@langchain/openai - npm Package Compare versions

Comparing version 1.2.7 to 1.2.8-dev-1771365493298

dist/azure/chat_models/common.cjs

@@ -1,5 +0,4 @@
-const require_rolldown_runtime = require('../../_virtual/rolldown_runtime.cjs');
 const require_azure = require('../../utils/azure.cjs');
-const openai = require_rolldown_runtime.__toESM(require("openai"));
-const __langchain_core_utils_env = require_rolldown_runtime.__toESM(require("@langchain/core/utils/env"));
+let openai = require("openai");
+let _langchain_core_utils_env = require("@langchain/core/utils/env");
 
@@ -30,8 +29,8 @@ //#region src/azure/chat_models/common.ts
 function _constructAzureFields(fields) {
-	this.azureOpenAIApiKey = fields?.azureOpenAIApiKey ?? (typeof fields?.openAIApiKey === "string" ? fields?.openAIApiKey : void 0) ?? (typeof fields?.apiKey === "string" ? fields?.apiKey : void 0) ?? (0, __langchain_core_utils_env.getEnvironmentVariable)("AZURE_OPENAI_API_KEY");
-	this.azureOpenAIApiInstanceName = fields?.azureOpenAIApiInstanceName ?? (0, __langchain_core_utils_env.getEnvironmentVariable)("AZURE_OPENAI_API_INSTANCE_NAME");
-	this.azureOpenAIApiDeploymentName = fields?.azureOpenAIApiDeploymentName ?? fields?.deploymentName ?? (0, __langchain_core_utils_env.getEnvironmentVariable)("AZURE_OPENAI_API_DEPLOYMENT_NAME");
-	this.azureOpenAIApiVersion = fields?.azureOpenAIApiVersion ?? fields?.openAIApiVersion ?? (0, __langchain_core_utils_env.getEnvironmentVariable)("AZURE_OPENAI_API_VERSION");
-	this.azureOpenAIBasePath = fields?.azureOpenAIBasePath ?? (0, __langchain_core_utils_env.getEnvironmentVariable)("AZURE_OPENAI_BASE_PATH");
-	this.azureOpenAIEndpoint = fields?.azureOpenAIEndpoint ?? (0, __langchain_core_utils_env.getEnvironmentVariable)("AZURE_OPENAI_ENDPOINT");
+	this.azureOpenAIApiKey = fields?.azureOpenAIApiKey ?? (typeof fields?.openAIApiKey === "string" ? fields?.openAIApiKey : void 0) ?? (typeof fields?.apiKey === "string" ? fields?.apiKey : void 0) ?? (0, _langchain_core_utils_env.getEnvironmentVariable)("AZURE_OPENAI_API_KEY");
+	this.azureOpenAIApiInstanceName = fields?.azureOpenAIApiInstanceName ?? (0, _langchain_core_utils_env.getEnvironmentVariable)("AZURE_OPENAI_API_INSTANCE_NAME");
+	this.azureOpenAIApiDeploymentName = fields?.azureOpenAIApiDeploymentName ?? fields?.deploymentName ?? (0, _langchain_core_utils_env.getEnvironmentVariable)("AZURE_OPENAI_API_DEPLOYMENT_NAME");
+	this.azureOpenAIApiVersion = fields?.azureOpenAIApiVersion ?? fields?.openAIApiVersion ?? (0, _langchain_core_utils_env.getEnvironmentVariable)("AZURE_OPENAI_API_VERSION");
+	this.azureOpenAIBasePath = fields?.azureOpenAIBasePath ?? (0, _langchain_core_utils_env.getEnvironmentVariable)("AZURE_OPENAI_BASE_PATH");
+	this.azureOpenAIEndpoint = fields?.azureOpenAIEndpoint ?? (0, _langchain_core_utils_env.getEnvironmentVariable)("AZURE_OPENAI_ENDPOINT");
 	this.azureADTokenProvider = fields?.azureADTokenProvider;
@@ -52,3 +51,3 @@ if (!this.azureOpenAIApiKey && !this.apiKey && !this.azureADTokenProvider) throw new Error("Azure OpenAI API key or Token Provider not found");
 		const endpoint = require_azure.getEndpoint(openAIEndpointConfig);
-		const { apiKey: existingApiKey,...clientConfigRest } = this.clientConfig;
+		const { apiKey: existingApiKey, ...clientConfigRest } = this.clientConfig;
 		const params = {
@@ -55,0 +54,0 @@ ...clientConfigRest,

dist/azure/chat_models/common.d.cts

@@ -6,3 +6,2 @@ import { AzureOpenAIChatInput } from "../../types.cjs";
 //#region src/azure/chat_models/common.d.ts
-
 interface AzureChatOpenAIFields extends BaseChatOpenAIFields, Partial<AzureOpenAIChatInput> {
@@ -9,0 +8,0 @@ /**

dist/azure/chat_models/common.d.ts

@@ -7,3 +7,2 @@ import { AzureOpenAIChatInput } from "../../types.js";
 //#region src/azure/chat_models/common.d.ts
-
 interface AzureChatOpenAIFields extends BaseChatOpenAIFields, Partial<AzureOpenAIChatInput> {
@@ -10,0 +9,0 @@ /**

dist/azure/chat_models/common.js

@@ -50,3 +50,3 @@ import { getEndpoint, getHeadersWithUserAgent } from "../../utils/azure.js";
 		const endpoint = getEndpoint(openAIEndpointConfig);
-		const { apiKey: existingApiKey,...clientConfigRest } = this.clientConfig;
+		const { apiKey: existingApiKey, ...clientConfigRest } = this.clientConfig;
 		const params = {
@@ -53,0 +53,0 @@ ...clientConfigRest,

dist/azure/chat_models/index.d.cts

@@ -9,3 +9,2 @@ import { AzureOpenAIChatInput } from "../../types.cjs";
 //#region src/azure/chat_models/index.d.ts
-
 /**
@@ -12,0 +11,0 @@ * Azure OpenAI chat model integration.

dist/azure/chat_models/index.d.ts

@@ -9,3 +9,2 @@ import { AzureOpenAIChatInput } from "../../types.js";
 //#region src/azure/chat_models/index.d.ts
-
 /**
@@ -12,0 +11,0 @@ * Azure OpenAI chat model integration.

dist/azure/embeddings.cjs

@@ -1,7 +0,6 @@
-const require_rolldown_runtime = require('../_virtual/rolldown_runtime.cjs');
 const require_client = require('../utils/client.cjs');
 const require_azure = require('../utils/azure.cjs');
 const require_embeddings = require('../embeddings.cjs');
-const openai = require_rolldown_runtime.__toESM(require("openai"));
-const __langchain_core_utils_env = require_rolldown_runtime.__toESM(require("@langchain/core/utils/env"));
+let openai = require("openai");
+let _langchain_core_utils_env = require("@langchain/core/utils/env");
 
@@ -19,7 +18,7 @@ //#region src/azure/embeddings.ts
 		this.batchSize = fields?.batchSize ?? 1;
-		this.azureOpenAIApiKey = fields?.azureOpenAIApiKey ?? (typeof fields?.apiKey === "string" ? fields?.apiKey : void 0) ?? (0, __langchain_core_utils_env.getEnvironmentVariable)("AZURE_OPENAI_API_KEY");
-		this.azureOpenAIApiVersion = fields?.azureOpenAIApiVersion ?? fields?.openAIApiVersion ?? (0, __langchain_core_utils_env.getEnvironmentVariable)("AZURE_OPENAI_API_VERSION");
-		this.azureOpenAIBasePath = fields?.azureOpenAIBasePath ?? (0, __langchain_core_utils_env.getEnvironmentVariable)("AZURE_OPENAI_BASE_PATH");
-		this.azureOpenAIApiInstanceName = fields?.azureOpenAIApiInstanceName ?? (0, __langchain_core_utils_env.getEnvironmentVariable)("AZURE_OPENAI_API_INSTANCE_NAME");
-		this.azureOpenAIApiDeploymentName = (fields?.azureOpenAIApiEmbeddingsDeploymentName || fields?.azureOpenAIApiDeploymentName) ?? ((0, __langchain_core_utils_env.getEnvironmentVariable)("AZURE_OPENAI_API_EMBEDDINGS_DEPLOYMENT_NAME") || (0, __langchain_core_utils_env.getEnvironmentVariable)("AZURE_OPENAI_API_DEPLOYMENT_NAME"));
+		this.azureOpenAIApiKey = fields?.azureOpenAIApiKey ?? (typeof fields?.apiKey === "string" ? fields?.apiKey : void 0) ?? (0, _langchain_core_utils_env.getEnvironmentVariable)("AZURE_OPENAI_API_KEY");
+		this.azureOpenAIApiVersion = fields?.azureOpenAIApiVersion ?? fields?.openAIApiVersion ?? (0, _langchain_core_utils_env.getEnvironmentVariable)("AZURE_OPENAI_API_VERSION");
+		this.azureOpenAIBasePath = fields?.azureOpenAIBasePath ?? (0, _langchain_core_utils_env.getEnvironmentVariable)("AZURE_OPENAI_BASE_PATH");
+		this.azureOpenAIApiInstanceName = fields?.azureOpenAIApiInstanceName ?? (0, _langchain_core_utils_env.getEnvironmentVariable)("AZURE_OPENAI_API_INSTANCE_NAME");
+		this.azureOpenAIApiDeploymentName = (fields?.azureOpenAIApiEmbeddingsDeploymentName || fields?.azureOpenAIApiDeploymentName) ?? ((0, _langchain_core_utils_env.getEnvironmentVariable)("AZURE_OPENAI_API_EMBEDDINGS_DEPLOYMENT_NAME") || (0, _langchain_core_utils_env.getEnvironmentVariable)("AZURE_OPENAI_API_DEPLOYMENT_NAME"));
 		this.azureADTokenProvider = fields?.azureADTokenProvider;
@@ -38,3 +37,3 @@ }
 			const endpoint = require_azure.getEndpoint(openAIEndpointConfig);
-			const { apiKey: existingApiKey,...clientConfigRest } = this.clientConfig;
+			const { apiKey: existingApiKey, ...clientConfigRest } = this.clientConfig;
 			const params = {
@@ -69,7 +68,5 @@ ...clientConfigRest,
 			try {
-				const res = await this.client.embeddings.create(request, requestOptions);
-				return res;
+				return await this.client.embeddings.create(request, requestOptions);
 			} catch (e) {
-				const error = require_client.wrapOpenAIClientError(e);
-				throw error;
+				throw require_client.wrapOpenAIClientError(e);
 			}
@@ -76,0 +73,0 @@ });

dist/azure/embeddings.d.cts

@@ -14,4 +14,3 @@ import { AzureOpenAIInput } from "../types.cjs";
   constructor(fields?: Partial<OpenAIEmbeddingsParams> & Partial<AzureOpenAIInput> & {
-    verbose?: boolean;
-    /** The OpenAI API key to use. */
+    verbose?: boolean; /** The OpenAI API key to use. */
     apiKey?: string;
@@ -18,0 +17,0 @@ configuration?: ClientOptions;

dist/azure/embeddings.d.ts

@@ -14,4 +14,3 @@ import { AzureOpenAIInput } from "../types.js";
   constructor(fields?: Partial<OpenAIEmbeddingsParams> & Partial<AzureOpenAIInput> & {
-    verbose?: boolean;
-    /** The OpenAI API key to use. */
+    verbose?: boolean; /** The OpenAI API key to use. */
     apiKey?: string;
@@ -18,0 +17,0 @@ configuration?: ClientOptions;

dist/azure/embeddings.js

@@ -36,3 +36,3 @@ import { wrapOpenAIClientError } from "../utils/client.js";
 			const endpoint = getEndpoint(openAIEndpointConfig);
-			const { apiKey: existingApiKey,...clientConfigRest } = this.clientConfig;
+			const { apiKey: existingApiKey, ...clientConfigRest } = this.clientConfig;
 			const params = {
@@ -67,7 +67,5 @@ ...clientConfigRest,
 			try {
-				const res = await this.client.embeddings.create(request, requestOptions);
-				return res;
+				return await this.client.embeddings.create(request, requestOptions);
 			} catch (e) {
-				const error = wrapOpenAIClientError(e);
-				throw error;
+				throw wrapOpenAIClientError(e);
 			}
@@ -74,0 +72,0 @@ });

dist/azure/llms.cjs

@@ -1,6 +0,5 @@
-const require_rolldown_runtime = require('../_virtual/rolldown_runtime.cjs');
 const require_azure = require('../utils/azure.cjs');
 const require_llms = require('../llms.cjs');
-const openai = require_rolldown_runtime.__toESM(require("openai"));
-const __langchain_core_utils_env = require_rolldown_runtime.__toESM(require("@langchain/core/utils/env"));
+let openai = require("openai");
+let _langchain_core_utils_env = require("@langchain/core/utils/env");
 
@@ -37,8 +36,8 @@ //#region src/azure/llms.ts
 		super(fields);
-		this.azureOpenAIApiDeploymentName = (fields?.azureOpenAIApiCompletionsDeploymentName || fields?.azureOpenAIApiDeploymentName) ?? ((0, __langchain_core_utils_env.getEnvironmentVariable)("AZURE_OPENAI_API_COMPLETIONS_DEPLOYMENT_NAME") || (0, __langchain_core_utils_env.getEnvironmentVariable)("AZURE_OPENAI_API_DEPLOYMENT_NAME"));
-		this.azureOpenAIApiKey = fields?.azureOpenAIApiKey ?? (typeof fields?.openAIApiKey === "string" ? fields?.openAIApiKey : void 0) ?? (typeof fields?.apiKey === "string" ? fields?.apiKey : void 0) ?? (0, __langchain_core_utils_env.getEnvironmentVariable)("AZURE_OPENAI_API_KEY");
-		this.azureOpenAIApiInstanceName = fields?.azureOpenAIApiInstanceName ?? (0, __langchain_core_utils_env.getEnvironmentVariable)("AZURE_OPENAI_API_INSTANCE_NAME");
-		this.azureOpenAIApiVersion = fields?.azureOpenAIApiVersion ?? fields?.openAIApiVersion ?? (0, __langchain_core_utils_env.getEnvironmentVariable)("AZURE_OPENAI_API_VERSION");
-		this.azureOpenAIBasePath = fields?.azureOpenAIBasePath ?? (0, __langchain_core_utils_env.getEnvironmentVariable)("AZURE_OPENAI_BASE_PATH");
-		this.azureOpenAIEndpoint = fields?.azureOpenAIEndpoint ?? (0, __langchain_core_utils_env.getEnvironmentVariable)("AZURE_OPENAI_ENDPOINT");
+		this.azureOpenAIApiDeploymentName = (fields?.azureOpenAIApiCompletionsDeploymentName || fields?.azureOpenAIApiDeploymentName) ?? ((0, _langchain_core_utils_env.getEnvironmentVariable)("AZURE_OPENAI_API_COMPLETIONS_DEPLOYMENT_NAME") || (0, _langchain_core_utils_env.getEnvironmentVariable)("AZURE_OPENAI_API_DEPLOYMENT_NAME"));
+		this.azureOpenAIApiKey = fields?.azureOpenAIApiKey ?? (typeof fields?.openAIApiKey === "string" ? fields?.openAIApiKey : void 0) ?? (typeof fields?.apiKey === "string" ? fields?.apiKey : void 0) ?? (0, _langchain_core_utils_env.getEnvironmentVariable)("AZURE_OPENAI_API_KEY");
+		this.azureOpenAIApiInstanceName = fields?.azureOpenAIApiInstanceName ?? (0, _langchain_core_utils_env.getEnvironmentVariable)("AZURE_OPENAI_API_INSTANCE_NAME");
+		this.azureOpenAIApiVersion = fields?.azureOpenAIApiVersion ?? fields?.openAIApiVersion ?? (0, _langchain_core_utils_env.getEnvironmentVariable)("AZURE_OPENAI_API_VERSION");
+		this.azureOpenAIBasePath = fields?.azureOpenAIBasePath ?? (0, _langchain_core_utils_env.getEnvironmentVariable)("AZURE_OPENAI_BASE_PATH");
+		this.azureOpenAIEndpoint = fields?.azureOpenAIEndpoint ?? (0, _langchain_core_utils_env.getEnvironmentVariable)("AZURE_OPENAI_ENDPOINT");
 		this.azureADTokenProvider = fields?.azureADTokenProvider;
@@ -58,3 +57,3 @@ if (!this.azureOpenAIApiKey && !this.apiKey && !this.azureADTokenProvider) throw new Error("Azure OpenAI API key or Token Provider not found");
 			const endpoint = require_azure.getEndpoint(openAIEndpointConfig);
-			const { apiKey: existingApiKey,...clientConfigRest } = this.clientConfig;
+			const { apiKey: existingApiKey, ...clientConfigRest } = this.clientConfig;
 			const params = {
@@ -61,0 +60,0 @@ ...clientConfigRest,

