discourse-ai/lib/completions/endpoints/anthropic.rb

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# frozen_string_literal: true
module DiscourseAi
module Completions
module Endpoints
class Anthropic < Base
class << self
def can_contact?(endpoint_name, model_name)
endpoint_name == "anthropic" && %w[claude-instant-1 claude-2].include?(model_name)
end
def dependant_setting_names
%w[ai_anthropic_api_key]
end
def correctly_configured?(_model_name)
SiteSetting.ai_anthropic_api_key.present?
end
def endpoint_name(model_name)
"Anthropic - #{model_name}"
end
end
def normalize_model_params(model_params)
model_params = model_params.dup
# temperature, stop_sequences are already supported
#
if model_params[:max_tokens]
model_params[:max_tokens_to_sample] = model_params.delete(:max_tokens)
end
model_params
end
def default_options
{
model: model == "claude-2" ? "claude-2.1" : model,
max_tokens_to_sample: 3_000,
stop_sequences: ["\n\nHuman:", "</function_calls>"],
}
end
def provider_id
AiApiAuditLog::Provider::Anthropic
end
private
def model_uri
@uri ||= URI("https://api.anthropic.com/v1/complete")
end
def prepare_payload(prompt, model_params, _dialect)
default_options
.merge(model_params)
.merge(prompt: prompt)
.tap { |payload| payload[:stream] = true if @streaming_mode }
end
def prepare_request(payload)
headers = {
"anthropic-version" => "2023-06-01",
"x-api-key" => SiteSetting.ai_anthropic_api_key,
"content-type" => "application/json",
}
Net::HTTP::Post.new(model_uri, headers).tap { |r| r.body = payload }
end
def extract_completion_from(response_raw)
JSON.parse(response_raw, symbolize_names: true)[:completion].to_s
end
def partials_from(decoded_chunk)
decoded_chunk.split("\n").map { |line| line.split("data: ", 2)[1] }.compact
end
end
end
end
end