ var import_zod2 = require("zod");
 // src/convert-to-openai-chat-messages.ts
+var import_provider = require("@ai-sdk/provider");
 var import_provider_utils = require("@ai-sdk/provider-utils");
-function convertToOpenAIChatMessages(prompt) {
+function convertToOpenAIChatMessages({
+  prompt,
+  useLegacyFunctionCalling = false
+}) {
   const messages = [];
@@ -101,7 +105,20 @@ for (const { role, content } of prompt) {
         }
-        messages.push({
-          role: "assistant",
-          content: text,
-          tool_calls: toolCalls.length > 0 ? toolCalls : void 0
-        });
+        if (useLegacyFunctionCalling) {
+          if (toolCalls.length > 1) {
+            throw new import_provider.UnsupportedFunctionalityError({
+              functionality: "useLegacyFunctionCalling with multiple tool calls in one message"
+            });
+          }
+          messages.push({
+            role: "assistant",
+            content: text,
+            function_call: toolCalls.length > 0 ? toolCalls[0].function : void 0
+          });
+        } else {
+          messages.push({
+            role: "assistant",
+            content: text,
+            tool_calls: toolCalls.length > 0 ? toolCalls : void 0
+          });
+        }
         break;
@@ -111,7 +128,15 @@ }
         for (const toolResponse of content) {
-          messages.push({
-            role: "tool",
-            tool_call_id: toolResponse.toolCallId,
-            content: JSON.stringify(toolResponse.result)
-          });
+          if (useLegacyFunctionCalling) {
+            messages.push({
+              role: "function",
+              name: toolResponse.toolName,
+              content: JSON.stringify(toolResponse.result)
+            });
+          } else {
+            messages.push({
+              role: "tool",
+              tool_call_id: toolResponse.toolCallId,
+              content: JSON.stringify(toolResponse.result)
+            });
+          }
         }
@@ -193,7 +218,30 @@ break;
     topP,
+    topK,
     frequencyPenalty,
     presencePenalty,
+    stopSequences,
+    responseFormat,
     seed
   }) {
     const type = mode.type;
+    const warnings = [];
+    if (topK != null) {
+      warnings.push({
+        type: "unsupported-setting",
+        setting: "topK"
+      });
+    }
+    if (responseFormat != null && responseFormat.type === "json" && responseFormat.schema != null) {
+      warnings.push({
+        type: "unsupported-setting",
+        setting: "responseFormat",
+        details: "JSON response format schema is not supported"
+      });
+    }
+    const useLegacyFunctionCalling = this.settings.useLegacyFunctionCalling;
+    if (useLegacyFunctionCalling && this.settings.parallelToolCalls === true) {
+      throw new import_provider2.UnsupportedFunctionalityError({
+        functionality: "useLegacyFunctionCalling with parallelToolCalls"
+      });
+    }
     const baseArgs = {
@@ -214,14 +262,29 @@ // model id:
       presence_penalty: presencePenalty,
+      stop: stopSequences,
       seed,
+      // response format:
+      response_format: (responseFormat == null ? void 0 : responseFormat.type) === "json" ? { type: "json_object" } : void 0,
       // messages:
-      messages: convertToOpenAIChatMessages(prompt)
+      messages: convertToOpenAIChatMessages({
+        prompt,
+        useLegacyFunctionCalling
+      })
     };
     switch (type) {
       case "regular": {
-        return { ...baseArgs, ...prepareToolsAndToolChoice(mode) };
+        return {
+          args: {
+            ...baseArgs,
+            ...prepareToolsAndToolChoice({ mode, useLegacyFunctionCalling })
+          },
+          warnings
+        };
       }
       case "object-json": {
         return {
-          ...baseArgs,
-          response_format: { type: "json_object" }
+          args: {
+            ...baseArgs,
+            response_format: { type: "json_object" }
+          },
+          warnings
         };
@@ -231,8 +294,9 @@ }
         return {
-          ...baseArgs,
-          tool_choice: { type: "function", function: { name: mode.tool.name } },
-          tools: [
-            {
-              type: "function",
-              function: {
+          args: useLegacyFunctionCalling ? {
+            ...baseArgs,
+            function_call: {
+              name: mode.tool.name
+            },
+            functions: [
+              {
                 name: mode.tool.name,
@@ -242,11 +306,23 @@ description: mode.tool.description,
               }
-            }
-          ]
+            ]
+          } : {
+            ...baseArgs,
+            tool_choice: {
+              type: "function",
+              function: { name: mode.tool.name }
+            },
+            tools: [
+              {
+                type: "function",
+                function: {
+                  name: mode.tool.name,
+                  description: mode.tool.description,
+                  parameters: mode.tool.parameters
+                }
+              }
+            ]
+          },
+          warnings
         };
       }
-      case "object-grammar": {
-        throw new import_provider.UnsupportedFunctionalityError({
-          functionality: "object-grammar mode"
-        });
-      }
       default: {
@@ -260,3 +336,3 @@ const _exhaustiveCheck = type;
     var _a, _b;
-    const args = this.getArgs(options);
+    const { args, warnings } = this.getArgs(options);
     const { responseHeaders, value: response } = await (0, import_provider_utils3.postJsonToApi)({
@@ -280,3 +356,10 @@ url: this.config.url({
       text: (_a = choice.message.content) != null ? _a : void 0,
-      toolCalls: (_b = choice.message.tool_calls) == null ? void 0 : _b.map((toolCall) => {
+      toolCalls: this.settings.useLegacyFunctionCalling && choice.message.function_call ? [
+        {
+          toolCallType: "function",
+          toolCallId: (0, import_provider_utils3.generateId)(),
+          toolName: choice.message.function_call.name,
+          args: choice.message.function_call.arguments
+        }
+      ] : (_b = choice.message.tool_calls) == null ? void 0 : _b.map((toolCall) => {
         var _a2;
@@ -297,3 +380,3 @@ return {
       rawResponse: { headers: responseHeaders },
-      warnings: [],
+      warnings,
       logprobs: mapOpenAIChatLogProbsOutput(choice.logprobs)
@@ -303,3 +386,3 @@ };
   async doStream(options) {
-    const args = this.getArgs(options);
+    const { args, warnings } = this.getArgs(options);
     const { responseHeaders, value: response } = await (0, import_provider_utils3.postJsonToApi)({
@@ -332,2 +415,3 @@ url: this.config.url({
     let logprobs;
+    const { useLegacyFunctionCalling } = this.settings;
     return {
@@ -377,8 +461,16 @@ stream: response.pipeThrough(
             }
-            if (delta.tool_calls != null) {
-              for (const toolCallDelta of delta.tool_calls) {
+            const mappedToolCalls = useLegacyFunctionCalling && delta.function_call != null ? [
+              {
+                type: "function",
+                id: (0, import_provider_utils3.generateId)(),
+                function: delta.function_call,
+                index: 0
+              }
+            ] : delta.tool_calls;
+            if (mappedToolCalls != null) {
+              for (const toolCallDelta of mappedToolCalls) {
                 const index = toolCallDelta.index;
                 if (toolCalls[index] == null) {
                   if (toolCallDelta.type !== "function") {
-                    throw new import_provider.InvalidResponseDataError({
+                    throw new import_provider2.InvalidResponseDataError({
                       data: toolCallDelta,
@@ -389,3 +481,3 @@ message: `Expected 'function' type.`
                   if (toolCallDelta.id == null) {
-                    throw new import_provider.InvalidResponseDataError({
+                    throw new import_provider2.InvalidResponseDataError({
                       data: toolCallDelta,
@@ -396,3 +488,3 @@ message: `Expected 'id' to be a string.`
                   if (((_a = toolCallDelta.function) == null ? void 0 : _a.name) == null) {
-                    throw new import_provider.InvalidResponseDataError({
