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REFACTOR: Represent generic prompts with an Object. (#416) 

* REFACTOR: Represent generic prompts with an Object.

* Adds a bit more validation for clarity

* Rewrite bot title prompt and fix quirk handling

---------

Co-authored-by: Sam Saffron <sam.saffron@gmail.com>
This commit is contained in:
Roman Rizzi 2024-01-12 14:36:44 -03:00 committed by GitHub
parent 705ef986b4
commit 04eae76f68
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39 changed files with 880 additions and 1539 deletions
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17
app/models/completion_prompt.rb
View File

@ -33,11 +33,18 @@ class CompletionPrompt < ActiveRecord::Base
input
end
messages_hash.merge(input: <<~TEXT)
<input>
#{user_input}
</input>
TEXT
instructions = [messages_hash[:insts], messages_hash[:post_insts].to_s].join("\n")
prompt = DiscourseAi::Completions::Prompt.new(instructions)
messages_hash[:examples].to_a do |example_pair|
prompt.push(type: :user, content: example_pair.first)
prompt.push(type: :model, content: example_pair.second)
end
prompt.push(type: :user, content: "<input>#{user_input}</input>")
prompt
end
private

48
lib/ai_bot/bot.rb
View File

@ -18,14 +18,19 @@ module DiscourseAi
attr_reader :bot_user
def get_updated_title(conversation_context, post_user)
title_prompt = { insts: <<~TEXT, conversation_context: conversation_context }
You are titlebot. Given a topic, you will figure out a title.
You will never respond with anything but 7 word topic title.
system_insts = <<~TEXT.strip
You are titlebot. Given a topic, you will figure out a title.
You will never respond with anything but 7 word topic title.
TEXT
title_prompt[
:input
] = "Based on our previous conversation, suggest a 7 word title without quoting any of it."
title_prompt =
DiscourseAi::Completions::Prompt.new(system_insts, messages: conversation_context)
title_prompt.push(
type: :user,
content:
"Based on our previous conversation, suggest a 7 word title without quoting any of it.",
)
DiscourseAi::Completions::Llm
.proxy(model)
@ -57,27 +62,30 @@ module DiscourseAi
tool_call_id = tool.tool_call_id
invocation_result_json = invoke_tool(tool, llm, cancel, &update_blk).to_json
invocation_context = {
type: "tool",
name: tool_call_id,
content: invocation_result_json,
}
tool_context = {
type: "tool_call",
name: tool_call_id,
tool_call_message = {
type: :tool_call,
id: tool_call_id,
content: { name: tool.name, arguments: tool.parameters }.to_json,
}
prompt[:conversation_context] ||= []
tool_message = { type: :tool, id: tool_call_id, content: invocation_result_json }
if tool.standalone?
prompt[:conversation_context] = [invocation_context, tool_context]
standalone_conext =
context.dup.merge(
conversation_context: [
context[:conversation_context].last,
tool_call_message,
tool_message,
],
)
prompt = persona.craft_prompt(standalone_conext)
else
prompt[:conversation_context] = [invocation_context, tool_context] +
prompt[:conversation_context]
prompt.push(**tool_call_message)
prompt.push(**tool_message)
end
raw_context << [tool_context[:content], tool_call_id, "tool_call"]
raw_context << [tool_call_message[:content], tool_call_id, "tool_call"]
raw_context << [invocation_result_json, tool_call_id, "tool"]
else
update_blk.call(partial, cancel, nil)
@ -91,7 +99,7 @@ module DiscourseAi
total_completions += 1
# do not allow tools when we are at the end of a chain (total_completions == MAX_COMPLETIONS)
prompt.delete(:tools) if total_completions == MAX_COMPLETIONS
prompt.tools = [] if total_completions == MAX_COMPLETIONS
end
raw_context

19
lib/ai_bot/personas/persona.rb
View File

@ -100,17 +100,18 @@ module DiscourseAi
found.nil? ? match : found.to_s
end
insts = <<~TEXT
#{system_insts}
#{available_tools.map(&:custom_system_message).compact_blank.join("\n")}
prompt =
DiscourseAi::Completions::Prompt.new(
<<~TEXT.strip,
#{system_insts}
#{available_tools.map(&:custom_system_message).compact_blank.join("\n")}
TEXT
messages: context[:conversation_context].to_a,
)
{ insts: insts }.tap do |prompt|
prompt[:tools] = available_tools.map(&:signature) if available_tools
prompt[:conversation_context] = context[:conversation_context] if context[
:conversation_context
]
end
prompt.tools = available_tools.map(&:signature) if available_tools
prompt
end
def find_tool(partial)

33
lib/ai_bot/playground.rb
View File

@ -36,8 +36,9 @@ module DiscourseAi
.pluck(:raw, :username, "post_custom_prompts.custom_prompt")
result = []
first = true
context.each do |raw, username, custom_prompt|
context.reverse_each do |raw, username, custom_prompt|
custom_prompt_translation =
Proc.new do |message|
# We can't keep backwards-compatibility for stored functions.
@ -45,27 +46,29 @@ module DiscourseAi
if message[2] != "function"
custom_context = {
content: message[0],
type: message[2].present? ? message[2] : "assistant",
type: message[2].present? ? message[2].to_sym : :model,
}
custom_context[:name] = message[1] if custom_context[:type] != "assistant"
custom_context[:id] = message[1] if custom_context[:type] != :model
custom_context
result << custom_context
end
end
if custom_prompt.present?
result << {
type: "multi_turn",
content: custom_prompt.reverse_each.map(&custom_prompt_translation).compact,
}
if first
custom_prompt.each(&custom_prompt_translation)
first = false
else
custom_prompt.first(2).each(&custom_prompt_translation)
end
else
context = {
content: raw,
type: (available_bot_usernames.include?(username) ? "assistant" : "user"),
type: (available_bot_usernames.include?(username) ? :model : :user),
}
context[:name] = clean_username(username) if context[:type] == "user"
context[:id] = username if context[:type] == :user
result << context
end
@ -208,16 +211,6 @@ module DiscourseAi
def available_bot_usernames
@bot_usernames ||= DiscourseAi::AiBot::EntryPoint::BOTS.map(&:second)
end
def clean_username(username)
if username.match?(/\0[a-zA-Z0-9_-]{1,64}\z/)
username
else
# not the best in the world, but this is what we have to work with
# if sites enable unicode usernames this can get messy
username.gsub(/[^a-zA-Z0-9_-]/, "_")[0..63]
end
end
end
end
end

4
lib/ai_helper/assistant.rb
View File

@ -36,10 +36,10 @@ module DiscourseAi
def generate_prompt(completion_prompt, input, user, &block)
llm = DiscourseAi::Completions::Llm.proxy(SiteSetting.ai_helper_model)
generic_prompt = completion_prompt.messages_with_input(input)
prompt = completion_prompt.messages_with_input(input)
llm.generate(
generic_prompt,
prompt,
user: user,
temperature: completion_prompt.temperature,
stop_sequences: completion_prompt.stop_sequences,

6
lib/ai_helper/painter.rb
View File

@ -57,10 +57,14 @@ module DiscourseAi
end
def difussion_prompt(text, user)
prompt = { insts: <<~TEXT, input: text }
prompt =
DiscourseAi::Completions::Prompt.new(
<<~TEXT.strip,
Provide me a StableDiffusion prompt to generate an image that illustrates the following post in 40 words or less, be creative.
You'll find the post between <input></input> XML tags.
TEXT
messages: [{ type: :user, content: text, id: user.username }],
)
DiscourseAi::Completions::Llm.proxy(SiteSetting.ai_helper_model).generate(
prompt,

15
lib/automation/report_runner.rb
View File

@ -101,7 +101,7 @@ module DiscourseAi
tokens_per_post: @tokens_per_post,
tokenizer: @llm.tokenizer,
)
input = <<~INPUT
input = <<~INPUT.strip
#{@instructions}
<context>
@ -111,11 +111,14 @@ module DiscourseAi
#{@instructions}
INPUT
prompt = {
insts: "You are a helpful bot specializing in summarizing activity on Discourse sites",
input: input,
final_insts: "Here is the report I generated for you",
}
prompt =
DiscourseAi::Completions::Prompt.new(
"You are a helpful bot specializing in summarizing activity on Discourse sites",
messages: [
{ type: :user, content: input },
{ type: :model, content: "Here is the report I generated for you" },
],
)
result = +""

76
lib/completions/dialects/chat_gpt.rb
View File

@ -22,28 +22,39 @@ module DiscourseAi
end
def translate
open_ai_prompt = [
{ role: "system", content: [prompt[:insts], prompt[:post_insts].to_s].join("\n") },
]
messages = prompt.messages
if prompt[:examples]
prompt[:examples].each do |example_pair|
open_ai_prompt << { role: "user", content: example_pair.first }
open_ai_prompt << { role: "assistant", content: example_pair.second }
# ChatGPT doesn't use an assistant msg to improve long-context responses.
messages.pop if messages.last[:type] == :model
trimmed_messages = trim_messages(messages)
trimmed_messages.map do |msg|
if msg[:type] == :system
{ role: "system", content: msg[:content] }
elsif msg[:type] == :model
{ role: "assistant", content: msg[:content] }
elsif msg[:type] == :tool_call
call_details = JSON.parse(msg[:content], symbolize_names: true)
call_details[:arguments] = call_details[:arguments].to_json
{
role: "assistant",
content: nil,
tool_calls: [{ type: "function", function: call_details, id: msg[:id] }],
}
elsif msg[:type] == :tool
{ role: "tool", tool_call_id: msg[:id], content: msg[:content] }
else
{ role: "user", content: msg[:content] }.tap do |user_msg|
user_msg[:name] = msg[:id] if msg[:id]
end
end
end
open_ai_prompt.concat(conversation_context) if prompt[:conversation_context]
open_ai_prompt << { role: "user", content: prompt[:input] } if prompt[:input]
open_ai_prompt
end
def tools
return if prompt[:tools].blank?
prompt[:tools].map do |t|
prompt.tools.map do |t|
tool = t.dup
tool[:parameters] = t[:parameters]
@ -62,39 +73,6 @@ module DiscourseAi
end
end
def conversation_context
return [] if prompt[:conversation_context].blank?
flattened_context = flatten_context(prompt[:conversation_context])
trimmed_context = trim_context(flattened_context)
trimmed_context.reverse.map do |context|
if context[:type] == "tool_call"
function = JSON.parse(context[:content], symbolize_names: true)
function[:arguments] = function[:arguments].to_json
{
role: "assistant",
content: nil,
tool_calls: [{ type: "function", function: function, id: context[:name] }],
}
else
translated = context.slice(:content)
translated[:role] = context[:type]
if context[:name]
if translated[:role] == "tool"
translated[:tool_call_id] = context[:name]
else
translated[:name] = context[:name]
end
end
translated
end
end
end
def max_prompt_tokens
# provide a buffer of 120 tokens - our function counting is not
# 100% accurate and getting numbers to align exactly is very hard