dist/azure/llms.d.cts

 import { AzureOpenAIInput, OpenAICoreRequestOptions, OpenAIInput } from "../types.cjs";
-import { OpenAI } from "../llms.cjs";
+import { OpenAI as OpenAI$2 } from "../llms.cjs";
 import { ClientOptions } from "openai";
@@ -7,3 +7,3 @@ import { BaseLLMParams } from "@langchain/core/language_models/llms";
 //#region src/azure/llms.d.ts
-declare class AzureOpenAI extends OpenAI {
+declare class AzureOpenAI extends OpenAI$2 {
   azureOpenAIApiVersion?: string;
@@ -10,0 +10,0 @@ azureOpenAIApiKey?: string;

dist/azure/llms.d.ts

 import { AzureOpenAIInput, OpenAICoreRequestOptions, OpenAIInput } from "../types.js";
-import { OpenAI } from "../llms.js";
+import { OpenAI as OpenAI$2 } from "../llms.js";
 import { ClientOptions } from "openai";
@@ -7,3 +7,3 @@ import { BaseLLMParams } from "@langchain/core/language_models/llms";
 //#region src/azure/llms.d.ts
-declare class AzureOpenAI$1 extends OpenAI {
+declare class AzureOpenAI$1 extends OpenAI$2 {
   azureOpenAIApiVersion?: string;
@@ -10,0 +10,0 @@ azureOpenAIApiKey?: string;

dist/azure/llms.js

 import { getEndpoint, getHeadersWithUserAgent } from "../utils/azure.js";
-import { OpenAI } from "../llms.js";
+import { OpenAI as OpenAI$2 } from "../llms.js";
 import { AzureOpenAI } from "openai";
@@ -7,3 +7,3 @@ import { getEnvironmentVariable } from "@langchain/core/utils/env";
 //#region src/azure/llms.ts
-var AzureOpenAI$1 = class extends OpenAI {
+var AzureOpenAI$1 = class extends OpenAI$2 {
 	azureOpenAIApiVersion;
@@ -57,3 +57,3 @@ azureOpenAIApiKey;
 			const endpoint = getEndpoint(openAIEndpointConfig);
-			const { apiKey: existingApiKey,...clientConfigRest } = this.clientConfig;
+			const { apiKey: existingApiKey, ...clientConfigRest } = this.clientConfig;
 			const params = {
@@ -60,0 +60,0 @@ ...clientConfigRest,

dist/chat_models/base.cjs

@@ -1,2 +0,1 @@
-const require_rolldown_runtime = require('../_virtual/rolldown_runtime.cjs');
 const require_client = require('../utils/client.cjs');
@@ -8,15 +7,15 @@ const require_tools = require('../utils/tools.cjs');
 const require_profiles = require('./profiles.cjs');
-const openai = require_rolldown_runtime.__toESM(require("openai"));
-const __langchain_core_utils_types = require_rolldown_runtime.__toESM(require("@langchain/core/utils/types"));
-const __langchain_core_utils_json_schema = require_rolldown_runtime.__toESM(require("@langchain/core/utils/json_schema"));
-const __langchain_core_utils_env = require_rolldown_runtime.__toESM(require("@langchain/core/utils/env"));
-const __langchain_core_language_models_chat_models = require_rolldown_runtime.__toESM(require("@langchain/core/language_models/chat_models"));
-const __langchain_core_language_models_base = require_rolldown_runtime.__toESM(require("@langchain/core/language_models/base"));
-const __langchain_core_runnables = require_rolldown_runtime.__toESM(require("@langchain/core/runnables"));
-const __langchain_core_output_parsers = require_rolldown_runtime.__toESM(require("@langchain/core/output_parsers"));
-const __langchain_core_output_parsers_openai_tools = require_rolldown_runtime.__toESM(require("@langchain/core/output_parsers/openai_tools"));
+let openai = require("openai");
+let _langchain_core_utils_types = require("@langchain/core/utils/types");
+let _langchain_core_utils_json_schema = require("@langchain/core/utils/json_schema");
+let _langchain_core_utils_env = require("@langchain/core/utils/env");
+let _langchain_core_language_models_chat_models = require("@langchain/core/language_models/chat_models");
+let _langchain_core_language_models_base = require("@langchain/core/language_models/base");
+let _langchain_core_runnables = require("@langchain/core/runnables");
+let _langchain_core_output_parsers = require("@langchain/core/output_parsers");
+let _langchain_core_output_parsers_openai_tools = require("@langchain/core/output_parsers/openai_tools");
 
 //#region src/chat_models/base.ts
 /** @internal */
-var BaseChatOpenAI = class extends __langchain_core_language_models_chat_models.BaseChatModel {
+var BaseChatOpenAI = class extends _langchain_core_language_models_chat_models.BaseChatModel {
 	temperature;
@@ -190,4 +189,4 @@ topP;
 		const configApiKey = typeof fields?.configuration?.apiKey === "string" || typeof fields?.configuration?.apiKey === "function" ? fields?.configuration?.apiKey : void 0;
-		this.apiKey = fields?.apiKey ?? configApiKey ?? (0, __langchain_core_utils_env.getEnvironmentVariable)("OPENAI_API_KEY");
-		this.organization = fields?.configuration?.organization ?? (0, __langchain_core_utils_env.getEnvironmentVariable)("OPENAI_ORGANIZATION");
+		this.apiKey = fields?.apiKey ?? configApiKey ?? (0, _langchain_core_utils_env.getEnvironmentVariable)("OPENAI_API_KEY");
+		this.organization = fields?.configuration?.organization ?? (0, _langchain_core_utils_env.getEnvironmentVariable)("OPENAI_ORGANIZATION");
 		this.model = fields?.model ?? fields?.modelName ?? this.model;
@@ -257,3 +256,3 @@ this.modelKwargs = fields?.modelKwargs ?? {};
 	_getResponseFormat(resFormat) {
-		if (resFormat && resFormat.type === "json_schema" && resFormat.json_schema.schema && (0, __langchain_core_utils_types.isInteropZodSchema)(resFormat.json_schema.schema)) return require_output.interopZodResponseFormat(resFormat.json_schema.schema, resFormat.json_schema.name, { description: resFormat.json_schema.description });
+		if (resFormat && resFormat.type === "json_schema" && resFormat.json_schema.schema && (0, _langchain_core_utils_types.isInteropZodSchema)(resFormat.json_schema.schema)) return require_output.interopZodResponseFormat(resFormat.json_schema.schema, resFormat.json_schema.name, { description: resFormat.json_schema.description });
 		return resFormat;
@@ -270,4 +269,3 @@ }
 		if (!this.client) {
-			const openAIEndpointConfig = { baseURL: this.clientConfig.baseURL };
-			const endpoint = require_azure.getEndpoint(openAIEndpointConfig);
+			const endpoint = require_azure.getEndpoint({ baseURL: this.clientConfig.baseURL });
 			const params = {
@@ -283,11 +281,10 @@ ...this.clientConfig,
 		}
-		const requestOptions = {
+		return {
 			...this.clientConfig,
 			...options
 		};
-		return requestOptions;
 	}
 	_convertChatOpenAIToolToCompletionsTool(tool, fields) {
 		if (require_tools.isCustomTool(tool)) return require_tools.convertResponsesCustomTool(tool.metadata.customTool);
-		if ((0, __langchain_core_language_models_base.isOpenAITool)(tool)) {
+		if ((0, _langchain_core_language_models_base.isOpenAITool)(tool)) {
 			if (fields?.strict !== void 0) return {
@@ -374,7 +371,6 @@ ...tool,
 	async _getNumTokensFromGenerations(generations) {
-		const generationUsages = await Promise.all(generations.map(async (generation) => {
+		return (await Promise.all(generations.map(async (generation) => {
 			if (generation.message.additional_kwargs?.function_call) return (await this.getNumTokensFromMessages([generation.message])).countPerMessage[0];
 			else return await this.getNumTokens(generation.message.content);
-		}));
-		return generationUsages.reduce((a, b) => a + b, 0);
+		}))).reduce((a, b) => a + b, 0);
 	}
@@ -434,14 +430,11 @@ /** @internal */
 		const clientOptions = this._getClientOptions(params?.options);
-		const moderationModel = params?.model ?? "omni-moderation-latest";
 		const moderationRequest = {
 			input,
-			model: moderationModel
+			model: params?.model ?? "omni-moderation-latest"
 		};
 		return this.caller.call(async () => {
 			try {
-				const response = await this.client.moderations.create(moderationRequest, clientOptions);
-				return response;
+				return await this.client.moderations.create(moderationRequest, clientOptions);
 			} catch (e) {
-				const error = require_client.wrapOpenAIClientError(e);
-				throw error;
+				throw require_client.wrapOpenAIClientError(e);
 			}
@@ -507,5 +500,5 @@ });
 		if (method === "jsonMode") {
-			if ((0, __langchain_core_utils_types.isInteropZodSchema)(schema)) outputParser = __langchain_core_output_parsers.StructuredOutputParser.fromZodSchema(schema);
-			else outputParser = new __langchain_core_output_parsers.JsonOutputParser();
-			const asJsonSchema = (0, __langchain_core_utils_json_schema.toJsonSchema)(schema);
+			if ((0, _langchain_core_utils_types.isInteropZodSchema)(schema)) outputParser = _langchain_core_output_parsers.StructuredOutputParser.fromZodSchema(schema);
+			else outputParser = new _langchain_core_output_parsers.JsonOutputParser();
+			const asJsonSchema = (0, _langchain_core_utils_json_schema.toJsonSchema)(schema);
 			llm = this.withConfig({
@@ -525,7 +518,7 @@ outputVersion: "v0",
 				name: name ?? "extract",
-				description: (0, __langchain_core_utils_types.getSchemaDescription)(schema),
+				description: (0, _langchain_core_utils_types.getSchemaDescription)(schema),
 				schema,
 				strict: config?.strict
 			};
-			const asJsonSchema = (0, __langchain_core_utils_json_schema.toJsonSchema)(openaiJsonSchemaParams.schema);
+			const asJsonSchema = (0, _langchain_core_utils_json_schema.toJsonSchema)(openaiJsonSchemaParams.schema);
 			llm = this.withConfig({
@@ -546,13 +539,13 @@ outputVersion: "v0",
 			});
-			if ((0, __langchain_core_utils_types.isInteropZodSchema)(schema)) {
-				const altParser = __langchain_core_output_parsers.StructuredOutputParser.fromZodSchema(schema);
-				outputParser = __langchain_core_runnables.RunnableLambda.from((aiMessage) => {
+			if ((0, _langchain_core_utils_types.isInteropZodSchema)(schema)) {
+				const altParser = _langchain_core_output_parsers.StructuredOutputParser.fromZodSchema(schema);
+				outputParser = _langchain_core_runnables.RunnableLambda.from((aiMessage) => {
 					if ("parsed" in aiMessage.additional_kwargs) return aiMessage.additional_kwargs.parsed;
 					return altParser;
 				});
-			} else outputParser = new __langchain_core_output_parsers.JsonOutputParser();
+			} else outputParser = new _langchain_core_output_parsers.JsonOutputParser();
 		} else {
 			let functionName = name ?? "extract";
-			if ((0, __langchain_core_utils_types.isInteropZodSchema)(schema)) {
-				const asJsonSchema = (0, __langchain_core_utils_json_schema.toJsonSchema)(schema);
+			if ((0, _langchain_core_utils_types.isInteropZodSchema)(schema)) {
+				const asJsonSchema = (0, _langchain_core_utils_json_schema.toJsonSchema)(schema);
 				llm = this.withConfig({
@@ -581,3 +574,3 @@ outputVersion: "v0",
 				});
-				outputParser = new __langchain_core_output_parsers_openai_tools.JsonOutputKeyToolsParser({
+				outputParser = new _langchain_core_output_parsers_openai_tools.JsonOutputKeyToolsParser({
 					returnSingle: true,
@@ -600,3 +593,3 @@ keyName: functionName,
 				}
-				const asJsonSchema = (0, __langchain_core_utils_json_schema.toJsonSchema)(schema);
+				const asJsonSchema = (0, _langchain_core_utils_json_schema.toJsonSchema)(schema);
 				llm = this.withConfig({
@@ -621,3 +614,3 @@ outputVersion: "v0",
 				});
-				outputParser = new __langchain_core_output_parsers_openai_tools.JsonOutputKeyToolsParser({
+				outputParser = new _langchain_core_output_parsers_openai_tools.JsonOutputKeyToolsParser({
 					returnSingle: true,
@@ -629,6 +622,6 @@ keyName: functionName
 		if (!includeRaw) return llm.pipe(outputParser);
-		const parserAssign = __langchain_core_runnables.RunnablePassthrough.assign({ parsed: (input, config$1) => outputParser.invoke(input.raw, config$1) });
-		const parserNone = __langchain_core_runnables.RunnablePassthrough.assign({ parsed: () => null });
+		const parserAssign = _langchain_core_runnables.RunnablePassthrough.assign({ parsed: (input, config) => outputParser.invoke(input.raw, config) });
+		const parserNone = _langchain_core_runnables.RunnablePassthrough.assign({ parsed: () => null });
 		const parsedWithFallback = parserAssign.withFallbacks({ fallbacks: [parserNone] });
-		return __langchain_core_runnables.RunnableSequence.from([{ raw: llm }, parsedWithFallback]);
+		return _langchain_core_runnables.RunnableSequence.from([{ raw: llm }, parsedWithFallback]);
 	}
@@ -635,0 +628,0 @@ };

