Added vertex

README.md

@@ -96,6 +96,7 @@ AnythingLLM divides your documents into objects called `workspaces`. A Workspace
 - [Text Generation Web UI](https://github.com/oobabooga/text-generation-webui)
 - [Apipie](https://apipie.ai/)
 - [xAI](https://x.ai/)
+- [Google Vertex](https://cloud.google.com/vertex-ai)
 
 **Embedder models:**
 

frontend/src/components/LLMSelection/VertexLLMOptions/index.jsx

@@ -0,0 +1,80 @@
+export default function VertexLLMOptions({ settings }) {
+  return (
+    <div className="w-full flex flex-col">
+      <div className="w-full flex items-center gap-[36px] mt-1.5">
+        <div className="flex flex-col w-60">
+          <label className="text-white text-sm font-semibold block mb-3">
+            GCP Project Name
+          </label>
+          <input
+            type="text"
+            name="VertexProjectName"
+            className="bg-zinc-900 text-white placeholder:text-white/20 text-sm rounded-lg focus:outline-primary-button active:outline-primary-button outline-none block w-full p-2.5"
+            placeholder="your-project-name"
+            defaultValue={settings?.VertexProjectName ?? ""}
+            required={true}
+            autoComplete="off"
+            spellCheck={false}
+          />
+        </div>
+        {!settings?.credentialsOnly && (
+          <VertexLLMModelSelection settings={settings} />
+        )}
+      </div>
+    </div>
+  );
+
+  function VertexLLMModelSelection({ settings }) {
+    console.log(settings);
+    return (
+      <>
+        <div className="flex flex-col w-60">
+          <label className="text-white text-sm font-semibold block mb-3">
+            Chat Model Selection
+          </label>
+          <select
+            name="VertexLLMModelPref"
+            defaultValue={settings?.VertexLLMModelPref || "gemini-1.5-flash"}
+            required={true}
+            className="bg-zinc-900 border-gray-500 text-white text-sm rounded-lg block w-full p-2.5"
+          >
+            <optgroup label="Stable Models">
+              {[
+                "gemini-1.5-flash",
+                "gemini-1.5-pro",
+                "gemini-1.5-flash-001",
+                "gemini-1.5-pro-001",
+                "gemini-1.5-flash-002",
+                "gemini-1.5-pro-002",
+              ].map((model) => {
+                return (
+                  <option key={model} value={model}>
+                    {model}
+                  </option>
+                );
+              })}
+            </optgroup>
+          </select>
+        </div>
+        <div className="flex flex-col w-60">
+          <label className="text-white text-sm font-semibold block mb-3">
+            Safety Setting
+          </label>
+          <select
+            name="VertexSafetySetting"
+            defaultValue={
+              settings?.VertexSafetySetting || "BLOCK_MEDIUM_AND_ABOVE"
+            }
+            required={true}
+            className="bg-zinc-900 border-gray-500 text-white text-sm rounded-lg block w-full p-2.5"
+          >
+            <option value="BLOCK_NONE">None</option>
+            <option value="BLOCK_ONLY_HIGH">Block few</option>
+            <option value="BLOCK_MEDIUM_AND_ABOVE">Block some (default)</option>
+            <option value="BLOCK_LOW_AND_ABOVE">Block most</option>
+          </select>
+        </div>
+      </>
+    );
+  }
+}

frontend/src/hooks/useGetProvidersModels.js

@@ -11,6 +11,14 @@ export const DISABLED_PROVIDERS = [
 ];
 const PROVIDER_DEFAULT_MODELS = {
   openai: [],
+  vertex: [
+    "gemini-1.5-flash",
+    "gemini-1.5-pro",
+    "gemini-1.5-flash-001",
+    "gemini-1.5-pro-001",
+    "gemini-1.5-flash-002",
+    "gemini-1.5-pro-002",
+  ],
   gemini: [
     "gemini-pro",
     "gemini-1.0-pro",

frontend/src/pages/GeneralSettings/LLMPreference/index.jsx

@@ -10,6 +10,7 @@ import GenericOpenAiLogo from "@/media/llmprovider/generic-openai.png";
 import AzureOpenAiLogo from "@/media/llmprovider/azure.png";
 import AnthropicLogo from "@/media/llmprovider/anthropic.png";
 import GeminiLogo from "@/media/llmprovider/gemini.png";
+import VertexLogo from "@/media/llmprovider/vertex.png";
 import OllamaLogo from "@/media/llmprovider/ollama.png";
 import LMStudioLogo from "@/media/llmprovider/lmstudio.png";
 import LocalAiLogo from "@/media/llmprovider/localai.png";
@@ -38,6 +39,7 @@ import LMStudioOptions from "@/components/LLMSelection/LMStudioOptions";
 import LocalAiOptions from "@/components/LLMSelection/LocalAiOptions";
 import NativeLLMOptions from "@/components/LLMSelection/NativeLLMOptions";
 import GeminiLLMOptions from "@/components/LLMSelection/GeminiLLMOptions";
+import VertexLLMOptions from "@/components/LLMSelection/VertexLLMOptions";
 import OllamaLLMOptions from "@/components/LLMSelection/OllamaLLMOptions";
 import TogetherAiOptions from "@/components/LLMSelection/TogetherAiOptions";
 import FireworksAiOptions from "@/components/LLMSelection/FireworksAiOptions";
@@ -92,6 +94,14 @@ export const AVAILABLE_LLM_PROVIDERS = [
     description: "Google's largest and most capable AI model",
     requiredConfig: ["GeminiLLMApiKey"],
   },
+  {
+    name: "Vertex",
+    value: "vertex",
+    logo: VertexLogo,
+    options: (settings) => <VertexLLMOptions settings={settings} />,
+    description: "Google's Genereative AI model platform",
+    requiredConfig: ["VertexProjectName"],
+  },
   {
     name: "HuggingFace",
     value: "huggingface",

frontend/src/pages/OnboardingFlow/Steps/DataHandling/index.jsx

@@ -6,6 +6,7 @@ import GenericOpenAiLogo from "@/media/llmprovider/generic-openai.png";
 import AzureOpenAiLogo from "@/media/llmprovider/azure.png";
 import AnthropicLogo from "@/media/llmprovider/anthropic.png";
 import GeminiLogo from "@/media/llmprovider/gemini.png";
+import VertexLogo from "@/media/llmprovider/vertex.png";
 import OllamaLogo from "@/media/llmprovider/ollama.png";
 import TogetherAILogo from "@/media/llmprovider/togetherai.png";
 import FireworksAILogo from "@/media/llmprovider/fireworksai.jpeg";
@@ -75,6 +76,14 @@ export const LLM_SELECTION_PRIVACY = {
     ],
     logo: GeminiLogo,
   },
+  vertex: {
+    name: "Vertex",
+    description: [
+      "Your chats will not be used for training",
+      "Your prompts and document text used in response creation are visible to Google",
+    ],
+    logo: VertexLogo,
+  },
   lmstudio: {
     name: "LMStudio",
     description: [

frontend/src/pages/OnboardingFlow/Steps/LLMPreference/index.jsx

@@ -5,6 +5,7 @@ import GenericOpenAiLogo from "@/media/llmprovider/generic-openai.png";
 import AzureOpenAiLogo from "@/media/llmprovider/azure.png";
 import AnthropicLogo from "@/media/llmprovider/anthropic.png";
 import GeminiLogo from "@/media/llmprovider/gemini.png";
+import VertexLogo from "@/media/llmprovider/vertex.png";
 import OllamaLogo from "@/media/llmprovider/ollama.png";
 import LMStudioLogo from "@/media/llmprovider/lmstudio.png";
 import LocalAiLogo from "@/media/llmprovider/localai.png";
@@ -33,6 +34,7 @@ import LMStudioOptions from "@/components/LLMSelection/LMStudioOptions";
 import LocalAiOptions from "@/components/LLMSelection/LocalAiOptions";
 import NativeLLMOptions from "@/components/LLMSelection/NativeLLMOptions";
 import GeminiLLMOptions from "@/components/LLMSelection/GeminiLLMOptions";
+import VertexLLMOptions from "@/components/LLMSelection/VertexLLMOptions";
 import OllamaLLMOptions from "@/components/LLMSelection/OllamaLLMOptions";
 import MistralOptions from "@/components/LLMSelection/MistralOptions";
 import HuggingFaceOptions from "@/components/LLMSelection/HuggingFaceOptions";
@@ -89,6 +91,13 @@ const LLMS = [
     options: (settings) => <GeminiLLMOptions settings={settings} />,
     description: "Google's largest and most capable AI model",
   },
+  {
+    name: "Vertex",
+    value: "vertex",
+    logo: VertexLogo,
+    options: (settings) => <VertexLLMOptions settings={settings} />,
+    description: "Google's Genereative AI model platform",
+  },
   {
     name: "HuggingFace",
     value: "huggingface",

server/models/systemSettings.js

@@ -430,6 +430,13 @@ const SystemSettings = {
       GeminiSafetySetting:
         process.env.GEMINI_SAFETY_SETTING || "BLOCK_MEDIUM_AND_ABOVE",
 
