Preserving model parameters and prompts while testing models[ playground]

[gamousquesORT]

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Hi, I am trying to prototype a RAG App and to test different models I have to set the model parameters (ej. temperature) and copy the system prompt and the user prompt on each model. It is really time-consuming. I think it could be nice to have a way of preserving that model parameters and the prompts while switching models. Going further to a previous suggestion (https://github.com/orgs/community/discussions/139295#discussion-7214680), it could be nice to have tokens used, latency, and other metrics to evaluate the model performance.

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[matthewisabel]

These are all coming soon, in particular stored prompts / params

[ogulcanaydogan]

Preserving model parameters and prompts when switching models would save a lot of time, especially during iterative testing in RAG apps. I’ve faced the same issue when needing to re-enter settings every time, and it would definitely streamline the workflow.

As for metrics like token usage, latency, and performance evaluation—having those built-in would be incredibly helpful. It would allow for more effective model comparison and faster optimization.

Hopefully, the team can consider implementing both of these features in future updates. Anyone else feel this would improve their workflow?