+                    throw new import_provider2.InvalidResponseDataError({
                       data: toolCallDelta,
@@ -464,3 +556,3 @@ message: `Expected 'function.name' to be a string.`
       rawResponse: { headers: responseHeaders },
-      warnings: []
+      warnings
     };
@@ -474,6 +566,10 @@ }
         role: import_zod2.z.literal("assistant"),
-        content: import_zod2.z.string().nullable().optional(),
+        content: import_zod2.z.string().nullish(),
+        function_call: import_zod2.z.object({
+          arguments: import_zod2.z.string(),
+          name: import_zod2.z.string()
+        }).nullish(),
         tool_calls: import_zod2.z.array(
           import_zod2.z.object({
-            id: import_zod2.z.string().optional().nullable(),
+            id: import_zod2.z.string().nullish(),
             type: import_zod2.z.literal("function"),
@@ -485,3 +581,3 @@ function: import_zod2.z.object({
           })
-        ).optional()
+        ).nullish()
       }),
@@ -502,4 +598,4 @@ index: import_zod2.z.number(),
         ).nullable()
-      }).nullable().optional(),
-      finish_reason: import_zod2.z.string().optional().nullable()
+      }).nullish(),
+      finish_reason: import_zod2.z.string().nullish()
     })
@@ -519,2 +615,6 @@ ),
           content: import_zod2.z.string().nullish(),
+          function_call: import_zod2.z.object({
+            name: import_zod2.z.string().optional(),
+            arguments: import_zod2.z.string().optional()
+          }).nullish(),
           tool_calls: import_zod2.z.array(
@@ -557,3 +657,6 @@ import_zod2.z.object({
 ]);
-function prepareToolsAndToolChoice(mode) {
+function prepareToolsAndToolChoice({
+  mode,
+  useLegacyFunctionCalling = false
+}) {
   var _a;
@@ -564,2 +667,32 @@ const tools = ((_a = mode.tools) == null ? void 0 : _a.length) ? mode.tools : void 0;
   }
+  const toolChoice = mode.toolChoice;
+  if (useLegacyFunctionCalling) {
+    const mappedFunctions = tools.map((tool) => ({
+      name: tool.name,
+      description: tool.description,
+      parameters: tool.parameters
+    }));
+    if (toolChoice == null) {
+      return { functions: mappedFunctions, function_call: void 0 };
+    }
+    const type2 = toolChoice.type;
+    switch (type2) {
+      case "auto":
+      case "none":
+      case void 0:
+        return {
+          functions: mappedFunctions,
+          function_call: void 0
+        };
+      case "required":
+        throw new import_provider2.UnsupportedFunctionalityError({
+          functionality: "useLegacyFunctionCalling and toolChoice: required"
+        });
+      default:
+        return {
+          functions: mappedFunctions,
+          function_call: { name: toolChoice.toolName }
+        };
+    }
+  }
   const mappedTools = tools.map((tool) => ({
@@ -573,3 +706,2 @@ type: "function",
   }));
-  const toolChoice = mode.toolChoice;
   if (toolChoice == null) {
@@ -602,3 +734,3 @@ return { tools: mappedTools, tool_choice: void 0 };
 // src/openai-completion-language-model.ts
-var import_provider3 = require("@ai-sdk/provider");
+var import_provider4 = require("@ai-sdk/provider");
 var import_provider_utils4 = require("@ai-sdk/provider-utils");
@@ -608,3 +740,3 @@ var import_zod3 = require("zod");
 // src/convert-to-openai-completion-prompt.ts
-var import_provider2 = require("@ai-sdk/provider");
+var import_provider3 = require("@ai-sdk/provider");
 function convertToOpenAICompletionPrompt({
@@ -629,3 +761,3 @@ prompt,
       case "system": {
-        throw new import_provider2.InvalidPromptError({
+        throw new import_provider3.InvalidPromptError({
           message: "Unexpected system message in prompt: ${content}",
@@ -642,3 +774,3 @@ prompt
             case "image": {
-              throw new import_provider2.UnsupportedFunctionalityError({
+              throw new import_provider3.UnsupportedFunctionalityError({
                 functionality: "images"
@@ -662,3 +794,3 @@ });
             case "tool-call": {
-              throw new import_provider2.UnsupportedFunctionalityError({
+              throw new import_provider3.UnsupportedFunctionalityError({
                 functionality: "tool-call messages"
@@ -676,3 +808,3 @@ });
       case "tool": {
-        throw new import_provider2.UnsupportedFunctionalityError({
+        throw new import_provider3.UnsupportedFunctionalityError({
           functionality: "tool messages"
@@ -729,4 +861,7 @@ });
     topP,
+    topK,
     frequencyPenalty,
     presencePenalty,
+    stopSequences: userStopSequences,
+    responseFormat,
     seed
@@ -736,3 +871,18 @@ }) {
     const type = mode.type;
+    const warnings = [];
+    if (topK != null) {
+      warnings.push({
+        type: "unsupported-setting",
+        setting: "topK"
+      });
+    }
+    if (responseFormat != null && responseFormat.type !== "text") {
+      warnings.push({
+        type: "unsupported-setting",
+        setting: "responseFormat",
+        details: "JSON response format is not supported."
+      });
+    }
     const { prompt: completionPrompt, stopSequences } = convertToOpenAICompletionPrompt({ prompt, inputFormat });
+    const stop = [...stopSequences != null ? stopSequences : [], ...userStopSequences != null ? userStopSequences : []];
     const baseArgs = {
@@ -757,3 +907,3 @@ // model id:
       // stop sequences:
-      stop: stopSequences
+      stop: stop.length > 0 ? stop : void 0
     };
@@ -763,3 +913,3 @@ switch (type) {
         if ((_a = mode.tools) == null ? void 0 : _a.length) {
-          throw new import_provider3.UnsupportedFunctionalityError({
+          throw new import_provider4.UnsupportedFunctionalityError({
             functionality: "tools"
@@ -769,10 +919,10 @@ });
         if (mode.toolChoice) {
-          throw new import_provider3.UnsupportedFunctionalityError({
+          throw new import_provider4.UnsupportedFunctionalityError({
             functionality: "toolChoice"
           });
         }
-        return baseArgs;
+        return { args: baseArgs, warnings };
       }
       case "object-json": {
-        throw new import_provider3.UnsupportedFunctionalityError({
+        throw new import_provider4.UnsupportedFunctionalityError({
           functionality: "object-json mode"
@@ -782,11 +932,6 @@ });
       case "object-tool": {
-        throw new import_provider3.UnsupportedFunctionalityError({
+        throw new import_provider4.UnsupportedFunctionalityError({
           functionality: "object-tool mode"
         });
       }
-      case "object-grammar": {
-        throw new import_provider3.UnsupportedFunctionalityError({
-          functionality: "object-grammar mode"
-        });
-      }
       default: {
@@ -799,3 +944,3 @@ const _exhaustiveCheck = type;
   async doGenerate(options) {
-    const args = this.getArgs(options);
+    const { args, warnings } = this.getArgs(options);
     const { responseHeaders, value: response } = await (0, import_provider_utils4.postJsonToApi)({
@@ -827,7 +972,7 @@ url: this.config.url({
       rawResponse: { headers: responseHeaders },
-      warnings: []
+      warnings
     };
   }
   async doStream(options) {
-    const args = this.getArgs(options);
+    const { args, warnings } = this.getArgs(options);
     const { responseHeaders, value: response } = await (0, import_provider_utils4.postJsonToApi)({
@@ -840,3 +985,3 @@ url: this.config.url({
       body: {
-        ...this.getArgs(options),
+        ...args,
         stream: true,
@@ -912,3 +1057,3 @@ // only include stream_options when in strict compatibility mode:
       rawResponse: { headers: responseHeaders },
-      warnings: []
+      warnings
     };
@@ -1007,3 +1152,3 @@ }
 // src/openai-embedding-model.ts
-var import_provider4 = require("@ai-sdk/provider");
+var import_provider5 = require("@ai-sdk/provider");
 var import_provider_utils6 = require("@ai-sdk/provider-utils");
@@ -1035,3 +1180,3 @@ var import_zod4 = require("zod");
     if (values.length > this.maxEmbeddingsPerCall) {
-      throw new import_provider4.TooManyEmbeddingValuesForCallError({
+      throw new import_provider5.TooManyEmbeddingValuesForCallError({
         provider: this.provider,
@@ -1038,0 +1183,0 @@ modelId: this.modelId,

