# Install with Go go install github.com/google-gemini/gemini-api-cli/cmd/gemini-api@latest For Windows (PowerShell), run iwr -useb https://raw.githubusercontent.com ...

Gemini 4 Argon is our newest frontier model, built to take your most complex tasks from start to finish and turn ambitious ideas into real projects you can use. With major improvements in visual ...

Environments are managed Linux sandboxes that give agents an isolated place to execute code and persist files. They are decoupled from interaction context, so you can reuse the same environment across ...

Gemini models are trained to think through complex problems, leading to significantly improved reasoning. The Gemini API comes with thinking parameters which give fine grain control over how much the ...

AI coding agents rely on training data that cuts off at a set date. Because of this, agents often suggest deprecated models (gemini-1.5), older SDKs (google-generativeai), or outdated code patterns.

Google's Trust and Safety Team employs a combination of automated and manual processes to detect potential misuse of the Gemini API and Google AI Studio in order to enforce our policies. Automated ...

Prompt design is the process of creating prompts, or natural language requests, that elicit accurate, high quality responses from a language model. This page introduces basic concepts, strategies, and ...

Today, we are rolling out Gemini 4 Argon globally to developers and enterprises. You can start building using the paid tier of the Gemini API in Google AI Studio, and for Google AI Ultra subscribers ...

This page provides a reference for all Interactions API error codes, describes the error response format, and explains how the API delivers errors for different ...