+      // Vertex
+      VertexLLMModelPref:
+        process.env.VERTEX_LLM_MODEL_PREF || "gemini-1.5-flash",
+      VertexSafetySetting:
+        process.env.VERTEX_SAFETY_SETTING || "BLOCK_MEDIUM_AND_ABOVE",
+      VertexProjectName: process.env.VERTEX_PROJECT_NAME,
+
       // LMStudio Keys
       LMStudioBasePath: process.env.LMSTUDIO_BASE_PATH,
       LMStudioTokenLimit: process.env.LMSTUDIO_MODEL_TOKEN_LIMIT,

server/package.json

@@ -22,6 +22,7 @@
     "@anthropic-ai/sdk": "^0.16.1",
     "@azure/openai": "1.0.0-beta.10",
     "@datastax/astra-db-ts": "^0.1.3",
+    "@google-cloud/vertexai": "^1.9.0",
     "@google/generative-ai": "^0.7.1",
     "@ladjs/graceful": "^3.2.2",
     "@lancedb/lancedb": "0.5.2",
@@ -92,8 +93,8 @@
     "flow-remove-types": "^2.217.1",
     "globals": "^13.21.0",
     "hermes-eslint": "^0.15.0",
-    "nodemon": "^2.0.22",
     "node-html-markdown": "^1.3.0",
+    "nodemon": "^2.0.22",
     "prettier": "^3.0.3"
   }
-}
+}

server/utils/AiProviders/modelMap.js

@@ -30,6 +30,14 @@ const MODEL_MAP = {
     "gemini-1.5-flash-exp-0827": 1_048_576,
     "gemini-1.5-flash-8b-exp-0827": 1_048_576,
   },
+  vertex: {
+    "gemini-1.5-flash": 1_048_576,
+    "gemini-1.5-pro": 2_097_152,
+    "gemini-1.5-flash-001": 1_048_576,
+    "gemini-1.5-pro-001": 2_097_152,
+    "gemini-1.5-flash-002": 1_048_576,
+    "gemini-1.5-pro-002": 2_097_152,
+  },
   groq: {
     "gemma2-9b-it": 8192,
     "gemma-7b-it": 8192,

