Getting input_type and cache_handler error using manager_agent

CrewAI Community Support
1

Exception: An error occurred while training the crew: 3 validation errors for Crew
manager_agent.id
This field is not to be set by the user. [type=may_not_set_field, input_value=UUID(‘28385e26-7f3a-4e39-9e02-61521420fc76’), input_type=UUID]
manager_agent.agent_executor
Input should be an instance of InstanceOf [type=is_instance_of, input_value=<crewai.agents.crew_agent…r object at 0x113874e00>, input_type=CrewAgentExecutor]
Input should be an instance of CacheHandler [type=is_instance_of, input_value={}, input_type=dict]

procurement_crew.py
from crewai import Agent, Crew, Process, Task
from crewai.project import CrewBase, agent, crew, task
from crewai_tools import EXASearchTool, ScrapeWebsiteTool, FirecrawlScrapeWebsiteTool, SerperDevTool
from produto_fornecedor.modelos import Fornecedores, ValidaWebsite
from langchain_openai import ChatOpenAI
from dotenv import load_dotenv
load_dotenv()

@CrewBase
class TimeSuprimentos:
“”“TimeSuprimentos”“”

agents_config = "config/agents.yaml"
tasks_config = "config/tasks.yaml"

##Chamando agentes TimeSuprimentos

@agent
def especialista_fornecedor(self) -> Agent:
    return Agent(
        config=self.agents_config['especialista_fornecedor'],
        tools=[
            EXASearchTool(api_key='30b2cb5f-bc5b-42f4-81d5-339921e42100'),
            FirecrawlScrapeWebsiteTool(api_key='fc-343c4fc4962d49959821d91af963f14e'),
        ],
        verbose=True,
        allow_delegation=True,
        memory=True,
        cache=True
    )

@agent  
def especialista_informacoes(self) -> Agent:
    return Agent(
        config=self.agents_config['especialista_informacoes'],
        tools=[
            EXASearchTool(api_key='30b2cb5f-bc5b-42f4-81d5-339921e42100'),
            FirecrawlScrapeWebsiteTool(api_key='fc-343c4fc4962d49959821d91af963f14e'),
        ],
        verbose=True,
        allow_delegation=True,
        memory=True,
        cache=True
    )

##Chamando tarefas TimeSuprimentos
@task
def pesquisar_fornecedores(self) -> Task:
    return Task(
        config=self.tasks_config['pesquisar_fornecedores'],
        output_file='fornecedores.json',
    )

@task
def pesquisar_informacoes(self) -> Task:
    return Task(
        config=self.tasks_config['pesquisar_informacoes'],
        output_file='fornecedores_validados.json',
    )

@crew
def crew(self) -> Crew:
    """Creates the Research Crew"""
    # To learn how to add knowledge sources to your crew, check out the documentation:
    # https://docs.crewai.com/concepts/knowledge#what-is-knowledge

    return Crew(
        agents=self.agents,  # Automatically created by the @agent decorator
        tasks=self.tasks,  # Automatically created by the @task decorator
        process=Process.hierarchical,
        manager_agent=Agent(
            role="Gerente",
            goal="Gerenciar a equipe de pesquisa",
            backstory="O gerente é responsável por coordenar a equipe de pesquisa e garantir que os objetivos sejam alcançados.",
            verbose=True,
            allow_delegation=True,
            ),
        verbose=True
    )

train.py

from produto_fornecedor.crews.procurement_crew.procurement_crew import TimeSuprimentos

n_iterations = 1
inputs = {“materia_prima”: “Master Negro de Fumo”,“resumo_materia_prima”}

try:
TimeSuprimentos().crew().train(
n_iterations=n_iterations,
inputs=inputs,
filename=file_name
)

except Exception as e:
raise Exception(f"An error occurred while training the crew: {e}")

Anyone knows what might be the problem?