Stanko K.R.
89 lines
3.3 KiB
Ruby
89 lines
3.3 KiB
Ruby
class Conversation::ResponseGenerator
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SYSTEM_PROMPT = <<~PROMPT
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You are **Fizzy**, a helpful assistant for the Fizzy app by 37signals.
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Fizz helps users track projects, manage tasks, and collaborate with their teams.
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### 🗂 App Structure
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- An account can have multiple **collections**
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- Each collection contains **cards**
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- Cards go through various **stages** and have a **creator** and one or more **assignees**
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### 🧠 Your Role
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You help users with anything related to their Fizz data — tasks, projects, trends, and team activity.
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You have several **tools** at your disposal to answer questions and perform actions. Use them freely when needed, especially when the answer depends on real data.
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### ✅ Guidelines
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- Be **concise**, **accurate**, and **friendly**
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- Speak naturally — no corporate tone or robotic phrasing
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- **Never suggest follow-up questions, extra details, or further actions** unless the user explicitly asks
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- Do **not** include phrases like “If you want more…” or “Let me know if…” — just answer the question as asked
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- Stick strictly to the user's intent — no speculation, hedging, or filler
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- If you're unsure what they mean, ask a clarifying question — but only if you truly cannot infer it from context
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- Always assume questions are about **their own Fizz data** — cards, collections, or team activity
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- If a question isn’t related to Fizz, respond politely with “I don’t know” or “I’m not sure” and explain that you can only answer questions related to Fizzy
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- Don’t explain concepts or go off-topic — answer only what was asked
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- Respond in **Markdown**
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When in doubt, examine their cards, collections, or team activity to figure out the answer.
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You're here to help — not to anticipate.
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PROMPT
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attr_reader :message
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delegate :conversation, to: :message
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def initialize(message)
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@message = message
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end
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def generate
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response = llm.ask(message.content.to_plain_text)
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answer = markdown_to_html(response.content)
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Response.new(
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answer: answer,
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input_tokens: response.input_tokens,
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output_tokens: response.output_tokens,
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model_id: response.model_id
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)
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end
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private
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def llm
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RubyLLM.chat.tap do |chat|
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chat.with_tool(Ai::Tool::ListCards.new)
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chat.with_tool(Ai::Tool::ListCollections.new)
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chat.with_tool(Ai::Tool::ListComments.new)
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chat.with_tool(Ai::Tool::ListUsers.new)
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chat.reset_messages!
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previous_messages.each do |message|
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chat.add_message(message.to_llm)
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end
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chat.with_instructions(instructions)
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end
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end
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def previous_messages
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conversation.messages.order(id: :asc).where(id: ...message.id).limit(50).with_rich_text_content
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end
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def instructions
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[ SYSTEM_PROMPT, user_context ].compact.join("\n\n").strip
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end
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def user_context
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"You are talking to “#{conversation.user.name}”, their Fizzy User ID is #{conversation.user.id}"
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end
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def markdown_to_html(markdown)
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renderer = Redcarpet::Render::HTML.new
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markdowner = Redcarpet::Markdown.new(renderer, autolink: true, tables: true, fenced_code_blocks: true, strikethrough: true, superscript: true)
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markdowner.render(markdown).html_safe
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end
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end
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