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+ "source": [
+ "---\n",
+ "sidebar_label: Google Vertex AI\n",
+ "---"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "9597802c",
+ "metadata": {},
+ "source": [
+ "# Google Vertex AI\n",
+ "\n",
+ "```{=mdx}\n",
+ "\n",
+ ":::caution\n",
+ "You are currently on a page documenting the use of Google Vertex models as [text completion models](/docs/concepts/#llms). Many popular models available on Google Vertex are [chat completion models](/docs/concepts/#chat-models).\n",
+ "\n",
+ "You may be looking for [this page instead](/docs/integrations/chat/google_vertex_ai/).\n",
+ ":::\n",
+ "\n",
+ "```\n",
+ "\n",
+ "LangChain.js supports two different authentication methods based on whether\n",
+ "you're running in a Node.js environment or a web environment.\n",
+ "\n",
+ "This will help you get started with VertexAI completion models (LLMs) using LangChain. For detailed documentation on `VertexAI` features and configuration options, please refer to the [API reference](https://api.js.langchain.com/classes/langchain_google_vertexai.VertexAI.html).\n",
+ "\n",
+ "## Overview\n",
+ "### Integration details\n",
+ "\n",
+ "| Class | Package | Local | Serializable | [PY support](https://python.langchain.com/docs/integrations/llms/google_vertex_ai_palm) | Package downloads | Package latest |\n",
+ "| :--- | :--- | :---: | :---: | :---: | :---: | :---: |\n",
+ "| [VertexAI](https://api.js.langchain.com/classes/langchain_google_vertexai.VertexAI.html) | [@langchain/google-vertexai](https://api.js.langchain.com/modules/langchain_google_vertexai.html) | ❌ | ✅ | ✅ | ![NPM - Downloads](https://img.shields.io/npm/dm/@langchain/google-vertexai?style=flat-square&label=%20&) | ![NPM - Version](https://img.shields.io/npm/v/@langchain/google-vertexai?style=flat-square&label=%20&) |\n",
+ "\n",
+ "## Setup\n",
+ "\n",
+ "To access VertexAI models you'll need to create a Google Cloud Platform (GCP) account, get an API key, and install the `@langchain/google-vertexai` integration package.\n",
+ "\n",
+ "### Credentials\n",
+ "\n",
+ "#### Node.js\n",
+ "\n",
+ "You should make sure the Vertex AI API is\n",
+ "enabled for the relevant project and that you've authenticated to\n",
+ "Google Cloud using one of these methods:\n",
+ "\n",
+ "- You are logged into an account (using `gcloud auth application-default login`)\n",
+ " permitted to that project.\n",
+ "- You are running on a machine using a service account that is permitted\n",
+ " to the project.\n",
+ "- You have downloaded the credentials for a service account that is permitted\n",
+ " to the project and set the `GOOGLE_APPLICATION_CREDENTIALS` environment\n",
+ " variable to the path of this file.\n",
+ " **or**\n",
+ "- You set the `GOOGLE_API_KEY` environment variable to the API key for the project.\n",
+ "\n",
+ "#### Web\n",
+ "\n",
+ "To call Vertex AI models in web environments (like Edge functions), you'll need to install\n",
+ "the `@langchain/google-vertexai-web` package.\n",
+ "\n",
+ "Then, you'll need to add your service account credentials directly as a `GOOGLE_VERTEX_AI_WEB_CREDENTIALS` environment variable:\n",
+ "\n",
+ "```\n",
+ "GOOGLE_VERTEX_AI_WEB_CREDENTIALS={\"type\":\"service_account\",\"project_id\":\"YOUR_PROJECT-12345\",...}\n",
+ "```\n",
+ "\n",
+ "You can also pass your credentials directly in code like this:\n",
+ "\n",
+ "```typescript\n",
+ "import { VertexAI } from \"@langchain/google-vertexai\";\n",
+ "// Or uncomment this line if you're using the web version:\n",
+ "// import { VertexAI } from \"@langchain/google-vertexai-web\";\n",
+ "\n",
+ "const model = new VertexAI({\n",
+ " authOptions: {\n",
+ " credentials: {\"type\":\"service_account\",\"project_id\":\"YOUR_PROJECT-12345\",...},\n",
+ " },\n",
+ "});\n",
+ "```\n",
