37 lines
1.1 KiB
Ruby
37 lines
1.1 KiB
Ruby
# frozen_string_literal: true
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module ::DiscourseAi
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module Inference
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class CloudflareWorkersAi
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def self.perform!(model, content)
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headers = { "Referer" => Discourse.base_url, "Content-Type" => "application/json" }
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account_id = SiteSetting.ai_cloudflare_workers_account_id
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token = SiteSetting.ai_cloudflare_workers_api_token
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base_url = "https://api.cloudflare.com/client/v4/accounts/#{account_id}/ai/run/@cf/"
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headers["Authorization"] = "Bearer #{token}"
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endpoint = "#{base_url}#{model}"
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conn = Faraday.new { |f| f.adapter FinalDestination::FaradayAdapter }
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response = conn.post(endpoint, content.to_json, headers)
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raise Net::HTTPBadResponse if ![200].include?(response.status)
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case response.status
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when 200
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JSON.parse(response.body, symbolize_names: true)
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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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"Cloudflare Workers AI 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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