Agenta

What is Agenta?

Agenta is an open-source LLMOps platform for teams developing LLM applications and agents. It brings prompt management, evaluation, observability, debugging, and feedback into one workflow so product managers, developers, and domain experts can work from a shared source of truth.

The platform is designed to replace scattered prompts and informal testing with versioned experiments and measurable evaluation. Teams can compare prompts and models, preserve prompt history, run automated or human evaluations, trace application requests, turn production traces into tests, and monitor regressions with online evaluations.

How to Use Agenta

1. Add prompt variants and compare prompts or models side by side in the unified playground.
2. Save prompt versions so the team can track changes and return to previous configurations.
3. Build a test set and evaluate changes with built-in evaluators, LLM-as-a-judge, custom code, or domain-expert feedback.
4. Trace production requests and annotate failures with the team or collect user feedback.
5. Convert useful traces into tests and monitor production behavior with live evaluations.

Core Features

• Prompt playground: Compares prompts and models side by side in a shared environment.
• Version history: Records prompt changes so teams can trace experiments and configurations.
• Model-agnostic workflows: Supports models from different providers without tying the workflow to one vendor.
• Systematic evaluation: Runs repeatable experiments with built-in, LLM-based, custom-code, and human evaluators.
• Full-trace evaluation: Tests intermediate steps in an agent or LLM application's execution, not only the final response.
• Observability and feedback: Traces requests, annotates failures, gathers feedback, and monitors regressions.

Use Cases

• Prompt collaboration: Product managers, developers, and experts iterate on shared prompt versions.
• Release validation: Teams compare an updated prompt or model against a test set before production deployment.
• Agent debugging: Engineers inspect intermediate trace steps to locate the source of an incorrect result.
• Regression monitoring: Operations teams run online evaluations to detect declining application performance.
• Feedback-driven testing: Teams turn user feedback or a problematic production trace into a reproducible test.

Frequently Asked Questions

Is Agenta open source?

Yes. Agenta describes itself as an open-source LLMOps platform and links to its public GitHub project.

Can Agenta evaluate agent traces?

Yes. The site states that teams can evaluate intermediate steps in an agent's reasoning, not just its final output.

Does Agenta work with different model providers?

Yes. Agenta presents its prompt workflow as model agnostic.