Spaces:
Sleeping
Sleeping
File size: 1,753 Bytes
e521af9 fbb910a e521af9 fbb910a e521af9 7d1e393 026a398 e521af9 | 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 | """
Module for configuring and creating tools for the LangGraph agent.
"""
from typing import Dict, Any, List, Tuple
from langchain_community.tools.tavily_search import TavilySearchResults
from langchain_community.tools.arxiv.tool import ArxivQueryRun
from langchain_community.tools import DuckDuckGoSearchRun
from langchain_openai import ChatOpenAI
def create_tools(config: Dict[str, Any]) -> Tuple[List, ChatOpenAI]:
"""
Create LangChain tools and model for use in the agent.
Args:
config: Configuration dictionary
Returns:
Tuple containing:
- List of tools
- ChatOpenAI model
"""
# Initialize tools with error handling
try:
tavily_tool = TavilySearchResults(
max_results=config["tavily_max_results"],
api_key=config["tavily_api_key"]
)
except Exception as e:
print(f"Error initializing Tavily: {e}")
tavily_tool = None
# Initialize ArXiv tool
arxiv_tool = ArxivQueryRun()
# Initialize DuckDuckGo search tool
duckduckgo_tool = DuckDuckGoSearchRun()
# Create the tool belt
tool_belt = []
if tavily_tool:
tool_belt.append(tavily_tool)
if arxiv_tool:
tool_belt.append(arxiv_tool)
if duckduckgo_tool:
tool_belt.append(duckduckgo_tool)
# Initialize the OpenAI model
model = ChatOpenAI(
model=config["model_name"],
temperature=config["temperature"],
api_key=config["openai_api_key"],
callbacks=None # Disable default callbacks that might cause tracing issues
)
# Bind tools to the model
model_with_tools = model.bind_tools(tool_belt)
return tool_belt, model_with_tools |