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 ...
Google AI Studio Playground provides a visual interface to prototype and learn how to build managed agents without having to create and write API calls. Managed agents run within a secure, ephemeral ...
# 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 ...
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 ...
Go from prompt to production with Gemini, Omni, Nano Banana, and more ...
Learn about Gemini 3.1 Flash Lite Image from Google ...
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 ...
Our first multimodal embedding model, providing efficient numerical mapping of text, images, video, audio, and PDFs into a single unified embedding space. The Gemini Embedding 2 model is best for ...
LangGraph is a framework for building stateful LLM applications, making it a good choice for constructing ReAct (Reasoning and Acting) Agents. LangGraph offers a prebuilt ReAct agent ...
Credentials are server-managed secrets that let your agents reach third-party services without the secret ever entering the agent's environment. You store a credential once, reference it by ID, and ...
Gemini 3.5 Flash is a deprecated earlier-generation Flash model that provided sustained frontier-level intelligence optimized for real-world tasks at a higher speed and lower cost.
The Gemini API converts speech in audio files into text using the Gemini 3.5 Transcribe model (gemini-3.5-transcribe). Based on Gemini's audio understanding capabilities, it delivers accurate ...
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