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import os
import datetime
import requests
import pytz
import yaml
from typing import List
from langchain.text_splitter import CharacterTextSplitter
from tools.final_answer import FinalAnswerTool
from smolagents import CodeAgent, LiteLLMModel, DuckDuckGoSearchTool, load_tool, tool
# === TOOLS ===
@tool
def web_search(query: str) -> str:
"""Allows search through DuckDuckGo.
Args:
query: what you want to search
"""
search_tool = DuckDuckGoSearchTool()
results = search_tool(query)
return "\n".join(results)
@tool
def get_current_time_in_timezone(timezone: str) -> str:
"""Fetches the current local time in a specified timezone.
Args:
timezone: A string representing a valid timezone (e.g., 'America/New_York').
"""
try:
tz = pytz.timezone(timezone)
local_time = datetime.datetime.now(tz).strftime("%Y-%m-%d %H:%M:%S")
return f"The current local time in {timezone} is: {local_time}"
except Exception as e:
return f"Error fetching time for timezone '{timezone}': {str(e)}"
@tool
def visit_webpage(url: str) -> str:
"""Fetches raw HTML content of a web page.
Args:
url: The url of the webpage.
"""
try:
response = requests.get(url, timeout=5)
return response.text[:5000] # Limit length
except Exception as e:
return f"[ERROR fetching {url}]: {str(e)}"
@tool
def text_splitter(text: str) -> List[str]:
"""Splits text into chunks using LangChain's CharacterTextSplitter.
Args:
text: A string of text to split.
"""
splitter = CharacterTextSplitter(chunk_size=450, chunk_overlap=10)
return splitter.split_text(text)
# === FINAL ANSWER TOOL ===
final_answer = FinalAnswerTool()
# === LOAD PROMPT TEMPLATES ===
with open("prompts.yaml", "r") as stream:
prompt_templates = yaml.safe_load(stream)
# === LOAD agent.json CONFIG ===
with open("agent.json", "r") as f:
agent_config = yaml.safe_load(f)
model_config = agent_config["model"]["data"]
# === BUILD MODEL ===
model = LiteLLMModel(
model_id="gemini/gemini-2.0-flash-lite",
api_key=os.getenv("GEMINI_API_KEY"),
temperature=0.5,
max_tokens=1024,
)
# === IMPORT TOOL FROM HUB ===
image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True)
# === BUILD AGENT ===
agent = CodeAgent(
model=model,
tools=[
final_answer,
web_search,
get_current_time_in_timezone,
visit_webpage,
text_splitter,
image_generation_tool
],
max_steps=6,
verbosity_level=1,
grammar=None,
planning_interval=None,
name=None,
description=None,
prompt_templates=prompt_templates
)
# === EXPORT AGENT ===
def get_agent():
return agent |