dist/index.d.ts

@@ -37,2 +37,14 @@ import { LanguageModelV1, EmbeddingModelV1 } from '@ai-sdk/provider';
     /**
+  Whether to use legacy function calling. Defaults to false.
+  
+  Required by some open source inference engines which do not support the `tools` API. May also
+  provide a workaround for `parallelToolCalls` resulting in the provider buffering tool calls,
+  which causes `streamObject` to be non-streaming.
+  
+  Prefer setting `parallelToolCalls: false` over this option.
+  
+  @deprecated this API is supported but deprecated by OpenAI.
+     */
+    useLegacyFunctionCalling?: boolean;
+    /**
   A unique identifier representing your end-user, which can help OpenAI to
@@ -39,0 +51,0 @@ monitor and detect abuse. Learn more.

dist/index.js

@@ -33,3 +33,3 @@ "use strict";
 // src/openai-chat-language-model.ts
-var import_provider = require("@ai-sdk/provider");
+var import_provider2 = require("@ai-sdk/provider");
 var import_provider_utils3 = require("@ai-sdk/provider-utils");
@@ -39,4 +39,8 @@ var import_zod2 = require("zod");
 // src/convert-to-openai-chat-messages.ts
+var import_provider = require("@ai-sdk/provider");
 var import_provider_utils = require("@ai-sdk/provider-utils");
-function convertToOpenAIChatMessages(prompt) {
+function convertToOpenAIChatMessages({
+  prompt,
+  useLegacyFunctionCalling = false
+}) {
   const messages = [];
@@ -101,7 +105,20 @@ for (const { role, content } of prompt) {
         }
-        messages.push({
-          role: "assistant",
-          content: text,
-          tool_calls: toolCalls.length > 0 ? toolCalls : void 0
-        });
+        if (useLegacyFunctionCalling) {
+          if (toolCalls.length > 1) {
+            throw new import_provider.UnsupportedFunctionalityError({
+              functionality: "useLegacyFunctionCalling with multiple tool calls in one message"
+            });
+          }
+          messages.push({
+            role: "assistant",
+            content: text,
+            function_call: toolCalls.length > 0 ? toolCalls[0].function : void 0
+          });
+        } else {
+          messages.push({
+            role: "assistant",
+            content: text,
+            tool_calls: toolCalls.length > 0 ? toolCalls : void 0
+          });
+        }
         break;
@@ -111,7 +128,15 @@ }
         for (const toolResponse of content) {
-          messages.push({
-            role: "tool",
-            tool_call_id: toolResponse.toolCallId,
-            content: JSON.stringify(toolResponse.result)
-          });
+          if (useLegacyFunctionCalling) {
+            messages.push({
+              role: "function",
+              name: toolResponse.toolName,
+              content: JSON.stringify(toolResponse.result)
+            });
+          } else {
+            messages.push({
+              role: "tool",
+              tool_call_id: toolResponse.toolCallId,
+              content: JSON.stringify(toolResponse.result)
+            });
+          }
         }
@@ -193,7 +218,30 @@ break;
     topP,
+    topK,
     frequencyPenalty,
     presencePenalty,
+    stopSequences,
+    responseFormat,
     seed
   }) {
     const type = mode.type;
+    const warnings = [];
+    if (topK != null) {
+      warnings.push({
+        type: "unsupported-setting",
+        setting: "topK"
+      });
+    }
+    if (responseFormat != null && responseFormat.type === "json" && responseFormat.schema != null) {
+      warnings.push({
+        type: "unsupported-setting",
+        setting: "responseFormat",
+        details: "JSON response format schema is not supported"
+      });
+    }
+    const useLegacyFunctionCalling = this.settings.useLegacyFunctionCalling;
+    if (useLegacyFunctionCalling && this.settings.parallelToolCalls === true) {
+      throw new import_provider2.UnsupportedFunctionalityError({
+        functionality: "useLegacyFunctionCalling with parallelToolCalls"
+      });
+    }
     const baseArgs = {
@@ -214,14 +262,29 @@ // model id:
       presence_penalty: presencePenalty,
+      stop: stopSequences,
       seed,
+      // response format:
+      response_format: (responseFormat == null ? void 0 : responseFormat.type) === "json" ? { type: "json_object" } : void 0,
       // messages:
-      messages: convertToOpenAIChatMessages(prompt)
+      messages: convertToOpenAIChatMessages({
+        prompt,
+        useLegacyFunctionCalling
+      })
     };
     switch (type) {
       case "regular": {
-        return { ...baseArgs, ...prepareToolsAndToolChoice(mode) };
+        return {
+          args: {
+            ...baseArgs,
+            ...prepareToolsAndToolChoice({ mode, useLegacyFunctionCalling })
+          },
+          warnings
+        };
       }
       case "object-json": {
         return {
-          ...baseArgs,
-          response_format: { type: "json_object" }
+          args: {
+            ...baseArgs,
+            response_format: { type: "json_object" }
+          },
+          warnings
         };
@@ -231,8 +294,9 @@ }
         return {
-          ...baseArgs,
-          tool_choice: { type: "function", function: { name: mode.tool.name } },
-          tools: [
-            {
-              type: "function",
-              function: {
+          args: useLegacyFunctionCalling ? {
+            ...baseArgs,
+            function_call: {
+              name: mode.tool.name
+            },
+            functions: [
+              {
                 name: mode.tool.name,
@@ -242,11 +306,23 @@ description: mode.tool.description,
               }
-            }
-          ]
+            ]
+          } : {
+            ...baseArgs,
+            tool_choice: {
+              type: "function",
+              function: { name: mode.tool.name }
+            },
+            tools: [
+              {
+                type: "function",