97
lib/completions/dialects/claude.rb
View File

@ -14,39 +14,50 @@ module DiscourseAi
end
end
def pad_newlines!(prompt)
if prompt[-1..-1] != "\n"
prompt << "\n\n"
elsif prompt[-2..-1] != "\n\n"
prompt << "\n"
end
end
def translate
claude_prompt = uses_system_message? ? +"" : +"Human: "
claude_prompt << prompt[:insts] << "\n"
messages = prompt.messages
claude_prompt << build_tools_prompt if prompt[:tools]
trimmed_messages = trim_messages(messages)
claude_prompt << build_examples(prompt[:examples]) if prompt[:examples]
# Need to include this differently
last_message = trimmed_messages.last[:type] == :assistant ? trimmed_messages.pop : nil
pad_newlines!(claude_prompt)
claude_prompt =
trimmed_messages.reduce(+"") do |memo, msg|
next(memo) if msg[:type] == :tool_call
claude_prompt << conversation_context if prompt[:conversation_context]
if msg[:type] == :system
memo << "Human: " unless uses_system_message?
memo << msg[:content]
if prompt.tools
memo << "\n"
memo << build_tools_prompt
end
elsif msg[:type] == :model
memo << "\n\nAssistant: #{msg[:content]}"
elsif msg[:type] == :tool
memo << "\n\nAssistant:\n"
pad_newlines!(claude_prompt)
memo << (<<~TEXT).strip
<function_results>
<result>
<tool_name>#{msg[:id]}</tool_name>
<json>
#{msg[:content]}
</json>
</result>
</function_results>
TEXT
else
memo << "\n\nHuman: #{msg[:content]}"
end
if uses_system_message? && (prompt[:input] || prompt[:post_insts])
claude_prompt << "Human: "
end
claude_prompt << "#{prompt[:input]}\n" if prompt[:input]
memo
end
claude_prompt << "#{prompt[:post_insts]}\n" if prompt[:post_insts]
claude_prompt << "\n\nAssistant:"
claude_prompt << " #{last_message[:content]}:" if last_message
pad_newlines!(claude_prompt)
claude_prompt << "Assistant: "
claude_prompt << " #{prompt[:final_insts]}:" if prompt[:final_insts]
claude_prompt
end
@ -54,49 +65,11 @@ module DiscourseAi
100_000 # Claude-2.1 has a 200k context window.
end
def conversation_context
return "" if prompt[:conversation_context].blank?
clean_context = prompt[:conversation_context].select { |cc| cc[:type] != "tool_call" }
flattened_context = flatten_context(clean_context)
trimmed_context = trim_context(flattened_context)
trimmed_context
.reverse
.map do |context|
row = context[:type] == "user" ? +"Human:" : +"Assistant:"
if context[:type] == "tool"
row << "\n"
row << (<<~TEXT).strip
<function_results>
<result>
<tool_name>#{context[:name]}</tool_name>
<json>
#{context[:content]}
</json>
</result>
</function_results>
TEXT
else
row << " "
row << context[:content]
end
end
.join("\n\n")
end
private
def uses_system_message?
model_name == "claude-2"
end
def build_examples(examples_arr)
examples_arr.reduce("") do |memo, example|
memo += "<example>\nH: #{example[0]}\nA: #{example[1]}\n</example>\n"
end
end
end
end
end

135
lib/completions/dialects/dialect.rb
View File

@ -31,6 +31,27 @@ module DiscourseAi
def tokenizer
raise NotImplemented
end
def tool_preamble
<<~TEXT
In this environment you have access to a set of tools you can use to answer the user's question.
You may call them like this. Only invoke one function at a time and wait for the results before invoking another function:
<function_calls>
<invoke>
<tool_name>$TOOL_NAME</tool_name>
<parameters>
<$PARAMETER_NAME>$PARAMETER_VALUE</$PARAMETER_NAME>
...
</parameters>
</invoke>
</function_calls>
if a parameter type is an array, return a JSON array of values. For example:
[1,"two",3.0]
Here are the tools available:
TEXT
end
end
def initialize(generic_prompt, model_name, opts: {})
@ -46,7 +67,7 @@ module DiscourseAi
def tools
tools = +""
prompt[:tools].each do |function|
prompt.tools.each do |function|
parameters = +""
if function[:parameters].present?
function[:parameters].each do |parameter|
@ -89,114 +110,60 @@ module DiscourseAi
attr_reader :prompt, :model_name, :opts
def trim_context(conversation_context)
def trim_messages(messages)
prompt_limit = max_prompt_tokens
current_token_count = calculate_token_count_without_context
current_token_count = 0
message_step_size = (max_prompt_tokens / 25).to_i * -1
conversation_context.reduce([]) do |memo, context|
break(memo) if current_token_count >= prompt_limit
reversed_trimmed_msgs =
messages
.reverse
.reduce([]) do |acc, msg|
message_tokens = calculate_message_token(msg)
dupped_context = context.dup
dupped_msg = msg.dup
message_tokens = calculate_message_token(dupped_context)
# Don't trim tool call metadata.
if msg[:type] == :tool_call
current_token_count += message_tokens + per_message_overhead
acc << dupped_msg
next(acc)
end
# Don't trim tool call metadata.
if context[:type] == "tool_call"
current_token_count += calculate_message_token(context) + per_message_overhead
memo << context
next(memo)
end
# Trimming content to make sure we respect token limit.
while dupped_msg[:content].present? &&
message_tokens + current_token_count + per_message_overhead > prompt_limit
dupped_msg[:content] = dupped_msg[:content][0..message_step_size] || ""
message_tokens = calculate_message_token(dupped_msg)
end
# Trimming content to make sure we respect token limit.
while dupped_context[:content].present? &&
message_tokens + current_token_count + per_message_overhead > prompt_limit
dupped_context[:content] = dupped_context[:content][0..message_step_size] || ""
message_tokens = calculate_message_token(dupped_context)
end
next(acc) if dupped_msg[:content].blank?
next(memo) if dupped_context[:content].blank?
current_token_count += message_tokens + per_message_overhead
current_token_count += message_tokens + per_message_overhead
acc << dupped_msg
end
memo << dupped_context
end
end
def calculate_token_count_without_context
tokenizer = self.class.tokenizer
examples_count =
prompt[:examples].to_a.sum do |pair|
tokenizer.size(pair.join) + (per_message_overhead * 2)
end
input_count = tokenizer.size(prompt[:input].to_s) + per_message_overhead
examples_count + input_count +
prompt
.except(:conversation_context, :tools, :examples, :input)
.sum { |_, v| tokenizer.size(v) + per_message_overhead }
reversed_trimmed_msgs.reverse
end
def per_message_overhead
0
end
def calculate_message_token(context)
self.class.tokenizer.size(context[:content].to_s)
end
def self.tool_preamble
<<~TEXT
In this environment you have access to a set of tools you can use to answer the user's question.
You may call them like this. Only invoke one function at a time and wait for the results before invoking another function:
<function_calls>
<invoke>
<tool_name>$TOOL_NAME</tool_name>
<parameters>
<$PARAMETER_NAME>$PARAMETER_VALUE</$PARAMETER_NAME>
...
</parameters>
</invoke>
</function_calls>
if a parameter type is an array, return a JSON array of values. For example:
[1,"two",3.0]
Here are the tools available:
TEXT
def calculate_message_token(msg)
self.class.tokenizer.size(msg[:content].to_s)
end
def build_tools_prompt
return "" if prompt[:tools].blank?
return "" if prompt.tools.blank?
<<~TEXT
(<<~TEXT).strip
#{self.class.tool_preamble}
<tools>
#{tools}</tools>
TEXT
end
def flatten_context(context)
found_first_multi_turn = false
context
.map do |a_context|
if a_context[:type] == "multi_turn"
if found_first_multi_turn
# Only take tool and tool_call_id from subsequent multi-turn interactions.
# Drop assistant responses
a_context[:content].last(2)
else
found_first_multi_turn = true
a_context[:content]
end
else
a_context
end
end
.flatten
end
end
end
end

132
lib/completions/dialects/gemini.rb
View File

@ -18,39 +18,60 @@ module DiscourseAi
# Gemini complains if we don't alternate model/user roles.
noop_model_response = { role: "model", parts: { text: "Ok." } }
gemini_prompt = [
{
role: "user",
parts: {
text: [prompt[:insts], prompt[:post_insts].to_s].join("\n"),
},
},
noop_model_response,
]
messages = prompt.messages
if prompt[:examples]
prompt[:examples].each do |example_pair|
gemini_prompt << { role: "user", parts: { text: example_pair.first } }
gemini_prompt << { role: "model", parts: { text: example_pair.second } }
# Gemini doesn't use an assistant msg to improve long-context responses.
messages.pop if messages.last[:type] == :model
trim_messages(messages).reduce([]) do |memo, msg|
if msg[:type] == :system
memo << { role: "user", parts: { text: msg[:content] } }
memo << noop_model_response.dup
elsif msg[:type] == :model
memo << { role: "model", parts: { text: msg[:content] } }
elsif msg[:type] == :tool_call
call_details = JSON.parse(msg[:content], symbolize_names: true)
memo << {
role: "model",
parts: {
functionCall: {
name: call_details[:name],
args: call_details[:arguments],
},
},
}
elsif msg[:type] == :tool
memo << {
role: "function",
parts: {
functionResponse: {
name: msg[:id],
response: {
content: msg[:content],
},
},
},
}
else
# Gemini quirk. Doesn't accept tool -> user or user -> user msgs.
previous_msg_role = memo.last&.dig(:role)
if previous_msg_role == "user" || previous_msg_role == "tool"
memo << noop_model_response.dup
end
memo << { role: "user", parts: { text: msg[:content] } }
end
memo
end
gemini_prompt.concat(conversation_context) if prompt[:conversation_context]
if prompt[:input]
gemini_prompt << noop_model_response.dup if gemini_prompt.last[:role] == "user"
gemini_prompt << { role: "user", parts: { text: prompt[:input] } }
end
gemini_prompt
end
def tools
return if prompt[:tools].blank?
return if prompt.tools.blank?
translated_tools =
prompt[:tools].map do |t|
prompt.tools.map do |t|
tool = t.slice(:name, :description)
if t[:parameters]
@ -73,48 +94,6 @@ module DiscourseAi
[{ function_declarations: translated_tools }]
end
def conversation_context
return [] if prompt[:conversation_context].blank?
flattened_context = flatten_context(prompt[:conversation_context])
trimmed_context = trim_context(flattened_context)
trimmed_context.reverse.map do |context|
if context[:type] == "tool_call"
function = JSON.parse(context[:content], symbolize_names: true)
{
role: "model",
parts: {
functionCall: {
name: function[:name],
args: function[:arguments],
},
},
}
elsif context[:type] == "tool"
{
role: "function",
parts: {
functionResponse: {
name: context[:name],
response: {
content: context[:content],
},
},
},
}
else
{
role: context[:type] == "assistant" ? "model" : "user",
parts: {
text: context[:content],
},
}
end
end
end
def max_prompt_tokens
16_384 # 50% of model tokens
end
@ -124,25 +103,6 @@ module DiscourseAi
def calculate_message_token(context)
self.class.tokenizer.size(context[:content].to_s + context[:name].to_s)
end
private
def flatten_context(context)
flattened = []
context.each do |c|
if c[:type] == "multi_turn"
# gemini quirk
if c[:content].first[:type] == "tool"
flattend << { type: "assistant", content: "ok." }
end
flattened.concat(c[:content])
else
flattened << c
end
end
flattened
end
end
end
end

62
lib/completions/dialects/llama2_classic.rb
View File

@ -15,58 +15,48 @@ module DiscourseAi
end
def translate
llama2_prompt = +<<~TEXT
[INST]
<<SYS>>
#{prompt[:insts]}
#{build_tools_prompt}#{prompt[:post_insts]}
<</SYS>>
[/INST]
TEXT
messages = prompt.messages
if prompt[:examples]
prompt[:examples].each do |example_pair|
llama2_prompt << "[INST]#{example_pair.first}[/INST]\n"
llama2_prompt << "#{example_pair.second}\n"
end
end
llama2_prompt =
trim_messages(messages).reduce(+"") do |memo, msg|
next(memo) if msg[:type] == :tool_call
llama2_prompt << conversation_context if prompt[:conversation_context].present?
llama2_prompt << "[INST]#{prompt[:input]}[/INST]\n"
end
def conversation_context
return "" if prompt[:conversation_context].blank?
clean_context = prompt[:conversation_context].select { |cc| cc[:type] != "tool_call" }
flattened_context = flatten_context(clean_context)
trimmed_context = trim_context(flattened_context)
trimmed_context
.reverse
.reduce(+"") do |memo, context|
if context[:type] == "tool"
memo << <<~TEXT
if msg[:type] == :system
memo << (<<~TEXT).strip
[INST]
<<SYS>>
#{msg[:content]}
#{build_tools_prompt}
<</SYS>>
[/INST]
TEXT
elsif msg[:type] == :model
memo << "\n#{msg[:content]}"
elsif msg[:type] == :tool
tool = JSON.parse(msg[:content], symbolize_names: true)
memo << "\n[INST]\n"
memo << (<<~TEXT).strip
<function_results>
<result>
<tool_name>#{context[:name]}</tool_name>
<tool_name>#{msg[:id]}</tool_name>
<json>
#{context[:content]}
#{msg[:content]}
</json>
</result>
</function_results>
[/INST]
TEXT
elsif context[:type] == "assistant"
memo << "[INST]" << context[:content] << "[/INST]\n"
else
memo << context[:content] << "\n"
memo << "\n[INST]#{msg[:content]}[/INST]"
end
memo
end
llama2_prompt << "\n" if llama2_prompt.ends_with?("[/INST]")
llama2_prompt
end
def max_prompt_tokens