+ "\n",
+ "If you want to get automated tracing of your model calls you can also set your [LangSmith](https://docs.smith.langchain.com/) API key by uncommenting below:\n",
+ "\n",
+ "```bash\n",
+ "# export LANGCHAIN_TRACING_V2=\"true\"\n",
+ "# export LANGCHAIN_API_KEY=\"your-api-key\"\n",
+ "```\n",
+ "\n",
+ "### Installation\n",
+ "\n",
+ "The LangChain VertexAI integration lives in the `@langchain/google-vertexai` package:\n",
+ "\n",
+ "```{=mdx}\n",
+ "import IntegrationInstallTooltip from \"@mdx_components/integration_install_tooltip.mdx\";\n",
+ "import Npm2Yarn from \"@theme/Npm2Yarn\";\n",
+ "\n",
+ "\n",
+ "\n",
+ "\n",
+ " @langchain/google-vertexai\n",
+ "\n",
+ "\n",
+ "or for web environments:\n",
+ "\n",
+ "\n",
+ " @langchain/google-vertexai-web\n",
+ "\n",
+ "\n",
+ "```"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "0a760037",
+ "metadata": {},
+ "source": [
+ "## Instantiation\n",
+ "\n",
+ "Now we can instantiate our model object and generate chat completions:"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 2,
+ "id": "a0562a13",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "import { VertexAI } from \"@langchain/google-vertexai-web\"\n",
+ "\n",
+ "const llm = new VertexAI({\n",
+ " model: \"gemini-pro\",\n",
+ " temperature: 0,\n",
+ " maxRetries: 2,\n",
+ " // other params...\n",
+ "})"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "0ee90032",
+ "metadata": {},
+ "source": [
+ "## Invocation"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "035dea0f",
+ "metadata": {
+ "tags": []
+ },
+ "outputs": [],
+ "source": [
+ "const inputText = \"VertexAI is an AI company that \"\n",
+ "\n",
+ "const completion = await llm.invoke(inputText)\n",
+ "completion"
+ ]
+ },
+ {
+ "cell_type": "raw",
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+ "metadata": {
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+ },
+ "source": [
+ "offers a wide range of cloud computing services and artificial intelligence solutions to businesses and developers worldwide."
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "add38532",
+ "metadata": {},
+ "source": [
+ "## Chaining\n",
+ "\n",
+ "We can [chain](/docs/how_to/sequence/) our completion model with a prompt template like so:"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "078e9db2",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "import { PromptTemplate } from \"@langchain/core/prompts\"\n",
+ "\n",
+ "const prompt = PromptTemplate.fromTemplate(\"How to say {input} in {output_language}:\\n\")\n",
+ "\n",
+ "const chain = prompt.pipe(llm);\n",
+ "await chain.invoke(\n",
+ " {\n",
+ " output_language: \"German\",\n",
+ " input: \"I love programming.\",\n",
+ " }\n",
+ ")"
+ ]
+ },
+ {
+ "cell_type": "raw",
+ "id": "4d106b41",
+ "metadata": {
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+ }
+ },
+ "source": [
+ "\"Ich liebe Programmieren.\"\n",
+ "Pronunciation guide:\n",
+ "\n",
+ "Ich: [ɪç] (similar to \"ikh\" with a soft \"ch\" sound)\n",
+ "liebe: [ˈliːbə] (LEE-buh)\n",
+ "Programmieren: [pʁoɡʁaˈmiːʁən] (pro-gra-MEE-ren)\n",
+ "\n",
+ "You could also say:\n",
+ "\"Ich liebe es zu programmieren.\"\n",
+ "Which translates more literally to \"I love to program.\" This version is a bit more formal or precise.\n",
+ "Pronunciation:\n",
+ "\n",
+ "es: [ɛs] (like the letter \"S\")\n",
+ "zu: [tsuː] (tsoo)\n",
+ "\n",
+ "Both versions are correct and commonly used."
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "e9bdfcef",
+ "metadata": {},
+ "source": [
+ "## API reference\n",
+ "\n",
+ "For detailed documentation of all VertexAI features and configurations head to the API reference: https://api.js.langchain.com/classes/langchain_google_vertexai.VertexAI.html"
+ ]
+ }
+ ],
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