使用 OAuth 进行身份验证的快速入门

gcloud auth application-default login \
    --client-id-file=client_secret.json \
    --scopes='https://www.googleapis.com/auth/cloud-platform,https://www.googleapis.com/auth/generative-language.retriever'

access_token=$(gcloud auth application-default print-access-token)
project_id=<MY PROJECT ID>
curl -X GET https://generativelanguage.googleapis.com/v1/models \
    -H 'Content-Type: application/json' \
    -H "Authorization: Bearer ${access_token}" \
    -H "x-goog-user-project: ${project_id}" | grep '"name"'

pip install google-generativeai

import google.generativeai as genai

print('Available base models:', [m.name for m in genai.list_models()])

pip install --upgrade -q google-api-python-client google-auth-httplib2 google-auth-oauthlib
pip install google-generativeai

import os.path

from google.auth.transport.requests import Request
from google.oauth2.credentials import Credentials
from google_auth_oauthlib.flow import InstalledAppFlow

SCOPES = ['https://www.googleapis.com/auth/generative-language.retriever']

def load_creds():
    """Converts `client_secret.json` to a credential object.

    This function caches the generated tokens to minimize the use of the
    consent screen.
    """
    creds = None
    # The file token.json stores the user's access and refresh tokens, and is
    # created automatically when the authorization flow completes for the first
    # time.
    if os.path.exists('token.json'):
        creds = Credentials.from_authorized_user_file('token.json', SCOPES)
    # If there are no (valid) credentials available, let the user log in.
    if not creds or not creds.valid:
        if creds and creds.expired and creds.refresh_token:
            creds.refresh(Request())
        else:
            flow = InstalledAppFlow.from_client_secrets_file(
                'client_secret.json', SCOPES)
            creds = flow.run_local_server(port=0)
        # Save the credentials for the next run
        with open('token.json', 'w') as token:
            token.write(creds.to_json())
    return creds

import pprint
import google.generativeai as genai
from load_creds import load_creds

creds = load_creds()

genai.configure(credentials=creds)

print()
print('Available base models:', [m.name for m in genai.list_models()])

python script.py