discourse-ai/spec/lib/completions/dialects/orca_style_spec.rb

72 lines
1.8 KiB
Ruby

# frozen_string_literal: true
require_relative "dialect_context"
RSpec.describe DiscourseAi::Completions::Dialects::OrcaStyle do
let(:model_name) { "StableBeluga2" }
let(:context) { DialectContext.new(described_class, model_name) }
describe "#translate" do
it "translates a prompt written in our generic format to the Llama2 format" do
llama2_classic_version = <<~TEXT
### System:
#{context.system_insts}
#{described_class.tool_preamble(include_array_tip: false)}
<tools>
#{context.dialect_tools}</tools>
### User:
#{context.simple_user_input}
### Assistant:
TEXT
translated = context.system_user_scenario
expect(translated).to eq(llama2_classic_version)
end
it "translates tool messages" do
expected = +(<<~TEXT)
### System:
#{context.system_insts}
#{described_class.tool_preamble(include_array_tip: false)}
<tools>
#{context.dialect_tools}</tools>
### User:
This is a message by a user
### Assistant:
I'm a previous bot reply, that's why there's no user
### User:
This is a new message by a user
### Assistant:
<function_calls>
<invoke>
<tool_name>get_weather</tool_name>
<parameters>
<location>Sydney</location>
<unit>c</unit>
</parameters>
</invoke>
</function_calls>
### User:
<function_results>
<result>
<tool_name>get_weather</tool_name>
<json>
"I'm a tool result"
</json>
</result>
</function_results>
### Assistant:
TEXT
expect(context.multi_turn_scenario).to eq(expected)
end
it "trims content if it's getting too long" do
translated = context.long_user_input_scenario
expect(translated.length).to be < context.long_message_text.length
end
end
end