server/utils/AiProviders/vertex/index.js

@@ -0,0 +1,296 @@
+const { NativeEmbedder } = require("../../EmbeddingEngines/native");
+const {
+  writeResponseChunk,
+  clientAbortedHandler,
+} = require("../../helpers/chat/responses");
+const { MODEL_MAP } = require("../modelMap");
+
+class VertexLLM {
+  constructor(embedder = null, modelPreference = null) {
+    const { VertexAI } = require("@google-cloud/vertexai");
+    const vertexAI = new VertexAI({
+      project: process.env.VERTEX_PROJECT_NAME,
+    });
+    this.model =
+      modelPreference ||
+      process.env.VERTEX_LLM_MODEL_PREF ||
+      "gemini-1.5-flash";
+    this.vertex = vertexAI.getGenerativeModel({
+      model: this.model,
+    });
+    this.limits = {
+      history: this.promptWindowLimit() * 0.15,
+      system: this.promptWindowLimit() * 0.15,
+      user: this.promptWindowLimit() * 0.7,
+    };
+
+    this.embedder = embedder ?? new NativeEmbedder();
+    this.defaultTemp = 0.7;
+    this.safetyThreshold = this.#fetchSafetyThreshold();
+  }
+
+  #appendContext(contextTexts = []) {
+    if (!contextTexts || !contextTexts.length) return "";
+    return (
+      "\nContext:\n" +
+      contextTexts
+        .map((text, i) => {
+          return `[CONTEXT ${i}]:\n${text}\n[END CONTEXT ${i}]\n\n`;
+        })
+        .join("")
+    );
+  }
+
+  // BLOCK_NONE can be a special candidate for some fields
+  // https://cloud.google.com/vertex-ai/generative-ai/docs/multimodal/configure-safety-attributes#how_to_remove_automated_response_blocking_for_select_safety_attributes
+  // so if you are wondering why BLOCK_NONE still failed, the link above will explain why.
+  #fetchSafetyThreshold() {
+    const threshold =
+      process.env.GEMINI_SAFETY_SETTING ?? "BLOCK_MEDIUM_AND_ABOVE";
+    const safetyThresholds = [
+      "BLOCK_NONE",
+      "BLOCK_ONLY_HIGH",
+      "BLOCK_MEDIUM_AND_ABOVE",
+      "BLOCK_LOW_AND_ABOVE",
+    ];
+    return safetyThresholds.includes(threshold)
+      ? threshold
+      : "BLOCK_MEDIUM_AND_ABOVE";
+  }
+
+  #safetySettings() {
+    return [
+      {
+        category: "HARM_CATEGORY_HATE_SPEECH",
+        threshold: this.safetyThreshold,
+      },
+      {
+        category: "HARM_CATEGORY_SEXUALLY_EXPLICIT",
+        threshold: this.safetyThreshold,
+      },
+      { category: "HARM_CATEGORY_HARASSMENT", threshold: this.safetyThreshold },
+      {
+        category: "HARM_CATEGORY_DANGEROUS_CONTENT",
+        threshold: this.safetyThreshold,
+      },
+    ];
+  }
+
+  streamingEnabled() {
+    return "streamGetChatCompletion" in this;
+  }
+
+  static promptWindowLimit(modelName) {
+    return MODEL_MAP.vertex[modelName] ?? 30_720;
+  }
+
+  promptWindowLimit() {
+    return MODEL_MAP.vertex[this.model] ?? 30_720;
+  }
+
+  isValidChatCompletionModel(modelName = "") {
+    const validModels = [
+      "gemini-1.5-flash",
+      "gemini-1.5-pro",
+      "gemini-1.5-flash-001",
+      "gemini-1.5-pro-001",
+      "gemini-1.5-flash-002",
+      "gemini-1.5-pro-002",
+    ];
+    return validModels.includes(modelName);
+  }
+
+  /**
+   * Generates appropriate content array for a message + attachments.
+   * @param {{userPrompt:string, attachments: import("../../helpers").Attachment[]}}
+   * @returns {string|object[]}
+   */
+  #generateContent({ userPrompt, attachments = [] }) {
+    if (!attachments.length) {
+      return userPrompt;
+    }
+
+    const content = [{ text: userPrompt }];
+    for (let attachment of attachments) {
+      content.push({
+        inlineData: {
+          data: attachment.contentString.split("base64,")[1],
+          mimeType: attachment.mime,
+        },
+      });
+    }
+    return content.flat();
+  }
+
+  constructPrompt({
+    systemPrompt = "",
+    contextTexts = [],
+    chatHistory = [],
+    userPrompt = "",
+    attachments = [],
+  }) {
+    const prompt = {
+      role: "system",
+      content: `${systemPrompt}${this.#appendContext(contextTexts)}`,
+    };
+    return [
+      prompt,
+      { role: "assistant", content: "Okay." },
+      ...chatHistory,
+      {
+        role: "USER_PROMPT",
+        content: this.#generateContent({ userPrompt, attachments }),
+      },
+    ];
+  }
+
+  // This will take an OpenAi format message array and only pluck valid roles from it.
+  formatMessages(messages = []) {
+    // Gemini roles are either user || model.
+    // and all "content" is relabeled to "parts"
+    const allMessages = messages
+      .map((message) => {
+        if (message.role === "system")
+          return { role: "user", parts: [{ text: message.content }] };
+        if (message.role === "user")
+          return { role: "user", parts: [{ text: message.content }] };
+        if (message.role === "assistant")
+          return { role: "model", parts: [{ text: message.content }] };
+        return null;
+      })
+      .filter((msg) => !!msg);
+
+    // Specifically, Google cannot have the last sent message be from a user with no assistant reply
+    // otherwise it will crash. So if the last item is from the user, it was not completed so pop it off
+    // the history.
+    if (
+      allMessages.length > 0 &&
+      allMessages[allMessages.length - 1].role === "user"
+    )
+      allMessages.pop();
+
+    // Validate that after every user message, there is a model message
+    // sometimes when using gemini we try to compress messages in order to retain as
+    // much context as possible but this may mess up the order of the messages that the gemini model expects
+    // we do this check to work around the edge case where 2 user prompts may be next to each other, in the message array
+    for (let i = 0; i < allMessages.length; i++) {
+      if (
+        allMessages[i].role === "user" &&
+        i < allMessages.length - 1 &&
+        allMessages[i + 1].role !== "model"
+      ) {
+        allMessages.splice(i + 1, 0, {
+          role: "model",
+          parts: [{ text: "Okay." }],
+        });
+      }
+    }
+
+    return allMessages;
+  }
+
+  async getChatCompletion(messages = [], _opts = {}) {
+    if (!this.isValidChatCompletionModel(this.model))
+      throw new Error(
+        `Gemini chat: ${this.model} is not valid for chat completion!`
+      );
+
+    const prompt = messages.find(
+      (chat) => chat.role === "USER_PROMPT"
+    )?.content;
+    const chatThread = this.vertex.startChat({
+      history: this.formatMessages(messages),
+      safetySettings: this.#safetySettings(),
+    });
+    const result = await chatThread.sendMessage(prompt);
+    const response = result.response;
+    const responseText = response.text();
+
+    if (!responseText) throw new Error("Gemini: No response could be parsed.");
+
+    return responseText;
+  }
+
+  async streamGetChatCompletion(messages = [], _opts = {}) {
+    if (!this.isValidChatCompletionModel(this.model))
+      throw new Error(
+        `Gemini chat: ${this.model} is not valid for chat completion!`
+      );
+
+    const prompt = messages.find(
+      (chat) => chat.role === "USER_PROMPT"
+    )?.content;
+    const chatThread = this.vertex.startChat({
+      history: this.formatMessages(messages),
+      safetySettings: this.#safetySettings(),
+    });
+    const responseStream = await chatThread.sendMessageStream(prompt);
+    if (!responseStream.stream)
+      throw new Error("Could not stream response stream from Gemini.");
+
+    return responseStream.stream;
+  }
+
+  async compressMessages(promptArgs = {}, rawHistory = []) {
+    const { messageArrayCompressor } = require("../../helpers/chat");
+    const messageArray = this.constructPrompt(promptArgs);
+    return await messageArrayCompressor(this, messageArray, rawHistory);
+  }
+
+  async handleStream(response, stream, responseProps) {
+    const { uuid = uuidv4(), sources = [] } = responseProps;
+
+    return new Promise(async (resolve) => {
+      let fullText = "";
+
+      // Establish listener to early-abort a streaming response
+      // in case things go sideways or the user does not like the response.
+      // We preserve the generated text but continue as if chat was completed
+      // to preserve previously generated content.
+      const handleAbort = () => clientAbortedHandler(resolve, fullText);
+      response.on("close", handleAbort);
+
+      for await (const chunk of stream) {
+        try {
+          for (const part of chunk.candidates[0].content.parts) {
+            fullText += part.text;
+            writeResponseChunk(response, {
+              uuid,
+              sources: [],
+              type: "textResponseChunk",
+              textResponse: part.text,
+              close: false,
+              error: false,
+            });
+          }
+        } catch (e) {
+          writeResponseChunk(response, {
+            uuid,
+            sources: [],
+            type: "abort",
+            textResponse: null,
+            close: true,
+            error: e.message,
+          });
+          resolve(e.message);
+          return;
+        }
+      }
+
+      response.removeListener("close", handleAbort);
+      resolve(fullText);
+    });
+  }
+
+  // Simple wrapper for dynamic embedder & normalize interface for all LLM implementations
+  async embedTextInput(textInput) {
+    return await this.embedder.embedTextInput(textInput);
+  }
+  async embedChunks(textChunks = []) {
+    return await this.embedder.embedChunks(textChunks);
+  }
+}
+
+module.exports = {
+  VertexLLM,
+};

