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This example demonstrates how to use CrewAI with promptfoo, including multi-agent coordination and structured output evaluation.
You can run this example with:
npx promptfoo@latest init --example crewai
This example requires the following environment variables:
OPENAI_API_KEY
– Your OpenAI API key (required by CrewAI)You can set this in a .env
file or directly in your environment.
Install Python packages:
pip install crewai openai python-dotenv
Install promptfoo CLI:
npm install -g promptfoo
agent.py
: Defines a recruitment agent using CrewAIprovider.py
: Wraps the agent for promptfoo integrationpromptfooconfig.yaml
: Configures prompts, providers, and tests for evaluationRun the evaluation:
promptfoo eval
Explore results in browser:
promptfoo view
Press p or to see the previous file or, n or to see the next file
Browsing data directories saved to S3 is possible with DAGsHub. Let's configure your repository to easily display your data in the context of any commit!
promptfoo is now integrated with AWS S3!
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Browsing data directories saved to Google Cloud Storage is possible with DAGsHub. Let's configure your repository to easily display your data in the context of any commit!
promptfoo is now integrated with Google Cloud Storage!
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Browsing data directories saved to Azure Cloud Storage is possible with DAGsHub. Let's configure your repository to easily display your data in the context of any commit!
promptfoo is now integrated with Azure Cloud Storage!
Are you sure you want to delete this access key?
Browsing data directories saved to S3 compatible storage is possible with DAGsHub. Let's configure your repository to easily display your data in the context of any commit!
promptfoo is now integrated with your S3 compatible storage!
Are you sure you want to delete this access key?