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9b5b26a c19d193 6aae614 8fe992b 9b5b26a 5df72d6 9b5b26a 3d1237b 9b5b26a 25410fe 9b5b26a 25410fe 9b5b26a 25410fe 9b5b26a 25410fe 8c01ffb 25410fe bea4a73 25410fe 8c01ffb 6aae614 ae7a494 e121372 bf6d34c 29ec968 fe328e0 13d500a 8c01ffb 9b5b26a 8c01ffb 861422e 9b5b26a 8c01ffb 8fe992b 25410fe 8c01ffb 861422e 8fe992b 9b5b26a 8c01ffb | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 | from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool
import datetime
import requests
import pytz
import yaml
from tools.final_answer import FinalAnswerTool
from Gradio_UI import GradioUI
# Below is an example of a tool that does nothing. Amaze us with your creativity !
@tool
def my_custom_tool(arg1:str, arg2:int)-> str: #it's import to specify the return type
#Keep this format for the description / args / args description but feel free to modify the tool
"""A tool that does nothing yet
Args:
arg1: the first argument
arg2: the second argument
"""
return "What magic will you build ?"
@tool
def reflect_and_summarize(thought: str) -> str:
"""Condenses reasoning or intermediate thoughts into a concise summary.
Args:
thought: Intermediate reasoning or notes from the agent
"""
summary = thought.strip()
if len(summary) > 300:
summary = summary[:300] + "..."
return f"Key insight: {summary}"
@tool
def fetch_json(url: str) -> str:
"""Fetches JSON data from a public API endpoint.
Args:
url: A publicly accessible API endpoint returning JSON
"""
try:
response = requests.get(url, timeout=5)
response.raise_for_status()
return response.text[:2000] # prevent token explosion
except Exception as e:
return f"Failed to fetch data: {str(e)}"
@tool
def list_prompt_templates() -> str:
"""Lists available prompt templates loaded from prompts.yaml."""
try:
return yaml.dump(prompt_templates, sort_keys=False)
except Exception as e:
return f"Error reading prompts: {str(e)}"
@tool
def get_current_time(
timezone: str = "UTC",
fmt: str = "%Y-%m-%d %H:%M:%S"
) -> str:
"""Returns current time in a specified timezone.
Args:
timezone: Timezone name (default: UTC)
fmt: Datetime format string
"""
try:
tz = pytz.timezone(timezone)
return datetime.datetime.now(tz).strftime(fmt)
except Exception as e:
return f"Invalid timezone or format: {e}"
@tool
def validate_final_answer(answer: str) -> str:
"""Checks the final answer for clarity and completeness.
Args:
answer: The proposed final response generated by the agent
"""
issues = []
if len(answer) < 20:
issues.append("Answer too short")
if "I don't know" in answer:
issues.append("Uncertain response detected")
if not issues:
return "Answer looks good."
return "Potential issues: " + ", ".join(issues)
final_answer = FinalAnswerTool()
# If the agent does not answer, the model is overloaded, please use another model or the following Hugging Face Endpoint that also contains qwen2.5 coder:
# model_id='https://pflgm2locj2t89co.us-east-1.aws.endpoints.huggingface.cloud'
model = HfApiModel(
max_tokens=2096,
temperature=0.5,
model_id='Qwen/Qwen2.5-Coder-32B-Instruct',# it is possible that this model may be overloaded
custom_role_conversions=None,
)
# Import tool from Hub
image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True)
with open("prompts.yaml", 'r') as stream:
prompt_templates = yaml.safe_load(stream)
agent = CodeAgent(
model=model,
tools = [
reflect_and_summarize,
fetch_json,
get_current_time,
list_prompt_templates,
validate_final_answer,
final_answer ], ## add your tools here (don't remove final answer)
max_steps=6,
verbosity_level=1,
grammar=None,
planning_interval=None,
name=None,
description=None,
prompt_templates=prompt_templates
)
GradioUI(agent).launch() |