What can an AI agent do with Gemini?

A Gemini AI agent can generate text, run multi-turn chats, embed content for semantic search, count tokens before a request, list available models, and batch-process multiple prompts in parallel. It can orchestrate Gemini across automated workflows on a schedule or on demand. Write actions like generating or sending content require your approval.

Which Gemini models does the AI agent support?

The agent works with any model available through the Gemini API, including Gemini 2.5 Pro, Gemini 2.0 Flash, and embedding models. You can specify the model in your task instructions or let the agent pick the best fit for the job.

Can I use my own Gemini API key?

Yes. Connect your Google AI Studio API key in the integrations settings. Your key is encrypted at rest and never shared. All requests run against your own quota and billing.

How is this different from calling the Gemini API directly?

Calling the API directly requires writing and maintaining code. With an AI agent, you describe what you want in plain language and it handles model selection, prompt construction, error handling, and result formatting, no code required.

Developer tools

Gemini, run by an agent.

An AI agent that runs, manages, and orchestrates your Google Gemini models.

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What needs your approval

Gemini never changes anything without you.

Anything that creates, edits or deletes in Gemini waits for your approval. Approve a recurring task once and it runs unattended after that.

Connecting Gemini

About 5 minutes

Auth: API key
Setup: About 5 minutes

Where to get access

Get a free API key from Google AI Studio at aistudio.google.com/apikey. The free tier includes generous usage limits across all Gemini models.

ai.google.dev

Example tasks

Real work people hand to an agent that uses Gemini.

generate and publish weekly content drafts from a structured brief using gemini pro
build a semantic search layer by embedding your knowledge base with gemini embeddings
orchestrate a multi-step reasoning pipeline that routes tasks to the right gemini model
monitor api usage and token costs across gemini models and surface anomalies in a report