gemini-api-dev

$29

[!WARNING]

Models like gemini-2.0-*, gemini-1.5-* are legacy and deprecated. Never use them.

Current SDKs (Use These)

• Python: google-genai → pip install google-genai

• JavaScript/TypeScript: @google/genai → npm install @google/genai

• Go: google.golang.org/genai → go get google.golang.org/genai

• Java: com.google.genai:google-genai (see Maven/Gradle setup below)

[!CAUTION]

Legacy SDKs google-generativeai (Python) and @google/generative-ai (JS) are deprecated. Never use them.

Quick Start

Python

from google import genai

client = genai.Client()

response = client.models.generate_content(

    model="gemini-3.5-flash",

    contents="Explain quantum computing"

)

print(response.text)

JavaScript/TypeScript

import { GoogleGenAI } from "@google/genai";

const ai = new GoogleGenAI({});

const response = await ai.models.generateContent({

  model: "gemini-3.5-flash",

  contents: "Explain quantum computing"

});

console.log(response.text);

Go

package main

import (

	"context"

	"fmt"

	"log"

	"google.golang.org/genai"

)

func main() {

	ctx := context.Background()

	client, err := genai.NewClient(ctx, nil)

	if err != nil {

		log.Fatal(err)

	}

	resp, err := client.Models.GenerateContent(ctx, "gemini-3.5-flash", genai.Text("Explain quantum computing"), nil)

	if err != nil {

		log.Fatal(err)

	}

	fmt.Println(resp.Text)

}

Java

import com.google.genai.Client;

import com.google.genai.types.GenerateContentResponse;

public class GenerateTextFromTextInput {

  public static void main(String[] args) {

    Client client = new Client();

    GenerateContentResponse response =

        client.models.generateContent(

            "gemini-3.5-flash",

            "Explain quantum computing",

            null);

    System.out.println(response.text());

  }

}

Java Installation:

• Latest version: https://central.sonatype.com/artifact/com.google.genai/google-genai/versions

• Gradle: implementation("com.google.genai:google-genai:${LAST_VERSION}")

• Maven:

<dependency>

    <groupId>com.google.genai</groupId>

    <artifactId>google-genai</artifactId>

    <version>${LAST_VERSION}</version>

</dependency>

Documentation Lookup

When MCP is Installed (Preferred)

If the **search_docs tool (from the Google MCP server) is available, use it as your only** documentation source:

• Call search_docs with your query

• Read the returned documentation

• Trust MCP results as source of truth for API details — they are always up-to-date.

[!IMPORTANT]

When MCP tools are present, never fetch URLs manually. MCP provides up-to-date, indexed documentation that is more accurate and token-efficient than URL fetching.

When MCP is NOT Installed (Fallback Only)

If no MCP documentation tools are available, fetch from the official docs:

Index URL: https://ai.google.dev/gemini-api/docs/llms.txt

This index contains links to all documentation pages in .md.txt format. Use web fetch tools to:

• Fetch llms.txt to discover available pages

• Fetch specific pages (e.g., https://ai.google.dev/gemini-api/docs/function-calling.md.txt)

Key pages:

• Text generation

• Function calling

• Structured outputs

• Image generation

• Image understanding

• Embeddings

• SDK migration guide

Gemini Live API

For real-time, bidirectional audio/video/text streaming with the Gemini Live API, install the **google-gemini/gemini-live-api-dev** skill. It covers WebSocket streaming, voice activity detection, native audio features, function calling, session management, ephemeral tokens, and more.