+                function: {
+                  name: mode.tool.name,
+                  description: mode.tool.description,
+                  parameters: mode.tool.parameters
+                }
+              }
+            ]
+          },
+          warnings
         };
       }
-      case "object-grammar": {
-        throw new import_provider.UnsupportedFunctionalityError({
-          functionality: "object-grammar mode"
-        });
-      }
       default: {
@@ -260,3 +336,3 @@ const _exhaustiveCheck = type;
     var _a, _b;
-    const args = this.getArgs(options);
+    const { args, warnings } = this.getArgs(options);
     const { responseHeaders, value: response } = await (0, import_provider_utils3.postJsonToApi)({
@@ -280,3 +356,10 @@ url: this.config.url({
       text: (_a = choice.message.content) != null ? _a : void 0,
-      toolCalls: (_b = choice.message.tool_calls) == null ? void 0 : _b.map((toolCall) => {
+      toolCalls: this.settings.useLegacyFunctionCalling && choice.message.function_call ? [
+        {
+          toolCallType: "function",
+          toolCallId: (0, import_provider_utils3.generateId)(),
+          toolName: choice.message.function_call.name,
+          args: choice.message.function_call.arguments
+        }
+      ] : (_b = choice.message.tool_calls) == null ? void 0 : _b.map((toolCall) => {
         var _a2;
@@ -297,3 +380,3 @@ return {
       rawResponse: { headers: responseHeaders },
-      warnings: [],
+      warnings,
       logprobs: mapOpenAIChatLogProbsOutput(choice.logprobs)
@@ -303,3 +386,3 @@ };
   async doStream(options) {
-    const args = this.getArgs(options);
+    const { args, warnings } = this.getArgs(options);
     const { responseHeaders, value: response } = await (0, import_provider_utils3.postJsonToApi)({
@@ -332,2 +415,3 @@ url: this.config.url({
     let logprobs;
+    const { useLegacyFunctionCalling } = this.settings;
     return {
@@ -377,8 +461,16 @@ stream: response.pipeThrough(
             }
-            if (delta.tool_calls != null) {
-              for (const toolCallDelta of delta.tool_calls) {
+            const mappedToolCalls = useLegacyFunctionCalling && delta.function_call != null ? [
+              {
+                type: "function",
+                id: (0, import_provider_utils3.generateId)(),
+                function: delta.function_call,
+                index: 0
+              }
+            ] : delta.tool_calls;
+            if (mappedToolCalls != null) {
+              for (const toolCallDelta of mappedToolCalls) {
                 const index = toolCallDelta.index;
                 if (toolCalls[index] == null) {
                   if (toolCallDelta.type !== "function") {
-                    throw new import_provider.InvalidResponseDataError({
+                    throw new import_provider2.InvalidResponseDataError({
                       data: toolCallDelta,
@@ -389,3 +481,3 @@ message: `Expected 'function' type.`
                   if (toolCallDelta.id == null) {
-                    throw new import_provider.InvalidResponseDataError({
+                    throw new import_provider2.InvalidResponseDataError({
                       data: toolCallDelta,
@@ -396,3 +488,3 @@ message: `Expected 'id' to be a string.`
                   if (((_a = toolCallDelta.function) == null ? void 0 : _a.name) == null) {
-                    throw new import_provider.InvalidResponseDataError({
+                    throw new import_provider2.InvalidResponseDataError({
                       data: toolCallDelta,
@@ -464,3 +556,3 @@ message: `Expected 'function.name' to be a string.`
       rawResponse: { headers: responseHeaders },
-      warnings: []
+      warnings
     };
@@ -474,6 +566,10 @@ }
         role: import_zod2.z.literal("assistant"),
-        content: import_zod2.z.string().nullable().optional(),
+        content: import_zod2.z.string().nullish(),
+        function_call: import_zod2.z.object({
+          arguments: import_zod2.z.string(),
+          name: import_zod2.z.string()
+        }).nullish(),
         tool_calls: import_zod2.z.array(
           import_zod2.z.object({
-            id: import_zod2.z.string().optional().nullable(),
+            id: import_zod2.z.string().nullish(),
             type: import_zod2.z.literal("function"),
@@ -485,3 +581,3 @@ function: import_zod2.z.object({
           })
-        ).optional()
+        ).nullish()
       }),
@@ -502,4 +598,4 @@ index: import_zod2.z.number(),
         ).nullable()
-      }).nullable().optional(),
-      finish_reason: import_zod2.z.string().optional().nullable()
+      }).nullish(),
+      finish_reason: import_zod2.z.string().nullish()
     })
@@ -519,2 +615,6 @@ ),
           content: import_zod2.z.string().nullish(),
+          function_call: import_zod2.z.object({
+            name: import_zod2.z.string().optional(),
+            arguments: import_zod2.z.string().optional()
+          }).nullish(),
           tool_calls: import_zod2.z.array(
@@ -557,3 +657,6 @@ import_zod2.z.object({
 ]);
-function prepareToolsAndToolChoice(mode) {
+function prepareToolsAndToolChoice({
+  mode,
+  useLegacyFunctionCalling = false
+}) {
   var _a;
@@ -564,2 +667,32 @@ const tools = ((_a = mode.tools) == null ? void 0 : _a.length) ? mode.tools : void 0;
   }
+  const toolChoice = mode.toolChoice;
+  if (useLegacyFunctionCalling) {
+    const mappedFunctions = tools.map((tool) => ({
+      name: tool.name,
+      description: tool.description,
+      parameters: tool.parameters
+    }));
+    if (toolChoice == null) {
+      return { functions: mappedFunctions, function_call: void 0 };
+    }
+    const type2 = toolChoice.type;
+    switch (type2) {
+      case "auto":
+      case "none":
+      case void 0:
+        return {
+          functions: mappedFunctions,
+          function_call: void 0