58
lib/completions/dialects/mixtral.rb
View File

@ -17,56 +17,44 @@ module DiscourseAi
end
def translate
mixtral_prompt = +<<~TEXT
<s> [INST]
#{prompt[:insts]}
#{build_tools_prompt}#{prompt[:post_insts]}
[/INST] Ok </s>
TEXT
messages = prompt.messages
if prompt[:examples]
prompt[:examples].each do |example_pair|
mixtral_prompt << "[INST] #{example_pair.first} [/INST]\n"
mixtral_prompt << "#{example_pair.second}</s>\n"
end
end
mixtral_prompt =
trim_messages(messages).reduce(+"") do |memo, msg|
next(memo) if msg[:type] == :tool_call
mixtral_prompt << conversation_context if prompt[:conversation_context].present?
mixtral_prompt << "[INST] #{prompt[:input]} [/INST]\n"
end
def conversation_context
return "" if prompt[:conversation_context].blank?
clean_context = prompt[:conversation_context].select { |cc| cc[:type] != "tool_call" }
flattened_context = flatten_context(clean_context)
trimmed_context = trim_context(flattened_context)
trimmed_context
.reverse
.reduce(+"") do |memo, context|
memo << "[INST] " if context[:type] == "user"
if context[:type] == "tool"
memo << <<~TEXT
if msg[:type] == :system
memo << (<<~TEXT).strip
<s> [INST]
#{msg[:content]}
#{build_tools_prompt}
[/INST] Ok </s>
TEXT
elsif msg[:type] == :model
memo << "\n#{msg[:content]}</s>"
elsif msg[:type] == :tool
memo << "\n"
memo << (<<~TEXT).strip
<function_results>
<result>
<tool_name>#{context[:name]}</tool_name>
<tool_name>#{msg[:id]}</tool_name>
<json>
#{context[:content]}
#{msg[:content]}
</json>
</result>
</function_results>
TEXT
else
memo << context[:content] << "\n"
memo << "[/INST]" if context[:type] == "user"
memo << "\n[INST]#{msg[:content]}[/INST]"
end
memo
end
mixtral_prompt << "\n" if mixtral_prompt.ends_with?("[/INST]")
mixtral_prompt
end
def max_prompt_tokens

58
lib/completions/dialects/orca_style.rb
View File

@ -15,54 +15,48 @@ module DiscourseAi
end
def translate
orca_style_prompt = +<<~TEXT
### System:
#{prompt[:insts]}
#{build_tools_prompt}#{prompt[:post_insts]}
TEXT
messages = prompt.messages
trimmed_messages = trim_messages(messages)
if prompt[:examples]
prompt[:examples].each do |example_pair|
orca_style_prompt << "### User:\n#{example_pair.first}\n"
orca_style_prompt << "### Assistant:\n#{example_pair.second}\n"
end
end
# Need to include this differently
last_message = trimmed_messages.last[:type] == :assistant ? trimmed_messages.pop : nil
orca_style_prompt << "### User:\n#{prompt[:input]}\n"
llama2_prompt =
trimmed_messages.reduce(+"") do |memo, msg|
next(memo) if msg[:type] == :tool_call
orca_style_prompt << "### Assistant:\n"
end
def conversation_context
return "" if prompt[:conversation_context].blank?
clean_context = prompt[:conversation_context].select { |cc| cc[:type] != "tool_call" }
flattened_context = flatten_context(clean_context)
trimmed_context = trim_context(flattened_context)
trimmed_context
.reverse
.reduce(+"") do |memo, context|
memo << (context[:type] == "user" ? "### User:" : "### Assistant:")
if context[:type] == "tool"
memo << <<~TEXT
if msg[:type] == :system
memo << (<<~TEXT).strip
### System:
#{msg[:content]}
#{build_tools_prompt}
TEXT
elsif msg[:type] == :model
memo << "\n### Assistant:\n#{msg[:content]}"
elsif msg[:type] == :tool
memo << "\n### Assistant:\n"
memo << (<<~TEXT).strip
<function_results>
<result>
<tool_name>#{context[:name]}</tool_name>
<tool_name>#{msg[:id]}</tool_name>
<json>
#{context[:content]}
#{msg[:content]}
</json>
</result>
</function_results>
TEXT
else
memo << " " << context[:content] << "\n"
memo << "\n### User:\n#{msg[:content]}"
end
memo
end
llama2_prompt << "\n### Assistant:\n"
llama2_prompt << "#{last_message[:content]}:" if last_message
llama2_prompt
end
def max_prompt_tokens

43
lib/completions/llm.rb
View File

@ -48,41 +48,7 @@ module DiscourseAi
delegate :tokenizer, to: :dialect_klass
# @param generic_prompt { Hash } - Prompt using our generic format.
# We use the following keys from the hash:
# - insts: String with instructions for the LLM.
# - input: String containing user input
# - examples (optional): Array of arrays with examples of input and responses. Each array is a input/response pair like [[example1, response1], [example2, response2]].
# - post_insts (optional): Additional instructions for the LLM. Some dialects like Claude add these at the end of the prompt.
# - conversation_context (optional): Array of hashes to provide context about an ongoing conversation with the model.
# We translate the array in reverse order, meaning the first element would be the most recent message in the conversation.
# Example:
#
# [
# { type: "user", name: "user1", content: "This is a new message by a user" },
# { type: "assistant", content: "I'm a previous bot reply, that's why there's no user" },
# { type: "tool", name: "tool_id", content: "I'm a tool result" },
# { type: "tool_call_id", name: "tool_id", content: { name: "tool", args: { ...tool_args } } },
# { type: "multi_turn", content: [assistant_reply_from_a_tool, tool_call, tool_call_id] }
# ]
#
# - tools (optional - only functions supported): Array of functions a model can call. Each function is defined as a hash. Example:
#
# {
# name: "get_weather",
# description: "Get the weather in a city",
# parameters: [
# { name: "location", type: "string", description: "the city name", required: true },
# {
# name: "unit",
# type: "string",
# description: "the unit of measurement celcius c or fahrenheit f",
# enum: %w[c f],
# required: true,
# },
# ],
# }
#
# @param generic_prompt { DiscourseAi::Completions::Prompt } - Our generic prompt object
# @param user { User } - User requesting the summary.
#
# @param &on_partial_blk { Block - Optional } - The passed block will get called with the LLM partial response alongside a cancel function.
@ -104,7 +70,7 @@ module DiscourseAi
# </function_calls>
#
def generate(
generic_prompt,
prompt,
temperature: nil,
max_tokens: nil,
stop_sequences: nil,
@ -117,15 +83,14 @@ module DiscourseAi
stop_sequences: stop_sequences,
}
model_params.merge!(generic_prompt.dig(:params, model_name) || {})
model_params.keys.each { |key| model_params.delete(key) if model_params[key].nil? }
dialect = dialect_klass.new(generic_prompt, model_name, opts: model_params)
dialect = dialect_klass.new(prompt, model_name, opts: model_params)
gateway.perform_completion!(dialect, user, model_params, &partial_read_blk)
end
def max_prompt_tokens
dialect_klass.new({}, model_name).max_prompt_tokens
dialect_klass.new(DiscourseAi::Completions::Prompt.new(""), model_name).max_prompt_tokens
end
attr_reader :model_name

75
lib/completions/prompt.rb Normal file
View File

@ -0,0 +1,75 @@
# frozen_string_literal: true
module DiscourseAi
module Completions
class Prompt
INVALID_TURN = Class.new(StandardError)
attr_reader :system_message, :messages
attr_accessor :tools
def initialize(system_msg, messages: [], tools: [])
raise ArgumentError, "messages must be an array" if !messages.is_a?(Array)
raise ArgumentError, "tools must be an array" if !tools.is_a?(Array)
system_message = { type: :system, content: system_msg }
@messages = [system_message].concat(messages)
@messages.each { |message| validate_message(message) }
@messages.each_cons(2) { |last_turn, new_turn| validate_turn(last_turn, new_turn) }
@tools = tools
end
def push(type:, content:, id: nil)
return if type == :system
new_message = { type: type, content: content }
new_message[:id] = type == :user ? clean_username(id) : id if id && type != :model
validate_message(new_message)
validate_turn(messages.last, new_message)
messages << new_message
end
private
def clean_username(username)
if username.match?(/\0[a-zA-Z0-9_-]{1,64}\z/)
username
else
# not the best in the world, but this is what we have to work with
# if sites enable unicode usernames this can get messy
username.gsub(/[^a-zA-Z0-9_-]/, "_")[0..63]
end
end
def validate_message(message)
valid_types = %i[system user model tool tool_call]
if !valid_types.include?(message[:type])
raise ArgumentError, "message type must be one of #{valid_types}"
end
valid_keys = %i[type content id]
if (invalid_keys = message.keys - valid_keys).any?
raise ArgumentError, "message contains invalid keys: #{invalid_keys}"
end
raise ArgumentError, "message content must be a string" if !message[:content].is_a?(String)
end
def validate_turn(last_turn, new_turn)
valid_types = %i[tool tool_call model user]
raise INVALID_TURN if !valid_types.include?(new_turn[:type])
if last_turn[:type] == :system && %i[tool tool_call model].include?(new_turn[:type])
raise INVALID_TURN
end
raise INVALID_TURN if new_turn[:type] == :tool && last_turn[:type] != :tool_call
raise INVALID_TURN if new_turn[:type] == :model && last_turn[:type] == :model
end
end
end
end

10
lib/embeddings/semantic_search.rb
View File

@ -95,19 +95,19 @@ module DiscourseAi
end
def hypothetical_post_from(search_term)
prompt = {
insts: <<~TEXT,
prompt = DiscourseAi::Completions::Prompt.new(<<~TEXT.strip)
You are a content creator for a forum. The forum description is as follows:
#{SiteSetting.title}
#{SiteSetting.site_description}
Put the forum post between <ai></ai> tags.
TEXT
input: <<~TEXT,
prompt.push(type: :user, content: <<~TEXT.strip)
Using this description, write a forum post about the subject inside the <input></input> XML tags:
<input>#{search_term}</input>
TEXT
post_insts: "Put the forum post between <ai></ai> tags.",
}
llm_response =
DiscourseAi::Completions::Llm.proxy(

