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3064d4c288
* DEV: One LLM abstraction to rule them all * REFACTOR: HyDE search uses new LLM abstraction * REFACTOR: Summarization uses the LLM abstraction * Updated documentation and made small fixes. Remove Bedrock claude-2 restriction
75 lines
2.2 KiB
Ruby
75 lines
2.2 KiB
Ruby
# frozen_string_literal: true
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require_relative "endpoint_examples"
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RSpec.describe DiscourseAi::Completions::Endpoints::OpenAI do
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subject(:model) { described_class.new(model_name, DiscourseAi::Tokenizer::OpenAiTokenizer) }
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let(:model_name) { "gpt-3.5-turbo" }
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let(:prompt) do
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[
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{ role: "system", content: "You are a helpful bot." },
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{ role: "user", content: "Write 3 words" },
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]
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end
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let(:request_body) { model.default_options.merge(messages: prompt).to_json }
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let(:stream_request_body) { model.default_options.merge(messages: prompt, stream: true).to_json }
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def response(content)
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{
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id: "chatcmpl-6sZfAb30Rnv9Q7ufzFwvQsMpjZh8S",
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object: "chat.completion",
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created: 1_678_464_820,
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model: "gpt-3.5-turbo-0301",
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usage: {
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prompt_tokens: 337,
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completion_tokens: 162,
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total_tokens: 499,
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},
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choices: [
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{ message: { role: "assistant", content: content }, finish_reason: "stop", index: 0 },
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],
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}
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end
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def stub_response(prompt, response_text)
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WebMock
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.stub_request(:post, "https://api.openai.com/v1/chat/completions")
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.with(body: { model: model_name, messages: prompt })
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.to_return(status: 200, body: JSON.dump(response(response_text)))
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end
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def stream_line(delta, finish_reason: nil)
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+"data: " << {
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id: "chatcmpl-#{SecureRandom.hex}",
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object: "chat.completion.chunk",
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created: 1_681_283_881,
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model: "gpt-3.5-turbo-0301",
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choices: [{ delta: { content: delta } }],
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finish_reason: finish_reason,
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index: 0,
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}.to_json
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end
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def stub_streamed_response(prompt, deltas)
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chunks =
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deltas.each_with_index.map do |_, index|
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if index == (deltas.length - 1)
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stream_line(deltas[index], finish_reason: "stop_sequence")
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else
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stream_line(deltas[index])
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end
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end
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chunks = chunks.join("\n\n")
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WebMock
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.stub_request(:post, "https://api.openai.com/v1/chat/completions")
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.with(body: model.default_options.merge(messages: prompt, stream: true).to_json)
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.to_return(status: 200, body: chunks)
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end
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it_behaves_like "an endpoint that can communicate with a completion service"
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end
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