튜토리얼: CrewAI로 AI 에이전트 구축하기

export SERPER_API_KEY=your_serper_api_key_here
export OPENAI_API_KEY=your_openai_api_key_here

$env:SERPER_API_KEY="your_serper_api_key_here"
$env:OPENAI_API_KEY="your_openai_api_key_here"

pip install 'crewai[tools]' langchain-openai weave

import os
import warnings
from datetime import datetime
from textwrap import dedent
from crewai import Agent, Crew, Process, Task
from crewai_tools import SerperDevTool
from langchain_openai import ChatOpenAI

import weave
weave.init("crewai-ai-news-agent")

search_tool = SerperDevTool()

researcher = Agent(
    role="AI News Researcher",
    backstory="An AI-focused journalist specializing in breaking news and emerging trends.",
    goal="Find the most recent AI news from the last 24 hours. Note --> IF NEWS IS NOT WITHIN THE LAST FEW DAYS, DO NOT INCLUDE IT!!!!!!!",
    tools=[search_tool],
    allow_delegation=False,
    verbose=True,
    max_iter=3,
    llm=ChatOpenAI(model_name="gpt-4o-mini", temperature=0.8)
)

story_researcher = Agent(
    role="AI Story Investigator",
    backstory="A deep-research AI journalist who expands on initial news findings, gathering additional context, sources, and insights for each AI story.",
    goal="For each news story found, conduct a deeper investigation to retrieve additional information, sources, and full context. Write **at least 300 words** for each story, including details, expert opinions, and possible implications. Ensure you provide the full URL of the main source.",
    tools=[search_tool],
    allow_delegation=False,
    verbose=True,
    max_iter=5,
    llm=ChatOpenAI(model_name="gpt-4o-mini", temperature=0.7)
)

research_task = Task(
    description=dedent("""
        Search for the most recent AI news published in the last 24 hours.
        Extract the **5 most important developments**, including company names, new AI models, breakthroughs, and market trends.

        **Query Parameters:**
        - Search for AI-related news.
        - Filter results to only include content from the last 24 hours.

        **Example Output Format:**
        1. OpenAI announces GPT-5 development with a new multimodal framework. (Source: TechCrunch - https://techcrunch.com/example)
        2. Google DeepMind unveils Gemini 1.5 with extended context length. (Source: The Verge - https://theverge.com/example)
        3. NVIDIA releases new AI GPUs optimized for deep learning. (Source: Reuters - https://reuters.com/example)
    """),
    expected_output="A list of the 10 most important AI news updates from the last 24 hours, each with a direct source URL.",
    agent=researcher,
    output_file="latest_ai_news.md"
)

story_research_task = Task(
    description=dedent("""
        For each AI news story identified, perform **detailed research** to provide a comprehensive 300-word analysis.

        **Steps:**
        1. Search for additional details, expert opinions, technical specifications, and market reactions for each news story.
        2. Write a **detailed 300-word breakdown** of each AI news update.
        3. Verify and include **full URLs** for all primary sources.

        **Example Output Format:**
        ### OpenAI's GPT-5 Development
        OpenAI has officially confirmed the development of GPT-5, its next-generation language model. The company states that this iteration will be highly multimodal, improving text, image, and potentially even video understanding. According to a TechCrunch interview with OpenAI CEO Sam Altman, GPT-5 is expected to have a significantly larger context window, allowing for improved memory and long-term coherence.

        Industry experts speculate that OpenAI will release GPT-5 in late 2025, focusing on fine-tuning multimodal capabilities. Some researchers have raised concerns about AI alignment, urging OpenAI to implement stronger safeguards against biases and hallucinations.

        Major competitors, including Google DeepMind and Anthropic, are also preparing advanced AI models in response. DeepMind’s Gemini 1.5 is expected to launch before GPT-5, increasing competition in the space.

        **Sources:**
        - TechCrunch: https://techcrunch.com/example
        - MIT Technology Review: https://technologyreview.com/example
        - OpenAI Blog: https://openai.com/example

        Repeat this level of depth for each of the 10 AI news stories.
    """),
    expected_output="A detailed 300-word analysis for each AI news story, with full source citations.",
    agent=story_researcher,
    context=[research_task],
    output_file="expanded_ai_news.md"
)

crew = Crew(
    agents=[researcher, story_researcher],
    tasks=[research_task, story_research_task],
    verbose=True,
    process=Process.sequential
)

def run():
    inputs = {
        "topic": "Latest AI News",
        "current_year": str(datetime.now().year),
        "current_month": str(datetime.now().month),
        "current_day": str(datetime.now().day)
    }

    result = crew.kickoff(inputs=inputs)

    print("\n\n### Final AI News Report ###\n")
    print(result)

    print("\n\n### Task Outputs ###\n")
    for task in crew.tasks:
        if task.output_file:
            with open(task.output_file, "r") as f:
                print(f"Task: {task.description}\nOutput:\n{f.read()}\n{'-'*40}")

if __name__ == "__main__":
    run()

description=dedent("""
    Search for the most recent AI news published in the last 24 hours.
    Extract the **5 most important developments**, including company names, new AI models, breakthroughs, and market trends.

    **Query Parameters:**
    - Search for AI-related news.
    - Filter results to only include content from the last 24 hours.

    **Example Output Format:**
    1. OpenAI announces GPT-5 development with a new multimodal framework. (Source: TechCrunch - https://techcrunch.com/example)
    2. Google DeepMind unveils Gemini 1.5 with extended context length. (Source: The Verge - https://theverge.com/example)
    3. NVIDIA releases new AI GPUs optimized for deep learning. (Source: Reuters - https://reuters.com/example)
""")

description=dedent("""
    For each AI news story identified, perform **detailed research** to provide a comprehensive 300-word analysis.

    **Steps:**
    1. Search for additional details, expert opinions, technical specifications, and market reactions for each news story.
    2. Write a **detailed 300-word breakdown** of each AI news update.
    3. Verify and include **full URLs** for all primary sources.

    **Example Output Format:**
    ### OpenAI's GPT-5 Development
    OpenAI has officially confirmed the development of GPT-5, its next-generation language model. The company states that this iteration will be highly multimodal, improving text, image, and potentially even video understanding. According to a TechCrunch interview with OpenAI CEO Sam Altman, GPT-5 is expected to have a significantly larger context window, allowing for improved memory and long-term coherence.

    Industry experts speculate that OpenAI will release GPT-5 in late 2025, focusing on fine-tuning multimodal capabilities. Some researchers have raised concerns about AI alignment, urging OpenAI to implement stronger safeguards against biases and hallucinations.

    Major competitors, including Google DeepMind and Anthropic, are also preparing advanced AI models in response. DeepMind’s Gemini 1.5 is expected to launch before GPT-5, increasing competition in the space.

    **Sources:**
    - TechCrunch: https://techcrunch.com/example
    - MIT Technology Review: https://technologyreview.com/example
    - OpenAI Blog: https://openai.com/example
""")