dist/chat_models/base.js

@@ -6,3 +6,3 @@ import { wrapOpenAIClientError } from "../utils/client.js";
 import { getStructuredOutputMethod, interopZodResponseFormat } from "../utils/output.js";
-import profiles_default from "./profiles.js";
+import PROFILES from "./profiles.js";
 import { OpenAI as OpenAI$1 } from "openai";
@@ -267,4 +267,3 @@ import { getSchemaDescription, isInteropZodSchema } from "@langchain/core/utils/types";
 		if (!this.client) {
-			const openAIEndpointConfig = { baseURL: this.clientConfig.baseURL };
-			const endpoint = getEndpoint(openAIEndpointConfig);
+			const endpoint = getEndpoint({ baseURL: this.clientConfig.baseURL });
 			const params = {
@@ -280,7 +279,6 @@ ...this.clientConfig,
 		}
-		const requestOptions = {
+		return {
 			...this.clientConfig,
 			...options
 		};
-		return requestOptions;
 	}
@@ -371,7 +369,6 @@ _convertChatOpenAIToolToCompletionsTool(tool, fields) {
 	async _getNumTokensFromGenerations(generations) {
-		const generationUsages = await Promise.all(generations.map(async (generation) => {
+		return (await Promise.all(generations.map(async (generation) => {
 			if (generation.message.additional_kwargs?.function_call) return (await this.getNumTokensFromMessages([generation.message])).countPerMessage[0];
 			else return await this.getNumTokens(generation.message.content);
-		}));
-		return generationUsages.reduce((a, b) => a + b, 0);
+		}))).reduce((a, b) => a + b, 0);
 	}
@@ -431,14 +428,11 @@ /** @internal */
 		const clientOptions = this._getClientOptions(params?.options);
-		const moderationModel = params?.model ?? "omni-moderation-latest";
 		const moderationRequest = {
 			input,
-			model: moderationModel
+			model: params?.model ?? "omni-moderation-latest"
 		};
 		return this.caller.call(async () => {
 			try {
-				const response = await this.client.moderations.create(moderationRequest, clientOptions);
-				return response;
+				return await this.client.moderations.create(moderationRequest, clientOptions);
 			} catch (e) {
-				const error = wrapOpenAIClientError(e);
-				throw error;
+				throw wrapOpenAIClientError(e);
 			}
@@ -465,3 +459,3 @@ });
 	get profile() {
-		return profiles_default[this.model] ?? {};
+		return PROFILES[this.model] ?? {};
 	}
@@ -621,3 +615,3 @@ /** @internal */
 		if (!includeRaw) return llm.pipe(outputParser);
-		const parserAssign = RunnablePassthrough.assign({ parsed: (input, config$1) => outputParser.invoke(input.raw, config$1) });
+		const parserAssign = RunnablePassthrough.assign({ parsed: (input, config) => outputParser.invoke(input.raw, config) });
 		const parserNone = RunnablePassthrough.assign({ parsed: () => null });
@@ -624,0 +618,0 @@ const parsedWithFallback = parserAssign.withFallbacks({ fallbacks: [parserNone] });

dist/chat_models/completions.cjs

@@ -1,2 +0,1 @@
-const require_rolldown_runtime = require('../_virtual/rolldown_runtime.cjs');
 const require_client = require('../utils/client.cjs');
@@ -7,4 +6,4 @@ const require_tools = require('../utils/tools.cjs');
 const require_completions = require('../converters/completions.cjs');
-const __langchain_core_messages = require_rolldown_runtime.__toESM(require("@langchain/core/messages"));
-const __langchain_core_outputs = require_rolldown_runtime.__toESM(require("@langchain/core/outputs"));
+let _langchain_core_messages = require("@langchain/core/messages");
+let _langchain_core_outputs = require("@langchain/core/outputs");
 
@@ -120,5 +119,4 @@ //#region src/chat_models/completions.ts
 			for (const part of data?.choices ?? []) {
-				const text = part.message?.content ?? "";
 				const generation = {
-					text,
+					text: part.message?.content ?? "",
 					message: this._convertCompletionsMessageToBaseMessage(part.message ?? { role: "assistant" }, data)
@@ -130,4 +128,4 @@ };
 				};
-				if ((0, __langchain_core_messages.isAIMessage)(generation.message)) generation.message.usage_metadata = usageMetadata;
-				generation.message = new __langchain_core_messages.AIMessage(Object.fromEntries(Object.entries(generation.message).filter(([key]) => !key.startsWith("lc_"))));
+				if ((0, _langchain_core_messages.isAIMessage)(generation.message)) generation.message.usage_metadata = usageMetadata;
+				generation.message = new _langchain_core_messages.AIMessage(Object.fromEntries(Object.entries(generation.message).filter(([key]) => !key.startsWith("lc_"))));
 				generations.push(generation);
@@ -183,3 +181,3 @@ }
 			if (this.logprobs) generationInfo.logprobs = choice.logprobs;
-			const generationChunk = new __langchain_core_outputs.ChatGenerationChunk({
+			const generationChunk = new _langchain_core_outputs.ChatGenerationChunk({
 				message: chunk,
@@ -201,4 +199,4 @@ text: chunk.content,
 			};
-			const generationChunk = new __langchain_core_outputs.ChatGenerationChunk({
-				message: new __langchain_core_messages.AIMessageChunk({
+			yield new _langchain_core_outputs.ChatGenerationChunk({
+				message: new _langchain_core_messages.AIMessageChunk({
 					content: "",
@@ -216,3 +214,2 @@ response_metadata: { usage: { ...usage } },
 			});
-			yield generationChunk;
 		}
@@ -229,4 +226,3 @@ if (options.signal?.aborted) throw new Error("AbortError");
 			} catch (e) {
-				const error = require_client.wrapOpenAIClientError(e);
-				throw error;
+				throw require_client.wrapOpenAIClientError(e);
 			}
@@ -233,0 +229,0 @@ });

dist/chat_models/completions.js

@@ -118,5 +118,4 @@ import { wrapOpenAIClientError } from "../utils/client.js";
 			for (const part of data?.choices ?? []) {
-				const text = part.message?.content ?? "";
 				const generation = {
-					text,
+					text: part.message?.content ?? "",
 					message: this._convertCompletionsMessageToBaseMessage(part.message ?? { role: "assistant" }, data)
@@ -197,3 +196,3 @@ };
 			};
-			const generationChunk = new ChatGenerationChunk({
+			yield new ChatGenerationChunk({
 				message: new AIMessageChunk({
@@ -212,3 +211,2 @@ content: "",
 			});
-			yield generationChunk;
 		}
@@ -225,4 +223,3 @@ if (options.signal?.aborted) throw new Error("AbortError");
 			} catch (e) {
-				const error = wrapOpenAIClientError(e);
-				throw error;
+				throw wrapOpenAIClientError(e);
 			}
@@ -229,0 +226,0 @@ });

dist/chat_models/profiles.cjs

@@ -563,6 +563,5 @@
 };
-var profiles_default = PROFILES;
 
 //#endregion
-exports.default = profiles_default;
+exports.default = PROFILES;
 //# sourceMappingURL=profiles.cjs.map

dist/chat_models/profiles.js

@@ -562,6 +562,5 @@ //#region src/chat_models/profiles.ts
 };
-var profiles_default = PROFILES;
 
 //#endregion
-export { profiles_default as default };
+export { PROFILES as default };
 //# sourceMappingURL=profiles.js.map

dist/chat_models/responses.cjs

@@ -1,2 +0,1 @@
-const require_rolldown_runtime = require('../_virtual/rolldown_runtime.cjs');
 const require_client = require('../utils/client.cjs');
@@ -6,3 +5,3 @@ const require_tools = require('../utils/tools.cjs');
 const require_responses = require('../converters/responses.cjs');
-const __langchain_core_language_models_base = require_rolldown_runtime.__toESM(require("@langchain/core/language_models/base"));
+let _langchain_core_language_models_base = require("@langchain/core/language_models/base");
 
@@ -53,3 +52,2 @@ //#region src/chat_models/responses.ts
 				}
-				return void 0;
 			})(),
@@ -70,3 +68,3 @@ text: (() => {
 					};
-					return void 0;
+					return;
 				}
@@ -163,4 +161,3 @@ return {
 			} catch (e) {
-				const error = require_client.wrapOpenAIClientError(e);
-				throw error;
+				throw require_client.wrapOpenAIClientError(e);
 			}
@@ -183,3 +180,3 @@ });
 			});
-		} else if ((0, __langchain_core_language_models_base.isOpenAITool)(tool)) reducedTools.push({
+		} else if ((0, _langchain_core_language_models_base.isOpenAITool)(tool)) reducedTools.push({
 			type: "function",
@@ -186,0 +183,0 @@ name: tool.function.name,

dist/chat_models/responses.js

@@ -51,3 +51,2 @@ import { wrapOpenAIClientError } from "../utils/client.js";
 				}
-				return void 0;
 			})(),
@@ -68,3 +67,3 @@ text: (() => {
 					};
-					return void 0;
+					return;
 				}
@@ -161,4 +160,3 @@ return {
 			} catch (e) {
-				const error = wrapOpenAIClientError(e);
-				throw error;
+				throw wrapOpenAIClientError(e);
 			}
@@ -165,0 +163,0 @@ });

dist/converters/completions.cjs

@@ -1,6 +0,5 @@
-const require_rolldown_runtime = require('../_virtual/rolldown_runtime.cjs');
 const require_misc = require('../utils/misc.cjs');
 const require_output = require('../utils/output.cjs');
-const __langchain_core_messages = require_rolldown_runtime.__toESM(require("@langchain/core/messages"));
-const __langchain_core_output_parsers_openai_tools = require_rolldown_runtime.__toESM(require("@langchain/core/output_parsers/openai_tools"));
+let _langchain_core_messages = require("@langchain/core/messages");
+let _langchain_core_output_parsers_openai_tools = require("@langchain/core/output_parsers/openai_tools");
 
@@ -27,12 +26,9 @@ //#region src/converters/completions.ts
 		};
-		if (block.source_type === "base64") {
-			const url = `data:${block.mime_type ?? ""};base64,${block.data}`;
-			return {
-				type: "image_url",
-				image_url: {
-					url,
-					...block.metadata?.detail ? { detail: block.metadata.detail } : {}
-				}
-			};
-		}
+		if (block.source_type === "base64") return {
+			type: "image_url",
+			image_url: {
+				url: `data:${block.mime_type ?? ""};base64,${block.data}`,
+				...block.metadata?.detail ? { detail: block.metadata.detail } : {}
+			}
+		};
 		throw new Error(`Image content blocks with source_type ${block.source_type} are not supported for ChatOpenAI`);
@@ -42,3 +38,3 @@ },
 		if (block.source_type === "url") {
-			const data = (0, __langchain_core_messages.parseBase64DataUrl)({ dataUrl: block.url });
+			const data = (0, _langchain_core_messages.parseBase64DataUrl)({ dataUrl: block.url });
 			if (!data) throw new Error(`URL audio blocks with source_type ${block.source_type} must be formatted as a data URL for ChatOpenAI`);
@@ -48,3 +44,3 @@ const rawMimeType = data.mime_type || block.mime_type || "";
 			try {
-				mimeType = (0, __langchain_core_messages.parseMimeType)(rawMimeType);
+				mimeType = (0, _langchain_core_messages.parseMimeType)(rawMimeType);
 			} catch {
@@ -65,3 +61,3 @@ throw new Error(`Audio blocks with source_type ${block.source_type} must have mime type of audio/wav or audio/mp3`);
 			try {
-				mimeType = (0, __langchain_core_messages.parseMimeType)(block.mime_type ?? "");
+				mimeType = (0, _langchain_core_messages.parseMimeType)(block.mime_type ?? "");
 			} catch {
@@ -83,3 +79,3 @@ throw new Error(`Audio blocks with source_type ${block.source_type} must have mime type of audio/wav or audio/mp3`);
 		if (block.source_type === "url") {
-			const data = (0, __langchain_core_messages.parseBase64DataUrl)({ dataUrl: block.url });
+			const data = (0, _langchain_core_messages.parseBase64DataUrl)({ dataUrl: block.url });
 			const filename = require_misc.getRequiredFilenameFromMetadata(block);
@@ -175,5 +171,5 @@ if (!data) throw new Error(`URL file blocks with source_type ${block.source_type} must be formatted as a data URL for ChatOpenAI`);
 			for (const rawToolCall of rawToolCalls ?? []) try {
-				toolCalls.push((0, __langchain_core_output_parsers_openai_tools.parseToolCall)(rawToolCall, { returnId: true }));
+				toolCalls.push((0, _langchain_core_output_parsers_openai_tools.parseToolCall)(rawToolCall, { returnId: true }));
 			} catch (e) {
-				invalidToolCalls.push((0, __langchain_core_output_parsers_openai_tools.makeInvalidToolCall)(rawToolCall, e.message));
+				invalidToolCalls.push((0, _langchain_core_output_parsers_openai_tools.makeInvalidToolCall)(rawToolCall, e.message));
 			}
@@ -194,5 +190,4 @@ const additional_kwargs = {
 			if (message.audio) additional_kwargs.audio = message.audio;
-			const content = require_output.handleMultiModalOutput(message.content || "", rawResponse.choices?.[0]?.message);
-			return new __langchain_core_messages.AIMessage({
-				content,
+			return new _langchain_core_messages.AIMessage({
+				content: require_output.handleMultiModalOutput(message.content || "", rawResponse.choices?.[0]?.message),
 				tool_calls: toolCalls,
@@ -205,3 +200,3 @@ invalid_tool_calls: invalidToolCalls,
 		}
-		default: return new __langchain_core_messages.ChatMessage(message.content || "", message.role ?? "unknown");
+		default: return new _langchain_core_messages.ChatMessage(message.content || "", message.role ?? "unknown");
 	}
@@ -284,3 +279,3 @@ };
 	};
-	if (role === "user") return new __langchain_core_messages.HumanMessageChunk({
+	if (role === "user") return new _langchain_core_messages.HumanMessageChunk({
 		content,
@@ -298,3 +293,3 @@ response_metadata
 		});
-		return new __langchain_core_messages.AIMessageChunk({
+		return new _langchain_core_messages.AIMessageChunk({
 			content,
@@ -306,7 +301,7 @@ tool_call_chunks: toolCallChunks,
 		});
-	} else if (role === "system") return new __langchain_core_messages.SystemMessageChunk({
+	} else if (role === "system") return new _langchain_core_messages.SystemMessageChunk({
 		content,
 		response_metadata
 	});
-	else if (role === "developer") return new __langchain_core_messages.SystemMessageChunk({
+	else if (role === "developer") return new _langchain_core_messages.SystemMessageChunk({
 		content,
@@ -316,3 +311,3 @@ response_metadata,
 	});
-	else if (role === "function") return new __langchain_core_messages.FunctionMessageChunk({
+	else if (role === "function") return new _langchain_core_messages.FunctionMessageChunk({
 		content,
@@ -323,3 +318,3 @@ additional_kwargs,
 	});
-	else if (role === "tool") return new __langchain_core_messages.ToolMessageChunk({
+	else if (role === "tool") return new _langchain_core_messages.ToolMessageChunk({
 		content,
@@ -330,3 +325,3 @@ additional_kwargs,
 	});
-	else return new __langchain_core_messages.ChatMessageChunk({
+	else return new _langchain_core_messages.ChatMessageChunk({
 		content,
@@ -378,5 +373,5 @@ role,
 		if (block.data) {
-			const format = (0, __langchain_core_messages.iife)(() => {
-				const [, format$1] = block.mimeType.split("/");
-				if (format$1 === "wav" || format$1 === "mp3") return format$1;
+			const format = (0, _langchain_core_messages.iife)(() => {
+				const [, format] = block.mimeType.split("/");
+				if (format === "wav" || format === "mp3") return format;
 				return "wav";
@@ -409,3 +404,2 @@ });
 	}
-	return void 0;
 };
@@ -492,3 +486,3 @@ /**
 	};
-	else if (role === "tool" && __langchain_core_messages.ToolMessage.isInstance(message)) return {
+	else if (role === "tool" && _langchain_core_messages.ToolMessage.isInstance(message)) return {
 		role: "tool",
@@ -595,3 +589,3 @@ tool_call_id: message.tool_call_id,
 		const content = typeof message.content === "string" ? message.content : message.content.flatMap((m) => {
-			if ((0, __langchain_core_messages.isDataContentBlock)(m)) return (0, __langchain_core_messages.convertToProviderContentBlock)(m, completionsApiContentBlockConverter);
+			if ((0, _langchain_core_messages.isDataContentBlock)(m)) return (0, _langchain_core_messages.convertToProviderContentBlock)(m, completionsApiContentBlockConverter);
 			if (typeof m === "object" && m !== null && "type" in m && m.type === "tool_use") return [];
@@ -606,14 +600,11 @@ return m;
 		if (message.additional_kwargs.function_call != null) completionParam.function_call = message.additional_kwargs.function_call;
-		if (__langchain_core_messages.AIMessage.isInstance(message) && !!message.tool_calls?.length) completionParam.tool_calls = message.tool_calls.map(__langchain_core_output_parsers_openai_tools.convertLangChainToolCallToOpenAI);
+		if (_langchain_core_messages.AIMessage.isInstance(message) && !!message.tool_calls?.length) completionParam.tool_calls = message.tool_calls.map(_langchain_core_output_parsers_openai_tools.convertLangChainToolCallToOpenAI);
 		else {
 			if (message.additional_kwargs.tool_calls != null) completionParam.tool_calls = message.additional_kwargs.tool_calls;
-			if (__langchain_core_messages.ToolMessage.isInstance(message) && message.tool_call_id != null) completionParam.tool_call_id = message.tool_call_id;
+			if (_langchain_core_messages.ToolMessage.isInstance(message) && message.tool_call_id != null) completionParam.tool_call_id = message.tool_call_id;
 		}
-		if (message.additional_kwargs.audio && typeof message.additional_kwargs.audio === "object" && "id" in message.additional_kwargs.audio) {
-			const audioMessage = {
-				role: "assistant",
-				audio: { id: message.additional_kwargs.audio.id }
-			};
-			return [completionParam, audioMessage];
-		}
+		if (message.additional_kwargs.audio && typeof message.additional_kwargs.audio === "object" && "id" in message.additional_kwargs.audio) return [completionParam, {
+			role: "assistant",
+			audio: { id: message.additional_kwargs.audio.id }
+		}];
 		return completionParam;
@@ -620,0 +611,0 @@ });

