Update

.gitignore

@@ -1 +1,3 @@
 .env-gemini
+exclude-from
+.env

app.py

@@ -7,6 +7,7 @@ import pandas as pd
 import requests
 import rich
 import wikipediaapi
+from loguru import logger
 from mcp import StdioServerParameters
 from smolagents import DuckDuckGoSearchTool, FinalAnswerTool, Tool, ToolCollection, VisitWebpageTool
 from ycecream import y
@@ -88,14 +89,11 @@ def run_and_submit_all(profile: gr.OAuthProfile | None):
 
     mcp_searxng_params = StdioServerParameters(
         **{
-          "command": "npx",
-          "args": [
-            "-y",
-            "mcp-searxng"
-          ],
-          "env": {
-            "SEARXNG_URL": os.getenv("SEARXNG_URL", "https://searx.be")  # https://searx.space or run and set your own
-          }
+            "command": "npx",
+            "args": ["-y", "mcp-searxng"],
+            "env": {
+                "SEARXNG_URL": os.getenv("SEARXNG_URL", "https://searx.be")  # https://searx.space or run and set your own
+            },
         }
     )
 
@@ -114,7 +112,7 @@ def run_and_submit_all(profile: gr.OAuthProfile | None):
                     WikipediaSearchTool(),
                     FinalAnswerTool(),
                 ],
-                verbosity_level=1,
+                # verbosity_level=1,
             )
             agent.agent.visualize()
         except Exception as e:
@@ -136,6 +134,7 @@ def run_and_submit_all(profile: gr.OAuthProfile | None):
                 continue
             try:
                 submitted_answer = agent(question_text)
+                logger.debug(f">>> {submitted_answer=}, {question_text=}")
                 answers_payload.append({"task_id": task_id, "submitted_answer": submitted_answer})
                 results_log.append({"Task ID": task_id, "Question": question_text, "Submitted Answer": submitted_answer})
             except Exception as e:

basic_agent.py

@@ -19,7 +19,7 @@ from get_model import get_model
 from litellm_model import litellm_model
 from openai_model import openai_model
 
-print = rich.get_console().print
+console = rich.get_console()
 DEFAULT_API_URL = "https://agents-course-unit4-scoring.hf.space"
 SPACE_ID = os.getenv("SPACE_ID", "mikeee/final-assignment")
 
@@ -49,6 +49,9 @@ AUTHORIZED_IMPORTS = [
     "io",
     "glob",
     "chess",
+    "speech_recognition",
+    "input",
+    "pandas.compat",
 ]
 
 
@@ -202,7 +205,7 @@ def main():
                     WikipediaSearchTool(),
                     FinalAnswerTool(),
                 ],
-                verbosity_level=1,
+                # verbosity_level=1,
             )
             agent.agent.visualize()
         except Exception as e:
@@ -216,10 +219,10 @@ def main():
 
         print(f"Running agent on {len(questions_data)} questions...")
 
-        # for item in questions_data:
+        for idx, item in enumerate(questions_data):
         # for item in questions_data[-1:]:
         # for item in questions_data[14:15]:
-        for item in questions_data[-6:]:
+        # for item in questions_data[-6:]:
             task_id = item.get("task_id")
             question_text = item.get("question")
             if not task_id or question_text is None:
@@ -227,6 +230,9 @@ def main():
                 continue
             try:
                 submitted_answer = agent(question_text)
+                print(f"{idx=} {"*" * 20}")
+                print([submitted_answer, question_text])
+
                 answers_payload.append({"task_id": task_id, "submitted_answer": submitted_answer})
                 results_log.append({"Task ID": task_id, "Question": question_text, "Submitted Answer": submitted_answer})
             except Exception as e:

openai_model.py

@@ -2,6 +2,7 @@
 
 import os
 import sys
+from platform import node
 
 import rich
 from loguru import logger
@@ -27,15 +28,25 @@ def openai_model(
     # default llama4
     api_base = api_base or "https://api.llama.com/compat/v1"
 
+    if "golay" in node() and ("llama.com" in api_base or "openai.com" in api_base):
+        os.environ.update(
+            HTTPS_PROXY="http://localhost:8081",
+            HTTP_PROXY="http://localhost:8081",
+            ALL_PROXY="http://localhost:8081",
+            NO_PROXY="localhost,127.0.0.1",
+        )
+
     api_key = api_key or os.getenv("LLAMA_API_KEY")
     if isinstance(api_key, str):
         # LLAMA_API_KEY contains | and in win10 need to assign env var with ""
         api_key = api_key.strip('"')
     assert api_key, "LLAMA_API_KEY not set, set it and try again"
 
-    # "Llama-4-Maverick-17B-128E-Instruct-FP8"
-    # "Llama-4-Scout-17B-16E-Instruct-FP8"
-    model_id = model_id or "Llama-4-Scout-17B-16E-Instruct-FP8"
+    default =  "Llama-4-Maverick-17B-128E-Instruct-FP8"
+    # default = "Llama-4-Scout-17B-16E-Instruct-FP8"
+    logger.debug(f"{default=}")
+
+    model_id = model_id or default
 
     return OpenAIServerModel(
         model_id,
@@ -50,9 +61,9 @@ def main():
     logger.debug(sys.argv)
 
     if not sys.argv[1:]:
-        logger.debug("default llama4 scout")
         model = openai_model()
         logger.debug(model(messages))
+        return
 
     if len(sys.argv[1:]) < 3:
         raise SystemExit("Provide at least three args (model_id, api_base, api_key)")