server/utils/agents/index.js

@@ -210,6 +210,8 @@ class AgentHandler {
         return process.env.KOBOLD_CPP_MODEL_PREF ?? null;
       case "gemini":
         return process.env.GEMINI_MODEL_PREF ?? "gemini-pro";
+      case "vertex":
+        return process.env.GEMINI_MODEL_PREF ?? "gemini-1.5-pro";
       case "localai":
         return process.env.LOCAL_AI_MODEL_PREF ?? null;
       case "openrouter":

server/utils/helpers/index.js

@@ -108,6 +108,9 @@ function getLLMProvider({ provider = null, model = null } = {}) {
     case "gemini":
       const { GeminiLLM } = require("../AiProviders/gemini");
       return new GeminiLLM(embedder, model);
+    case "vertex":
+      const { VertexLLM } = require("../AiProviders/vertex");
+      return new VertexLLM(embedder, model);
     case "lmstudio":
       const { LMStudioLLM } = require("../AiProviders/lmStudio");
       return new LMStudioLLM(embedder, model);
@@ -240,6 +243,9 @@ function getLLMProviderClass({ provider = null } = {}) {
     case "gemini":
       const { GeminiLLM } = require("../AiProviders/gemini");
       return GeminiLLM;
+    case "vertex":
+      const { VertexLLM } = require("../AiProviders/vertex");
+      return VertexLLM;
     case "lmstudio":
       const { LMStudioLLM } = require("../AiProviders/lmStudio");
       return LMStudioLLM;

server/utils/helpers/updateENV.js

@@ -57,6 +57,19 @@ const KEY_MAPPING = {
     checks: [validGeminiSafetySetting],
   },
 
+  VertexLLMModelPref: {
+    envKey: "VERTEX_LLM_MODEL_PREF",
+    checks: [isNotEmpty, validVertexModel],
+  },
+  VertexProjectName: {
+    envKey: "VERTEX_PROJECT_NAME",
+    checks: [isNotEmpty],
+  },
+  VertexSafetySetting: {
+    envKey: "VERTEX_SAFETY_SETTING",
+    checks: [validGeminiSafetySetting],
+  },
+
   // LMStudio Settings
   LMStudioBasePath: {
     envKey: "LMSTUDIO_BASE_PATH",
@@ -645,6 +658,7 @@ function supportedLLM(input = "") {
     "azure",
     "anthropic",
     "gemini",
+    "vertex",
     "lmstudio",
     "localai",
     "ollama",
@@ -692,6 +706,20 @@ function validGeminiModel(input = "") {
     : `Invalid Model type. Must be one of ${validModels.join(", ")}.`;
 }
 
