التخطيط

from crewai import Agent, Crew, Process, Task

researcher = Agent(
    role="AI LLMs Senior Data Researcher",
    goal="Uncover cutting-edge developments in AI LLMs",
    backstory="You find the most relevant new work in AI LLMs.",
)

reporting_analyst = Agent(
    role="AI LLMs Reporting Analyst",
    goal="Create detailed reports based on AI LLMs data analysis and research findings",
    backstory="You turn research findings into clear reports.",
)

research_task = Task(
    description="Conduct a thorough research about AI LLMs",
    expected_output="A list with 10 bullet points of the most relevant information about AI LLMs",
    agent=researcher,
)

reporting_task = Task(
    description="Review the context you got and expand each topic into a full section for a report",
    expected_output="A fully fledged report with the main topics, each with a full section of information. Formatted as markdown.",
    agent=reporting_analyst,
)

# Assemble your crew with planning capabilities
my_crew = Crew(
    agents=[researcher, reporting_analyst],
    tasks=[research_task, reporting_task],
    process=Process.sequential,
    planning=True,
)

# Run the crew
my_crew.kickoff()

[2024-07-15 16:49:11][INFO]: Planning the crew execution
**Step-by-Step Plan for Task Execution**

**Task Number 1: Conduct a thorough research about AI LLMs**

**Agent:** AI LLMs Senior Data Researcher

**Agent Goal:** Uncover cutting-edge developments in AI LLMs

**Task Expected Output:** A list with 10 bullet points of the most relevant information about AI LLMs

**Task Tools:** None specified

**Agent Tools:** None specified

**Step-by-Step Plan:**

1. **Define Research Scope:**

   - Determine the specific areas of AI LLMs to focus on, such as advancements in architecture, use cases, ethical considerations, and performance metrics.

2. **Identify Reliable Sources:**

   - List reputable sources for AI research, including academic journals, industry reports, conferences (e.g., NeurIPS, ACL), AI research labs (e.g., OpenAI, Google AI), and online databases (e.g., IEEE Xplore, arXiv).

3. **Collect Data:**

   - Search for the latest papers, articles, and reports published in 2024 and early 2025.
   - Use keywords like "Large Language Models 2025", "AI LLM advancements", "AI ethics 2025", etc.

4. **Analyze Findings:**

   - Read and summarize the key points from each source.
   - Highlight new techniques, models, and applications introduced in the past year.

5. **Organize Information:**

   - Categorize the information into relevant topics (e.g., new architectures, ethical implications, real-world applications).
   - Ensure each bullet point is concise but informative.

6. **Create the List:**

   - Compile the 10 most relevant pieces of information into a bullet point list.
   - Review the list to ensure clarity and relevance.

**Expected Output:**

A list with 10 bullet points of the most relevant information about AI LLMs.

---

**Task Number 2: Review the context you got and expand each topic into a full section for a report**

**Agent:** AI LLMs Reporting Analyst

**Agent Goal:** Create detailed reports based on AI LLMs data analysis and research findings

**Task Expected Output:** A fully fledged report with the main topics, each with a full section of information. Formatted as markdown without '```'

**Task Tools:** None specified

**Agent Tools:** None specified

**Step-by-Step Plan:**

1. **Review the Bullet Points:**
   - Carefully read through the list of 10 bullet points provided by the AI LLMs Senior Data Researcher.

2. **Outline the Report:**
   - Create an outline with each bullet point as a main section heading.
   - Plan sub-sections under each main heading to cover different aspects of the topic.

3. **Research Further Details:**
   - For each bullet point, conduct additional research if necessary to gather more detailed information.
   - Look for case studies, examples, and statistical data to support each section.

4. **Write Detailed Sections:**
   - Expand each bullet point into a comprehensive section.
   - Ensure each section includes an introduction, detailed explanation, examples, and a conclusion.
   - Use markdown formatting for headings, subheadings, lists, and emphasis.

5. **Review and Edit:**
   - Proofread the report for clarity, coherence, and correctness.
   - Make sure the report flows logically from one section to the next.
   - Format the report according to markdown standards.

6. **Finalize the Report:**
   - Ensure the report is complete with all sections expanded and detailed.
   - Double-check formatting and make any necessary adjustments.

**Expected Output:**
A fully fledged report with the main topics, each with a full section of information. Formatted as markdown without '```'.