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https://huggingface.co/spaces/None/tree/main
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https://huggingface.co/spaces/None/tree/main
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SonechkoNatali
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iamcam
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https://huggingface.co/spaces/None/tree/main
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YOUR_HF_USERNAME
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# Cell 1 (Improved): Installation with Explanations
# Install the necessary libraries from PyPI.
# - "huggingface_hub>=0.23.0": Required for logging into Hugging Face and interacting with models and spaces.
# - "litellm>=1.37.0": A library that provides a unified interface for calling over 100 LLM APIs (e.g., OpenAI, Anthropic, Cohere).
# - "smolagents[toolkit]>=0.0.19": The core agent framework. The `[toolkit]` extra installs default tools like WebSearchTool.
!pip install "huggingface_hub>=0.23.0" "litellm>=1.37.0" "smolagents[toolkit]>=0.0.19" -q
# Cell 2 (Improved): Securely Access API Keys and Login
import os
from google.colab import userdata
from huggingface_hub import login
# --- Hugging Face Hub Login ---
# Access the secret key from Colab's secret manager for the Hugging Face Hub.
# This token is necessary for using gated models or pushing results to a Space.
hf_token = userdata.get('HUGGINGFACE_HUB_TOKEN')
login(token=hf_token)
# Cell 3 (Improved): Strategic Model Selection with Analysis
from smolagents import LiteLLMModel, InferenceClientModel
# --- STRATEGIC MODEL CHOICE ---
MODEL_CHOICE = "QWEN_CODER_HF"
if MODEL_CHOICE == "QWEN_CODER_HF":
# Qwen models are strong at code generation, which aligns with CodeAgent's modality.
# This uses the Hugging Face Inference API and the token from Cell 2.
model = InferenceClientModel(
model_id="Qwen/Qwen3-235B-A22B-Instruct-2507",
provider="together",
temperature=0.0,
)
# Cell 4 (Improved): Creating a Robust Custom File Reader Tool
from smolagents import Tool
from typing import ClassVar
class FileReaderTool(Tool):
"""A custom tool to read the entire contents of a file."""
name: ClassVar[str] = "file_reader"
description: ClassVar[str] = (
"Reads the entire content of a file specified by its path and returns it as a single string. "
"Use this tool whenever the user's question explicitly mentions a file name (e.g., 'Read data.txt')."
"Example Usage: print(file_reader(file_path='data/some_document.txt'))"
)
inputs: ClassVar[dict[str, dict]] = {
"file_path": {
"type": "string",
"description": "The full or relative path to the file that needs to be read."
}
}
output_type: ClassVar[str] = "string"
def __init__(self):
super().__init__()
def forward(self, file_path: str) -> str:
"""
Reads and returns the content of the specified file.
Includes robust error handling for common issues like FileNotFoundError.
"""
try:
with open(file_path, 'r', encoding='utf-8') as f:
content = f.read()
return content
except FileNotFoundError:
return f"Error: The file was not found at the specified path: '{file_path}'. Please check the path and try again."
except Exception as e:
return f"An unexpected error occurred while trying to read the file '{file_path}': {str(e)}"
# Cell 5 (Overhauled): Engineering a Hardened Prompt Strategy for Precision
from smolagents import PlanningPromptTemplate, FinalAnswerPromptTemplate, ManagedAgentPromptTemplate
SYSTEM_PROMPT = """
# MISSION
You are a hyper-precise, autonomous AI agent. Your SOLE purpose is to answer the user's question with perfect accuracy and precision.
You MUST operate according to the following rules and frameworks. Failure to do so will result in task failure.
# CRITICAL RULES FOR FINAL ANSWER
Your final output MUST be a call to the `final_answer` tool with a SINGLE argument.
This argument MUST be one of the following raw data types:
1. A string (e.g., `final_answer("Mount Everest")`)
2. A number (e.g., `final_answer(8848)`)
3. A comma-separated list of strings/numbers (e.g., `final_answer("Everest, K2, Kangchenjunga")`)
**YOU WILL FAIL IF YOUR FINAL ANSWER CONTAINS:**
- Any explanatory or conversational text (e.g., `final_answer("The answer is Mount Everest")` is WRONG).