+        };
+      case "required":
+        throw new import_provider2.UnsupportedFunctionalityError({
+          functionality: "useLegacyFunctionCalling and toolChoice: required"
+        });
+      default:
+        return {
+          functions: mappedFunctions,
+          function_call: { name: toolChoice.toolName }
+        };
+    }
+  }
   const mappedTools = tools.map((tool) => ({
@@ -573,3 +706,2 @@ type: "function",
   }));
-  const toolChoice = mode.toolChoice;
   if (toolChoice == null) {
@@ -602,3 +734,3 @@ return { tools: mappedTools, tool_choice: void 0 };
 // src/openai-completion-language-model.ts
-var import_provider3 = require("@ai-sdk/provider");
+var import_provider4 = require("@ai-sdk/provider");
 var import_provider_utils4 = require("@ai-sdk/provider-utils");
@@ -608,3 +740,3 @@ var import_zod3 = require("zod");
 // src/convert-to-openai-completion-prompt.ts
-var import_provider2 = require("@ai-sdk/provider");
+var import_provider3 = require("@ai-sdk/provider");
 function convertToOpenAICompletionPrompt({
@@ -629,3 +761,3 @@ prompt,
       case "system": {
-        throw new import_provider2.InvalidPromptError({
+        throw new import_provider3.InvalidPromptError({
           message: "Unexpected system message in prompt: ${content}",
@@ -642,3 +774,3 @@ prompt
             case "image": {
-              throw new import_provider2.UnsupportedFunctionalityError({
+              throw new import_provider3.UnsupportedFunctionalityError({
                 functionality: "images"
@@ -662,3 +794,3 @@ });
             case "tool-call": {
-              throw new import_provider2.UnsupportedFunctionalityError({
+              throw new import_provider3.UnsupportedFunctionalityError({
                 functionality: "tool-call messages"
@@ -676,3 +808,3 @@ });
       case "tool": {
-        throw new import_provider2.UnsupportedFunctionalityError({
+        throw new import_provider3.UnsupportedFunctionalityError({
           functionality: "tool messages"
@@ -729,4 +861,7 @@ });
     topP,
+    topK,
     frequencyPenalty,
     presencePenalty,
+    stopSequences: userStopSequences,
+    responseFormat,
     seed
@@ -736,3 +871,18 @@ }) {
     const type = mode.type;
+    const warnings = [];
+    if (topK != null) {
+      warnings.push({
+        type: "unsupported-setting",
+        setting: "topK"
+      });
+    }
+    if (responseFormat != null && responseFormat.type !== "text") {
+      warnings.push({
+        type: "unsupported-setting",
+        setting: "responseFormat",
+        details: "JSON response format is not supported."
+      });
+    }
     const { prompt: completionPrompt, stopSequences } = convertToOpenAICompletionPrompt({ prompt, inputFormat });
+    const stop = [...stopSequences != null ? stopSequences : [], ...userStopSequences != null ? userStopSequences : []];
     const baseArgs = {
@@ -757,3 +907,3 @@ // model id:
       // stop sequences:
-      stop: stopSequences
+      stop: stop.length > 0 ? stop : void 0
     };
@@ -763,3 +913,3 @@ switch (type) {
         if ((_a = mode.tools) == null ? void 0 : _a.length) {
-          throw new import_provider3.UnsupportedFunctionalityError({
+          throw new import_provider4.UnsupportedFunctionalityError({
             functionality: "tools"
@@ -769,10 +919,10 @@ });
         if (mode.toolChoice) {
-          throw new import_provider3.UnsupportedFunctionalityError({
+          throw new import_provider4.UnsupportedFunctionalityError({
             functionality: "toolChoice"
           });
         }
-        return baseArgs;
+        return { args: baseArgs, warnings };
       }
       case "object-json": {
-        throw new import_provider3.UnsupportedFunctionalityError({
+        throw new import_provider4.UnsupportedFunctionalityError({
           functionality: "object-json mode"
@@ -782,11 +932,6 @@ });
       case "object-tool": {
-        throw new import_provider3.UnsupportedFunctionalityError({
+        throw new import_provider4.UnsupportedFunctionalityError({
           functionality: "object-tool mode"
         });
       }
-      case "object-grammar": {
-        throw new import_provider3.UnsupportedFunctionalityError({
-          functionality: "object-grammar mode"
-        });
-      }
       default: {
@@ -799,3 +944,3 @@ const _exhaustiveCheck = type;
   async doGenerate(options) {
-    const args = this.getArgs(options);
+    const { args, warnings } = this.getArgs(options);
     const { responseHeaders, value: response } = await (0, import_provider_utils4.postJsonToApi)({
@@ -827,7 +972,7 @@ url: this.config.url({
       rawResponse: { headers: responseHeaders },
-      warnings: []
+      warnings
     };
   }
   async doStream(options) {
-    const args = this.getArgs(options);
+    const { args, warnings } = this.getArgs(options);
     const { responseHeaders, value: response } = await (0, import_provider_utils4.postJsonToApi)({
@@ -840,3 +985,3 @@ url: this.config.url({
       body: {
-        ...this.getArgs(options),
+        ...args,
         stream: true,
@@ -912,3 +1057,3 @@ // only include stream_options when in strict compatibility mode:
       rawResponse: { headers: responseHeaders },
-      warnings: []
+      warnings
     };
@@ -1007,3 +1152,3 @@ }
 // src/openai-embedding-model.ts
-var import_provider4 = require("@ai-sdk/provider");
+var import_provider5 = require("@ai-sdk/provider");
 var import_provider_utils6 = require("@ai-sdk/provider-utils");
@@ -1035,3 +1180,3 @@ var import_zod4 = require("zod");
     if (values.length > this.maxEmbeddingsPerCall) {
-      throw new import_provider4.TooManyEmbeddingValuesForCallError({
+      throw new import_provider5.TooManyEmbeddingValuesForCallError({
         provider: this.provider,
@@ -1038,0 +1183,0 @@ modelId: this.modelId,

