מעבר אל Google GenAI SDK

pip install -U -q "google-generativeai"

npm install @google/generative-ai

go get github.com/google/generative-ai-go

pip install -U -q "google-genai"

npm install @google/genai

go get google.golang.org/genai

import google.generativeai as genai

# Directly create and use model objects
model = genai.GenerativeModel('gemini-3.6-flash')
response = model.generate_content(...)
chat = model.start_chat(...)

import { GoogleGenerativeAI } from "@google/generative-ai";
import { GoogleAIFileManager, GoogleAICacheManager } from "@google/generative-ai/server"; // For files/caching

const genAI = new GoogleGenerativeAI("GEMINI_API_KEY");
const fileManager = new GoogleAIFileManager("GEMINI_API_KEY");
const cacheManager = new GoogleAICacheManager("GEMINI_API_KEY");

// Get a model instance, then call methods on it
const model = genAI.getGenerativeModel({ model: "gemini-3.6-flash" });
const result = await model.generateContent(...);
const chat = model.startChat(...);

// Call methods on separate client objects for other services
const uploadedFile = await fileManager.uploadFile(...);
const cache = await cacheManager.create(...);

import (
      "github.com/google/generative-ai-go/genai"
      "github.com/google/generative-ai-go/genai/fileman" // For files
      "google.golang.org/api/option"
)

client, err := genai.NewClient(ctx, option.WithAPIKey("GEMINI_API_KEY"))
fileClient, err := fileman.NewClient(ctx, option.WithAPIKey("GEMINI_API_KEY"))

// Get a model instance, then call methods on it
model := client.GenerativeModel("gemini-3.6-flash")
resp, err := model.GenerateContent(...)
cs := model.StartChat()

// Call methods on separate client objects for other services
uploadedFile, err := fileClient.UploadFile(...)

from google import genai

# Create a single client object
client = genai.Client()

# Access API methods through services on the client object
response = client.models.generate_content(...)
chat = client.chats.create(...)
my_file = client.files.upload(...)
tuning_job = client.tunings.tune(...)

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

// Create a single client object
const ai = new GoogleGenAI({apiKey: "GEMINI_API_KEY"});

// Access API methods through services on the client object
const response = await ai.models.generateContent(...);
const chat = ai.chats.create(...);
const uploadedFile = await ai.files.upload(...);
const cache = await ai.caches.create(...);

import "google.golang.org/genai"

// Create a single client object
client, err := genai.NewClient(ctx, nil)

// Access API methods through services on the client object
result, err := client.Models.GenerateContent(...)
chat, err := client.Chats.Create(...)
uploadedFile, err := client.Files.Upload(...)
tuningJob, err := client.Tunings.Tune(...)

import google.generativeai as genai

genai.configure(api_key=...)

import { GoogleGenerativeAI } from "@google/generative-ai";

const genAI = new GoogleGenerativeAI("GEMINI_API_KEY");

import (
      "github.com/google/generative-ai-go/genai"
      "google.golang.org/api/option"
)

client, err := genai.NewClient(ctx, option.WithAPIKey("GEMINI_API_KEY"))

export GEMINI_API_KEY="YOUR_API_KEY"

from google import genai

client = genai.Client() # Set the API key using the GEMINI_API_KEY env var.
                        # Alternatively, you could set the API key explicitly:
                        # client = genai.Client(api_key="YOUR_API_KEY")

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

const ai = new GoogleGenAI({apiKey: "GEMINI_API_KEY"});

import "google.golang.org/genai"

client, err := genai.NewClient(ctx, &genai.ClientConfig{
        Backend:  genai.BackendGeminiAPI,
})

import google.generativeai as genai

model = genai.GenerativeModel('gemini-3.6-flash')
response = model.generate_content(
    'Tell me a story in 300 words'
)
print(response.text)

import { GoogleGenerativeAI } from "@google/generative-ai";

const genAI = new GoogleGenerativeAI(process.env.GEMINI_API_KEY);