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# ##not implemented include_images and include_image_descriptions attributes
# import os
# from tavily import TavilyClient
# from smolagents import Tool
# #from pydantic import BaseModel, Field
# from typing import Optional,List, Dict, Any, Literal
# # class TavilySearchInput(BaseModel):
# # """Input for Tavily Search."""
# # query : str = Field(description="The search query string.")
# # max_results : Optional[int] = Field(default = 5,
# # description="Maximum number of search results to return.")
# # topic : Optional[str] = Field(default = "general",
# # description="Category of the search. Can be 'general', 'news', or 'finance'.")
# # include_answer : Optional[bool] = Field(default = False,
# # description="Whether to include an answer to original query in results.")
# # include_raw_content : Optional[bool] = Field(default = False,
# # description="Whether to include cleaned and parsed HTML of each search result.")
# # search_depth: Optional[str] = Field(default = "basic",
# # description="Depth of the search, either 'basic' or 'advanced'.")
# # time_range: Optional[str] = Field(default = None,
# # description="The time range back from the current date to filter results - 'day', 'week', 'month', or 'year'.")
# # include_domains: Optional[List[str]] = Field(default = None,
# # description="List of domains to specifically include.")
# # exclude_domains: Optional[List[str]] = Field(default = None,
# # description="List of domains to specifically exclude.")
# # class TavilySearchTool(Tool):
# # name: str = "tavily_search"
# # description = """
# # A tool to perform comprehensive web searches using the Tavily Search API.
# # It can retrieve real-time, accurate, and factual information from across the web.
# # Useful for answering questions, gathering information, and reducing hallucinations."""
# # inputs = inputs
# # output_type = "list"
# # def __init__(self, api_key:Optional[str] = None, **kwargs):
# # super().__init__(**kwargs)
# # if api_key is None:
# # api_key = os.getenv("TRAVILY_SECRET_KEY")
# # if not api_key:
# # raise ValueError(
# # "Tavily API key not found. Please set the TAVILY_API_KEY environment variable "
# # "or pass it directly to TavilySearchTool(api_key='YOUR_API_KEY')."
# # )
# # self.tavily_client = TavilyClient(api_key=api_key)
# # print('TavilyClient is initiated')
# # def forward(self, query: str,
# # max_results: int = 5,
# # include_answer: bool = False,
# # include_raw_content: bool = False,
# # search_depth: str = "basic",
# # topic: str = "general",
# # time_range: Optional[str] = None,
# # include_domains: Optional[List[str]] = None,
# # exclude_domains: Optional[List[str]] = None) -> List[Dict[str, Any]]:
# # """
# # Executes a search query using the Tavily API.
# # Args:
# # query (str): The search query.
# # max_results (int): Maximum number of search results to return.
# # include_answer (bool): Whether to include a direct answer synthesized from the search results.
# # include_raw_content (bool): Whether to include the raw HTML content of the searched pages.
# # search_depth (str): Depth of the search, either 'basic' or 'advanced'.
# # topic (str): Category of the search. Can be 'general', 'news', or 'finance'.
# # time_range (Optional[str]): The time range back from the current date to filter results - 'day', 'week', 'month', or 'year'.
