added telemetry

.python-version

@@ -0,0 +1 @@
+3.12

app.py

@@ -3,9 +3,12 @@ import gradio as gr
 import requests
 import inspect
 import pandas as pd
+from phoenix.otel import register
+from openinference.instrumentation.smolagents import SmolagentsInstrumentor
 from llm_only_agent import LLMOnlyAgent
 import profile
 
+
 # (Keep Constants as is)
 # --- Constants ---
 DEFAULT_API_URL = "https://agents-course-unit4-scoring.hf.space"
@@ -75,7 +78,7 @@ def run_and_submit_all( profile: gr.OAuthProfile | None, limit: int | None):
     results_log = []
     answers_payload = []
     # Limit for test purposes
-    limit = None
+    limit = 2
     if limit is not None:
         questions_data = questions_data[:limit]
     print(f"Running agent on {len(questions_data)} questions...")
@@ -179,6 +182,11 @@ with gr.Blocks() as demo:
 
 if __name__ == "__main__":
     print("\n" + "-"*30 + " App Starting " + "-"*30)
+
+    # Telemetry
+    register()
+    SmolagentsInstrumentor().instrument()
+
     # Check for SPACE_HOST and SPACE_ID at startup for information
     space_host_startup = os.getenv("SPACE_HOST")
     space_id_startup = os.getenv("SPACE_ID") # Get SPACE_ID at startup

llm_only_agent.py

@@ -29,8 +29,8 @@ class LLMOnlyAgent:
             instructions=self.instructions,
             tools=[FinalAnswerTool(), WikipediaSearchTool(), WebSearchTool(), VisitWebpageTool()],
             additional_authorized_imports=[ "markdownify" , "requests" ],
-            max_steps=10
-            # final_answer_checks=self.final_answer_checks()
+            max_steps=5,
+            final_answer_checks=self.final_answer_checks()
         )
 
         print("BasicAgent initialized.")

mise.toml

@@ -0,0 +1,5 @@
+[tools]
+python = "3.11"
+
+[settings]
+python.uv_venv_auto = true

requirements.txt

@@ -6,3 +6,4 @@ huggingface_hub[cli]
 wikipedia-api
 markdownify
 requests
+smolagents[telemetry,toolkit]