internal/dist/index.d.ts

@@ -37,2 +37,14 @@ import { LanguageModelV1, EmbeddingModelV1 } from '@ai-sdk/provider';
     /**
+  Whether to use legacy function calling. Defaults to false.
+  
+  Required by some open source inference engines which do not support the `tools` API. May also
+  provide a workaround for `parallelToolCalls` resulting in the provider buffering tool calls,
+  which causes `streamObject` to be non-streaming.
+  
+  Prefer setting `parallelToolCalls: false` over this option.
+  
+  @deprecated this API is supported but deprecated by OpenAI.
+     */
+    useLegacyFunctionCalling?: boolean;
+    /**
   A unique identifier representing your end-user, which can help OpenAI to
@@ -39,0 +51,0 @@ monitor and detect abuse. Learn more.

internal/dist/index.js

@@ -30,3 +30,3 @@ "use strict";
 // src/openai-chat-language-model.ts
-var import_provider = require("@ai-sdk/provider");
+var import_provider2 = require("@ai-sdk/provider");
 var import_provider_utils3 = require("@ai-sdk/provider-utils");
@@ -36,4 +36,8 @@ var import_zod2 = require("zod");
 // src/convert-to-openai-chat-messages.ts
+var import_provider = require("@ai-sdk/provider");
 var import_provider_utils = require("@ai-sdk/provider-utils");
-function convertToOpenAIChatMessages(prompt) {
+function convertToOpenAIChatMessages({
+  prompt,
+  useLegacyFunctionCalling = false
+}) {
   const messages = [];
@@ -98,7 +102,20 @@ for (const { role, content } of prompt) {
         }
-        messages.push({
-          role: "assistant",
-          content: text,
-          tool_calls: toolCalls.length > 0 ? toolCalls : void 0
-        });
+        if (useLegacyFunctionCalling) {
+          if (toolCalls.length > 1) {
+            throw new import_provider.UnsupportedFunctionalityError({
+              functionality: "useLegacyFunctionCalling with multiple tool calls in one message"
+            });
+          }
+          messages.push({
+            role: "assistant",
+            content: text,
+            function_call: toolCalls.length > 0 ? toolCalls[0].function : void 0
+          });
+        } else {
+          messages.push({
+            role: "assistant",
+            content: text,
+            tool_calls: toolCalls.length > 0 ? toolCalls : void 0
+          });
+        }
         break;
@@ -108,7 +125,15 @@ }
         for (const toolResponse of content) {
-          messages.push({
-            role: "tool",
-            tool_call_id: toolResponse.toolCallId,
-            content: JSON.stringify(toolResponse.result)
-          });
+          if (useLegacyFunctionCalling) {
+            messages.push({
+              role: "function",
+              name: toolResponse.toolName,
+              content: JSON.stringify(toolResponse.result)
+            });
+          } else {
+            messages.push({
+              role: "tool",
+              tool_call_id: toolResponse.toolCallId,
+              content: JSON.stringify(toolResponse.result)
+            });
+          }
         }
@@ -190,7 +215,30 @@ break;
     topP,
+    topK,
     frequencyPenalty,
     presencePenalty,
+    stopSequences,
+    responseFormat,
     seed
   }) {
     const type = mode.type;
+    const warnings = [];
+    if (topK != null) {
+      warnings.push({
+        type: "unsupported-setting",
+        setting: "topK"
+      });
+    }
+    if (responseFormat != null && responseFormat.type === "json" && responseFormat.schema != null) {
+      warnings.push({
+        type: "unsupported-setting",
+        setting: "responseFormat",
+        details: "JSON response format schema is not supported"
+      });
+    }
+    const useLegacyFunctionCalling = this.settings.useLegacyFunctionCalling;
+    if (useLegacyFunctionCalling && this.settings.parallelToolCalls === true) {
+      throw new import_provider2.UnsupportedFunctionalityError({
+        functionality: "useLegacyFunctionCalling with parallelToolCalls"
+      });
+    }
     const baseArgs = {
@@ -211,14 +259,29 @@ // model id:
       presence_penalty: presencePenalty,
+      stop: stopSequences,
       seed,
+      // response format:
+      response_format: (responseFormat == null ? void 0 : responseFormat.type) === "json" ? { type: "json_object" } : void 0,
       // messages:
-      messages: convertToOpenAIChatMessages(prompt)
+      messages: convertToOpenAIChatMessages({
+        prompt,
+        useLegacyFunctionCalling
+      })
     };
     switch (type) {
       case "regular": {
-        return { ...baseArgs, ...prepareToolsAndToolChoice(mode) };
+        return {
+          args: {
+            ...baseArgs,
+            ...prepareToolsAndToolChoice({ mode, useLegacyFunctionCalling })
+          },
+          warnings
+        };
       }
       case "object-json": {
         return {
-          ...baseArgs,
-          response_format: { type: "json_object" }
+          args: {
+            ...baseArgs,
+            response_format: { type: "json_object" }
+          },
+          warnings
         };
@@ -228,8 +291,9 @@ }
         return {
-          ...baseArgs,
-          tool_choice: { type: "function", function: { name: mode.tool.name } },
-          tools: [
-            {
-              type: "function",
-              function: {
+          args: useLegacyFunctionCalling ? {
+            ...baseArgs,
+            function_call: {
+              name: mode.tool.name
+            },
+            functions: [
+              {
                 name: mode.tool.name,
@@ -239,11 +303,23 @@ description: mode.tool.description,
               }
-            }
-          ]
+            ]
+          } : {
+            ...baseArgs,
+            tool_choice: {
+              type: "function",
+              function: { name: mode.tool.name }
+            },
+            tools: [
+              {
+                type: "function",
+                function: {
+                  name: mode.tool.name,
+                  description: mode.tool.description,
+                  parameters: mode.tool.parameters
+                }
+              }
+            ]
+          },
+          warnings
         };
       }
