Add Langfuse instrumetation and basic agent

agent.py

@@ -1,8 +1,19 @@
+from smolagents import (
+    ToolCallingAgent,
+    InferenceClientModel,
+)
+
 class DRAgent:
     def __init__(self):
+        self.agent = ToolCallingAgent(
+            tools=[],
+            model=InferenceClientModel(
+            model_id="deepseek-ai/DeepSeek-R1-Distill-Qwen-32B"
+            ),
+        )
         print("BasicAgent initialized.")
     def __call__(self, question: str) -> str:
         print(f"Agent received question (first 50 chars): {question[:50]}...")
-        fixed_answer = "This is a default answer."
-        print(f"Agent returning fixed answer: {fixed_answer}")
-        return fixed_answer
+        answer = self.agent.run(question)
+        print(f"Agent returning answer: {answer}")
+        return answer

app.py

@@ -3,6 +3,9 @@ import gradio as gr
 import requests
 import inspect
 import pandas as pd
+from dotenv import load_dotenv
+from langfuse import get_client
+from openinference.instrumentation.smolagents import SmolagentsInstrumentor
 
 from agent import DRAgent
 
@@ -10,6 +13,11 @@ from agent import DRAgent
 # --- Constants ---
 DEFAULT_API_URL = "https://agents-course-unit4-scoring.hf.space"
 
+# Housekeeping (environment variables, telemetry, etc.)
+load_dotenv()
+langfuse = get_client()
+SmolagentsInstrumentor().instrument()
+
 # --- Basic Agent Definition ---
 # ----- THIS IS WERE YOU CAN BUILD WHAT YOU WANT ------
 # NB: Moved to `agent.py`

pyproject.toml

@@ -6,5 +6,8 @@ readme = "README.md"
 requires-python = ">=3.13"
 dependencies = [
     "gradio>=5.49.1",
+    "langfuse>=3.8.1",
+    "openinference-instrumentation-smolagents>=0.1.19",
     "requests>=2.32.5",
+    "smolagents[telemetry]>=1.22.0",
 ]