dist/converters/completions.d.cts

@@ -7,3 +7,2 @@ import { OpenAI as OpenAI$1 } from "openai";
 //#region src/converters/completions.d.ts
-
 /**
@@ -10,0 +9,0 @@ * @deprecated This converter is an internal detail of the OpenAI provider. Do not use it directly. This will be revisited in a future release.

dist/converters/completions.d.ts

@@ -7,3 +7,2 @@ import { OpenAI as OpenAI$1 } from "openai";
 //#region src/converters/completions.d.ts
-
 /**
@@ -10,0 +9,0 @@ * @deprecated This converter is an internal detail of the OpenAI provider. Do not use it directly. This will be revisited in a future release.

dist/converters/completions.js

@@ -26,12 +26,9 @@ import { getRequiredFilenameFromMetadata, isReasoningModel, messageToOpenAIRole } from "../utils/misc.js";
 		};
-		if (block.source_type === "base64") {
-			const url = `data:${block.mime_type ?? ""};base64,${block.data}`;
-			return {
-				type: "image_url",
-				image_url: {
-					url,
-					...block.metadata?.detail ? { detail: block.metadata.detail } : {}
-				}
-			};
-		}
+		if (block.source_type === "base64") return {
+			type: "image_url",
+			image_url: {
+				url: `data:${block.mime_type ?? ""};base64,${block.data}`,
+				...block.metadata?.detail ? { detail: block.metadata.detail } : {}
+			}
+		};
 		throw new Error(`Image content blocks with source_type ${block.source_type} are not supported for ChatOpenAI`);
@@ -188,5 +185,4 @@ },
 			if (message.audio) additional_kwargs.audio = message.audio;
-			const content = handleMultiModalOutput(message.content || "", rawResponse.choices?.[0]?.message);
 			return new AIMessage({
-				content,
+				content: handleMultiModalOutput(message.content || "", rawResponse.choices?.[0]?.message),
 				tool_calls: toolCalls,
@@ -366,4 +362,4 @@ invalid_tool_calls: invalidToolCalls,
 			const format = iife(() => {
-				const [, format$1] = block.mimeType.split("/");
-				if (format$1 === "wav" || format$1 === "mp3") return format$1;
+				const [, format] = block.mimeType.split("/");
+				if (format === "wav" || format === "mp3") return format;
 				return "wav";
@@ -396,3 +392,2 @@ });
 	}
-	return void 0;
 };
@@ -596,9 +591,6 @@ /**
 		}
-		if (message.additional_kwargs.audio && typeof message.additional_kwargs.audio === "object" && "id" in message.additional_kwargs.audio) {
-			const audioMessage = {
-				role: "assistant",
-				audio: { id: message.additional_kwargs.audio.id }
-			};
-			return [completionParam, audioMessage];
-		}
+		if (message.additional_kwargs.audio && typeof message.additional_kwargs.audio === "object" && "id" in message.additional_kwargs.audio) return [completionParam, {
+			role: "assistant",
+			audio: { id: message.additional_kwargs.audio.id }
+		}];
 		return completionParam;
@@ -605,0 +597,0 @@ });

dist/converters/index.js

 import { completionsApiContentBlockConverter, convertCompletionsDeltaToBaseMessageChunk, convertCompletionsMessageToBaseMessage, convertMessagesToCompletionsMessageParams, convertStandardContentBlockToCompletionsContentPart, convertStandardContentMessageToCompletionsMessage } from "./completions.js";
 import { convertMessagesToResponsesInput, convertReasoningSummaryToResponsesReasoningItem, convertResponsesDeltaToChatGenerationChunk, convertResponsesMessageToAIMessage, convertResponsesUsageToUsageMetadata, convertStandardContentMessageToResponsesInput } from "./responses.js";
+
+export {  };

dist/converters/responses.cjs

@@ -1,8 +0,7 @@
-const require_rolldown_runtime = require('../_virtual/rolldown_runtime.cjs');
 const require_tools = require('../utils/tools.cjs');
 const require_misc = require('../utils/misc.cjs');
 const require_completions = require('./completions.cjs');
-const __langchain_core_messages = require_rolldown_runtime.__toESM(require("@langchain/core/messages"));
-const __langchain_core_outputs = require_rolldown_runtime.__toESM(require("@langchain/core/outputs"));
-const __langchain_core_output_parsers_openai_tools = require_rolldown_runtime.__toESM(require("@langchain/core/output_parsers/openai_tools"));
+let _langchain_core_messages = require("@langchain/core/messages");
+let _langchain_core_outputs = require("@langchain/core/outputs");
+let _langchain_core_output_parsers_openai_tools = require("@langchain/core/output_parsers/openai_tools");
 
@@ -268,7 +267,7 @@ //#region src/converters/responses.ts
 		try {
-			tool_calls.push((0, __langchain_core_output_parsers_openai_tools.parseToolCall)(fnAdapter, { returnId: true }));
+			tool_calls.push((0, _langchain_core_output_parsers_openai_tools.parseToolCall)(fnAdapter, { returnId: true }));
 		} catch (e) {
 			let errMessage;
 			if (typeof e === "object" && e != null && "message" in e && typeof e.message === "string") errMessage = e.message;
-			invalid_tool_calls.push((0, __langchain_core_output_parsers_openai_tools.makeInvalidToolCall)(fnAdapter, errMessage));
+			invalid_tool_calls.push((0, _langchain_core_output_parsers_openai_tools.makeInvalidToolCall)(fnAdapter, errMessage));
 		}
@@ -287,7 +286,7 @@ additional_kwargs[_FUNCTION_CALL_IDS_MAP_KEY] ??= {};
 		if (parsed) tool_calls.push(parsed);
-		else invalid_tool_calls.push((0, __langchain_core_output_parsers_openai_tools.makeInvalidToolCall)(item, "Malformed custom tool call"));
+		else invalid_tool_calls.push((0, _langchain_core_output_parsers_openai_tools.makeInvalidToolCall)(item, "Malformed custom tool call"));
 	} else if (item.type === "computer_call") {
 		const parsed = require_tools.parseComputerCall(item);
 		if (parsed) tool_calls.push(parsed);
-		else invalid_tool_calls.push((0, __langchain_core_output_parsers_openai_tools.makeInvalidToolCall)(item, "Malformed computer call"));
+		else invalid_tool_calls.push((0, _langchain_core_output_parsers_openai_tools.makeInvalidToolCall)(item, "Malformed computer call"));
 	} else if (item.type === "image_generation_call") {
@@ -307,3 +306,3 @@ if (item.result) content.push({
 	}
-	return new __langchain_core_messages.AIMessage({
+	return new _langchain_core_messages.AIMessage({
 		id: messageId,
@@ -568,5 +567,5 @@ content,
 	else return null;
-	return new __langchain_core_outputs.ChatGenerationChunk({
+	return new _langchain_core_outputs.ChatGenerationChunk({
 		text: content.map((part) => part.text).join(""),
-		message: new __langchain_core_messages.AIMessageChunk({
+		message: new _langchain_core_messages.AIMessageChunk({
 			id,
@@ -622,3 +621,3 @@ content,
 const convertStandardContentMessageToResponsesInput = (message) => {
-	const isResponsesMessage = __langchain_core_messages.AIMessage.isInstance(message) && message.response_metadata?.model_provider === "openai";
+	const isResponsesMessage = _langchain_core_messages.AIMessage.isInstance(message) && message.response_metadata?.model_provider === "openai";
 	function* iterateItems() {
@@ -683,10 +682,8 @@ const messageRole = require_misc.iife(() => {
 				const base64Data = typeof block.data === "string" ? block.data : Buffer.from(block.data).toString("base64");
-				const mimeType = block.mimeType ?? "image/png";
 				return {
 					type: "input_image",
 					detail,
-					image_url: `data:${mimeType};base64,${base64Data}`
+					image_url: `data:${block.mimeType ?? "image/png"};base64,${base64Data}`
 				};
 			}
-			return void 0;
 		};
@@ -713,10 +710,8 @@ const resolveFileItem = (block) => {
 				const encoded = typeof block.data === "string" ? block.data : Buffer.from(block.data).toString("base64");
-				const mimeType = block.mimeType ?? "application/octet-stream";
 				return {
 					type: "input_file",
-					file_data: `data:${mimeType};base64,${encoded}`,
+					file_data: `data:${block.mimeType ?? "application/octet-stream"};base64,${encoded}`,
 					...filename ? { filename } : {}
 				};
 			}
-			return void 0;
 		};
@@ -726,4 +721,3 @@ const convertReasoningBlock = (block) => {
 				if (Array.isArray(block.summary)) {
-					const candidate = block.summary;
-					const mapped = candidate?.map((item) => item?.text).filter((text) => typeof text === "string") ?? [];
+					const mapped = block.summary?.map((item) => item?.text).filter((text) => typeof text === "string") ?? [];
 					if (mapped.length > 0) return mapped;
@@ -897,4 +891,10 @@ }
 			const toolMessage = lcMsg;
-			if (additional_kwargs?.type === "computer_call_output") {
-				const output = (() => {
+			if (additional_kwargs?.type === "computer_call_output")
+ /**
+			* Cast needed because OpenAI SDK types don't yet include input_image
+			* for computer-use-preview model output format
+			*/
+			return {
+				type: "computer_call_output",
+				output: (() => {
 					if (typeof toolMessage.content === "string") return {
@@ -925,13 +925,5 @@ type: "input_image",
 					throw new Error("Invalid computer call output");
-				})();
-				/**
-				* Cast needed because OpenAI SDK types don't yet include input_image
-				* for computer-use-preview model output format
-				*/
-				return {
-					type: "computer_call_output",
-					output,
-					call_id: toolMessage.tool_call_id
-				};
-			}
+				})(),
+				call_id: toolMessage.tool_call_id
+			};
 			if (toolMessage.additional_kwargs?.customTool) return {
@@ -994,3 +986,3 @@ type: "custom_tool_call_output",
 			const functionCallIds = additional_kwargs?.[_FUNCTION_CALL_IDS_MAP_KEY];
-			if (__langchain_core_messages.AIMessage.isInstance(lcMsg) && !!lcMsg.tool_calls?.length) input.push(...lcMsg.tool_calls.map((toolCall) => {
+			if (_langchain_core_messages.AIMessage.isInstance(lcMsg) && !!lcMsg.tool_calls?.length) input.push(...lcMsg.tool_calls.map((toolCall) => {
 				if (require_tools.isCustomToolCall(toolCall)) return {
@@ -1034,4 +1026,3 @@ type: "custom_tool_call",
 			if (toolOutputs != null) {
-				const castToolOutputs = toolOutputs;
-				const fallthroughCalls = castToolOutputs?.filter((item) => fallthroughCallTypes.includes(item.type));
+				const fallthroughCalls = toolOutputs?.filter((item) => fallthroughCallTypes.includes(item.type));
 				if (fallthroughCalls.length > 0) input.push(...fallthroughCalls);
@@ -1047,5 +1038,5 @@ }
 			};
-			const messages$1 = [];
+			const messages = [];
 			const content = lcMsg.content.flatMap((item) => {
-				if (item.type === "mcp_approval_response") messages$1.push({
+				if (item.type === "mcp_approval_response") messages.push({
 					type: "mcp_approval_response",
@@ -1055,3 +1046,3 @@ approval_request_id: item.approval_request_id,
 				});
-				if ((0, __langchain_core_messages.isDataContentBlock)(item)) return (0, __langchain_core_messages.convertToProviderContentBlock)(item, require_completions.completionsApiContentBlockConverter);
+				if ((0, _langchain_core_messages.isDataContentBlock)(item)) return (0, _langchain_core_messages.convertToProviderContentBlock)(item, require_completions.completionsApiContentBlockConverter);
 				if (item.type === "text") return {
@@ -1061,23 +1052,17 @@ type: "input_text",
 				};
-				if (item.type === "image_url") {
-					const imageUrl = require_misc.iife(() => {
+				if (item.type === "image_url") return {
+					type: "input_image",
+					image_url: require_misc.iife(() => {
 						if (typeof item.image_url === "string") return item.image_url;
 						else if (typeof item.image_url === "object" && item.image_url !== null && "url" in item.image_url) return item.image_url.url;
-						return void 0;
-					});
-					const detail = require_misc.iife(() => {
+					}),
+					detail: require_misc.iife(() => {
 						if (typeof item.image_url === "string") return "auto";
 						else if (typeof item.image_url === "object" && item.image_url !== null && "detail" in item.image_url) return item.image_url.detail;
-						return void 0;
-					});
-					return {
-						type: "input_image",
-						image_url: imageUrl,
-						detail
-					};
-				}
+					})
+				};
 				if (item.type === "input_text" || item.type === "input_image" || item.type === "input_file") return item;
 				return [];
 			});
-			if (content.length > 0) messages$1.push({
+			if (content.length > 0) messages.push({
 				type: "message",
@@ -1087,3 +1072,3 @@ role,
 			});
-			return messages$1;
+			return messages;
 		}
@@ -1090,0 +1075,0 @@ console.warn(`Unsupported role found when converting to OpenAI Responses API: ${role}`);

