import com.google.genai.Client; import com.google.genai.types.GenerateContentResponse; import com.google.genai.types.HttpOptions; import java.util.concurrent.CompletableFuture; public class TextGenerationAsyncWithText { public static void main(String[] args) { // TODO(developer): Replace these variables before running the sample. String modelId = "gemini-2.5-flash"; generateContent(modelId); } // Generates text asynchronously with text input public static String generateContent(String modelId) { // Initialize client that will be used to send requests.

This method will start two async tasks. One task will be used to send the input stream to the model and the other task will be used to receive the responses from the model. ... The audio bytes received from the model and server response messages. ... client = genai.Client(api_key=API_KEY) config ...

In order to have faster performance, you may install google-genai[aiohttp]. In Gen AI SDK we configure trust_env=True to match with the default behavior of httpx. Additional args of aiohttp.ClientSession.request() (see _RequestOptions args) can be passed through the following way: http_options = types.HttpOptions( async_client_args={'cookies': ..., 'ssl': ...}, ) client=Client(..., http_options=http_options) Both httpx and aiohttp libraries use urllib.request.getproxies from environment variables.

April 28, 2026 - To use the new SDK with asyncio, there is a separate async implementation of every method under client.aio. from google import genai client = genai.Client() response = await client.aio.models.generate_content( model='gemini-3.5-flash', contents='Tell me a story in 300 words.' )

December 16, 2025 - import google.generativeai as genai import asyncio import time from typing import List, Dict, Any, Callable, Union, Awaitable import nest_asyncio import random from datetime import datetime nest_asyncio.apply() # Async functions for operations that would typically be I/O bound async def get_weather(city: str) -> Dict[str, Any]: """Simulate getting weather data""" await asyncio.sleep(1) # Simulate API call weather_conditions = ["Sunny", "Cloudy", "Rainy", "Partly Cloudy"] return { "city": city, "temperature": random.randint(0, 35), "condition": random.choice(weather_conditions), "humidity": ran

2 weeks ago - Set background=True to run long tasks asynchronously. Poll for results with interactions.get(). import time from google import genai client = genai.Client() interaction = client.interactions.create( model="gemini-3.5-flash", input="Write a detailed ...

September 23, 2024 - We call “model.generate_content_async” from inside the async_generate function to get actual asynchronous behaviour

February 26, 2025 - Currently the genai package supports python methods as tools with automatic function calling. However, those methods need to be synchronous. It would be great if the support could be extended to async methods as well. I would be already ...

2 weeks ago - Asynchronous function calling is enabled at the model level, so you can specify what tools you want to use in the request configuration like you would for any standard Gemini API in Gemini Enterprise Agent Platform call.

1 month ago - if __name__ == "__main__": asyncio.run(main()) import { GoogleGenAI, Modality } from '@google/genai'; const ai = new GoogleGenAI({ apiKey: "YOUR_API_KEY"}); const model = 'gemini-3.1-flash-live-preview'; const config = { responseModalities: [Modality.AUDIO] }; async function main() { const session = await ai.live.connect({ model: model, callbacks: { onopen: function () { console.debug('Opened'); }, onmessage: function (message) { console.debug(message); }, onerror: function (e) { console.debug('Error:', e.message); }, onclose: function (e) { console.debug('Close:', e.reason); }, }, config: config, }); console.debug("Session started"); // Send content...

Yes, Gemini GenerativeModel has a native async API implementation - generate_content_async.

1 week ago - import {GoogleGenAI, FunctionCallingConfigMode, FunctionDeclaration, Type} from '@google/genai'; const GEMINI_API_KEY = process.env.GEMINI_API_KEY; async function main() { const controlLightDeclaration: FunctionDeclaration = { name: 'controlLight', parametersJsonSchema: { type: 'object', properties:{ brightness: { type:'number', }, colorTemperature: { type:'string', }, }, required: ['brightness', 'colorTemperature'], }, }; const ai = new GoogleGenAI({apiKey: GEMINI_API_KEY}); const response = await ai.models.generateContent({ model: 'gemini-2.5-flash', contents: 'Dim the lights so the room feels cozy and warm.', config: { toolConfig: { functionCallingConfig: { // Force it to call any function mode: FunctionCallingConfigMode.ANY, allowedFunctionNames: ['controlLight'], } }, tools: [{functionDeclarations: [controlLightDeclaration]}] } }); console.log(response.functionCalls); } main();

November 11, 2024 - gemini_model = genai.GenerativeModel( model_name='gemini-1.5-flash', tools=[ async_function1, async_function2, async_function3 ] ) This fix allows developers to use async functions as tools in the GenerativeModel, enabling integration with ...

Instead, use ConnectAsync(string, LiveConnectConfig, CancellationToken) to create an instance. ... Closes the WebSocket connection gracefully. This method is thread-safe and idempotent. ... Asynchronously disposes the session by closing the WebSocket connection.

3 weeks ago - import asyncio from google import genai from google.genai import types client = genai.Client() model = "gemini-3.1-flash-live-preview" config = { "response_modalities": ["AUDIO"], "output_audio_transcription": {} } async def main(): async with client.aio.live.connect(model=model, config=config) as session: message = "Hello?

August 24, 2025 - Hi Posthog Team, recently you added basic Google GenAI SDK support see #201. Thanks a lot for that! Unfortunately the whole async part of the client seems still unsupported, as the aio part is miss...

November 20, 2025 - Hello. I am using live native-audio Gemini models via the VertexAI on the daily basis. I wish to experiment with tools features: behavior = NON_BLOCKING of tools which can be set in the function declaration scheduling = SILENT / INTERRUP...

November 11, 2024 - Description The current implementation of the GenerativeModel class doesn’t properly handle async functions when passed as tools, resulting in coroutine objects never being awaited and causing runtime errors. Problem When passing async functions as tools to the GenerativeModel, the following ...