Agenta is an open-source LLMOps platform that helps developers and product teams build reliable LLM applications.
Agenta covers the entire LLM development lifecycle: prompt management, evaluation, and observability.
Teams often struggle with prompt collaboration. They keep prompts in code where subject matter experts cannot edit them. Or they use spreadsheets in an unreliable process.
Agenta organizes prompts for your team. Subject matter experts can collaborate with developers without touching the codebase. Developers can version prompts and deploy them to production.
The playground lets teams experiment with prompts. You can load traces and test sets. You can test prompts side by side.
Most teams lack a systematic evaluation process. They make random prompt changes based on vibes. Some changes improve quality but break other cases because LLMs are stochastic.
Agenta provides one place to evaluate systematically. Teams can run three types of evaluation:
- Automatic evaluation with LLMs at scale before production
- Human annotation where subject matter experts review results and provide feedback to AI engineers
- Online evaluation for applications already in production
Both subject matter experts and engineers can run evaluations from the UI.
Agenta helps you understand what happens in production. You can capture user feedback through an API (thumbs up or implicit signals). You can debug agents and applications with tracing to see what happens inside them.
Track costs over time. Find edge cases where things fail. Add those cases to your test sets. Have subject matter experts annotate the results.