- Any units like '$' or '%' unless the question explicitly requires it.
- Any Python f-strings or variable references inside the `final_answer` call. The argument must be the raw value.
# AVAILABLE TOOLS
You have access to the following tools via Python code:
1. `web_search(query: str)`: Searches the internet.
2. `file_reader(file_path: str)`: Reads a local file.
3. **Python Interpreter**: For calculations, data manipulation, etc. You can import `pandas` and `numpy`.
# REASONING FRAMEWORK (MANDATORY)
You MUST follow this exact process:
1. **Deconstruct & Plan:** Analyze the user's question and create a step-by-step plan. Explain your plan clearly.
2. **Execute:** Execute your plan by writing and running Python code one step at a time.
Use the available tools as needed.
3. **Analyze:** Scrutinize the output of each code execution. Check for errors or unexpected results.
4. **Final Answer:** Once you have found the answer, your final action MUST be a single line of code calling the `final_answer` tool.
Do not print the answer first. Do not add any other text.
Your entire output for the final step must be ONLY the code to call the tool.
"""
FINAL_ANSWER_PRE_MESSAGES = """
You have completed your self-critique and are 100% confident in the result.
Your final and ONLY task is to call the `final_answer` tool with the raw data.
**CRITICAL:** Do NOT write ANY other text, code, or explanation. Just the tool call.
- Correct Example (string): `final_answer("Tommy L’ampart")`
- Correct Example (number): `final_answer(2023)`
- Correct Example (list): `final_answer("Pierre Agostini, Ferenc Krausz, Tommy L’ampart")`
Now, provide the final answer.
"""
PLANNING_TEMPLATE = PlanningPromptTemplate(
initial_plan="I will deconstruct the problem, create a step-by-step plan, execute it, perform a mandatory self-critique, and then provide the final answer in the required format.",
update_plan_pre_messages="Review and update the plan if necessary.",
update_plan_post_messages="The plan has been updated.",
)
FINAL_ANSWER_TEMPLATE = FinalAnswerPromptTemplate(
pre_messages=FINAL_ANSWER_PRE_MESSAGES,
post_messages="The final answer has been provided.",
)
MANAGED_AGENT_TEMPLATE = ManagedAgentPromptTemplate(
task="You are a helpful assistant.",
report="Reporting back on the completed task.",
)
import re
def is_not_empty(final_answer: str, agent_memory=None) -> bool:
if not final_answer or str(final_answer).strip() == "":
print("Final answer check failed: Answer is empty.")
return False
return True
def is_correctly_formatted(final_answer: str, agent_memory=None) -> bool:
answer_str = str(final_answer)
checks = {
"Contains conversational filler words (e.g., 'The answer is...')": r"^(the answer is|final answer:|here is the result|i found that)\\s+",
"Contains leading articles ('a', 'an', 'the')": r"^\\b(a|an|the)\\s+",
"Contains currency symbols (e.g., '$', '£')": r"[\\$£€¥]",
"Contains commas used as thousands separators in numbers (e.g., '8,848')": r"\\d,\\d",
"Contains trailing punctuation (e.g., 'John.')": r"[.!?]$",
"Contains units after a number (e.g., '12 albums')": r"^\\d+(\\.\\d+)?\\s+[a-zA-Z]+s?$",
}
for reason, pattern in checks.items():
if re.search(pattern, answer_str, re.IGNORECASE):
print(f"Final answer check failed: {reason}. Invalid answer: '{answer_str}'")
return False
return True
validation_checks = [is_not_empty, is_correctly_formatted]
# Cell 6 (Corrected): Assembling the Agent with Programmatic Guardrails
from smolagents import CodeAgent, WebSearchTool, PromptTemplates
web_search_tool = WebSearchTool()
file_reader_tool = FileReaderTool()
tools = [web_search_tool, file_reader_tool]
prompt_templates = PromptTemplates(
system_prompt=SYSTEM_PROMPT,
planning=PLANNING_TEMPLATE,
final_answer=FINAL_ANSWER_TEMPLATE,
managed_agent=MANAGED_AGENT_TEMPLATE,
)
gaia_agent = CodeAgent(
model=model,
tools=tools,
instructions=SYSTEM_PROMPT,
prompt_templates=prompt_templates,
additional_authorized_imports=["pandas", "numpy"],
stream_outputs=True,
max_steps=15,
verbosity_level=1,
final_answer_checks=validation_checks,
)
# %% [code]
# Cell 9: Running Local Evaluation (Using gaia_agent)
import requests
import json
from tqdm import tqdm
import textwrap
API_URL = "https://agents-course-unit4-scoring.hf.space"
print("Fetching evaluation questions from the course scoring server...")
