CrewaiGcp Crew

Welcome to the CrewaiGcp Crew project, powered by crewAI. This template is designed to help you set up a multi-agent AI system with ease, leveraging the powerful and flexible framework provided by crewAI. Our goal is to enable your agents to collaborate effectively on complex tasks, maximizing their collective intelligence and capabilities.

Installation

Ensure you have Python >=3.10 <=3.13 installed on your system. This project uses Poetry for dependency management and package handling, offering a seamless setup and execution experience.

If you haven't already, install Poetry:
```
pip install poetry
```
reate and activate a virtual environment to isolate the dependencies from your global Python environment.
```
python3 -m venv .venv && source .venv/bin/activate
```
Navigate to your project directory and install the dependencies: Start by locking the dependencies and then installing them.
```
poetry lock
```
and then
```
poetry install
```

Customizing

Modify src/crewai_gcp/config/agents.yaml to define your agents
Modify src/crewai_gcp/config/tasks.yaml to define your tasks
Modify src/crewai_gcp/crew.py to add your own logic, tools and specific args
Modify src/crewai_gcp/main.py to add custom inputs for your agents and tasks

Running the Project

To kickstart your crew of AI agents and begin task execution, run this from the root folder of your project:

poetry run crewai_gcp

This command initializes the crewai-gcp Crew, assembling the agents and assigning them tasks as defined in your configuration.

This example, unmodified, will run the create a report.md file with the output of a research on LLMs in the root folder.

Understanding Your Crew

The crewai-gcp Crew is composed of multiple AI agents, each with unique roles, goals, and tools. These agents collaborate on a series of tasks, defined in config/tasks.yaml, leveraging their collective skills to achieve complex objectives. The config/agents.yaml file outlines the capabilities and configurations of each agent in your crew.

Addons

Gemini

The following libraries and configurations enable Gemini in CrewAI.

For langchain support, install the following using poetry

poetry add langchain-core
poetry add langchain-google-vertexai

In src/crewai_gcp/config/agents.yaml you can configure each agent with Gemini support by adding llm: gemini_llm to each agent. See example below:

researcher:
llm: gemini_llm
role: >
    {topic} Senior Data Researcher
goal: >
    Uncover cutting-edge developments in {topic}
backstory: >
    You're a seasoned researcher with a knack for uncovering the latest
    developments in {topic}. Known for your ability to find the most relevant
    information and present it in a clear and concise manner.

In src/crewai_gcp/crew.py add the following decorator @llm to define the Gemini model on Vertex AI.

Traceloop

Add the following libraries to enable tracing in your application.

poetry add traceloop-sdk
poetry add opentelemetry-exporter-gcp-trace

Support

For support, questions, or feedback regarding the CrewaiGcp Crew or crewAI.

Visit our documentation
Reach out to us through our GitHub repository
Join our Discord
Chat with our docs

Let's create wonders together with the power and simplicity of crewAI.

anifort / crewai-on-vertexai