51
lib/summarization/strategies/fold_content.rb
View File

@ -105,16 +105,14 @@ module DiscourseAi
def summarize_in_chunks(llm, chunks, user, opts)
chunks.map do |chunk|
prompt = summarization_prompt(chunk[:summary], opts)
prompt[:post_insts] = "Don't use more than 400 words for the summary."
chunk[:summary] = llm.generate(prompt, user: user)
chunk[:summary] = llm.generate(prompt, user: user, max_tokens: 300)
chunk
end
end
def concatenate_summaries(llm, summaries, user, &on_partial_blk)
prompt = {}
prompt[:insts] = <<~TEXT
prompt = DiscourseAi::Completions::Prompt.new(<<~TEXT.strip)
You are a summarization bot that effectively concatenates disjoint summaries, creating a cohesive narrative.
The narrative you create is in the form of one or multiple paragraphs.
Your reply MUST BE a single concatenated summary using the summaries I'll provide to you.
@ -123,7 +121,7 @@ module DiscourseAi
You format the response, including links, using Markdown.
TEXT
prompt[:input] = <<~TEXT
prompt.push(type: :user, content: <<~TEXT.strip)
THESE are the summaries, each one separated by a newline, all of them inside <input></input> XML tags:
<input>
@ -151,28 +149,39 @@ module DiscourseAi
For example, a link to the 3rd post in the topic would be [post 3](#{opts[:resource_path]}/3)
TEXT
prompt = { insts: insts, input: <<~TEXT }
#{opts[:content_title].present? ? "The discussion title is: " + opts[:content_title] + ".\n" : ""}
Here are the posts, inside <input></input> XML tags:
<input>
#{input}
</input>
TEXT
prompt = DiscourseAi::Completions::Prompt.new(insts.strip)
if opts[:resource_path]
prompt[:examples] = [
[
"<input>1) user1 said: I love Mondays 2) user2 said: I hate Mondays</input>",
prompt.push(
type: :user,
content: "<input>1) user1 said: I love Mondays 2) user2 said: I hate Mondays</input>",
)
prompt.push(
type: :model,
content:
"Two users are sharing their feelings toward Mondays. [user1](#{opts[:resource_path]}/1) hates them, while [user2](#{opts[:resource_path]}/2) loves them.",
],
[
"<input>3) usuario1: Amo los lunes 6) usuario2: Odio los lunes</input>",
)
prompt.push(
type: :user,
content: "<input>3) usuario1: Amo los lunes 6) usuario2: Odio los lunes</input>",
)
prompt.push(
type: :model,
content:
"Dos usuarios charlan sobre los lunes. [usuario1](#{opts[:resource_path]}/3) dice que los ama, mientras que [usuario2](#{opts[:resource_path]}/2) los odia.",
],
]
)
end
prompt.push(type: :user, content: <<~TEXT.strip)
#{opts[:content_title].present? ? "The discussion title is: " + opts[:content_title] + ".\n" : ""}
Here are the posts, inside <input></input> XML tags:
<input>
#{input}
</input>
TEXT
prompt
end
end

122
spec/lib/completions/dialects/chat_gpt_spec.rb
View File

@ -1,105 +1,30 @@
# frozen_string_literal: true
require_relative "dialect_context"
RSpec.describe DiscourseAi::Completions::Dialects::ChatGpt do
subject(:dialect) { described_class.new(prompt, "gpt-4") }
let(:tool) do
{
name: "get_weather",
description: "Get the weather in a city",
parameters: [
{ name: "location", type: "string", description: "the city name", required: true },
{
name: "unit",
type: "string",
description: "the unit of measurement celcius c or fahrenheit f",
enum: %w[c f],
required: true,
},
],
}
end
let(:prompt) do
{
insts: <<~TEXT,
I want you to act as a title generator for written pieces. I will provide you with a text,
and you will generate five attention-grabbing titles. Please keep the title concise and under 20 words,
and ensure that the meaning is maintained. Replies will utilize the language type of the topic.
TEXT
input: <<~TEXT,
Here is the text, inside <input></input> XML tags:
<input>
To perfect his horror, Caesar, surrounded at the base of the statue by the impatient daggers of his friends,
discovers among the faces and blades that of Marcus Brutus, his protege, perhaps his son, and he no longer
defends himself, but instead exclaims: 'You too, my son!' Shakespeare and Quevedo capture the pathetic cry.
Destiny favors repetitions, variants, symmetries; nineteen centuries later, in the southern province of Buenos Aires,
a gaucho is attacked by other gauchos and, as he falls, recognizes a godson of his and says with gentle rebuke and
slow surprise (these words must be heard, not read): 'But, my friend!' He is killed and does not know that he
dies so that a scene may be repeated.
</input>
TEXT
post_insts:
"Please put the translation between <ai></ai> tags and separate each title with a comma.",
tools: [tool],
}
end
let(:model_name) { "gpt-4" }
let(:context) { DialectContext.new(described_class, model_name) }
describe "#translate" do
it "translates a prompt written in our generic format to the ChatGPT format" do
open_ai_version = [
{ role: "system", content: [prompt[:insts], prompt[:post_insts]].join("\n") },
{ role: "user", content: prompt[:input] },
{ role: "system", content: context.system_insts },
{ role: "user", content: context.simple_user_input },
]
translated = dialect.translate
translated = context.system_user_scenario
expect(translated).to contain_exactly(*open_ai_version)
end
it "include examples in the ChatGPT version" do
prompt[:examples] = [
[
"<input>In the labyrinth of time, a solitary horse, etched in gold by the setting sun, embarked on an infinite journey.</input>",
"<ai>The solitary horse.,The horse etched in gold.,A horse's infinite journey.,A horse lost in time.,A horse's last ride.</ai>",
],
]
open_ai_version = [
{ role: "system", content: [prompt[:insts], prompt[:post_insts]].join("\n") },
{ role: "user", content: prompt[:examples][0][0] },
{ role: "assistant", content: prompt[:examples][0][1] },
{ role: "user", content: prompt[:input] },
]
translated = dialect.translate
expect(translated).to contain_exactly(*open_ai_version)
end
end
describe "#conversation_context" do
let(:context) do
[
{ type: "user", name: "user1", content: "This is a new message by a user" },
{ type: "assistant", content: "I'm a previous bot reply, that's why there's no user" },
{ type: "tool", name: "tool_id", content: "I'm a tool result" },
{
type: "tool_call",
name: "tool_id",
content: { name: "get_weather", arguments: { location: "Sydney", unit: "c" } }.to_json,
},
]
end
it "adds conversation in reverse order (first == newer)" do
prompt[:conversation_context] = context
translated_context = dialect.conversation_context
expect(translated_context).to eq(
it "translates tool_call and tool messages" do
expect(context.multi_turn_scenario).to eq(
[
{ role: "system", content: context.system_insts },
{ role: "user", content: "This is a message by a user", name: "user1" },
{ role: "assistant", content: "I'm a previous bot reply, that's why there's no user" },
{ role: "user", name: "user1", content: "This is a new message by a user" },
{
role: "assistant",
content: nil,
@ -114,21 +39,16 @@ RSpec.describe DiscourseAi::Completions::Dialects::ChatGpt do
},
],
},
{ role: "tool", content: context.third[:content], tool_call_id: context.third[:name] },
{ role: "assistant", content: context.second[:content] },
{ role: "user", content: context.first[:content], name: context.first[:name] },
{ role: "tool", content: "I'm a tool result".to_json, tool_call_id: "tool_id" },
],
)
end
it "trims content if it's getting too long" do
context.third[:content] = context.third[:content] * 1000
translated = context.long_user_input_scenario
prompt[:conversation_context] = context
translated_context = dialect.conversation_context
expect(translated_context.third[:content].length).to be < context.third[:content].length
expect(translated.last[:role]).to eq("user")
expect(translated.last[:content].length).to be < context.long_message_text.length
end
end
@ -136,11 +56,11 @@ RSpec.describe DiscourseAi::Completions::Dialects::ChatGpt do
it "returns a list of available tools" do
open_ai_tool_f = {
function: {
description: tool[:description],
name: tool[:name],
description: context.tools.first[:description],
name: context.tools.first[:name],
parameters: {
properties:
tool[:parameters].reduce({}) do |memo, p|
context.tools.first[:parameters].reduce({}) do |memo, p|
memo[p[:name]] = { description: p[:description], type: p[:type] }
memo[p[:name]][:enum] = p[:enum] if p[:enum]
@ -154,7 +74,7 @@ RSpec.describe DiscourseAi::Completions::Dialects::ChatGpt do
type: "function",
}
expect(subject.tools).to contain_exactly(open_ai_tool_f)
expect(context.dialect_tools).to contain_exactly(open_ai_tool_f)
end
end
end

199
spec/lib/completions/dialects/claude_spec.rb
View File

@ -1,209 +1,64 @@
# frozen_string_literal: true
require_relative "dialect_context"
RSpec.describe DiscourseAi::Completions::Dialects::Claude do
subject(:dialect) { described_class.new(prompt, "claude-2") }
let(:tool) do
{
name: "get_weather",
description: "Get the weather in a city",
parameters: [
{ name: "location", type: "string", description: "the city name", required: true },
{
name: "unit",
type: "string",
description: "the unit of measurement celcius c or fahrenheit f",
enum: %w[c f],
required: true,
},
],
}
end
let(:prompt) do
{
insts: <<~TEXT,
I want you to act as a title generator for written pieces. I will provide you with a text,
and you will generate five attention-grabbing titles. Please keep the title concise and under 20 words,
and ensure that the meaning is maintained. Replies will utilize the language type of the topic.
TEXT
input: <<~TEXT,
Here is the text, inside <input></input> XML tags:
<input>
To perfect his horror, Caesar, surrounded at the base of the statue by the impatient daggers of his friends,
discovers among the faces and blades that of Marcus Brutus, his protege, perhaps his son, and he no longer
defends himself, but instead exclaims: 'You too, my son!' Shakespeare and Quevedo capture the pathetic cry.
Destiny favors repetitions, variants, symmetries; nineteen centuries later, in the southern province of Buenos Aires,
a gaucho is attacked by other gauchos and, as he falls, recognizes a godson of his and says with gentle rebuke and
slow surprise (these words must be heard, not read): 'But, my friend!' He is killed and does not know that he
dies so that a scene may be repeated.
</input>
TEXT
post_insts:
"Please put the translation between <ai></ai> tags and separate each title with a comma.",
}
end
let(:model_name) { "claude-2" }
let(:context) { DialectContext.new(described_class, model_name) }
describe "#translate" do
it "translates a prompt written in our generic format to Claude's format" do
anthropic_version = (<<~TEXT).strip + " "
#{prompt[:insts]}
Human: #{prompt[:input]}
#{prompt[:post_insts]}
Assistant:
TEXT
translated = dialect.translate
expect(translated).to eq(anthropic_version)
end
it "knows how to translate examples to Claude's format" do
prompt[:examples] = [
[
"<input>In the labyrinth of time, a solitary horse, etched in gold by the setting sun, embarked on an infinite journey.</input>",
"<ai>The solitary horse.,The horse etched in gold.,A horse's infinite journey.,A horse lost in time.,A horse's last ride.</ai>",
],
]
anthropic_version = (<<~TEXT).strip + " "
#{prompt[:insts]}
<example>
H: #{prompt[:examples][0][0]}
A: #{prompt[:examples][0][1]}
</example>
Human: #{prompt[:input]}
#{prompt[:post_insts]}
Assistant:
TEXT
translated = dialect.translate
expect(translated).to eq(anthropic_version)
end
it "include tools inside the prompt" do
prompt[:tools] = [tool]
anthropic_version = (<<~TEXT).strip + " "
#{prompt[:insts]}
#{DiscourseAi::Completions::Dialects::Claude.tool_preamble}
anthropic_version = (<<~TEXT).strip
#{context.system_insts}
#{described_class.tool_preamble}
<tools>
#{dialect.tools}</tools>
Human: #{prompt[:input]}
#{prompt[:post_insts]}
#{context.dialect_tools}</tools>
Human: #{context.simple_user_input}
Assistant:
TEXT
translated = dialect.translate
translated = context.system_user_scenario
expect(translated).to eq(anthropic_version)
end
it "includes all the right newlines" do
prompt.clear
prompt.merge!(
{
insts: "You are an artist",
conversation_context: [
{ content: "draw another funny cat", type: "user", name: "sam" },
{ content: "ok", type: "assistant" },
{ content: "draw a funny cat", type: "user", name: "sam" },
],
},
)
it "translates tool messages" do
expected = +(<<~TEXT).strip
#{context.system_insts}
#{described_class.tool_preamble}
<tools>
#{context.dialect_tools}</tools>
expected = (<<~TEXT).strip + " "
You are an artist
Human: This is a message by a user
Human: draw a funny cat
Assistant: I'm a previous bot reply, that's why there's no user
Assistant: ok
Human: This is a new message by a user
Human: draw another funny cat
Assistant:
TEXT
expect(dialect.translate).to eq(expected)
end
end
describe "#conversation_context" do
let(:context) do
[
{ type: "user", name: "user1", content: "This is a new message by a user" },
{ type: "assistant", content: "I'm a previous bot reply, that's why there's no user" },
{ type: "tool", name: "tool_id", content: "I'm a tool result" },
]
end
it "adds conversation in reverse order (first == newer)" do
prompt[:conversation_context] = context
expected = (<<~TEXT).strip
Assistant:
<function_results>
<result>
<tool_name>tool_id</tool_name>
<json>
#{context.last[:content]}
"I'm a tool result"
</json>
</result>
</function_results>
Assistant: #{context.second[:content]}
Human: #{context.first[:content]}
Assistant:
TEXT
translated_context = dialect.conversation_context
expect(translated_context).to eq(expected)
expect(context.multi_turn_scenario).to eq(expected)
end
it "trims content if it's getting too long" do
context.last[:content] = context.last[:content] * 20_000
prompt[:conversation_context] = context
length = 19_000
translated_context = dialect.conversation_context
translated = context.long_user_input_scenario(length: length)
expect(translated_context.length).to be < context.last[:content].length
end
end
describe "#tools" do
it "translates tools to the tool syntax" do
prompt[:tools] = [tool]
translated_tool = <<~TEXT
<tool_description>
<tool_name>get_weather</tool_name>
<description>Get the weather in a city</description>
<parameters>
<parameter>
<name>location</name>
<type>string</type>
<description>the city name</description>
<required>true</required>
</parameter>
<parameter>
<name>unit</name>
<type>string</type>
<description>the unit of measurement celcius c or fahrenheit f</description>
<required>true</required>
<options>c,f</options>
</parameter>
</parameters>
</tool_description>
TEXT
expect(dialect.tools).to eq(translated_tool)
expect(translated.length).to be < context.long_message_text(length: length).length
end
end
end

