101 lines
3.1 KiB
Ruby
101 lines
3.1 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 AnthropicMessages < Base
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class << self
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def can_contact?(endpoint_name, model_name)
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endpoint_name == "anthropic" && %w[claude-3-opus claude-3-sonnet].include?(model_name)
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end
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def dependant_setting_names
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%w[ai_anthropic_api_key]
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end
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def correctly_configured?(_model_name)
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SiteSetting.ai_anthropic_api_key.present?
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end
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def endpoint_name(model_name)
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"Anthropic - #{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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# max_tokens, temperature, stop_sequences are already supported
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model_params
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end
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def default_options
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{ model: model + "-20240229", max_tokens: 3_000, stop_sequences: ["</function_calls>"] }
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end
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def provider_id
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AiApiAuditLog::Provider::Anthropic
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end
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private
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# this is an approximation, we will update it later if request goes through
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def prompt_size(prompt)
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super(prompt.system_prompt.to_s + " " + prompt.messages.to_s)
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end
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def model_uri
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@uri ||= URI("https://api.anthropic.com/v1/messages")
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end
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def prepare_payload(prompt, model_params, _dialect)
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payload = default_options.merge(model_params).merge(messages: prompt.messages)
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payload[:system] = prompt.system_prompt if prompt.system_prompt.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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"anthropic-version" => "2023-06-01",
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"x-api-key" => SiteSetting.ai_anthropic_api_key,
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"content-type" => "application/json",
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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 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 extract_completion_from(response_raw)
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result = ""
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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[:type] == "content_block_start" || parsed[:type] == "content_block_delta"
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result = parsed.dig(:delta, :text).to_s
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elsif parsed[:type] == "message_start"
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@input_tokens = parsed.dig(:message, :usage, :input_tokens)
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elsif parsed[:type] == "message_delta"
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@output_tokens = parsed.dig(:delta, :usage, :output_tokens)
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end
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else
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result = parsed.dig(:content, 0, :text).to_s
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@input_tokens = parsed.dig(:usage, :input_tokens)
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@output_tokens = parsed.dig(:usage, :output_tokens)
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end
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result
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end
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def partials_from(decoded_chunk)
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decoded_chunk.split("\n").map { |line| line.split("data: ", 2)[1] }.compact
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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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