Grounding With Google GenAI

Use the bundled scripts/google_genai_grounding.py by absolute path. Default to gemini-3.5-flash; pass --model only when the user requests another compatible model. The script sends stateless requests with store=false and emits JSON containing the answer, citations, bounded tool evidence, and usage.

Select Grounding

• Use search for current or open-web facts that benefit from Google Search citations.
• Use maps for places, local recommendations, addresses, reviews, or proximity. Supply both coordinates when the user's relevant location is known; omit both otherwise. Google Maps grounding currently requires English prompts and responses, so query in English and translate the cited answer afterward when needed.
• Use url to read or compare one to 20 specific public http:// or https:// pages. Prefer direct content URLs. Do not use it for localhost, private networks, login-only or paywalled pages, Google Workspace files, YouTube, or audio/video URLs.

Run One Request

Resolve SKILL_DIR to this skill directory and require GEMINI_API_KEY in the process environment or a discoverable .env file. The script loads .env with python-dotenv without overriding an existing environment value. Never print, log, place in arguments, or write the key to repository files.

Run Google Search grounding: