85 lines
2.2 KiB
Ruby
85 lines
2.2 KiB
Ruby
# frozen_string_literal: true
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module DiscourseAi
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module Completions
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module Endpoints
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class HuggingFace < Base
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def self.can_contact?(model_provider)
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model_provider == "hugging_face"
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end
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def normalize_model_params(model_params)
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model_params = model_params.dup
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# max_tokens, temperature are already supported
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if model_params[:stop_sequences]
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model_params[:stop] = model_params.delete(:stop_sequences)
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end
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model_params
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end
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def default_options
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{ model: llm_model.name, temperature: 0.7 }
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end
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def provider_id
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AiApiAuditLog::Provider::HuggingFaceTextGeneration
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end
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private
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def model_uri
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URI(llm_model.url)
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end
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def prepare_payload(prompt, model_params, _dialect)
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default_options
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.merge(model_params)
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.merge(messages: prompt)
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.tap do |payload|
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if !payload[:max_tokens]
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token_limit = llm_model.max_prompt_tokens
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payload[:max_tokens] = token_limit - prompt_size(prompt)
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end
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payload[:stream] = true if @streaming_mode
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end
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end
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def prepare_request(payload)
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api_key = llm_model.api_key
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headers =
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{ "Content-Type" => "application/json" }.tap do |h|
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h["Authorization"] = "Bearer #{api_key}" if api_key.present?
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end
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Net::HTTP::Post.new(model_uri, headers).tap { |r| r.body = payload }
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end
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def extract_completion_from(response_raw)
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parsed = JSON.parse(response_raw, symbolize_names: true).dig(:choices, 0)
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# half a line sent here
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return if !parsed
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response_h = @streaming_mode ? parsed.dig(:delta) : parsed.dig(:message)
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response_h.dig(:content)
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end
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def partials_from(decoded_chunk)
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decoded_chunk
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.split("\n")
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.map do |line|
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data = line.split("data:", 2)[1]
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data&.squish == "[DONE]" ? nil : data
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end
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.compact
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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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