# frozen_string_literal: true require_relative "endpoint_examples" require "aws-eventstream" require "aws-sigv4" RSpec.describe DiscourseAi::Completions::Endpoints::AwsBedrock do subject(:model) { described_class.new(model_name, DiscourseAi::Tokenizer::AnthropicTokenizer) } let(:model_name) { "claude-2" } let(:bedrock_name) { "claude-v2:1" } let(:generic_prompt) { { insts: "write 3 words" } } let(:dialect) { DiscourseAi::Completions::Dialects::Claude.new(generic_prompt, model_name) } let(:prompt) { dialect.translate } let(:request_body) { model.default_options.merge(prompt: prompt).to_json } let(:stream_request_body) { request_body } let(:tool_id) { "get_weather" } before do SiteSetting.ai_bedrock_access_key_id = "123456" SiteSetting.ai_bedrock_secret_access_key = "asd-asd-asd" SiteSetting.ai_bedrock_region = "us-east-1" end def response(content) { completion: content, stop: "\n\nHuman:", stop_reason: "stop_sequence", truncated: false, log_id: "12dcc7feafbee4a394e0de9dffde3ac5", model: model_name, exception: nil, } end def stub_response(prompt, response_text, tool_call: false) WebMock .stub_request( :post, "https://bedrock-runtime.#{SiteSetting.ai_bedrock_region}.amazonaws.com/model/anthropic.#{bedrock_name}/invoke", ) .with(body: request_body) .to_return(status: 200, body: JSON.dump(response(response_text))) end def stream_line(delta, finish_reason: nil) encoder = Aws::EventStream::Encoder.new message = Aws::EventStream::Message.new( payload: StringIO.new( { bytes: Base64.encode64( { completion: delta, stop: finish_reason ? "\n\nHuman:" : nil, stop_reason: finish_reason, truncated: false, log_id: "12b029451c6d18094d868bc04ce83f63", model: "claude-2.1", exception: nil, }.to_json, ), }.to_json, ), ) encoder.encode(message) end def stub_streamed_response(prompt, deltas, tool_call: false) chunks = deltas.each_with_index.map do |_, index| if index == (deltas.length - 1) stream_line(deltas[index], finish_reason: "stop_sequence") else stream_line(deltas[index]) end end WebMock .stub_request( :post, "https://bedrock-runtime.#{SiteSetting.ai_bedrock_region}.amazonaws.com/model/anthropic.#{bedrock_name}/invoke-with-response-stream", ) .with(body: stream_request_body) .to_return(status: 200, body: chunks) end let(:tool_deltas) { [" get_weather Sydney c REPLY let(:tool_call) { invocation } it_behaves_like "an endpoint that can communicate with a completion service" end