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	We were running out of tokens under certain conditions (really long chains) Add more buffer.
		
			
				
	
	
		
			137 lines
		
	
	
		
			3.9 KiB
		
	
	
	
		
			Ruby
		
	
	
	
	
	
			
		
		
	
	
			137 lines
		
	
	
		
			3.9 KiB
		
	
	
	
		
			Ruby
		
	
	
	
	
	
| # frozen_string_literal: true
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| 
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| module DiscourseAi
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|   module AiBot
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|     class OpenAiBot < Bot
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|       def self.can_reply_as?(bot_user)
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|         open_ai_bot_ids = [
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|           DiscourseAi::AiBot::EntryPoint::GPT4_ID,
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|           DiscourseAi::AiBot::EntryPoint::GPT3_5_TURBO_ID,
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|         ]
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| 
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|         open_ai_bot_ids.include?(bot_user.id)
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|       end
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| 
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|       def prompt_limit
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|         # note this is about 100 tokens over, OpenAI have a more optimal representation
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|         @function_size ||= tokenize(available_functions.to_json).length
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| 
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|         # provide a buffer of 120 tokens - our function counting is not
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|         # 100% accurate and getting numbers to align exactly is very hard
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|         buffer = @function_size + reply_params[:max_tokens] + 120
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| 
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|         if bot_user.id == DiscourseAi::AiBot::EntryPoint::GPT4_ID
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|           8192 - buffer
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|         else
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|           16_384 - buffer
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|         end
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|       end
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| 
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|       def reply_params
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|         # technically we could allow GPT-3.5 16k more tokens
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|         # but lets just keep it here for now
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|         { temperature: 0.4, top_p: 0.9, max_tokens: 2500 }
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|       end
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| 
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|       def extra_tokens_per_message
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|         # open ai defines about 4 tokens per message of overhead
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|         4
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|       end
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| 
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|       def submit_prompt(
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|         prompt,
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|         prefer_low_cost: false,
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|         temperature: nil,
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|         top_p: nil,
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|         max_tokens: nil,
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|         &blk
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|       )
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|         params =
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|           reply_params.merge(
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|             temperature: temperature,
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|             top_p: top_p,
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|             max_tokens: max_tokens,
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|           ) { |key, old_value, new_value| new_value.nil? ? old_value : new_value }
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| 
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|         model = model_for(low_cost: prefer_low_cost)
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| 
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|         params[:functions] = available_functions if available_functions.present?
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| 
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|         DiscourseAi::Inference::OpenAiCompletions.perform!(prompt, model, **params, &blk)
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|       end
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| 
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|       def tokenizer
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|         DiscourseAi::Tokenizer::OpenAiTokenizer
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|       end
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| 
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|       def model_for(low_cost: false)
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|         return "gpt-4" if bot_user.id == DiscourseAi::AiBot::EntryPoint::GPT4_ID && !low_cost
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|         "gpt-3.5-turbo-16k"
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|       end
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| 
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|       def clean_username(username)
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|         if username.match?(/\0[a-zA-Z0-9_-]{1,64}\z/)
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|           username
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|         else
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|           # not the best in the world, but this is what we have to work with
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|           # if sites enable unicode usernames this can get messy
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|           username.gsub(/[^a-zA-Z0-9_-]/, "_")[0..63]
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|         end
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|       end
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| 
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|       def include_function_instructions_in_system_prompt?
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|         # open ai uses a bespoke system for function calls
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|         false
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|       end
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| 
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|       private
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| 
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|       def populate_functions(partial:, reply:, functions:, done:)
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|         return if !partial
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|         fn = partial.dig(:choices, 0, :delta, :function_call)
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|         if fn
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|           functions.add_function(fn[:name]) if fn[:name].present?
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|           functions.add_argument_fragment(fn[:arguments]) if !fn[:arguments].nil?
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|         end
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|       end
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| 
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|       def build_message(poster_username, content, function: false, system: false)
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|         is_bot = poster_username == bot_user.username
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| 
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|         if function
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|           role = "function"
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|         elsif system
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|           role = "system"
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|         else
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|           role = is_bot ? "assistant" : "user"
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|         end
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| 
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|         result = { role: role, content: content }
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| 
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|         if function
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|           result[:name] = poster_username
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|         elsif !system && poster_username != bot_user.username && poster_username.present?
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|           # Open AI restrict name to 64 chars and only A-Za-z._ (work around)
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|           result[:name] = clean_username(poster_username)
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|         end
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| 
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|         result
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|       end
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| 
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|       def get_delta(partial, _context)
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|         partial.dig(:choices, 0, :delta, :content).to_s
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|       end
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| 
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|       def get_updated_title(prompt)
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|         DiscourseAi::Inference::OpenAiCompletions.perform!(
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|           prompt,
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|           model_for,
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|           temperature: 0.7,
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|           top_p: 0.9,
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|           max_tokens: 40,
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|         ).dig(:choices, 0, :message, :content)
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|       end
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|     end
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|   end
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| end
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