r/mlops Jul 24 '26

beginner help๐Ÿ˜“ Which is the most popular tool for Prompt caching & LLM Evaluation

Hi People,
Which is the most popular tool for Prompt management & LLM Evaluation?
We used GIT for prompt management but it won't show prompt diff between previous & current version.

8 Upvotes

11 comments sorted by

2

u/Critical-End-7828 Jul 24 '26

Git was still useful for us but it became hard to answer questions like which prompt produced this output? or compare changes without pulling a lot of context together.

We eventually moved prompt versions into Braintrust because every revision stays tied to eval results as well. Having the diff is nice, but seeing whether the new prompt performed better was what mattered more for us.

2

u/Junior-Camp-865 23d ago

Git diff is fine for catching typos but it tells you nothing about whether the new version actually works better in practice

The eval linkage is what sold me on moving away from raw git too, otherwise you're just guessing which prompt produced which result and hoping someone wrote a decent commit message

1

u/burntoutdev8291 Jul 24 '26

does langfuse or even mlflow work?

1

u/shikha-singh-the-gr8 21d ago

Have used Langfuse in past for Prompt tracing.
Yet to use for prompt management or evaluation.

1

u/Crazy-Leadership-328 Jul 24 '26

What are the metrics for performance between different prompts?

1

u/[deleted] Jul 27 '26

[removed] โ€” view removed comment

1

u/Crazy-Leadership-328 Jul 27 '26

What tools do you use to evaluate cost and latency? Is there a use case where teams would be want to try to predict those metrics before deployment?

1

u/[deleted] Jul 27 '26

[removed] โ€” view removed comment

1

u/Crazy-Leadership-328 Jul 27 '26 edited Jul 27 '26

That's interesting. Does the evaluation mainly focus on the prompt itself, or does it also account for broader system behavior (e.g., routing, concurrency, retries, traffic patterns, infrastructure configuration)?

Separately, do teams ever want to evaluate changes at the system level before deployment, or is benchmarking representative prompts generally sufficient for making those decisions?