
Agenta is an open-source LLMOps platform designed to help teams build reliable AI applications. It provides a centralized workspace for managing prompts, running evaluations, and debugging traces. By offering structured tools for prompt experimentation, automated testing, and production observability, Agenta helps developers and domain experts collaborate effectively to ship LLM applications faster and with greater confidence.
Compare prompts and models side-by-side in a single interface. Found an error in production? Save it to a test set and use it directly in the playground for quick iteration.
Create a systematic process to run experiments, track results, and validate every change. Integrate any evaluator—LLM-as-a-judge, built-in, or your own code evaluators—to replace guesswork with evidence.
Version prompts and keep track of every change. This ensures your team always knows what was tested, what worked, and what was deployed.
Use the best model from any provider without vendor lock-in. Agenta supports multiple LLM providers, giving you the flexibility to switch models as needed.
"Move from scattered workflows to structured processes by providing the tools you need to follow LLMOps best practices."
Agenta transforms chaotic prompt management into a structured, collaborative workflow. Instead of prompts scattered across Slack, Google Sheets, and emails, the platform centralizes everything in one place. This shift from "vibe testing" to evidence-based evaluation is what sets Agenta apart—teams can finally debug production issues with full trace visibility and validate improvements with automated tests.
You're building LLM applications and struggling with prompt management, evaluation, or debugging. If your team is working in silos, relying on guesswork to test changes, or lacking visibility into production performance, Agenta provides the infrastructure to move from ad-hoc workflows to reliable, collaborative LLMOps.
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moonbyte
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agenta.ai
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