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* DEV: refactor bot internals This introduces a proper object for bot context, this makes it simpler to improve context management as we go cause we have a nice object to work with Starts refactoring allowing for a single message to have multiple uploads throughout * transplant method to message builder * chipping away at inline uploads * image support is improved but not fully fixed yet partially working in anthropic, still got quite a few dialects to go * open ai and claude are now working * Gemini is now working as well * fix nova * more dialects... * fix ollama * fix specs * update artifact fixed * more tests * spam scanner * pass more specs * bunch of specs improved * more bug fixes. * all the rest of the tests are working * improve tests coverage and ensure custom tools are aware of new context object * tests are working, but we need more tests * resolve merge conflict * new preamble and expanded specs on ai tool * remove concept of "standalone tools" This is no longer needed, we can set custom raw, tool details are injected into tool calls
82 lines
2.6 KiB
Ruby
82 lines
2.6 KiB
Ruby
# frozen_string_literal: true
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require "rails_helper"
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require_relative "dialect_context"
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RSpec.describe DiscourseAi::Completions::Dialects::Mistral do
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fab!(:model) { Fabricate(:mistral_model) }
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let(:context) { DialectContext.new(described_class, model) }
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let(:image100x100) { plugin_file_from_fixtures("100x100.jpg") }
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let(:upload100x100) do
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UploadCreator.new(image100x100, "image.jpg").create_for(Discourse.system_user.id)
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end
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it "does not include user names" do
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prompt =
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DiscourseAi::Completions::Prompt.new(
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messages: [type: :user, content: "Hello, I am Bob", id: "bob"],
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)
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dialect = described_class.new(prompt, model)
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# mistral has no support for name
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expect(dialect.translate).to eq([{ role: "user", content: "bob: Hello, I am Bob" }])
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end
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it "can properly encode images" do
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model.update!(vision_enabled: true)
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prompt =
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DiscourseAi::Completions::Prompt.new(
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"You are image bot",
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messages: [type: :user, id: "user1", content: ["hello", { upload_id: upload100x100.id }]],
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)
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encoded = prompt.encoded_uploads(prompt.messages.last)
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image = "data:image/jpeg;base64,#{encoded[0][:base64]}"
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dialect = described_class.new(prompt, model)
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content = dialect.translate[1][:content]
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expect(content).to eq(
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[{ type: "text", text: "user1: hello" }, { type: "image_url", image_url: { url: image } }],
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)
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end
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it "can properly map tool calls to mistral format" do
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result = [
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{
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role: "system",
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content:
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"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",
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},
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{ role: "user", content: "user1: This is a message by a user" },
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{ role: "assistant", content: "I'm a previous bot reply, that's why there's no user" },
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{ role: "user", content: "user1: This is a new message by a user" },
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{
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role: "assistant",
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content: "",
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tool_calls: [
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{
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type: "function",
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function: {
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arguments: "{\"location\":\"Sydney\",\"unit\":\"c\"}",
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name: "get_weather",
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},
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id: "tool_id",
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},
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],
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},
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{
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role: "tool",
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tool_call_id: "tool_id",
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content: "\"I'm a tool result\"",
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name: "get_weather",
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},
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]
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expect(context.multi_turn_scenario).to eq(result)
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end
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end
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