72 lines
1.8 KiB
Ruby
72 lines
1.8 KiB
Ruby
# frozen_string_literal: true
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require_relative "dialect_context"
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RSpec.describe DiscourseAi::Completions::Dialects::OrcaStyle do
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let(:model_name) { "StableBeluga2" }
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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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### System:
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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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### User:
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#{context.simple_user_input}
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### Assistant:
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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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### System:
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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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### User:
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This is a message by a user
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### Assistant:
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I'm a previous bot reply, that's why there's no user
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### User:
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This is a new message by a user
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### Assistant:
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<function_calls>
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<invoke>
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<tool_name>get_weather</tool_name>
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<parameters>
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<location>Sydney</location>
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<unit>c</unit>
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</parameters>
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</invoke>
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</function_calls>
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### User:
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<function_results>
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<result>
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<tool_name>get_weather</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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### Assistant:
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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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