discourse-ai/spec/lib/modules/ai_bot/anthropic_bot_spec.rb

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# frozen_string_literal: true
module ::DiscourseAi
module AiBot
describe AnthropicBot do
def bot_user
User.find(EntryPoint::CLAUDE_V2_ID)
end
before do
SiteSetting.ai_bot_enabled_chat_bots = "claude-2"
SiteSetting.ai_bot_enabled = true
end
let(:bot) { described_class.new(bot_user) }
fab!(:post)
describe "system message" do
it "includes the full command framework" do
FEATURE: UI to update ai personas on admin page (#290) Introduces a UI to manage customizable personas (admin only feature) Part of the change was some extensive internal refactoring: - AIBot now has a persona set in the constructor, once set it never changes - Command now takes in bot as a constructor param, so it has the correct persona and is not generating AIBot objects on the fly - Added a .prettierignore file, due to the way ALE is configured in nvim it is a pre-req for prettier to work - Adds a bunch of validations on the AIPersona model, system personas (artist/creative etc...) are all seeded. We now ensure - name uniqueness, and only allow certain properties to be touched for system personas. - (JS note) the client side design takes advantage of nested routes, the parent route for personas gets all the personas via this.store.findAll("ai-persona") then child routes simply reach into this model to find a particular persona. - (JS note) data is sideloaded into the ai-persona model the meta property supplied from the controller, resultSetMeta - This removes ai_bot_enabled_personas and ai_bot_enabled_chat_commands, both should be controlled from the UI on a per persona basis - Fixes a long standing bug in token accounting ... we were doing to_json.length instead of to_json.to_s.length - Amended it so {commands} are always inserted at the end unconditionally, no need to add it to the template of the system message as it just confuses things - Adds a concept of required_commands to stock personas, these are commands that must be configured for this stock persona to show up. - Refactored tests so we stop requiring inference_stubs, it was very confusing to need it, added to plugin.rb for now which at least is clearer - Migrates the persona selector to gjs --------- Co-authored-by: Joffrey JAFFEUX <j.jaffeux@gmail.com> Co-authored-by: Martin Brennan <martin@discourse.org>
2023-11-21 00:56:43 -05:00
prompt = bot.system_prompt(post, allow_commands: true)
expect(prompt).to include("read")
expect(prompt).to include("search_query")
end
end
it "does not include half parsed function calls in reply" do
completion1 = "<function"
completion2 = <<~REPLY
_calls>
<invoke>
<tool_name>search</tool_name>
<parameters>
<search_query>hello world</search_query>
</parameters>
</invoke>
</function_calls>
junk
REPLY
completion1 = { completion: completion1 }.to_json
completion2 = { completion: completion2 }.to_json
completion3 = { completion: "<func" }.to_json
request_number = 0
last_body = nil
stub_request(:post, "https://api.anthropic.com/v1/complete").with(
body:
lambda do |body|
last_body = body
request_number == 2
end,
).to_return(status: 200, body: lambda { |request| +"data: #{completion3}" })
stub_request(:post, "https://api.anthropic.com/v1/complete").with(
body:
lambda do |body|
request_number += 1
request_number == 1
end,
).to_return(
status: 200,
body: lambda { |request| +"data: #{completion1}\ndata: #{completion2}" },
)
bot.reply_to(post)
post.topic.reload
raw = post.topic.ordered_posts.last.raw
prompt = JSON.parse(last_body)["prompt"]
# function call is bundled into Assitant prompt
expect(prompt.split("Human:").length).to eq(2)
# this should be stripped
expect(prompt).not_to include("junk")
expect(raw).to end_with("<func")
# leading <function_call> should be stripped
expect(raw).to start_with("\n\n<details")
end
it "does not include Assistant: in front of the system prompt" do
prompt = nil
stub_request(:post, "https://api.anthropic.com/v1/complete").with(
body:
lambda do |body|
json = JSON.parse(body)
prompt = json["prompt"]
true
end,
).to_return(
status: 200,
body: lambda { |request| +"data: " << { completion: "Hello World" }.to_json },
)
bot.reply_to(post)
expect(prompt).not_to be_nil
expect(prompt).not_to start_with("Assistant:")
end
describe "parsing a reply prompt" do
it "can correctly predict that a completion needs to be cancelled" do
functions = DiscourseAi::AiBot::Bot::FunctionCalls.new
# note anthropic API has a silly leading space, we need to make sure we can handle that
prompt = +<<~REPLY.strip
<function_calls>
<invoke>
<tool_name>search</tool_name>
<parameters>
<search_query>hello world</search_query>
<random_stuff>77</random_stuff>
</parameters>
</invoke>
</function_calls
REPLY
bot.populate_functions(
partial: nil,
reply: prompt,
functions: functions,
done: false,
current_delta: "",
)
expect(functions.found?).to eq(true)
expect(functions.cancel_completion?).to eq(false)
prompt << ">"
bot.populate_functions(
partial: nil,
reply: prompt,
functions: functions,
done: true,
current_delta: "",
)
expect(functions.found?).to eq(true)
expect(functions.to_a.length).to eq(1)
expect(functions.to_a).to eq(
[{ name: "search", arguments: "{\"search_query\":\"hello world\"}" }],
)
end
end
describe "#update_with_delta" do
describe "get_delta" do
it "can properly remove first leading space" do
context = {}
reply = +""
reply << bot.get_delta({ completion: " Hello" }, context)
reply << bot.get_delta({ completion: " World" }, context)
expect(reply).to eq("Hello World")
end
it "can properly remove Assistant prefix" do
context = {}
reply = +""
reply << bot.get_delta({ completion: "Hello " }, context)
expect(reply).to eq("Hello ")
reply << bot.get_delta({ completion: "world" }, context)
expect(reply).to eq("Hello world")
end
end
end
end
end
end