GEPA
6.3#15 in ai prompt generatorsFree planFree planAPISelf-hosted
VisitGEPA vs Latitude
What both publish
| Fact | GEPA | Latitude |
|---|---|---|
| Integrations | The project lists integrations with DSPy, MLflow, Comet ML Opik, Pydantic AI, OpenAI Cookbook, Hugging Face Cookbook, and Google ADK. | Documented integrations include OpenAI, Anthropic, Amazon Bedrock, Vercel AI SDK, LangChain, Claude Code, Slack, GitHub, Linear, webhooks, and OpenTelemetry. |
| License | The GitHub repository lists the project under the MIT license. | Latitude is fully open source under the permissive MIT license. |
| Purpose | GEPA is a framework for optimizing prompts, code, agent architectures, configurations, and other text parameters against evaluation metrics. | Latitude is an open-source, MIT-licensed platform for improving production AI agents by capturing agent traffic, surfacing repeated failures, and helping teams monitor and fix them. |
| What it does | GEPA is an LLM-based text evolution engine for optimizing prompts, code, configurations, agent architectures, policies, and other text-representable artifacts. | Latitude monitors production AI agents, identifies recurring failures, and can dispatch coding agents to implement fixes. |
GEPA plans
- GEPAFree
Latitude plans
- StarterFree
- Pro$99 a month
- EnterprisePriced on request
Pick GEPA if…
GEPA may suit developers optimizing systems with expensive rollouts, scarce data, or API-only models. It is also relevant when interpretable optimization traces are useful.
Pick Latitude if…
Latitude suits teams monitoring production AI agents and tracking recurring failures or regressions. Its plan descriptions position Starter for teams establishing AI infrastructure and Pro for collaborative AI product teams scaling up.