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Proper README example (#48)
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50
README.md
50
README.md
@@ -34,32 +34,59 @@ pip install crewai
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2. **Setting Up Your Crew**:
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```python
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```python
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import os
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from crewai import Agent, Task, Crew, Process
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os.environ["OPENAI_API_KEY"] = "Your Key"
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# Define your tools, custom or not.
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# Install duckduckgo-search for this example:
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#
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# !pip install -U duckduckgo-search
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from langchain.tools import DuckDuckGoSearchRun
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search_tool = DuckDuckGoSearchRun()
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# Define your agents with roles and goals
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researcher = Agent(
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role='Researcher',
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goal='Discover new insights',
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backstory="You're a world class researcher working on a major data science company",
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role='Senior Research Analyst',
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goal='Uncover cutting-edge developments in AI and data science in',
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backstory="""You are a Senior Research Analyst at a leading tech think tank.
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Your expertise lies in identifying emerging trends and technologies in AI and
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data science. You have a knack for dissecting complex data and presenting
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actionable insights.""",
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verbose=True,
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allow_delegation=False
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allow_delegation=False,
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tools=[search_tool]
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# llm=OpenAI(temperature=0.7, model_name="gpt-4"). It uses langchain.chat_models, default is GPT4
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)
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writer = Agent(
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role='Writer',
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goal='Create engaging content',
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backstory="You're a famous technical writer, specialized on writing data related content",
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role='Tech Content Strategist',
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goal='Craft compelling content on tech advancements',
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backstory="""You are a renowned Tech Content Strategist, known for your insightful
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and engaging articles on technology and innovation. With a deep understanding of
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the tech industry, you transform complex concepts into compelling narratives.""",
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verbose=True,
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allow_delegation=False
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allow_delegation=True
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)
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# Create tasks for your agents
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task1 = Task(description='Search and investigate the latest AI trends', agent=researcher)
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task2 = Task(description='Write a blog post on AI advancements', agent=writer)
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task1 = Task(
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description="""Conduct a comprehensive analysis of the latest advancements in AI in 2024.
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Identify key trends, breakthrough technologies, and potential industry impacts.
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Compile your findings in a detailed report.""",
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agent=researcher
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)
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task2 = Task(
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description="""Using the insights from the researcher's report, develop an engaging blog
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post that highlights the most significant AI advancements.
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Your post should be informative yet accessible, catering to a tech-savvy audience.
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Aim for a narrative that captures the essence of these breakthroughs and their
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implications for the future.""",
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agent=writer
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)
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# Instantiate your crew with a sequential process
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crew = Crew(
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@@ -71,6 +98,9 @@ crew = Crew(
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# Get your crew to work!
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result = crew.kickoff()
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print("######################")
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print(result)
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```
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Currently the only supported process is `Process.sequential`, where one task is executed after the other and the outcome of one is passed as extra content into this next.
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