138 lines
4.2 KiB
Ruby
138 lines
4.2 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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def self.can_contact?(model_provider)
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model_provider == "cohere"
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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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{ model: "command-r-plus" }
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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(llm_model.url)
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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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if prompt[:tools].present?
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payload[:tools] = prompt[:tools]
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payload[:force_single_step] = false
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end
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payload[:tool_results] = prompt[:tool_results] if prompt[:tool_results].present?
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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 #{llm_model.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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elsif parsed[:event_type] == "tool-calls-generation"
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# could just be random thinking...
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if parsed.dig(:tool_calls).present?
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@has_tool = true
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parsed.dig(:tool_calls).to_json
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else
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""
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end
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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 has_tool?(_ignored)
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@has_tool
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end
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def native_tool_support?
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true
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end
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def add_to_function_buffer(function_buffer, partial: nil, payload: nil)
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if partial
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tools = JSON.parse(partial)
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tools.each do |tool|
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name = tool["name"]
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parameters = tool["parameters"]
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xml_params = parameters.map { |k, v| "<#{k}>#{v}</#{k}>\n" }.join
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current_function = function_buffer.at("invoke")
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if current_function.nil? || current_function.at("tool_name").content.present?
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current_function =
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function_buffer.at("function_calls").add_child(
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Nokogiri::HTML5::DocumentFragment.parse(noop_function_call_text + "\n"),
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)
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end
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current_function.at("tool_name").content = name == "search_local" ? "search" : name
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current_function.at("parameters").children =
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Nokogiri::HTML5::DocumentFragment.parse(xml_params)
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end
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end
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function_buffer
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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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