mustllmagentDeeplearning / litellm_endpoint.py
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linting litellm endpoint
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import os
import datetime
import pytz
import yaml
from smolagents import (
CodeAgent,
DuckDuckGoSearchTool,
load_tool,
tool,
LiteLLMModel,
)
from tools.final_answer import FinalAnswerTool
from Gradio_UI import GradioUI
# 自訂工具:展示結構
@tool
def my_custom_tool(arg1: str, arg2: int) -> str:
"""A tool that does nothing yet.
Args:
arg1: The first argument.
arg2: The second argument.
"""
return "What magic will you build?"
# 自訂工具:取得當地時間
@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)}"
# 初始化工具
search_tool = DuckDuckGoSearchTool()
final_answer = FinalAnswerTool()
# 官方文件寫法
# https://github.com/samwit/smolagents_examples/blob/main/smolagent_gemini.py
model = LiteLLMModel(
model_id="gemini/gemini-2.0-flash-exp",
api_key=os.getenv("GEMINI_API_KEY"))
# 載入圖像產生工具
image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True)
# 載入 YAML Prompt 模板
with open("prompts.yaml", 'r') as stream:
prompt_templates = yaml.safe_load(stream)
# 設定代理人
agent = CodeAgent(
model=model,
tools=[final_answer, search_tool, image_generation_tool, get_current_time_in_timezone], # 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,
)
# 啟動 Gradio 介面
GradioUI(agent).launch()