January 29, 2026 - Generative Language API client for Node.js. Latest version: 3.7.1, last published: a month ago. Start using @google-ai/generativelanguage in your project by running `npm i @google-ai/generativelanguage`. There are 36 other projects in the npm registry using @google-ai/generativelanguage.

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Package generativelanguage is an auto-generated package for the Generative Language API. The Gemini API allows developers to build generative AI applications using Gemini models. Gemini is our most capable model, built from the ground up to ...

May 8, 2026 - Package generativelanguage is an auto-generated package for the Generative Language API. The PaLM API allows developers to build generative AI applications using the PaLM model. Large Language Models (LLMs) are a powerful, versatile type of ...

Package generativelanguage is an auto-generated package for the Generative Language API. The Gemini API allows developers to build generative AI applications using Gemini models. Gemini is our most capable model, built from the ground up to ...

This package includes clients for multiple versions of Generative Language. By default, you will get version generativelanguage_v1beta. Services for Google Ai Generativelanguage v1beta API

option go_package = "cloud.google.com/go/ai/generativelanguage/apiv1beta/generativelanguagepb;generativelanguagepb";

# See the License for the specific language governing permissions and # limitations under the License. # from __future__ import annotations from typing import MutableMapping, MutableSequence import proto # type: ignore __protobuf__ = proto.module( package="google.ai.generativelanguage.v1", manifest={ "Model", }, )

Package generativelanguage is an auto-generated package for the Generative Language API. The Gemini API allows developers to build generative AI applications using Gemini models. Gemini is our most capable model, built from the ground up to be multimodal. It can generalize and seamlessly ...

$protobuf.rpc.Service > protos.google.ai.generativelanguage.v1beta.GenerativeService · @google-ai/generativelanguage · constructor(rpcImpl: $protobuf.RPCImpl, requestDelimited?: boolean, responseDelimited?: boolean); Constructs a new GenerativeService service.

1 week ago - import { GoogleGenAI } from "@google/genai"; const ai = new GoogleGenAI({}); const interaction = await ai.interactions.create({ model: "gemini-3.5-flash", input: "Explain how AI works in a few words", }); console.log(interaction.output_text); curl -X POST "https://generativelanguage.googleapis.com/v1beta/interactions" \ -H "x-goog-api-key: $GEMINI_API_KEY" \ -H 'Content-Type: application/json' \ -d '{ "model": "gemini-3.5-flash", "input": "Explain how AI works in a few words" }'

Install google-ai-generativelanguage with Anaconda.org. Google Ai Generativelanguage API client library

$protobuf.rpc.Service > protos.google.ai.generativelanguage.v1beta.GenerativeService · @google-ai/generativelanguage · constructor(rpcImpl: $protobuf.RPCImpl, requestDelimited?: boolean, responseDelimited?: boolean); Constructs a new GenerativeService service.

class google.ai.generativelanguage_v1alpha.types.ChunkData(mapping=None, *, ignore_unknown_fields=False, **kwargs)[source]¶ ... Extracted data that represents the Chunk content. ... The Chunk content as a string. The maximum number of tokens per chunk is 2043. This field is a member of oneof data. ... class google.ai.generativelanguage_v1alpha.types.CitationMetadata(mapping=None, *, ignore_unknown_fields=False, **kwargs)[source]¶

1 week ago - Create, discover, summarize and automate with Google Cloud's generative AI products and services.

The piwheels project page for google-ai-generativelanguage: Google Ai Generativelanguage API client library

@google-ai/generativelanguage · constructor(properties?: google.ai.generativelanguage.v1beta3.IEmbedding); Constructs a new Embedding. public value: number[]; Embedding value. public static create(properties?: google.ai.generativelanguage.v1beta3.IEmbedding): google.ai.generativelanguage.v1beta3.Embedding; Creates a new Embedding instance using the specified properties.

Public interface definitions of Google APIs. Contribute to googleapis/googleapis development by creating an account on GitHub.