Evalship
find the flaws in your LLM evals
About
Evalship automatically scans your LLM evaluation scripts, pinpoints failures, and posts detailed comments on pull requests explaining why the test broke. It also suggests prompt and model optimizations to improve performance. The tool is designed for developers who need quick, actionable feedback during model iteration.
The case
Who it is for
Engineers and ML developers who build and test LLM-powered features and need automated, actionable feedback on evaluation failures.
What is broken today
When building LLM applications, developers write evaluation scripts to measure model performance. However, spotting why an eval fails often requires reading logs, debugging code, and manually interpreting results, which is time‑consuming and error‑prone.
What it does about it
Evalship parses the output of LLM evaluation scripts, identifies failure points, and generates pull‑request comments that detail what broke and why. It also analyses prompts and model configurations to suggest optimizations that can improve results.
Why not the obvious alternative
Unlike generic test runners or manual reviews, Evalship provides context‑rich comments directly on pull requests, linking failures to specific code changes. It also automatically recommends prompt tweaks and model adjustments, giving developers immediate, actionable guidance that other tools do not offer.
Details
Questions
- What does Evalship do?
- Evalship automatically scans your LLM evaluation scripts, pinpoints failures, and posts detailed comments on pull requests explaining why the test broke. It also suggests prompt and model optimizations.
- How does Evalship integrate with code reviews?
- Evalship comments directly on every pull request, providing actionable feedback on evaluation failures so developers can see issues in context of the code changes.
- Can I use Evalship with custom evaluation scripts?
- Yes, Evalship works with your existing LLM evaluation scripts, analyzing their outputs to find flaws and generate relevant comments.
- Does Evalship support multiple LLM providers?
- Evalship focuses on the evaluation logic and is agnostic to the underlying LLM provider, so it can work with any model that produces standard evaluation outputs.
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