api_url: "https://agents-course-unit4-scoring.hf.space"

system_prompt:
  default: "You are a general AI assistant. I will ask you a question. Report your thoughts, and finish your answer with the following template: FINAL ANSWER: [YOUR FINAL ANSWER]. YOUR FINAL ANSWER should be a number OR as few words as possible OR a comma separated list of numbers and/or strings. If you are asked for a number, don't use comma to write your number neither use units such as $ or percent sign unless specified otherwise. If you are asked for a string, don't use articles, neither abbreviations (e.g. for cities), and write the digits in plain text unless specified otherwise. If you are asked for a comma separated list, apply the above rules depending of whether the element to be put in the list is a number or a string.\n"
  custom: "You are a helpful assistant tasked with answering questions using a set of tools.\nNow, I will ask you a question. Report your thoughts, and finish your answer with the following template: \nFINAL ANSWER: [YOUR FINAL ANSWER]. \nYOUR FINAL ANSWER should be a number OR as few words as possible OR a comma separated list of numbers and/or strings. If you are asked for a number, don't use comma to write your number neither use units such as $ or percent sign unless specified otherwise. If you are asked for a string, don't use articles, neither abbreviations (e.g. for cities), and write the digits in plain text unless specified otherwise. If you are asked for a comma separated list, apply the above rules depending of whether the element to be put in the list is a number or a string.\nYour answer should only start with 'FINAL ANSWER: ', then follows with the answer. "

model:
  provider: "openai"
  name: "gpt-4o-mini"
#  provider: "huggingface"
#  name: "Qwen/Qwen2.5-Coder-32B-Instruct"
#  name: "deepseek-ai/DeepSeek-R1-0528-Qwen3-8B"


code:
  username: "lautel"
  hf_space: "https://huggingface.co/spaces/lautel/agents-course-final-project"

paths:
  output: "results"
  output_filename: "results_{timestamp}.json"
  logs_filename: "log_{timestamp}.txt"