langchain-ai · Jan 18, 2025 · Jan 18, 2025 · Jan 18, 2025 · Jan 18, 2025 · Jan 18, 2025
diff --git a/docs/core_docs/docs/how_to/tool_calling_parallel.ipynb b/docs/core_docs/docs/how_to/tool_calling_parallel.ipynb
@@ -56,7 +56,7 @@
         "});\n",
         "\n",
         "const multiplyTool = tool(async ({ a, b }) => {\n",
-        "  return a + b;\n",
+        "  return a * b;\n",
         "}, {\n",
         "  name: \"multiply\",\n",
         "  description: \"Multiplies a and b\",\n",
@@ -220,4 +220,4 @@
   },
   "nbformat": 4,
   "nbformat_minor": 4
-}
+}
diff --git a/docs/core_docs/docs/how_to/tool_results_pass_to_model.ipynb b/docs/core_docs/docs/how_to/tool_results_pass_to_model.ipynb
@@ -18,7 +18,7 @@
         ":::\n",
         "```\n",
         "\n",
-        "Some models are capable of [**tool calling**](/docs/concepts/tool_calling) - generating arguments that conform to a specific user-provided schema. This guide will demonstrate how to use those tool cals to actually call a function and properly pass the results back to the model.\n",
+        "Some models are capable of [**tool calling**](/docs/concepts/tool_calling) - generating arguments that conform to a specific user-provided schema. This guide will demonstrate how to use those tool calls to actually call a function and properly pass the results back to the model.\n",
         "\n",
         "![](../../static/img/tool_invocation.png)\n",
         "\n",
@@ -367,4 +367,4 @@
   },
   "nbformat": 4,
   "nbformat_minor": 4
-}
+}
diff --git a/docs/core_docs/docs/integrations/chat/ibm.ipynb b/docs/core_docs/docs/integrations/chat/ibm.ipynb
@@ -29,7 +29,6 @@
         "| Class | Package | Local | Serializable | [PY support](https://python.langchain.com/docs/integrations/chat/ibm_watsonx/) | Package downloads | Package latest |\n",
         "| :--- | :--- | :---: | :---: |  :---: | :---: | :---: |\n",
         "| [`ChatWatsonx`](https://api.js.langchain.com/classes/_langchain_community.chat_models_ibm.ChatWatsonx.html) | [@langchain/community](https://www.npmjs.com/package/@langchain/community) | ❌ | ✅ | ✅ | ![NPM - Downloads](https://img.shields.io/npm/dm/@langchain/community?style=flat-square&label=%20&) | ![NPM - Version](https://img.shields.io/npm/v/@langchain/community?style=flat-square&label=%20&) |\n",
-
         "\n",
         "### Model features\n",
         "\n",
@@ -61,7 +60,7 @@
         "export WATSONX_AI_BEARER_TOKEN=<YOUR-BEARER-TOKEN>\n",
         "```\n",
         "\n",
-        "#### CP4D authentication\n",
+        "#### IBM watsonx.ai software authentication\n",
         "\n",
         "```bash\n",
         "export WATSONX_AI_AUTH_TYPE=cp4d\n",
@@ -104,7 +103,7 @@
         "const instance = new WatsonxLLM(props);\n",
         "```\n",
         "\n",
-        "### CP4D authentication\n",
+        "### IBM watsonx.ai software authentication\n",
         "\n",
         "```typescript\n",
         "import { WatsonxLLM } from \"@langchain/community/llms/ibm\";\n",

diff --git a/docs/core_docs/docs/integrations/document_compressors/ibm.ipynb b/docs/core_docs/docs/integrations/document_compressors/ibm.ipynb
@@ -53,7 +53,7 @@
     "export WATSONX_AI_BEARER_TOKEN=<YOUR-BEARER-TOKEN>\n",
     "```\n",
     "\n",
-    "#### CP4D authentication\n",
+    "#### IBM watsonx.ai software authentication\n",
     "\n",
     "```bash\n",
     "export WATSONX_AI_AUTH_TYPE=cp4d\n",
@@ -96,7 +96,7 @@
     "const instance = new WatsonxLLM(props);\n",
     "```\n",
     "\n",
-    "### CP4D authentication\n",
+    "### IBM watsonx.ai software authentication\n",
     "\n",
     "```typescript\n",
     "import { WatsonxLLM } from \"@langchain/community/llms/ibm\";\n",

