115 lines
3.2 KiB
Ruby
115 lines
3.2 KiB
Ruby
# frozen_string_literal: true
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module DiscourseAi
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module Completions
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module Endpoints
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class Cohere < Base
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class << self
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def can_contact?(endpoint_name, model_name)
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return false unless endpoint_name == "cohere"
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%w[command-light command command-r command-r-plus].include?(model_name)
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end
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def dependant_setting_names
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%w[ai_cohere_api_key]
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end
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def correctly_configured?(model_name)
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SiteSetting.ai_cohere_api_key.present?
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end
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def endpoint_name(model_name)
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"Cohere - #{model_name}"
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end
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end
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def normalize_model_params(model_params)
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model_params = model_params.dup
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model_params[:p] = model_params.delete(:top_p) if model_params[:top_p]
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model_params
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end
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def default_options(dialect)
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options = { model: "command-r-plus" }
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options[:stop_sequences] = ["</function_calls>"] if dialect.prompt.has_tools?
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options
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end
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def provider_id
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AiApiAuditLog::Provider::Cohere
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end
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private
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def model_uri
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URI("https://api.cohere.ai/v1/chat")
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end
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def prepare_payload(prompt, model_params, dialect)
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payload = default_options(dialect).merge(model_params).merge(prompt)
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payload[:stream] = true if @streaming_mode
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payload
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end
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def prepare_request(payload)
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headers = {
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"Content-Type" => "application/json",
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"Authorization" => "Bearer #{SiteSetting.ai_cohere_api_key}",
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}
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Net::HTTP::Post.new(model_uri, headers).tap { |r| r.body = payload }
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end
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def extract_completion_from(response_raw)
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parsed = JSON.parse(response_raw, symbolize_names: true)
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if @streaming_mode
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if parsed[:event_type] == "text-generation"
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parsed[:text]
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else
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if parsed[:event_type] == "stream-end"
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@input_tokens = parsed.dig(:response, :meta, :billed_units, :input_tokens)
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@output_tokens = parsed.dig(:response, :meta, :billed_units, :output_tokens)
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end
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nil
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end
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else
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@input_tokens = parsed.dig(:meta, :billed_units, :input_tokens)
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@output_tokens = parsed.dig(:meta, :billed_units, :output_tokens)
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parsed[:text].to_s
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end
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end
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def final_log_update(log)
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log.request_tokens = @input_tokens if @input_tokens
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log.response_tokens = @output_tokens if @output_tokens
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end
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def partials_from(decoded_chunk)
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decoded_chunk.split("\n").compact
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end
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def extract_prompt_for_tokenizer(prompt)
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text = +""
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if prompt[:chat_history]
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text << prompt[:chat_history]
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.map { |message| message[:content] || message["content"] || "" }
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.join("\n")
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end
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text << prompt[:message] if prompt[:message]
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text << prompt[:preamble] if prompt[:preamble]
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text
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end
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end
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end
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end
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end
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