diff --git a/langchain-core/src/language_models/base.ts b/langchain-core/src/language_models/base.ts
index 2f3e8ce1c5ee..56dd3b9aa80d 100644
--- a/langchain-core/src/language_models/base.ts
+++ b/langchain-core/src/language_models/base.ts
@@ -82,6 +82,27 @@ export const getModelContextSize = (modelName: string): number => {
   }
 };
 
+/**
+ * Whether or not the input matches the OpenAI tool definition.
+ * @param {unknown} tool The input to check.
+ * @returns {boolean} Whether the input is an OpenAI tool definition.
+ */
+export function isOpenAITool(tool: unknown): tool is ToolDefinition {
+  if (typeof tool !== "object" || !tool) return false;
+  if (
+    "type" in tool &&
+    tool.type === "function" &&
+    "function" in tool &&
+    typeof tool.function === "object" &&
+    tool.function &&
+    "name" in tool.function &&
+    "parameters" in tool.function
+  ) {
+    return true;
+  }
+  return false;
+}
+
 interface CalculateMaxTokenProps {
   prompt: string;
   modelName: TiktokenModel;
diff --git a/langchain-core/src/language_models/chat_models.ts b/langchain-core/src/language_models/chat_models.ts
index d78bb04b2e0e..f3b900427ba0 100644
--- a/langchain-core/src/language_models/chat_models.ts
+++ b/langchain-core/src/language_models/chat_models.ts
@@ -1,3 +1,5 @@
+import { z } from "zod";
+import { zodToJsonSchema } from "zod-to-json-schema";
 import {
   AIMessage,
   type BaseMessage,
@@ -5,6 +7,7 @@ import {
   type BaseMessageLike,
   HumanMessage,
   coerceMessageLikeToMessage,
+  AIMessageChunk,
 } from "../messages/index.js";
 import type { BasePromptValueInterface } from "../prompt_values.js";
 import {
@@ -17,6 +20,8 @@ import {
 } from "../outputs.js";
 import {
   BaseLanguageModel,
+  StructuredOutputMethodOptions,
+  ToolDefinition,
   type BaseLanguageModelCallOptions,
   type BaseLanguageModelInput,
   type BaseLanguageModelParams,
@@ -29,10 +34,16 @@ import {
 import type { RunnableConfig } from "../runnables/config.js";
 import type { BaseCache } from "../caches.js";
 import { StructuredToolInterface } from "../tools.js";
-import { Runnable } from "../runnables/base.js";
+import {
+  Runnable,
+  RunnableLambda,
+  RunnableSequence,
+} from "../runnables/base.js";
 import { isStreamEventsHandler } from "../tracers/event_stream.js";
 import { isLogStreamHandler } from "../tracers/log_stream.js";
 import { concat } from "../utils/stream.js";
+import { RunnablePassthrough } from "../runnables/passthrough.js";
+import { isZodSchema } from "../utils/types/is_zod_schema.js";
 
 /**
  * Represents a serialized chat model.
@@ -143,12 +154,16 @@ export abstract class BaseChatModel<
    * Bind tool-like objects to this chat model.
    *
    * @param tools A list of tool definitions to bind to this chat model.
-   * Can be a structured tool or an object matching the provider's
-   * specific tool schema.
+   * Can be a structured tool, an OpenAI formatted tool, or an object
+   * matching the provider's specific tool schema.
    * @param kwargs Any additional parameters to bind.
    */
   bindTools?(
-    tools: (StructuredToolInterface | Record<string, unknown>)[],
+    tools: (
+      | StructuredToolInterface
+      | Record<string, unknown>
+      | ToolDefinition
+    )[],
     kwargs?: Partial<CallOptions>
   ): Runnable<BaseLanguageModelInput, OutputMessageType, CallOptions>;
 