try:
questions_response = requests.get(f"{API_URL}/questions")
questions_response.raise_for_status()
questions = questions_response.json()
print(f" ✅ Successfully loaded {len(questions)} evaluation tasks.")
except requests.exceptions.RequestException as e:
print(f" ❌ Error fetching questions: {e}")
questions = []
answers = []
if questions:
print("\n--- Starting Local Evaluation Run (Silent Mode) ---")
for q in tqdm(questions, desc="Solving GAIA Tasks"):
task_id = q.get("task_id")
task = q.get("question")
final_answer_text = f"ERROR: Agent failed to produce a final answer for task {task_id}."
try:
final_output = gaia_agent.run(task=task, max_steps=15, stream=False)
if isinstance(final_output, str):
final_answer_text = final_output
elif isinstance(final_output, dict) and final_output.get("type") == "final_answer":
final_answer_text = final_output.get("text", "ERROR: Malformed final answer.")
elif isinstance(final_output, dict):
final_answer_text = f"ERROR: Agent stopped (max_steps likely reached)."
except Exception as e:
final_answer_text = f"ERROR: {e}"
answers.append({"task_id": task_id, "submitted_answer": str(final_answer_text).strip()})
print(" ✅ Agent has attempted all tasks.")
if answers:
print("\nSubmitting answers for scoring...")
try:
scoring_response = requests.post(
f"{API_URL}/",
json={"questions": questions, "answers": answers}
)
scoring_response.raise_for_status()
score_data = scoring_response.json()
print("\n--- 🏆 LOCAL EVALUATION COMPLETE 🏆 ---")
print(f"Final Score: {score_data.get('score', 0) * 100:.2f}%")
print("------------------------------------")
except requests.exceptions.RequestException as e:
print(f"\n ❌ Automated submission failed: {e}")
print("This may be a temporary server issue.")
print("\n--- MANUAL SUBMISSION (PLAN B) ---")
print("You can copy the JSON below and submit it manually.")
answers_json = json.dumps(answers, indent=2)
wrapped_json = textwrap.fill(answers_json, width=80)
print("\nCOPY THE FOLLOWING JSON:\n")
print("="*40)
print(wrapped_json)
print("="*40)
|
skhedekar
| 0 |
2025-08-04T09:23:13.283568+00:00
|
https://huggingface.co/spaces/agents-course/Final_Assignment_Template/tree/main
|
MohamedAmineMehrez
| 100 |
2025-08-04T10:45:22.120962+00:00
|
https://huggingface.co/spaces/clokoihue/hf_agents_course_gaia_agent/tree/main
|
winstonpang
| 45 |
2025-08-04T12:14:34.504136+00:00
|
https://huggingface.co/spaces/winstonpang/HF_Agent_Assignment/tree/main
|
kxr3n
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2025-08-04T13:34:30.837845+00:00
|
https://huggingface.co/spaces/kxr3n/Final_Assignment_Template/tree/main
|
WTvhUrUe
| 5 |
2025-08-04T15:09:16.974279+00:00
|
https://huggingface.co/spaces/WTvhUrUe/Final_Assignment_Template/tree/main
|
newbienoob
| 0 |
2025-08-04T15:19:08.440578+00:00
|
https://huggingface.co/spaces/newbienoob/gokul-gaia-agent/tree/main
|
doubleman89
| 10 |
2025-08-04T16:35:48.143684+00:00
|
https://huggingface.co/spaces/doubleman89/Final_Assignment_Template/tree/main
|
smalirizvi
| 30 |
2025-08-04T16:45:03.308431+00:00
|
https://huggingface.co/spaces/agents-course/Final_Assignment_Template/tree/main
|
khush1404
| 40 |
2025-08-04T17:05:00.287450+00:00
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stringstri
|
Danmellof
| 40 |
2025-08-05T01:19:54.041379+00:00
|
https://huggingface.co/spaces/Danmellof/test/tree/main
|
ragunath-ravi
| 0 |
2025-08-05T02:17:59.815785+00:00
|
https://huggingface.co/spaces/ragunath-ravi/Final_Assignment/tree/main
|
zhihao64