dist/converters/responses.js

 import { isComputerToolCall, isCustomToolCall, parseComputerCall, parseCustomToolCall } from "../utils/tools.js";
-import { getFilenameFromMetadata, getRequiredFilenameFromMetadata, iife, isReasoningModel, messageToOpenAIRole } from "../utils/misc.js";
+import { getFilenameFromMetadata, getRequiredFilenameFromMetadata, iife as iife$1, isReasoningModel, messageToOpenAIRole } from "../utils/misc.js";
 import { completionsApiContentBlockConverter } from "./completions.js";
@@ -619,3 +619,3 @@ import { AIMessage, AIMessageChunk, convertToProviderContentBlock, isDataContentBlock } from "@langchain/core/messages";
 	function* iterateItems() {
-		const messageRole = iife(() => {
+		const messageRole = iife$1(() => {
 			try {
@@ -661,3 +661,3 @@ const role = messageToOpenAIRole(message);
 		const resolveImageItem = (block) => {
-			const detail = iife(() => {
+			const detail = iife$1(() => {
 				const raw = block.metadata?.detail;
@@ -679,10 +679,8 @@ if (raw === "low" || raw === "high" || raw === "auto") return raw;
 				const base64Data = typeof block.data === "string" ? block.data : Buffer.from(block.data).toString("base64");
-				const mimeType = block.mimeType ?? "image/png";
 				return {
 					type: "input_image",
 					detail,
-					image_url: `data:${mimeType};base64,${base64Data}`
+					image_url: `data:${block.mimeType ?? "image/png"};base64,${base64Data}`
 				};
 			}
-			return void 0;
 		};
@@ -709,16 +707,13 @@ const resolveFileItem = (block) => {
 				const encoded = typeof block.data === "string" ? block.data : Buffer.from(block.data).toString("base64");
-				const mimeType = block.mimeType ?? "application/octet-stream";
 				return {
 					type: "input_file",
-					file_data: `data:${mimeType};base64,${encoded}`,
+					file_data: `data:${block.mimeType ?? "application/octet-stream"};base64,${encoded}`,
 					...filename ? { filename } : {}
 				};
 			}
-			return void 0;
 		};
 		const convertReasoningBlock = (block) => {
-			const summaryEntries = iife(() => {
+			const summaryEntries = iife$1(() => {
 				if (Array.isArray(block.summary)) {
-					const candidate = block.summary;
-					const mapped = candidate?.map((item) => item?.text).filter((text) => typeof text === "string") ?? [];
+					const mapped = block.summary?.map((item) => item?.text).filter((text) => typeof text === "string") ?? [];
 					if (mapped.length > 0) return mapped;
@@ -892,4 +887,10 @@ }
 			const toolMessage = lcMsg;
-			if (additional_kwargs?.type === "computer_call_output") {
-				const output = (() => {
+			if (additional_kwargs?.type === "computer_call_output")
+ /**
+			* Cast needed because OpenAI SDK types don't yet include input_image
+			* for computer-use-preview model output format
+			*/
+			return {
+				type: "computer_call_output",
+				output: (() => {
 					if (typeof toolMessage.content === "string") return {
@@ -920,13 +921,5 @@ type: "input_image",
 					throw new Error("Invalid computer call output");
-				})();
-				/**
-				* Cast needed because OpenAI SDK types don't yet include input_image
-				* for computer-use-preview model output format
-				*/
-				return {
-					type: "computer_call_output",
-					output,
-					call_id: toolMessage.tool_call_id
-				};
-			}
+				})(),
+				call_id: toolMessage.tool_call_id
+			};
 			if (toolMessage.additional_kwargs?.customTool) return {
@@ -975,3 +968,3 @@ type: "custom_tool_call_output",
 				...lcMsg.id && !zdrEnabled && lcMsg.id.startsWith("msg_") ? { id: lcMsg.id } : {},
-				content: iife(() => {
+				content: iife$1(() => {
 					if (typeof content === "string") return content;
@@ -1029,4 +1022,3 @@ return content.flatMap((item) => {
 			if (toolOutputs != null) {
-				const castToolOutputs = toolOutputs;
-				const fallthroughCalls = castToolOutputs?.filter((item) => fallthroughCallTypes.includes(item.type));
+				const fallthroughCalls = toolOutputs?.filter((item) => fallthroughCallTypes.includes(item.type));
 				if (fallthroughCalls.length > 0) input.push(...fallthroughCalls);
@@ -1042,5 +1034,5 @@ }
 			};
-			const messages$1 = [];
+			const messages = [];
 			const content = lcMsg.content.flatMap((item) => {
-				if (item.type === "mcp_approval_response") messages$1.push({
+				if (item.type === "mcp_approval_response") messages.push({
 					type: "mcp_approval_response",
@@ -1055,23 +1047,17 @@ approval_request_id: item.approval_request_id,
 				};
-				if (item.type === "image_url") {
-					const imageUrl = iife(() => {
+				if (item.type === "image_url") return {
+					type: "input_image",
+					image_url: iife$1(() => {
 						if (typeof item.image_url === "string") return item.image_url;
 						else if (typeof item.image_url === "object" && item.image_url !== null && "url" in item.image_url) return item.image_url.url;
-						return void 0;
-					});
-					const detail = iife(() => {
+					}),
+					detail: iife$1(() => {
 						if (typeof item.image_url === "string") return "auto";
 						else if (typeof item.image_url === "object" && item.image_url !== null && "detail" in item.image_url) return item.image_url.detail;
-						return void 0;
-					});
-					return {
-						type: "input_image",
-						image_url: imageUrl,
-						detail
-					};
-				}
+					})
+				};
 				if (item.type === "input_text" || item.type === "input_image" || item.type === "input_file") return item;
 				return [];
 			});
-			if (content.length > 0) messages$1.push({
+			if (content.length > 0) messages.push({
 				type: "message",
@@ -1081,3 +1067,3 @@ role,
 			});
-			return messages$1;
+			return messages;
 		}
@@ -1084,0 +1070,0 @@ console.warn(`Unsupported role found when converting to OpenAI Responses API: ${role}`);

dist/embeddings.cjs

@@ -1,8 +0,7 @@
-const require_rolldown_runtime = require('./_virtual/rolldown_runtime.cjs');
 const require_client = require('./utils/client.cjs');
 const require_azure = require('./utils/azure.cjs');
-const openai = require_rolldown_runtime.__toESM(require("openai"));
-const __langchain_core_utils_env = require_rolldown_runtime.__toESM(require("@langchain/core/utils/env"));
-const __langchain_core_utils_chunk_array = require_rolldown_runtime.__toESM(require("@langchain/core/utils/chunk_array"));
-const __langchain_core_embeddings = require_rolldown_runtime.__toESM(require("@langchain/core/embeddings"));
+let openai = require("openai");
+let _langchain_core_utils_env = require("@langchain/core/utils/env");
+let _langchain_core_utils_chunk_array = require("@langchain/core/utils/chunk_array");
+let _langchain_core_embeddings = require("@langchain/core/embeddings");
 
@@ -26,3 +25,3 @@ //#region src/embeddings.ts
 */
-var OpenAIEmbeddings = class extends __langchain_core_embeddings.Embeddings {
+var OpenAIEmbeddings = class extends _langchain_core_embeddings.Embeddings {
 	model = "text-embedding-ada-002";
@@ -50,4 +49,4 @@ /** @deprecated Use "model" instead */
 		super(fieldsWithDefaults);
-		const apiKey = fieldsWithDefaults?.apiKey ?? fieldsWithDefaults?.openAIApiKey ?? (0, __langchain_core_utils_env.getEnvironmentVariable)("OPENAI_API_KEY");
-		this.organization = fieldsWithDefaults?.configuration?.organization ?? (0, __langchain_core_utils_env.getEnvironmentVariable)("OPENAI_ORGANIZATION");
+		const apiKey = fieldsWithDefaults?.apiKey ?? fieldsWithDefaults?.openAIApiKey ?? (0, _langchain_core_utils_env.getEnvironmentVariable)("OPENAI_API_KEY");
+		this.organization = fieldsWithDefaults?.configuration?.organization ?? (0, _langchain_core_utils_env.getEnvironmentVariable)("OPENAI_ORGANIZATION");
 		this.model = fieldsWithDefaults?.model ?? fieldsWithDefaults?.modelName ?? this.model;
@@ -75,3 +74,3 @@ this.modelName = this.model;
 	async embedDocuments(texts) {
-		const batches = (0, __langchain_core_utils_chunk_array.chunkArray)(this.stripNewLines ? texts.map((t) => t.replace(/\n/g, " ")) : texts, this.batchSize);
+		const batches = (0, _langchain_core_utils_chunk_array.chunkArray)(this.stripNewLines ? texts.map((t) => t.replace(/\n/g, " ")) : texts, this.batchSize);
 		const batchRequests = batches.map((batch) => {
@@ -120,4 +119,3 @@ const params = {
 		if (!this.client) {
-			const openAIEndpointConfig = { baseURL: this.clientConfig.baseURL };
-			const endpoint = require_azure.getEndpoint(openAIEndpointConfig);
+			const endpoint = require_azure.getEndpoint({ baseURL: this.clientConfig.baseURL });
 			const params = {
@@ -136,7 +134,5 @@ ...this.clientConfig,
 			try {
-				const res = await this.client.embeddings.create(request, requestOptions);
-				return res;
+				return await this.client.embeddings.create(request, requestOptions);
 			} catch (e) {
-				const error = require_client.wrapOpenAIClientError(e);
-				throw error;
+				throw require_client.wrapOpenAIClientError(e);
 			}
@@ -143,0 +139,0 @@ });

dist/embeddings.d.cts

@@ -6,3 +6,2 @@ import { OpenAIApiKey } from "./types.cjs";
 //#region src/embeddings.d.ts
-
 /**
@@ -89,4 +88,3 @@ * @see https://platform.openai.com/docs/guides/embeddings#embedding-models
      */
-    openAIApiKey?: OpenAIApiKey;
-    /** The OpenAI API key to use. */
+    openAIApiKey?: OpenAIApiKey; /** The OpenAI API key to use. */
     apiKey?: OpenAIApiKey;
@@ -93,0 +91,0 @@ configuration?: ClientOptions;

dist/embeddings.d.ts

@@ -6,3 +6,2 @@ import { OpenAIApiKey } from "./types.js";
 //#region src/embeddings.d.ts
-
 /**
@@ -89,4 +88,3 @@ * @see https://platform.openai.com/docs/guides/embeddings#embedding-models
      */
-    openAIApiKey?: OpenAIApiKey;
-    /** The OpenAI API key to use. */
+    openAIApiKey?: OpenAIApiKey; /** The OpenAI API key to use. */
     apiKey?: OpenAIApiKey;
@@ -93,0 +91,0 @@ configuration?: ClientOptions;

dist/embeddings.js

@@ -116,4 +116,3 @@ import { wrapOpenAIClientError } from "./utils/client.js";
 		if (!this.client) {
-			const openAIEndpointConfig = { baseURL: this.clientConfig.baseURL };
-			const endpoint = getEndpoint(openAIEndpointConfig);
+			const endpoint = getEndpoint({ baseURL: this.clientConfig.baseURL });
 			const params = {
@@ -132,7 +131,5 @@ ...this.clientConfig,
 			try {
-				const res = await this.client.embeddings.create(request, requestOptions);
-				return res;
+				return await this.client.embeddings.create(request, requestOptions);
 			} catch (e) {
-				const error = wrapOpenAIClientError(e);
-				throw error;
+				throw wrapOpenAIClientError(e);
 			}
@@ -139,0 +136,0 @@ });

dist/index.cjs

@@ -1,2 +0,2 @@
-const require_rolldown_runtime = require('./_virtual/rolldown_runtime.cjs');
+Object.defineProperty(exports, Symbol.toStringTag, { value: 'Module' });
 const require_client = require('./utils/client.cjs');
@@ -23,3 +23,3 @@ const require_misc = require('./utils/misc.cjs');
 require('./converters/index.cjs');
-const openai = require_rolldown_runtime.__toESM(require("openai"));
+let openai = require("openai");
 
@@ -26,0 +26,0 @@ exports.AzureChatOpenAI = require_index$1.AzureChatOpenAI;

dist/llms.cjs

@@ -1,10 +0,9 @@
-const require_rolldown_runtime = require('./_virtual/rolldown_runtime.cjs');
 const require_client = require('./utils/client.cjs');
 const require_azure = require('./utils/azure.cjs');
-const openai = require_rolldown_runtime.__toESM(require("openai"));
-const __langchain_core_outputs = require_rolldown_runtime.__toESM(require("@langchain/core/outputs"));
-const __langchain_core_utils_env = require_rolldown_runtime.__toESM(require("@langchain/core/utils/env"));
-const __langchain_core_language_models_base = require_rolldown_runtime.__toESM(require("@langchain/core/language_models/base"));
-const __langchain_core_language_models_llms = require_rolldown_runtime.__toESM(require("@langchain/core/language_models/llms"));
-const __langchain_core_utils_chunk_array = require_rolldown_runtime.__toESM(require("@langchain/core/utils/chunk_array"));
+let openai = require("openai");
+let _langchain_core_outputs = require("@langchain/core/outputs");
+let _langchain_core_utils_env = require("@langchain/core/utils/env");
+let _langchain_core_language_models_base = require("@langchain/core/language_models/base");
+let _langchain_core_language_models_llms = require("@langchain/core/language_models/llms");
+let _langchain_core_utils_chunk_array = require("@langchain/core/utils/chunk_array");
 
