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43 lines
1.3 KiB
TypeScript
43 lines
1.3 KiB
TypeScript
import { GoogleGenAI } from '@google/genai'
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import { createLogger } from '@sim/logger'
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import type { StreamingExecution } from '@/executor/types'
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import { executeGeminiRequest } from '@/providers/gemini/core'
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import { getProviderDefaultModel, getProviderModels } from '@/providers/models'
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import type { ProviderConfig, ProviderRequest, ProviderResponse } from '@/providers/types'
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const logger = createLogger('GoogleProvider')
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/**
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* Google Gemini provider
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*
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* Uses the @google/genai SDK with API key authentication.
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* Shares core execution logic with Vertex AI provider.
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*/
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export const googleProvider: ProviderConfig = {
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id: 'google',
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name: 'Google',
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description: "Google's Gemini models",
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version: '1.0.0',
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models: getProviderModels('google'),
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defaultModel: getProviderDefaultModel('google'),
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executeRequest: async (
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request: ProviderRequest
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): Promise<ProviderResponse | StreamingExecution> => {
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if (!request.apiKey) {
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throw new Error('API key is required for Google Gemini')
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}
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logger.info('Creating Google Gemini client', { model: request.model })
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const ai = new GoogleGenAI({ apiKey: request.apiKey })
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return executeGeminiRequest({
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ai,
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model: request.model,
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request,
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providerType: 'google',
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})
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},
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}
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