diff --git a/docs/core_docs/docs/integrations/llms/ibm.ipynb b/docs/core_docs/docs/integrations/llms/ibm.ipynb
@@ -56,7 +56,7 @@
         "export WATSONX_AI_BEARER_TOKEN=<YOUR-BEARER-TOKEN>\n",
         "```\n",
         "\n",
-        "#### CP4D authentication\n",
+        "#### IBM watsonx.ai software authentication\n",
         "\n",
         "```bash\n",
         "export WATSONX_AI_AUTH_TYPE=cp4d\n",
@@ -99,7 +99,7 @@
         "const instance = new WatsonxLLM(props);\n",
         "```\n",
         "\n",
-        "### CP4D authentication\n",
+        "### IBM watsonx.ai software authentication\n",
         "\n",
         "```typescript\n",
         "import { WatsonxLLM } from \"@langchain/community/llms/ibm\";\n",

diff --git a/docs/core_docs/docs/integrations/text_embedding/ibm.ipynb b/docs/core_docs/docs/integrations/text_embedding/ibm.ipynb
@@ -55,7 +55,7 @@
         "export WATSONX_AI_BEARER_TOKEN=<YOUR-BEARER-TOKEN>\n",
         "```\n",
         "\n",
-        "#### CP4D authentication\n",
+        "#### IBM watsonx.ai software authentication\n",
         "\n",
         "```bash\n",
         "export WATSONX_AI_AUTH_TYPE=cp4d\n",
@@ -98,7 +98,7 @@
         "const instance = new WatsonxEmbeddings(props);\n",
         "```\n",
         "\n",
-        "### CP4D authentication\n",
+        "### IBM watsonx.ai software authentication\n",
         "\n",
         "```typescript\n",
         "import { WatsonxEmbeddings } from \"@langchain/community/embeddings/ibm\";\n",

diff --git a/docs/core_docs/docs/integrations/tools/google_calendar.mdx b/docs/core_docs/docs/integrations/tools/google_calendar.mdx
@@ -25,7 +25,7 @@ import IntegrationInstallTooltip from "@mdx_components/integration_install_toolt
 <IntegrationInstallTooltip></IntegrationInstallTooltip>
 
 ```bash npm2yarn
-npm install @langchain/openai @langchain/core
+npm install @langchain/openai @langchain/core @langchain/community @langchain/langgraph
 ```
 
 <CodeBlock language="typescript">{ToolExample}</CodeBlock>

diff --git a/docs/core_docs/src/theme/VectorStoreTabs.js b/docs/core_docs/src/theme/VectorStoreTabs.js
@@ -54,7 +54,7 @@ const ${vectorStoreVarName} = new MongoDBAtlasVectorSearch(embeddings, {
     {
       value: "PGVector",
       label: "PGVector",
-      text: `import PGVectorStore from "@langchain/community/vectorstores/pgvector";
+      text: `import { PGVectorStore } from "@langchain/community/vectorstores/pgvector";
 
 const ${vectorStoreVarName} = await PGVectorStore.initialize(embeddings, {})`,
       dependencies: "@langchain/community",

diff --git a/examples/package.json b/examples/package.json
@@ -93,7 +93,7 @@
     "ioredis": "^5.3.2",
     "js-yaml": "^4.1.0",
     "langchain": "workspace:*",
-    "langsmith": "^0.2.8",
+    "langsmith": ">=0.2.8 <0.4.0",
     "mongodb": "^6.3.0",
     "pg": "^8.11.0",
     "pickleparser": "^0.2.1",

diff --git a/examples/src/models/chat/integration_anthropic_pdf.ts b/examples/src/models/chat/integration_anthropic_pdf.ts
@@ -0,0 +1,52 @@
+import { ChatAnthropic } from "@langchain/anthropic";
+
+import * as fs from "fs";
+
+export const run = async () => {
+  const llm = new ChatAnthropic({
+    model: "claude-3-5-sonnet-20240620", // Only claude-3-5-sonnet-20240620 , claude-3-5-sonnet-20241022 as of Jan 2025 support PDF documents as in base64
+  });
+
+  // PDF needs to be in Base64.
+  const getLocalFile = async (path: string) => {
+    const localFile = await fs.readFileSync(path);
+    const base64File = localFile.toString("base64");
+    return base64File;
+  };
+
+  // Or remotely
+  const getRemoteFile = async (url: string) => {
+    const response = await fetch(url);
+    const arrayBuffer = await response.arrayBuffer();
+    const base64File = Buffer.from(arrayBuffer).toString("base64");
+    return base64File;
+  };
+
+  const base64 = await getRemoteFile(
+    "https://www.w3.org/WAI/ER/tests/xhtml/testfiles/resources/pdf/dummy.pdf"
+  );
+
+  const prompt = "Summarise the contents of this PDF";
+
+  const response = await llm.invoke([
+    {
+      role: "user",
+      content: [
+        {
+          type: "text",
+          text: prompt,
+        },
+        {
+          type: "document",
+          source: {
+            media_type: "application/pdf",
+            type: "base64",
+            data: base64,
+          },
+        },
+      ],
+    },
+  ]);
+  console.log(response.content);
+  return response.content;
+};
diff --git a/examples/src/tools/google_calendar.ts b/examples/src/tools/google_calendar.ts
@@ -1,15 +1,16 @@
-import { initializeAgentExecutorWithOptions } from "langchain/agents";
-import { OpenAI } from "@langchain/openai";
+import { createReactAgent } from "@langchain/langgraph/prebuilt";
+import { ChatOpenAI } from "@langchain/openai";
 import { Calculator } from "@langchain/community/tools/calculator";
 import {
   GoogleCalendarCreateTool,
   GoogleCalendarViewTool,
 } from "@langchain/community/tools/google_calendar";
 