-      case "object-grammar": {
-        throw new import_provider.UnsupportedFunctionalityError({
-          functionality: "object-grammar mode"
-        });
-      }
       default: {
@@ -257,3 +333,3 @@ const _exhaustiveCheck = type;
     var _a, _b;
-    const args = this.getArgs(options);
+    const { args, warnings } = this.getArgs(options);
     const { responseHeaders, value: response } = await (0, import_provider_utils3.postJsonToApi)({
@@ -277,3 +353,10 @@ url: this.config.url({
       text: (_a = choice.message.content) != null ? _a : void 0,
-      toolCalls: (_b = choice.message.tool_calls) == null ? void 0 : _b.map((toolCall) => {
+      toolCalls: this.settings.useLegacyFunctionCalling && choice.message.function_call ? [
+        {
+          toolCallType: "function",
+          toolCallId: (0, import_provider_utils3.generateId)(),
+          toolName: choice.message.function_call.name,
+          args: choice.message.function_call.arguments
+        }
+      ] : (_b = choice.message.tool_calls) == null ? void 0 : _b.map((toolCall) => {
         var _a2;
@@ -294,3 +377,3 @@ return {
       rawResponse: { headers: responseHeaders },
-      warnings: [],
+      warnings,
       logprobs: mapOpenAIChatLogProbsOutput(choice.logprobs)
@@ -300,3 +383,3 @@ };
   async doStream(options) {
-    const args = this.getArgs(options);
+    const { args, warnings } = this.getArgs(options);
     const { responseHeaders, value: response } = await (0, import_provider_utils3.postJsonToApi)({
@@ -329,2 +412,3 @@ url: this.config.url({
     let logprobs;
+    const { useLegacyFunctionCalling } = this.settings;
     return {
@@ -374,8 +458,16 @@ stream: response.pipeThrough(
             }
-            if (delta.tool_calls != null) {
-              for (const toolCallDelta of delta.tool_calls) {
+            const mappedToolCalls = useLegacyFunctionCalling && delta.function_call != null ? [
+              {
+                type: "function",
+                id: (0, import_provider_utils3.generateId)(),
+                function: delta.function_call,
+                index: 0
+              }
+            ] : delta.tool_calls;
+            if (mappedToolCalls != null) {
+              for (const toolCallDelta of mappedToolCalls) {
                 const index = toolCallDelta.index;
                 if (toolCalls[index] == null) {
                   if (toolCallDelta.type !== "function") {
-                    throw new import_provider.InvalidResponseDataError({
+                    throw new import_provider2.InvalidResponseDataError({
                       data: toolCallDelta,
@@ -386,3 +478,3 @@ message: `Expected 'function' type.`
                   if (toolCallDelta.id == null) {
-                    throw new import_provider.InvalidResponseDataError({
+                    throw new import_provider2.InvalidResponseDataError({
                       data: toolCallDelta,
@@ -393,3 +485,3 @@ message: `Expected 'id' to be a string.`
                   if (((_a = toolCallDelta.function) == null ? void 0 : _a.name) == null) {
-                    throw new import_provider.InvalidResponseDataError({
+                    throw new import_provider2.InvalidResponseDataError({
                       data: toolCallDelta,
@@ -461,3 +553,3 @@ message: `Expected 'function.name' to be a string.`
       rawResponse: { headers: responseHeaders },
-      warnings: []
+      warnings
     };
@@ -471,6 +563,10 @@ }
         role: import_zod2.z.literal("assistant"),
-        content: import_zod2.z.string().nullable().optional(),
+        content: import_zod2.z.string().nullish(),
+        function_call: import_zod2.z.object({
+          arguments: import_zod2.z.string(),
+          name: import_zod2.z.string()
+        }).nullish(),
         tool_calls: import_zod2.z.array(
           import_zod2.z.object({
-            id: import_zod2.z.string().optional().nullable(),
+            id: import_zod2.z.string().nullish(),
             type: import_zod2.z.literal("function"),
@@ -482,3 +578,3 @@ function: import_zod2.z.object({
           })
-        ).optional()
+        ).nullish()
       }),
@@ -499,4 +595,4 @@ index: import_zod2.z.number(),
         ).nullable()
-      }).nullable().optional(),
-      finish_reason: import_zod2.z.string().optional().nullable()
+      }).nullish(),
+      finish_reason: import_zod2.z.string().nullish()
     })
@@ -516,2 +612,6 @@ ),
           content: import_zod2.z.string().nullish(),
+          function_call: import_zod2.z.object({
+            name: import_zod2.z.string().optional(),
+            arguments: import_zod2.z.string().optional()
+          }).nullish(),
           tool_calls: import_zod2.z.array(
@@ -554,3 +654,6 @@ import_zod2.z.object({
 ]);
-function prepareToolsAndToolChoice(mode) {
+function prepareToolsAndToolChoice({
+  mode,
+  useLegacyFunctionCalling = false
+}) {
   var _a;
@@ -561,2 +664,32 @@ const tools = ((_a = mode.tools) == null ? void 0 : _a.length) ? mode.tools : void 0;
   }
+  const toolChoice = mode.toolChoice;
+  if (useLegacyFunctionCalling) {
+    const mappedFunctions = tools.map((tool) => ({
+      name: tool.name,
+      description: tool.description,
+      parameters: tool.parameters
+    }));
+    if (toolChoice == null) {
+      return { functions: mappedFunctions, function_call: void 0 };
+    }
+    const type2 = toolChoice.type;
+    switch (type2) {
+      case "auto":
+      case "none":
+      case void 0:
+        return {
+          functions: mappedFunctions,
+          function_call: void 0
+        };
+      case "required":
+        throw new import_provider2.UnsupportedFunctionalityError({
+          functionality: "useLegacyFunctionCalling and toolChoice: required"
+        });
+      default:
+        return {
+          functions: mappedFunctions,
+          function_call: { name: toolChoice.toolName }
+        };
+    }
+  }
   const mappedTools = tools.map((tool) => ({
@@ -570,3 +703,2 @@ type: "function",
   }));
-  const toolChoice = mode.toolChoice;
   if (toolChoice == null) {
@@ -599,3 +731,3 @@ return { tools: mappedTools, tool_choice: void 0 };