101
spec/lib/completions/dialects/dialect_context.rb Normal file
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@ -0,0 +1,101 @@
# frozen_string_literal: true
class DialectContext
def initialize(dialect_klass, model_name)
@dialect_klass = dialect_klass
@model_name = model_name
end
def dialect(prompt)
@dialect_klass.new(prompt, @model_name)
end
def prompt
DiscourseAi::Completions::Prompt.new(system_insts, tools: tools)
end
def dialect_tools
dialect(prompt).tools
end
def system_user_scenario
a_prompt = prompt
a_prompt.push(type: :user, content: simple_user_input)
dialect(a_prompt).translate
end
def multi_turn_scenario
context_and_multi_turn = [
{ type: :user, id: "user1", content: "This is a message by a user" },
{ type: :model, content: "I'm a previous bot reply, that's why there's no user" },
{ type: :user, id: "user1", content: "This is a new message by a user" },
{
type: :tool_call,
id: "tool_id",
content: { name: "get_weather", arguments: { location: "Sydney", unit: "c" } }.to_json,
},
{ type: :tool, id: "tool_id", content: "I'm a tool result".to_json },
]
a_prompt = prompt
context_and_multi_turn.each { |msg| a_prompt.push(**msg) }
dialect(a_prompt).translate
end
def long_user_input_scenario(length: 1_000)
long_message = long_message_text(length: length)
a_prompt = prompt
a_prompt.push(type: :user, content: long_message, id: "user1")
dialect(a_prompt).translate
end
def long_message_text(length: 1_000)
"This a message by a user" * length
end
def simple_user_input
<<~TEXT
Here is the text, inside <input></input> XML tags:
<input>
To perfect his horror, Caesar, surrounded at the base of the statue by the impatient daggers of his friends,
discovers among the faces and blades that of Marcus Brutus, his protege, perhaps his son, and he no longer
defends himself, but instead exclaims: 'You too, my son!' Shakespeare and Quevedo capture the pathetic cry.
Destiny favors repetitions, variants, symmetries; nineteen centuries later, in the southern province of Buenos Aires,
a gaucho is attacked by other gauchos and, as he falls, recognizes a godson of his and says with gentle rebuke and
slow surprise (these words must be heard, not read): 'But, my friend!' He is killed and does not know that he
dies so that a scene may be repeated.
</input>
TEXT
end
def system_insts
<<~TEXT
I want you to act as a title generator for written pieces. I will provide you with a text,
and you will generate five attention-grabbing titles. Please keep the title concise and under 20 words,
and ensure that the meaning is maintained. Replies will utilize the language type of the topic.
TEXT
end
def tools
[
{
name: "get_weather",
description: "Get the weather in a city",
parameters: [
{ name: "location", type: "string", description: "the city name", required: true },
{
name: "unit",
type: "string",
description: "the unit of measurement celcius c or fahrenheit f",
enum: %w[c f],
required: true,
},
],
},
]
end
end

252
spec/lib/completions/dialects/gemini_spec.rb
View File

@ -1,240 +1,70 @@
# frozen_string_literal: true
require_relative "dialect_context"
RSpec.describe DiscourseAi::Completions::Dialects::Gemini do
subject(:dialect) { described_class.new(prompt, "gemini-pro") }
let(:tool) do
{
name: "get_weather",
description: "Get the weather in a city",
parameters: [
{ name: "location", type: "string", description: "the city name", required: true },
{
name: "unit",
type: "string",
description: "the unit of measurement celcius c or fahrenheit f",
enum: %w[c f],
required: true,
},
],
}
end
let(:prompt) do
{
insts: <<~TEXT,
I want you to act as a title generator for written pieces. I will provide you with a text,
and you will generate five attention-grabbing titles. Please keep the title concise and under 20 words,
and ensure that the meaning is maintained. Replies will utilize the language type of the topic.
TEXT
input: <<~TEXT,
Here is the text, inside <input></input> XML tags:
<input>
To perfect his horror, Caesar, surrounded at the base of the statue by the impatient daggers of his friends,
discovers among the faces and blades that of Marcus Brutus, his protege, perhaps his son, and he no longer
defends himself, but instead exclaims: 'You too, my son!' Shakespeare and Quevedo capture the pathetic cry.
Destiny favors repetitions, variants, symmetries; nineteen centuries later, in the southern province of Buenos Aires,
a gaucho is attacked by other gauchos and, as he falls, recognizes a godson of his and says with gentle rebuke and
slow surprise (these words must be heard, not read): 'But, my friend!' He is killed and does not know that he
dies so that a scene may be repeated.
</input>
TEXT
post_insts:
"Please put the translation between <ai></ai> tags and separate each title with a comma.",
tools: [tool],
}
end
let(:model_name) { "gemini-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 = [
{ role: "user", parts: { text: [prompt[:insts], prompt[:post_insts]].join("\n") } },
{ role: "user", parts: { text: context.system_insts } },
{ role: "model", parts: { text: "Ok." } },
{ role: "user", parts: { text: prompt[:input] } },
{ role: "user", parts: { text: context.simple_user_input } },
]
translated = dialect.translate
translated = context.system_user_scenario
expect(translated).to eq(gemini_version)
end
it "include examples in the Gemini version" do
prompt[:examples] = [
[
"<input>In the labyrinth of time, a solitary horse, etched in gold by the setting sun, embarked on an infinite journey.</input>",
"<ai>The solitary horse.,The horse etched in gold.,A horse's infinite journey.,A horse lost in time.,A horse's last ride.</ai>",
],
]
gemini_version = [
{ role: "user", parts: { text: [prompt[:insts], prompt[:post_insts]].join("\n") } },
{ role: "model", parts: { text: "Ok." } },
{ role: "user", parts: { text: prompt[:examples][0][0] } },
{ role: "model", parts: { text: prompt[:examples][0][1] } },
{ role: "user", parts: { text: prompt[:input] } },
]
translated = dialect.translate
expect(translated).to contain_exactly(*gemini_version)
end
end
describe "#conversation_context" do
let(:context) do
[
{ type: "user", name: "user1", content: "This is a new message by a user" },
{ type: "assistant", content: "I'm a previous bot reply, that's why there's no user" },
{ type: "tool", name: "tool_id", content: "I'm a tool result" },
]
end
it "adds conversation in reverse order (first == newer)" do
prompt[:conversation_context] = context
translated_context = dialect.conversation_context
expect(translated_context).to eq(
it "translates tool_call and tool messages" do
expect(context.multi_turn_scenario).to eq(
[
{ role: "user", parts: { text: context.system_insts } },
{ role: "model", parts: { text: "Ok." } },
{ role: "user", parts: { text: "This is a message by a user" } },
{
role: "function",
role: "model",
parts: {
functionResponse: {
name: context.last[:name],
response: {
content: context.last[:content],
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: "tool_id",
response: {
content: "I'm a tool result".to_json,
},
},
},
},
{ role: "model", parts: { text: context.second[:content] } },
{ role: "user", parts: { text: context.first[:content] } },
],
)
end
it "trims content if it's getting too long" do
context.last[:content] = context.last[:content] * 1000
translated = context.long_user_input_scenario(length: 5_000)
prompt[:conversation_context] = context
translated_context = dialect.conversation_context
expect(translated_context.last.dig(:parts, :text).length).to be <
context.last[:content].length
end
context "when working with multi-turn contexts" do
context "when the multi-turn is for turn that doesn't chain" do
it "uses the tool_call context" do
prompt[:conversation_context] = [
{
type: "multi_turn",
content: [
{
type: "tool_call",
name: "get_weather",
content: {
name: "get_weather",
arguments: {
location: "Sydney",
unit: "c",
},
}.to_json,
},
{ type: "tool", name: "get_weather", content: "I'm a tool result" },
],
},
]
translated_context = dialect.conversation_context
expected = [
{
role: "function",
parts: {
functionResponse: {
name: "get_weather",
response: {
content: "I'm a tool result",
},
},
},
},
{
role: "model",
parts: {
functionCall: {
name: "get_weather",
args: {
location: "Sydney",
unit: "c",
},
},
},
},
]
expect(translated_context).to eq(expected)
end
end
context "when the multi-turn is from a chainable tool" do
it "uses the assistant context" do
prompt[:conversation_context] = [
{
type: "multi_turn",
content: [
{
type: "tool_call",
name: "get_weather",
content: {
name: "get_weather",
arguments: {
location: "Sydney",
unit: "c",
},
}.to_json,
},
{ type: "tool", name: "get_weather", content: "I'm a tool result" },
{ type: "assistant", content: "I'm a bot reply!" },
],
},
]
translated_context = dialect.conversation_context
expected = [
{ role: "model", parts: { text: "I'm a bot reply!" } },
{
role: "function",
parts: {
functionResponse: {
name: "get_weather",
response: {
content: "I'm a tool result",
},
},
},
},
{
role: "model",
parts: {
functionCall: {
name: "get_weather",
args: {
location: "Sydney",
unit: "c",
},
},
},
},
]
expect(translated_context).to eq(expected)
end
end
expect(translated.last[:role]).to eq("user")
expect(translated.last.dig(:parts, :text).length).to be <
context.long_message_text(length: 5_000).length
end
end
@ -264,7 +94,7 @@ RSpec.describe DiscourseAi::Completions::Dialects::Gemini do
],
}
expect(subject.tools).to contain_exactly(gemini_tools)
expect(context.dialect_tools).to contain_exactly(gemini_tools)
end
end
end