# # include_domains (Optional[List[str]]): List of domains to specifically include.
# # exclude_domains (Optional[List[str]]): List of domains to specifically exclude.
# # Returns:
# # List[Dict[str, Any]]: A list of dictionaries, where each dictionary represents a search result.
# # Each result typically contains 'title', 'url', and 'content'.
# # If include_answer is True, it will also include the 'answer' field
# # in the top-level response.
# # """
# # try:
# # response = self.tavily_client.search(
# # query=query,
# # max_results=max_results,
# # include_answer=include_answer,
# # include_raw_content=include_raw_content,
# # search_depth=search_depth,
# # topic=topic,
# # time_range=time_range,
# # include_domains=include_domains,
# # exclude_domains=exclude_domains
# # )
# # return response
# # except Exception as e:
# # return [{"error": f"Tavily Search Error: {e}"}]
# # class TavilySearchTool(Tool):
# # name = "tavily_search"
# # description = """
# # A tool to perform comprehensive web searches using the Tavily Search API.
# # It can retrieve real-time, accurate, and factual information from across the web.
# # Useful for answering questions, gathering information, and reducing hallucinations."""
# # inputs = {
# # "query": {"type": "string", "description": "The search query string."},
# # "max_results": {"type": "integer", "description": "Maximum number of results.", "default": 5, "nullable": False},
# # "topic": {"type": "string", "description": "Search category: 'general', 'news', or 'finance'.", "default": "general", "nullable": False},
# # "include_answer": {"type": "boolean", "description": "Whether to include answer in results.", "default": False, "nullable": False},
# # "include_raw_content": {"type": "boolean", "description": "Whether to include HTML content.", "default": False, "nullable": False},
# # "search_depth": {"type": "string", "description": "Search depth: 'basic' or 'advanced'.", "default": "basic", "nullable": False},
# # "time_range": {"type": "string", "description": "Filter by time range.", "default": None, "nullable": True},
# # "include_domains": {"type": "array", "description": "List of domains to include.", "default": None, "nullable": True},
# # "exclude_domains": {"type": "array", "description": "List of domains to exclude.", "default": None, "nullable": True},
# # }
# # output_type = "any"
# # def __init__(self, api_key:Optional[str] = None, **kwargs):
# # super().__init__(**kwargs)
# # if api_key is None:
# # api_key = os.getenv("TRAVILY_SECRET_KEY")
# # if not api_key:
# # raise ValueError(
# # "Tavily API key not found. Please set the TAVILY_API_KEY environment variable "
# # "or pass it directly to TavilySearchTool(api_key='YOUR_API_KEY')."
# # )
# # self.tavily_client = TavilyClient(api_key=api_key)
# # print('TavilyClient is initiated')
# # def forward(self, query: str,
# # max_results: int = 5,
# # include_answer: bool = False,
# # include_raw_content: bool = False,
# # search_depth: str = "basic",
# # topic: str = "general",
# # time_range: Optional[str] = None,
# # include_domains: Optional[List[str]] = None,
# # exclude_domains: Optional[List[str]] = None) -> List[Dict[str, Any]]:
# # """
# # Executes a search query using the Tavily API.
# # Args:
# # query (str): The search query.
# # max_results (int): Maximum number of search results to return.
# # include_answer (bool): Whether to include a direct answer synthesized from the search results.
# # include_raw_content (bool): Whether to include the raw HTML content of the searched pages.
# # search_depth (str): Depth of the search, either 'basic' or 'advanced'.
# # topic (str): Category of the search. Can be 'general', 'news', or 'finance'.
# # time_range (Optional[str]): The time range back from the current date to filter results - 'day', 'week', 'month', or 'year'.
# # include_domains (Optional[List[str]]): List of domains to specifically include.
# # exclude_domains (Optional[List[str]]): List of domains to specifically exclude.
# # Returns:
# # List[Dict[str, Any]]: A list of dictionaries, where each dictionary represents a search result.
# # Each result typically contains 'title', 'url', and 'content'.
# # If include_answer is True, it will also include the 'answer' field
# # in the top-level response.
# # """
# # try:
# # response = self.tavily_client.search(
# # query=query,
# # max_results=max_results,
# # include_answer=include_answer,
# # include_raw_content=include_raw_content,
# # search_depth=search_depth,
# # topic=topic,
# # time_range=time_range,
# # include_domains=include_domains,
# # exclude_domains=exclude_domains
# # )
# # return response
# # except Exception as e:
# # return [{"error": f"Tavily Search Error: {e}"}]
# class WebSearchTool(Tool):
# name = "web_search"
# description = """
# A tool to perform comprehensive web searches using the Tavily Search API.
# It can retrieve real-time, accurate, and factual information from across the web.
# Useful for answering questions, gathering information, and reducing hallucinations."""
# inputs = {
# "query": {"type": "string",
# "description": "The search query string."
# }
# }
# output_type = "any"
# def __init__(self, api_key:Optional[str] = None, **kwargs):
# super().__init__(**kwargs)
# if api_key is None:
# api_key = os.getenv("TRAVILY_SECRET_KEY")
# if not api_key:
# raise ValueError(
# "Tavily API key not found. Please set the TAVILY_API_KEY environment variable "
# "or pass it directly to TavilySearchTool(api_key='YOUR_API_KEY')."
# )
# self.tavily_client = TavilyClient(api_key=api_key)
# print('TavilyClient is initiated')
# def forward(self,
# query: str) -> Any:
# try:
# print(f'trying travily search...')
# response = self.tavily_client.search(
# query=query,
# max_results=5,
# search_depth="advanced",
# topic='general',
# )
# #print(response)
# if "results" in response:
# return response.get("results", [])
# else:
# return('try shorter query or different approach.')
# except Exception as e:
# return [{"error": f"Tavily Search Error: {e}"}]
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