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import os
from typing import Optional
from smolagents import LiteLLMModel, CodeAgent, DuckDuckGoSearchTool, PythonInterpreterTool, VisitWebpageTool
from agentcourse_unit4.tools.audio_transcriber import AudioTranscriberTool
from agentcourse_unit4.tools.chess_board_recognizer import ChessBoardRecognizerTool
from agentcourse_unit4.tools.chess_predictor import ChessPredictorTool
from agentcourse_unit4.tools.csv_reader import CsvReaderTool
from agentcourse_unit4.tools.excel_reader import ExcelReaderTool
from agentcourse_unit4.tools.file_downloader import FileDownloaderTool
from agentcourse_unit4.tools.image_describer import ImageDescriberTool
from agentcourse_unit4.tools.image_text_extractor import ImageTextExtractorTool
from agentcourse_unit4.tools.pdf_reader import PdfReaderTool
from agentcourse_unit4.tools.py_code_interpreter import PyCodeInterpreterTool
from agentcourse_unit4.tools.youtube_transcriber import YoutubeTranscriberTool
class BasicAgent:
def __init__(self):
self.model = LiteLLMModel(
# model_id="gemini/gemini-2.0-flash",
model_id="gemini/gemini-2.5-flash-preview-04-17",
api_key=os.getenv("GOOGLE_API_KEY"),
max_tokens=8196,
temperature=0.9
)
self.basic_agent = CodeAgent(
name="basic_agent",
description="Basic code agent",
tools=[
PythonInterpreterTool(),
DuckDuckGoSearchTool(max_results=5),
VisitWebpageTool(max_output_length=1_000_000),
FileDownloaderTool(),
ExcelReaderTool(),
CsvReaderTool(),
PdfReaderTool(),
PyCodeInterpreterTool(),
YoutubeTranscriberTool(),
AudioTranscriberTool(),
ChessBoardRecognizerTool(),
ChessPredictorTool(),
ImageDescriberTool(),
ImageTextExtractorTool()
],
model=self.model,
add_base_tools=False,
additional_authorized_imports=["pandas", "numpy", "datetime", "json", "csv"],
planning_interval=None,
verbosity_level=1,
max_steps=5,
max_print_outputs_length=1_000_000
)
print("==> Agent initialized.")
def run(self, question: str, file_path: Optional[str] = None) -> str:
"""
Process the incoming question and then return the answer.
Args:
question: The question or task
file_path: Optional path to a file associated with the question or task
Returns:
The final answer to the question
"""
associated_file_prompt = f"\nAssociated file at path: {file_path}\n\nReading file content by proper tool is mandatory." if file_path else ''
prompt = f"""
Question:
\"{question}\"
{associated_file_prompt}
Remember that you answer to the question from GAIA benchmark. It requires short, exact and precise answer.
Don't include: thinking, explanations, steps, reasoning, intermediate or additional text.
Finish your answer with 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.
For instance, if question is "What is the capital of Spain?", respond with "Madrid".
It is exact and expected answer.
"""
return self.basic_agent.run(prompt)
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