173
spec/lib/completions/dialects/llama2_classic_spec.rb
View File

@ -1,183 +1,62 @@
# frozen_string_literal: true
require_relative "dialect_context"
RSpec.describe DiscourseAi::Completions::Dialects::Llama2Classic do
subject(:dialect) { described_class.new(prompt, "Llama2-chat-hf") }
let(:tool) do
{
name: "get_weather",
description: "Get the weather in a city",
parameters: [
{ name: "location", type: "string", description: "the city name", required: true },
{
name: "unit",
type: "string",
description: "the unit of measurement celcius c or fahrenheit f",
enum: %w[c f],
required: true,
},
],
}
end
let(:prompt) do
{
insts: <<~TEXT,
I want you to act as a title generator for written pieces. I will provide you with a text,
and you will generate five attention-grabbing titles. Please keep the title concise and under 20 words,
and ensure that the meaning is maintained. Replies will utilize the language type of the topic.
TEXT
input: <<~TEXT,
Here is the text, inside <input></input> XML tags:
<input>
To perfect his horror, Caesar, surrounded at the base of the statue by the impatient daggers of his friends,
discovers among the faces and blades that of Marcus Brutus, his protege, perhaps his son, and he no longer
defends himself, but instead exclaims: 'You too, my son!' Shakespeare and Quevedo capture the pathetic cry.
Destiny favors repetitions, variants, symmetries; nineteen centuries later, in the southern province of Buenos Aires,
a gaucho is attacked by other gauchos and, as he falls, recognizes a godson of his and says with gentle rebuke and
slow surprise (these words must be heard, not read): 'But, my friend!' He is killed and does not know that he
dies so that a scene may be repeated.
</input>
TEXT
post_insts:
"Please put the translation between <ai></ai> tags and separate each title with a comma.",
}
end
let(:model_name) { "Llama2-chat-hf" }
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
[INST]
<<SYS>>
#{prompt[:insts]}
#{prompt[:post_insts]}
<</SYS>>
[/INST]
[INST]#{prompt[:input]}[/INST]
TEXT
translated = dialect.translate
expect(translated).to eq(llama2_classic_version)
end
it "includes examples in the translation" do
prompt[:examples] = [
[
"<input>In the labyrinth of time, a solitary horse, etched in gold by the setting sun, embarked on an infinite journey.</input>",
"<ai>The solitary horse.,The horse etched in gold.,A horse's infinite journey.,A horse lost in time.,A horse's last ride.</ai>",
],
]
llama2_classic_version = <<~TEXT
[INST]
<<SYS>>
#{prompt[:insts]}
#{prompt[:post_insts]}
<</SYS>>
[/INST]
[INST]#{prompt[:examples][0][0]}[/INST]
#{prompt[:examples][0][1]}
[INST]#{prompt[:input]}[/INST]
TEXT
translated = dialect.translate
expect(translated).to eq(llama2_classic_version)
end
it "include tools inside the prompt" do
prompt[:tools] = [tool]
llama2_classic_version = <<~TEXT
[INST]
<<SYS>>
#{prompt[:insts]}
#{DiscourseAi::Completions::Dialects::Llama2Classic.tool_preamble}
#{context.system_insts}
#{described_class.tool_preamble}
<tools>
#{dialect.tools}</tools>
#{prompt[:post_insts]}
#{context.dialect_tools}</tools>
<</SYS>>
[/INST]
[INST]#{prompt[:input]}[/INST]
[INST]#{context.simple_user_input}[/INST]
TEXT
translated = dialect.translate
translated = context.system_user_scenario
expect(translated).to eq(llama2_classic_version)
end
end
describe "#conversation_context" do
let(:context) do
[
{ type: "user", name: "user1", content: "This is a new message by a user" },
{ type: "assistant", content: "I'm a previous bot reply, that's why there's no user" },
{ type: "tool", name: "tool_id", content: "I'm a tool result" },
]
end
it "adds conversation in reverse order (first == newer)" do
prompt[:conversation_context] = context
expected = <<~TEXT
it "translates tool messages" do
expected = +(<<~TEXT)
[INST]
<<SYS>>
#{context.system_insts}
#{described_class.tool_preamble}
<tools>
#{context.dialect_tools}</tools>
<</SYS>>
[/INST]
[INST]This is a message by a user[/INST]
I'm a previous bot reply, that's why there's no user
[INST]This is a new message by a user[/INST]
[INST]
<function_results>
<result>
<tool_name>tool_id</tool_name>
<json>
#{context.last[:content]}
"I'm a tool result"
</json>
</result>
</function_results>
[/INST]
[INST]#{context.second[:content]}[/INST]
#{context.first[:content]}
TEXT
translated_context = dialect.conversation_context
expect(translated_context).to eq(expected)
expect(context.multi_turn_scenario).to eq(expected)
end
it "trims content if it's getting too long" do
context.last[:content] = context.last[:content] * 1_000
prompt[:conversation_context] = context
translated = context.long_user_input_scenario
translated_context = dialect.conversation_context
expect(translated_context.length).to be < context.last[:content].length
end
end
describe "#tools" do
it "translates functions to the tool syntax" do
prompt[:tools] = [tool]
translated_tool = <<~TEXT
<tool_description>
<tool_name>get_weather</tool_name>
<description>Get the weather in a city</description>
<parameters>
<parameter>
<name>location</name>
<type>string</type>
<description>the city name</description>
<required>true</required>
</parameter>
<parameter>
<name>unit</name>
<type>string</type>
<description>the unit of measurement celcius c or fahrenheit f</description>
<required>true</required>
<options>c,f</options>
</parameter>
</parameters>
</tool_description>
TEXT
expect(dialect.tools).to eq(translated_tool)
expect(translated.length).to be < context.long_message_text.length
end
end
end

175
spec/lib/completions/dialects/mixtral_spec.rb
View File

@ -1,176 +1,57 @@
# frozen_string_literal: true
require_relative "dialect_context"
RSpec.describe DiscourseAi::Completions::Dialects::Mixtral do
subject(:dialect) { described_class.new(prompt, "mistralai/Mixtral-8x7B-Instruct-v0.1") }
let(:tool) do
{
name: "get_weather",
description: "Get the weather in a city",
parameters: [
{ name: "location", type: "string", description: "the city name", required: true },
{
name: "unit",
type: "string",
description: "the unit of measurement celcius c or fahrenheit f",
enum: %w[c f],
required: true,
},
],
}
end
let(:prompt) do
{
insts: <<~TEXT,
I want you to act as a title generator for written pieces. I will provide you with a text,
and you will generate five attention-grabbing titles. Please keep the title concise and under 20 words,
and ensure that the meaning is maintained. Replies will utilize the language type of the topic.
TEXT
input: <<~TEXT,
Here is the text, inside <input></input> XML tags:
<input>
To perfect his horror, Caesar, surrounded at the base of the statue by the impatient daggers of his friends,
discovers among the faces and blades that of Marcus Brutus, his protege, perhaps his son, and he no longer
defends himself, but instead exclaims: 'You too, my son!' Shakespeare and Quevedo capture the pathetic cry.
Destiny favors repetitions, variants, symmetries; nineteen centuries later, in the southern province of Buenos Aires,
a gaucho is attacked by other gauchos and, as he falls, recognizes a godson of his and says with gentle rebuke and
slow surprise (these words must be heard, not read): 'But, my friend!' He is killed and does not know that he
dies so that a scene may be repeated.
</input>
TEXT
post_insts:
"Please put the translation between <ai></ai> tags and separate each title with a comma.",
}
end
let(:model_name) { "mistralai/Mixtral-8x7B-Instruct-v0.1" }
let(:context) { DialectContext.new(described_class, model_name) }
describe "#translate" do
it "translates a prompt written in our generic format to the Open AI format" do
orca_style_version = <<~TEXT
it "translates a prompt written in our generic format to the Llama2 format" do
llama2_classic_version = <<~TEXT
<s> [INST]
#{prompt[:insts]}
#{prompt[:post_insts]}
[/INST] Ok </s>
[INST] #{prompt[:input]} [/INST]
TEXT
translated = dialect.translate
expect(translated).to eq(orca_style_version)
end
it "include examples in the translated prompt" do
prompt[:examples] = [
[
"<input>In the labyrinth of time, a solitary horse, etched in gold by the setting sun, embarked on an infinite journey.</input>",
"<ai>The solitary horse.,The horse etched in gold.,A horse's infinite journey.,A horse lost in time.,A horse's last ride.</ai>",
],
]
orca_style_version = <<~TEXT
<s> [INST]
#{prompt[:insts]}
#{prompt[:post_insts]}
[/INST] Ok </s>
[INST] #{prompt[:examples][0][0]} [/INST]
#{prompt[:examples][0][1]}</s>
[INST] #{prompt[:input]} [/INST]
TEXT
translated = dialect.translate
expect(translated).to eq(orca_style_version)
end
it "include tools inside the prompt" do
prompt[:tools] = [tool]
orca_style_version = <<~TEXT
<s> [INST]
#{prompt[:insts]}
#{DiscourseAi::Completions::Dialects::Mixtral.tool_preamble}
#{context.system_insts}
#{described_class.tool_preamble}
<tools>
#{dialect.tools}</tools>
#{prompt[:post_insts]}
#{context.dialect_tools}</tools>
[/INST] Ok </s>
[INST] #{prompt[:input]} [/INST]
[INST]#{context.simple_user_input}[/INST]
TEXT
translated = dialect.translate
translated = context.system_user_scenario
expect(translated).to eq(orca_style_version)
end
end
describe "#conversation_context" do
let(:context) do
[
{ type: "user", name: "user1", content: "This is a new message by a user" },
{ type: "assistant", content: "I'm a previous bot reply, that's why there's no user" },
{ type: "tool", name: "tool_id", content: "I'm a tool result" },
]
expect(translated).to eq(llama2_classic_version)
end
it "adds conversation in reverse order (first == newer)" do
prompt[:conversation_context] = context
expected = <<~TEXT
it "translates tool messages" do
expected = +(<<~TEXT).strip
<s> [INST]
#{context.system_insts}
#{described_class.tool_preamble}
<tools>
#{context.dialect_tools}</tools>
[/INST] Ok </s>
[INST]This is a message by a user[/INST]
I'm a previous bot reply, that's why there's no user</s>
[INST]This is a new message by a user[/INST]
<function_results>
<result>
<tool_name>tool_id</tool_name>
<json>
#{context.last[:content]}
"I'm a tool result"
</json>
</result>
</function_results>
#{context.second[:content]}
[INST] #{context.first[:content]}
[/INST]
TEXT
translated_context = dialect.conversation_context
expect(translated_context.strip).to eq(expected.strip)
expect(context.multi_turn_scenario).to eq(expected)
end
it "trims content if it's getting too long" do
context.last[:content] = context.last[:content] * 6_000
prompt[:conversation_context] = context
length = 6_000
translated = context.long_user_input_scenario(length: length)
translated_context = dialect.conversation_context
expect(translated_context.length).to be < context.last[:content].length
end
end
describe "#tools" do
it "translates tools to the tool syntax" do
prompt[:tools] = [tool]
translated_tool = <<~TEXT
<tool_description>
<tool_name>get_weather</tool_name>
<description>Get the weather in a city</description>
<parameters>
<parameter>
<name>location</name>
<type>string</type>
<description>the city name</description>
<required>true</required>
</parameter>
<parameter>
<name>unit</name>
<type>string</type>
<description>the unit of measurement celcius c or fahrenheit f</description>
<required>true</required>
<options>c,f</options>
</parameter>
</parameters>
</tool_description>
TEXT
expect(dialect.tools).to eq(translated_tool)
expect(translated.length).to be < context.long_message_text(length: length).length
end
end
end

