agent.py

from smolagents import CodeAgent, InferenceClientModel, load_tool, tool #HfApiModel
import datetime
import requests
import pytz
import yaml
from tools.final_answer import FinalAnswerTool
from tools.math_operations import MathOperationsTool
from tools.visit_webpage import VisitWebpageTool
from tools.web_search import WebSearchTool
from tools.wikipedia_search import WikipediaSearchTool
from tools.arxiv_search import ArxivSearchTool
from tools.rag_search import RAGSearchTool
from tools.code_execution import CodeExecutionTool
from tools.document_processing import DocumentProcessingTool
from tools.image_processing import ImageProcessingTool
from tools.web_scraping import WebScrapingTool
#####from tools.youtube_processing import YouTubeVideoProcessorTool

# Instantiate the tools
visit_webpage = VisitWebpageTool()
web_search = WebSearchTool(max_results=5)
math_tools = MathOperationsTool()
final_answer = FinalAnswerTool()
wikipedia_search = WikipediaSearchTool(load_max_docs=2)
arxiv_search = ArxivSearchTool(load_max_docs=3)
rag_search = RAGSearchTool(persist_dir="rag_db")
code_execution = CodeExecutionTool()
document_processing = DocumentProcessingTool()
image_processing = ImageProcessingTool()
web_scraping = WebScrapingTool()
#######youtube_video_processor = YouTubeVideoProcessorTool()

# Define the tools to be used by the CodeAgent
tools = [    
    visit_webpage, 
    web_search, 
    math_tools,
    wikipedia_search, 
    arxiv_search,
    rag_search,
    web_scraping,
    code_execution, 
    document_processing, 
    image_processing,
    #######youtube_video_processor,
    final_answer
]

additional_imports = ["pandas", "numpy", "pymupdf", "PyPDF2", "bs4", "requests", "pytz", "datetime", "PIL.Image", "speech_recognition", "pathlib", "os","youtube_transcript_api"
]

# Load prompt templates
#with open("prompt.yaml", 'r') as stream:
#    prompt_templates = yaml.safe_load(stream)

# Model configuration
model = InferenceClientModel(
    max_tokens=2000,
    temperature=0,
    model_id='meta-llama/Llama-3.3-70B-Instruct',
    ###model_id='Qwen/Qwen2.5-Coder-32B-Instruct',
    provider="hf-inference",
    timeout = 900
)

# CodeAgent definition
gaai_agent = CodeAgent(
    model=model,
    tools = tools, 
    verbosity_level=2,
    max_steps=20,     
    planning_interval=5,  
    additional_authorized_imports = additional_imports
    #######add_base_tools=True
)

#Force the agent to use the tools defined above
gaai_agent.prompt_templates["system_prompt"] = gaai_agent.prompt_templates["system_prompt"] + "\nYour final answer MUST 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."