41 lines
1.2 KiB
Ruby
41 lines
1.2 KiB
Ruby
# frozen_string_literal: true
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module ::DiscourseAi
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module Inference
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class GeminiEmbeddings
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def self.instance
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new(SiteSetting.ai_gemini_api_key)
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end
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def initialize(api_key, referer = Discourse.base_url)
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@api_key = api_key
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@referer = referer
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end
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attr_reader :api_key, :referer
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def perform!(content)
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headers = { "Referer" => referer, "Content-Type" => "application/json" }
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url =
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"https://generativelanguage.googleapis.com/v1beta/models/embedding-001:embedContent\?key\=#{api_key}"
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body = { content: { parts: [{ text: content }] } }
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conn = Faraday.new { |f| f.adapter FinalDestination::FaradayAdapter }
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response = conn.post(url, body.to_json, headers)
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case response.status
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when 200
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JSON.parse(response.body, symbolize_names: true).dig(:embedding, :values)
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when 429
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# TODO add a AdminDashboard Problem?
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else
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Rails.logger.warn(
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"Google Gemini Embeddings failed with status: #{response.status} body: #{response.body}",
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)
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raise Net::HTTPBadResponse
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end
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end
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end
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end
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end
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