Limitation: Agentic tasks can only output one file

[codebrain001]

I have encountered a limitation in the current implementation of agentic tasks: they are only capable of producing a single output file. In certain scenarios, an agent might need to generate multiple files as output, which is not currently supported.

Consider a scenario where an agent is tasked with processing a dataset and generating both a summary report and a pydantic model of the data

[theCyberTech]

why not use a second task? An agent can have multiple tasks assigned, for example:

from crewai import Agent, Task, Crew
from dotenv import load_dotenv
from langchain_groq import ChatGroq
from pydantic import BaseModel, Field

load_dotenv()

llm = ChatGroq(
    temperature=1,
    model="llama3-70b-8192",
    # api_key="" # Optional if not set as an environment variable
)
# Define a Pydantic model for the structured output
class AITrendsReport(BaseModel):
    top_trends: List[str] = Field(description="List of top AI trends")
    impact_areas: List[str] = Field(description="Areas most impacted by AI")
    future_prediction: str = Field(description="Prediction for AI in the next 5 years")

# Create an agent
ai_analyst = Agent(
    role='AI Trend Analyst',
    goal='Analyze and report on AI trends and their impact',
    backstory='You are an experienced AI analyst with deep knowledge of the field.',
    llm=llm
)

# Task 1: Save output as a normal text file
task1 = Task(
    description='Write a brief history of AI development',
    expected_output='A chronological summary of key AI milestones',
    agent=ai_analyst,
    output_file='ai_history.txt'  # This will save as a plain text file
)

# Task 2: Save output as a file of Pydantic type
task2 = Task(
    description='Analyze current AI trends and their potential impact',
    expected_output='A structured report on current AI trends and their implications',
    agent=ai_analyst,
    output_pydantic=AITrendsReport,  # Use the Pydantic model for structured output
    output_file='ai_trends_report.json'  # This will save as a JSON file
)

# Create a crew with these tasks
crew = Crew(
    agents=[ai_analyst],
    tasks=[task1, task2]
)

# Run the crew
result = crew.kickoff()```

This will output a txt file and  json file based on the pydantic model