113 lines
3.3 KiB
Ruby
113 lines
3.3 KiB
Ruby
# frozen_string_literal: true
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require_relative "endpoint_compliance"
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class VllmMock < EndpointMock
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def response(content)
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{
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id: "cmpl-6sZfAb30Rnv9Q7ufzFwvQsMpjZh8S",
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object: "chat.completion",
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created: 1_678_464_820,
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model: "mistralai/Mixtral-8x7B-Instruct-v0.1",
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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, tool_call: false)
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WebMock
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.stub_request(:post, "#{SiteSetting.ai_vllm_endpoint}/v1/chat/completions")
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.with(body: model.default_options.merge(messages: prompt).to_json)
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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: "cmpl-#{SecureRandom.hex}",
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created: 1_681_283_881,
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model: "mistralai/Mixtral-8x7B-Instruct-v0.1",
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choices: [{ delta: { content: delta } }],
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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, tool_call: false)
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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") << "data: [DONE]").split("")
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WebMock
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.stub_request(:post, "#{SiteSetting.ai_vllm_endpoint}/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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end
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RSpec.describe DiscourseAi::Completions::Endpoints::Vllm do
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subject(:endpoint) do
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described_class.new(
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"mistralai/Mixtral-8x7B-Instruct-v0.1",
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DiscourseAi::Tokenizer::MixtralTokenizer,
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)
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end
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fab!(:user)
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let(:anthropic_mock) { VllmMock.new(endpoint) }
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let(:compliance) do
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EndpointsCompliance.new(self, endpoint, DiscourseAi::Completions::Dialects::Mistral, user)
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end
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let(:dialect) { DiscourseAi::Completions::Dialects::Mistral.new(generic_prompt, model_name) }
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let(:prompt) { dialect.translate }
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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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before { SiteSetting.ai_vllm_endpoint = "https://test.dev" }
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describe "#perform_completion!" do
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context "when using regular mode" do
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context "with simple prompts" do
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it "completes a trivial prompt and logs the response" do
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compliance.regular_mode_simple_prompt(anthropic_mock)
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end
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end
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context "with tools" do
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it "returns a function invocation" do
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compliance.regular_mode_tools(anthropic_mock)
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end
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end
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end
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describe "when using streaming mode" do
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context "with simple prompts" do
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it "completes a trivial prompt and logs the response" do
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compliance.streaming_mode_simple_prompt(anthropic_mock)
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end
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end
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context "with tools" do
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it "returns a function invoncation" do
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compliance.streaming_mode_tools(anthropic_mock)
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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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