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

145 lines
4.0 KiB
Ruby

# frozen_string_literal: true
module DiscourseAi
module Completions
module Dialects
class Claude < Dialect
class << self
def can_translate?(model_name)
model_name.start_with?("claude") || model_name.start_with?("anthropic")
end
end
class ClaudePrompt
attr_reader :system_prompt
attr_reader :messages
attr_reader :tools
def initialize(system_prompt, messages, tools)
@system_prompt = system_prompt
@messages = messages
@tools = tools
end
def has_tools?
tools.present?
end
end
def tokenizer
llm_model&.tokenizer_class || DiscourseAi::Tokenizer::AnthropicTokenizer
end
def translate
messages = super
system_prompt = messages.shift[:content] if messages.first[:role] == "system"
if !system_prompt && !native_tool_support?
system_prompt = tools_dialect.instructions.presence
end
interleving_messages = []
previous_message = nil
messages.each do |message|
if previous_message
if previous_message[:role] == "user" && message[:role] == "user"
interleving_messages << { role: "assistant", content: "OK" }
elsif previous_message[:role] == "assistant" && message[:role] == "assistant"
interleving_messages << { role: "user", content: "OK" }
end
end
interleving_messages << message
previous_message = message
end
tools = nil
tools = tools_dialect.translated_tools if native_tool_support?
ClaudePrompt.new(system_prompt.presence, interleving_messages, tools)
end
def max_prompt_tokens
return llm_model.max_prompt_tokens if llm_model&.max_prompt_tokens
# Longer term it will have over 1 million
200_000 # Claude-3 has a 200k context window for now
end
def native_tool_support?
SiteSetting.ai_anthropic_native_tool_call_models_map.include?(model_name)
end
private
def tools_dialect
if native_tool_support?
@tools_dialect ||= DiscourseAi::Completions::Dialects::ClaudeTools.new(prompt.tools)
else
super
end
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 model_msg(msg)
{ role: "assistant", content: msg[:content] }
end
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 user_msg(msg)
content = +""
content << "#{msg[:id]}: " if msg[:id]
content << msg[:content]
content = inline_images(content, msg)
{ role: "user", content: content }
end
def inline_images(content, message)
if model_name.include?("claude-3")
encoded_uploads = prompt.encoded_uploads(message)
if encoded_uploads.present?
new_content = []
new_content.concat(
encoded_uploads.map do |details|
{
source: {
type: "base64",
data: details[:base64],
media_type: details[:mime_type],
},
type: "image",
}
end,
)
new_content << { type: "text", text: content }
content = new_content
end
end
content
end
end
end
end
end