from typing import List from pydantic import BaseModel, Field class PromptListTool: class Valves(BaseModel): priority: int = Field(default=20, description="Priority level for tool execution.") class UserValves(BaseModel): max_prompts: int = Field(default=10, description="Maximum number of prompts to display.") def __init__(self): self.valves = self.Valves() self.user_valves = self.UserValves() self.prompts = [ "/economic-growth-and-expansion - Economic Growth and Expansion", "/environmental-milestones - Environmental Milestones", "/foundation-and-early-development - Foundation and Early Development", "/thaibev-history-article - Article on ThaiBev's History", "/community-commitment-deep-dive - Community Commitment Deep Dive", "/governance-and-ethical-business-practices - Governance and Ethical Business Practices", "/innovation-and-future-goals - Innovation and Future Goals", "/introduction-of-sustainability-initiatives - Introduction of Sustainability Initiatives", ] async def run(self, __user__: dict = {}, __event_emitter__=None) -> str: """ This tool returns a list of predefined prompts available for users. It supports configurable priority and max number of prompts via valves. :param __user__: Dictionary containing user details :param __event_emitter__: Event emitter to send status or messages to the chat :return: String containing the list of predefined prompt descriptions """ if __event_emitter__: await __event_emitter__( { "type": "status", "data": {"description": "Fetching the list of prompts...", "done": False} } ) max_prompts = self.user_valves.max_prompts prompt_list = self.prompts[:max_prompts] if __event_emitter__: await __event_emitter__( { "type": "status", "data": {"description": "Prompt list fetched.", "done": True} } ) result = "Available prompts:\n" + "\n".join(prompt_list) if __event_emitter__: await __event_emitter__( { "type": "message", "data": {"content": result} } ) return result class Tools: prompt_list = PromptListTool()