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https://github.com/discourse/discourse-ai.git
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e0bf6adb5b
This PR adds tool support to available LLMs. We'll buffer tool invocations and return them instead of making users of this service parse the response. It also adds support for conversation context in the generic prompt. It includes bot messages, user messages, and tool invocations, which we'll trim to make sure it doesn't exceed the prompt limit, then translate them to the correct dialect. Finally, It adds some buffering when reading chunks to handle cases when streaming is extremely slow.:M
72 lines
2.4 KiB
Ruby
72 lines
2.4 KiB
Ruby
# frozen_string_literal: true
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RSpec.describe DiscourseAi::Completions::Llm do
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subject(:llm) do
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described_class.new(
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DiscourseAi::Completions::Dialects::OrcaStyle,
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canned_response,
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"Upstage-Llama-2-*-instruct-v2",
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)
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end
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fab!(:user) { Fabricate(:user) }
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describe ".proxy" do
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it "raises an exception when we can't proxy the model" do
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fake_model = "unknown_v2"
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expect { described_class.proxy(fake_model) }.to(
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raise_error(DiscourseAi::Completions::Llm::UNKNOWN_MODEL),
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)
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end
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end
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describe "#completion!" do
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let(:prompt) do
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{
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insts: <<~TEXT,
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I want you to act as a title generator for written pieces. I will provide you with a text,
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and you will generate five attention-grabbing titles. Please keep the title concise and under 20 words,
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and ensure that the meaning is maintained. Replies will utilize the language type of the topic.
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TEXT
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input: <<~TEXT,
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Here is the text, inside <input></input> XML tags:
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<input>
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To perfect his horror, Caesar, surrounded at the base of the statue by the impatient daggers of his friends,
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discovers among the faces and blades that of Marcus Brutus, his protege, perhaps his son, and he no longer
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defends himself, but instead exclaims: 'You too, my son!' Shakespeare and Quevedo capture the pathetic cry.
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</input>
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TEXT
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post_insts:
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"Please put the translation between <ai></ai> tags and separate each title with a comma.",
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}
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end
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let(:canned_response) do
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DiscourseAi::Completions::Endpoints::CannedResponse.new(
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[
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"<ai>The solitary horse.,The horse etched in gold.,A horse's infinite journey.,A horse lost in time.,A horse's last ride.</ai>",
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],
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)
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end
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context "when getting the full response" do
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it "processes the prompt and return the response" do
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llm_response = llm.completion!(prompt, user)
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expect(llm_response).to eq(canned_response.responses[0])
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end
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end
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context "when getting a streamed response" do
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it "processes the prompt and call the given block with the partial response" do
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llm_response = +""
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llm.completion!(prompt, user) { |partial, cancel_fn| llm_response << partial }
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expect(llm_response).to eq(canned_response.responses[0])
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end
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end
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end
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end
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