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Genkit MCP

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by firebase
list-models.ts1.84 kB
/** * Copyright 2025 Google LLC * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. */ import type { GoogleAuth } from 'google-auth-library'; import { getGenkitClientHeader } from './common/index.js'; // Gemini model definition export interface Model { name: string; launchStage: string; } // Gemini list models response interface ListModelsResponse { publisherModels: Model[]; } /** * List Gemini models by making an RPC call to the API. */ export async function listModels( authClient: GoogleAuth, location: string, projectId: string ): Promise<Model[]> { const fetch = (await import('node-fetch')).default; const accessToken = await authClient.getAccessToken(); const response = await fetch( `https://${location}-aiplatform.googleapis.com/v1beta1/publishers/google/models`, { method: 'GET', headers: { Authorization: `Bearer ${accessToken}`, 'x-goog-user-project': projectId, 'Content-Type': 'application/json', 'X-Goog-Api-Client': getGenkitClientHeader(), }, } ); if (!response.ok) { const ee = await response.text(); throw new Error( `Error from Vertex AI predict: HTTP ${response.status}: ${ee}` ); } const modelResponse = (await response.json()) as ListModelsResponse; return modelResponse.publisherModels; }

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