Lessons' Exercises from DeepLearning.ai - Multi AI Agent Systems with crewAI Course

This project uses uv as package manager. Is developed in a Windows 11 operating system and with python version 3.13.5. Also uses Google GEMINI as LLM for all agents.

Pre-requrements

1. Install uv

   powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"

Setup intructions

1. Create environment uv venv --python 3.13
2. Activate environment source .venv/Scripts/activate
3. Install dependencies uv pip install .
4. Set up environment variables cp .env.example .env

    GEMINI_API_KEY=your_gemini_api_key // Get it from: https://aistudio.google.com/apikey
    GOOGLE_API_KEY=your_gemini_api_key
    MODEL=gemini/gemini-2.0-flash
    SERPER_API_KEY=your_serper_api_key // Get it from: https://serper.dev/
    OPENAI_API_KEY=your_openai_api_key // Get it from: https://platform.openai.com/api-keys
    OPENAI_MODEL=gpt-3.5-turbo 

Run lessons

Lesson 1: Article writer system

uv run python -m src.article_writer.main

Lesson 2: Customer support system

uv run python -m src.customer_support.main

Lesson 3: Customer outreach system

uv run python -m src.customer_outreach.main

Lesson 4: Event planning system

Because last CrewAI updates nly allows at most one asynchronous last task, the logistic task is not marked as asyncronous. Otherwise this error is prompt it:

An error occurred while running the crew: 1 validation error for Crew
  The crew must end with at most one asynchronous task. [type=async_task_count, input_value={'agents': [Agent(role=Ve...own.)], 'verbose': True}, input_type=dict]

uv run python -m src.event_planning.main

Lesson 5: Financial Analysis system

uv run python -m src.financial_analysis.main

Lesson 6: Tailor Job application system

uv run python -m src.tailor_job_applications.main

Troubleshoot errors

If you face issues installing crewai, refer to the official CrewAI installation instructions and issues.