basic_agent.py

import os
import logging
import sys
import time

import smolagents

LOG = logging.getLogger(__name__)

SYSTEM_PROMPT = """
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.

The current date is April 30, 2025.

Take the time to plan the steps to reach the solution. Show the steps and then execute the steps.
"""


class BasicAgent:

  def __init__(self):
    print("BasicAgent initializing.")
    # Logs appear to be swallowed.
    LOG.warning("logging BasicAgent initialized.")

    self.manager_model_id = "Qwen/Qwen3-32B"
    self.manager_model = None

    self.code_model_id = "Qwen/Qwen2.5-Coder-32B-Instruct"
    self.code_model = None

    """
    # Handle the special cases
    if self.model_id.lower() == "google":
      self.model_id = "google"

      # Use Google gemini free tier
      GEM_KEY=os.environ["GOOGLE_API_KEY"]
      self.model = smolagents.OpenAIServerModel(
          model_id="gemini-2.0-flash",
          api_base="https://generativelanguage.googleapis.com/v1beta/openai/",
          api_key=GEM_KEY,
          temperature=0.3)
    elif self.model_id.lower() == "local":
      self.model_id = "Qwen/Qwen3-4B-FP8"
      # Run locally.
      self.model = smolagents.TransformersModel(
        model_id=self.model_id,
        max_new_tokens=32000,
        temperature=0.3
        )
     """

    if not self.manager_model:
      self.manager_model = smolagents.HfApiModel(
          max_tokens=32000,
          temperature=0.3,
          model_id=self.manager_model_id,
          custom_role_conversions=None,
      )

    if not self.code_model:
      self.code_model = smolagents.HfApiModel(
          max_tokens=32000,
          temperature=0.3,
          model_id=self.code_model_id,
          custom_role_conversions=None,
      )

    print(f"NEW3: BasicAgent {self.manager_model_id=} {self.code_model_id=}")

    self.math_agent = smolagents.CodeAgent(
        name="date_time_math_agent",
        description="Handle date, time and math caclulations",
        model=self.code_model,
        tools=[],
        max_steps=6,
        verbosity_level=2,
        planning_interval=None,
        additional_authorized_imports=["datetime", "time", "calendar"],
    )

    web_search_tools = [
        smolagents.DuckDuckGoSearchTool(),
        smolagents.VisitWebpageTool(),
        smolagents.FinalAnswerTool()
    ]

    print("BasicAgent making search tool.")
    self.web_search_agent = smolagents.CodeAgent(
        name="web_search_agent",
        description="Search the web",
        model=self.code_model,
        tools=web_search_tools,
        max_steps=6,
        verbosity_level=2,
        planning_interval=None,
        additional_authorized_imports=["duckduckgo_search"],
    )

    wikipedia_search_tools = [
        smolagents.WikipediaSearchTool(),
        smolagents.VisitWebpageTool(),
        smolagents.FinalAnswerTool()
    ]

    self.wikipedia_search_agent = smolagents.CodeAgent(
        name="wikipedia_search_agent",
        description="Best search of wikipedia pages",
        model=self.code_model,
        tools=wikipedia_search_tools,
        max_steps=6,
        verbosity_level=2,
        planning_interval=None,
        additional_authorized_imports=["wikipedia-api"],
    )

    print("BasicAgent making wikipedia search tool.")


    print("BasicAgent making manager.")
    self.manager_agent = smolagents.CodeAgent(
        name="manager_agent",
        description="Manger of other agents",
        tools=[smolagents.FinalAnswerTool()],
        model=self.manager_model,
        add_base_tools=True,
        max_steps=10,
        verbosity_level=2,
        planning_interval=None,
        additional_authorized_imports=["duckduckgo_search", "wikipedia-api"],
        managed_agents=[self.web_search_agent, self.wikipedia_search_agent, self.math_agent])

  def __call__(self, question: str) -> str:
    print(f"NEW Agent received question (first 50 chars): {question[:50]}...")
    prompt = f"{SYSTEM_PROMPT}\n\n{question}"
    answer = self.manager_agent.run(prompt)
    print(f"NEW {answer=}")
    return answer