| """Shared Gemini API client and argument utilities.""" |
|
|
| import json |
| import logging |
| import os |
| import re |
| from pathlib import Path |
|
|
| logger = logging.getLogger(__name__) |
|
|
| GEMINI_MODEL = "gemini-3.1-pro-preview" |
|
|
|
|
| def add_gemini_args(parser): |
| """Add standard Gemini CLI arguments to an argparse parser.""" |
| parser.add_argument("--api_key_file", type=str, |
| default=None, |
| help="Path to a Gemini API key file. If omitted, GEMINI_API_KEY is used.") |
| parser.add_argument("--vertexai", action="store_true") |
| parser.add_argument("--project", type=str, default="your-gcp-project") |
| parser.add_argument("--location", type=str, default="global") |
|
|
|
|
| def make_client(args): |
| """Create a google.genai.Client from parsed CLI arguments.""" |
| from google import genai |
| if args.vertexai: |
| client = genai.Client(vertexai=True, project=args.project, |
| location=args.location) |
| logger.info("Using Vertex AI (project=%s, location=%s)", |
| args.project, args.location) |
| else: |
| if args.api_key_file: |
| api_key = Path(args.api_key_file).read_text().strip() |
| else: |
| api_key = os.environ.get("GEMINI_API_KEY") |
| if not api_key: |
| raise ValueError("Set GEMINI_API_KEY or pass --api_key_file.") |
| client = genai.Client(api_key=api_key) |
| return client |
|
|
|
|
| def extract_json_array(text): |
| """Extract and parse a JSON array from LLM response text.""" |
| match = re.search(r"\[.*?\]", text, re.DOTALL) |
| if match: |
| try: |
| return json.loads(match.group()) |
| except json.JSONDecodeError: |
| pass |
| return None |
|
|