63 lines
1.6 KiB
Ruby
63 lines
1.6 KiB
Ruby
# frozen_string_literal: true
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require_relative "dialect_context"
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RSpec.describe DiscourseAi::Completions::Dialects::Llama2Classic do
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let(:model_name) { "Llama2-chat-hf" }
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let(:context) { DialectContext.new(described_class, model_name) }
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describe "#translate" do
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it "translates a prompt written in our generic format to the Llama2 format" do
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llama2_classic_version = <<~TEXT
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[INST]
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<<SYS>>
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#{context.system_insts}
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#{described_class.tool_preamble}
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<tools>
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#{context.dialect_tools}</tools>
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<</SYS>>
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[/INST]
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[INST]#{context.simple_user_input}[/INST]
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TEXT
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translated = context.system_user_scenario
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expect(translated).to eq(llama2_classic_version)
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end
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it "translates tool messages" do
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expected = +(<<~TEXT)
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[INST]
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<<SYS>>
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#{context.system_insts}
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#{described_class.tool_preamble}
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<tools>
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#{context.dialect_tools}</tools>
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<</SYS>>
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[/INST]
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[INST]This is a message by a user[/INST]
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I'm a previous bot reply, that's why there's no user
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[INST]This is a new message by a user[/INST]
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[INST]
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<function_results>
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<result>
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<tool_name>tool_id</tool_name>
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<json>
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"I'm a tool result"
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</json>
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</result>
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</function_results>
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[/INST]
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TEXT
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expect(context.multi_turn_scenario).to eq(expected)
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end
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it "trims content if it's getting too long" do
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translated = context.long_user_input_scenario
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expect(translated.length).to be < context.long_message_text.length
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end
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end
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end
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