Open-source prompt management & evals for AI teams
Agenta is an open-source LLMOps platform for building reliable AI apps. Manage prompts, run evaluations, and debug traces. We help developers and domain experts collaborate to ship LLM applications faster and with confidence.
Agenta's observability features capture full execution traces, allowing teams to pinpoint exact failure points, track costs, and identify edge cases. Users can annotate problematic traces, add them to test sets, and iterate—creating a feedback loop from production back to development.
Agenta offers automated evaluation with LLM-as-a-judge, human annotation workflows, and online evaluation for production systems. Teams can run experiments, compare results, and validate changes with evidence instead of guesswork, then export annotated traces as labeled test sets.
Agenta is model-agnostic and framework-agnostic, supporting any LLM provider (OpenAI, Cohere, local models) and any architecture (Chain of Prompts, RAG, agents). The open-source MIT license allows self-hosting and modification, ensuring no vendor lock-in.
Agenta provides a unified playground and prompt management system where developers and non-technical domain experts can collaborate on prompts without touching code. Teams can version prompts, track changes, and deploy to production—replacing scattered Slack messages, spreadsheets, and email workflows.
Agenta empowers non-developers to iterate on LLM configurations, run evaluations, annotate results, and A/B test variants through the UI without touching code. Role-based access control and team features (on Business+ plans) support structured workflows across departments.