# frozen_string_literal: true require_relative "dialect_context" RSpec.describe DiscourseAi::Completions::Dialects::Gemini do let(:model_name) { "gemini-1.5-pro" } let(:context) { DialectContext.new(described_class, model_name) } describe "#translate" do it "translates a prompt written in our generic format to the Gemini format" do gemini_version = { messages: [{ role: "user", parts: [{ text: context.simple_user_input }] }], system_instruction: context.system_insts, } translated = context.system_user_scenario expect(translated).to eq(gemini_version) end it "injects model after tool call" do expect(context.image_generation_scenario).to eq( { messages: [ { role: "user", parts: [{ text: "draw a cat" }] }, { role: "model", parts: [{ functionCall: { name: "draw", args: { picture: "Cat" } } }], }, { role: "function", parts: [ { functionResponse: { name: "tool_id", response: { content: "\"I'm a tool result\"", }, }, }, ], }, { role: "model", parts: { text: "Ok." } }, { role: "user", parts: [{ text: "draw another cat" }] }, ], system_instruction: context.system_insts, }, ) end it "translates tool_call and tool messages" do expect(context.multi_turn_scenario).to eq( { messages: [ { role: "user", parts: [{ text: "This is a message by a user" }] }, { role: "model", parts: [{ text: "I'm a previous bot reply, that's why there's no user" }], }, { role: "user", parts: [{ text: "This is a new message by a user" }] }, { role: "model", parts: [ { functionCall: { name: "get_weather", args: { location: "Sydney", unit: "c" } } }, ], }, { role: "function", parts: [ { functionResponse: { name: "get_weather", response: { content: "\"I'm a tool result\"", }, }, }, ], }, ], system_instruction: "I want you to act as a title generator for written pieces. I will provide you with a text,\nand you will generate five attention-grabbing titles. Please keep the title concise and under 20 words,\nand ensure that the meaning is maintained. Replies will utilize the language type of the topic.\n", }, ) end it "trims content if it's getting too long" do # testing truncation on 800k tokens is slow use model with less context = DialectContext.new(described_class, "gemini-pro") translated = context.long_user_input_scenario(length: 5_000) expect(translated[:messages].last[:role]).to eq("user") expect(translated[:messages].last.dig(:parts, :text).length).to be < context.long_message_text(length: 5_000).length end end describe "#tools" do it "returns a list of available tools" do gemini_tools = { function_declarations: [ { name: "get_weather", description: "Get the weather in a city", parameters: { type: "object", required: %w[location unit], properties: { "location" => { type: "string", description: "the city name", }, "unit" => { type: "string", description: "the unit of measurement celcius c or fahrenheit f", enum: %w[c f], }, }, }, }, ], } expect(context.dialect_tools).to contain_exactly(gemini_tools) end end end