 // src/openai-completion-language-model.ts
-var import_provider3 = require("@ai-sdk/provider");
+var import_provider4 = require("@ai-sdk/provider");
 var import_provider_utils4 = require("@ai-sdk/provider-utils");
@@ -605,3 +737,3 @@ var import_zod3 = require("zod");
 // src/convert-to-openai-completion-prompt.ts
-var import_provider2 = require("@ai-sdk/provider");
+var import_provider3 = require("@ai-sdk/provider");
 function convertToOpenAICompletionPrompt({
@@ -626,3 +758,3 @@ prompt,
       case "system": {
-        throw new import_provider2.InvalidPromptError({
+        throw new import_provider3.InvalidPromptError({
           message: "Unexpected system message in prompt: ${content}",
@@ -639,3 +771,3 @@ prompt
             case "image": {
-              throw new import_provider2.UnsupportedFunctionalityError({
+              throw new import_provider3.UnsupportedFunctionalityError({
                 functionality: "images"
@@ -659,3 +791,3 @@ });
             case "tool-call": {
-              throw new import_provider2.UnsupportedFunctionalityError({
+              throw new import_provider3.UnsupportedFunctionalityError({
                 functionality: "tool-call messages"
@@ -673,3 +805,3 @@ });
       case "tool": {
-        throw new import_provider2.UnsupportedFunctionalityError({
+        throw new import_provider3.UnsupportedFunctionalityError({
           functionality: "tool messages"
@@ -726,4 +858,7 @@ });
     topP,
+    topK,
     frequencyPenalty,
     presencePenalty,
+    stopSequences: userStopSequences,
+    responseFormat,
     seed
@@ -733,3 +868,18 @@ }) {
     const type = mode.type;
+    const warnings = [];
+    if (topK != null) {
+      warnings.push({
+        type: "unsupported-setting",
+        setting: "topK"
+      });
+    }
+    if (responseFormat != null && responseFormat.type !== "text") {
+      warnings.push({
+        type: "unsupported-setting",
+        setting: "responseFormat",
+        details: "JSON response format is not supported."
+      });
+    }
     const { prompt: completionPrompt, stopSequences } = convertToOpenAICompletionPrompt({ prompt, inputFormat });
+    const stop = [...stopSequences != null ? stopSequences : [], ...userStopSequences != null ? userStopSequences : []];
     const baseArgs = {
@@ -754,3 +904,3 @@ // model id:
       // stop sequences:
-      stop: stopSequences
+      stop: stop.length > 0 ? stop : void 0
     };
@@ -760,3 +910,3 @@ switch (type) {
         if ((_a = mode.tools) == null ? void 0 : _a.length) {
-          throw new import_provider3.UnsupportedFunctionalityError({
+          throw new import_provider4.UnsupportedFunctionalityError({
             functionality: "tools"
@@ -766,10 +916,10 @@ });
         if (mode.toolChoice) {
-          throw new import_provider3.UnsupportedFunctionalityError({
+          throw new import_provider4.UnsupportedFunctionalityError({
             functionality: "toolChoice"
           });
         }
-        return baseArgs;
+        return { args: baseArgs, warnings };
       }
       case "object-json": {
-        throw new import_provider3.UnsupportedFunctionalityError({
+        throw new import_provider4.UnsupportedFunctionalityError({
           functionality: "object-json mode"
@@ -779,11 +929,6 @@ });
       case "object-tool": {
-        throw new import_provider3.UnsupportedFunctionalityError({
+        throw new import_provider4.UnsupportedFunctionalityError({
           functionality: "object-tool mode"
         });
       }
-      case "object-grammar": {
-        throw new import_provider3.UnsupportedFunctionalityError({
-          functionality: "object-grammar mode"
-        });
-      }
       default: {
@@ -796,3 +941,3 @@ const _exhaustiveCheck = type;
   async doGenerate(options) {
-    const args = this.getArgs(options);
+    const { args, warnings } = this.getArgs(options);
     const { responseHeaders, value: response } = await (0, import_provider_utils4.postJsonToApi)({
@@ -824,7 +969,7 @@ url: this.config.url({
       rawResponse: { headers: responseHeaders },
-      warnings: []
+      warnings
     };
   }
   async doStream(options) {
-    const args = this.getArgs(options);
+    const { args, warnings } = this.getArgs(options);
     const { responseHeaders, value: response } = await (0, import_provider_utils4.postJsonToApi)({
@@ -837,3 +982,3 @@ url: this.config.url({
       body: {
-        ...this.getArgs(options),
+        ...args,
         stream: true,
@@ -909,3 +1054,3 @@ // only include stream_options when in strict compatibility mode:
       rawResponse: { headers: responseHeaders },
-      warnings: []
+      warnings
     };
@@ -954,3 +1099,3 @@ }
 // src/openai-embedding-model.ts
-var import_provider4 = require("@ai-sdk/provider");
+var import_provider5 = require("@ai-sdk/provider");
 var import_provider_utils5 = require("@ai-sdk/provider-utils");
@@ -982,3 +1127,3 @@ var import_zod4 = require("zod");
     if (values.length > this.maxEmbeddingsPerCall) {
-      throw new import_provider4.TooManyEmbeddingValuesForCallError({
+      throw new import_provider5.TooManyEmbeddingValuesForCallError({
         provider: this.provider,
@@ -985,0 +1130,0 @@ modelId: this.modelId,

package.json

 {
   "name": "@ai-sdk/openai",
-  "version": "0.0.37",
+  "version": "0.0.38",
   "license": "Apache-2.0",
@@ -28,4 +28,4 @@ "sideEffects": false,
   "dependencies": {
-    "@ai-sdk/provider": "0.0.12",
-    "@ai-sdk/provider-utils": "1.0.2"
+    "@ai-sdk/provider": "0.0.13",
+    "@ai-sdk/provider-utils": "1.0.3"
   },
@@ -32,0 +32,0 @@ "devDependencies": {

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Total package byte prevSize

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increased by12.2%

Lines of code

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increased by13.32%

Dependency changes

• + Added@ai-sdk/provider@0.0.13(transitive)

• + Added@ai-sdk/provider-utils@1.0.3(transitive)

• - Removed@ai-sdk/provider@0.0.12(transitive)

• - Removed@ai-sdk/provider-utils@1.0.2(transitive)

• Updated@ai-sdk/provider@0.0.13

• Updated@ai-sdk/provider-utils@1.0.3