 export async function run() {
-  const model = new OpenAI({
+  const model = new ChatOpenAI({
     temperature: 0,
     apiKey: process.env.OPENAI_API_KEY,
+    model: "gpt-4o-mini",
   });
 
   const googleCalendarParams = {
@@ -31,22 +32,26 @@ export async function run() {
     new GoogleCalendarViewTool(googleCalendarParams),
   ];
 
-  const calendarAgent = await initializeAgentExecutorWithOptions(tools, model, {
-    agentType: "zero-shot-react-description",
-    verbose: true,
+  const calendarAgent = createReactAgent({
+    llm: model,
+    tools,
   });
 
   const createInput = `Create a meeting with John Doe next Friday at 4pm - adding to the agenda of it the result of 99 + 99`;
 
-  const createResult = await calendarAgent.invoke({ input: createInput });
+  const createResult = await calendarAgent.invoke({
+    messages: [{ role: "user", content: createInput }],
+  });
   //   Create Result {
   //     output: 'A meeting with John Doe on 29th September at 4pm has been created and the result of 99 + 99 has been added to the agenda.'
   //   }
   console.log("Create Result", createResult);
 
   const viewInput = `What meetings do I have this week?`;
 
-  const viewResult = await calendarAgent.invoke({ input: viewInput });
+  const viewResult = await calendarAgent.invoke({
+    messages: [{ role: "user", content: viewInput }],
+  });
   //   View Result {
   //     output: "You have no meetings this week between 8am and 8pm."
   //   }

diff --git a/langchain-core/package.json b/langchain-core/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@langchain/core",
-  "version": "0.3.30",
+  "version": "0.3.31",
   "description": "Core LangChain.js abstractions and schemas",
   "type": "module",
   "engines": {
@@ -38,7 +38,7 @@
     "camelcase": "6",
     "decamelize": "1.2.0",
     "js-tiktoken": "^1.0.12",
-    "langsmith": "^0.2.8",
+    "langsmith": ">=0.2.8 <0.4.0",
     "mustache": "^4.2.0",
     "p-queue": "^6.6.2",
     "p-retry": "4",

diff --git a/langchain/package.json b/langchain/package.json
@@ -530,7 +530,7 @@
     "js-tiktoken": "^1.0.12",
     "js-yaml": "^4.1.0",
     "jsonpointer": "^5.0.1",
-    "langsmith": "^0.2.8",
+    "langsmith": ">=0.2.8 <0.4.0",
     "openapi-types": "^12.1.3",
     "p-retry": "4",
     "uuid": "^10.0.0",

diff --git a/langchain/src/chains/openai_moderation.ts b/langchain/src/chains/openai_moderation.ts
@@ -27,7 +27,7 @@ export interface OpenAIModerationChainInput
  * OpenAIModerationChainInput interface.
  * @example
  * ```typescript
- * const moderation = new ChatOpenAIModerationChain({ throwError: true });
+ * const moderation = new OpenAIModerationChain({ throwError: true });
  *
  * const badString = "Bad naughty words from user";
  *

diff --git a/libs/langchain-anthropic/package.json b/libs/langchain-anthropic/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@langchain/anthropic",
-  "version": "0.3.11",
+  "version": "0.3.12",
   "description": "Anthropic integrations for LangChain.js",
   "type": "module",
   "engines": {

diff --git a/libs/langchain-anthropic/src/utils/message_inputs.ts b/libs/langchain-anthropic/src/utils/message_inputs.ts
@@ -131,6 +131,13 @@ function _formatContent(content: MessageContent) {
           source,
           ...(cacheControl ? { cache_control: cacheControl } : {}),
         };
+      } else if (contentPart.type === "document") {
+        // PDF
+        return {
+          type: "document",
+          source: contentPart.source,
+          ...(cacheControl ? { cache_control: cacheControl } : {}),
+        };
       } else if (
         textTypes.find((t) => t === contentPart.type) &&
         "text" in contentPart

diff --git a/libs/langchain-azure-cosmosdb/package.json b/libs/langchain-azure-cosmosdb/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@langchain/azure-cosmosdb",
-  "version": "0.2.6",
+  "version": "0.2.7",
   "description": "Azure CosmosDB integration for LangChain.js",
   "type": "module",
   "engines": {