+function validVertexModel(input = "") {
+  const validModels = [
+    "gemini-1.5-flash",
+    "gemini-1.5-pro",
+    "gemini-1.5-flash-001",
+    "gemini-1.5-pro-001",
+    "gemini-1.5-flash-002",
+    "gemini-1.5-pro-002",
+  ];
+  return validModels.includes(input)
+    ? null
+    : `Invalid Model type. Must be one of ${validModels.join(", ")}.`;
+}
+
 function validGeminiSafetySetting(input = "") {
   const validModes = [
     "BLOCK_NONE",

server/yarn.lock

@@ -874,6 +874,13 @@
   resolved "https://registry.yarnpkg.com/@fastify/busboy/-/busboy-2.1.1.tgz#b9da6a878a371829a0502c9b6c1c143ef6663f4d"
   integrity sha512-vBZP4NlzfOlerQTnba4aqZoMhE/a9HY7HRqoOPaETQcSQuWEIyZMHGfVu6w9wGtGK5fED5qRs2DteVCjOH60sA==
 
+"@google-cloud/vertexai@^1.9.0":
+  version "1.9.0"
+  resolved "https://registry.yarnpkg.com/@google-cloud/vertexai/-/vertexai-1.9.0.tgz#30941faa920e1218231604285c56aa4ae172b358"
+  integrity sha512-8brlcJwFXI4fPuBtsDNQqCdWZmz8gV9jeEKOU0vc5H2SjehCQpXK/NwuSEr916zbhlBHtg/sU37qQQdgvh5BRA==
+  dependencies:
+    google-auth-library "^9.1.0"
+
 "@google/generative-ai@^0.7.1":
   version "0.7.1"
   resolved "https://registry.yarnpkg.com/@google/generative-ai/-/generative-ai-0.7.1.tgz#eb187c75080c0706245699dbc06816c830d8c6a7"
@@ -2588,7 +2595,7 @@ base-64@^0.1.0:
   resolved "https://registry.yarnpkg.com/base-64/-/base-64-0.1.0.tgz#780a99c84e7d600260361511c4877613bf24f6bb"
   integrity sha512-Y5gU45svrR5tI2Vt/X9GPd3L0HNIKzGu202EjxrXMpuc2V2CiKgemAbUUsqYmZJvPtCXoUKjNZwBJzsNScUbXA==
 
-base64-js@^1.3.1, base64-js@^1.5.1:
+base64-js@^1.3.0, base64-js@^1.3.1, base64-js@^1.5.1:
   version "1.5.1"
   resolved "https://registry.yarnpkg.com/base64-js/-/base64-js-1.5.1.tgz#1b1b440160a5bf7ad40b650f095963481903930a"
   integrity sha512-AKpaYlHn8t4SVbOHCy+b5+KKgvR4vrsD8vbvrbiQJps7fKDTkjkDry6ji0rUJjC0kzbNePLwzxq8iypo41qeWA==
@@ -2606,6 +2613,11 @@ before-after-hook@^2.2.0:
   resolved "https://registry.yarnpkg.com/before-after-hook/-/before-after-hook-2.2.3.tgz#c51e809c81a4e354084422b9b26bad88249c517c"
   integrity sha512-NzUnlZexiaH/46WDhANlyR2bXRopNg4F/zuSA3OpZnllCUgRaOF2znDioDWrmbNVsuZk6l9pMquQB38cfBZwkQ==
 
+bignumber.js@^9.0.0:
+  version "9.1.2"
+  resolved "https://registry.yarnpkg.com/bignumber.js/-/bignumber.js-9.1.2.tgz#b7c4242259c008903b13707983b5f4bbd31eda0c"
+  integrity sha512-2/mKyZH9K85bzOEfhXDBFZTGd1CTs+5IHpeFQo9luiBG7hghdC851Pj2WAhb6E3R6b9tZj/XKhbg4fum+Kepug==
+
 binary-extensions@^2.0.0, binary-extensions@^2.2.0:
   version "2.3.0"
   resolved "https://registry.yarnpkg.com/binary-extensions/-/binary-extensions-2.3.0.tgz#f6e14a97858d327252200242d4ccfe522c445522"
@@ -3339,7 +3351,7 @@ eastasianwidth@^0.2.0:
   resolved "https://registry.yarnpkg.com/eastasianwidth/-/eastasianwidth-0.2.0.tgz#696ce2ec0aa0e6ea93a397ffcf24aa7840c827cb"
   integrity sha512-I88TYZWc9XiYHRQ4/3c5rjjfgkjhLyW2luGIheGERbNQ6OY7yTybanSpDXZa8y7VUP9YmDcYa+eyq4ca7iLqWA==
 
