app.py

import os
from dotenv import load_dotenv
from smolagents import LiteLLMModel, OpenAIServerModel
from src.tools.project_handler import ProjectHandler
from src.ui import AdaAssistantUI
from langfuse import get_client
from openinference.instrumentation.smolagents import SmolagentsInstrumentor

# Load environment variables
load_dotenv(override=True)

# Initialize Langfuse only for production
environment = os.getenv("ENVIRONMENT", "development")

if environment == "production":
    # Verify connection
    langfuse = get_client()

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

    SmolagentsInstrumentor().instrument()
else:
    print("Development mode: Langfuse integration disabled")

def initialize_project_handler():
    """Initialize the ProjectHandler with appropriate model"""
    temperature = 0.1

    if environment == "production":
        model_id = os.getenv("PRODUCTION_MODEL_ID", "gpt-4o-mini")
        model = OpenAIServerModel(
            model_id=model_id,
            api_key=os.environ["OPENAI_API_KEY"],
            temperature=temperature
        )
    else:
        model_id = os.getenv("DEVELOPMENT_MODEL_ID", "ollama/llama3.2")
        model = LiteLLMModel(
            model_id=model_id,
            temperature=temperature
        )
    
    project_handler = ProjectHandler(model)
    
    return project_handler

# Create Gradio interface
if __name__ == "__main__":
    project_handler = initialize_project_handler()
    ui = AdaAssistantUI(project_handler)
    app = ui.create_interface()
    app.launch()