@@ -40,3 +39,3 @@ //#region src/llms.ts
 */
-var OpenAI = class extends __langchain_core_language_models_llms.BaseLLM {
+var OpenAI = class extends _langchain_core_language_models_llms.BaseLLM {
 	static lc_name() {
@@ -88,5 +87,5 @@ return "OpenAI";
 		super(fields ?? {});
-		this.openAIApiKey = fields?.apiKey ?? fields?.openAIApiKey ?? (0, __langchain_core_utils_env.getEnvironmentVariable)("OPENAI_API_KEY");
+		this.openAIApiKey = fields?.apiKey ?? fields?.openAIApiKey ?? (0, _langchain_core_utils_env.getEnvironmentVariable)("OPENAI_API_KEY");
 		this.apiKey = this.openAIApiKey;
-		this.organization = fields?.configuration?.organization ?? (0, __langchain_core_utils_env.getEnvironmentVariable)("OPENAI_ORGANIZATION");
+		this.organization = fields?.configuration?.organization ?? (0, _langchain_core_utils_env.getEnvironmentVariable)("OPENAI_ORGANIZATION");
 		this.model = fields?.model ?? fields?.modelName ?? this.model;
@@ -177,3 +176,3 @@ if ((this.model?.startsWith("gpt-3.5-turbo") || this.model?.startsWith("gpt-4") || this.model?.startsWith("o1")) && !this.model?.includes("-instruct")) throw new Error([
 	async _generate(prompts, options, runManager) {
-		const subPrompts = (0, __langchain_core_utils_chunk_array.chunkArray)(prompts, this.batchSize);
+		const subPrompts = (0, _langchain_core_utils_chunk_array.chunkArray)(prompts, this.batchSize);
 		const choices = [];
@@ -184,3 +183,3 @@ const tokenUsage = {};
 			if (prompts.length !== 1) throw new Error("max_tokens set to -1 not supported for multiple inputs");
-			params.max_tokens = await (0, __langchain_core_language_models_base.calculateMaxTokens)({
+			params.max_tokens = await (0, _langchain_core_language_models_base.calculateMaxTokens)({
 				prompt: prompts[0],
@@ -192,3 +191,3 @@ modelName: this.model
 			const data = params.stream ? await (async () => {
-				const choices$1 = [];
+				const choices = [];
 				let response;
@@ -208,5 +207,5 @@ const stream = await this.completionWithRetry({
 					for (const part of message.choices) {
-						if (!choices$1[part.index]) choices$1[part.index] = part;
+						if (!choices[part.index]) choices[part.index] = part;
 						else {
-							const choice = choices$1[part.index];
+							const choice = choices[part.index];
 							choice.text += part.text;
@@ -225,3 +224,3 @@ choice.finish_reason = part.finish_reason;
 					...response,
-					choices: choices$1
+					choices
 				};
@@ -246,11 +245,10 @@ })() : await this.completionWithRetry({
 		}
-		const generations = (0, __langchain_core_utils_chunk_array.chunkArray)(choices, this.n).map((promptChoices) => promptChoices.map((choice) => ({
-			text: choice.text ?? "",
-			generationInfo: {
-				finishReason: choice.finish_reason,
-				logprobs: choice.logprobs
-			}
-		})));
 		return {
-			generations,
+			generations: (0, _langchain_core_utils_chunk_array.chunkArray)(choices, this.n).map((promptChoices) => promptChoices.map((choice) => ({
+				text: choice.text ?? "",
+				generationInfo: {
+					finishReason: choice.finish_reason,
+					logprobs: choice.logprobs
+				}
+			}))),
 			llmOutput: { tokenUsage }
@@ -269,3 +267,3 @@ };
 			if (!choice) continue;
-			const chunk = new __langchain_core_outputs.GenerationChunk({
+			const chunk = new _langchain_core_outputs.GenerationChunk({
 				text: choice.text,
@@ -283,7 +281,5 @@ generationInfo: { finishReason: choice.finish_reason }
 			try {
-				const res = await this.client.completions.create(request, requestOptions);
-				return res;
+				return await this.client.completions.create(request, requestOptions);
 			} catch (e) {
-				const error = require_client.wrapOpenAIClientError(e);
-				throw error;
+				throw require_client.wrapOpenAIClientError(e);
 			}
@@ -300,4 +296,3 @@ });
 		if (!this.client) {
-			const openAIEndpointConfig = { baseURL: this.clientConfig.baseURL };
-			const endpoint = require_azure.getEndpoint(openAIEndpointConfig);
+			const endpoint = require_azure.getEndpoint({ baseURL: this.clientConfig.baseURL });
 			const params = {
@@ -313,7 +308,6 @@ ...this.clientConfig,
 		}
-		const requestOptions = {
+		return {
 			...this.clientConfig,
 			...options
 		};
-		return requestOptions;
 	}
@@ -320,0 +314,0 @@ _llmType() {

dist/llms.d.cts

@@ -8,3 +8,2 @@ import { OpenAIApiKey, OpenAICallOptions, OpenAICoreRequestOptions, OpenAIInput } from "./types.cjs";
 //#region src/llms.d.ts
-
 /**
@@ -11,0 +10,0 @@ * Wrapper around OpenAI large language models.

dist/llms.d.ts

@@ -8,3 +8,2 @@ import { OpenAIApiKey, OpenAICallOptions, OpenAICoreRequestOptions, OpenAIInput } from "./types.js";
 //#region src/llms.d.ts
-
 /**
@@ -11,0 +10,0 @@ * Wrapper around OpenAI large language models.

dist/llms.js

@@ -187,3 +187,3 @@ import { wrapOpenAIClientError } from "./utils/client.js";
 			const data = params.stream ? await (async () => {
-				const choices$1 = [];
+				const choices = [];
 				let response;
@@ -203,5 +203,5 @@ const stream = await this.completionWithRetry({
 					for (const part of message.choices) {
-						if (!choices$1[part.index]) choices$1[part.index] = part;
+						if (!choices[part.index]) choices[part.index] = part;
 						else {
-							const choice = choices$1[part.index];
+							const choice = choices[part.index];
 							choice.text += part.text;
@@ -220,3 +220,3 @@ choice.finish_reason = part.finish_reason;
 					...response,
-					choices: choices$1
+					choices
 				};
@@ -241,11 +241,10 @@ })() : await this.completionWithRetry({
 		}
-		const generations = chunkArray(choices, this.n).map((promptChoices) => promptChoices.map((choice) => ({
-			text: choice.text ?? "",
-			generationInfo: {
-				finishReason: choice.finish_reason,
-				logprobs: choice.logprobs
-			}
-		})));
 		return {
-			generations,
+			generations: chunkArray(choices, this.n).map((promptChoices) => promptChoices.map((choice) => ({
+				text: choice.text ?? "",
+				generationInfo: {
+					finishReason: choice.finish_reason,
+					logprobs: choice.logprobs
+				}
+			}))),
 			llmOutput: { tokenUsage }
@@ -277,7 +276,5 @@ };
 			try {
-				const res = await this.client.completions.create(request, requestOptions);
-				return res;
+				return await this.client.completions.create(request, requestOptions);
 			} catch (e) {
-				const error = wrapOpenAIClientError(e);
-				throw error;
+				throw wrapOpenAIClientError(e);
 			}
@@ -294,4 +291,3 @@ });
 		if (!this.client) {
-			const openAIEndpointConfig = { baseURL: this.clientConfig.baseURL };
-			const endpoint = getEndpoint(openAIEndpointConfig);
+			const endpoint = getEndpoint({ baseURL: this.clientConfig.baseURL });
 			const params = {
@@ -307,7 +303,6 @@ ...this.clientConfig,
 		}
-		const requestOptions = {
+		return {
 			...this.clientConfig,
 			...options
 		};
-		return requestOptions;
 	}
@@ -314,0 +309,0 @@ _llmType() {

dist/tools/applyPatch.cjs

@@ -1,4 +0,3 @@
-const require_rolldown_runtime = require('../_virtual/rolldown_runtime.cjs');
-const __langchain_core_tools = require_rolldown_runtime.__toESM(require("@langchain/core/tools"));
-const zod_v4 = require_rolldown_runtime.__toESM(require("zod/v4"));
+let _langchain_core_tools = require("@langchain/core/tools");
+let zod_v4 = require("zod/v4");
 
@@ -102,3 +101,3 @@ //#region src/tools/applyPatch.ts
 function applyPatch(options) {
-	const patchTool = (0, __langchain_core_tools.tool)(options.execute, {
+	const patchTool = (0, _langchain_core_tools.tool)(options.execute, {
 		name: TOOL_NAME,
@@ -105,0 +104,0 @@ description: "Apply structured diffs to create, update, or delete files in the codebase.",

dist/tools/applyPatch.d.cts

@@ -6,3 +6,2 @@ import { OpenAI as OpenAI$1 } from "openai";
 //#region src/tools/applyPatch.d.ts
-
 /**
@@ -9,0 +8,0 @@ * Re-export operation types from OpenAI SDK for convenience.

dist/tools/applyPatch.d.ts

@@ -6,3 +6,2 @@ import { OpenAI as OpenAI$1 } from "openai";
 //#region src/tools/applyPatch.d.ts
-
 /**
@@ -9,0 +8,0 @@ * Re-export operation types from OpenAI SDK for convenience.

dist/tools/codeInterpreter.d.cts

@@ -5,3 +5,2 @@ import { OpenAI as OpenAI$1 } from "openai";
 //#region src/tools/codeInterpreter.d.ts
-
 /**
@@ -8,0 +7,0 @@ * Memory limit options for the Code Interpreter container.

dist/tools/codeInterpreter.d.ts

@@ -5,3 +5,2 @@ import { OpenAI as OpenAI$1 } from "openai";
 //#region src/tools/codeInterpreter.d.ts
-
 /**
@@ -8,0 +7,0 @@ * Memory limit options for the Code Interpreter container.

dist/tools/computerUse.cjs

@@ -1,5 +0,4 @@
-const require_rolldown_runtime = require('../_virtual/rolldown_runtime.cjs');
-const __langchain_core_messages = require_rolldown_runtime.__toESM(require("@langchain/core/messages"));
-const __langchain_core_tools = require_rolldown_runtime.__toESM(require("@langchain/core/tools"));
-const zod_v4 = require_rolldown_runtime.__toESM(require("zod/v4"));
+let _langchain_core_messages = require("@langchain/core/messages");
+let _langchain_core_tools = require("@langchain/core/tools");
+let zod_v4 = require("zod/v4");
 
@@ -189,9 +188,4 @@ //#region src/tools/computerUse.ts
 function computerUse(options) {
-	const computerTool = (0, __langchain_core_tools.tool)(async (input, runtime) => {
-		/**
-		* get computer_use call id from runtime
-		*/
-		const aiMessage = runtime.state?.messages.at(-1);
-		const computerToolCall = aiMessage?.tool_calls?.find((tc) => tc.name === "computer_use");
-		const computerToolCallId = computerToolCall?.id;
+	const computerTool = (0, _langchain_core_tools.tool)(async (input, runtime) => {
+		const computerToolCallId = ((runtime.state?.messages.at(-1))?.tool_calls?.find((tc) => tc.name === "computer_use"))?.id;
 		if (!computerToolCallId) throw new Error("Computer use call id not found");
@@ -202,3 +196,3 @@ const result = await options.execute(input.action, runtime);
 		*/
-		if (typeof result === "string") return new __langchain_core_messages.ToolMessage({
+		if (typeof result === "string") return new _langchain_core_messages.ToolMessage({
 			content: result,
@@ -211,3 +205,3 @@ tool_call_id: computerToolCallId,
 		*/
-		return new __langchain_core_messages.ToolMessage({
+		return new _langchain_core_messages.ToolMessage({
 			...result,
@@ -214,0 +208,0 @@ tool_call_id: computerToolCallId,

dist/tools/computerUse.d.cts

@@ -7,3 +7,2 @@ import { OpenAI as OpenAI$1 } from "openai";
 //#region src/tools/computerUse.d.ts
-
 /**
@@ -10,0 +9,0 @@ * The type of computer environment to control.

dist/tools/computerUse.d.ts

@@ -7,3 +7,2 @@ import { OpenAI as OpenAI$1 } from "openai";
 //#region src/tools/computerUse.d.ts
-
 /**
@@ -10,0 +9,0 @@ * The type of computer environment to control.

dist/tools/computerUse.js

@@ -189,8 +189,3 @@ import { ToolMessage } from "@langchain/core/messages";
 	const computerTool = tool(async (input, runtime) => {
-		/**
-		* get computer_use call id from runtime
-		*/
-		const aiMessage = runtime.state?.messages.at(-1);
-		const computerToolCall = aiMessage?.tool_calls?.find((tc) => tc.name === "computer_use");
-		const computerToolCallId = computerToolCall?.id;
+		const computerToolCallId = ((runtime.state?.messages.at(-1))?.tool_calls?.find((tc) => tc.name === "computer_use"))?.id;
 		if (!computerToolCallId) throw new Error("Computer use call id not found");
@@ -197,0 +192,0 @@ const result = await options.execute(input.action, runtime);

dist/tools/custom.cjs

@@ -1,9 +0,8 @@
-const require_rolldown_runtime = require('../_virtual/rolldown_runtime.cjs');
-const __langchain_core_runnables = require_rolldown_runtime.__toESM(require("@langchain/core/runnables"));
-const __langchain_core_tools = require_rolldown_runtime.__toESM(require("@langchain/core/tools"));
-const __langchain_core_singletons = require_rolldown_runtime.__toESM(require("@langchain/core/singletons"));
+let _langchain_core_runnables = require("@langchain/core/runnables");
+let _langchain_core_tools = require("@langchain/core/tools");
+let _langchain_core_singletons = require("@langchain/core/singletons");
 
 //#region src/tools/custom.ts
 function customTool(func, fields) {
-	return new __langchain_core_tools.DynamicTool({
+	return new _langchain_core_tools.DynamicTool({
 		...fields,
@@ -13,4 +12,4 @@ description: "",
 		func: async (input, runManager, config) => new Promise((resolve, reject) => {
-			const childConfig = (0, __langchain_core_runnables.patchConfig)(config, { callbacks: runManager?.getChild() });
-			__langchain_core_singletons.AsyncLocalStorageProviderSingleton.runWithConfig((0, __langchain_core_runnables.pickRunnableConfigKeys)(childConfig), async () => {
+			const childConfig = (0, _langchain_core_runnables.patchConfig)(config, { callbacks: runManager?.getChild() });
+			_langchain_core_singletons.AsyncLocalStorageProviderSingleton.runWithConfig((0, _langchain_core_runnables.pickRunnableConfigKeys)(childConfig), async () => {
 				try {
@@ -17,0 +16,0 @@ resolve(func(input, childConfig));

dist/tools/dalle.cjs

@@ -1,5 +0,4 @@
-const require_rolldown_runtime = require('../_virtual/rolldown_runtime.cjs');
-const openai = require_rolldown_runtime.__toESM(require("openai"));
-const __langchain_core_utils_env = require_rolldown_runtime.__toESM(require("@langchain/core/utils/env"));
-const __langchain_core_tools = require_rolldown_runtime.__toESM(require("@langchain/core/tools"));
+let openai = require("openai");
+let _langchain_core_utils_env = require("@langchain/core/utils/env");
+let _langchain_core_tools = require("@langchain/core/tools");
 
