mirror of
https://github.com/discourse/discourse-ai.git
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f5cf1019fb
* Use AR model for embeddings features * endpoints * Embeddings CRUD UI * Add presets. Hide a couple more settings * system specs * Seed embedding definition from old settings * Generate search bit index on the fly. cleanup orphaned data * support for seeded models * Fix run test for new embedding * fix selected model not set correctly
41 lines
1.1 KiB
Ruby
41 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 initialize(endpoint, api_token, referer = Discourse.base_url)
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@endpoint = endpoint
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@api_token = api_token
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@referer = referer
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end
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attr_reader :endpoint, :api_token, :referer
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def perform!(content)
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headers = {
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"Referer" => Discourse.base_url,
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"Content-Type" => "application/json",
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"Authorization" => "Bearer #{api_token}",
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}
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payload = { text: [content] }
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conn = Faraday.new { |f| f.adapter FinalDestination::FaradayAdapter }
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response = conn.post(endpoint, payload.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(:result, :data).first
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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.new(response.body.to_s)
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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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