-ecdsa-sig-formatter@1.0.11:
+ecdsa-sig-formatter@1.0.11, ecdsa-sig-formatter@^1.0.11:
   version "1.0.11"
   resolved "https://registry.yarnpkg.com/ecdsa-sig-formatter/-/ecdsa-sig-formatter-1.0.11.tgz#ae0f0fa2d85045ef14a817daa3ce9acd0489e5bf"
   integrity sha512-nagl3RYrbNv6kQkeJIpt6NJZy8twLB/2vtz6yN9Z4vRKHN4/QZJIEbqohALSgwKdnksuY3k5Addp5lg8sVoVcQ==
@@ -3784,6 +3796,11 @@ express@^4.18.2:
     utils-merge "1.0.1"
     vary "~1.1.2"
 
+extend@^3.0.2:
+  version "3.0.2"
+  resolved "https://registry.yarnpkg.com/extend/-/extend-3.0.2.tgz#f8b1136b4071fbd8eb140aff858b1019ec2915fa"
+  integrity sha512-fjquC59cD7CyW6urNXK0FBufkZcoiGG80wTuPujX590cB5Ttln20E2UB4S/WARVqhXffZl2LNgS+gQdPIIim/g==
+
 external-editor@^3.1.0:
   version "3.1.0"
   resolved "https://registry.yarnpkg.com/external-editor/-/external-editor-3.1.0.tgz#cb03f740befae03ea4d283caed2741a83f335495"
@@ -4077,6 +4094,25 @@ gauge@^4.0.3:
     strip-ansi "^6.0.1"
     wide-align "^1.1.5"
 
+gaxios@^6.0.0, gaxios@^6.1.1:
+  version "6.7.1"
+  resolved "https://registry.yarnpkg.com/gaxios/-/gaxios-6.7.1.tgz#ebd9f7093ede3ba502685e73390248bb5b7f71fb"
+  integrity sha512-LDODD4TMYx7XXdpwxAVRAIAuB0bzv0s+ywFonY46k126qzQHT9ygyoa9tncmOiQmmDrik65UYsEkv3lbfqQ3yQ==
+  dependencies:
+    extend "^3.0.2"
+    https-proxy-agent "^7.0.1"
+    is-stream "^2.0.0"
+    node-fetch "^2.6.9"
+    uuid "^9.0.1"
+
+gcp-metadata@^6.1.0:
+  version "6.1.0"
+  resolved "https://registry.yarnpkg.com/gcp-metadata/-/gcp-metadata-6.1.0.tgz#9b0dd2b2445258e7597f2024332d20611cbd6b8c"
+  integrity sha512-Jh/AIwwgaxan+7ZUUmRLCjtchyDiqh4KjBJ5tW3plBZb5iL/BPcso8A5DlzeD9qlw0duCamnNdpFjxwaT0KyKg==
+  dependencies:
+    gaxios "^6.0.0"
+    json-bigint "^1.0.0"
+
 generate-function@^2.3.1:
   version "2.3.1"
   resolved "https://registry.yarnpkg.com/generate-function/-/generate-function-2.3.1.tgz#f069617690c10c868e73b8465746764f97c3479f"
@@ -4165,6 +4201,18 @@ globalthis@^1.0.3:
     define-properties "^1.2.1"
     gopd "^1.0.1"
 
+google-auth-library@^9.1.0:
+  version "9.14.2"
+  resolved "https://registry.yarnpkg.com/google-auth-library/-/google-auth-library-9.14.2.tgz#92a53ba32b3a9ff9ced8ed34129edb5a7fa7fb52"
+  integrity sha512-R+FRIfk1GBo3RdlRYWPdwk8nmtVUOn6+BkDomAC46KoU8kzXzE1HLmOasSCbWUByMMAGkknVF0G5kQ69Vj7dlA==
+  dependencies:
+    base64-js "^1.3.0"
+    ecdsa-sig-formatter "^1.0.11"
+    gaxios "^6.1.1"
+    gcp-metadata "^6.1.0"
+    gtoken "^7.0.0"
+    jws "^4.0.0"
+
 gopd@^1.0.1:
   version "1.0.1"
   resolved "https://registry.yarnpkg.com/gopd/-/gopd-1.0.1.tgz#29ff76de69dac7489b7c0918a5788e56477c332c"
@@ -4197,6 +4245,14 @@ graphql@^16.7.1:
   resolved "https://registry.yarnpkg.com/graphql/-/graphql-16.9.0.tgz#1c310e63f16a49ce1fbb230bd0a000e99f6f115f"
   integrity sha512-GGTKBX4SD7Wdb8mqeDLni2oaRGYQWjWHGKPQ24ZMnUtKfcsVoiv4uX8+LJr1K6U5VW2Lu1BwJnj7uiori0YtRw==
 
