CrewAI Basics
Master CrewAI framework for orchestrating role-playing autonomous AI agents
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0 / 5 completedTasks & Execution Processes
Tasks are the specific jobs you want agents to do. Each task has a description (what to do) and an expected_output (what the result should look like). Tasks are assigned to specific agents, and the Process determines how tasks are executed across the crew.
📋 Creating Tasks
from crewai import Task
research_task = Task(
description="""Conduct a comprehensive analysis of the latest
advancements in AI for 2024. Identify key trends, breakthrough
technologies, and potential industry impacts.""",
expected_output="A 3-paragraph report on 2024 AI trends",
agent=researcher # Assign to specific agent
)
writing_task = Task(
description="""Using the insights from the research, develop an
engaging blog post that highlights the most significant AI
advancements. Make it accessible to a general audience.""",
expected_output="A 4-paragraph blog post in markdown format",
agent=writer
)Note: Tasks run in the order defined. The second task can reference outputs from the first task.
Interactive: Sequential vs Hierarchical Process
Sequential Process
Tasks are executed one at a time, in the order you define. Each agent completes their task before the next one starts. Simple, predictable, and easy to debug.
- • Clear linear workflows (step 1 → step 2 → step 3)
- • When output of one task is input for next
- • Most common process type for content creation
🔧 Task Configuration Options
context (list of tasks)
Reference outputs from previous tasks. Useful when task B needs information from task A.
context=[research_task] # Writer task can access researcher's outputasync_execution (boolean)
Whether the task can run in parallel with others. Set True for independent tasks.
async_execution=True # Run this task concurrentlyoutput_file (string)
Save task output to a file automatically. Great for generating reports, code, or documents.
output_file='report.md' # Save output to file💡 Task Design Tips
- •Be specific: Clear task descriptions get better results than vague instructions
- •Define output format: "Write 3 paragraphs" vs "Write something about AI"
- •Chain tasks logically: Ensure task order makes sense (research before writing)
- •Start with sequential: It's simpler and cheaper than hierarchical