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

228 lines
6.8 KiB
Ruby

# frozen_string_literal: true
module DiscourseAi
module Completions
module Dialects
class Dialect
class << self
def can_translate?(_model_name)
raise NotImplemented
end
def dialect_for(model_name)
dialects = [
DiscourseAi::Completions::Dialects::Claude,
DiscourseAi::Completions::Dialects::Llama2Classic,
DiscourseAi::Completions::Dialects::ChatGpt,
DiscourseAi::Completions::Dialects::OrcaStyle,
DiscourseAi::Completions::Dialects::Gemini,
DiscourseAi::Completions::Dialects::Mixtral,
DiscourseAi::Completions::Dialects::ClaudeMessages,
]
if Rails.env.test? || Rails.env.development?
dialects << DiscourseAi::Completions::Dialects::Fake
end
dialect = dialects.find { |d| d.can_translate?(model_name) }
raise DiscourseAi::Completions::Llm::UNKNOWN_MODEL if !dialect
dialect
end
def tokenizer
raise NotImplemented
end
def tool_preamble
<<~TEXT
In this environment you have access to a set of tools you can use to answer the user's question.
You may call them like this.
<function_calls>
<invoke>
<tool_name>$TOOL_NAME</tool_name>
<parameters>
<$PARAMETER_NAME>$PARAMETER_VALUE</$PARAMETER_NAME>
...
</parameters>
</invoke>
</function_calls>
If a parameter type is an array, return a JSON array of values. For example:
[1,"two",3.0]
If you wish to call multiple function in one reply, wrap multiple <invoke>
block in a single <function_calls> block.
Always prefer to lead with tool calls, if you need to execute any.
Avoid all niceties prior to tool calls, Eg: "Let me look this up for you.." etc.
Here are the complete list of tools available:
TEXT
end
end
def initialize(generic_prompt, model_name, opts: {})
@prompt = generic_prompt
@model_name = model_name
@opts = opts
end
def translate
raise NotImplemented
end
def tool_result_to_xml(message)
(<<~TEXT).strip
<function_results>
<result>
<tool_name>#{message[:name] || message[:id]}</tool_name>
<json>
#{message[:content]}
</json>
</result>
</function_results>
TEXT
end
def tool_call_to_xml(message)
parsed = JSON.parse(message[:content], symbolize_names: true)
parameters = +""
if parsed[:arguments]
parameters << "<parameters>\n"
parsed[:arguments].each { |k, v| parameters << "<#{k}>#{v}</#{k}>\n" }
parameters << "</parameters>\n"
end
(<<~TEXT).strip
<function_calls>
<invoke>
<tool_name>#{message[:name] || parsed[:name]}</tool_name>
#{parameters}</invoke>
</function_calls>
TEXT
end
def tools
tools = +""
prompt.tools.each do |function|
parameters = +""
if function[:parameters].present?
function[:parameters].each do |parameter|
parameters << <<~PARAMETER
<parameter>
<name>#{parameter[:name]}</name>
<type>#{parameter[:type]}</type>
<description>#{parameter[:description]}</description>
<required>#{parameter[:required]}</required>
PARAMETER
if parameter[:enum]
parameters << "<options>#{parameter[:enum].join(",")}</options>\n"
end
parameters << "</parameter>\n"
end
end
tools << <<~TOOLS
<tool_description>
<tool_name>#{function[:name]}</tool_name>
<description>#{function[:description]}</description>
<parameters>
#{parameters}</parameters>
</tool_description>
TOOLS
end
tools
end
def conversation_context
raise NotImplemented
end
def max_prompt_tokens
raise NotImplemented
end
attr_reader :prompt
private
attr_reader :model_name, :opts
def trim_messages(messages)
prompt_limit = max_prompt_tokens
current_token_count = 0
message_step_size = (max_prompt_tokens / 25).to_i * -1
trimmed_messages = []
range = (0..-1)
if messages.dig(0, :type) == :system
system_message = messages[0]
trimmed_messages << system_message
current_token_count += calculate_message_token(system_message)
range = (1..-1)
end
reversed_trimmed_msgs = []
messages[range].reverse.each do |msg|
break if current_token_count >= prompt_limit
message_tokens = calculate_message_token(msg)
dupped_msg = msg.dup
# Don't trim tool call metadata.
if msg[:type] == :tool_call
break if current_token_count + message_tokens + per_message_overhead > prompt_limit
current_token_count += message_tokens + per_message_overhead
reversed_trimmed_msgs << dupped_msg
next
end
# Trimming content to make sure we respect token limit.
while dupped_msg[:content].present? &&
message_tokens + current_token_count + per_message_overhead > prompt_limit
dupped_msg[:content] = dupped_msg[:content][0..message_step_size] || ""
message_tokens = calculate_message_token(dupped_msg)
end
next if dupped_msg[:content].blank?
current_token_count += message_tokens + per_message_overhead
reversed_trimmed_msgs << dupped_msg
end
reversed_trimmed_msgs.pop if reversed_trimmed_msgs.last&.dig(:type) == :tool
trimmed_messages.concat(reversed_trimmed_msgs.reverse)
end
def per_message_overhead
0
end
def calculate_message_token(msg)
self.class.tokenizer.size(msg[:content].to_s)
end
def build_tools_prompt
return "" if prompt.tools.blank?
(<<~TEXT).strip
#{self.class.tool_preamble}
<tools>
#{tools}</tools>
TEXT
end
end
end
end
end