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agent-platform-eval-flywheel

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About agent-platform-eval-flywheel

A

agent-platform-eval-flywheel

Measures and improves the quality of AI models and agents on Google Cloud

Agent Platform eval flywheel is an agent skill for measuring and improving the quality of generative AI models and agents on Google Cloud. It uses the Agent Platform GenAI Evaluation SDK, through client.evals.evaluate(), and follows what the skill calls the Eval Quality Flywheel, a loop in which you evaluate, read the results, change the system and evaluate again. The skill covers creating evaluation datasets from session traces, from pandas DataFrames or by synthetic generation, selecting and configuring evaluation metrics and writing custom ones, and analyzing rubric verdicts, loss patterns and clusters of failures. Based on the results, it suggests concrete code or prompt changes. It can also evaluate a model served on an Agent Platform endpoint, a bring-your-own model, or a Model-as-a-Service model by ID, and it will deploy the model first when needed, using the deployment reference and the endpoint and MaaS evaluation scripts it includes. The skill is useful for teams that want an evidence-based way to tell whether a model or agent change made things better or worse. It is published by Google on skills.sh under the google skills repository, and the listing shows Gen Agent Trust Hub, Socket and Snyk all passing.

View agent-platform-eval-flywheelAll AI Skills apps
Price
Free
Made by
google
Category
AI Skills
Website
github.com/google/skills/agent-platform-eval-flywheel