@@ -714,6 +729,138 @@ export abstract class BaseChatModel<
     }
     return result.content;
   }
+
+  withStructuredOutput<
+    // eslint-disable-next-line @typescript-eslint/no-explicit-any
+    RunOutput extends Record<string, any> = Record<string, any>
+    // eslint-disable-next-line @typescript-eslint/no-explicit-any
+  >(
+    outputSchema:
+      | z.ZodType<RunOutput>
+      // eslint-disable-next-line @typescript-eslint/no-explicit-any
+      | Record<string, any>,
+    config?: StructuredOutputMethodOptions<false>
+  ): Runnable<BaseLanguageModelInput, RunOutput>;
+
+  withStructuredOutput<
+    // eslint-disable-next-line @typescript-eslint/no-explicit-any
+    RunOutput extends Record<string, any> = Record<string, any>
+  >(
+    outputSchema:
+      | z.ZodType<RunOutput>
+      // eslint-disable-next-line @typescript-eslint/no-explicit-any
+      | Record<string, any>,
+    config?: StructuredOutputMethodOptions<true>
+  ): Runnable<BaseLanguageModelInput, { raw: BaseMessage; parsed: RunOutput }>;
+
+  withStructuredOutput<
+    // eslint-disable-next-line @typescript-eslint/no-explicit-any
+    RunOutput extends Record<string, any> = Record<string, any>
+  >(
+    outputSchema:
+      | z.ZodType<RunOutput>
+      // eslint-disable-next-line @typescript-eslint/no-explicit-any
+      | Record<string, any>,
+    config?: StructuredOutputMethodOptions<boolean>
+  ):
+    | Runnable<BaseLanguageModelInput, RunOutput>
+    | Runnable<
+        BaseLanguageModelInput,
+        {
+          raw: BaseMessage;
+          parsed: RunOutput;
+        }
+      > {
+    if (typeof this.bindTools !== "function") {
+      throw new Error(
+        `Chat model must implement ".bindTools()" to use withStructuredOutput.`
+      );
+    }
+    // eslint-disable-next-line @typescript-eslint/no-explicit-any
+    const schema: z.ZodType<RunOutput> | Record<string, any> = outputSchema;
+    const name = config?.name;
+    const description = schema.description ?? "A function available to call.";
+    const method = config?.method;
+    const includeRaw = config?.includeRaw;
+    if (method === "jsonMode") {
+      throw new Error(
+        `Base withStructuredOutput implementation only supports "functionCalling" as a method.`
+      );
+    }
+
+    let functionName = name ?? "extract";
+    let tools: ToolDefinition[];
+    if (isZodSchema(schema)) {
+      tools = [
+        {
+          type: "function",
+          function: {
+            name: functionName,
+            description,
+            parameters: zodToJsonSchema(schema),
+          },
+        },
+      ];
+    } else {
+      if ("name" in schema) {
+        functionName = schema.name;
+      }
+      tools = [
+        {
+          type: "function",
+          function: {
+            name: functionName,
+            description,
+            parameters: schema,
+          },
+        },
+      ];
+    }
+
+    const llm = this.bindTools(tools);
+    const outputParser = RunnableLambda.from<AIMessageChunk, RunOutput>(
+      (input: AIMessageChunk): RunOutput => {
+        if (!input.tool_calls || input.tool_calls.length === 0) {
+          throw new Error("No tool calls found in the response.");
+        }
+        const toolCall = input.tool_calls.find(
+          (tc) => tc.name === functionName
+        );
+        if (!toolCall) {
+          throw new Error(`No tool call found with name ${functionName}.`);
+        }
+        return toolCall.args as RunOutput;
+      }
+    );
+
+    if (!includeRaw) {
+      return llm.pipe(outputParser).withConfig({
+        runName: "StructuredOutput",
+      }) as Runnable<BaseLanguageModelInput, RunOutput>;
+    }
+
+    const parserAssign = RunnablePassthrough.assign({
+      // eslint-disable-next-line @typescript-eslint/no-explicit-any
+      parsed: (input: any, config) => outputParser.invoke(input.raw, config),
+    });
+    const parserNone = RunnablePassthrough.assign({
+      parsed: () => null,
+    });
+    const parsedWithFallback = parserAssign.withFallbacks({
+      fallbacks: [parserNone],
+    });
+    return RunnableSequence.from<
+      BaseLanguageModelInput,
+      { raw: BaseMessage; parsed: RunOutput }
+    >([
+      {
+        raw: llm,
+      },
+      parsedWithFallback,
+    ]).withConfig({
+      runName: "StructuredOutputRunnable",
+    });
+  }
 }
 
 /**