Promptfoo's quality assessment system utilizes a test-driven development methodology with a major workflow:
- Developers start by defining core use cases and possible failure modes
- Prepare a representative set of prompts and test cases
- Specify prompts, variables, and API providers to be tested via a YAML configuration file
- utilization
promptfoo evaluateEvaluation of order execution
The assessment focuses on the following dimensions:
- Response accuracy: Whether the model output meets expectations
- consistency: Whether the same input produces a stable output
- safety: Whether it produces harmful or biased content
- performance: Includes response time and resource consumption
- practicality: Usability of outputs in real-world scenarios
Evaluation results can be visualized in a web UI or exported to a structured format for further analysis. Developers can use this data to select the model and cueing strategy that best suits their use case.
This answer comes from the articlePromptfoo: Providing a Safe and Reliable LLM Application Testing ToolThe
May not be reproduced without permission:AI productivity tools " How does promptfoo's quality assessment feature work? What specific assessment dimensions are included?
