@bytebitlabs/nest-google-genai
v1.0.0-0
Published
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nest-google-genai
Description
Google Generative AI module for Nest based on the official @google/generative-ai package.
Installation
$ npm i --save @bytebitlabs/nest-google-genai @google/generative-ai
Usage
Import GoogleGenAiModule
:
@Module({
imports: [GoogleGenAiModule.register({
apiKey: 'Abc...',
})],
providers: [...],
})
export class AiModule {}
Inject GoogleGenAiService
:
@Injectable()
export class AiService {
constructor(private readonly googleGenAiService: GoogleGenAiService) {}
}
Async options
Quite often you might want to asynchronously pass your module options instead of passing them beforehand. In such case, use registerAsync()
method, that provides a couple of various ways to deal with async data.
1. Use factory
GoogleGenAiModule.registerAsync({
useFactory: () => ({
apiKey: 'Abc...'
})
});
Obviously, our factory behaves like every other one (might be async
and is able to inject dependencies through inject
).
GoogleGenAiModule.registerAsync({
imports: [ConfigModule],
useFactory: async (configService: ConfigService) => ({
apiKey: configService.get('GOOGLE_GEN_AI_API_KEY'),
}),
inject: [ConfigService],
}),
2. Use class
GoogleGenAiModule.registerAsync({
useClass: GoogleGenAiConfigService
});
Above construction will instantiate GoogleGenAiConfigService
inside GoogleGenAiModule
and will leverage it to create options object.
class GoogleGenAiConfigService implements OpenaiOptionsFactory {
createOpenaiOptions(): GoogleGenAiModuleOptions {
return {
apiKey: 'Abc...'
};
}
}
3. Use existing
GoogleGenAiModule.registerAsync({
imports: [ConfigModule],
useExisting: ConfigService,
}),
It works the same as useClass
with one critical difference - GoogleGenAiModule
will lookup imported modules to reuse already created ConfigService
, instead of instantiating it on its own.
API Spec
The GoogleGenAiService
wraps the GoogleGenerativeAI
from the official @google/generative-ai
methods. The GoogleGenAiModule.register()
takes options
object as an argument, read more.