discourse-ai/lib/completions/endpoints/hugging_face.rb

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# frozen_string_literal: true
module DiscourseAi
module Completions
module Endpoints
class HuggingFace < Base
def self.can_contact?(model_provider)
model_provider == "hugging_face"
end
def normalize_model_params(model_params)
model_params = model_params.dup
# max_tokens, temperature are already supported
if model_params[:stop_sequences]
model_params[:stop] = model_params.delete(:stop_sequences)
end
model_params
end
def default_options
{ model: llm_model.name, temperature: 0.7 }
end
def provider_id
AiApiAuditLog::Provider::HuggingFaceTextGeneration
end
private
def model_uri
URI(llm_model.url)
end
def prepare_payload(prompt, model_params, _dialect)
default_options
.merge(model_params)
.merge(messages: prompt)
.tap do |payload|
if !payload[:max_tokens]
token_limit = llm_model.max_prompt_tokens
payload[:max_tokens] = token_limit - prompt_size(prompt)
end
payload[:stream] = true if @streaming_mode
end
end
def prepare_request(payload)
api_key = llm_model.api_key
headers =
{ "Content-Type" => "application/json" }.tap do |h|
h["Authorization"] = "Bearer #{api_key}" if api_key.present?
end
Net::HTTP::Post.new(model_uri, headers).tap { |r| r.body = payload }
end
def xml_tools_enabled?
true
end
def decode(response_raw)
parsed = JSON.parse(response_raw, symbolize_names: true)
text = parsed.dig(:choices, 0, :message, :content)
if text.to_s.empty?
[""]
else
[text]
end
end
def decode_chunk(chunk)
@json_decoder ||= JsonStreamDecoder.new
(@json_decoder << chunk)
.map do |parsed|
text = parsed.dig(:choices, 0, :delta, :content)
if text.to_s.empty?
nil
else
text
end
end
.compact
end
end
end
end
end