Coding · Intermediate
Automated model evaluation runner
Evaluate model prompt variations and outputs against structured test datasets and typed criteria
Use with BotBento Markdownالعربية
Opens BotBento. Paste the prompt into a bot; nothing is preconfigured.
- When something happensPrompt changes pushed
- ThenRun typed evaluation test suite
- ResultEvaluation report with pass rates
Test generative model outputs against standardized datasets using structured validation criteria. The bot runs designated evaluation pipelines, verifies output schemas and assertion constraints, highlights regressions across prompt changes, and formats clear diagnostic reports for development teams.
Prompt to start with
BotBentoRecommended
Execute the evaluation harness against recent prompt or dataset updates in the repository. Compare model outputs against required types, schema rules, and behavioral assertions. Group failures by category and log full input-output traces. Draft a summary report for review, but wait for user approval before posting any comments to pull requests or updating benchmark baselines.