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83 lines
3.7 KiB
Markdown
83 lines
3.7 KiB
Markdown
---
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title: Assembling and Activating Your CrewAI Team
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description: A comprehensive guide to creating a dynamic CrewAI team for your projects, with updated functionalities including verbose mode, memory capabilities, asynchronous execution, output customization, language model configuration, code execution, integration with third-party agents, and improved task management.
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---
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## Introduction
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Embark on your CrewAI journey by setting up your environment and initiating your AI crew with the latest features. This guide ensures a smooth start, incorporating all recent updates for an enhanced experience, including code execution capabilities, integration with third-party agents, and advanced task management.
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## Step 0: Installation
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Install CrewAI and any necessary packages for your project. CrewAI is compatible with Python >=3.10,<=3.13.
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```shell
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pip install crewai
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pip install 'crewai[tools]'
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```
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## Step 1: Assemble Your Agents
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Define your agents with distinct roles, backstories, and enhanced capabilities. The Agent class now supports a wide range of attributes for fine-tuned control over agent behavior and interactions, including code execution and integration with third-party agents.
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```python
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import os
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from langchain.llms import OpenAI
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from crewai import Agent
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from crewai_tools import SerperDevTool, BrowserbaseTool, ExaSearchTool
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os.environ["OPENAI_API_KEY"] = "Your OpenAI Key"
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os.environ["SERPER_API_KEY"] = "Your Serper Key"
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search_tool = SerperDevTool()
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browser_tool = BrowserbaseTool()
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exa_search_tool = ExaSearchTool()
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# Creating a senior researcher agent with advanced configurations
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researcher = Agent(
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role='Senior Researcher',
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goal='Uncover groundbreaking technologies in {topic}',
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backstory=("Driven by curiosity, you're at the forefront of innovation, "
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"eager to explore and share knowledge that could change the world."),
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memory=True,
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verbose=True,
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allow_delegation=False,
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tools=[search_tool, browser_tool],
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allow_code_execution=False, # New attribute for enabling code execution
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max_iter=15, # Maximum number of iterations for task execution
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max_rpm=100, # Maximum requests per minute
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max_execution_time=3600, # Maximum execution time in seconds
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system_template="Your custom system template here", # Custom system template
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prompt_template="Your custom prompt template here", # Custom prompt template
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response_template="Your custom response template here", # Custom response template
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)
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# Creating a writer agent with custom tools and specific configurations
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writer = Agent(
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role='Writer',
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goal='Narrate compelling tech stories about {topic}',
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backstory=("With a flair for simplifying complex topics, you craft engaging "
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"narratives that captivate and educate, bringing new discoveries to light."),
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verbose=True,
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allow_delegation=False,
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memory=True,
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tools=[exa_search_tool],
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function_calling_llm=OpenAI(model_name="gpt-3.5-turbo"), # Separate LLM for function calling
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)
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# Setting a specific manager agent
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manager = Agent(
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role='Manager',
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goal='Ensure the smooth operation and coordination of the team',
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verbose=True,
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backstory=(
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"As a seasoned project manager, you excel in organizing "
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"tasks, managing timelines, and ensuring the team stays on track."
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),
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allow_code_execution=True, # Enable code execution for the manager
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)
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```
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### New Agent Attributes and Features
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1. `allow_code_execution`: Enable or disable code execution capabilities for the agent (default is False).
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2. `max_execution_time`: Set a maximum execution time (in seconds) for the agent to complete a task.
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3. `function_calling_llm`: Specify a separate language model for function calling.
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