An eval is just a test that returns a value
📰 Dev.to · Renaud Cepre
Learn how apte, an async-first test framework for Python, enables unit tests and LLM evals to run in the same environment, streamlining testing and evaluation processes
Action Steps
- Install apte using pip
- Write unit tests for your Python code
- Create LLM evals to test AI model performance
- Run tests and evals in the same environment using apte
- Configure apte to handle async tests and evals
- Test and refine your code and AI models using apte's unified framework
Who Needs to Know This
Developers and AI engineers on a team benefit from apte as it allows them to write and run unit tests and LLM evals in a unified manner, improving overall testing efficiency
Key Insight
💡 apte allows developers to run unit tests and LLM evals in the same environment, simplifying testing and evaluation workflows
Share This
🚀 apte: async-first test framework for Python unifies unit tests & LLM evals!
Key Takeaways
Learn how apte, an async-first test framework for Python, enables unit tests and LLM evals to run in the same environment, streamlining testing and evaluation processes
DeepCamp AI