| 0 |
2025-08-05T05:06:19.742365+00:00
|
https://huggingface.co/spaces/zhihao64/Final_Assignment_Agent_Course/tree/main
|
raphaelpts
| 35 |
2025-08-05T05:07:56.395464+00:00
|
https://huggingface.co/spaces/raphaelpts/AI_Agent_Duff/tree/main
|
ljj1291599896
| 0 |
2025-08-05T07:43:05.484438+00:00
|
https://huggingface.co/spaces/agents-course/Final_Assignment_Template/tree/main
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a-min7
| 5 |
2025-08-05T09:13:37.386692+00:00
|
https://huggingface.co/spaces/None/tree/main
|
patelharshal126
| 0 |
2025-08-05T09:48:09.853461+00:00
|
https://huggingface.co/spaces/agents-course/Final_Assignment_Template/tree/main
|
bdolega0
| 0 |
2025-08-05T11:20:43.297287+00:00
|
https://huggingface.co/spaces/agents-course/Final_Assignment_Template/tree/main
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nikk92
| 5 |
2025-08-05T11:25:56.161625+00:00
|
https://huggingface.co/spaces/nikk92/agents-course-nikk92
|
JerajJain
| 0 |
2025-08-05T12:25:41.176300+00:00
|
https://huggingface.co/spaces/agents-course/Final_Assignment_Template/tree/main
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CasperCvO
| 60 |
2025-08-05T12:32:12.573391+00:00
|
https://huggingface.co/spaces/None/tree/main
|
adelchi91
| 25 |
2025-08-05T13:32:52.407436+00:00
|
https://huggingface.co/spaces/adelchi91/ai-agents-assignment/tree/main
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Sewatar
| 0 |
2025-08-05T14:35:20.013272+00:00
|
https://huggingface.co/spaces/agents-course/Final_Assignment_Template/tree/main
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TheresiaElKhoury
| 0 |
2025-08-05T14:45:27.743845+00:00
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https://huggingface.co/spaces/TheresiaElKhoury/Final_Assignment_Template/tree/main
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anish129
| 0 |
2025-08-05T16:37:15.772705+00:00
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https://huggingface.co/spaces/agents-course/Final_Assignment_Template/tree/main
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y0nier
| 100 |
2025-08-05T16:59:54.648149+00:00
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https://huggingface.co/spaces/y0nier/agents-course-Final_Assignment_Template/tree/main
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hadil12
| 35 |
2025-08-05T17:14:04.160701+00:00
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https://www.kaggle.com/code/hadil01/notebook95e4f95140
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Incharamp
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2025-08-05T19:01:40.932057+00:00
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https://huggingface.co/spaces/agents-course/Final_Assignment_Template/tree/main
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MohamedAliAmiraa
| 40 |
2025-08-05T19:33:00.035924+00:00
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https://www.kaggle.com/code/mohamedaliaamira/hf-agent
|
Abdellatif-belmady
| 20 |
2025-08-05T20:42:34.319359+00:00
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https://huggingface.co/spaces/Abdellatif-belmady/Final_Assignment_Template/tree/main
|
ankitamod
| 100 |
2025-08-05T21:46:35.238522+00:00
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https://huggingface.co/spaces/ankitamod/Final_Assignment_Templateamm/tree/main
|
Gaemmx
| 35 |
2025-08-05T21:56:02.760381+00:00
|
https://huggingface.co/spaces/Gaemmx/Finalcountdown/tree/main