@@ -10,3 +9,3 @@ //#region src/tools/dalle.ts
 */
-var DallEAPIWrapper = class extends __langchain_core_tools.Tool {
+var DallEAPIWrapper = class extends _langchain_core_tools.Tool {
 	static lc_name() {
@@ -32,11 +31,8 @@ return "DallEAPIWrapper";
 		super(fields);
-		const openAIApiKey = fields?.apiKey ?? fields?.openAIApiKey ?? (0, __langchain_core_utils_env.getEnvironmentVariable)("OPENAI_API_KEY");
-		const organization = fields?.organization ?? (0, __langchain_core_utils_env.getEnvironmentVariable)("OPENAI_ORGANIZATION");
-		const clientConfig = {
-			apiKey: openAIApiKey,
-			organization,
+		this.client = new openai.OpenAI({
+			apiKey: fields?.apiKey ?? fields?.openAIApiKey ?? (0, _langchain_core_utils_env.getEnvironmentVariable)("OPENAI_API_KEY"),
+			organization: fields?.organization ?? (0, _langchain_core_utils_env.getEnvironmentVariable)("OPENAI_ORGANIZATION"),
 			dangerouslyAllowBrowser: true,
 			baseURL: fields?.baseUrl
-		};
-		this.client = new openai.OpenAI(clientConfig);
+		});
 		this.model = fields?.model ?? fields?.modelName ?? this.model;
@@ -62,3 +58,3 @@ this.style = fields?.style ?? this.style;
 		if (this.dallEResponseFormat === "url") return response.flatMap((res) => {
-			const imageUrlContent = res.data?.flatMap((item) => {
+			return res.data?.flatMap((item) => {
 				if (!item.url) return [];
@@ -70,6 +66,5 @@ return {
 			}).filter((item) => item !== void 0 && item.type === "image_url" && typeof item.image_url === "string" && item.image_url !== void 0) ?? [];
-			return imageUrlContent;
 		});
 		else return response.flatMap((res) => {
-			const b64Content = res.data?.flatMap((item) => {
+			return res.data?.flatMap((item) => {
 				if (!item.b64_json) return [];
@@ -81,3 +76,2 @@ return {
 			}).filter((item) => item !== void 0 && item.type === "image_url" && typeof item.image_url === "object" && "url" in item.image_url && typeof item.image_url.url === "string" && item.image_url.url !== void 0) ?? [];
-			return b64Content;
 		});
@@ -84,0 +78,0 @@ }

dist/tools/dalle.d.cts

@@ -6,3 +6,2 @@ import { OpenAI as OpenAI$1 } from "openai";
 //#region src/tools/dalle.d.ts
-
 /**
@@ -9,0 +8,0 @@ * @see https://platform.openai.com/docs/api-reference/images/create

dist/tools/dalle.d.ts

@@ -6,3 +6,2 @@ import { OpenAI as OpenAI$1 } from "openai";
 //#region src/tools/dalle.d.ts
-
 /**
@@ -9,0 +8,0 @@ * @see https://platform.openai.com/docs/api-reference/images/create

dist/tools/dalle.js

@@ -30,11 +30,8 @@ import { OpenAI as OpenAI$1 } from "openai";
 		super(fields);
-		const openAIApiKey = fields?.apiKey ?? fields?.openAIApiKey ?? getEnvironmentVariable("OPENAI_API_KEY");
-		const organization = fields?.organization ?? getEnvironmentVariable("OPENAI_ORGANIZATION");
-		const clientConfig = {
-			apiKey: openAIApiKey,
-			organization,
+		this.client = new OpenAI$1({
+			apiKey: fields?.apiKey ?? fields?.openAIApiKey ?? getEnvironmentVariable("OPENAI_API_KEY"),
+			organization: fields?.organization ?? getEnvironmentVariable("OPENAI_ORGANIZATION"),
 			dangerouslyAllowBrowser: true,
 			baseURL: fields?.baseUrl
-		};
-		this.client = new OpenAI$1(clientConfig);
+		});
 		this.model = fields?.model ?? fields?.modelName ?? this.model;
@@ -60,3 +57,3 @@ this.style = fields?.style ?? this.style;
 		if (this.dallEResponseFormat === "url") return response.flatMap((res) => {
-			const imageUrlContent = res.data?.flatMap((item) => {
+			return res.data?.flatMap((item) => {
 				if (!item.url) return [];
@@ -68,6 +65,5 @@ return {
 			}).filter((item) => item !== void 0 && item.type === "image_url" && typeof item.image_url === "string" && item.image_url !== void 0) ?? [];
-			return imageUrlContent;
 		});
 		else return response.flatMap((res) => {
-			const b64Content = res.data?.flatMap((item) => {
+			return res.data?.flatMap((item) => {
 				if (!item.b64_json) return [];
@@ -79,3 +75,2 @@ return {
 			}).filter((item) => item !== void 0 && item.type === "image_url" && typeof item.image_url === "object" && "url" in item.image_url && typeof item.image_url.url === "string" && item.image_url.url !== void 0) ?? [];
-			return b64Content;
 		});
@@ -82,0 +77,0 @@ }

dist/tools/fileSearch.d.cts

@@ -5,3 +5,2 @@ import { OpenAI as OpenAI$1 } from "openai";
 //#region src/tools/fileSearch.d.ts
-
 /**
@@ -8,0 +7,0 @@ * Comparison operators for file attribute filtering.

dist/tools/fileSearch.d.ts

@@ -5,3 +5,2 @@ import { OpenAI as OpenAI$1 } from "openai";
 //#region src/tools/fileSearch.d.ts
-
 /**
@@ -8,0 +7,0 @@ * Comparison operators for file attribute filtering.

dist/tools/imageGeneration.d.cts

@@ -5,3 +5,2 @@ import { OpenAI as OpenAI$1 } from "openai";
 //#region src/tools/imageGeneration.d.ts
-
 /**
@@ -8,0 +7,0 @@ * Optional mask for inpainting. Allows you to specify areas of the image

dist/tools/imageGeneration.d.ts

@@ -5,3 +5,2 @@ import { OpenAI as OpenAI$1 } from "openai";
 //#region src/tools/imageGeneration.d.ts
-
 /**
@@ -8,0 +7,0 @@ * Optional mask for inpainting. Allows you to specify areas of the image

dist/tools/index.d.cts

@@ -13,3 +13,2 @@ import { DallEAPIWrapper, DallEAPIWrapperParams, OpenAIImageModelId } from "./dalle.cjs";
 //#region src/tools/index.d.ts
-
 declare const tools: {
@@ -16,0 +15,0 @@ webSearch: typeof webSearch;

dist/tools/index.d.ts

@@ -13,3 +13,2 @@ import { DallEAPIWrapper, DallEAPIWrapperParams, OpenAIImageModelId } from "./dalle.js";
 //#region src/tools/index.d.ts
-
 declare const tools: {
@@ -16,0 +15,0 @@ webSearch: typeof webSearch;

dist/tools/localShell.cjs

@@ -1,4 +0,3 @@
-const require_rolldown_runtime = require('../_virtual/rolldown_runtime.cjs');
-const __langchain_core_tools = require_rolldown_runtime.__toESM(require("@langchain/core/tools"));
-const zod_v4 = require_rolldown_runtime.__toESM(require("zod/v4"));
+let _langchain_core_tools = require("@langchain/core/tools");
+let zod_v4 = require("zod/v4");
 
@@ -131,3 +130,3 @@ //#region src/tools/localShell.ts
 function localShell(options) {
-	const shellTool = (0, __langchain_core_tools.tool)(options.execute, {
+	const shellTool = (0, _langchain_core_tools.tool)(options.execute, {
 		name: TOOL_NAME,
@@ -134,0 +133,0 @@ description: "Execute shell commands locally on the machine. Commands are provided as argv tokens.",

dist/tools/localShell.d.cts

@@ -6,3 +6,2 @@ import { OpenAI as OpenAI$1 } from "openai";
 //#region src/tools/localShell.d.ts
-
 /**
@@ -9,0 +8,0 @@ * Re-export action type from OpenAI SDK for convenience.

dist/tools/localShell.d.ts

@@ -6,3 +6,2 @@ import { OpenAI as OpenAI$1 } from "openai";
 //#region src/tools/localShell.d.ts
-
 /**
@@ -9,0 +8,0 @@ * Re-export action type from OpenAI SDK for convenience.

dist/tools/mcp.d.cts

@@ -5,3 +5,2 @@ import { OpenAI as OpenAI$1 } from "openai";
 //#region src/tools/mcp.d.ts
-
 /**
@@ -8,0 +7,0 @@ * Available connector IDs for OpenAI's built-in service connectors.

dist/tools/mcp.d.ts

@@ -5,3 +5,2 @@ import { OpenAI as OpenAI$1 } from "openai";
 //#region src/tools/mcp.d.ts
-
 /**
@@ -8,0 +7,0 @@ * Available connector IDs for OpenAI's built-in service connectors.

dist/tools/shell.cjs

@@ -1,4 +0,3 @@
-const require_rolldown_runtime = require('../_virtual/rolldown_runtime.cjs');
-const __langchain_core_tools = require_rolldown_runtime.__toESM(require("@langchain/core/tools"));
-const zod_v4 = require_rolldown_runtime.__toESM(require("zod/v4"));
+let _langchain_core_tools = require("@langchain/core/tools");
+let zod_v4 = require("zod/v4");
 
@@ -149,3 +148,3 @@ //#region src/tools/shell.ts
 	};
-	const shellTool = (0, __langchain_core_tools.tool)(executeWrapper, {
+	const shellTool = (0, _langchain_core_tools.tool)(executeWrapper, {
 		name: TOOL_NAME,
@@ -152,0 +151,0 @@ description: "Execute shell commands in a managed environment. Commands can be run concurrently.",

dist/tools/shell.d.cts

@@ -6,3 +6,2 @@ import { OpenAI as OpenAI$1 } from "openai";
 //#region src/tools/shell.d.ts
-
 /**
@@ -9,0 +8,0 @@ * Re-export action type from OpenAI SDK for convenience.

dist/tools/shell.d.ts

@@ -6,3 +6,2 @@ import { OpenAI as OpenAI$1 } from "openai";
 //#region src/tools/shell.d.ts
-
 /**
@@ -9,0 +8,0 @@ * Re-export action type from OpenAI SDK for convenience.

dist/tools/webSearch.d.cts

@@ -5,3 +5,2 @@ import { OpenAI as OpenAI$1 } from "openai";
 //#region src/tools/webSearch.d.ts
-
 /**
@@ -8,0 +7,0 @@ * User location configuration for geographic search refinement.

dist/tools/webSearch.d.ts

@@ -5,3 +5,2 @@ import { OpenAI as OpenAI$1 } from "openai";
 //#region src/tools/webSearch.d.ts
-
 /**
@@ -8,0 +7,0 @@ * User location configuration for geographic search refinement.

dist/types.d.cts

@@ -8,3 +8,2 @@ import { ClientOptions, OpenAI as OpenAI$1 } from "openai";
 //#region src/types.d.ts
-
 /**
@@ -11,0 +10,0 @@ * @see https://platform.openai.com/docs/models

dist/types.d.ts

@@ -8,3 +8,2 @@ import { ClientOptions, OpenAI as OpenAI$1 } from "openai";
 //#region src/types.d.ts
-
 /**
@@ -11,0 +10,0 @@ * @see https://platform.openai.com/docs/models

dist/utils/azure.cjs

@@ -1,4 +0,3 @@
-const require_rolldown_runtime = require('../_virtual/rolldown_runtime.cjs');
 const require_misc = require('./misc.cjs');
-const __langchain_core_utils_env = require_rolldown_runtime.__toESM(require("@langchain/core/utils/env"));
+let _langchain_core_utils_env = require("@langchain/core/utils/env");
 
@@ -87,3 +86,3 @@ //#region src/utils/azure.ts
 function getFormattedEnv() {
-	let env = (0, __langchain_core_utils_env.getEnv)();
+	let env = (0, _langchain_core_utils_env.getEnv)();
 	if (env === "node" || env === "deno") env = `(${env}/${process.version}; ${process.platform}; ${process.arch})`;
@@ -90,0 +89,0 @@ return env;

dist/utils/client.cjs

@@ -1,6 +0,11 @@
-const require_rolldown_runtime = require('../_virtual/rolldown_runtime.cjs');
 const require_errors = require('./errors.cjs');
-const openai = require_rolldown_runtime.__toESM(require("openai"));
+let openai = require("openai");
+let _langchain_core_errors = require("@langchain/core/errors");
 
 //#region src/utils/client.ts
+function _isContextOverflowError(e) {
+	if (String(e).includes("context_length_exceeded")) return true;
+	if ("message" in e && typeof e.message === "string" && (e.message.includes("Input tokens exceed the configured limit") || e.message.includes("exceeds the context window"))) return true;
+	return false;
+}
 function wrapOpenAIClientError(e) {
@@ -15,3 +20,4 @@ if (!e || typeof e !== "object") return e;
 		error.name = "AbortError";
-	} else if ("status" in e && e.status === 400 && "message" in e && typeof e.message === "string" && e.message.includes("tool_calls")) error = require_errors.addLangChainErrorFields(e, "INVALID_TOOL_RESULTS");
+	} else if (_isContextOverflowError(e)) error = new _langchain_core_errors.ContextOverflowError("message" in e && typeof e.message === "string" ? e.message : String(e), { cause: e });
+	else if ("status" in e && e.status === 400 && "message" in e && typeof e.message === "string" && e.message.includes("tool_calls")) error = require_errors.addLangChainErrorFields(e, "INVALID_TOOL_RESULTS");
 	else if ("status" in e && e.status === 401) error = require_errors.addLangChainErrorFields(e, "MODEL_AUTHENTICATION");
@@ -18,0 +24,0 @@ else if ("status" in e && e.status === 429) error = require_errors.addLangChainErrorFields(e, "MODEL_RATE_LIMIT");

dist/utils/client.js

 import { addLangChainErrorFields } from "./errors.js";
 import { APIConnectionTimeoutError, APIUserAbortError } from "openai";
+import { ContextOverflowError } from "@langchain/core/errors";
 
 //#region src/utils/client.ts
+function _isContextOverflowError(e) {
+	if (String(e).includes("context_length_exceeded")) return true;
+	if ("message" in e && typeof e.message === "string" && (e.message.includes("Input tokens exceed the configured limit") || e.message.includes("exceeds the context window"))) return true;
+	return false;
+}
 function wrapOpenAIClientError(e) {
@@ -14,3 +20,4 @@ if (!e || typeof e !== "object") return e;
 		error.name = "AbortError";
-	} else if ("status" in e && e.status === 400 && "message" in e && typeof e.message === "string" && e.message.includes("tool_calls")) error = addLangChainErrorFields(e, "INVALID_TOOL_RESULTS");
+	} else if (_isContextOverflowError(e)) error = new ContextOverflowError("message" in e && typeof e.message === "string" ? e.message : String(e), { cause: e });
+	else if ("status" in e && e.status === 400 && "message" in e && typeof e.message === "string" && e.message.includes("tool_calls")) error = addLangChainErrorFields(e, "INVALID_TOOL_RESULTS");
 	else if ("status" in e && e.status === 401) error = addLangChainErrorFields(e, "MODEL_AUTHENTICATION");
@@ -17,0 +24,0 @@ else if ("status" in e && e.status === 429) error = addLangChainErrorFields(e, "MODEL_RATE_LIMIT");

dist/utils/misc.cjs

@@ -1,3 +0,2 @@
-const require_rolldown_runtime = require('../_virtual/rolldown_runtime.cjs');
-const __langchain_core_messages = require_rolldown_runtime.__toESM(require("@langchain/core/messages"));
+let _langchain_core_messages = require("@langchain/core/messages");
 
