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ML-Learner / python_backend /src /Agents /nodes /question_generator_node.py

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from utils.asyncHandler import asyncHandler
from src.Agents.prompts import QuestionGeneraterPrompt
from src.Agents.llm.llm_loader import llm

from src.Agents.tools.taivily_search_tool import Taivily_search

from src.Agents.models.interview_model import ChatState
from langsmith import traceable

taivily_search=Taivily_search()._tavily_search()

tools=[taivily_search]


@asyncHandler
@traceable(name="question_Generator",tags=["interview:question_generator"])
async def generate_questions(state:ChatState):
    prompt = QuestionGeneraterPrompt.format(topic=state.topic)
    llm_with_tools = llm.bind_tools(tools=tools)
    res = llm_with_tools.invoke(prompt)

    return {'questions_generated':res.content}


	from utils.asyncHandler import asyncHandler
	from src.Agents.prompts import QuestionGeneraterPrompt
	from src.Agents.llm.llm_loader import llm

	from src.Agents.tools.taivily_search_tool import Taivily_search

	from src.Agents.models.interview_model import ChatState
	from langsmith import traceable

	taivily_search=Taivily_search()._tavily_search()

	tools=[taivily_search]


	@asyncHandler
	@traceable(name="question_Generator",tags=["interview:question_generator"])
	async def generate_questions(state:ChatState):
	prompt = QuestionGeneraterPrompt.format(topic=state.topic)
	llm_with_tools = llm.bind_tools(tools=tools)
	res = llm_with_tools.invoke(prompt)

	return {'questions_generated':res.content}