180
spec/lib/completions/dialects/orca_style_spec.rb
View File

@ -1,181 +1,61 @@
# frozen_string_literal: true
require_relative "dialect_context"
RSpec.describe DiscourseAi::Completions::Dialects::OrcaStyle do
subject(:dialect) { described_class.new(prompt, "StableBeluga2") }
let(:tool) do
{
name: "get_weather",
description: "Get the weather in a city",
parameters: [
{ name: "location", type: "string", description: "the city name", required: true },
{
name: "unit",
type: "string",
description: "the unit of measurement celcius c or fahrenheit f",
enum: %w[c f],
required: true,
},
],
}
end
let(:prompt) do
{
insts: <<~TEXT,
I want you to act as a title generator for written pieces. I will provide you with a text,
and you will generate five attention-grabbing titles. Please keep the title concise and under 20 words,
and ensure that the meaning is maintained. Replies will utilize the language type of the topic.
TEXT
input: <<~TEXT,
Here is the text, inside <input></input> XML tags:
<input>
To perfect his horror, Caesar, surrounded at the base of the statue by the impatient daggers of his friends,
discovers among the faces and blades that of Marcus Brutus, his protege, perhaps his son, and he no longer
defends himself, but instead exclaims: 'You too, my son!' Shakespeare and Quevedo capture the pathetic cry.
Destiny favors repetitions, variants, symmetries; nineteen centuries later, in the southern province of Buenos Aires,
a gaucho is attacked by other gauchos and, as he falls, recognizes a godson of his and says with gentle rebuke and
slow surprise (these words must be heard, not read): 'But, my friend!' He is killed and does not know that he
dies so that a scene may be repeated.
</input>
TEXT
post_insts:
"Please put the translation between <ai></ai> tags and separate each title with a comma.",
}
end
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 Open AI format" do
orca_style_version = <<~TEXT
it "translates a prompt written in our generic format to the Llama2 format" do
llama2_classic_version = <<~TEXT
### System:
#{prompt[:insts]}
#{prompt[:post_insts]}
### User:
#{prompt[:input]}
### Assistant:
TEXT
translated = dialect.translate
expect(translated).to eq(orca_style_version)
end
it "include examples in the translated prompt" do
prompt[:examples] = [
[
"<input>In the labyrinth of time, a solitary horse, etched in gold by the setting sun, embarked on an infinite journey.</input>",
"<ai>The solitary horse.,The horse etched in gold.,A horse's infinite journey.,A horse lost in time.,A horse's last ride.</ai>",
],
]
orca_style_version = <<~TEXT
### System:
#{prompt[:insts]}
#{prompt[:post_insts]}
### User:
#{prompt[:examples][0][0]}
### Assistant:
#{prompt[:examples][0][1]}
### User:
#{prompt[:input]}
### Assistant:
TEXT
translated = dialect.translate
expect(translated).to eq(orca_style_version)
end
it "include tools inside the prompt" do
prompt[:tools] = [tool]
orca_style_version = <<~TEXT
### System:
#{prompt[:insts]}
#{DiscourseAi::Completions::Dialects::OrcaStyle.tool_preamble}
#{context.system_insts}
#{described_class.tool_preamble}
<tools>
#{dialect.tools}</tools>
#{prompt[:post_insts]}
#{context.dialect_tools}</tools>
### User:
#{prompt[:input]}
#{context.simple_user_input}
### Assistant:
TEXT
translated = dialect.translate
translated = context.system_user_scenario
expect(translated).to eq(orca_style_version)
end
end
describe "#conversation_context" do
let(:context) do
[
{ type: "user", name: "user1", content: "This is a new message by a user" },
{ type: "assistant", content: "I'm a previous bot reply, that's why there's no user" },
{ type: "tool", name: "tool_id", content: "I'm a tool result" },
]
expect(translated).to eq(llama2_classic_version)
end
it "adds conversation in reverse order (first == newer)" do
prompt[:conversation_context] = context
expected = <<~TEXT
it "translates tool messages" do
expected = +(<<~TEXT)
### System:
#{context.system_insts}
#{described_class.tool_preamble}
<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_results>
<result>
<tool_name>tool_id</tool_name>
<json>
#{context.last[:content]}
"I'm a tool result"
</json>
</result>
</function_results>
### Assistant: #{context.second[:content]}
### User: #{context.first[:content]}
### Assistant:
TEXT
translated_context = dialect.conversation_context
expect(translated_context).to eq(expected)
expect(context.multi_turn_scenario).to eq(expected)
end
it "trims content if it's getting too long" do
context.last[:content] = context.last[:content] * 1_000
prompt[:conversation_context] = context
translated = context.long_user_input_scenario
translated_context = dialect.conversation_context
expect(translated_context.length).to be < context.last[:content].length
end
end
describe "#tools" do
it "translates tools to the tool syntax" do
prompt[:tools] = [tool]
translated_tool = <<~TEXT
<tool_description>
<tool_name>get_weather</tool_name>
<description>Get the weather in a city</description>
<parameters>
<parameter>
<name>location</name>
<type>string</type>
<description>the city name</description>
<required>true</required>
</parameter>
<parameter>
<name>unit</name>
<type>string</type>
<description>the unit of measurement celcius c or fahrenheit f</description>
<required>true</required>
<options>c,f</options>
</parameter>
</parameters>
</tool_description>
TEXT
expect(dialect.tools).to eq(translated_tool)
expect(translated.length).to be < context.long_message_text.length
end
end
end

1
spec/lib/completions/endpoints/anthropic_spec.rb
View File

@ -6,7 +6,6 @@ RSpec.describe DiscourseAi::Completions::Endpoints::Anthropic do
subject(:model) { described_class.new(model_name, DiscourseAi::Tokenizer::AnthropicTokenizer) }
let(:model_name) { "claude-2" }
let(:generic_prompt) { { insts: "write 3 words" } }
let(:dialect) { DiscourseAi::Completions::Dialects::Claude.new(generic_prompt, model_name) }
let(:prompt) { dialect.translate }

1
spec/lib/completions/endpoints/aws_bedrock_spec.rb
View File

@ -9,7 +9,6 @@ RSpec.describe DiscourseAi::Completions::Endpoints::AwsBedrock do
let(:model_name) { "claude-2" }
let(:bedrock_name) { "claude-v2:1" }
let(:generic_prompt) { { insts: "write 3 words" } }
let(:dialect) { DiscourseAi::Completions::Dialects::Claude.new(generic_prompt, model_name) }
let(:prompt) { dialect.translate }

29
spec/lib/completions/endpoints/endpoint_examples.rb
View File

@ -34,6 +34,13 @@ RSpec.shared_examples "an endpoint that can communicate with a completion servic
Net.send(:const_set, :HTTP, @original_net_http)
end
let(:generic_prompt) do
DiscourseAi::Completions::Prompt.new(
"You write words",
messages: [{ type: :user, content: "write 3 words" }],
)
end
describe "#perform_completion!" do
fab!(:user) { Fabricate(:user) }
@ -97,16 +104,11 @@ RSpec.shared_examples "an endpoint that can communicate with a completion servic
end
context "with functions" do
let(:generic_prompt) do
{
insts: "You can tell me the weather",
input: "Return the weather in Sydney",
tools: [tool],
}
before do
generic_prompt.tools = [tool]
stub_response(prompt, tool_call, tool_call: true)
end
before { stub_response(prompt, tool_call, tool_call: true) }
it "returns a function invocation" do
completion_response = model.perform_completion!(dialect, user)
@ -153,16 +155,11 @@ RSpec.shared_examples "an endpoint that can communicate with a completion servic
end
context "with functions" do
let(:generic_prompt) do
{
insts: "You can tell me the weather",
input: "Return the weather in Sydney",
tools: [tool],
}
before do
generic_prompt.tools = [tool]
stub_streamed_response(prompt, tool_deltas, tool_call: true)
end
before { stub_streamed_response(prompt, tool_deltas, tool_call: true) }
it "waits for the invocation to finish before calling the partial" do
buffered_partial = ""

9
spec/lib/completions/endpoints/gemini_spec.rb
View File

@ -6,7 +6,6 @@ RSpec.describe DiscourseAi::Completions::Endpoints::Gemini do
subject(:model) { described_class.new(model_name, DiscourseAi::Tokenizer::OpenAiTokenizer) }
let(:model_name) { "gemini-pro" }
let(:generic_prompt) { { insts: "You are a helpful bot.", input: "write 3 words" } }
let(:dialect) { DiscourseAi::Completions::Dialects::Gemini.new(generic_prompt, model_name) }
let(:prompt) { dialect.translate }
@ -38,14 +37,18 @@ RSpec.describe DiscourseAi::Completions::Endpoints::Gemini do
model
.default_options
.merge(contents: prompt)
.tap { |b| b[:tools] = [{ function_declarations: [tool_payload] }] if generic_prompt[:tools] }
.tap do |b|
b[:tools] = [{ function_declarations: [tool_payload] }] if generic_prompt.tools.present?
end
.to_json
end
let(:stream_request_body) do
model
.default_options
.merge(contents: prompt)
.tap { |b| b[:tools] = [{ function_declarations: [tool_payload] }] if generic_prompt[:tools] }
.tap do |b|
b[:tools] = [{ function_declarations: [tool_payload] }] if generic_prompt.tools.present?
end
.to_json
end

1
spec/lib/completions/endpoints/hugging_face_spec.rb
View File

@ -6,7 +6,6 @@ RSpec.describe DiscourseAi::Completions::Endpoints::HuggingFace do
subject(:model) { described_class.new(model_name, DiscourseAi::Tokenizer::Llama2Tokenizer) }
let(:model_name) { "Llama2-*-chat-hf" }
let(:generic_prompt) { { insts: "You are a helpful bot.", input: "write 3 words" } }
let(:dialect) do
DiscourseAi::Completions::Dialects::Llama2Classic.new(generic_prompt, model_name)
end

15
spec/lib/completions/endpoints/open_ai_spec.rb
View File

@ -6,7 +6,6 @@ RSpec.describe DiscourseAi::Completions::Endpoints::OpenAi do
subject(:model) { described_class.new(model_name, DiscourseAi::Tokenizer::OpenAiTokenizer) }
let(:model_name) { "gpt-3.5-turbo" }
let(:generic_prompt) { { insts: "You are a helpful bot.", input: "write 3 words" } }
let(:dialect) { DiscourseAi::Completions::Dialects::ChatGpt.new(generic_prompt, model_name) }
let(:prompt) { dialect.translate }
@ -37,7 +36,7 @@ RSpec.describe DiscourseAi::Completions::Endpoints::OpenAi do
model
.default_options
.merge(messages: prompt)
.tap { |b| b[:tools] = dialect.tools if generic_prompt[:tools] }
.tap { |b| b[:tools] = dialect.tools if generic_prompt.tools.present? }
.to_json
end
@ -45,7 +44,7 @@ RSpec.describe DiscourseAi::Completions::Endpoints::OpenAi do
model
.default_options
.merge(messages: prompt, stream: true)
.tap { |b| b[:tools] = dialect.tools if generic_prompt[:tools] }
.tap { |b| b[:tools] = dialect.tools if generic_prompt.tools.present? }
.to_json
end
@ -183,7 +182,10 @@ data: [D|ONE]
partials = []
llm = DiscourseAi::Completions::Llm.proxy("gpt-3.5-turbo")
llm.generate({ insts: "test" }, user: Discourse.system_user) { |partial| partials << partial }
llm.generate(
DiscourseAi::Completions::Prompt.new("test"),
user: Discourse.system_user,
) { |partial| partials << partial }
expect(partials.join).to eq("test,test2,test3,test4")
end
@ -212,7 +214,10 @@ data: [D|ONE]
partials = []
llm = DiscourseAi::Completions::Llm.proxy("gpt-3.5-turbo")
llm.generate({ insts: "test" }, user: Discourse.system_user) { |partial| partials << partial }
llm.generate(
DiscourseAi::Completions::Prompt.new("test"),
user: Discourse.system_user,
) { |partial| partials << partial }
expect(partials.join).to eq("test,test1,test2,test3,test4")
end

1
spec/lib/completions/endpoints/vllm_spec.rb
View File

@ -6,7 +6,6 @@ RSpec.describe DiscourseAi::Completions::Endpoints::Vllm do
subject(:model) { described_class.new(model_name, DiscourseAi::Tokenizer::MixtralTokenizer) }
let(:model_name) { "mistralai/Mixtral-8x7B-Instruct-v0.1" }
let(:generic_prompt) { { insts: "You are a helpful bot.", input: "write 3 words" } }
let(:dialect) { DiscourseAi::Completions::Dialects::Mixtral.new(generic_prompt, model_name) }
let(:prompt) { dialect.translate }

