Tech riderRev. 21 Sept 2026
  1. 1Runs onAPI, self-hosted, Web
  2. 2CostsNot stated by the maker
  3. 3Model supportmultiple
  4. 4Optimization modeautomated
  5. 5Prompt testingYes
4 lines stated Written from the maker's own pages: gepazilla.com
The GEPAzilla homepage

Overview

GEPAzilla is ranked #16 of 29 in AI prompt generators on Specifiction. It runs on API, Self-hosted, Web.

Compared on AI prompt generators

Model support
multiplegepazilla.com
Optimization mode
automatedgepazilla.com
Prompt testing
Yesgepazilla.com

Facts

Purpose
GEPAzilla is an open-source GEPA prompt optimizer that iterates on system prompts using datasets and scorers.gepazilla.com · 4 Oct 2026
Dataset input
You can load your own dataset or start with the included sample dataset.gepazilla.com · 4 Oct 2026
Scoring
It supports combining deterministic checks with LLM judges, with configurable scorer weights and duplicates.gepazilla.com · 4 Oct 2026
Telemetry
The maker says run telemetry stays on your machine and includes tokens, routing, costs, and errors.gepazilla.com · 4 Oct 2026
Validation
Validation rows are kept out of reflection and used to rank candidate prompts on the Pareto frontier.gepazilla.com · 4 Oct 2026
Diagnostics
Results include scorer failure rates, averages, and common notes, alongside candidate prompts and iteration trends.github.com · 4 Oct 2026
Model access
The project requires users to supply an AI Gateway API key for GEPA runs, scorer previews, and model discovery; its README specifies Vercel AI Gateway.github.com · 4 Oct 2026
Data handling
The README says telemetry events are not sent to a remote service and run data is not exfiltrated.github.com · 4 Oct 2026
Data import limit
Dataset tools currently support copying or pasting JSON payloads from the clipboard.github.com · 4 Oct 2026
Deployment
The project is a standard Next.js application that can be built and started with pnpm.github.com · 4 Oct 2026
License
The project is released under the MIT License.github.com · 4 Oct 2026
Intended users
The maker describes the console as a way for curious builders to experiment with prompt optimization using their own API key.github.com · 4 Oct 2026

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Sources