@@ -33,3 +32,3 @@ //#region src/utils/misc.ts
 		case "generic":
-			if (!__langchain_core_messages.ChatMessage.isInstance(message)) throw new Error("Invalid generic chat message");
+			if (!_langchain_core_messages.ChatMessage.isInstance(message)) throw new Error("Invalid generic chat message");
 			return extractGenericMessageCustomRole(message);
@@ -36,0 +35,0 @@ default: throw new Error(`Unknown message type: ${type}`);

dist/utils/misc.d.cts

@@ -5,3 +5,2 @@ import { OpenAI as OpenAI$1 } from "openai";
 //#region src/utils/misc.d.ts
-
 declare function messageToOpenAIRole(message: BaseMessage): OpenAI$1.ChatCompletionRole;
@@ -8,0 +7,0 @@ //#endregion

dist/utils/misc.d.ts

@@ -5,3 +5,2 @@ import { OpenAI as OpenAI$1 } from "openai";
 //#region src/utils/misc.d.ts
-
 declare function messageToOpenAIRole(message: BaseMessage): OpenAI$1.ChatCompletionRole;
@@ -8,0 +7,0 @@ //#endregion

dist/utils/output.cjs

@@ -1,6 +0,5 @@
-const require_rolldown_runtime = require('../_virtual/rolldown_runtime.cjs');
-const __langchain_core_utils_types = require_rolldown_runtime.__toESM(require("@langchain/core/utils/types"));
-const __langchain_core_utils_json_schema = require_rolldown_runtime.__toESM(require("@langchain/core/utils/json_schema"));
-const zod_v4_core = require_rolldown_runtime.__toESM(require("zod/v4/core"));
-const openai_helpers_zod = require_rolldown_runtime.__toESM(require("openai/helpers/zod"));
+let _langchain_core_utils_types = require("@langchain/core/utils/types");
+let _langchain_core_utils_json_schema = require("@langchain/core/utils/json_schema");
+let zod_v4_core = require("zod/v4/core");
+let openai_helpers_zod = require("openai/helpers/zod");
 
@@ -53,4 +52,4 @@ //#region src/utils/output.ts
 function interopZodResponseFormat(zodSchema, name, props) {
-	if ((0, __langchain_core_utils_types.isZodSchemaV3)(zodSchema)) return (0, openai_helpers_zod.zodResponseFormat)(zodSchema, name, props);
-	if ((0, __langchain_core_utils_types.isZodSchemaV4)(zodSchema)) return makeParseableResponseFormat({
+	if ((0, _langchain_core_utils_types.isZodSchemaV3)(zodSchema)) return (0, openai_helpers_zod.zodResponseFormat)(zodSchema, name, props);
+	if ((0, _langchain_core_utils_types.isZodSchemaV4)(zodSchema)) return makeParseableResponseFormat({
 		type: "json_schema",
@@ -61,3 +60,3 @@ json_schema: {
 			strict: true,
-			schema: (0, __langchain_core_utils_json_schema.toJsonSchema)(zodSchema, {
+			schema: (0, _langchain_core_utils_json_schema.toJsonSchema)(zodSchema, {
 				cycles: "ref",
@@ -64,0 +63,0 @@ reused: "ref",

dist/utils/prompts.cjs

@@ -36,4 +36,3 @@ const require_completions = require('../converters/completions.cjs');
 function convertPromptToOpenAI(formattedPrompt) {
-	const messages = formattedPrompt.toChatMessages();
-	return { messages: require_completions.convertMessagesToCompletionsMessageParams({ messages }) };
+	return { messages: require_completions.convertMessagesToCompletionsMessageParams({ messages: formattedPrompt.toChatMessages() }) };
 }
@@ -40,0 +39,0 @@

dist/utils/prompts.d.cts

@@ -5,3 +5,2 @@ import { OpenAI as OpenAI$1 } from "openai";
 //#region src/utils/prompts.d.ts
-
 /**
@@ -8,0 +7,0 @@ * Convert a formatted LangChain prompt (e.g. pulled from the hub) into

dist/utils/prompts.d.ts

@@ -5,3 +5,2 @@ import { OpenAI as OpenAI$1 } from "openai";
 //#region src/utils/prompts.d.ts
-
 /**
@@ -8,0 +7,0 @@ * Convert a formatted LangChain prompt (e.g. pulled from the hub) into

dist/utils/prompts.js

@@ -36,4 +36,3 @@ import { convertMessagesToCompletionsMessageParams } from "../converters/completions.js";
 function convertPromptToOpenAI(formattedPrompt) {
-	const messages = formattedPrompt.toChatMessages();
-	return { messages: convertMessagesToCompletionsMessageParams({ messages }) };
+	return { messages: convertMessagesToCompletionsMessageParams({ messages: formattedPrompt.toChatMessages() }) };
 }
@@ -40,0 +39,0 @@

dist/utils/tools.cjs

@@ -1,5 +0,4 @@
-const require_rolldown_runtime = require('../_virtual/rolldown_runtime.cjs');
-const __langchain_core_utils_function_calling = require_rolldown_runtime.__toESM(require("@langchain/core/utils/function_calling"));
-const __langchain_core_utils_types = require_rolldown_runtime.__toESM(require("@langchain/core/utils/types"));
-const __langchain_core_utils_json_schema = require_rolldown_runtime.__toESM(require("@langchain/core/utils/json_schema"));
+let _langchain_core_utils_function_calling = require("@langchain/core/utils/function_calling");
+let _langchain_core_utils_types = require("@langchain/core/utils/types");
+let _langchain_core_utils_json_schema = require("@langchain/core/utils/json_schema");
 
@@ -20,3 +19,3 @@ //#region src/utils/tools.ts
 	let toolDef;
-	if ((0, __langchain_core_utils_function_calling.isLangChainTool)(tool)) toolDef = (0, __langchain_core_utils_function_calling.convertToOpenAITool)(tool);
+	if ((0, _langchain_core_utils_function_calling.isLangChainTool)(tool)) toolDef = (0, _langchain_core_utils_function_calling.convertToOpenAITool)(tool);
 	else toolDef = tool;
@@ -78,3 +77,3 @@ if (fields?.strict !== void 0) toolDef.function.strict = fields.strict;
 function formatToOpenAIToolChoice(toolChoice) {
-	if (!toolChoice) return void 0;
+	if (!toolChoice) return;
 	else if (toolChoice === "any" || toolChoice === "required") return "required";
@@ -110,3 +109,3 @@ else if (toolChoice === "auto") return "auto";
 function parseCustomToolCall(rawToolCall) {
-	if (rawToolCall.type !== "custom_tool_call") return void 0;
+	if (rawToolCall.type !== "custom_tool_call") return;
 	return {
@@ -130,3 +129,3 @@ ...rawToolCall,
 function parseComputerCall(rawToolCall) {
-	if (rawToolCall.type !== "computer_call") return void 0;
+	if (rawToolCall.type !== "computer_call") return;
 	return {
@@ -155,3 +154,3 @@ ...rawToolCall,
 	const getFormat = () => {
-		if (!tool.custom.format) return void 0;
+		if (!tool.custom.format) return;
 		if (tool.custom.format.type === "grammar") return {
@@ -163,3 +162,2 @@ type: "grammar",
 		if (tool.custom.format.type === "text") return { type: "text" };
-		return void 0;
 	};
@@ -175,3 +173,3 @@ return {
 	const getFormat = () => {
-		if (!tool.format) return void 0;
+		if (!tool.format) return;
 		if (tool.format.type === "grammar") return {
@@ -185,3 +183,2 @@ type: "grammar",
 		if (tool.format.type === "text") return { type: "text" };
-		return void 0;
 	};
@@ -188,0 +185,0 @@ return {

dist/utils/tools.d.cts

@@ -6,3 +6,2 @@ import { OpenAI as OpenAI$1 } from "openai";
 //#region src/utils/tools.d.ts
-
 type OpenAIToolChoice = OpenAI$1.ChatCompletionToolChoiceOption | "any" | string;
@@ -9,0 +8,0 @@ type ResponsesToolChoice = NonNullable<OpenAI$1.Responses.ResponseCreateParams["tool_choice"]>;

dist/utils/tools.d.ts

@@ -7,3 +7,2 @@ import { OpenAI as OpenAI$1 } from "openai";
 //#region src/utils/tools.d.ts
-
 type OpenAIToolChoice = OpenAI$1.ChatCompletionToolChoiceOption | "any" | string;
@@ -10,0 +9,0 @@ type ResponsesToolChoice = NonNullable<OpenAI$1.Responses.ResponseCreateParams["tool_choice"]>;

dist/utils/tools.js

@@ -76,3 +76,3 @@ import { convertToOpenAITool, isLangChainTool } from "@langchain/core/utils/function_calling";
 function formatToOpenAIToolChoice(toolChoice) {
-	if (!toolChoice) return void 0;
+	if (!toolChoice) return;
 	else if (toolChoice === "any" || toolChoice === "required") return "required";
@@ -108,3 +108,3 @@ else if (toolChoice === "auto") return "auto";
 function parseCustomToolCall(rawToolCall) {
-	if (rawToolCall.type !== "custom_tool_call") return void 0;
+	if (rawToolCall.type !== "custom_tool_call") return;
 	return {
@@ -128,3 +128,3 @@ ...rawToolCall,
 function parseComputerCall(rawToolCall) {
-	if (rawToolCall.type !== "computer_call") return void 0;
+	if (rawToolCall.type !== "computer_call") return;
 	return {
@@ -153,3 +153,3 @@ ...rawToolCall,
 	const getFormat = () => {
-		if (!tool.custom.format) return void 0;
+		if (!tool.custom.format) return;
 		if (tool.custom.format.type === "grammar") return {
@@ -161,3 +161,2 @@ type: "grammar",
 		if (tool.custom.format.type === "text") return { type: "text" };
-		return void 0;
 	};
@@ -173,3 +172,3 @@ return {
 	const getFormat = () => {
-		if (!tool.format) return void 0;
+		if (!tool.format) return;
 		if (tool.format.type === "grammar") return {
@@ -183,3 +182,2 @@ type: "grammar",
 		if (tool.format.type === "text") return { type: "text" };
-		return void 0;
 	};
@@ -186,0 +184,0 @@ return {

package.json

 {
   "name": "@langchain/openai",
-  "version": "1.2.7",
+  "version": "1.2.8-dev-1771365493298",
   "description": "OpenAI integrations for LangChain.js",
@@ -22,3 +22,3 @@ "author": "LangChain",
   "peerDependencies": {
-    "@langchain/core": "^1.0.0"
+    "@langchain/core": "1.1.25-dev-1771365493298"
   },
@@ -29,3 +29,3 @@ "devDependencies": {
     "@tsconfig/recommended": "^1.0.10",
-    "@types/node": "^24.10.1",
+    "@types/node": "^25.2.3",
     "@vitest/coverage-v8": "^3.2.4",
@@ -41,6 +41,6 @@ "dotenv": "^17.2.1",
     "zod-to-json-schema": "^3.24.6",
-    "@langchain/core": "^1.1.21",
     "@langchain/eslint": "0.1.1",
     "@langchain/standard-tests": "0.0.23",
-    "@langchain/tsconfig": "0.0.1"
+    "@langchain/tsconfig": "0.0.1",
+    "@langchain/core": "^1.1.25-dev-1771365493298"
   },
@@ -47,0 +47,0 @@ "publishConfig": {

dist/_virtual/rolldown_runtime.cjs

-//#region rolldown:runtime
-var __create = Object.create;
-var __defProp = Object.defineProperty;
-var __getOwnPropDesc = Object.getOwnPropertyDescriptor;
-var __getOwnPropNames = Object.getOwnPropertyNames;
-var __getProtoOf = Object.getPrototypeOf;
-var __hasOwnProp = Object.prototype.hasOwnProperty;
-var __copyProps = (to, from, except, desc) => {
-	if (from && typeof from === "object" || typeof from === "function") for (var keys = __getOwnPropNames(from), i = 0, n = keys.length, key; i < n; i++) {
-		key = keys[i];
-		if (!__hasOwnProp.call(to, key) && key !== except) __defProp(to, key, {
-			get: ((k) => from[k]).bind(null, key),
-			enumerable: !(desc = __getOwnPropDesc(from, key)) || desc.enumerable
-		});
-	}
-	return to;
-};
-var __toESM = (mod, isNodeMode, target) => (target = mod != null ? __create(__getProtoOf(mod)) : {}, __copyProps(isNodeMode || !mod || !mod.__esModule ? __defProp(target, "default", {
-	value: mod,
-	enumerable: true
-}) : target, mod));
-
-//#endregion
-
-exports.__toESM = __toESM;

New alerts

Shell access

Supply chain risk

This module accesses the system shell. Accessing the system shell increases the risk of executing arbitrary code.

Found 2 instances in 1 package

Environment variable access

Supply chain risk

Package accesses environment variables, which may be a sign of credential stuffing or data theft.

Found 5 instances in 1 package

Filesystem access

Supply chain risk

Accesses the file system, and could potentially read sensitive data.

Found 1 instance in 1 package

Long strings

Supply chain risk

Contains long string literals, which may be a sign of obfuscated or packed code.

Found 1 instance in 1 package

No v1

Quality

Package is not semver >=1. This means it is not stable and does not support ^ ranges.

Found 1 instance in 1 package

URL strings

Supply chain risk

Package contains fragments of external URLs or IP addresses, which the package may be accessing at runtime.

Found 1 instance in 1 package

Fixed alerts

Shell access

Supply chain risk

This module accesses the system shell. Accessing the system shell increases the risk of executing arbitrary code.

Found 2 instances in 1 package

Environment variable access

Supply chain risk

Package accesses environment variables, which may be a sign of credential stuffing or data theft.

Found 5 instances in 1 package

Filesystem access

Supply chain risk

Accesses the file system, and could potentially read sensitive data.

Found 1 instance in 1 package

Long strings

Supply chain risk

Contains long string literals, which may be a sign of obfuscated or packed code.

Found 1 instance in 1 package

URL strings

Supply chain risk

Package contains fragments of external URLs or IP addresses, which the package may be accessing at runtime.

Found 1 instance in 1 package

Worsened metrics

Total package byte prevSize

1832490

-20%

Number of package files

275

-0.36%

Lines of code

18701

-0.77%

Number of low quality alerts

2

100%

No dependency changes