Agenta

Agenta is an open-source LLMOps platform designed to help AI teams build reliable language model applications through integrated prompt management, evaluation, and observability. Unified Prompt Management: Centralize prompts, evaluations, and traces in one platform with complete version history and control Collaborative Playground: Compare prompts and models side-by-side with a unified interface that supports any model provider (no vendor lock-in) Automated Evaluation: Replace guesswork with systematic testing using LLM-as-a-judge, custom evaluators, and human feedback workflows Full Trace Observability: Monitor and debug AI systems by tracing every request, identifying failure points, and detecting regressions in production Cross-functional Collaboration: Enable product managers, developers, and domain experts to experiment, evaluate, and iterate together in a single workflow No-Code Experimentation: Provide non-technical experts with a safe interface to test and modify prompts without code access Teams struggling with scattered prompt workflows, inconsistent testing processes, lack of visibility into model performance, or difficult debugging in production. Agenta helps organizations transition from ad-hoc "vibe testing" to structured LLMOps best practices.