discourse-ai/lib/completions/dialects/open_ai_compatible.rb

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# frozen_string_literal: true
module DiscourseAi
module Completions
module Dialects
class OpenAiCompatible < Dialect
class << self
def can_translate?(_model_name)
true
end
end
def tokenizer
llm_model&.tokenizer_class || DiscourseAi::Tokenizer::Llama3Tokenizer
end
def tools
@tools ||= tools_dialect.translated_tools
end
def max_prompt_tokens
return llm_model.max_prompt_tokens if llm_model&.max_prompt_tokens
32_000
end
def translate
translated = super
return translated unless llm_model.lookup_custom_param("disable_system_prompt")
system_msg, user_msg = translated.shift(2)
if user_msg[:content].is_a?(Array) # Has inline images.
user_msg[:content].first[:text] = [
system_msg[:content],
user_msg[:content].first[:text],
].join("\n")
else
user_msg[:content] = [system_msg[:content], user_msg[:content]].join("\n")
end
translated.unshift(user_msg)
end
private
def system_msg(msg)
msg = { role: "system", content: msg[:content] }
if tools_dialect.instructions.present?
msg[:content] = msg[:content].dup << "\n\n#{tools_dialect.instructions}"
end
msg
end
def model_msg(msg)
{ role: "assistant", content: msg[:content] }
end
def tool_call_msg(msg)
translated = tools_dialect.from_raw_tool_call(msg)
{ role: "assistant", content: translated }
end
def tool_msg(msg)
translated = tools_dialect.from_raw_tool(msg)
{ role: "user", content: translated }
end
def user_msg(msg)
content = +""
content << "#{msg[:id]}: " if msg[:id]
content << msg[:content]
message = { role: "user", content: content }
message[:content] = inline_images(message[:content], msg) if vision_support?
message
end
def inline_images(content, message)
encoded_uploads = prompt.encoded_uploads(message)
return content if encoded_uploads.blank?
content_w_imgs =
encoded_uploads.reduce([{ type: "text", text: message[:content] }]) do |memo, details|
memo << {
type: "image_url",
image_url: {
url: "data:#{details[:mime_type]};base64,#{details[:base64]}",
},
}
end
end
end
end
end
end