Google Vertex AI - Doconda

Credentials come from your Google Cloud environment (gcloud auth application-default login or a service account), like the rest of your code.

With the AI SDK

npm install ai @ai-sdk/google-vertex @doconda/sdk

import { createVertex } from "@ai-sdk/google-vertex"
import { generateText, isStepCount, jsonSchema, tool } from "ai"
import { Doconda } from "@doconda/sdk"

const vertex = createVertex({ project: "my-project", location: "europe-west1" })
const doconda = new Doconda()
const tools = Object.fromEntries(
  doconda.tools().map((t) => [
    t.name,
    tool({ description: t.description, inputSchema: jsonSchema(t.inputSchema), execute: (input) => t.run(input as Record<string, unknown>) }),
  ]),
)

const { text } = await generateText({
  model: vertex("gemini-3.5-flash"),
  tools,
  stopWhen: isStepCount(5),
  prompt: "Create a 5-slide presentation on our quarterly results",
})

With @google/genai

npm install @google/genai @doconda/sdk

The same loop as in Gemini, with vertexai: true:

import { type Content, GoogleGenAI } from "@google/genai"
import { Doconda } from "@doconda/sdk"

const ai = new GoogleGenAI({ vertexai: true, project: "my-project", location: "europe-west1" })
const tools = new Doconda().tools()
const contents: Content[] = [{ role: "user", parts: [{ text: "Make me an Excel file with the event budget" }] }]

while (true) {
  const res = await ai.models.generateContent({
    model: "gemini-3.5-flash",
    contents,
    config: { tools: [{ functionDeclarations: tools.map((t) => ({ name: t.name, description: t.description, parametersJsonSchema: t.inputSchema })) }] },
  })
  if (!res.functionCalls?.length) break
  contents.push(res.candidates![0].content!)
  const parts = await Promise.all(
    res.functionCalls.map(async (call) => ({
      functionResponse: { name: call.name, response: { result: await tools.find((t) => t.name === call.name)!.run(call.args ?? {}) } },
    })),
  )
  contents.push({ role: "user", parts })
}

⌘I