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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()