43
spec/lib/completions/llm_spec.rb
View File

@ -29,15 +29,21 @@ RSpec.describe DiscourseAi::Completions::Llm do
let(:llm) { described_class.proxy("fake") }
let(:prompt) do
DiscourseAi::Completions::Prompt.new(
"You are fake",
messages: [{ type: :user, content: "fake orders" }],
)
end
it "can generate a response" do
response = llm.generate({ input: "fake prompt" }, user: user)
response = llm.generate(prompt, user: user)
expect(response).to be_present
end
it "can generate content via a block" do
partials = []
response =
llm.generate({ input: "fake prompt" }, user: user) { |partial| partials << partial }
response = llm.generate(prompt, user: user) { |partial| partials << partial }
expect(partials.length).to eq(10)
expect(response).to eq(DiscourseAi::Completions::Endpoints::Fake.fake_content)
@ -48,23 +54,22 @@ RSpec.describe DiscourseAi::Completions::Llm do
describe "#generate" do
let(:prompt) do
{
insts: <<~TEXT,
I want you to act as a title generator for written pieces. I will provide you with a text,
and you will generate five attention-grabbing titles. Please keep the title concise and under 20 words,
and ensure that the meaning is maintained. Replies will utilize the language type of the topic.
system_insts = (<<~TEXT).strip
I want you to act as a title generator for written pieces. I will provide you with a text,
and you will generate five attention-grabbing titles. Please keep the title concise and under 20 words,
and ensure that the meaning is maintained. Replies will utilize the language type of the topic.
TEXT
input: <<~TEXT,
Here is the text, inside <input></input> XML tags:
<input>
To perfect his horror, Caesar, surrounded at the base of the statue by the impatient daggers of his friends,
discovers among the faces and blades that of Marcus Brutus, his protege, perhaps his son, and he no longer
defends himself, but instead exclaims: 'You too, my son!' Shakespeare and Quevedo capture the pathetic cry.
</input>
TEXT
post_insts:
"Please put the translation between <ai></ai> tags and separate each title with a comma.",
}
DiscourseAi::Completions::Prompt
.new(system_insts)
.tap { |a_prompt| a_prompt.push(type: :user, content: (<<~TEXT).strip) }
Here is the text, inside <input></input> XML tags:
<input>
To perfect his horror, Caesar, surrounded at the base of the statue by the impatient daggers of his friends,
discovers among the faces and blades that of Marcus Brutus, his protege, perhaps his son, and he no longer
defends himself, but instead exclaims: 'You too, my son!' Shakespeare and Quevedo capture the pathetic cry.
</input>
TEXT
end
let(:canned_response) do

66
spec/lib/completions/prompt_spec.rb Normal file
View File

@ -0,0 +1,66 @@
# frozen_string_literal: true
RSpec.describe DiscourseAi::Completions::Prompt do
subject(:prompt) { described_class.new(system_insts) }
let(:system_insts) { "These are the system instructions." }
let(:user_msg) { "Write something nice" }
let(:username) { "username1" }
describe ".new" do
it "raises for invalid attributes" do
expect { described_class.new("a bot", messages: {}) }.to raise_error(ArgumentError)
expect { described_class.new("a bot", tools: {}) }.to raise_error(ArgumentError)
bad_messages = [{ type: :user, content: "a system message", unknown_attribute: :random }]
expect { described_class.new("a bot", messages: bad_messages) }.to raise_error(ArgumentError)
bad_messages2 = [{ type: :user }]
expect { described_class.new("a bot", messages: bad_messages2) }.to raise_error(ArgumentError)
bad_messages3 = [{ content: "some content associated to no one" }]
expect { described_class.new("a bot", messages: bad_messages3) }.to raise_error(ArgumentError)
end
end
describe "#push" do
describe "turn validations" do
it "validates that tool messages have a previous tool_call message" do
prompt.push(type: :user, content: user_msg, id: username)
prompt.push(type: :model, content: "I'm a model msg")
expect { prompt.push(type: :tool, content: "I'm the tool call results") }.to raise_error(
DiscourseAi::Completions::Prompt::INVALID_TURN,
)
end
it "validates that model messages have either a previous tool or user messages" do
prompt.push(type: :user, content: user_msg, id: username)
prompt.push(type: :model, content: "I'm a model msg")
expect { prompt.push(type: :model, content: "I'm a second model msg") }.to raise_error(
DiscourseAi::Completions::Prompt::INVALID_TURN,
)
end
end
it "system message is always first" do
prompt.push(type: :user, content: user_msg, id: username)
system_message = prompt.messages.first
expect(system_message[:type]).to eq(:system)
expect(system_message[:content]).to eq(system_insts)
end
it "includes the pushed message" do
prompt.push(type: :user, content: user_msg, id: username)
system_message = prompt.messages.last
expect(system_message[:type]).to eq(:user)
expect(system_message[:content]).to eq(user_msg)
expect(system_message[:id]).to eq(username)
end
end
end

14
spec/lib/modules/ai_bot/bot_spec.rb
View File

@ -11,18 +11,6 @@ RSpec.describe DiscourseAi::AiBot::Bot do
let(:bot_user) { User.find(DiscourseAi::AiBot::EntryPoint::GPT4_ID) }
let!(:user) { Fabricate(:user) }
let!(:pm) do
Fabricate(
:private_message_topic,
title: "This is my special PM",
user: user,
topic_allowed_users: [
Fabricate.build(:topic_allowed_user, user: user),
Fabricate.build(:topic_allowed_user, user: bot_user),
],
)
end
let!(:pm_post) { Fabricate(:post, topic: pm, user: user, raw: "Does my site has tags?") }
let(:function_call) { <<~TEXT }
Let me try using a function to get more info:<function_calls>
@ -49,7 +37,7 @@ RSpec.describe DiscourseAi::AiBot::Bot do
HTML
context = {}
context = { conversation_context: [{ type: :user, content: "Does my site has tags?" }] }
DiscourseAi::Completions::Llm.with_prepared_responses(llm_responses) do
bot.reply(context) do |_bot_reply_post, cancel, placeholder|

15
spec/lib/modules/ai_bot/personas/persona_spec.rb
View File

@ -52,14 +52,15 @@ RSpec.describe DiscourseAi::AiBot::Personas::Persona do
freeze_time
rendered = persona.craft_prompt(context)
system_message = rendered.messages.first[:content]
expect(rendered[:insts]).to include(Discourse.base_url)
expect(rendered[:insts]).to include("test site title")
expect(rendered[:insts]).to include("test site description")
expect(rendered[:insts]).to include("joe, jane")
expect(rendered[:insts]).to include(Time.zone.now.to_s)
expect(system_message).to include(Discourse.base_url)
expect(system_message).to include("test site title")
expect(system_message).to include("test site description")
expect(system_message).to include("joe, jane")
expect(system_message).to include(Time.zone.now.to_s)
tools = rendered[:tools]
tools = rendered.tools
expect(tools.find { |t| t[:name] == "search" }).to be_present
expect(tools.find { |t| t[:name] == "tags" }).to be_present
@ -107,7 +108,7 @@ RSpec.describe DiscourseAi::AiBot::Personas::Persona do
instance = custom_persona.new
expect(instance.tools).to eq([DiscourseAi::AiBot::Tools::Image])
expect(instance.craft_prompt(context).dig(:insts)).to eq("you are pun bot\n\n")
expect(instance.craft_prompt(context).messages.first[:content]).to eq("you are pun bot")
# should update
persona.update!(name: "zzzpun_bot2")

56
spec/lib/modules/ai_bot/playground_spec.rb
View File

@ -155,9 +155,9 @@ RSpec.describe DiscourseAi::AiBot::Playground do
expect(context).to contain_exactly(
*[
{ type: "user", name: user.username, content: third_post.raw },
{ type: "assistant", content: second_post.raw },
{ type: "user", name: user.username, content: first_post.raw },
{ type: :user, id: user.username, content: third_post.raw },
{ type: :model, content: second_post.raw },
{ type: :user, id: user.username, content: first_post.raw },
],
)
end
@ -169,8 +169,8 @@ RSpec.describe DiscourseAi::AiBot::Playground do
expect(context).to contain_exactly(
*[
{ type: "user", name: user.username, content: third_post.raw },
{ type: "assistant", content: second_post.raw },
{ type: :user, id: user.username, content: third_post.raw },
{ type: :model, content: second_post.raw },
],
)
end
@ -197,16 +197,42 @@ RSpec.describe DiscourseAi::AiBot::Playground do
expect(context).to contain_exactly(
*[
{ type: "user", name: user.username, content: third_post.raw },
{
type: "multi_turn",
content: [
{ type: "assistant", content: custom_prompt.third.first },
{ type: "tool_call", content: custom_prompt.second.first, name: "time" },
{ type: "tool", name: "time", content: custom_prompt.first.first },
],
},
{ type: "user", name: user.username, content: first_post.raw },
{ type: :user, id: user.username, content: third_post.raw },
{ type: :model, content: custom_prompt.third.first },
{ type: :tool_call, content: custom_prompt.second.first, id: "time" },
{ type: :tool, id: "time", content: custom_prompt.first.first },
{ type: :user, id: user.username, content: first_post.raw },
],
)
end
it "include replies generated from tools only once" do
custom_prompt = [
[
{ args: { timezone: "Buenos Aires" }, time: "2023-12-14 17:24:00 -0300" }.to_json,
"time",
"tool",
],
[
{ name: "time", arguments: { name: "time", timezone: "Buenos Aires" } }.to_json,
"time",
"tool_call",
],
["I replied this thanks to the time command", bot_user.username],
]
PostCustomPrompt.create!(post: second_post, custom_prompt: custom_prompt)
PostCustomPrompt.create!(post: first_post, custom_prompt: custom_prompt)
context = playground.conversation_context(third_post)
expect(context).to contain_exactly(
*[
{ type: :user, id: user.username, content: third_post.raw },
{ type: :model, content: custom_prompt.third.first },
{ type: :tool_call, content: custom_prompt.second.first, id: "time" },
{ type: :tool, id: "time", content: custom_prompt.first.first },
{ type: :tool_call, content: custom_prompt.second.first, id: "time" },
{ type: :tool, id: "time", content: custom_prompt.first.first },
],
)
end

19
spec/models/completion_prompt_spec.rb
View File

@ -26,18 +26,16 @@ RSpec.describe CompletionPrompt do
let(:custom_prompt) { described_class.find(described_class::CUSTOM_PROMPT) }
it "wraps the user input with <input> XML tags and adds a custom instruction if given" do
expected = <<~TEXT
<input>
Translate to Turkish:
#{user_input}
</input>
expected = <<~TEXT.strip
<input>Translate to Turkish:
#{user_input}</input>
TEXT
custom_prompt.custom_instruction = "Translate to Turkish"
prompt = custom_prompt.messages_with_input(user_input)
expect(prompt[:input]).to eq(expected)
expect(prompt.messages.last[:content]).to eq(expected)
end
end
@ -45,16 +43,13 @@ RSpec.describe CompletionPrompt do
let(:title_prompt) { described_class.find(described_class::GENERATE_TITLES) }
it "wraps user input with <input> XML tags" do
expected = <<~TEXT
<input>
#{user_input}
</input>
TEXT
expected = "<input>#{user_input}</input>"
title_prompt.custom_instruction = "Translate to Turkish"
prompt = title_prompt.messages_with_input(user_input)
expect(prompt[:input]).to eq(expected)
expect(prompt.messages.last[:content]).to eq(expected)
end
end
end

8
spec/requests/ai_helper/assistant_controller_spec.rb
View File

@ -85,11 +85,9 @@ RSpec.describe DiscourseAi::AiHelper::AssistantController do
expected_diff =
"<div class=\"inline-diff\"><p><ins>Un </ins><ins>usuario </ins><ins>escribio </ins><ins>esto</ins><del>A </del><del>user </del><del>wrote </del><del>this</del></p></div>"
expected_input = <<~TEXT
<input>
Translate to Spanish:
A user wrote this
</input>
expected_input = <<~TEXT.strip
<input>Translate to Spanish:
A user wrote this</input>
TEXT
DiscourseAi::Completions::Llm.with_prepared_responses([translated_text]) do |spy|