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https://github.com/discourse/discourse-ai.git
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db19e37748
This splits out a bunch of code that used to live inside bots into a dedicated concept called a Persona. This allows us to start playing with multiple personas for the bot Ships with: artist - for making images sql helper - for helping with data explorer general - for everything and anything Also includes a few fixes that make the generic LLM function implementation more robust
63 lines
1.8 KiB
Ruby
63 lines
1.8 KiB
Ruby
# frozen_string_literal: true
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require "rails_helper"
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module DiscourseAi::Inference
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describe FunctionList do
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let :function_list do
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function =
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Function.new(name: "get_weather", description: "Get the weather in a city (default to c)")
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function.add_parameter(
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name: "location",
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type: "string",
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description: "the city name",
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required: true,
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)
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function.add_parameter(
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name: "unit",
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type: "string",
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description: "the unit of measurement celcius c or fahrenheit f",
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enum: %w[c f],
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required: false,
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)
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list = FunctionList.new
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list << function
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list
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end
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it "can handle complex parsing" do
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raw_prompt = <<~PROMPT
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!get_weather(location: "sydney,melbourne", unit: "f")
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!get_weather (location: sydney)
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!get_weather(location : "sydney's", unit: "m", invalid: "invalid")
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!get_weather(unit: "f", invalid: "invalid")
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PROMPT
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parsed = function_list.parse_prompt(raw_prompt)
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expect(parsed).to eq(
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[
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{ name: "get_weather", arguments: { location: "sydney,melbourne", unit: "f" } },
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{ name: "get_weather", arguments: { location: "sydney" } },
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{ name: "get_weather", arguments: { location: "sydney's" } },
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],
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)
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end
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it "can generate a general custom system prompt" do
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prompt = function_list.system_prompt
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# this is fragile, by design, we need to test something here
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#
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expected = <<~PROMPT
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{
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// Get the weather in a city (default to c)
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!get_weather(location: string [required] /* the city name */, unit: string [optional] /* the unit of measurement celcius c or fahrenheit f [valid values: c,f] */)
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}
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PROMPT
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expect(prompt).to include(expected)
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end
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end
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end
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