app.py

from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel, load_tool, tool
import datetime
import pytz
import yaml
from tools.final_answer import FinalAnswerTool
from tools.visit_webpage import VisitWebpageTool
from tools.web_search import DuckDuckGoSearchTool
from Gradio_UI import GradioUI
import os
from openinference.instrumentation.smolagents import SmolagentsInstrumentor
from langfuse import get_client
from dotenv import load_dotenv
load_dotenv()

SERPAPI_KEY = os.getenv("SERPAPI_KEY")

langfuse = get_client()
 
# Verify connection
if langfuse.auth_check():
    print("Langfuse client is authenticated and ready!")
else:
    print("Authentication failed. Please check your credentials and host.")

# Try to instrument with SmolagentsInstrumentor, but handle compatibility issues gracefully
try:
    SmolagentsInstrumentor().instrument()
    print("✅ SmolagentsInstrumentor successfully initialized!")
except Exception as e:
    print(f"⚠️ SmolagentsInstrumentor failed: {e}")
    print("📊 Continuing with Langfuse-only tracking...")

    

@tool
def youtube_search(query: str, max_results: int = 5) -> str:
    """A tool that searches YouTube and returns video titles and URLs.
    
    Args:
        query: The search query string for YouTube
        max_results: Maximum number of video results to return (default: 5)
    
    Returns:
        A formatted string containing video titles and URLs, or an error message if the search fails
    """
    import requests
    
    try:
        # Replace with your actual SerpAPI key or set it as an environment variable
        api_key = SERPAPI_KEY  # Add your SerpAPI key here
        url = "https://serpapi.com/search.json"
        params = {
            "engine": "youtube",
            "search_query": query,
            "api_key": api_key
        }
        
        response = requests.get(url, params=params)
        response.raise_for_status()  # Raise an exception for bad status codes
        data = response.json()
        
        # Extract video results
        videos = data.get("video_results", [])[:max_results]
        if not videos:
            return "No results found for the query."
        
        # Format the output
        result = "YouTube Search Results:\n"
        for i, video in enumerate(videos, 1):
            title = video.get("title", "No title")
            link = video.get("link", "No URL")
            result += f"{i}. {title}\n   URL: {link}\n"
        
        return result
    
    except requests.RequestException as e:
        return f"Error during YouTube search: {str(e)}"
    except Exception as e:
        return f"Unexpected error: {str(e)}"

@tool
def get_current_time_in_timezone(timezone: str) -> str:
    """A tool that fetches the current local time in a specified timezone.
    Args:
        timezone: A string representing a valid timezone (e.g., 'America/New_York').
    """
    try:
        # Create timezone object
        tz = pytz.timezone(timezone)
        # Get current time in that timezone
        local_time = datetime.datetime.now(tz).strftime("%Y-%m-%d %H:%M:%S")
        return f"The current local time in {timezone} is: {local_time}"
    except Exception as e:
        return f"Error fetching time for timezone '{timezone}': {str(e)}"




final_answer = FinalAnswerTool()

# If the agent does not answer, the model is overloaded, please use another model or the following Hugging Face Endpoint that also contains qwen2.5 coder:
# model_id='https://pflgm2locj2t89co.us-east-1.aws.endpoints.huggingface.cloud' 

model = HfApiModel(
max_tokens=2096,
temperature=0.5,
model_id='Qwen/Qwen2.5-Coder-32B-Instruct',# it is possible that this model may be overloaded
custom_role_conversions=None,
)


# Import tool from Hub
image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True)

with open("prompts.yaml", 'r') as stream:
    prompt_templates = yaml.safe_load(stream)
    
agent = CodeAgent(
    model=model,
    tools=[get_current_time_in_timezone, youtube_search, DuckDuckGoSearchTool(), VisitWebpageTool(), final_answer], ## add your tools here (don't remove final answer)
    max_steps=6,
    verbosity_level=1,
    grammar=None,
    planning_interval=None,
    name=None,
    description=None,
    prompt_templates=prompt_templates
)


GradioUI(agent).launch()