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xilom
| 15 |
2025-08-06T00:35:20.526323+00:00
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https://huggingface.co/spaces/None/tree/main
|
vitalune
| 35 |
2025-08-06T01:35:08.416314+00:00
|
https://huggingface.co/spaces/vitalune/Final_Assignment_Template/tree/main
|
gamefreakoneone
| 10 |
2025-08-06T02:03:53.877142+00:00
|
https://huggingface.co/spaces/gamefreakoneone/Final_Agent_Assignment/tree/main
|
Dozerex
| 0 |
2025-08-06T04:16:35.498558+00:00
|
https://huggingface.co/spaces/agents-course/Final_Assignment_Template/tree/main
|
HenryRnode
| 65 |
2025-08-06T04:49:19.632541+00:00
|
https://huggingface.co/spaces/HenryRnode/Final_Assignment_Template/tree/main
|
pcumani
| 50 |
2025-08-06T06:31:26.992302+00:00
|
https://huggingface.co/spaces/None/tree/main
|
carolasegale
| 45 |
2025-08-06T07:35:04.562031+00:00
|
https://huggingface.co/spaces/carolasegale/gaia_agent/tree/main
|
lionevan
| 0 |
2025-08-06T10:14:06.859498+00:00
|
https://huggingface.co/spaces/agents-course/Final_Assignment_Template/tree/main
|
Poojamankar77
| 0 |
2025-08-06T10:15:54.399617+00:00
|
https://huggingface.co/spaces/agents-course/Final_Assignment_Template/tree/main
|
Maxmax1992
| 15 |
2025-08-06T10:27:41.213915+00:00
|
https://huggingface.co/spaces/Maxmax1992/FinalAgentsSubmissionProject/tree/main
|
akhilaasok99
| 0 |
2025-08-06T12:09:20.107330+00:00
|
https://huggingface.co/spaces/agents-course/Final_Assignment_Template/tree/main
|
leedoj
| 35 |
2025-08-06T13:23:00.210340+00:00
|
https://huggingface.co/spaces/leedoj/Final_Assignment_Template_v4/tree/main
|
jjgianlo
| 0 |
2025-08-06T13:28:00.181813+00:00
|
https://huggingface.co/spaces/agents-course/Final_Assignment_Template/tree/main
|
Irshad-27
| 35 |
2025-08-06T13:31:29.467525+00:00
|
https://huggingface.co/spaces/Irshad-27/Final_Assignment_Template/tree/main
|
maricaantonacci
| 0 |
2025-08-06T14:11:02.819504+00:00
|
https://huggingface.co/spaces/agents-course/Final_Assignment_Template/tree/main
|
AkaishaS
| 0 |
2025-08-06T16:30:54.984425+00:00
|
https://huggingface.co/spaces/agents-course/Final_Assignment_Template/tree/main
|
deltahedge1
| 30 |
2025-08-06T16:59:48.494677+00:00
|
https://huggingface.co/spaces/None/tree/main
|
Hamghalam
| 0 |
2025-08-06T18:22:21.028834+00:00
|
https://huggingface.co/spaces/agents-course/Final_Assignment_Template/tree/main
|
nick-pavic
| 0 |
2025-08-06T19:06:17.078879+00:00
|
https://huggingface.co/spaces/agents-course/Final_Assignment_Template/tree/main
|
wilhelmu
| 35 |
2025-08-06T19:15:10.616454+00:00
|
https://huggingface.co/spaces/wilhelmu/unit_4/tree/main
|
walt-22r
| 0 |
2025-08-06T19:52:09.719842+00:00
|
https://huggingface.co/spaces/walt-22r/Final_Assignment_Template/tree/main
|
vuong
| 0 |
2025-08-06T19:53:08.274042+00:00
|
get_weather
|
robdreamville
| 50 |
2025-08-06T20:24:14.762527+00:00
|
https://huggingface.co/spaces/robdreamville/Final_Assignment_Template/tree/main
|
Leix34
| 10 |
2025-08-06T22:08:12.415791+00:00
|
https://huggingface.co/spaces/None/tree/main
|
vuongnguyen2604
| 35 |
2025-08-07T04:47:43.577477+00:00
|
https://huggingface.co/spaces/vuongnguyen2604/agent-01/tree/main
|
Preetim240027
| 0 |
2025-08-07T06:48:02.239434+00:00
|
https://huggingface.co/spaces/agents-course/Final_Assignment_Template/tree/main
|
Junlang
| 0 |
2025-08-07T08:21:30.627698+00:00
|
https://huggingface.co/spaces/agents-course/Final_Assignment_Template/tree/main
|
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