@restackio/integrations-google-gemini
v0.0.2
Published
This package provides an integration for Google's Gemini AI API, specifically tailored for use with the Restack AI framework.
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@restackio/integrations-google-gemini
This package provides an integration for Google's Gemini AI API, specifically tailored for use with the Restack AI framework.
Installation
To install the package, use npm or yarn:
npm install @restackio/integrations-google-gemini
Features
- Gemini Text Generation (base and streaming)
- Rate limiting support (2000 RPM default)
- Simple prompt handling
- Event streaming
- Temperature and other parameter controls
Usage
Basic Setup
// services.ts
import Restack from "@restackio/ai";
import { geminiService } from "@restackio/integrations-google-gemini";
export async function services() {
const client = new Restack();
geminiService({ client, options: { rateLimit: 2000 } }).catch((err) => {
console.error("Error starting Gemini service:", err);
});
}
services().catch((err) => {
console.error("Error running services:", err);
});
Text Generation
For basic text generation:
// geminiGenerateContent.ts
import { log, step } from "@restackio/ai/workflow";
import * as geminiFunctions from "@restackio/integrations-google-gemini/functions";
import { geminiTaskQueue } from "@restackio/integrations-google-gemini/taskQueue";
export async function geminiGenerateContentWorkflow() {
const response = await step<typeof geminiFunctions>({
taskQueue: geminiTaskQueue,
}).geminiGenerateContent({
userContent: "Hello, how are you?",
model: "gemini-pro",
apiKey: "your-api-key-here",
params: {
temperature: 0.9,
topP: 1,
topK: 1,
candidateCount: 1,
},
});
}
For streaming text generation:
// streamingGeneration.ts
import { log, step } from "@restackio/ai/workflow";
import * as geminiFunctions from "@restackio/integrations-google-gemini/functions";
import { geminiTaskQueue } from "@restackio/integrations-google-gemini/taskQueue";
export async function streamingGenerationWorkflow() {
const response = await step<typeof geminiFunctions>({
taskQueue: geminiTaskQueue,
}).geminiGenerateContentStream({
userContent: "Tell me a story",
model: "gemini-pro",
systemContent: "You are a creative storyteller",
params: {
temperature: 0.9,
maxOutputTokens: 1000,
},
apiKey: "your-api-key-here",
});
}
Configuration
The package uses environment variables for configuration. Make sure to set:
- `GEMINI_API_KEY`: Your Google API key for Gemini