+gtoken@^7.0.0:
+  version "7.1.0"
+  resolved "https://registry.yarnpkg.com/gtoken/-/gtoken-7.1.0.tgz#d61b4ebd10132222817f7222b1e6064bd463fc26"
+  integrity sha512-pCcEwRi+TKpMlxAQObHDQ56KawURgyAf6jtIY046fJ5tIv3zDe/LEIubckAO8fj6JnAxLdmWkUfNyulQ2iKdEw==
+  dependencies:
+    gaxios "^6.0.0"
+    jws "^4.0.0"
+
 guid-typescript@^1.0.9:
   version "1.0.9"
   resolved "https://registry.yarnpkg.com/guid-typescript/-/guid-typescript-1.0.9.tgz#e35f77003535b0297ea08548f5ace6adb1480ddc"
@@ -4326,6 +4382,14 @@ https-proxy-agent@^7.0.0:
     agent-base "^7.0.2"
     debug "4"
 
+https-proxy-agent@^7.0.1:
+  version "7.0.5"
+  resolved "https://registry.yarnpkg.com/https-proxy-agent/-/https-proxy-agent-7.0.5.tgz#9e8b5013873299e11fab6fd548405da2d6c602b2"
+  integrity sha512-1e4Wqeblerz+tMKPIq2EMGiiWW1dIjZOksyHWSUm1rmuvw/how9hBHZ38lAGj5ID4Ik6EdkOw7NmWPy6LAwalw==
+  dependencies:
+    agent-base "^7.0.2"
+    debug "4"
+
 human-interval@^2.0.1:
   version "2.0.1"
   resolved "https://registry.yarnpkg.com/human-interval/-/human-interval-2.0.1.tgz#655baf606c7067bb26042dcae14ec777b099af15"
@@ -4787,6 +4851,13 @@ jsbi@^4.3.0:
   resolved "https://registry.yarnpkg.com/jsbi/-/jsbi-4.3.0.tgz#b54ee074fb6fcbc00619559305c8f7e912b04741"
   integrity sha512-SnZNcinB4RIcnEyZqFPdGPVgrg2AcnykiBy0sHVJQKHYeaLUvi3Exj+iaPpLnFVkDPZIV4U0yvgC9/R4uEAZ9g==
 
+json-bigint@^1.0.0:
+  version "1.0.0"
+  resolved "https://registry.yarnpkg.com/json-bigint/-/json-bigint-1.0.0.tgz#ae547823ac0cad8398667f8cd9ef4730f5b01ff1"
+  integrity sha512-SiPv/8VpZuWbvLSMtTDU8hEfrZWg/mH/nV/b4o0CYbSxu1UIQPLdwKOCIyLQX+VIPO5vrLX3i8qtqFyhdPSUSQ==
+  dependencies:
+    bignumber.js "^9.0.0"
+
 json-bignum@^0.0.3:
   version "0.0.3"
   resolved "https://registry.yarnpkg.com/json-bignum/-/json-bignum-0.0.3.tgz#41163b50436c773d82424dbc20ed70db7604b8d7"
@@ -5452,7 +5523,7 @@ node-domexception@1.0.0:
   resolved "https://registry.yarnpkg.com/node-domexception/-/node-domexception-1.0.0.tgz#6888db46a1f71c0b76b3f7555016b63fe64766e5"
   integrity sha512-/jKZoMpw0F8GRwl4/eLROPA3cfcXtLApP0QzLmUT/HuPCZWyB7IY9ZrMeKw2O/nFIqPQB3PVM9aYm0F312AXDQ==
 
-node-fetch@2.7.0, node-fetch@^2.6.1, node-fetch@^2.6.12, node-fetch@^2.6.7:
+node-fetch@2.7.0, node-fetch@^2.6.1, node-fetch@^2.6.12, node-fetch@^2.6.7, node-fetch@^2.6.9:
   version "2.7.0"
   resolved "https://registry.yarnpkg.com/node-fetch/-/node-fetch-2.7.0.tgz#d0f0fa6e3e2dc1d27efcd8ad99d550bda94d187d"
   integrity sha512-c4FRfUm/dbcWZ7U+1Wq0AwCyFL+3nt2bEw05wfxSz+DWpWsitgmSgYmy2dQdWyKC1694ELPqMs/YzUSNozLt8A==